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

被引：0

作者：

Bing Huang

Xiaohong Wang

Ping Jiang

Jia Qiao

机构：

[1] University of Jinan,School of Chemistry and Chemical Engineering

[2] University of Jinan,School of Electrical Engineering

来源：

Journal of Wuhan University of Technology-Mater. Sci. Ed. | 2022年 / 37卷

关键词：

near infrared spectroscopy; cement raw meal; band selection; detection model;

D O I：

暂无

中图分类号：

学科分类号：

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

页码：900 / 904

页数：4

共 22 条

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