摘要
电力行业的安全规程包含海量条款,且更新频繁,人工学习成本高,现场人员在执行作业时常面临相关条款理解困难、查询效率低及规程合规性判断不准确等问题。为提升电力安全管理的智能化水平,文章提出一种融合BERT与知识图谱的电力安全规程智能问答与合规性审查系统。该系统通过深度语义理解模型结合结构化安全知识,实现规程内容的快速查询、智能问答及作业票合规性审查。实验结果表明,该系统在问答准确率、规程匹配能力及违规检测召回率方面均有显著提升,为电力行业智能化安全管控提供了可行的技术解决方案。
The safety regulations in the power industry contain a large number of clauses and are updated frequently.The cost of manual learning is high,and on-site personnel often face difficulties in understanding related regulations,low query efficiency,and inaccurate compliance judgments when performing operations.To enhance the intelligence level of power safety management,this paper proposes an intelligent Q&A and compliance review system for power safety regulations that integrates BERT and knowledge graph.The system utilizes a deep semantic understanding model combined with structured security knowledge to achieve rapid querying of regulatory content,intelligent Q&A,and compliance review of work permits.The experimental results show that the system has significantly improved in terms of question answering accuracy,protocol matching ability,and violation detection recall rate,providing a feasible solution for intelligent security control in the power industry.
作者
孙建军
SUN Jianjun(Nantong Power Supply Branch of State Grid Jiangsu Electric Power Company,Nantong,Jiangsu 226300,China)
关键词
BERT
知识图谱
电力安全规程
智能问答
合规性审查
BERT
knowledge graph
electricity safety regulations
intelligent Q&A
compliance review