Fine particulate matter pollution level prediction method and device and computer device

Abstract

The invention discloses a fine particulate matter pollution level prediction method and device and a computer device, relates to the field of atmospheric monitoring, and aims to perform targeted detection on the fine particulate matter pollution level based on real-time environmental data and solve the problem that a fine particulate matter analysis result is not accurate enough. The method comprises the following steps: screening out target analysis data of which the correlation with fine particulate matters meets a preset standard; creating a fine particle spatial distribution diagram according to the concentration values of the fine particles in a preset historical time period; training a convolutional neural network model based on the target analysis data and the fine particle spatialdistribution map; and utilizing the trained convolutional neural network model to judge the pollution level of the fine particulate matters in a future preset time period. The method is suitable for predicting the pollution level of the fine particulate matters.

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...

AI Technical Summary

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

Images