Condition Monitoring And Fault Warning Research Of Smart Power Distribution House Based On Power Internet Of Things

The power distribution room is the end link of the power grid.The level of management directly affects the power supply capacity and power quality,and it is related to the operation level and social image of the power grid enterprise.The distribution room has a wide distribution,large equipment,complex operating environment,and difficult operation and maintenance management.The internal business system adopts a chimney data structure and the data model is not uniform,which is difficult to support multi-source data fusion analysis and intelligent operation and maintenance.Therefore,there is an urgent need for comprehensive information and intelligent transformation of the distribution room.In this context,this paper first investigates and analyzes the overall requirements of intelligent transformation and management of intelligent distribution room,and classifies the equipment of distribution room.In the intelligent transformation of the distribution room,it can be divided into blocks according to the actual needs and connected to the management system to realize the customization and standardization of the intelligent transformation of the distribution room.Then it studies the standard modular intelligent gateway of distribution room,which integrates routing + switching + computing capabilities.Through the end cloud collaboration technology of the intelligent gateway and the cloud management platform of the Internet of things,the comprehensive monitoring of the power distribution room is realized,the problem of resource waste such as multiple terminals and channels in the power distribution room is solved,the on-site monitoring ability and data analysis application ability of the power distribution equipment are improved,and the multi-source data support is provided for the status monitoring and fault early warning application service of the power distribution room.Secondly,the visual panoramic monitoring system of distribution network equipment and environment state is studied.Based on the monitoring of distribution network equipment,research and develop the main station of condition monitoring and operation and maintenance management and control of distribution network equipment,integrate basic data such as production system and GIS platform,realize panoramic visual monitoring functions such as real-time monitoring of distribution network equipment,big data analysis,condition evaluation,fault diagnosis,and provide technical support for online monitoring and optimization management of distribution network equipment.Finally,an intelligent mining early warning algorithm for distribution transformer faults is proposed.The algorithm performs correlation analysis and causality analysis of transformerdata in multiple dimensions such as electrical variables,non-electrical variables,and multiple source channels to form a distribution transformer failure probability map.Model,and the intelligent mining algorithm and expert experience are combined to build a comprehensive decision model to achieve a full range of early warning of transformer operation faults.The research results of this paper can realize multi-dimensional condition monitoring and predictive maintenance of power distribution rooms,which is of great significance for reducing operation and maintenance costs,improving power supply quality,and improving customer satisfaction of power consumption.It can significantly improve the lean management level of distribution network and improve the power grid.The operating level and social image of the company.