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dc.contributor.authorPascual Pañach, Josep
dc.contributor.authorCugueró Escofet, Miquel Àngel
dc.contributor.authorAguiló Martos, Pere
dc.contributor.authorSànchez-Marrè, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.identifier.citationPascual, J. [et al.]. An interoperable workflow-based framework for the automation of building intelligent process control systems. A: International Congress on Environmental Modelling and Software. "9th International Congress on Environmental Modelling and Software: Ft. Collins, Colorado, USA, June 2018". International Environmental Modelling and Software Society (iEMSs), 2018, p. 1-8.
dc.description.abstractOne of the major problems to design and implement a control/supervision system for a process lies in the need to establish an ad-hoc system for each process installation. On the other side, an open challenge related to the deployment of Intelligent Decision Support Systems (IDSSs) is the interoperability of the different methods used, in order to allow interaction and reuse of different data mining methods and the use of methods based on a model or an expert. Thus, this paper proposes the use of visual workflows, to enable the automation of the design task and the implementation of Intelligent Process Control Systems (IPCSs). The framework will allow the user to specify the design and control of a concrete process as well as the required data-driven and expert models using a graphical workflow environment. The framework is based on a three-layer architecture: first, a comprehensive data science flow description layer (dataflow layer) to produce/discover data-driven models from process data; second, a flowchart of the different components of the process (process-design flow layer) to obtain a simulation model from the design. Finally, the on-line IPCS (process control workflow layer), where the different data-driven models, expert-based models and intelligent reasoning methods interoperate to control and supervise the process. Thus, the resulting system can automatically generate both simulation models of the process and programming code to control and supervise the process, using workflows designed for each particular installation. The case study is focused on the supervision of a Wastewater Treatment Plant (WWTP) located in the Barcelona region.
dc.description.sponsorshipThe authors acknowledge the partial support of this work by the Industrial Doctorate Programme (2017-DI-006) and the Research Consolidated Groups/Centres Grant (2017 SGR 574) from the Catalan Agency of University and Research Grants Management (AGAUR), from Catalan Government.
dc.format.extent8 p.
dc.publisherInternational Environmental Modelling and Software Society (iEMSs)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament de l'aigua
dc.subject.lcshSewage disposal plants
dc.subject.lcshProcess control
dc.subject.lcshData mining
dc.subject.otherIntelligent process control system
dc.subject.otherWastewater treatment plant
dc.subject.otherVisual workflow
dc.subject.otherEnergy sustainability
dc.titleAn interoperable workflow-based framework for the automation of building intelligent process control systems
dc.typeConference lecture
dc.subject.lemacAigües residuals -- Depuració
dc.subject.lemacControl de processos
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/V PRI/2017 DI 006
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/RIS3CAT/2017 SGR 574
local.citation.authorPascual, J.; Cugueró, M.A.; Aguiló, P.; Sànchez-Marrè, M.
local.citation.contributorInternational Congress on Environmental Modelling and Software
local.citation.publicationName9th International Congress on Environmental Modelling and Software: Ft. Collins, Colorado, USA, June 2018

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