Mostrar el registro sencillo del ítem
dc.contributor.author | García Diego, Fernando Juan | es_ES |
dc.contributor.author | Verticchio, Elena | es_ES |
dc.contributor.author | Beltrán Medina, Pedro | es_ES |
dc.contributor.author | Siani, Anna Maria | es_ES |
dc.date.accessioned | 2017-01-04T08:40:56Z | |
dc.date.available | 2017-01-04T08:40:56Z | |
dc.date.issued | 2016-08 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10251/76310 | |
dc.description.abstract | Monitoring temperature and relative humidity of the environment to which artefacts are exposed is fundamental in preventive conservation studies. The common approach in setting measuring instruments is the choice of a high sampling rate to detect short fluctuations and increase the accuracy of statistical analysis. However, in recent cultural heritage standards the evaluation of variability is based on moving average and short fluctuations and therefore massive acquisition of data in slowly-changing indoor environments could end up being redundant. In this research, the sampling frequency to set a datalogger in a museum room and inside a microclimate frame is investigated by comparing the outcomes obtained from datasheets associated with different sampling conditions. Thermo-hygrometric data collected in the Sorolla room of the Pio V Museum of Valencia (Spain) were used and the widely consulted recommendations issued in UNI 10829:1999 and EN 15757:2010 standards and in the American Society of Heating, Air-Conditioning and Refrigerating Engineers (ASHRAE) guidelines were applied. Hourly sampling proved effective in obtaining highly reliable results. Furthermore, it was found that in some instances daily means of data sampled every hour can lead to the same conclusions as those of high frequency. This allows us to improve data logging design and manageability of the resulting datasheets. | es_ES |
dc.description.sponsorship | The authors would like to thank the staff of the IVCR, especially director May Perez Garcia, and the owners of the paintings. This work was partially supported by the projects HAR2013-47895-C2-1-P and HAR2013-47895-C2-2-P from MINECO. Elena Verticchio thanks Sapienza Universita di Roma for the internship mobility grant. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.ispartof | Sensors | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Temperature and relative humidity | es_ES |
dc.subject | Sampling rate | es_ES |
dc.subject | Museum measurements | es_ES |
dc.subject | Indoor microclimate | es_ES |
dc.subject | Sorolla paintings | es_ES |
dc.subject | Pio V Museum | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.title | Assessment of the Minimum Sampling Frequency to Avoid Measurement Redundancy in Microclimate Field Surveys in Museum Buildings | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/s16081291 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//HAR2013-47895-C2-2-P/ES/CONSERVACION PREVENTIVA DE LOS MOSAICOS ROMANOS DE LA VILLA ROMANA DE NOHEDA (CUENCA), DEL LUGAR ARQUELOGICO DE L¿ALMOINA (VALENCIA) Y OTROS./ / | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//HAR2013-47895-C2-1-P/ES/CONSERVACION PREVENTIVA DE LOS MOSAICOS ROMANOS DE LA VILLA ROMANA DE NOHEDA (CUENCA), DEL LUGAR ARQUELOGICO DE L¿ALMOINA (VALENCIA) Y OTROS./ | 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. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | García Diego, FJ.; Verticchio, E.; Beltrán Medina, P.; Siani, AM. (2016). Assessment of the Minimum Sampling Frequency to Avoid Measurement Redundancy in Microclimate Field Surveys in Museum Buildings. Sensors. 16(8):1291-1291. doi:10.3390/s16081291 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi. org/10.3390/s16081291 | es_ES |
dc.description.upvformatpinicio | 1291 | es_ES |
dc.description.upvformatpfin | 1291 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 16 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.senia | 318904 | es_ES |
dc.identifier.pmid | 27537886 | en_EN |
dc.identifier.pmcid | PMC5017456 | en_EN |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Sapienza Università di Roma | es_ES |