一种知识图谱的电力设备缺陷检索方案设计与实现

Design and Implementation of a Knowledge Graph-based Power Equipment Defect Retrieval Scheme

不断扩大的电网规模使得电力设备缺陷记录的数量不断增加,设备缺陷的准确检索是进行缺陷管理的基础和关键。对此,构建了一种基于知识图谱的电力设备缺陷检索方案,通过对现有设备缺陷记录语料的充分运用实现相应缺陷知识图谱的构建,在此基础上通过使用图搜索方法实现对设备缺陷的检索过程,算例对比结果表明相比于传统机器学习语义分析方法,检索效果更佳。

The ever-expanding scale of the power grid is driving the increasing number of power equipment defect records.Accurate retrieval of equipment defects is the foundation and key to defect management.This paper mainly constructs a knowledge device-based defect retrieval scheme for electric equipment.The full utilization of existing equipment defect record corpus is used to realize the construction of the corresponding defect knowledge graph.On this basis,the graph search method is used to achieve the retrieval of equipment defects.In the process,the comparison results of calculation examples show that the retrieval method of this paper has better retrieval effect than the traditional machine learning semantic analysis method.