Geological disaster monitoring method and monitoring system based on big data

Abstract

The invention relates to the technical field of geological disasters, in particular to a geological disaster monitoring method and monitoring system based on big data. The method comprises steps of acquiring geological monitoring information, image monitoring information and / or disaster public opinion information in a monitoring region; carrying out semantic analysis on the geological monitoring information, the image monitoring information and / or the disaster public opinion information; carrying out geological clustering processing on the geological disaster data so as to generate regional geological disaster data; and comparing the regional geological disaster data with disaster history data so as to generate regional disaster prediction information. According to the invention, by acquiring and analyzing the geological monitoring information, the image monitoring information and / or the disaster public opinion information, real-time monitoring management is performed on geological disaster target positions and surrounding environments in an all-around way; a geological disaster analysis and real-time early warning system based on the big data is established; and geological disaster monitoring efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of geological disaster monitoring, in particular to a method and system for monitoring geological disasters based on big data. Background technique [0002] my country is one of the countries with the most serious geological disasters in the world due to frequent geological disasters. Natural changes and man-made destruction are the main causes of geological disasters. The main forms of disasters include: collapses, landslides, mudslides, etc., which seriously affect the regional economic construction and the safety of people's lives and property. [0003] Most of the geological disaster monitoring methods in the prior art adopt artificial prediction methods, which have problems such as unscientific data collection, untimely data collection, and insufficient information coverage. For satellite data, the identification method in the prior art is also through manual viewing, and because of the dense alpine ve...

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Problems solved by technology

[0003] Most of the geological disaster monitoring methods in the existing technology adopt artificial prediction methods, which have problems such as unscientific data collection, untimely data collection, and insufficient information coverage

For satellite data, the identification method in the prior art is also through manual viewing, and because of the dense alpine vegetation, it is difficult to capture the deformation of the slope even with high-precision satellites, and there are obvious bottleneck factors

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