Integration of Knowledge Graph and Power Grid Knowledge for Equipment Data Compliance Discrimination in Low-Voltage Distribution Area

Le résumé fourni par la source

This paper proposes a compliance discrimination method for low-voltage distribution network equipment that integrates knowledge graph and power grid knowledge, improving the efficiency of data governance for low-voltage distribution network equipment and providing assurance for data governance and data quality improvement of equipment. This method first collects multi-source data from the low-pressure distribution area, and then processes the data through text processing, neural network and other methods to form a standardized graph database. Then Neo4j is used to construct the knowledge graph. On this basis, according to the various rules existing in the low-voltage distribution area, the conformance check of the equipment's own attributes and the upstream and downstream relationships is carried out, so as to identify the non-compliance data in the knowledge graph.

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