
Research on New-Generation Intelligent Manufacturing based on Human-Cyber-Physical Systems
Baicun Wang, Jiyuan Zang, Xianming Qu, Jingchen Dong, Yanhong Zhou
Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (4) : 29-34.
Research on New-Generation Intelligent Manufacturing based on Human-Cyber-Physical Systems
This paper first discusses development of the new-generation intelligent manufacturing from the aspects of problems and challenges of the manufacturing industry, major opportunities brought by new-generation artificial intelligence, and core technologies of the new round of industrial revolution. By analyzing the evolution process of intelligent manufacturing, this paper points out that the process of development from traditional manufacturing to intelligent manufacturing is also a process of development from the original human-physical systems (HPS) to a human-cyber-physical systems (HCPS). HCPS reveals the basic principles of intelligent manufacturing development and is the theoretical basis for supporting the development of the new-generation intelligent manufacturing. Based on system integration of HCPS and intelligent manufacturing, the prospect of the new-generation intelligent manufacturing is described from the perspective of the revolutionary changes brought to the manufacturing sector and to human society.
new-generation intelligent manufacturing / new generation of artificial intelligence / HCPS / system integration / prospect
[1] |
Zhou J, Li P G, Zhou Y H, et al. Toward new-generation intelligent manufacturing [J]. Engineering, 2018, 4(1): 11–20.
|
[2] |
李杰, 邱伯华, 刘宗长, 等. CPS: 新一代工业智能 [M]. 上海: 上海交通大学出版社, 2017.
|
[3] |
Pan Y H. Heading toward artificial intelligence 2.0 [J]. Engineer-ing, 2016, 2(4): 409–413.
|
[4] |
习近平. 习近平谈治国理政(第一卷) [M]. 北京: 外文出版社, 2014.
|
[5] |
Li B H, Hou B C, Yu W T, et al. Applications of artificial intelli-gence in intelligent manufacturing: A review [J]. Frontiers of In-formation Technology & Electronic Engineering, 2017, 18(1):86–96.
|
[6] |
国家制造强国建设战略咨询委员会, 中国工程院战略咨询中心. 智能制造 [M]. 北京: 电子工业出版社, 2016.
|
/
〈 |
|
〉 |