Prediction method, device and computer equipment for fine particle pollution level

A technology of fine particulate matter and prediction method, which is applied in prediction, calculation, neural learning method, etc., can solve the problem of inaccurate analysis results of fine particulate matter, and achieve the effect of enhancing scientificity, improving work efficiency, and meeting the real-time prediction effect.

Active Publication Date: 2022-05-17
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] In view of this, the present application provides a method, device, and computer equipment for predicting the pollution level of fine particles, which can conduct targeted detection of the pollution level of fine particles based on real-time environmental data, and can solve the problem that the analysis results of fine particles are not accurate enough

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  • Prediction method, device and computer equipment for fine particle pollution level
  • Prediction method, device and computer equipment for fine particle pollution level
  • Prediction method, device and computer equipment for fine particle pollution level

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Embodiment Construction

[0023] Hereinafter, the present application will be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0024] Aiming at the current inability to carry out targeted detection of fine particle pollution levels based on real-time environmental data, resulting in inaccurate analysis results, the embodiment of this application provides a method for predicting fine particle pollution levels, such as figure 1 As shown, the method includes:

[0025] 101. Screen out the target analysis data that is correlated with the fine particulate matter and meets the preset standard.

[0026] Among them, the preset standard is that the correlation between the environmental index data to be screened and the fine particles needs to be greater than the preset threshold, and the size of the preset threshold...

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Abstract

The application discloses a method, device, and computer equipment for predicting the pollution level of fine particles, which relate to the field of atmospheric monitoring, and can conduct targeted detection of the pollution level of fine particles based on real-time environmental data, and can solve the problem that the analysis results of fine particles are not accurate enough . The method includes: screening target analysis data that is correlated with fine particles and meets a preset standard; creating a fine particle spatial distribution map according to the concentration value of the fine particles in a preset historical time period; analyzing the data based on the target and the The convolutional neural network model is trained on the spatial distribution map of the fine particles; the pollution level of the fine particles in the future preset time period is determined by using the trained convolutional neural network model. This application is applicable to the prediction of fine particle pollution level.

Description

technical field [0001] The present application relates to the field of atmospheric monitoring, in particular to a method, device and computer equipment for predicting the pollution level of fine particles. Background technique [0002] Haze caused by fine particles is even more harmful to human health than sandstorms. Particles with a particle size of 10 microns or more will be kept out of the human nose; particles with a particle size between 2.5 microns and 10 microns can enter the upper respiratory tract, but some of them can be excreted through sputum, etc. The internal fluff blocks it, which is relatively less harmful to human health; and the fine particles with a particle size below 2.5 microns, whose diameter is equivalent to one-tenth the size of a human hair, are not easy to be blocked. After being inhaled into the human body, it will directly enter the bronchi, interfere with the gas exchange of the lungs, and cause diseases including asthma, bronchitis and cardio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06N3/04G06N3/08
CPCG06Q10/04G06Q10/06393G06Q50/26G06N3/08G06N3/045
Inventor 陈娴娴阮晓雯徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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