GB/T 42138-2022 English PDF

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GB/T 42138-2022: Guidelines for intelligent manufacturing capability construction for process industry
Status: Valid

Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 42138-2022	199	Add to Cart	3 days	Guidelines for intelligent manufacturing capability construction for process industry	Valid

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Basic data

Standard ID: GB/T 42138-2022 (GB/T42138-2022)
Description (Translated English): Guidelines for intelligent manufacturing capability construction for process industry
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L70
Classification of International Standard: 35.240.50
Word Count Estimation: 10,182
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 42138-2022: Guidelines for intelligent manufacturing capability construction for process industry

---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 35.240.50 CCSL70 National Standards of People's Republic of China Guidelines for Capacity Building of Process-based Intelligent Manufacturing process industry Posted on 2022-12-30 2023-07-01 implementation State Administration for Market Regulation Released by the National Standardization Management Committee

table of contents

Preface I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Abbreviations 2 5 Overall method of intelligent manufacturing capacity building 2 6 Life cycle dimension intelligent manufacturing capacity building 2 6.1 Life cycle data collection capability 2 6.2 Lifecycle Interconnection Capabilities 3 6.3 Life cycle data visualization capability 3 6.4 Life cycle data analysis capability 3 6.5 Life cycle decision optimization capability 3 7 System-level dimensions of intelligent manufacturing capacity building 4 7.1 System-level data collection capabilities 4 7.2 System-level interconnection and intercommunication capabilities 4 7.3 System-level data visualization capability 4 7.4 System-level data analysis capabilities 5 7.5 System-level decision-making optimization capabilities 5 Reference 6

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 contents of this document may refer to patents. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed and managed by the Ministry of Industry and Information Technology of the People's Republic of China. This document is drafted by. China Institute of Electronic Technology Standardization, Shenzhen Saixi Information Technology Co., Ltd., Jiangsu Saixi Technology Development Co., Ltd. Co., Ltd., Yunnan Kunming Ship Design and Research Institute Co., Ltd., Petrochemical Yingke Information Technology Co., Ltd., Principal Software Evaluation and Certification Center (Shenzhen Shenzhen) Co., Ltd., Lenovo (Beijing) Co., Ltd., Baowu Equipment Intelligent Technology Co., Ltd., Changsha Nonferrous Metallurgy Design and Research Institute Co., Ltd., Aibo Rui (Jiangsu) Technology Development Co., Ltd., Zhejiang Zhongkong Technology Co., Ltd., Hangzhou Hollysys Automation Co., Ltd., Qingdao Baojia Intelligent Equipment Co., Ltd., Shanghai Intelligent Manufacturing Functional Platform Co., Ltd., CSSC Ninth Design and Research Institute Engineering Co., Ltd., Heilongjiang Provincial Academy of Sciences Intelligent Manufacturing Institute, Jianwei Software Technology (Shanghai) Co., Ltd., Ship Information Research Center (China Shipbuilding Corporation No. 714 Research Institute), East China University of Science and Technology, North China University of Technology, SINOMACH Industrial Internet Research Institute (Henan) Co., Ltd., Beijing Mechanical Engineering Industrial Automation Research Institute Co., Ltd., Metallurgical Industry Information Standard Research Institute, Qingdao Kute Intelligent Co., Ltd., Harbin Institute of Technology Robotics (Shan East) Intelligent Equipment Research Institute, Beijing Yiqing Research Institute Co., Ltd., Shenzhen Hualong Xunda Information Technology Co., Ltd., Shandong Province United Intelligence Manufacturing Research Institute, Beijing Shougang Automation Information Technology Co., Ltd. The main drafters of this document. He Honghong, Wei Sha, Zhou Hang, Li Jia, Cheng Yuhang, Shen Chao, Yang Biao, Yu Wenguang, Yang Dalei, Mei Jun, Yan Feng, Yang Fan, Jiang Baihua, Liao Shaohua, Sun Jiexiang, Suo Hansheng, Liu Dongqing, Cao Jun, Wang Jing, Chen Junyu, Gong Wei, Yang Jingya, Zhang Baogang, Wang Hongtao, Zhai Qingming, Li Yu, Wang Jing, He Zhiyong, Liu Lanbing, Li Haibin, Zhang Guangrui, Xiang Yiyi, Zhao Yu, Zhao Chuan, Liu Zihao, Jin Baobao, Liu Xue, Gai Wei, Zhao Jingjing, Huang Wenjun, Lang Junqi, Long Xiaoang, Chen Xi, Zuo Yonghong, Shi Shengjun, Xiong Guanchu, Wang Yanjun. Guidelines for Capacity Building of Process-based Intelligent Manufacturing

1 Scope

This document provides guidance on the capacity building of process-based intelligent manufacturing, and gives the overall method, as well as dimensions such as life cycle and system level. Suggestions for smart manufacturing capacity building. This document is applicable to process-based manufacturing enterprises, as well as providing intelligent manufacturing capacity building consulting, training and implementation services for process-based manufacturing enterprises. service personnel and institutions.

2 Normative references

The contents of the following documents constitute the essential provisions of this document through normative references in the text. Among them, dated references For documents, only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to this document. GB/T 39116-2020 Intelligent Manufacturing Capability Maturity Model GB/T 39117-2020 Smart Manufacturing Capability Maturity Assessment Method

3 Terms and Definitions

The following terms and definitions apply to this document. 3.1 In order to achieve the goal of intelligent manufacturing, the enterprise manages and comprehensively applies the degree and improvement process of personnel, technology, resources, and manufacturing. Note. The improvement process is mainly reflected in data collection, interconnection, visualization, data analysis, decision optimization, etc. in the life cycle dimension and system level dimension aspect. [Source. GB/T 39116-2020, 3.1.1, with modifications] 3.2 process manufacturing Adding value to raw materials in a batch or continuous manner by mixing, separating, pulverizing, heating and other physical or chemical methods of raw materials manufacturing mode. Note. Usually includes various raw material processing and energy industries such as petroleum, chemical industry, papermaking, metallurgy, electric power, light industry, pharmaceuticals, environmental protection, etc. 3.3 lifecycle lifecycle All stages from product prototype development to product recycling and remanufacturing. [Source. GB/T 40647-2021, 3.2] 3.4 system level systemhierarchy The hierarchical division of the organizational structure related to enterprise production. Note. It mainly includes equipment, unit, workshop, factory, enterprise, collaboration and other levels. Process manufacturing enterprises are usually not subdivided into the equipment level. ......

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