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Landslide collapse emergency evaluation method and system based on remote sensing big data

A big data and remote sensing technology, applied in data processing applications, machine learning, instruments, etc., can solve problems such as ineffective adjustment of rescue plans, and achieve strong macroscopic, rich information, and good timeliness

Active Publication Date: 2021-12-14
NAT INST OF NATURAL HAZARDS MINISTRY OF EMERGENCY MANAGEMENT OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a landslide and collapse emergency evaluation method and system based on remote sensing big data, which solves the lack of a timely and effective evaluation method for the landslide and collapse emergency rescue plan in the prior art, and cannot make effective adjustments to the rescue plan technical issues

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  • Landslide collapse emergency evaluation method and system based on remote sensing big data
  • Landslide collapse emergency evaluation method and system based on remote sensing big data
  • Landslide collapse emergency evaluation method and system based on remote sensing big data

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Embodiment 1

[0030] Such as figure 1 As shown, the embodiment of the present application provides a landslide and collapse emergency evaluation method based on remote sensing big data, wherein the method includes:

[0031] Step S100: Obtain the multi-dimensional attribute parameters of the first landslide collapse position according to the remote sensing big data, wherein the multi-dimensional attribute parameters include meteorological parameters, hydrological parameters, topographic parameters and formation lithology parameters;

[0032] Specifically, the multi-dimensional attribute parameters of the first landslide collapse location are obtained according to the remote sensing big data, wherein the remote sensing big data refers to the remote sensing data sets with typical big data characteristics obtained through various remote sensing technologies, and the common remote sensing Technologies include satellite remote sensing reconnaissance, aerial remote sensing, UAV remote sensing, etc...

Embodiment 2

[0089] Based on the same inventive concept as that of a landslide and collapse emergency evaluation method based on remote sensing big data in the foregoing embodiments, as Figure 8 As shown, the embodiment of the present application provides a landslide and collapse emergency evaluation system based on remote sensing big data, wherein the system includes:

[0090] The first obtaining unit 11, the first obtaining unit 11 is used to obtain the multidimensional attribute parameters of the first landslide collapse position according to the remote sensing big data, wherein the multidimensional attribute parameters include meteorological parameters, hydrological parameters, topographical parameters and formation lithology parameter;

[0091] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain first input information according to the meteorological parameters and the hydrological parameters;

[0092] A third obtaining unit 13, the third obtaining unit ...

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Abstract

The invention provides a landslide collapse emergency evaluation method and system based on remote sensing big data. The method comprises the steps: obtaining multi-dimensional attribute parameters of a first landslide collapse position, including meteorological, hydrological, terrain and stratum lithologic parameters; obtaining first input information according to the meteorological and hydrological parameters; obtaining second input information according to the terrain and stratum lithologic parameters; obtaining a first landslide collapse emergency mode, and obtaining third input information; inputting the first input information, the second input information and the third input information into a first emergency evaluation model to obtain a first emergency evaluation result, a first landslide collapse emergency response speed and a first landslide collapse emergency effect; and performing incremental learning on the first emergency evaluation model to obtain a second emergency evaluation model, and obtaining a second emergency evaluation result. The technical problems that in the prior art, a method for evaluating a landslide collapse emergency rescue scheme timely and accurately lacks, and the rescue scheme cannot be adjusted in a targeted mode are solved.

Description

technical field [0001] The invention relates to the technical field related to geological disasters, in particular to an emergency evaluation method and system for landslides and collapses based on remote sensing big data. Background technique [0002] Geological disasters have certain complexity and uncertainty, and are more destructive. They pose a threat to the lives and property of the people, destroy buildings and even entire residential areas, and bury roads and railways at the same time, causing major damage to transportation. loss. Landslides and collapses generally belong to the instability problems of slope rock and soil mass, and their causes are often interrelated, so they can be considered as a category of problems. The remote sensing survey technology of geological disasters at home and abroad has basically formed a standardized technical process, and it is relatively mature in the interpretation, classification and production of corresponding images by remote...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06N20/00G06K9/00G06K9/62
CPCG06Q10/0639G06Q50/265G06N20/00G06F18/22
Inventor 黄帅
Owner NAT INST OF NATURAL HAZARDS MINISTRY OF EMERGENCY MANAGEMENT OF CHINA
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