EVALUATION OF MODELING TECHNIQUES FOR WASTE-WATER TREATMENT-PLANT AUTOMATION

被引：13

作者：

CAPODAGLIO, AG

机构：

来源：

WATER SCIENCE AND TECHNOLOGY | 1994年 / 30卷 / 02期

关键词：

WASTE-WATER TREATMENT; MODELS; CONTROL; STOCHASTIC MODELS; ARTIFICIAL NEURAL NETWORKS;

D O I：

10.2166/wst.1994.0038

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Wastewater treatment plant automation and real-time control have become important topics of research and development. Real-time control is nowadays considered a desirable goal for medium- to large-sized utilities for attaining better treatment efficiencies and improved compliance with discharge permit limitations. For an efficient implementation, real-time control must be supported by adequate modelling methodologies that take into full account the dynamic properties of the treatment system. This paper evaluates the requirements of such applications and the properties of available modelling approaches. Some applications examples are discussed.

引用

页码：149 / 156

页数：8

共 24 条

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