工业4.0
大数据
云计算
物联网
信息物理系统
智能制造
计算机科学
工业互联网
人工智能
云制造
制造业
控制(管理)
制造工程
智能控制
工业工程
工程类
计算机安全
数据挖掘
业务
操作系统
营销
作者
Xifan Yao,Jiajun Zhou,Jiangming Zhang,Claudio R. Boër
摘要
Smart manufacturing (SM) is emerging as a new version of intelligent manufacturing (IM), reflecting the magnitude and impact of smart technologies such the Internet of Things, Cloud Computing, Cyber-Physical Systems and Big Data on Industry 4.0. This paper addresses how IM evolves to SM along with artificial intelligence (AI) evolution. To this end, this study first summarizes how the symbolic AI (called AI 1.0) characterized by structured contents and centralized control structures evolves into the next-generation AI (called AI 2.0) characterized by unstructured contents, decentralized control structures and machine learning (especially deep learning), and explain show IM enabled by AI 1.0 evolves into SM by AI 2.0 accordingly. Then, the comparison of IM and SM is discussed in detail. Finally, the further development of smart manufacturing for Industry 4.0 is given.
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