Pulverized coal classification method based on laser induced breakdown spectroscopy

A laser-induced breakdown and classification method technology, applied in the field of laser spectrum analysis, can solve the problems of multi-time, complicated operation, and cost, and achieve the effect of fast speed, high accuracy, and improved coal combustion efficiency

Inactive Publication Date: 2019-09-03
CHENGDU ALIEBN SCI & TECH CO LTD
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  • Application Information

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Problems solved by technology

However, the existing coal classification method is relatively complicated to operate and consumes a lot of time, which is not conducive to timely adjustment of industrial coal combustion parameters and improvement of coal combustion efficiency.

Method used

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  • Pulverized coal classification method based on laser induced breakdown spectroscopy
  • Pulverized coal classification method based on laser induced breakdown spectroscopy
  • Pulverized coal classification method based on laser induced breakdown spectroscopy

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0019] figure 1 It is a method flowchart of an embodiment of the present invention, comprising the following steps:

[0020] Step 101, making the pulverized coal sample into a sheet sample;

[0021] Specifically, weigh 1.0g pulverized coal sample and 0.5g boric acid; place the 1.0g pulverized coal sample and 0.5g boric acid in a ball mill and mix uniformly to obtain a mixed sample; press the mixed sample under a pressure of 60MPa to form The flake samples.

[0022] Step 102, acquiring the laser-induced breakdown spectrum of the sheet sample, the laser-induced breakdown spectrum including: characteristic lines of major elements, ash elements, and trace elements of the sheet sample;

[0023] Step 103, using a principal component analysis algorithm to extract the ...

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Abstract

The invention discloses a pulverized coal classification method based on a laser induced breakdown spectroscopy. The method comprises: preparing a sheet sample based on a pulverized coal sample; acquiring a laser induced breakdown spectroscopy, including characteristic spectral lines of a main element, an ash element, and a trace element of the sheet sample, of the sheet sample; on the basis of aprincipal component analysis algorithm, extracting peak intensity characteristic variables of the characteristic spectral lines; and according to the peak intensity characteristic variables, classifying the pulverized coal sample based on a K nearest neighbor classification algorithm. Therefore, the pulverized coal can be classified rapidly and accurately; and thus the industrial coal burning parameters can be adjusted timely and the coal burning efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of laser spectrum analysis, in particular to a pulverized coal classification method based on laser-induced breakdown spectrum. Background technique [0002] Laser Induced Breakdown Spectroscopy (LIBS) is essentially an atomic emission spectroscopy technique, which was first developed in the 1960s. This technology uses a high-energy pulsed laser to act on the surface of the sample to ablate the sample and excite it to generate plasma. During the quenching process, the plasma generates bremsstrahlung and simultaneously emits the characteristic spectral lines of the sample. By analyzing the wavelength and intensity of the characteristic spectral lines , to achieve qualitative and quantitative analysis of samples. Compared with other traditional analysis techniques, LIBS technology has many obvious advantages, such as simple and flexible equipment, no or only simple sample pretreatment, multi-element simultane...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/71
CPCG01N21/718
Inventor 杨燕婷韩小丹许涛段忆翔
Owner CHENGDU ALIEBN SCI & TECH CO LTD
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