Gasoline benzene content prediction method based on Raman spectrum analysis technology

Abstract

The invention discloses a gasoline benzene content prediction method based on a Raman spectrum analysis technology. According to the method, the training samples are collected at first, then the Raman spectrums of the training samples are measured, then the measured Raman spectrums are preprocessed, and the characteristic spectrum segments of benzene are selected. In this area, the interference peaks generated by other components in gasoline will overlap on the characteristic peak of benzene, and thus the model prediction precision is reduced. So a spectral analysis technology is adopted to fit the interference peaks so as to deduct the interference peaks. Finally, a multiple regression method is used to establish a regression model of the benzene characteristic spectrum segment, from which the interference peaks have been removed, and the volume content of benzene. The disclosed method utilizes a spectral analysis technology to effectively solve the problem that in a Raman spectrum, the signals of different components overlap with each other, so the precision of analysis model is prominently improved. Moreover, the provided method has the advantages that the required training sample is few, the extrapolation of the model is strong, the analysis time is short, and the prediction result is precise; and thus the method is suitable for the online quantitative analysis of gasoline benzene content.

Description

technical field [0001] The invention relates to the field of quantitative analysis of chemical product components, in particular to the precise quantitative analysis of benzene components in gasoline by using Raman spectroscopy. Background technique [0002] Benzene is considered a carcinogen, which exists in gasoline and other chemical products. With the evaporation and / or incomplete combustion of gasoline and other chemical products, benzene will cause serious pollution to the atmosphere, so the benzene content in gasoline is strictly controlled. Control is an important part of the comprehensive treatment of motor vehicle exhaust pollution. Since December 31, 2009, my country has fully implemented the national Ⅲ quality index of motor gasoline (GB17930-2006), which strictly stipulates that the benzene content in gasoline should not exceed 1% by volume. It is stipulated that gas chromatography should be used to measure the benzene content in gasoline. [0003] The applicat...

AI Technical Summary

Problems solved by technology

However, since the collection of training samples requires a lot of time and economic overhead, and the extrapolation of the established regression model is difficult to guarantee, once the measurement environment and the composition of the measurement objects change, it is likely to need to re-collect samples for model reconstruction , these all add difficulties to the practical application

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