“人-机-环境”共融的工业数字孪生系统智能优化方法  

Intelligent optimization method of"human-machine-environment"integrated industrial digital twin system

作　　者：李浩 王昊琪 李琳利 张玉彦 杨文超 文笑雨 张旭辉[2] 刘根 张幸福 刘俊 崔科飞 陈录城 王朋静 杨新宇 LI Hao;WANG Haoqi;LI Linli;ZHANG Yuyan;YANG Wenchao;WEN Xiaoyu;ZHANG Xuhui;LIU Gen;ZHANG Xingfu;LIU Jun;CUI Kefei;CHEN Lucheng;WANG Pengjing;YANG Xinyu(Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,Zhengzhou 450002,China;College of Mechanical Engineering,Xi’an University of Science and Technology,Xi’an 710699,China;Zhengzhou Hengda Intelligent Control Technology Co.,Ltd.,Zhengzhou 450016,China;CITIC Heavy Industries Co.,Ltd.,Luoyang 471003,China;COSMOPlat Industrial Intelligence Research Institute(Qingdao)Co.,Ltd.,Qingdao 266000,China)

机构地区：[1]郑州轻工业大学河南省机械装备智能制造重点实验室,河南郑州450002 [2]西安科技大学机械工程学院,陕西西安710699 [3]郑州恒达智控科技股份有限公司,河南郑州450016 [4]中信重工机械股份有限公司,河南洛阳471003 [5]卡奥斯工业智能研究院(青岛)有限公司,山东青岛266000

出　　处：《计算机集成制造系统》2024年第5期1551-1570,共20页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金面上资助项目(52175256,52275277);河南省科技攻关重点资助项目(232102221043);河南省科技研发计划联合基金资助项目(225200810029);大规模个性化定制系统与技术全国重点实验室开放课题资助项目(H&C-MPC-2023-02-02)。

摘　　要：工业数字孪生系统是智能制造应用实施的重要手段,但现有工业数字孪生系统主要面向机械系统探索研究理论和关键技术,缺乏从“人-机-环境”全局开展系统建模和优化。鉴于此,分析了“人-机-环境”系统建模和智能优化研究进展,总结了“人-机-环境”共融的工业数字孪生系统基本特征,建立了系统参考架构。然后,提出了“人-机-环境”共融的工业数字孪生系统智能优化方法与关键技术体系,主要包括数据驱动的快速动态建模与仿真方法、基于生成式人工智能(AI)的数字孪生快速建模方法、多模态感知与智能交互方法、虚实同步映射与模型校正方法、基于分布式计算的运行优化控制方法、“人-机-环境”安全监测与态势感知方法和基于AI agent的系统自学习与优化控制方法等。最后,通过典型案例展示了智能优化方法的应用效果。所提出的工业数字孪生系统智能优化方法为实现智能制造过程中的“人-机-环境”共融提供了重要支撑。The industrial digital twin system is vital for implementing intelligent manufacturing.However,current research on industrial digital twin systems focuses mainly on exploring and developing theories and key technologies related to mechanical systems,which neglects the comprehensive modeling and optimization of the entire system from a"human-machine-environment"perspective.The progress in researching"human-machine-environment"system modeling and intelligent optimization was examined,the fundamental characteristics of the industrial digital twin system integrating"human-machine-environment"were summarized,and a reference framework for such a system was established.Furthermore,the intelligent optimization methods and critical technologies for the industrial digital twin system integrating"human-machine-environment"were proposed.These methods included data-driven fast dynamic modeling based on measurement data,rapid digital twin modeling using generative AI,multi-modal perception and intelligent interaction techniques,virtual-real synchronous mapping with model correction capabilities,operation optimization control through distributed computing,security monitoring and situational awareness within"human-machine-environment",as well as AI agents-based self-learning and optimal control.Finally,the application effects of these intelligent optimization methods were demonstrated through typical cases.The proposed intelligent optimization method for industrial digital twin systems provided essential support for integrating man-machine-environment in intelligent manufacturing.

关 键 词：“人-机-环境”共融 工业数字孪生系统 智能制造 智能优化 AI agent 

分 类 号：TH166[机械工程—机械制造及自动化]