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Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring

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In this paper, we propose a wireless sensor network for pavement health monitoring exploiting the Zigbee technology. Accelerometers are adopted to measure local accelerations linked to pavement vibrations, which are then converted into displacements by a signal processing algorithm. Each device consists of an on-board unit buried in the roadway and a roadside unit. The on-board unit comprises a microcontroller, an accelerometer and a Zigbee module that transfers acceleration data wirelessly to the roadside unit. The roadside unit consists of a Raspberry Pi, a Zigbee module and a USB Zigbee adapter. Laboratory tests were conducted using a vibration table and with three different accelerometers, to assess the system capability. A typical displacement signal from a five-axle truck was applied to the vibration table with two different displacement peaks, allowing for two different vehicle speeds. The prototyped system was then encapsulated in PVC packaging, deployed and tested in a real-life road situation with a fatigue carousel featuring rotating truck axles. The laboratory and on-road measurements show that displacements can be estimated with an accuracy equivalent to that of a reference sensor.
Title: Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring
Description:
In this paper, we propose a wireless sensor network for pavement health monitoring exploiting the Zigbee technology.
Accelerometers are adopted to measure local accelerations linked to pavement vibrations, which are then converted into displacements by a signal processing algorithm.
Each device consists of an on-board unit buried in the roadway and a roadside unit.
The on-board unit comprises a microcontroller, an accelerometer and a Zigbee module that transfers acceleration data wirelessly to the roadside unit.
The roadside unit consists of a Raspberry Pi, a Zigbee module and a USB Zigbee adapter.
Laboratory tests were conducted using a vibration table and with three different accelerometers, to assess the system capability.
A typical displacement signal from a five-axle truck was applied to the vibration table with two different displacement peaks, allowing for two different vehicle speeds.
The prototyped system was then encapsulated in PVC packaging, deployed and tested in a real-life road situation with a fatigue carousel featuring rotating truck axles.
The laboratory and on-road measurements show that displacements can be estimated with an accuracy equivalent to that of a reference sensor.

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