摘要
电网生产管理系统中存在大量电力设备缺陷记录,其准确检索对于缺陷管理有着重要的指导作用。基于知识图谱技术,探索了电力设备缺陷记录检索方法。首先提出了利用现有电力设备缺陷记录语料构建电力设备缺陷知识图谱的方法;然后基于所构建的知识图谱,提出了利用图搜索进行电力设备缺陷检索的方法;最后通过算例对比了上述缺陷记录检索方法和传统机器学习语义分析方法的检索效果。算例表明,基于知识图谱的电力设备缺陷记录检索方法能提升缺陷记录检索的效果。
Currently large amounts of defect records of power equipment are left in the power grid management system,which can benefit the defect management if retrieved accurately.A retrieval method for defect records of power equipment is developed based on knowledge graph technology.Firstly,a method for constructing the knowledge graph of power equipment defect with existing records is presented.Then,based on the constructed knowledge graph,a retrieval method for power equipment defect using graph search is proposed.Finally,the proposed retrieval method is compared with traditional sematic analysis methods based on machine learning.The results show that the proposed retrieval method based on knowledge graph technology can significantly improve the retrieval effect of power equipment defect records.
作者
刘梓权
王慧芳
LIU Ziquan;WANG Huifang(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2018年第14期158-164,共7页
Automation of Electric Power Systems
关键词
电力设备
缺陷记录
知识图谱
检索方法
机器学习
power equipment
defect record
knowledge graph
retrieval method
machine learning
