计算机科学

计算机科学 ›› 2021, Vol. 48 ›› Issue (1): 1-10.doi: 10.11896/jsjkx.200900150

所属专题： 智能化边缘计算

• 智能化边缘计算* • 上一篇    下一篇

边缘计算助力工业互联网:架构、应用与挑战

李辉1,2, 李秀华1,2, 熊庆宇1,2, 文俊浩1,2, 程路熙1,2,3, 邢镔3   

  1. 1 信息物理社会可信服务计算教育部重点实验室(重庆大学) 重庆 401331
    2 重庆大学大数据与软件学院 重庆 401331
    3 重庆工业大数据创新中心 重庆 400000
  • 收稿日期:2020-09-21 修回日期:2020-12-02 出版日期:2021-01-15 发布日期:2021-01-15
  • 通讯作者: 程路熙(chengluxi1818@126.com)
  • 作者简介:h.li@cqu.edu.cn
  • 基金资助:
    国家自然科学基金(61902044,61672117,62072060);国家重点研发计划(2018YFB2100100,2018YFF0214700);重庆市科技计划项目基础科学与前沿技术研究专项(cstc2019jcyj-msxmX0589);重庆重点基金项目(CSTC2017jcyjBX0025,CSTC2019jscx-zdztzxX0031);中央高校基本科研业务费(2020CDJQY-A022)

Edge Computing Enabling Industrial Internet:Architecture,Applications and Challenges

LI Hui1,2, LI Xiu-hua1,2, XIONG Qing-yu1,2, WEN Jun-hao1,2, CHENG Lu-xi1,2,3, XING Bin3   

  1. 1 Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education,Chongqing 401331,China
    2 School of Big Data & Software Engineering,Chongqing University,Chongqing 401331,China
    3 Chongqing Innovation Center of Industrial Big-Data Co.Ltd,Chongqing 400000,China
  • Received:2020-09-21 Revised:2020-12-02 Online:2021-01-15 Published:2021-01-15
  • About author:LI Hui,born in 1997,postgraduate.His main research interests include Internet of things,edge computing,cloud computing and deep learning.
    CHENG Lu-xi,born in 1988,Ph.D.His main research interests include Internet of vehicles,big data,edge computing and cloud computing.
  • Supported by:
    National Natural Science Foundation of China(61902044,61672117,62072060),National Key R & D Program of China(2018YFB2100100,2018YFF0214700),Chongqing Research Program of Basic Research and Frontier Technology(cstc2019jcyj-msxmX0589),Key Research Program of Chongqing Science & Technology Commission (CSTC2017jcyjBX0025,CSTC2019jscx-zdztzxX0031) and Fundamental Research Funds for the Central Universities(2020CDJQY-A022).

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摘要： 工业互联网通过整合5G通信、人工智能等先进技术,将各类具有感知、控制能力的传感器与控制器融入工业生产过程,来优化产品生产工艺,降低成本,提高生产率。传统的云计算模式由于集中式部署的特点,计算节点通常离智能终端较远,难以满足工业领域对高实时性、低延迟的需求。边缘计算通过将计算、存储与网络等资源下沉到工业网络边缘,可以更加便捷地响应设备请求,满足工业互联网环境下智能接入、实时通信、隐私保护等关键需求,实现智能绿色通信。文中首先介绍了工业互联网的发展现状和边缘计算的相关概念,然后系统地论述了工业互联网边缘计算架构及推动工业互联网边缘计算发展的核心技术,最后总结了边缘计算在工业互联网领域的成功应用案例,并阐述了当下工业互联网边缘计算的现状与挑战。

关键词: 边缘计算, 边云协同, 工业互联网, 架构, 应用与挑战

Abstract: Industrial Internet integrates advanced technologies such as 5G communication and artificial intelligence,and integrates various sensors and controllers with perception and control capabilities into the industrial production process to optimize production processes,reduce costs and increase productivity.Due to the centralized deployment of the traditional cloud computing mo-del,the location of computing node is usually far away from the smart terminal,which is difficult to meet the requirements of the industrial field for high real-time and low latency.By sinking computing,storage and network resources to the edge of the industrial network,edge computing can respond to device requests more conveniently,meet key requirements such as intelligent access,real-time communication and privacy protection in the Industrial Internet environment,and realize intelligent green communication.This paper firstly introduces the development status of the Industrial Internet and the related concepts of edge computing,then systematically discusses the Industrial Internet edge computing architecture and the core technologies that promote the development of Industrial Internet edge computing.Finally,it lists some successful application cases of edge computing and elaborates the current status and challenges of applying edge computing technology in Industrial Internet.

Key words: Applications and challenges, Architecture, Edge computing, Edge-cloud collaboration, Industrial Internet

中图分类号: 

  • TP393
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