Near Infrared Spectroscopic Modeling Method for Cement Raw Meal Components by Eliminating Background Moisture

doi:10.3964/j.issn.1000-0593(2020)04-1051-05

	Near Infrared Spectroscopic Modeling Method for Cement Raw Meal Components by Eliminating Background Moisture
	Hu Rong 1,2; Liu Wen-qing 2; Xu Liang 2; Jin Ling 2; Yang Wei-feng 2; Shen Xian-chun 2; Cheng Xiao-xiao 2; Wang Yu-hao 2; Hu Kai 2; Liu Jian-guo 2
刊名	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2020-04-01
卷号	40
关键词	Fourier transform infrared spectroscopy Cement samples Composition determination Elimination of background moisture
ISSN号	1000-0593
DOI	10.3964/j.issn.1000-0593(2020)04-1051-05
通讯作者	Xu Liang(xuliang@aiofm.ac.cn)
英文摘要	Fourier transform infrared (FTIR) spectroscopy has great potential for on-line analysis of cement raw meal components. As the air humidity on site is not stable due to the complex environment, it will cause interference to the on-line FTIR quantitative analysis of the four key components of Fe2O3, SiO2, CaO, Al2O3 in the raw material samples. In this paper, the online FTIR analyzer for raw meals was used to collect near-infrared spectra of raw meal cement samples under different humidity conditions. The influences of different humidity conditions on near-infrared quantitative analysis were analyzed, and a method of eliminating the background moisture interference was proposed. The specific researches were as follows : (1) Spectra of each 50 samples at two different humidity levels were analyzed. The results were that sample spectra at high humidity level compared to that at low humidity level were similar in shape, while the absorbance intensities were deceased overall and baselines were inclined. These demonstrated that background moisture affected the near-infrared spectra of the samples. (2) Two FTIR quantitative analysis models for samples under high humidity and low humidity conditions were established respectively, and the four component contents of 8 samples in prediction set under another humidity condition were predicted. The results were that the values of the correlation coefficient (r) between the content values of the four components predicted by model under high humidity condition and the standard values in the prediction set were 83. 74%similar to 92. 74% , and the values of the root mean square error (RMSE) were 0. 12 similar to 0. 83. The values of R obtained by model under low humidity condition were 67. 32 %similar to 82. 41% , and the values of RMSE were 0. 12 similar to 0. 84. These indicated that background moisture had affected the FTIR quantitative analysis of raw meal cement components. (3) In order to eliminate the influence of water absorption, the characteristic absorption of background moisture from the measured spectrum were removed refer to the mid-infrared spectroscopy technique. The FTIR quantitative analysis models under high humidity and low humidity conditions were established respectively, and the four components contents of samples in prediction set were predicted by these models. The results were as follows : (1) Under high humidity condition, the prediction accuracy of the model with eliminating moisture absorption was improved compared with model without eliminating moisture absorption, the predicted values of r were 90. 73%0 similar to 97. 76% , and the values of RMSE were 0. 12 similar to 0. 82, (2) Under low humidity condition, the prediction accuracy of model with eliminating moisture absorption was higher than that of model without eliminating moisture absorption, and the predicted values of r were 94. 07% similar to 98. 69% , the values of RMSE were 0. 12 similar to 0. 82, (3) The values of r obtained by models under high and low humidity conditions were above 90%. The experimental results showed that the method could effectively eliminate the influence of moisture absorption on the quantitative analysis model of raw material cement compositions. It provided the theoretical basis and technical support for the online analysis of raw material cement compositions based on FTIR technology.
WOS研究方向	Spectroscopy
语种	英语
出版者	OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号	WOS:000534352300011
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/103173]
专题	中国科学院合肥物质科学研究院
通讯作者	Xu Liang
作者单位	1.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Hu Rong,Liu Wen-qing,Xu Liang,et al. Near Infrared Spectroscopic Modeling Method for Cement Raw Meal Components by Eliminating Background Moisture[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2020,40.
APA	Hu Rong.,Liu Wen-qing.,Xu Liang.,Jin Ling.,Yang Wei-feng.,...&Liu Jian-guo.(2020).Near Infrared Spectroscopic Modeling Method for Cement Raw Meal Components by Eliminating Background Moisture.SPECTROSCOPY AND SPECTRAL ANALYSIS,40.
MLA	Hu Rong,et al."Near Infrared Spectroscopic Modeling Method for Cement Raw Meal Components by Eliminating Background Moisture".SPECTROSCOPY AND SPECTRAL ANALYSIS 40(2020).