High and steep slope geological disaster monitoring method and system based on multi-source data fusion
By employing multi-source data fusion and geological logic constraints, a landslide early warning system for steep slopes was constructed. This system addresses the issues of insufficient multi-source data fusion and low geological modeling accuracy in existing technologies, enabling precise interpretability and practical application of landslide early warnings, and improving the accuracy and safety of the warnings.
Patent Information
- Application Number
- CN202610313022.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-16
- Publication Date
- 2026-05-01
AI Technical Summary
Existing landslide early warning methods for steep slopes suffer from problems such as lack of deep integration of multi-source data, low accuracy of geological modeling, lack of geological logic constraints in time series data denoising and feature mining, and uninterpretable early warning models, resulting in poor accuracy and implementation of early warnings.
By tracking surface deformation through PS-InSAR time series analysis and atmospheric phase correction, and combining slope rock mass structure characteristics and groundwater level dynamics, a multi-dimensional spatiotemporal feature map is constructed to extract the characteristics of key disaster-causing factors. Combined with true three-dimensional geological environment background characteristics and spatiotemporal evolution characteristics, the comprehensive landslide early warning level and potential instability mode are analyzed, achieving multi-source data synergy, geological logic adaptation, and accurate and interpretable early warning.
It improves the accuracy and interpretability of landslide early warning, effectively predicts the risk of slope instability, reduces casualties and property losses, and ensures project safety.