A New Calibrated Model of Coal Calorific Value Detection with LIBS
WANG Di1, 2, LU Ji-dong1, 2*, DONG Mei-rong1, 2, YAO Shun-chun1, 2, FAN Ju1, 2, TIAN Zhao-hua1, 2, WANG Lei1, LI Shi-shi1, 2
1. School of Electric Power of South China University of Technology，Guangzhou 510640，China 2. Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou 510640, China
Abstract：A set of coal samples were used for laser-induced breakdown spectroscopy (LIBS) experiment to measure the coal calorific value. Traditional channel normalization method didn’t consider the physical / chemical mechanism of coal, which would limit the model in precision, accuracy and repeatability. Thus a new calibrated model based on the kinds of the effects of spectral deviation was proposed in this paper. The model selected 19 groups of coal samples, where the random 15 groups were used to establish quantitative analysis model of calorific value while the remaining four for inspection and evaluation. The model based on spectral deviation factors, and the transmission theory combined with the stark broadening formula was used to deduce the absorption effect mechanism and the deviation correction method under the condition of LIBS. The mutual interference between elements and the mechanism of matrix effect were being analyzed while K coefficient method was used to correct mutual interference between the elements in the LIBS. The establishment of numerical model with the electron density, the plasma temperature and the element concentration was used to deeply corrected spectrum deviation caused by matrix effect. Thus taking into consideration of the effect of self-absorption, interfere of inter-elements and matrix effect, the calibration model was established, while R2=0.967, RMSEP=0.49 MJ·kg-1, RMSE=0.45 MJ·kg-1, MRE=2.42%, ARE=1.64%, RSD=5.79% and RSDP=8.10%. Compared with the 0.405, 8.28 MJ·kg-1, 4.14 MJ·kg-1, 22.85%, 52.48%, 18.28% and 32.85% of traditional channel normalized-multiple linear regression method, it demonstrated that the precision and accuracy have been improved significantly and model has good application value.
王 帝1, 2，陆继东1, 2*，董美蓉1, 2，姚顺春1, 2，樊 炬1, 2，田照华1, 2，王 磊1，李诗诗1, 2 . LIBS对煤中热值检测的新型校正模型 [J]. 光谱学与光谱分析, 2016, 36(08): 2607-2612.
WANG Di1, 2, LU Ji-dong1, 2*, DONG Mei-rong1, 2, YAO Shun-chun1, 2, FAN Ju1, 2, TIAN Zhao-hua1, 2, WANG Lei1, LI Shi-shi1, 2. A New Calibrated Model of Coal Calorific Value Detection with LIBS . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2607-2612.
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