GB/T 23024-2024Digital simulation in manufacturing industry - Classification (English PDF)

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 for standardization documents" Drafting. Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents. This document was proposed by the Ministry of Industry and Information Technology of the People's Republic of China. This document is under the jurisdiction of the National Technical Committee for Standardization of Information and Industrialization Integration Management (SAC/TC573). This document was drafted by: Beijing University of Aeronautics and Astronautics, National Industrial Information Security Development Research Center, Beijing Simulation Center, Beijing Near-Earth Science and Technology University, Beijing University of Aeronautics and Astronautics... Aircraft Systems Engineering Institute, Ansem Asia Pacific Technologies Co., Ltd., Chengdu Aircraft Industry (Group) Co., Ltd., Chongqing Sichuan Instrument Control Valve Co., Ltd., Shenzhen Nars Fashion Co., Ltd., Industrial Cloud Manufacturing (Sichuan) Innovation Center Co., Ltd., Beijing Huaru Technology Co., Ltd. Co., Ltd., Caos Industrial Intelligence Research Institute (Qingdao) Co., Ltd., Beijing Space Vehicle General Design Department, Aerospace Cloud Network Technology Development Co., Ltd., Zhejiang Jiangshan Transformer Co., Ltd., Shandong Inspur Intelligent Production Technology Co., Ltd., Zhejiang Keli Vehicle Control System Co., Ltd., Zhejiang Odeon Transmission Technology Co., Ltd., Zhejiang Yili Automotive Air Conditioning Co., Ltd., Kunlun Digital Intelligence Technology Co., Ltd. Company, Jiejiang Network Technology (Dalian) Co., Ltd., Puhui Intelligent Manufacturing Technology Co., Ltd., Shanghai Yuzhang Electric Co., Ltd., Gaoshi Technology Technology (Suzhou) Co., Ltd., Shanghai Keliang Information Technology Co., Ltd., Ningbo Hanke Medical Equipment Co., Ltd., Sany Heavy Industry Co., Ltd. Co., Ltd., Hangzhou Eda Precision Electromechanical Technology Co., Ltd., Beijing Nalande Technology Co., Ltd., Hanwei Guangyuan (Guangzhou) Machinery Equipment Co., Ltd., Rainbow Display Devices Co., Ltd., China Electronics Engineering Design Institute Co., Ltd., Weili Electromechanical (Suzhou) Co., Ltd., Haimxing Laser Technology Group Co., Ltd., Guangdong Midea Kitchen Appliance Manufacturing Co., Ltd., Fujian Shenyue Foundry Co., Ltd., Laiye Technology (Beijing) Co., Ltd., CNNC Seventh Research and Design Institute Co., Ltd., Shanghai Liantai Technology Co., Ltd., Yuhong Technology (Shenzhen) Co., Ltd., Shenzhen Jintian International Software Technology Co., Ltd., Changzhou Tianzheng Industrial Development Co., Ltd., Zhejiang Meike Sun Energy Technology Co., Ltd., Jiangxi Guanying Intelligent Technology Co., Ltd., Wuhan Xinweiqi Technology Co., Ltd., Zhongke Cloud Universe (Beijing) Technology Co., Ltd., Kingdee Software (China) Co., Ltd., Tianjin Optoelectronics Special Communication Equipment Co., Ltd., Zhongxin Aviation Technology Co., Ltd. Company, Wuhan Huagong Saibai Data System Co., Ltd., Suzhou Huaxing Yuanchuang Technology Co., Ltd., Zhejiang Yuansuan Technology Co., Ltd., Shanghai Xuan Tian Intelligent Technology Co., Ltd., Tangshan Dayi Technology Co., Ltd., Shanghai Process Intelligent Manufacturing Technology Innovation Research Institute Co., Ltd., Beijing Beijing Instrument Automation Equipment Technology Co., Ltd., Guizhou Electronic Information Vocational and Technical College. The main drafters of this document are. Zhang Lin, Li Jun, Wen Sha, Wang Kunyu, Tang Yiqiang, Shi Guoqiang, Tie Ming, Tian Feng, Jiang Yongbing, Liu Gang, Wu Qingye, Huang Zhixin, Li Tao, Chen Minjie, Song Zhigang, Sheng Guojun, Liu Xia, Chai Xudong, Jiang Zhenjun, Zhan Bo, Chen Lucheng, Zhang Lijun, Huang Junfeng, Huang Huikai, Zhang Jian, Jing Kai, Xu Shunyi, Ding Yan, Sun Jiguo, Wang Kefei, Zheng Min, Jiang Yong, Li Hongbiao, Zhang Jianming, Qi Yongjun, Zhang Shaote, Yang Lili, Chen Lei, Cheng Xinghua, Wang Zhonglin, Jiang Zhidong, Xia Guocai, Zhan Jufeng, Wang Guanchun, Zhang Xing, Yu Qingxiao, Xu Fuxian, Xia Biwu, Zhang Chonghao, Wang Yicheng, Chu Rui, Wang Qifeng, Yu Jun, He Shengming, Wang Yezhong, Su Jinxiu, Li Miao, Zheng Xiang, Dai Heng, Chen Wenyuan, Wu Jianming, Chen Yuanming, Zhong Liang, He Renlong, Li Xuan, Huang Siqi.

As digital technologies such as big data, cloud computing, and artificial intelligence continue to integrate deeply with the manufacturing industry, the pace of digital transformation in the manufacturing industry is accelerating. Giving full play to the enabling role of digital technology in the total factor productivity of the manufacturing industry is the general consensus and common choice for the current high-quality development of the manufacturing industry. Digital simulation is an important solution to promote the digital transformation of manufacturing industry, and to a certain extent reflects the digital transformation of manufacturing industry. Improving the application capability of digital simulation is helpful for manufacturing enterprises to reduce development costs, enhance independent innovation capabilities, and seize market competition. It plays an important role in gaining competitive advantages and building resource-saving, environmentally friendly and continuously innovative enterprises. At present, digital simulation has been widely used in product development and design in many manufacturing fields, and has been extended to production, testing, verification, It has become an indispensable method and tool in manufacturing activities throughout the entire life cycle of operation and maintenance. However, most manufacturing companies have little understanding of digital simulation. The lack of in-depth and systematic understanding and application of digital simulation has hindered the full play of the effectiveness of digital simulation. The real application level is still in its infancy. In this context, it is urgent to develop a systematic, scientific and effective standard and guide manufacturing enterprises. Develop standards for digital simulation applications to meet the needs of digital transformation. This document classifies and systematically explains the current and emerging digital simulations in the manufacturing industry from multiple dimensions. It provides scientific basis and guidance for the application of digital simulation in the manufacturing industry, which is conducive to accelerating the popularization and in-depth application of digital simulation in the manufacturing industry. Use it to promote the digital transformation and upgrading of the manufacturing industry and high-quality development. Classification of digital simulation in manufacturing industry

1 Scope

GB/T 23024-2024 is the Chinese national standard on digital simulation in manufacturing industry - classification, in the field of information technology. The /T suffix marks it as a recommended standard: it is not compulsory by itself, but it becomes binding as soon as a contract, a tender or a customer specification calls it up - which in practice is how most foreign buyers meet it. It was issued on 23 August 2024 by the State Administration for Market Regulation; Standardization Administration of China, and has been in force since 1 December 2024. Classification: ICS 35.240.50, CCS L67. This page is published from the official record of the standard held by the Chinese standards administration: the identification, the dates, the classification and the issuing body are taken from there. The clause text, the tables and the numeric limits are in the document itself, which is delivered complete in English translation.

This document provides the classification principles, classification dimensions and specific classification of digital simulation in manufacturing industry, and stipulates the classification of digital simulation in manufacturing industry. Coding method and classification code table. This document is applicable to digital simulation applications in manufacturing.

2 Normative references

This document has no normative references.

3 Terms, definitions and abbreviations

3.1 Terms and Definitions The following terms and definitions apply to this document.

3.1.1 For each link in the whole life cycle of manufacturing industry, digital models are used to reproduce some essential processes that occur in the actual system, and A series of activities to study, analyze, and improve a system that actually exists or is still in the design stage through model testing.

Note. Hereinafter referred to as simulation.

3.2 Abbreviations The following abbreviations apply to this document.

4 Classification principles

4.1 Generality The classification of digital simulation in the manufacturing industry needs to take into account the common characteristics of the manufacturing industry and ensure that the classification is consistent with the digital characteristics of all segments of the manufacturing industry. The simulation is universal.

4.2 Orthogonality Digital simulation of manufacturing industry is classified from multiple dimensions. The same dimension is divided into multiple categories. Different classes of degree are guaranteed to be non-repetitive, non-intersecting and orthogonal to each other.

4.3 Comprehensiveness The classification of digital simulation in manufacturing industry should include all types of digital simulation currently in use and newly emerging in manufacturing industry, ensuring full coverage. Surface nature.