摘要
污水生化处理过程机理复杂,具有强耦合性、非线性、时变性等特征,传统的优化控制方法难以有效应用,智能算法的引入有力推动了污水生化处理研究的发展。本文综述了智能算法在污水生化处理系统中的应用研究进展,概述了智能算法在污水生化处理系统中的应用现状及其存在的问题,主要包括异常数据检测、水质预测、模型参数估计和解耦控制四个方面,并指出了今后进一步研究的方向。
The process of wastewater biochemical treatment is complicated and has the characters of being non-linear, strong coupling and time varying system, so it cannot be effectively dealt with by traditional optimization and control methods. The introduction of intelligent algorithms is a strong impetus for the de- velopment of wastewater treatment researches. This paper summarizes the research progress of the applica tion of intelligent algorithms to wastewater treatment system and presents a detailed review of questions and research methods in wastewater treatment system,including anomaly data detection,water quality pre- diction, the parameter estimation of activated sludge model and decoupling control. At the end, the paper al- so points out several potential research directions in future.
出处
《安全与环境工程》
CAS
北大核心
2013年第5期74-79,共6页
Safety and Environmental Engineering
基金
教育部科学技术研究重点项目(212135)
广西自然科学基金项目(2012GXNSFBA053165)
广西教育厅科研项目(201203YB131)
广西工学院博士基金项目(院科博11Z09)
关键词
污水生化处理
智能算法
异常数据检测
水质预测
参数估计
解耦控制
biological wastewater treatment
intelligent algorithm
anomaly data detection
water qualityprediction
parameter estimation
decoupling control
