基于红外光谱技术的沥青质量现场检测  

Field detection of asphalt quality by infrared spectroscopy

作　　者：马子嵘 Ma Zirong(Fujian Provincial Transportation Research Institute Co.,Ltd.,Research and Development Center of Transport Industry of New Materials and Technologies Application for Highway Construction and Maintenance of Offshore Areasl,Fuzhou 350004,China)

机构地区：[1]福建省交通科研院有限公司,近海公路建设与养护新材料新技术应用交通运输行业研发中心,福州350004

出　　处：《分析仪器》2022年第1期75-82,共8页Analytical Instrumentation

基　　金：福建省交通运输科技项目(201812、202014)。

摘　　要：从沥青红外谱图与标准谱图的相似度出发,通过对红外谱图计算PCA得分和峰面积,再通过欧式距离、马氏距离、余弦相似度、皮尔森相似度4个方法,对入库样本与标准谱图进行比对;根据模型结果与分析,选定吸光度PCA得分的余弦相似度和皮尔森相似度两个指标及合格阈值作为基质沥青质量监测的标准,并将算法代码部署在沥青标准光谱分析系统中,实现待测谱图的输入、PCA得分计算、质量是否合格的结果输出。The PCA score and peak area of the infrared spectrum of asphalt are calculated first, then the four indexes of Euclidean distance, Markov distance, cosine similarity and Pearson similarity between asphalt infrared spectrum and standard spectrum are compared. According to the model results and analysis conclusions, two indexes of the cosine similarity and Pearson similarity of absorbance PCA score and the qualified threshold are selected as the standards for quality monitoring of brand(FREP) basis bitumen. The algorithm code is deployed in the asphalt standard spectral analysis system to realize the input of the spectrum to be measured, the calculation of PCA score and the output of the result whether the quality is qualified or not.

关 键 词：光谱分析 质量控制 相似度 

分 类 号：U415.12[交通运输工程—道路与铁道工程] O657.33[理学—分析化学]