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

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.