一种基于数字孪生技术的滑坡监测与预警方法
By constructing a landslide monitoring system using digital twin technology, and utilizing high-precision 3D models and multi-source data fusion, real-time monitoring and high-precision early warning of landslide areas are achieved. This solves the problems of insufficient real-time performance and accuracy in traditional methods and provides efficient landslide early warning support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING UNIV
- Filing Date
- 2024-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack real-time performance, accuracy, and reliability in landslide monitoring and early warning, and traditional methods are insufficient for achieving efficient and accurate landslide monitoring and early warning.
By employing digital twin technology, a comprehensive landslide monitoring and sensing system is established, a high-precision three-dimensional model is constructed, and ANSYS is used for secondary development and Python programming to achieve multi-level precision and frequency data acquisition. Multi-source data are dynamically fused and cyclic twin algorithms are used to dynamically correct the landslide hazard index and perform multi-level landslide prediction and early warning.
It enables real-time monitoring and high-precision early warning of the entire landslide area, improves the comprehensiveness, real-time performance and accuracy of monitoring data, and provides high-fidelity prediction and early warning support for landslide hazards.
Smart Images
Figure CN118247924B_ABST