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Artificial neural network real‐time process control system for small utilities
This article presents the final results from an Awwa Research Foundation project to implement an artificial intelligence real‐time automatic control system for a full‐scale dissolved‐air flotation (DAF) water treatment plant. The system developed through study used an artificial neural network to model the DAF clarifier and was integrated with the plant supervisory control and data acquisition system for real‐time control. The system was found to be robust and flexible, and it adapted well to fast‐changing raw water conditions and different coagulants. Once established, the system ran the plant continuously, as if an expert were in control, providing quality drinking water with minimum operator intervention. The system was also capable of optimizing chemical dosage and reducing the costs of production.
Artificial neural network real‐time process control system for small utilities
This article presents the final results from an Awwa Research Foundation project to implement an artificial intelligence real‐time automatic control system for a full‐scale dissolved‐air flotation (DAF) water treatment plant. The system developed through study used an artificial neural network to model the DAF clarifier and was integrated with the plant supervisory control and data acquisition system for real‐time control. The system was found to be robust and flexible, and it adapted well to fast‐changing raw water conditions and different coagulants. Once established, the system ran the plant continuously, as if an expert were in control, providing quality drinking water with minimum operator intervention. The system was also capable of optimizing chemical dosage and reducing the costs of production.
Artificial neural network real‐time process control system for small utilities
Zhang, Qing J. (Autor:in) / Shariff, Riyaz (Autor:in) / Smith, Daniel W. (Autor:in) / Cudrak, Audrey (Autor:in) / Stanley, Stephen J. (Autor:in)
Journal ‐ American Water Works Association ; 99 ; 132-144
01.06.2007
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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