Anode effect prediction method based on local effect detection

In view of the situation that the current anode effect prediction methods can not cover all types of anode effects, or the anti-interference ability is poor, or the prediction advance is very small, this paper proposes a method to predict the global anode effect based on the local effect detection, that is, by using the local signal before forming the global anode effect instead of the cell voltage of the whole cell, the local or local anode effect can be detected Anode effect in local anode. Therefore, based on the internal structure of aluminum reduction cell, we divide the area. Then, the potential periodicity of anode current is obtained by analyzing the power spectrum of anode current. Finally, a local effect detection model based on data fusion method is used to predict the occurrence of global effects. The effectiveness of the algorithm is illustrated by the anode current data measured on-line during the actual operation of aluminum electrolysis.