Prediction Method of Benzene Content in Gasoline Based on Raman Spectroscopy Analysis Technology
A technology of Raman spectroscopy and prediction methods, applied in Raman scattering, material excitation analysis, etc., can solve problems such as difficulty in guaranteeing extrapolation of regression models, difficulties, and increased practical applications
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[0030] The invention provides a method for predicting the benzene content of gasoline based on Raman spectral analysis technology, comprising: step S1, collecting training samples, the benzene volume content of the training samples is known; step S2, measuring the Raman of the training samples Spectrum; step S3, preprocessing the measured Raman spectrum; step S4, obtaining an intercepted spectrum segment from the preprocessed Raman spectrum, the intercepted spectrum segment includes the wave number of the characteristic peak of benzene, And apply the Raman spectral analysis technique to decompose the described cut-out spectrum section of each described training sample, obtain the characteristic peak and interference peak of the benzene of this training sample; Step S5, from the described training sample of each sample Deducting the respective interference peaks from the intercepted spectrum to obtain the characteristic spectrum of benzene in each sample in the training sample; ...
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