Disc mill control method

A control method and disc mill technology, applied in the field of disc mill control, can solve difficult disc mill, control and other problems, and achieve the effect of soft measurement

Inactive Publication Date: 2016-05-11
ZHENJIANG COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there is no online monitoring equipment for the beating degree at present, and it is difficult to effectively and accurately control the disc refiner because there is no real-time detection signal for the beating degree

Method used

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1 As shown, the present invention establishes the mapping relationship between the feed flow rate, the feed concentration, the electric power consumed by the disc refiner and the beating degree at the corresponding time, and establishes a neural network. After the neural network is trained, soft measurement is performed on the degree of beating.

[0051] To achieve this purpose, the following steps are specifically included:

[0052] 1) According to the historical detailed records of the production parameters of the pulp mill, the statistics of the incoming stock flow rate, incoming stock concentration, electric power consumed by the disc refiner, and the beating degree at the corresponding time; The electrical power consumed by the machine is used as an input parameter, and the degree of beating is used as an output par...

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Abstract

The invention discloses a disc mill control method. The disc mill control method comprises the following steps: a neural network is established, and a BP neural network and an additional momentum learning rule are used to train the neural network according to existing historical monitoring data; the optimal input parameter of the neural network is solved with particle swarm optimization; through estimated and actually measured error data of the neural network, the additional momentum learning rule is used to update the trained neural network. The disc mill control method solves the problems that the beating degree of a pulp mill is mainly determined by manual assay and far lags behind a beating process and a disc mill cannot be controlled precisely and effectively, soft measurement of the beating degree is realized, and on-line detection signals are provided for real-time control of the disc mill.

Description

technical field [0001] The invention relates to a disc refiner control method, which belongs to the technical field of paper making equipment. Background technique [0002] The disc refiner is a kind of paper-making equipment, and the degree of beating can be controlled by controlling the advance and retreat of the disc refiner. Beating is an indispensable link in the paper production process. By measuring the degree of beating, the degree of fiber cutting, swelling, splitting, and fibrillation can be grasped. In the paper manufacturing industry, two indicators, wet weight and beating degree, are commonly used to measure the quality of pulp. However, there is no online monitoring equipment for the beating degree at present, and it is difficult to effectively and accurately control the disc refiner because there is no real-time detection signal for the beating degree. Contents of the invention [0003] The object of the present invention is to provide a disc refiner contr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): D21D1/30G05B13/04G06F19/00G06N3/08G06N3/12
CPCD21D1/30G05B13/04G06N3/084G06N3/126G16Z99/00
Inventor 徐沛徐任飞黄海峰
Owner ZHENJIANG COLLEGE
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