摘要
基于知识图谱的电力设备海量信息分析与辅助决策具有重要的工程应用价值。为此,对知识图谱中知识抽取、知识融合、知识存储等相关理论进行分析,提出了基于子图匹配的知识图谱检索分析方法,详细阐述了子检索的基本定义、子检索划分、子检索执行、子检索结果连接等步骤,构建了电力标准检索分析模型。最后,以某电网500 kV变电站上万条电力数据作为算例,对不同检索方法下的电力大数据检索结果及特性进行分析。结果充分验证了所提检索模型的高效性和准确性。
Relying on knowledge graphs to analyze and assist decision-making on the vast information of power equipment has high value in practical engineering applications.To this end,analyze the relevant theories of knowledge extraction,knowledge fusion,and knowledge storage in the knowledge graph.A knowledge graph retrieval and analysis method based on subgraph matching was proposed,and the basic definition,division,execution,and result connection of subgraphs were elaborated in detail.A power standard retrieval and analysis model was constructed.Finally,taking tens of thousands of power data from a 500 kV substation in a certain power grid as an example,the retrieval results and characteristics of power big data under different retrieval methods were analyzed.The results fully verified the efficiency and accuracy of the retrieval model proposed in this paper.
作者
郑捷
ZHENG Jie(Inner Mongolia Xinzhengneng Industrial Service Co.,Ltd.,Hohhot 010090,China)
出处
《电气应用》
2025年第2期43-48,共6页
Electrotechnical Application
关键词
知识图谱
子检索
划分
连接
knowledge graph
subgraph retrieval
division
connect
