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Spectral linear expression-based oil property prediction method

A technology of linear representation and prediction method, applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve problems such as difficult to deal with prediction problems, insufficient use of input information, lack of input data, etc., to achieve oil property prediction value exact effect

Active Publication Date: 2018-04-24
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods do not make full use of the input information, the data processing is too simple, and the lack of careful consideration of the input data makes it difficult to deal with more accurate prediction problems.
The near-infrared spectroscopy modeling problem has a strong nonlinearity, and its input data is near-infrared absorbance data in the wave number range of oil products, which contains a lot of information, which poses challenges to the traditional parametric and non-parametric models

Method used

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  • Spectral linear expression-based oil property prediction method
  • Spectral linear expression-based oil property prediction method
  • Spectral linear expression-based oil property prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] (1) Determine the basic parameters n and λ of the model

[0037] The range of the number of oil samples is set to n=10-100, and the traversal search is performed with a step size of 2. In order to speed up the search and take into account the fact that the Euclidean distance of the oil sample spectrum is small, the regularization parameter λ takes logarithmic equal intervals, lg(λ)=-12~4, with a step size of 0.02. Next follow image 3 The procedure shown determines the basic parameters n and λ of the model.

[0038] Now follow figure 2 The flow shown, for the parameter combination n=10, λ=10 -12.00 Evaluate model performance:

[0039] Take the first sample in the oil sample bank as the test sample S test = S 1 =(X 1 ,Y 1 ):

[0040] Absorbance data of the first sample in table 1

[0041] spectral point

1

2

3

…

208

Absorbance

-0.0120

-0.0099

-0.0066

…

-0.0796

[0042] Its property value Y 1 = 92.4. Other sa...

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Abstract

The invention specifically relates to a spectral linear expression-based oil property prediction method. The method comprises the steps of analyzing main components of near infrared spectral data of acorrection set and a test sample, extracting first k main components in a scoring matrix obtained in main component analysis and creating a main component space, finding out, based on Euclidean distance in the main component space, oil samples most similar to the test sample in n correction sets, and taking the oil samples as adjacent samples; calculating near infrared spectral weights w of the adjacent samples; and weighting property values of the adjacent samples by using the near infrared spectral weights w, so as to obtain a predicted property value of the test sample. The test sample ispredicted through linear combinations with specific weights, and the method integrates advantages of a parameter model and a non-parameter model.

Description

technical field [0001] The invention belongs to the field of oil product property detection in petrochemical industry, and in particular relates to a method for predicting oil product properties based on spectral linear expression. Background technique [0002] The traditional oil product evaluation method can provide detailed crude oil property data, but its operation is complicated and takes a long time, and it is difficult to meet the real-time requirements of oil product property analysis in the process of oil product processing. At present, the modeling technology based on near-infrared spectroscopy is becoming mature. These methods include multiple linear regression, local weighted regression, partial least squares, etc., and are widely used in the prediction of oil properties. Although these methods have begun to consider using the idea of ​​local modeling to deal with the nonlinearity existing in practical problems, the nature of the linear parameter model still limi...

Claims

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Application Information

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IPC IPC(8): G06K9/62G01N21/359G01N21/3577
CPCG01N21/3577G01N21/359G06F18/24133G06F18/241
Inventor 焦一平费树岷陈夕松
Owner SOUTHEAST UNIV