Abstract:A novel method for fast recognition of gasoline brands based on the Raman spectroscopy is presented. A classification model on the basis of product gasoline samples with known brands was established. The detailed modeling process includes measurement and pretreatment of Raman spectra of these samples, principal component analysis (PCA) to obtain loading vectors and score vectors of all known samples, and calculating each average score vector for all of the samples with the same brand. For a gasoline sample with unknown brand, first measure and preprocess its Raman spectrum with the same pretreatment algorithm, then calculate its score vector on the above loading vectors and its distances to the average score vectors for different brands, and finally determine the brand of the unknown sample by the minimum distance. For 45 product gasoline samples from different refinery, experimental results show that there are significant distances between different brands in the principal component space, and the above classification model can decide the brand of unknown gasoline samples rapidly and accurately.
李 晟,戴连奎* . 基于拉曼光谱的汽油牌号快速识别 [J]. 光谱学与光谱分析, 2010, 30(11): 2993-2997.
LI Sheng, DAI Lian-kui* . Fast Recognition of Gasoline Brands Based on the Raman Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(11): 2993-2997.
[1] General Adminstration of Quaervision, Inspection and Quarantine of the People’s Republic of China(中国国家技术监督局). Test Method for Knock Characteristics of Motor Fuels and Aviation Fuels by the Motor Method(GB/T 503—1995汽油辛烷值测定法(马达法)). Beijing: Standards Press of China(北京:中国标准出版社), 1995. [2] General Adminstration of Quaervision, Inspection and Quarantine of the People’s Republic of China(中国国家技术监督局). Test Method for Knock Characteristics of Motor Fuels by the Research Method(GB/T 5487—1995汽油辛烷值测定法(研究法)). Beijing: Standards Press of China(北京:中国标准出版社), 1995. [3] LU Wan-zhen(陆婉珍). Modern Near Infrared Spectroscopy Analytical Technology, Second Edition(现代近红外光谱分析技术,第2版). Beijing:China Petrochemical Press(北京:中国石化出版社), 2007. [4] Balabin R M, Safieva R Z. Fuel, 2008, 87(7): 1096. [5] ZHANG Qi-ke, DAI Lian-kui(张其可,戴连奎). Control and Instruments in Chemical Industry(化工自动化及仪表), 2005, 32(4): 53. [6] Ewen S, Geoffrey D. Modern Raman Spectroscopy-A Practical Approach. New York: John Wiler & Sons, 2005. [7] Park C, Kim K, Choi J, et al. Physiological Measurement, 2007, 28(5): 583. [8] Kathryn Y N, Lindsey A T, Owen S F, et al. Applied Spectroscopy, 2009, 63(7): 742. [9] Stone N, Kendall C, Shepherd N, et al. Journal of Raman Spectroscopy, 2002, 33(7): 564. [10] Osticioli I, Mendes N F C, Nevin A, et al. Spectrochimica Acta Part A, 2009, 73(3): 525. [11] Furukawa T, Watari M, Siesler H W, et al. Journal of Applied Polymer Science, 2003, 87(4): 616. [12] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立,袁洪福,陆婉珍). Progress in Chemistry(化学进展), 2004, 16(4): 528. [13] QIN Xu-song, DAI Lian-kui(覃旭松,戴连奎). Control and Instruments in Chemical Industry(化工自动化及仪表), 2004, 31(5): 65. [14] Lieber C A, Mahadevan-Jansen A. Applied Spectroscopy, 2003, 57(11): 1363.