|本期目录/Table of Contents|

[1]徐浩,康振渊,张焱,等.面向电力变压器故障辅助决策的知识图谱构建及补全策略研究*[J].中国安全生产科学技术,2025,21(5):46-54.[doi:10.11731/j.issn.1673-193x.2025.05.006]
　XU Hao,KANG Zhenyuan,ZHANG Yan,et al.Research on construction and completion strategies of knowledge graph for fault assistant decision-making of power transformers[J].Journal of Safety Science and Technology,2025,21(5):46-54.[doi:10.11731/j.issn.1673-193x.2025.05.006]
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面向电力变压器故障辅助决策的知识图谱构建及补全策略研究*()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年5期
页码:
46-54
栏目:
学术论著
出版日期:
2025-05-30

文章信息/Info

Title:
Research on construction and completion strategies of knowledge graph for fault assistant decision-making of power transformers
文章编号:
1673-193X(2025)-05-0046-09
作者:
徐浩; 康振渊; 张焱; 吕海华; 葛琳琳
（1.南京工程学院 商学院，江苏 南京 211167；
2.南京大学 信息管理学院，江苏 南京 210023；
3.南京工程学院 电力工程学院，江苏 南京 211167；
4.南京工程学院 管理工程学院，江苏 南京 211167）
Author(s):
XU Hao;  KANG Zhenyuan;  ZHANG Yan;  LYU Haihua;  GE Linlin
（1.School of Business,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China;
2.School of Information Management,Nanjing University,Nanjing Jiangsu 210023,China;
3.School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China;
4.School of Management Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China）
关键词:
电力变压器故障; 知识图谱; 链接预测; 图神经网络
Keywords:
power transformer fault;  knowledge graph;  link prediction;  graph neural network
分类号:
X934
DOI:
10.11731/j.issn.1673-193x.2025.05.006
文献标志码:
A
摘要:
为提高电力变压器故障的处置效率，保障电力系统的安全稳定，提出1种电力变压器故障知识图谱构建、补全及其应用策略：深度融合W2NER模型与PURE模型，从非结构化文本中抽取扁平、嵌套和不连续实体及其关系，结合专家知识，构建故障知识图谱；通过实验对比不同实体与关系组合计算方式和评分函数在CompGCN模型中的应用效果，筛选最优方案以预测和补全知识图谱中的潜在链接；基于SBERT模型完成语义匹配检索，实现故障辅助决策。研究结果表明：提出的方法在命名实体识别和关系抽取任务中，F1值分别达到76.11%和90.88%，知识图谱补全和语义匹配检索均能达到预期效果。研究结果扩展电力变压器故障知识图谱的构建及补全策略，为故障处置决策提供支持。
Abstract:
To improve the disposal efficiency of power transformer faults and ensure the safety and stability of the power system,a construction,completion,and application strategy of knowledge graph for the power transformer faults was proposed.A deep integration of the W2NER model and the PURE model was used to extract the flat,nested,and discontinuous entities and their relationships from unstructured text.Combined with the expert knowledge,a fault knowledge graph was constructed.Through the experiments,the application performance of different entity-relationship combination calculation methods and scoring functions in the CompGCN model was compared,and the optimal scheme was selected to predict and complete the potential links in the knowledge graph.The semantic matching retrieval based on the SBERT model was implemented to realize the fault assistant decision-making.The results show that the proposed method attains F1 scores of 76.11% and 90.88% in named entity recognition and relationship extraction tasks,respectively.Both the knowledge graph completion and semantic matching retrieval can meet the expected outcomes.The research results extend the construction and completion strategies for the knowledge graphs of power transformer faults,which can provide support for the fault disposal decision-making.

参考文献/References:

［1］岳宝强,孙世军,杨立超,等.基于贝叶斯网络的危化品爆炸事故电力系统风险评估模型［J］.中国安全生产科学技术,2021,17(1):155-161.YUE Baoqiang,SUN Shijun,YANG Lichao,et al.Risk assessment model of electricity system in hazardous chemicals explosion accident based on Bayesian network ［J］.Journal of Safety Science and Technology,2021,17(1):155-161.
［2］周长玉,李想,焦润海,等.基于领域知识图谱的变压器故障联合推理［J］.中国电机工程学报,2025,45(6):2160-2171.ZHOU Changyu,LI Xiang,JIAO Runhai,el al.Joint reasoning for transformer faults based on domain knowledge graphs［J］.Proceedings of the CSEE,2025,45(6):2160-2171.
［3］谢庆,蔡扬,谢军,等.基于ALBERT的电力变压器运维知识图谱构建方法与应用研究［J］.电工技术学报,2023,38(1):95-106.XIE Qing,CAI Yang,XIE Jun,et al.Research on construction method and application of knowledge graph for power transformer operation and maintenance based on ALBERT［J］.Transactions of China Electrotechnical Society,2023,38(1):95-106.
［4］廖才波,黄智勇,杨金鑫,等.基于缺陷文本识别的变压器风险评估及辅助检修决策方法［J］.高电压技术,2024,50(7):2931-2941.LIAO Caibo,HUANG Zhiyong,YANG Jinxin,et,al.Risk assessment and auxiliary maintenance decision method of transformer based on defect text recognition［J］.High Voltage Engineering,2024,50(7):2931-2941.
［5］马亚杰,刘洋,姜斌,等.基于异构图注意力的工业设备故障诊断知识图谱补全方法［J］.中国科学:信息科学,2024,54(2):354-372.MAYajie,LIU Yang,JIANG Bin,et al.Knowledge graph completion method for industrial equipment fault diagnosis based on heterogeneous graph attention［J］.Scientia SinicaInformationis,2024,54(2):354-372.
［6］CHEN Y,LI H,LI H,et al.An overview of knowledge graph reasoning:key technologies and applications［J］.Journal of Sensor and Actuator Networks,2022,11(4):78.
［7］LI J,FEI H,LIU J,et al.Unified named entity recognition as word-word relation classification［C］//Proceedings of the AAAI Conference on Artificial Intelligence,2022.
［8］ZHONG Z,CHEN D.A frustratingly easy approach for entity and relation extraction［EB/OL］.(2020-10-24)［2025-05-06］.https://arxiv.org/abs/2010.12812.
［9］VASHISHTH S,SANYAL S,NITIN V,et al.Composition-based multi-relational graph convolutional networks［EB/OL］.(2019-11-08)［2025-05-06］.https://arxiv.org/abs/1911.03082.
［10］周义棋,刘畅,龙增,等.电网应急预案知识图谱构建方法与应用［J］.中国安全生产科学技术,2023,19(1):5-13.ZHOU Yiqi,LIU Chang,LONG Zeng,et al.Construction method and application of knowledge graph in emergency plans forpower grid ［J］.Journal of Safety Science and Technology,2023,19(1):5-13.
［11］田嘉鹏,宋辉,陈立帆,等.面向知识图谱构建的设备故障文本实体识别方法［J］.电网技术,2022,46(10):3913-3922.TIAN Jiapeng,SONG Hui,CHEN Lifan,et al.Entity recognition approach of equipment failure text for knowledge graph construction［J］.Power System Technology,2022,46(10):3913-3922.
［12］郭榕,杨群,刘绍翰,等.电网故障处置知识图谱构建研究与应用［J］.电网技术,2021,45(6):2092-2100.GUO Rong,YANG Qun,LIU Shaohan,et al.Construction and application of power grid fault handing knowledge graph［J］.Power System Technology,2021,45(6):2092-2100.
［13］吴越,孙海春.基于图神经网络的知识图谱补全研究综述［J］.数据分析与知识发现,2024,8(3):10-28.WU Yue,SUN Haichun.An overview of research on knowledge graph completion based on graph neural network［J］.Data Analysis and Knowledge Discovery,2024,8(3):10-28.
［14］KIPF T N,WELLING M.Semi-supervised classification with graph convolutional networks［EB/OL］.(2016-09-09)［2025-05-06］.https://arxiv.org/abs/1609.02907.
［15］SCHLICHTKRULL M,KIPF T N,BLOME P,et al.Modeling relational data with graph convolutional networks［C］//The Semantic Web:15th International Conference,ESWC 2018,,2018.
［16］CUI Y,CHE W,LIU T,et al.Pre-training with whole word masking for chinesebert［J］.IEEE/ACM Transactions on Audio,Speech,and Language Processing,2021.
［17］NICKEL M,ROSASCO L,POGGIO T.Holographic embeddings of knowledge graphs［C］//Proceedings of the AAAI Conference on Artificial Intelligence,2016.
［18］YANG B,YIH W,HE X,et al.Embedding entities and relations for learning and inference in knowledge bases［EB/OL］.(2014-12-20)［2025-05-06］.https://arxiv.org/abs/1412.6575.
［19］BORDES A,USUNIER N,GARCIA-DURAN A,et al.Translating embeddings for modeling multi-relational data［J］.Advances in neural information processing systems,2013,26.
［20］DETTMERS T,MINERVINI P,STENETORP P,et al.Convolutional 2d knowledge graph embeddings［C］//Proceedings of the AAAI Conference on Artificial Intelligence,2018.
［21］REIMERS N,GUREVYCH I.Making monolingual sentence embeddings multilingual using knowledge distillation［EB/OL］.(2020-04-21)［2025-05-06］.https://arxiv.org/abs/2004.09813.
［22］国家电网有限公司设备管理部.变压器类设备典型故障及缺陷案例汇编（2011—2018年）［M］.北京:中国电力出版社,2019:1-321.
［23］浙江省电力公司科技信息部.电网变电一次设备缺陷用语规范：Q/ZDJ 44—2005［S］.杭州：浙江省电力公司，2005.
［24］国家电网公司科技部.输变电设备缺陷用语规范 第1部分：变电一次部分：Q/GDW 1904.1—2013［S］.北京：国家电网有限公司，2014.

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备注/Memo

备注/Memo:
收稿日期： 2024-12-20
* 基金项目： 国家自然科学基金项目（51678291）；江苏高校哲学社会科学研究重大项目（2024SJZD066）；江苏省研究生科研与实践创新计划项目（TB202517026）
作者简介： 徐浩，博士，副教授，主要研究方向为信息智能处理与检索。
通信作者： 张焱，博士，教授，主要研究方向为电力安全、经济技术分析。
更新日期/Last Update: 2025-05-26