- freely available
Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage
AbstractCultural Heritage preventive conservation requires the monitoring of the parameters involved in the process of deterioration of artworks. Thus, both long-term monitoring of the environmental parameters as well as further analysis of the recorded data are necessary. The long-term monitoring at frequencies higher than 1 data point/day generates large volumes of data that are difficult to store, manage and analyze. This paper presents software which uses a free open source database engine that allows managing and interacting with huge amounts of data from environmental monitoring of cultural heritage sites. It is of simple operation and offers multiple capabilities, such as detection of anomalous data, inquiries, graph plotting and mean trajectories. It is also possible to export the data to a spreadsheet for analyses with more advanced statistical methods (principal component analysis, ANOVA, linear regression, etc.). This paper also deals with a practical application developed for the Renaissance frescoes of the Cathedral of Valencia. The results suggest infiltration of rainwater in the vault and weekly relative humidity changes related with the religious service schedules.
Share & Cite This Article
Fernández-Navajas, Á.; Merello, P.; Beltrán, P.; García-Diego, F.-J. Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage. Sensors 2013, 13, 2700-2718.View more citation formats
Fernández-Navajas Á, Merello P, Beltrán P, García-Diego F-J. Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage. Sensors. 2013; 13(3):2700-2718.Chicago/Turabian Style
Fernández-Navajas, Ángel; Merello, Paloma; Beltrán, Pedro; García-Diego, Fernando-Juan. 2013. "Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage." Sensors 13, no. 3: 2700-2718.
Notes: Multiple requests from the same IP address are counted as one view.