Monitoring heritage buildings with wireless sensor networks The Torre Aquila deployment

Wireless sensor networks are untethered infrastructures that are easy to deploy and have limited visual impact—a key asset in monitoring heritage buildings of artistic interest. This paper describes one such system deployed in Torre Aquila, a medieval tower in Trento (Italy). Our contributions range...

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Vydané v:2009 International Conference on Information Processing in Sensor Networks s. 277 - 288
Hlavní autori: Ceriotti, Matteo, Mottola, Luca, Picco, Gian Pietro, Murphy, Amy L., Guna, Stefan, Corra, Michele, Pozzi, Matteo, Zonta, Daniele, Zanon, Paolo
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 13.04.2009
IEEE
Edícia:ACM Conferences
Predmet:
Computer systems organization > Embedded and cyber-physical systems
Computer systems organization > Real-time systems
General and reference > Cross-computing tools and techniques > Design
Hardware
Hardware > Communication hardware, interfaces and storage
Heritage buildings
Life estimation
Lifetime estimation
Middleware
Monitoring
Networks
Networks > Network services > Network monitoring
Networks > Network types > Mobile networks
Networks > Network types > Wireless access networks
Operating systems
Poles and towers
Software systems
Stability
Wireless sensor networks
ISBN:1424451086, 9781424451081
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Shrnutí:Wireless sensor networks are untethered infrastructures that are easy to deploy and have limited visual impact—a key asset in monitoring heritage buildings of artistic interest. This paper describes one such system deployed in Torre Aquila, a medieval tower in Trento (Italy). Our contributions range from the hardware to the graphical front-end. Customized hardware deals efficiently with high-volume vibration data, and specially-designed sensors acquire the building's deformation. Dedicated software services provide: i) data collection, to efficiently reconcile the diverse data rates and reliability needs of heterogeneous sensors; ii) data dissemination, to spread configuration changes and enable remote tasking; iii) time synchronization, with low memory demands. Unlike most deployments, built directly on the operating system, our entire software layer sits atop our TeenyLIME middleware. Based on 4 months of operation, we show that our system is an effective tool for assessing the tower's stability, as it delivers data reliably (with loss ratios ≪0.01%) and has an estimated lifetime beyond one year.
ISBN:1424451086
9781424451081
DOI:10.5555/1602165.1602191