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A decision-making method in the process of industrial aluminum electrolysis

A decision-making method and technology of industrial aluminum, applied in the field of aluminum electrolysis, can solve problems such as unfavorable parameter optimization and huge rule base, and achieve the effects of reducing the anode effect coefficient, improving management technology, and increasing current efficiency

Inactive Publication Date: 2016-05-18
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, fuzzy expert systems that consider various factors are also used in factories, but the rule base is too large, which is not conducive to parameter optimization.

Method used

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  • A decision-making method in the process of industrial aluminum electrolysis
  • A decision-making method in the process of industrial aluminum electrolysis

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Experimental program
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Embodiment Construction

[0015] First, a decision-making diagram is made based on the equivalent superheat and the temperature during electrolysis. The equivalent degree of superheat is 0 to 30, divided into 4-8 equal parts, and the temperature is taken from -10 degrees to 20 degrees of the reference temperature, divided into 4-8 equal parts. The width of each equal part is 1 to 5 degrees. The actual amount of aluminum output and the amount of aluminum fluoride added are divided into 5-8 equal parts according to the minimum value to the maximum value.

[0016] The higher the degree of superheat and the lower the temperature, the less the amount of fluoride salt added; the lower the degree of superheat and the higher the temperature, the more amount of fluoride salt added; State diagrams for decision making. Different areas can be painted with different colors, different states are located in different color areas, and the amount of decision-making is different.

[0017] The fluoride salt addition i...

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Abstract

The invention discloses a decision method in industrial aluminum electrolysis process. The decision method comprises the following steps: (1) construction of an aluminum fluoride addition decision diagram: according to experiential data, dividing a rectangular zone, formed by temperature and equivalent superheat degree range values, into a plurality of non-overlapped blocks, and labeling the addition amount of aluminum fluoride in each block; (2) according to experiential data, dividing a rectangular zone, formed by temperature and aluminum range values, into a plurality of non-overlapped blocks, and labeling the yield of aluminum in each block; and (3) according to an aluminum fluoride addition decision diagram and an aluminum yield decision diagram, judging the addition amount and of the aluminum fluoride and the aluminum yield. The stable control over the superheat degree, aluminum level and the temperature can be realized by combining visualized labels with decisions.

Description

technical field [0001] The invention relates to the field of aluminum electrolysis, in particular to a decision-making method in the process of industrial aluminum electrolysis. Background technique [0002] In the production process of aluminum electrolysis, the stable condition of the tank is the foundation, the temperature is the core, and the electrolyte composition is the key. In the process of electrolysis, the state of the electrolytic cell needs to be divided into multiple cell conditions, and different cell conditions adopt different decisions. [0003] At present, the decision-making system of craftsmen and fuzzy experts is based on the electrolysis temperature, aluminum level, electrolyte level, molecular ratio, furnace bottom pressure drop, actual aluminum output, aluminum fluoride addition, working voltage and other data of the electrolytic cell in the recent period of time. To a large extent, human experience plays a decisive role in determining the amount of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C25C3/20
Inventor 曾水平琚廷瑞姜晓聪张秋萍
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY