随着物联网(Internet of Things,IoT)和5G的发展,智能电网对低延迟、高可靠的数据通信需求不断增加.文章探讨了智能边缘计算在智能电网通信中的应用与部署,涵盖智能电表数据采集和电力设备监控与维护等场景.通过优化智能边缘计算节点的选址、硬件配置和网络架构设计,实现数据本地化处理和实时上传,减少数据传输延迟和网络负载.此外,文章从计算资源分配优化、任务调度与资源分配优化、数据传输优化等 3 方面提出了性能优化方法.通过实验验证,文章提出的智能边缘计算在智能电网中的应用部署与性能优化方法提升了数据处理效率和系统可靠性,展现出重要的应用价值.
Application Deployment and Performance Optimization of Intelligent Edge Computing in Smart Grids Communication
With the development of the Internet of Things(IoT)and 5G,the demand for low latency and high reliability data communication in smart grids is constantly increasing.This paper discusses the application and deployment of intelligent edge computing in smart grids communication,including smart meter data acquisition,power equipment monitoring and maintenance and other scenarios.By optimizing the location selection,hardware configuration and network architecture design of intelligent edge computing nodes,data localization and real-time upload are realized,and data transmission delay and network load are reduced.In addition,the article proposes performance optimization methods from three aspects:optimization of computing resource allocation,optimization of task scheduling and resource allocation,and optimization of data transmission.Through experimental verification,the application deployment and performance optimization method of intelligent edge computing in smart grids proposed in this paper improves data processing efficiency and system reliability,and shows important application value.
万方数据
维普
