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A statistical approach for a-posteriori deployment of microclimate sensors in museums: a case study

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A statistical approach for a-posteriori deployment of microclimate sensors in museums: a case study

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dc.contributor.author Frasca, Francesca es_ES
dc.contributor.author Verticchio, Elena es_ES
dc.contributor.author Merello, Paloma es_ES
dc.contributor.author Zarzo Castelló, Manuel es_ES
dc.contributor.author Grinde, Andreas es_ES
dc.contributor.author Fazio, Eugenio es_ES
dc.contributor.author García Diego, Fernando Juan es_ES
dc.contributor.author Siani, Anna Maria es_ES
dc.date.accessioned 2023-05-11T18:02:09Z
dc.date.available 2023-05-11T18:02:09Z
dc.date.issued 2022-06 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193279
dc.description.abstract [EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component analysis (PCA) and cluster analysis (CA) were used to identify microclimate patterns, i.e., similarities of indoor air conditions among rooms. Box-and-whisker plots allowed us to clearly identify one microclimate pattern in two adjoining rooms located in the basement. Multivariate methods (PCA and CA) enabled us to identify further microclimate patterns by grouping not only adjoining rooms but also rooms located on different floors. Based on these outcomes, new configurations about the deployment of sensors were proposed aimed at avoiding redundant sensors and collecting microclimate observations in other sensitive locations of this museum. es_ES
dc.description.sponsorship This research was funded by the CollectionCare project, which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 814624 (https://www.collectioncare.eu/(accessed on 1 April 2022)). No other external funding was received for this study. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Museum es_ES
dc.subject Microclimate es_ES
dc.subject Multivariate approach es_ES
dc.subject Principal component analysis es_ES
dc.subject Cluster analysis es_ES
dc.subject Sensors es_ES
dc.subject Deployment es_ES
dc.subject Temperature es_ES
dc.subject Relative humidity es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title A statistical approach for a-posteriori deployment of microclimate sensors in museums: a case study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s22124547 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/814624/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Frasca, F.; Verticchio, E.; Merello, P.; Zarzo Castelló, M.; Grinde, A.; Fazio, E.; García Diego, FJ.... (2022). A statistical approach for a-posteriori deployment of microclimate sensors in museums: a case study. Sensors. 22(12):1-16. https://doi.org/10.3390/s22124547 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s22124547 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 35746334 es_ES
dc.identifier.pmcid PMC9230798 es_ES
dc.relation.pasarela S\467296 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES


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