發(fā)布時間：2018-04-25 12:34

  本文選題：塑鋼窗 + 拉曼光譜��； 參考：《化學研究與應用》2017年09期

【摘要】：應用拉曼光譜法并結(jié)合聚類分析對26種不同品牌、廠家、型號的塑鋼窗進行了深入的檢驗研究。采用顯微激光拉曼光譜分析技術(shù)分別對樣品進行檢測,得到在780nm激光光源的一階導數(shù)擴展拉曼光譜中,塑鋼窗的光譜形態(tài)差異顯著,熒光背景干擾弱,重疊的譜峰得到有效的分離,可構(gòu)建具有高鑒別能力的聚類分析模型,采集光譜數(shù)據(jù)將其定量化,選擇離差平方和法作為類間距離,采用歐氏距離作為度量區(qū)間表征樣品之間的親疏程度,進行系統(tǒng)聚類分析,同時結(jié)合多種方法驗證衡量聚類效果,成功將26種塑鋼窗樣本分為了18類,實現(xiàn)了基于全波段光譜信息結(jié)合系統(tǒng)聚類分析建立模型用于準確鑒定塑鋼窗種類的目的,為現(xiàn)場物證的區(qū)分檢驗方法提供了一定的理論依據(jù)。
[Abstract]:Raman spectroscopy and cluster analysis were used to examine 26 different brands, manufacturers and models of plastic and steel windows. In the first derivative extended Raman spectroscopy of the 780nm laser source, the spectral morphology of the plastic window was significantly different, and the fluorescence background interference was weak. The overlapping spectral peaks can be separated effectively, and a cluster analysis model with high discriminant ability can be constructed. The spectral data are collected and quantified, and the deviation square sum method is chosen as the inter-class distance. Euclidean distance is used to measure the degree of familiarity between samples, and the cluster analysis is carried out systematically. At the same time, 26 kinds of plastic window samples are divided into 18 categories successfully. The purpose of establishing a model based on the full band spectral information and cluster analysis system to accurately identify the type of plastic and steel window is realized, which provides a certain theoretical basis for the method of distinguishing and checking the material evidence in the field.
【作者單位】： 中國人民公安大學刑事科學技術(shù)學院;云南大學信息學院;四川警察學院刑事科學技術(shù)系;
【分類號】：D918.9;O657.37
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本文編號：1801354