Optimization of the aluminum electrolysis process by mathematical modeling of process algorithms on cleaned data

Abstract

The article discusses the issues of construction of a digital model of aluminum electrolysis modes. Target hypotheses identified as priority ones have been worked out: recommendations for AlF3 supply, forecast of the electrolyzer overhaul. For the selected hypotheses, models have been built and studies on an expanded data set have been carried out. The results of the work showed that the models have been trained and are ready for use with the required accuracy of obtaining the results. In addition, prototypes of management systems for influencing tools have been built, control parameters have been determined. The scenarios for use of models in real production have been identified and described. The results at this stage allow starting a full-fledged production experiment, which will make it possible to determine the parameters of models introduction into production processes.