基于人-信息-物理系统(HCPS)的新一代智能制造研究

王柏村, 臧冀原, 屈贤明, 董景辰, 周艳红

中国工程科学 ›› 2018, Vol. 20 ›› Issue (4) : 29-34.

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PDF(595 KB)
中国工程科学 ›› 2018, Vol. 20 ›› Issue (4) : 29-34. DOI: 10.15302/J-SSCAE-2018.04.006
综合研究
Orginal Article

基于人-信息-物理系统(HCPS)的新一代智能制造研究

作者信息 +

Research on New-Generation Intelligent Manufacturing based on Human-Cyber-Physical Systems

Author information +
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摘要

本文从制造业面临的问题和挑战、新一代人工智能技术带来的重大机遇、新一轮工业革命的核心技术等方面论述了新一代智能制造的发展背景。通过分析智能制造的发展演进过程,指出传统制造向智能制造发展的过程是从原来的“人–物理”二元系统(HPS)向新的“人–信息–物理”三元系统(HCPS)发展的过程。HCPS揭示了智能制造发展的基本原理,是支撑新一代智能制造发展的理论基础。基于HCPS和智能制造的系统集成,从给制造业带来的革命性变化、给人类社会带来的革命性变化等方面描述了新一代智能制造的愿景。

Abstract

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.

关键词

新一代智能制造 / 新一代人工智能 / “人–信息–物理”系统(HCPS) / 系统集成 / 愿景

Keywords

new-generation intelligent manufacturing / new generation of artificial intelligence / HCPS / system integration / prospect

引用本文

导出引用
王柏村, 臧冀原, 屈贤明. 基于人-信息-物理系统(HCPS)的新一代智能制造研究. 中国工程科学. 2018, 20(4): 29-34 https://doi.org/10.15302/J-SSCAE-2018.04.006

参考文献

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Zhou J, Li P G, Zhou Y H, et al. Toward new-generation intelligent manufacturing [J]. Engineering, 2018, 4(1): 11–20.
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基金
中国工程院咨询项目“新一代人工智能引领下的智能制造研究”(2017-ZD-08-03);中国博士后科学基金项目(2018M630191)
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