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