Research and Application of Edge Computing Technology for Power Smart Internet of Things

Abstract

With the acceleration of smart distribution network construction, a large amount of distribution data has been generated. When the current edge computing technology is used to process data, it is limited by hardware resources and can not make full use of data resources, resulting in a long service time. Therefore, an effective edge computing technology is proposed for the Power Smart Internet of Things. According to the functional requirements of the electric pow intelligent Internet of things, an edge computing node architecture is established, and an information entropy suppression algorithm is applied to process original Internet of things data. To quickly process power data without the limitation of hardware resources, a side cloud collaboration mechanism is established for data interaction and collaborative computing to improve the utilization of data resources. Finally, the scheduling strategy based on the ant lion algorithm is designed to realize the cooperative autonomy of the distribution area. The application analysis results show that the maximum service time is only 17ms after the proposed technology is applied to the edge computing, taking the load distribution of the power Internet of Things as an example. The proposal of edge computing technology has promoted the development of power intelligent Internet of Things.