Monoglyceride quality detection method and system based on machine vision

A machine vision and monoglyceride technology, applied in the field of artificial intelligence, can solve the problems of low detection efficiency, environmental pollution of chemical experiments, and long experiment time, so as to improve accuracy and reliability, improve intelligence, and improve monoglyceride. Effect of Ester Quality Detection Efficiency

Active Publication Date: 2022-03-04
佳力士添加剂(海安)有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for detecting the quality of monoglycerides based on machine vision, which is used to solve the problem of detecting the purity of monoglycerides through various experimental methods in the prior art, which has long time-consuming experiments and low detection efficiency. , and the technical problems of environmental pollution caused by chemical experiments

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  • Monoglyceride quality detection method and system based on machine vision
  • Monoglyceride quality detection method and system based on machine vision
  • Monoglyceride quality detection method and system based on machine vision

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Embodiment 1

[0035] Please refer to the attached figure 1 , an embodiment of the present invention provides a machine vision-based monoglyceride quality detection method, wherein the method is applied to a machine vision-based monoglyceride quality detection system, and the method specifically includes the following steps:

[0036] Step S100: Obtain a first set of process parameters, wherein the first set of process parameters are production process parameters of monoglyceride products;

[0037] Specifically, the machine vision-based monoglyceride quality detection method is applied to the machine vision-based monoglyceride quality detection system, which can extract the color characteristics of monoglycerides made by different production processes, Establish the corresponding relationship between production process parameters and color feature information, and then classify monoglycerides, and conduct chromatographic analysis on all types of monoglycerides, and finally based on the chroma...

Embodiment 2

[0097] Based on the same inventive concept as the machine vision-based monoglyceride quality detection method in the foregoing embodiment, the present invention also provides a machine vision-based monoglyceride quality detection system, please refer to the attached Figure 5 , the system includes:

[0098] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a first process parameter set, wherein the first process parameter set is a production process parameter of a monoglyceride product;

[0099] The second obtaining unit 12, the second obtaining unit 12 is used to extract the color feature of the monoglyceride product, and obtain the first color feature information;

[0100] A third obtaining unit 13, the third obtaining unit 13 is configured to perform cluster analysis on the monoglyceride product based on the first process parameter set and the first color feature information, to obtain a first classification result;

[0101] A fourth obtaining unit 1...

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Abstract

The invention discloses a monoglyceride quality detection method and system based on machine vision. The method comprises the following steps: obtaining a first process parameter set; performing color feature extraction on the monoglyceride product to obtain first color feature information; performing clustering analysis on the monoglyceride product based on the first process parameter set and the first color feature information to obtain a first classification result; obtaining a first preset sampling amount, and traversing the first classification result according to the first preset sampling amount to obtain a first detection sample set; performing chromatographic analysis on the first detection sample set to obtain a first detection chromatographic set; and inputting the first detection chromatography set into a first quality detection evaluation model to obtain a first quality detection result. The technical problems that in the prior art, when the purity of monoglyceride is detected through multiple experiment methods, experiment time consumption is long, detection efficiency is low, and meanwhile chemical experiments cause environmental pollution are solved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method and system for detecting the quality of monoglyceride based on machine vision. Background technique [0002] The hydrophilic-lipophilic balance value of monoglyceride is between 3 and 4, which is a kind of high-efficiency surfactant. In recent years, with the continuous development of food, medicine, daily chemical industry and other industries, the processing varieties have increased, and the application of monoglyceride has become more and more extensive. Monoglycerides are commonly used emulsifiers in food emulsion systems, and their content is closely related to the stability of emulsions. The existing methods commonly used to detect the content of monoglycerides include chemical analysis, column chromatography, thin layer chromatography and gas chromatography. Among them, the operation of chemical analysis and column chromatography is cumbersome, time-consum...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06V10/774G06V10/762G06V10/764G01N30/02G01N21/84G01N21/25
CPCG01N30/02G01N21/25G01N21/84G06F18/23G06F18/214G06F18/24323
Inventor 孙敬章裴延飞张家生
Owner 佳力士添加剂(海安)有限公司
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