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.