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dc.contributor.author | Adan, Antonio | es_ES |
dc.contributor.author | Pérez, Víctor | es_ES |
dc.contributor.author | Vivancos, José-Luis | es_ES |
dc.contributor.author | Aparicio Fernandez, Carolina Sabina | es_ES |
dc.contributor.author | Prieto, Samuel A. | es_ES |
dc.date.accessioned | 2022-01-20T19:30:37Z | |
dc.date.available | 2022-01-20T19:30:37Z | |
dc.date.issued | 2021-04 | es_ES |
dc.identifier.issn | 2072-4292 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/180037 | |
dc.description.abstract | [EN] The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In this paper, however, we present an alternative to the aforementioned technologies in the form of new sensors based on 3D computer vision that are able to record dense thermal information in a three-dimensional space. These thermal computer vision-based technologies (3D-TCV) entail a revision and updating of the current building energy monitoring methodologies. This paper provides a detailed definition of the most significant aspects of this new extended methodology and presents a case study showing the potential of 3D-TCV techniques and how they may complement current techniques. The results obtained lead us to believe that 3D computer vision can provide the field of building monitoring with a decisive boost, particularly in the case of heritage buildings | es_ES |
dc.description.sponsorship | This research was funded by the European Regional Development Fund (SBPLY/19/180501/000094 project) and the Ministry of Science and Innovation (PID2019-108271RB-C31 and PID2019108271RB-C33). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Remote Sensing | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Energy monitoring | es_ES |
dc.subject | Buildings | es_ES |
dc.subject | 3D computer vision | es_ES |
dc.subject | Thermography | es_ES |
dc.subject.classification | CONSTRUCCIONES ARQUITECTONICAS | es_ES |
dc.subject.classification | PROYECTOS DE INGENIERIA | es_ES |
dc.title | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/rs13081537 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108271RB-C31/ES/CREACION DE MODELOS 5D DE EDIFICIOS MULTI-PLANTA UTILIZANDO PLATAFORMAS MOVILES DE DIGITALIZACION TERMICA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/FEDER//SBPLY%2F19%2F180501%2F000094/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2019-108271RB-C33//NUEVAS METODOLOGIAS EN EL ANALISIS DEL CONFORT TERMICO Y LA EFICIENCIA ENERGETICA EN EDIFICIOS CON MODELOS 5D/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria | es_ES |
dc.description.bibliographicCitation | Adan, A.; Pérez, V.; Vivancos, J.; Aparicio Fernandez, CS.; Prieto, SA. (2021). Proposing 3D Thermal Technology for Heritage Building Energy Monitoring. Remote Sensing. 13(8):1-25. https://doi.org/10.3390/rs13081537 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/rs13081537 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 25 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 13 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.pasarela | S\438747 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |