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基于知识智能与AI推理的操作票自动生成方法研究

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

  • 摘要: 针对传统电力操作票生成中存在的二次数据对应困难、知识库构建低效、复杂票适应性差、区域差异难兼容等问题,提出一种融合知识智能与人工智能(AI)推理的智能成票方法。通过构建拓扑分析语言体系、二次设备特征知识库及全覆盖数据校核机制,结合AI文本分析与推理能力,实现了操作票的精准自动生成与优化。实验验证该方法在变电站倒闸操作场景中,成功生成符合电力规范的操作票,能有效提高成票效率,显著降低实施成本,为AI在电力系统的工程化应用和智能化操作提供新型技术路径。

     

    Abstract: 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.

     

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