Computer Integrated Manufacturing System ›› 2025, Vol. 31 ›› Issue (10): 3567-3581.DOI: 10.13196/j.cims.2024.S09

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Industrial 5.0 computing power network driven by “Eastern Data and Western Computing”:Innovative architecture and collaborative applications

LI Chuanjiang1,2,LI Shaobo1,FENG Yixiong1,3,CAO Liming1,JIANG Pei4,XIE Wenhui1,HU Bingtao1,3   

  1. 1.State Key Laboratory of Public Big Data,Guizhou University
    2.State Key Laboratory of Fluid Power and Mechatronic Systems
    3.School of Mechanical Engineering,Zhejiang University
    4.School of Mechanical Engineering,Chongqing University
  • Online:2025-10-31 Published:2025-10-31
  • Supported by:
    Project supported by the National Key R&D Program,China(No.2023YFB3308802),the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems,China(No.GZKF-202403),and the Basic Research Program of Guizhou Province(Natural Science) Youth and General Projects,China(No.QKH[2024]Youth160,QKH MS〔2025〕601).

“东数西算”驱动的工业5.0算力网络:创新架构与协同应用

李传江1,2,李少波1,冯毅雄1,3,曹黎明1,江沛4,谢文辉1,胡炳涛1,3   

  1. 1.贵州大学省部共建公共大数据国家重点实验室
    2.流体动力基础件与机电系统全国重点实验室
    3.浙江大学机械工程学院
    4.重庆大学机械工程学院
  • 作者简介:
    李传江(1995-),男,山西临汾人,博士,研究方向:工业大数据、智能制造、低空装备智能运维,E-mail:licj@gzu.edu.cn;

    李少波(1973-),男,湖南岳阳人,教授,博士,研究方向:公共大数据融合与集成、智能制造信息系统,E-mail:lishaobo@gzu.edu.cn;

    冯毅雄(1975-),男,浙江东阳人,教授,博士,研究方向:产品数字化设计、数字孪生,E-mail:fyxtv@zju.edu.cn;

    曹黎明(2001-),男,安徽滁州人,硕士研究生,研究方向:算力网络调度、边缘计算;E-mail:2846843600@qq.com;

    江沛(1985-),男,重庆人,副教授,博士,研究方向:机器人技术、绿色制造、智能制造,E-mail:peijiang@cqu.edu.cn;

    谢文辉(2001-),男,江西抚州人,硕士研究生,研究方向:工业大数据、智能算法,E-mail:gs.whxie24@gzu.edu.cn;

    胡炳涛(1992-),男,山东烟台人,副研究员,博士后,研究方向:智能制造、产品设计理论,E-mail:hubingtao@zju.edu.cn。
  • 基金资助:
    国家重点研发计划资助项目(2023YFB3308802);流体动力基础件与机电系统全国重点实验室开放基金资助项目(GZKF-202403);贵州省基础研究计划(自然科学)青年及面上项目(黔科合基础-[2024]青年160,黔科合基础MS〔2025〕601))。

Abstract: Driven by the dual forces of the national “Eastern Data and Western Computing” strategy and the paradigm shift of Industry 5.0,computing power is being transformed into a core production factor in industrial digital transformation.Aiming at key challenges in complex Industrial 5.0 application scenarios,such as low-latency requirements,service reliability and cross-domain resource coordination,the innovative industrial computing power network architecture was proposed.The computing power resource allocation mechanism of the “Eastern Data and Western Computing” project and the core elements of Industry 5.0 were systematically explained.On this Basis,a novel three-tier “cloud-edge-device” collaborative computing power network architecture for Industry 5.0 was constructed,and the key enabling technologies and application areas for realizing this architecture were thoroughly analyzed.Finally,the challenges facing the development of industrial computing power networks were discussed,and the future trends and directions were outlined.

Key words: Eastern Data and Western Computing, Industry 5.0, industrial computing power network, computing power resource scheduling

摘要: 在“东数西算”国家战略纵深推进与工业5.0范式变革的双重驱动下,算力资源正演变为工业数字化转型的核心生产要素。针对工业5.0复杂应用场景中的低时延需求、服务可靠性与跨域资源协同等关键挑战,提出工业算力网络创新架构。首先,系统阐释“东数西算”工程的算力资源配置和工业5.0的核心要素;在此基础上,创新构建面向工业5.0的“云-边-端”三级协同算力网络架构,并深入分析实现这一架构的关键使能技术及应用领域;最后,讨论了工业算力网络发展面临的挑战,并对其未来发展趋势和方向进行了展望。

关键词: 东数西算, 工业5.0, 工业算力网络, 算力调度

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