Copper flash smelting operation parameter optimization method

A technology of flash smelting and operating parameters, applied in flow control, non-electric variable control, instruments, etc., can solve the problems of deviation between the mechanism model and the actual system, difficulty in ensuring the accuracy of the mechanism model, and inability to effectively ensure the stability of control variables.

Inactive Publication Date: 2008-03-12
CENT SOUTH UNIV
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Problems solved by technology

This mechanism-based method is based on certain assumptions, and there is a gap between these assumptions and the actual situation, which leads to the deviation between the mechanism model and the actual system; in addition, many parameters in the mechanism model are taken as constants or empirical values, which is more It is difficult to guarantee the accuracy of the mechanism model
Therefore, the operating parameters obtained based on this mechanism model cannot effectively guarantee the stability of the control variables

Method used

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  • Copper flash smelting operation parameter optimization method
  • Copper flash smelting operation parameter optimization method
  • Copper flash smelting operation parameter optimization method

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Embodiment Construction

[0013] As shown in Fig. 1, the present invention uses a mechanism model and an intelligent optimization model to optimize the operating parameters respectively, and then integrates the two groups of optimization results through an intelligent coordinator to obtain the final optimization result of the operating parameters. The optimization results are output to the flash smelting control system. After the flash smelting process, the actual measurement values ​​of the three parameters of copper matte temperature, copper matte grade, and iron-silicon ratio in slag are judged by using the working condition judgment model: if the current comprehensive working condition If it is optimal, the current working condition parameters and operating parameters have just been stored in the operation optimization sample library; if the current working condition is not optimal, the mechanism model will be corrected by using the measured values ​​of copper matte temperature and copper matte grade...

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Abstract

The invention provides a method for optimizing operation parameters in the flash smelting of copper. The invention is aimed at the optimization of the stability in comprehensive operation condition in flash smelting, sets up a mechanism model and an intelligent optimizing model based on a fuzzy C mean clustering chaos pseudo parallel genetic algorithm, and carries out coordinated outputting for the optimized result of the two models by way of intelligent integration. The method can get the optimal operation parameters in the flash smelting of copper, that is, the optimal charge of hot blast and oxygen in a reaction tower of a flash smelting furnace.

Description

technical field [0001] The invention belongs to the optimization technology of operation parameters, in particular to the optimization technology of copper flash smelting operation parameters. Background technique [0002] The current copper flash smelting control technology is generally based on a static model based on material balance and heat balance derived under certain assumptions, and the basic value of the operating parameters that stabilize the control variable at the target value is obtained through this model. Then, according to the deviation between the measured value and the target value of the control variable, the correction value of the operation parameter is obtained through the feedback mathematical model, and the basic value and correction value of the operation parameter are output comprehensively to adjust the operation parameter to achieve the purpose of stabilizing the control variable. This mechanism-based method is based on certain assumptions, and t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C22B15/00G05D7/00
Inventor 桂卫华阳春华谢永芳李勇刚胡志坤顔青君王雅琳朱红求彭晓波
Owner CENT SOUTH UNIV
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