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Data monitoring method and system used for boiling sugar crystallization process

A data monitoring and crystallization technology, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that some parameters that cannot be boiled and crystallized cannot be directly measured, and achieve strong expansion capabilities and openness, and improve stability Sexuality and reliability, the effect of a high degree of intelligence

Inactive Publication Date: 2015-10-21
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the technical problem in the prior art that some parameters cannot be directly measured during the boiling sugar crystallization process, the present invention proposes a data monitoring method and system for boiling sugar crystallization

Method used

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  • Data monitoring method and system used for boiling sugar crystallization process
  • Data monitoring method and system used for boiling sugar crystallization process
  • Data monitoring method and system used for boiling sugar crystallization process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Such as figure 1 As shown, the method includes:

[0067] Step S101: Obtain real-time process data and historical process data of the sugar boiling and crystallization process;

[0068] Obtaining historical process data is the process of selecting and constructing auxiliary variables of the soft-sensing data-driven model in the process of boiling sugar crystallization. The historical process data is the auxiliary variable, and the auxiliary variables are state parameters directly measured online during the process of boiling sugar crystallization;

[0069] The state parameters directly measured online can include any one or several of the following: vacuum degree, massecuite temperature, liquid level of massecuite, steam pressure, steam temperature, feed flow rate, massecuite hammer.

[0070] Step S102: Perform normalization processing on the historical process data, and randomly divide it into training set and test set, and use Twin Support Vector Regression Machine to...

Embodiment 2

[0137] The present invention also proposes a data monitoring system for boiled sugar crystallization, such as figure 2 shown, including:

[0138] Data acquisition module 010, used to acquire real-time process data and historical process data of the boiling sugar crystallization process;

[0139] The processing building block 020 is used to normalize the historical process data, and randomly divide it into a training set and a test set, and adopt twin support vector regression mechanism to construct the data of mother liquor supersaturation and mother liquor purity in the boiling sugar crystallization process drive model;

[0140] The model optimization module 030 is used to iteratively optimize the data-driven model according to the particle swarm optimization algorithm and the 10-fold cross-validation method, and obtain the optimized data-driven model;

[0141] A model testing module 040, configured to perform a performance test on the optimized data-driven model according...

Embodiment 3

[0157] Such as image 3 Shown, the data measuring method that is used for boiled sugar crystallization of the present invention comprises:

[0158] Step S301: selecting an auxiliary variable for constructing a soft-sensing data-driven model in the process of boiling sugar and crystallization, and the auxiliary variable is a state parameter directly measured online during the process of boiling sugar and crystallization;

[0159] The state parameters directly measured online can include any one or several of the following: vacuum degree, massecuite temperature, liquid level of massecuite, steam pressure, steam temperature, feed flow rate, massecuite hammer.

[0160] Step S302: using the auxiliary variable as the input of the data-driven model, taking the supersaturation degree of mother liquor and the purity of mother liquor as the output of the data-driven model, and constructing a data-driven model of the boiling sugar crystallization process based on twin support vector regr...

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Abstract

The invention discloses a data monitoring method and system used for the boiling sugar crystallization process. The data monitoring method comprises steps of obtaining real-time process data and historical process data of the boiling sugar crystallization process; carrying out normalization processing to the historical process data, and dividing the historical process data into a training set and a test set randomly, and establishing a data driving model of the mother liquor super saturation degree and the mother liquor purity in the boiling sugar crystallization process by means of a twinning support vector regression mechanism; carrying out iterative optimization to the data driving model according to a particle swarm optimization algorithm and a 10-fold cross validation method, and obtaining an optimized data driving model; carrying out performance tests to the optimized data driving model according to the test set; measuring the mother liquor super saturation degree and the mother liquor purity according to the real-time process data and the optimized data driving model; and calculating the crystal grain content and the crystal size distribution in the boiling sugar crystallization process according to the mother liquor super saturation degree and the mother liquor purity.

Description

technical field [0001] The invention relates to the technical field of data measurement and monitoring in the process of boiling sugar crystallization, in particular to a data monitoring method and system for boiling sugar crystallization. Background technique [0002] At present, the functions and structures of the automatic control system used in the sugar boiling and crystallization process are basically the same, and can be roughly divided into four parts: data acquisition, data display, data processing and actuators. The idea of ​​constructing the automatic control system of the sugar crystallization process is: firstly, obtain the real-time state parameters of the sugar crystallization process (such as vacuum degree, massecuite temperature, liquid level, steam temperature, steam pressure, massecuite hammer, etc.) through various hardware sensors. State parameters), and then transmitted to the host computer monitoring system through the field bus, after the host compute...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 蒙艳玫郑康元李文星胡飞红庞海锋陆冠成唐志宏
Owner GUANGXI UNIV
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