Research on Intelligent Fault Diagnosis of Power Acquisition Based on Knowledge Graph

With the vigorous construction of State Grid Corporation's ubiquitous power Internet of Things, the access of massive heterogeneous terminals will make the pressure of power grid acquisition and operation increase sharply. The original Fault Operation and Maintenance Knowledge Base for Electric Information Collection System(FOM-KB) based on tree structure design is bound to be unable to meet the requirements of efficient intelligent decision-making under massive operation and maintenance data. Based on knowledge graph technology, this paper establishes a knowledge question-and-answer system for fault diagnosis of Electric Information Collection System, which can realize efficient traversal search of nodes and paths, effectively improve reasoning efficiency, and support the realization of high efficiency and intellectualization of acquisition and maintenance fault diagnosis under the situation of ubiquitous power Internet of things.