Pollution source identification method based on correlation coefficient and monitoring stationing method

A technology of correlation coefficient and identification method, which is applied to the identification of the release position of unknown pollution sources in indoor space and the field of inverse problem identification, which can solve problems such as rough calculation accuracy, and achieve the effect of reducing the number of points, increasing the accuracy and reducing the harm.

Inactive Publication Date: 2013-03-13
TIANJIN UNIV
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods all use multi-region mathematical models when identifying pollutant release information, and t

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
  • Pollution source identification method based on correlation coefficient and monitoring stationing method
  • Pollution source identification method based on correlation coefficient and monitoring stationing method
  • Pollution source identification method based on correlation coefficient and monitoring stationing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The technical scheme of the pollution source identification based on the correlation coefficient and the improved high-efficiency point distribution identification method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation scenarios:

[0046] For example, the recognized object is a three-dimensional conference room. established as figure 1 The three-dimensional model of the conference room shown has a length (X)×width (Y)×height (Z) of 9m×4m×3.2m, and there are two air inlets 3 (0.4m×0.4m) on the top of the room. The air volume is 0.128m 3 / s; in the middle of the top of the room is the air outlet 2 (0.8m×0.4m), and the wall of the indoor space is set as a non-slip adiabatic wall; In a fixed position, the height of sitting and standing is 1m, and there is a corresponding desk in front of each person with a height of 0.6m. The simulated potential source of virus infection is located in the...

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 pollution source identification method based on correlation coefficient. The pollution source identification method comprises two processes of database creating and identifying. The database creating process comprises the following steps of: configuring a sensor monitoring point; dividing a space region and supposing positions of unknown sources; stimulating releasing processes of the unknown sources; acquiring concentration information of all the released unknown sources; and creating a database of the positions and the concentration information the unknown sources. The identifying process comprises the following steps of: adopting concentration information relevancy matching and nearest neighbor rules, when real pollution occurs, finding out a position point with the largest relevancy in the database by a relation coefficient analysis method based on the concentration information of pollutant, and the position point is a pollution source releasing point. According to a monitoring stationing method of the pollutant, different stationing principles are adopted aiming at feature regions of strong and weak convective regions; compared with the prior art, according to the pollution source identification method based on the correlation coefficient, the identification efficiency and accuracy are improved, according to the monitoring stationing method of the pollutant, the number of stationed points is reduced, and the monitoring stationing method of the pollutant is the high efficient stationing method; and the foundation is established for the pollution source identification method provided by the invention.

Description

technical field [0001] The invention relates to the field of inverse problem source identification, in particular to the field of identification of release positions of unknown pollution sources in indoor spaces. Background technique [0002] The identification of unknown sources has been studied in the fields of heat transfer, groundwater pollution transmission, and air pollution transmission. With the outbreak of SARS and other epidemics and the leakage of harmful gases, the problem of indoor air pollution has been paid more and more attention. The identification of indoor pollutant release information has become the focus of research. Quickly and accurately determining the release information of pollution sources is important for effective Response measures to reduce personal injury and property loss are of great significance. [0003] There have been many studies on the identification of unknown indoor pollution sources. Sohn et al. (Reference [1]) and Sreedharan et al....

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
IPC IPC(8): G01N33/00G06F17/50
Inventor 尤学一王淋淋
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products