Volume XL-5/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W7, 439-442, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W7-439-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W7, 439-442, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W7-439-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Aug 2015

13 Aug 2015

Everything is Data – Overview of Modular System of Sensors for Museum Environment

J. Valach1, K. Juliš1, P. Štefcová2, M. Pech2, B. Wolf1, M. Kotyk2, and J. Frankl1 J. Valach et al.
  • 1Institute of Theoretical and Applied Mechanics of Academy of Science of CR, v.v.i., Prosecká 76, 190 00 Prague 9, Czech Republic
  • 2National Museum, Václavské náměstí 68, 115 79 Prague 1, Czech Republic

Keywords: Museum, indoor environment, sensors, integrated pest management, monitoring, semantic data

Abstract. The main aim of project nearing completion was to develop a modular and scalable system of sensors for monitoring of internal environment of museum exhibitions and depositories. The sensors vary according to parameters being monitored and at the same time also according to required energy autonomy, processing capability and bandwidth requirements. Sensors developed can be divided into three groups: environmental sensors, biosensors and sensors of vibrations. Data acquired by the sensors are archived and stored in open format. Metadata stored alongside true numerical data from measurement, represent assurance of future computer readability in data mining application. Long continuous series of data can provide sufficient data for acquisition of dose-response function.