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GB/T 41723-2022 English PDF

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GB/T 41723-2022: Automation systems and integration - Digital twin architecture of complex product
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PDF similar to GB/T 41723-2022


Standard similar to GB/T 41723-2022

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Basic data

Standard ID GB/T 41723-2022 (GB/T41723-2022)
Description (Translated English) Automation systems and integration - Digital twin architecture of complex product
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard J07
Word Count Estimation 18,149
Issuing agency(ies) State Administration for Market Regulation, China National Standardization Administration

GB/T 41723-2022: Automation systems and integration - Digital twin architecture of complex product


---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.
Automation systems and integration - Digital twin architecture of complex product ICS 35.240.50 CCSJ07 National Standards of People's Republic of China Automated systems and integrated complex products Digital Twin Architecture Published on 2022-10-12 2023-05-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration directory Preface I Introduction II 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Abbreviations 2 5 DTA-CP Architecture 3 5.1 Overview 3 5.2 Physical space layer 3 5.3 Virtual and real data management layer 3 5.4 Digital Twin Model Layer 4 5.5 Business Interaction Layer 4 5.6 Application and Decision Layer 4 6 Logical Architecture and Functions of Main Modules of DTA-CP 4 6.1 Virtual and Real Data Management Logical Architecture and Functions 4 6.2 Digital Twin Model Logical Architecture and Function 6 6.3 Physical-Virtual Space Synchronization Mapping Logical Architecture and Function 8 6.4 Design-Manufacture-Service Collaboration Logical Architecture and Function 9 Reference 14

foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents" drafted. Please note that some content of this document may be patented. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed by China Machinery Industry Federation. This document is under the jurisdiction of the National Automation System and Integration Standardization Technical Committee (SAC/TC159). This document is drafted by. Northwestern Polytechnical University, Beihang University, Beijing Machinery Industry Automation Research Institute Co., Ltd., China Aviation Commercial Aviation Engine Co., Ltd., Tsinghua University, China Aviation Comprehensive Technology Research Institute, CRRC Information Technology Co., Ltd., CSIC Industrial Information Technology Co., Ltd., China FAW Group Co., Ltd., Aerospace Science and Industry Simulation Technology Co., Ltd., Xi'an University of Posts and Telecommunications, Heavy Qing University, Anshi Asia-Pacific Technology Co., Ltd., Jiangsu Changjiang Intelligent Manufacturing Research Institute Co., Ltd., Qingdao Haier Industrial Intelligence Research Institute Co., Ltd., Donghua University, CRRC Tangshan Locomotive and Rolling Stock Co., Ltd., China Machinery Research Institute Standard Technology Research Institute (Beijing) Co., Ltd., China Electronics Technology Standardization Research Institute, National Industrial Information Security Development Research Center, Tongji University, Shenzhen Hualong Xunda Information Technology Co., Ltd., Jinhang Digital Technology Co., Ltd., Jianwei Software Technology (Shanghai) Co., Ltd., Liaocheng University, Kingdee Software (China) Co., Ltd., Architecture Materials Industry Information Center, Beizi Institute (Beijing) Technology Development Co., Ltd., Rockwell Automation (China) Co., Ltd. The main drafters of this document. Zhang Yingfeng, Ren Lei, Yin Zuozhong, Huang Binbin, Zhao Xibin, Huang Bo, Ren Shan, Wang Haidan, Wu Canhui, Zhao Yongxuan, Zhang Lin, Zhang Baoling, Zang Daxin, Wu Qingcai, Zhu Xuewu, Li Xiaobin, Duan Haibo, Liu Yuming, Zhang Jie, Ren Taolin, Liu Xin, Han Lixin, Liu Yi, Zhou Yaqin, Lai Li Yuanjun, Cai Weihua, Jiang Pei, Wu Bin, Pan Kanghua, Li Genzi, Li Jun, Hu Lin, Wensha, Sun Qun, Sun Faliang, He Honghong, Liu Min, Dong Lei, Dai Baochun, Han Dongyang, Sun Chengwu, Chen Xi, Xu Hui, Ren Jianxun, Wu Hongwen, Zhang Yajie, Li Yan, Chen Chao.

Introduction

The design, manufacture and service of complex products involve the association and coupling between different fields, disciplines and systems. To improve complex production improve the efficiency and quality of product R&D, manufacturing, operation and maintenance, etc., improve the management and control level of its main business and its own level of intelligence, including actual Real-time simulation and prediction of complex product performance, establishment of real-time mapping and interaction between virtual space and physical space of complex products, based on virtual space The simulation results guide and control the physical entities of complex products, promote the integration and collaboration of major businesses in all stages of design-manufacturing-service, and improve complex Product self-diagnosis and self-decision-making capabilities, etc., it is urgent to adopt a new generation of information technology and advanced data analysis technology to design, manufacture and analyze complex products. Intelligent management and control of services and other processes. The complex product digital twin architecture proposed in this document starts from the life cycle stages of design, manufacturing and service, and adopts digital twin Technology to establish and manage virtual and real data and digital twin models of complex product design, manufacturing and service processes, and then realize digital twin drive Real-time mapping of virtual and real space for complex product design, manufacturing and service, and interactive collaboration of business activities under the Provide solutions and ideas for energy and chemical upgrading of complex products, and form an intelligent complex with the characteristics of self-adaptation, self-decision, self-diagnosis, virtual-real interaction, etc. miscellaneous products. Automated systems and integrated complex products Digital Twin Architecture

1 Scope

This document specifies the digital twin architecture of complex products, and specifies the virtual reality of complex products in the process of design, manufacture and service Logical architecture of data management module, digital twin model module, physical-virtual space synchronous mapping module, design-manufacturing-service collaboration module with the main function. This document is applicable to the top-level planning and intelligent upgrade of the digital twin system of complex product design, manufacturing and service processes.

2 Normative references

There are no normative references in this document.

3 Terms and Definitions

The following terms and definitions apply to this document. 3.1 complexproductscomplexproducts A type of product with complex customer needs, complex product composition, complex product technology, complex manufacturing process, and complex production management. [Source. GB/T 36457-2018, 3.1] 3.2 digital twin Hybrid model consisting of physical assets, virtual images, and user interfaces. [Source. ISO /T R24464.2020, 3.1.4] 3.3 It integrates a multi-disciplinary, multi-physics, multi-scale, multi-probability digital model collection, which can make full use of realistic physical models, sensors, Operation history and other data, complete the real-time mapping of physical entities in the virtual space, and reflect the design, manufacture and service of complex product physical entities The physical activities of the process, and produce virtual and real interaction effects with it. 3.4 big data Massive, multi-source, heterogeneous real-time/non-real-time data generated in the design, manufacturing and service process of complex products, with large amounts of data and various types of data. With the characteristics of a wide variety, fast data generation, and fast data change and update, scalable technology can be used for storage, processing, management and analysis. [Source. ISO /IEC 20546.2019, 3.1.2, with modifications] 3.5 modelbaseddefinition A complete product definition defined by a dataset of precise geometric entities, related 3D geometry, 3D annotations and attributes. [Source. GB/T 36252-2018, 3.1.3]

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