多模态知识图谱在电力运检中的应用与展望

doi:10.3969/j.issn.2097-0706.2024.01.008

摘要/Abstract

摘要：

在构建以新能源为主体的新型电力系统背景下，知识图谱（KG）作为可视化的大型语义网络在电力运检中的应用处于快速发展阶段。近年来，KG在电力运检的应用主要集中在语义信息方面，然而电网运行中会产生大量异构数据，足以支撑构建多模态知识图谱（MMKG），为多种下游任务提供数据支持。从电力运检的功能需求出发提出引入MMKG解决综合智能问答系统和故障处置问题，重点介绍了针对电力运检数据的MMKG构建技术，总结了MMKG能够发挥作用的电力运检功能场景，并对未来发展方向做出展望，最后深入分析了发展MMKG会面临的挑战，为电力运检智能化发展与建设提供参考。

关键词: 新型电力系统, 知识图谱, 多模态, 电力运检, 故障处置, 人工智能, 大数据

Abstract:

In the context of building a new power system with new energy as the main body，knowledge graph（KG），a large-scale visual semantic network，is expanding its applications rapidly in power operation and inspection. The applications of KG in power operation and inspection mainly focus on semantic information processing. However，a large amount of heterogeneous data will be generated in power grid operation，being able to uphold the construction of multimodal knowledge graph（MMKG） which provides data support for various downstream tasks. In view of functional requirements on electric power inspection， MMKG is introduced to support the intelligent query answering system and fault handling. Expounding the construction technology of MMKG for power inspection data，the scenarios of power operation and inspection that MMKG can give full play in are summarized，and the development direction is forecasted. Finally，the challenges that will be faced by MMKG is analyzed comprehensively，which provides a reference for the development of intelligent power operation and inspection.

Key words: new power system, knowledge graph, multimodality, power operation and inspection, fault handling, artificial intelligence, big data

中图分类号:

TK01

蔺家骏, 闫玮丹, 胡俊华, 郑一鸣, 邵先军, 郭炳延. 多模态知识图谱在电力运检中的应用与展望[J]. 综合智慧能源, 2024, 46(1): 65-74.

LIN Jiajun, YAN Weidan, HU Junhua, ZHENG Yiming, SHAO Xianjun, GUO Bingyan. Application and prospect of multimodal knowledge graph in electric power operation inspection[J]. Integrated Intelligent Energy, 2024, 46(1): 65-74.

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KG名称	数据规模	适用领域
Freebase	6 800万个实例，24亿个三元组	通用
Dbpedia	40亿个实体，2 800万个知识联系，95亿个三元组	通用
YAGO	980万个实体，114个知识联系，4.5亿个三元组	通用
Zhishi.me	超1 200万个实例，超1.2亿个三元组	通用
XLORE	66万个实体，5万个属性，1 000万个实例	通用
Google Knowledge Graph	5.8亿个实体，3.5万个知识联系，180亿个三元组	通用
开源军事武器装备KG	武器类实体5 800个，实体属性关系184类，实体上位关系1类，包括8大类、148小类的武器装备，涉及国家88个	军事
Linked Movie Dataset	61.5万个三元组数据	影视
乳腺癌KG	超过2 200万个三元组	医学