DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision

Authors

Miquel Sànchez-Marrè miquel@lsi.upc.es
Ulises Cortés ia@lsi.upc.es

Departament de Llenguatges i Sistemes Informàtics
Universitat Politècnica de Catalunya
Edifici C5-Campus Nord
C/ Jordi Girona 1-3
08034 Barcelona, Catalonia, Spain

Javier Lafuente lafuente@uab-eq.uab.es

Departament d'Enginyeria Química
Universitat Autònoma de Barcelona
Edifici C
08193 Bellaterra (Barcelona), Catalonia, Spain

Ignasi R-Roda eqairr@fc.udg.es
Manel Poch eqampe@fc.udg.es

Laboratori d'Enginyeria Química i Ambiental.
Facultat de Ciències
Universitat de Girona
Campus de Montilivi
17071 Girona, Catalonia, Spain

Abstract

The activated sludge process the main biological technology usually applied to wastewater treatment plants WWTP directly depends on live beings (microorganisms), and therefore, on unforeseen 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 to 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 some knowledge (suitable to be modelled by Knowledge-Based Systems). But one of the key problems in Knowledge-Based control systems design is the development of an architecture able to manage efficiently the different elements of the process (integrated architecture), to learn from previous cases (specific experimental knowledge) and to acquire the domain knowledge (general expert knowledge). These problems increase when the process belongs to an ill-structured domain and is composed by several complex operational units. Therefore, an integrated and distributed AI architecture seems to be a good choice. This paper, proposes an integrated and distributed supervisory multi-level architecture for the supervision of WWTP, that overcomes some of the main troubles of classical control techniques and those of Knowledge-Based Systems applied to real world systems.

Keywords: Integrated AI systems, Distributed AI systems, Knowledge-Based Systems, Real-Time Supervision and Control, Wastewater Treatment, Knowledge Engineering, Environmental Engineering.

Citation

M. Sànchez, U. Cortés, J. Lafuente, I. R.-Roda, and M. Poch, "DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision" . Artificial Intelligence in Engineering Vol. 10 (3) 1996. Pag. 275-285.

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