Cluster analysis of microclimate data to optimize the number of sensors for the assessment of indoor environment within museums
2018
For the first time, the
cluster analysis(k-means) has been applied on long time series of temperature and relative humidity measurements to identify the thermo-hygrometric features in a museum. Based on ASHRAE (2011) classification, 84% of time all rooms in the Napoleonic Museum in Rome (case study) were found in the class of control B. This result was obtained by analyzing all recorded data in 10 rooms of the museum as well as using the cluster aggregation. The use of objective-oriented methodology allows to achieve an acceptable knowledge of the
microclimatein case of multi-room buildings, reducing computations with large amounts of collected data and time-consuming in redundant elaborations. The
cluster analysisenables to reduce the number of the sensors in
microclimatemonitoring programs within museums, provided that the representativeness of the instrument location is known, and professional conservators have assessed that the artifacts are well preserved.
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