Landslide early warning method, device, computer equipment and storage medium

Abstract

The present application relates to a landslide early warning method, device, computer equipment and storage medium. The method includes: acquiring urban slope terrain phase information and surface deformation phase information; determining a potential landslide area according to the terrain phase information and surface deformation phase information; determining the surface and deep displacement information of the potential landslide area, Stress and strain information and geological and hydrological conditions are monitored to obtain monitoring data; an early warning model is used to perform early warning analysis on the monitoring data to obtain early warning indicators for the potential landslide area, and the early warning indicators are used to indicate the safety of the potential landslide area degree. The method can quickly and effectively warn potential landslide areas.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a landslide early warning method, device, computer equipment and storage medium. Background technique [0002] As a geological hazard, landslides often occur in areas with more rainfall. With the development of sensor technology, the monitoring of landslide engineering is becoming more and more intelligent. However, due to the complex monitoring conditions of landslide engineering and many uncertain factors of disasters, the current landslide prediction and early warning for a single slope is mainly based on internal analysis (geomechanical model) Based on various mechanical analysis (including limit equilibrium analysis and numerical analysis), but the effect is not ideal. [0003] The existing techniques for monitoring landslides are only applicable to known landslides and cannot predict potential landslides. Contents of the invention [0004] Based on this, it ...

AI Technical Summary

Problems solved by technology

With the development of sensor technology, the monitoring of landslide engineering is becoming more and more intelligent. However, due to the complex monitoring conditions of landslide engineering and the many uncertain factors of disasters, the current landslide prediction and early warning for a single slope is mainly based on internal analysis (geomechanical model) Based on various mechanical analysis (including limit equilibrium analysis and numerical analysis), but the effect is not ideal

[0003] Existing techniques for monitoring landslides are only applicable to known landslides and cannot predict potential landslides

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