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Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
Engineering ( IF 10.1 ) Pub Date : 2021-07-29 , DOI: 10.1016/j.eng.2021.04.023
Tao Yang 1 , Xinlei Yi 2 , Shaowen Lu 1 , Karl H. Johansson 2 , Tianyou Chai 1
Affiliation  

Based on the analysis of the characteristics and operation status of the process industry, as well as the development of the global intelligent manufacturing industry, a new mode of intelligent manufacturing for the process industry, namely, deep integration of industrial artificial intelligence and the Industrial Internet with the process industry, is proposed. This paper analyzes the development status of the existing three-tier structure of the process industry, which consists of the enterprise resource planning, the manufacturing execution system, and the process control system, and examines the decision-making, control, and operation management adopted by process enterprises. Based on this analysis, it then describes the meaning of an intelligent manufacturing framework and presents a vision of an intelligent optimal decision-making system based on human–machine cooperation and an intelligent autonomous control system. Finally, this paper analyzes the scientific challenges and key technologies that are crucial for the successful deployment of intelligent manufacturing in the process industry.



中文翻译:

工业人工智能驱动的流程工业智能制造

基于对流程工业特点和运行现状的分析,以及全球智能制造产业的发展,提出了一种流程工业智能制造新模式,即工业人工智能与工业互联网的深度融合。与过程工业,建议。本文分析了流程工业现有的由企业资源计划、制造执行系统和过程控制系统组成的三层结构的发展现状,并考察了所采用的决策、控制和运营管理。由加工企业。基于这一分析,然后描述了智能制造框架的含义,并提出了基于人机合作的智能优化决策系统和智能自主控制系统的愿景。最后,本文分析了对智能制造在过程工业中成功部署至关重要的科学挑战和关键技术。

更新日期:2021-07-29
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