A method and system for judging disaster risk level based on rain data

A technology of risk level and disaster, applied in the high-level field, can solve the problems of high deployment hardware environment requirements, poor scalability, and high upgrade costs, and achieve the effect of enhancing discovery capabilities, improving efficiency, and high accuracy

Active Publication Date: 2022-07-08
北京慧图科技(集团)股份有限公司
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Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a method for judging the disaster risk level based on rain data, so as to solve the problem that the existing rain data that has been collected and / or predicted rainfall data cannot be effectively used to determine the level of disaster wind direction in the future. And trends are predicted, and the requirements for the deployment hardware environment are high, the upgrade cost is high, and the scalability is poor

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  • A method and system for judging disaster risk level based on rain data
  • A method and system for judging disaster risk level based on rain data
  • A method and system for judging disaster risk level based on rain data

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Embodiment Construction

[0049] The preferred embodiments of the present invention are specifically described below with reference to the accompanying drawings, wherein the accompanying drawings constitute a part of the present application, and together with the embodiments of the present invention, are used to explain the principles of the present invention, but are not used to limit the scope of the present invention.

[0050] like figure 1 As shown, the artificial intelligence technology adopted in the present invention is a data analysis technology based on DNN (deep neural network) basis, is based on traditional ANN (artificial neural network), through deep learning mode, fused CNN (convolutional neural network) Network), RNN (Recurrent Neural Network and Recurrent Neural Network) and other neural network models form a more accurate and effective data analysis method. The model converts the sequence data into more complex digital matrix data, and the neural network system is used in the recogniti...

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Abstract

The invention relates to a method and system for judging disaster risk levels based on rain condition data, belonging to the technical field of artificial intelligence data analysis, and solving the problem that the prior art cannot effectively predict the wind direction level and trend of future disasters. The method includes: acquiring the rainfall data of each station, and constructing the rainfall accumulation histogram of each station according to the time series; inputting the rainfall accumulation histogram into the corresponding current optimal disaster risk level prediction model, and obtaining the disaster prediction risk level information corresponding to the prediction time and the corresponding probability information; obtain the actual risk level information at the forecast time; when the disaster forecast risk level information corresponding to the forecast time is different from the actual risk level information, use the rainfall accumulation histogram marked by the actual risk level of the site to analyze the site Disaster risk level prediction model training, update the site's current optimal disaster risk level prediction model.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence data analysis, in particular to a method and system for judging disaster risk levels based on rain condition data. Background technique [0002] In recent years, with global warming, the meteorological environment has become more complex and diverse, and severe weather is showing an increasing trend. Improving disaster prevention and mitigation capabilities, reducing losses caused by disasters, and promoting the safe and sustainable development of society have become the top priority. heavy. Strengthen the effective monitoring of natural disasters by artificial intelligence, and build an intelligent monitoring, early warning and comprehensive response platform around major natural disasters such as earthquake disasters, geological disasters, meteorological disasters, floods and droughts, and marine disasters. Judging from the trend, intelligence will be the next commanding height ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62G06N3/08G06Q10/04
CPCG06Q10/0635G06Q10/04G06Q50/26G06N3/084G06F18/2415Y02A90/10
Inventor 夏述海姚毅霍宏旭
Owner 北京慧图科技(集团)股份有限公司
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