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

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dc.contributor.author Sànchez i Marrè, Miquel
dc.contributor.author Cortés, Ulises
dc.contributor.author Lafuente Sancho, Francisco Javier
dc.contributor.author Rodríguez-Roda Layret, Ignasi
dc.contributor.author Poch, Manuel
dc.date.issued 1996
dc.identifier.issn 0954-1810
dc.identifier.uri http://hdl.handle.net/10256/2882
dc.description.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 produced 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 in the system and can take the necessary actions to restore the system’s performance. These decisions are often based both on physical, chemical, microbiological principles (suitable to be modelled by conventional control algorithms) and on 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 (spec@c 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 of 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
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.isformatof Reproducció digital del document publicat a: http://dx.doi.org/10.1016/0954-1810(96)00004-0
dc.relation.ispartof © Artificial Intelligence in Engineering, vol. 10, núm. 3, p. 275-285
dc.relation.ispartofseries Articles publicats (D-EQATA)
dc.rights Tots els drets reservats
dc.subject Aigües residuals -- Depuració
dc.subject Aigües residuals -- Plantes de tractament
dc.subject Sewage disposal plants
dc.subject Sewage -- Purification
dc.title DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision
dc.type info:eu-repo/semantics/article
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi http://dx.doi.org/10.1016/0954-1810(96)00004-0


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