{ "query": "Give me a summary", "namespace": "9b7a0d3b-f149-4977-879c-cf22ea8d011f", "messages": [ { "role": "assistant", "content": "Hello! How can I assist you today? If you have any specific information you would like to know, feel free to ask!\n\nGive me a summary\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: MAG SKODA +WB\nKnowledgebase files:\n2024-07-25 Wo\u0308rterbuch_extern-update (1).docx\nAnlage 2 _ Medienversorgung Skoda CZ-DE(1).docx\nAnlage 2 _ Medienversorgung Skoda CZ-DE.docx\n22121726223700_lah___wsk_016_862_ae_1_v1_11(1).pdf\n22121726223700_lah___wsk_016_862_ae_1_v1_11.pdf\n12533161829500_tra___wsk_016_862_ae_1_v1_1(1).pdf\n12533161829500_tra___wsk_016_862_ae_1_v1_1.pdf\nStandardanschreiben(1).pdf\nStandardanschreiben.pdf\nTZ_Linka obrabeni motorove skrine elektropohonu SSP v5(1).pdf\nTZ_Linka obrabeni motorove skrine elektropohonu SSP v5.pdf\nTZ_Linka obrabeni motorove skrine elektropohonu SSP v5_DE(1).pdf\nTZ_Linka obrabeni motorove skrine elektropohonu SSP v5_DE.pdf\n240911_Skoda_Automation_GGH_Portal_direkt.pdf\n240910_Skoda_Automation_MGH_Portal_direkt(1).pdf\n240910_Skoda_Automation_MGH_Portal_direkt.pdf\nAnfrage Mail.pdf\nInterni smernice - komponenty SZ_DE(1).pdf\nInterni smernice - komponenty SZ_DE.pdf\nInterni smernice - komponenty SZ_CZ(1).pdf\nInterni smernice - komponenty SZ_CZ.pdf\nMGH Anlage 14(1).pdf\nMGH Anlage 14.pdf\nDifferenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE(1).pdf\nDifferenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf\nVW 10130_CS(1).pdf\nVW 10130_EN(1).pdf\nVW 10130_EN.pdf\nVW 10130_CS.pdf\n240910_Skoda_Automation_MGH_Portal_direkt.pptx\n0qa_901_108-sspha_mg_ftz.pdf\nVW 10130_DE(1).pdf\n240911_Skoda_Automation_GGH_Portal_direkt.pptx\n0qa_901_108-sspha_mg_ftz(1).pdf\nVW 10130_DE.pdf\nKnowledgebases crawlers:\n" }, { "role": "user", "content": "Hallo" }, { "role": "assistant", "content": "" }, { "role": "user", "content": "Hallo" }, { "role": "assistant", "content": "Hallo! Wie kann ich Ihnen heute helfen? Gibt es spezifische Informationen, die Sie gerne wissen m\u00f6chten?" }, { "role": "user", "content": "Hallo" }, { "role": "assistant", "content": "Hallo! Wie kann ich Ihnen heute behilflich sein? Gibt es etwas Bestimmtes, wor\u00fcber Sie sprechen m\u00f6chten?" }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "To provide you with a summary, I would need more specific information about the content or topic you would like summarized. Since you mentioned a knowledgebase related to \"MAG SKODA +WB,\" I can summarize the key documents or themes within that context if you specify which files or topics you are interested in. \n\nPlease let me know how you would like to proceed!" }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "It seems there was a misunderstanding in my previous responses. I appreciate your patience. Here\u2019s a general summary based on the context of the \"MAG SKODA +WB\" knowledgebase, which includes various documents related to Skoda's operations, automation, and internal guidelines:\n\n1. **Documentation Overview**: The knowledgebase contains a variety of documents, including dictionaries, internal guidelines, and technical specifications related to Skoda's operations in both Czech and German contexts.\n\n2. **Technical Specifications**: Several documents detail the processing lines for electric motor housings, indicating a focus on automation and efficiency in manufacturing processes.\n\n3. **Internal Guidelines**: There are internal directives concerning components, which likely outline standards and procedures for quality control and operational efficiency within Skoda's production facilities.\n\n4. **Automation Portals**: Documents related to automation portals suggest an emphasis on integrating advanced technologies into Skoda's manufacturing processes, enhancing productivity and streamlining operations.\n\n5. **Differential Descriptions**: Some files provide comparative analyses or descriptions of differences within the Volkswagen Group, indicating a broader context of collaboration and standardization across the group.\n\n6. **Standard Correspondence**: The presence of standard correspondence templates indicates a structured approach to communication within the organization.\n\nIf you have specific documents or topics from the knowledgebase that you would like me to summarize in more detail, please let me know!" }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "Certainly! Here\u2019s a more detailed summary of the \"MAG SKODA +WB\" knowledgebase based on the documents listed:\n\n1. **Dictionaries and Language Resources**:\n - The knowledgebase includes external dictionaries (e.g., \"W\u00f6rterbuch_extern-update\") that likely serve as language resources for translating technical terms between Czech and German, facilitating communication and documentation in multilingual contexts.\n\n2. **Media Supply Documentation**:\n - Documents such as \"Anlage 2 _ Medienversorgung Skoda CZ-DE\" focus on media supply, which may pertain to the distribution of materials or resources necessary for production and operations at Skoda.\n\n3. **Technical Specifications for Manufacturing**:\n - Several PDFs, including \"TZ_Linka obrabeni motorove skrine elektropohonu SSP,\" detail the processing lines for electric motor housings. These documents likely outline the technical requirements and processes involved in manufacturing electric vehicle components, emphasizing Skoda's commitment to electric mobility.\n\n4. **Internal Guidelines**:\n - The \"Interni smernice - komponenty SZ_DE\" and \"Interni smernice - komponenty SZ_CZ\" documents provide internal directives regarding component standards and procedures. These guidelines are essential for maintaining quality control and operational efficiency within Skoda's production facilities.\n\n5. **Automation Initiatives**:\n - Documents like \"240910_Skoda_Automation_MGH_Portal_direkt\" and \"240911_Skoda_Automation_GGH_Portal_direkt\" suggest a focus on automation in manufacturing processes. These may include portals for managing automation systems, indicating Skoda's efforts to enhance productivity through technology.\n\n6. **Comparative Analyses**:\n - The \"Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE\" document likely provides insights into the differences and similarities within the Volkswagen Group's operations, which can be crucial for aligning practices across different brands.\n\n7. **Standard Correspondence Templates**:\n - The \"Standardanschreiben\" documents indicate the existence of standardized templates for correspondence, which can streamline communication processes within the organization.\n\n8. **Presentations and Visual Aids**:\n - The presence of PowerPoint presentations (e.g., \"240910_Skoda_Automation_MGH_Portal_direkt.pptx\") suggests that visual aids are used to communicate complex information regarding automation and operational strategies effectively.\n\nThis summary encapsulates the key themes and documents within the \"MAG SKODA +WB\" knowledgebase. If you need further details on specific documents or topics, please let me know!" }, { "role": "user", "content": "Give me a summary" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4157:1727426113059", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gpt-4o-mini-2024-07-18", "knowledgebase": "ki-dev-large", "seed": 1029, "client_id": 1727426113059, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": 35, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: Give me a summary Model: gpt-4o-mini-2024-07-18 **Elapsed Time: 0.00 seconds** ROUTING Query type: summary **Elapsed Time: 12.41 seconds** RAG PARAMETERS Max Context To Include: 100 Lowest Score to Consider: 0.1 ================================================== **Elapsed Time: 0.14 seconds** ================================================== VECTOR SEARCH ALGORITHM TO USE Use MMR search?: True Use Similarity search?: False ================================================== **Elapsed Time: 0.10 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 5.91 seconds** ================================================== PRIMER Primer: You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that can read knowledgebases through the "CONTEXT" that is included in the user's chat message. Your role is to act as an expert at summarization and analysis. In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality. Be honest by admitting when a topic falls outside your scope of knowledge, and suggest alternative avenues for obtaining information when necessary. Make effective use of chat history to avoid redundancy and enhance response relevance, continuously adapting to integrate all necessary details in your interactions. Use as much tokens as possible to provide a detailed response. **Elapsed Time: 0.19 seconds** FINAL QUERY Final Query: CONTEXT: ########## File: VW%2010130_CS.pdf Page: 1 Context: ### Prozessbeschreibungen (Process Descriptions) **Image 1**: - The table of contents implies detailed descriptions of the steps taken to evaluate machine capabilities. This includes collecting samples, using testing resources, statistical assessments, and special rules for data collection and evaluation. ### Contextual Significance **Image 1**: - This document appears to be part of a technical standard or guideline manual from Volkswagen AG, outlining the procedures for evaluating machine capabilities. This could form part of internal quality assurance and process optimization efforts. The significance is likely centered around maintaining high standards of production efficiency and product quality within the company. ### Tables **Image 1**: - No tables are visible in the image. ### Perspective and Composition **Image 1**: - Perspective: The image is a direct, upright scan or photograph of a document. - Composition: It focuses on centering the document for clear visibility of the text and structure, designed for easy reading and reference. ### Anomaly Detection **Image 1**: - There do not appear to be any anomalies or unusual elements in this image. ### Color Analysis **Image 1**: - The color scheme is black text on a white background, typical for documents to ensure readability and emphasis on information. ### Summary The analyzed image is a cover page of a technical report from Volkswagen AG detailing the processes and guidelines for conducting machine capability tests on measurable characteristics. The document is technical in nature, meant for internal use, and emphasizes thorough procedural instructions. #################### File: VW%2010130_CS.pdf Page: 2 Context: # Úvod Posouzení způsobilosti stroje z hlediska sledovaných měřitelnych výrobních charakteristik je důležitým předpokladem pro splnění stanovených kvalitativních požadavků. Pro mnoho praktických případů pro způsobilost však neexistují normy nebo jednotné konečné směrnice, takže se studený případ mohl vyplynout celou řadu různých hodnocení způsobilosti. Tato norma byla tedy zpracována, aby bylo možno provádět prověrky způsobilosti podle jednotných pravidel pro všechny praktické případy a tím byla zajištěna srovnatelnost výsledků. Norma obsahuje v uzavřené formě kompletní teoretické podklady, které jsou nutné pro použití a interpretaci. Pouze statistické testy, které již byly podrobně popsány v normách nebo odborné literatuře, jsou uvedeny pouze pomocí odkazu. Cílem prověrky způsobilosti stroje podle této normy počítačový program, ve kterém jsou realizovány popsané algoritmy. Pokud je takový program k dispozici, může se vycházet z této normy i v podstatě na ustanovení oddílu 4 a v případě potřeby si může nalistovat teoretické poznatky. Nejduležitější podmínky jsou naproti tomu: 1. 4 - Odrážení namátkových vzorků 2. 4.5 - Dokumentace 3. 4.6 - Posouzení výsledků V oddílu 5 jsou navíc uvedeny příklady, které mají sloužit jako pomůcka pro posouzení výsledků. # 1 Účel a oblast použití Cílem prověrky způsobilosti stroje je dokumentované posouzení, zda prověřovaný stroj umožňuje bezpečnou výrobu sledovaných charakteristik v rámci definovaných mezních hodnot. V ideálním případě by přitom měly na výrobní proces působit pouze úvahy podmíněným strojem. Jak a za jakých předpokladů je nutno provádět prověrky způsobilosti stroje, je předmětem této normy. Je použitelné na libovolné průběžné (měřitelné) výrobní charakteristiky. 1. Níže pro tento druh charakteristik uveden název „měřitelné charakteristiky“ místo názvu „průběžné charakteristiky“ uvedeného v DIN, proto je tento výraz ze VW zajištěn. Image Analysis: Here is the detailed analysis of the provided image: ### Localization and Attribution: - **Image 1** is located at the top of the page, occupying the entire space of the page. ### Text Analysis: - The image is a document page written in Czech, consisting primarily of text. - **Heading:** - The first section headings are "Úvod" (Introduction) and "Účel a oblast použití" (Purpose and Scope of Use). - **Content:** - **Introduction:** - Describes that the inspection of the machine's capability in terms of monitored measurable production characteristics is a necessary prerequisite for meeting set qualitative requirements. - Indicates that previous verifications were not standardized and lacked a unified guideline. - Explains that the included standard was developed to provide a common framework to ensure the verifications' validity. - **Procedure Sections:** - It lists various sections/references within the document for further procedures: - **4.2**: "Odběr namátkových vzorků" (Random Sampling) - **4.5**: "Dokumentace" (Documentation) - **4.6**: "Posouzení výsledků" (Evaluation of Results) - Additionally, examples are provided in section V to aid in the evaluation. - **Purpose and Scope of Use:** - States the aim of the verification is to document whether the tested machine allows for the safe production of monitored characteristics within defined limits. - Specifies that ideally, the production process should only be influenced by the machine. - Discusses the prerequisites necessary for conducting the verification of the machine's capability according to this standard. - Indicates that the standard is applicable to any measurable production characteristic in continuous production. ### Contextual Significance: - The document appears to be a technical or procedural manual related to manufacturing or production quality assessment, specifically for the Volkswagen (VW) corporation. - The detailed instructions and standard references suggest it is used by professionals to ensure consistency and reliability in machine evaluations within the production environment. #################### File: VW%2010130_CS.pdf Page: 3 Context: # 2 Princip prověrky způsobilosti stroje Na základě náhodných vlivů vyplývajících z výroby různých druhů stejných druhů pomocí prověřovaného stroje zásadně rozdílné hodnoty sledovaných charakteristik. Tyto hodnoty charakteristiky \(S\) jsou v závislosti na kvalitě výroby rozptylené okolo polohy podmíněné systematickými vlivy. Proto se prověřuje, jak dobře souhlasí rozdělení hodnot charakteristiky s tolerančním intervalem definovaným konstruktorem (obrázek 1). Výhodnocení tohoto je vyjádřeno parametry způsobilosti \(C_p\) a \(C_{pk}\) (kdž solo kapacity), přičemž hodnota \(C_{pk}\) zohledňuje polohu výroby rozptylu a hodnota \(C_p\) také polohu výroby. Tyto charakteristiky musí být minimálně tak velké jako definované mezní hodnoty, aby byl splněn požadavek na způsobilost výrob. Pro zjištění charakteristiky způsobilosti z hlediska sledované charakteristiky je nutno zhodnotit možné identifikační podmínky kategorií vlivu materiál, člověk, metoda a prostředí, abychom mohli zjistit pozici vůči stroji. Z tohoto vzorku se v souladu s očekáváním vhodně pohybuje v hranice intervaluu spolehlivosti \(X_{13,5}\), \(X_{99,865}\), což zahrnuje soubor hodnot charakteristik (teoreticky nekonečný počet) a porovná se s intervalem stanovený tak, že podle hodnot do jednotlivých oblastí rozptylu na obě strany vždy \(p_e = 0,135\). Na základě kontroly, zda hodnoty charakteristiky odpovídají očekávané zakonitosti. ## Tolerance ![Obrázek 1 - Příklad rozdělení hodnot charakteristiky v rámci definovaného tolerančního intervalu](path_to_image) \[ \text{Hodnota charakteristiky} = p_{e} \quad G_L \quad G_U \] 2. Pojem hodnoty charakteristiky nesmí být zaměňován s měrnou hodnotou, protože posléze uvedený pojem obsahuje v porovnání s giveny určitou nejasnost. 3. Pro označení mzněných hodnot ji přípustné taktéž USG, OSG nebo USL, OSL nebo Tu, To. Image Analysis: ### Localization and Attribution: 1. **Image Numbering**: - **Image 1**: This is located at the middle and integrates textual data with a schematic representation. ### Object Detection and Classification: 2. **Objects Detected**: - **Image 1**: - Object Type: Diagram/Graph - Key Features: Contains a bell curve with values on the X and Y axes, and labels denoting specific points on the curve. ### Scene and Activity Analysis: 3. **Scene Description**: - **Image 1**: Shows a bell curve graph that depicts the distribution of a characteristic in relation to defect rates, with accompanying descriptive text explaining the significance of the distribution. ### Text Analysis: 4. **Extracted Text**: - Document Title: "Princip prověrky způsobilosti stroje" - Section Title: "2" - Detailed Description: The text explains a principle of machine capability verification. It involves statistical parameters, methodical characteristics, and the depiction of a characteristic’s tolerance and distribution. - Key Phrases: "Náhodných vlivů", "výrobek", "díl", "stejného druhu", "hodnoy shvěro", "II". ### Diagram and Chart Analysis: 5. **Diagram Description**: - **Axes**: - X-axis: Hodnota charakteristiky (Characteristic value) - Y-axis: Četnost (Frequency) - **Legend**: - p = 0.135%: This represents the probability or confidence interval marks on both sides of the bell curve. - G_l and G_u: Represent the lower and upper tolerance limits respectively, in a process distribution context. - μ (mu): The mean value of the distribution. - X_0.135% and X_99.865%: Points on the curve indicating edges of the tolerance limits for a specified confidence level. ### Textual Explanation in Image Context: - This diagram illustrates how the distribution of a characteristic falls within a defined tolerance interval, highlighting the areas of very low probability (0.135%) which lie outside the tolerance limits. This is significant for quality control and indicating machine or process capability. ### Trend and Interpretation: 12. **Trends Identified**: - The bell curve indicates a normal distribution where the majority of values cluster around the mean μ and decrease symmetrically towards the tails. This suggests a process that is statistically controlled with most values falling within the specified tolerance limits. ### Tables: 14. **Analyzed Content**: - There is no specific table in the provided visual content. ### Metadata Analysis: 15. **Available Metadata** (from visible content): - Document Identifier: "VW 101 30: 2005-02" - Page Number: "Strana 3" - These references are to the document’s standard and page number. ### Graph and Trend Analysis: 13. **Detailed Analysis**: - Central Value (μ): Represents the average or target value for the characteristic being measured. - Limits (G_l and G_u): Define the acceptable tolerance range for the process. - Probability Cutoffs (p = 0.135%): Define the thresholds at which values are considered outliers in the tolerance interval. ### Abschlussprozesse (Process Flows): This relates to the explanation provided in the text about the verification of machine capability by checking the spread and alignment of production values with the specified tolerance limits. ### Contextual Significance: 10. **Document contribution**: - The image supports the textual explanation of machine capability verification by visually representing how production values are distributed within the specified tolerances, thereby aiding in understanding and adhering to the statistical principles of quality control. This comprehensive analysis integrates various aspects of the provided visual content, highlighting key features, textual context, and diagrammatic interpretation to provide detailed insights into the information conveyed in the image. #################### File: VW%2010130_CS.pdf Page: 6 Context: # Strana 6 VW 101 30: 2005-02 Obrázek 3 ukazuje funkce rozdělení pravděpodobnosti, která vyplyne ze složení hustoty normálního rozdělení při různých posunech nulového bodu. ![Obrázek 3 – Funkce hustoty Weibullova rozdělení s různými posuny nulového bodu](path/to/image) **Střední hodnota a rozptyl Weibullova rozdělení zná:** \[ \mu = \mu_H + \left( \frac{H_N}{\sigma_N} \right) - \frac{2 - \sigma_N}{\sqrt{2\pi}} \] (1.9) \[ \sigma^2 = H_N - \mu^2 \] (1.10) Pro případ nulového bodu \(\mu_N = 0\) vyplyne z (1.9) a (1.10): \[ \mu = -\frac{2 - \sigma_N}{\sqrt{2\pi}} \] (1.11) \[ \sigma^2 = \left( 1 - \frac{2}{\sigma_N} \right) \] (1.12) Jak ukazuje obrázek 3, blíží se Weibullovo rozdělení s rostoucím posunem nulového bodu normálnímu rozdělení. Tak lze pro případ: \[ \frac{\mu}{\sigma} \approx 0 \] (1.13) Weibullovo rozdělení dobře aproximálně nahrazuje normálním rozdělením. Image Analysis: ### Comprehensive Examination of the Visual Content #### 1. Localization and Attribution - **Image Position**: The analyzed visualization, which contains a graph and related mathematical formulas, is centrally located on the page. - **Image Number**: Image 1. #### 2. Object Detection and Classification - **Graph**: Present, labeled "Obrázek 3 - Funkce hustoty Weibullova rozdělení s různými posuny nulového bodu." - **Mathematical Formulas**: Displayed below the graph with sequential numbering. #### 3. Scene and Activity Analysis - **Actors**: No human actors present. - **Activities**: The page primarily involves the examination and explanation of statistical distributions. #### 4. Text Analysis - **Detected Text**: The text is in Czech. Key text includes: - Title: "Obrázek 3 - Funkce hustoty Weibullova rozdělení s různými posuny nulového bodu." - Additional Descriptions: Explanations of mathematical formulas and their notation. - **Content Analysis**: The text is critical for understanding how the Weibull distribution function changes with different zero point shifts. #### 5. Diagram and Chart Analysis - **Graph Analysis**: - **Axes**: - **X-Axis**: "Hodnota charakteristiky" (translated: Characteristic Value) - **Y-Axis**: "Hustota pravděpodobnosti" (translated: Probability Density) - **Trends**: Multiple curves represent Weibull distributions with different zero point shifts. As the shift increases (indicated as \( μ_N \)), the curves diverge and intersect at various points. #### 7. Anomaly Detection - **Possible Anomalies**: No apparent anomalies or unusual elements. The presentation appears standard and consistent with scientific formats. #### 8. Color Analysis - **Color Composition**: Predominantly black and white, with distinct black curves on a white background. This high contrast aids in clarity and comprehension. #### 9. Perspective and Composition - **Perspective**: The image is a frontal view, common for graphs. - **Composition**: Top to bottom flow; the graph at the top is followed by descriptive mathematical explanations. #### 10. Contextual Significance - **Document Context**: The document seems to be a technical or academic piece addressing statistical distributions, likely for educational or research purposes. - **Contribution to Overall Message**: The image and accompanying explanations demonstrate the behavior and calculation of Weibull distribution, especially under varied conditions. This contributes significantly to mathematical or statistical analysis. #### 12. Graph and Trend Analysis - **Analysis of Trends**: - **Data Points**: While specific numeric data points aren't noted on the curves, the intersecting lines and the gradual changes in the curves denote how shifts in the zero point (\( μ_N \)) affect the Weibull distribution shapes. - **Interpretation**: As indicated, the Weibull distribution can approximate normal distribution under certain shifts of the zero point. ### Conclusion The provided image is a detailed graphical and mathematical analysis of the Weibull distribution, specifically examining how shifts in the zero point affect the distribution's density function. The clean presentation, logical flow, and detailed mathematical annotations provide a comprehensive understanding of the distribution's behavior, making it valuable for those studying statistical distributions. #################### File: VW%2010130_CS.pdf Page: 7 Context: # 3.1.3 Rayleighovo rozdělení Rayleighovo rozdělení vyplývá z vektorových hodnot ortogonálních komponent x a y dvourozměrného normálního rozdělení, přičemž pro komponenty jsou předpokládány stejné standardní odchylky. Tento případ nastává u mnoha výrobních charakteristik ve formě radiálních odchylek r od sledovaného bodu nebo sledované osy. ## Funkce hustoty a funkce rozdělení Rayleighova rozdělení obecně zní \[ f_{2}(r) = \frac{1}{2 \pi \sigma_{d}^{2}} e^{-\frac{r^{2}}{2\sigma_{d}^{2}}} \quad \text{pro } r \geq 0 \] (1.14) \[ F_{2}(r) = \int_{0}^{r} f_{2}(t) \, dt = 1 - e^{-\frac{r^{2}}{2\sigma_{d}^{2}}} \] (1.15) přitom: - \(\sigma_{d}\): Standardní odchylka ortogonální složky x a y, ze které vyplývá radiální odchylka r od referenčního bodu nebo od referenční osy - \(z\): Excentricita: Vzdálenost mezi počátkem soustavy souřadnic a středem čtverce Obrázek 4 ukazuje funkce rozdělení pravděpodobnosti Rayleighova rozdělení, které vyplývají z různých excentricit v jednotkách \(\sigma_{d}\). ![Obrázek 4 – Funkce hustoty Rayleighova rozdělení s různými excentricitami](image_link) Střední hodnota a rozptyl Rayleighova rozdělení zní. Image Analysis: ### Image Analysis #### 1. Localization and Attribution: - **Image Position**: The page contains a single image located at the bottom part of the document. - **Image Number**: Image 1. #### 2. Object Detection and Classification: - **Objects Identified**: The image includes a chart or graph. - **Category**: Data visualization. #### 3. Scene and Activity Analysis: - **Scene Description**: The image is of a graph illustrating the probability density functions of Rayleigh distributions with various eccentricities. #### 4. Text Analysis: - **Text Detected**: - "3.1.3 Rayleighovo rozdělení" - "Rayleighovo rozdělení vyplyne z vektorových hodnot ortogonálních komponent x a y dvourozměrného normálního rozdělení, přičemž pro komponenty jsou předpokládány stejné standardní odchylky. Tento případ nastává u mnoha výrobních charakteristik ve formě radiálních odchylek r od sledovaného bodu nebo sledované osy." - "Funkce hustoty a funkce rozdělení Rayleighova rozdělení obecně zní" - Various mathematical formulas and constructs. - "Obrázek 4 ukazuje funke rozdělení pravděpodobnosti Rayleighova rozdělení, které vyplynou z různých excentricit v jednotkách σN." - **Text in Graph**: - "Hustota pravděpodobnosti" - "Hodnota charakteristiky" - Markings on the graph: Z=0, Z=1σN, Z=2σN, Z=3σN - "Obrázek 4 - Funkce hustoty Rayleighova rozdělení s různými excentricitami" - "Střední hodnota a rozptyl Rayleighova rozdělení zní" #### 5. Diagram and Chart Analysis: - **Chart Analysis**: - **Axes**: - X-axis: "Hodnota charakteristiky" (Characteristic Value). - Y-axis: "Hustota pravděpodobnosti" (Probability Density). - **Features**: - Multiple overlaid probability density curves are shown for different eccentricities, indicated by Z=0, Z=1σN, Z=2σN, and Z=3σN. - The chart illustrates how the shape of the Rayleigh distribution varies with changes in eccentricity. #### 8. Color Analysis: - **Color Composition**: The image appears to be in grayscale, with different shades used to differentiate the various curves in the graph. - **Dominant Colors**: Shades of black and gray. #### 9. Perspective and Composition: - **Perspective**: The image is a standard two-dimensional chart view, looking directly at the graph. - **Composition**: The graph is centered at the bottom of the page with clear X and Y axes and labeled curves, making it easy to interpret. #### 10. Contextual Significance: - **Contribution**: This graph is critical for understanding the properties and effects of varying eccentricities on Rayleigh distribution. It supports the textual explanation provided above it and demonstrates the practical application of the theoretical concepts discussed in the document. #### 13. Graph Numbers: - **Data Point Description**: Not explicitly provided, but the curves demonstrate typical behavior expected in Rayleigh distributions: as eccentricity increases, the peak of the probability density decreases and shifts. ### Summary: Image 1 presents a detailed graph depicting the Rayleigh distributions for different eccentricities, enhancing the understanding of related statistical concepts. The text above the graph explains the theoretical background and mathematical foundations, while the graph itself illustrates the practical impact of changing eccentricity values on Rayleigh distribution. The clear, grayscale image effectively communicates complex statistical information in an accessible visual format. #################### File: VW%2010130_CS.pdf Page: 10 Context: # 3.2.1.2 Odhad statistických parametrů Statistické parametry střední hodnota \( \mu \) a smírodatná odchylka \( \sigma \) základního souboru lze nezávisle na distribučním modelu podle očekávání odhadnout z naměřených hodnot vzorku pomocí vzorců: \[ \mu = \frac{1}{n} \sum_{i=1}^{n} x_i \tag{2.6} \] \[ \sigma^2 = \frac{1}{n - 1} \sum_{i=1}^{n} (x_i - \bar{x})^2 \tag{2.7} \] přičemž: - \( n_p = n_e - n_a \): efektivní rozsah namátkové zkoušky - \( n_a \): zvolený rozsah namátkové zkoušky - \( n = \): počet odlehlých hodnot - \( \hat{\theta} \): i-tá hodnota parametru V případě vyhodnocovaných dat ve formě rozdělení četností tříděných naměřených hodnot, např. v rozčlenění za oblastí jako formy čárek v rozdělení tříd rozsahu hodnot (statistika četností) lze odhadnout parametry \( \mu \) a \( \sigma \) pomocí vzorce: \[ \hat{\mu} = \frac{1}{n} \sum_{k=1}^{K} f_k \cdot x_k \tag{2.9} \] \[ \sigma = \sqrt{\frac{1}{n} \sum_{k=1}^{K} f_k \cdot (x_k - \bar{x})^2} \tag{2.10} \] přičemž: - \( x_k \): střední hodnota k-té třídy - \( f_k \): absolutní četnost naměřených hodnot v k-té třídě (bez mimořádných hodnot) - \( K \): maximální počet naměřených hodnot ## 3.2.1.3 Odhad hranic intervalu spolehlivosti Hranice intervalu spolehlivosti závisí na distribučním modelu a odhadují se následujícím způsobem: ### Hranice intervalu spolehlivosti normálního rozdělení: V případě normálního rozdělení jako vhodného distribučního modelu vyplněnou hodnot zjištěných podle (2.6) a (2.7) popř. (2.9) a (2.10) jako \( \hat{\mu} \) a \( \hat{\sigma} \) pro oblast intervalu spolehlivosti: \[ \hat{I} = \hat{\mu} \pm z_{\alpha/2} \cdot \hat{\sigma} \tag{2.11} \] které opět po dosazení do vzorců (2.1) a (2.2) dají klasické vzorce pro výpočet charakteristik způsobilosti (viz také příklad 1 v oddílu 5). Image Analysis: ### Analysis of Visual Content #### 1. Localization and Attribution - This visual content contains a single page consisting mainly of text and mathematical notations. For the purpose of this analysis, it will be referred to as **Image 1**. #### 4. Text Analysis - **Title and Section Numbers:** - The page begins with "Strana 10", which means "Page 10" in Czech. - Standard reference: "VW 101 30: 2005-02". - Section "3.2.1.2 Odhad statistických parametrů" translates to "Estimation of Statistical Parameters". - **Content Description:** - **Subsection (Statistical Parameters):** - Talks about the mean value (μ) and standard deviation (σ) of a sample. - Equations (2.6) describe the computation of the mean: - \(\hat{μ} = \frac{1}{n_e} \sum_{i=1}^{n_e} x_i\) - Equation (2.7) describes the computation of the standard deviation: - \(\hat{σ}^2 = \frac{1}{n_e - 1} \sum_{i=1}^{n_e} (x_i - \bar{x})^2\) - **Explanation of Terms (Equations and Variables):** - \(n_e\): Effective sample size. - \(n_a\): Chosen sample size. - \(n_o\): Number of outliers. - \(x_i\): i-th observed value. - **Distribution of Frequency Data:** - Equations (2.9) and (2.10) provide methods to estimate parameters with frequency data. - **Interval Estimates (Confidence Interval):** - Section "3.2.1.3 Odhad hranic intervalu spolehlivosti" translates to "Estimation of Confidence Interval Limits". - Equation (2.11) defines boundary estimation using standard deviation: - \(x_{1-α/2} = \hat{x} \pm 3\hat{\sigma}\), assuming a normal distribution. #### 6. Product Analysis - N/A (The page contains no relevant product imagery or descriptions). #### 9. Perspective and Composition - **Perspective:** - The perspective of the image is a straightforward, flat view of a document page, conducive to reading. - **Composition:** - Text is composed in a traditional structured manner, common in technical or scientific documents. - Equations are interspersed within the text, formatted clearly for comprehension. #### 12. Graph and Trend Analysis - N/A (The page contains no graphical plots or trends). #### 13. Graph Numbers - N/A (The page does not contain graphs with data rows). #### Contextual Significance - The page appears to be part of a technical or academic document, specifically focusing on statistical analysis and estimation methods. The context implies it is likely part of a standardized instruction or educational material, possibly related to an engineering or scientific field. - The inclusion of mathematical equations and the focus on statistical parameters suggest the intended audience is individuals with a foundational understanding of statistics. Overall, the detailed text analysis suggests that the document is instructional or explanatory in nature, intended for readers who are learning about or applying statistical methodologies. #################### File: VW%2010130_CS.pdf Page: 11 Context: # Hranice intervalu spolehlivosti Weibullova rozdělení Pro zjištění hranic intervalu spolehlivosti pro Weibullova rozdělení se nejprve podle vzorce (2.6) a (2.7), popř. (2.9) a (2.10) odhadnou veličiny \(\eta\) a \(\sigma\). Pro případ, že \(2 < \frac{\mu}{\sigma} < 3\) se pak z odhadnutých veličin \(\eta\) a \(\sigma\) způsobem odhadu hledají hodnoty parametrů \(\mu_N\) a \(\sigma_N\) příslušného Weibullova rozdělení: Z rovnice (1.9) získáme funkci \[ \frac{\bar{\mu}}{\sigma} = \frac{\left( \frac{\partial \bar{\mu}}{\partial \eta} \right) }{\left( \frac{\partial \bar{\mu}}{\partial \sigma} \right)} + 2 \cdot \frac{\eta}{\sigma} \cdot \frac{e^{-\frac{\eta}{\sigma}}}{\sqrt{2\pi}} \cdot \frac{\partial L}{\partial \sigma} \tag{2.12} \] Pomocí rovnice (1.10) z toho vyplývá funkce \[ \mu = \psi \cdot \left( \frac{\bar{\mu}}{\sigma} \right) \tag{2.13} \] Z rovnic (1.11) a (1.12) vyplývá podmínka \[ \frac{\bar{\mu}}{\sigma} = \frac{\sqrt{2}}{ \sqrt{\pi - 2}} = 1.3236 \tag{2.14} \] Hledané hodnoty parametrů Weibullova rozdělení tak lze za podmínek (2.14) odhadnout pomocí \[ \sigma_N = \left( 1 + \left( \frac{\bar{g}}{\eta} \right)^2 \right) \cdot \left( \frac{\bar{\psi}}{\eta} \right)^2 \tag{2.15} \] \[ \mu_N = \bar{\alpha} \left( \frac{\bar{g}}{\eta} \right) - \delta_N \tag{2.16} \] přičemž \[ \bar{g} = \text{inverzní funkce } k \tag{2.17} \] Pro případ, že by poměr \(\mu / \sigma\) na základě náhodných odchylek parametrů vzorků byl menší než mezní hodnota 1.3236 z podmínky (2.14), je poměr \(\mu / \sigma\) nastaven na tuto mezní hodnotu, při které vyplynou následující hodnoty parametrů: \[ \mu_N = 0 \text{ podle vzorce (1.12)} \] \[ \sigma_N = \sqrt{\frac{\pi}{\pi - 2}} \cdot 1.659 \cdot \hat{g} \tag{2.17} \] Image Analysis: ### Comprehensive Examination of the Visual Content: #### 1. **Localization and Attribution:** - Only one page/image is present. - Thus, this is **Image 1**. #### 2. **Object Detection and Classification:** - The primary objects detected in the image are as follows: - **Text**: Primarily in the Czech language, with various mathematical equations. - **Mathematical Notations**: Numerous equations and variables related to the Weibull distribution. #### 4. **Text Analysis:** - **Detected Text (in Czech):** - Title: "Hranice intervalu spolehlivosti Weibullova rozdělení" - Description of methodology for deriving confidence intervals for the Weibull distribution. Reference to equations and conditions for calculating μ̂ and σ̂. - Equations (e.g., equations 2.12, 2.13, 2.14, etc.) are outlined throughout the text. - Mention of parameters: μ̂, σ̂, ψ, θ, ξ, k, and specific constants. - Application of the method for different cases, including references to formulas 2.15 and 2.17. - **Content Analysis and Significance:** - The text details the process of determining confidence intervals for the Weibull distribution. - Equations provided in the text, along with their conditions and necessary adjustments, are vital for statistical calculations related to reliability engineering and life data analysis. - The significant constants and functions derived play a crucial role in achieving accurate estimation. #### 8. **Color Analysis:** - The entire page is monochrome (black text on white background). - Dominant colors: Black and white. - Impact: Monochrome setup ensures clarity and focus on mathematical content without distractions. #### 9. **Perspective and Composition:** - **Perspective:** - Straight-on view of the text and equations, similar to an academic paper. - **Composition:** - Structured and organized with sections, equations, and explanatory text. Equations are referenced and numbered systematically. - Uses mathematical notation standards, ensuring clarity for readers familiar with the subject matter. #### 11. **Metadata Analysis:** - **Metadata present on the page:** - "Strana 11" (Page 11) - Document identifier: "VW 101 30: 2005-02" - **Contribution to Image Analysis:** - These metadata elements indicate that this is part of a larger document, likely a technical paper or a standard reference document dated February 2005. #### 12. **Graph and Trend Analysis:** - Although no explicit graphs are visible, the series of equations and their dependencies could represent trends in the data if plotted. - Interpretation of equations and relationships between variables can direct trends in reliability and quality metrics calculated from the Weibull distribution. ### Additional Aspects: #### **Process Descriptions (Prozessbeschreibungen):** - Detailed steps are described for deriving confidence intervals of the Weibull distribution. This includes: - Use of initial equations. - Manipulations to reach simplified forms. - Final conditions for variables. #### **Typen Bezeichnung (Type Designations):** - Various types of functions and variables such as: - Inverse function "ξ"} - Functions "ψ" and "θ". - Conditional variance "σ̂" #### **Trend and Interpretation:** - Trends in the equations provided indicate a relationship between the mean and variance of the Weibull distribution under different conditions. This is significant for reliability analysis, helping in maintenance planning and lifespan estimation. #### **Tables:** - There are no explicit tables in the image. ### Summary: The page provides a detailed explanation and mathematical derivations for calculating confidence intervals for the Weibull distribution. It uses a systematic approach with labeled equations and clear methodological steps. This is crucial for statistical analyses in fields such as reliability engineering. The metadata indicates this is part of a larger technical document. #################### File: VW%2010130_CS.pdf Page: 13 Context: Pro primé zjištění charakteristik \(\mu_N\) a \(\sigma\) z charakteristik \(\mu\) a \(\sigma\) pro \(1.3236 < \frac{\sigma}{\mu} < 3\) s dostatečnou přesností použít následující aproximaci jako inverzní funkci vztahu (2.13) (chyba vztažena na \(\sigma\) méně než 0,1): \[ \frac{\sigma}{\mu} = 1.604 \left( \frac{a}{1.3236} \right) + 0.634 \left( \frac{a}{1.3236} \right)^2 \] Navíc může být zjištěn hranic intervalů spolehlivosti pro \(1.3236 < \frac{\sigma}{\mu} < 3\) provedením pomoci následující aproximace (chyba vztažena na \(\sigma\) je menší než 0,02): \[ \begin{aligned} & \frac{Z_{0.05}}{ \sqrt{n}} \left( \frac{a}{1.3236} \right) = 1.321 \\ & \frac{R}{\sqrt{n}} \left( \frac{a}{1.3236} \right) = \text{(další výraz)} \end{aligned} \] Pro \(\frac{I}{\sigma < 3}\) se vypočet hranic intervalů spolehlivosti provedlo podle 2.11. ## Hranice intervalu spolehlivosti Rayleighova rozdělení: Pro zjištění hranic spolehlivosti pro Rayleighovo rozdělení (viz také příklad 2 v oddílu 5) se nejprve podívejte vzorce (2.6) a (2.7), popřípadě (2.9) a (2.10) odhadnouvací veličiny \(\mu\) a \(\sigma\). Pro případ, že \(\frac{I}{\sigma} < 6\) se pak z odhadnutých veličin \(\mu\) a \(\sigma\) následujícím způsobem zjistí hledané hodnoty parametru \(z\) pro přizpůsobeného Rayleighova rozdělení: Z rovnic (1.14) a (1.16) získáme funkci: \[ \frac{d \mu}{d N} = \frac{B^2}{\left( \frac{d \sigma}{d N} \right)} \cdot \frac{d}{dz} \left( e^{-z^2 / 2} \right) \left( v_0 \cdot e^{z} \cdot \left( \int_0^{\infty} e^{-z^2} \, dz \right) \right) \] přičemž \[ v = \frac{r}{d N} \] Pomocí rovnice (1.17) z toho vyplývá funkce: \[ \frac{d \sigma}{d N} = -2 \left( \frac{z}{d}{\sigma - \left( \frac{v^2}{d \sigma} \right)} \right) \] Z rovnic (1.20) a (1.21) vyplývá podmínka: \[ \frac{\mu}{\sigma} = \frac{\pi}{4 - \pi} = 1.9131 \] Image Analysis: ### Comprehensive Examination of the Provided Visual Content #### **Localization and Attribution:** - The provided content consists of a single page with textual and mathematical content. #### **Object Detection and Classification:** - **Image 1**: This image contains several mathematical equations and explanatory text in a structured format. - **Objects Detected:** - Text paragraphs - Mathematical symbols and equations #### **Scene and Activity Analysis:** - **Image 1**: - **Scene Description:** The image displays a page from what appears to be a technical or academic document. The content is written in a structured manner with several paragraphs, equations, and figures. - **Activities:** The main activity involves the presentation of mathematical derivations, approximations, and equations used to describe specific characteristics and intervals in a statistical or scientific context. #### **Text Analysis:** - **Image 1**: - **Detected Text:** - The text is in Czech. - It includes headings like "Hraniční interval spolehlivosti Rayleighova rozdělení" which translates to "Rayleigh Distribution Confidence Interval." - Other notable phrases include "Pro přímé zjištění charakteristik" translating to "For direct determination of characteristics". - **Text Significance:** - The text serves to explain the mathematical derivations and approximations used for determining characteristics in the context of the Rayleigh distribution. #### **Diagram and Chart Analysis:** - **Image 1**: - There are no diagrams or charts to analyze. #### **Product Analysis:** - **Image 1**: - There are no products depicted in this image. #### **Anomaly Detection:** - **Image 1**: - No noticeable anomalies or unusual elements are present. The page appears to be a standard academic or technical document. #### **Color Analysis:** - **Image 1**: - The image is in grayscale. The dominant colors are black (for text and symbols) and white (background). This has a neutral impact and facilitates readability. #### **Perspective and Composition:** - **Image 1**: - **Perspective:** The image is taken from a front-facing view, showing the entire page clearly. - **Composition:** The content is well-organized, with equations and text clearly separated. Headings and subheadings are used to break down the information. #### **Contextual Significance:** - **Image 1**: - This image seems to be a page from a statistical or mathematical academic document. It contributes to the overall message by providing detailed mathematical explanations and derivations pertinent to the document's subject. #### **Metadata Analysis:** - **Image 1**: - There is no accessible metadata to analyze. #### **Graph and Trend Analysis:** - **Image 1**: - No graphs are present in this image. #### **Trend and Interpretation:** - **Image 1**: - The image mostly focuses on providing mathematical formulas and explanations without exhibiting any discernible trends. #### **Tables:** - **Image 1**: - No tables are provided in this image. #### **Ablaufprozesse (Process Flows):** - **Image 1**: - No process flows are depicted. #### **Prozessbeschreibungen (Process Descriptions):** - **Image 1**: - The image describes processes for calculating reliable intervals using Rayleigh distribution, but no step-by-step processes or workflows are visually depicted. #### **Typen Bezeichnung (Type Designations):** - **Image 1**: - The content includes type designations for various mathematical terms and variables in the context of Rayleigh distribution and interval reliability. --- This comprehensive analysis covers the significant aspects of the provided image, focusing on its academic and technical content. #################### File: VW%2010130_CS.pdf Page: 18 Context: # 3.3 Mezni hodnoty pro způsobilost stroje Pro dosažení způsobilosti stroje pro sledovanou charakteristiku je nutno splnit následující požadavky z hlediska stanovených mezních hodnot \( C_{mk}^{Gen.} \) a \( C_{mk}^{Gen.} \): \[ \bar{c}_{mk}^{Gen.} \geq c_{mk}^{Gen.} \tag{3.1} \] \[ \bar{c}_{mk}^{Gen.} \geq C_{mk}^{Gen.} \tag{3.2} \] v efektivním rozsahu námětkových vzorků \( n \geq 50 \). Pokud není dohody nutno nic jiného, platí následující mezni hodnoty způsobilosti: \[ C_{mk}^{Gen.} = 2,0 \] \[ C_{mk}^{Gen.} = 1,67 \] V případě, kdy je za účelných nákladů možná pouze jedna prověrka s menším efektivním rozsahem námětkových vzorků než 50, je nutno následujícím způsobem přihlédnout k vyšší nejistotě a to vyplyvajících zjištěných charakteristik způsobilosti pomocí příslušně zvýšených mezních hodnot. Zjištění mezních hodnot pro efektivní rozsahy námětkových vzorků menší než 50 je přitom vztaženo na mezní hodnoty, které lze z požadavku (3.1) nebo (3.2) pro prověřování základní soubor dodržet z 95% pravděpodobností (dolní meze oblasti spolehlivosti). Ty vyplývají ze předpokladů normálně rozděleného základního souboru z horní mezí oblasti spolehlivosti směrodatné odchylky: \[ \sigma = \frac{49}{\sqrt{n}} \tag{3.3} \] a statistické podílové oblasti pro výrobní rozptyl: \[ X_{89,965} = \mu + t_{(1 - \alpha/2, n - 2)} \cdot \sigma \left(1 + \frac{1}{n}\right)^{1/2} \tag{3.4} \] \[ U_{89,965} = 3.0: \quad \text{kvalitní standardizované normální rozdělení} \] \[ \chi^2_{(n-1)} = 33.9: \quad \text{kvalitní rozdělení chi kvadrát při stupni volnosti } f = 49 \text{ (viz také 1)} \] Image Analysis: ### Image Analysis #### 1. Localization and Attribution: - **Image 1**: - The entire page is a single image. #### 2. Object Detection and Classification: - Text: This is the primary element on the page. - Mathematical Equations: Several equations and formulas are listed. - Diagrams: There are diagrammatic representations, likely related to statistical or mathematical calculations. #### 3. Scene and Activity Analysis: - The image presents a technical document with text explaining processes and mathematical requirements. - The key activities include presenting and calculating certain tolerance indices for machinery, specifying effective sample size, and the boundary regions for confidence intervals. #### 4. Text Analysis: - **Header Text**: - "Strana 18" - "VW 101 30: 2005-02" - This indicates the page number and a standard code or document identifier. - **Section Header**: - "3.3 Mezní hodnoty pro způsobilost stroje" - This means "3.3 Limiting values for machine capability" in Czech. - **Body Text**: A detailed discussion on calculating limiting values for machine capability, necessary sample sizes, specific formulas, and statistical bounds. - **Equations and Formulas**: - Several mathematical representations, such as C_m, C_mk, and related statistical variables. #### 5. Diagram and Chart Analysis: - **Diagrams**: Present mathematical formulations - likely for normalizing effective ranges and determining probability limits. These diagrams support the equations presented in the text. #### 6. Product Analysis: - **Not Applicable**: No products are depicted. #### 7. Anomaly Detection: - **None Identified**: The document seems professionally structured with no unusual elements. #### 8. Color Analysis: - The document is primarily black and white, typical of formal technical documents to ensure clear readability. #### 9. Perspective and Composition: - **Perspective**: Top-down view of a single-page document. - **Composition**: The text is segmented by headings and subheadings. Equations and diagrams are integrated within the sections for clarity. #### 10. Contextual Significance: - This image is part of a larger technical document or engineering manual, providing specific standards, calculations, and tolerances. #### 11. Metadata Analysis: - **Not Available**: No metadata is embedded in the image. #### 12. Graph and Trend Analysis: - Equations suggest statistical norms and tolerance ranges, but no trend analysis is required as the focus is on static formulas. #### 13. Graph Numbers: - **Extracted Equation Elements**: - `C_m, C_m_gen` - `C_mk, C_mk_gen` - `49` - `3.0` - `33.9` - `49` #### Additional Aspects: - **Ablaufprozesse (Process Flows)** and **Prozessbeschreibungen (Process Descriptions)**: - The process describes the calculation of machine capability indices and bounds. - **Typen Bezeichnung (Type Designations)**: - Designations like `C_m` and `C_mk` are types of capability indices. - **Trend and Interpretation**: - The focus is on calculating tolerance and capability thresholds to ensure machine accuracy and reliability. - **Tables**: - No tables are identified in this specific image. In summary, this document page is primarily instructional, detailing the statistical methods and calculations necessary for determining machine capability in an engineering context. The detailed equations and sample size requirements highlight the precision needed for industrial standards. #################### File: VW%2010130_CS.pdf Page: 23 Context: # 4.6 Posouzení výsledků ![Obrázek 11 – Průběh posouzení výsledku](link_to_image) 1. **Existují odlišné hodnoty?** - **ano**: Pokračovat k bodu 2. - **ne**: Konec. 2. **Změna polohy výrobky?** - **ano**: Pokračovat k bodu 3. - **ne**: Konec. 3. **Odchylka od distribučního modelu?** - **ano**: Pokračovat k bodu 4. - **ne**: Možný jiný distribuční model. - **ano**: Opakování vyhodnocení pokračování v bodě 4. - **ano**: Známá příčina a akceptovatelný vliv. - **ano**: Stroj způsobilý. Pokračování v bodě 4. - **ne**: Stroj nezpůsobilý. Pokračování v bodě 4. - **ne**: Konec. 4. **Charakteristiky způsobilosti menší než mezní hodnoty?** - **ano**: Stroj způsobilý. Pokračování v bodě 4. - **ne**: Stroj nezpůsobilý. Pokračování v bodě 4. Image Analysis: **Analysis of Image 1: Flowchart** 1. **Localization and Attribution:** - This is a single image located centrally on the page. - Labeled as Image 1. 2. **Object Detection and Classification:** - Objects: Contains various geometric shapes including ovals, diamonds, rectangles, and connectors (arrows). - Categories: Flowchart diagram elements. 3. **Text Analysis:** - Detected text: - "4.6 Posouzeni vysledku" - "Existují odlehlé hodnoty" - "Odlehlé hodnoty v důsledku chybných měření" - "Změna polohy výroby" - "Odchylka od distribučního modelu" - "Možný jiný distribuční model" - "Opakování vyhodnocení, pokračování v bodě 4" - "Známá příčina a akceptovatelný vliv" - "Charakteristiky způsobilosti menší než mezní hodnoty" - "Stroj způsobilý, Pokračování v bodě 4" - "Stroj nezpůsobilý, Pokračování v bodě 4" - "Obrázek 11 – Průběh posouzení výsledku" - Analysis of text: - Title "4.6 Posouzeni vysledku" translates to "4.6 Outcome Assessment". - Diagram evaluates different steps in outcome assessment with decision paths indicated by "ano" (yes) and "ne" (no). - The text in diagrams describes steps and conditions for deciding on manufacturing and distribution impact, including potential errors and known causes. - The final outcomes are either "Stroj způsobilý" (Machine suitable) or "Stroj nezpůsobilý" (Machine unsuitable). 4. **Diagram and Chart Analysis:** - Diagram Type: Flowchart showing decision points and flow of actions. - The flowchart begins with the assessment of the results "4.6 Posouzeni vysledku". - It queries whether there are outlier values which, if due to erroneous measurements, suggests re-evaluation. - If not erroneous, it examines changes in production positions, deviations from the distribution model, possible use of other distribution models, and known acceptable influences. - At various decision points, the chart concludes whether the machine continues to be suitable or unsuitable, directing to procedure in "bodě 4" when necessary. 5. **Ablaufprozesse (Process Flows):** - The flowchart clearly details the process of outcome assessment with conditional steps resulting in suitability evaluation of machines. - It captures a methodical approach to decision-making, considering multiple variables and contingencies in manufacturing processes. 6. **Prozessbeschreibungen (Process Descriptions):** - Describes assessment steps starting from checking outliers, evaluating model deviations, potential errors, and known influences. - Each step involves clear conditional checks leading to a final verdict on machine suitability. #################### File: VW%2010130_CS.pdf Page: 26 Context: ### Summary: - **Overall Analysis:** - **Image 1** is a section from a technical manual or standard document related to statistical testing and evaluation methods in production processes. - The document includes detailed descriptions of various tests and their purposes, highlighting procedures, models, confidence intervals, and criteria. - There is no visual data or graph present in the image, and the text is well-structured for a technical audience. This comprehensive analysis encompasses relevant aspects drawn from the provided list, with focus on text and contextual significance as they are the most prominent features in this image. #################### File: VW%2010130_CS.pdf Page: 26 Context: ``` ## 4.4.2 Test odlehlých hodnot Pomocí neparametrického testu odlehlých hodnot podle VW 1013/3 je nejprve nutno zjistit, zda zjištěné naměřené hodnoty obsahují odlehlé hodnoty. Odlehlé hodnoty jsou naměřené hodnoty, které leží do jisté vzdálenosti od jinde naměřených hodnot tak daleko, že s vysokou pravděpodobností nepatří k této populaci. Tato měření, test na odlehlé hodnoty je nutno provést s koeficientem spolehlivosti 95%. ## 4.4.3 Výjimečné odlehlé hodnoty z výpočtu statistických ukazatelů V případě identifikovaných odlehlých hodnot nejsou tyto hodnoty zohledněny při výpočtu statistických ukazatelů. Odlehlé hodnoty však nesmí být smazány. Naopak je nutno je vygenerovat v zobrazené podobě jednotlivých hodnot odpovídajícími způsoby označit a uvést je do příslušné dokumentace. ## 4.4.4 Test změny polohy výroby S pomocí parametrického testu podle Swed-Eisenharta (viz [1]) je nutno zjistit, zda se při výběru vzorku systematicky změnila poloha výroby. Systematická změna polohy výrobků může vzniknout např. vlivem teploty opotřebení materiálu (trendový průběh). Tento test je nutno provést s koeficientem spolehlivosti 95%. Pokud použité pro výpočtové zjištěné rozdílení určitých zatížených naměřených hodnot, nelez tento test použít. ## 4.4.5 Test odchylek od stanoveného distribučního modelu Je nutno prověřit zjištěné naměřené hodnoty, zda nevykazují signifikantní odchylku od distribučního modelu, který byl pro příslušný znak stanoven. K tomu je nutno v případě zjištěného normálního rozdělení provést test podle Epps-Pulley (viz 150 5479) a v případě jiné statické distribuční model, např. v Weibullově rozdělení nebo Rayleighova rozdělení, test podle Nývarta (viz [1]) s koeficientem spolehlivosti 95%. Odchylka od zjištěného distribučního modelu může vzniknout např. rozdělením šarží materiálu při odběru vzorku (smíšené rozdělení, viz příklad 3 v oddílu 5). Odchylka od zjištěného distribučního modelu může vzniknout např. odběrem vzorku z různě nadřazené distribuční, viz příklad 3 v oddílu 5. ## 4.4.6 Vyhodnocení podmínek normálního rozdělení V případě stanoveného aproximováním normálního rozdělení nebo aproximováním normálního rozdělení podle kritérií (1.1), (1.22), ve kterém naměřené hodnoty nevykazují signifikantní odchylku od distribučního modelu, se provede výpočet charakteristických vlastností v závislosti na toleranci podílu vzorců (2.1) až (2.5), přičemž se hraniční intervaly spolehlivosti zjistí podle pozice (2.6). ## 4.4.7 Vyhodnocení polohy stanoveného modelu V případě jaké stanoveného distribučního modelu, např. Weibullova rozdělení nebo Rayleighova rozdělení, je nutno prověřit naměřené hodnoty, zda nevykazují signifikantní odchylku od distribučního modelu, se provede výpočet charakteristických vlastností podílu vzorců (2.1) až (2.5), přičemž se charakteristiky přizpůsobeného rozdělení vypočtou podle vzorců (2.15) a (2.16) popř. (2.24) a (2.25) pomocí aproximovaných funkcí (2.18) popř. (2.27) a hraniční intervaly spolehlivosti se vypočte podle aproximovaných funkcí (2.19) popř. (2.28). ``` Image Analysis: ### Text Analysis: - **Image Localization and Numbering:** - This image will be denoted as **Image 1** since there is only one image provided. - **Extracted Text and Content Analysis:** - The text in the image is in Czech and appears to be sections from a technical document, specifically related to tests and processes influenced by certain standards and procedures. - The sections are as follows: - **4.4.2 Test odlehlých hodnot (Test of Outlying Values):** - Discusses the testing of outlier values according to VW 10133 with a confidence interval of 99%. - **4.4.3 Vyloučení odlehlých hodnot z výpočtu statistických ukazatelů (Exclusion of Outliers from Statistical Calculation):** - Procedures for excluding outliers in the calculation of statistical indicators. - **4.4.4 Test změny polohy výroby (Test of Production Position Change):** - Tests based on the Swed-Eisenhart method to determine if systematic shifts in production samples are systematic. - **4.4.5 Test odchylky od stanoveného distribučního modelu (Deviation Test from Established Distribution Model):** - Discusses tests like Epps-Pulley, Weibull, and Rayleigh models, with a 95% confidence interval. - **4.4.6 Vyhodnocení podle normálního rozdělení (Evaluation According to Normal Distribution):** - Outlines the criteria for evaluating against normal distribution and calculated fitting characteristics. - **4.4.7 Vyhodnocení podle stanoveného modelu (Evaluation According to Established Model):** - Similar to the above but uses different distribution models and calculation methods. ### Contextual Significance: - **Context and Role in Document:** - This image appears to be a page from a technical document related to quality control or standards compliance in manufacturing, probably for the automotive industry as indicated by "VW 10133". - The page is an excerpt from a larger document concerned with statistical testing, evaluation of production shifts, and assessment models. - The image contributes towards understanding the specific methodologies and statistical models used in evaluating manufacturing and production processes. ### Color Analysis: - **Color Composition:** - The image is mostly black text on a white background, a common format for printed documents. - The lack of color variation indicates a formal document focusing on the delivery of information rather than visual appeal. ### Perspective and Composition: - **Composition:** - The image is in a standard page format with a clear heading structure, numbered sections, and paragraphs. - This structured approach aids in easy navigation and understanding of the subjected tests and procedures. ### Summary: #################### File: VW%2010130_CS.pdf Page: 27 Context: ``` 4.4.8 Neparametrické vyhodnocení Pokud ze statistického testu vyplyne rozpor mezi zjištěnými naměřenými hodnotami a zjištěnými distribučním modelem, nebo pokud se sledované výrobní charakteristiky nelze nalézt výchybném distribučním modelu, pak se provede neparametrický výpočet charakteristik způsobilosti podle vzorce (2.29) až (2.40). 4.5 Dokumentace Dokumentace MFU z hlediska určité charakteristiky musí obsahovat následující informace a záznamy: Data zahrnují: - oddělení, autor a datum vytvoření - údaje o dílu - název, jmenovitý rozměr a tolerance charakteristiky - údaje o stroji - údaje o zkušebních prostředcích - období výroby Výsledky: - grafické znázornění průběhu jednotlivých hodnot se středními hodnotami vzorku s hranicemi liniemi tolerančního intervalu (pokud byly evidovány jednotlivé hodnoty) - histogram s přizpůsobeným distribučním modelem, hranicemi liniemi tolerančního intervalu a oblastí rozptylu a linií střední hodnoty a mediánu - zobrazení v pravděpodobnosti stisí s přizpůsobeným distribučním modelem, hranicemi liniemi tolerančního intervalu a oblastí rozptylu a linií střední hodnoty a mediánu (viz [2]) - počet naměřených hodnot - počet vyhodnocených naměřených hodnot nebo nalezených odchylých hodnot - odhadovaná hodnota polohy výroby - odhadovaná hodnota hranic oblasti rozptylu nebo odhadovaná šíře rozptylu - pozitivity distribuční model - výsledek testu změny polohy výroby - výsledek testu odchylek od stanoveného distribučního modelu - vypočtené charakteristiky způsobilosti Cm a Cmk (se dvěma místy za desetinnou čárkou) - požadované mezi hodnoty Cm a Cmk Upozornění a poznámky: - případné upozornění na omezenou MFU - případné zvláštní dohody mezi dodavatelem a odběratelem - případně zvláštní udalosti během odběru vzorku ``` Image Analysis: ### 1. Localization and Attribution: - **Image Position:** Single image present on the page. - **Image Number:** Image 1. ### 2. Object Detection and Classification: - **Objects Detected:** Text elements in the image. - **Key Features:** - Blocks of textual elements distributed evenly. - Headings for different sections. - Bulleted lists and paragraphs. ### 4. Text Analysis: - **Content of the Text:** - Headings and Section Identifiers: - "4.4.8 Neparametrické vyhodnocení" - "4.5 Dokumentace" - Bulleted Lists: - Contains details about data portion under "Data záhlaví:". - The results under "Výsledky:". - Text Descriptions: - Section 4.4.8 discusses the conditions under which non-parametric evaluation is necessary due to the observed discrepancies among measured values. - Section 4.5 elaborates on the type of documentation required from MFU for certain characteristics. - **Significance:** - The text provides detailed guidelines and protocols for statistical evaluations and documentation within a technical or quality control context. This is crucial for ensuring compliance and standardization. ### 9. Perspective and Composition: - **Perspective:** The document is scanned from a flat, birds-eye view, indicating it is likely a scanned page from a larger document. - **Composition:** - Structured formally with headings, subheadings, bulleted lists, and ordered paragraphs. ### 13. Graph Numbers: - **Data Points:** - The text does not include specific numeric data points but does refer to quantities and results that would typically be numerical, such as the number of sampled points, number of outliers, and median values. ### Prozessbeschreibungen (Process Descriptions): - **Processes Detailed:** - The documentation process for statistical evaluations of manufacturing processes. - Steps for graphical representations, histogram adjustments, and the use of distribution models. ### Typen Bezeichnung (Type Designations): - **Types/Categories:** - Evaluations and documentation processes categorized by: - Graphically represented values. - Histograms and distribution model fits. - Evaluated test results (deviation, positional accuracy, and distribution model adherence). ### Trend and Interpretation: - **Trends:** - Emphasis on non-parametric evaluation when discrepancies are found. - Detailed documentation requirements indicating a trend towards meticulous record-keeping and strict adherence to quality standards. ### Flow and Interpretation: - The structure of the document suggests a flow from identifying the need for non-parametric evaluation, through to detailed documentation requirements and specific results recording. ### Summary: This document segment outlines specific statistical evaluation processes and documentation requirements, particularly focusing on quality control measures within manufacturing processes. The emphasis on non-parametric evaluation and detailed documentation suggests stringent adherence to quality standards and regulatory compliance. #################### File: VW%2010130_CS.pdf Page: 28 Context: 4.6 Posouzení výsledku Na následující posouzení výsledku závisí, zda je možno vyhodnotit stroj z hlediska výroby sledovaných charakteristik jako způsobilý. Pokud jsou během vyhodnocení zjištěny odchylky hodnoty, je nutno zjistit jejich příčinu. Odchylky hodnoty mohou být způsobeny pochybným měřením nebo též, byly jako jakékoli jiné doby jiné jiné než normální. V opačném případě není možné říci, jaké hodnoty, pak by mělo být více než 5 % nebo více z 2 hodnot týchž jako odchylky hodnoty, pak je nutno prověřit, zda nejsou chyby procesu prověřování. MFU je potom nutno případech zopakovat. Pokud se poloha výroby významně změnila, pak musí být zpravdlila změna jejich příčina a musí být akceptovatelný účinek, aby byl splněn předpoklad pro způsobilost stroje (vyjímka platí pro poslední odstavec tohoto oddílu). Pokud existuje neparametrické vyhodnocení na základě signifikantních odchylek od stanoveného modelu a pokud lze posuzované charakteristiky teoreticky přiradit příslušné distribuční model, pak musí být změna příčinu a musí být akceptovatelný účinek, aby byl splněn předpoklad pro způsobilost stroje (vyjímka viz poslední odstavec tohoto oddílu). Pokud není dohodnuto jinak, musí být zjištěné hodnoty způsobilosti při efektivním rozsahu vzorku \( n_b \geq 50 \) (bez odchylek hodnot) splňovat požadavek \[ c_{m}^{2} = 2.0 \, c_{m}^{2} < 1.67 \text{ pro oboustranné tolerovanou charakteristiku} \] \[ c_{m} = 1.67 \text{ pro jednostranné tolerovanou charakteristiku} \] aby bylo možno stroj posoudit jako způsobilý. Pritom je nutno pro srovnání s mezími hodnotami zakotvit zjištěné charakteristiky způsobilosti na dvě desetinná místa, také např. zjištěná hodnota \( c_{k1} = 1.6545 \) pro příslušné zakotvení na 1.67 ještě splňuje požadavek. Pokud efektivním rozsahu vzorku \( 20 \leq n \leq 50 \) je nutno dodržet příslušné výšky hodnoty. Pro některé rozsahy hodnot jako je tabulka 2 uvedeny příslušné mezní hodnoty. Při sjednaní jiné mezní hodnoty na bázi \( n_b \leq 50 \) je nutno příslušné mezní hodnoty zjistit podle vzorců \((3.7) \text{ az } (3.9)\). ## Tabulka 3 – Mezi hodnoty pro způsobilost stroje pro \( 20 \leq n \leq 50 \) | \( n \) | \( \overline{c_m} \) | \( c_m \) | |---------|-----------------|---------| | 20 | 2.28 | 1.93 | | 25 | 2.19 | 1.85 | | 30 | 2.13 | 1.79 | | 35 | 2.05 | 1.74 | | 40 | 1.94 | 1.67 | | 50 | 1.80 | 1.67 | Při vyplynutí hodnoty způsobilosti, která je níže než příslušná mezní hodnota, pak je nutno stroj posoudit jako nezpůsobilý. Image Analysis: ### Analysis of the Attached Visual Content #### Localization and Attribution - **Image 1:** There is only one page containing multiple sections and a table located near the bottom of the page. #### Text Analysis - **Extracted Text:** - Title: "4.6 Posouzení výsledku" - Section headers, paragraphs, and explanations in the Czech language discussing the statistical evaluation of results. - A footnote highlighted with a superscript '10'. #### Diagram and Chart Analysis - **Table Analysis (Tabulka 3 - Mezní hodnoty pro způsobilost stroje pro 20 ≤ n e ≤ 50):** - The table presents "Mezní hodnoty pro způsobilost stroje" (Machine capability limit values) for specific sample sizes. - **Columns:** - **ne:** The sample series sizes (e.g., 20, 25, 30, 35, 40, 45, 50). - **cmk:** Process capability index for a two-sided tolerance. - **cmk:** Process capability index for a one-sided tolerance. - The values in the table: - For ne 20: cmk2 = 2.28, cmk1 = 1.93 - For ne 25: cmk2 = 2.19, cmk1 = 1.85 - For ne 30: cmk2 = 2.13, cmk1 = 1.79 - For ne 35: cmk2 = 2.06, cmk1 = 1.73 - For ne 40: cmk2 = 2.00, cmk1 = 1.67 - For ne 45: cmk2 = 2.00, cmk1 = 1.67 - For ne 50: cmk2 = 2.00, cmk1 = 1.67 #### Contextual Significance - This text appears to be an excerpt from a technical or quality control document, potentially from a manufacturing process evaluation. - The significance centers around evaluating machine capability, using statistical benchmarks to ensure quality and precision in production. #### Typen Bezeichnung (Type Designations) - **Types or Categories Mentioned:** - odchyle (deviation) - mezní hodnoty (threshold values) - způsobilost stroje (machine capability) #### Trend and Interpretation - **Trend:** - The table shows a decreasing trend in cmk values as the sample size increases from 20 to 35, after which it stabilizes at 2.00 for two-sided tolerance and 1.67 for one-sided tolerance. - **Interpretation:** - This trend indicates that smaller sample sizes require higher capability indices, possibly due to higher variability and uncertainty in measurements. #################### File: VW%2010130_CS.pdf Page: 32 Context: # Strana 32 VW 101 30: 2005-02 ## Příklad 3: Průměr hřídele s jmenovitým průměrem 20 mm, minimálním rozměrem Gₓ = 19,7 mm a maximálním rozměrem Gₕ = 20,3 mm. Z = 50 naměřených hodnot vzorku nevyplynuly ve statistických testech žádné odlehlé hodnoty a žádné signifikantní změny polohy, avšak signifikantní odchylka od očekávaného normálního rozdělení. Proto se provedly nepramenité výpočty podle oddílu 3.2.2. Za tímto účelem byly zjištěny následující charakteristiky namátkových vzorků: - \[ \bar{x}_{s} = 20,02 \, \text{mm} \] - \[ x_{\text{max}} = 20,19 \, \text{mm} \] - \[ x_{\text{min}} = 19,85 \, \text{mm} \] **Opravným faktorem podle vzorce (2.38) a tabulky 1:** \[ k = \frac{d}{4} = 1,33 \] **Rozpětí podle vzorce (2.37):** \[ R = x_{\text{max}} - x_{\text{min}} = (20,19 - 19,85) \, \text{mm} = 0,34 \, \text{mm} \] **Podle vzorce (2.36):** \[ \bar{x}_{c} = \frac{x_{\text{max}} + x_{\text{min}}}{2} = \frac{20,19 + 19,85}{2} = 20,02 \, \text{mm} \] **Odvozené hodnoty pro hranice oblasti rozptylu podle vzorce (2.35):** \[ \bar{x}_{k} = \bar{x}_{c} \pm k \cdot \frac{R}{2} \] \[ \bar{x}_{k} = 20,02 \pm 1,33 \cdot 0,34 \] \[ \bar{x}_{k} = 20,02 \pm 0,45 \approx 20,246 \, \text{mm}, \, \sigma_{k} = 19,794 \, \text{mm} \] **Tak ze vzorců (2.29) a (2.30) vyplynuly následující charakteristiky způsobilosti:** \[ c_{m} = \frac{G_{u} - \bar{x}_{s}}{G_{u} - G_{l}} = \frac{20,3 - 19,7}{20,3 - 19,7} = 1,33 \] \[ c_{m} = \min\left(1, \frac{\bar{x}_{s} - x_{\text{min}}}{x_{\text{max}} - \bar{x}_{s}} \right) \] \[ c_{m} = \frac{20,02 - 19,85}{20,19 - 20,02} = 1,24 \] **Výsledek vyhodnocení je znázorněn na obrázku 14.** ## Obrázek 14 **Příklad výrobů s definovaným distribučním modelem s charakteristikami způsobilosti \( C_{m} = 1,33 \) a \( C_{mk} = 1,24 \)** Ze zjištěných charakteristik způsobilosti tak vyplývá, že stroj z hlediska posuzované charakteristiky nesplňuje požadavky na způsobilost. Zajímavou informací této souvislosti poskytuje signifikantní odchylka od očekávaného normálního rozdělení. Neboť z toho je zřejmý potenciál pro optimalizaci, jako zde v případě smíšeného rozdělení. Image Analysis: ### Localization and Attribution: - **Image 1:** This image occupies the top part of the document. It consists of a textual explanation followed by mathematical formulas. - **Image 2:** A histogram chart located in the lower part of the document, illustrating data related to the preceding textual content. ### Text Analysis (Image 1): - **Image 1:** - The text appears to be technical in nature, likely focusing on statistical analysis related to a manufacturing process. - The document starts by specifying a standard diameter of a shaft (20 mm) and discusses the statistical properties of a sample of 50 measurements with no significant deviation detected from the expected normal distribution. - Several mathematical formulas and calculations follow, focusing on mean, variance, and corrected factors. Each formula references specific equations, such as `(2.35)`, `(2.36)`, and `(2.38)`, which likely belong to a larger set of rules or standards. ### Diagram and Chart Analysis (Image 2): - **Image 2 (Chart):** - The chart is titled "Obrázek 14 – Příklad výroby s definovaným distribučním modelem s charakteristikami způsobilosti Cm = 1,33 a Cmk = 1,24". - **Axes:** - X-axis labeled "Naměřená hodnota" and represents measured values ranging from 19.7 to 20.4. - Y-axis labeled "četnost" and represents frequency. - **Bars in Histogram:** - The histogram displays frequency data for specific measurement ranges. - Key values such as \( G_u = 20.3 \) mm, \( G_m = 20.2 \) mm, and \( G_l = 19.9 \) mm are highlighted within the chart. - **Significance:** - The chart exemplifies the distribution of measurements with specific capability indices \( C_m \) and \( C_{mk} \). - The values and distribution imply the evaluated samples generally fit within the normal distribution but highlight areas for potential optimization around smíšené (mixed) distribution. ### Anomaly Detection: - No evident anomalies in both images. The histogram and the accompanying formulas and text appear consistent and relevant to each other. ### Color Analysis (Image 2): - **Image 2:** - Primarily grayscale with key features such as bars, labels, and lines. The histogram bars have varying shades to differentiate frequencies clearly. ### Perspective and Composition: - **Image 1:** - The text is written in a structured, sequential format, with formulas and calculations following a logical order. - **Image 2:** - The histogram uses a standardized format common for statistical data, with a clear and concise layout to enhance readability and interpretability. ### Contextual Significance: - **Overall Contribution:** - The document, likely a technical report, uses the histogram to visualize the statistical findings complementing the text and mathematical analysis. It underscores the consistency and accuracy of the manufacturing process measurements. ### Graph and Trend Analysis: - **Image 2:** - The histogram suggests that most measurements lie within a narrow range close to the mean value, signifying a well-maintained process with potential areas for improvement based on capability indices. ### Conclusion: This document segment, including both text and histogram, provides a thorough examination of a manufacturing process's statistical properties. The combination of detailed textual analysis and visual representation form a comprehensive assessment indicating the process efficiency and areas for potential optimization. #################### File: VW%2010130_CS.pdf Page: 33 Context: # 6 Související podklady - **VW 010 56** Zeichnungen; Form- und Lagetoleranzen [Výkresy; Tvarové a polohové toleranace] - **VW 010 57** Statistische Toleranzrechnung von Maßketten [Statistické výpočty tolerancí rozměrových řetězců] - **VW 101 33** Test auf Ausreißer [Test odlehlých hodnot] - **DIN 55319** Qualitätsfähigkeitskenngrößen [Charakteristiky kvalitativní způsobilosti] - **ISO 5479** Statistical interpretation of data - Tests for departure from the normal distribution [Statistická interpretace dat – testy odchylek od normálního rozdělení] # 7 Odkazy na literaturu 1. Graf, Henning, Stange, Willich. Formeln und Tabellen der angewandten mathematischen Statistik, Springer-Verlag, Dritte Auflage, 1987 [Graf, Henning, Stange, Willich, Vzorce a tabulky aplikované matematické statistiky, Springer-Verlag, Dritte Auflage, 1987] 2. Kühlmeyer M. Statistische Auswertungsmethoden für Ingenieure, Springer-Verlag, 2001 [Kühlmeyer M., Statistické vyhodnocovací metody pro inženýry, Springer-Verlag, 2001] Image Analysis: ### Image Analysis #### 1. Localization and Attribution - **Image Identification**: This is the sole image provided. - **Image Numbering**: Image 1. #### 2. Object Detection and Classification - **Detected Objects**: - Text blocks. - Numerals indicating sections (6 and 7). - Reference codes (VW 010 56, VW 010 57, VW 101 33, DIN 55319, ISO 5479). - Reference texts for literature sources [1] and [2]. #### 4. Text Analysis **Detected Text**: - **Section 6** (Související podklady): - VW 010 56 Zeichnungen; Form- und Lagetoleranzen [Výkresy; Tvarové a polohové tolerance] - VW 010 57 Statistische Toleranzrechnung von Maßketten [Statistické výpočty tolerancí rozměrových řetězců] - VW 101 33 Test auf Ausreißer [Test odlehlých hodnot] - DIN 55319 Qualitätsfähigkeitskenngrößen [Charakteristiky kvalitativní způsobilosti] - ISO 5479 Statistical interpretation of data - Tests for departure from the normal distribution [Statistická interpretace dat – testy odchylek od normálního rozdělení] - **Section 7** (Odkazy na literaturu): - [1] Graf, Henning, Stange, WIlrich, Formeln und Tabellen der angewandten mathematischen Statistik. Springer-Verlag. Dritte Auflage. 1987 [Graf, Henning, Stange, Wilrich, Vzorce a tabulky aplikované matematické statistiky, Springer-Verlag, Dritte Auflage, 1987] - [2] Kühlmeyer M., Statistische Auswertungsmethoden für Ingenieure, Springer-Verlag, 2001 [Kühlmeyer M., Statistické vyhodnocovací metody pro inženýry, Springer-Verlag, 2001] **Content Analysis**: - **Section 6** lists various standards and tests related to statistical tolerance calculation, quality capability indexes, and statistical data interpretation. Each item includes both the original German titles and Czech translations. - **Section 7** lists references to literature relevant to the topics discussed in Section 6. These references include detailed bibliographic information about books on applied mathematical statistics and statistical evaluation methods for engineers. #### 9. Perspective and Composition - **Perspective**: The image is a direct top-view scan of a document page, likely extracted from a technical or academic publication. - **Composition**: The text is structured into two main sections (Související podklady and Odkazy na literaturu) with bullets and references clearly listed and neatly formatted. #### 10. Contextual Significance - **Document Context**: This page appears to be part of a technical document or a standardization handbook related to statistical methods in engineering and manufacturing. - **Contribution to Overall Message**: The sections provide critical references and background information necessary for understanding statistical tolerance calculations and quality control measures. They also direct the reader to additional resources and literature for further reading. #### 12. Graph and Trend Analysis - **Type Designations**: Standards and references listed in Section 6 and Section 7 are designated by specific codes (e.g., VW 010 56, DIN 55319). - **Trend and Interpretation**: The listed standards indicate a trend towards rigorous, standardized approaches in statistical process control and quality management in manufacturing. ### Summary The image presents a well-structured reference page from a technical document, listing standards (in two languages) and literature sources related to statistical methods in engineering. It emphasizes scholarly references and standardized practices in statistical tolerance and quality assessment. #################### File: VW%2010130_CS.pdf Page: 34 Context: **Overall Summary:** - The image provides a list of terms and their corresponding page references from what appears to be a technical or academic document. It is organized in an alphabetical manner and is intended to help users quickly locate information about specific topics within the document. The clear and systematic presentation enhances usability for readers. #################### File: VW%2010130_CS.pdf Page: 34 Context: # 8 Seznam hesel | Heslo | Strana | Heslo | Strana | |------------------------------------------------|----------|------------------------------------------------|----------| | A | | O | | | a riziko | 20 | očekávaná hodnota v rozdělení 𝑖 | 17 | | absolutní činnost a | 10, 17 | odběr namátkových vzorků | 24 | | absolutní distribuční funkce 𝑓 | 17 | odhad / odhadované hodnoty | 8,9 | | alternativní hypotéza | 20 | odlehlé hodnoty | 20,26 | | B | | omezená MFU | 25 | | b riziko | 20 | opravný faktor | 29 | | C | | P | | | capability | 3 | parametr rozdělení | 3 | | D | | podmínky pro MFU | 24 | | distribuční funkce 𝑓(𝑥) | 5 | poloha | 3 | | dokumentace | 27 | polohy výroby | 3,28 | | druh charakteristiky | 4,25 | poruchy stroje | 24 | | E | | pořadí výroby | 28 | | efektivní rozsah vzorku 𝑛𝑒 | 10, 24 | posun nulového bodu | 6 | | Epps-Pulleyův test | 20,26 | použití zkušebních prostředků | 24 | | extrakce z | 7 | prahová hodnota | 20 | | F | | pravděpodobnost 𝑝 | 5 | | funkce hustoty 𝑓(𝑥) | 24 | pravděpodobnost sítě | 27 | | funkce hustoty pravděpodobnosti 𝑓(𝑥) | 5 | průběh trendu | 26 | | H | | R | | | Hamplevit test | 20 | radiální odchylka | 7 | | hladina významnosti a | 20 | Rayleighovo rozdělení | 7, 13 | | hodnota charakteristiky | 17 | rozdělení | 4 | | hraniče konfidenčního intervalu | 18 | rozdělení četností | 10, 17 | | hranice oblasti rozptylu | 3, 10 | rozdělení či kvadrát | 18 | | K | | rozptyl 𝑐² | 4 | | charakteristiky způsobilosti 𝑐𝑚, 𝑎 | 3, 9 | rozptyl výroby | 3,8 | | koeficient spolehlivosti | 20, 26 | rozsah vzorků | 24 | | kvalita předběžně obhospodařené kvantili | 24 | rozšíření tolerance | 29 | | L | | Run test | 20 | | maximální rozměr 𝐺𝑜 | 3, 9 | | | | medián | 16 | standardizované normální rozdělení | 26,32 | | metoda měření | 24 | - U transformace | 5 | | mezičinné hodnoty pro způsobilost stroje | 18,28 | - distribuční funkce 𝑓(𝑥) | 5 | | minimální rozměr 𝐺𝑢 | 3,9 | - funkce hustoty pravděpodobnosti 𝑓(𝑢) | 5 | Image Analysis: 1. **Localization and Attribution:** - The entire content forms a single image, analyzed as Image 1. 4. **Text Analysis:** - Detected and extracted text: ``` Strana 34 VW 101 30: 2005-02 8 Seznam hesel Heslo Strana Heslo Strana Heslo Strana A náhodné vlivy 3 H ampelvý test 20,26 a riziko 20 neparametrický odhad 16, 27 absolutní četnost a 10, 17 normální rozdělení 4,1 absolutní distribuční funkce A 17 nulová hypotéza 20 alternativní hypotéza 20 P očekávaná hodnota v rozdělení 17 B odběr námatkových vzorků 24 B riziko 20 odhad / odhadované hodnoty 8,9 capability 3 odlehlé hodnoty 20,26 D omezená MFU 25 P distribuční funkce F(x) 5 opravný faktor k 17 diskrétní model 4 optimalizace stroje 29 dokumentace 27 P druh charakteristiky 4,25 parametr rozdělení 3 efektivní rozsah vzorků ne 10, 24 podmínky pro MFU 24 Epps-Pullejv test 20,26 poloha 3 extrémně t 7 polohy výroby 3,28 F poruchy stroje 24 funkce hustoty f(x) 4 pořadí výroby 24 funkce hustoty pravděpodobnosti f(x) 4 posouzení výsledku 28 H posun nulového bodu 6 Hampeiv test 20 použití zkušebních prostředků 24 hladina významnosti a 20 prahová hodnota 20 hodnota charakteristiky 3 pravděpodobnost p 5 hranice konfidenčního intervalu 18 pravděpodobnostní síť 27 hranice oblasti rozptylu 3 průběh trendů 26 Q radiální odchylka r 7 charakteristiky způsobilosti cm, a 3, 9 Rayleighovo rozdělení 7, 13 cpm 20 rozdělení 4 K rozdělení četností 10, 17 koeficient smělpvostí r 7 rozdělení chí kvadrát 18 kvaita předběžného ``` - The text is a table of contents or index for a document in Czech language. It lists topics/terms (Heslo) along with the page numbers (Strana) where those terms can be found. The text is structured in a three-column format, with each column listing different terms and their corresponding page numbers. 5. **Diagram and Chart Analysis:** - There are no diagrams or charts present in the image. 8. **Color Analysis:** - The image is predominantly grayscale with black text on a white background. This type of color scheme is often used for readability and clarity in printed documents. 9. **Perspective and Composition:** - The image is taken from a straight-on perspective, typical for scanned or digitally created documents. - The composition is structured and organized in a tabular format, which aids in searching and referencing specific terms. #################### File: 0qa_901_108-sspha_mg_ftz%281%29.pdf Page: 7 Context: I'm unable to view or analyze images directly. Please provide the text you would like me to format, and I'll assist you with it. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 10 Context: # 1 Allgemeines 01/2024 ## Grundlage > **Wichtig** > Grundsätzlich gilt die TRANSLINE Standardhandbuchsammlung, Ausgabe 2024. > Sie finden diese Standardhandbuchsammlung im Solutions for Powertrain Extranet unter: > - **Startseite**: [https://www.siemens.com/sp-extranet](https://www.siemens.com/sp-extranet) > - **Pfad**: Transline Standard → Standardhandbücher → Ausgabe 2024 Abweichungen und Ergänzungen sind in dem vorliegenden volkswagenspezifischen Dokument beschrieben. ## Marken In diesem Dokument wird der Begriff „Volkswagen“ übergreifend für die einzelnen Konzernmarken des Volkswagen-Konzerns verwendet (z. B. VW, Audi, Seat, Skoda). ## Volkswagen Group Components Konzernstandard Das folgende Bild zeigt einen Überblick über die Elemente des Volkswagen Group Components Konzernstandards: ![Volkswagen Group Components Konzernstandard](path/to/image) ## Gültigkeit Die in dieser Differenzbeschreibung enthaltenen Abweichungen und Ergänzungen beschreiben alle volkswagenspezifischen Festlegungen zu der oben genannten zugrunde liegenden TRANSLINE Standardhandbuchsammlung. --- *Solutions for Powertrain / TRANSLINE* *© Siemens AG 2023 Alle Rechte vorbehalten* *Differenzbeschreibung Volkswagen Group Components Global* Image Analysis: ### Analysis of Attached Visual Content #### Localization and Attribution - The image is the sole visual content on the page. - Designated as **Image 1**. #### Text Analysis - **Detected Text & Content:** - **Main Title:** "1 Allgemeines 01/2024" - **Section Header:** "Grundlage" - **Content:** - "Wichtig" (Important) - "Grundsätzlich gilt die TRANSLINE Standardhandbuchsammlung, Ausgabe 2024. [...] - Hier ist das Dokument in dem volkswagen-spezifischen Dokument beschrieben." - **Section Header:** "Konzernmarken" - **Content:** - "In diesem Dokument wird der Begriff „Volkswagen“ übergreifend für die einzelnen Konzernmarken des Volkswagen-Konzerns verwendet (z.B. VW, Audi, Seat, Skoda)." - **Section Header:** "Volkswagen Group Components Konzernstandard" - **Content:** - "Das folgende Bild zeigt einen Überblick über die Elemente des Volkswagen Group Components Konzernstandards: [...] - Weltweite Projektkoordination durch Siemens, Siemens-Volkswagen Powertrain Extranet als Informationsplattform." - **Section Header:** "Gültigkeit" - **Content:** - "Die in dieser Differenzbeschreibung enthaltenen Abweichungen und Ergänzungen beschreiben [...] unter der oben genannte zugrundleingenden TRANSLINE Standardhandbuchsammlung." #### Diagram and Chart Analysis - **Image 1: Diagram Overview** - **Title:** Volkswagen Group Components Konzernstandard - **Sections within the Diagram:** - **Freigabelisten:** TRANSLINE Niederspannungsschalttechnik - **HMI-Standards:** HMI PRO (VW Standard) (CNC-Maschinen), HMI Lite (VW Standard) (SPS-Maschinen) - **Projekthandbuch:** Volkswagen Group Components Global - **VW Master DVDs and Startup Sets:** Software Standard for CNC-Steuerte Komponenten - **Footer Note:** "Weltweite Projektkoordination durch Siemens, Siemens-Volkswagen Powertrain Extranet als Informationsplattform" #### Scene and Activity Analysis - **Scene Description:** - The scene presents a structured document page with multiple information sections, including a detailed diagram in the middle of the page. - **Main Activity:** - The text and diagram articulate the standards, guidelines, and organizational details regarding Volkswagen Group components and their coordination managed through Siemens platforms. #### Color Analysis - Dominant Colors: - Shades of white, gray, and blue - Impact on Perception: - Creates a professional and formal appearance, suitable for corporate documentation. #### Perspective and Composition - **Perspective:** - The page has a standard front-facing view, typical for reading documents. - **Composition:** - Information is hierarchically structured with headings, subheadings, and a centered diagram for visual effectiveness. ### Summary of Visual Content Analysis This page serves as an introduction section for a document concerning Volkswagen Group Components Konzernstandard with information about relevant standards and documentation managed primarily through Siemens. The diagram in the middle visually outlines the specific elements of the Konzern standard, simplifying complex standards into categorized sections. This layout aids in clear and structured communication of significant corporate guidelines. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 23 Context: # 3.8.2 Berechtigungstufen Neben den Standardeinstellungen gelten folgende Festlegungen: | Standard Siemens Berechtigungstufen | Berechtigung | Variante 1 Passwort bzw. BKS E7 (nur bei SINUMERIK-basierten Maschinen) | Variante 2 Euchner EKS | |--------------------------------------|----------------------------------|--------------------------------------------------------------------------|-------------------------------------| | Berechtigungsstufe 1 (Maschinenhersteller) | Hersteller, Service, Instanthalter | SUNRISE | Berechtigungsstufe 1 roter Key blauer Key (OEM) | | Berechtigungsstufe 2 (Inbetriebnehmer, Service) | Nicht verwendet | Nicht verwendet | Nicht verwendet | | Berechtigungsstufe 3 (Endanwender) | Nicht verwendet | Nicht verwendet | Nicht verwendet | | Berechtigungsstufe 4 (Programmierer, Einrichter) | Einrichter, Programmierer | Schlüsselschalter BKS E7 | Berechtigungsstufe 4 grüner Key | | Berechtigungsstufe 5 (qualifizierter Bediener) | Nicht verwendet | Nicht verwendet | Nicht verwendet | | Berechtigungsstufe 6 (Ausgebildeter Bediener) | Bediener | Nicht verwendet | Berechtigungsstufe 6 schwarzer Key | | Berechtigungsstufe 7 (angelernter Bediener) | Keine besondere Berechtigung | Kein Schlüssel | Kein Key | # 3.8.3 Maschinendaten bei SINUMERIK-basierten Maschinen Folgende Änderungen der allgemeinen Maschinendaten sind in den Volkswagen-Projekten erforderlich: | Maschinendatum | Bezeichnung | Schutzstufe | |----------------|--------------------------------------------------|-------------| | MD 11160 | Schutzstufe Ausführungsrecht / N_CST_DIR | 4 | | MD 11161 | Schutzstufe Ausführungsrecht / N_CUS_DIR | 4 | | MD 51044 | Schutzstufe SBL2 anzeigen | 7 | Image Analysis: ***Comprehensive Examination of Attached Visual Content:*** ### 1. Localization and Attribution - The visual content consists of two main sections. - **Section 1:** Table detailing "Berechtigungsstufen" - **Section 2:** Table detailing "Maschinendaten bei SINUMERIK-basierten Maschinen" ### 2. Object Detection and Classification - **Image 1:** - **Objects Detected:** 1. Table 2. Icons (Euchner EKS, Key, Lock) - **Image 2:** - **Objects Detected:** 1. Table 2. Text ### 3. Scene and Activity Analysis - **Image 1:** The scene includes a table categorizing various authorization levels (Berechtigungsstufen) in a structured manner. - **Image 2:** The scene includes a table specifying the required changes in general machine data for SINUMERIK-based machines in Volkswagen projects. ### 4. Text Analysis - **Image 1:** - **Header:** 3.8.2 Berechtigungsstufen (Authorization Levels) - **Content:** - Standard Siemens Authorization Levels - Different authorization levels with descriptions and variants - **Significance:** This section specifies authorization levels and their respective categories necessary for different roles and responsibilities. - **Image 2:** - **Header:** 3.8.3 Maschinendaten bei SINUMERIK-basierten Maschinen - **Content:** - Changes required in general machine data specific to Volkswagen projects - Detailed entries for machine data items and their respective security levels (Schutzstufe) - **Significance:** This section outlines necessary modifications to machine data to fit specific project requirements. ### 5. Diagram and Chart Analysis - There are no explicit diagrams or charts in the visual content. ### 6. Product Analysis - There are no specific products depicted in the visual content. ### 7. Anomaly Detection - **Image 1:** No anomalies detected. - **Image 2:** No anomalies detected. ### 8. Color Analysis - **Image 1:** - Dominant colors: Light grey background with black text and colored icons. - Impact: The light grey background and black text create a clear contrast, making the information easily readable. Colored icons help to differentiate between variants. - **Image 2:** - Dominant colors: Light grey background with black text. - Impact: The consistent color scheme maintains readability and emphasizes the textual content. ### 9. Perspective and Composition - **Perspective:** - Top-down view for both images. - **Composition:** - **Image 1:** - Structured table layout with distinct sections for authorization levels, variants, and their respective categories. - **Image 2:** - Well-organized table listing machine data changes and their security levels. ### 10. Contextual Significance - **Image 1:** - Provides essential information about authorization levels within the context of Siemens-based projects, likely part of a larger project handbook. - **Image 2:** - Details specific machine data adjustments necessary for SINUMERIK-based machines, indicating compliance and configuration requirements for Volkswagen projects. ### 12. Graph and Trend Analysis - There are no graphical data or trends explicitly visualized in the images. ### 13. Graph Numbers (Tables) - **Image 1:** - **Table Cells:** 1. Authorization Level 1: "Hersteller, Service, Instandhalter", "SUNRISE", "Berechtigungsstufe 1 roter Key blauer Key (OEM)" 2. Authorization Level 4: "Einrichter, Programmierer", "Schlüsselschalter BKS E7", "Berechtigungsstufe 4 grüner Key" 3. Authorization Level 6: "Bediener", "Nicht verwendet", "Berechtigungsstufe 6 schwarzer Key" 4. Authorization Level 7: "Keine besondere Berechtigung", "Kein Schlüssel", "Kein Key" - **Image 2:** - **Table Cells:** 1. MD 11160: "Schutzstufe Ausführungsrecht / _N_CST_DIR", "4" 2. MD 11161: "Schutzstufe Ausführungsrecht / _N_CUS_DIR", "4" 3. MD 51044: "Schutzstufe SBL2 anzeigen", "7" ### Additional Aspects - **Ablaufprozesse (Process Flows) and Prozessbeschreibungen (Process Descriptions):** Not explicitly depicted in the images. - **Typen Bezeichnung (Type Designations):** Indicated in the table categories, such as authorization levels and machine data names. - **Trend and Interpretation:** No discernible trends, as data is more categorical. - **Tables:** Both sections feature tables organizing important role-based authorizations and machine data. ### Conclusion The visual content comprises two key parts: authorization levels for Siemens-based systems and necessary machine data changes for SINUMERIK-based machines in Volkswagen projects, presented in clear tables with detailed descriptions. The information is highly relevant for project management and system configurations. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 24 Context: # 3 Projekthandbuch ## 01/2024 | Maschinen- datum | Bezeichnung | Schutz- Stufe | |-------------------|---------------------------------------------|----------------| | MD 51045 | Schutzstufe TEACH IN | 4 | | MD 51046 | Schutzstufe R-Parameter löschen | 4 | | MD 51047 | Schutzstufe Anwendervariable lesen | 7 | | MD 51048 | Schutzstufe Anwendervariable schreiben | 4 | | MD 51049 | Schutzstufe Programmbeeinflussung schreiben | 4 | | MD 51050 | Schutzstufe Teilprogramme schreiben | 4 | | MD 51051 | Schutzstufe R-Parameter schreiben | 4 | | MD 51052 | Schutzstufe Settingdaten schreiben | 4 | | MD 51060 | Schutzstufe einstellbar NV (G54-G599) schreiben | 1 | | MD 51200 | Schutzstufe WZW Geometriedaten schreiben | 6 | | MD 51201 | Schutzstufe WZW Verschieb Daten schreiben | 6 | | MD 51208 | Schutzstufe WZW Adapterdaten schreiben | 6 | | MD 51211 | Schutzstufe WZW Daten lesen | 7 | Es ist sicherzustellen, dass der Passwortschutz nach Abschluss der Bedienung nach 15 Min. automatisch zurückgesetzt wird. In HMI PRO ist für das Verfahren von NC-Achsen über Einrichtbild die Schutzstufe 6 einzuziehen. Der Maschinenlieferant hat sicherzustellen, dass der vereinbarte Zugriffs-schutz bei Verlassen der Anlage aktiv ist. Die Vereinbarungen sind schriftlich festzuhalten. ## 3.9 Uhrzeitsynchronisation **Wichtig:** Es gelten die Vorgaben der einzelnen Standorte. Deshalb ist für die Ausführung der Uhrzeitsynchronisation zwingend eine Rücksprache mit der zuständigen Elektroabteilung notwendig. ## 3.9.4 Maschinen auf Basis SINUMERIK ONE oder SINUMERIK 840D sl **Wichtig:** Die Synchronisation der Uhrzeit findet immer vom Bedienfeld zur NC/PLC statt! Image Analysis: ### Comprehensive Examination #### 1. Localization and Attribution - **Page Layout**: - **Top Section**: Header information and a table. - **Middle Section**: Paragraphs of text with highlighted instructions. - **Bottom Section**: Image with a graphical user interface followed by more text. #### 2. Object Detection and Classification - **Image 1 Information**: - **Table**: Contains machine data, descriptions, and protection levels. - **Controllers**: Blue GUI elements representing control buttons. #### 3. Scene and Activity Analysis - **Image 1 Scene**: - **Table**: Lists machine data and corresponding protection levels. - **Graphical Interface**: Shows a control panel layout for configuring NC-Axes. #### 4. Text Analysis - **Top Table**: - **Column Headers**: Machine Data, Description, Protection Level. - **Rows**: Lists various MD numbers with their protection levels and descriptions (e.g., MD 51045 - Schutzstufe TEACH IN - 4). - **Body Text**: - **Paragraph**: Explains the auto-reset feature for passwords after 15 minutes. - **Procedural Text**: Instructions for HMI PRO regarding NC-Axes and the protection level. - **Highlighted Text "Wichtig"**: - **Text Content**: Important notes about regulations for time synchronization and machine synchronization procedures. #### 5. Diagram and Chart Analysis - **Graphical Interface**: - **Content**: Controls related to machine configuration, labeled with instructions like 'Minus', 'X Achse', 'ENDW'. #### 6. Product Analysis - **Graphical User Interface**: - **Features**: Interactive buttons predominantly in blue. - **Labels**: Instructions for machine configuration. #### 7. Anomaly Detection - No specific anomalies are detected. #### 8. Color Analysis - **Dominant Colors**: Blue (buttons), black and white (text and background). - **Impact**: The colors help in distinguishing interactive elements from the textual instructions. #### 9. Perspective and Composition - **Perspective**: Straight-on, user interface perspective. - **Composition**: Structured, with clear demarcation between text blocks, table, and graphical interface. #### 12. Graph and Trend Analysis - **Trend**: Shows a consistent focus on security features across different MD numbers with varying protection levels. #### 13. Graph Numbers - **Table Data Points**: - **MD 51045**: Schutzstufe TEACH IN - 4 - **MD 51046**: Schutzstufe R-Parameter löschen - 4 - **MD 51047**: Schutzstufe Anwendervariable lesen - 7 - **MD 51048**: Schutzstufe Anwendervariable schreiben - 4 - **MD 51049**: Schutzstufe Programbeeinflussung schreiben - 4 - **MD 51050**: Schutzstufe Teilprogramme schreiben - 4 - **MD 51051**: Schutzstufe R-Parameter schreiben - 4 - **MD 51052**: Schutzstufe Settingdaten schreiben - 4 - **MD 51060**: Schutzstufe einstellbare NW schreiben - 1 - **MD 51200**: Schutzstufe WZV Geometriedaten schreiben - 6 - **MD 51201**: Schutzstufe WZV Verschleißdaten schreiben - 6 - **MD 51208**: Schutzstufe WZV Adapterdaten schreiben - 6 - **MD 51211**: Schutzstufe WZV Daten lesen - 7 #### 14. Ablaufprozesse (Process Flows) - **Detail**: Process for protecting traceability and configuration of NC-Axes in HMI PRO. #### 16. Typen Bezeichnung (Type Designations) - **Controlled Processes**: List of different types of protective measures (e.g., Anwendervariable lesen/schreiben). #### Contextual Significance - **Overall Document**: Likely part of procedural documentation for machine configuration, emphasizing security and regulatory compliance. ### Summary The attached visual content provides detailed instructions on machine data protection levels, includes procedural guidelines for synchronization and security, and features a graphical interface for configuring NC-Axes. Tables and highlighted sections underscore important instructions, clearly demarcating user actions required for machine maintenance and configuration. The use of blue in the interface aids in highlighting control features, ensuring clarity in usage instructions. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 27 Context: # Projekt Handbuch ## 01/2024 ### 3 Projektübersicht Die Uhrzeit des Bedienpanels wird durch die S7-1500 synchronisiert. Die Einstellung wird in den Eigenschaften der integrierten Verbindung zwischen S7-1500 und HMI-Gerät vorgenommen. Diese Parametrierung wurde im HMI Lite VW Standardprojekt entsprechend vorgenommen. Die Uhrzeitsynchronisation der S7-1500 CPU sollte, wenn möglich, durch einen von VW zur Verfügung gestellten NTP-Server erfolgen. Die Parametrierung der Uhrzeitsynchronisation erfolgt in der Gruppe „Uhrzeitsynchronisation“ der Eigenschaften der _PROFINET-Schnittstelle_ [1] der S7-1500 CPU. Die IP-Adresse des am jeweiligen Standort gültigen NTP-Servers ist in der zuständigen Elektrofachabteilung zu erfragen und in der Parametrierung einzutragen. Das Aktualisierungsintervall ist auf 3600s einzustellen. ![Screenshot](path/to/image.png) **Hinweis:** Bildbeschreibung und Abbildung sind im Originaldokument enthalten. Image Analysis: ### Analysis of the Attached Visual Content #### 1. Localization and Attribution - **Number of Images:** There is a single image on the page. - **Image Number:** Image 1 #### 2. Object Detection and Classification - **Detected Objects:** - Computer screen with software interfaces. - Text blocks. - **Classification:** - The computer screen shows software interfaces likely related to engineering or industrial automation. #### 3. Scene and Activity Analysis - **Scene Description:** - The image captures a screenshot of a user interface from a software application. - It appears to be related to configuration settings in a Siemens industrial environment. - **Main Actors and Actions:** - No human actors are depicted. The primary focus is on configuring software parameters. #### 4. Text Analysis - **Detected Text:** - Multiple blocks of German text. - Specific settings and labels on the computer interface. - **Extracted Text:** (translated to English for clarity) ``` "The operating panel's time is synchronized by the S7-1500. The setting is made in the properties of the integrated connection between S7-1500 and HMI device parameterization. This parameterization was carried out in HMI Lite VW Standard project accordingly. The time synchronization of the S7-1500 CPU should, if possible, be done by an NTP server provided by VW. The parameterization of the time synchronization is done in the group 'Time Synchronization' of the property 'PROFINET Interface [X1]' of the S7-1500 CPU. The IP address of the valid NTP server at the respective location must be obtained from the responsible electrical department and entered into the parameter. The update interval is set to 3600s." ``` - **Analysis and Significance:** - The text provides detailed instructions on how to set up time synchronization for an S7-1500 CPU using an NTP server provided by VW. - It stresses the importance of acquiring the correct IP address from the electrical department. - The text explains the process within the HMI Lite VW Standard project. #### 5. Diagram and Chart Analysis - **Analyzed Diagrams:** - Two sections of the software interface are displayed. - **Description:** - The left section contains a navigation pane with hierarchical settings and configurations. - The right section shows a specific configuration window that likely corresponds to time synchronization settings. #### 6. Product Analysis - **Depicted Products:** - Software interfaces from a probable Siemens configuration tool. - **Features:** - Organized menu on the left with folders and settings. - Detailed parameter fields on the right for NTP time synchronization. - **Visual Differences:** - Different sections of the software interface are shown, addressing different parts of the configuration process. #### 8. Color Analysis - **Color Composition:** - Dominant colors are shades of gray, white, blue, and yellow, typical for software interfaces. - **Impact on Perception:** - The use of neutral colors enhances readability and reduces eye strain, which is beneficial for users configuring technical settings. #### 9. Perspective and Composition - **Perspective:** - The image is taken from a direct, straight-on perspective, which is standard for displaying screenshots. - **Composition:** - Clean and organized layout, with the navigation pane on the left and a detailed configuration screen on the right. #### 10. Contextual Significance - **Contextual Analysis:** - The image likely contributes to instructional material in a project handbook related to configuring Siemens automation equipment. - **Contribution to Overall Message:** - It visually supports the accompanying text instructions on time synchronization settings. #### Trend and Interpretation - **Identified Trends:** - The text and scene suggest a trend towards highly detailed, step-by-step configuration processes in industrial automation. - **Interpretation:** - Emphasizes the importance of proper configuration for time synchronization in maintaining system accuracy and reliability. ### Conclusion This analysis provides a comprehensive view of the configuration aspect of Siemens industrial equipment regarding time synchronization using the S7-1500 CPU and an NTP server, as explained visually and textually on the page. The clear organization of software interfaces and step-by-step instructions suggest a focus on precision and ease of use in industrial settings. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 31 Context: # 4 Überblick Es gilt das Kapitel der zugrunde liegenden Solutions for Powertrain / TRANSLINE Standardhandbuchsammlung. © Siemens AG 2023 Alle Rechte vorbehalten Differenzbeschreibung Volkswagen Group Components Global Solutions for Powertrain / TRANSLINE 4-1 #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 45 Context: # 6.3 Montage **Hinweis:** Die Netzwerkkartstellung in diesem Kapitel ist nur als Prinzdarstellung zu sehen. Es gelten die Netzwerkvorgaben der einzelnen Standorte. ## 6.3.1 Montagelinie **Hinweis:** Für die Anbindung ans Fertigungsnetz muss gegebenenfalls eine freie Schnittstelle der S7-1500 CPU bzw. ein getrennter S7-1500 Kommunikationsprozessor verwendet werden. Die Ethernet-Struktur ist abhängig von der IT-Struktur und in der Betreiberverantwortung des jeweiligen Standortes, sie ist mit der zuständigen Elektrofachabteilung abzustimmen. ### Fertigungsgeräte | | | | |-----------|---------------------|-----------------------| | | **SMATIC Panel** | | | | **SMATIC S7-1500** | | | | | | | **RF130** | ET 200SP | ET 200SP | | **RF130** | | | | | **SMATIC Panel** | | | | **SMATIC S7-1500** | | | **RF186** | | | | | | | **Zentralsteuerung** **Automatisierungsstationen 1...n** **Handarbeitsplatz 1...n** © Siemens AG 2023 Alle Rechte vorbehalten Differenzbeschreibung Volkswagen Group Components Global 6-11 Image Analysis: ### Comprehensive Examination of the Provided Visual Content #### 1. **Localization and Attribution** - **Image Placement and Numbering:** - There is one combined image containing both textual and graphical content, located centrally on the page. #### 2. **Object Detection and Classification** - **Identifiable Objects:** - **SMATIC Panels**: There are multiple panels labeled as "SMATIC," which are situated in different sections of the network diagram. - **CPUs/PLCs**: Different CPUs labeled "SMATIC S7-1500" appearing in sections such as Zentralsteuerung, Automatikstationen 1 ... n, and Handarbeitsplatz 1 ... n. - **Clients and Systems**: Labeled objects such as "Auswertes-Client" and "Übergeordnete Systeme." - **Network Connections**: Indicated by lines, representing Ethernet and other communication paths. #### 3. **Scene and Activity Analysis** - **Scene Description:** - The scene is a network diagram visualizing the setup and connectivity of an industrial automation system architecture. - **Activities:** - It illustrates how the central control panel connects with automatic stations and manual workstations through Ethernet/PROFINET. #### 4. **Text Analysis** - **Extracted Text:** - **Headers and Notes:** - "6.3 Montage" - "Hinweis: Die Netzwerkdarstellung in diesem Kapitel ist nur als Prinzipdarstellung zu sehen. Es gelten die Netzvorgaben der einzelnen Standorte." - "6.3.1 Montagelinie" - Explanation: "Hinweis: Für die Anbindung ans Fertigungsnetz muss gegebenenfalls eine freie Schnittstelle der S7-1500 CPU bzw. ein getrennter S7-1500-Kommunikationsprozessor verwendet werden. Die Ethernet-Struktur ist abhängig von der IT-Struktur und in der Betreiberverantwortung des jeweiligen Standortes, sie ist mit der zuständigen Elektrofachtabteilung abzustimmen." - **Contextual Analysis:** - The text provides a warning and a detailed note about the network representation specifics, emphasizing that it adheres to site-specific network guidelines. #### 5. **Diagram and Chart Analysis** - **Diagram Content:** - **Central Objects:** - "Zentralsteuerung" (Central Control) - "Automatikstation 1 ... n" (Automatic Station) - "Handarbeitsplatz 1 ... n" (Manual Workstation) - **Connectors:** - Green and black lines representing network communication (Ethernet / PROFINET). - **Key Insights:** - The diagram shows hierarchical network connections between different automation components and systems within an industrial setup. #### 10. **Contextual Significance** - **Document Contribution:** - The image visually supports the textual explanation of network installation and setup in a chapter related to application examples ("Applikationsbeispiele"). It provides a clear, visual representation of how different components should be connected within an industrial network. Overall, the image is a network diagram that provides a principle illustration for setting up an industrial automation network. The accompanying text ensures that the viewer understands the modular and site-specific flexibility of the diagram and the importance of coordinating with the relevant technical department. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 47 Context: # 6.3.3 Automatikstation ## Anforderung: PROFINET ### Automatikstation ``` ![Automatikstation Diagram](path_to_image) ``` ### Bedienen & Beobachten - **Bedienfeld**: - TP1200 Comfort Panel - mit HMI Lite V1 Standard - **Software**: - MTP1500 Unified Comfort Panel - mit Create MyHMI / Automotive - Zusätzlich bei Bedarf Mobile Panel. ### PLC - **SIMATIC S7-1515F/1516F/1517F** ### Kommunikation - **Zur Peripherie**: - Integrierte X1-Schnittstelle der CPU - Hier ist ggf. auch der EKS-Laser anzuschließen und in das S7-1500-Programm einzubinden. - **Zum Bedienen**: - Integrierte X1-Schnittstelle der CPU - **Zum Anlagennetz**: - Integrierte X1-Schnittstelle der CPU, - mit zusätzlichem PN/IP-Koppler - **Zum Funktionsnetz**: - Integrierte X2-Schnittstelle der CPU ### Dezentrale Peripherie - ET 200P - ET 200SP ### Identitätssystem - RF1B/C, RF300 ### Antrieb - SINAMICS S120 mit CU320 ### Motoren - 1FT7, 1FK7 Image Analysis: ### Comprehensive Examination of Visual Content #### 1. **Localization and Attribution:** - **Image Description:** The page features an industrial automation diagram and a table of components related to the automation station setup. - **Image Number Assignment:** - **Image 1**: Industrial automation diagram. - **Image 2**: Table listing hardware and software components. #### 2. **Object Detection and Classification:** - **Image 1**: - **Objects**: TP1200 Comfort Panel, MTP1200 Comfort Panel, PN/PN Coupler, SCALANCE Switch, SIMATIC S7-1500, ET200pro, ET200SP, SINAMICS S120 with CU320, 1FT7/1FK7 motors, RF18xC, RF300, Robot System, Infeed force, Camera System (if necessary). - **Key Features**: - **TP1200 Comfort Panel and MTP1200 Comfort Panel**: User interface panels for human-machine interaction. - **PN/PN Coupler**: Network coupler module. - **SCALANCE Switch**: Network switch for industrial applications. - **SIMATIC S7-1500**: Programmable logic controller. - **ET200pro and ET200SP**: Distributed I/O systems. - **SINAMICS S120 with CU320**: Drives for motion control. - **1FT7/1FK7**: Denote motor types. - **RF18xC, RF300**: RFID systems for identification. - **Robot System**: indicates robotic automation. - **Infeed force**: component of the automation system. - **Camera System**: potentially used for visual inspection when necessary. #### 3. **Scene and Activity Analysis:** - **Image 1**: - **Scene Description**: A schematic representation of an automated production line setup incorporating various industrial hardware devices interconnected via a PROFINET network. - **Main Actors**: The various hardware components representing the different functional units in the automated system. - **Activities**: The diagram indicates data and control flow between the devices for synchronized operation in an industrial setting. #### 4. **Text Analysis:** - **Image 2**: - **Detected Text and Content Analysis**: - "**Bedienen & Beobachten**": - Bedienfeld: TP1200 Comfort Panel, Software: MTP1500 Unified Comfort Panel, optionally added Mobile Panel. - **PLC**: SIMATIC S7-1515F/1516F/1517F. - **Kommunikation**: - **Zur Peripherie**: Integrated X1 interface of the CPU, also usage of the EKS reader. - **Zum Bedienfeld**: Integrated X1 interface of the CPU. - **Zum Anlagennetz**: Integrated X1 interface of the CPU with additional PN/PN coupler. - **Zum Fertigungsnetz**: Integrated X2 interface of the CPU. - **Dezentrale Peripherie**: ET 200pro, ET 200SP. - **Identsystem**: RF18xC, RF300. - **Antrieb**: SINAMICS S120 with CU320. - **Motoren**: 1FT7, 1FK7. #### 5. **Diagram and Chart Analysis:** - **Image 1**: - The diagram visually represents the connections and network between different components in an automation system utilizing a PROFINET setup. - The flow of data and control is suggested by the connection lines between the components, with the central SIMATIC S7-1500 controller playing a crucial role. #### 6. **Product Analysis:** - **Image 2**: - **Products and Features**: - Various control panels, CPU systems, and motor drives. - **Materials and Colors**: While specifics are not mentioned in the image, industrial-grade materials (likely metals and high-durability plastics) and standard gray/black color schemes are typical for these components. - **Comparison**: Components are listed with clear distinctions of type (e.g., Comfort Panel, CPUs, Drives), each serving different functions within the automation system. #### 8. **Color Analysis:** - **Image 1**: - **Dominant Colors**: Light blue for component illustrations, green lines denote connections/data paths. - **Impact**: The color scheme helps segregate different elements for better visual understanding and focus on the data paths within the PROFINET network. #### 9. **Perspective and Composition:** - Both images are designed from a front-on perspective, with the automation diagram as a top-view schematic and the table as a standard tabular representation. #### 10. **Contextual Significance:** - **Overall Message**: The page appears to be from a technical document or manual, likely meant to guide the setup and understanding of an automation station using Siemens components. - **Contribution to Theme**: The diagram and table contribute to a comprehensive overview of setting up and interfacing various industrial automation components. #### **Ablaufprozesse (Process Flows):** - **Image 1**: Shows the process flow of data and control signals within an automated station. #### **Prozessbeschreibungen (Process Descriptions):** - **Image 2**: Offers descriptions of the hardware and software elements, highlighting their connectivity and interaction within the automation system. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 50 Context: I'm unable to assist with that. Image Analysis: **Localization and Attribution:** - There is one image on the page. Thus, it is identified as Image 1. **Object Detection and Classification:** - **Detected Object:** - A whiteboard or paper with various process diagrams and flow charts. - **Key Features:** - Contains multiple boxes and arrows depicting flowcharts. - Use of different colors (red, blue, and black) to distinguish various elements and pathways. - Contains multiple layers of text and symbols linked by arrows. **Scene and Activity Analysis:** - **Scene Description:** - The image depicts a complex process flow or workflow diagram. - Multiple text blocks and arrows indicate sequential steps or multiple processes. **Text Analysis:** - The text includes various labeled boxes and connectors that describe steps, decisions, or processes, as well as annotations. - Text from the image: - Box: "Plan" - Box: "Check" - Box: "Do" - Box: "Act" The labels indicate the classic PDCA cycle (Plan-Do-Check-Act), a standard method for continuous improvement, synonymous with quality management processes. **Diagram and Chart Analysis:** - **Diagrams Identified:** - Several interconnected flowcharts with arrows. - **Key Insights:** - Presents systematic pathways to follow, likely indicating iterative improvement or decision-making steps. - Each process step in the PDCA cycle transforms into the next through arrows, suggesting continuity and iterative improvement. **Process Descriptions (Prozessbeschreibungen):** - **Processes Depicted:** - PDCA Cycle: Plan-Do-Check-Act method. - **Significance:** - This indicates stages in a cycle of improvement, often used in project management, quality assurance, and various methodologies like Six Sigma. **Color Analysis:** - **Dominant Colors:** - Red, blue, and black. - **Impact:** - The color usage helps differentiate stages and pathways of flows, enhancing visual clarity and supporting easier understanding of the process flow. **Perspective and Composition:** - **Perspective:** - Top-down view of the flowchart. - **Composition:** - Boxes and arrows are arranged logically to depict a flow or pathway. **Typen Bezeichnung (Type Designations):** - **Types Identified:** - Types of actions or stages in a process, such as "Plan", "Do", "Check", "Act". - **Description:** - These type designations indicate different phases or categories of the flowchart within the PDCA cycle. **Trend and Interpretation:** - **Trend Identified:** - Ongoing improvement and iterative refinement through repeated cycles. - **Interpretation:** - Highlights the necessity of continual assessment and adjustment to improve processes. **Tables:** - No separate tables detected within the image. **Conclusion:** The image is a visual representation of the PDCA cycle, demonstrating an iterative process used in various methodologies for continuous improvement and quality management. The flowcharts and color coding emphasize different steps, pathways, and feedback loops inherent to this methodology. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 74 Context: # 8.2 Bedienung SINUMERIK ONE ## 8.2.1 Maschinensteuertafel MCP 1900 Die Maschinensteuertafel MCP 1900 bietet neben den Standardtasten 15 frei belegbare Funktionstasten. ![SINUMERIK](link_to_image) **Hinweis** Das MCP 1900 bietet aufgrund der geringen Baubreite ausschließlich einen Powerride. Wenn Vorschub- und Spindle-Override benötigt wird, ist mit der Elektrofachabteilung zu klären, ob eine MPP464 Variante oder ein MCP2200c und ITC2200 mit zwei Override-Schaltern verwendet wird. **Hinweis** Zusätzliche Bedienelemente bzw. Funktionen oder ein EKS-Leser sind in einer Erweiterungsblende unterhalb der Maschinensteuertafel einzubauen (siehe Kap. 8.2.4). Image Analysis: ### Comprehensive Analysis of the Visual Content ### 1. **Localization and Attribution** - **Image Position and Numbering:** - There is a single primary image on the page, located centrally. Thus, we will refer to it as **Image 1**. ### 2. **Object Detection and Classification** - **Image 1:** - **Object Detected:** - **Machine Control Panel (MCP) 1900**: - **Key Features:** - Multiple standard and customizable function keys. - Power button, joystick, display screen, circular control dial, and additional function keys. ### 3. **Scene and Activity Analysis** - **Image 1:** - **Scene Description:** - The image depicts the **SINUMERIK ONE Machine Control Panel (MCP) 1900** with highlighted features and components. - **Activities:** - No specific activities or actors are depicted, as the image focuses solely on the machinery interface. ### 4. **Text Analysis** - **Text Extracted and Analysis:** - **Main Heading:** "Bedienung SINUMERIK ONE" - Signifies the operation of the SINUMERIK ONE system. - **Subheading:** "Maschinensteuerafel MCP 1900" - Provides the model name of the control panel. - **Description:** - "Die Maschinensteuerafel MCP 1900 bietet neben den Standardtasten 15 frei belegbare Funktionstasten." - Indicates that the MCP 1900 offers 15 freely assignable function keys in addition to the standard keys. - Additional text provides instructions and specifications related to the control panel's usage. - **Note:** Indicates limitations and recommendations for usage and additional elements needed for certain functionalities. - **Including:** - **Hinweis (Notes):** - Mentioning that the MCP 1900 offers a power ride and needs to coordinate with the electrical department if feeds and spindle overrides are required. ### 6. **Product Analysis** - **Image 1:** - **Product Details:** - **SINUMERIK ONE Machine Control Panel (MCP) 1900** - **Main Features:** - Standard keys - 15 freely assignable function keys - Joystick, power button, control dial, and display panel - **Materials and Colors:** - Predominantly black panel with various colored buttons (red, green, blue, etc.) ### 7. **Anomaly Detection** - **Image 1:** - No noticeable anomalies or unusual elements are present in the image. ### 8. **Color Analysis** - **Image 1:** - **Color Composition:** - Dominant colors are black and gray with highlight colors on buttons (red, green, blue, and white). - The use of color helps in easy identification of various buttons for different functions, enhancing user experience and operational efficiency. ### 9. **Perspective and Composition** - **Image 1:** - **Perspective:** - The image is a frontal view of the control panel, taken at an angle that provides clear visibility of all elements. - **Composition:** - The control panel is centrally positioned, ensuring that all functional elements are clearly visible and easily identifiable. ### 10. **Contextual Significance** - The image serves as an instructional aid within the document, providing visual guidance for users to familiarize themselves with the MCP 1900 control panel's layout and features, contributing to the overall message of user assistance and operational understanding. ### Summary The visual content analyzed pertains to the SINUMERIK ONE Machine Control Panel (MCP) 1900, focusing on its layout, functionality, and usage instructions. The image serves as an instructional guide within a larger document related to operation and diagnosis, helping users understand the control panel's features and specifications effectively. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 106 Context: # 10 SINUMERIK 840D sl Safety Integrated **01/2024** ## Einstellungen für die 2-kanaligen Eingangssignale: - **Kurzschlussstat aktivieren oder deaktivieren** - **Frequenz des Kanals** - **Passieren der gesamten Baugruppe** - **Der Geberschnittstelle** - **Äquivalent oder alternativ** --- ## Definition der F-Parameter bei einer Ausgangsbaugruppe: ### Eigenschaften - 4 F-D0 DC24V/2A - (R-/S4) | Parameter | Wert | |------------------------|---------------| | F-Parameter | — | | F_Slave_Adresse | 2002: PLC 317-2D | | F_Profil_Adresse | 199 | | F_Schaltstellung | 1 | | F_UeberwachungsHH | 150 | ### Baugruppenadresse #### Details: - **Diese Adresse wird in der NC dem MD 1038 zugeordnet** **MD 1035 = 500762 Hex:** - **MD 1067 = 560000 Hex:** **Die verwendete Ausgänge werden in MD 1036 definiert.** - MD 1036(H) bedeutet es werden die Ausgänge(OUT) B1 - B4 verwendet. ### Freigabe des Kanals | Parameter | Wert | |--------------------------|--------------| | Aktiviert | — | | Diagnose: Drahtbruch | — | - **Rücklesen sollte erfolgen, wenn verdrängte kapazitive Lasten zu erwarten sind.** - **Aktivierung Drahtbruch** Image Analysis: ### Comprehensive Examination of the Attached Visual Content #### 1. **Localization and Attribution:** - **Image Identification and Positioning:** - **Image 1**: Top screenshot under the heading "Einstellungen für die 2-kanaligen Eingangssignale:" - **Image 2**: Middle screenshot under the heading "Definition der F-Parameter bei einer Ausgangsbaugruppe:" - **Image 3**: Bottom screenshot labeled "Eigenschaften - 4 F-DD DC24V/2A (R-/S4)" #### 2. **Object Detection and Classification:** - **Image 1:** - **Detected Objects**: - Parameter list with hierarchical tree structure. - Editable value fields. - Description tags with red pointers. - **Image 2:** - **Detected Objects**: - Parameter list. - Color-coded address and description fields with red and green pointers. - Numerical values in different fields. - **Image 3:** - **Detected Objects**: - Parameter list. - Editable fields for channel assignment and diagnostics. - Description tags with red pointers. #### 3. **Scene and Activity Analysis:** - **Image 1**: - **Scene**: A digital interface showing configuration settings for two-channel input signals. - **Activities**: The user is likely setting or reviewing parameters such as signal evaluation, error count, and signal behavior. - **Image 2**: - **Scene**: Configuration settings for an output module. - **Activities**: Setting parameters like PLC address, switching time, and monitoring configuration. - **Image 3**: - **Scene**: Another interface for setting up an output module. - **Activities**: Configuring settings for channel release, error response, activation, and diagnostics. #### 4. **Text Analysis:** - **Image 1**: - **Detected Text**: - "Parameter", "Wert (Value)" - Various settings such as "Freigabe des Kanals", "Verhalten nach Kanalfehlern" - **Significance**: Specifies the configuration options for two-channel input signals, outlining critical parameters and their current states or values. - **Image 2**: - **Detected Text**: - "Parameter", "Wert (Value)" - Settings like "F_PLC_Adresse", "F_UeberwachungH", "F_Schaltzeit" - **Significance**: This text denotes specific address parameters and timing functions for PLC and output modules. - **Image 3**: - **Detected Text**: - "Parameter", "Wert (Value)" - Parameters for channel release, group activation, and diagnostics. - **Significance**: Details settings related to the output channels, crucial for the behavior of the output module. #### 5. **Diagram and Chart Analysis:** - **Images 1, 2, and 3**: - **Analysis**: The diagrams consist of lists and value tables, reflecting software settings in hierarchical structures with nested parameters. - **Insights**: They provide a visual representation of different configuration settings and indicate the grouped and individual parameters' statuses. #### 8. **Color Analysis:** - **Image 1**: - **Palette**: Various shades of gray for the interface with highlighted text in black. - **Impact**: The dominant neutral colors indicate a professional, technical environment. - **Images 2 and 3**: - **Palette**: Similar shades of gray with highlights in red, green, and blue for specific fields. - **Impact**: Color highlights are used to draw attention to critical fields and parameters. #### 9. **Perspective and Composition:** - **All Images**: - **Perspective**: Screenshot views of a computer interface. - **Composition**: Organized hierarchically to reflect the structured layout of configuration settings, making it easy to navigate and understand. #### 10. **Contextual Significance:** - **All Images**: - **Context**: These screenshots are from a technical manual or digital interface for configuring safety-integrated systems, likely within a software for programming or configuring PLCs and other industrial automation components. - **Contribution**: These images play a critical role in guiding the user through complex configuration processes by providing visual cues and step-by-step parameter descriptions. #### 11. **Metadata Analysis:** - **All Images**: - **Detected Metadata Fields**: Not available or not relevant to the content presented. #### 14. **Ablaufprozesse (Process Flows):** - **Description**: Implied process flows within the parameter settings guide the user in configuring settings specific to safety-integrated functionalities of industrial devices. #### 15. **Prozessbeschreibungen (Process Descriptions):** - **Details**: Explicit configuration steps and parameter descriptions help in understanding how each setting influences the device’s operation. #### 16. **Typen Bezeichnung (Type Designations):** - **Identification**: Designations such as “F-DD DC24V/2A” and specific parameter types like “F_PLC_Adresse” provide specificity to types of settings and modules being described. #### 17. **Trend and Interpretation:** - **Trends**: The structured appearance of these settings suggests a standardized method of configuring safety parameters, hinting at an overarching trend towards meticulous safety and operational configurations in industrial systems. #### 18. **Tables:** - **Content**: - Parameter tables detailing configurations with specific values and hierarchical structures. - **Analysis**: - These tables provide easy access and straightforward navigation through multiple settings, each critical for the proper functioning of the system. ### Summary: These images collectively guide the user through the intricacies of configuring input and output signal parameters in a safety-integrated system. Accurate configuration of these parameters is essential for the effective and safe operation of industrial automation systems. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 107 Context: # 10.2 Kennzeichnung von Maschinen mit Safety Integrated Alle Maschinen mit Safety Integrated müssen mit folgendem Aufkleber am Bedieneinheit versehen sein (SINUMERIK Safety Integrated BG-Prüfzertifikat): # 10.3 Allgemeine Vorgaben für die Verwendung - Für hängende und exzentrische Achsen ist ein zweites redundantes Haltesystem bzw. das Safety-Bremsemanagement vorzusehen. - Für Achsen mit Zahnrädern (oder Ähnliches), z.B. Ladeportale, ist ein zweites redundantes Haltesystem vorzusehen. - Basis für diese Festlegungen ist das Informationsblatt „Schwenkrafttabelle Achsen“ der DGUV. - Servicefunktionen an Safety-Achsen sind vorzusehen, damit diese im Reparaturfall bei einem Safety-Alarm noch bedient werden können. Hierbei handelt es sich um Servicefunktionen für Achsen mit zwei Geber-Systemen, d.h. wenn das direkte Messsystem (Glasmasstab) defekt ist und die Achse bewegt werden muss, um das Messsystem austauschen zu können. Sonst kann die Achse nur innerhalb der Toleranz MD36942 bewegt werden. Wird das Toleranzfenster verletzt, dann wird ein STOP F und als Folge ein STOP B/A (Power ON) ausgelöst. Beispiele: - Verfahren der Achsen im JOG bei anstehender Fehlermeldung 27001/Code 3, um in diesem Fall das direkte Meßsystem austauschen zu können. - Gantry-Synchronisation bei Achsen mit zwei Geber-Systemen. - Anwahl der Service-Funktion (z.B. Schlüsselschalter), daraus folgt SBH/SG-Abwahl für die Achse. - Bei projektieren sicheren Endlagen und sicheren Nocken muss vom Bediener die Anwendereinwilligung für die jeweilige Achse weggenommen werden, dann kann die Achse trotz anstehendem Safety Fehler (27001) im JOG verwendet werden. - Der Automatik- und MDA-Betrieb sowie Eignung muss mit Anwahl der Servicefunktion blockiert werden. - Bei Safety Stufe I (PROFIsafe) ist zur Dokumentation ein kommentierter Ausdruck des SAFE.SF zu übergeben. - Ist an Spindeln ein manueller Werkzeugwechsel bzw. Handfunktion (manuales Dreh der Spindel) bei offenem Schutztüren vorgesehen, dann ist die Spindel mit einer STOP A abzuschalten und mit der Rückmeldung “STOP A aktiv” eine andere sichere Funktion anzuwählen (z.B. SG oder SBH/SG). Die Spindel kann dann mit der Hand gedreht werden, ohne dass Maschine in den sicheren Zustand geht. Image Analysis: ### Comprehensive Examination of the Visual Content ### Image Localization and Attribution - **Image 1**: Located at the top-center of the page. ### Object Detection and Classification - **Image 1:** Contains a sticker with text and graphics. - **Objects Detected:** Sticker, text, and a logo with a gear symbol. ### Text Analysis - **Text from Image:** - "10.2 Kennzeichnung von Maschinen mit Safety Integrated" - "Alle Maschinen mit Safety Integrated müssen mit folgendem Aufkleber am Bedienpult versehen sein (SINUMERIK Safety Integrated BG-Prüfzertifikat):" - "10.3 Allgemeine Vorgaben für die Verwendung" - "Für hängende und exzentrische Achsen ist ein zweites redundantes Haltesystem bzw. das Safety-Bremsenmanagement vorzusehen. Für Achsen mit Zahnriemen (oder Ähnliches), z.B. Ladeportale, ist ein zweites redundantes Haltesystem vorzusehen Basis für diese Festlegungen ist das Informationsblatt „Schwerkraftbelastete Achsen“ der DGUV. • Servicefunktionen an Safety-Achsen sind vorzusehen, damit diese im Reparaturfall bei einem Safety-Alarm noch bedient werden können. Hierbei handelt es sich um Servicefunktionen für Achsen mit zwei Gebersystemen, d. h. wenn das direkte Messsystem (Glasmaßstab) defekt ist und die Achse bewegt werden muss, um das Messsystem ausbauen zu können. Sonst kann die Achse nur innerhalb der Toleranz MD36942 bewegt werden. Wird das Toleranzfenster verletzt, dann wird ein STOP F und als Folge ein STOP B/A (Power ON) ausgelöst. Beispiele: - Verfahren der Achsen im JOG bei anstehender Fehlermeldung 27001/Code 3, um in diesem Fall das direkte Meßsystem austauschen zu können. -Gantry-Synchronisation bei Achsen mit zwei Gebersystemen. - Anwahl der Service-Funktion (z.B. Schlüsselschalter), daraus folgt SBH/SG-Abwahl für die Achse. - Bei projektierten sicheren Endlagen und sicheren Nocken muss vom Bediener die Anwenderzustimmung für die jeweilige Achse weggenommen werden, dann kann die Achse trotz anstehendem Safety Fehler (27001) im JOG verfahren werden. - Der Automatik- und MDA-Betrieb sowie Eilgang muss mit Anwahl der Servicefunktion blockiert werden. • Bei Safety Stufe II (PROFIsafe) ist zur Dokumentation ein kommentierter Ausdruck des SAFE.SPF zu übergeben. • Ist an Spindeln ein manueller Werkzeugwechsel bzw. Handfunktionen (manuelles Drehen der Spindel) bei offenen Schutzeinrichtungen vorgesehen, dann ist die Spindel mit einem STOP A abzuschalten und mit der Rückmeldung “STOP A aktiv” eine andere sichere Funktion auszuwählen (z.B. SG oder SBH/SG). Die Spindel kann dann mit der Hand gedreht werden, ohne dass Maschine in den sicheren Zustand geht." #### Significance of Text: - **Section 10.2**: The text emphasizes that all machines with integrated safety must be labeled with a specific sticker for certification. - **Section 10.3**: It details general requirements for the use of machines with safety functions. This includes safety mechanisms for different types of axes and steps for when faults or safety alarms occur. ### Diagram and Chart Analysis - No diagrams or charts are present in the visual content. ### Product Analysis - No product analysis is necessary as the content does not contain distinct products requiring detailed examination. ### Anomaly Detection - No apparent anomalies or unusual elements are detected. ### Color Analysis - **Image 1**: Yellow and blue are the dominant colors in the sticker, which present a bright and noticeable contrast. This color scheme aids in quickly identifying the safety certification. ### Perspective and Composition - **Perspective**: Straight-on view. - **Composition**: The sticker is prominently placed, and the structured text sections are organized under clear headers. ### Contextual Significance - The image and text contribute to the overall safety guidelines for machines, emphasizing the need for proper labeling and adherence to safety procedures. ### Process Flows - **Process Flows**: - Detailed in Section 10.3, steps for handling safety alarms and mechanical issues are outlined, ensuring both operational safety and maintenance protocols are adhered to. ### Prozessbeschreibungen (Process Descriptions) - **Process Descriptions**: The document includes detailed descriptions of the necessary procedures for managing safety functions in machine operations and maintenance. ### Typen Bezeichnung (Type Designations) - **Type Designations**: Safety standards for various types of machine components like axes with different mechanisms and spindles are specified. ### Trend and Interpretation - **Trend**: A strong emphasis is placed on redundant safety systems and clear procedural steps to maintain machine function while ensuring safety. - **Interpretation**: The document aims to ensure that all safety-integrated machines adhere to stringent safety protocols, both for machine lifespan and operator safety. I have covered the requested aspects that are relevant based on the content provided. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 109 Context: # 10.5 Abschaltmatrix Die Abschaltmatrix dient zur Dokumentation, welches Safety-Signal (Not-Halt, Schutzurt, E2-Schließung, Zutrittssteuerung, usw.) auf welche Safety-Ausgänge wirkt. Eine Vorlagendatei für die Abschaltmatrix erhalten Sie bei Ihrer zuständigen Elektroabteilung. # 10.6 Sichere programmierbare Logik In der sicheren programmierbaren Logik wird die Sensorik (Schutztürschalter, Zustimmtaster) zweikanalig durch sichere Baugruppen erfasst und innerhalb der PLC verknüpft. Die Aktorik wird über sichere Baugruppen angesteuert. | PLC-Variable | NC-Variable | Beschreibung | |--------------|-------------|----------------------------------------| | INSEP [1..64] | INSE [1..64] | Eingänge | | OUTSEP [1..64] | OUTSE [1..64] | Ausgänge | | INSIP [1..64] | INSI [1..64] | Rückmeldung sicherer Funktionen | | OUTSIP [1..64] | OUTSI [1..64] | Ansteuerung sicherer Funktionen | | DB18.DBX.38.0 - 45.7 | | | | DB18.DBX.46.0 - 53.7 | | | | DB18.DBX.54.0 - 61.7 | | | | DB18.DBX.62.0 - 69.7 | | | Die Verknüpfung der Signale erfolgt in der PLC in KOP, in der NC mit statischen Synchronationen. ## Variablen-Namen | Variablen-Namen | PLC | NC | |------------------|------------------------------|----------------------------------| | INSEP [1] | Schutztür DB18.DBX38.0 | Schutztür INSE [1] | | INSE [1] | DB18.DBX38.0 | | | OUTSIP [1] | (SBH/SG Abwahl) | | | | | IDs = IDOUTSIP [1] = INSE [1] | | | | MD 36970 der Achse | | | | Adresse der Variablen 04010101 | Image Analysis: ## Image Analysis ### Localization and Attribution - **Image 1**: The document consists of a single page. ### Object Detection and Classification - **Image 1**: Contains tables, text blocks, and a header/footer section. ### Scene and Activity Analysis - **Image 1**: This document appears to be part of technical documentation. Specifically, it focuses on safety integration for a component/system related to industrial automation. ### Text Analysis - **Detected Text**: - **Header**: - "01/2024", "10 SINUMERIK 840D sl Safety Integrated" - **Main Headings**: - "10.5 Abschaltmatrix" - "10.6 Sichere programmierbare Logik" - **Subtext**: - "Die Abschaltmatrix dient zur Dokumentation, welches Safety-Signal (Not-Halt, Schutztür, E2-Schließung, Zustimmtaster, usw.) auf welche Safety-Ausgänge wirkt." - "Eine Vorlagendatei für die Abschaltmatrix erhalten Sie bei Ihrer zuständigen Elektrofachabteilung." - "In der sicher programmierbaren Logik wird die Sensorik (Schutztürschalter, Zustimmtaster) zweikanalig durch sichere Baugruppen erfasst und innerhalb der PLC und NC verknüpft. Die Aktorik wird über sichere Baugruppen angesteuert." - **Tables**: 1. **PLC-Variable**: - INSEP [1...64] - DB18.DBX 38.0 - 45.7 - OUTSEP [1...64] - DB18.DBX 46.0 - 53.7 - INSIP [1...64] - DB18.DBX 54.0 - 61.7 - OUTSIP [1...64] - DB18.DBX 62.0 - 69.7 2. **NC-Variable**: - INSE [1...64] - Eingänge - OUTSE [1...64] - Ausgänge - INSI [1...64] - Rückmeldung sicherer Funktionen - OUTSI [1...64] - Ansteuerung sicherer Funktionen 3. **Variable Mapping Table**: - INSEP[1], Schutzütür DB18.DBX38.0, Schutztür INSE[1] - OUTSIP[1], MD 36970 der Achse Adresse der Variablen 04010101 - **Text Significance**: - The text documents the assignment and interaction of various safety signals within programmable logic controllers (PLC) and numerical controllers (NC), which is crucial for ensuring the safety of machinery and operator. ### Diagram and Chart Analysis - **Tables**: - **PLC and NC Variables Table**: - PLC Variables and their NC counterparts are listed with their descriptions, such as inputs, outputs, and safety functions. - **Variable Mapping Table**: - Describes how specific PLC variables correspond to NC variables, which aids in understanding how safety functions are programmed and verified. ### Prozessbeschreibungen (Process Descriptions) - **Process Descriptions**: - The document describes the safe programmable logic process. The process involves detecting signals from safety devices like safety door switches and enabling actions through safe output groups. - Signals are linked within the PLC logic and the NC using specific mappings for synchronous safety coordination. ### Typen Bezeichnung (Type Designations) - **Types or Categories**: - PLC Variables: These include INSEP, OUTSEP, INSIP, and OUTSIP. - NC Variables: Corresponding to the PLC variables, INSE, OUTSE, INSI, and OUTSI. ### Contextual Significance - **Overall Contribution**: - The image contributes to the safety documentation of the SINUMERIK 840D sl system, ensuring that users understand how to implement and monitor safety functions. ### Summary This single-page document provides a detailed technical overview of the assignment and interaction of safety signals in a programmable logic controller (PLC) and numerical controller (NC) system for the SINUMERIK 840D sl series. Through text and tables, it explains how sensor signals are processed and managed for safe operation, benefiting engineers and technicians involved in the installation and maintenance of these systems. #################### File: Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf Page: 114 Context: # 12 Betriebsdatenerfassung 01/2024 **Wichtig** Die Software „TRANSLINE Collect“ ist lizenzpflichtig, die Lizenz ist separat für jede Maschine zu bestellen (siehe Kapitel „12.1.2 Lizenzen“). ## Systemaufbau Das folgende Bild zeigt den grundlegenden Systemaufbau von TRANSLINE Collect: ``` BDE-System SAP AMP Server Werkzeug Daten ``` **TRANSLINE Collect Server** - Schnittstellen-Funktionen - Kommunikation TCP/IP-Sockets - Rohdaten → XML | | | |------------------------------------|-----------------------------------| | **Datenbank** | | | SQL Befehle | | - S7-Steuerung - S7-Steuerung - S7-Steuerung ### BF1 SINUMERIK Operate (NC) ### BF2 SINUMERIK Operate (IPC) ### Bfm SINUMERIK Operate (IPC) --- Solutions for Powertrain / TRANSLINE © Siemens AG 2023 Alle Rechte vorbehalten Differenzbeschreibung Volkswagen Group Components Global Image Analysis: ### Image Analysis Report #### 1. Localization and Attribution - **Image Description:** This image contains a diagram depicting the system architecture of the "TRANSLINE Collect" system. - **Image Position:** The diagram is centrally located on the page. - **Number:** Image 1 #### 4. Text Analysis - **Extracted Text:** - **Header:** "12 Betriebsdatenerfassung 01/2024" - **Important Note:** "Wichtig Die Software „TRANSLINE Collect“ ist lizenzpflichtig, die Lizenz ist separat für jede Maschine zu bestellen (siehe Kapitel „12.1.2 Lizenzen“)." - **Subheading:** "Systemaufbau" - **Description:** "Das folgende Bild zeigt den grundsätzlichen Systemaufbau von TRANSLINE Collect:" - **Components within the Diagram:** - "BDE-System" - "SAP" - "AMP Server" - "Werkzeug Daten" - "Schnittstellen-Funktionen" - "SQL-Befehle" - "Datenbank" - "Kommunikation TCP/IP-Sockets" - "Rohdaten -> XML" - "TRANSLINE Collect Server" - "S7-Steuerung" - "BF1 SINUMERIK Operate (NC)" - "BF2 SINUMERIK Operate (NC)" - "BFm SINUMERIK Operate (IPC)" - **Analysis:** The text provides important information about the "TRANSLINE Collect" software, emphasizing its license requirements and the need for individual machine licenses. The subheading and descriptive text indicate that the diagram below illustrates the system architecture of the "TRANSLINE Collect" system. #### 5. Diagram and Chart Analysis - **Diagram Analysis:** - The diagram presents the system architecture. - **Main Components:** - **External Systems:** BDE-System, SAP, AMP Server, Werkzeug Daten - **Central System:** TRANSLINE Collect Server with interfaces, communication protocols (TCP/IP-Sockets), raw data processing (Rohdaten -> XML), and database connectivity. - **Controllers and Operate Units:** Multiple instances of S7-Steuerung and SINUMERIK Operate (NC and IPC) units. - **Data Flow Representation:** Arrows indicating data flow between components, using protocols and formats such as XML, SQL commands, and TCP/IP-Sockets. - **Axes, Scales, and Legends:** Not applicable here as it is a system architecture diagram without axes or scales. - **Key Insights:** The TRANSLINE Collect system integrates various external systems and utilizes SINUMERIK controllers for data collection and processing. Data flows are directed towards the central server where it is processed and stored in a database. #### 6. Product Analysis - **Products Depicted:** - **Software:** TRANSLINE Collect - **Hardware:** SINUMERIK Operate units, S7-Steuerung, and various external systems (BDE-System, SAP, AMP Server, Werkzeug Daten) - **Main Features:** - **TRANSLINE Collect:** Central server software that handles communication, data processing, and storage. - **SINUMERIK Operate Units:** NC and IPC types are used for machinery control. - **S7-Steuerung:** Controllers for industrial automation integrated into the system. #### 8. Color Analysis - **Color Composition:** - **Dominant Colors:** Blue and orange are the primary colors in the diagram. - **Impact on Perception:** Blue is often associated with technology and trust, implying reliability. Orange can signify energy and efficiency, suggesting the system's robust performance. #### 9. Perspective and Composition - **Perspective:** The diagram is presented in a straightforward, top-down view. - **Composition:** The elements are arranged logically with external systems at the top, central server and functionalities in the center, and various operate units and controllers at the bottom. The flow of data is depicted with arrows, making the system architecture easy to understand. #### 11. Metadata Analysis - **Document Metadata:** - **Chapter Title:** "Betriebsdatenerfassung" - **Date:** 01/2024 - **Page Number:** 12-2 - **Document Identification:** Solutions for Powertrain / TRANSLINE - **Copyright:** © Siemens AG 2023 Alle Rechte vorbehalten - **Company:** Differenzbeschreibung Volkswagen Group Components Global - **Contribution to Image Analysis:** The metadata confirms the document's association with Siemens AG and Volkswagen Group Components, providing context relevant to the automotive and industrial sectors. #### 13. Ablaufprozesse (Process Flows) - **Process Description:** - The diagram outlines a data collection and processing flow starting from various external systems, passing through communication protocols and data transformation (TCP/IP-Sockets and XML), and culminating in a centralized processing unit (TRANSLINE Collect Server) which interfaces with multiple SINUMERIK controllers. ### Conclusion The image comprehensively depicts the system architecture of the TRANSLINE Collect system, clearly showing its integration with external systems, internal processes, and components. This provides valuable insight into its functionality and data flow, especially within an industrial automation context. The accompanying text accentuates the importance of licensing for each machine, indicating the commercial and operational considerations necessary for deploying this system. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE.pdf Page: 2 Context: # 1. Vergegenstand Bearbeitungslinie für Motorgehäuse für Elektroantrieb SSP. ## 2. Angaben über das zu bearbeitende Bauteil **Bauteil:** Motorgehäuse SSP HA LK3.4 **Zeichnungsnummer:** QOA.901.108 **Gewicht des bearbeiteten Teils:** 14,975 kg (davon die Lagerbuchse 0,369 kg) **Rohtleidgewicht:** ca 18 kg **Material:** Gehäuse QOA 901 108 EN A6 – 46000 – AISi9Cu3 (Fe) **Lagerbuchse:** QOA 901 261 A DIN 30910-SINT-D-11 **Grundmaße:** siehe Zeichnung ## 3. Geforderte Anlagenfunktionen 3.1. Bearbeitung des Gussteils gemäß der Zeichnung QOA_901_108-sstpha_mg_ftz (siehe Anlage Nr. 8). 3.2. Eingangsstand des Teils – Gussteil (Hochdruckguss) – siehe 3D Daten (Anlage Nr. 7). Die Zeichnung des Gussteils ist noch nicht verfügbar und wird später erstellt. Allgemein kann man mit den Toleranzen des Gussteils nach ISO 8062-3 - DCTG7 - GCTG3 rechnen. 3.3. Ausgangsstand des Teils – bearbeitetes Teil – siehe Zeichnung (Anlage Nr. 8). 3.4. Das Prozessablaufschema und der Lieferumfang siehe Anlage 5. ## 4. Forderungen auf die Anlagenausführung 4.1. Modulare Linie der Bearbeitungszentren, verkettet durch ein Portal. Die Bearbeitungszentren (Module) und das Portal werden schrittweise nach dem Zeitplan gebaut – siehe Punkt Nr. 7. 4.2. Die Linie soll über SPC-Stellen verfügen, damit die Teile nach jeder Arbeitsfolge zur Messung entnommen und wieder in den Strom eingelegt werden können. 4.3. Der Transport des Teils zum Übergebepunkt unter dem Portal erfolgt über ein Förderband mit Spannvorrichtungen. Positionierung des Teils auf der Transportvorrichtung gemäß den Empfehlungen des Lieferanten der Linie und den technischen Möglichkeiten des Verkehrslieferanten. ### Die Schnittstelle zwischen der ML und der Verkettung vor und nach der Linie: - **Ladevorrichtung** – im Lieferumfang des Lieferanten der ML - **Förderer** – im Lieferumfang Škoda Auto a.s. ![Diagramm](link-zum-bild) Image Analysis: ### Analysis of the Visual Content #### **Localization and Attribution:** - There is one page in the document. - The page contains multiple elements including text and one diagram. #### **Text Analysis:** 1. **Document Header Information:** - **Title:** "Bearbeitungslinie für Motorgehäuse für Elektronatrieb SSP" (Processing line for motor housings for electric drive SSP) - **Project Information:** Includes project identifier codes (P3C-K Finanzun voštly poskiavenat) and contact information. - **Contact Details:** Two phone numbers are provided. 2. **Main Sections and Headlines:** - **1. Vergabegegenstand:** Description of the project task, which involves the processing line for motor housings for electric drive SSP. - **2. Angaben über das zu bearbeitende Bauteil:** Information about the component to be processed: - **Bauteil:** Motor housing SSP HA LK3,4 - **Zeichnungsnummer:** QOA.901.108 (Drawing number) - **Gewicht des bearbeiteten Teils:** 14.975 kg (Weight of the processed part) - **Material:** Gh Gehäuse QOA 901 108 - **3. Geforderte Anlagenfunktionen:** Required system functions for the processing line focused primarily on the handling of cast parts according to specific drawings and standards. - **4. Forderungen auf die Anlagenausführung:** Requirements for the plant setup, including modular lines and transport systems. 3. **Highlighted Text:** - **Yellow Highlight:** Important steps involving the processing centers (modules) and the portal, which must be built according to a schedule. - **Green Highlight:** "Ladevorrichtung – im Lieferumfang des Lieferanten der ML" (Loading device – within the scope of supply of the supplier of the ML) - **Orange Highlight:** "Förderer – im Lieferumfang Škoda Auto a.s." (Conveyor – within the scope of supply of Škoda Auto a.s.) #### **Diagram and Chart Analysis:** - **Diagram:** - The diagram appears to be a layout of the processing line, showing different stations and modules. - **Legend:** - Yellow blocks represent items in the supplier's scope (Ladevorrichtung). - Green blocks represent items in Škoda Auto a.s.'s scope (Förderer). #### **Color Analysis:** - **Dominant Colors:** - The dominant text colors are black and grey. - The highlighted areas appear in yellow, green, and orange, drawing attention to critical information. - **Impact:** - The highlighted colors are used effectively to direct attention to key procedural steps and roles. #### **Perspective and Composition:** - **Perspective:** - The diagram is presented in a 2D layout plan view. - **Composition:** - The page is organized into sections with headings and respective content, facilitating a clear and logical flow of information. - The diagram is centrally placed under the relevant section to visually support the textual content. #### **Contextual Significance:** - **Overall Significance:** - The document appears to be a technical specification or project outline detailing the requirements and setup of a processing line for motor housings. - The highlighted sections and diagrams aid in understanding the critical aspects of the project execution. ### Summary The visual content primarily consists of a structured technical document outlining the project requirements for a processing line for motor housings. It includes key textual information, data on the parts, and a diagram illustrating the layout and modules involved. Highlighted colors emphasize critical aspects related to procedural steps and responsibilities. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE.pdf Page: 3 Context: # Bearbeitungslinie für Motorgehäuse für Elektromotoren SSP **4.4** Die Bearbeitung (der ganze Prozess) wird mittels Kühlflüssigkeit (Emulsion) bevorzugt und empfohlen - Spezifikation der Emulsion nach Škoda ## 4.4.1 Preisgestaltung der Schnittstelle mit der Emulsionszentrale (Lieferung der Emulsionszentrale seitens Škoda Auto a.s.) **Spezifikation der erforderlichen Emulsionsmenge (l/min)** | | BAZ | BAZ | BAZ | BAZ | BAZ | |----|-----|-----|-----|-----|-----| | KSS| | | | | | - im Lieferumfang des Lieferanten - im Lieferumfang Škoda Auto a.s. ## 4.4.2 OPTION zu jeder Maschine die Filtrieranlage und Temperieremulsion + Spänetransport mittels Förderer anbieten (Höhe des Späneträgers 1.500 mm) | | BAZ | BAZ | BAZ | BAZ | BAZ | |----|-----|-----|-----|-----|-----| | KSS| | | | | | - im Lieferumfang des Lieferanten - im Lieferumfang Škoda Auto a.s. **4.5 OPTION die Variante der Kombination MMS und KSS anbieten** ### 4.5.1 Operation Vorbehandlung: - Es wird die Minimalmischrechnologie (MMS/MQL) eingesetzt - Spänetransport mittels Förderer (Höhe des Späneträgers 1.500 mm) ### 4.5.2 Operation Feinbearbeitung: - unter Kühlflüssigkeit (für jedes Zentrum eine Anlage zum Filtrieren und Temperieren der Emulsion anbieten) - Spänetransport mittels Förderer (Höhe des Späneträgers 1.500 mm) Image Analysis: **1. Localization and Attribution:** - **Image 1:** - Positioned at the top of the page. - Number assigned: Image 1. - **Image 2:** - Positioned in the middle of the page. - Number assigned: Image 2. 3. **Scene and Activity Analysis:** - **Image 1:** - Scene: This image depicts a diagram indicating "Spezifikation der erforderlichen Emulsionsmenge (l/min)" for different processes within a centralized emulsion location. - Activities: The diagram outlines the distribution and quantity of emulsion required. - **Image 2:** - Scene: This image presents another diagram, depicting a combination of MMS and KSS for different operations, with specifications for both systems under "Operation Feinbearbeitung". - Activities: The flow and distribution of the emulsion and transport heights for spanner trays are outlined. 4. **Text Analysis:** - **Image 1:** - Text Detected: "Spezifikation der erforderlichen Emulsionsmenge (l/min)" - Content Analysis: Details the required emulsion quantity in liters per minute for various sections designated in blue and grey. - **Image 2:** - Text Detected: "MMS Erstschnitt KSS Feinbearbeitung" - Content Analysis: Specifies the operation preparation and finish, highlighting the use of minimal lubrication technology and coolants in the process. 5. **Diagram and Chart Analysis:** - **Image 1:** - Data: Shows emulsion distribution across "BAZ L" and "BAZ R" systems. - Key Insight: Specifies emulsion levels for each section while indicating different entities involved in receiving the supply. - **Image 2:** - Data: Illustrates two operations—preparation (Erstschnitt) and fine processing (Feinbearbeitung)—with corresponding emulsion requirements. - Key Insight: Emphasizes the combined usage of MMS and KSS technologies, targeting efficiency and spanner transport systems. 13. **Graph Numbers:** - **Image 1:** - Each section is labeled with specific emulsion amounts; however, exact numerical values may need extraction or further clarification from a high-quality image to capture the text precisely if not clear at this scale. - **Image 2:** - Similar detailing as Image 1 with further emphasis on operational stages requiring identical numeric analysis for precise emulsion and transport values. **Additional Aspects to Include:** - **Prozessbeschreibungen (Process Descriptions):** - **Image 1:** Detailed process descriptions for centralized emulsion distribution ensuring optimized supply for various operational setups. - **Image 2:** Elaborate on specific processes using the combination of MMS and KSS technologies to enhance precision, efficiency, and overall performance. - **Typen Bezeichnung (Type Designations):** - Identification of machine types, BAZ L and BAZ R, and specific designations for the emulsion supply systems. **Annotations:** - The diagrams collectively deliver a comprehensive view of operational precision and fluid requirements, focusing on advanced lubrication and cooling systems pivotal for high-efficiency mechanical processes. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE.pdf Page: 5 Context: ```markdown # 8. Sonstiges - Sämtliche betriebstechnischen Parameter müssen die Betriebsvorschriften ITS Škoda Auto sowie die Sicherheitsnormen CSN erfüllen. - Der Lieferant hat alle Konstruktionen und technischen Lösungen noch vor dem Beginn der Herstellung mit den Fachbereichen ŠKODA AUTO AG zu konsultieren und genehmigen lassen. - Garantie mindestens 24 Monate im 3-Schicht-Betrieb. - Mit dem Angebot ist ein 2D-Layout in den Formaten PDF und DWG vorzulegen. - Baufundament, Medienanschlüsse bis zum Hauptverbraucher an der Grenze des Arbeitsplates stellt Škoda bereit. Die restlichen Vertailungen besorgt der Auftragnehmer. - Komplette Projektunterlagen wird der Lieferant 1 Monat nach Vertragsabschluss liefern. - Die erste Betriebsoffnung zum Schmiren der Anlage gehört zum Lieferumfang. - Das Werkzeug wird anhand der Unterlagen des Maschinenherstellers und der gegenseitigen Abstimmung von Škoda sichergestellt. - Dokumentation in tschechischer Sprache gemäß ITS ŠKODA (2 Ausdrücke + 1 digitale Form + Erklärung über den ordnungsgemäßen Erwerb von Softwarelizenzen). - Um einen Vertrag zu erhalten, ist eine Vertraulichkeitsvereinbarung (NDA-Vertrag mit ŠKODA AUTO AG) und eine entsprechende TISAX-Zertifizierung erforderlich. - Lieferbedingungen DDU DAP (einschließliche Zusammenlegung, Vermessung und Anbringung vor Ort). # 9. Anlagen 1. ITS/Betriebsmittelvorschriften ŠKODA AUTO a.s.: [ITS/Betriebsmittelvorschriften](https://its.volkswagen.de/one-kbp/content/es/kbp_private/information_1/divisions/procurement/terms_and_conditions_of_purchase/new_koda_auto_as_4/koda_auto_a_s.jsp) 2. Energie Škoda - separate Datei 3. Stiuerung in der Halle 4. Visualisierung der Teile, Grundmaße 5. Schema des technologischen Prozesses 6. Unterlage Solutions für Powertrain Volkswagen Group Components Global Differenzbeschreibung - per separate Datei 7. 3D Daten von Gussstück und des bearbeiteten Teils - werden per Ebox zugesandt 8. Zeichnungen des bearbeiteten Teiles - per separate Datei 9. Interne Richtlinie der Komponenten - per separate Datei 10. Norm TQS 02.09 - separate Datei 11. Norm VW 101 30 12. Norm WSK 016_862_G (Anforderungen zu Dichtungsflächen) 13. Kapazitätsanforderungen in Jahren 14. Erforderliches Schema der Spannung - separate Datei ``` Image Analysis: **Image Analysis** 1. **Localization and Attribution:** - The image is a single page document positioned centrally on the page. - Identified as Image 1. 2. **Text Analysis:** - The image features sections of text in German, numbered headings, and bullet points with detailed information. - Key sections highlighted in yellow for emphasis. **Text Analysis Details:** - **Headings:** - **8. Sonstiges (Miscellaneous):** This section outlines various technical parameters that must be adhered to, including safety standards, warranty details, documentation requirements, and delivery conditions. - **9. Anlagen (Attachments):** This section lists various types of attachment documents, links, and Norm references required. - **Highlighted parts include:** - "Das Werkzeug wird anhand der Unterlagen des Maschinenherstellers und der gegenseitigen Abstimmung von Skoda sichergestellt" (The tool is ensured based on the documents from the machine manufacturer and mutual agreement with Skoda). - "Dokumentation in tschechischer Sprache gemäß ITS ŠKODA" (Documentation in Czech language according to ITS ŠKODA). - Delivery conditions: "Lieferbedingungen DDU" (Delivery terms DDU) and "DAP (inklusiver Zusammenlegung, Vermessung und Anbringung vor Ort)" (DAP including consolidation, measurement, and on-site installation). - **Links:** - A URL is provided for terms and conditions of purchase for SKODA AUTO a.s. - **List of Attachments:** - The attachments include a variety of documents like technical norms (Normen), visualizations (Visualisierung), situating documents (Situierung), schematic processes (Schema des technologischen Prozesses), and documentation related to specific technical requirements and guidelines. **Current Segmentation and Analysis:** - **Bullet Points:** Expand upon specific responsibilities and processes, emphasizing construction, technical solutions, warranty, project documentation, and operational supplies. **Highlighted Sections (Color Analysis and Impact):** - The use of yellow highlights stresses important parts of the information. - Green-highlighted text emphasizes specific tools or processes essential for understanding technical documentation. **Contextual Significance:** - The document appears to be part of a technical manual or guideline related to the operational and documentation processes for SKODA AUTO, indicating operational standards and necessary compliances. This communicates thoroughness and emphasis on adhering to standards and regulatory requirements. **Perspective and Composition:** - The composition is straightforward, listing detailed instructions and hyperlinks in a structured format meant for clarity. - The highlighted sections ensure critical information stands out for quick reference. By examining these key details, it can be inferred that the document is vital for providing technical guidelines and ensuring compliance with industry standards and internal processes at SKODA AUTO. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE.pdf Page: 7 Context: # Anlage Nr. 3 – Situierung in der Halle Die Bearbeitungslinie ist blau markiert. Voraussichtliche Maße der Bearbeitungslinie betragen ca. 15 m x 40 m. - **Projektnummer:** SSP - **Kunde:** Miele Bielefeld - **Projektleitung:** Konstruktionsleitung Tzankov - **Tel.:** +49 7368 62337 - **Tel.:** +49 152 384 14752 ## Übersicht der Bereiche | Bereich | Beschreibung | |--------------------------- |-----------------------------------| | AF50 Mechanische Bearbeitung | OPTION | | AF50 Mechanische Bearbeitung | | | AF55 Waschen | | | AF85 Endkontrolle | | | AF80 Leckstellen Stopen | Diesenmontage | | Automatische Palettierung | Verpacken und Entladung | | Automatisches Depalettieren | | ![Plan](your_image_url_here) Image Analysis: ### 1. Localization and Attribution: - The content comprises a single image detailing a floor plan diagram. For the purpose of this analysis, it will be referred to as **"Image 1."** ### 2. Object Detection and Classification: - **Objects Detected:** - **Machines/Workstations:** - **AF50 Mechanische Bearbeitung OPTION** - **AF50 Mechanische Bearbeitung** - **AF55 Waschen** - **AF85 Endkontrolle** - **AF80 Lecktesten Stopfen und Demontage** - **Depalletizing Area:** labeled "automatische Depalettierung" - **Palletizing Area:** labeled "Automatische Palettierung Verpacken und Umreifen" - **Conveyor Belts/Pipeline:** connecting the various workstations - **Shelving/Racks:** positioned at the edges, likely for storage - **An outline of a person or worker:** shown in a standing posture near the depalletizing area ### 3. Scene and Activity Analysis: - **Description of Scene:** - The image depicts a detailed layout of a manufacturing or assembly hall. - **Activities:** - **Mechanical Processing:** in areas labeled "Mechanische Bearbeitung" - **Washing Station:** designated as AF55 Waschen - **Testing:** AF80 Lecktesten for leakage testing - **Inspection or Final Check:** AF85 Endkontrolle - **Packaging and Palletizing:** areas for automatic operations ### 4. Text Analysis: - **Detected text:** - **Project Details and Contact Information:** - Listed in the upper left corner. Project Name, Project Number, Customer, etc. - **Title:** - "Anlage Nr. 3 – Situierung in der Halle" which translates to "System No. 3 - Location in the Hall" - **Description:** - "Die Bearbeitungslinie ist blau markiert. Voraussichtliche Maße der Bearbeitungslinie betragen ca. 15 m x 40 m." translates in brief to the processing line is highlighted in blue with an approximate size of 15 m x 40 m. ### 5. Diagram and Chart Analysis: - **Diagram Layout:** - A floor plan with different workstation sections designated by different colors. - **Axial Measurements:** - Length (~40m) and width (~15m) of the blue-marked processing line - **Data and Trends:** - The map represents a workflow from depalletizing to mechanical processing, washing, leak testing, final inspection, and packaging. ### 6. Product Analysis: - **Workstations and Machinery:** - Each colored section appears to contain specific machinery or stations tailored for different operations. - Blue areas show dense workstations likely indicative of high activity. ### 7. Anomaly Detection: - **Identified Anomalies:** - No significant anomalies detected. ### 8. Color Analysis: - **Dominant Colors:** - Blue: Represents the primary processing line. - Green: Represents washing stations. - Red: Represents final inspection. - Yellow: Depalletizing and palletizing areas. - **Impact:** - Color coding helps in quickly identifying different sections and understanding their function within the production flow. ### 9. Perspective and Composition: - **Perspective:** - Top-down view, commonly known as the bird’s eye view. - **Composition:** - The floor plan is well-organized with clearly defined areas showing a logical sequence in the workflow. ### 10. Contextual Significance: - **Overall Contribution:** - Provides a clear visual representation of the layout and workflow within a manufacturing hall, likely aiming to guide workers or illustrate process planning. ### 13. Graph Numbers: - **Graph Measurements:** - The processing line area dimensions: Length ~40m, Width ~15m. ### Additional Aspects: - **Ablaufprozesse (Process Flows):** - The diagram illustrates a sequential flow starting from depalletizing, followed by mechanical processing, washing, testing, final inspection, and palletizing. - **Prozessbeschreibungen (Process Descriptions):** - The detailed steps involved in each section are likely described internally within the company but are implied in the workflow chart. ### Summary: The provided image depicts a detailed and color-coded flow plan of a manufacturing hall designated for various stages of product processing, from the initial depalletizing stage to the final packaging and palletizing. The rich detail, clear text, and structured layout facilitate an easy understanding of the process flow and station functions. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE.pdf Page: 10 Context: # Anlage Nr. 13 – Kapazitätsbedarf in Jahren | Jahr | Kapazität (KAPA 250AT) | Kapazität (KAPA 309AT) | Bedarf MGH | |------|-----------------------|------------------------|------------| | 2027 | 130.154 | | | | 2028 | 188.000 | | | | 2029 | 188.000 | | | | 2030 | 188.000 | | | | 2031 | 188.000 | | | | 2032 | 188.000 | | | | 2033 | 282.000 | | | | 2034 | 94.000 | | | **Kapazitätsbedarf**: - KAPA 250AT und KAPA 309AT - Ziel: 232.000 ### Legende - **KAPA 250AT**: --- - **KAPA 309AT**: --- - **Bedarf MGH**: --- Image Analysis: **Image Analysis** **Image Number: Image 1** 1. **Localization and Attribution:** - Single image presented on the page. 2. **Object Detection and Classification:** - Objects: Bar chart, line chart, text elements, and logos. - Categories: - Bar chart depicting capacity requirements over years. - Line chart overlaid illustrating capacity caps. - Text elements providing labels and values. - Logos in upper corners. 3. **Scene and Activity Analysis:** - The image depicts data visualization showing the capacity requirements over a series of years. - It is primarily focused on the capacity trends and predictions in an industrial context. 4. **Text Analysis:** - Various texts are detected: - Title: "Anlage Nr. 13 – Kapazitätsbedarf in Jahren" - Year labels on the x-axis ranging from 2027 to 2034. - Capacity values on the y-axis ranging from 0 to 300,000. - Specific capacity values for certain years, e.g., "130 154", "188 000", "282 000", and "94 000". - Labels "KAPA 250AT" and "KAPA 309AT". - Legend explaining the colors: Black for "Bedarf MGH". - Significance: These texts provide context and clarity to the data displayed in the chart, explaining the capacity requirements and the projected values over the given years. 5. **Graph and Trend Analysis:** - The graph shows a series of bars representing the capacity requirements (Bedarf MGH) annually from 2027 to 2034. - A red dashed line labeled "KAPA 309AT" and a solid red line labeled "KAPA 250AT" indicate different capacity limit thresholds. - The chart shows the following data points: - 2027: 130,154 - 2028-2032: Each has 188,000 - 2033: 282,000 - 2034: 94,000 - The trend indicates steady capacity requirements from 2028 to 2032, a sharp increase in 2033, and a notable decrease in 2034. - The significance of the 232,000 marker points out the exceeded capacity requirement in 2033 well above the normal threshold, highlighting potential capacity planning issues. 6. **Diagram and Chart Analysis:** - The diagram employs vertical bars to display data, with axes clearly marked. - The primary y-axis (left) measures capacity requirements from 0 to 300,000. - The secondary y-axis (right) corresponds to the same capacity range. - The x-axis represents the years from 2027 to 2034. - Key insights: - The requirements consistently meet the 188,000 mark for most years. - A significant peak is noted in 2033, going beyond the typical yearly requirements. - The decrease in 2034 below previous years' marks suggests fluctuating demands or operational changes. 7. **Trend and Interpretation:** - The primary trend shows steady annual capacity requirements with occasional peaks. - The 2033 peak may indicate an expected surge in demand or production that year, necessitating additional planning. - The lower requirement in 2034 could suggest optimization or decreased demand, possibly following the peak year. 8. **Tables:** - The data from the chart can be tabulated as follows: | Year | Capacity Requirement | |------|-----------------------| | 2027 | 130,154 | | 2028 | 188,000 | | 2029 | 188,000 | | 2030 | 188,000 | | 2031 | 188,000 | | 2032 | 188,000 | | 2033 | 282,000 | | 2034 | 94,000 | - This table succinctly presents the annual capacity needs, facilitating simple comparison and analysis. In conclusion, the image provides a comprehensive view of capacity requirements over an eight-year span, with notable peaks and troughs that are important for planning and resource allocation in an industrial context. #################### File: VW%2010130_DE.pdf Page: 1 Context: **10. Contextual Significance:** This image appears to be the table of contents page of a technical document from Volkswagen AG, specifically focusing on machine capability testing. It sets the stage for detailed guidelines and standard protocols for assessing and optimizing machine capabilities within the organization. This page serves as a roadmap for navigating through the structured content of the document. **12. Graph and Trend Analysis:** Not applicable as no graphs are present. **13. Graph Numbers:** Not applicable as no graphs are present. **Additional Aspects:** - **Ablaufprozesse (Process Flows):** - The text refers to various processes involved in machine capability testing and evaluation but does not depict an actual flowchart. - **Prozessbeschreibungen (Process Descriptions):** - The content includes sections detailing process descriptions, such as statistical tests and data evaluation methods. - **Typen Bezeichnung (Type Designations):** - Categories like "Verteilungsmodelle" (Distribution Models) and terms under statistical test methods. - **Trend and Interpretation:** - The trend is towards a structured, standardized approach to machine capability testing, with clear sections dedicated to both theoretical foundations and practical applications. - **Tables:** - The table of contents itself is presented as an organized table, outlining the structure and pages of the document. #################### File: VW%2010130_DE.pdf Page: 1 Context: # Volkswagen AG Maschinenfähigkeitsuntersuchung für messbare Merkmale VW 101 30 --- **Konzennorm** Schlagwörter: Maschinenfähigkeitsuntersuchung, Fähigkeitskennwert, Qualitätsfähigkeit, Maschinenfähigkeit ## Inhalt 1. Zweck und Anwendungsbereich .......................... 2 2. Prinzip der Maschinenfähigkeitsuntersuchung ... 3 3. Theoretische Grundlagen ................................. 4 3.1 Verteilungsmodelle ......................................... 4 3.1.1 Normalverteilung ................................... 4 3.1.2 Betragsverteilung 1. Art ....................... 5 3.1.3 Betragsverteilung 2. Art (Rayleigh-Verteilung) 6 3.2 Fähigkeitsmittlung ......................................... 10 3.2.1 Fähigkeitsermittlung bei definierten Verteilungsmodellen ... 10 3.2.2 Fähigkeitsermittlung bei nicht definierten Verteilungsmodellen ... 16 3.3 Grenzwert zur Maschinenfähigkeit ................. 18 4. Statistische Tests ................................................ 18 4.1 Durchführung einer Maschinenfähigkeitsuntersuchung ... 21 4.2 Prüfmittelanwendung .................................... 22 4.3 Stichprobenentnahme ................................. 22 4.4 Sonderregelung für eingeschränkte MFU ....... 24 4.4.1 Auswahl des zu erwartenden Verteilungsmodells ... 25 4.4.2 Test auf Ausreißer .................................. 25 4.4.3 Ausreißer aus der Berechnung der statistischen Kenngrößen nehmen ... 26 4.4.4 Test auf Änderung der Fertigungslage ... 26 4.4.5 Test auf Abweichung von festgelegten Verteilungsmodellen ... 26 4.4.6 Auswertung nach Normalverteilung ........ 26 4.4.7 Auswertung nach festgelegtem Modell .... 26 4.4.8 Verteilungsfreie Auswertung ..................... 27 5. Dokumentation .................................................... 28 6. Ergebnisbeurteilung ........................................... 28 7. Maschinenoptimierung ..................................... 29 8. Behandlung nicht fähiger Maschinen ................ 29 9. Beispiele ............................................................ 30 10. Mitgeltende Unterlagen .................................. 30 11. Literaturhinweise ............................................... 33 12. Stichwortverzeichnis ....................................... 34 Image Analysis: **1. Localization and Attribution:** There is only one image on the page. Therefore, it will be referred to as "Image 1." **4. Text Analysis:** - **Title and Headers:** - "Maschinenfähigkeitsuntersuchung für messbare Merkmale" (Machine Capability Testing for Measurable Features) - **Subtitle:** - "Konzernnorm" (Group Standard) - **Keywords:** - "Schlagwörter: Maschinenfähigkeitsuntersuchung, Fähigkeitskenwert, Qualitätsfähigkeit, Maschinenfähigkeit" (Keywords: Machine Capability Testing, Capability Index, Quality Capability, Machine Capability) - **Content Table:** - This image contains a table of contents for a document related to machine capability testing. It includes 13 main sections and various subsections detailing different aspects of machine capability testing and evaluation. - **Sections and Page Numbers:** - Section 1: Zweck und Anwendungsbereich (Purpose and Application Area) - Page 2 - Section 2: Prinzip der Maschinenfähigkeitsuntersuchung (Principle of Machine Capability Testing) - Page 3 - Section 3: Theoretische Grundlagen (Theoretical Basics) - Page 4 - Section 3.1: Verteilungsmodelle (Distribution Models) - Page 4 - Section 3.1.1: Normalverteilung (Normal Distribution) - Page 4 - Section 3.1.2: Betragsverteilung 1. Art (Magnitude Distribution 1st Type) - Page 5 - Section 3.1.3: Betragsverteilung 2. Art (Rayleigh-Verteilung) (Magnitude Distribution 2nd Type - Rayleigh) - Page 6 - Section 3.2: Fähigkeitsermittlung (Capability Determination) - Page 8 - Section 3.2.1: Fähigkeitsermittlung bei definierten Verteilungsmodellen (Capability Determination with Defined Distribution Models) - Page 8 - Section 3.2.2: Fähigkeitsermittlung bei nicht definierten Verteilungsmodellen (Capability Determination without Defined Distribution Models) - Page 16 - Section 3.3: Grenzwerte zur Maschinenfähigkeit (Limit Values for Machine Capability) - Page 18 - Section 3.4: Statistische Tests (Statistical Tests) - Page 20 - Section 4: Durchführung einer Maschinenfähigkeitsuntersuchung (Conducting a Machine Capability Study) - Page 23 - Section 4.1: Prüfmittelanwendung (Application of Test Equipment) - Page 23 - Section 4.2: Stichprobenentnahme (Sampling) - Page 24 - Section 4.3: Sonderregelung für eingeschränkte MFU (Special Regulation for Limited MFU) - Page 25 - Section 4.4: Datenauswertung (Data Evaluation) - Page 25 - Section 4.4.1: Auswahl des zu erwartenden Verteilungsmodells (Selection of the Expected Distribution Model) - Page 25 - Section 4.4.2: Test auf Ausreißer (Outlier Test) - Page 25 - Section 4.4.3: Ausreißer aus der Berechnung der statistischen Kenwerrte nehmen (Exclude Outliers from the Calculation of Statistical Parameters) - Page 25 - Section 4.4.4: Test auf Änderung der Fertigungslage (Test for Manufacturing Shift) - Page 26 - Section 4.4.5: Test auf Abweichung vom festgelegten Verteilungsmodell (Test for Deviation from the Established Distribution Model) - Page 26 - Section 4.4.6: Auswertung nach Normalverteilungen (Evaluation According to Normal Distributions) - Page 26 - Section 4.4.7: Auswertung nach festgelegtem Modell (Evaluation According to the Established Model) - Page 26 - Section 4.4.8: Verteilungsfreie Auswertungen (Distribution-Free Evaluations) - Page 27 - Section 4.5: Dokumentation (Documentation) - Page 28 - Section 4.6: Ergebnisbeurteilung (Result Assessment) - Page 28 - Section 4.7: Maschinenoptimierung (Machine Optimization) - Page 29 - Section 4.8: Behandlung nicht fähiger Maschinen (Handling Non-Capable Machines) - Page 29 - Section 5: Beispiele (Examples) - Page 30 - Section 6: Mitgliedende Unterlagen (Member Documents) - Page 30 - Section 7: Literaturhinweise (References) - Page 33 - Section 8: Stichwortverzeichnis (Index) - Page 34 **7. Anomaly Detection:** No anomalies or unusual elements are identified in the image. **8. Color Analysis:** The image is primarily composed of black and white text on a white background, following a standard format for technical documents. There are no dominant colors other than black text, contributing to a formal and professional look. **9. Perspective and Composition:** The image is taken from a bird's eye view, directly above the document, ensuring all text and elements are visible and readable. The composition consists of a header, follo1:wed by a detailed table of contents. #################### File: VW%2010130_DE.pdf Page: 5 Context: Als Wahrscheinlichkeit lässt sich in Bild 2 der Flächenanteil unterhalb des Grafen innerhalb eines betrachteten Intervalls interpretieren. Die Wahrscheinlichkeit, einen Merkmalswert \( x \) in einer Grundgesamtheit vorzufinden, der höstens so groß wie ein betrachteter Grenzwert \( x_1 \) ist, wird somit durch die Integralfunktion, die Verteilungsfunktion, angegeben. Diese lautet für die Normalverteilung \[ F_v(x) = \int_{-\infty}^{x} f_v(x) \, dx \quad (1.2) \] wobei \[ \int_{-\infty}^{x} f_v(x) \, dx = 1 \quad (1.3) \] und \( f_v(x) \geq 0 \) für alle Werte \( x \) gilt. Mit der Transformation \[ u = \frac{x - \mu}{\sigma} \quad (1.4) \] ergibt sich aus (1.1) die Wahrscheinlichkeitsdichte der standardisierten Normalverteilung \[ \phi(u) = \frac{1}{\sqrt{2\pi}} e^{-\frac{u^2}{2}} \quad (1.5) \] und die Verteilungsfunktion \[ \Phi(u) = \int_{-\infty}^{u} \phi(u) \, du \quad (1.6) \] mit der Standardabweichung \( \sigma = 1 \). ### 3.1.2 Betragsverteilung 1. Art Die Betragsverteilung 1. Art entsteht durch Faltung der Dichtefunktion einer Normalverteilung am Nullpunkt, wobei die Funktionswerte links vom Faltungspunkt zu denen rechts davon addiert werden. Die Dichtefunktion und die Verteilungsfunktion der Betragsverteilung 1. Art lauten somit \[ f_{a}(x) = \frac{1}{\sigma_N \cdot \sqrt{2\pi}} \left( e^{-\frac{|x - \mu_N|}{\sigma_N}} + e^{-\frac{x + \mu_N}{\sigma_N}} \right) \quad \text{für } x \geq 0 \quad (1.7) \] \[ F_{B}(x_{g}) = \Phi\left(\frac{x_{g} - \mu_N}{\sigma_N}\right) + \Phi\left(\frac{x_{g} + \mu_N}{\sigma_N}\right) - 1 \quad (1.8) \] wobei - \( \mu_N \): Mittelwert der ursprünglichen Normalverteilung, der eine systematische Nullpunktverschiebung kennzeichnet - \( \sigma_N \): Standardabweichung der ursprünglichen Normalverteilung - \( \Phi \): Verteilungsfunktion der standardisierten Normalverteilung Image Analysis: ### Text Analysis: - **Section Headers and Content:** - **3.1.2 Betragsverteilung 1. Art:** - This title refers to the "Absolute Distribution of the 1st Kind". It appears to be a focus on a specific type of statistical distribution. - **In-line Mathematical Expressions and Their Practical Interpretation:** - There are several mathematical expressions, each connected to probability functions and transformations: 1. **\( F_{N}(x) = ∫_{-∞}^{x} f_{x}(x) dx \)** (1.2) 2. **\( ∫_{-∞}^{∞} f_{x}(x) dx = 1 \)** (1.3): Ensures that the total probability distribution sums to 1. 3. **\( f_{x}(x) ≥ 0 \)** for all values of x. 4. **Transformation: \( u = \frac{X - µ}{σ} \)** (1.4) 5. **Probability density of the standardized normal distribution:** - \( φ(u) = \frac{1}{√(2π)} e^{-\frac{u²}{2}} \)** (1.5) 6. **Distribution function \( Φ(u) = ∫_{-∞}^{u} φ(u) du \)** (1.6): Indicates the cumulative distribution function (CDF) with standard deviation σ=1. - **Further Mathematical Definitions:** - **Betragsverteilung 1. Art:** - Emerges from the folding density function of a normal distribution at the zero point (null point). - Equations (1.7) and (1.8) show the probability density function and cumulative distribution function (CDF) for this kind of distribution, respectively: - \( f_{B₁}(x) = \frac{1}{σ_{N} √(2π)} \left( e^{(-\frac{(x-µ_{N})²}{2σ_{N}²})} + e^{(-\frac{(x + µ_{N})²}{2σ_{N}²})} \right)\) for \( x ≥ 0 \) (1.7) - \( F_{B₁}(x_{B₁}) = \left[Φ_{J} \left(\frac{x_{B₁} - µ_{N}}{σ_{N}} \right) + Φ_{J} \left( \frac{x_{B₁} + µ_{N}}{σ_{N}} \right) - 1 \right]\) (1.8) - Definitions: - \( µ_{N} \): Mean of the original normal distribution, which signifies a systematic deviation at the zero point. - \( σ_{N}: Standard deviation of the original normal distribution. - \( Φ_{J}: Distribution function of the standardized normal distribution. ### Diagram and Chart Analysis: - **Description:** This segment appears to provide theoretical and mathematical derivations related to statistical distributions, particularly focusing on probability distributions like the normal distribution and transformations to standardized forms. However, the provision of actual diagrams or explicit charts is missing. ### Process Descriptions: - **Probability Integration:** - Equations provided ensure integration of probability density functions to confirm total probability equals 1. - Transformation into standardized forms using z-scores facilitates easier understanding and application. - **Folded Normal Distribution:** - The method describes modifying a normal distribution around a null point, producing a distribution function that symmetrically accounts for deviations both left and right. ### Trend and Interpretation: - **Normal Distribution's Statistical Properties:** - Standardization (mean removal and division by standard deviation) simplifies comparing different data sets. - Folding around zero enhances understanding probabilistic behaviors essential in diverse scenarios, ranging from basic statistics to advanced theoretical applications. In conclusion, these textual fragments delve into critical aspects of understanding and leveraging normal distribution in statistical analyses, helping ensure robust, standardized, and comparable interpretations across different datasets. #################### File: VW%2010130_DE.pdf Page: 7 Context: # 3.1.3 Betragverteilung 2. Art (Rayleigh-Verteilung) Die Betragverteilung 2. Art ergibt sich aus den vektoriellen Beträgen der orthogonalen Komponenten x und y einer zweidimensionalen Normalverteilung, wobei für die Komponenten gleiche Standardabweichungen angenommen werden. Dieser Fall liegt bei vielen Fertigungsmerkmalen im Form radialer Abweichungen von einem betrachteten Punkt oder einer betrachteten Achse vor. Die Dichtefunktion und die Verteilungsfunktion der Betragverteilung 2. Art lauten allgemein: ## Dichtefunktion \[ f_{g2}(r) = \frac{r}{2\pi \sigma_N^2} e^{-\frac{r^2}{2\sigma_N^2}} \int_0^{\frac{z}{\sigma_x}} z \cdot \cos(\alpha) \, d\alpha \quad \text{für } r \geq 0 \tag{1.14} \] ## Verteilungsfunktion \[ F_{g2}(r) = \int_0^{r} f_{g2}(r) \, dr \tag{1.15} \] wobei - \(\sigma_x\): Standardabweichung der orthogonalen Komponenten x und y, aus denen sich die radiale Abweichung r von einem Bezugspunkt oder einer Bezugsgasse ergibt - z: Exzentrizität, Abstand zwischen Koordinatenursprung und Häufigkeitsmittelpunkt Das Bild 4 zeigt Dichtefunktionen der Betragverteilung 2. Art, die sich bei verschiedenen Exzentrizitäten in Einheiten von \(\sigma_N\) ergeben. ![Dichtefunktionen der Betragverteilung 2. Art](path/to/image) # Mittelwert und Varianz der Betragverteilung 2. Art laufen Image Analysis: ### Comprehensive Examination of the Visual Content #### 1. **Localization and Attribution** - The content consists of a single page. - **Image Number:** Image 1 - **Location:** Lower part of the page, occupying about half of the total space. #### 2. **Object Detection and Classification** - **Object Detected:** - A graph with multiple lines representing different functions. - textual content includes mathematical expressions, figures, and annotations. #### 3. **Scene and Activity Analysis** - **Scene Description:** - The scene showcases a mathematical context focused on the distribution functions of a certain kind, specifically Rayleigh distribution. - **Main Activities:** - Presentation and explanation of mathematical functions and their implications. - Graphical representation of distribution functions with varying eccentricities. #### 4. **Text Analysis** - **Detected Text:** - **Title and Heading:** - "3.1.3 Betragsverteilung 2. Art (Rayleigh-Verteilung)" - **Main Body Text:** - Explanation of Rayleigh distribution, its function and significance. - Definitions for key terms: "σ_N", "z". - **Formulas:** - Mathematical expressions (e.g., \( f_{\text{BZ2}}(r) = \frac{r}{2π * σ_N^2} * e^{-\frac{r^2}{2σ_N^2}}, z r * cosα dα = \int_{0}^{r} \int_{0}^{2π z r * cosα dα \), etc.). - **Legend and labels in the graph:** - "Z=0", "Z=1σ_N", "Z=2σ_N", "Z=3σ_N". - **Graph Title:** - "Bild 4 - Dichtefunktionen der Betragsverteilung 2. Art mit verschiedenen Exzentrizitäten." - Axis labels: "Wahrscheinlichkeitsdichte" (Probability Density, y-axis), "Merkmalswert" (Feature Value, x-axis). #### 5. **Diagram and Chart Analysis** - **Graph Analysis:** - **Axes and Scales:** - X-axis labeled "Merkmalswert" (Feature Value), with values ranging from 0 to 60 with specific points marked for different values of Z. - Y-axis labeled "Wahrscheinlichkeitsdichte" (Probability Density), indicating density values. - **Lines:** - Four distinct curves corresponding to different Z values (0, 1σ_N, 2σ_N, 3σ_N). - **Trends:** - Each curve represents how the probability density changes as the feature value increases for different eccentricities. #### 12. **Graph and Trend Analysis:** - **Trend Identification:** - As the Z value increases, the curves shift to the right indicating that higher eccentricities correspond to higher feature values. - Probability density decreases as feature value increases for higher Z values. - The peak of the curves tends to flatten with increasing Z, suggesting a wider spread of feature values for larger eccentricities. #### 13. **Graph Numbers** - The exact numerical data points are not provided in the image, only the conceptual graph lines are present. ### Additional Aspects #### **Process Flows and Descriptions** - The image is focused on mathematical distribution and does not include process flows or process descriptions. #### **Type Designations** - Types of distribution functions based on eccentricities (Z values): Z=0, Z=1σ_N, Z=2σ_N, Z=3σ_N. #### **Trend and Interpretation** - Higher eccentricities (Z values) result in wider and lower distribution peaks, indicating that as eccentricity increases, the values become more spread out with a lower probability density at any specific value. #### **Tables** - There are no tables present in the image for analysis. ### Conclusion: This image provides a specialized mathematical exploration of Rayleigh distribution functions with varying eccentricities. The graph illustrates how changes in eccentricity affect the probability density and feature values, providing insights into the statistical behavior of such distributions. #################### File: VW%2010130_DE.pdf Page: 11 Context: # Streubereichsgrenzen der Betragsverteilung 1. Art Zur Ermittlung der Streubereichsgrenzen für eine Betragsverteilung 1. Art werden zunächst nach Formel (2.6) und (2.7) bzw. (2.9) und (2.10) die Kenngrößen μ und σ geschätzt. Für den Fall μ/σ < 3 werden dann aus den geschätzten Kenngrößen μ und σ die gesuchten Parameterwerte μ₁ und σ₁ der anzupassenden Betragsverteilung 1. Art in der folgenden Weise geschätzt: Aus Gleichung (1.9) erhält man die Funktion \[ \frac{\hat{\mu}}{\hat{\sigma}} = v \cdot \sqrt{\left(\frac{ \hat{N}}{N} \cdot \left( \frac{\hat{\mu}}{\hat{N}} - \frac{\hat{\sigma}}{\hat{N}} \right) + \frac{\hat{\sigma}}{\hat{N}} \cdot \left( \frac{\hat{\mu}}{\hat{N}} - \frac{\hat{\mu}}{\hat{N}} \right)\right) + \frac{2}{\sqrt{2}} \left(\frac{\hat{\sigma}}{\hat{\mu}}\right)} \] Mit Gleichung (1.10) ergibt sich daraus die Funktion \[ \frac{\hat{c}}{\hat{\sigma}} = \frac{v \cdot \hat{b}}{\hat{N}} \sqrt{1 + \left(\frac{ \hat{\mu}}{\hat{N}}\right)^2} \] Aus den Gleichungen (1.11) und (1.12) ergibt sich die Bedingung \[ \frac{\hat{\mu}}{\hat{\sigma}} = \frac{\sqrt{2}}{\sqrt{-2}} = 1,3236 \] Die gesuchten Parameterwerte der Betragsverteilung 1. Art lassen sich somit unter der Bedingung (2.14) durch \[ d\hat{\sigma} = \hat{d} \cdot \frac{1 + \left(\frac{ \hat{\mu}}{ \hat{c}}\right)^2}{1 + \left(\frac{ \hat{\sigma}}{ \hat{c}}\right)^2} \] \[ \hat{\mu}_N = \xi_{5} \cdot \left(\frac{\hat{\mu}}{\hat{d}}\right) \quad \text{schätzen, wobei} \quad \xi_{5} = \text{inverse Funktion von (2.13)} \] Für den Fall, dass das Verhältnis \( \frac{\hat{\mu}}{\hat{d}} \) aufgrund von Zufallsabweichungen der Stichprobenkenngrößen kleiner ist als der Grenzwert 1,3236 aus der Bedingung (2.14), wird das Verhältnis \( \frac{\hat{\mu}}{\hat{d}} \) auf diesen Grenzwert gesetzt, bei dem sich die folgenden Parameterwerte ergeben: \[ \hat{\mu}_N = 0 \quad \text{und nach Formel (1.12)} \] \[ d\hat{\sigma} = \frac{\pi}{\sqrt{2}} - \hat{b} = 1,659 \cdot \hat{d} \] Image Analysis: **Image Localization and Attribution:** - There is a single image on the page. **Text Analysis:** - The image contains a substantial amount of German text with mathematical equations and formulae. - The heading reads: "Streuereichsgrenzen der Betragverteilung 1. Art," which translates to "Range limitations of the magnitude distribution of the 1st type." - The text addresses the determination of spreading range limits for a magnitude distribution of the first type, initially estimating parameters μ and σ via various formulae. - Several Greek symbols (μ, σ, ξ, etc.) and mathematical expressions are utilized consistently, indicating the text is likely discussing statistical functions and their derivations. - Key equations include: - Equation (2.12) introduces a function involving μ and σ. - Equation (2.13) derives another function from previous ones. - Equation (2.14) sets a condition involving the ratio μ/σ. - Equations (2.15) and (2.16) solve parameters for the distribution. - Equation (2.17) provides parameter values under specific conditions. - The paragraphs under the equations explain the interpretations and conditions for these mathematical derivations. **Diagram and Chart Analysis:** - No diagrams or charts are present in this image. **Color Analysis:** - The image is predominantly in black and white, indicating that it is a text-based document or page without colored elements. **Perspective and Composition:** - The image appears to be a scanned document taken from a bird's eye view (straight on) perspective. - The composition is straightforward, with text neatly aligned and equations systematically numbered. **Contextual Significance:** - Given the technical and mathematical nature of the content, the image is probably part of a scientific or statistical document, perhaps dealing with probability, distributions, and statistical parameters. - This specific page contributes to a broader theme of data analysis and statistical theory, particularly focusing on the distribution limits of given parameters. **Additional Observations:** - There is an identifier at the top right corner: "Seite 11" (Page 11) and "VW 101 30: 2005-02," likely indicating the document's pagination and reference code. - The structure of the text with numbered equations and explanations resembles that of a scientific paper or textbook in a technical field such as statistics or engineering. In summary, the image is a detailed examination of statistical range limits for magnitude distribution, containing essential formulas and conditions for determining parameters under specific statistical frameworks. #################### File: VW%2010130_DE.pdf Page: 12 Context: # Seite 12 VW 101 30: 2005-02 Der Zusammenhang zwischen den Parameterwerten \( \mu_N \) und \( \sigma_N \) der Betragverteilung 1. Art und den statistischen Kennwerten \( \mu \) und \( \sigma \) ist in Bild 5 auf \( \sigma \) bezogen grafisch dargestellt. ## Bild 5 - Relative Parameterwerte der Betragverteilung 1. Art in Abhängigkeit von der relativen Lage ![Bild 5](path/to/image5) Für die angepasste Betragverteilung 1. Art lassen sich dann die Streubreichsgrenzen numerisch ermitteln, deren Abhängigkeiten von der relativen Lage in Bild 6 dargestellt sind. ## Bild 6 - Relative Streubreichsgrenzen der Betragverteilung 1. Art in Abhängigkeit von der relativen Lage ![Bild 6](path/to/image6) Image Analysis: ## Comprehensive Examination of the Attached Visual Content: ### Image Localization and Attribution: - **Image 1**: The first graph located at the top of the page. - **Image 2**: The second graph located at the bottom of the page. ### Object Detection and Classification: - **Image 1**: - Objects Detected: - Axes (X and Y) for a graph - Two curves labeled `μ_N / σ` and `σ_N / σ` - Grid lines - Data Points - Classification: Graph/Chart, Scientific Visualization - Key Features: - X-axis labeled "relative Lage μ / σ" - Y-axis labeled "relativer Verteilungsparameter" - Two distinct curves representing different parameters - **Image 2**: - Objects Detected: - Axes (X and Y) for a graph - Two curves labeled `Χ_99.865% / σ` and `Χ_0.135% / σ` - Grid lines - Data Points - Classification: Graph/Chart, Scientific Visualization - Key Features: - X-axis labeled "relative Lage μ / σ" - Y-axis labeled "relative Streubreichsgrenze" - Two distinct curves representing different parameters ### Scene and Activity Analysis: - **Image 1**: - Scene Description: A scientific graph displaying the relationship between relative parameter values and relative location. - Activities: Visualization of parameter values indicative of statistical or probabilistic study. - Main Actors: The two curves `μ_N / σ` and `σ_N / σ`. - Actions: The curves represent the change in relative distribution parameters against relative location. - **Image 2**: - Scene Description: A scientific graph showing relative scatter range boundaries depending on the relative location. - Activities: Visualization of scatter range boundaries. - Main Actors: The two curves `Χ_99.865% / σ` and `Χ_0.135% / σ`. - Actions: The curves represent the numerical scatter range limits against relative location. ### Text Analysis: - **Image 1**: - Detected Text: - Titles, axis labels, and annotations such as "relativer Verteilungsparameter", "relative Lage μ / σ", "μ_N / σ", and "σ_N / σ". - Analysis: - The text provides context to understand the graph, indicating what the axes and curves represent. - **Image 2**: - Detected Text: - Titles, axis labels, and annotations such as "relative Streubreichsgrenze", "relative Lage μ / σ", "Χ_99.865% / σ", and "Χ_0.135% / σ". - Analysis: - The text offers essential information necessary to grasp the significance of the curves in relation to the scatter range boundaries. ### Diagram and Chart Analysis: - **Image 1**: - Data and Trends: - The graph contains two curves showcasing the relationship between the relative parameter values and relative location. - One curve (likely representing `μ_N / σ`) shows a steady increase, while the other (likely representing `σ_N / σ`) starts high, decreases, and then stabilizes. - Axes: - X-axis: "relative Lage μ / σ" ranges from 1.2 to 3.0. - Y-axis: "relativer Verteilungsparameter" ranges from 0 to 3.5. - Key Insights: - The parameter `μ_N / σ` increases non-linearly with relative location. - The parameter `σ_N / σ` starts high but becomes less affected by relative location as it ranges out. - **Image 2**: - Data and Trends: - The graph illustrates two curves indicating scatter range boundaries. - The upper curve (Χ_99.865% / σ) is almost flat, while the lower curve (Χ_0.135% / σ) slightly increases. - Axes: - X-axis: "relative Lage μ / σ" ranges from 1.2 to 3.0. - Y-axis: "relative Streubreichsgrenze" ranges from 0 to 7. - Key Insights: - The upper boundary (Χ_99.865% / σ) is relatively constant. - The lower boundary (Χ_0.135% / σ) shows a slight increase with the relative location. ### Trend and Interpretation: - **Image 1**: - Trends: - Increasing trend for `μ_N / σ`. - Decreasing then stabilizing trend for `σ_N / σ`. - Interpretations: - The parameter `μ_N / σ` becomes more dominant as relative location increases. - `σ_N / σ` suggests a higher initial value that stabilizes over the range. - **Image 2**: - Trends: - Almost constant trend for `Χ_99.865% / σ`. - Slightly increasing trend for `Χ_0.135% / σ`. - Interpretations: - The scatter range upper boundary remains steady, indicating consistent upper boundary behavior. - The lower boundary trend increase indicates a gradual widening of the scatter range. These analyses provide a detailed examination of the visual content, focusing on different aspects specified in the request. #################### File: VW%2010130_DE.pdf Page: 16 Context: ``` ## 3.2.2 Fähigkeitsermittlung bei nicht definierten Verteilungsmodellen Lässt sich einem Fertigungsmerkmal kein passendes Verteilungsmodell zuordnen, oder widersprechen die Messwerte der entnommenen Stichprobe dem angenommenen Verteilungsmodell, so erfolgt eine verteilungsfreie Schätzung der Fähigkeitskenngröße nach der Spannweitenmethode in der folgenden modifizierten Form unter Berücksichtigung des Stichprobenumfangs (siehe auch Beispiel 1 in Abschnitt 5): ### Fähigkeitskenngr Werte für zweisseitig toleriertes Merkmal: \[ \hat{c}_m = \frac{G_o - G_u}{\bar{x} - \bar{x}_u} \tag{2.29} \] \[ \hat{c}_{mk} = \min \left( \frac{G_o - \bar{x}_o}{\bar{x} - \bar{x}_{95}}, \frac{\bar{x} - G_l}{\bar{x}_{95} - \bar{x}_o} \right) \tag{2.30} \] ### Fähigkeitskenngr Werte für einseitig nach oben toleriertes Merkmal mit natürlichem unteren Grenzwert Null: \[ \hat{c}_m = \frac{G_o}{\bar{x} - \bar{x}_u} \tag{2.31} \] \[ \hat{c}_{mk} = \frac{G_o - \hat{x}_{95}}{\bar{x} - \hat{x}_{95}} \tag{2.32} \] ### Fähigkeitskenngr Werte für einseitig nach unten toleriertes Merkmal: \[ \hat{c}_{mk} = \frac{\hat{x}_{95} - G_l}{\hat{x}_{95} - \bar{x}_u} \tag{2.33} \] wobei - \(\bar{x}_o, \bar{x}_u\) : Schätzwerte der oberen und unteren Streubereichsgrenze - \(\hat{x}_{95}\) : Schätzwert des 50%-Quantils Im Fall von Einzelwerten ist \[ \hat{x}_{95} = \bar{x} \tag{2.34} \] wobei \(\bar{x} \): Medianwert, der Wert, der in der Mitte einer geordneten Folge von Messwerten liegt. Die Schätzung der Streubereichsgrenzen erfolgt durch \[ \bar{x}_o \ \bar{x}_u = \bar{x}_c \pm k \cdot \frac{R}{2} \tag{2.35} \] wobei ``` Image Analysis: Here’s a comprehensive examination of the attached visual content based on the specified aspects: ### Text Analysis 1. **Localization and Attribution:** - **Page Number and Document Identifier:** - "Seite 16" (Page 16) - "VW 101 30: 2005-02" (Document Identifier: VW 101 30, February 2005) 2. **Text Extraction:** - **Section Title:** - "3.2.2 Fähigkeitsermittlung bei nicht definierten Verteilungsmodellen" - **Introduction Paragraph:** - "Lässt sich einem Fertigungsmerkmal kein passendes Verteilungsmodell zuordnen, oder widersprechen die Messwerte der entnommenen Stichprobe dem angenommenen Verteilungsmodell, so erfolgt eine wertungsfreie Schätzung der Fähigkeitskennwerte nach der Spannweitenmethode in der folgenden modifizierten Form unter Berücksichtigung des Stichprobenumfangs" **Explanatory Notes:** - Text clarifies that the section covers methods to estimate capability indices when no predefined distribution models are available, using a range-based method considering sample size. 3. **Equations and Descriptions:** - Several equations labeled from (2.29) to (2.35) describe calculations for capability indices. Here are brief descriptions: 1. **Equation (2.29) and (2.30):** - Capability indices for two-sided tolerances. - Equations detail how to compute capability when upper and lower specification limits are available. 2. **Equation (2.31) and (2.32):** - Capability indices for one-sided characteristics with a natural lower bound zero. - Details on how to compute capability when only the lower specification limit is present. 3. **Equation (2.33):** - Capability index for one-sided characteristics with a defined lower limit. - Detailed computation for such cases. 4. **Equation (2.34):** - Explains the median value (x̄) as the central value of a sorted series of measurements. 5. **Equation (2.35):** - Estimates of the upper and lower range limits considering standard deviation and mean. **Annotation (5):** - Provides additional context about simplified representations for compatibility with previous VW methods. ### Diagram and Chart Analysis 4. **Diagram and Chart Analysis:** - No diagrams or charts are present in the document image. ### Produkt Analysis 5. **Product Analysis:** - No specific products are depicted. ### Anomaly Detection 6. **Anomaly Detection:** - No anomalies or unusual elements detected in the image. All elements seem to be standard for technical documentation. ### Color Analysis 7. **Color Analysis:** - The document is largely monochromatic, consisting of black text on a white background. This high-contrast color scheme is standard for technical and academic papers, aiding readability and focus on the content without distractions. ### Perspective and Composition 8. **Perspective and Composition:** - **Perspective:** - The image is taken from a flat, straightforward perspective typical of scanned or digitally created documents. - **Composition:** - The text is arranged in a structured, left-justified format, enhancing readability and clarity. - Equations are properly formatted and placed in-line, making them easy to follow. ### Contextual Significance 9. **Contextual Significance:** - **Overall Document:** - This section likely belongs to a larger document discussing quality control and capability assessment methods in manufacturing processes. - The equations and explanations are significant for professionals dealing with quality assurance, ensuring accurate capability measurements. ### Metadata Analysis 10. **Metadata Analysis:** - No metadata is visible within the provided image. ### Tables 11. **Tables:** - No tables are present in the image. This organized analysis covers the textual and visual elements present in the provided document image, focusing on content extraction and contextual understanding. #################### File: VW%2010130_DE.pdf Page: 20 Context: #### 4. **Text Analysis**: - **Extracted Text**: ``` Seite 20 VW 101 30: 2005-02 3.4 Statistische Tests Die Messwerte einer Maschinenfähigkeitsuntersuchung dürfen in der Regel keine - unerwartet große Abweichung einzelner Messwerte (Ausreißer) gegenüber der Streuung der anderen Messwerte, - signifikante Änderung der Fertigungsanlage während der Stichprobenentnahme und - signifikante Abweichung vom erwarteten Verteilungsmodell aufweisen. Anderenfalls ist mit zusätzlichen systematischen Einflüssen auf die Fertigung zu rechen. Für Dieses Verhalten sollten dann die Ursachen bekannt und deren Wirkung akzeptabel sein, um die Voraussetzung eines sicheren Fertigungsprozesses zu erfüllen. Zur Überprüfung der oben genannten Kriterien sind daher bei einer Maschinenfähigkeits Untersuchung entsprechende statistische Tests anzuwenden.Da diese Tests in Normen und Standardwerken der Statistikliteratur ausdrücklich beschrieben sind, werden sie in folgenden nur mit Hinweise angegeben.. Folgende Tests sind im Rahmen einer Maschinenfähigkeitsuntersuchung durchzuführen: - Test auf Ausreißer mittels verteilungsunabhängigen Test nach Hampel in modifizierter Form (siehe VW 10133) - Test auf Änderung der Fertigungsanlage mittels verteilungsunabhängigen Run-Testnach Swed-Eisenhard (siehe [1]) - Test auf Abweichung von der Normalverteilung nach Epps-Pulley (siehe ISO 5479) - Test auf Abweichung von einem beliebigen festgelegten Verteilungsmodell mittels Chiquadrat-Test (siehe [1]) Die statistischen Tests laufen alle nach dem folgenden Schema ab: -Aufstellen der Nullhypothese H0 und der Alternaibhypothese Hi ,z.B. Ho: Die Grundgesamtheit der Messwerte des betrachteten Merkmals ist nicht normalverteilt H1 : Die Grundgesamthe fit der Messwerte des betrachteten Merkmals ist nicht normalverteilt - Festlegen der Aussaugewahrscheinlichkeit γ = F 1 - a oder Irrtumswahrscheinlichkeit α - Aufstellen der Formel für die Prüfgröße - Berechnen des Prüfwertes aus den Stichprobenwerten nach der Prüffiörsnen der - Ermifn des Schwellenwertes des Testverteilung - Vergleich des Prüfwertes mit dem Schwellenwert zur Entscheidung, ob ein Widerspruch zur Nullhypothese vorliegt und damit die Alternativhypothese gilt Zu Beachten ist, dass bei einem statistischen Test mit der angegebenen Aussaugewahrscheinlichkeit g gegebenenfalls nur ein Widerspruch zur Nullhypothese nachgewiesen werden kann, z.B. es dass eine signifikante Abweichung der Messwerte von einer normalverteilten Grundgesamtheit vorliegt. Ergibt sich aus dem Testergebnis kein Widerspruch zur Nullhypothese, so 1st dies keine Bestätigung für die Gültigkeit der Nullhypothese. Es lässt sich also in diesen Fall mit der angegebenen Aussaugewahrscheinlichkeit z.B nicht nachweisen, dass eine normalverteilte Grundgesamtheit nie vorliegt. Man entscheidet sich dann in Analogie zum Testprinzip „Im Zweifel für den Angeklagten" lediglich für die Annahme der Nullhypothese. Durch die Irrtumswahrscheinlichkeit W, wird das Risiko angegeben, aufgrund des Testergebnisses die Nullhypothese zu verwerfen, obwohl sie zutrifft (a-Risiko). Für dieIr Tumswahrscheinlichkeit kann nun aber nicht einfach ein beliebig kleiner Wert.festgelegt werden, denn dadurch würde z.B: das Risiko stiegen, eine tatsächliche Abweichung von einer Normalverteilung nicht zu entdecken (β-Risiko). ``` - **Text Analysis**: This document seems to be a technical or academic text discussing statistical tests for a machine capability study. The following statistical tests are mentioned and described briefly: - **Outlier Test**: Modified Hampel test. - **Change of Production Facility Test**: Run-Test according to Swed-Eisenhard. - **Deviation from Normal Distribution Test**: Epps-Pulley Test. - **Deviation from a Specified Distribution Model**: Chi-Square Test. The text also outlines the general schema for these statistical tests: - Establishing the null hypothesis \( H_0 \) and alternative hypothesis \( H_1 \). - Determining the significance level (\(\gamma\) or \(\alpha\)). - Setting up the formula for the test statistic. - Calculating the test statistic from sample values. - Comparing the test statistic to the critical value to decide whether to reject \( H_0 \). - **Significance**: This extracted text provides guidelines and procedures for performing statistical tests to analyze the capability of machines in a production process. It is of critical importance for quality control and assurance within manufacturing practices. This document is intended for professionals involved in quality and manufacturing engineering, aiming to ensure the precision and reliability of production processes by applying statistical methods. #################### File: VW%2010130_DE.pdf Page: 21 Context: # 4 Durchführung einer Maschinenfähigkeitsuntersuchung Eine Maschinenfähigkeitsuntersuchung (MFU) ist nach dem in den Bildern 9 bis 11 dargestellten Ablauf durchzuführen. ## Ablauf einer Maschinenfähigkeitsuntersuchung - **Start** - 4.1 Prüfmittelanwendung - 4.2 Stichprobenentnahme ### Bedingungen zur MFU erfüllt? - ja - 4.3 Sonderregelung für eingeschränkte MFU - 4.4 Datenauswertung - 4.5 Dokumentation - 4.6 Ergebnisbeurteilung - ja: Auswertungswiederholung - nein: - nein - Maschine fähig? - ja: 4.7 Maschinenoptimierung - machbare Maschinenoptimierung - nein: 4.8 Behandlung nicht fähiger Maschinen - **Ende** Image Analysis: ### Analysis of Visual Content #### 1. Localization and Attribution: - **Image 1**: This is the only image in the provided content. #### 4. Text Analysis: - **Detected Text**: - Title: "Durchführung einer Maschinenfähigkeitsuntersuchung" - Context: It guides on how to execute a machine capability investigation as per images 9 to 11. - Key Steps in Flowchart: - Start - 4.1 Prüffittelanwendung - 4.2 Stichprobenentnahme - Bedigungen zur MFU erfüllt (ja/nein) - 4.3 Sonderregelung für eingeschränkte MFU - 4.4 Datenauswertung - 4.5 Dokumentation - 4.6 Ergebnisbeurteilung - Auswertungswiederholung (ja) - Maschine fähig (ja/nein) - 4.7 Maschinenoptimierung - machbare Maschinenoptimierung (ja/nein) - 4.8 Behandlung nicht fähiger Maschinen - Ende - Bildunterschrift: "Bild 9 - Ablauf einer Maschinenfähigkeitsuntersuchung" - **Significance**: - The text provides a structured approach for conducting machine capability analysis. - It outlines a flowchart of steps and decisions needed to assess and document the machine's capability. #### 5. Diagram and Chart Analysis: - **Diagram Type**: Flowchart - **Explanation**: - Starts with a testing method application (4.1 Prüffittelanwendung). - Includes sampling (4.2 Stichprobenentnahme) and then checks if conditions for machine capability investigation (MFU) are met. - If conditions are not met, a special regulation for limited MFU is applied (4.3 Sonderregelung für eingeschränkte MFU). - If conditions are met, it proceeds to data evaluation (4.4 Datenauswertung), documentation (4.5 Dokumentation), and result assessment (4.6 Ergebnisbeurteilung). - Based on the assessment, either the evaluation is repeated or the machine is deemed capable. - If incapable, machine optimization (4.7 Maschinenoptimierung) or treatment of non-capable machines (4.8 Behandlung nicht fähiger Maschinen) is executed. - **Axes, Scales, and Legends**: - The flowchart does not include traditional axes or scales but uses directional arrows and decision boxes to guide the workflow. #### 8. Color Analysis: - **Color Composition**: - The flowchart is monochrome, predominantly black text and lines on a white background. - This format emphasizes clarity and readability. #### 9. Perspective and Composition: - **Perspective**: - The flowchart is viewed from a standard, straight-on perspective. - **Composition**: - The elements are arranged linearly from top to bottom, guiding the reader through the process with decision points branching left or right. #### 12. Graph and Trend Analysis: - **Trends**: - The decision-based structure indicates a systematic investigation process with multiple checks and corrective actions. - Trends show the importance of conditional checks and optimization steps in ensuring machine capability. #### Ablaufprozesse (Process Flows): - **Process Flow Description**: - The flowchart depicts a step-by-step process flow for machine capability investigation. - It includes initialization, sampling, condition checks, evaluation, documentation, and decision-making for optimization or treatment of non-capable machines. #### Prozessbeschreibungen (Process Descriptions): - **Detailed Steps**: - Each step (like Prüffittelanwendung, Stichprobenentnahme, etc.) describes a distinct phase in the machine capability investigation process. - Decision points guide whether the machine can proceed to the next step or requires special attention. #### Typen Bezeichnung (Type Designations): - **Types/Categories**: - The flowchart categorizes steps into application, sampling, condition check, data evaluation, documentation, result assessment, and optimization/treatment. #### Trend and Interpretation: - **Trends Identification**: - The flowchart emphasizes corrective actions and repetitions to ensure machine readiness. - **Interpretation**: - The iterative nature shows the focus on thorough evaluation and readiness of machinery before declaring it capable. This comprehensive analysis elucidates the workflow of a machine capability investigation as depicted in the provided flowchart, highlighting the systematic approach and decision-making involved in the process. #################### File: VW%2010130_DE.pdf Page: 28 Context: # 4.6 Ergebnisbeurteilung Ob eine Maschine bezüglich der Fertigung eines betrachteten Merkmals als fähig bewertet werden kann, hängt von der folgenden Ergebnisbeurteilung ab: Ergebnis bei einer Auswertung \(A_{seri}\) ist der Ursache zu klären. Ausreißer dürfen nur durch fehlerhafte Messverfahren verursacht oder durch den Ausreißer selbst aufgrund der festgelegten Toleranzschwelle nicht fähig zu beurteilen. Würden mehr als 5% der ersten Messwerte für mehr als 2 Werte als Ausreißer identifiziert, dann ist zu untersuchen, ob der Prüfprozess fehlerhaft ist. Die MFU ist dann gegebenenfalls zu wiederholen. Hat sich die Fertigungsbeurteilung während der Stichprobenahme signifikant geändert, so muss in der Regel deren Ursache bekannt und deren Wirkung akzeptabel sein, um die Voraussetzungen zur Maschinenfähigkeit zu erfüllen (Annahme siehe letzten Absatz dieses Abschnitts). Liegt eine unzulässige Ausschussrate vor oder signifikante Abweichung vom festgelegten Verteilungsmodell vor und lässt sich kein anderes Verteilungsmodell dem betrachteten Merkmal widerspruchsfrei zuordnen, so muss die Ursache bekannt und die Wirkung akzeptabel sein. Sofern nichts anderes vereinbart, müssen die ermittelten Fähigkeitenkennwerte bei einem effektiven Stichprobenumfang von \(n_s \geq 50\) (d.h. ohne Ausreißer) die Forderung \[ \hat{c}_{mk} \geq 2,20 \quad \text{und} \quad \hat{c}_{mk} \geq 1,67 \] für ein zweisigentlich toleriertes Merkmal \[ c_{mk} \geq 1,67 \] für ein einseitig toleriertes Merkmal erfüllen, um die Maschine als fähig beurteilen zu können. Dabei sind zum Vergleich mit den Grenzwerten die ermittelten Fähigkeitenkennwerte auf zwei Stellen nach dem Komma zu runden, so dass z.B. ein ermittelter Wert von \(\hat{c}_{mk} = 1,665415\) mit der sich daraus ergebenen Rundung von 1,67 die Forderung noch erfüllt. Bei einem effektiven Stichprobenumfang \(20 \leq n_s < 50\) sind entsprechend größere Grenzwerte einzuhalten. Für einige Stichprobenumfänge sind in Tabelle 3 die angesetzten Grenzwerte angegeben. Bei Vereinbarung anderer Grenzwerte darf der Basis von \(n_s \geq 50\) sind die entsprechenden angepassten Grenzwerte nach Formel (3.7) bis (3.9) zu ermitteln. ## Tabelle 3 - Grenzwerte zur Maschinenfähigkeit für \(20 \leq n_s \leq 50\) | \(n_s\) | \(\hat{c}_{mk}\) | \(\hat{c}_{mk}\) | |---------|-------------------|-------------------| | 20 | 2,28 | 1,93 | | 25 | 2,19 | 1,85 | | 30 | 2,13 | 1,79 | | 35 | 2,08 | 1,75 | | 40 | 2,05 | 1,72 | | 45 | 2,02 | 1,70 | | 50 | 2,00 | 1,67 | Ergibt sich ein Fähigkeitskennwert, der kleiner ist als der entsprechende Grenzwert, dann ist die Maschine als nicht fähig zu beurteilen. Image Analysis: **Localization and Attribution:** - **Image 1**: Entire page of the document provided. **Text Analysis:** - **Extracted Text:** - Title: "4.6 Ergebnisbeurteilung" - Main body of text: Several paragraphs discussing the evaluation of manufacturing processes and the determination of machine capability. Specific statistical values and their interpretations are provided. - Footnote: Provides additional context or exceptions regarding certain measurements. - Table: "Tabelle 3 - Grenzwerte zur Maschinenfähigkeit für 20 ≤ n₀ ≤ 50" listing various sample sizes (n₀) and corresponding values (c̅m and c̅mk). - **Content Analysis:** - The section is concerned with evaluating whether a machine can be deemed capable of a particular manufacturing process. - Details the criteria for identifying and addressing outliers in measurements. - Discusses changes in sampling size and their impacts on evaluations. - Provides specific statistical thresholds (e.g., c̅m ≥ 2.20 and c̅mk ≥ 1.67) that must be met for different categories. - Footnote emphasizes how minor tolerances (T < 5µm) can lead to significant deviations. **Diagram and Chart Analysis:** - **Table Analysis:** - **Title:** "Tabelle 3 - Grenzwerte zur Maschinenfähigkeit für 20 ≤ n₀ ≤ 50" - **Columns:** - n₀: Sample size - c̅m: Capability index for two-sided tolerance - c̅mk: Capability index for one-sided tolerance - **Values:** Presents specific values for different sample sizes ranging from 20 to 50, indicating the required capability indices (c̅m and c̅mk) for determining machine capability. **Analyzed Table Content:** | n₀ | c̅m | c̅mk | |----|-------|------| | 20 | 2.28 | 1.93 | | 25 | 2.19 | 1.85 | | 30 | 2.13 | 1.79 | | 35 | 2.08 | 1.75 | | 40 | 2.05 | 1.72 | | 45 | 2.02 | 1.70 | | 50 | 2.00 | 1.67 | - **Key Insights:** - The table sets minimum thresholds for machine capability (c̅m and c̅mk) to ensure reliability and accuracy. - As the sample size (n₀) increases, the required capability indices generally decrease, indicating tighter control requirements for smaller sample sizes. **Process Descriptions:** - The process of evaluation involves: - Identifying and clarifying causes for outliers. - Adjusting sampling sizes and evaluating their significant impact on the production process. - Using set statistical criteria to determine machine capability. - Special considerations for measurements with very small tolerances (e.g., T < 5µm). **Perspective and Composition:** - **Perspective:** The text is taken from a straight-on perspective, typical for document scanning. - **Composition:** The document is segmented into sections with clear headings, paragraphs, and a table, making it structured and easy to follow. **Contextual Significance:** - **Overall Message:** This document section is a technical write-up on how to evaluate and confirm the capability of machines in a manufacturing setting, emphasizing the importance of statistical measures and precise evaluation criteria. - **Contribution:** Provides standardized methods for assessing machine performance, ensuring consistency and reliability in manufacturing processes. The table aids in quick reference for required capability indices. This analysis covers the relevant aspects of the provided document image, focusing on the detailed content and its significance for determining machine capability in a manufacturing context. #################### File: VW%2010130_DE.pdf Page: 29 Context: ```markdown # 4.7 Maschinenoptimierung Für den Fall, dass die Maschinenfähigkeit bezüglich des untersuchten Merkmals nicht nachgewiesen werden konnte, sind Maßnahmen zur Maschinenoptimierung erforderlich. Dazu sind die entsprechendenden Einflüsse zu identifizieren (z.B. mittels statistischer Versuchsmethodik DOE) und zu beseitigen. # 4.8 Behandlung nicht fähiger Maschinen Lässt sich die Maschinenfähigkeit mit wirtschaftlich vertretbaren Maschinenoptimierungen nicht erreichen, so sollte zunächst mit Hilfe der statistischen Toleranzenrechnung nach VW 01057 untersucht werden, ob eine Toleranzerweiterung zur Erreichung der Maschinenfähigkeit möglich ist. Ist auch durch diese Maßnahmen keine Maschinenfähigkeit zu erreichen, so ist zu entscheiden, ob die Maschine nach schriftlich vereinbarten Sonderregelungen abgenommen wird oder nicht. Diese Sonderregelungen sollten folgende Punkte enthalten: - Begründungen für die Abnahme - Risiko- und Kostenbetrachtungen - gegebenenfalls einschränkende Fertigungs- und zusätzliche Prüfbedingungen - Angabe der Verantwortlichkeit ``` Image Analysis: ### Comprehensive Examination of the Attached Visual Content #### 1. Localization and Attribution - The visual content is a single page document. #### 2. Object Detection and Classification - **Detected Objects and Categories:** - Textual Content: The page contains typed German textual content. - Sections/Sub-sections: The document is organized into distinct sections and sub-sections. - Headers and Bullet Points: The document uses sections and bullet points to organize information. #### 3. Scene and Activity Analysis - **Scene Description:** - The scene is a static page of a document containing structured written content. - **Activities Taking Place:** - There is no dynamic activity; the content is purely informational. #### 4. Text Analysis - **Detected Text:** - Header: "Seite 29 VW 101 30: 2005-02" - Section Header: "4.7 Maschinenoptimierung" - Section Header: "4.8 Behandlung nicht fähiger Maschinen" - Main Text Content: Provides information on machine capability, machine optimization, and handling of non-capable machines. Bulleted points list actions to be taken. - **Content Analysis:** - **Section 4.7 Maschinenoptimierung:** - Discusses steps required for machine optimization if machine capability regarding the examined characteristic could not be proven. - Recommends identifying influencing factors and eliminating them. - **Section 4.8 Behandlung nicht fähiger Maschinen:** - Addresses how to handle machines that are not capable (non-capable machines). - Suggests investigating the possibility of statistical tolerance calculation according to VW 01057 or tolerance expansion to achieve machine capability. - Lists points to consider in special regulations for non-capable machines: - Reasons for acceptance - Risk and cost considerations - Possible restrictive manufacturing conditions and additional testing conditions - Indication of responsibility #### 5. Diagram and Chart Analysis - Not applicable. #### 6. Product Analysis - Not applicable. #### 7. Anomaly Detection - No anomalies are detected. The document appears to be structured and organized according to standard document formatting. #### 8. Color Analysis - The document is primarily in grayscale, consisting of black text on a white background. #### 9. Perspective and Composition - **Perspective:** - The document is viewed from a straight, head-on perspective typical of scanned or digitally created documents. - **Composition:** - The document composition includes a header, section titles, main text, and bullet points. - Text is aligned to the left margin with consistent spacing and font size. #### 10. Contextual Significance - **Overall Document Analysis:** - This page appears to be part of a technical document or manual likely related to Volkswagen (indicated by the header "VW 101 30: 2005-02"). - **Contribution to Overall Message:** - The page provides detailed guidelines on improving machine capability and handling non-capable machines, essential for maintaining and improving manufacturing processes. #### 12. Graph and Trend Analysis - Not applicable. #### 13. Graph Numbers - Not applicable. #### Process Descriptions - **Section 4.7:** - Describes a process for optimizing machines, involving identification and elimination of influences. - **Section 4.8:** - Outlines steps for investigating and handling non-capable machines, including statistical tolerance evaluation and consideration of regulatory factors. #### Trend and Interpretation - A clear trend toward structured problem-solving and process optimization in machine management. #### Tables - Not applicable. #################### File: VW%2010130_DE.pdf Page: 30 Context: # 5 Beispiele ## Beispiel 1: Wellenmittelmesser mit einem Nennmaß von 20 mm, einem Mindestmaß von \(G_L = 19.7 \, \text{mm}\) und einem Höchstmaß von \(G_H = 20.3 \, \text{mm}\). Aus den \(n = 50\) Messwerten der Stichprobe ergeben sich durch die statistischen Tests keine auffälligen, keine signifikante Lageänderung und keine signifikante Abweichung von einer zu erwartenden Normalverteilung. Es wurden folgende Stichprobenkennwerte ermittelt: \[ \overline{x} = 20.05 \quad \text{und} \quad s = 0.05 \] Es ergeben sich daher nach Formel (2.11) aus den Stichprobenkennwerten die folgenden Schätzwerte der Streuungsgrenzen für die normalverteilte Grundgesamtheit: \[ x_{0.135} = \overline{x} - 3 \cdot s = (20.05 - 3 \cdot 0.05) \, \text{mm} = 19.9 \, \text{mm} \] \[ x_{99.865} = \overline{x} + 3 \cdot s = (20.05 + 3 \cdot 0.05) \, \text{mm} = 20.2 \, \text{mm} \] Und daraus ergeben sich schließlich die folgenden Fähigkeitskennwerte: \[ \hat{C}_m = \frac{G_H - G_L}{x_{99.865} - x_{0.135}} = \frac{20.3 - 19.7}{20.2 - 19.9} = \frac{0.6}{0.3} = 2.0 \] \[ \hat{C}_{mk} = \min \left( \frac{G_H - \overline{x}}{x_{99.865} - \overline{x}}, \frac{\overline{x} - G_L}{\overline{x} - x_{0.135}} \right) = \min \left( \frac{20.3 - 20.05}{20.2 - 20.05}, \frac{20.05 - 19.7}{20.05 - 19.9} \right) \] \[ = \min \left( \frac{0.25}{0.15}, \frac{0.35}{0.15} \right) = \min \left( 1.67, 2.33 \right) = 1.67 \] Durch die ermittelten Fähigkeitskennwerte wird somit nachgewiesen, dass die Maschine bezüglich des betrachteten Wellenmitteldurchmessers die Fähigkeitsanforderungen gerade noch erfüllt. **Abbildung 12**: Beispiel einer Fertigung mit dem Modell einer Normalverteilung und den Fähigkeitskennwerten \(C_m = 2.0\) und \(C_{mk} = 1.67\). Image Analysis: ### Analysis of Attached Visual Content #### 1. Localization and Attribution - **Image 1:** Located on page 30 of the document. The page number and document identifier are found at the top of the page. - **Image 2:** A diagram at the bottom of the page. The diagram includes a histogram with a normal distribution curve and descriptive text below it ("Bild 12 - Beispiel..."). #### 2. Object Detection and Classification - **Image 1:** - Text content consisting of an example problem involving statistical analysis of a waveform diameter. - Mathematical formulas and calculations. - A diagram labeled "Bild 12" illustrating a normal distribution. - **Image 2 (Diagram Analysis):** - Histogram showing data distribution. - A normal distribution curve overlaying the histogram. - Axes labeled "Häufigkeit" (Frequency) and "Messwert" (Measurement value). #### 3. Scene and Activity Analysis - **Image 1:** The document appears to be structured as a technical or mathematical text, providing an example problem involving measurements and statistical evaluation. There are no physical activities taking place as the content is purely textual and illustrative. - **Image 2:** The histogram and normal distribution curve in the diagram visually represent a statistical analysis related to waveform measurements. #### 4. Text Analysis - The text includes German content and provides an example calculation involving diameter measurements of waveforms. It describes how to compute critical values and capability indices (\(\hat{c}_m\) and \(\hat{c}_{mk}\)). - Relevant text extracted: - Page header: "Seite 30" and "VW 101 30: 2005-02". - Section title: "5 Beispiele. Beispiel 1: Wellendurchmesser..." #### 5. Diagram and Chart Analysis - **Image 2:** - Histogram bars representing frequency distribution of measurement values. - Normal distribution curve with key points: Mean (\( \mu \)), \( x_{0.135\%} \), and \( x_{99.865\%} \). - Axes and Scales: - X-axis (Messwert): Ranges from 19.70 to 20.30 mm with key measurements (19.7, 19.75, ..., 20.3). - Y-axis (Häufigkeit): Represents the frequency but no specific numerical scale is provided. - Insights: - The machine's capability just meets the requirements (\( \hat{c}_m = 2.0 \) and \( \hat{c}_{mk} = 1.67 \)). #### 8. Color Analysis - Predominantly black and white. - The histogram bars are grey. - The normal distribution curve is black. - The minimal use of color directs attention primarily to the data presentation. #### 9. Perspective and Composition - The perspective is straightforward with a standard frontal view typical for technical and scientific documents. - Compositionally, the text provides detailed explanations and formulas, followed by a supporting diagram (histogram and normal curve) to visualize statistical results. #### 10. Contextual Significance - This document appears to be a technical standard or guideline, given its structured problem-solving approach and detailed statistical analyses. - The image (diagram) substantially supports the textual content, demonstrating the distribution of measurements and the machine's capability indices visually. #### 12. Graph and Trend Analysis - **Image 2:** - Trend: The histogram shows a roughly normal distribution of measurement frequencies around the mean value (~20.05 mm). - Key points: The graph identifies critical measurement points \( x_{0.135\%} \) and \( x_{99.865\%} \) and highlights capability indices suggesting whether the manufacturing process meets the required standards. #### 14. Tables - No explicit tables are present in this image. The table-like structure may include numerical or mathematical data calculated in different parts of the text. ### Additional Aspects - **Ablaufprozesse (Process Flows) and Prozessbeschreibungen (Process Descriptions):** - The text details a process for evaluating waveform diameter measurements by stating procedures and calculations based on statistical analysis. - **Typen Bezeichnung (Type Designations):** - The document specifies different types of statistical values (e.g., \( \hat{\mu}, d = \pm 0.05 \)) and capability indices. - **Trend and Interpretation:** - The machine's capability values indicate near compliance with the required manufacturing standards. This comprehensive analysis contains a detailed examination of each requested aspect of the attached visual content. #################### File: VW%2010130_DE.pdf Page: 34 Context: **Text Analysis:** 1. **Detected Text:** - Title: "VW 101 30: 2005-02" - Page Number: "Seite 34" - Sections: - **A**: - Absolute Häufigkeit a: Seite 10, 17 - Absolute Summenhäufigkeit A: Seite 17 - α-Risiko: Seite 20 - Alternativhypothese: Seite 20 - Angepasste Fähigkeitsgrenzwerte: Seite 19, 28 - Ausreißer: Seite 20, 26 - Aussagewahrscheinlichkeit γ: Seite 20, 26 - **B**: - Bedingungen zur MFU: Seite 24 - β-Risiko: Seite 20 - Betragsverteilung 1. Art: Seite 5, 11 - Betragsverteilung 2. Art: Seite 7, 13 - Betriebswarme Maschine: Seite 4 - **C**: - Capability: Seite 3 - Chi-Quadrat-Verteilung: Seite 18 - **D**: - Datenauswertung: Seite 25 N - Dichtefunktion f(x): Seite 4 - Dokumentation: Seite 27 - **E**: - Eingeschränkte MFU: Seite 25 P - Effektiver Stichprobenumfang ne: Seite 10, 24 - Epps-Pulley-Test: Seite 20, 26 Pri - Ergebnisbeurteilung: Seite 28 - Erwartungswert der v-Verteilung dn: Seite 17 - Exzentrizität z: Seite 7 Q - **F**: - Fähigkeitskennwerte: Seite 18, 28 R - Fähigkeitsermittlung: Seite 8 - Fähigkeitskennwerte cn und cmk: Seite 3, 9 - Fähigkeitsgrenzwerte: Seite 18, 28 - Fertigungslage: Seite 3, 28 - Fertigungsauslegung: Seite 3, 8 radiale - Fertigungsreinfolge: Seite 24 - Fertigungsgrad: Seite 18 - **G**: - Grenzwerte zur Maschinenfähigkeit: Seite 18, 28 - **H**: - Hampel-Test: Seite 20 - Häufigkeitsverteilung: Seite 10, 17 - Höchstmaß Go: Seite 3, 9 - **I**: - Irrtumswahrscheinlichkeit α: Seite 20 - **K**: - Klassenbreite Δx: Seite 17 - Klassierte Messwerte: Seite 10, 17 - Korrekturfaktor k: Seite 17 - **L**: - Lage: Seite 3 - **M**: - Maschinenoptimierung: Seite 29 - Maschinenstörungen: Seite 24 - Medianwert: Seite 16 - Merkmalart: Seite 4, 25 - Merkmalswert: Seite 3 Merkmethod - Mesmethode: Seite 24 - Mindestmaß Gu: Seite 3, 9 - Mischverteilung: Seite 26, 32 - Mittelwert μ: Seite 4, 10 - **N**: - Normalverteilung: Seite 4, 10 - Nullhypothese: Seite 20 - Nullpunktverschiebung: Seite 6 - **P**: - Parameter einer Verteilung: Seite 3 - Prüfgröße: Seite 20, 26 - Prüfwert: Seite 20 - Prüfmitteleanwendung: Seite 24 - **Q**: - Quantil: Seite 9 - - der stardarisierten Normalverteilung: Seite 18 - - der Chi-Quadratverteilung: Seite 18 - **R**: - R: Seite 28 - Rayleigh-Verteilung: Seite 7 - radiale Abweichung r: Seite 7 - Rohteillage: Seite 24 - Rundung von Fähigkeitswerten: Seite 18 R.-Test - Run-Test: Seite 20 - The text indicates a comprehensive index, listing various statistical terms, methods, and related concepts, each tagged with corresponding page numbers. **Contextual Significance:** - This page appears to be an index from a statistical or technical manual, potentially related to quality management, data analysis, or a specific standard (as indicated by "VW 101 30"). - The structured layout and extensive vocabulary suggest it is meant for professional use, likely by engineers, statisticians, or quality control managers. There were no other aspects (such as specific objects, scenes, diagrams, or charts) presented within this image, primarily focusing on text indexing. #################### File: 12533161829500_tra___wsk_016_862_ae_1_v1_1%281%29.pdf Page: 3 Context: # Requirements for Sealing Surfaces **WSK.016.862.AE** **Version 1.0** ## Contents 1. [Scope](#scope) ............................................................................................... 4 2. [Surface quality for sealing surfaces with specified cross-milled surface structure](#surface-quality) ................. 4 3. [Sealing surface zones](#sealing-surface-zones) ................................................. 6 4. [Cross-milled surface structure design](#cross-milled-surface-structure-design) ........................................... 7 4.1 [Cross-milled surface structure parameters](#cross-milled-surface-structure-parameters) .............................. 7 4.2 [Cross-milled surface structures not compliant with specifications](#cross-milled-surface-structures-not-compliant) ............. 9 4.3 [Cross-milled surface structures compliant with specifications](#cross-milled-surface-structures-compliant) .......... 9 5. [Measurement-related recording and evaluation of the cross-milled surface structure quality criteria](#measurement-related-recording) ............... 10 6. [Compliance with the cross-milled surface structure characteristic of "permissible depth difference"](#compliance) .............................................................................. 12 7. [Cross-milled surface structure simulation, permissible deviations of the angle and grid size parameters](#cross-milled-surface-structure-simulation) ....................... 13 8. [Production recommendation for achieving the required cross-milled surface structures and surface roughnesses](#production-recommendation) ......................... 14 --- **F. Röthlingshöfer, I/VEM-514** **Version 1.0 dated 2015-04-10** **Requirements for Sealing Surfaces** **Page 3 of 14** The English translation is believed to be accurate. In case of discrepancies, the German version controls. The decimal sign in non-editable figures may be a comma or a point on the line. The decimal point is used consistently within the running text. Image Analysis: ### Comprehensive Examination of the Visual Content #### 1. Localization and Attribution: - **Image Number:** 1 - **Location:** The image occupies a full page. #### 2. Text Analysis: - **Detected Text:** **Header:** ``` VOLKSWAGEN Anforderungen/Supplier Requirements for Sealing Surfaces WSK.016.862.AE Version 1.0 ``` **Contents Section:** ``` Contents Versioning ......................................................................................................................................................... 2 Contents ............................................................................................................................................................. 3 1. Scope ............................................................................................................................................................ 4 2. Surface quality for sealing surfaces with specified cross-milled surface structure .............. 4 3. Sealing surface zones ............................................................................................................................... 6 4. Cross-milled surface structure design ................................................................................................... 7 4.1. Cross-milled surface structure parameters ....................................................................................... 7 4.2. Cross-milled surface structures not compliant with specifications ........................................... 9 4.3. Cross-milled surface structures compliant with specifications .................................................... 9 5. Measurement-related recording and evaluation of the cross-milled surface structure quality criteria: .................................................................................................................................................10 6. Compliance with the cross-milled surface structure characteristic of "permissible depth difference" .............................................................................................................................................................12 7. Cross-milled surface structure simulation, permissible deviations of the angle and grid size parameters ....................................................................................................................................................13 8. Production recommendation for achieving the required cross-milled surface structures and surface roughnesses .........................................................................................................................................14 ``` **Footer:** ``` F. Röthlingshöfer, I/EM-514 Version 1.0 dated 2015-04-10 Requirements for Sealing Surfaces Page 3 of 14 The English translation is believed to be accurate. In case of discrepancies, the German version controls. The decimal sign in non-editable figures may be a comma or a point on the line. The decimal point is used consistently within the running text. ``` - **Content Analysis:** - **Header Information:** It indicates that the document is about requirements for sealing surfaces provided by Volkswagen. The document is labeled with the identifier WSK.016.862.AE and is Version 1.0. - **Contents Section:** This section enumerates the chapters and topics covered in the document, with page numbers listed for ease of navigation. - Example Topics: - Scope - Surface quality for sealing surfaces with specified cross-milled surface structure - Sealing surface zones - Measurement-related recording and evaluation - Compliance with permissible depth difference - Production recommendations for achieving required surface structures, etc. - **Footer:** It includes the author or responsible party (F. Röthlingshöfer, I/EM-514), the version date (2015-04-10), page number (3 of 14), and a note about translation accuracy and decimal sign usage. #### 6. Contextual significance: - **Overall context:** This image appears to be taken from a technical document or manual detailing specifications and guidelines for achieving certain surface qualities in sealing surfaces. - **Contribution:** The "Contents" page provides an overview and structure for the reader to locate specific sections of interest within the document. It establishes the scope and detailed elements to be covered, facilitating ease of navigation and understanding of the document’s comprehensive nature. #### 7. Perspective and Composition: - **Perspective:** The image is taken from a top-down perspective, displaying a full page of a document. - **Composition:** The text is organized in a typical document format with sections, headings, subheadings, bullet points, and a footer, providing a clear and professional layout. #### 8. Metadata Analysis: - **Document Date and Creator Information:** The footer indicates that the document was created or last revised by F. Röthlingshöfer on April 10, 2015. ### Overall Summary: The visual content is a "Contents" page from a Volkswagen technical manual, structured to guide the reader through various topics concerning requirements for sealing surfaces. The document is detailed and meticulously organized, indicating a thorough approach typical of technical documentation. Key sections include scope, surface quality, sealing zones, structure design, measurement criteria, compliance, simulation, and production recommendations. #################### File: 12533161829500_tra___wsk_016_862_ae_1_v1_1%281%29.pdf Page: 12 Context: # Requirements for Sealing Surfaces **WSK.016.862.AE** **Version 1.0** ## 6. Compliance with the cross-milled surface structure characteristic of "permissible depth difference" For the reliable compliance with the cross-milled surface structure characteristic of "permissible depth difference of the intersecting machining grooves: 3 µm," the following premises must be fulfilled: 1. Realization of the shortest possible tool spindle and the shortest possible milling tool support 2. Ensuring spindle guidance without play or deformation 3. Ensuring a permanently precise orientation of the milling head (commission the manufacturer's precision option, set up milling head position for "0"; the perfect milling head position must not change [e.g., as the result of contamination, traces of wear, burrs, etc., at the milling tool shaft], even during tool changes) 4. The smallest possible allowance must be reserved for producing the cross-milled surface structure in the final smoothing operation. This allowance must be only slightly larger than the Rz value to be obtained and not exceed 5/100 mm. 5. All process boundary conditions increasing cutting pressure (such as high machining allowance, high advancing speed, increased cutting edge wear, etc.) must be prevented. 6. Implementing the optimal clamping strategy for the tool and preventing elasticities in the tool contact area 7. Vibrations within the machining system and in the area of the foundation of the machining system are impermissible in conjunction with all machining tools and process parameters. 8. Possible occurrence of damage to the spindle or bearings must be monitored regularly and with sufficiently high frequency. 9. If multiple cutting edges are used for producing cross-milled surfaces, they must be monitored regarding possible variations in wear. If adjustable indexable inserts (cartridges) are used, their precisely directional alignment must be ensured and displacement of the positions during operation prevented. 10. The correctness of the tool, system, and process strategies must be verified through analyses of the differences in depth of the intersecting machining grooves in the four quadrants: "upper sector," "lower sector," "left-hand sector," and "right-hand sector" of the particular flange area and at different times relative to the tool life. The four sectors to be measured must be marked in the drawing. --- **F. Röthlingshöfer, IVM-514** **Version 1.0 dated 2015-04-10** **Requirements for Sealing Surfaces** **Page 12 of 14** Image Analysis: ### Detailed Examination of the Visual Content #### 1. **Localization and Attribution:** - **Image 1:** - Only one page is present in this document, indicating it as "Image 1". #### 4. **Text Analysis:** - **Image 1:** - **Main Heading:** - "Requirements for Sealing Surfaces" - Document code: "WSK.016.862.AE" - Version: "1.0" - **Sub-heading:** - "6. Compliance with the cross-milled surface structure characteristic of 'permissible depth difference'" - **Body Text:** - Provides detailed guidelines for ensuring compliance with the characteristic of permissible depth difference of intersecting machining grooves, targeting a depth of 3 µm. The text outlines specific requirements, which are summarized as follows: 1. Shortest tool spindle and support. 2. Spindle guidance without play/deformation. 3. Permanent precise orientation of the milling head. 4. Smallest possible allowance for final smoothing operations. 5. Avoiding boundary conditions (cutting pressure, high advancing speed, etc.). 6. Optimal clamping strategy and preventing elasticities. 7. Prevent vibrations within the machining system. 8. Monitor spindle or bearing damage. 9. Use and monitor multiple cutting edges for variations in wear. 10. Verify the correctness of tools, systems, and processes. - **Footer Text:** - Author: "F. Röthlingshöfer, IEM-514" - Creation Date: "2015-04-10" - Document details: "Version 1.0 dated 2015-04-10" and "Requirements for Sealing Surfaces" #### 5. **Diagram and Chart Analysis:** - No diagrams or charts are present in this image. #### 6. **Product Analysis:** - No products are depicted in this image. #### 7. **Anomaly Detection:** - No anomalies or unusual elements observed in this image. #### 8. **Color Analysis:** - **Image 1:** - Mostly monochromatic, with a primary focus on black text on a white background. This color scheme emphasizes readability and a professional, formal document layout. #### 9. **Perspective and Composition:** - **Image 1:** - The document is presented in a standard top-down view, typical for paper or digital documents. The content follows a structured and logical flow from the header and sub-header to the main body of the text, ensuring clarity and ease of understanding. #### 10. **Contextual Significance:** - **Image 1:** - This document is likely a technical manual or a specification guide within an engineering or manufacturing context, specifically relating to the requirements for sealing surfaces. The inclusion of detailed procedural steps and specifications suggests its importance in ensuring product quality and consistency. #### 12. **Graph and Trend Analysis:** - No graphs are included in this image. #### 13. **Graph Numbers:** - No graphs are present to provide data points. #### Additional Aspects: **Ablaufprozesse (Process Flows):** - **Image 1:** - The document outlines required process steps and conditions to ensure compliance with surface machining characteristics. This highlights the process flow in machining operations for achieving the desired surface structure. **Prozessbeschreibungen (Process Descriptions):** - Detailed process descriptions are provided to meet the cross-milled surface structure characteristics. **Typen Bezeichnung (Type Designations):** - Types or categories mentioned include different sectors of the tool field: "upper sector," "lower sector," "left-hand sector," and "right-hand sector". **Trend and Interpretation:** - The trend in this document is towards precision, minimization of variability, and strict adherence to specified machining parameters to ensure quality in manufacturing practices. **Tables:** - No tables are included in this image. #################### File: Anfrage%20Mail.pdf Page: 1 Context: # Haas, Ulrich **Von:** Haug, Ralf **Gesendet:** Freitag, 13. September 2024 14:46 **An:** Haas, Ulrich **Cc:** Ruoff, Andreas; Kuck, Winfried; Haas, Sonja **Betreff:** Skoda MB SSP MGH und GGH Hallo Herr Haß, Wie gestern besprochen, anbei vorab unsere Anfrage Skoda MB SSP MGH und GGH: - Angebotspräsentation MAG MGH und GGH - Lastenheft Skoda MGH und GGH - Layout - Lastenheft Automation MAG - folgt [Link zum Dokument](https://netfiles.de/8f8adb200fa835316823b5850a55a7b7beef48d7b34e840feca03b49f6d;K319ImMY) Die besprochenen Punkte: - Traceability/Anbindung an Kundenrechner - Mobile Wartungsbühne mit/ohne elektr. Absicherung Versuchen wir mit dem Kunden zu klären. Freundlich grüßt / Best regards, Ralf Haug Projektleiter Verkauf Project Manager Auxiliary Equipment --- FFG Europe & Americas MAG IAS GmbH Salacher Straße 93 73034 Eislingen Germany tel: +49 71 61 805-1281 mobil: +49 1515 1676628 ralf.haug@mag-ias.com [www.mag-ias.com](http://www.mag-ias.com) Follow us on: [Instagram](https://www.instagram.com) | [LinkedIn](https://www.linkedin.com) | [YouTube](https://www.youtube.com) --- MAG IAS GmbH, Salacher Straße 93, DE-73034 Eislingen/Filis Sitz der Gesellschaft / Registered Seat: Eislingen/Filis Registergericht / Registration Court: AG Ulm HRB 720 186 Geschäftsführung / Managing Directors: Dr. Sebastian Schönning, Bin Sun --- ### Show **Summer 2024** 6–10 June | Coimbatore, India 22–26 July | Farnborough, UK 8 August | Sterling Heights, USA 10–14 September | Stuttgart, Germany [www.ffg-qa.com](http://www.ffg-qa.com) Image Analysis: ## Analysis of the Attached Visual Content ### 1. Localization and Attribution - **Image 1**: The main email content on the page, including the email header, introduction, and body text. - **Image 2**: The section with contact information, company logos, and social media links. - **Image 3**: The footer section, including visit invitations and legal information of the company. ### 2. Text Analysis #### **Image 1** - **Text Detected**: - **Header**: "Haass, Ulrich", "Von: Haup Ralf" - **Main Body**: ``` Hallo Herr Haas, Wie gestern besprochen anbei vorau unsere Anfrage Skoda MB SSP MGH und GGH - Anfragepräsentation MAG MGH und GGH - Lastenheft Skoda MGH und GGH - Layout - Lastenheft Automation MAG - folgt Die besprochenen Punkte: - Traceability/Anbindung an Kundelrecher - Mobile Wartungsbuhne mit/ohne elektr. Absicherung Versuchen wir mit dem Kunden zu klaren Freundlich grusst / Best regards, Ralf Haug Projektleiter Zukauf Project Manager Auxiliary Equipment ``` **Significance**: The email details a business communication, likely concerning project proposals and specific requirements for Skoda. It includes a presentation and various project deliverables such as a "lastenheft" (requirements specification). #### **Image 2** - **Text Detected**: ``` FFG Europe & Americas MAG IAS GmbH Salacher Straße 93 73054 Eislingen Germany Tel: +49 71 61 805-1281 Mobil: +49 1515 1676628 Follow us on Instagram, Linkedin, Youtube ``` **Significance**: This section provides essential contact details and links to social media channels for further engagement or inquiries. #### **Image 3** - **Text Detected**: ``` Show Summer 2024 Visit us 6-10 June Coimbatore, India 22-26 July Farnborough, UK 8 August Sterling Heights, USA 10-14 September Stuttgart, Germany MAG IAS GmbH, Salacher Straße 93, DE-73054 Eislingen/Fils Sitz der Gesellschaft / Registered Seat: Eislingen/Fils Registergericht / Registration Court: AG Ulm HRB 720 186 Geschäftsführung / Managing Directors: Dr. Sebastian Schöning, Bin Sun ``` **Significance**: This section outlines upcoming events and exhibitions where the company will be present, thus encouraging networking and showcasing opportunities. ### 3. Object Detection and Classification #### **Image 1**: - **Objects Found**: - Email header and body text. - Dates and paragraphs detailing a business proposal and the discussed points. #### **Image 2**: - **Objects Found**: - Company logos and icons for social media platforms. - Contact details (phone number, emails). #### **Image 3**: - **Objects Found**: - Invitation for various events with dates and locations. - Legal information about the company structure. ### 4. Scene and Activity Analysis - **Scene**: The composite scene over these three images represents a professional email and information document targeting business partners or potential customers. - **Activity**: The main activity is the transmission of important business-related information including project specifications, contact details, and event invitations. ### 5. Color Analysis - **Dominant Colors**: - **Email Content (Image 1)**: Primarily black and white, suggesting a focus on readability and professionalism. - **Contact Information Section (Image 2)**: Includes colors from various logos (blue, red, green), indicating brand identification. - **Event Invitation Section (Image 3)**: Uses a combination of green background and white text, making it inviting and attractive. ### 6. Perspective and Composition - **Perspective**: All images are presented in a straight-on view, typical for textual communication and document presentation. - **Composition**: - **Image 1**: Structured as an email with header, body text, and bullet points for clarity. - **Image 2**: Centrally aligned, providing clear and easy access to contact details. - **Image 3**: Designed with a promotional focus, highlighting events and legal information. ### 7. Contextual Significance - The entire visual content aims to convey professional communication regarding a project between MAG IAS GmbH and Skoda. It highlights the importance of networking, project specifications, and following up on discussed points. The inclusion of company contact details and event information further establishes credibility and invites further interaction. By addressing these key aspects, the analysis offers a detailed comprehension of the visual content and its significance. #################### File: MGH%20Anlage%2014%281%29.pdf Page: 5 Context: # Clamping MGH ## Remarks to clamping - Holes on the casting do not have the same axles with final machined holes on the done part. It is also relevant for indexes OP20. - Clamping pads for OP20 need to be milled to be perpendicular to indexes' axles. Image Analysis: ### Image Analysis #### 1. Localization and Attribution: - Identify and locate each image on the page: - Image 1: Top left section of the page, displaying a mechanical part with annotations. - Image 2: Bottom left section, showing a zoomed-in portion of the mechanical part. - Assign the corresponding image number to each analysis: - Image 1: Mechanical part with annotations. - Image 2: Zoomed-in portion. #### 2. Object Detection and Classification: - Image 1: - Object: Mechanical casting part. - Key Features: Various holes and clamping pads, annotated with dimensions (e.g., 13.5 mm, 103.5 mm) in green. - Image 2: - Object: Zoomed-in portion of the mechanical casting part. - Key Features: Detailed view of a section, possibly showing more intricate features relevant to clamping. #### 3. Scene and Activity Analysis: - Image 1: - Scene: Diagram of a mechanical casting part. - Activities: Dimensional analysis and annotations indicating specific measurements. - Image 2: - Scene: Close-up of a specific area of the casting part. - Activities: Focuses on a smaller section to highlight additional details relevant to clamping. #### 4. Text Analysis: - Detected Text: - Title: "Clamping MGH" - Subtitle: "Remarks to clamping" - Main Instructions: - "Holes on the casting do not have the same axles with final machined holes on the done part. It is also relevant for indexes OP20." - "Clamping pads for OP20 need to be milled to be perpendicular to indexes' axles." - Analysis: - The text indicates a technical review of the clamping process for mechanical parts. It highlights the importance of ensuring that holes on the casting align correctly with machined holes and provides specific instructions for the milling process to achieve proper alignment. #### 9. Perspective and Composition: - Perspective: - Image 1: Slightly angled side view of the mechanical part to capture dimensions and features. - Image 2: Closer, more zoomed-in perspective to focus on detailed aspects of the clamping pads. - Composition: - The main mechanical part is prominently featured with critical measurements highlighted in green. The layout is clean with clear annotations and directional arrows guiding the viewer's focus. #### 10. Contextual Significance: - The images and annotations are part of a technical review or instruction manual for ensuring proper clamping in mechanical manufacturing. It provides crucial information on the importance of alignment and milling for accurate assembly and function, contributing to the overall goal of maintaining high-quality standards in production. #### 11. Metadata Analysis: - Capture Date: 05.08.2024 - Author: Georgy Komarov - Metadata Information: It provides a timestamp and author attribution, adding context to the source and timeframe of the technical review. ### Summary The visual content provides detailed technical guidance on clamping mechanical parts, focusing on the alignment of holes and clamping pads. Critical measurements are annotated, and specific milling instructions are provided to ensure proper alignment. The imagery is designed to aid in understanding and implementing precise manufacturing processes to maintain high standards in mechanical production. #################### File: VW%2010130_EN%281%29.pdf Page: 2 Context: # VW 101 30: 2005-02 ## Introduction An evaluation of the machine capability regarding observable measurable production characteristics is an important prerequisite for fulfillment of the specified quality requirements. However, for many practical cases of the capability investigation, to date no standards or uniform group regulations exist, so in identical cases completely different capability evaluations could result. This standard was developed in order to make it possible to carry out the capability investigation under uniform rules for all practical cases and thus ensure the comparability of the results in the Volkswagen Group. This standard contains all of the theoretical principles, as a self-contained whole, that are needed for use and understanding. Only the statistical tests that are already described in detail in standards or standard works in the literature of statistics will be indicated with references. To carry out a machine capability investigation according to this standard, a computer program is required in which the algorithms described are implemented. If such a computer program is available, the user can basically concentrate on the rules described in Section 4 and look up theoretical principles if necessary. The most important sub-sections in it are: - 4.2 Sampling - 4.5 Documentation - 4.6 Results evaluation Section 5 also lists examples that can be used to help with the results evaluation. ## 1 Purpose and scope The goal of a machine capability investigation is a documented evaluation of whether the machine to be tested makes possible secure production of a characteristic considered within defined limit values. Ideally, in this process, only machine-related influences should have an effect on the production process. How and under what requirements machine capability investigations are to be carried out is the object of this standard. It is applicable to any continuous² (measurable) production characteristics. --- ¹ In the following, the designation "measurable characteristics" is used for this characteristic type instead of the designation recommended by DIN "continuous characteristics", since this has become established at Volkswagen. Image Analysis: ### Text Analysis (Image 1): #### Extracted Text: This is a page from a document detailing the evaluation of machine capability within the Volkswagen Group, specifically document VW 101 30: 2005-02. Below is the summary of each section present on the page: #### **Introduction:** This section begins by explaining the importance of evaluating machine capability to ensure it meets specified quality requirements. It notes the absence of uniform standards for capability investigations and states that this standard has been developed to ensure comparability of results within the Volkswagen Group. Key points mentioned: - Self-contained theoretical principles for use and understanding. - Statistical tests detailed in related standards or literature. - Role of a computer program to carry out capability investigations. - Important sub-sections include Sampling, Documentation, and Results evaluation. #### **1 Purpose and Scope:** This section outlines the goal of machine capability investigations, which is to document whether a machine's test results comply with the production of a characteristic within defined limits and ideally, rule out influences other than those related to the machine. It emphasizes applicability to continuous (measurable) production characteristics. #### **Footnote:** A clarifying footnote is provided that "measurable characteristics" is used in the document following Volkswagen's established terminology, instead of the term "continuous characteristics" recommended by DIN. ### Contextual Significance: The document aims to provide a standardized methodology for evaluating machine capabilities, ensuring that results are consistent and comparable within the Volkswagen Group. It stresses the importance of statistical analysis, proper documentation, and a computer program to assist in the evaluations. ### Diagram and Chart Analysis: There are no diagrams or charts present on this page. ### Scene and Activity Analysis: This page does not contain any images depicting activities or scenes. ### Object Detection and Classification: There are no distinct objects, as this is purely a text-based page. ### Anomaly Detection: There are no noticeable anomalies on this page. ### Color Analysis: The entire page appears to be black and white. There is no particular color composition that impacts perception; it is a standard printed text page. ### Perspective and Composition: The image appears to be a straight-on, flat scan or photo of a document page. The text is formatted in a typical document layout with headings and sub-sections clearly distinguished, making it easy to read and comprehend. ### Metadata Analysis: No metadata is available from the image to assist in the analysis. ### Process Flow (Ablaufprozesse) and Process Descriptions (Prozessbeschreibungen): The image provides a high-level overview of the process involved in machine capability investigation, divided into essential sub-sections including sampling, documentation, and evaluation of results. ### Summary: The document page details the standards and procedures for conducting machine capability evaluations within the Volkswagen Group, providing a theoretical framework and practical guidelines to ensure consistent and reliable results across the company’s production processes. #################### File: VW%2010130_EN%281%29.pdf Page: 3 Context: # Principle of the Machine Capability Investigation Basically, different values of a considered characteristic result during the production of the same type of parts with the machine to be tested due to random influences. These characteristic values disperse around a location caused by systematic influences, depending on the production quality. Therefore, there is a test of how well the distribution of the characteristic values fits into the tolerance zone defined by the designer (Figure 1). The evaluation of this is expressed by the capability indexes \(C_{p}\) and \(C_{pk}\) (as in capability), whereby only the production dispersion is taken into consideration in the \(C_{p}\) value and the process location is additionally taken into consideration in the \(C_{pk}\) value. These statistics must be at least as great as the defined limit values in order to meet the requirement for a capable machine. To determine the capability indexes with respect to the considered characteristic, an adequately large random sample of produced parts (generally \(n = 50\)) is taken in direct sequence. So that essentially only the machine influence is recorded, the samples shall be taken under conditions that are as ideal as possible regarding the influence operators: material, human method, and environment. From this random sample, the location \(X_{0.135}\) and dispersion range limits \(X_{0.865}\) and \(X_{99.865}\) are estimated for the population of the characteristics values (theoretically infinite quantity) and compared to the tolerance zone \([G_{L}, G_{U}]\) (Figure 1). In this case, the dispersion range limits are specified in such a way that the percentage of characteristic values outside the dispersion range is \(p_{e} = 0.135\%\) on both sides. In addition, there is a test of whether the distribution of the characteristic values corresponds to an expected regularity. --- ### Figure 1 - Example of a Distribution of Characteristic Values Within a Defined Tolerance Zone | Characteristic Value | Frequency | |----------------------|-----------| | \(G_{L}\) | | | \(X_{0.135}\) | | | \(\mu\) | | | \(X_{99.865}\) | | | \(G_{U}\) | | *Note: The term characteristic value should not be confused with the term measured value, since in contrast to the first, the latter contains an uncertainty.* Image Analysis: ### Analysis of the Attached Visual Content #### 1. Localization and Attribution - **Image 1**: Located at the top of the page, consisting of a diagram and significant textual information. - **Image 2**: Located at the bottom of the page, consisting of a diagram labeled "Figure 1". #### 2. Object Detection and Classification - **Image 1**: Contains textual content discussing the principles of machine capability investigation. - **Image 2**: Contains a line graph depicting the distribution of characteristic values within a defined tolerance zone. #### 3. Scene and Activity Analysis - **Image 2**: The scene shows a bell-shaped curve representing the frequency distribution of characteristic values against the defined tolerance zone. Activities involve statistical analysis and quality control of produced parts. #### 4. Text Analysis - **Image 1**: - Title: "Principle of the machine capability investigation". - Main text discusses how different characteristic values are distributed during production. It emphasizes the importance of capability indices (\(c_m\) and \(c_{mk}\)) and how a sample of produced parts is analyzed to determine these indices. - **Image 2**: - Figure label: "Figure 1 - Example of a distribution of characteristic values within a defined tolerance zone". - In the diagram, annotation \(p_e = 0.135\%\) indicates the probability that a characteristic value falls outside the dispersion range on either side of the tolerance limits \(G_L\) and \(G_L\). - The axis labels indicate "Frequency" (vertical) and "Characteristic value" (horizontal), with specific points noted such as \(\mu\) (mean), \(X_{0.135%\) (0.135% quantile), and \(X_{99.865%}\) (99.865% quantile). #### 5. Diagram and Chart Analysis - **Image 2**: - The graph features a normal distribution curve (bell curve) with the defined tolerance range area shaded. - The horizontal axis represents the characteristic value, and the vertical axis represents frequency. - Key points on the graph include mean (\(\mu\)), lower tolerance limit (\(G_L\)), upper tolerance limit (\(G_L\)), and the respective quantiles \(X_{0.135%}\) and \(X_{99.865%}\). #### 7. Anomaly Detection - **Image 2**: There are no apparent anomalies within the diagram. The graph appears to be a standard illustration of a normal distribution within specified limits. #### 8. Color Analysis - **Image 2**: - The diagram uses black and white for clear representation. - The predominant colors are black (lines and text) and white (background), which emphasizes clarity and readability. #### 9. Perspective and Composition - **Image 2**: - The graph is presented in a front-facing view, typical for statistical illustrations. - The elements are arranged logically, with the curve centrally placed and annotations clearly marking key points and tolerance limits. #### 12. Graph and Trend Analysis - **Image 2**: - The normal distribution (bell curve) suggests that most characteristic values fall within the specified tolerance range. - The graph suggests that 0.135% of values are expected to fall outside the tolerance zone on each side, which may indicate a standard acceptable deviation in production quality. #### 13. Graph Numbers - **Image 2**: - \(p_e = 0.135\%\), \(G_L\), \(G_L\), \(\mu\), \(X_{0.135%}\), \(X_{99.865%}\). #### Additional Aspects - **Ablaufprozesse (Process Flows)**: The text in Image 1 details a process flow for determining the capability indexes based on sampling and analysis. - **Prozessbeschreibungen (Process Descriptions)**: The document describes the process for evaluating the distribution of characteristic values and the calculation of capability indexes (\(c_m\) and \(c_{mk}\)). - **Trend and Interpretation**: The bell curve in Image 2 indicates a typical distribution of characteristic values, suggesting the process is statistically controlled within the predefined tolerance zone. This analysis covers the key aspects you requested and provides a detailed examination of the attached visual content. #################### File: VW%2010130_EN%281%29.pdf Page: 4 Context: # Theoretical principles ## Distribution models The distribution of characteristic values can be described by a distribution model for most types of production characteristics. This means that most production characteristics with two-sided tolerance zones, e.g., length dimensions, diameters, and torques can be based on a normal distribution. In contrast, the variation behavior of production characteristics with upper limited tolerance zones can only be described by absolute value distributions of type I or type II. For example, the type I absolute value distribution can be used as the basis for the characteristic types parallelism and asymmetry, and the type II absolute value distribution can be used for the characteristic types position and coaxiality. ### Normal distribution The function of the probability density (density function for short) of a normal distribution that is shown graphically in Figure 2 is: $$ f_{X}(x) = \frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{(x - \mu)^{2}}{2 \sigma^{2}}} $$ with the parameters mean value \( \mu \) and standard deviation \( \sigma \), that identify the location and width of a distribution, whereby the square of the standard deviation \( \sigma^{2} \) is identified as variance. ![Function of the probability density of a normal distribution](image_link) Figure 2 – Function of the probability density of a normal distribution *Illustrations, graphics, photographs, and flow charts were adopted from the original German standard, and the numerical notation may therefore differ from the English practice. A comma corresponds to a decimal point, and a period or a blank is used as the thousands separator.* Image Analysis: ## Detailed Analysis of the Visual Content ### 1. **Localization and Attribution** - **Image Placement on the Page:** - There is one image on the page. - **Numbering:** - The image is referred to as Image 1. ### 2. **Object Detection and Classification** - **Objects Identified:** - **Object Category:** Diagram - **Key Features:** - **Graph Components:** Probability density curve, x-axis, y-axis, turning points. - **Labels and Annotations:** μ (mean value), σ (standard deviation), probability density, characteristic value. ### 4. **Text Analysis** - **Detected Text:** - **Title:** "Theoretical principles" - **Section Number:** "3.1 Distribution models" - **Subsection:** "3.1.1 Normal distribution" - **Formula and Description:** ``` The function of the probability density (density function for short) of a normal distribution that is shown graphically in Figure 2 is: f_v(x) = \frac{1}{\sigma \sqrt{2 \pi}} e^{\frac{-1}{2}(\frac{x - μ}{σ})^2} (1.1) ``` - Parameters: mean value (μ) and standard deviation (σ). - Note: Distribution variance is identified by the square of the standard deviation (σ²). - **Significance:** - Provides theoretical understanding of normal distribution. - Defines important statistical parameters and their roles in describing a normal distribution. ### 5. **Diagram and Chart Analysis** - **Chart Analysis:** - **Title:** "Figure 2 – Function of the probability density of a normal distribution" - **Axes:** - **Y-axis:** Probability density. - **X-axis:** Characteristic value. - **Scales and Labels:** μ - 4σ, μ - 3σ, μ - 2σ, μ - σ, μ, μ + σ, μ + 2σ, μ + 3σ, μ + 4σ. - **Key Insights:** - The probability density function (pdf) of the normal distribution is a bell-shaped curve. - Majority of the data falls within ±1σ (standard deviation) from the mean (μ). - From μ - 4σ to μ + 4σ, the probability density decreases symmetrically. - Turning Points: μ - σ and μ + σ mark where the concavity of the curve changes. - Points of interest: The areas under the curve at ±3σ from the mean encompass a large proportion of the distribution (~99.73%). ### 13. **Graph Numbers (for key annotations)** - **Data Points:** - Probability at Turning Points: p = 0.135% - Characteristic Values: Including μ - 4σ, μ - 3σ, μ - 2σ, μ - σ, μ, μ + σ, μ + 2σ, μ + 3σ, μ + 4σ. ### 6. **Product Analysis** - **Description:** N/A (No product is depicted). ### 7. **Anomaly Detection** - **Detection:** N/A (No anomalies detected). ### 8. **Color Analysis** - **Colors Detected:** - **Dominant Colors:** Black for text and lines. - **Impact on Perception:** Clear contrast aids in readability of the diagram and text. ### 9. **Perspective and Composition** - **Perspective:** Direct front view. - **Composition:** - Text is above the diagram with smooth separation for detailed explanations. - Diagram is centrally placed under relevant explanatory text providing logical flow. ### 10. **Contextual Significance** - **Contribution to Document:** - Provides a foundational understanding of statistical distribution models. - Essential in engineering and quality control settings to describe the behavior of production characteristics. ### 11. **Metadata Analysis** - **Date and Source:** - Page 4 of VW 101 30: 2005-02. - Emphasizes standards and guidelines likely related to vehicle production or similar processes. ### 12. **Graph and Trend Analysis** - **Trends:** - Symmetrical distribution around the mean. - Data clustering around mean μ with decreasing probability towards the distribution tails. ### **Ablaufprozesse and Prozessbeschreibungen** - **Processes:** - Describes the process of defining and understanding normal distribution in the context of statistical analysis. ### **Typen Bezeichnung, Trend, and Interpretation** - **Types and Trends:** - Distribution models, specifically normal distribution. - Clear pattern indicating central clustering of data and diminishing density outward. ### **Tables** - **Tables:** N/A (No tables are included). This detailed analysis covers the visual content comprehensively, interpreting the diagram, text, and overall context effectively for the reader's understanding. #################### File: VW%2010130_EN%281%29.pdf Page: 5 Context: The portion of the area below the graph in Figure 2 within a considered time interval can be interpreted as probability. The probability of finding a characteristic value \( x \) in a population that is at most as high as a considered limit value \( x_k \) is thus specified by the integral function (distribution function). For normal distribution, this is \[ F_{f_X}(x_k) = \int_{-\infty}^{x_k} f_{f_X}(x) \, dx \tag{1.2} \] where \[ \int_{-\infty}^{\infty} f_{f_X}(x) \, dx = 1 \tag{1.3} \] and \( f_{f_X}(x) \geq 0 \) for all values \( x \). With the transformation \[ u = \frac{x - \mu}{\sigma} \tag{1.4} \] produces the probability density of the standardized normal distribution \[ \phi(u) = \frac{1}{\sqrt{2\pi}} e^{-\frac{1}{2}u^2} \tag{1.5} \] and the distribution function \[ \Phi(x) = \int_{-\infty}^{u} \phi(u) \, du \tag{1.6} \] with the standard deviation \( \sigma = 1 \). ### 3.1.2 Absolute Value Distribution, Type I The type I absolute value distribution results from convolution of the density function of a normal distribution at the zero point, where the function values on the left of the convolution are added to those on the right. The density function and the distribution function of the type I absolute value distribution are thus \[ f_{f_B}(x) = \frac{1}{\sigma_N \sqrt{2\pi}} \left( e^{-\frac{(x - \mu_N)^2}{2\sigma_N^2}} + e^{-\frac{(x + \mu_N)^2}{2\sigma_N^2}} \right) \quad \text{for } x \geq 0 \tag{1.7} \] \[ F_{f_B}(x_k) = \Phi \left( \frac{x_k - \mu_N}{\sigma_N} \right) + \Phi \left( \frac{x_k + \mu_N}{\sigma_N} \right) - 1 \tag{1.8} \] where - \( \mu_N \): mean value of the original normal distribution that identifies a systematic zero point shift - \( \sigma_N \): standard deviation of the original normal distribution - \( \Phi \): distribution function of the standardized normal distribution Image Analysis: ### Detailed Examination: #### **Text Analysis:** - **Content Extraction and Significance:** - **Page Header:** - "Page 5" - "VW 101 30: 2005-02" - This indicates it is the fifth page of a document numbered VW 101 30, dated February 2005. - **Paragraph Content:** - **Section Title:** - "3.1.2 Absolute value distribution, type I". - **Explanation:** - The text explains the concept of probability density functions and distribution functions, focusing on normal distributions and absolute value distributions (Type I). It describes the mathematical formulations and transformations used. - **Equations:** - Several equations are provided to mathematically represent the concepts discussed: Equations (1.2) to (1.8). - Key equations include the integral representations of probability density functions and the use of standard normal distribution functions. - **Mathematical Notations:** - Various symbols and notations such as \( F_{n}(x_{g}) \), \( f_{n}(x)\), \( \Phi(u) \), and standard normal distribution formulas. - **Definitions and Variables:** - \( \mu_N \): Mean value of the original normal distribution. - \( \sigma_N \): Standard deviation of the original normal distribution. - \( \Phi \): Distribution function of the standardized normal distribution. #### **Contextual Significance:** - **Overall Relevance:** - This page serves an educational purpose, likely within a technical or statistical manual. It aims to educate readers on the mathematical foundations of probability distributions and their associated functions. It contributes detailed theoretical discussions relevant for applications in statistics, engineering, or quality control processes. #### **Diagram and Chart Analysis:** - **Absence of Diagrams and Charts:** - This document page does not contain any diagrams, charts, or graphical data. The analysis is purely textual and mathematical. #### **Process Descriptions:** - **Described Processes:** - The text details the process of deriving and using the probability density function for the standardized normal distribution. - It also describes the convolution process used to obtain the Type I absolute value distribution. #### **Perspective and Composition:** - **Textual Layout:** - The text is structured in a formal and precise layout, typical of academic or technical documentation. - Equations are numbered sequentially and embedded within the flowing explanatory paragraphs. #### **Localization and Attribution:** - **Single Image Analysis:** - This document comprises a single page and therefore is treated as 'Image 1'. - All text and mathematical content are attributed to this single image. ### Summary: The document page analyzed is a technical or academic text focused on probability distributions, specifically the normal distribution and Type I absolute value distribution. It includes detailed mathematical explanations and formulas, providing an in-depth educational resource for understanding these statistical concepts. The text layout is clear and formal, suitable for readers with some background in mathematics or statistics. This analysis showcases the document's role in conveying complex mathematical ideas with precision and clarity. #################### File: VW%2010130_EN%281%29.pdf Page: 6 Context: # Figure 3 - Density Function of the Type I Absolute Value Distribution with Different Zero Point Shifts Figure 3 shows density functions that result from convolution of the density of the normal distribution at different zero point shifts. ![Figure 3](image_link) ## Mean Value and Variance of the Type I Absolute Value Distribution The mean value and variance of the type I absolute value distribution are: \[ \alpha = x_N \left( \frac{ \xi_N }{ \sigma_N } - \frac{ \xi_N }{ \sigma_N } \right) \cdot \frac{2 \cdot \sigma_N}{\sqrt{2\pi}} \cdot e^{-\frac{ \xi_N^2 }{2}} \tag{1.9} \] \[ \sigma^2 = \sigma_N^2 + \kappa_N^2 \tag{1.10} \] For the case of a zero point shift \(\mu_N = 0\), the following results from (1.9) and (1.10): \[ \alpha = \frac{2 \cdot \sigma_N}{\sqrt{2\pi}} \tag{1.11} \] \[ \sigma^2 = \left( \frac{ t - 2 }{t} \right) \sigma^2_h \tag{1.12} \] As Figure 3 shows, with increasing zero point shift, the type I absolute value distribution approaches a normal distribution. Thus for the case \[ \frac{\alpha}{\sigma} \approx 3 \tag{1.13} \] the type I absolute value distribution can be replaced with a normal distribution with good approximation. Image Analysis: ### Analysis of the Visual Content: **Localization and Attribution:** - **Image Number:** Image 1 - **Position:** Singular image on the provided page. **Text Analysis:** - **Text Detected:** - **Page Header:** "Page 6 VW 101 30:2005-02" - **Title and Figure Description:** - "Figure 3 shows density functions that result from convolution of the density of the normal distribution at different zero point shifts." - "Figure 3 - Density function of the type I absolute value distribution with different zero point shifts" - **Mathematical Equations:** - Mean value and variance equations: \[ \alpha = x_{N} \left( \Phi \left( \frac{x_{N}}{\sigma_{N}} \right) - \Phi \left( \frac{- x_{N}}{\sigma_{N}} \right) \right) + 2 \cdot \sigma_{N} \cdot \frac{e^{\left( \frac{- x_{N}^2}{2 \cdot \sigma_{N}^2} \right)}}{\sqrt{2 \pi}} \] \[ \sigma^2 = \sigma_{N}^2 + x_{N}^{2} - \alpha^2 \] - For zero point shift \( \mu_N = 0 \): \[ \alpha = 2 \cdot \frac{\sigma_{N}}{\sqrt{2 \pi}} \] \[ \sigma^2 = \left( 1 - \frac{2}{\pi} \right) \cdot \sigma_{N}^2 \] - Approximation as a normal distribution: \[ \frac{\alpha}{\sigma} \approx 3 \] - **Paragraph:** - "As Figure 3 shows, with increasing zero point shift, the type I absolute value distribution approaches a normal distribution. Thus for the case \(\alpha / \sigma \approx 3\), the type I absolute value distribution can be replaced with a normal distribution with good approximation." **Diagram and Chart Analysis:** - **Chart Type:** Line graph - **Axes:** - **Y-Axis:** Probability density - **X-Axis:** Characteristic value - **Curves:** - Labeled \( \mu_N = 0 \) - Labeled \( \mu_N = 10_N \) - Labeled \( \mu_N = 20_N \) - Labeled \( \mu_N = 30_N \) - **Key Insight:** With increasing zero point shift (\(\mu_N\)), the distribution of the type I absolute value approaches that of a normal distribution. **Graph and Trend Analysis:** - **Trends:** - **Probability Density:** Changes as the characteristic value increases. - **Zero Point Shift Effects:** As the zero point shift (\(\mu_N\)) increases, the curve's shape transitions towards that of a normal distribution. - **Data Points & Observations:** - For \( \mu_N = 0 \), the graph shows a higher peak at lower characteristic values. - For \( \mu_N = 30_N \), the graph peak flattens out, indicating more spread out values, which aligns with the transition toward a normal distribution. **Color Analysis:** - **Dominant Colors:** Black and white. The lines representing different \(\mu_N\) values are black, while the background is white. - **Impact:** The high contrast makes the graph easy to read and interpret. **Perspective and Composition:** - **Perspective:** Straightforward view of the graph, head-on perspective. - **Composition:** The graph is centrally placed with titles, descriptions, and equations positioned around it. This arrangement aids in easy reference and comprehension. **Contextual Significance:** - **Overall Message:** The image contributes to explaining how the type I absolute value distribution, typically non-normal, can approximate a normal distribution with increasing zero point shift. - **Relevance:** This is likely part of a mathematical or statistical analysis document explaining different types of probability distributions and their properties. ### Summary: The provided image is a detailed graph illustrating how the density functions of a type I absolute value distribution change with different zero point shifts (\(\mu_N\)). Text explanations and mathematical equations help further elucidate the relationship between these shifts and the distribution's behavior. With increasing \(\mu_N\), the distribution approximates a normal distribution, a significant point emphasized both in the graph and supporting text. The document appears to be highly technical, targeting an audience with knowledge in mathematics or statistics. #################### File: VW%2010130_EN%281%29.pdf Page: 10 Context: # 3.2.1.2 Estimation of the statistics The statistics mean value \( \bar{x} \) and standard deviation \( \sigma \) of a population can be estimated, independently of the distribution model, from the measured values of a random sample according to expectation, by \[ \bar{x} = \frac{1}{n_e} \sum_{i=1}^{n_e} x_i \tag{2.6} \] \[ \sigma^2 = s^2 = \frac{1}{n_e - 1} \sum_{i=1}^{n_e} (x_i - \bar{x})^2 \tag{2.7} \] where - \( n_e = n - n_a \): effective random sample size - \( n \): defined random sample size - \( n_a \): number of outliers - \( x_k \): k-th characteristic value In the case of data to be evaluated in the form of a frequency distribution of classified measured values (e.g., from manual recordings (tally) in a class subdivision of the value range), the statistics \( \mu \) and \( \sigma \) can be estimated by \[ \bar{x} = \frac{1}{n_e} \sum_{k=1}^{K_{max}} a_k \cdot x_k \tag{2.9} \] \[ \bar{s} = \sqrt{\frac{1}{n_e - 1} \sum_{k=1}^{K_{max}} a_k \cdot (x_k - \bar{x})^2} \tag{2.10} \] where - \( x_k \): mean value of the k-th class - \( a_k \): absolute frequency of the measured values in the k-th class (without outliers) - \( K \): maximum number of measured value classes # 3.2.1.3 Estimation of the dispersion range limits The dispersion range limits depend on the distribution model and are estimated as follows: ## Dispersion range limits for normal distribution: If the normal distribution model is the fitting distribution model, the values \( \bar{x} \) and \( \sigma \) determined according to (2.6) and (2.7) or (2.9) and (2.10) respectively result as estimated values for the dispersion range limits \[ \hat{x}_{0.965} \quad \hat{x}_{0.0135} = \bar{x} \pm 3\sigma \tag{2.11} \] which, when used in formulas (2.1) and (2.2), result in the classical formulas for calculating the capability indexes (see also example 1 in Section 5). Image Analysis: ### Image Analysis #### Localization and Attribution - **Image 1:** The entire page appears to be a single image where text and mathematical formulas dominate. #### Text Analysis - **Text Content:** - **Section Heading:** "3.2.1.2 Estimation of the statistics" - **Explanatory Text:** The text explains methods to estimate statistics, like the mean value (x̅) and standard deviation (σ), using measured values from a random sample. - **Mathematical Formulas:** - \[ \hat{x} = x̅ = \frac{1}{n_e} \sum_{i=1}^{n_e} x_i \] (Equation 2.6) - \[ \hat{\sigma^2} = s^2 = \frac{1}{n_e - 1} \sum_{i=1}^{n_e} (x_i - x̅)^2 \] (Equation 2.7) - Descriptive variables n_e, n, n_A, x_i are explained. - **Frequency Distribution:** Methods involving frequency distribution of classified measured values and calculating mean and standard deviation. - Additional formulas: Equations (2.9) and (2.10) for estimating statistics using frequency distribution. - **Section 3.2.1.3:** Estimation of dispersion range limits. - **Dispersion Range Limits for Normal Distribution:** Formula: - \[ \hat{x}_{0.99865 \text{ to } 0.00135} = \hat{x} \pm 3\hat{\sigma} \] (Equation 2.11) #### Diagram and Chart Analysis - **Diagrams:** No diagrams or charts are present on the page. #### Scene and Activity Analysis - No specific scene or activity is depicted beyond the presentation of formulas and explanatory text. #### Metadata Analysis - No metadata information is provided or extracted from the image. #### Content Analysis - The content is highly technical and related to statistical estimations in quality control and process management, indicating an instructional or procedural document related to measurement systems or data evaluation. ### Conclusion The image is a technical document page explaining statistical methods for estimating mean value and standard deviation from a random sample, and how to estimate dispersion range limits based on normal distribution. The principal focus is on mathematical formulas and their explanation. #################### File: VW%2010130_EN%281%29.pdf Page: 12 Context: # VW 101 30: 2005-02 The connection between the parameter values \( \mu_H \) and \( \sigma_H \) of the type I absolute value distribution and the statistics \( \mu \) and \( \sigma \) is shown graphically in Figure 5, related to \( \sigma \). ![Figure 5 - Relative parameter values of the type I absolute value distribution in relationship to the relative location](figure5.png) For the fitted type I absolute value distribution, the dispersion range limits can then be determined numerically and their relationships with the relative location are shown in Figure 6. ![Figure 6 - Relative dispersion range limits of the type I absolute value distribution in relationship to the relative location](figure6.png) 1. Illustrations, graphics, photographs and flow charts were adopted from the original German standard, and the numerical notation may therefore differ from the English practice. A comma corresponds to a decimal point, and a period or a blank is used as the thousands separator. Image Analysis: ### Analysis of Attached Visual Content #### 1. **Localization and Attribution:** - **Image 1 (Top Graph):** - It is located at the upper part of the page, titled "Figure 5." - **Image 2 (Bottom Graph):** - It is located at the lower part of the page, titled "Figure 6." #### 2. **Object Detection and Classification:** - **Image 1:** - Objects: Graph, axes, data points, and labels. - **Image 2:** - Objects: Graph, axes, data points, and labels. #### 3. **Scene and Activity Analysis:** - **Image 1:** - Scene: A graph representing the relationship between relative distribution parameter (\(\sigma_{\lambda}\) / \(\sigma\), \(\sigma_{H}\) / \(\sigma\)) and relative location (\(\mu\) / \(\sigma\)). - Activity: Visualization of parameter values. - **Image 2:** - Scene: A graph illustrating the relative dispersion range limits (\(X_{99.865%}\) / \(\sigma\), \(X_{0.135%}\) / \(\sigma\)) in relation to the relative location (\(\mu\) / \(\sigma\)). - Activity: Visualization of dispersion range limits. #### 4. **Text Analysis:** - **Image 1:** - Titles and Labels: "Figure 5 - Relative parameter values of the type I absolute value distribution in relationship to the relative location," "Relative distribution parameter," "Relative location (\(\mu\) / \(\sigma\))," and data labels (\(\sigma_{\lambda}\) / \(\sigma\), \(\sigma_{H}\) / \(\sigma\)). - Significance: Indicates the correlation and trends for statistical parameter values. - **Image 2:** - Titles and Labels: "Figure 6 - Relative dispersion range limits of the type I absolute value distribution in relationship to the relative location," "Relative scatter range limit," "Relative location (\(\mu\) / \(\sigma\))," and data labels (\(X_{99.865%}\) / \(\sigma\), \(X_{0.135%}\) / \(\sigma\)). - Significance: Shows how the range limits change with the location parameter. #### 11. **Graph and Trend Analysis:** - **Image 1:** - Axes and Scales: - X-Axis: Labeled "Relative location (\(\mu\) / \(\sigma\))" ranging from 1.2 to 3.0. - Y-Axis: Labeled "Relative distribution parameter," ranging from 0.0 to 3.5. - Trends: As \(\mu/\sigma\) increases, both \(\sigma_{\lambda}/\sigma\) and \(\sigma_{H}/\sigma\) show distinct trends, with \(\sigma_{\lambda}/\sigma\) increasing more sharply than \(\sigma_{H}/\sigma\). - **Image 2:** - Axes and Scales: - X-Axis: Labeled "Relative location (\(\mu\) / \(\sigma\))" ranging from 1.2 to 3.0. - Y-Axis: Labeled "Relative scatter range limit," ranging from 0.0 to 7.0. - Trends: With increasing \(\mu/\sigma\), \( X_{99.865%} /\sigma \) and \( X_{0.135%}\) /\(\sigma\) exhibit varied dispersion range limits, indicating different behavior at the extremes of the distribution. #### 5. **Text Analysis:** - **Extracted Text:** - General Description: Provides interpretations of the graphs and explains the graphical representation of relationships for different parameter values. - Footnote: Explains terminological and notational differences in translations, specifying visualizations used in the document. #### 13. **Graph Numbers:** - **Image 1:** - Data Points: - X = 1.4, Y (\(\sigma_{\lambda}/\sigma\)) ≈ 1.9 - X = 1.4, Y (\(\sigma_{H}/\sigma\)) ≈ 0.6 - X = 3.0, Y (\(\sigma_{\lambda}\sigma\)) ≈ 2.9 - X = 3.0, Y (\(\sigma_{H}/\sigma\)) ≈ 1.7 - **Image 2:** - Data Points: - X = 1.4, Y ((\(X_{99.865%}\) / \(\sigma\))) ≈ 4.2 - X = 1.4, Y ((\(X_{0.135%}\) / \(\sigma\))) ≈ 2.0 - X = 3.0, Y ((\(X_{99.865%}\) / \(\sigma\))) ≈ 5.9 - X = 3.0, Y ((\(X_{0.135%}\) / \(\sigma\))) ≈ 3.1 #################### File: VW%2010130_EN%281%29.pdf Page: 13 Context: For direct determination of the statistics μ_N and σ_N from the statistics μ and σ, for \(1.3236 \leq \frac{σ}{d} < 3\) the following approximation can also be used as an inverse function of (2.13) with adequate precision (error related to less than 0.01): \[ \hat{σ}_{\bar{d}} = 1.64 \left( \frac{d}{\bar{d} - 1.3236} \right)^{0.268} + 0.634 \left( \frac{d}{\bar{d} - 1.3236} \right)^{1.105} \tag{2.18} \] In addition, the determination of the dispersion range limits for \(1.3236 \leq \frac{σ}{d} < 3\) is carried out directly with the use of the following approximation (error related to less than 0.02): \[ \hat{X}_{0.8696} = -2.47 \left( \frac{σ}{\bar{d} - 1.3236} \right)^{0.67} + 2.505 \left( \frac{σ}{\bar{d} - 1.3236} \right) + 5.3711 \tag{2.19} \] \[ \hat{X}_{0.1316} = 0.018 \left( \frac{σ}{\bar{d} - 1.3236} \right) + 0.0028 \] For \(\frac{σ}{d} \geq 3\) the calculation of the dispersion range limits is carried out according to formula (2.11). ## Dispersion Range Limits of the Type II Absolute Value Distribution: To determine the dispersion range limits for a type II absolute value distribution (see also example 2 in Section 5) first the statistics μ and σ are estimated according to formulas (2.6) and (2.7) or (2.9) and (2.10) respectively. For the case \(\frac{σ}{d} < 6\), the estimated statistics μ and σ are then used to estimate the parameter values z and σ_θ to be determined of the type II absolute value distribution to be fitted, in the following manner: Equations (1.14) and (1.16) yield the function: \[ \frac{σ}{\bar{d}} = \Psi_{g2} \left( \frac{σ}{d_N} \right) \frac{1}{\sqrt{2\pi}} e^{-\frac{1}{2} \left( \frac{σ}{d_N} \right)^2} \int_0^{z} v^2 e^{- \frac{1}{2} v^2} \frac{2}{σ} e^{-\frac{z^2}{2}} dα \, dv \tag{2.20} \] where \[ v = \frac{σ}{d_N} \tag{2.21} \] With equation (1.17), this yields the following function: \[ \hat{σ} = \Psi_{g2} \left( \frac{σ}{d_N} \right) \frac{\Psi_{g2} \left( \frac{σ}{d_N} \right)}{\sqrt{2} \left( \frac{σ}{d_N} \right)^2 - \Psi_{g2} \left( \frac{σ}{d_N} \right)} \tag{2.22} \] Equations (1.20) and (1.21) result in the condition: \[ \frac{σ}{\bar{d}} = \frac{\pi}{4 - π} = 1.9131 \tag{2.23} \] Image Analysis: 1. **Localization and Attribution:** - The document contains one image, located in the entirety of the page. It will be referred to as **Image 1**. 2. **Object Detection and Classification:** - **Image 1** contains textual content, mathematical equations, and notations. 3. **Text Analysis:** - **Image 1** contains the following notable text segments: - **Top Header**: "Page 13 / VW 101 30: 2005-02" - **Section Title**: "For direct determination of the statistics μ_N and σ_N... (error related to less than 0.01)" - **Equations**: A total of eight equations, labeled (2.18) to (2.23). - **Subsection Heading**: "Dispersion range limits of the type II absolute value distribution" - **Additional text** discussing the process of determining dispersion range limits and related calculations. - Significant Textual Content: - **Equations (2.18) - (2.23)** present various mathematical models and formulas related to the dispersion range limits and calculations of statistics μ_N and σ_N. - **Contextual Explanation**: Details regarding error approximation and calculations for different scenarios based on the parameter range of ξ/δ. 4. **Diagram and Chart Analysis:** - There are no diagrams or charts in this image. 5. **Product Analysis:** - There are no products depicted in this image. 6. **Anomaly Detection:** - No noticeable anomalies or unusual elements are present in the textual and mathematical content. 7. **Color Analysis:** - The image is in black and white, adding a professional and formal look. 8. **Perspective and Composition:** - The perspective is a straight-on view typical for document scans. - The composition is methodical and neatly organized with headings, subheadings, and equations in sequential order. 9. **Contextual Significance:** - The text and equations are part of a technical document concerning statistical methods and distribution calculations. It contributes to explaining complex statistical procedures and their precise determination, likely intended for an audience with a background in statistics or related fields. 10. **Graph and Trend Analysis:** - No graphs are present in this image. 11. **Tables:** - There are no tables included in this image. 12. **Additional Aspects:** - **Ablaufprozesse (Process Flows)**: The process described involves calculating statistical parameters and dispersion limits. - **Prozessbeschreibungen (Process Descriptions)**: Detailed steps for determining statistics μ_N and σ_N and dispersion range limits are provided. - **Typen Bezeichnung (Type Designations)**: The document references "type II absolute value distribution," indicating a particular statistical distribution type. - **Trend and Interpretation**: No specific trends are described, but the detailed equations and explanations suggest a robust theoretical approach to statistical analysis. #################### File: VW%2010130_EN%281%29.pdf Page: 15 Context: # Relative Dispersion Range Limits of the Type II Absolute Value Distribution For the fitted type II absolute value distribution, the dispersion range limits can then be determined numerically, and their relationships with the relative location are shown in Figure 8. ![Figure 8 - Relative dispersion range limits of the type II absolute value distribution in relationship to the relative location](path/to/image) ## Direct Determination of Statistics For direct determination of the statistics \( z \) and \( \sigma_v \), from the statistics \( \mu \) and \( \sigma \), for \( 1.9131 \leq \frac{\sigma}{\sigma} \leq 6 \), the following approximation can also be used as an inverse function of (2.22) with adequate precision (error related to \( o \) less than 0.02): \[ \xi_{82} \left( \frac{\sigma}{\sigma} \right) \geq 2.1 \left( \frac{\sigma}{\sigma} - 1.9131 \right)^{0.913} + 0.466 \left( \frac{\sigma}{\sigma} - 1.9131 \right)^{1.22} \tag{2.27} \] In addition, the determination of the dispersion range limits for \( 1.9131 \leq \frac{\sigma}{\sigma} \leq 6 \) is carried out directly with the use of the following approximation (error related to \( o \) less than 0.03): \[ \xi_{89.8656} = -1.64 \left( \frac{\sigma}{\sigma} - 1.9131 \right)^{0.62} + 2.075 \left( \frac{\sigma}{\sigma} - 1.9131 \right)^{0.9} + 5.5485 \tag{2.28} \] \[ \xi_{X0.1356} = 2.6 \cdot \exp\left( -\left( \frac{\sigma}{\sigma} - 1.7031 \right)^{0.8} \right) + 1.425 \left( \frac{\sigma}{\sigma} - 1.9131 \right)^{0.9} - 2.1206 \] For \( \frac{\sigma}{\sigma} \geq 6 \), the calculation of the dispersion range limits is carried out according to formula (2.11). --- **Footnotes:** 1. Illustrations, graphics, photographs, and flow charts were adopted from the original German standard, and the numerical notation may therefore differ from the English practice. A comma corresponds to a decimal point, and a period or a blank is used as the thousands separator. Image Analysis: ### Analysis of the Attached Visual Content #### 1. Localization and Attribution: - **Image Number**: Image 1 - **Location on Page**: Center of the page #### 2. Object Detection and Classification: - **Objects Detected**: - **Graph**: Chart displaying a relationship between "Relative location μ/σ" and "Relative scatter range limit". - **Text**: Mathematical equations, descriptive text, footnotes. #### 3. Scene and Activity Analysis: - **Scene Description**: The page contains a graph illustrating relative dispersion range limits for a type II absolute value distribution. Below the graph, there are mathematical equations and explanations regarding the calculations. - **Main Actions**: The graph visualization, mathematical formulations, and explanatory text. #### 4. Text Analysis: - **Detected Text**: - Title: "Figure 8 - Relative dispersion range limits of the type II absolute value distribution in relationship to the relative location" - Various mathematical equations and descriptions detailed below the graph. - Footnotes explaining the notation specifics. - **Content Significance**: - The text provides detailed theoretical explanations and formulas necessary to understand the dispersion range limits for a type II absolute value distribution. The approximations and error precisions are also explained. #### 5. Diagram and Chart Analysis: - **Graph Analysis**: - **Axes**: - X-axis: Labeled as "Relative location μ/σ", ranging from 1.5 to 6.0. - Y-axis: Labeled as "Relative scatter range limit", ranging from 0 to 9. - **Data Trends**: - Two curves are depicted: - \( X_{99.865\%} / σ \) - \( X_{0.135\%} / σ \) - The graph shows increasing trends for both curves as the relative location μ/σ increases. - **Key Insights**: - The relationship between the relative location and the relative scatter range limit is non-linear. - The upper bound \( X_{99.865\%} / σ \) increases at a different rate compared to the lower bound \( X_{0.135\%} / σ \). #### 12. Graph and Trend Analysis: - **Data Points and Trends**: - From 1.5 to 6.0 on the x-axis, the particular scatter range limits increase, suggesting an increasing relationship between the relative location and scatter range limits. - Highlighting the non-linear growth of the variable scatter range limits based on the given equations. #### 13. Graph Numbers: - **Data Points**: - Specific numeric data points aren’t provided in the graph apart from the general trend lines (curves). #### Additional Aspects: - **Ablaufprozesse (Process Flows)**: - The process flow is described for determining the statistics z and σy using given formulas, highlighting sequential steps in the determination and approximation process. - **Prozessbeschreibungen (Process Descriptions)**: - Detailed process descriptions are provided for determining dispersion range limits and the use of approximations for error precision. - **Typen Bezeichnung (Type Designations)**: - The type designation mentioned refers to the "type II absolute value distribution". #### Text Equations: - **Equation (2.27)**: \[ \xi_{2} \left(\frac{\hat{z}}{\hat{\sigma}}\right) \approx 2.1 \left(\frac{\hat{z}}{\hat{\sigma}} - 1.9131\right)^{0.913} + 0.466 \left(\frac{\hat{z}}{\hat{\sigma}} - 1.9131\right)^{1.22} \] - **Equation (2.28)**: \[ \hat{z}_{99.865\%} \approx \frac{\hat{\sigma}}{e} \left(-1.64 \cdot \left(\frac{\hat{z}}{\hat{\sigma}} - 1.9131\right)^{0.62} + 2.075 \cdot \left(\frac{\hat{z}}{\hat{\sigma}} - 1.9131\right)^{0.89} + 5.5485\right) \] \[ \hat{z}_{0.135\%} \approx \frac{\hat{\sigma}}{e} \left[2.6 \cdot \exp \left(\left(\frac{\hat{z}}{\hat{\sigma}} - 1.7031\right) \cdot 0.8\right) + 1.425 \cdot \left(\frac{\hat{z}}{\hat{\sigma}} - 1.9131\right)^{0.9} - 2.1206\right] \] This comprehensive examination encapsulates the intricate details regarding the graph, related calculations, and underlying mathematical explanations present in the visual content. #################### File: VW%2010130_EN%281%29.pdf Page: 17 Context: ```markdown x_c = \frac{x_{\text{max}} + x_{\text{min}}}{2} (2.36) R = x_{\text{max}} - x_{\text{min}} : \text{ range} (2.37) x_{\text{max}}, x_{\text{min}} : \text{ maximum and minimum measured value, respectively, of the effective total random sample} By the correction factor k = \frac{6}{d_n} (2.38) the effective random sample size n_e is taken into consideration, where d_n : \text{ expected value of the } w \text{ distribution } ^{5} The value d_n is given in Table 1 for a few random sample sizes n_e. | n_e | d_n | |-----|------| | 20 | 3.74 | | 25 | 3.93 | | 30 | 4.09 | | 35 | 4.21 | | 40 | 4.32 | | 45 | 4.42 | | 50 | 4.50 | For random sample sizes that are greater than 20, the expected values of the w distribution can be determined according to the following approximation formula: d_n \equiv 1.748 \cdot \ln(n_e)^{6.63} (2.39) In the case of a frequency distribution of classified measured values \hat{x}_0, \hat{x}_d \text{ are the upper limit, lower limit, respectively, for the top/bottom occupied class} and \hat{x}_{90\%} = \hat{x}_k + \frac{n/2 - A_k}{a_k} \cdot \Delta x \text{ for } A_k < \frac{n}{2} \leq A_k + a_k (2.40) where x_k : \text{ lower limit of the } k^{th} \text{ class} \Delta x : \text{ class width} a_k : \text{ absolute frequency of the measured values in the } k^{th} \text{ class} A_k : \text{ absolute cumulative frequency of the measured values to the lower limit of the } k^{th} \text{ class} ``` Image Analysis: ### Analysis of the Visual Content #### 1. Localization and Attribution: - **Image Identification:** - Single image on the page identified as **Image 1**. #### 4. Text Analysis: - **Text Detected:** - Page details: "Page 17, VW 101 30: 2005-02". - Mathematical notations and formulae. - Table titled "Expected value of the w distribution in relationship to nₑ". - Linguistic content explaining how to interpret the values in the table. - **Mathematical Formulae and Content:** - Several mathematical expressions are presented: - \( x_c = \frac{x_{\max} + x_{\min}}{2} \) - \( R = x_{\max} - x_{\min} \) - \( \frac{6}{d_n} \) - Description explaining the different symbols: - \( x_{\max}, x_{\min} \): Maximum and minimum measured values. - \( R \): Range. - \( k = \frac{6}{d_n} \): A correction factor involving expected value of the \( w \) distribution \((d_n)\). #### 5. Diagram and Chart Analysis: - **Table Content Analysis:** - Title: "Expected value of the w distribution in relationship to nₑ". - Columns: - \( nₑ \): Represents the effective random sample size. - \( d_n \): Represents the expected value of the \( w \) distribution. - Data presented in the table: - \( nₑ = 20, d_n = 3.74 \) - \( nₑ = 25, d_n = 3.93 \) - \( nₑ = 30, d_n = 4.09 \) - \( nₑ = 35, d_n = 4.21 \) - \( nₑ = 40, d_n = 4.32 \) - \( nₑ = 45, d_n = 4.42 \) - \( nₑ = 50, d_n = 4.50 \) #### 12. Graph and Trend Analysis: - **Formulae and Trends:** - For \( nₑ > 20 \), the expected value of the \( w \) distribution is calculated with the formula: - \( d_n \approx 1.748 - (\ln(n_e))^{0.602} \) - Additional formula for frequency distribution of classified measured values: - Upper limit and lower limit represented as \( x_{0}, x_{u} \), respectively. - The formula for the highest value in frequency distribution involves additional parameters including class width, frequency, and cumulative frequency. #### 13. Graph Numbers: - **Numerical Data points:** - For \( nₑ \): - 20 - 25 - 30 - 35 - 40 - 45 - 50 - For \( d_n \): - 3.74 - 3.93 - 4.09 - 4.21 - 4.32 - 4.42 - 4.50 ### Summary: - **Content Overview:** - The page seems to discuss statistical measures for sample sizes. - Provides mathematical formulas and a table to understand the expected value of a specific w distribution. - Detailed descriptions and formulae help in calculating these values for different sample sizes. - **Significance:** - The information is crucial for statistical analysis and understanding distribution expectations for various sample sizes. - Helps in making informed decisions based on statistical data. #################### File: VW%2010130_EN%281%29.pdf Page: 22 Context: # 4.4 Data Analysis ## 4.4.1 Selection of the Expected Distribution Model ## 4.4.2 Test for Outliers - **Outliers present?** - Yes: - **4.4.3** Take outliers out of the calculation of statistics - No: - **4.4.4** Test for change of the production location - **4.4.5** Test for deviation from the specified distribution model ## 4.4.4 Test for Change of the Production Location ## 4.4.5 Test for Deviation from the Specified Distribution Model - **Deviation from distribution model?** - Yes: - **Distribution-free evaluation** - No: - **Normal distribution?** - Yes: - **4.4.6** Evaluation according to normal distribution - No: - **4.4.7** Evaluation according to specified model ## Continued at 4 --- **Figure 10 - Sequence of Data Analysis** Image Analysis: ### Analysis of the Attached Visual Content **1. Localization and Attribution:** - **Identification and Location:** There is a single image on the page containing a flowchart. - **Numbering:** Image 1. **2. Object Detection and Classification:** - **Objects Identified:** - Flowchart components including flowchart shapes such as ovals, rectangles, diamonds, and arrows. - **Key Features:** - The flowchart outlines a process with decision points and actions. **4. Text Analysis:** - **Detected Text:** - Page 22 - VW 101 30: 2005-02 - 4.4 Data analysis - 4.4.1 Selection of the expected distribution model - 4.4.2 Test for outliers - Outliers present - 4.4.3 Take outliers out of the calculation of statistics - no - 4.4.4 Test for change of the production location - 4.4.5 Test for deviation from the specified distribution model - Deviation from distribution model - yes - 4.4.6 Evaluation according to normal distribution - 4.4.7 Evaluation according to specified model - no - normal distribution - Continued at 4 - Distribution-free evaluation - Figure 10 - Sequence of data analysis - **Content Analysis:** - The text describes the steps and decision points involved in the process of data analysis. It begins with selecting an expected distribution model and tests for outliers, followed by actions based on whether outliers are present. The flowchart includes various decision paths based on the results, including the possible need for a change in the production location, evaluation according to a normal distribution, or a distribution-free evaluation. The text conveys a systematic approach to analyzing data and handling deviations. **5. Diagram and Chart Analysis:** - **Data and Trends Identified:** - The diagram is a process flowchart depicting the sequence of steps and decision points in data analysis. - **Axes, Scales, and Legends:** - Not applicable. - **Key Insights:** - The flowchart provides a structured methodology for data analysis, highlighting critical points where decisions are to be made regarding the statistical treatment of data. **8. Color Analysis:** - **Color Composition:** - The image is primarily in black and white, using text and shapes to convey the flow of the process. - Dominant Colors: Black text and lines on a white background. **9. Perspective and Composition:** - **Perspective:** - The image is presented from a standard, straight-on view typical for diagrams and charts. - **Composition:** - The flowchart is vertically aligned, with each step or decision point connected by arrows to indicate the flow of the process. **12. Graph and Trend Analysis:** - **Trends and Interpretation:** - The flowchart indicates a flow from generalized data analysis to specific actions based on statistical testing outcomes. Every potential path has been delineated with steps designed to handle variations in data distributions and outlier management. - **Detailed Breakdown:** - The flowchart starts with a broad step of "4.4 Data analysis," which then branches into: - Selection of the expected distribution model - A test for outliers - If outliers are present, they are taken out of the calculation - Tests for change of production location and deviations from the expected distribution model - If deviations are present, evaluation processes are outlined based on normal distribution or specified model. By analyzing this diagram, users can follow a structured approach to data analysis, considering outliers, production changes, and deviations in distribution models to ensure accurate evaluation. #################### File: VW%2010130_EN%281%29.pdf Page: 23 Context: # 4.6 Results Evaluation ```mermaid flowchart TD A[Outliers present?] -->|yes| B[Outliers due to incorrect measurements?] A -->|no| C[Change of production location?] B -->|yes| D[Evaluation repeat
Continued at 4] B -->|no| E[Cause known and effect acceptable?] C -->|yes| F[Deviation from distribution model?] C -->|no| E F -->|yes| G[Other distribution model possible?] F -->|no| E G -->|yes| D G -->|no| E E -->|yes| H[Capability indexes less than limit values?] E -->|no| I[Machine incapable
Continued at 4] H -->|yes| J[Machine capable
Continued at 4] H -->|no| I ``` **Figure 11 - Sequence of the results evaluation** Image Analysis: ### Image Analysis #### 1. Localization and Attribution - **Image Position**: Only one image is present on the page. - **Image Number**: Image 1 #### 3. Scene and Activity Analysis - **Scene Description**: The image is a flowchart depicting the process flow for the sequence of results evaluation. - **Activity Description**: It shows the decision-making steps in evaluating results, starting from checking for outliers, changes in production location, deviations from distribution models, and evaluating machine capability. #### 4. Text Analysis - **Detected Text**: - "4.6 Results evaluation" - "Outliers present" - "Outliers due to incorrect measurements" - "Change of production location" - "Deviation from distribution model" - "Other distribution model possible" - "Evaluation repeat Continued at 4" - "Cause known and effect acceptable" - "Capability indexes less than limit values" - "Machine capable Continued at 4" - "Machine incapable Continued at 4" - "Figure 11 - Sequence of the results evaluation" - "Page 23" - "VW 101 30: 2005-02" - **Text Analysis**: This text defines the steps and decisions needed to evaluate results systematically. #### 6. Product Analysis - **Product Description**: Not applicable as the image does not depict a product but a flowchart. #### 7. Anomaly Detection - **Anomalies**: No noticeable anomalies. The flowchart appears to be standard and designed correctly without any unusual or unexpected elements. #### 8. Color Analysis - **Color Composition**: The flowchart is in black and white. - **Dominant Colors**: Black and white. - **Impact on Perception**: The use of black and white is conventional for technical diagrams, ensuring clarity and readability. #### 9. Perspective and Composition - **Perspective**: The image is viewed from a straight, eye-level perspective typical for diagrams. - **Composition**: The elements are arranged logically from the top to the bottom, with decision points leading to different paths, indicating a structured process flow. #### 10. Contextual Significance - **Context Analysis**: This image likely belongs to a technical or procedural document related to evaluating machine capabilities or production processes. - **Contribution to Overall Message**: The flowchart helps the reader or user understand the sequence and decision points involved in result evaluation, contributing to a methodical approach. #### 12. Graph and Trend Analysis - **Graph Description**: The flowchart represents decision branches and corresponding actions based on specific evaluation criteria. - **Trend Interpretation**: The flow suggests a structured approach to handling deviations and ensuring machine capabilities are within acceptable limits. #### Additional Aspects #### Ablaufprozesse (Process Flows) - **Process Flow Description**: - **Step 1**: Check for outliers. - **Step 2**: If outliers are present, determine if due to incorrect measurements. - **Step 3**: If no incorrect measurements, check for change in production location. - **Step 4**: If no change in production location, check for deviation from distribution model. - **Step 5**: If deviation exists, evaluate if other distribution models are possible. - **Step 6**: Repeat evaluation if needed. - **Step 7**: If cause of deviation is known and acceptable, and capability indexes are within limits, the machine is capable. If not, the machine is deemed incapable. #### Prozessbeschreibungen (Process Descriptions) - **Process Description**: The process involves several decision points at which specific actions are taken based on the data evaluation, ensuring a systematic and comprehensive approach to result evaluation. #### Typen Bezeichnung (Type Designations) - **Type Designations**: Not explicitly mentioned but implied types include result status (outliers, correct measurements), process elements (distribution models, capability indexes), and outcomes (machine capable/incapable). #### Tables - **Table Analysis**: Not applicable as no tables are included in the image. This comprehensive examination identifies the logical flow and decision points crucial for evaluating results in a systematic manner. #################### File: VW%2010130_EN%281%29.pdf Page: 25 Context: # 4.3 Special regulation for restricted MFI If the conditions named in 4.2 cannot be met completely, in justified cases a restricted MFI can be carried out, for which special regulations are to be agreed upon between supplier and customer and documented under the note "Restricted MFI." # 4.4 Data analysis ## 4.4.1 Selection of the expected distribution model The expected distribution model depends on the characteristic type. For the most important types of characteristics (see also VW 01056), the assigned distribution models are to be taken from Table 2. ## Table 2 - Assignment of characteristic types and distribution models | Characteristic Type | Distribution Model | |------------------------------|--------------------| | Length dimensions | N | | Diameter, radius | N | | Straightness | B1 | | Flatness | B1 | | Roundness | B1 | | Cylindricity | B1 | | Profile of any line | B1 | | Profile of any surface | B1 | | Parallelism | B1 | | Squareness | B1 | | Slope (angularity) | B1 | | Position | B2 | | Coaxiality/concentricity | B2 | | Symmetry | B1 | | Radial runout | B2 | | Axial runout | B2 | | Roughness | B1 | | Unbalance | B2 | | Torque | N | **Legend:** - N: Normal distribution - B1: Type I absolute value distribution - B2: Type II absolute value distribution (Rayleigh distribution) For characteristic types not listed, in most cases an assignment of a distribution can be carried out according to the following rules: - A normal distribution for characteristics with two-sided tolerance zones or one-sided tolerance zone only - And a type I or II absolute value distribution for characteristics with one-sided tolerance zone only Image Analysis: ### Image Analysis **Image 1** #### Localization and Attribution - **Image:** Page 25 of a document labeled "VW 101 30: 2005-02". #### Text Analysis 1. **Headers and Subheaders:** - **4.3 Special regulation for restricted MFI:** Describes conditions under which a restricted MFI can be carried out when certain criteria cannot be met, requiring agreed-upon regulations between supplier and customer. - **4.4 Data analysis:** Introduces processes related to data analysis. - **4.4.1 Selection of the expected distribution model:** Provides guidelines on choosing the appropriate distribution model for characteristic types. 2. **Body Text:** - **Special regulation for restricted MFI:** If conditions named in 4.2 cannot be met, justified cases allow for a restricted MFI, agreed upon between supplier and customer under the note "Restricted MFI." - **Selection of the expected distribution model:** Assigned distribution models based on characteristic type are to be taken from Table 2 and depend on the characteristic type. #### Diagram and Chart Analysis 1. **Table 2: Assignment of characteristic types and distribution models:** - **Characteristic Types:** - Length dimensions - Diameter, radius - Straightness - Flatness - Roundness - Cylindricity - Profile of any line - Profile of any surface - Parallelism - Squareness - Slope (angularity) - Position - Coaxiality/concentricity - Symmetry - Radial runout - Axial runout - Roughness - Unbalance - Torque - **Distribution Models:** - N: Normal distribution - B1: Type I absolute value distribution - B2: Type II absolute value distribution (Rayleigh distribution) 2. **Legend Explanation:** - **N:** Normal distribution - **B1:** Type I absolute value distribution - **B2:** Type II absolute value distribution (Rayleigh distribution) #### Contextual Significance - **Overall Document:** This page is part of a technical document, likely a standards or protocol document for automotive manufacturing or engineering. - **Purpose:** Provides guidance on special regulations and expected distribution models for various characteristic types important for mechanical or manufacturing quality control. #### Perspective and Composition - **Perspective:** The image appears to be a straight-on snapshot of a document page. - **Composition:** Text is organized into sections with clear headings, subheadings, and a table for visual clarity. ### Summary The analyzed visual content consists of a documented page detailing regulations and data analysis related to characteristic types in the context of a manufacturing or engineering standard. The page discusses restricted MFI conditions, the selection of expected distribution models, and the assignment of characteristic types according to their distribution model in a structured and clear manner. The table and legend enhance understanding by providing specific classifications and explanations. #################### File: VW%2010130_EN%281%29.pdf Page: 26 Context: # 4.4.2 Test for outliers First, a determination of whether the measured values recorded contain outliers is made using the distribution-free detector test according to VW 101 33. Outliers are measured values that lie so far from the other measured values that it is highly probable that they do not come from the same population as the remaining values, e.g., erroneous measurements. The outlier test shall be carried out with a confidence level of 99%. ## 4.4.3 Take outliers out of the calculation of statistics If outliers are identified, these are not considered in the calculation of the statistics. However, the outliers shall not be deleted. Rather, they shall be marked accordingly in the graphic representation of the single value curve and their number shall be indicated in the documentation. ### 4.4.4 Test for change of the production location Using the distribution-free Run Test according to Swed-Eisenhard (see [1]), a determination shall be made of whether the production location has changed systematically during the sampling. A systematic change of the production location can occur, e.g., due to the influence of temperature or due to tooling wear (trend curve). This test shall be carried out with a confidence level of 95%. If only the frequency distribution of classified measured values was recorded, this test cannot be used. #### 4.4.5 Test for deviation from the specified distribution model The recorded measured values are to be tested to see whether they exhibit a significant deviation from the distribution model that was defined for the characteristic involved. To do this, in the case of a specified normal distribution, the Epps-Pulley test (see ISO 5479) shall be used and in the case of a different specified model, e.g., with a type I or II absolute value distribution, the chi-square test (see [1]) shall be used with a confidence level of 95%. A deviation from the specified distribution model can occur, e.g., due to different material batches during the sampling (mixed distribution, see example 3 in Section 5). A deviation from the specified distribution model can occur, e.g., due to sampling from different tools (mixed distribution, see also Section 3, in Figure 5). ##### 4.4.6 Evaluation according to normal distribution In the case of a specified normal distribution or one that is approximated according to criteria (1.13), (1.22), in which the measured values do not exhibit any significant deviation from the distribution model, the calculation of the capability indices is carried out according to formulas (2.1) to (2.5), depending on the tolerancing, whereby the dispersion range limits are determined according to (2.6). ###### 4.4.7 Evaluation according to specified model In the case of a different specified distribution model, e.g., type I or II absolute value distribution, in which the measured values do not exhibit any significant deviation from the distribution model, the calculation of the capability indexes are carried out according to formulas (2.1) to (2.5), whereby the statistics of the distribution to be fitted are determined according to formulas (2.15) and (2.16) or (2.24) and (2.25) respectively with the use of the approximated function (2.18) or (2.27) respectively and the dispersion range limits can be calculated according to the approximated functions (2.19) or (2.28) respectively. Image Analysis: ### Analysis of the Visual Content **Aspect 1: Localization and Attribution** - The provided content appears to be a page from a document, labeled as "Page 26," and originates from "VW 101 30: 2005-02." **Aspect 4: Text Analysis** - The document includes several textual sections, each elaborating on different aspects of statistical tests relevant to quality assessments in manufacturing or engineering contexts. The identified sections are: 1. **Test for outliers (4.4.2):** - Discusses how to determine if measured values contain outliers using a distribution-free test method according to VW 101 33. - Outliers are measured values that significantly differ from others, indicating possible errors. 2. **Take outliers out of the calculation of statistics (4.4.3):** - States that outliers should not be removed but marked accordingly in graphic representations. 3. **Test for change of the production location (4.4.4):** - Indicates the use of the distribution-free Run Test to determine if the production location has changed systematically due to sampling. - The test checks for changes due to various factors like tooling wear or temperature influence. 4. **Test for deviation from the specified distribution model (4.4.5):** - Describes a process to test if values deviate significantly from a specified distribution model. - Different methodologies are noted, such as the Epps-Pulley test for normal distribution and the chi-square test for other models. 5. **Evaluation according to normal distribution (4.4.6):** - Specifies the evaluation of capability indexes when values don't significantly deviate from a specified normal distribution. 6. **Evaluation according to specified model (4.4.7):** - Details on evaluating capability indexes when values don't significantly deviate from a specified model different from the normal distribution. **Aspect 11: Metadata Analysis** - The metadata reveals the document type and standardized reference, indicating it is likely part of a technical or industrial standard specific to VW (Volkswagen) for quality assessment or testing procedures, dated 2005-02. **Aspect 12: Graph and Trend Analysis** - Although the page analyzed does not contain any graphical elements or data trends, it provides a detailed explanation of how such analyses should be carried out per the described methods. **Aspect 13: Graph Numbers** - There are references to various formulas and sections that seem to contain mathematical formulations/details about the mentioned tests: - Formulas (2.1) to (2.5), (2.15), (2.16), (2.18), (2.19), (2.24), (2.25), (2.27) and (2.28). - Example references can be found in sections 3 and 5, as well as Figure 5. **Aspect: Ablaufprozesse (Process Flows)** - The document describes specific statistical testing flows: - Identification of outliers. - Inclusion/exclusion in statistical calculations. - Testing for production location changes. - Assessing deviations from distribution models. - Evaluation based on normal distribution and specific models. **Aspect: Prozessbeschreibungen (Process Descriptions)** - **Test for outliers:** Process of identifying outliers using VW standard methods. - **Run Test for production location:** A statistical test to identify systematic changes in production settings. - **Epps-Pulley/Chi-square Tests:** Specific statistical tests to identify deviations from distribution models. - **Evaluation Processes:** Methods for evaluating using normal distribution models and specified non-normal distribution models. **Conclusion** The provided text is highly technical, focusing on methods for identifying and analyzing statistical anomalies and testing in the production and manufacturing context. The detailed descriptions and references to specific statistical processes imply its usage for quality control and ensuring product consistency. #################### File: VW%2010130_EN%281%29.pdf Page: 27 Context: # 4.4.8 Distribution-free evaluation If the statistical test results in a contradiction between the recorded measured values and the specified distribution model, or if not fitting distribution model can be found for the considered production characteristic, a distribution-free calculation of the capability indexes is carried out according to formulas (2.29) to (2.40). # 4.5 Documentation The documentation of an MFI regarding a characteristic must contain the following information and representations: ## Header data: - Department, coordinator and preparation date - Information regarding the part - Designation, nominal dimension and tolerance of the characteristic - Machine data - Test equipment data - Production time period ## Results: - Graphical representation of the single value curve with the random sample mean values with limit lines of the tolerance zone (as long as single values were recorded) - Histogram with a fitted distribution model, limit lines of the tolerance zone and dispersion range, as well as mean value and/or median value line - Representation in the probability grid with the fitted distribution model, limit lines of the tolerance zone and dispersion range, as well as mean value and/or median value line (see [2]) - Number of measured values - Number of measured values evaluated or outliers found - Estimated value of the production location - Estimated values of the dispersion range limits or the estimated value of the dispersion range - The distribution model used - The result of the test for change of the production location - The result of the test for deviation from the specified distribution model - Calculated capability indexes Cm and Cmk (to two digits after the decimal) - Required limit values for Cm and Cmk ## References and notes: - If necessary, reference to restricted MFI - If necessary, special agreements between supplier and customer - If necessary, special events during the sampling Image Analysis: ### 1. Localization and Attribution: - Document consists of a single page numbered Page 27. - No images to be numbered or located; text-based document. ### 4. Text Analysis: - **Heading:** The main heading is "4.4.8 Distribution-free evaluation" followed by a subheading "4.5 Documentation." - **Content:** - **4.4.8 Distribution-free evaluation:** Describes the process when statistical test results contradict recorded measured values or specified distribution models and calls for a distribution-free calculation of capability indexes. - **4.5 Documentation:** Outlines the required documentation for an MFI regarding a characteristic, detailing various types of required information and representations. - **Header Data:** Mention of several required details including department, coordinator, preparation date, and machine data. - **Results:** List of results that need to be documented, such as graphical representations, number of measured values, and calculated capability indexes. - **References and notes:** Highlights special considerations such as referencing restricted MFI and agreements between supplier and customer. **Significance:** - This section defines comprehensive criteria for evaluating statistical data and documenting it in a manufacturing or production environment. The text’s emphasis on detailed documentation ensures consistency, accuracy, and accountability in reporting measurements and test results. ### 9. Perspective and Composition: - **Perspective:** The document is presented from a standard top-down viewpoint, typical for technical manuals or guidelines. - **Composition:** The text is formatted in a structured manner with headings and subheadings to separate sections clearly. Bullet points are used to enumerate required data and results, making the information easily scannable and organized. ### 10. Contextual Significance: - **Context in Document:** This text serves as a guideline for documenting measurement data and test results in detail to facilitate quality control and process validation. - **Overall Message:** Ensures the accuracy and reliability of production data reporting, critical for maintaining and improving product quality and manufacturing efficiency. ### 14. Prozessbeschreibungen (Process Descriptions): - **Documentation of Measurement Data:** - Record fixed header data like department, coordinator, preparation date, machine data, etc. - Document results including graphical representations and statistical data points such as mean values, tolerance ranges, etc. - Note special considerations and required references as needed. - Purpose is to create a thorough record for quality assurance and validation. This document serves as a technical procedural guide to manage and document measurement data and its evaluation systematically. #################### File: VW%2010130_EN%281%29.pdf Page: 32 Context: # Example 3: Shaft diameter with a nominal dimension of 20 mm, a lower limiting value of \( G_e = 19.7 \) mm and an upper limiting value of \( G_u = 20.3 \) mm. From \( n = 50 \) measured values of the random sample, due to the statistical tests, no outliers resulted and no significant location change resulted, but a significant deviation from an expected normal distribution did. Therefore, a distribution-free evaluation is carried out according to Section 3.22. To do so, the following random sample statistics were determined: \[ \bar{x}_{50\%} = \bar{x} = 20.02 \, \text{mm}, \, x_{max} = 20.19 \, \text{mm} \, \text{and} \, x_{min} = 19.85 \, \text{mm} \] Correction factor according to formula (2.38) and Table 1: \[ k = \frac{6}{d_d} = \frac{6}{4.5} = 1.33 \] Range according to formula (2.37): \[ R = x_{max} - x_{min} = 20.19 - 19.85 = 0.34 \, \text{mm} \] According to formula (2.36): \[ x_c = \frac{x_{max} + x_{min}}{2} = \frac{20.19 + 19.85}{2} = 20.02 \, \text{mm} \] Estimated values for dispersion range limits according to formula (2.35): \[ \begin{align*} \hat{x}_{L} &= x_c - k \frac{R}{2} = 20.02 - 1.33 \frac{0.34}{2} = \frac{20.246}{19.794} \, \text{mm} \\ \hat{x}_{U} &= x_c + k \frac{R}{2} = 20.02 + 1.33 \frac{0.34}{2} = \frac{20.246}{19.794} \, \text{mm} \end{align*} \] Thus the formulas (2.29) and (2.30) resulted in the capability indexes: \[ \bar{c}_m = \frac{G_u - G_L}{\bar{x} - \hat{x}_{L}} = \frac{20.3 - 19.7}{20.02 - 20.246} = 1.33 \] \[ \bar{c}_{mk} = \min \left( \frac{G_u - \bar{x}_{50\%}}{\bar{x}_{50\%} - \hat{x}_{L}}, \frac{G_L - \bar{x}_{50\%}}{\bar{x}_{50\%} - \hat{x}_{U}} \right) = \frac{20.3 - 20.02}{20.246 - 20.02} = 1.24 \] Figure 14 illustrates the evaluation result. ## Example 14 - Example of a production without defined distribution model with the capability indexes \( c_{m} = 1.33 \) and \( c_{mk} = 1.24 \) From the capability indexes determined, it can be seen that the machine does not meet the capability requirement with respect to the considered characteristic. The significant deviation from an expected normal distribution supplies interesting information in this context. Because of this, an optimization potential can be recognized, in this case through mixed distribution. Image Analysis: ### Visual Content Analysis #### Image Details: 1. **Localization and Attribution:** - **Image 1**: There is only one image present on the page. 2. **Object Detection and Classification:** - The image features a histogram chart, several numerical calculations, and statistical data. Key elements include text, a bar graph, and mathematical formulas. 3. **Scene and Activity Analysis:** - The scene depicts a technical/engineering document with a focus on statistical analysis and capability evaluation. The activities involve mathematical and statistical examination related to production measures. 4. **Text Analysis:** - The text in the image provides a detailed explanation of statistical calculations for a shaft diameter. Key excerpts include: - "Example 3:" At the beginning, it describes a problem statement involving various measures and statistical tolerance limits. - Several formulas and calculations are displayed. - Example 14 provides an evaluation result and showcases the graph/histogram. - Annotated text at the bottom explains the significance of capability indexes c_m and c_mk, and provides conclusions based on the analysis. 5. **Chart Analysis:** - The image features a bar graph (Histogram) representing the frequency distribution of measured values. - **Axes**: - X-axis: "Measured value" with intervals ranging from 19.75 to 20.25. - Y-axis: "Frequency". - **Data**: The bar heights represent the frequency of occurrence for each range of measured values. - **Insight**: The chart indicates a normal distribution of measured values around the central value, detailing an evaluation on production capability. 6. **Product Analysis:** - The products in discussion are shaft diameters with specific measurements and tolerance limits. - The primary focus is on the production consistency and statistical evaluation of the shaft dimensions. 7. **Anomaly Detection:** - The statistical analysis shows a deviation from the expected normal distribution, suggesting an area for potential optimization, even indicating mixed distribution as a noticeable anomaly. 8. **Color Analysis:** - The document uses monochrome (black and white), a typical color scheme for technical documents to emphasize on clarity and readability of text and graphs. 9. **Perspective and Composition:** - The document is presented from a straightforward, eye-level perspective, typical for technical manuscripts. The composition is logical, with text leading into formulas and culminating in the graphical representation. 10. **Contextual Significance:** - The image and text collectively contribute to the technical evaluation of production quality and highlight the importance of statistical analysis in assessing manufacturing processes. 11. **Graph and Trend Analysis:** - The provided graph emphasizes the distribution of measured shaft diameters. The trend suggests a central tendency but with visible deviations, important for evaluating the machining process capability. 12. **Process Descriptions:** - Detailed process descriptions include calculating correction factors, range, and estimated values for dispersion based on statistical formulas. 13. **Typen Bezeichnung (Type Designations):** - Designations like c_m (Process Capability Index) and c_mk (Corrected Capability Index) are particularly highlighted. Their values denote the precision of the manufacturing process. 14. **Trend and Interpretation:** - The general trend in the analysis shows that while the process is centered around the target measurement, there are variations indicating mixed distributions, a critical point for further quality improvement. ### Summary: This page provides an elaborate statistical analysis related to manufacturing shaft diameters, presenting calculated tolerance limits and capability indexes. The supporting histogram visually complements the textual and numerical analysis, reinforcing the critical need for precision in manufacturing processes. Overall, the document embodies a thorough approach to understanding and optimizing production quality. #################### File: VW%2010130_EN%281%29.pdf Page: 34 Context: # 8 Keyword index | Key word | Page | |---------------------------------------|----------| | A | | | Absolute frequency α | 10, 17 | | Absolute cumulative frequency A | 17 | | α-Risk | 20 | | Alternative hypothesis | 20 | | Fitted capability limit values | 19, 28 | | Outlier | 20, 26 | | Confidence level γ | 20, 26 | | B | | | Conditions for the machine capability investigation | 24 | | β-Risk | 20 | | Absolute value distribution, type I | 5, 11 | | Absolute value distribution, type II | 7, 13 | | Machine at operating temperature | 24 | | C | | | Capability | 3 | | Chi-square distribution | 18 | | D | | | Data analysis | 25 | | Density function f(x) | 4 | | Documentation | 27 | | E | | | Restricted machine capability investigation | 25 | | Effective random sample size nₑ | 10, 24 | | Epps-Pulley test | 20, 26 | | Results evaluation | 28 | | Expected value for the w-distribution dₕ | 17 | | Eccentricity z | 7 | | F | | | Determination of capability | 8 | | Capability indexes cₘ and cₜₖ | 3, 9 | | Capability limit values | 18, 28 | | Production location | 3, 28 | | Production variation | 3, 8 | | Production sequence | 24 | | Degree of freedom | 18 | | G | | | Limit values of machine capability | 18, 28 | | H | | | Hampel test | 20 | | Frequency distribution | 10, 17 | | Upper limiting value G₀ | 3, 9 | | I | | | Probability of error α | 20 | Image Analysis: ### Image Analysis **Localization and Attribution:** - **Image Position:** Image 1 - **Image Description:** A page from a document titled "Keyword Index." The document appears to be a technical or academic resource with key terms and their corresponding page numbers. **Text Analysis:** - The text is organized into two main columns: - **Key Word:** Lists specific terms or keywords. - **Page:** Indicates the page numbers where each keyword can be found. **Detected Text:** - **Title and Sections:** - "Page 34" - "VW 101 30: 2005-02" - "8 Keyword index" - **Columns:** - Column 1: "Keyword | Page" - Column 2: Lists of key terms and page numbers. - **Keywords and Page Numbers:** - **A:** - Absolute frequency α: 10, 17 - Absolute cumulative frequency A: 17 - α-Risk: 20 - Alternative hypothesis: 20 - Fitted capability limit values: 19, 28 - Outlier: 20, 26 - Confidence level γ: 20, 26 - **B:** - Conditions for the machine capability investigation: 24 - β-Risk: 20 - Absolute value distribution, type I: 5, 11 - Absolute value distribution, type II: 7, 13 - Machine at operating temperature: 24 - **C:** - Capability: 3 - Chi-square distribution: 18 - **D:** - Data analysis: 25 - Density function f(x): 4 - Documentation: 27 - **E:** - Restricted machine capability investigation: 25 - Effective random sample size nₑ: 10, 24 - Epps-Pulley test: 20, 26 - Results evaluation: 28 - Expected value for the w-distribution dn: 17 - Eccentricity z: 7 - **F:** - Determination of capability: 8 - Capability indexes Cm and Cmk: 3, 9 - Capability limit values: 18, 28 - Production location: 3, 28 - Production variation: 3, 8 - Production sequence: 24 - Degree of freedom: 18 - **G:** - Limit values of machine capability: 18, 28 - **H:** - Hampel test: 20 - Frequency distribution: 10, 17 - Upper limiting value Go: 3, 9 - **I:** - Probability of error α: 20 **Color Analysis:** - **Color Composition:** - The image consists of black text on a white background. - This high contrast makes the text easily readable. **Perspective and Composition:** - **Perspective:** - The image is scanned or photographed from a top-down perspective, showing a flat view of a single page. - The text is well-centered and uniformly spaced. - **Composition:** - The page is laid out in a structured format with two main columns. - The header section indicates the page number and a title. - Keywords on the left are aligned flush, with corresponding page numbers uniformly placed on the right. **Contextual Significance:** - **Overall Context:** - This page appears to be part of a larger technical document or manual. - The keyword index serves as a reference guide, allowing readers to quickly locate specific topics within the document. **Conclusion:** The image is a page from a technical document titled "Keyword Index," which serves as a glossary or reference guide. It is well-organized with keyword terms and their corresponding page numbers, aiding the reader in navigating the document. The monochromatic color scheme, primarily black text on a white background, enhances readability, and the structured layout ensures easy information retrieval. #################### File: VW%2010130_EN%281%29.pdf Page: 36 Context: # Key word | Keyword | Page | |--------------------------------------------|------| | Statistical percentage range | 18 | | Sampling | 24 | | Random sample range | 24 | | Dispersion range limits | 3, 10| | Swed-Eisenhard test | 20 | ## T | Term | Page | |-------------------------------------------|------| | Test - for outliers | 20, 26| | Test - for specified distribution model | 20, 26| | Test - for change of production location | 20, 26| | Tolerance expansion | 29 | | Tolerance zone | 3, 8 | | Toleranced characteristic | 4 | | Tolerance - on one side, upward | 9, 16| | Tolerance - on one side, downward | 9, 16| | Tolerance - on two sides | 9, 16| | Trend curve | 26 | ## V | Term | Page | |-------------------------------------------|------| | Variance σ² | 4 | | Distribution | 4 | | Distribution-free estimate | 16, 27| | Distribution function F(x) | 5 | | Distribution model | 4 | | Confidence range limit | 18 | | Premachining quality | 24 | ## W | Term | Page | |-------------------------------------------|------| | Probability p | 5 | | Probability density function f(x) | 4 | | Probability grid | 27 | | Weibull distribution | 8 | | Tooling change / adjustment | 24 | | w-Distribution | 17 | ## Z | Term | Page | |-------------------------------------------|------| | Random influences | 3 | Image Analysis: ### Text Analysis: **Image 1:** **Detected Text:** ``` Page 36 VW 101 30: 2005-02 Key word Page Statistical percentage range 18 Sampling 24 Random sample range 24 Dispersion range limits 3, 10 Swed-Eisenhard test 20 T Test - for outliers 20, 26 - for specified distribution model 20, 26 - for change of distribution location 20, 26 Tolerance expansion 29 Tolerance zone 3, 8 Toleranced characteristic 4 - on one side, upward 9, 16 - on one side, downward 9, 16 - on two sides 9, 16 Trend curve 26 V Variance σ Distribution Distribution-free estimate 16, 27 Distribution function f(x) 5 Distribution model 4 Confidence range limit 18 Premachining quality 24 W Probability p 5 Probability density function f(x) 4 Probability grid 27 Weibull distribution 8 Tooling change / adjustment 24 w-Distribution 17 Z Random influences 3 ``` **Analysis:** - The text is mainly a table of contents from section "Key word" to keywords starting with "Z". - This table of contents is designed to guide readers to specific sections and pages where defined terms or concepts are discussed within the document. - Each keyword is associated with a page number or numbers, indicating where the information can be found. - This structured layout suggests it is part of a manual, guide, or technical document, facilitating ease of navigation for the reader. ### Localization and Attribution: **Image 1:** - This image appears to be a single page, possibly from a larger document, identified at the top as "Page 36". ### Metadata Analysis: - No metadata is available from the image itself to provide further context or technical details about the capture conditions or date. ### Contextual Significance: - Given that the text is a table of contents/page index, it is crucial for navigating the document effectively. - The inclusion of page numbers suggests a well-organized document aimed at technical professionals who require quick access to specific sections. ### Perspective and Composition: **Image 1:** - The image is captured from a straight-on, eye-level perspective, making the text easy to read and uniformly aligned. - The layout is typical for a contents page, likely taken from a technical document or manual, suggesting an organized and methodical composition. ### Color Analysis: - The image is in black and white, which is typical for textual documents to maintain clarity and minimize distractions. - Dominant color: Black text on white background, providing high contrast for optimal readability. ### Diagram and Chart Analysis: - There are no diagrams or charts to analyze in this image. ### Object Detection and Classification: - The image consists purely of text, with no other objects detected. This comprehensive analysis covers all relevant aspects that can be derived from the provided image content. #################### File: VW%2010130_DE%281%29.pdf Page: 3 Context: ### Trend and Interpretation - **Image 1:** - **Trends:** The focus on maintaining high capability indices to ensure quality production. - **Interpretations:** Reinforces the need for precise control and monitoring in manufacturing processes. ### Tables (Included Internally) - **Image 1:** - **Analyzed Elements:** - Not applicable as there are no separate tables outside of the chart/diagram analyzed. This comprehensive analysis covers the various aspects of the image while highlighting the important technical elements provided in the document. #################### File: VW%2010130_DE%281%29.pdf Page: 6 Context: # Seite 6 ## VW 101 30: 2005-02 Das Bild 3 zeigt Dichtefunktionen, die sich aus der Faltung der Dichte der Normalverteilung bei verschiedenen Nullpunktverschiebungen ergeben. ![Bild 3 - Dichtefunktion der Betragverteilung 1. Art mit verschiedenen Nullpunktverschiebungen](path_to_image) ### Mittelwert und Varianz der Betragverteilung 1. Art lauten: \[ \mu = \mu_N \left( \frac{H_N}{\sigma_N} - \frac{-\mu_N}{\sigma_N} \right) + \frac{2 \cdot \sigma_N}{\sqrt{2\pi}} e^{-\frac{|\mu|}{2 \sigma^2}} \tag{1.9} \] \[ \sigma^2 = \sigma_N^2 + \mu_N^2 \tag{1.10} \] Für den Fall einer Nullpunktverschiebung \(\mu_N = 0\) ergibt sich aus (1.9) und (1.10): \[ \mu = \frac{2 \cdot \sigma_N}{\sqrt{2\pi}} \tag{1.11} \] \[ \sigma^2 = \left( \frac{1 - \frac{2}{\pi}}{2} \right) \sigma_N^2 \tag{1.12} \] Wie Bild 3 zeigt, nähert sich die Betragverteilung 1. Art mit zunehmender Nullpunktverschiebung einer Normalverteilung. Somit kann für den Fall \(\frac{\mu}{\sigma} \geq 3\) die Betragverteilung 1. Art mit guter Näherung durch eine Normalverteilung ersetzt werden. Image Analysis: ### Analysis of the Attached Visual Content #### 1. Localization and Attribution - The attached content consists of a single page. - Only one image is present on the page, which includes a diagram/graph. #### 2. Object Detection and Classification - **Image 1:** - Objects: Graph with multiple lines representing different data sets. - Key Features: The graph has labeled axes, multiple curves with different characteristics, and a legend indicating variances in data sets. #### 3. Scene and Activity Analysis - **Image 1:** - Scene: A graph illustrating different density functions. - Activities: Presentation of data showing how the folding of the density of the normal distribution results from various null point shifts. #### 4. Text Analysis - **Text in Image:** - Top of the page: "Seite 6" (Page 6), "VW 101 30: 2005-02." - Below the graph: "Das Bild 3 zeigt Dichtefunktionen, die sich aus der Faltung der Dichte der Normalverteilung bei verschiedenen Nullpunktverschiebungen ergeben." - Translation: "Figure 3 shows density functions that result from the folding of the density of the normal distribution for various null point shifts." - Graph Title: "Bild 3 - Dichtefunktion der Betragsverteilung 1. Art mit verschiedenen Nullpunktverschiebungen" - Translation: "Figure 3 - Density Function of the First Kind Distribution with Different Null Point Shifts." - Equations at the bottom with references (1.9), (1.10), etc., providing formulas for mean and variance calculations: - μ = ... (equation 1.9) - σ² = ... (equation 1.10) - Additional details are provided on calculations and implications of null point shifts. #### 5. Diagram and Chart Analysis - **Axes:** - X-axis: "Merkmalswert" (Feature Value) ranges from 0 to 6σN. - Y-axis: "Wahrscheinlichkeitdichte" (Probability Density). - **Legend and Data Visualization:** - Multiple curves indicate different μN values (μN = 0, μN = 1σN, μN = 2σN, μN = 3σN). - Each curve represents a varying null point shift, illustrating changes in the density function. - **Key Insights:** - The graph shows that as the null point shift (μN) increases, the density function changes. - The spread and peak of the curves illustrate how the distribution varies with different μN values. #### 12. Graph and Trend Analysis - **Trends:** - For μN = 0, the curve resembles a normal distribution. - As μN increases (1σN, 2σN, 3σN), the peak of the curves shifts, becoming less centralized and more spread out. - **Data Points:** - The graphs indicate a progressive shift and broadening of the distribution as μN increases. #### 13. Graph Numbers - **Data Points:** - Exact numerical values are not provided in the graph itself, but the trend illustrates a continuous and smooth transition in density functions with increasing μN. #### Process Descriptions and Contextual Significance - **Context:** - The diagram and equations provide a mathematical explanation for distribution density functions influenced by null point shifts. - **Process Descriptions:** - The text explains the derivation of mean (μ) and variance (σ²) formulas for the first kind of distribution. - It indicates that as the null point shift increases, the distribution approximates normal distribution properties, showing that for large shifts (μ/σ ≥ 3), the first kind of distribution can be effectively replaced by a normal distribution. #### Conclusion - The attached visual content gives a detailed mathematical and graphical representation of how density functions change with various null point shifts. It is clear that as shifts increase, the distributions adjust in their variance and mean, becoming comparable to regular normal distributions for large shifts. The equations and graph provide a comprehensive understanding of these changes. #################### File: VW%2010130_DE%281%29.pdf Page: 8 Context: # Seite 8 ## VW 101 30: 2005-02 \[ \mu = \int f_{G2}(r) \cdot r \cdot dr \quad (1.16) \] \[ \sigma^2 = 2 \cdot \sigma_N^2 + z^2 - \mu^2 \quad (1.17) \] Für den Fall einer Exzentrizität \( z = 0 \) ergeben sich aus (1.14) und (1.15) Dichtefunktion und Verteilungsfunktion der Weibull-Verteilung mit dem Formparameterwert 2: \[ f_{G2}(r) = \frac{r}{\sigma_N} \cdot e^{-\left(\frac{r}{\sigma_N}\right)^2} \quad (1.18) \] \[ F_{G2}(r) = 1 - e^{-\left(\frac{r}{\sigma_N}\right)^2} \quad (1.19) \] und daraus wiederum Mittelwert und Varianz: \[ \mu = \sigma_N \cdot \sqrt{\frac{\pi}{2}} \quad (1.20) \] \[ \sigma^2 = \left(2 - \frac{\pi}{2}\right) \cdot \sigma_N^2 \quad (1.21) \] Wie Bild 4 zeigt, nähert sich die Betragsverteilung 2. Art mit zunehmender Exzentrizität einer Normalverteilung. Somit kann für den Fall \[ \frac{\mu}{\sigma} \geq 6 \quad (1.22) \] die Betragsverteilung 2. Art mit guter Näherung durch eine Normalverteilung ersetzt werden. ## 3.2 Fähigkeitensermittlung Die Fähigkeitenkennwerte \( c_n \) und \( c_{pk} \) geben an, wie gut die Fertigungsergebnisse das Toleranzintervall eines betrachteten Merkmals einhalten. Dabei wird durch den \( c_n \)-Wert nur die Fertigungsstreuung berücksichtigt. Die Fertigungslage wird durch den \( c_{pk} \)-Wert berücksichtigt. Damit lässt sich einerseits ausdrücken, welcher Wert bei einer idealen Fertigungslage möglich ist, und andererseits lässt sich durch Vergleich der beiden Werte ausdrücken, wie stark die Fertigungslage vom Sollwert abweicht. Je größer die ermittelten Fähigkeitenkennwerte sind, desto besser ist die Fertigung. Zur Ermittlung der Fähigkeitenkennwerte gibt es verschiedene Auswertemethoden, die dem jeweiligen Fall entsprechend auszuwählen sind. Da die Ermittlung der Fähigkeitenkennwerte nur aus Stichproben erfolgen kann, sind die Ergebnisse nur Schätzungen der gesuchten Werte der Grundgesamtheit und sind somit durch ein Dach-Symbol gekennzeichnet. Image Analysis: ### Image Analysis #### Localization and Attribution - **Image 1**: Located at the top of the page. Contains mathematical formulas and text. - **Image 2**: Located at the bottom portion of the page. Contains a section header and a detailed paragraph with some footnotes. #### Text Analysis - **Image 1**: - **Formulas and Equations**: - \( \mu = \int_0^r f_{32}(r) \cdot r \cdot dr \) (1.16) - \( \sigma^2 = 2r_N^2 + z^2 - \mu^2 \) (1.17) - \( f_{32}(r) = \left( \frac{r}{\sigma_N} \right) \cdot e^{-\left( \frac{r}{\sigma_N} \right)^2} \) (1.18) - \( F_{32}(r) = 1 - e^{-\left( \frac{r}{\sigma_N} \right)^2} \) (1.19) - \( \mu = \sigma_N \cdot \sqrt{\frac{\pi}{2}} \) (1.20) - \( \sigma^2 = \left( 2 - \frac{\pi}{2} \right) \cdot \sigma_N^2 \) (1.21) - \( \frac{\mu}{\sigma} \geq 6 \) (1.22) - **Description**: - The text and formulas describe the calculation of the mean (\( \mu \)) and variance (\( \sigma^2 \)) of a distribution, particularly focusing on the case with zero eccentricity. The Weibull distribution with a shape parameter of 2 is utilized, and the resulting density and distribution functions are explained and formulated. The image also notes the approximation to a normal distribution under certain conditions. - **Image 2**: - **Header**: - "3.2 Fähigkeits­ermittlung" (3.2 Capability Determination) - **Paragraph**: - Discusses the capability indices Cp and Cpk, explaining their significance in assessing the conformity of production outcomes with tolerance intervals. The text elaborates on how these indices are calculated and the information they provide about the production process and its adherence to target values. - It mentions that estimated capability indices are marked with a roof symbol and suggests this notation is for theoretical purposes and may not be necessary for practical evaluations. - **Footnotes**: - Die Kennzeichnung der geschätzten Fähigkeitskennwerte durch ein Dach-Symbol ist nur zum Verständnis der Theorie von Bedeutung, so dass bei den Auswertungen in der Praxis darauf verzichtet werden kann. (The marking of estimated capability indices with a roof symbol is only for theoretical understanding, so in practical evaluations, it can be omitted.) #### Contextual Significance - **Mathematical Context**: - The formulas and text in **Image 1** provide a detailed mathematical treatment of the calculation of statistical measures (mean and variance) in specific distribution contexts, emphasizing their approximation to well-known distributions like the normal distribution. - **Practical Context**: - **Image 2** delves into the practical aspects of quality control in manufacturing, specifically addressing how capability indices (\( C_p \), \( C_{pk} \)) are used to assess how well production processes meet specified quality targets. This section is crucial for understanding the practical application of statistical methods in quality management. ### Summary The document page integrates detailed mathematical equations and theoretical explanations of distribution functions, particularly the Weibull distribution, in its upper section. The lower section transitions to a practical discussion on the determination of capability indices, underscoring their importance in the manufacturing process and quality control. #################### File: VW%2010130_DE%281%29.pdf Page: 14 Context: # Seite 14 VW 101 30: 2005-02 Die gesuchten Parameterwerte der Betragsverteilung 2. Art lassen sich somit unter der Bedingung (2.23) durch \[ \hat{d}_{N} = \hat{d} \cdot \frac{1 + \left( \frac{\hat{\beta}}{\hat{d}} \right)^{2}}{2 + \left( \frac{\hat{\epsilon}}{\hat{d}} \right)^{2}} \quad (2.24) \] \[ \hat{z} = \hat{z}_{2} \cdot \hat{d}_{N} \quad (2.25) \] schätzen, wobei \[ \hat{z}_{2} = \frac{\hat{\beta}}{\hat{d}} : \text{inverse Funktion von (2.22)} \] Für den Fall, dass das Verhältnis \(\hat{\beta} / \hat{d}\) aufgrund von Zufallsabweichungen der Stichprobenkenngrößen kleiner ist als der Grenzwert 1,9131 aus der Bedingung (2.23), wird das Verhältnis \(\hat{\beta} / \hat{d}\) auf diesen Grenzwert gesetzt, bei dem sich die folgenden Parameterwerte ergeben: \[ \hat{z} = 0 \quad \text{und nach Formel (1.21)} \] \[ \hat{d}_{N} = \sqrt{\frac{2}{4 - \pi}} \cdot \hat{d} = 1,526 \cdot \hat{d} \quad (2.26) \] Der Zusammenhang zwischen den Parameterwerten \(z\) und \(\hat{d}\) der Betragsverteilung 2. Art und den statistischen Kennwerten \(\mu\) und \(\sigma\) ist in Bild 7 auf der nächsten Seite grafisch dargestellt. ![Bild 7 - Relative Parameterwerte der Betragsverteilung 2. Art in Abhängigkeit von der relativen Lage](path/to/image) **Bild 7 - Relative Parameterwerte der Betragsverteilung 2. Art in Abhängigkeit von der relativen Lage** relative Lage \( \mu / \sigma \) Image Analysis: **Analysis of the Visual Content** **Image Localization and Attribution:** - There is one image on the page, referred to as Image 1. **Object Detection and Classification:** - Image 1 contains a graph, mathematical equations, and a text explaining the equations and the graph. **Text Analysis:** - **Top of the Page:** - Subtitle: "Seite 14" (Page 14) - Document identifier: "VW 101 30: 2005-02" - **Mathematical Equations:** - The mathematical text appears to be explaining parameter values of a certain distribution. Equations (2.24), (2.25), and (2.26) are referenced. - Supporting text mentions conditions and critical values for parameters µ (mean), σ (standard deviation), and related parameters. - **Graph Caption:** - "Bild 7 - Relative Parameterwerte der Betragsverteilung 2. Art in Abhängigkeit von der relativen Lage" - Translation: "Figure 7 - Relative parameter values of the magnitude distribution of the 2nd kind depending on the relative position." **Diagram and Chart Analysis:** - **Type:** Line graph. - **Axes:** - X-axis labeled "relative Lage µ / σ" (relative position µ / σ), ranges from 1.5 to 6.0. - Y-axis labeled "relativer Verteilungsparameter" (relative distribution parameter), ranges from 0 to 7. - **Data and Trends:** - The graph has two curves representing \( \frac{Z}{\sigma} \) and \( \frac{\sigma_N}{\sigma} \). - \( \frac{Z}{\sigma} \) increases monotonically. - \( \frac{\sigma_N}{\sigma} \) displays a trend starting low and increasing before plateauing at higher values. **Perspective and Composition:** - **Perspective:** - The image is a frontal view of a page, ensuring ease of reading and analysis. - **Composition:** - The text explains the context and equations are placed above the graph. - The graph stands alone at the bottom, clear and uncluttered, making it easy to interpret. **Contextual Significance:** - **In the Document:** - This page, labeled "Seite 14," is part of a larger document, suggesting it is in the middle of a section discussing statistical distribution parameters. - The graph (Figure 7) visually represents the relationship between relative positions and distribution parameters, reinforcing the equations and textual explanations provided above it. **Metadata Analysis:** - No metadata such as capture date or camera settings are available from the image. The content likely originates from a scanned or digital academic or technical document. **Graph Numbers:** - The precise data points on the curves are not explicitly given in the graph but are typically interpolated within the drawn curves. --- This detailed examination should help in understanding the context and significance of the provided page, with a focus on statistical distribution analysis. If there's any more specific aspect or deeper analysis desired, feel free to ask! #################### File: VW%2010130_DE%281%29.pdf Page: 35 Context: # Stichwortverzeichnis | Stichwort | Seite | |---------------------------------------------|-------| | S | | | Schätzung / Schätzwert | 8, 9 | | Schwellenwert | 20 | | Serienbedingungen | 24 | | signifikante Änderung / Abweichung | 17 | | Spannweite R | | | Standardabweichung σ | 4, 10 | | standardisierte Normalverteilung | 5 | | - U-Transformation | | | - Verteilungsfunktion Φ(μ) | | | - Wahrscheinlichkeitsdichtefunktion f(x) | | | statistische Tests | | | statistische Toleranzrechnung | | | statistischer Anteilsbereich | | | Stichprobenahme | 24 | | Stichprobenumfang | 24 | | Streuungsgrenzen | 3, 10 | | Swed-Eisenhard-Test | 20 | | T | | | Test | | | - auf Ausreißer | 20, 26 | | - auf festgelegtes Verteilungsmodell | 20, 26 | | - auf Änderung der Fertigungslage | 20, 26 | | Toleranzerweiterung | 29 | | Toleranzintervall | 3, 8 | | toleriertes Merkmal | 4 | | - einseitig nach oben | 9, 16 | | - einseitig nach unten | 9, 16 | | - zweiseitig | 9, 16 | | Trendverlauf | 26 | | V | | | Varianz σ² | 4 | | Verteilung | 4 | | Verteilungsfreie Schätzung | 16, 27 | | Verteilungsfunktion F(x) | | | Verteilungsmodell | 4 | | Vertrauensbereichsgrenze | 18 | | Verbesserungsgüte | | | W | | | Wahrscheinlichkeit p | 5 | | Wahrscheinlichkeitsdichtefunktion f | | | Wahrscheinlichkeitnetz | 27 | | Publizitätverteilung | 28 | | Werkzeugwechsel / -verstellung | 24 | | Z | | | Zufallseinflüsse | 3 | Image Analysis: ## Comprehensive Examination Report: ### 1. Localization and Attribution - **Image 1:** This is the single image provided for analysis. It spans the entire page. ### 2. Object Detection and Classification - **Detected Objects:** - The image contains text, which appears to be an index or a list. - Objects: Columns of text. ### 3. Scene and Activity Analysis - **Scene Description:** - The scene consists of a neatly organized document page featuring an index or table of contents. - **Activities:** - No human activity is depicted. The action here is the informational purpose of the index. ### 4. Text Analysis - **Text Extraction:** - The page contains several keywords and their corresponding page numbers. - Column Headers: "Stichwort" (Keyword), "Seite" (Page). - Keywords: Various terms listed alphabetically with their page numbers. - Keywords span letters S to Z, with different associated numerical entries. - **Content Significance:** - The text appears to be from an index of a document or book, helping users find specific topics or terms. It's part of a larger document identified by "VW 101 30: 2005-02" on page 35. ### 7. Anomaly Detection - **Possible Anomalies:** - None detected. The index appears standard and formatted correctly. ### 8. Color Analysis - **Color Composition:** - Dominant Color: Black text on a white background. - The lack of other colors ensures clear readability and high contrast, aiding user navigation. ### 9. Perspective and Composition - **Perspective:** - The image is taken from a direct, head-on perspective typical for a document scan. - **Composition:** - The text is organized in two main columns with keywords on the left and corresponding page numbers on the right. The format is clean and structured, allowing easy navigation. ### 13. Graph Numbers - **Data Points:** - Keywords and page numbers are listed as follows: - **S:** - Schätzung: 8, 9 - Schätzwert: 8, 9 - Schwellenwert: 20 - Serienbedingungen: 24 - signifikante Änderung / Abweichung: 16 - Spannweite R: 17 - Standardabweichung: 4, 10 - standardisierte Normalverteilung: 5 - U-Transformation: 20 - Verteilungsfunktion: 16, 27 - Wahrscheinlichkeit: 4, 5 - statistische Toleranzrechnung: 29 - Werkzeugwechsel - verstellung: 24 - Zufalls einflüsse: 3 ### Additional Aspects - **Process Flows and Descriptions:** - Not applicable. This index page does not depict specific process flows or detailed process descriptions. - **Trend and Interpretation:** - Trends are not applicable because the image is an index page, not presenting trends or data variations. ### Summary - The image consists of page 35 from a larger document, labeled "VW 101 30: 2005-02." - It provides an alphabetical index of terms starting from "S" to "Z" and their associated page numbers. - The clean layout is functional, enhancing the ease with which users can locate topics within the document. #################### File: 22121726223700_lah___wsk_016_862_ae_1_v1_11%281%29.pdf Page: 9 Context: # Anforderungen Dichtflächen **WSK 016 862 AE** **Version 1.0** ## 5. Messtechnische Erfassung und Auswertung der Kreuzschnittqualitätskriterien Die messtechnische Erfassung und Auswertung der Kreuzschnittqualitätskriterien: - zulässige Tiefendifferenz der sich kreuzenden Bearbeitungsrillen - Kreuzschnittwinkel - Maschinenweite Kreuzschnittstruktur (RSm) sowie - zulässiger Profilstufensprung gemäß PV 5111 sollte auf Basis der Erfahrungen des Auftraggebers mit Weißlichtinterferometrie-, taktilen und optischen (Konfokal-) Messsystemen/-verfahren vorzugsweise unter Nutzung eines optischen (Konfokal-) Messsystems/-verfahrens erfolgen. Alternativ kann ein (optisches) Fokusvariationsmessverfahren zum Einsatz kommen, sofern der Nachweis der Ergebnis­korrelation im Vergleich zu den Resultaten unter Nutzung eines optischen (Konfokal-) Messsystems/-verfahrens erbracht wurde. Die Messpositionen in Bezug auf die jeweilige Flanschfläche sind auf Basis der zwischen Lieferant und Auftraggeber abgestimmten und für die Serienumsetzung vereinbarten Ergebnisse der Optimierungsregistrierung der zugehörigen Kreuzschnittsimulation festzulegen. Im Minimum muss (je Flanschfläche) ein messtechnischer Nachweis der Kreuzschnittqualitätskriterien in zwei – drei Flanschbereichen mit idealer, spezifikationskonformer Kreuzschnittqualität sowie in allen Flanschbereichen erfolgen, welche (die vereinbarungsgemäßen) Abweichungen zu den Vorgaben aufweisen. Die Größe des jeweiligen Messbereiches an den singulären Positionen wird auf minimal (4 x 4) mm festgelegt. Im Messbereich sind für die einzelnen Kreuzschnittqualitätskriterien jeweils die Minimal-, Maximal- und (arithmetischen) Mittelwerte darzustellen sowie jeweils zu kennzeichnen, ob das betreffende Merkmal den Zeichnungsvorgaben bzw. den Sollwerten gemäß CAD-Datensatz (unter Zugrundelegung der in Kapitel 7 genannten Toleranzbereiche) entspricht. Image Analysis: ### Localization and Attribution - **Image 1**: The image represents a single page from a document titled "Anforderung Dichtflächen" from Volkswagen. ### Text Analysis #### Extracted Text: ``` VOLKSWAGEN Anforderung Dichtflächen WSK 016 862 AE Version 1.0 5. Messtechnische Erfassung und Auswertung der Kreuzschnittqualitätsskriterien Die messtechnische Erfassung und Auswertung der Kreuzschnittqualitätsskriterien *zulässige Tiefendifferenz der sich kreuzenden Bearbeitungsrillen *Kreuzschnittwinkel * Maschenweite Kreuzschnittstruktur (RSm) sowie * zulässiger Profilstufensprung gemäß PV 5111 sollte auf Basis der Erfahrungen des Auftraggebers mit Weisslichtinterferometrie-, taktilen und optischen (Konfokal-) Messsystemen/-verfahren vorzugsweise unter Nutzung eines optischen (Konfokal-) Messsystems/-verfahrens erfolgen. Alternativ kann ein (optisches) Fokusvariationsmessverfahren zum Einsatz kommen, sofern der Nachweis der Ergebniskorrelation im Vergleich zu den Resultaten unter Nutzung eines optischen (Konfokal-) Messsystems/-verfahrens erbracht wurde. Die Messpositionen in Bezug auf die jeweilige Flanschfläche sind auf Basis der zwischen Lieferant und Auftraggeber abgestimmten und für die Serienumsetzung vereinbarten Ergebnisse der Optimierungsiteration der zugehörigen Kreuzschnittsimulation festzulegen. Im Mindestern muss (je Flanschfläche) ein messtechnischer Nachweis der Kreuzschnittqualitätskriterien in zwei – drei Flanschbereichen mit idealer, spezifikationskonformer Kreuzschnittqualität sowie in allen Flanschbereichen erfolgen, welche (die vereinbarungsgemäßen) Abweichungen zu den Vorgaben aufweisen. Die Grösse des jeweiligen Messbereiches a den singulären Positionen wird auf minimal (4 x 4)mm festgelegt. Im Messbericht sind für die einzelnen Kreuzschnittqualitätskriterien jeweils die Minimal-, Maxwell -und (artimelchen) Mittelwerte darzustellen sowie ist jeweils zu kennzeichnen, ob das betreffende Merkmal den Zeichnungsvorgaben bzw. den Sollwerten gemäß CAD- Datensatz (unter Zugeundelegung der in Kapitel 7 genannten Toleranzbereiche) entspricht. F. Röthlingshöfer/IEM-514 Version 1.0 vom 02.03.2023 | Anforderung Dichtflächen Seite 9 von 13 ``` #### Content Analysis: - **Title**: The title "Anforderung Dichtflächen" indicates the document pertains to requirements for sealing surfaces, particularly "WSK 016 862 AE Version 1.0". - **Key Sections**: - "Messtechnische Erfassung und Auswertung der Kreuzschnittqualitätsskriterien" focuses on the metrological recording and evaluation of cross-section quality criteria. - Lists allowable differences in cross-section parameters such as depth differences, cross-section angles, mesh width of the cross-section structure (RSm), and permissible profile step jumps according to PV 5111. - Emphasizes the importance of using optical (confocal) measurement systems and the flexibility to use focal variation measurement techniques if correlation can be verified. - Specifies the measurement positions related to the flange surfaces in coordination with the supplier and customer, emphasizing the necessity of agreement for production implementation. - Highlights the need for demonstrating compliance with cross-section quality criteria in at least two to three flange areas with ideal conformance and within all flange areas having deviations per agreement. - Measurement areas are defined as minimum (4 x 4)mm positions, and reports should display minimal, maximal, and mean values for the cross-section quality criteria, marking compliance with the CAD-dataset specifications and tolerances. ### Scene and Activity Analysis - **Scene**: This is a textual document, specifically a technical standard or requirement document from Volkswagen. - **Activity**: The document sets out guidelines and criteria for measurements and assessments concerning sealing surfaces, specifically their cross-sectional quality. ### Additional Contextual Significance - This document is likely a technical standard intended for engineers and quality assurance professionals involved in manufacturing or inspection processes. It outlines the necessary measurement techniques and criteria for assessing the quality of sealing surfaces, ensuring consistency and adherence to specific tolerances. ### Metadata Analysis - **Document Creation**: Version 1.0 of the document was created on March 2, 2023, denoted at the bottom of the page. - **Author**: F. Röthlingshöfer / IEM-514 is mentioned, indicating the individual responsible for the document preparation. This detailed analysis breaks down the core elements and requirements described in the document, providing insights into its purpose and application in quality assurance for manufacturing processes. #################### File: 22121726223700_lah___wsk_016_862_ae_1_v1_11%281%29.pdf Page: 11 Context: ### Additional Aspects #### **Prozessbeschreibungen (Process Descriptions):** - The document provides detailed process descriptions related to maintaining machining quality attributes, focusing on the permissible depth difference in cross-sectional cuts. #### **Typen Bezeichnung (Type Designations):** - Specific types or categories related to machining processes are designated in the points listed, such as "exact alignment of the milling head", "play-free and deformation-free spindle guidance", and "monitoring of spindle or bearing damage". #### **Tables:** - There are no tables presented in the visual content. ### Conclusion This analysis of the provided visual content reveals the document is a detailed guideline for ensuring a specific machining quality attribute. Each section is meticulously outlined to guide engineers or machinists in maintaining the cross-sectional quality characteristic, with stringent conditions and requirements listed to ensure precision and consistency in the machining process. #################### File: Standardanschreiben%281%29.pdf Page: 2 Context: # Škoda AUTO a.s. VÁCLAVA KLEMENTA 869, 293 60 Mladá Boleslav --- **Purchaser:** Michala Senkyrova **Department:** Beschaffung Aggregatenfertigung und Infrastruktur **Telephone:** **E-Mail:** Michala.Senkyrova@skoda-auto.cz **Date:** Jun 26, 2024 --- **Inquiry no.:** SK 2024 001598 Dear Sir or Madam, Please submit a non-binding, free-of-charge offer based on our terms and conditions (as listed below) and using the attached documents for: **Obráběcí linka motorové skříně MGH SSP / Machining line of the SSP E-drive motor box** Please submit your bid via the Group business platform. For technical queries, please contact: **First Name Last Name** Georgy.Komarov@skoda-auto.cz The terms and conditions below apply: - General Purchase Terms and Conditions of ŠKODA AUTO a.s. (04/2024) The current version of the terms and conditions can be found at [VW Group Supply](http://www.vwgroupsupply.com) at: Cooperation information / Purchasing Conditions Quotations submitted after the deadline will not be considered. Yours sincerely, p.p. Jiří Kulich p.p. Michala Senkyrova --- This letter was generated automatically and is valid without a signature. --- ŠKODA AUTO a.s. T.E.: Václava Klementa 869, 293 60 Mladá Boleslav, Czech Republic IČO: 00220173, Městský soud v Praze B 332 T * +420202281111 Jun 26, 2024 | SK BA/2 | KSU 6.1 - 15 years | confidential Image Analysis: ### 1. **Localization and Attribution:** There is only one page with a single image of a letter. We will refer to this as **Image 1**. ### 4. **Text Analysis:** The text on the document contains details related to a formal inquiry or request for a bid submission. **Extracted Text:** - **Company Information:** - Skoda AUTO a.s. - Address: Václava Klementa 869, 293 60 Mladá Boleslav - **Inquiry Information:** - Inquiry no.: SK 2024 001598 - Date: Jun 26, 2024 - **Context of the Inquiry:** - The letter requests a non-binding, free-of-charge offer based on specified terms and conditions. - The specific item for the bid is "Machining line of the SSP E-drive motor box". - **Contact Information:** - Purchaser: Michala Senkyrova - Department: Beschaffung Aggregatefertigung und Infrastruktur - E-Mail: Michala.Senkyrova@skoda-auto.cz - For technical queries: Georgy.Komarov@skoda-auto.cz - **Additional Information:** - Mention of the necessity to submit bids via the Group business platform. - Quotes submitted after the deadline will not be considered. - **Signature Block:** - p.p. Jiří Kulich - p.p. Michala Senkyrova **Significance:** The text is significant in the context of procurement and offers a formal request for proposal. It details the requirements and the method of submission for a specific project within the automotive company Skoda AUTO a.s. ### 6. **Product Analysis:** The focus is on the "Machining line of the SSP E-drive motor box." This implies a sophisticated production setup likely requiring advanced machinery designed for precision manufacturing within the automotive sector. ### 8. **Color Analysis:** The color scheme is predominantly white with black text, which is standard for formal business documents. There is also a green logo of Skoda at the top right, which adds brand identity and recognition to the document. ### 9. **Perspective and Composition:** The document is presented in a straightforward, top-down view commonly used for scanning or digital documentation. The composition follows conventional business format with a letterhead providing company details, followed by the body of the message and ending with signatures and disclaimers. ### 10. **Contextual Significance:** This image serves as an official communication for procurement purposes within Skoda AUTO a.s. It addresses professional relationships with suppliers and clearly sets out the requirements and terms for submission of business proposals. ### 12. **Graph and Trend Analysis:** No graphs or trends are presented in this document. ### 13. **Ablaufprozesse (Process Flows):** There are no direct process flows described in the image. ### 14. **Prozessbeschreibungen (Process Descriptions):** The document does not provide detailed descriptions of processes within the image. ### 16. **Trend and Interpretation:** No visual trends are depicted. The text primarily serves as a static formal request for a bid. ### 17. **Tables:** No tables are present in the image. This analysis captures the essential components and purpose of the document, helping understand its function within the procurement process of Skoda AUTO a.s. #################### File: 240911_Skoda_Automation_GGH_Portal_direkt.pptx Page: 1 Context: # Skoda SSP Getriebegehäuse (GGH) Automation **Date:** 2024-09-13 **Author:** Ralf Haug --- ## Overview FFG provides automation solutions tailored for the Skoda SSP Getriebegehäuse (GGH) production. Our approach integrates cutting-edge technology with industry expertise to enhance productivity and efficiency. ## Key Features - **High Precision:** Ensures exact specifications are met. - **Scalability:** Adapts to varying production volumes. - **User-Friendly Interface:** Simplifies operation and monitoring. ## Benefits 1. **Increased Efficiency** 2. **Reduced Downtime** 3. **Cost Savings** 4. **Enhanced Quality Control** ## Technical Specifications | Feature | Specification | |-----------------------|----------------------| | Maximum Production Rate | 1000 units/hour | | Automation Type | Fully Automated | | Control System | PLC based | ## Conclusion Implementing Skoda SSP Getriebegehäuse (GGH) automation will substantially improve operational performance and product quality. For more information, please contact our sales department. ## Contact Us - **Email:** sales@ffg.com - **Phone:** +49 123 456 789 --- **Copyright © 2004-2024 FFG** Image Analysis: ### Image Analysis Report #### Image Localization and Attribution - **Image 1**: This image is a single visual content presented. #### Object Detection and Classification - **Objects Detected**: - **Logos**: Present at the bottom of the image. - **Text**: Various text elements, including titles and descriptions. - **Diagram**: A large, faint background diagram of an industrial layout/plant. #### Scene and Activity Analysis - **Scene Description**: The image appears to be an industrial layout visualization with multiple textual overlays. - **Activities**: The scene depicts a structured and automated industrial process environment, likely related to automation in gear housing manufacturing. #### Text Analysis - **Extracted Text**: - "FFG" (logo) - ". . ." - "Skoda SSP Getriebegehäuse (GGH) Automation" - "2024-09-13, Ralf Haug" - A row of logos at the bottom of the image from various companies (e.g., VDF BOEHRINGER, CORCOM, DMC, FEELER, HESSAPP, IMAS, JOBS, LEADWELL, AG, Meccanodora, MORARA, PPTFFNER, RAMBAUDI, SACKMAN, SIGMA, SMS, SNK, TACCHELLA, Witzig & Frank) - **Text Significance**: - The text elements define the context of the image: it is related to automation in manufacturing processes for Skoda SSP Gear Housing (GGH), and includes a timestamp and author (Ralf Haug). - The multiple logos suggest collaboration or affiliations with numerous companies, indicating a diverse partnership network. #### Diagram and Chart Analysis - **Diagram**: It displays a blueprint of an industrial plant, suggesting a detailed layout of machinery and workflows. #### Product Analysis - **Depicted Products**: Not explicitly described or shown in focus; they are assumed to be related to gear housing automation based on the text. #### Anomaly Detection - **Notable Unusual Elements**: None identified. The image contains typical promotional and industrial layout elements. #### Color Analysis - **Color Composition**: - Dominant Color: Teal/Aquamarine - Impact: The teal color gives a modern, tech-oriented, and professional appeal, emphasizing high-tech industrial automation. #### Perspective and Composition - **Perspective**: The diagram background uses a top-view layout, typical for industrial plant drawings, offering a comprehensive view of the facility. - **Composition**: Centralized text overlays with various logos at the bottom. The background image provides context without overwhelming the textual information. #### Contextual Significance - **Overall Contribution**: - The image introduces or promotes a specific aspect of the Skoda SSP Getriebegehäuse (GGH) automation process and highlights the collaborative nature of the project with multiple partners. ### Summary This image is a high-level overview intended to convey the scope of an industrial automation project related to gear housing for Skoda SSP. It integrates text and visual elements to highlight the role of automation, the collaborative effort involved, and specific details such as the date and author, ensuring a professional and technically focused presentation. #################### File: 240911_Skoda_Automation_GGH_Portal_direkt.pptx Page: 4 Context: # Terminplan ## 7. Terminplan | Activity | 2024 | 2025 | 2026 | 2027 | |--------------------------|-------|-------|-------|-------| | Bestellungen | | | | | | Lieferung, Inbetriebnahme und Übergabe | 01/25 | | 04/26 | | | 1. Nach PX OP - komplette Automatisierung | | | | | | TB-PVs | | | | | | PUFSI | | | | | | SOP | | | | | **MAG TP folgt** Image Analysis: ### Detailed Analysis of the Image: #### 1. Localization and Attribution: - The image is located centrally on the page. - It will be designated as **Image 1**. #### 5. Diagram and Chart Analysis: - **Chart Type:** The chart is a Gantt chart showing a project timeline with activities and their durations. - **Axes:** - **Horizontal Axis:** Represents the timeline from 2024 to 2027, labeled by quarters (e.g., Q1/24, Q2/24). - **Vertical Axis:** Lists the different activities involved in the scheduling process. - **Legend:** - Different colored bars represent various activities over the timeline. #### 4. Text Analysis: - **Header:** "Terminplan" (translated: "Schedule/Timeline"). - **Activity Column:** - Key activities listed include: - Bestellungen (Orders) - Lieferung, Inbetriebnahme und Übergabe (Delivery, commissioning, and handover) - 1Bx.ZP OP + komplette Automatisierung (1Bx.ZP OP + complete automation) - TB+PVS - Nußler - Inbetriebnahme Nadelhakenbank (Commissioning of needle hook bank) - 2 Tage Produktion (2 days production) - SOP (Start of Production) - **Timeframes:** - Each activity is marked with specific start and end dates within the timeline. - For instance, "Bestellungen" is marked within H1/24 (First half of 2024) and extends into 01/25 (January 2025). #### 9. Perspective and Composition: - **Perspective:** The chart is viewed from a straight-on angle, making all data clearly visible. - **Composition:** The Gantt chart is centrally aligned, ensuring that the timeline is easy to follow from left to right. #### 10. Contextual Significance: - The image seems to be part of a presentation or a document about project management for "Skoda SSP GGH Automation". - The term "MAG TP folgt" (MAG TP follows) suggests that there will be subsequent detailed plans or timelines associated with MAG. #### 13. Graph Numbers: - **Activity Durations:** - "Bestellungen" spans from H1/24 to 01/25 - "Lieferung, Inbetriebnahme und Übergabe" spans 01/25 to 04/26 - Specific dates are indicated like "TB+PVS" is marked as 1/8/26 - "Nußler" marked 4/26 - 4/27 - SOP is marked around 01/27 ### Summary: - **Image 1** is focused on a Gantt chart displaying various activities over a project timeline from 2024 to 2027. - The chart presents a detailed project schedule relevant to "Skoda SSP GGH Automation." - The perspectives and compositions ensure clarity for readers to understand the timeline at a glance. - Contextually, this visualization is integral for attendees or readers to grasp the phases and scheduling of the project’s key activities. #################### File: 240911_Skoda_Automation_GGH_Portal_direkt.pptx Page: 5 Context: # Layout ## Manufacturing Line for VW SSP GGH **Basis:** WET - Central Coolant Filtration **OP:** OP 160 800 LND ### Dimensions - **Width:** 2982 mm - **Length:** 11982 mm ### MAG Content - **MAG Content** - **MAG Content** (suggest by customer) ### Extension | **Workbench / Workpoint** | **Type** | **Cycle Time** | **Production Volume** | |---------------------------|------------|----------------|-----------------------| | TBD | TBD | TBD | TBD | ### Notes - Data provided for evaluation only. - This document is for internal use. - Created with Aspose tools for Python via .NET 24.3. - . Image Analysis: ### Image Analysis #### 1. Localization and Attribution - **Image Number**: 1 (since it’s the only image in the document) - **Location on Page**: Centered prominently near the middle, occupying the majority of the space. #### 2. Object Detection and Classification - **Detected Objects**: - Multiple machinery components and layout structures - Flow lines and graphical representations of workstations - **Classification**: - Industrial machinery and equipment - Architectural layout for a manufacturing line #### 3. Scene and Activity Analysis - **Scene Description**: - The image depicts a manufacturing line for VW SSP GGH, including central coolant filtration. - **Activities**: - The layout likely represents different stages in the manufacturing process involving machinery and conveyor belts. #### 4. Text Analysis - **Detected Text**: - "Manufacturing Line for VW SSP GGH" - "Basis - WET - Central coolant filtration" - "Extension" - "Suggested by customer" - "MAG Content" - "Tuebert & Schuart" - "Plant: 0100 land" - "Typen Bezeichnung:" - Additional notes on workstations and layout metrics - **Significance**: - It provides an overview of the manufacturing process and equipment involved. - Text labels categorize sections of the manufacturing line and add metadata about the design and purpose. #### 5. Diagram and Chart Analysis - **Diagrams and Trends**: - A detailed layout diagram of a manufacturing line with indications of machinery placements and flow of materials. - Several graphical notations such as workstations and extensions. - **Axes, Scales, and Legends**: - The diagram includes a grid layout for precise measurements and placements. - Legends clarify the content (e.g., MAG Content, MAG Content proposed by the customer). #### 7. Anomaly Detection - **Anomalies**: - No noticeable anomalies detected. #### 9. Perspective and Composition - **Perspective**: - Top-down view (plan view) of the manufacturing line. - **Composition**: - The elements are systematically arranged to depict the flow and allocation of machinery and processing units. #### 10. Contextual Significance - **Overall Document Context**: - The layout provides critical information on the setup and process flows of a manufacturing line, likely used for planning and optimization purposes. - **Contribution to Overall Message**: - It communicates the precise planning and components involved in the manufacturing process, significant for engineers and plant managers. #### 14. Ablaufprozesse (Process Flows) - **Process Flows**: - The layout demonstrates the sequential flow of materials or products through various stages involving machinery and coolant filtration. #### 16. Typen Bezeichnung (Type Designations) - **Type Designations**: - Classifications related to machinery types, possibly specified as "MAG Content" and "Suggested by customer." #### 17. Trend and Interpretation - **Trends**: - The trend suggests a systematic layout designed to facilitate efficient manufacturing with minimal disruptions. - **Interpretation**: - Indicates a well-planned manufacturing process with flexibility for customer-suggested modifications. #### 18. Tables - **Table Content**: - Contains labeling and descriptions of various machinery and components involved in the manufacturing line layout. This detailed analysis of the manufacturing layout image provides a comprehensive understanding of the equipment and processes involved, essential for effective operational planning and execution. #################### File: 240911_Skoda_Automation_GGH_Portal_direkt.pptx Page: 8 Context: # Werkstücklagen ## WST Lage auf RT-Band - Seite 2 oben - Orientierung auf Palette wie in Vorrichtung OP10 - Werkstückabstand: 810mm ## Beladeposition - Ansicht durch Dachluke - **OP10** ## WST Lage auf FT-Band - Seite 2 oben - Orientierung auf Palette wie in Vorrichtung OP10 - Werkstückabstand: 810mm Image Analysis: ### Analysis of the Attached Visual Content: #### 1. Localization and Attribution: - **Image Identification and Positioning:** - The visual content consists of a single page displaying multiple images, diagrams, and text organized neatly. - **Images Numbering and Positioning:** - **Image 1:** Located towards the top-left (depicts mechanical parts oriented on a RT band). - **Image 2:** Located towards the center (depicts a process flow of mechanical setup). - **Image 3:** Located at the bottom-left (shows the beladeposition through the roof hatch). - **Image 4:** Located towards the top-right (depicts mechanical parts oriented on a FT band). #### 2. Object Detection and Classification: - **Image 1:** Shows what appears to be a mechanical gear or component with various cutouts. - **Key Features:** - Metallic appearance - Circular shape with multiple holes - **Image 2:** Depicts a detailed process flow diagram of a mechanical assembly setup. - **Key Features:** - Industrial machinery and conveyor lines - Various operational points labeled OP10 - **Image 3:** Displays a mechanical setup seen from a hatch perspective. - **Key Features:** - Cross-sectional view showing the interior arrangement - Machine parts and alignment - **Image 4:** Another depiction of a mechanical gear or component similar to Image 1. #### 3. Scene and Activity Analysis: - **Image 2:** Illustrates a manufacturing or automation process involving mechanical part handling. - **Main Actors and Actions:** - Machines with labeled operation points (OP10) - Conveyor belts transporting mechanical components #### 4. Text Analysis: - **Text Content:** - “Werkstücklagen”: Title indicating the image descriptions related to workpiece positions. - Descriptions for each image include: - “WST Lage auf RT-Band” (Image 1): Describes the orientation and positioning of parts on the RT band. - “Seite 2 oben”: Side 2 up - “Orientierung auf Palette wie in Vorrichtung OP10”: Orientation on the pallet as in fixture OP10 - “Werkstückabstand 810mm”: Workpiece spacing 810mm - “Beladeposition Ansicht durch Dachladeluke” (Image 3): Loading position view through the roof hatch. - “WST Lage auf FT-Band” (Image 4): Similar description as Image 1 but on an FT band. - “Seite 2 oben”: Side 2 up - “Orientierung auf Palette wie in Vorrichtung OP10”: Orientation on the pallet as in fixture OP10 - “Werkstückabstand 810mm”: Workpiece spacing 810mm - The company name and date, “VDF BOEHRINGER NAG” and “18.09.2024”, are displayed at the top right and bottom respectively. #### 5. Diagram and Chart Analysis: - **Image 2:** - This is a process flow diagram showing the layout and flow of operations for part handling and machining. - **Axes and Legends:** - Horizontal axis represents spatial layout in millimeters. - Labels such as OP10 denote operational points. #### 7. Anomaly Detection: - No noticeable anomalies or unusual elements in the diagrams and images. All elements appear relevant to the mechanical process flow. #### 8. Color Analysis: - **Dominant Colors:** - Blue: Used predominantly in the diagrams to highlight machinery and conveyor belts, providing clarity. - Green: Utilized to illustrate workpiece orientations and labeling guidelines. - Neutral tones: Such as gray and black, used for textual descriptions and part depictions. #### 9. Perspective and Composition: - **Perspective:** - The images are taken from a schematic or technical drawing perspective. - Image 3 presents an internal perspective through a roof hatch. - **Composition:** - Each image is well-organized to focus on specific aspects of the machinery setup and process flow. #### 10. Contextual Significance: - The images collectively contribute to illustrating a complex mechanical automation process, likely instructional for setting up or understanding a specific automation setup in a manufacturing context. #### 13. Graph Numbers: - Not applicable as there are no traditional graphs with data points in this visual content. ### Additional Aspects: #### Ablaufprozesse (Process Flows): - **Image 2:** Detailed process flow from the input of mechanical parts, through operational points (OP10), clearly indicating the automation stages. #### Prozessbeschreibungen (Process Descriptions): - Descriptions in German provide step-by-step guidelines for part orientation, spacing, and loading positions in the automation process. #### Typen Bezeichnung (Type Designations): - Operational points designated as OP10 to indicate specific process points in the mechanical setup. ### Conclusion: - The visual content provides valuable insights into the detailed process flow and setup instructions for part handling and machining in an industrial automation context. Every image and text contribute to explaining the mechanical assembly's specific orientations, loading positions, and processes, crucial for operational precision. #################### File: 240910_Skoda_Automation_MGH_Portal_direkt.pptx Page: 7 Context: # Portal Daten ## Portal Daten **Horizontal** - Vxmin = 3.5 m/s - axmin = 3 m/s² **Vertikal** - Vmaxin = 1.5 m/s - azmin = 3 m/s² ## Werkstückwechselzeiten | Typ | Zeit | |-----------------|---------------------| | OP10 | < 23s - siehe Ref-Wechsel-Video VW KS Perf | | OP20/30 | < 18s | | SPECHT 500 DUO | Spindelstand (Werkstückstand) | - **Überfahrhöhe**: xxx - **Bandhöhe**: ca. 1.000 mm Referenz: VW KS MGH Perf OP10 18.09.2024 Image Analysis: ### Image Analysis #### Localization and Attribution 1. **Image 1** - Position: Left side of the page - Mainly text-based content with portaldaten, werkstückwechselzeiten, and other data. 2. **Image 2** - Position: Right side of the page - A visual image depicting some mechanical components or parts. #### Object Detection and Classification - **Image 2** - Objects: Mechanical components, possibly parts of a machine or industrial equipment. - Key Features: Metallic appearance, intricate parts (likely components of a larger industrial machine). #### Scene and Activity Analysis - **Image 1** - Scene: Textual data presentation. - Activities: Presentation of information such as portaldaten and werkstückwechselzeiten. - **Image 2** - Scene: Industrial setting, likely a machinery workshop or manufacturing plant. - Activities: Display of mechanical parts, possibly indicating assembly or engineering processes. #### Text Analysis - **Image 1** - Detected text: - "Portaldaten" Horizontal: Vxmin= 3,5 m/s, azmin= 3 m/s² Vertikal: Vxmin= 1,5 m/s, azmin= 3 m/s² - "Werkstückwechselzeiten" OP10: <23s – siehe Ref-Wechsel-Video VW KS Perf OP20/30: <18s SPECHT 500 DUO: <20s - "Spindelabstand (Werkstückabstand)" xxx Bandhöhe ca. 1.000mm - **Analysis**: - The text presents operational data for machines. It describes portal speeds (both horizontal and vertical) and the times for workpiece changes in different operations. - This data is crucial for understanding the efficiency and capabilities of the machinery depicted. #### Color Analysis - **Image 1** - Dominant Colors: White background with green and blue text. - Impact: Gives a clean, professional appearance suitable for technical data presentation. - **Image 2** - Dominant Colors: Metallic gray and white. - Impact: Highlights the industrial and mechanical nature of the content. #### Perspective and Composition - **Image 1** - Perspective: Front-facing, typical for text presentation. - Composition: Text is left-aligned and followed a clear format highlighting important data points. - **Image 2** - Perspective: Slight angle from the side, focusing on the mechanical parts. - Composition: The mechanical parts are centrally located, drawing attention directly to the machinery. #### Contextual Significance - The overall document appears to be a technical presentation or report, likely focused on machinery automation and performance data. - The image with mechanical components supports the textual data, providing a visual reference to the discussed machinery. #### Diagram and Chart Analysis - No diagrams or charts detected. #### Tables - No tables detected. ### Summary In this particular content: - **Text Analysis** provides critical operational and performance data for machines. - **Object Detection and Classification** emphasize industrial machinery. - **Scene and Activity Analysis** situates the content within a manufacturing or industrial context. - **Color Analysis**, **Perspective and Composition**, and **Contextual Significance** categories collectively showcase an organized, professional approach to presenting technical material. This combined analysis helps convey important technical information effectively, using both textual and visual elements to ensure comprehension from various perspectives. #################### File: 240910_Skoda_Automation_MGH_Portal_direkt%281%29.pdf Page: 2 Context: # Projektdaten ## Kunde: Skoda, Mlada Boleslav ## Werkstück: Motorgehäuse (MGH) SSP ## Taktzeit: 75s ## Terminplan: siehe Folgeseite ## RFQ Dokumente: - Skoda Lastenheft - TZ_Linka obrabeni motorove skrine elektrophonou SSP v5_DE ## Others: ### Kontakt MAG EK: Sonja Haas; [sonja.haas@mag-ias.com](mailto:sonja.haas@mag-ias.com) ### Kontakt MAG Planung: Ralf Haug; [ralf.haug@mag-ias.com](mailto:ralf.haug@mag-ias.com) Image Analysis: ### Image Analysis: #### 1. **Localization and Attribution:** - This image is the only one present and hence will be referred to as **Image 1**. #### 2. **Object Detection and Classification:** - **Objects Identified:** - Text - Logos - **Key Features:** - The image primarily contains textual information along with two logos positioned at the top-right corner. #### 4. **Text Analysis:** - **Detected Text:** ``` Projektdaten Kunde: Skoda, Mlada Boleslav Werkstück: Motorgehäuse (MGH) SSP Taktzeit: 75s Terminplan: siehe Folgeseite RFQ Dokumente: Skoda Lastenheft TZ_Linka obrabeni motorove skrine elektropohonu SSP v5_DE Others Kontakt MAG EK Sonja Haas; sonja.haas@mag-ias.com Kontakt MAG Planung Ralf Haug, ralf.haug@mag-ias.com ``` - **Analysis of Text Content:** - **Projektdaten (Project Data):** The content provides detailed information regarding a project related to Skoda. - **Kunde (Customer):** Skoda, located in Mlada Boleslav. - **Werkstück (Workpiece):** A motor housing for MGH SSP. - **Taktzeit (Cycle Time):** 75 seconds. - **Terminplan (Schedule):** Further details are available on the next page. - **RFQ Dokumente (RFQ Documents):** Reference to a specific document regarding Skoda’s requirements and specifications. - **Others Section:** - Contact information for Sonja Haas and Ralf Haug from MAG. #### 6. **Product Analysis:** - **Products Depicted:** - No specific products are shown in the image; it focuses on textual project data. #### 8. **Color Analysis:** - **Dominant Colors:** - Primary colors present are shades of green and blue, giving a professional and clean look. - The red text “vorab” stands out and indicates something preliminary or provisional. #### 9. **Perspective and Composition:** - **Perspective:** - The image is a straightforward, flat view typical of a slide or document. - **Composition:** - Organized in a clean, well-structured layout with headers and detailed segments. #### 10. **Contextual Significance:** - **Contribution:** - The image seems to be part of a presentation or document providing key information about a project for Skoda. It gives an overview of project specifics including customer, workpiece, cycle time, scheduling, and key contacts. #### 12. **Graph and Trend Analysis:** - There are no graphs or trends presented in the image. ### Summary: This analysis focuses on the content displayed in the image, presenting detailed project information about Skoda. Categories such as customer details, workpiece specifics, cycle time, schedule, relevant documents, and contact information for key personnel have been highlighted. This carefully structured layout and the use of color aid in emphasizing key details effectively. #################### File: 240910_Skoda_Automation_MGH_Portal_direkt%281%29.pdf Page: 6 Context: # Lieferumfang ## MAG Umfang ### Linie 1 - Portal mit H-Lader und 2 Doppelgreifern - Greifereinheit im Doppelgreifer einzeln ansteuerbar (Transport 1 Teil möglich) - Nassbearbeitung - Kübelablage vor Ablegen WST auf FT-Band - 3 SPC-Schubladen mit DMC-Handlser (1 pro OP) - 2 DMC-Kameras am RT-Band - Zellensteuerung - Schnittstelle zu Kundenleitrechner - Mobile Wartungsbühne, elektrisch abgeschaltet - Keine Testteile bei MAG in EIS - Virtuelle IBN - **Option** - 1 Woche Produktionsbegleitung - Schulungspaket ### Linie 2 - Option als Duplikat - Termin unbekannt ## Skoda Umfang - RT/FT Paletten-Bänder - Schutzhause für Bänder Image Analysis: ### Analysis of the Visual Content #### 1. Localization and Attribution: - **Image Location**: The single image occupies the full page. - **Image Number**: Image 1. #### 2. Object Detection and Classification: - **Objects Identified**: - A diagram depicting machinery and operational processes. - Text elements detailing various operational aspects and specifications. - **Key Features**: The machinery in the diagram is detailed with various components and connections, showing an industrial setup likely for manufacturing or automation. #### 3. Scene and Activity Analysis: - **Scene Description**: The image displays detailed information about an industrial setup or production line, including machinery layout and operational steps. - **Main Actors and Actions**: The main actors are likely industrial machines, such as H-loaders, double grippers, and SPC sliding trays. Actions include handling, processing, and transporting materials within an industrial setting. #### 4. Text Analysis: - **Extracted Text**: - **Header (Larger, Key Information)** - "Lieferumfang" - "MAG Umfang" - **Subsection Titles and Bullets** - "Linie 1" - "Portal mit H-Lader und 2 Doppelgreifern" - "Greiferfenster im Doppelgreifer einzeln ansteuerbar (Transport 1 Teil möglich)" - "Nassbearbeitung" - "Kübelachse vor Ablegen WST auf FT-Band" - Etc. (Continued with detailed operational points) - "Linie 2" - "Option als Duplikat" - "Termin unbekannt" - "Skoda Umfang" - "RT/FT Paletten-Bänder" - "Schutzeinhausung für Bänder" - Etc. - **Significance**: The text outlines the scope of delivery for the machinery setup, detailed by line (Linie 1 & Linie 2) and specific equipment (MAG Umfang, Skoda Umfang), providing a comprehensive overview of components and capabilities. #### 5. Diagram and Chart Analysis: - **Data and Trends**: The diagram visually represents an operational process flow, highlighting the location and interaction of various machinery components. #### 10. Contextual Significance: - **Overall Contribution**: The image contextualizes the operational capabilities and scope of delivery for an industrial manufacturing setup, serving as an informational guide for stakeholders involved in the implementation and operation of the system. #### 13. Ablaufprozesse (Process Flows): - **Process Flows Described**: The diagram illustrates the process flows within an industrial setup, notably the transfer of materials via H-loaders, double grippers, and specialized conveyors (RT/FT Paletten-Bänder). #### 14. Prozessbeschreibungen (Process Descriptions): - **Detailed Processes**: The processes encompass material handling (Nassbearbeitung, Kübelachse), operational safety (elektrisch abgesichert), and system features (Schnittstelle zu Kundenleitrechner). By analyzing the visual content comprehensively, we've captured the industrial setup's scope and functionality as outlined in the diagram and accompanying text. The image mainly serves as an instructional and descriptive guide for operational processes within an industrial context. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf Page: 1 Context: # TECHNICKÉ ZADÁNÍ **LASTENHEFT** --- **Předmět TZ** **Verze od 23.08.2024** **Linka obrábění motorové skříně elektropononu SSP** --- **Vypracoval** | **Oddělení** | **Datum** | **Podpis** --- | --- | --- | --- G. Komarov | PPK-E | | --- **Schválil** | **Oddělení** | **Datum** | **Podpis** --- | --- | --- | --- R. Taneček | PPK-E | | Z. Nekola | PPK | | J. Paldus | PKG/1 | | R. Schrom | PKG/4 | | M. Kargl | PKT/42 | | M. Adamec | PKG/3 | | J. Johan | PKT/3 | | Z. Chytka | PKT/14 | | K. Tlášek | PKT/1 | | J. Cikler | GQH-1/4 | | M. Repš | GQH-3 | | J. Beneš | PKT/2 | | M. Janata | PSZ/11 | | R. Chudoba | PKT | | J. Nohejl | PSU | | 1 / 9 INTERNAL Image Analysis: ## Analysis ### 1. Localization and Attribution - **Image 1**: The provided image comprises a header section, main title section, and a table at the bottom. ### 4. Text Analysis - **Header Section:** - Project Information: “Technické ZADÁNÍ LASTENHEFT,” “Datum: 23.08.2024,” etc. - Key identifiers include project name, version date, and contact information. - **Main Title Section:** - Title: “TECHNICKÉ ZADÁNÍ LASTENHEFT,” meaning "Technical Specifications Requirements Sheet." - Sub-title: “Předmět TZ Linka obrábění motorové skříně elektropohonu SSP,” meaning "Subject TZ Line for machining electric motor cases SSP." - Highlighted in Yellow: “Verze od 23.08.2024,” meaning "Version from 23.08.2024." - **Table Section:** - Header in two languages: Czech and German, indicating a multilingual document. - Table Columns: - Vypracoval (Erarbeitet): Prepared by - Oddělení (Abteilung): Department - Datum: Date - Podpis (Unterschrift): Signature - Rows include names, department codes, and spaces for dates and signatures. Names range from G. Komarov to J. Nohejl, each associated with unique department codes like PPK-E, PKG/1, and PKT/42. ### 6. Product Analysis - **Document and Product Details:** - The document refers to a technical requirements sheet related to the line for machining electric motor cases for the SSP (possibly a company or product name). ### 8. Color Analysis - **Dominant Colors:** - Background is predominantly white for clarity. - Text is primarily black, with specific highlights in yellow (important dates and version information). - The table borders are black, ensuring the information is well-organized. ### 9. Perspective and Composition - **Perspective:** - The image is a flat, head-on view of a document. - **Composition:** - The document is well-organized with a clear hierarchy. The header contains project-specific information, followed by a main title section clarifying the document's purpose. The table at the bottom is neatly structured for readers to input necessary details. ### 10. Contextual Significance - **Context:** - The document appears to be part of a technical manual or project documentation, crucial for tracking responsible personnel and departmental approvals. - **Contribution to Overall Message:** - Serves as a formal listing and approval document for the specified task (machining electric motor cases). ### 12. Graph and Trend Analysis - **Table Analysis:** - Each row in the table lists contributors and approvers for the project with respective department affiliations and spaces for dates and signatures. This suggests meticulous tracking and accountability in the project's execution phases. ### 13. Graph Numbers - **Table Entries:** - Row 1 (Prepared by): G. Komarov, PPK-E. - Subsequent rows list multiple approvers from different departments without date and signature entries. ### Additional Aspects - **Ablaufprozesse (Process Flows):** - Not explicitly detailed within the provided document. - **Prozessbeschreibungen (Process Descriptions):** - The process involves preparation and approval of technical documentations by various departments and individuals. - **Typen Bezeichnung (Type Designations):** - Various departments and their codes (e.g., PPK-E, PKG/1, and PKT/42) are mentioned, indicative of an organized type designation system within the entity. - **Trend and Interpretation:** - The inclusion of specific dates and signatures spaces indicates a formal review and approval process. ### Conclusion This image illustrates a technical document crucial for project management and accountability within an industrial or engineering project. It contains structured information and is designed for clarity, ensuring that all involved parties are properly documented and organized. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf Page: 2 Context: # 1. Předmět zadání Obráběcí linka motorové skříně elektroponu SSP. ## 2. Údaje o zpracovávaném dílu - **Název dílu:** Motorgehäuse SSP HA LK3,4 - **Číslo výkresu:** OQA.901.108 - **Hmotnost obrobeného dílu:** 14,975 kg (z toho Lagerhubu 0,369 kg) - **Hmotnost polotovaru:** cca 18 kg - **Materiál:** - Gehäuse OQA 901 108 - EN AC - 460000 - AISi9Cu3 (Fe) - Lagerbusch OQA 901 261 A DIN 30910-SINT-D-11 - **Základní rozměry:** - viz výkres ## 3. Požadované funkce zařízení 3.1 Zajištění zpracování údajů nátisku dle výkresu OQA_901_108-spsha_mg.rw (viz příloha č. 6). 3.2 **Výstupní stav dílu – odtlitek (vysokotlaké těsnění) – viz 3D data (příloha č. 7).** Výkres olit ne nížší tepelné zpracování poze. Obecně se dá počítat s tolerancemi dle ISO 8062-3 – DCTG7 – GCTG3. 3.3 Výstupní stav dílu – opracovaný díl – viz výkres (příloha č. 8). 3.4 Schéma procesu a rozsah dodávky viz příloha č. 5. ## 4. Požadavky na provedení zařízení 4.1 Moduliní linka obráběcích center zřetězených portálem. **Obráběcí centra (moduly) a portály budou stavěny postupně dle harmonogramu – viz bod č. 7.** 4.2 Linka má mít SPC místa, která umožní odběr dílu po merká a vložení zpět do toku po každé operaci. 4.3 Transport dílu k místu předání pod portál pomocí pevného dopravníků. Pro potřebu transportním přípravku dle doporučení dodavatele linky a technických možnosti plochy zařízení. **Rozhraní mezi linkou a zřetězením před a po Škodě.** - **Nakládka** – dodávka dodavatelé linky - **Dopravník** – dodávka od Škoda Auto a.s. 4.4 Obrábění (celý proces) s chladicí kapalinou (emulze) je preferováno a doporučeno – specifikace emulze dle Škoda. 4.4.1 Nacení rozhraní s emulzí centrálu (dodávka emulze centrála ze strany Škoda Auto a.s.). - **Specifikovat požadované množství emulze (l/min)** Image Analysis: ### Comprehensive Analysis of the Visual Content #### Localization and Attribution - **Text Segment (1):** Located at the top part of the page, outlining various headings and subheadings numbered 1 to 4. - **Diagram (Image 1):** Located towards the bottom-left of the layout, depicting a process flow. - **Visualization (Image 2):** Positioned right below Diagram (Image 1) and represents machine module arrangement. #### Object Detection and Classification **Text Segment (1):** - Objects: Headings and written content. - Categories: Title headings (e.g., "Předmět zadání"), subheadings (numbered points), and body text. **Diagram (Image 1):** - Objects: Rectangles with labels, arrows and text annotations. - Categories: Process flow elements (e.g., "Nadkladac," "Dopravník"). **Visualization (Image 2):** - Objects: Rectangular modules labeled as "KSS" and "BAZ". - Categories: Machine components, connections between them. #### Scene and Activity Analysis **Text Segment (1):** - Scene: Professional technical document with detailed instructions and specifications. - Activity: Explanation of processes, requirements, and functionalities of a machining line for motor casing of electric drives. **Diagram (Image 1):** - Scene: Schematic representation of logistics and process flow. - Activity: Explanation of material handling (e.g., "Nadkladac–dodávka dodavatele linky," "Dopravník–dodávka Škoda Auto a.s."). **Visualization (Image 2):** - Scene: Diagram of a modular machining/link system labeled. - Activity: Illustration of the emulsion central and specific modules/modules emplacement within the supplier chain. #### Text Analysis **Detected Text:** 1. **Předmět zadání:** Obráběcí linka motové skříně elektropohonu SSP. - Significance: Defines the subject of the document. 2. **Požadované funkce zařízení:** Sections from 3.1 to 3.4 detailing various functionalities required of the machinery. - Significance: Lays out precise operating requirements and stages. 3. **Požadavky na provedení zařízení:** Sections from 4.1 to 4.4 providing operational requirements, process recommendations, and specifications. - Significance: Details setup and material handling prerequisites. #### Diagram and Chart Analysis **Diagram (Image 1):** - Content: Process flowchart involving modules labeled "NAZ" and "BAZ." - Analysis: - “Nadkladac” and “Dopravník” as delivery entities from suppliers. - Shows a step-by-step flow from "Rozhraní mezi linkou a zřetězením" explaining the integration between delivery processes from both supplier and Škoda Auto’s components. **Visualization (Image 2):** - Data: Modular arrangement with emphasis on central emulsion specifics. - Analysis: - Depicts specific emulsion and the quantities needed per the corporate standards. - Spatial distribution of "KSS" central emulsion and "BAZ" machinery alignment within a factory setting. #### Product Analysis **Text Segment:** - Products: Mention of motor housing for electric drive. - Features: - Material specifications (e.g., Gehäuse OQA 901 108, EN AC - 46000 - AlSi9Cu3 (Fe)). - Weight and dimensions specified in the table format. **Visualization (Image 2):** - Main Feature: Emulsion central "KSS". - Comparison: Differences visualized in layout and integration of various modules (e.g., "KSS", "BAZ"). #### Anomaly Detection None detectable from the provided visual elements. #### Color Analysis **Diagram (Image 1):** - Dominant Colors: Shades of green and turquoise. - Impact: Clearly distinguishes between delivery responsibilities, enhancing readability. **Visualization (Image 2):** - Dominant Colors: Light blue shades. - Impact: Highlighting various system components and connections, focusing attention on emulsion delivery specifics. #### Perspective and Composition **Diagram (Image 1):** - Perspective: Top-down technical schematic view. - Composition: Modular, clean arrangement for easy understanding of process flow. **Visualization (Image 2):** - Perspective: Top-down/block layout. - Composition: Simple, segmented blocks with clear labeling for rapid comprehension of module setup. --- This detailed examination of the visual content analyzes multiple facets from localization to manuscript detailing, pointing out the intended purpose and operational context within the document. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf Page: 3 Context: ``` # Předmět T2 Linka obrušovací motorové šikmé elektropropotou SSP ## 4.4.2 OPCE nabídnout ke každému stroji zařízení pro filtraci a temperování emulze + transport třísek pomocí dopravníku (výška vynášecí třísek 1.500 mm) ![KSS](image_url) ## 4.5 OPCE nabídnout variantu kombinace MMS a KSS ### 4.5.1 Operace předobrábění - Bude použita technologie minimálním primázních (MMS/MQL) - Transport třísek pomocí dopravníku (výška vynášecí třísek 1.500 mm) ### 4.5.2 Operace obrábění naisto - pod chladicí kapalinou (ke každému centru nabídnout zařízení pro filtraci a temperaci emulze) - Transport třísek pomocí dopravníku (výška vynášecí třísek 1.500 mm) ## 4.6 Stroje mají být připraveny pro napojení z horní strany na zařízení na odsávání a filtrace. Zařízení odsávání a filtrace je mimo rozsah dodávky a bude dodáno ze strany ŠKODA AUTO a.s. Specifikovat požadovaný výkon/ množství odsávaného vzduchu (m³/hod) ## 4.7 OPCE Nabídnout odsávání a filtrace ve. portbuli ## 4.8 Přejímka dle TQS O2.09 a VV 101 30 – viz přílohy č. 10 a 11. ## 4.9 Požadovaná schéma unput viz příloha č. 14. ## 4.10 Rizeni Siemens – požadavky na řizeni viz příloha č. 6. ## 4.11 Na začátku linky musí být 2 stacionární kamery na čtení DMC kódů, dle každém SPC musí jedna ruční čtečka DMC. ``` Image Analysis: ### Comprehensive Examination of the Visual Content #### 1. **Localization and Attribution** - **Image 1**: Positioned at the top of the page. - **Image 2**: Positioned below Image 1, in the middle of the page. #### 2. **Object Detection and Classification** - **Image 1**: - Objects: Diagram containing blocks and arrows. - Key Features: Blue and grey blocks representing different components. Blue arrows indicating direction of material flow. Text annotations for contextual information. - **Image 2**: - Objects: Similar to Image 1, contains a diagram with blue and grey blocks and arrows. - Key Features: Representing a combination of MMS and KSS processes, with blue representing Lieferumfang des Lieferanten and grey representing Lieferumfang Škoda Auto a.s. #### 3. **Scene and Activity Analysis** - **Image 1**: - Scene: Schematic representation of a machine configuration with labeled sections. - Activities: Indicating filtration and transport processes for metal shavings. - **Image 2**: - Scene: Another schematic, showing a combination of MMS and KSS workflows. - Activities: Similar to above, focusing on the operational steps in pre-working and machining. #### 4. **Text Analysis** - **Text in Header**: - "Předmět TZ, Linka obrábění motorové skříně elektropohonu SSP, ..." - Significance: Provides the title, project details, and contact information. - **In Image 1**: - "4.4.2 OPCE nabídnout ke každému stroji zařízení pro filtraci a temperování emulze + transport třísek pomocí dopravníku..." - Explanation: Instructions about offering equipment for filtration and temperature control of emulsion and chip transport. - **In Image 2**: - "4.5 OPCE nabídnout variantu kombinace MMS a KSS..." - Explanation: Instructions regarding offering a combination of MMS and KSS processes. #### 5. **Diagram and Chart Analysis** - **Image 1**: - Diagram displays modular layout of a system with labeled utensils such as "Späneförderer" (chip conveyor) and "Dezentrale Emulsion Anlagen" (decentral emulsion systems). - Insight: Presents a clear layout of how each unit is connected and the flow of materials. - **Image 2**: - Similar layout, but with specific instructions regarding the use of MMS and KSS. - Insight: Demonstrates the arrangement of combined processes (MMS and KSS) within the system. #### 7. **Anomaly Detection** - No noticeable anomalies or unusual elements detected in both images. The diagrams and text appear consistent with the theme and purpose of the document. #### 8. **Color Analysis** - **Dominant Colors**: - Blue and Grey: Used to differentiate between "Lieferumfang des Lieferanten" and "Lieferumfang Škoda Auto a.s." - Impact: Clear visual differentiation aids in understanding the components provided by different entities. #### 9. **Perspective and Composition** - **Perspective**: Both images are laid out from a top-down perspective, typical for technical schematics. - **Composition**: Elements are arranged systematically, enhancing readability and comprehension. The use of color blocks and directional arrows helps in visualizing the workflow. #### 11. **Metadata Analysis** - No metadata visible in the scanned image content provided. #### 13. **Graph Numbers** - No detailed graph numbers visible in the provided content. ### Additional Aspects #### **Ablaufprozesse (Process Flows)** - **Image 1**: Illustrates the process flow from filtration to chip transport using conveyors. - **Image 2**: Demonstrates combined processes of MMS and KSS, showing the interaction between pre-working and fine-machining stages. #### **Prozessbeschreibungen (Process Descriptions)** - **Image 1**: Accompanied by textual instructions about filtration and chip transport. - **Image 2**: Describes the combination of MMS and KSS, offering detailed steps about the processes used in manufacturing. #### **Trend and Interpretation** - Indicates a trend towards integrated and automated solutions for material handling and filtration within manufacturing setups. #### **Tables** - Not applicable; there are no tables in the provided content. #### **Overall Analysis** - The diagrams and text effectively communicate technical instructions and layout plans for manufacturing processes. The use of color and systematic organization enhances understanding. These elements contribute significantly to the overarching theme of industrial manufacturing and process optimization. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf Page: 4 Context: # 5. Další požadavky 5.1 Stanoví nejkratší možný termín dodání 50 obrobených a proměnných vzorků, odpovídajících technické dokumentaci, od okamžiku objednání předmětu zadání. Zpracovat termínový plán na dodání vzorků a nacenit samostatné položky. 5.2 OPCE nářadí na 1 stroj/OP dle ITS 3.10. 5.3 OPCE nabídnout podporu po předání do provozu v rozsahu 1 pracovník/1 týden. 5.4 OPCE nabídnout školení. 5.5 Odhadnout životnost nástrojů a náklady na kus pro nástroje na obrábění Lagerbuchs. # 6. Požadavky na výkon zařízení | Parametr | Hodnota | |----------------------------------|-----------------------| | Kapacita | 232 000 ks/rok | | Takt linky | 75 s | | Denní pracovní doba | 22,5 h | | Pracovních dnů za rok | 250 dnů | | Technické výstupy | | | Zmetkovitost | | | Stabilita procesu – hodnocené parametry: | Viz standard ITS ŠKODA Auto | OPCE - 2. linka se stejnou kapacitou viz layout v příloze č.3 # 7. Harmonogram | Aktivita | 2024 | |-------------------------------------------------------|--------------| | Bestellungen | 0/1/25 | | Lieferung, Inbetriebnahme und Übergabe | A/14/26 | | 1TBAZ PRO + komplette Automatisierung | A/18/26 | | TBT-PVS | 0/7/26 | | PVS | 0/7/26 | | Nullserien | 4/7/26 | | Lieferung, Inbetriebnahme und Übergabe | 11/27 | | technische BAZ für erforderliche Kapazität | | | 2 Tage Produktion | | | SOP | | # 8. Ostatní - Veškeré technicko-provozní parametry musí splňovat ITS Škoda Auto a bezpečnostní normy ČSN. - Veškeré konstrukce a technická řešení je dodavatel povinen konzultovat a nechat schválit před zahájením výroby odbornými útvary ŠKODA AUTO a.s. - Záruka minimálně 24 měsíců s změnným provozu. - S nabídkou předložit layout 2D ve formátech PDF a DWG. - Stavební základ, energetické přípojky k hlavním uzávěrům na hranici pracoviště Škoda, ostatní rozvody zajistí dodavatel. - Kompletní projektní podklady dodá dodavatel 1 měsíc po uzavření smlouvy. - První návrh prostředků pro mazání stroje zajistí dodavatel. Image Analysis: ### Image Analysis #### Localization and Attribution: - **Image Location**: There is a single composite image on the page. - **Image Number**: Image 1. #### Text Analysis: The image contains several sections with distinct text. Below is the extracted and analyzed text: 1. **Header Information**: - **Title**: Produkt TZ - **Subtitle**: Linka obrábění motorové skříně elektroposopnou SSP - **Identifiers**: - Firma: ŠKODA AUTO a.s. - Hauptabteilung: SSP - Datum: [Blank] 2. **Section 5: Další požadavky (Additional Requirements)**: - 5.1: Stanovite nejkkatší možny termín dodání 50ubrobených and proměřených vzorků... - Summary: Set the shortest possible delivery time for 50 machined and measured samples. - 5.2: OPCE nářadí na 1 stroj/OP dle ITS 3.10. - Summary: OPCE tooling for 1 machine/OP according to ITS 3.10. - 5.3: OPCE nabídnout podporu... - Summary: OPCE offer support... - 5.4: OPCE nabídnout školeni. - Summary: OPCE offer training. - 5.5: Odnadknout životnosti nástrojů... - Summary: Estimate the life of tools and costs for new tools for machining Lagerbuchse. 3. **Section 6: Požadavky na výkon zařízení (Performance Requirements for Equipment)**: - **Table**: - **Kapacita**: 232 000 ks/rok - **Takt linky**: 75 s - **Denní pracovní doba**: 225,8 h - **Pracovných dnů za rok**: 250 dní - **Technlcke vytížení**: 85 % - **Zmetkovitost**: 2 %: - **Stabilita procesu - hodnocené parametry**: Viz standardy ITS ŠKODA Auto 4. **Section 7: Harmonogram (Schedule)**: **Table**: - **Activity**: Sequence of activities from 2024 to 2027, including: - Bestellung - Lieferung, Inbetriebnahme und Übergabe - 1BAZ pro OP + komplette Automatisierung - TBT-PVS - PVS - Nullserie - Lieferung, Inbetriebnahme und Übergabe restliche BAZ für erforderliche Kapazität - 2 Tage Produktion - SOP 5. **Section 8: Ostatní (Others)**: Details operational and construction standards and requirements: - Compliance with ITŠ ŠKODA Auto and safety standards ČSN. - Coordination and approval requirements for technical solutions. - Warranty period of at least 24 months with 3-shift operation. - Layout requirements in PDF and DWG formats. - Supplier responsibilities for construction and technical connections. - Provision of project documentation within 1 month of contract conclusion. - Supplier's responsibility for machine lubrication. #### Diagram and Chart Analysis: - **Chart in Section 7**: - **Axes**: - Horizontal Axis: Years (2024-2027). - Vertical Axis: Activities related to Bestellung and commissioning for 1BAZ and other machines. - **Legend**: - Specific milestones and tasks for each year. - **Key Insights**: - Shows the timeline for activities ranging from ordering to production and SOP. - Specific action points are designated by red markings. #### Tables: - **Tables in Section 6 & 7**: - **Section 6**: Performance requirements for equipment, including capacity, operational pace, and quality metrics. - **Section 7**: Activities and milestones chart, displaying a timeline of key events and their intended dates. #### Trends and Interpretation: - **Operational Efficiency**: There is a focus on having high operational efficiency and minimized downtime, emphasized by parameters like takt time, daily working hours, and defect rate. - **Scheduling and Milestones**: The scheduled milestones signify a detailed plan for project management, focusing on achieving specific targets in defined timelines. Overall, the image portrays a structured overview relating to the planning and implementation of motor housing machining lines, including performance metrics, schedule, and additional requirements. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf Page: 5 Context: # Návod na základě podkladů od výrobce stroje a vzájemném odsouhlasení zajistit Škoda - Dokumentace v českém jazyce podle ITS ŠKODA (2 výtisky + 1 digitální forma + Prohlášení o řádném nabytí softwarových licencí). - Pro získání zakázky je potřebné mít závazek členitosti (NDA smlouva se ŠKODA AUTO a.s.) a odpovídající TISAX certifikáty. - Dodací podmínky DDU DAP (včetně složení, zaměření a ustavení na místě) ## 9. Přílohy 1. **Interní technický standard (ITS)/Betriebsmitteilungsverordnung ŠKODA AUTO a.s.:** [https://lso.volkswagen.de/one-kbp/content/cs/kbp/private/information_1/divisions/procurement/terms_and_conditions_of_purchasin g_new/_koda_auto_a_s_4/_koda_auto_a_s.jsp](https://lso.volkswagen.de/one-kbp/content/cs/kbp/private/information_1/divisions/procurement/terms_and_conditions_of_purchasin g_new/_koda_auto_a_s_4/_koda_auto_a_s.jsp) 2. **Energie Škoda – separátní příloha** 3. **Umístění v hale** 4. **Evaluace dt. Čísel a rozměry** 5. **Schéma technologického procesu** 6. **Technische Unterlage Solutions for Powertrain Volkswagen Group Components Global Differenzbeschreibung – separátní soubor** 7. **3D data odtisku a obrobeného dílu – budou zaslány Eboxem** 8. **Výkresy obrobeného dílu – separátní soubor** 9. **Interní směrnice komponentů – separátní soubor** 10. **Norma TQS 02.09 – separátní soubor** 11. **Norma VW 101 30** 12. **Norma WSK_016_862_G (Požadavky k technickým plochám)** 13. **Kapacitní požadavky v rocích** 14. **Požadovací schéma upnutí – separátní soubor** ## 10. Kontaktní osoba **Ing. Georgy Komarov, PPK-E – Plánování výroby polotovarů** ŠKODA AUTO a.s., třída Václava Klementa 869, 293 01 Mladá Boleslav, Czech Republic M +420 730 865 237 [Georgy.Komarov@skoda-auto.com](mailto:Georgy.Komarov@skoda-auto.com) [www.skoda-auto.com](https://www.skoda-auto.com) **Ing. Roman Tančev, PPK-E – Plánování výroby polotovarů** ŠKODA AUTO a.s., třída Václava Klementa 869, 293 01 Mladá Boleslav, Czech Republic T +420 326 814 752, F +420 326 8 17720, e-f +420 326 8 45848, M +420 604 292 729 [Roman.Tancek@skoda-auto.com](mailto:Roman.Tancek@skoda-auto.com) [www.skoda-auto.com](https://www.skoda-auto.com) Image Analysis: ### 1. Localization and Attribution - This is a single-page document with text content throughout. ### 4. Text Analysis #### Image Description - **Title:** The text at the very top-left corner appears to relate to "Product TZ", "Line for treating the internal surface of the electrical component SSP". - **Key Sections:** The document is composed of numbered sections and highlighted statements. #### Sections Breakdown 1. **Highlighted Texts:** - "Nářadí na základé podkladů od výrobce stroje a vzájemném odsouhlasení zajistí Škoda." - "Dokumentace v českém jazyce podle ITS ŠKODA (2 výtisky + 1 digitální forma + Prohlášení o řádném nabytí softwarových licencí)." - "Pro získání zakázky je potřeba mít závazek mlčenlivosti (NDA smlouva se ŠKODA AUTO a.s.) a odpovídající TISAX certifikát." - "Dodací podmínky DDU DAP (včetně složení, zaměření a ustavení na místě)" 2. **Section 9: Přílohy (Attachments):** - Listed attachments (each marked by a bullet point) with references to specific standards and documentation: - "Interní technický standard (ITS)/Betriebsmittelvorschriften ŠKODA AUTO a.s." - URLs provided for more detailed documentation. - Various norms and technical documents are referenced (e.g., ISO VW 101 30, Norma TQS 02.09, etc.). 3. **Section 10: Kontaktní osoba (Contact Person):** - Contact information for two individuals: - Georgy Komarov: Email, phone numbers, and titles. - Roman Taneček: Email, phone numbers, and titles. #### Analysis: - **Highlights:** The highlighted sections provide essential instructions and requirements for Skoda-related documentation and compliance. - **Attachments (Section 9):** Detailed technical and standard documents are referenced, suggesting the context is highly technical and adheres to specific industry standards. - **Contact Information (Section 10):** This section lists important contact details, facilitating communication regarding the document's content. ### 9. Perspective and Composition - **Perspective:** The document is viewed from a straight, eye-level angle, typical for reading documents. - **Composition:** The text is organized in a structured manner with sections numbered explicitly, highlighted key points, URL links, and contacts at the end. ### 10. Contextual Significance - This page is likely part of a larger technical or procedural document, perhaps aimed at compliance, legal or tender-related processes for Skoda Auto. - The document's format suggests it is used for formal communication, providing necessary guidelines and contact information for executing specific tasks. ### 13. Graph Numbers - No graphs or numeric data points are present in this image to analyze. ### Additional Aspects **Ablaufprozesse (Process Flows):** There are references to technological processes in the attachments, indicating process flow documentation. **Prozessbeschreibungen (Process Descriptions):** Several norms and standards are mentioned, which likely detail various processes in their respective documents. **Typen Bezeichnung (Type Designations):** Specific norms and documents (like Norma TQS 02.09) denote types and technical specifications. #################### File: 22121726223700_lah___wsk_016_862_ae_1_v1_11.pdf Page: 8 Context: # Anforderungen Dichtflächen ## WSK 016 862 AE ### Version 1.0 ### 4.2. nichtspezifikationskonforme Kreuzschnittstrukturen ![Kreuzschnitt n.i.O. (kein Kreuzschnitt, nur durchgehende Riefen)](path_to_image1) Abbildung 1: Kreuzschnitt n.i.O. (kein Kreuzschnitt, nur durchgehende Riefen) ### 4.3. spezifikationskonforme Kreuzschnittstrukturen ![Kreuzschnitt i.O.](path_to_image2) Abbildung 2: Kreuzschnitt i.O. --- F. Röthlingshöfer, /IEM-514 Version 1.0 vom 02.03.2023 Anforderungen Dichtflächen Seite 8 von 13 Image Analysis: ### Localization and Attribution - **Image 1:** - Position: Top left - Number: Image 1 - **Image 2:** - Position: Top right - Number: Image 2 - **Image 3:** - Position: Bottom left - Number: Image 3 - **Image 4:** - Position: Bottom right - Number: Image 4 ### Object Detection and Classification - **Image 1 and Image 2:** - Objects: Surface textures - Key Features: Linear patterns with parallel grooves. Image 1 shows a circular section with visible ribbing. - **Image 3 and Image 4:** - Objects: Surface textures - Key Features: Crosshatch patterns indicative of proper machining. Image 4 includes two circular holes. ### Scene and Activity Analysis - **Image 1 and Image 2:** - Scene: Close-up of surface textures. - Activity: Inspection of surface quality, highlighting non-specification conforming structures. - **Image 3 and Image 4:** - Scene: Close-up of surface textures. - Activity: Inspection of surface quality, focusing on specification conforming structures. ### Text Analysis - **Text Present:** - Extracted Text: - Title: "Anforderung Dichtflächen WSK 016 862 AE Version 1.0" - Section Titles: "4.2. nichtspezifikationskonforme Kreuzschnittstrukturen" and "4.3. spezifikationskonforme Kreuzschnittstrukturen" - Caption for Image 1: "Abbildung 1: Kreuzschnitt n.i.O. (kein Kreuzschnitt, nur durchgehende Riefen)" - Caption for Image 3: "Abbildung 2: Kreuzschnitt i.O." - Footer: "F. Röthlingshöfer, / IEM-514 Version 1.0 vom 02.03.2023 Anforderung Dichtflächen Seite 8 von 13" - Content Explanation: - The text details the specifications for surface textures of sealing surfaces. "n.i.O." indicates non-conforming, while "i.O." signifies conforming structures. The captions label the images as per these criteria. ### Product Analysis - **Image 1 and Image 2:** - Products: Two different surface textures which are non-conforming. - Features: Linear and ribbed patterns. - Materials: Metal (assumed based on texture). - **Image 3 and Image 4:** - Products: Two different surface textures which are conforming. - Features: Crosshatch patterns with a smooth finish and circular holes. - Materials: Metal (assumed based on texture and sheen). ### Color Analysis - **All Images:** - Dominant Colors: Various shades of grey, black. - Impact on Perception: Industrial and technical feel, highlighting precision. ### Perspective and Composition - **Perspective:** - Close-up macro shots of surface textures, focusing on details. - **Composition:** - Each image fills most of the frame with the texture being the central focus. Images 1 and 2 are aligned for direct comparison, as are Images 3 and 4. ### Contextual Significance - **Document:** - The images are part of a technical manual or specification document concerning seal surface requirements. - They illustrate the difference between non-conforming and conforming machining structures to ensure quality standards. ### Typen Bezeichnung (Type Designations) - **Non-Conforming Structures:** - Identified as having continuous grooves without crosshatch pattern (Images 1 and 2). - **Conforming Structures:** - Identified as having crosshatch patterns, indicative of proper machining (Images 3 and 4). ### Trend and Interpretation - **Trend:** - Emphasis on the importance of crosshatch patterns for sealing surfaces. - Visual distinction between conforming and non-conforming surfaces. ### Table and Diagram Analysis - **Table:** - The document includes images rather than tables, but the images serve a similar purpose by showing examples for reference. --- This analysis offers a detailed breakdown of each aspect according to the provided specification. Any missing aspects (like metadata, anomalies) are not present and thus not described. #################### File: 0qa_901_108-sspha_mg_ftz.pdf Page: 7 Context: I'm unable to view images or process them directly. However, if you can provide the text in Markdown format, I'll be happy to help you correct any formatting issues or errors. #################### File: 240911_Skoda_Automation_GGH_Portal_direkt.pdf Page: 3 Context: # Werkstück ## 2. Angaben über das zu bearbeitende Bauteil | Bauteil | Getriebegehäuse SSP HA LK3.4 | |------------------------|------------------------------| | Gewindebnummer | 0A 951 193 | | Zeichnung des bearbeiteten Teils | 4-480 019 | | Gewicht | 6,630 kg | | Material | EN 1706 (ZAlSi9Cu3 [Al]) | | Grundsätze | siehe Zeichnung | Image Analysis: ### Detailed Examination of the Provided Visual Content #### 1. **Localization and Attribution:** - **Image 1:** Located at the top-left of the page, showing a three-dimensional model of a mechanical part. - **Image 2:** Positioned directly below Image 1, displaying another three-dimensional view of the same or similar mechanical part but from a different angle. - **Image 3:** Found at the right side of the page, presenting a detailed line drawing of the mechanical part seen in the first two images. - **Table Image:** Situated below Images 1 and 2, presenting specific details about the part. #### 2. **Object Detection and Classification:** - **Image 1:** - **Objects:** A mechanical part with distinct circular openings, bolts, and a complex surface structure. - **Key Features:** Multiple purple and orange highlighted areas, indicating key points or sections. - **Image 2:** - **Objects:** Another view of the same or similar mechanical part with several prominent circular regions. - **Key Features:** Red outline around the edge, purple highlighted inner sections. - **Image 3:** - **Objects:** Line drawing of the mechanical part. - **Key Features:** Labels and arrows pointing to different sections. #### 3. **Scene and Activity Analysis:** - **Image 1:** Depicts a close-up of a gear housing's internal structure, likely highlighting critical points for machining or assembly. - **Image 2:** Provides an alternate view focusing on the interior surface of the housing, fulfilling similar purposes as Image 1. - **Image 3:** Presents technical documentation with detailed annotations and labels, likely to be used for engineering or manufacturing purposes. #### 4. **Text Analysis:** - **Detected Text:** - Title: "Werkstück" - Table Title: "2. Angaben über das zu bearbeitende Bauteil" (Translation: 2. Information about the part to be processed) - Table Contents: - **Bauteil:** Getriebegehäuse SSP HA L/K3.4 - **Gewichtausführung:** 5,430 kg - **Zeichnungsnummer:** 5,430 kg - **Zeichnungsnummer des bearbeitenden Teils:** 6400.136 - **Material:** EN 1706 (226-DIN AC-45500-G AlSiCu3 Fe) - **Grundmässig:** Siehe Zeichnung - **Significance:** The table provides crucial specifications and part numbers necessary for manufacturing and quality control. #### 5. **Diagram and Chart Analysis:** - **Image 3:** The line drawing acts as a schematic to understand the part's assembly, including the direction for viewing on different sides (Seite 1, Seite 2, etc.). #### 7. **Anomaly Detection:** - No anomalies detected. All elements appear consistent with technical documentation standards. #### 8. **Color Analysis:** - **Dominant Colors:** - Image 1: Black (part base), Purple (highlighted points), Orange (highlighted section) - Image 2: Grey (part base), Purple (highlighted interior sections), Red (outline) - Image 3: Black (line drawing on white background) - **Impact on Perception:** The colors highlight essential features and areas, guiding the user's focus to critical points. #### 9. **Perspective and Composition:** - **Image 1 and Image 2:** Isometric views showing different angles of a mechanical part, providing a comprehensive understanding of its geometry. - **Image 3:** Orthogonal projection with annotations, offering a clear technical perspective. #### 10. **Contextual Significance:** - The images and accompanying table seem to be part of a technical manual or a presentation for an engineering project, specifically focused on the gearbox housing part. They illustrate necessary details for manufacturing, assembly, and inspection processes. #### 11. **Metadata Analysis:** - **Footer Information:** - "Skoda SSP GGH Automation" - Date: "13.09.2024" ### Summary: The visual content consists of detailed technical illustrations and specifications for a mechanical part, specifically a gearbox housing (Getriebegehäuse SSP HA L/K3.4). It serves as a key resource for engineers and manufacturers, providing necessary information for the part's production and quality assurance. The use of different perspectives and color-coded highlights aids in understanding the intricate details of the part. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE%281%29.pdf Page: 4 Context: # LHI-Gesamtstand Beauftragte für Montagehilfe für Elektronikmodule SSP SIPK-E. Kainz, volles Personenzeichen Mitarbeiter: Böller HRA: 202480 Datum: 23.03.2024 --- ## 4.6 Die Maschinen sollen für den Anschluss von der oberen Seite an die Absaug- und Filtrationsanlage vorbereitet sein. Die Absaug- und Filtrationsanlage gehört nicht zur Lieferung und wird von ŠKODA AUTO AG geliefert. Festlegung erforderlicher Leistung / Menge der Abluft (m³/h) ## 4.7 **OPTION:** die Absaugung und Filtration inkl. Rohrleitung anbieten. ## 4.8 Abnahme nach TGS 02.09 und VwV 101 30 – siehe Anlagen Nr. 10 und 11. ## 4.9 Erforderliches Spannschema siehe Anlage Nr. 14. ## 4.10 Steuerung Siemens – Anforderungen für Steuerung siehe Anlage Nr. 6. ## 4.11 Am Anfang der ML müssen sich 2 stationäre Kameras zur Lesung von DMC-Codes von Teilen befinden, ein manuelles DMC-Lesegerät an jedem SPC Standard. --- ## 5. Weitere Anforderungen ### 5.1 Bestimmen Sie den kürzestmöglichen Liefertermin von 50 bearbeiteten und gemessenen Mustern, die der technischen Dokumentation entsprechen, ab dem Zeitpunkt der Bestellung des Auftragsgegenstandes. Verarbeitung des Terminplans für die Zusendung von Mustern und diese in einem separaten Posten preisgestalten. ### 5.2 **OPTION:** Werkzeug für 1 Maschine/OP nach ITS 3.10. ### 5.3 **OPTION:** Unterstützung nach Übergabe der Inbetriebnahme im Umfang von 1 Arbeiter/1 Woche anbieten. ### 5.4 **OPTION:** Schulung anbieten. ### 5.5 Abschätzung der Standzeit von Werkzeugen und Kosten pro Stück für die Lagerbuchse-Bearbeitungswerkzeuge. --- ## 6. Anforderungen auf die Anlageneistung | Parameter | Wert | |-------------------------|----------------------| | Kapazität | 232 000 Stck./Jahr | | Taktzeit der ML | 75 s | | Tägliche Arbeitszeit | 22,5 Std. | | Arbeitstage pro Jahr | 250 Tage | | Technische Verwendbarkeit| 86% | | Ausschussquote | 0% | | Prozessstabilität | bewertete siehe ITS ŠKODA Auto Standards | | **OPTION** | 2. ML mit gleicher Kapazität, siehe Layout in der Anlage Nr. 3 | --- ## 7. Terminplan | Activity | 2024 | 2025 | 2026 | |--------------------------------------------|-----------|-----------|-----------| | Bestellungen | 01/25 | | | | Lieferung, Inbetriebnahme und Übergabe | 1xABZ OP + komplette Automatisierung | A 14/26 | | | TBT-PVS | | A 18/26 | | | PVS | | A 27/26 | | | Nullisierung | | | 05/27 | | Lieferung, Inbetriebnahme und Übergabe | | 07/27 | | | restliche BAZ für erforderliche Kapazität | 2 Tage PoD | | 11/27 | | SOP | | | | Image Analysis: ### Image Localization and Attribution: 1. **Image Numbering and Identification:** - Image 1: The entire page consists of textual information, a table, and a colored bar chart. ### Object Detection and Classification: 1. **Textual Content:** - Extensive text in German. - Table containing technical data and requirements. - Colored bar chart representing a schedule or timeline. 2. **Table:** - Located in section 6 titled "Forderungen auf die Anlagenleistung." - Contains specifications of machine performance metrics. 3. **Bar Chart:** - Located in section 7 titled "Terminplan." - Showcases different activities over the years from 2024 to 2027. ### Scene and Activity Analysis: 1. **Entire Scene:** - The document appears to be a technical specification or project planning sheet for equipment or machinery. - Structured into sections with headings in bold, indicating different phases and requirements of a project. 2. **Main Activities:** - Describes various options, requirements, and suggestions for equipment (e.g., filtration, camera usage). - Indicates delivery times, workforce planning, and evaluation of equipment life span and cost. ### Text Analysis: 1. **Section Headings:** - "Weitere Anforderungen" (Further Requirements) - "Forderungen auf die Anlagenleistung" (Demands on Plant Performance) - "Terminplan" (Schedule) 2. **Significant Text Content:** - "Optionen" (Options) for various requirements and suggestions. - Technical parameters for machinery such as capacity, operating time, and efficiency. - Timetable with tasks and milestones over the years 2024 to 2027. ### Diagram and Chart Analysis: 1. **Bar Chart in Section 7:** - Activities are listed on the Y-axis. - The timeline extends over the years 2024 to 2027 on the X-axis. - Gantt-style bars represent the duration of each activity. ### Product Analysis: 1. **Not applicable** ### Anomaly Detection: 1. **Not applicable** ### Color Analysis: 1. **Text Color:** - Predominantly black text with some headings and important sections highlighted in yellow for emphasis. 2. **Chart Colors:** - Bars in different colors (green, red) indicating different activities or stages. ### Perspective and Composition: 1. **Perspective:** - The visual content is organized in a standard document layout. 2. **Composition:** - The document is composed of numbered sections and subsections for clarity. - A combination of text, table, and chart to present information. ### Contextual Significance: 1. **Document Purpose:** - The document is likely a project plan or technical requirement sheet for the installation and operation of industrial machinery. 2. **Contribution to Overall Theme:** - Provides detailed specifications, schedules, and requirements, crucial for planning and implementation phases. ### Graph and Trend Analysis: 1. **Gantt Chart Analysis:** - Illustrates the timeline for various activities such as initial setup, ongoing support, tooling, training, and cost estimations. - Shows dependencies and timelines for these activities from 2024 to 2027. 2. **Significance:** - Helps in visualizing project timelines, planning resources, and understanding the sequence of tasks. ### Graph Numbers: 1. **Data Points in the Gantt Chart:** - Activities: Bestellung, Lieferung, Unterstützung, Schulung, Tooling. - Timeline: Specific months and years highlighted (e.g., 01/25, 05/27). ### Summary: The document is a detailed project plan consisting of machine specifications, additional requirements, and a timeline for implementation activities. It includes a table specifying machine capabilities and a Gantt chart outlining the schedule from 2024 to 2027. This comprehensive structure aids in planning and executing the installation, support, training, and cost assessment of the machinery. #################### File: TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE%281%29.pdf Page: 9 Context: # Anlage Nr. 5 – Schema des technologischen Prozesses ## Gießen | | | |-----|-----------------------| | AF2 | Schmelzen | | AF5 | Gießen inkl. Lagerbuchse | | AF20 | Strahlen | | AF50 | Fertigbearbeitung | ## Endoperationen | | | |-----|--------------------------| | AF5 | Waschen | | AF80| Leketten + Stopfen + Diemontage | | AF85| Endkontrolle | Die Anzahl der Bearbeitungszentren ist schematisch dargestellt. --- **Hinweis**: - Mimo rozsah dodatków (Gray) - Rozsah dodatków dle TZ (Blue) Tel.: +49 7368 62337 +49 123 628 14752 INTERNAL Image Analysis: ### Image Analysis #### Image 1 1. **Localization and Attribution** - There is only one image on the page. - Image number: 1 2. **Object Detection and Classification** - The image is a process flow diagram. - Objects detected: Various gray and blue boxes connected by horizontal lines, labeled with text. 3. **Scene and Activity Analysis** - The scene depicts a technological process flow for metallurgical processing, likely related to electromotor housings as suggested by the heading. - Activities include melting (Schmelzen), casting and bushing (Giessen inkl. Lagerbuchse), blasting (Strahlen), finishing (Fertigbearbeitung), washing (Waschen), and quality control steps such as leak testing and dismantling (Lecktesten/Stopfen/Diesmontage), impregnation (Impraegnierung), and final inspection (Endkontrolle). 4. **Text Analysis** - The header text indicates this is "Anlage Nr. 5 -- Schema des technologischen Prozesses," translating to "Plant No. 5 -- Schematic of the Technological Process." - Specific process steps are labeled as: - AF2 Schmelzen (Melting) - AF5 Giessen inkl. Lagerbuchse (Casting including bushing) - AF20 Strahlen (Blasting) - AF50 Fertigbearbeitung (Finishing) - AF55 Waschen (Washing) - AF80 Impraegnierung (Impregnation) - AF85 Endkontrolle (Final Inspection) 5. **Diagram and Chart Analysis** - This process flow chart presents a sequence of stages in the technological processing of a material. - The horizontal layout shows the progression from left to right with input starting on the left side and outward flow on the right. - Grey boxes represent regular process steps while blue boxes indicate areas of significant intervention (labeled "Rozsah dodávky dle TZ"), suggesting some form of quality or technological zones. - A legend is provided at the bottom right: - Grey boxes: "Mimo rozsah dodávky" - Blue boxes: "Rozsah dodávky dle TZ" 6. **Ablaufprozesse (Process Flows)** - The diagram depicts a clear sequence of process flows: - Starting from AF2 (Melting), the material passes through AF5 (Casting), AF20 (Blasting), AF50 (Finishing), AF55 (Washing), AF80 (Impregnation), and finally AF85 (Final inspection). - The chart shows a detailed manufacturing process with key operations that ensure the quality and functionality of the electromotor housings. 7. **Prozessbeschreibungen (Process Descriptions)** - Each labeled step indicates a critical process in the production line: - AF2 Schmelzen: Involves melting the raw materials, likely the initial step. - AF5 Giessen inkl. Lagerbuchse: Casting the molten material into molds and inserting bushings. - AF20 Strahlen: Blasting to remove surface contaminants and prepare for further processing. - AF50 Fertigbearbeitung: Finishing operations to achieve the required precision and quality. - AF55 Waschen: Washing to clean the parts. - AF80 Impraegnierung: Impregnation to enhance materials’ properties. - AF85 Endkontrolle: Final inspection to ensure product quality before dispatch. 8. **Color Analysis** - The image uses a predominantly grey color scheme with some specific blue boxes highlighting important stages. - Dominant colors: - Grey: Represents standard process steps. - Blue: Represents a particular significance or focus as per the legend "Rozsah dodávky dle TZ". - The use of color helps to easily distinguish between different process stages and emphasizes specific zones. 9. **Perspective and Composition** - The diagram is presented from a straight-on perspective. - The layout is linear and horizontal, ensuring a clear understanding of the process flow from start to finish, with critical steps highlighted in detail. 10. **Contextual Significance** - In the context of a document or website, this image provides a clear schematic for the technological process involved in producing electromotor housings. - It gives insight into the complexity and thoroughness of the operations, emphasizing quality control and precise manufacturing steps. - This contributes significantly to the overall theme of manufacturing efficiency and quality assurance. The detailed breakdown should offer a comprehensive understanding of the diagram and the technological process it represents. #################### File: Interni%20smernice%20-%20komponenty%20SZ_CZ.pdf Page: 4 Context: # Škoda Auto a.s. **Směrnice pro sjednocení prvků** **Projekt Obnova výrobních zařízení provozu PKG** **Datum vydán: 28.01.2020** **1 - H - 20 CZ** | Poř. | Výrobní zařízení/komponenty | Uvolněný dodavatelé | Potenciální dodavatelé | Poznámky | |------|----------------------------------------------------|-------------------------------------------|------------------------------------------|--------------------------------------| | 21 | Indukční senzory, polohové spínače a koncové spínače | Balluff, IFM Electronic | Sick | Specifikace Škoda Auto a.s. | | 22 | Svorky a svorkové příslušenství | Phoenix Contact, Wago | Siemens | Specifikace Škoda Auto a.s. | | 23 | Průtokoměry a teploměry | IFM Electronic, Hydac | Parker, Bosch Rexroth | Specifikace Škoda Auto a.s. | | 24 | Instalace senzorů a koncových spínačů | Balluff - Lumberg | Pepperl+Fuchs | Specifikace Škoda Auto a.s. | | | kabely, konektory a příslušenství snímačů | Mur elektronki | | | | 25 | Konektory - těžké a lehké | Harting, Phoenix Contact, Weidmüller | Murrelektronik | | | 26 | Světelná signalizace - majáky a signální světla | Murrelektronik | Siemens | | | 27 | Výsoké bezpečnostní spínače | Schmersal | Balluff | | | 28 | Bezpečnostní spínače - ochranných zařízení, okén, atd. | Pilz, Schmersal | Euchner | | | 29 | Bezpečnostní systém a bezp. moduly | Pilz, Siemens | Schneider Electric | Pilz (PNOZsigma) | | 30 | Mechanické koncové spínače | Balluff, Siemens | Euchner | Specifikace Škoda Auto a.s. | | 31 | Instalční kabely | LAPP Kabel | Hellu kabel | | | 32 | Vysoké flexibilní kabely | LAPP Kabel | Hellu kabel | | | 33 | Přepínací obvody | Hakel | ABB | | | 34 | Kabelové kanály a žlaby | OBO-Betterman, Niedax | Kopos Kolin | | | 35 | Energetické případy kabelové trasy | Murphysit, Brevett | Kableschlepp | | | 36 | Optické snímače | IFM, Keyence | Sick | Specifikace Škoda Auto a.s. | | 37 | Kamejnzové svítilny, údržba | Cognex, Keyence, Sick | Specifikace Škoda Auto a.s. | | 38 | HEIDENHAIN | | | | **Stránka 4 z 5** Image Analysis: **Text Analysis:** 1. **Primary Header:** - Text: "Škoda Auto a.s." - Context: Indicates the branding of the document, relating to Škoda Auto. 2. **Sub-headers:** - Text: "PSZ/1 - Metodika a standardizace" and "Směrnice pro sjednocení prvků Projekt Obnova výrobních zařízení provozu PKG" - Context: Details the methodology and standardization for an element unification project for the renovation of production facilities in PKG. 3. **Date Information:** - Text: "Datum vydání: 28.01.2020" - Context: Shows the issue date of the document, important for version control and relevance. 4. **Column Headers and Table Content:** - Column 1: "Poř." - Item number in the list, providing a sequence. - Column 2: "Výrobní zařízení/komponenty" - Manufacturing equipment/components, listing various technical items. - Column 3: "Uvolnění dodavatelé" - Released suppliers, listing approved suppliers for each item. - Column 4: "Potenciální dodavatelé" - Potential suppliers, listing additional suppliers that could be considered. - Column 5: "Poznámky" - Notes, providing additional information or specifications for each item. 5. **Rows from 21 to 38:** - The table includes specific components such as "Indukční senzory, polohové spínače a koncové spínače" (Inductive sensors, position switches, and limit switches). - Indicates approved suppliers like "Balluff, IFM Electronic" and potential suppliers like "Sick." - Notes specify adherence to "Specificace Škoda Auto a.s." for many items, ensuring they meet Škoda's standards. **Structure and Layout Analysis:** 1. **Document Layout:** - The visual content is organized as a structured table spanning rows 21 to 38, with clear column headers and slight coloring for rows to enhance readability. 2. **Branding and Design:** - Contains the Škoda logo, reinforcing the brand. - Consistent use of fonts and colors within the table for professional appearance. **Table Analysis:** 1. **Contents Overview:** - Lists various industrial components and equipment essential for manufacturing. - Specifies suppliers both currently approved ("Uvolnění dodavatelé") and potential options ("Potenciální dodavatelé"). 2. **Detailed Data:** - Each row provides comprehensive details about a specific component, emphasizing compatibility and standards specific to Škoda Auto. - Notes offer insightful commentary enabling quick understanding of compliance requirements. **Anomaly Detection:** - **Uniformity and Structure:** - No evident anomalies; the table follows a consistent structure and presents data clearly. **Color Analysis:** - **Dominant Colors:** - Predominantly white background with black text for readability. - Light yellow and gray shades highlight alternate rows, aiding in differentiating between lines. **Conclusion:** The provided visual content is a well-organized table from Škoda Auto detailing component suppliers and specifications. It primarily serves as a reference for standardizing equipment and components in their manufacturing processes. #################### File: MGH%20Anlage%2014.pdf Page: 4 Context: # Clamping MGH ## OP20 and following | Index | Description | |-------|------------------------------------------------| | 1 | Anbringeliste Teilnahme Bohrung | | 2 | Rohrflansch Detail Sillflans | | 3 | Gehäuseschraube Routinierung | | 4 | Druckpunktbohrung | | 5 | Öl Dichtungswechsel | | 6 | Beffestigung Rahmeneck | | 7 | Anbringeliste obere Schale | | 8 | Anbringeliste mittlere Schale | | 9 | Außenmutter Zylinderkopf | ### Additional Information - The figures marked as **T** and **S** correspond to specific assembly locations on the component. Image Analysis: **Image Analysis** 1. **Localization and Attribution:** - The image is single and occupies the entire page. - It will be referred to as **Image 1**. 2. **Object Detection and Classification:** - **Object Detected:** An engineering drawing of a mechanical part, likely an automotive component, possibly a gear housing or engine part. - **Classification:** Mechanical/Engineering drawing, highlighting various parts. 3. **Scene and Activity Analysis:** - **Scene Description:** The image depicts an exploded view of a mechanical part with multiple annotations pointing to specific components. - **Activities:** No specific activities are visible as it's a technical drawing. 4. **Text Analysis:** - **Detected Text:** - Title: "Clamping MGH" - Subtitle: "OP20 and following" - Description List (column format with numbers and descriptions): - 1. Rückholfeder Bohrrung - 2. Rollenlager Bolz Stiftaufnahme - 3. Getriebeputzen Drosselklappenaufnahmen - 4. Getriebeputzen Roeachauffnahmen - 5. Öl Rücklauf Getriebeputze - 6. Getriebeputzen Paddelhubung - 7. Achse und Lager Töpfe - 8. Rückhaltfeder Passstift/Führung - 9. Kugellagerbohrung - 10. Kugellager Dichtungsflansch - 11. Druckstift Bohrung - 12. Leerlauf Knopf Lagerbohrung - 13. Drossel Kugellagerbohrung - 14. Ölniveaustand Bolzen - 15. Öl Vettel Aufnahmebrücke - 16. Maximalen Zündblitzlage fest Sitz - **Text Significance:** The text provides detailed descriptions of the components and parts of the mechanical drawing, useful for understanding assembly or maintenance procedures. 5. **Diagram and Chart Analysis:** - **Type of Diagram:** Annotated mechanical drawing - **Components Labeled:** Various parts are labeled with letters and numbers correlating to descriptions in the text box. These include E, F, P, T, S, etc. 6. **Product Analysis:** - **Product Depiction:** The mechanical part likely belongs to an internal component of a vehicle, such as a transmission or engine housing. - **Key Features:** Multiple bolt holes, complex internal pathways for fluids or air, mounting points for bearings or other parts. - **Materials:** Likely metal, typically aluminum or cast iron for such components. 7. **Anomaly Detection:** - **Possible Anomalies:** No apparent anomalies in the technical drawing as it follows standard conventions for mechanical engineering schematics. 8. **Color Analysis:** - **Color Composition:** The image is primarily black and white, typical for technical schematics to ensure clarity. - **Impact:** The monochrome scheme focuses attention on structural details without distraction from colors. 9. **Perspective and Composition:** - **Perspective:** The drawing has a detailed perspective view, showing depth and contours. - **Composition:** The mechanical part is centrally placed with annotations clearly indicating key sections and features on the drawing. 10. **Contextual Significance:** - **Overall Document Context:** Likely part of a technical manual or engineering specifications document, crucial for automotive repair or assembly processes. - **Contribution:** Provides detailed insights into the assembly and components of the mechanical part, essential for technicians or engineers. 11. **Metadata Analysis:** - **Caption Information:** - "S3 | 05.08.2024 | Clamping MGH | PPK-E | Georgy Komarov" - **Significance:** Indicates the version (S3), date (05.08.2024), component type (Clamping MGH), document type (PPK-E), and possibly the creator (Georgy Komarov). 13. **Graph Numbers:** - **Column Breakdown:** - Data rows from 1 to 16, each corresponding to a specific component listed in the text analysis. **Additional Aspects:** - **Ablaufprozesse (Process Flows):** - The text and drawing suggest a sequential clamping or assembly process. - **Prozessbeschreibungen (Process Descriptions):** - Detailed process descriptions are provided in the text beside the numbers, likely for assembly or quality checks. - **Typen Bezeichnung (Type Designations):** - The text provides type designations for various mechanical components such as "Rückholfeder Bohrrung" and "Rollenlager Bolz Stiftaufnahme". - **Tables:** - The text list acts much like a table, matching numbered descriptions to parts on the drawing. Overall, **Image 1** serves as an intricate and detailed guide for understanding and working with a mechanical component, likely aimed at individuals in technical fields such as automotive engineering and maintenance. #################### File: MGH%20Anlage%2014.pdf Page: 8 Context: # Clamping MGH ## New clamping points for OP10 ### Clamping surfaces and projections of rest pads | Image | Status | |-------------|--------| | ![Clamping MGH Image 1](path_to_image1) | OK | | ![Clamping MGH Image 2](path_to_image2) | OK | | ![Clamping MGH Image 3](path_to_image3) | OK | **Note:** Replace `path_to_image1`, `path_to_image2`, and `path_to_image3` with the actual image paths. Image Analysis: ### Image Analysis **1. Localization and Attribution:** - **Image Numbering:** - Image 1: First image on the left - Image 2: Middle image - Image 3: First image on the right **2. Object Detection and Classification:** - **Image 1:** - Objects: Car part components, highlighting the clamping points. - Key Features: The clamping points on the car part are highlighted in green with red arrows indicating specific locations. - **Image 2:** - Objects: Similar car part components with additional clamping points. - Key Features: Similar depiction with clamping points highlighted in green and focused areas indicated by red arrows. - **Image 3:** - Objects: Car part components, emphasizing another set of clamping points. - Key Features: The same pattern of highlighting in green and red arrows showing precise points. **3. Scene and Activity Analysis:** - **Overall Scene:** All three images focus on different sections of a car component system, highlighting new clamping points relevant for OP10 (Operation 10). - **Activities:** - Highlighting and verifying new clamping points and rest pad surfaces. - Ensuring the identified points are appropriate for the given operation stage as indicated by “OK.” **4. Text Analysis:** - **Detected Text:** - "Clamping MGH" - "New clamping points for OP10" - "Clamping surfaces and projections of rest pads" - "OK" (under each image) - Additional footer text implying internal use and a specific date and author. - **Text Significance:** - The primary text informs about new clamping points designed for a specific operational code (OP10). - The consistent "OK" under each image suggests verification and approval of the highlighted clamping points. **9. Perspective and Composition:** - **Perspective:** - All images are close-up views, providing detailed insights into particular parts of the car components. - Angled views focusing on non-linear components suggesting a 3-dimensional analysis standard. - **Composition:** - The images are arranged side by side to allow comparison. - Each image has internal highlighting that guides the viewer's attention towards the critical points relevant to the operational process. **10. Contextual Significance:** - The images and text collectively detail a technical update or modification for a car manufacturing/engineering process. - They serve the purpose of demonstrating and verifying new clamping points effectiveness in practical scenarios (Operation 10). **13. Graph Numbers and Additional Aspects:** - **Process Descriptions:** - This is a technical document presenting process improvements, specifically adding new clamping points for operational efficiency. - **Type Designations:** - OP10 refers to a specific task or operation in the assembly or manufacturing process. ### Summary In the analyzed visuals, we focused on the technical aspects of incorporating new clamping points in car components for a designated operation (OP10). The consistent use of highlighting and arrow indicators draws attention towards key functional points. The overall structure, including perspectives and text descriptions, enhance the understanding and verification of these modifications for internal operational assurance. ########## """QUERY: Give me a summary""" Consider the chat history for relevant information. Use all information included. Use as much tokens as needed. Important: If you find information separated by a | in the context, it is a table formatted in Markdown.Important: Take a look at the QUERY and only the QUERY. If this is vague or unclear, please ignore everything and ask a follow-up question instead! Final Files Sources: VW%2010130_CS.pdf - Page 1, VW%2010130_CS.pdf - Page 2, VW%2010130_CS.pdf - Page 3, VW%2010130_CS.pdf - Page 6, VW%2010130_CS.pdf - Page 7, VW%2010130_CS.pdf - Page 10, VW%2010130_CS.pdf - Page 11, VW%2010130_CS.pdf - Page 13, VW%2010130_CS.pdf - Page 18, VW%2010130_CS.pdf - Page 23, VW%2010130_CS.pdf - Page 26, VW%2010130_CS.pdf - Page 27, VW%2010130_CS.pdf - Page 28, VW%2010130_CS.pdf - Page 32, VW%2010130_CS.pdf - Page 33, VW%2010130_CS.pdf - Page 34, 0qa_901_108-sspha_mg_ftz%281%29.pdf - Page 7, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 10, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 23, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 24, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 27, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 31, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - Page 45, Differenzbeschreibung_Volkswagen_Group_Comp_Global_01-2024.DE.pdf - 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Page 11, VW%2010130_DE.pdf - Page 12, VW%2010130_DE.pdf - Page 16, VW%2010130_DE.pdf - Page 20, VW%2010130_DE.pdf - Page 21, VW%2010130_DE.pdf - Page 28, VW%2010130_DE.pdf - Page 29, VW%2010130_DE.pdf - Page 30, VW%2010130_DE.pdf - Page 34, 12533161829500_tra___wsk_016_862_ae_1_v1_1%281%29.pdf - Page 3, 12533161829500_tra___wsk_016_862_ae_1_v1_1%281%29.pdf - Page 12, Anfrage%20Mail.pdf - Page 1, MGH%20Anlage%2014%281%29.pdf - Page 5, VW%2010130_EN%281%29.pdf - Page 2, VW%2010130_EN%281%29.pdf - Page 3, VW%2010130_EN%281%29.pdf - Page 4, VW%2010130_EN%281%29.pdf - Page 5, VW%2010130_EN%281%29.pdf - Page 6, VW%2010130_EN%281%29.pdf - Page 10, VW%2010130_EN%281%29.pdf - Page 12, VW%2010130_EN%281%29.pdf - Page 13, VW%2010130_EN%281%29.pdf - Page 15, VW%2010130_EN%281%29.pdf - Page 17, VW%2010130_EN%281%29.pdf - Page 22, VW%2010130_EN%281%29.pdf - Page 23, VW%2010130_EN%281%29.pdf - Page 25, VW%2010130_EN%281%29.pdf - Page 26, VW%2010130_EN%281%29.pdf - Page 27, VW%2010130_EN%281%29.pdf - Page 32, VW%2010130_EN%281%29.pdf - Page 34, VW%2010130_EN%281%29.pdf - Page 36, VW%2010130_DE%281%29.pdf - Page 3, VW%2010130_DE%281%29.pdf - Page 6, VW%2010130_DE%281%29.pdf - Page 8, VW%2010130_DE%281%29.pdf - Page 14, VW%2010130_DE%281%29.pdf - Page 35, 22121726223700_lah___wsk_016_862_ae_1_v1_11%281%29.pdf - Page 9, 22121726223700_lah___wsk_016_862_ae_1_v1_11%281%29.pdf - Page 11, Standardanschreiben%281%29.pdf - Page 2, 240911_Skoda_Automation_GGH_Portal_direkt.pptx - Page 1, 240911_Skoda_Automation_GGH_Portal_direkt.pptx - Page 4, 240911_Skoda_Automation_GGH_Portal_direkt.pptx - Page 5, 240911_Skoda_Automation_GGH_Portal_direkt.pptx - Page 8, 240910_Skoda_Automation_MGH_Portal_direkt.pptx - Page 7, 240910_Skoda_Automation_MGH_Portal_direkt%281%29.pdf - Page 2, 240910_Skoda_Automation_MGH_Portal_direkt%281%29.pdf - Page 6, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf - Page 1, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf - Page 2, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf - Page 3, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf - Page 4, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5%281%29.pdf - Page 5, 22121726223700_lah___wsk_016_862_ae_1_v1_11.pdf - Page 8, 0qa_901_108-sspha_mg_ftz.pdf - Page 7, 240911_Skoda_Automation_GGH_Portal_direkt.pdf - Page 3, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE%281%29.pdf - Page 4, TZ_Linka%20obrabeni%20motorove%20skrine%20elektropohonu%20SSP%20v5_DE%281%29.pdf - Page 9, Interni%20smernice%20-%20komponenty%20SZ_CZ.pdf - Page 4, MGH%20Anlage%2014.pdf - Page 4, MGH%20Anlage%2014.pdf - Page 8 ================================================== **Elapsed Time: 0.53 seconds** ================================================== FINAL ANSWER Answer: test ================================================== **Elapsed Time: 4.88 seconds** ==================================================