Application of Power Internet of Things Technology in Fault Diagnosis Platform for Synchronous Condenser

Abstract

The Synchronous condenser remote diagnosis platform is built under the background of the power Internet of Things technology, with the power grid as the hub, and through data warehouse and data replication technologies to build a data center, achieving the sharing and exchange of information data throughout the company. We apply advanced big data technology to mine operating data and build a reliable, secure, and linearly scalable big data system. With the help of data transformation, outliers can be handled, standardization, generalization, and data aggregation, the inference of fault diagnosis knowledge base will been carried out. Utilizing data warehouse and data mining technology to analyze various indicators in the operation, maintenance and management of the synchronous condenser, we could establish a safety warning evaluation system based on massive data, and combine system operation status estimation technology to ensure the health of the synchronous condenser, achieving precise prediction and coordinated control. Finally, a comparative analysis was conducted between the new system and the traditional status monitoring system, and the superiority of the new system is given.