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

Data calibration method for portable air quality monitor

A technology for monitoring data and air quality, which is applied in the field of data calibration of portable air quality monitors and can solve problems such as data discrepancies

Inactive Publication Date: 2020-06-09
WUHU INST OF TECH
View PDF13 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since this kind of monitor will have a certain zero point drift and range drift due to its own technical reasons, unconventional gaseous pollutants and weather factors will also affect the sensor, which will make the micro air quality monitor monitor at the same time There is a certain difference between the data of the country and the data of the country's control points

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
  • Data calibration method for portable air quality monitor
  • Data calibration method for portable air quality monitor
  • Data calibration method for portable air quality monitor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0075] As an implementation, the PM2.5, PM10, CO, NO 2 , SO 2 , O 3 The monitoring data of self-built points and the monitoring data of temperature, humidity, wind speed, air pressure, and precipitation are used as independent variables, and the PM2.5, PM10, CO, NO 2 , SO 2 , O 3 The calibration values ​​of the monitoring data are used as dependent variables, including:

[0076] use x 1 , x 2 ,...,x 6 Respectively represent the PM2.5, PM10, CO, NO of the national control point 2 , SO 2 , O 3 monitoring data;

[0077] use x 7 , x 8 ,...,x 11 Respectively represent the monitoring data of temperature, humidity, wind speed, air pressure, and precipitation meteorological indicators of self-built points;

[0078] use z j , j=1, 2, ..., 6 respectively represent self-built points PM2.5, PM10, CO, NO 2 , SO 2 , O 3 The calibration value of the monitoring data;

[0079] where x 1 , x 2 ,...,x 11 are independent variables, z j , j=1, 2, ..., 6 are dependent variabl...

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 discloses a data calibration method for a portable air quality monitor. Independent variables and dependent variables are set; an independent variable monitoring data matrix is constructed; a partial least squares regression model is creatively used for calibrating the air quality monitoring data; in view of diversity and cross influence of error factors generated by monitoring data,the advantages of principal component analysis, typical correlation analysis and a linear regression analysis method in multiple regression analysis are integrated; the calibrated data is compared with real data, the calibrated data has the advantages that absolute errors and overall relative errors are obviously reduced, the simulation is repeatable, the precision of the monitoring data is improved, calibrated data information can be obtained only by importing the monitoring data into a program of a computer through a USB interface, and the method is simple and easy to operate.

Description

technical field [0001] The invention relates to the technical field of air quality detection, in particular to a data calibration method for a portable air quality monitor. Background technique [0002] At present, the monitoring of air quality is usually through the "two dust and four gases" (PM2.5, PM10, CO, NO 2 , SO 2 , O 3 ) concentration monitoring to achieve. Generally, in a city, several monitoring points are selected as national monitoring and control stations, and relevant monitoring data are released at regular intervals. These data can more accurately reflect the air quality conditions around the monitoring points. However, due to the It is impossible to monitor and forecast the air quality in real time due to the lack of deployment and control of points, the time lag of data release, and the high cost. [0003] The portable miniature air quality monitor can conduct real-time grid monitoring of the air quality in a certain area, and can simultaneously monitor...

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 Applications(China)
IPC IPC(8): G01D18/00
CPCG01D18/00
Inventor 李艳午王佳欢刘有新
Owner WUHU INST OF TECH
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