Research on Intelligent Power Automation Technology Based on Edge Computing of Power Internet of Things

Author:

Zhiyong Su,Weiping Lai,Yanghua Zhang,Yanshan Huang

Abstract

With the rapid development of modern economy and the rapid promotion of science and technology, electricity is the realistic need for further transformation of various industries in contemporary society. Because the traditional power management mode is relatively backward and the automation level of different industries is uneven, these will limit the development of intelligent power automation. Therefore, based on the edge computing of power Internet of Things, this paper studies intelligent power automation technology, which is of great value for realizing power automation and improving the management level of power equipment. In this paper, aiming at the research of intelligent power automation technology, based on the edge computing of power Internet of Things, the Internet of Things system based on RFID technology is studied. This system constructs the basic architecture of Internet of Things for smart power applications. The architecture is composed of sensing layer, network layer and application layer, which is used to realize information collection, identification and transmission, and its application in the production management of power Internet of Things. This paper analyzes the functional requirements, factors to be considered, main features and main functions of power equipment management system, gives the design ideas of power equipment management system, and designs an intelligent power equipment system based on edge computing of power Internet of Things. The research results show that RFID technology based on edge computing of power Internet of Things is feasible to realize intelligent power automation, can solve some problems in current power technology, and is of great significance to realize intelligent power automation.

Publisher

EDP Sciences

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Trading Mechanism of Virtual Power Plants Participating in the Electricity Spot Market;Proceedings of the 7th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2022);2023

2. Theater Music Data Acquisition and Genre Recognition Using Edge Computing and Deep Brief Network;Scientific Programming;2022-08-25

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