Abstract: In the context of the current continuous progress of dam safety monitoring technology, the monitoring information presents a significant increase in terms of levels, indicators and magnitude, resulting in a large amount of redundant data whose value has not been effectively explored. To address this problem, it is proposed to quantify the spatial correlation between different measurement points by analyzing the monitoring data of the measurement points, spatial coordinates and using the Manhattan distance algorithm. Secondly, by analyzing the spatial correlation of the abnormal measurement point groups, a nonlinear interpolation method is used to comprehensively evaluate the overall structural safety of the dam to determine whether there is a tendency of spreading in the region of the abnormal measurement points, and the constructed dam structural safety knowledge graph realizes the connection and real-time processing of the massive monitoring information. Finally, the overall safety of an arch dam is evaluated by integrating the monitoring information of the dam and scored according to the proposed rules for evaluating the structural safety of the arch dam, and the overall structural safety of the arch dam is normal, which verifies the reasonableness of the proposed method, and can be used to realize the whole chain intelligence of “data-knowledge-decision-making” for the safety of the dam. The proposed method is reasonable and can provide new ideas for realizing the whole chain of intelligent support of “data-knowledge-decision” for dam safety.