Business Process Management

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

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.

Cite this article

JI Wenlu, DENG Xing, ZHU Hongqin, ZHAO Yang, JIANG Jielin . Fault Analysis and Retrieval of Message Based on Knowledge Graph[J]. Journal of Applied Sciences, 2023 , 41(3) : 378 -390 . DOI: 10.3969/j.issn.0255-8297.2023.03.002

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