Post-earthquake road disaster area rapid prediction method and system and storage medium

A forecasting method and road technology, applied in forecasting, data processing applications, machine learning and other directions, can solve problems such as the inability to obtain a general-purpose machine learning model and the limited application of disaster-affected area forecasting, achieving fast computing speed, high accuracy, easy-to-get effects

Active Publication Date: 2021-10-22
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

However, when using machine learning methods to assess disaster-affected areas, because this method relies on historical data, when historical data is missing, it is often impossible to obtain a machine learning model with high versatility, and its application in disaster-affected area prediction is limited.

Method used

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  • Post-earthquake road disaster area rapid prediction method and system and storage medium
  • Post-earthquake road disaster area rapid prediction method and system and storage medium
  • Post-earthquake road disaster area rapid prediction method and system and storage medium

Examples

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Embodiment 1

[0055] In this example, the counties and cities affected by the earthquake in Yunnan Province are taken as the research area, and the main roads in the study area are taken as the research object. Assuming that an earthquake occurs in Ludian, Yunnan, set the seismic parameters such as the source and magnitude, and use this application to evaluate and predict the aftermath of the earthquake. damage to roads.

[0056] A rapid prediction method for the disaster-affected area of ​​the road after the earthquake, such as figure 1 shown, including the following steps:

[0057] S1. Obtain the research area and current seismic parameters, divide the research area into multiple slope units according to the elevation of the research area, obtain the seismic landslide factor data corresponding to each slope unit, and obtain the historical earthquake landslide distribution data in the research area.

[0058] In step S1, the administrative scope of the five counties affected by the earthqu...

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Abstract

The invention relates to a post-earthquake road disaster area rapid prediction method and system and a storage medium. The method comprises the steps of dividing a research area into a plurality of slope units; obtaining a training set composed of landslide units and non-landslide units based on historical earthquake landslide distribution data; training based on the training set to obtain a landslide probability evaluation model; performing landslide probability evaluation by using the landslide probability evaluation model to obtain a danger unit; and determining a landslide range of each dangerous unit by using a physical mechanical model to obtain a disaster area prediction result of the post-earthquake road. Compared with the prior art, the invention comprises training a landslide probability evaluation model by using a machine learning method to obtain a danger unit with a relatively large landslide probability; then using a mechanical model for researching the dangerous unit, so that the rapid evaluation of the landslide influence on the road in the post-earthquake research area and the accurate space positioning of the road disaster condition are realized. The invention can carry out the rapid evaluation of a wide area space, and provides a reference for the formulation of earthquake emergency rescue measures.

Description

technical field [0001] The invention relates to the technical field of seismic data processing, in particular to a method, system and storage medium for rapid prediction of disaster-affected areas on roads after earthquakes. Background technique [0002] Earthquake landslides always cause huge economic losses and casualties. In addition to directly burying houses, landslides often damage roads, block traffic, and seriously affect post-earthquake rescue. Therefore, in order to reduce earthquake losses and ensure the smooth progress of emergency rescue work after the earthquake, it is necessary to accurately predict the impact range of landslides after the earthquake, especially to quickly and effectively evaluate the disaster-stricken areas of the road, so as to provide strong support for the formulation of emergency rescue plans. [0003] In order to realize the prediction and evaluation of earthquake landslide disasters, traditional mechanical models are firstly applied in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N20/00G06Q10/04G06Q50/26G06F119/14
CPCG06F30/27G06N20/00G06Q10/04G06Q50/265G06F2119/14G06N3/044
Inventor 车爱兰吴雨晨周晗旭
Owner SHANGHAI JIAO TONG UNIV
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