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

A PM2.5 Concentration Estimation Method Based on Vehicle-mounted Data Acquisition Technology

A data acquisition, vehicle-mounted technology, applied in electrical digital data processing, special data processing applications, computing, etc., can solve the problems of low data area coverage, high cost of monitoring equipment, difficult measurement, etc., to achieve easy deployment, price Inexpensive and stable

Active Publication Date: 2017-12-05
HANGZHOU DIANZI UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] One of the current PM2.5 concentration estimation methods is to set fixed PM2.5 monitoring points in the area to be estimated, and use the data measured by the monitoring points as the PM2.5 concentration in the area. This PM2.5 concentration estimation method data The area coverage is low, the accuracy is low, and the cost of monitoring equipment is high; the other is to collect PM2.5 concentration in a certain area in a mobile way, and then combine precipitation, wind, environment and other external factors to establish a PM2.5 estimation model to estimate Regional PM2.5 concentration, this method is difficult to measure, complex to calculate, and difficult to operate

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 PM2.5 Concentration Estimation Method Based on Vehicle-mounted Data Acquisition Technology
  • A PM2.5 Concentration Estimation Method Based on Vehicle-mounted Data Acquisition Technology
  • A PM2.5 Concentration Estimation Method Based on Vehicle-mounted Data Acquisition Technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with accompanying drawing.

[0035] The specific steps of the PM2.5 grid concentration estimation method based on vehicle-mounted data acquisition technology are:

[0036] Step (1), using the vehicle-mounted dust collection equipment to collect the original PM2.5 concentration data. Such as figure 1 As shown, the urban area is gridded, and the vehicle equipped with dust collection equipment collects the PM2.5 concentration data in the urban area and transmits it to the server through the GPRS network. Such as figure 2 As shown, the grid with a circle means that the test vehicle has passed the grid, that is, the grid has PM2.5 concentration data coverage, and the grid without circles means that the grid has no PM2.5 concentration data coverage.

[0037] Step (2), using the collected original PM2.5 concentration data to establish a probability transition matrix model. This step consists of the follo...

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 estimation method based on vehicle-mounted data acquisition technology. In the present invention, firstly, the vehicle-mounted dust collection equipment is used to collect the original PM2.5 concentration data, and then the collected original PM2.5 concentration data is used to establish a probability transfer matrix model, and then the probability transfer matrix is ​​used to estimate the concentration of the grid data missing points, and finally The estimation results of PM2.5 concentration in urban areas are obtained. The method of the invention has high data coverage and is convenient to deploy, and the method of the invention is used to estimate the PM2.5 concentration with high precision and good stability.

Description

technical field [0001] The invention relates to wireless sensing technology, computer application technology and data completion technology, and is a PM2.5 concentration estimation method based on vehicle-mounted data collection technology. Background technique [0002] PM2.5 refers to particulate matter in the ambient air with a kinetic equivalent diameter less than or equal to 2.5 microns. It has small particle size, large area, strong activity, easy to be accompanied by toxic and harmful substances, and has a long residence time in the atmosphere and a long transmission distance. It has a huge impact on human health and atmospheric environmental quality, so the monitoring and estimation of PM2.5 concentration has become a hot topic in today's society. [0003] One of the current PM2.5 concentration estimation methods is to set fixed PM2.5 monitoring points in the area to be estimated, and use the data measured by the monitoring points as the PM2.5 concentration in the ar...

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): G06F19/00
Inventor 樊谨胡译丹张桦戴国骏郭鸿杰
Owner HANGZHOU DIANZI UNIV
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