摘要
污水处理系统是一个包含海量信息的非线性复杂系统。针对污水处理出水水质BOD(生物化学需氧量)、COD(化学需氧量)、TN(总含氮量)等难以在线实时检测等问题,建立了基于在线MIMO-LSSVM(多输入多输出最小二乘支持向量机)和PSO(微粒子群算法)的污水处理软测量模型。仿真结果表明,建立的软测量模型精度高、速度快,能很好地实现污水处理出水指标COD、BOD、TN等参数的实时测量和估计,为污水处理的实时在线控制创造必要的前提条件。
Wasterwater treatment system is a complex non-linear system containing a huge amount of information.The wastewater quality parameters （such as BOD,COD,TN and so on） can not be monitored online or realtime,which has affected the effectiveness of wastewater treatment.In this paper,soft-measurement technology based on particle swarm optimization algorithm （PSO） and Online MIMO Least Squares Support Vector Machine to online-measurement of wastewater treatment is established,which has been applied to the online and realtime measurement for the real wastewater treatment processes and satisfactory results are obtained.
出处
《自动化与仪器仪表》
2010年第4期15-17,共3页
Automation & Instrumentation
