工业边缘计算研究现状与展望

Industrial Edge Computing:Vision and Challenges

随着工业互联网技术的发展,工业设备生成的数据量以指数形式增长,给云计算带来了巨大的数据压力.边缘计算由于低时延、低流量、强隐私性等特点在工业领域中有了越来越多的应用研究.本文针对近几年的工业云计算和边缘计算技术进行了综述.首先介绍了工业互联网背景下云计算和边缘计算的发展历史,分析了边缘计算的定义和边缘计算的几种计算典型形式与工业边缘计算系统的关系.其次分析了工业边缘计算的几种典型应用,针对当前的研究现状,讨论了工业场景中影响边缘计算应用的几种关键技术,并对工业场景下的研究挑战做了总结与展望.

With the development of industrial Internet technology,the data volume of industrial equipment has increased exponentially,which has brought a huge data pressure to cloud computing.There is more and more applications and researches of edge computing in the industrial field due to the characteristics of low latency,low traffic,and good privacy.We review the research on cloud computing and edge computing in industrial applications in recent years.We firstly introduce the development history of cloud computing and edge computing in the context of the industrial Internet,and analyze the definition of edge computing and the relationships between several typical forms of edge computing and industrial edge computing system.Secondly,several typical applications of industrial edge computing are analyzed.In view of the current research status,several key technologies affecting edge computing applications in industrial scenarios are discussed.Finally,the research challenges in the industrial scene are summarized and prospected.