Construction of Knowledge Graph for Power Engineering and its Application in Digital Auditing

With the continuous increase in the scale and complexity of power engineering projects, the number of categories involved is growing, which intensifies the challenges in auditing. To improve audit efficiency, this paper investigates methods for constructing a knowledge graph in power engineering. It effectively integrates various data types, including construction organization, construction progress, equipment status, and legal regulations, and presents the data relationships graphically. The constructed knowledge graph is equipped with intelligent retrieval and recommendation functions, which can assist auditors in swiftly identifying and analyzing abnormal risk points in power engineering projects.