Study on near-infrared spectroscopic detection of cement raw material components based on near-infrared spectroscopic detection technology

Cement is an irreplaceable building material for economic development and construction. Cement production is facing great challenges and therefore needs to be digitally transformed. As the first link in cement production, cement raw material plays an important role in subsequent production. In this paper, near-infrared spectroscopy detection technology is used to study the quantitative detection of cement raw material components, and the combination of BiPLS and selectivity ratio method is used to select the bands of near-infrared spectra of cement raw material and establish the detection model. It is shown that the RMSEP of this model is reduced by 49.20%, 39.17%, 20.00%, and 57.93%, respectively, compared with the detection models of the four components established by the original spectra. It provides theoretical support for the intelligentization of cement manufacture.