面向电工装备智慧物联的边缘计算技术研究与应用

Research and Application of Edge Computing Technology for Electrical Equipment Intelligent IOT

随着工业互联网技术的广泛应用,电网开展电工装备智慧物联平台建设,由此产生的电工装备海量异构数据交互将会对传统基于中心云的计算与存储架构带来巨大压力。为解决云中心数据处理效率不高、业务响应能力不足的问题,引入边缘计算,在厂端部署边缘代理设备,构建了基于边缘计算的电工装备智慧物联四层架构。其中,针对海量异构数据汇聚解析导致边缘节点高实时性计算资源和存储资源不足的问题,提出了基于非合作博弈的边缘节点协同采集方法;针对数据传输中的安全问题,提出了基于加密链路的数据交互安全机制;考虑到通用型算法难以直接处理专业性应用数据,采用微服务架构、业务-数据耦合关联和云边协同技术,实现了考虑业务特性的边缘数据处理模块化和轻量化;从数据汇聚、交互和处理三个层次共同形成了电工装备边缘代理技术体系。最后在某市电工装备智慧物联平台中,对智能监造、质量评价和产能分析三大业务进行实际应用,验证了引入边缘计算后平台能够实现高效数据分析和实时业务响应。

With the widespread application of industrial Internet technology,the power grid is launching the construction of Electrical Equipment Intelligent IOT.The resulting massive heterogeneous data interaction of electrical equipment will put tremendous pressure on the traditional central cloud-based computing and storage architecture.In order to solve the problem of low data processing efficiency in the cloud center and insufficient business responsiveness,the article introduces edge computing,deploys edge proxy equipment at the factory side,and builds a four-tier intelligent IoT architecture for electrical equipment based on edge computing.Among them,in order to solve the problem of insufficient high-real-time computing resources and storage resources of edge nodes due to the analysis of massive heterogeneous data aggregation,a non-cooperative game-based edge node collaborative collection method is proposed;for the security issues in data transmission,an encryption chain-based method is proposed.Road data interaction security mechanism;considering that it is difficult for general-purpose algorithms to directly process professional application data,the use of microservice architecture,business-data coupling and cloud-side collaboration technology,realizes the modularization and lightweight of edge data processing considering business characteristics;The article forms the edge agent technology system of electrical equipment from the three levels of data aggregation,interaction and processing.Finally,in a municipal electrical equipment intelligent IoT platform,the three major businesses of intelligent manufacturing supervision,quality evaluation and capacity analysis were practically applied,verifying that the platform can achieve efficient data analysis and real-time business response after the introduction of edge computing.