Landslide hazard safety monitoring and early warning method based on artificial intelligence

Abstract

The invention relates to a landslide hazard safety monitoring and early warning method based on artificial intelligence. The method comprises the following steps that: selecting a characteristic pointin an area which is likely to be subjected to landslide, embedding a sensor component, obtaining the sequential parameter, which is about time, of each type of rock and soil mechanics, and carrying out principal component analysis to obtain a principle component number and a principal component characteristic value F; then, carrying out clustering analysis on the principal component characteristic value F to obtain a key class of landslide hazard occurrence, comparing and analyzing a relationship between the principal component characteristic value and a current day principal component characteristic value, and searching to obtain a landslide hazard early warning threshold value characteristic curve; and finally, applying the relationship between the principal component characteristic value and the current day principal component characteristic value to obtain a prediction value, and comparing with the landslide hazard early warning threshold value characteristic curve to obtain different landslide hazard safety monitoring and early warning response levels. By use of the method, the technical problems in an existing monitoring early warning system that the fusion degree of each module is low, multi-index monitoring data can not be uniformly represented and multi-index safety early warning threshold values can not be effectively obtained to give a safety early warning can be solved.

Description

technical field [0001] The invention relates to the field of landslide geological disaster safety monitoring and early warning, in particular to an artificial intelligence-based landslide disaster safety monitoring and early warning method. Background technique [0002] China has a vast territory and is a country with frequent landslide geological disasters. According to the statistical yearbook of my country's landslide disasters, since 1949, there have been more than 20,000 landslide geological disasters, more than 1,000 casualties, and more than 900,000 people affected by landslides in my country every year. , the direct economic loss is 2-6 billion yuan. The "Three-Year Action Plan for Improving Scientific and Technological Support Capabilities and Strengthening Geological Hazard Monitoring and Early Warning (2018~2020)" and the "13th Five-Year Plan for National Geological Hazard Prevention and Control" propose that it is necessary to strengthen the prevention and control...

AI Technical Summary

Problems solved by technology

[0010] The object of the present invention is to provide a kind of landslide disaster safety monitoring and early warning method based on artificial intelligence, this method is based on artificial intelligence method, establishes reliable, each module merges the landslide disaster safety monitoring and early warning system, solves the existing monitoring and early warning system. The integration degree of each module of the system is low, the multi-indicator monitoring data cannot be uniformly represented, and the multi-indicator safety warning threshold cannot be effectively obtained and the technical problems of safety warning

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