GB/T 44407-2024Intelligent service—Predictive maintenance—Requirement of virtual maintenance system (English PDF)
智能服务 预测性维护 虚拟维护系统技术要求
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Issued by
SAMR; SAC
Level / Type
National · Recommended
Issue date
August 23, 2024
Implementation date
March 1, 2025
Scope
GB/T 44407-2024 is the English-translated version of 智能服务 预测性维护 虚拟维护系统技术要求.
GB/T 44407-2024 is the Chinese national standard covering intelligent service, Predictive maintenance, Requirement of virtual maintenance system. Issued on 23 August 2024, it has been in force since 1 March 2025.
Document preview — GB/T 44407-2024
National Standard of the People's Republic of China
- ICS
- 25.040.40
- Classification
- N 19
Issued by: State Administration for Market Regulation; Standardization Administration of the PRC
Contents
- PrefaceIII
- 1 Scope1
- 2 Normative references1
- 3 Terms and Definitions1
- 4 Workflow2
- 5 System Framework2
- 6 Infrastructure Requirements3
- 6.1 Modeling Development Tools3
- 6.2 Interactive Devices3
- 6.3 Network Communication3
- 6.4 System Interface4
- 6.5 Security Management4
- 7 Data requirements4
- 7.1 Data Management4
- 7.2 Prototype Data4
- 7.3 Environmental data4
- 7.4 Operator Model Data5
- 7.5 Process Data5
- 7.6 Safety related data5
- 8 Modeling requirements5
- 8.1 Model Management5
- 8.2 Prototype Modeling5
- 8.3 Environmental Modeling6
- 8.4 Operator Modeling6
- 8.5 Process Modeling6
- 8.6 Security Factor Modeling7
- 9 System Function Requirements7
- 9.1 Maintenance Management and Solution Planning7
- 9.2 Maintenance plan verification and optimization8
- 9.3 Maintenance capability training9
- References10
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 is required.
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 China Machinery Industry Federation.
This document is under the jurisdiction of the National Technical Committee for Standardization of Industrial Process Measurement, Control and Automation (SAC/TC 124).
This document was drafted by: Mechanical Industry Instrumentation Comprehensive Technology and Economic Research Institute, Shanghai Huaxing Digital Technology Co., Ltd., Southwest Transportation University, Wuhan Dongyan Intelligent Design Institute Co., Ltd., China University of Petroleum (Beijing), Tsinghua University, Beijing Satellite Environmental Engineering Research Institute Institute, Shanghai University of Technology, Hangzhou Sanhai Electronic Technology Co., Ltd., Chongqing University of Posts and Telecommunications, CGN Research Institute Co., Ltd., Nanchang University, SKF (China) Co., Ltd., Siemens (China) Co., Ltd., Schaeffler Trading (Shanghai) Co., Ltd., Frequency Exploration Intelligent Technology Jiangsu Co., Ltd., Shuocheng (Xiamen) Technology Co., Ltd., Aerospace Intelligent Control (Beijing) Monitoring Technology Co., Ltd., Hangzhou Anmaisheng Intelligent Technology Co., Ltd., Zhejiang Jizhi Digital Technology Co., Ltd., Beijing Zhicewei Technology Co., Ltd., China Mobile (Shanghai) Information and Communication Technology Co., Ltd., Chongqing Mengxun Electronic Technology Co., Ltd., Central Research Institute of Shanghai Electric Group Co., Ltd., Schneider Electric (China) Co., Ltd., Hefei Institutes of Physical Science, Chinese Academy of Sciences, Jiangxi Institute of Industry and Information Technology, Beijing Ben Chi Automobile Co., Ltd., Beijing Jiao Power Technology Co., Ltd., Wuxi Vocational and Technical College, Beijing Guangli Nuclear System Engineering Co., Ltd., Dandong Huatong Measurement & Control Co., Ltd., Xi'an Yinlian Information Technology Co., Ltd., Shanghai Hangshu Intelligent Technology Co., Ltd., Beijing Bohua Xinzhi Technology Co., Ltd.
Co., Ltd., Power Department of China Academy of Engineering Physics, Wuhan Zhongyun Kangchong Technology Co., Ltd., Beijing Tianze Zhiyun Technology Co., Ltd., Tsinghua University Shanxi Clean Energy Research Institute, North China Electric Power Research Institute Co., Ltd., Delta Electronics Business Management (Shanghai) Co., Ltd.
FAW Jiefang Automobile Co., Ltd., Nanjing High-precision Gear Group Co., Ltd., Qinghai University, Zhengzhou Auto Technology Co., Ltd., Xi'an Hua Yunzhilian Information Technology Co., Ltd.
The main drafters of this document are: Wang Kai, Guo Liang, Zhu Chao, Wang Chengcheng, Wei Kunlun, Wang Jinjiang, You Heping, Zhang Feibin, Su Xinming, Xu Bin, Tang Huan, Huang Qingqing, Huang Ziping, Liu Jiansheng, Wang Yongnian, Weng Liang, Zhou Linfei, Song Peng, Meng Li, Park Yonghuan, Peng Liubao, Cai Yibiao, Zhang Baihe, Si Kai, Chen Yurong, Chen Jing, Li Zhe, Chang Guangzhong, Zhang Zuchao, Hu Wei, Tan Hongzhi, Guo Dongdong, Qiao Jingyu, Wang Jun, Shi Guilian, Yang Bingchun, Gao Hongli, Zhang Kaihuan, Qin Taichun, Meng Fanlin, Li Fang, Zhang Pengfei, Li Yiwen, Wu Zhiheng, Luo Jiufei, Wang Peng, Tian Qin, Yuan Xiaolin, Liu Honggang, Zhu Zhiping, Ning Guoyun, Zhang Xiao, An Fang, Fang Zhengfei, Yang Zhenyong, Han Fei, Zhang Dongliang, Dong Minglei, Wang Peng, Wang Jianxin, Wang Zhenglong, Li Shibin, Zhong Bolu, Ren Zhigang.
Smart Services Predictive Maintenance Technical requirements of virtual maintenance system
1 Scope
This document specifies the workflow, system framework, infrastructure requirements, data requirements, and other aspects of the virtual maintenance system in intelligent service predictive maintenance.
Requirements, modeling requirements, system function requirements, etc.
This document applies to the design, development, use and maintenance of virtual maintenance systems.
2 Normative references
GB/T 40571-2021
3 Terms and definitions
The terms and definitions defined in GB/T 40571-2021 and the following apply to this document.
3.1 virtual maintenance system
A system that implements virtual maintenance by using virtual maintenance hardware and virtual reality or augmented reality technology.
3.2 virtual maintenance
The process of performing maintenance analysis and simulation on the object model formed by maintenance modeling.
Note. It includes one or more maintenance sequence planning, maintenance path planning and maintenance process simulation, etc., which can realize maintenance plan inspection, optimization and maintenance capabilities Purpose of training.
3.3 virtual maintenance model
The three-dimensional digital model required to carry out virtual maintenance activities on the object.
Note. Includes virtual maintenance prototype model, virtual maintenance environment model, virtual operator model, safety factor model, etc.
3.4 virtual maintenance environment model
Relevant environment models required for virtual maintenance.
Note. It usually includes maintenance tool model, maintenance space model, maintenance flow information, temperature and humidity environment model, safety inspection environment model, etc.
3.5 virtual maintenance prototype
Dedicated to virtual maintenance simulation, it can support computer simulation of physical objects for maintainability engineering design and analysis.
3.6 Maintenance strategy planning
When performing virtual maintenance operations on maintenance objects, maintenance levels, maintenance resources, maintenance environment, etc. are comprehensively considered to formulate maintenance plans. Strategy.
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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 17 pages — is available in the English PDF.
Referenced standards
Normative references
Editions of GB/T 44407
| Edition | Title | Revision | Status |
|---|---|---|---|
| GB/T 44407-2024 | Intelligent service - Predictive maintenance - Requirement of virtual maintenance system | current edition | Current |
This page sells the current edition, GB/T 44407-2024. Earlier editions are listed for reference only.
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