Intelligent integrated modelling approach based on operating condition judgment

A modeling method and predictive model technology, applied in the direction of instrumentation, adaptive control, control/regulation system, etc., can solve the problems of complex structure and operation of flash furnace, difficulty in detecting matte grade, high temperature in the furnace, etc.

Inactive Publication Date: 2009-01-28
CENT SOUTH UNIV
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Problems solved by technology

However, due to the complex structure and operation of the flash furnace, the temperature in the furnace is as high as 1300°C, so it is difficult to detect the matte grade online in real time
At present, the grade of matte is obtained through chemical analysis, usually every 5-8 hours, so there is a large lag, which cannot meet the requirements of real-time control

Method used

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  • Intelligent integrated modelling approach based on operating condition judgment
  • Intelligent integrated modelling approach based on operating condition judgment
  • Intelligent integrated modelling approach based on operating condition judgment

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Embodiment 1

[0017] The specific steps of establishing the matte grade prediction model are as follows:

[0018] Step 1: Acquisition of relevant data

[0019] In order to predict the matte grade, it is necessary to select some data that has a great influence on the matte grade and can be obtained in real time as input, and calculate the matte grade through model calculation. Through the analysis of the process mechanism of the copper flash smelting process, it is known that the main factors affecting the grade of matte include the chemical composition of the materials entering the furnace, the air volume and oxygen volume during the smelting process.

[0020] Furnace feed materials include: concentrate, slag concentrate, indeterminate material, silicate ore, converter soot, converter boiler soot, dry soot, boiler soot, electric dust collector soot; its main components are iron, copper, sulfur, oxygen and di Silica, obtained by chemical analysis every four hours. In general, the compositi...

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Abstract

The invention relates to an intelligent integrated modeling method based on working condition judgment, which establishes a matte grade prediction model based on the working condition judgment during the flash smelting process. The invention selects the ingredient, blast volume and oxygen demand of material sent into a furnace as the input of a model after analyzing copper flash smelting production technology and relevant factors influencing matte grade to predicate the matte grade. Firstly, a mechanism model of the matte grade is established based on material balance, a fuzzy neural network model of the matte grade is established by utilizing historical data, and on the basis, the integrated prediction model of the matte grade is established by adopting an intelligent coordination strategy on the basis of the judgment of the working condition stability situation. By utilizing the model, the problem of difficult online detection of the matte grade is effectively solved, and the prediction of the matte grade is realized, thus having important significance to the realization of the optimized instruction of the copper flash smelting process.

Description

technical field [0001] The invention relates to a modeling method for a key parameter prediction model of a complex process, in particular to the establishment of a matte grade prediction model for a copper flash smelting process. Background technique [0002] Flash smelting is the most important copper smelting method in the world today. In actual production, the operator adjusts the process parameters of the flash smelting process according to the grade of the smelting product—copper matte, so as to realize the online control of the flash smelting process, thereby ensuring the output and quality. However, because the structure and operation of the flash furnace are very complex, and the temperature in the furnace is as high as 1300°C, it is difficult to detect the matte grade online in real time. At present, the grade of matte is obtained through chemical analysis, usually every 5-8 hours, so there is a large lag, which cannot meet the requirements of real-time control. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C22B15/00G05B13/02
Inventor 桂卫华阳春华李勇刚鄢锋宋海鹰彭晓波
Owner CENT SOUTH UNIV
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