基于LabVIEW的污水处理过程动态仿真研究  

Research on dynamic simulation of activated sludge process based on LabVIEW

作　　者：乔俊飞[1] 韩红桂[1] 张颖[1] 

机构地区：[1]北京工业大学电子信息与控制工程学院,北京100022

出　　处：《仪器仪表学报》2008年第4期879-882,共4页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(60674066);北京市科技新星计划(H020821210120);国家863计划(2007AA04-Z160)资助项目

摘　　要：在国际公认的活性污泥1号模型(ASM1)数学方法建模基础上,引入了智能方法,利用增长型模糊神经网络算法建模与数学建模相结合对其进行改进处理,在数学方法建模方法的前提下,借助增长型模糊神经网络算法所具备的模糊和学习功能,对活性污泥处理过程进行建模,获得了能够反映二沉池出水水质的关键水质参数的简化模型。同时,利用LabVIEW软件平台对该改进模型进行验证,通过对污水关键水质参数COD、BOD5等进行仿真实验,证明了该模型系统的有效性。Based on the international accepted activated sludge model ASM1 that is only modeled with mathematics method, we introduce an intelligent method, which improves the model by combining the growing fuzzy neural network algorithm and mathematics method. Undeer the precondition of mathematic modeling method, a simplified model for activated sludge process is obtained in virtue of the fuzzy and learning capabilities in growing fuzzy neural network algorithm, and the model can reflect the main output of water quality parameters. Besides, we use the LabVIEW software to simulate the key parameters COD, BOD5 and others water quality parameters in activated sludge process with this model. The results prove that this modeling system is effective.

关 键 词：仿真 活性污泥法 曝气池 二沉池 模糊神经算法 

分 类 号：X703[环境科学与工程—环境工程] TP11[自动化与计算机技术—控制理论与控制工程]