摘要
随着物联网的快速发展,传统的以云计算为中心的数据处理方式显现出诸多问题,如带宽占用大、高时延等。而边缘计算以低时延、高可靠的数据处理方式成为云计算的有利补充。主要对面向云边协同的KubeEdge边缘计算系统及其应用展开全面的讨论与分析。首先对KubeEdge边缘计算系统的架构、功能、关键技术进行了详细的介绍;其次将KubeEdge边缘计算系统应用于双臂协作机器人零部件装配的场景,对面向机器人装配场景的KubeEdge云边协同系统的功能和性能进行了全面、系统的分析与测试。测试结果显示,基于云边协同的KubeEdge边缘计算系统可以较好地满足机器人零部件装配场景的功能和应用需求,为KubeEdge边缘计算系统的实际应用提供了基础参考。
With the increasing development of Internet of things,traditional data processing methods based on cloud computing have shown many problems,such as high bandwidth occupation and time delay.Edge computing can be a supplement for cloud computing with the characteristics of low latency and high reliability to process data.The Ku-beEdge edge computing system and its application were mainly discussed and analyzed.Firstly,the system architecture,functions,and key technologies of KubeEdge were introduced.Secondly,the KubeEdge was applied to the parts assem-bly scenario with dual-arm cooperative robot,and the functions and performances of a cloud-edge collaboration system based on KubeEdge for the robot assembly application were analyzed and tested.The experimental results show that the system can satisfy the functional and application requirements of the scenario,which also provides basic reference and guidance for practical applications of KubeEdge.
作者
赵航
刘胜
罗坤
陈世超
孔令辉
贾凡
ZHAO Hang;LIU Sheng;LUO Kun;CHEN Shichao;KONG Linghui;JIA Fan(The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;National Laboratory of Pattern Recognition Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;School of Engineering,University of Melbourne,Melbourne 3051,Australia)
出处
《智能科学与技术学报》
2022年第1期118-128,共11页
Chinese Journal of Intelligent Science and Technology
基金
国家重点研发计划基金资助项目(No.2018YFB1700602)
国家自然科学基金资助项目(No.61773381,No.61773382,No.61872365)
北京市自然科学基金资助项目(No.4182065)。