Substation operation ticket system based on natural language analysis and intelligent reasoning

Abstract

[Background/Reason] The operation ticket system is an important measure to ensure the safety of substation operation. At present, the issuance and review of substation operation tickets rely on manual operation knowledge and experience, and there are problems such as low work efficiency, lack of standardization, and human error. The risk of grid operation is reduced. [Method/Process] This paper proposes a substation operation ticket system based on natural language analysis and intelligent reasoning. It uses typical/standard operation tickets as the basic corpus and builds a natural language analysis model based on manual labeling to achieve compliance with the operation tickets. Sexual inspection, deduction and comparison of equipment status. Finally, combining the primary wiring diagram of the substation and the operation ticket to construct the equipment relationship knowledge map and the equipment operation knowledge map, use the Neo4j graph database for storage, and realize the intelligent drafting of operation tickets based on the graph search method. [Results/Conclusions] The research results have been implemented and applied in three substations in a certain area, verifying that the system has a high degree of intelligence and versatility, and can effectively solve the existing problems of standard invoicing and audit errors, and improve operation The work efficiency of personnel and the safety control level of power grid substation operation.