Research on Modeling of Power Grid Information System Based on Knowledge Graph

Abstract

The knowledge graph is a relatively general formal representation framework for semantic knowledge, with rich semantic expression and open interconnection capabilities. Aiming at the data model in the power grid field, the paper proposes a model diagnosis method based on the knowledge graph by treating the data model as an entity in the knowledge graph, combining semantic analysis technology and entity similarity calculation technology, the compliance of the data model and consistency for diagnosis. Research shows that this method can make fuller use of the data model’s relevant information and expand the thinking for traditional diagnosis methods.