工业水处理 ›› 2003, Vol. 23 ›› Issue (5): 9-12. doi: 10.11894/1005-829x.2003.23.(5).9

• 专论与综述 • 上一篇    下一篇

污水处理过程的模糊神经网络控制

刘建勇1, 薛罡2, 刘中平3, 周雪飞1, 顾国维1   

  1. 1. 同济大学污染控制与资源化研究国家重点实验室,上海 200092;
    2. 东华大学环境科学与工程学院,上海 200051;
    3. 石家庄铁道学院建筑设计院,河北 石家庄 050043
  • 收稿日期:2002-09-09 出版日期:2003-05-20 发布日期:2010-10-01
  • 作者简介:刘建勇(1973- ),同济大学在读博士,联系电话:021-65987792,E-mail: hnmljy@163.net.
  • 基金资助:

    国家自然科学基金重点资助项目(50138010),上海市重点学科资助项目

Fuzzy neural network control used in the process of sewage water treatment

Liu Jianyong1, Xue Gang2, Liu Zhongping3, Zhou Xuefei1, Gu Guowei1   

  1. 1. State Key Laboratory of Pollution Control and Resource Reuse,Tongji University, Shanghai 200092,China;
    2. School of Environmental Science and Engineering, Donghua University, Shanghai 200051,China;
    3. Architecture Designing Institute, Shijiazhuang Railway Institute, Shijiazhuang 050043,China
  • Received:2002-09-09 Online:2003-05-20 Published:2010-10-01

摘要:

模糊神经网络(FNN)技术的迅速发展及其理论的不断完善为其在各个领域的应用奠定了基础。分析了FNN用于污水处理系统过程控制的可行性和必要性。简述了模糊系统和神经网络在污水处理中应用的现状。指出针对不同污水处理工艺建立不同综合(集成)智能控制系统是污水生物处理过程控制的主要研究方向,同时应加强对污水处理的活性污泥数学模型、通用性预测与故障分析系统、“软测量”技术及在线生物传感器等相关理论与技术的研究。

关键词: 污水处理, 智能控制, 模糊控制, 神经网络控制

Abstract:

The rapid development of fuzzy neural network technology and the continuous consummation of its theory establish a stable basis for its application to many fields. The feasibility and necessarity to control wastewater treatment by using FNN technology are analyzed. The present situation of the application of fuzzy system and neural networks in wastewater treatment is simply described. It is pointed out that the main developing direction of wastewater bio treatment process control is to set up different integrated intelligent control systems aiming at different treatment processes. At the same time, studies should be enhanced on Activated Sludge Model, prediction and fault analysis system, "soft measurement" technology and online bio sensors.

Key words: wastewater treatment, intelligent control, fuzzy control, artificial neural networks control

中图分类号: