Automated Construction of Knowledge Graphs: Advancing Intelligence in Electrical Power Systems through Fault Diagnosis, Optimization, and Decision Support

The introduction of knowledge graphs (KGs) in the electric power system aims to leverage the extensive data generated by the electric power Internet of Things (IoT). By structuring concepts, entities, events, and their interrelationships, KGs enhance the organization, management, and cognitive processing of cross-media big data within the electrical power industry. This paper presents an innovative approach to automatically constructing knowledge graphs. Furthermore, it delves into detailed applications of KGs in power equipment inspection and explores their potential directions and challenges in future implementations within the sector.