Rapid Detection of Cement Raw Meal Composition Based on Near Infrared Spectroscopy

被引:1
作者
Huang, Bing [1 ]
Wang, Xiaohong [2 ]
Jiang, Ping [2 ]
Qiao, Jia [2 ]
机构
[1] Jinan Univ, Sch Chem & Chem Engn, Jinan 250022, Peoples R China
[2] Jinan Univ, Sch Elect Engn, Jinan 250022, Peoples R China
基金
中国国家自然科学基金;
关键词
near infrared spectroscopy; cement raw meal; band selection; detection model; SELECTION; QUANTIFICATION; OPTIMIZES;
D O I
10.1007/s11595-022-2612-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The composition of cement raw materials was detected by near-infrared spectroscopy. It was found that the BiPLS-SiPLS method selected the NIR spectral band of cement raw materials, and the partial least squares regression algorithm was adopted to establish a quantitative correction model of cement raw materials with good prediction effect. The root-mean-square errors of SiO2, Al2O3, Fe2O3 and CaO calibration were 0.142, 0.072, 0.034 and 0.188 correspondingly. The results show that the NIR spectroscopy method can detect the composition of cement raw meal rapidly and accurately, which provides a new perspective for the composition detection of cement raw meal.
引用
收藏
页码:900 / 904
页数:5
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