In this paper we propose a new Internet of Things architecture for health and environmental monitoring of cultural heritage sites. The proposed architecture supports a broad range of sensor nodes and wireless technologies and thus can be profitably used in several application scenarios related to the management of cultural heritage sites, from microclimate and structural monitoring to security and surveillance applications and even for multimedia content distribution. In particular, the architecture supports the LoRa protocol so that it can be used even in outdoor scenarios such as historical buildings and archaeological sites. Finally, the software used to implement the architecture is open source and readily available so that the architecture can be easily replicated and extended.

IoT-MHECHA: A new IoT architecture for Monitoring Health and Environmental parameters in Cultural Heritage and Archaeological sites

G. Campobello
Primo
Membro del Collaboration Group
;
A. Altadonna
Secondo
Membro del Collaboration Group
;
F. Todesco
Penultimo
Membro del Collaboration Group
;
N. Donato
Ultimo
Membro del Collaboration Group
2020-01-01

Abstract

In this paper we propose a new Internet of Things architecture for health and environmental monitoring of cultural heritage sites. The proposed architecture supports a broad range of sensor nodes and wireless technologies and thus can be profitably used in several application scenarios related to the management of cultural heritage sites, from microclimate and structural monitoring to security and surveillance applications and even for multimedia content distribution. In particular, the architecture supports the LoRa protocol so that it can be used even in outdoor scenarios such as historical buildings and archaeological sites. Finally, the software used to implement the architecture is open source and readily available so that the architecture can be easily replicated and extended.
2020
978-92-990084-5-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3185388
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