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

Milk curdling process real-time monitoring method based on incremental principal component analysis

A principal component analysis and coagulation process technology, which is applied to the analysis of materials, material analysis through optical means, and measurement devices, can solve problems that affect work efficiency, high cost, and hinder process automation.

Active Publication Date: 2015-11-25
NORTHEASTERN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current production of cheese dairy products, factory operators mainly cut the milk gel formed by milk coagulation by hand according to their working experience, which is not only costly but also has subjective factors, which hinders the automation of the process and affects work efficiency

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
  • Milk curdling process real-time monitoring method based on incremental principal component analysis
  • Milk curdling process real-time monitoring method based on incremental principal component analysis
  • Milk curdling process real-time monitoring method based on incremental principal component analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be further described below in conjunction with the examples, but not as a basis for limiting the present invention. Any modifications and / or changes made to the present invention will fall within the protection scope of the present invention.

[0046] Embodiment of the present invention: the milk coagulation process real-time monitoring method based on incremental principal component analysis, such as figure 1 shown, including the following steps:

[0047] S1. Collecting multiple batches of near-infrared spectral data at various time points during the milk coagulation process as raw data;

[0048] S2. Perform standardized preprocessing on the raw data to obtain multiple batches of standardized data;

[0049] S3. Perform a clustering operation on the first batch of standardized data through a clustering algorithm to generate multiple clusters, and identify these clusters as different windows;

[0050] S4. Perform principal component analysis...

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 milk curdling process real-time monitoring method based on incremental principal component analysis. On the basis of near-infrared spectral data in the milk curdling process, the data are gathered in multiple windows through a clustering method, and then dimensionality reduction is carried out on the data in the windows through an incremental principal component analysis method; besides, when subsequent batches of data are added into the windows, the original data can be corrected through newly added sample data, and accordingly feature values and feature vectors in the windows are continuously updated; finally, feature data in dynamic windows precisely reflect the milk curdling process. By means of the method, more reliable data analysis can be carried out on the near-infrared spectral data, and finally the milk curdling process is precisely monitored. Through verification of repeated tests, accuracy is higher than 90% when the method is used for detecting the milk curdling process, and accordingly the method can be used for producing cheese products with higher quality.

Description

technical field [0001] The invention relates to a real-time monitoring method of milk coagulation process, in particular to a real-time monitoring method of milk coagulation process based on incremental principal component analysis. Background technique [0002] The step of coagulation of milk for making cheese is to form milk gel by cutting, and the time of cutting ultimately affects the yield and quality of cheese. Cutting too early results in a loss of yield, cutting too late results in a high-moisture cheese. In the current production of cheese dairy products, factory operators mainly manually cut the milk gel formed by milk coagulation according to their working experience, which not only has high cost but also has subjective factors, which hinders the automation of the process and affects work efficiency. Therefore, it is necessary for us to optimize an automated method for determining cutting time. [0003] Milk rennet induction gel is to go through three basic stag...

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
IPC IPC(8): G01N21/359G01N21/3577G01N21/3563
Inventor 赵煜辉焦昀涛周琳单鹏马海涛刘福来
Owner NORTHEASTERN UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com