Development On Visual Intelligent Management And Control Platform Of Power Transmission Equipment For ±660kV Yin Dong Line

With the State Grid "three sets of five" system construction,the equipment of power transmission and transformation maintenance and repair work mode has undergone profound changes,while the equipment operating environment is increasingly complex,all of these put forward higher requirements for the equipment management.In order to improve the practical and intelligent level of the management and control platform,and as an important tool for daily work of maintenance department and technical supervision personnel,the construction of power transmission equipment state visualization intelligent management and control platform has become an urgent requirement.This paper,based on ±660k V Yin Dong Line status of power transmission equipment’s management and maintenance,confirm by cross platform data fusion method to obtain a large number data of power grid operation,equipment status,environmental and meteorological data from PMS,condition monitoring system,meteorological information system,GIS,lightning location system,realizes the cleaning,integration,transformation and standardization of multi-source heterogeneous data,constructs a multi-source information comprehensive analysis system to realize the distributed storage,fast search and access of large data.On this basis,this paper studies the technology of power transmission and transformation equipment condition assessment,fault prediction and operation risk assessment based on the large data mining tools.Finally,by visual display platform and mobile service applications,provide a panoramic view,real-time,multi-dimensional,intelligent equipment management and control information platform for the operation and maintenance department,enables the equipment to strict monitor always,prevent the equipment operation risks,improve the speed of response to emergent events.Practical application shows that this platform realizes the cross-discipline applications of comprehensive data,eliminate the information barriers between specialty monitoring systems,makes up the deficiency of single monitoring system,such as lack of monitoring information,poor information dynamic,equipment history information accumulation and acquisition is limited,data distracting ability is weak,for the lack of monitoring information of the individual monitoring system,dynamic information of difference and equipment history information accumulation and access is limited,the data analysis ability is weak.This platform also provides a more abundant and accurate condition monitoring information and analysis information of the power grid equipment,improve the monitoring,display and management level of the equipment condition effectively.