2009 · 302 citations · 16 references
EngineeringComputer SystemsHeritage ConservationBuilding DiagnosticsBuilding PhysicsInternet Of ThingsSensor IntegrationSensor NetworksSmart Building TechnologiesVibration MeasurementVibration MonitoringWireless Sensor NetworksData DisseminationDeformation Monitoring NetworksHeterogeneous Wireless Sensor NetworksMiddlewareNetwork Time SynchronizationSynchronization In Wireless Sensor NetworksVibration Data AnalysisVibration-based Monitoring
Wireless sensor networks are untethered, easy to deploy, and have minimal visual impact, making them ideal for monitoring heritage buildings of artistic interest. This paper presents a wireless sensor network system deployed in Torre Aquila, a medieval tower in Trento, Italy. The system integrates custom vibration‑handling hardware, deformation sensors, and a TeenyLIME‑based software stack that collects, disseminates, and synchronizes data across heterogeneous sensors. After four months of operation, the system delivered data with loss ratios below 0.01% and is projected to last beyond one year, demonstrating its effectiveness for assessing the tower’s stability.
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.
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