Correlation analysis method for corn starch process parameters and starch milk DE value

A corn starch and analysis method technology, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as difficulty in analyzing correlations

Pending Publication Date: 2022-03-18
JILIN COFCO BIOCHEM +3
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Problems solved by technology

Faced with massive data records, it is difficult for production managers to accur

Method used

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  • Correlation analysis method for corn starch process parameters and starch milk DE value
  • Correlation analysis method for corn starch process parameters and starch milk DE value
  • Correlation analysis method for corn starch process parameters and starch milk DE value

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Embodiment 1

[0047] Such as figure 1 As shown, the correlation analysis method of a kind of corn starch process parameter and starch milk DE value provided by the present embodiment includes:

[0048] obtaining corn feedstock data associated with a site in the corn starch process and production monitoring raw data in the corn starch process together forming initial input data;

[0049] Use the principal component analysis method to perform feature extraction processing on the initial input data to obtain the feature vector of the initial input data; and use the principal component analysis method to perform dimensionality reduction processing on the initial input data to obtain the principal component input data of the initial input data; here mainly Perform feature extraction and dimensionality reduction for the initial input data;

[0050] The principal component input data is trained using a convolutional neural network model, and the total weight matrix of the trained convolutional ne...

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Abstract

The embodiment of the invention provides a correlation degree analysis method for corn starch process parameters and starch milk DE values, and belongs to the field of process modeling of big data. Comprising the following steps: performing feature extraction processing and dimension reduction processing on initial input data by applying a principal component analysis method to obtain a feature vector of the initial input data and principal component input data of the initial input data; training the principal component input data by using a convolutional neural network model, and calculating a total weight matrix of the trained convolutional neural network model; taking a matrix formed by sequentially combining the feature vectors of the initial input data as a weight matrix of the initial input data; and taking a matrix obtained by multiplying the total weight matrix of the convolutional neural network model by the weight matrix of the initial input data as a correlation matrix of the corn starch process sites corresponding to the DE values of the starch milk products. According to the correlation condition of the corn starch process site and the DE value of the starch milk product, a process adjustment scheme can be quickly formed for different raw materials, and the DE value of the starch milk is increased.

Description

technical field [0001] The invention relates to the field of process modeling of big data, in particular to a correlation degree analysis method between corn starch process parameters and starch milk DE value. Background technique [0002] The corn starch industry is the basic industry of carbohydrate derivatives, and the corn starch in its products is an important raw material for food processing. In terms of national life, economy and agricultural industrialization development, the starch industry in food processing is an important part of my country's food industry and one of the most important links in corn deep processing. [0003] Corn raw materials from different sources have different corresponding suitable processing parameters in the processing process. With the refinement of management, the data collected by corn deep processing enterprises in the production process has become increasingly complex, and the amount of data has exploded, and the data are all time-se...

Claims

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Application Information

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IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 李义周聪聪叔谋张磊佟毅都健刘颖慰赵优徐杨赵国兴刘琳琳董亚超陶然李明鑫
Owner JILIN COFCO BIOCHEM
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