Chemometrics method for determining cetane number of diesel oil

A chemometrics and cetane number technology is applied in the field of cetane number determination of diesel oil, which can solve the problems of high determination cost, large oil sample, long time consumption, etc., and achieve the effect of simple detection.

Inactive Publication Date: 2013-11-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

This method requires a large number of oil samples,

Method used

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  • Chemometrics method for determining cetane number of diesel oil
  • Chemometrics method for determining cetane number of diesel oil
  • Chemometrics method for determining cetane number of diesel oil

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Embodiment

[0019] Download the NIR spectra of 245 diesel samples and the corresponding cetane number public data from http: / / software.eigenvector.com / Data / SWRI / index.html. The scanning range of the near-infrared spectrum is 750-1550nm, and the scanning interval is 2nm, including 401 wavelength points (variables). Adopt the concrete steps of the inventive method:

[0020] 1. Standardize the original NIR spectral data to obtain a standardized data matrix. The standardized matrix has a mean of 0 and a variance of 1 for each variable in the variable space.

[0021] 2. The original data set is randomly divided into 155 samples as the training set, 45 samples as the test set, and the remaining 45 samples as the prediction set.

[0022] 3. According to the Monte Carlo cross-validation combined with the F test method, a partial least squares (PLS) correlation model was established between the NIR spectrum of the diesel training set sample and the corresponding cetane number data. Taking the r...

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Abstract

The invention discloses a chemometrics method for determining a cetane number of diesel oil. The chemometrics method comprises the following steps of firstly, carrying out standardized treatment on determined original near infrared spectrum data of the diesel oil and screening variables (wavelengths) in the data by adopting an uninformative variable elimination UVE method; then, establishing a partial least squares PLS model between a known diesel oil spectrum matrix containing different variable numbers and the corresponding cetane number; predicating the cetane number of an unknown sample by adopting a multi-model consensus method; calculating a total predicated value by carrying out weighting method calculation on a predicated value of a single model; finally, calculating the predicated values by an averaging method through repeating a predication process for a plurality of times so as to obtain the final predicated result. The method disclosed by the invention is applied to the determination for the cetane number of an actual diesel oil sample to obtain a good effect; the performance for predicating the cetane number of the diesel oil by combining the PLS linear model with a near-infrared spectrometry is improved in the aspects of accuracy and stability; the cetane number of the diesel oil can be detected accurately, rapidly and simply.

Description

technical field [0001] The invention relates to a method for measuring the cetane number of diesel oil by using chemometrics combined with near-infrared spectrum technology. Background technique [0002] The structural group that produces absorption in the near-infrared spectrum (NIRs) region is mainly X-H, and various compounds that make up petroleum products have this structure. Therefore, NIRs have played an important role in almost all aspects of petrochemical detection due to their simplicity, speed, non-destructiveness, and good reproducibility. Diesel, as a complex hydrocarbon mixture, has a very complex near-infrared spectrum structure and serious spectrum overlap. Therefore, extracting characteristic information from near-infrared spectral data of diesel oil and establishing a relationship model between its indicators (cetane number, density, freezing point, etc.) and spectral data are key steps to ensure the quality of oil products. [0003] The cetane number (CN...

Claims

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Application Information

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IPC IPC(8): G01N21/35
Inventor 李艳坤孙伟景璟
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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