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水力发电学报 ›› 2022, Vol. 41 ›› Issue (10): 86-98.doi: 10.11660/slfdxb.20221007

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水电站运维本体知识库构建及应用

  

  • 出版日期:2022-10-25 发布日期:2022-10-25

Construction and application of ontology knowledge base for hydropower plant operation and maintenance

  • Online:2022-10-25 Published:2022-10-25

摘要: 针对水电站运行管理中大量多源异构的结构化和非结构化文本资料难以有效管理和复用难题,将基于本体的知识建模引入到水电站运维知识管理和知识服务中,定义了基于本体的知识表示模型并详细构建了水电站设备运维、故障预警、应急预案三大典型业务领域本体知识表示实例和本体知识库,提出本体综合相似度计算方法,并以该算法为基础实现了本体驱动的水电站知识检索、预测预警和应急演练可视化应用。通过实际工程案例展示验证了基于本体的水电站运维知识库构建方法及关键技术的可行和有效性,提升水电站知识管理和应用水平。

关键词: 水电站, 本体, 知识库, 故障预警, 应急预案

Abstract: The construction and operation of hydropower plants are faced with a large body of multi-source heterogeneous structured and unstructured text data that are difficult to manage and reuse effectively. Aiming at the issue, we apply ontology-based knowledge modeling to knowledge management and knowledge service for hydropower plant operation and maintenance (HPOM), and define an ontology-based knowledge representation model. Then, we construct ontology knowledge representation examples in detail and an ontology knowledge base for the three typical business fields-HPOM, fault warning, and emergency plans. Based on this, the ontology-driven visualization of knowledge retrieval, prediction and warning, and emergency drill, as well as its HPOM application are realized. For this ontology-based construction method and the key technologies of the HPOM knowledge base, their feasibility and effectiveness are demonstrated and verified through practical engineering cases, so as to improve the knowledge management of hydropower plants and its application level.

Key words: hydropower plant, ontology, knowledge base, fault warning, emergency plan

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