Method for improving prediction accuracy of gasoline properties

A technology for prediction accuracy and gasoline properties, applied in the field of octane number determination by research method, can solve problems such as affecting spectral information, near-infrared spectral baseline drift, absorption peak overlap, etc., to improve prediction accuracy, eliminate baseline drift, The effect of removing noise

Inactive Publication Date: 2016-09-21
南京富岛信息工程有限公司
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Problems solved by technology

[0003] In actual use, since the near-infrared original spectrum contains not only chemical information related to the composition of the sample, but also interference signals caused by the state of the sample, stray light and high-frequency noise of the instrument, these interference signals will affect the spectrum. information, resulting in near-infrared spectrum baseline drift, low signal-to-noise ratio, and adverse effects

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  • Method for improving prediction accuracy of gasoline properties
  • Method for improving prediction accuracy of gasoline properties
  • Method for improving prediction accuracy of gasoline properties

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[0023] The present invention will be further described below in conjunction with the accompanying drawings and examples of implementation.

[0024] Taking a certain 95# refined oil as an example, the present invention introduces a method for improving the prediction accuracy of gasoline properties based on WT and FFT. In this case, there are 87 95# refined oil samples in the spectral library, numbered 95#-1~95#-87, and the 10 samples numbered 95#-88~95#-97 are predicted. For the prediction of gasoline RON properties, the modeling spectral band is selected as 4000-4800cm - 1 , a total of 208 wavenumber points in the interval.

[0025] according to figure 1 In the given implementation process, firstly, vector normalization is performed on the near-infrared spectrum data of gasoline samples, and then the functions in the Matlab software toolbox are directly called to perform WT and FFT. Through WT denoising and baseline drift elimination, the WT approximate information coeffi...

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Abstract

The present invention provides a method for improving the prediction accuracy of gasoline properties. According to the method, the de-noising treatment is conducted through the wavelet transform, and a de-noised spectrum is subjected to fast Fourier transform. In this way, the useful information can be effectively extracted from the overlapped absorption peaks of the spectrum. The Euclidean distance is calculated based on first several Fourier transform coefficients with the cumulative proportion thereof to be up to 85%. Meanwhile, a certain number of samples smaller in distance are adopted as correction samples to establish a partial least squares model. Finally, a to-be-tested sample is predicted. Based on the above method, the noise is better removed, and the baseline drift is eliminated. Meanwhile, the feature information of a gasoline spectrum is effectively extracted, and the prediction accuracy of the model is improved. Therefore, the method has important engineering application value.

Description

technical field [0001] The invention relates to a method for improving the prediction accuracy of gasoline properties, and in particular relates to the field of gasoline property detection, especially a method for measuring the octane number of a research method. Background technique [0002] The analysis of properties such as research octane number (RON) and saturated vapor pressure is a must-test item in gasoline production, which is of great significance to the quality control of gasoline products. Traditional detection methods for these properties are complex, labor-intensive and time-consuming. The near-infrared spectroscopy analysis method has the advantages of simplicity, rapidity, and non-destructiveness, so it is more and more widely used in the analysis and detection of gasoline properties. [0003] In actual use, since the near-infrared original spectrum contains not only chemical information related to the composition of the sample, but also interference signals...

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Application Information

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IPC IPC(8): G01N21/3577G01N21/359G06F17/14
CPCG01N21/3577G01N21/359G06F17/14
Inventor 陈夕松姜胜男杜眯费树岷方鑫胡云云吴沪宁
Owner 南京富岛信息工程有限公司
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