| 光谱学与光谱分析 |
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| Study of Determination of Oil Mixture Components Content Based on Quasi-Monte Carlo Method |
| WANG Yu-tian1, XU Jing1*, LIU Xiao-fei2, CHEN Meng-han1, WANG Shu-tao1 |
1. Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao 066004, China
2. Hebei Provincial Key Laboratory of Parallel Robot and Mechatronic System，Yanshan University，Qinhuangdao 066004，China |
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Abstract Gasoline, kerosene, diesel is processed by crude oil with different distillation range. The boiling range ofgasoline is 35~205 ℃. The boiling range of kerosene is 140~250 ℃. And the boiling range of diesel is 180~370 ℃. At the same time, the carbon chain length of differentmineral oil is different. The carbon chain length of gasoline is within the scope of C7 to C11. The carbon chain length of kerosene is within the scope of C12 to C15. And the carbon chain length of diesel is within the scope of C15 to C18. The recognition and quantitative measurement of three kinds of mineral oil is based on different fluorescence spectrum formed in their different carbon number distribution characteristics. Mineral oil pollution occurs frequently, so monitoringmineral oil content in the ocean is very important. A new method of components content determination of spectra overlapping mineral oil mixture is proposed, with calculation of characteristic peak power integrationof three-dimensional fluorescence spectrum by using Quasi-Monte Carlo Method, combined with optimal algorithm solving optimum number of characteristic peak and range of integral region, solving nonlinear equations by using BFGS(a rank to two update method named after its inventor surname first letter, Boyden, Fletcher, Goldfarb and Shanno) method. Peak power accumulation of determined points in selected area is sensitive to small changes of fluorescence spectral line, so the measurement of small changes of component content is sensitive. At the same time, compared with the single point measurement, measurement sensitivity is improved by the decrease influence of random error due to the selection of points. Three-dimensional fluorescence spectra and fluorescence contour spectra of single mineral oil and the mixture are measured by taking kerosene, diesel and gasoline as research objects, with a single mineral oil regarded whole, not considered each mineral oil components. Six characteristic peaks are selected for characteristic peak power integration to determine components content of mineral oil mixture of gasoline, kerosene and diesel by optimal algorithm. Compared with single point measurement of peak method and mean method, measurement sensitivity is improved about 50 times. The implementation of high precision measurement of mixture components content of gasoline, kerosene and diesel provides a practical algorithm for components content direct determination of spectra overlapping mixture without chemical separation.
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Received: 2014-04-10
Accepted: 2014-08-10
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Corresponding Authors:
XU Jing
E-mail: ysuxujing@163.com
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[1] NI Tian-zeng, HUANG Can, ZENG Zhou-xiang(倪天增，黄 璨，曾周详). Environment Study and Monitoring(环境研究与监测), 2013, 3: 45.
[2] Chelsea Spier, William T Stringfellow, Terry C Hazenl. Environmental Pollution, 2013, 173: 225.
[3] Ville Kontturi, Petri Turunen, Jun Uozumi. Optics Letters, 2009, 34(23): 3744.
[4] Bernabeu A M, Fernandez-Fernandez S, Bouchette F. Journal of Hazardous Materials, 2013, 250-251: 84.
[5] Barkey B, Liou K N. Optics Letters, 2011, 26(6): 233.
[6] WU Zhong-biao. Environmental Monitoring(环境监测). Beijing: Chemical Industry Press(北京：化学工业出版社)，2003. 18.
[7] Peiris R H, Budman H, Moresoli C. Water Science and Technology, 2011, 63(10): 2427.
[8] Catini A, Dini F，et al. Lecture Notes in Electrical Engineering, 2011, 50(6): 1324.
[9] WU Chun-hui, YE Hong-de, WU De-hong, et al(吴春惠，叶红德，吴德洪，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(1): 120. |
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