本文選題：時間分辨熒光光譜　切入點：油熒光分類　出處：《光學精密工程》2017年04期

【摘要】：激光誘導熒光技術可廣泛應用于油污染的監(jiān)測中,然而普通的油熒光光譜技術只能實現油污染監(jiān)測的粗分類,無法區(qū)分原油與燃料油的熒光特征。本文基于主成分分析方法(PCA)的時間分辨油熒光分類方法,實驗測量了20種油樣本的時間分辨熒光光譜特征,給出了對應的熒光壽命和時間分辨油熒光光譜的時序特征。在此基礎上,利用前三個主成分構成的三維特征矢量空間,通過分析不同采集時刻下油樣本矢量間相關距離的變化,對油樣本的時間分辨熒光光譜進行聚類分析。為了體現油熒光變化的時序性,引入矢量距離的離散度參量,提出基于PCA進行時間分辨油熒光光譜分析的優(yōu)化方法。實驗結果表明,基于時間分辨油熒光光譜識別可實現原油與燃料油的光譜時序特征區(qū)分,具備良好的油熒光分類效果。
[Abstract]:Laser induced fluorescence technology can be widely used in oil pollution monitoring, but ordinary oil fluorescence spectroscopy can only realize the crude classification of oil pollution monitoring, and can not distinguish the fluorescence characteristics between crude oil and fuel oil.Based on the time-resolved oil fluorescence classification method based on principal component analysis (PCA), the time-resolved fluorescence spectrum characteristics of 20 kinds of oil samples were measured experimentally, and the corresponding fluorescence lifetime and time-resolved oil fluorescence spectrum timing characteristics were given.On this basis, the time-resolved fluorescence spectra of oil samples were analyzed by using the three dimensional feature vector space of the first three principal components, and by analyzing the variation of the correlation distance between the oil samples at different sampling times.In order to reflect the timing of oil fluorescence variation, an optimized method of time-resolved oil fluorescence spectrum analysis based on PCA was proposed by introducing the dispersion parameter of vector distance.The experimental results show that the time-resolved oil fluorescence spectrum recognition can realize the spectral time series distinction between crude oil and fuel oil, and has a good oil fluorescence classification effect.
【作者單位】： 中國海洋大學信息科學與工程學院;國家海洋局第一海洋研究所;中國科學院海洋研究所;
【基金】：國家自然科學基金資助項目(No.61505221) 國家海洋局國際海洋合作與履約項目(No.QY0516014) 中央級公益性科研院所基本科研業(yè)務費專項資金資助項目(No.0215G20)
【分類號】：X834;X55
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本文編號：1726696