电力信息与通信技术2026，Vol.24Issue(5)：49-56,8.DOI:10.16543/j.2095-641x.electric.power.ict.2026.05.06
面向电力变压器规程的知识图谱构建方法研究
Research on the Construction Method of Knowledge Graph for Power Transformer Regulations
祝龙 1金花 1王璁 2贾玉轩1
作者信息
- 1. 华北电力大学 控制与计算机工程学院,北京市 昌平区 102206
- 2. 华北电力大学 电气与电子工程学院,北京市 昌平区 102206
- 折叠
摘要
Abstract
During the installation,transportation,operation,maintenance,and testing of power transformers,it is necessary to strictly comply with relevant technical requirements and standard specifications.These standard specifications have a large amount of data and are mostly stored in the form of text.When power grid workers query these specification texts,there are problems such as low query efficiency and weak knowledge correlation.As a new way of knowledge organization and management,knowledge graph can achieve intuitive display and efficient retrieval of massive information.Therefore,this article designs a knowledge graph construction method for power transformer regulations.To address the issue of triplet overlap in transformer regulation texts and improve the accuracy of triplet extraction,this paper adopts a CasRel-BiLSTM-MHA entity relationship joint extraction model that integrates multi head attention mechanism and bidirectional LSTM to extract knowledge from texts.The experimental results show that the F1 value based on this model reaches 83.48%,which is significantly improved compared to other comparative models,verifying the superiority of this model in constructing knowledge extraction tasks for power transformer regulations.Finally,applying the constructed knowledge graph to the intelligent Q&A of power transformer regulations can provide strong support for the safe operation and standardized operation of transformers.关键词
电力变压器/规程/知识图谱/CasRel-BiLSTM-MHA/智能问答Key words
power transformer/regulations/knowledge graph/CasRel-BiLSTM-MHA/intelligent Q&A分类
信息技术与安全科学引用本文复制引用
祝龙,金花,王璁,贾玉轩..面向电力变压器规程的知识图谱构建方法研究[J].电力信息与通信技术,2026,24(5):49-56,8.
