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Kaldo furnace parameter optimization control method based on fuzzy clustering genetic algorithm

A genetic algorithm and control method technology, applied in the field of integrated intelligent control system, can solve problems such as large amount of calculation, many steps, and unsatisfactory system control accuracy and system execution speed, and achieve the effect of speeding up the search speed and avoiding slow convergence speed.

Inactive Publication Date: 2015-11-11
TONGLING NONFERROUS DESIGN & RES INST
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Problems solved by technology

However, this invention has many steps and a large amount of calculation, and the control precision and execution speed of the system are not ideal enough

Method used

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  • Kaldo furnace parameter optimization control method based on fuzzy clustering genetic algorithm
  • Kaldo furnace parameter optimization control method based on fuzzy clustering genetic algorithm
  • Kaldo furnace parameter optimization control method based on fuzzy clustering genetic algorithm

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] like figure 1 As shown, the present invention takes the stability of the comprehensive working conditions of the Kaldo furnace as the control target, takes the main factors affecting the Kaldo furnace as the research object, and uses an optimization control method to find the optimal addition of coke powder, soda and gas in order to simplify the algorithm.

[0038] Using the fuzzy C-means clustering genetic algorithm to optimize the addition of coke powder, soda, and gas respectively, compare the optimization results with the actual measured values ​​of the Kaldor furnace and adjust them through the controller, and then adjust the adjusted coke powder, soda , The amount of gas added is judged by the adjustment value of the added amount of coke powder, soda and gas in the working condition judgment model:

[0039] Since the amount of coke powder, soda, and gas a...

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Abstract

The invention discloses a Kaldo furnace parameter optimization control method based on a fuzzy clustering genetic algorithm. The method comprises the following steps: carrying out optimization on adding quantity of coke powders, soda and fuel gas by utilizing a fuzzy C-mean clustering genetic algorithm; making a comparison between the optimization result and the actually-measured value of working condition of a Kaldo furnace and carrying out adjustment through controllers; then, carrying out judgment on adjustment values of the adding quantity of coke powders, soda and fuel gas according to the adding quantity of coke powders, soda and fuel gas obtained after adjustment by utilizing a working condition judgment model; if current comprehensive working condition index is in an "excellent" interval, keeping the current operating parameter; and if the current comprehensive working condition index is in a "non-excellent" interval, calling an operating parameter optimization model to give operation optimization guidance. The beneficial effects of the method are that the problem that it is difficult to establish an industrial on-line control mechanism model due to high temperature, complex reaction and varied and undetermined factors in the working process of the Kaldo furnace is effectively solved.

Description

technical field [0001] The invention relates to the field of integrated intelligent control systems, in particular to a parameter optimization control method for a Kaldor furnace. Background technique [0002] The Kaldo furnace was developed by the Swedish Boliden company in the last century. It adopts oxygen-enriched top blowing technology and is widely used in the non-ferrous metallurgical industry to process lead concentrate, copper waste and anode slime. Copper anode slime is the muddy fine-grained substance that falls on the bottom of the electrolytic tank during the electrolytic refining of copper, containing more Cu, S, Ag, Pb, Te and some Au, Sb, Bi, As and gangue minerals. The treatment of copper anode slime can recover valuable rare metals, which is a typical representative of the comprehensive utilization and recovery of precious metal resources at the present stage, and is in line with national industrial policies. [0003] Due to the simple process of processin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04F27D19/00
Inventor 卜玉明胡头根
Owner TONGLING NONFERROUS DESIGN & RES INST
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