Regional geological disaster trend prediction method
A technology for predicting geological hazards and trends. It is used in forecasting, geographic information databases, and image data processing. It can solve problems such as poor accuracy and low accuracy of forecast results, and achieve the effect of improving accuracy and rational layout.
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Embodiment 1
[0026]Such asfigure 1 As shown, a regional geological disaster trend prediction method includes the following steps:
[0027]S1. Collect historical data on the occurrence of geological disasters in the region, and obtain basic parameters of geological disasters, including geological disaster type parameters, level parameters, spatial distribution parameters, and geological environment parameters before the disaster occurs;
[0028]S2. Obtain geological disaster trend prediction models / algorithms based on geological disaster type parameters, level parameters, spatial distribution parameters and geological environment parameter training before the disaster occurs;
[0029]S3. Based on the geological hazard trend prediction model / algorithm, the prediction and analysis of the geological hazard in the region are realized according to the current geological environment parameters.
[0030]In this embodiment, in the step S1, the synchronous mining of the basic parameters of geological disasters is rea...
Embodiment 2
[0034]Such asfigure 2 As shown, a regional geological disaster trend prediction method includes the following steps:
[0035]S1. Collect historical data on the occurrence of geological disasters in the region, and obtain basic parameters of geological disasters, including geological disaster type parameters, level parameters, spatial distribution parameters, and geological environment parameters before the disaster occurs;
[0036]S2. Obtain geological disaster trend prediction models / algorithms based on geological disaster type parameters, level parameters, spatial distribution parameters and geological environment parameter training before the disaster occurs;
[0037]S3. Construct a target detection model for realizing the recognition of abnormal image data contained in satellite image data in the region; specifically: the target image detection model adopts the Dssd_Inception_V3_coco model. First, pretrain the Inception_V3 deep neural network with the coco data set, and then Train the mo...
Embodiment 3
[0043]Such asimage 3 As shown, a regional geological disaster trend prediction method includes the following steps:
[0044]S1. Based on the satellite image of the region, realize the coordinate positioning of the geological environment parameter collection node of the region; specifically, first, obtain the satellite image data of the region, and then collect the geological environment parameter according to the detection coverage threshold of the geological environment parameter collection node Node location location, generate geological environment parameter collection node location map, when geological environment collection node layout, based on geological environment parameter collection node location map navigation to realize the location of each geological environment collection node;
[0045]S2. Collect historical data on the occurrence of geological disasters in the region, and obtain basic parameters of geological disasters, including geological disaster type parameters, level ...
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