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Coal quality on-line detecting method based on dominating factor and combined with partial least squares method

A technology of partial least squares method and detection method, which is applied in material excitation analysis, thermal excitation analysis, etc., and can solve problems such as not considering physical laws and nonlinear effects.

Active Publication Date: 2011-04-06
TSINGHUA UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a coal quality detection method based on dominant factors combined with partial least squares correction for the shortcomings of PLS ​​analysis of LIBS spectra without consideration of physical laws and nonlinear effects, which can be used in laser-induced plasma The application on the spectral system solves the problem of online rapid analysis of coal quality

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  • Coal quality on-line detecting method based on dominating factor and combined with partial least squares method
  • Coal quality on-line detecting method based on dominating factor and combined with partial least squares method
  • Coal quality on-line detecting method based on dominating factor and combined with partial least squares method

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Embodiment

[0045] Embodiment: measure the mass concentration of carbon element in coal

[0046] A coal quality online detection and analysis method based on dominant factors combined with partial least squares method, which is characterized by:

[0047] 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 five coal samples are sample 1 containing 90.20% of C, 3.01% of H, 0.58% of N, and 0.20% of S ; Sample 2 contains C 81.55%, H 3.33%, N 1.30%, S 0.35%; Sample 3 contains C 67.28%, H 3.68%, N 1.05%, S 1.34%; Sample 4: C 60.03%, H 3.73% , N 1.04%, S 1.26%; sample 5: C 54.21%, H 2.53%, N 0.74%, S 6.60%. The effect of trace elements on the signal of the analyte is not considered here. 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, suc...

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Abstract

The invention discloses a coal quality on-line detecting method based on a dominating factor and combined with a partial least squares (PLS) method, which comprises the following steps of: firstly considering the self-absorption effect by using the intensity of spectral lines of a group of calibration coal samples; building a relation formula of elements to be tested and corresponding characteristic spectral lines thereof through the least squares method; then considering the mutual interference effect of the elements and modifying residual errors by using the intensity of the spectral lines of the other elements; and finally modifying the residual errors obtained in the last two steps through the PLS method, wherein the finally obtained formula improves the disadvantages of incapability of processing non-linearity effect and poor prediction accuracy of the PLS to a certain extent through combining the traditional fixed-quantity method of LIBS (Laser-induced Breakdown Spectroscopy) and the PLS. The method can explain the fixed-quantity information of element concentration by using the main characteristic spectral lines and can introduce a non-linearity form, thereby modifying the residual errors caused by calibration curve fitting by using a large amount of information in the spectral lines and avoiding the introduction of excessive noise signals, and reducing the influence on maternal effect at the same time so as to achieve the higher measurement accuracy.

Description

technical field [0001] The invention relates to an on-line detection method for coal based on a dominant factor combined with a partial least square method using laser-induced plasma spectroscopy (LIBS). Background technique [0002] In coal mines, coal plants, power plants and other coal-consuming units, the coal quality detection methods commonly used are off-line sampling and laboratory analysis. This method has complex procedures, long time consumption, poor sampling representativeness, and it is difficult to feedback various components of coal in time. However, coal users need to control the coal composition on the belt conveyor in time to guide production and control. So the traditional off-line measurement is difficult to adapt to the needs of industrial production. If it is possible to analyze the composition of coal on the conveyor belt in real time and online, it will be of great significance to coal consumers. [0003] At present, the technologies used in onlin...

Claims

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Application Information

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IPC IPC(8): G01N21/71
Inventor 李政王哲冯杰
Owner TSINGHUA UNIV
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