Abstract
The soft sensor model for heterogeneous information is presented because of the difficulty of online acquiring heterogeneous information of aluminum reduction cells. Firstly many redundancy samples are optimized by Fuzzy C-Means in order to acquire classified samples. Then dynamic process of heterogeneous information of aluminum reduction cells is modeled by multiple neural networks. Finally soft sensor model for heterogeneous information of aluminum reduction cells is developed. The model was used in 320 KA prebaked aluminum reduction cells in Guangxi Branch of China Aluminum Corporation. The results indicate that there are three types of instabilities for aluminum reduction cells: single anode irrationality, parameters irrationality of heat balance and outside operations. Corresponding measures to eliminate the three types of instabilities for aluminum reduction cells are the following: raising the anode, adjusting the parameters of heat balance and improving the operation of changing anode and taping metal.
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