Study on LIBS system for high-precision coal components rapid and quantitative analysis

Shulin LIU; Meng WANG; An LI; Ying ZHANG; Xiaodong LIU; Ruibin LIU

doi:10.37188/OPE.20243210.1470

Optics and Precision Engineering, Volume. 32, Issue 10, 1470(2024)

Study on LIBS system for high-precision coal components rapid and quantitative analysis

Shulin LIU1... Meng WANG1, An LI2, Ying ZHANG2, Xiaodong LIU2 and Ruibin LIU2,* |Show fewer author(s)

Author Affiliations

¹School of Mechanical Engineering， Xi’an University of Science and Technology， Xian70054， China

²School of Physics， Beijing Institute of Technology， Beijing100081， China

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Figures & Tables(15)

Fig. 1. Laser induced breakdown technology coal quality rapid analyzer

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Fig. 2. Influence of selecting the number of principal components n_pcin the process of establishing a coal parameter prediction model based on PCA on the prediction score of the test set. （Left） Determination coefficient R² （Right） Root mean square error RMSE of prediction results

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Fig. 3. Using LIBS industrial on-site equipment to collect coal spectral data and establish a quantitative analysis model

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Fig. 4. Validation results of the coal quality rapid quantitative analysis equipment model

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Fig. 5. System stability test， the baseline of the bar graph is the true value of the corresponding sample， and the black dashed line in the subgraph identifies the position of ± 1 wt.%

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Fig. 6. System stability test， the baseline of the bar graph is the true value of the corresponding sample

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Table 1. Evaluation results of the effectiveness of prediction models for various parameters of coal quality
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Table 1. Evaluation results of the effectiveness of prediction models for various parameters of coal quality
0 固定碳灰分挥发分硫热值
测试集 R² 0.960 0 0.989 2 0.929 2 0.987 6 0.933 3
RMSE 1.326 9 0.971 2 1.036 8 0.024 6 0.674 0

Table 2. Statistics of stability test results

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Table 2. Statistics of stability test results

参数		W1	W2	W3	W4	W5
固定碳/%	真值	52.55	60.22	55.99	57.03	56.88
	平均值	51.74	60.39	55.79	56.89	57.25
	s	0.72	0.66	0.60	0.64	0.62
灰分/%	真值	19.71	11.02	11.71	8.77	8.53
	平均值	19.40	11.46	11.64	8.79	8.74
	s	0.19	0.82	0.13	0.29	0.70
硫/%	真值	0.33	0.91	0.42	0.96	0.80
	平均值	0.34	0.92	0.39	0.96	0.78
	s	0.04	0.03	0.05	0.08	0.03
热值（MJ·kg^-1）	真值	26.47	29.65	28.36	31.35	29.43
	平均值	26.44	31.67	28.37	31.31	29.48
	s	0.15	0.12	0.09	0.09	0.13

Table 3. Comparison of dynamic precision experimental records-ash gradient Ⅰ
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Table 3. Comparison of dynamic precision experimental records-ash gradient Ⅰ
序号分析仪示值 A_i 参比值R_i 分析仪示值与参比值之差d_i
合计 51.24 52.16 1.12
1 6.39 6.52 0.13
2 6.40 6.52 0.12
3 6.44 6.52 0.08
4 6.54 6.52 0.02
5 6.47 6.52 0.05
6 6.60 6.52 0.08
7 6.12 6.52 0.40
8 6.28 6.52 0.24

Table 4. Comparison of dynamic precision experimental records-ash gradient Ⅱ

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Table 4. Comparison of dynamic precision experimental records-ash gradient Ⅱ

序号	分析仪示值 A_i	参比值R_i	分析仪示值与参比值之差d_i
合计	198.78	199.68	2.36
1	24.76	24.96	0.20
2	24.81	24.96	0.15
3	24.63	24.96	0.33
4	24.36	24.96	0.60
5	25.10	24.96	0.14
6	25.52	24.96	0.56
7	24.61	24.96	0.35
8	25.00	24.96	0.04

Table 5. Comparison of dynamic precision experimental records-ash gradient Ⅲ

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Table 5. Comparison of dynamic precision experimental records-ash gradient Ⅲ

序号	分析仪示值 A_i	参比值R_i	分析仪示值与参比值之差d_i
合计	354.85	359.04	4.65
1	44.45	44.88	0.43
2	44.87	44.88	0.01
3	44.87	44.88	0.01
4	43.79	44.88	1.09
5	44.24	44.88	0.64
6	44.17	44.88	0.71
7	43.35	44.88	1.53
8	45.11	44.88	0.23

Table 6. Record of dynamic precision experiment-gradient total sulfur Ⅰ

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Table 6. Record of dynamic precision experiment-gradient total sulfur Ⅰ

序号	分析仪示值 A_i	参比值R_i	分析仪示值与参比值之差d_i
合计	4.132	5.20	1.07
1	0.615	0.65	0.03
2	0.589	0.65	0.06
3	0.500	0.65	0.15
4	0.509	0.65	0.14
5	0.448	0.65	0.20
6	0.548	0.65	0.10
7	0.493	0.65	0.16
8	0.431	0.65	0.22

Table 7. Record of dynamic precision experiment-gradient total sulfur Ⅱ

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Table 7. Record of dynamic precision experiment-gradient total sulfur Ⅱ

序号	分析仪示值 A_i	参比值R_i	分析仪示值与参比值之差d_i
合计	10.444	10.72	0.52
1	1.301	1.34	0.04
2	1.365	1.34	0.03
3	1.285	1.34	0.05
4	1.331	1.34	0.01
5	1.293	1.34	0.05
6	1.267	1.34	0.07
7	1.165	1.34	0.18
8	1.438	1.34	0.10

Table 8. Prediction error evaluations of various major industrial parameters under different content ranges

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Table 8. Prediction error evaluations of various major industrial parameters under different content ranges

不同浓度的样本	灰分梯度Ⅰ	梯度灰分Ⅱ	梯度灰分Ⅲ	梯度全硫Ⅰ	梯度全硫Ⅱ
方差	0.015 6	0.041 2	0.280 4	0.004 1	0.002 7
标准差	0.124 7	0.202 9	0.529 5	0.064 3	0.052 2
精密度	0.320 6	0.521 4	1.360 8	0.165 3	0.134 2
准确度	0.139 5	0.295 3	0.581 7	0.133 5	0.065 3

Table 9. Summary of Dynamic Precision Comparison Data

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Table 9. Summary of Dynamic Precision Comparison Data

项目		LIBS		人工		中子
项目		重复性	再现性	重复性	再现性	重复性	再现性
灰分/%	≤15	0.32	0.14	0.2	0.3	1	1.2
	15~30	0.52	0.29	0.3	0.5	1.2	1.6
	≥30	1.36	0.58	0.5	0.7	2	1.5
挥发分/%	-	0.55	0.31	-	-	-	-
全硫/%	-	0.15	0.15	0.1	0.2	0.3	0.3
热值/（MJ·kg^-1）	-	0.4	0.45			0.45	0.6

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Shulin LIU, Meng WANG, An LI, Ying ZHANG, Xiaodong LIU, Ruibin LIU. Study on LIBS system for high-precision coal components rapid and quantitative analysis[J]. Optics and Precision Engineering, 2024, 32(10): 1470

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