人工自愈概论

doi:10.3901/JME.2021.02.001

摘要/Abstract

摘要： 论述了仿生机械学研究的新领域——人工自愈原理：借鉴中华传统医学“自主调理是治疗学的第一原理”，将人和动物的自愈机制赋予机器，使机器储存、补充和调动自愈力以维持机体健康状态。人工自愈技术包含自修复、代偿、自防护和自愈调控技术。人工智能模仿人脑的意识思维控制行为实现自动化，可使机器更聪明；人工自愈可模仿人体无意识思维的自愈机制，在运行中防止和抑制故障实现自愈化。论述了工程自愈论是控制论研究领域的一个新的分支学科，拓展了控制论和工程控制论研究领域。提出人工自愈和人工智能赛博-物理系统CPS三体模型。人工自愈会让机器装备更健康，从故障快准溯源诊断到精稳自愈调控，是机器乃至人造物系统自主健康基础，应用前景广阔。

关键词: 仿生人工自愈, 人工智能, 工程自愈论, 自愈调控, 自主健康

Abstract: The new field of bionic mechanics research, artificial self-recovery principle is discussed. Artificial self-recovery refers to the Chinese traditional medicine "self-conditioning is the first principle of therapeutics",and the self-recovery mechanism of human and animal is given to the machine to make the machine store, supplement and mobilize the self-recovery force to maintain health. Artificial self-recovery technology includes self-repairing, compensatory, self-protection and self-recovery regulation technology. The artificial intelligence imitates the human brain's consciousness thought to control behavior, realizes the automation and makes machines smarter; Artificial self-recovery can imitate the self-recovery mechanism of human body's unconscious thinking, and realize self-recovery by preventing and restraining faults in operation. It is discussed that the theory of engineering self-recovery is a branch of cybernetics research field, expanding the research field of cybernetics and engineering cybernetics. Three body model of artificial self-recovery and artificial intelligence cyber physics system is proposed. Artificial self-recovery will make machines healthier,from fault fast and exact diagnosis to accurate and stable self-recovery regulation and control, and is the autonomous healthy foundation of machine and even artificial creation system, which has broad application prospect.

Key words: bionic artificial self-recovery, artificial intelligence, engineering self-recovery theory, self-recovery regulation, autonomous health

中图分类号:

高金吉. 人工自愈概论[J]. 机械工程学报, 2021, 57(2): 1-10.

GAO Jinji. Overview on Artificial Self-recovery[J]. Journal of Mechanical Engineering, 2021, 57(2): 1-10.

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