Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Quick edible oil variety identification method based on multisource spectral feature fusion

A technology of spectral characteristics and edible oil, applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, can solve the problems of infringing on the interests of consumers and legitimate production and sales enterprises, achieve strong practical value and promotion value, and convenient detection , generalization ability and strong predictive ability

Active Publication Date: 2016-07-27
WUHAN POLYTECHNIC UNIVERSITY
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, with the continuous increase in the price of edible oil, many unscrupulous merchants put low-value oil into the market as high-value oil in order to make huge profits, or mix low-value oil into high-value oil, seriously infringing on consumers and legitimate production and sales. business interests

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Quick edible oil variety identification method based on multisource spectral feature fusion
  • Quick edible oil variety identification method based on multisource spectral feature fusion
  • Quick edible oil variety identification method based on multisource spectral feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] 1. Sample selection

[0041] A total of 157 edible oil samples of soybean oil, peanut oil, rapeseed oil, tea seed oil, rice oil, corn oil, sunflower oil, and olive oil were collected, and the calibration set samples of edible oil were selected by using the SPXY algorithm at a ratio of 3:1 118 samples and 39 edible oil prediction set samples, among which the edible oil calibration set samples were used to optimize the establishment of the qualitative model, and the edible oil prediction set samples were used to optimize the performance verification of the qualitative model; among them, the prediction set samples of 8 types of edible oil samples And the distribution of the number of samples in the calibration set is shown in Table 1.

[0042] Table 1

[0043] type serial number prediction set Calibration set Subtotal Soybean oil 1 7 18 25 peanut oil 2 7 17 24 canola oil 3 4 29 33 Tea seed oil 4 2 15 17 rice oil ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a quick edible oil variety identification method based on multisource spectral feature fusion. The method comprises the steps of selecting an unknown variety of edible oil sample to be identified, acquiring a Raman spectrum chart and a near infrared spectrum chart, preprocessing the Raman spectrum chart and the near infrared spectrum chart to obtain a preprocessed Raman spectrum chart and a preprocessed near infrared spectrum chart, conducting feature extraction on the preprocessed Raman spectrum chart and the preprocessed near infrared spectrum chart to obtain a Raman characteristic variable and a near infrared characteristic variable, conducting spectral characteristic fusion on the Raman characteristic variable and the near infrared characteristic variable to obtain a characteristic fusion spectrum chart, and conducting variety identification on the unknown variety of edible oil sample by means of an optimized qualitative model. The method is safe and quick, detection is convenient, identification accuracy is high, and practical value and popularization value are high.

Description

technical field [0001] The invention relates to the technical field of rapid detection, in particular to a method for rapid identification of edible oil types based on fusion of multi-source spectral features. Background technique [0002] Edible oil contains many important nutrients needed by the human body and is also essential in our daily diet. At present, with the continuous increase in the price of edible oil, many unscrupulous merchants put low-value oil into the market as high-value oil in order to make huge profits, or mix low-value oil into high-value oil, seriously infringing on consumers and legitimate production and sales. the interests of the business. Therefore, it is necessary to study a method for quickly identifying edible oil types, which is of great significance for safeguarding the interests of consumers and legal operators and maintaining the normal order of the edible oil market. Contents of the invention [0003] Aiming at the deficiencies in the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65G01N21/359G01N21/3577
CPCG01N21/3577G01N21/359G01N21/65G01N2021/1736
Inventor 郑晓涂斌何东平陈志彭博吴双
Owner WUHAN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products