Study on the intelligent soft sensing method for sewage disposal system

Abstract

Intelligent soft sensing method based on the radial basic function (RBF) neural network for water quality of outlet in SBR sewage disposal process, and the structure and simulation of RBF neural network are proposed in this paper. The problems that are difficult to establish mathematic model of SBR process and to apply real- time control in SBR system can be solved through adopting the soft sensing and fuzzy control method. This creates an essential condition for the real time control in sewage disposal process. The result shows that the simulated RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR, and the model can be used to predict the practical water quality sample output The simulation result indicates that it is feasible for using RBF neural network to establish soft-sensing model and the model is correct and rational.