techniques in wastewater treatment plants managment
Departament de Llenguatges i Sistemes Informàtics
Universitat Politècnica de Catalunya
Edifici C5-Campus Nord
C/ Jordi Girona 1-3
08034 Barcelona, Catalonia, Spain
Departament d'Enginyeria Química
Universitat Autònoma de Barcelona
08193 Bellaterra (Barcelona), Catalonia, Spain
Laboratori d'Enginyeria Química i Ambiental.
Facultat de Ciències
Universitat de Girona
Campus de Montilivi
17071 Girona, Catalonia, Spain
article, presents the main knowledge-based techniques of Artificial Intelligence
used for wastewater treatment plants (WWTP) management, and also, points to some real applications.
a survey of WWTP describes the complexity of the system being modelled and
outlines its difficulties. The activated sludge process the main biological technology usually applied to WWTP directly depends on live beings (microorganisms),
and therefore, on changes experimented by them. It could be possible
to get a good plant operation if the supervisory control system is able to react
to the changes and deviations of the system and can take the necessary actions 3
restore the system's performance. These decisions are often based both in Physical,
Chemical, Microbiological principles (suitable to be modelled by conventional
control algorithms) and in the experience acquired from similar situations,
previously detected and solved (not included in such classical control models).
So, these features reveal that supervision and control of activated sludge processes,
could only be treated in a multi-disciplinary way, that includes: monitoring
(sensor developing, continuous analysis equipment, real time), modelling
(equations that model the bioreactors' behaviour), control (maintaining good
effluent water quality and reducing operation costs), qualitative information (microbiological
information, water colour and odour, water appearance, etc.) and expert
knowledge (supplied by the large experience from plants' managers, biologists
and operators). Both last features, commonly provide the systems with incomplete, uncertain or approximate information.
some basic ideas about Automatic Process Control, Artificial Intelligence
and Real Time Systems are exposed. Next sections describe the most usual
knowledge-based AI techniques applied to WWTP, as well as several applications:
Decision-aided systems, Expert systems, Knowledge-based systems and
Distributed intelligent systems. Finally, an example of a real application's architecture is detailed (DAI-DEPUR).
Expert systems, Knowledge-based systems, Intelligent decision support
systems, Expert control systems, Distributed intelligent systems, Distributed
Artificial Intelligence, Artificial Intelligence, Wastewater treatment, Wastewater
treatment management, Wastewater treatment applications, Chemical Engineering, Environmental Engineering.
M. SÓnchez, U. CortÚs, J. Lafuente, I. R.-Roda, and M. Poch, "Knowledge-based
techniques in wastewater treatment plants managment". Submitted to Enciclopedia of
Life Support Systems (EOLSS). September, 1995.
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