Abstract:This article proposes a systematic solution based on knowledge graph technology to solve the problems of traditional equipment defect management methods in thermal power enterprises, such as low processing efficiency, poor accuracy, and ineffective utilization of historical experience and data. By building a device lifecycle management system based on knowledge graph, it is possible to effectively achieve equipment maintenance Decision assistance. in the closed-loop management of equipment defects. Through the automatic analysis of equipment maintenance history and defect records, optimized maintenance strategies can be provided for operation and maintenance personnel. This article first briefly introduces the overall technical scheme and background, then describes the overall design and architecture of the system, followed by a detailed explanation of the overall implementation of the system. Finally, it summarizes the work in this article and discusses the existing problems and future optimization directions. It is hoped that this article can provide some reference for domestic thermal power enterprises to build similar systems.