Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing
Author(s) -
Ji Zhou,
Yanhong Zhou,
Baicun Wang,
Jiyuan Zang
Publication year - 2019
Publication title -
engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.376
H-Index - 45
eISSN - 2096-0026
pISSN - 2095-8099
DOI - 10.1016/j.eng.2019.07.015
Subject(s) - manufacturing engineering , cyber physical system , process development execution system , digital manufacturing , context (archaeology) , intelligent decision support system , computer integrated manufacturing , construct (python library) , engineering , frame (networking) , systems engineering , key (lock) , computer science , artificial intelligence , mechanical engineering , computer security , paleontology , programming language , biology , operating system
An intelligent manufacturing system is a composite intelligent system comprising humans, cyber systems, and physical systems with the aim of achieving specific manufacturing goals at an optimized level. This kind of intelligent system is called a human–cyber–physical system (HCPS). In terms of technology, HCPSs can both reveal technological principles and form the technological architecture for intelligent manufacturing. It can be concluded that the essence of intelligent manufacturing is to design, construct, and apply HCPSs in various cases and at different levels. With advances in information technology, intelligent manufacturing has passed through the stages of digital manufacturing and digital-networked manufacturing, and is evolving toward new-generation intelligent manufacturing (NGIM). NGIM is characterized by the in-depth integration of new-generation artificial intelligence (AI) technology (i.e., enabling technology) with advanced manufacturing technology (i.e., root technology); it is the core driving force of the new industrial revolution. In this study, the evolutionary footprint of intelligent manufacturing is reviewed from the perspective of HCPSs, and the implications, characteristics, technical frame, and key technologies of HCPSs for NGIM are then discussed in depth. Finally, an outlook of the major challenges of HCPSs for NGIM is proposed.
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