Landslide geological disaster early warning pushing method

Abstract

The invention provides a landslide geological disaster early warning pushing method. The cloud computing technology is utilized for analyzing weather data, position data, geological data, environmental data and the like, an AHP landslide geological risk evaluation system and a geological disaster rainfall induction model are set up, information about time and probability for possible landslide geological disaster occurrence is predicted, and prediction precision is improved; a landslide geological early warning active pushing and preventing emergency response model based on position data service is utilized for pushing early warning and emergency information to terminal equipment, and efficiency of geological disaster early warning and pushing and initiative of disaster response are effectively improved.

Description

technical field [0001] The invention belongs to the field of early warning of geological disasters, relates to the field of data processing methods, and in particular to a push method for early warning of landslide geological disasters based on position data, weather data, geological data and the like. Background technique [0002] my country is one of the countries where geological disasters are relatively serious, and geological disasters are widely distributed and harmful, which poses a huge threat to nature, society and people's life and property, seriously affects the quality of human living and living environment, and restricts regional social economy. of stability. Among them, landslide geological disasters are frequent geological disasters, which are caused by rock mass or soil mass sliding down with the slope under the action of gravity, induced by a large amount of precipitation and seismic activity, and have both natural and social impacts. The main processes of c...

AI Technical Summary

Problems solved by technology

Although these studies have made significant progress in the field of geological disasters, their research direction is mainly biased towards passive monitoring and processing of landslide disasters, and it is difficult to make more accurate early warnings and active pushes within a few minutes before the occurrence of landslide disasters. The main reasons are that the geological structure is complex and changeable, the data processing ability of landslide geological disasters is limited, the trajectory of geological position changes is difficult to analyze and obtain in real time, the error of the landslide risk assessment and monitoring model is large, and the research process of geological disasters is too passive.

Since the effective early warning of geological disasters cannot be realized in the true sense at present, once geological disasters occur, they are mostly destructive and catastrophic; in the emergency response to sudden geological disasters, predictions and plans often cannot play a specific guiding role or cannot To meet the different needs of landslide geological disasters

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