Air quality forecasting system

Abstract

The application provides an air quality forecasting system which comprises an environment quality detection sensor and a cloud computing data processing platform, wherein the environment quality detection sensor is configured at a position of a pollution source and is used for acquiring air monitoring data and transmitting the acquired air monitoring data to a cloud computing data processing platform; and the cloud computing data processing platform is used for receiving the air monitoring data, predicting air quality of a monitored region by adopting an air quality prediction model based on a resource allocation neural network and a smooth support vector regression machine so as to obtain air quality predication data of each monitoring station, pushing the air quality predication data to an associated intelligent terminal, calculating correlation between the monitoring data of the pollution source and the air quality predication data of the monitoring stations according to the air monitoring data of the pollution source and the air quality prediction data of each monitoring station by utilizing a Gaussian point source diffusion model, and carrying out visualized presentation.

Description

technical field [0001] This application relates to the technical field of environmental quality monitoring, in particular to an air quality forecasting system. Background technique [0002] With the continuous development of industrialization, environmental pollution is becoming more and more serious, the concentration of fine particulate matter (PM2.5) in the air is getting higher and higher, and smog occurs frequently in many cities across the country. Many cities have fewer ambient air monitoring center sites, and the level of information technology is not developed enough to meet the public's needs for detailed understanding of air quality conditions. The importance of increasing the deployment of air monitoring stations and carrying out extensive air quality monitoring has become increasingly prominent. However, a set of traditional air quality monitoring instruments is very expensive. Building more environmental monitoring stations requires huge capital investment, and...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of industrialization, environmental pollution is becoming more and more serious, the concentration of fine particulate matter (PM2.5) in the air is getting higher and higher, and smog occurs frequently in many cities across the country. Many cities have fewer ambient air monitoring centers, and the level of informatization is not developed enough to meet the public's needs for detailed understanding of air quality.

The importance of increasing the deployment of air monitoring stations and carrying out extensive air quality monitoring has become increasingly prominent. However, a set of traditional air quality monitoring instruments is very expensi

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