Analysis And Research Of Digital Campus Of Distribution Network Fault Diagnosis Based On GIS

With the rapid development of the college building, Taiyuan University of Technology with the continuous expansion of the size, teacher-student electricity consumption growing, increasingly complex network structure, frequent changes, methods of repair and maintenance of the traditional supply lines exposed many deficiencies. Distribution network staff only rely on drawings and distribution experience to diagnose the actual situation by the field survey of a wide range of ground line, wasting a lot of manpower, financial and material resources and time, the low efficiency of fault diagnosis, but also affect the teachers and students electricity quality.How effectively combine geospatial resources and distribution network information data, achieve data sharing, improve resource utilization, made the distribution network to maintain the network and fault diagnosis information, and improve the efficiency of fault diagnosis, which is a college logistics managers facing a major problem.Backward for the measures of the school distribution system fault diagnosis, fault diagnosis of low efficiency, low resource utilization, in close connection with the characteristics of distribution network, this paper presents the GPS as data acquisition, GIS distribution network information processing and display platform, the SQL database for the memory of the entire data,which is the overall design scheme of distribution system fault diagnosis.This research project through GPS technology, based on geographic information software development platform develop the Taiyuan University of distribution network fault diagnosis system.the system is a set of geographic information technologies, database management technology, web application technology Which is a information management system,it have features of intuitive, low cost and high efficiency.This paper deeply dicusses the key technologies used in the fault diagnosis system development process, including geographic information technology, global positioning technology, NET, and on this basis, analysis the overall system architecture, workflow and study the distribution network topologymodeling and method of fault diagnosis.The system studies the Tiger area of Taiyuan University of Technology campus, based on the SuperMap GIS platform, using the browser service server mode (B/S mode), which combined with our school supply line power distribution wiring installation location, as well as the location of the Intelligent tables in the energy-saving platform of Taiyuan University of Technology, established distribution network topology model.The system ultimately realize the Tiger margin campus map browser, the graphic information of the two-way query, spatial analysis, fault location, power supply analysis, fault coverage analysis, and distribution equipment management, user management functions and so on. It offers the logistics administrator of fault diagnosis a preliminary test platform.Studies have shown that geographic information systems and real-time monitoring system to work together to achieve effective integration of GIS data and energy-saving platform for real-time monitoring of power distribution equipment data to analysis the fault easily and intuitively.It also realize intelligent table with the distribution of data management system and distribution fault diagnosis system information sharing, improve the resource utilization, realize remote indoor power distribution network analysis, real-time monitoring, rapid fault location. This has an important practical significance to improve the distribution network management quality of our school, shortening the power shutdown time and improve the efficiency of fault diagnosis.