Design And Implementation Of Transformer Equipment Fault Management System Based On Web

Transformer network is an important part of the power system,the main goal is to use substations for voltage conversion of different voltage levels of the power grid,which is an important facility to connect different voltage levels of the transmission network.The transformer network consists of a variety of voltage levels of substations,including a large number of transformer equipment and ancillary equipment,such as transformers,circuit breakers,switch/switch,etc.Due to the important role of transformer network,the operation reliability of transformer equipment has very high requirements in the actual management work.Therefore,the fault management of transformer transformer equipment is an important part of the operation and maintenance management of transformer network in power enterprises.In this thesis,a set of web-based fault management system of transformer equipment is designed and developed for the management department of transformer equipment of Panzhihua power supply company.The development technologies,system needing work,functional design work,functional implementation work and testing work are researched in this thesis.The system is coded by the use of.NET Web technology,and the function of the system had achieved the functional and performance target proposed by the company.The main research contents are as follows:The common schemes and basic technical principles of text mining technology are analyzed,the algorithm idea of defect semantic recognition in this system is determined,and the specific algorithm flow and technical scheme are designed and implemented.Based on the actual needs of the company's substation equipment defect management business,the detailed functional requirements of the system are studied,and the functional and non functional R & D objectives of the system are established.Based on the defect semantic recognition algorithm of the system,the detailed design and development of the software function scheme of the system are carried out.Net web technology,database technology and embedded development technology are used to realize the system functions,and the system is tested and analyzed.The system can provide information-based technical tool support for the company's transformer equipment fault management business,and comprehensively cover fault report,fault classification,elimination plan,elimination execution and eliminationresult management in the fault management business.At the same time,an automatic text recognition function of fault description is integrated in the system,which is divided into text preprocessing,text feature extraction,text mining,pattern verification and other processes.The NP neural network technology is used to improve and evaluate the algorithm based on historical data..According to the description text of transformer equipment defects,the system can automatically classify them into corresponding fault types through semantic analysis and recognition,so as to reduce the workload of manual fault recognition.The system can automatically manage the fault management of transformer equipment in Panzhihua power supply company.At the same time,the intelligent automatic recognition technology of fault text semantics can replace the traditional manual recognition method and improve the speed of fault recognition of transformer equipment.So,the system can provide necessary tool support for fault management and improve the efficiency of fault management of transformer equipment.