摘要
本文在分析工业控制技术在工业革命中的作用和工业过程控制现状与存在问题的基础上,提出了工业过程控制智能化的涵义、发展方向和面临的挑战.通过基于新一代信息技术的工业过程智能控制方法和抗商用5G随机时延控制实验案例表明,将工业人工智能、工业互联网等新一代信息技术与工业控制技术紧密融合与协同为发展工业过程控制智能化开辟了新途径.最后,提出了工业过程控制智能化的主要研究方向和研究思路.
Based on the analysis of the role of industrial control technology in industrial revolutions,as well as the current situation and existing problems in industrial process control,this paper proposes the connotation,development directions,and challenges of intelligent control for industrial processes.The intelligent control methods for industrial processes driven by next-generation information technology and the successful application of anti-latency control in the commercial 5G random delay environment demonstrate that the tight conjoining and coordination between industrial arti cial intelligence,industrial Internet,and other cutting-edge information technologies with industrial control technology has opened a new pathway for the development of intelligence for industrial process control.Finally,the main research directions and approaches for intelligence for industrial process control are proposed.
作者
柴天佑
郑锐
邢方新
贾瑶
郑秀萍
Tianyou CHAI;Rui ZHENG;Fangxin XING;Yao JIA;Xiuping ZHENG(State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China;National Engineering Research Center of Metallurgy Automation,Shenyang 110819,China)
出处
《中国科学:信息科学》
北大核心
2025年第7期1555-1570,共16页
Scientia Sinica(Informationis)
基金
辽宁省重点研发计划项目(批准号:2023JH26/10200011)
辽宁辽河实验室研究项目(批准号:LLL23ZZ-05-01)
国家自然科学基金重大项目(批准号:61991404)
国家重点研发计划项目(批准号:2024YFB3309700)资助。
关键词
过程控制
智能控制
强化学习
数字孪生
自优化
process control
intelligent control
reinforcement learning
digital twin
self-optimization
