Research on Automatic Generation Method of Operation Tickets Based on Knowledge Intelligence and AI Reasoning

This study proposes an intelligent ticket generation method that integrates knowledge intelligence and artificial intelligence(AI) reasoning to address the problems of difficulty in secondary data correspondence, inefficient knowledge base construction, poor adaptability of complex tickets, and compatibility with regional differences in traditional power operation ticket generation. By constructing a topology analysis language system, a secondary device feature knowledge base, and a full coverage data verification mechanism, combined with AI text analysis and reasoning capabilities, precise automatic generation and optimization of operation tickets have been achieved. Experimental verification shows that this method successfully generates operation tickets that comply with power regulations in the scenario of substation switching operations, which can effectively improve ticket efficiency, significantly reduce implementation costs, and provide a new technological path for the engineering application and intelligent operation of AI in power systems.