Soft-measuring approach to on-line predict BOD based on PCA time-delay neural network

摘要

In monitoring and controlling wastewater treatment processes, on-line information of some essential wastewater parameters is inaccessible. In order to acquire the real time data and contribute to real time closed loop control, a soft-measuring approach applied in wastewater quality measurement is put forward based on PCA time-delay neural network. It is composed of three elements: principal components analysis, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP. This model, which is of good real-time property, good stability, high precision and easy updating, can be applied to on-line predict wastewater BOD.