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

作     者：黄冰 WANG Xiaohong 蒋萍 QIAO Jia HUANG Bing;WANG Xiaohong;JIANG Ping;QIAO Jia

作者机构：School of Chemistry and Chemical EngineeringUniversity of JinanJinan250022China School of Electrical EngineeringUniversity of JinanJinan250022China 

出 版 物：《Journal of Wuhan University of Technology(Materials Science)》 (武汉理工大学学报（材料科学英文版）)

年 卷 期：2022年第37卷第5期

页      面：900-904页

核心收录：

学科分类：07[理学] 08[工学] 070302[理学-分析化学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0714[理学-统计学（可授理学、经济学学位）] 0814[工学-土木工程] 0701[理学-数学] 

基　　金：Funded by the National Natural Science Foundation of China (No. 62073153) The Major Scientific and Technological Innovation Projects in Shandong Province (No.2019JZZY010448) The Key Research and Development Plan of Shandong Province of China (No.2019GSF109018)。 

主　　题：near infrared spectroscopy cement raw meal band selection detection model 

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 SiO_(2),Al_(2)O_(3),Fe_(2)O_(3) 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.