基于软测量的SBR污水处理自控系统的设计与实现

Design and Implementation of Auto-control System for SBR Wastewater Treatment Based on Soft Measurement

针对SBR污水处理工艺中控制系统不能有效控制除磷剂投加量的问题,设计了基于软测量的SBR污水处理自控系统。通过对水质参数的分析,确定适合的辅助变量,利用GA-BP神经网络软测量技术实现对总磷含量的实时预测,基于软测量的SBR污水处理控制系统以预测总磷含量作为系统反馈值,实现对除磷剂投加量的闭环控制。实验结果表明:该系统可以减少除磷剂的投加量,避免了过量投加试剂的危害,使SBR工艺稳定运行。

Considering the control system’s inefficiency in effectively controlling dephosphorization agent’s dosage in sequencing batch reactor(SBR)wastewater treatment process,a soft measurement-based auto-control system for SBR wastewater treatment was designed,in which,through analyzing the water quality parameters,the suitable auxiliary variables can be determined,and the GA-BP neural network soft measurement technology can be used to realize real-time prediction of the total phosphorus value;meanwhile,the soft measurement-based SBR sewage treatment control system can take the predicted total phosphorus content as the system feedback value to achieve a closed loop control of the phosphorus removal agent dosage.Experimental results show that,this control system can reduce the dephosphorization agent dosage to avoid the harm caused by excessive dosage of reagents and to make the SBR process run stably.