水泥生料成分的近红外光谱分析方法研究  

Research on near infrared spectroscopy analysis method for cement raw material composition

作　　者：王译那 郭迎庆[1] 王一帆[1] 肖航 赵志 张雷[3] WANG Yi-na;GUO Ying-qing;WANG Yi-fan;XIAO Hang;ZHAO-Zhi;ZHANG Lei(Nanjing Forestry University,Nanjing 210037,China;Shandong Normal University,Jinan 250358,China;Shandong University,Jinan)

机构地区：[1]南京林业大学,江苏南京210037 [2]山东师范大学,山东济南250358 [3]山东大学,山东济南250061

出　　处：《激光与红外》2024年第4期599-606,共8页Laser & Infrared

基　　金：江苏省双创博士项目(No.JSSCBS20220698);2023年度江苏省高等学校基础科学(自然科学)研究面上项目(No.23KJB130007);山东省自然科学基金青年基金(No.ZR2021QF135)资助。

摘　　要：水泥是一种重要的基础建筑材料,对社会生产有着重大的影响,实现水泥生料成分的快速检测对建筑行业的发展具有重大意义。本文基于近红外光谱分析方法研究了水泥生料中的Al_(2)O_(3)、Fe_(2)O_(3)成分的含量检测,首先通过联合X-Y距离划分法对样品集进行划分,然后对训练集采用不同光谱预处理方法进行处理,最后采用偏最小二乘回归和支持向量回归分别对近红外光谱数据建立预测模型,并对预测结果进行分析比较。研究结果表明,采用S-G平滑预处理和偏最小二乘回归建模的近红外光谱分析方法检测效果较佳,Al_(2)O_(3)检测模型的决定系数R2为0895,预测均方根误差(RMSEP)为0072;Fe_(2)O_(3)检测模型的决定系数R2为0732,RMSEP为0023。研究结果为水泥生料成分的检测提供了有效的分析方法,促进了水泥行业的进一步发展。Cement is an important basic building material that has a significant impact on social production.The rapid detection of cement raw material composition is of great significance for the development of the construction industry.The content detection of Al_(2)O_(3) and Fe_(2)O_(3) in cement raw meal based on near infrared spectral analysis method is performed.Firstly,the sample set is divided by the combined X Y distance division method.And the training set is processed by different spectral pretreatment methods.Finally,PLS and SVM are utilized to establish prediction models for NIR data respectively.The predicted results are analyzed and compared and the results show that the NIR analysis method using S-G smoothing pretreatment and PLS modeling has a better detection results.The decision coefficient R2 of the Al_(2)O_(3) detection model is 0.895,and the RMSEP is 0.072;the decision coefficient R2 of the Fe_(2)O_(3) detection model is 0.732,and the RMSEP is 0.023.The research results provide an effective analytical method for detecting the composition of cement raw materials,promoting the further development of the cement industry.

关 键 词：近红外光谱 水泥生料 成分检测 光谱预处理 预测模型 

分 类 号：TN219[电子电信—物理电子学] O433[机械工程—光学工程]