Study on Activated Sludge Wastewater Treatment Process Intelligent Control Based on Soft-sensing

Aiming at the difficult of the control system for activated sludge wastewater treatment, the intelligent control strategy based on soft-sensing is proposed. By using the method of soft-sensing and distribute neural network respective, the soft-sensing models are built. From the point of the growth and progentiting of the microbe, discusses and completes the intelligent control soft-sensing secondary variable selecting. By analyzing the growth and propagating of the activated sludge microbe, the output of the experiment indicates that the precision of soft-sensing model is high enough to use, thus, approve the correctness. The result of imitating indicates that the practicability and validity of research way, then points out that the on-line real-time computing was the direction in the future research.