Hogwash oil identification method based on near infrared reflectance spectroscopy

A near-infrared spectroscopy, stagnant oil technology, applied in the field of stagnant oil identification, can solve the problems of inability to form an automatic detection process, complex process, time-consuming, etc., and achieve the effects of reducing computational complexity, eliminating interference factors, and improving prediction accuracy.

Inactive Publication Date: 2013-09-11
JIANGNAN UNIV
View PDF1 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in order to effectively identify hogwash oil, gas chromatography detection of cholesterol and fluorescence method of sodium dodecylbenzenesulfonate identification have appeared in China. However, these methods are based on a large number of chemical experiments and the process is complicated. And time-consuming, can not form an automatic detection process

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
  • Hogwash oil identification method based on near infrared reflectance spectroscopy
  • Hogwash oil identification method based on near infrared reflectance spectroscopy
  • Hogwash oil identification method based on near infrared reflectance spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In the following, the present invention will be further described and explained in conjunction with the accompanying drawings and examples, so that those skilled in the art can better understand the present invention.

[0059] figure 1 The overall plan diagram for the determination of detergent content in hogwash oil is given. Firstly, the collected spectra are preprocessed by combining multivariate scattering correction processing and Karl Norris smoothing processing to eliminate the influence of interference factors, and then use the joint interval minimum The wavelength screening was performed by the square method (siPLS), and the selected wavelengths were: [275:411], [549:685], [686:822], [1234:1370]. Finally, the LS-SVM method based on the radial basis kernel function is used to establish the prediction model, in which the regularization parameter C=34.26, and the kernel parameter σ 2 = 11.84.

[0060] In order to achieve high-precision measurement and avoid unnece...

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 model for determining content of liquid detergent in hogwash oil by combining LS-SVM (least squares-support vector machine) with siPLS (synergy interval partial least squares) based on a near infrared reflectance spectroscopy. The method comprises the steps of: firstly, carrying out pretreatment on collected oil spectrum by adopting a method of combining multiplicative scatter correction treatment with Karl Norris smooth treatment to remove the effect of an interference factor; then screening 548 spectroscopic data which have large correlation with the content of the liquid detergent in the hogwash oil by utilizing the siPLS method, and building a regression prediction model by utilizing the LS-SVM, wherein the selected regularization parameter C is 34.26, and the core parameter rho2 is 11.84; selecting front 10 main ingredients as input variables by applying a main ingredient analysis method; making out a relevant figure line; providing the judgment result whether the oil is the hogwash oil.

Description

1. Technical field [0001] The present invention relates to a kind of near-infrared spectrum analysis technique, especially a kind of near-infrared spectrum analysis technique based on Least Squares Support Vector Machine (LS-SVM) modeling combined with Joint Interval Partial Least Squares (siPLS) to select wavelengths to measure oil content. The method of identifying hogwash oil based on the content of detergent. 2. Background technology [0002] Hogwash oil refers to the low-quality oil extracted through simple processes such as heating, dehydration, slag removal, decolorization, and deodorization after recovering the oily sewage discharged in the drainage channel by the catering industry. It is the most widespread type of waste oil series. . During the preparation process, a large number of complex chemical reactions have been performed, resulting in the production of many toxic substances, and it is difficult to distinguish the processed hog oil from the qualified edible...

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): G01N21/31
Inventor 彭秀辉刘艳
Owner JIANGNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap