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作 者:林正平 吕黔苏 石嘉豪 杨宇亮 王志明 Lin Zhengping;Lyu Qiansu;Shi Jiahao;Yang Yuliang;Wang Zhiming(China Southern Power Grid Research Institute Co.,Ltd.,Guangzhou Guangdong 510663,China;Electric Power Research Institute,Guizhou Power Grid Co.,Ltd.,Guiyang Guizhou 550002,China)
机构地区:[1]南方电网科学研究院,广东广州510663 [2]贵州电网有限责任公司电力科学研究院,贵州贵阳550002
出 处:《电气自动化》2025年第1期54-57,共4页Electrical Automation
摘 要:针对电力设备数据数据检索效率低的问题,提出了电力设备标准知识图谱构建方法研究。首先,对电力设备数据中非结构化数据进行数据抽取,利用PowerRoberta-BiLSTM-CRF模型对电力设备标准数据文本进行实体关系识别,为电力设备标准知识图谱提供数据支撑;然后,提出了自顶向下的电力设备标准本体构建模型,为知识图谱构建提供辅助;最后,建立电力设备标准系统对设备标准知识进行可视化展示。试验结果表明,电力设备标准知识图谱能提供准确的设备信息,提高电力系统智能化水平。A method for constructing a standard knowledge graph of power equipment was studied to address the issue of low data retrieval efficiency.Firstly,the unstructured data was extracted from power equipment data and the PowerRoberta BiLSTM CRF model was used to recognize entity relationships in power equipment standard data texts,providing data support for the power equipment standard knowledge graph;then,a top-down model for constructing the standard ontology of power equipment was proposed,providing assistance for the construction of knowledge graphs;finally,a power equipment standard system was established to visually display equipment standard knowledge.The experimental results indicate that the knowledge graph of power equipment standards can provide accurate equipment information and improve the intelligence level of the power system.
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