4.7 Article

Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

Journal

ENGINEERING
Volume 7, Issue 9, Pages 1224-1230

Publisher

ELSEVIER
DOI: 10.1016/j.eng.2021.04.023

Keywords

Industrial artificial intelligence; Industrial Internet; Intelligent manufacturing; Process industry

Funding

  1. National Natural Science Foundation of China [61991400, 61991403, 61991404]
  2. China Institute of Engineering Consulting Research Project [2019-ZD-12]
  3. 2020 Science and Technology Major Project of Liaoning Province, China [2020JH1/10100008]

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This paper proposes a new mode of intelligent manufacturing for the process industry, which involves the deep integration of industrial artificial intelligence and the Industrial Internet. It analyzes the existing three-tier structure and decision-making processes of the process industry, describes the significance of an intelligent manufacturing framework, and envisions intelligent optimal decision-making and autonomous control systems in the future.
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 exist-ing 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. (C) 2021 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.

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