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dc.contributor.authorTejedor Herrán, Blanca
dc.contributor.authorBarreira, Eva
dc.contributor.authorAlmeida, Ricardo M. S. F.
dc.contributor.authorCasals Casanova, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.date.accessioned2020-12-10T09:36:31Z
dc.date.issued2021-02
dc.identifier.citationTejedor, B. [et al.]. Automated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography. "Automation in construction", Febrer 2021, vol. 122, p. 103478/1-103478/14.
dc.identifier.issn0926-5805
dc.identifier.urihttp://hdl.handle.net/2117/334178
dc.description.abstractComputing a 2D colour map of average U-values pixel-by-pixel could become a challenging task in terms of complexity and time, especially for entire façades under the influence of anomalies. In a quantitative IRT test, a thermal image with a resolution of 320 × 240 pixels involves 76,800 elements with different TWALL for each instant “t”. This research aims to create a thermographic 2D U-value map for the characterization of heavy walls in a stationary regime. The method was divided into three steps: (i) metrology; (ii) assessment of how mesh discretization affects the image quality by MATLAB; (iii) development of a 2D map by SURFER. The results demonstrated that all 2D maps were a great reproduction of the original image, considering as optimum a TWALL mesh comprised of 1600 elements of 8 × 6 pixels. The automated data-processing method only took 20 min and image quality losses were estimated at 6.65%
dc.description.sponsorshipThis work was financially supported by: UID/ECI/04708/2019 - CONSTRUCT - Instituto de I&D em Estruturas e Construç ̃oes funded by national funds through the FCT/MCTES (PIDDAC).
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Edificació
dc.subject.lcshFacades
dc.subject.lcshHeat -- Transmission
dc.subject.lcshThermography
dc.subject.lcshBuildings -- Energy conservation
dc.subject.otherQuantitative infrared thermography
dc.subject.otherAutomated data-processing technique
dc.subject.otherMeasured U-value
dc.subject.otherProcessed image
dc.subject.other2D map
dc.subject.other2D correlation coefficient
dc.subject.otherQuality image
dc.subject.otherMATLAB
dc.subject.otherSURFER
dc.titleAutomated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography
dc.typeArticle
dc.subject.lemacFaçanes
dc.subject.lemacCalor -- Transmissió
dc.subject.lemacTermografia
dc.subject.lemacEdificis -- Estalvi d'energia
dc.contributor.groupUniversitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.identifier.doi10.1016/j.autcon.2020.103478
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S092658052031058X
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac29918700
dc.description.versionPostprint (author's final draft)
dc.date.lift2022-12-01
local.citation.authorTejedor, B.; Barreira, E.; Almeida, R.; Casals, M.
local.citation.publicationNameAutomation in construction
local.citation.volume122
local.citation.startingPage103478/1
local.citation.endingPage103478/14


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