The Method of Soft Sensing Based on RBF Neural Network and Intelligent Control for Sewage Disposal Process

摘要

Soft sensing method was proposed for determination of effluent BOD from SBR and its principle was introduced, the method was based on the radial basic function (RBF) artificial neural network. The RBF neural network was trained and simulated by a lot of observed data, and the result showed that the RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR, so as to create condition for real-time control of sewage disposal process, showing abroad perspective in application. The fuzzy control method for DO in SBR sewage disposal process was represented, and the aeration time and the energy consuming according to different DO curves were also studied. DO can be controlled in real time by the fuzzy logical to change the frequency of motor. Then we can adjust the concentration of DO according to different DO curves, and get the obvious advantages in shortening time of wastewater treatment and reducing energy consume.