This work presents the design of a complete open source - low cost wireless sensor network (WSN) that is specifically intended for SHM applications where sensing low frequency low amplitude accelerations with high resolution is essential, as well having a flexible system, free of cables that complicate its installation in the case of short-term measurement campaigns. The platform consists of a Low Noise, Low Drift, Low Power 3-Axis Accelerometer used to collect the data from the structure, a mid-range inertial measurement unit (IMU) used to calibrate the sensor, an ultra-low power Microcontroller used for in loco sampling, transmitting and saving raw data into a microSD card, an RF module for wireless connectivity and a GPS for synchronization through different sensors and track the position of each sensor. Further, TDMA (Time Division Multiple Access) method is used to reduce collisions and improve energy efficiency; data compression algorithm to reduce the bandwidth required for transmission and storage and try to reduce as much as possible data switching activity; error detection bits are also inserted to detect and correct any corrupted data. Recover of the corrupted transmission data that are not resolvable by recover bit is possible in 1-view-mode (real time visualization of only one sensor) or in offline-data-collection mode. The implemented system is evaluated through a testbed application. Sensor data are compared to the one collected through a high-speed camera and analyzed by video recognition technique.

Open source - low cost wireless sensor network for SHM applications / Apostoliti, C.; Cimellaro, G. P.; Domaneschi, M.. - ELETTRONICO. - (2019), pp. 1-10. (Intervento presentato al convegno SHMII-9, 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure tenutosi a St Louis USA nel August 4-7, 2020).

Open source - low cost wireless sensor network for SHM applications

C. Apostoliti;G. P. Cimellaro;M. Domaneschi
2019

Abstract

This work presents the design of a complete open source - low cost wireless sensor network (WSN) that is specifically intended for SHM applications where sensing low frequency low amplitude accelerations with high resolution is essential, as well having a flexible system, free of cables that complicate its installation in the case of short-term measurement campaigns. The platform consists of a Low Noise, Low Drift, Low Power 3-Axis Accelerometer used to collect the data from the structure, a mid-range inertial measurement unit (IMU) used to calibrate the sensor, an ultra-low power Microcontroller used for in loco sampling, transmitting and saving raw data into a microSD card, an RF module for wireless connectivity and a GPS for synchronization through different sensors and track the position of each sensor. Further, TDMA (Time Division Multiple Access) method is used to reduce collisions and improve energy efficiency; data compression algorithm to reduce the bandwidth required for transmission and storage and try to reduce as much as possible data switching activity; error detection bits are also inserted to detect and correct any corrupted data. Recover of the corrupted transmission data that are not resolvable by recover bit is possible in 1-view-mode (real time visualization of only one sensor) or in offline-data-collection mode. The implemented system is evaluated through a testbed application. Sensor data are compared to the one collected through a high-speed camera and analyzed by video recognition technique.
File in questo prodotto:
File Dimensione Formato  
190107_SHMII8_Full-paper_final.pdf

non disponibili

Descrizione: Accepted manuscript
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 718.89 kB
Formato Adobe PDF
718.89 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2818616