Research On The Model Of Prebaked Aluminum Electrolyte's Temperature Forcast

In the Aluminum electrolysis process, the electrolyte temperature is one of the most direct and important factors that can affect the efficiency of electrolytic.Therefore, the prediction model of electrolysis temperature is significant for promoting energy conservation and emission reduction of electrolytic aluminum industry. Since the melted electrolyte in the aluminum tank with high temperature, strong corrosive that can short the life of the conventional thermocouple used to measure the temperature. Also the problem makes the high costs. In the other hand, the traditional temperature measurement is very difficult to achieve the electrolyte temperature on-line measurement. So the research on the fast and accurate temperature measurement which can improve the current efficiency is very important.After analyzing the production process of the aluminum electrolysis tank, the affect factors of the electrolyte temperature was studied in this paper. Process for the complexity of aluminum electrolysis, the voltage, The level of molten aluminum, time interval of the anode replacement, times of the AlF3 addition, times of the Al2O3 addition and anode effect were chosen as the appropriate assistant variables. The paper uses simulative software to training data group and a support vector machine was built to carry out on-line and real-time prediction of the electrolyte temperature.To solve the problem of inaccurate parameter in the SVM, genetic algorithms is introduced to optimize the model. The genetic algorithms has search optimization, which was used to optimize penalty factor of SVM was introduced.The results show that, the soft senor model and prediction estimation of electrolyte temperature can be obtained based on SVM and the structure is simple. After optimized by genetic algorithms, the accuracy was significantly enhanced. The deterministic coefficient which is an important evaluation index of model was improved. The research of the paper has an important significance on the study of measurement method of electrolyte temperature.