Mid-infrared spectrum method for identifying engine fuel type and brand

A kind of fuel type and infrared spectroscopy technology, applied in the field of mid-infrared spectroscopy, can solve the problems of weak environmental adaptability of mid-infrared spectroscopy instruments, difficult quality inspection and type identification in the petrochemical industry, expensive instruments, etc., to improve anti-counterfeiting capabilities, fast speed, Simple operation effect

Inactive Publication Date: 2013-04-17
PETRO OIL & LUBRICANT RES INST OF THE GENERAL LOGISITIC DEPT OF PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the weak environmental adaptability and expensive equipment of mid-infrared spectroscopy instruments, it is still difficult to use this technology for quality inspection and species identification in the petrochemical industry.

Method used

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  • Mid-infrared spectrum method for identifying engine fuel type and brand
  • Mid-infrared spectrum method for identifying engine fuel type and brand
  • Mid-infrared spectrum method for identifying engine fuel type and brand

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0076] Example 1: Establishment and verification of engine fuel type identification model

[0077] 1) Collect training set samples

[0078] A total of 884 samples of gasoline, diesel and No. 3 jet fuel were collected from various refineries in my country, including 546 samples of gasoline, 238 samples of diesel oil, and 100 samples of No. 3 jet fuel.

[0079] 2) Determining the infrared spectrum of the training set samples

[0080] Use TENSOR 27 mid-infrared spectrometer to measure the mid-infrared absorption spectrum of the training set samples, spectral range: 600cm -1 ~4000cm -1 . Transmission sample cell, 0.1mm optical path, see the spectrum figure 2 .

[0081] 3) The type values ​​for jet fuel, gasoline and diesel are 1, 500 and 1000, respectively. The training set will be divided into calibration set and validation set, the numbers are 530 and 354 respectively. Using the calibration set samples combined with the PLS method to establish the model of the sample typ...

example 2

[0084] Example 2: Establishment and verification of identification models for light diesel oil and military diesel oil

[0085] 1) Collect training set samples

[0086] A total of 258 samples of light diesel oil and military diesel oil were collected from various refineries in my country, including 58 samples of military diesel oil and 200 samples of light diesel oil.

[0087] 2) Determining the infrared spectrum of the training set samples

[0088] Use TENSOR 27 mid-infrared spectrometer to measure the mid-infrared absorption spectrum of the training set samples, spectral range: 600cm -1 ~4000cm -1 . Transmission sample cell, 0.1mm optical path.

[0089] 3) The type values ​​of military diesel and light diesel are 1 and 100, respectively. The training set is divided into calibration set and verification set, the numbers are 131 and 127 respectively. Using the calibration set samples, the PLS method is used to establish the model of the sample type value and spectrum. Th...

example 3

[0092] Example 3: Identification of ethanol gasoline and motor gasoline

[0093] 1) Collect training set samples

[0094] A total of 430 samples of ethanol gasoline and motor gasoline were collected from various refineries in my country, including 369 samples of motor gasoline and 61 samples of ethanol gasoline.

[0095] 2) Determining the infrared spectrum of the training set samples

[0096] Use TENSOR 27 mid-infrared spectrometer to measure the mid-infrared absorption spectrum of the training set samples, spectral range: 600cm -1 ~4000cm -1 . Transmission sample cell, 0.1mm optical path.

[0097] 3) The type values ​​of ethanol gasoline and motor gasoline are 0 and 1 respectively. The training set is divided into a correction set and a verification set, and the numbers are 216 and 214 respectively. Using the calibration set samples, the PLS method is used to establish the model of the sample type value and spectrum. The modeling parameters are shown in Table 3; Figu...

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Abstract

The invention discloses a mid-infrared spectrum method for identifying engine fuel type and brand. The method comprises the following steps: collecting a certain number of samples of each type as a training set; measuring the mid-infrared adsorption spectrum in the samples of the training set; assigning a type value to the samples of the training set; and establishing a model of the each fuel type value and the infrared spectrum by use of a PLS (partial least squares) method, and determining an identification rule. To identify an unknown engine fuel sample, a user just needs to measure the infrared adsorption spectrum of the sample, and then a computer determines the type value based on the established model by use of the spectrum and identifies the type and brand according to the identification rule. By utilizing the method disclosed by the invention, the engine type can be judged and the brand can be determined quickly in a few minutes, the fuel anti-counterfeit capability is improved, and the loss of the user caused by using a fuel by mistake or using the adulterated fuel is avoided.

Description

technical field [0001] The invention relates to a mid-infrared spectrum method for quickly identifying the type and brand of engine fuel, in particular to a method for quickly identifying unknown engine fuels as diesel, gasoline and Jet fuels, and methods of determining their grades. Background technique [0002] Different engine uses lead to a wide variety of engine fuels. For example, diesel engines use diesel power fuel, gasoline engines use gasoline power fuel, and aircraft engines use jet fuel. Various types of engine fuels are divided into different grades according to the conditions of use. For example, according to different operating temperatures, diesel oil is divided into grades such as No. 10, No. 0, No. -10 and No. -35. According to the anti-knock performance, gasoline is divided into No. 90, No. 93 and No. 97 grades. Various types and grades of fuel cannot be mixed, otherwise the engine will not run normally, resulting in failure. For example, if high-grad...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/35G06K9/62G01N21/3577
Inventor 田高友熊春华鲁长波周友杰任连岭安高军
Owner PETRO OIL & LUBRICANT RES INST OF THE GENERAL LOGISITIC DEPT OF PLA
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