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

Coal quality on-line detecting analytical method based on regression analysis

A regression analysis and analysis method technology, applied in material excitation analysis, fluorescence/phosphorescence, etc., can solve problems such as insufficient precision, large investment, and inability to achieve full element analysis.

Active Publication Date: 2009-08-19
TSINGHUA UNIV
View PDF0 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to design a coal quality detection method based on regression analysis, which can be used in laser induced breakdown The application on the spectral system solves the problem of online rapid analysis of coal quality

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
  • Coal quality on-line detecting analytical method based on regression analysis
  • Coal quality on-line detecting analytical method based on regression analysis
  • Coal quality on-line detecting analytical method based on regression analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] A method for online detection and analysis of coal quality based on regression analysis, characterized in that

[0077] 1) First, a group of anthracite coal samples with known mass concentrations of each element are used for calibration. The mass concentrations of the main elements of the coal samples are sample 1 containing 92.27% of C, 1.14% of H, 4.72% of O, and 0.88% of N. S 0.54%; Sample 2 contains C 95.76%, H 1.16%, O 2.37%, N 0.88%, S 0.32%; Sample 3 contains C 94.90%, H 1.18%, O 2.55%, N 0.72%, S 0.65% ;Sample 4: C 91.59%, H 4.04%, O 2.59%, N 1.46%, S 0.32%, because the mass concentration of trace elements is very small, for the convenience of explanation, the influence of trace elements on the signals of the measured elements is not considered here , of course, trace elements can also be considered according to actual measurement needs. Put five kinds of coal samples on the coal conveyor belt in turn, and use the laser-induced plasma spectroscopy system instal...

Embodiment 2

[0099] 1) First, a group of anthracite coal samples with known mass concentrations of each element are used for calibration. The mass concentrations of the main elements of the coal samples are sample 1 containing 92.27% of C, 1.14% of H, 4.72% of O, and 0.88% of N. S 0.54%; Sample 2 contains C 95.76%, H 1.16%, O 2.37%, N 0.88%, S 0.32%; Sample 3 contains C 94.90%, H 1.18%, O 2.55%, N 0.72%, S 0.65% ;Sample 4: C 91.59%, H 4.04%, O 2.59%, N 1.46%, S 0.32%, because the mass concentration of trace elements is very small, for the convenience of explanation, the influence of trace elements on the signals of the measured elements is not considered here , of course, trace elements can also be considered according to actual measurement needs. Put five kinds of coal samples on the coal conveyor belt in turn, and use the laser-induced plasma spectroscopy system installed on the coal conveyor belt to detect the coal samples online, such as figure 1 As shown: the pulsed laser 1 is used a...

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 an online coal property detecting and analyzing method, which is based on regression analysis, utilizes a spectral line intensity group of calibration coal samples and builds the following two calibration curves of all elements through the least square method: C equals to aI plus e, and C equals to AI plus summation of *BC plus Dg(C) plus E. In the detection of samples of unknown coal flows to be detected, first-time computed mass concentration of each element is computed by characteristic spectral line intensity of laser-induced plasma of each element, and the mass concentration of an element to be detected is calculated according to the calibration curves; alternatively, calibration of carbon element is implemented for two times, second-time computed mass concentration of each element is calculated, and then the mass concentration of the element to be detected is calculated according to the calibration curves. The online coal property detecting and analyzing method utilizes all the information of LIBS spectrum, avoids errors caused by complex calibrating methods, reduces the influence of maternal effect, has quick calibrating speed and high precision, can realize online coal full-element analysis, and can provide the real-time data of coal elements for users.

Description

technical field [0001] The invention relates to an online detection and analysis method for coal. Specifically, the basic principle of the method is laser-induced plasma spectroscopy (LIBS), which is based on the least squares method in regression analysis for quantitative analysis of coal elements. Background technique [0002] In coal mines, coal plants and power plants and other coal-consuming units, it is necessary to control the various components of the coal on the belt conveyor in time according to the needs, so as to adjust and control in a timely manner, which requires real-time online analysis of the coal on the conveyor belt. Most of the commonly used methods are offline analysis. This method has disadvantages such as poor sampling and sample preparation, slow analysis speed, and cumbersome procedures. It cannot provide timely feedback of coal information and cannot provide real-time online reference data for operators. It is difficult to meet the needs of indust...

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): G01N21/64
Inventor 李政王哲冯杰
Owner TSINGHUA 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