• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (14): 117-129.doi: 10.3901/JME.2025.14.117

• 仪器科学与技术 • 上一篇    

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人工自愈开辟智能流程制造向安健发展新途径

高金吉1,2,3   

  1. 1. 北京化工大学高端压缩机及系统技术全国重点实验室 北京 100029;
    2. 北京化工大学高端机械装备健康监控与自愈化北京市重点实验室 北京 100029;
    3. 北京化工大学发动机健康监控及网络化教育部重点实验室 北京 100029
  • 收稿日期:2024-06-13 修回日期:2025-04-25 发布日期:2025-08-25
  • 作者简介:高金吉,男,1942年出生,教授,博士研究生导师,中国工程院院士。主要研究方向为设备故障诊断与自愈工程。E-mail:gaojinji@263.net

Artificial Self-recovery Opens New Way for Intelligent Process Manufacturing to Develop Safely and Healthily

GAO Jinji1,2,3   

  1. 1. National Key Laboratory of High-end Compressor and System Technology, Beijing University of Chemical Technology, Beijing 100029;
    2. Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029;
    3. Key Laboratory of Engine Health Monitoring-Control and Networking, Ministry of Education, Beijing University of Chemical Technology, Beijing 100029
  • Received:2024-06-13 Revised:2025-04-25 Published:2025-08-25

摘要: 20世纪80年代,智能制造研究起步,首次提出利用智能机器或机器智能在没有人工干预的情况下制造产品,可见智能制造的内涵和初衷就是人工智能加自动化。近年来,世界各国将智能制造向设计、生产、管理、服务等制造活动各个环节的广度拓展,从而提高制造业质量、效益和核心竞争力,这一方式在离散制造业应用成效显著。人工智能由弱到强发展使未来的机器越来越聪明,但如果机器仅聪明却不健康,面对航空航天和高危流程制造安全可靠和长周期稳定运行的重大需求,当今提倡的智能制造方式却难以适应。为此,还应向智能制造的核心科技深度发展,特别要和生产力的关键要素装备深度融合,实现制造装备系统安全可靠设计制造,并确保其自主健康运行。论述了当代新科技变革的必然趋势,从人工智能到人工自愈,从自动化到自愈化,工程自愈论拓展控制论与工程控制论的研究领域,将引领智能制造向智能安健制造发展。第一次工业革命开创了以机器代替手工劳动的自动化时代,人工自愈助力装备自主健康逐步代替人工运维,开辟流程智能制造安健发展新途径,赋能新一轮科技革命,开辟自愈化时代。

关键词: 人工自愈, 人工智能, 智能制造, 辅助康复, 自主健康, 安健流程制造

Abstract: In the 1980s, Intelligent Manufacturing research started, and it was first proposed to use intelligent machines or machine intelligence to manufacture products without manual intervention, so the connotation and original intention of intelligent manufacturing is atificial intelligence plus automation. In recent years, countries around the world have expanded the breadth of intelligent manufacturing to design, production, management, service and other manufacturing activities, so as to improve the quality, efficiency and core competitiveness of the manufacturing industry, and the application of this method in discrete manufacturing industry is remarkable. The development of artificial intelligence from weakness to strength makes the future machine more and more intelligent, if the machine is merely intelligent but not healthy, in the face of the major needs of aerospace and high-risk process manufacturing safe and reliable and long-term stable operation, the intelligent manufacturing method advocated today is difficult to adapt. To this end, the core technology of Intelligent Manufacturing should also be deeply developed, especially the deep integration with equipment of the key elements of productivity, to achieve the safe and reliable design and manufacturing for manufacturing equipment systems, and to ensure its autonomous healthy operation. From artificial intelligence to artificial self-recovery, from automation to self-recovery, engineering self-recovery theory expands the research field of cybernetics and engineering cybernetics, and will lead the development of intelligent manufacturing to smart, safe and healthy manufacturing. The first industrial revolution created an era of automation in which machines replaced manual labor, artificial self-recovery helped equipment autonomous health gradually replace human labor operation and maintenance, opened up a new way of process intelligent manufacturing safety and health development, enabled a new round of scientific and technological revolution, and opened up an era of self-recovery.

Key words: artificial self-recovery, artificial intelligence, intelligent manufacturing, assisted rehabilitation, autonomous health, safe and healthy process manufacturing

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