Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A kind of PM2.5 concentration prediction method and device

A concentration prediction and concentration technology, which is applied in prediction, data processing applications, instruments, etc., can solve the problems of low accuracy and low accuracy of prediction devices, and achieve the problems of improving accuracy, accurate four-dimensional space-time bandwidth, and solving non-stationarity Effect

Active Publication Date: 2021-04-16
HENAN UNIVERSITY OF TECHNOLOGY
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide a kind of PM2.5 concentration prediction method, in order to solve the problem of the low accuracy of existing prediction method; Also provide a kind of PM2.5 concentration prediction device at the same time, in order to solve the accurate low sex problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A kind of PM2.5 concentration prediction method and device
  • A kind of PM2.5 concentration prediction method and device
  • A kind of PM2.5 concentration prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Example of PM2.5 concentration prediction method:

[0049] The PM2.5 concentration prediction method that present embodiment proposes, comprises the following steps:

[0050] 1) Obtain historical data of PM2.5 concentration, historical meteorological data, and historical data of atmospheric aerosol optical thickness.

[0051] Different weather and different atmospheric aerosol optical depth (AOD data) will have different effects on PM2.5 concentration.

[0052] In this embodiment, the meteorological factors included in the historical meteorological data include air pressure (hPa), air temperature (°C), relative humidity (%), rainfall (mm), wind speed (km / h), and wind direction (°). However, wind speed, wind direction, and relative humidity have a greater impact on PM2.5 concentration, so it is also possible to only have wind speed, wind direction, and relative humidity in the meteorological historical data.

[0053] The historical data of PM2.5 concentration is detect...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a PM2.5 concentration prediction method and device, belonging to the technical field of PM2.5 concentration prediction. Wherein the method comprises the following steps: obtaining PM2.5 concentration historical data, meteorological historical data, atmospheric aerosol optical thickness historical data; obtaining two-dimensional position information, elevation information and sampling time information of observation points; determining the 4D-GTWR model according to the above data Parameters, so as to determine the 4D-GTWR model, the 4D-GTWR model is: according to the predicted meteorological data, atmospheric aerosol optical depth data and the determined 4D-GTWR model, predict the concentration of PM2.5. The 4D-GTWR model in this method provides an effective method in predicting PM2.5 concentration, making the prediction of PM2.5 concentration more accurate, and also solves the non-stationarity of four-dimensional space-time, and also verifies the effect of elevation information on PM2. 5 Concentration changes have important effects.

Description

technical field [0001] The invention relates to a PM2.5 concentration prediction method and device, belonging to the technical field of PM2.5 concentration prediction. Background technique [0002] Fine particulate matter (PM2.5) not only poses a serious threat to public health, but also seriously affects urban traffic and citizens' daily life. Therefore, PM2.5, as an air pollutant that directly affects human life and health, has attracted many scholars' attention. Extensive attention has been paid to PM2.5 related inversion research work to realize the prediction of PM2.5 concentration. [0003] There are many methods for predicting PM2.5 in the prior art, for example: the Chinese patent application document of application publication number CN106056210A discloses a PM2.5 concentration value prediction method based on a hybrid neural network, which uses PM2.5 concentration Value historical data, historical data of relevant indicators, meteorological historical data, and PM...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F30/20G06F17/15G06F17/16G06F17/18
CPCG06Q10/04G06Q50/26G06F17/15G06F17/16G06F17/18G06F30/20
Inventor 李卫东董立晔董前林赵晨曦张学海段金龙孟凡谦许向安张定文王雪志侯嘉润崔永成
Owner HENAN UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com