In view of the problems of low efficiency,narrow coverage,insufficient data integration,and strong subjectivity in evaluation in traditional health monitoring methods (manual inspection,single technology) for bank protection projects in inland waterways,a multi-dimensional health status monitoring and evaluation index system for bank protection is built on the basis of “water-land-air-space” multi-source sensing and DERU-AHP quantitative model.Shore-based video,UAV laser point cloud,unmanned ship sonar,distributed optical fiber sensing,Beidou navigation and other technologies are innovatively integrated,and an air-space-shore-water-underwater integrated collaborative monitoring network is built to achieve all-round perception of surface,internal and underwater diseases of revetment structures.The analytic hierarchy process (AHP) is used to determine the index weights,and the damage-extent-reflection-urgency (DERU) model is introduced into the field of bank protection health assessment to establish four-dimensional quantitative grading evaluation criteria.The system is verified by the application in a gravity-type bank protection project in the middle of the Yangtze River.The results show that the system accurately identifies hidden crack propagation and internal stress anomalies missed by manual inspection,and the comprehensive evaluation score (62.5 points,Class III) is more in line with actual maintenance needs than the traditional method (Class II,80-90 points).Quantitative analysis shows that the evaluation error is reduced by 25.4%,and the risk assessment efficiency is improved by 40%.The results can provide accurate and efficient technical support for the intelligent operation and maintenance of revetment projects,and are of great significance for improving the full life cycle management level of waterway infrastructure.