关键词: 仪器监测, 巡视检查, 知识图谱, 空间融合, 模糊综合评价

Abstract: To address the issues of data separation and insufficient correlation between instrument moni_ toring and manual patrol inspection in the operational safety assessment of hydropower dams, a integra_ tion method for dam safety monitoring based on knowledge graph and fuzzy comprehensive evaluation is proposed. Firstly, by studying the correlation characteristics of instrument monitoring and patrol inspec_ tion on spatial distribution and structural mechanisms, and relying on graph databases, a knowledge graph integrating instrument monitoring and patrol inspection is constructed to solve the problem of cor_ relation positioning between monitoring data and patrol inspection defects. On this basis, a fuzzy compre_ hensive evaluation method considering spatial and logical correlations is established to realize layer-by- layer fusion from local to overall structural levels, improving the accuracy of dam safety status evalua_ tion. Finally, a project in Yunnan province is taken as a case to verify the feasibility of the proposed method. The results show that this method makes full use of the advantages of knowledge graph in infor_ mation fusion and brain-like reasoning, integrates "monitoring items, abnormal phenomena and patrol inspected defects" into a complete evidence chain, which comprehensively considers the spatial distribu_ tion and structural mechanism correlation characteristics to realize the fusion of instrument monitoring and patrol inspection, effectively improving the accuracy of dam safety status evaluation.

Key words: instrument monitoring, patrol inspection, knowledge graph, spatial integration, fuzzy com_ prehensive evaluation