业务过程管理

基于知识图谱的报文故障分析与检索

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  • 1. 国网江苏省电力有限公司 南京供电分公司, 江苏 南京 210019;
    2. 南京信息工程大学 软件学院, 江苏 南京 210044

收稿日期: 2022-10-25

  网络出版日期: 2023-06-16

基金资助

国家电网有限公司科技项目基金(No. J2021167)资助

Fault Analysis and Retrieval of Message Based on Knowledge Graph

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  • 1. Nanjing Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, Jiangsu, China;
    2. School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China

Received date: 2022-10-25

  Online published: 2023-06-16

摘要

针对电网规模扩大带来的故障分析模式复杂、故障排除困难等问题,提出一种基于知识图谱的报文故障分析与检索方法。首先通过自然语言处理技术结合专家文档,完成电力调度故障知识图谱的构建。然后将专家知识以原子规则(不可分割的规则) 的形式存储于图谱中,实现智能化故障分析、检索及辅助维护人员决策等目标,从而提高业务过程效率。最后结合知识图谱与日志信息,利用神经网络分析故障成因,从多个潜在解中获取最优解。实验结果表明: 在真实数据和合成数据上,该方法能获得很好的故障分析与检索效果。

本文引用格式

嵇文路, 邓星, 朱红勤, 赵杨, 江结林 . 基于知识图谱的报文故障分析与检索[J]. 应用科学学报, 2023 , 41(3) : 378 -390 . DOI: 10.3969/j.issn.0255-8297.2023.03.002

Abstract

Aiming at the problems of complex fault analysis mode and increasing difficulty of fault removal caused by the expansion of the power grid, a fault analysis and retrieval of message based on knowledge graph is proposed. Firstly, the construction of power dispatching fault knowledge graph is completed by combining natural language processing technology with expert documents. Then the expert knowledge is stored in the graph in the form of atomic rules (indivisible rules) to achieve intelligent fault analysis and retrieval and assist maintenance personnel in decision-making, thereby improving the efficiency of business process. Finally, combined with the knowledge graph and log information, artificial intelligence is used to analyze the cause of failure, and the optimal solution is obtained from multiple potential solutions. Experimental results on both real and synthetic data sets show that the proposed method can achieve good results on fault analysis and retrieval in power dispatching.

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