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Proximate analyzing method for coal quality base on multivariate linear regression

A multiple linear regression and industrial analysis technology, applied in the direction of material excitation analysis, etc., can solve the problems of accuracy limitation of analysis results and other problems

Active Publication Date: 2012-01-11
SOUTH CHINA UNIV OF TECH +1
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Problems solved by technology

The application of LIBS technology in the online detection of coal quality industrial analysis indicators generally requires quantitative analysis to obtain the content of relevant elements according to the plasma spectral information, and then obtains the corresponding industrial analysis indicators through fitting correlation calculations. The accuracy of the analysis results is limited. big limit

Method used

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  • Proximate analyzing method for coal quality base on multivariate linear regression
  • Proximate analyzing method for coal quality base on multivariate linear regression
  • Proximate analyzing method for coal quality base on multivariate linear regression

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Embodiment Construction

[0037] combine figure 1 As can be seen from the shown flow chart, a kind of coal quality industrial analysis method based on multiple linear regression proposed by the present invention has included the following steps:

[0038] 1) First, a group of coal samples with known industrial analysis index values ​​are used for calibration, and the industrial analysis results of each coal sample are shown in the table below. The 20 coal samples were analyzed through the LIBS measurement system in sequence to obtain the laser plasma spectral data of different coal samples, and then the main elements C, H, O, N, S, Si, Line intensities corresponding to Al, Fe, Ca, Mg, K, Na and Ti, etc.

[0039] sample

Volatile matter / wt.%

Fixed carbon / wt.%

Moisture / wt.%

Ash / wt.%

1#

11.01

36.29

1.68

51.02

2#

26.05

39.78

1.90

32.27

3#

16.37

60.67

1.38

21.58

4#

28.12

56.6...

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Abstract

The invention discloses a proximate analyzing method for coal quality base on multivariate linear regression, The invention is characterized in that a set of samples with known proximate analysis index values is used, plasma spectrum data is obtained by detection of a coal quality on-line analysis system of LIBS (Laser-Induced Breakdown Spectroscopy), the proximate analysis of fire coal samples to be measured by a multivariate linear regression correlation of each proximate analysis index value are respectively established, the characteristic spectral line strength which has substantial contribution to proximate analysis index values is respectively introduced through the established multivariate linear regression correlation to obtain the proximate analysis results. According to the invention, the spectral line information of correlative elements which has substantial contribution to each proximate analysis index is comprehensively utilized, the process for analyzing the index by fire coal proximate analyzed by the LIBS can be simplified, and the speed and the accuracy of the quantitative analysis can be raised.

Description

technical field [0001] The invention relates to an industrial analysis method of coal quality, in particular to an industrial analysis method of coal quality based on multiple linear regression. Background technique [0002] In the coal utilization industry, the rapid detection of coal quality characteristics, especially industrial analysis indicators, is crucial to improving the utilization rate of coal resources and energy. The traditional detection method needs to analyze the raw coal offline in the laboratory after sampling. The entire analysis cycle generally takes several hours, which is difficult to meet the requirements of rapid detection of coal quality characteristics in industrial processes. [0003] With the development of technical optoelectronics and computer technology, some online coal quality analyzers have gradually appeared. At present, the representative coal quality rapid analysis devices on the market include coal quality analyzers based on X-ray fluore...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/63
Inventor 姚顺春陆继东陈世和董美蓉潘凤萍李军张曦李俊彦钟子铭卢伟业
Owner SOUTH CHINA UNIV OF TECH
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