dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
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Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.contributor.author
Pascual Pañach, Josep
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Cugueró Escofet, Miquel Àngel
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Sànchez-Marrè, Miquel
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Pascual, J.; Cugueró, M.A.; Sànchez-Marrè, M. Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems. "Environmental modelling & software", Juny 2021, vol. 140, article 105021, p. 1-16.
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https://hdl.handle.net/2117/347174
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10.1016/j.envsoft.2021.105021
dc.description.abstract
This paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, supervision and decision support on environmental systems. Design stage of control and decision support tools for environmental systems tend to be somehow ad-hoc regarding to the nature of the processes involved. Hence, an automated approach is proposed for the sake of scalability to different types and configurations of environmental systems. The proposed hybrid scheme provides complementarity in the set-point generation for the process controllers, increasing the reliability of the Intelligent Process Control System (IPCS), which is the core component of the IDS methodology. Furthermore, the IDS methodology is flexible and dynamic enough to be able to cope with the dynamic evolution of environmental systems, learning from its relevant experienced situations. The approach presented has been implemented in a real facility.
dc.description.abstract
The 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.description.abstract
Peer Reviewed
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Postprint (author's final draft)
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application/pdf
dc.relation
https://www.sciencedirect.com/science/article/pii/S1364815221000645
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info:eu-repo/grantAgreement/AGAUR/V PRI/2017 DI 006
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info:eu-repo/grantAgreement/AGAUR/RIS3CAT/2017 SGR 574
dc.rights
© 2021 Elsevier
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https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
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Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
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Decision support systems
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Case-based reasoning
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Rule-based reasoning
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Intelligent environmental decision support system
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Intelligent process control
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Wastewater treatment plant
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Sistemes d'ajuda a la decisió
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Aigües residuals
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Raonament basat en casos
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Mineria de dades
dc.title
Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems
