Science & Technology Review
|
2018, 36(21): 10-22
• Exclusive: Intelligent Manufacturing •
Parallel manufacturing and industries 5.0: From virtual manufacturing to intelligent manufacturing
Full
WANG Fei-Yue1,2, GAO Yanchen3, SHANG Xiuqin1,2,3, ZHANG Jun1,2
Affiliations
1. The State Key Laboratory of Management and Control for Complex Systems;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
2. Beijing Engineering Research Center of Intelligent Systems and Technology;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
3. Qingdao Academy of Intelligent Industries, Qingdao 266109, China
Published: 2018-11-13
doi: 10.3981/j.issn.1000-7857.2018.21.001
Outline
Based on virtual manufacturing, a new paradigm of intelligent manufacturing, parallel manufacturing is proposed. It integrates the concepts of cyber-physical-social system (CPSS) and industrial IoM by considering the complexity of physical, information and social systems. Based on ACP (artificial systems, computational experiments, parallel execution) method, an intelligent system of steel manufacturing is developed to realize parallel evolution, closed-loop feedback and cooperative optimization. It consists of three parts, namely, descriptive intelligence through software defined steelworks (SDS), predictive intelligence based on computational experiment and optimization, and prescriptive intelligence using parallel execution between virtuality and reality. Through the comprehensive utilization of descriptive, predictive and prescriptive intelligence, intelligent production is realized to transparentize and digitize the manufacturing system.
parallel manufacturing
/
intelligent manufacturing
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virtual manufacturing
/
artificial systems
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cyber-physical-social-systems
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knowledge automation
王飞跃, 高彦臣, 商秀芹, 张俊.
平行制造与工业5.0:从虚拟制造到智能制造.
科技导报,
2018
, 36
(21)
: 10
-22
.
DOI: 10.3981/j.issn.1000-7857.2018.21.001
WANG Fei-Yue, GAO Yanchen, SHANG Xiuqin, ZHANG Jun.
Parallel manufacturing and industries 5.0: From virtual manufacturing to intelligent manufacturing[J].
Science & Technology Review,
2018
, 36
(21)
: 10
-22
.
DOI: 10.3981/j.issn.1000-7857.2018.21.001
Year 2018 volume 36 Issue 21
PDF
1083
424
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2018.21.001
- Receive Date:2018-04-12
- Online Date:2018-11-27
- Published:2018-11-13