GB/T 42980-2023 English PDF

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GB/T 42980-2023: Intelligent manufacturing - Online detection system based on machine vision - Test method
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Basic data

Standard ID: GB/T 42980-2023 (GB/T42980-2023)
Description (Translated English): Intelligent manufacturing - Online detection system based on machine vision - Test method
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L67
Classification of International Standard: 35.240.50
Word Count Estimation: 14,132
Date of Issue: 2023-09-07
Date of Implementation: 2024-04-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 42980-2023: Intelligent manufacturing - Online detection system based on machine vision - Test method

---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 CCSL67 National Standards of People's Republic of China Intelligent manufacturing machine vision online inspection system Test Methods Published on 2023-09-07 2024-04-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration Committee

Table of contents

Preface III 1 Scope 1 2 Normative reference documents 1 3 Terms and Definitions 1 4 Abbreviations 1 5 General rules 1 5.1 Overview 1 5.2 Test environment 2 6 Machine Vision Online Inspection System Functional Test Method 2 6.1 Operating mode 2 6.2 System configuration 2 6.3 System self-diagnosis 2 6.4 Remote maintenance 3 6.5 Interconnection 3 7 Machine Vision Online Inspection System Performance Test Method 3 7.1 Accuracy3 7.2 Speed 4 7.3 Reliability5 7.4 Accuracy5 7.5 Compatibility 6 7.6 Consistency 6 7.7 Security 6 Appendix A (informative) Testing process of machine vision online inspection system 7 Appendix B (informative) Correspondence to GB/T 40659-2021 8

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents" Drafting. This document is used in conjunction with GB/T 40659-2021 "General Requirements for Machine Vision Online Inspection Systems for Intelligent Manufacturing" to form a joint It has become a series of national standards for machine vision online inspection for intelligent manufacturing. Please note that some content in this document may be subject to patents. The publisher of this document assumes no responsibility for identifying patents. This document is proposed and administered by the Ministry of Industry and Information Technology of the People's Republic of China. This document was drafted by. China Electronics Technology Standardization Institute, China Electronics Technology Standardization Institute East China Branch, Lingyun Optical Technology Co., Ltd., Anhui Juyi Technology Co., Ltd., Hangzhou Haikang Robot Technology Co., Ltd., EVOC Intelligent Technology Co., Ltd. Company, Suzhou Tianzhun Technology Co., Ltd., Shaanxi Vision Intelligent Manufacturing Technology Co., Ltd., Shanghai Intelligent Manufacturing Function Platform Co., Ltd., Xi’an Angola University, Shenzhen Zhongke Feichi Technology Co., Ltd., Xiamen Hualian Electronics Co., Ltd., Shenji (Shanghai) Intelligent System Research and Development Design Co., Ltd., Xiamen Yingqu Technology Co., Ltd., Ningxia Juneng Robot Co., Ltd., Jiangsu Zhongtian Internet Technology Co., Ltd. Division, Hubei Gechuangdongzhi Technology Co., Ltd., Chongqing Dexin Robot Testing Center Co., Ltd., State Grid Ningxia Electric Power Co., Ltd. Electric Power Science Research Institute, Xi'an Shaangu Power Co., Ltd., Huazhong University of Science and Technology, Nanjing Chenguang Group Co., Ltd., Fuzhou Data Technology Research Institute Co., Ltd., Wuxi Pioneer Intelligent Equipment Co., Ltd., Beijing Dongtu Technology Co., Ltd., Wuhan Jingce Electronics Group Co., Ltd. Company, Zhengtu New Vision (Jiangsu) Technology Co., Ltd., Beijing Institute of Petrochemical Technology, CITIC Dicastal Co., Ltd., Beijing Institute of Technology (Beijing) Technology Development Co., Ltd., Hexagon Manufacturing Intelligence Technology (Qingdao) Co., Ltd., Qingdao Hairong Commercial Cold Chain Co., Ltd., China Textile Machinery Association, Wonderful Technology Co., Ltd., Harbin Boshi Automation Co., Ltd., Guangdong Samson Technology Co., Ltd., Dong Hua University, Xinte Energy Co., Ltd., Benchmark Precision Industry (Huizhou) Co., Ltd., Dalian Longsheng Clothing Co., Ltd., Shanghai Industrial Automation Chemical Instrument Research Institute Co., Ltd., Guizhou Xin'an Aviation Machinery Co., Ltd. The main drafters of this document. Hu Lin, Guo Nan, Han Li, Zhang Xin, Zhang Hui, Jingang, Yu Haiyang, Tang Wei, Wang Bo, Jiang Lingzhi, Zhang Chi, Pang Guanshi, Lin Miao, Ji Tingyu, Cao Kuikang, Luo Cong, Zuo Peng, Wang Bo, Liu Hengbo, Mei Jun, Ding Leiming, Wu Feng, Chen Lu, Yang Le, Lang Junqi, Chen Guo, Chen Ge, Qiu Mingyong, Liu Yicheng, Chen Jiancheng, Li Zhibo, Ma Hui, Shi Zongsheng, Qu Lixiao, Yuan Xin, Zhong Shaotian, Zhao Ying, Wang Xiaoping, Gao Bo, Zhang Qingping, Yuan Bo, Fu Pengfei, Xia Min, Hu Xuemei, Su Chao, Wang Yingrui, Ding Hui, Shao Xisheng, Cheng Yuan, Wang Yansong, Liu Ronghua, Li Zhenxuan, Huang Liang, Tao Shenghui, Wang Yong, Xu Hui, Xu Qingling, Li Shangyong, Ren Fei, Hou Xi, Dong Ying, Li Xiliang, Zhang Jingdong, Xia Deli, Wu Qi, Feng Pei, Yang Chongchang, Zheng Fei, Zhang Jiale, Zhang Qingxiang, Yang Ouyang. Intelligent manufacturing machine vision online inspection system Test Methods

1 Scope

This document specifies the testing environment, system function testing methods and systematic testing of machine vision online inspection systems in the field of intelligent manufacturing. Ability to test methods. This document is suitable for guiding the research and development, manufacturing, application institutions and enterprises of machine vision online inspection systems.

2 Normative reference documents

The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to this document. GB/T 5080.7-1986 Verification test of failure rate and mean time between failures under the assumption of constant failure rate in equipment reliability testing test plan GB/T 5226.1-2019 Mechanical and electrical safety mechanical and electrical equipment Part 1.General technical conditions GB/T 20438.1-2017 Functional safety of electrical/electronic/programmable electronic safety-related systems Part 1.General requirements GB/T 28448-2019 Information security technology network security level protection evaluation requirements GB/T 28449-2018 Information security technology network security level protection evaluation process guide GB/T 36344-2018 Information technology data quality evaluation indicators GB/T 40659-2021 General requirements for intelligent manufacturing machine vision online inspection systems

3 Terms and definitions

The terms and definitions defined in GB/T 40659-2021 apply to this document.

4 Abbreviations

The following abbreviations apply to this document. MTTR. Mean Time to Repair (MeanTimetoRepair)

5 General principles

5.1 Overview See Appendix A for the test process of the machine vision online inspection system. Chapters 6 and 7 describe functional and performance testing methods, ......

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