Operating parameter optimizing method for alumina calcination process

Abstract

The invention discloses an operating parameter optimizing method for the alumina calcination process. The method comprises the following steps of 1, collecting a plurality of set of original data; 2, performing abnormal value removal and noise reduction on the original data collected in step 1, to obtain normal data for modeling; 3, utilizing a least square support vector machine for building a calcination temperature prediction model on the data obtained in step 2; 4, according to the actual production requirement, building a calcination process operating parameter optimizing model; 5, adopting an improved chaos grey wolf optimization algorithm for resolving the optimizing model built in step 4, obtaining the best combination of operating parameters, and adjusting working conditions. The calcination temperature can be accurately predicted, the operating parameter optimizing set value can be obtained, calcination temperature fluctuations are reduced, energy consumption in the production process is lowered, and intelligent optimizing control over the alumina calcination process is achieved.

Description

technical field [0001] The invention relates to the technical field of industrial automatic control. In particular, it relates to an optimization method for operating parameters in an alumina roasting process based on an improved chaotic gray wolf optimization algorithm. Background technique [0002] The alumina roasting process is a very critical and final process in the production of alumina by the Bayer method, accounting for 10% of the total energy consumption. Its main task is to wet the aluminum hydroxide with attached water and crystal water obtained in the decomposition process, through a series of drying, preheating, high-temperature roasting, and cooling to obtain alumina products that meet the requirements, and its control level is very large. To a certain extent, it determines the quality output and production energy consumption of alumina products. [0003] At present, domestic aluminum factories mainly adopt the traditional method: the operator judges the pro...

AI Technical Summary

Problems solved by technology

Basically, the goal of saving energy and reducing consumption is achieved by transforming the structure and process of the roasting system and other related technologies. There is no patent related to the modeling and optimization of the roasting temperature in the alumina production process.

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