摘要
从系统控制的角度对污水生物处理系统的特点进行了分析,并针对时变性、非线性、复杂性和不确定性的特点提出应用人工智能技术对其进行智能控制是实现城市污水处理系统自动控制.对智能控制的主要分支模糊控制、神经网络控制和专家系统的结构组成及特点进行了分析,并将国内外专家学者将智能控制技术应用于污水生物处理系统的概况作了较详尽的归纳总结.分析结果表明智能控制技术发展迅速并且应用领域遍及污水生物处理的各个层面,且取得了良好的效果,证实了应用智能控制技术是实现污水生物处理系统自动控制的有效方法.
From the standpoint of system control, some features of wastewater biological treatment processes were discussed, and according to its characters of time-varying, nonlinearity, complexity and uncertainty it was presented that intelligent control was an effective method that can be used to achieve the automatic control of urban wastewater treatment system. The architecture, composition and trait of fuzzy control, neural networks control and expert system, main branch of intelligent control, were analyzed. The applications of intelligent control technology in wastewater treatment processes are discussed. The results showed that intelligent control technology has been permeated into nearly all aspects of biological wastewater treatment and performed well, which testifies that application of intelligent control (IC) technology was an effective way achieving on automatic control of wastewater biological treatment system.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2004年第3期328-330,374,共4页
Journal of Harbin Institute of Technology
基金
国家自然科学基金重点资助项目(50138010)
北京市教委科技计划重点资助项目(KZ20031005003)
国家"十五"重点科技资助项目(2003BA806804).
关键词
智能控制
城市
模糊控制
神经网络控制
污水生物处理
人工神经网络
Automation
Biological water treatment
Expert systems
Fuzzy control
Intelligent control
Neural networks
