Dynamic ventilation certificate for smart universities using artificial intelligence techniques

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/133998
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Title: Dynamic ventilation certificate for smart universities using artificial intelligence techniques
Authors: Maciá Pérez, Francisco | Lorenzo Fonseca, Iren | Berna-Martinez, Jose Vicente
Research Group/s: GrupoM. Redes y Middleware
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Certificate management | Ventilation | Occupancy | Smart university | Artificial intelligence | Artificial neural network
Issue Date: 26-Apr-2023
Publisher: Elsevier
Citation: Computer Methods and Programs in Biomedicine. 2023, 236: 107572. https://doi.org/10.1016/j.cmpb.2023.107572
Abstract: The issue of room ventilation has recently gained momentum due to the COVID-19 pandemic. Ventilation is in fact of particular relevance in educational environments. Smart University platforms, today widespread, are a good starting point to offer control services of different relevant indicators in universities. This study advances a Ventilation Quality Certificate (VQC) for Smart Universities. The certificate informs the university community of the ventilation status of its buildings and premises. It also supports senior management's decision-making, because it allows assessing preventive measures and actions taken. The VQC algorithm models the adequacy of classroom ventilation according to the number of persons present. The input used is the organisation's existing data relating to CO2 concentration and number of room occupants. AI techniques, specifically Artificial Neural Networks (ANN), were employed to determine the relationship between the different data sources included. A prototype of value-added services was developed for the Smart University platform of the University of Alicante, which allowed to implement the resulting models, together with the VQC. The prototype is currently being replicated in other universities. The case study allowed us to validate the VQC, demonstrating both its usefulness and the advantage of using pre-existing university services and resources.
URI: http://hdl.handle.net/10045/133998
ISSN: 0169-2607 (Print) | 1872-7565 (Online)
DOI: 10.1016/j.cmpb.2023.107572
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Peer Review: si
Publisher version: https://doi.org/10.1016/j.cmpb.2023.107572
Appears in Collections:INV - GrupoM - Artículos de Revistas

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