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Real-time monitoring method of milk coagulation process based on incremental principal component analysis

A principal component analysis and coagulation process technology, applied in the analysis of materials, material analysis through optical means, measuring devices, etc., can solve problems such as high cost, affecting work efficiency, hindering process automation, etc., and achieve high accuracy and reliable data The effect of the analysis

Active Publication Date: 2017-11-14
NORTHEASTERN UNIV LIAONING
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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

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  • Real-time monitoring method of milk coagulation process based on incremental principal component analysis
  • Real-time monitoring method of milk coagulation process based on incremental principal component analysis
  • Real-time monitoring method of milk coagulation process based on incremental principal component analysis

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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...

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Abstract

The invention discloses a method for real-time monitoring of milk coagulation process based on incremental principal component analysis, which uses clustering method to cluster data into multiple windows on the basis of near-infrared spectrum data in the process of milk coagulation, and then The incremental principal component analysis method is used to reduce the dimensionality of the data in the window, and when the subsequent batch data is added to the window, the original data can be corrected by the newly added sample data, so that the eigenvalues ​​and features in the window can be adjusted. The vector is continuously updated, and finally the feature data in the dynamic window will accurately reflect the milk coagulation process. The method of the invention can perform more reliable data analysis on near-infrared spectrum data, and finally realizes accurate monitoring of the milk coagulation process. It is verified through repeated tests that the method of the invention has an accuracy rate as high as over 90% when detecting the milk coagulation process, so that it can be used in the production of higher quality cheese products.

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

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Application Information

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Patent Type & Authority Patents(China)
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 LIAONING
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