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dc.creatorRanjbar, Rozaes
dc.creatorDuviella, Érices
dc.creatorEtienne, Lucienes
dc.creatorMaestre Torreblanca, José Maríaes
dc.date.accessioned2021-02-16T10:29:51Z
dc.date.available2021-02-16T10:29:51Z
dc.date.issued2020
dc.identifier.citationRanjbar, R., Duviella, É., Etienne, L. y Maestre Torreblanca, J.M. (2020). Framework for a digital twin of the Canal of Calais. En 9th International Young Scientists Conference in Computational Science (YSC 2020), Procedia Computer Science (27-37), Virtual, online: Elsevier.
dc.identifier.issn1877-0509es
dc.identifier.urihttps://hdl.handle.net/11441/105022
dc.descriptionProcedia Computer Science Volume 178es
dc.description.abstractThe management of hydrographical systems is still mainly based on the expertise of the managers. Although this expertise enables the efficient management of these networks under normal conditions, modifications due to human activities or climate change could lead them to manage situations that were not known until now. In addition, advances in Automation, Computing Science and Artificial Intelligence provide tools and methods to assist the managers. In particular, the use of tele-remote systems, as SCADA, allows the collection of data and the control of hydraulic devices. Today, by benefiting from the power of computers and servers, the digital twins of hydrographical networks can be designed. A digital twin aims to faithfully reproduce the dynamics of a canal. It is used to play-back past scenarios allowing feedback of applied management strategies and fast simulations with predictive and adaptive management strategies to determine their performances and giving decision aid criteria for the managers. The objective of the presented paper is to define the framework for a digital twin of the Canal of Calais.es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartof9th International Young Scientists Conference in Computational Science (YSC 2020), Procedia Computer Science (2020), pp. 27-37.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIrrigation Canalses
dc.subjectSaint-Venant Equationses
dc.subjectInland Navigationes
dc.titleFramework for a digital twin of the Canal of Calaises
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Sistemas y Automáticaes
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050920323772es
dc.identifier.doi10.1016/j.procs.2020.11.004es
dc.contributor.groupUniversidad de Sevilla. TEP -116 Automática y Robótica Industriales
dc.publication.initialPage27es
dc.publication.endPage37es
dc.eventtitle9th International Young Scientists Conference in Computational Science (YSC 2020)es
dc.eventinstitutionVirtual, onlinees

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