A Measuring Method of Coal Quality Characteristics Based on Wavelet Transform

A measurement method and wavelet transform technology, which is applied in the field of atomic emission spectrometry, can solve problems such as noise interference, achieve the effects of eliminating noise interference, strong denoising targeting, and improving calibration performance and prediction performance

Active Publication Date: 2016-02-24
TSINGHUA UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to propose a method for online measurement of coal quality characteristics based on wavelet transform, aiming at the problem of noise interference in the LIBS spectrum during the modeling process of partial least squares method, the present invention uses the method of wavelet transform to perform LIBS signal Denoising processing to improve the measurement accuracy of the partial least squares model of coal quality properties

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  • A Measuring Method of Coal Quality Characteristics Based on Wavelet Transform
  • A Measuring Method of Coal Quality Characteristics Based on Wavelet Transform
  • A Measuring Method of Coal Quality Characteristics Based on Wavelet Transform

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Embodiment 1

[0071] Taking the measurement of carbon element content in coal as an example, a method for measuring coal quality characteristics based on wavelet transform is described below: the method includes the following steps:

[0072] 1) A group of coal samples with known carbon content are used as calibration samples, and the carbon content of each calibration sample is shown in Table 1;

[0073] Table 1 Carbon content of each calibration sample

[0074]

[0075] 2) Use the laser-induced plasma spectroscopy system to detect each calibration sample, and obtain the characteristic spectrum diagram of all calibration samples, which includes the characteristic spectral line intensity data of each element in the calibration sample and the data obtained by the environment. Characteristic spectral line intensity data composed of noise and continuous background noise;

[0076] 3) Carry out the first wavelet transformation on the spectral line intensity data in the characteristic spectrog...

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Abstract

The invention discloses a coal property measuring method based on wavelet transform. The method comprises the following steps: firstly, detecting a coal calibration sample with known coal property by using an LIBS (Laser Induced Breakdown Spectroscopy) system, then performing wavelet de-noising processing on an LIBS spectrum obtained by detecting and obtaining a processed wavelet coefficient, and establishing a partial least square calibration model by taking the processed wavelet coefficient as an independent variable and taking a coal property value of the calibration sample as a dependent variable; and performing the wavelet de-noising processing on the LIBS spectrum of the sample to be measured, substituting the wavelet coefficient into the partial least square calibration model and calculating a coal property result of the sample to be measured. Through the method, environment noises and background noises are separated from original signals by using a wavelet tool, so that the interference of the LIBS analysis caused due to the noise is reduced, a signal to noise ratio of a characteristic spectral line is increased, and the measurement precision of the calibration model is also improved.

Description

technical field [0001] The invention relates to a method for measuring coal quality characteristics, belonging to the technical field of atomic emission spectrometry. Specifically, the basic principle of this method is to realize the online detection method of coal quality based on laser-induced plasma spectroscopy (LIBS for short). Background technique [0002] In coal mines, coal plants and power plants and other coal-consuming units, real-time adjustment of working parameters according to different coal quality components is conducive to improving combustion efficiency, saving energy and reducing pollutant emissions. However, the traditional coal quality analysis methods mostly use off-line analysis, which has the disadvantages of poor sampling and sample preparation, slow analysis speed, and cumbersome procedures. Therefore, coal users are in urgent need of a coal quality online rapid detection method with high precision and full element analysis. [0003] At present, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/63
Inventor 王哲袁廷璧李政
Owner TSINGHUA UNIV
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