基于边缘计算的智能用电管控系统设计及应用

随着智能电网的发展,在电力管控领域物联网设备正在广泛普及.物联网设备种类、特性、功能的多样性不仅融汇了详细的大数据,还对系统管控的实时性、兼容性、大数据处理能力均提出挑战.因此,文中研究一种电力物联网系统中嵌入边缘计算技术,对海量智能用电数据进行就近处理,避免大量数据传输导致通信通道的堵塞,满足电力物联网对快速响应、精准执行的特殊要求.文中阐述了所提出的数据库、边缘计算服务器和数据处理的流程和所达到的优化设计,为物联网智能终端设备的异构性问题提出了解决方案,增强兼容性和边缘数据实时处理能力.实践证明所提出的技术能提供安全、快捷控制方式的同时,也使得系统具备更强的用电信息大数据采集能力.

Design and implementation of IoT system for energy management and control based on edge computing

With the development of smart grid, IoT devices in the field of power control are widely used. The diversity of types, features and functions of IoT devices not only integrates detailed big data, but also challenges the real-time, compatibility and big data processing capability of system control. Therefore, this paper studies an embedded edge computing technology in the IoT system which performs nearby processing of massive intelligent electricity data to avoid the bottleneck of communication channel caused by massive data transmission, and meet the special requirements of energy management and control for quick response and accurate execution. This paper describes the proposed process of database, edge computing server and data processing, and puts forward a solution to the heterogeneity problem of IoT devices, so as to enhance the compatibility and real-time processing capability of edge data. The practice has proved that the proposed technology can not only provide a safe and fast control method, but also enable the system to have stronger power information big data acquisition ability.