Artificial neural networks for cost optimization of coagulation, sedimentation and filtration in drinking water treatment

被引：2
|
作者：
Mälzer, H.-J. [1 ]
Strugholtz, Silke [2 ]
机构：
[1] IWW Water Centre, Moritzstr. 26, 45476 Mülheim an der Ruhr, Germany
[2] University of Duisburg-Essen, Bismarckstr. 91, 47057 Duisburg, Germany
来源：
Water Science and Technology: Water Supply | 2008年 / 8卷 / 04期
关键词：
Cost reduction - Process control - Potable water - Neural networks - Optimization - Water filtration - Chemical water treatment;
D O I：
10.2166/ws.2008.086
中图分类号：
学科分类号：
摘要：
The applicability of Artificial Neural Networks (ANN) for process and costs optimization in drinking water treatment by coagulation, sedimentation and rapid filtration was investigated. The results showed that besides a considerable cost reduction, an improvement of process safety and stability can be expected. For further testing, the ANN will be installed at a water treatment plant for online coagulation control and process optimization. © IWA Publishing 2008.
引用
收藏
页码：383 / 388
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