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Coal preparation plant thickener and filter press pharmacy adding cooperation control system

A concentrator and filter press technology, applied in the general control system, control/regulation system, adaptive control, etc., can solve the problems of low degree of coordination, high worker participation, high consumption of chemicals, etc., to improve the level of automation and production efficiency, economic index reduction, and the effect of reducing chemical consumption

Active Publication Date: 2017-07-07
山西理工智联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the above scheme, there are disadvantages such as low degree of synergy, extensive addition of chemicals, high consumption of chemicals, and large participation of workers.

Method used

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  • Coal preparation plant thickener and filter press pharmacy adding cooperation control system
  • Coal preparation plant thickener and filter press pharmacy adding cooperation control system
  • Coal preparation plant thickener and filter press pharmacy adding cooperation control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A method for adding agents to thickeners and filter presses in a coal preparation plant, said method comprising the following steps:

[0048] Data collection: collect N=100 sets of working history data of thickeners and filter presses; data include feed concentration, underflow concentration, feed flow, measured overflow concentration, filter press cycle, and slime moisture.

[0049] Construct the prediction model: select 80 sets of data from 100 sets of data and use the training function Newff to establish the prediction models NET1 and NET2 of the dosage of flocculant and coagulant respectively; the input / output relationship of BP network is as follows: figure 1 as shown,

[0050] O1, the amount of flocculant agent added; O2, the amount of flocculant agent added; x 1 , feed concentration; x 2 Feed flow rate; x 3 overflow concentration; x 4 Underflow concentration; x 5 Filtration cycle; x 6 Slime moisture.

[0051] Feed concentration, underflow concentration, fe...

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PUM

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Abstract

The invention belongs to the field of slime water processing, and particularly relates to a coal preparation plant thickener and filter press pharmacy adding cooperation control system. A cooperative and automatic pharmacy adding system which is based on an adaptive particle swarm optimization (APSO) algorithm for solving the optimal cooperation amount is provided. A BP neural network is selected for model prediction, an APSO algorithm fitness function is used for optimal solution, joint pharmacy adding is realized, and on the premise of ensuring the slime water processing speed and the processing effects, the pharmacy consumption is the lowest and the economic benefits are the best.

Description

technical field [0001] The invention mainly belongs to the field of coal slime water treatment, and in particular relates to a cooperative control system for adding chemicals to a thickener and a filter press in a coal preparation plant. Background technique [0002] The slime water treatment process is roughly that the coarse coal slime is added to the thickening tank and divided into overflow and concentrated low flow by sedimentation and centrifugation. The concentrated low flow is further compressed by a filter press to recover the slime, and the overflow enters the circulating pool to become washing water. Concentration and pressure filtration are two important links in the process of coal slime water treatment. A large number of fine particles of coal slime affect the effect of concentration and sedimentation and pressure filtration dehydration. If the coal slime cannot settle quickly during the process of concentration and pressure filtration, the overflow water concen...

Claims

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Application Information

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IPC IPC(8): G05B13/04B01D37/03B01D37/04C02F1/52
CPCB01D37/03B01D37/04B01D37/043C02F1/5209C02F2209/001G05B13/042
Inventor 王然风董志勇付翔李伟高红森王跃
Owner 山西理工智联科技有限公司
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