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Delivery: <= 4 days. True-PDF full-copy in English will be manually translated and delivered via email. GB/T 42128-2022: Intelligent manufacturing - Industrial data - Classification principle Status: Valid
Basic dataStandard ID: GB/T 42128-2022 (GB/T42128-2022)Description (Translated English): Intelligent manufacturing - Industrial data - Classification principle Sector / Industry: National Standard (Recommended) Classification of Chinese Standard: N10 Classification of International Standard: 25.040 Word Count Estimation: 18,159 Date of Issue: 2022-12-30 Date of Implementation: 2023-07-01 Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration GB/T 42128-2022: Intelligent manufacturing - Industrial data - Classification principle---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.ICS 25.040 CCSN10 National Standards of People's Republic of China Principles of industrial data classification for intelligent manufacturing Posted on 2022-12-30 2023-07-01 implementation State Administration for Market Regulation Released by the National Standardization Management Committee table of contentsPreface III Introduction IV 1 Scope 1 2 Normative references 1 3 Terms, Definitions and Abbreviations 1 4 Classification Requirements 1 4.1 Scientific 1 4.2 Business relevance 1 4.3 Practicality 2 4.4 Compatibility 2 4.5 Scalability 2 5 Classification basis 2 6 Classification dimension 2 6.1 Classification by system level 2 6.2 Classification by life cycle 3 6.3 Classification by intelligent features 6 Appendix A (informative) Examples of industrial data classified by system level8 Appendix B (informative) Example of industrial data classified by life cycle10 B.1 Example of product life cycle industrial data for process industries10 B.2 Discrete Industry Product Life Cycle Industry Data Example 11 Reference 13forewordThis document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules for Standardization Documents" drafting. This document is proposed by China Machinery Industry Federation. This document is under the jurisdiction of the National Industrial Process Measurement Control and Automation Standardization Technical Committee (SAC/TC124). This document is drafted by. Shanghai Industrial Automation Instrument Research Institute Co., Ltd., China Electronics Standardization Research Institute, Shanghai Intelligent Manufacturing Made Functional Platform Co., Ltd., Mechanical Industry Instrumentation Comprehensive Technology and Economic Research Institute, Beijing Likong Yuantong Technology Co., Ltd., Hunan Science and Technology University, Xi'an Shaangu Power Co., Ltd., Guangzhou Energy Testing Research Institute, Chongqing University of Posts and Telecommunications, Siemens (China) Co., Ltd., Xiamen Yudian Automation Technology Co., Ltd., Dongguan Institute of Technology, Xinte Energy Co., Ltd., Dongfeng Design and Research Institute Co., Ltd., Shanghai Electric Scientific Research Institute (Group) Co., Ltd., General Electric Power Planning Institute Co., Ltd., Shanghai Intelligent Manufacturing System Innovation Center Co., Ltd., China Science Academy of Shanghai Advanced Research Institute, Wuhan Marine Machinery Co., Ltd., Shenergy (Group) Co., Ltd., Ruili Group Ruian Auto Parts Co., Ltd. company. The main drafters of this document. Wang Ying, He Honghong, Liu Jun, Sun Yuxin, Zhang Guiling, Liu Zhongchao, Cheng Jixun, Zhao Kun, Lu Jiamin, Wei Min, Zhu Guoliang, Su Xiaoli, Zhang Zhaoyun, Liu Xiong, You Heping, Shen Wenting, Zhang Jinbin, Mei Jun, Zhang Aisen, Xiao Honglian, Dong Ying, Wang Gaohong, Ning Dejun, Li Yan, Liu Ke, Pan Yinbin, Li Jia, Han Li, Wang Fei, Liu Zhong, Bai Lu.IntroductionIn order to promote the normative application of industrial data in the field of intelligent manufacturing, the classification of industrial data in this document is mainly based on the "National Intelligent System Guide to the Construction of Manufacturing Standard System (2021 Edition)" system architecture as a guide, and comprehensively consider the overall level of my country's intelligent manufacturing, combined with industry characteristics to proceed. The intelligent manufacturing system architecture analyzes the elements, equipment, Activities and other content are described, which are mainly used to clarify the standardization objects and scope of intelligent manufacturing. The architecture of the intelligent manufacturing system is shown in Figure 1. in. The life cycle covers all stages from product prototype development to product recycling and remanufacturing, including design, production, logistics, sales, service services and a series of interrelated value creation activities. The system level refers to the hierarchical division of the organizational structure related to the production activities of the enterprise, including the equipment level, unit level, workshop level, enterprise level and Collaboration layer. Intelligent features refer to the representation of self-perception, self-decision-making, self-execution, self-learning, self-adaptation and other functions of manufacturing activities, including resource 5 layers of intelligent requirements such as elements, interconnection, integration and sharing, system integration and emerging formats. Figure 1 Architecture of intelligent manufacturing system Principles of industrial data classification for intelligent manufacturing1 ScopeThis document gives the classification requirements, classification basis and classification dimensions of intelligent manufacturing industrial data. This document is applicable to guide the classification of industrial data in the field of intelligent manufacturing.2 Normative referencesThis document has no normative references. 3 Terms, Definitions and Abbreviations The following terms and definitions apply to this document. 3.1 Terms and Definitions 3.1.1 industrial data industrialdata In the industrial field, it involves the data generated by all production activities and services of enterprises. 3.2 Abbreviations The following abbreviations apply to this document. BOM. Bill of Materials (BilofMaterial)4 Classification Requirements4.1 Scientificity According to the business needs of different industries and the industrial data characteristics of the industry, the most stable essential attributes or characteristics are used as the basis for classification Systematize according to a certain order and form a complete, independent, scientific and reasonable classification system. 4.2 Business relevance According to the business needs of the enterprise, the core business is the main dimension of industrial data classification. ......Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of GB/T 42128-2022_English be delivered?Answer: Upon your order, we will start to translate GB/T 42128-2022_English as soon as possible, and keep you informed of the progress. The lead time is typically 2 ~ 4 working days. 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