关键词: 神经网络, A/O脱氮, 低碳氮比, 外加碳源

Abstract: In this paper, the simulation of external carbon addition was studied in the continuous flow anoxic/oxic(A/O) nitrogen removal process for domestic wastewater of low carbon∶nitrogen(C/N). It is difficult to develop a parametric model for the complex non-linear relationship among additional carbon dosage, total recycling rate and effluent total nitrogen concentration in a treatment system, which makes it hard to turn the control strategies into reality. Aiming at this problem, back-propagation neural network(BPNN) was introduced into the research.A non-parametric model was developed by the training of BPNN with the experimental data. The external carbon dosage could be optimized with the model based on neural network. It provided an alternative way to the realization of on-line optimal control of a wastewater treatment system.

Key words: 神经网络, A/O脱氮, 低碳氮比, 外加碳源