工业互联网智能调度建模与方法研究综述  

Overview on intelligent scheduling models and methods for industrial Internet-of-things

作　　者：赖李媛君[1] 张霖[1] 任磊[1] 王凌[2] LAI Liyuanjun;ZHANG Lin;REN Lei;WANG Ling(School of Automatic Science and Electrical Engineering,Beihang University,Beijing 100191,China;Department of Automation,Tsinghua University,Beijing 100084,China)

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191 [2]清华大学自动化系,北京100084

出　　处：《计算机集成制造系统》2022年第7期1966-1980,共15页Computer Integrated Manufacturing Systems

基　　金：国家重点研发计划资助项目(2020AAA0109202);国家自然科学基金面上资助项目(62173017)。

摘　　要：工业互联网的建设关键在于云端和边缘端资源协同互补地对工业现场进行全面感知与连接。复杂制造过程的运行效率依赖于云端—边缘端—工业终端的多主体资源的联动控制,云边协同的计算任务与工业现场的制造任务的调度问题,成为决定工业互联网能否高效运行的核心。为此,梳理了近年工业互联网不同场景下计算任务与制造任务调度问题建模与优化方法研究现状,阐述了不同智能调度方法面临的挑战,探讨了未来工业互联网智能调度技术的发展需求和技术途径,为工业互联网环境下的离散制造过程增效提供新的思路。The key of industrial Internet-of-Things(IoT)are the cloud-edge collaboration for full connection of industrial devices and full perception of industrial fields.The complex manufacturing processes are coupled with coordinated control of cloud resources,edge resources and industrial devices.The scheduling of computational tasks and manufacturing tasks becomes the key to determine the efficiency of the whole Industrial Internet-of-Things platform.Therefore,the studies on the scheduling of different tasks were reviewed in the environment of Industrial IoT in recent five years.Six kinds of modeling methods and Six kinds of scheduling algorithms for seven basic scheduling problems for Industrial Internet-of-Things were summarized.The main focuses of these studies,the key challenges,and possible solutions for the development of Industrial Internet-of-Things in intelligent manufacturing were discussed.

关 键 词：智能调度 工业互联网 云边协同 建模方法 调度算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]