Research On Intelligent Distribution Monitoring System Based On Internet Of Things

With the increasingly close relationship between social life,production and electricity,various types of power users have put forward higher requirements for the quality of power supply and distribution.As the link between the power system and the power users,the power distribution system is an important part of the modern power distribution system.At present,the distribution network structure has become more and more large,which makes it difficult to construct and maintain the frequently changing distribution network structure by traditional manual operation.This paper proposes an automatic construction of distribution network topology for the problem of power distribution network topology construction.And visual editing techniques.At the same time,this paper adopts and optimizes the Mosquitto server cluster technology and Influx DB sequential storage technology solution for the large-scale power distribution monitoring system connected to the massive data terminal to bring the message transmission pressure overload and massive data storage performance problems.Finally,this paper designs and implements an intelligent distribution monitoring system based on the Internet of Things.Based on the construction of power distribution monitoring automation and power distribution topology network,this paper proposes the overall design framework of intelligent power distribution monitoring system.The system consists of a power distribution site monitoring station and a power distribution management platform.The power distribution site monitoring station is responsible for collecting power distribution operation data and connecting with the power distribution management platform through the Internet of Things technology.The power distribution management platform is responsible for collecting and analyzing the power distribution network operation data.And perform topology maintenance and condition monitoring on the distribution network through network topology automatic construction and visual editing technology.The main research results of this paper are as follows:Firstly,aiming at the complex topology and difficult maintenance of the actual distribution network,this paper proposes an automatic topology construction and visual editing scheme for the distribution network.When the transmission terminal of the power distribution site monitoring station is connected/connected,the system can independently maintain the topology of the power distribution network,and combine with the visualization technology to provide the system administrator with the ability to overview the topology of the power distribution network,and the actual power distribution.Information such as equipment and line running status in the network is provided to the system administrator in the form of graphical images,so that the system administrator can directly coordinate and analyze the operating status of the power distribution system on the power distribution topology network.Secondly,for the problem of Io T message transmission pressure brought by the massive data terminal of the distribution monitoring system,the MQTT message transmission technology based on Mosquitto message server is adopted,and the single point performance tuning of Mosquitto is carried out by Epoll method;based on HAProxy load balancer The Mosquitto message server cluster with load balancing realizes the message transmission capability of connecting hundreds of thousands of devices.Thirdly,for the problem of massive time series data storage and query difficulty in Io T applications,the massive data storage and query performance in the distribution monitoring system is optimized based on the Influx DB time series data storage technology;the time series data fusion and data are formulated according to the characteristics of the system time series data.The transfer method has alleviated the problem of massive data accumulation in Io T applications.Finally,the system uses Spring Cloud microservice technology to build a system service with independent modules and scalability.