激光诱导击穿光谱
元素分析
重复性
煤
分析化学(期刊)
燃烧热
偏最小二乘回归
光谱学
硫黄
化学
材料科学
环境化学
燃烧
冶金
色谱法
计算机科学
物理
有机化学
量子力学
机器学习
作者
Zhihui Tian,Xin Li,Gang Wang,Lei Zhang,Jiaxuan Li,Shuqing Wang,Yu Bai,Wanfei Zhang,Yuexin Han,Xiaofei Ma,Wangbao Yin,Suotang Jia
出处
期刊:Plasma Science & Technology
[IOP Publishing]
日期:2022-07-06
卷期号:24 (8): 084007-084007
被引量:7
标识
DOI:10.1088/2058-6272/ac78ca
摘要
Abstract Although laser-induced breakdown spectroscopy (LIBS), as a fast on-line analysis technology, has great potential and competitiveness in the analysis of chemical composition and proximate analysis results of coal in thermal power plants, the measurement repeatability of LIBS needs to be further improved due to the difficulty in controlling the stability of the generated plasmas at present. In this paper, we propose a novel x-ray fluorescence (XRF) assisted LIBS method for high repeatability analysis of coal quality, which not only inherits the ability of LIBS to directly analyze organic elements such as C and H in coal, but also uses XRF to make up for the lack of stability of LIBS in determining other inorganic ash-forming elements. With the combination of elemental lines in LIBS and XRF spectra, the principal component analysis and the partial least squares are used to establish the prediction model and perform multi-elemental and proximate analysis of coal. Quantitative analysis results show that the relative standard deviation (RSD) of C is 0.15%, the RSDs of other elements are less than 4%, and the standard deviations of calorific value, ash content, sulfur content and volatile matter are 0.11 MJ kg −1 , 0.17%, 0.79% and 0.41% respectively, indicating that the method has good repeatability in determination of coal quality. This work is helpful to accelerate the development of LIBS in the field of rapid measurement of coal entering the power plant and on-line monitoring of coal entering the furnace.
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