Method and device for predicting air quality index

Abstract

The invention provides a method and a device for predicting air quality index. The method includes the following steps: acquiring a corresponding prediction model according to a to-be-predicted geographical position and current time; acquiring meteorological data of the to-be-predicted geographical position; according to the meteorological data and on the basis of the prediction model, performing operation processing, and determining the air quality index of the to-be-predicted geographical position within to-be-predicted time. By the method and the device, prediction of future air quality index can be completed only through meteorological information which is little and easy to acquire, so that realization difficulty and access threshold of AQI prediction are lowered. In addition, corresponding prediction models are built aiming at each geographical position in different prediction time intervals, so that weather characteristics of local areas can be reflected better, and a powerful guarantee is provided for determining AQI high in accuracy.

Description

Technical field [0001] The present invention relates to the technical field of industrial automation control. Specifically, the present invention relates to a method and device for predicting an air quality index. Background technique [0002] AQI (Air Quality Index, Air Quality Index) is a dimensionless index that quantitatively describes air quality. For individual pollutants, air quality sub-indexes are also provided. The main pollutants involved in air quality evaluation are fine particulate matter, inhalable particulate matter, sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide. [0003] In the prior art, the main AQI prediction method is the AQI prediction method based on the SPRINTARS atmospheric circulation model. SPRINTARS (Spectral Radiation-Transport Model for Aerosol Species) is a numerical model developed to simulate the impact of atmospheric suspended particulate matter, that is, atmospheric aerosols, on the climate system and atmospheric pollution on a gl...

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Problems solved by technology

[0006] 1) The SPRINTARS atmospheric circulation model mainly considers the overall factors of atmospheric circulation, and analyzes the diffusion form of pollutants from the dimension of atmospheric circulation, but it is difficult to distinguish in detail the specific climate conditions of a specific city

Because the specific climate conditions of the same city will change due to different seasons, different time periods, and even human factors. For example, before and after a new chemical plant is built in a certain area, the emission and accumulation of pollutants will definitely change. Therefore, The AQI prediction method based on the SPRINTARS atmospheric circulation model is less accurate for specific cities

[0007] 2) The amount of data collected by the SPRINTARS atmospheric circulation model is very large. At least a large amount of specific information on pollution sources and satellite meteorological information need to be collected. The amount of data collection and the huge amount of calculation have high technical entry barriers for ordinary units and individuals

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