Intelligent landslide prediction method based on tangent angle and various landslide models

Abstract

According to the intelligent landslide prediction method based on the tangent angle and the various landslide models, the danger degree of the schedule landslide can be automatically judged only by inputting displacement-time data of the landslide monitoring result, and the occurrence time of the landslide can be predicted by integrating various landslide prediction models. Comprising the following steps: performing Kalman filtering on landslide displacement and time results, converting the filtered displacement and displacement in a time curve, and dividing the converted displacement and displacement by the speed of a constant-speed deformation stage to obtain a longitudinal coordinate value which is the same as the time dimension after conversion; acquiring a curve tangent angle in the current monitoring time period according to the vertical coordinate value, and judging the development stage of the current landslide according to the curve tangent angle; and according to the filtered displacement and time curve, calculating and predicting the occurrence time of the landslide through a landslide prediction model.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an intelligent landslide prediction method based on tangent angles and various landslide models. Background technique [0002] Landslide is a phenomenon in which the rock and soil mass on the surface slope of the earth's crust slides downward due to various reasons. It is widely distributed around the world and is seriously harmful. my country is one of the countries with the most serious geological disasters and the most threatened population in the world, among which landslide disasters are the most frequent and most harmful geological disasters. In the past 20 to 30 years, the theoretical level of landslide research in my country has been significantly improved, and the control measures and methods have been continuously improved. However, it is still impossible to accurately predict the time of landslide occurrence, and there are many false alarms ...

AI Technical Summary

Problems solved by technology

In order to realize the prediction of landslide occurrence time, landslide prediction has gone through experience prediction stage, statistical analysis prediction stage, comprehensive analysis and prediction stage, and put forward a qualitative analysis method, rigid body limit equilibrium method, numerical analysis method, comprehensive evaluation method and so on. A series of methods for predicting landslides, but each of these methods has different defects or difficulties in use, and cannot achieve accurate automatic prediction, resulting in excessive manpower investment, failure to popularize, and low practicability

Images