| MIMO最小二乘支持向量机污水处理在线软测量研究 |
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| 引用本文： | 黄银蓉,张绍德.MIMO最小二乘支持向量机污水处理在线软测量研究[J].自动化与仪器仪表,2010(4):15-17. |
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| 作者姓名： | 黄银蓉 张绍德 |
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| 作者单位： | 安徽工业大学电气信息学院,安徽马鞍山,243002 |
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| 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。
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| 关 键 词： | 最小二乘支持向量机（LSSVM） 微粒子群算法（PSO） 污水指标 软测量 |
Online soft measurement for wastewater treatment based on MIMO least squares support vector machine |
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| HUANG Yin-rong,ZHANG Shao-de.Online soft measurement for wastewater treatment based on MIMO least squares support vector machine[J].Automation & Instrumentation,2010(4):15-17. |
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| Authors: | HUANG Yin-rong ZHANG Shao-de |
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| Affiliation: | HUANG Yin-rong,ZHANG Shao-de |
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| Abstract: | 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. |
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| Keywords: | Least squares support vector machine （LSSVM） Particle swarm optimization algorithm （PSO） Wastewater index Soft measure |
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