In this paper we present a low-cost distributed embedded system for Structural Health Monitoring (SHM) that uses very cost-effective MEMS accelerometers, instead of more expensive piezoelectric analog transducers. The proposed platform provides online filtering and fusion of the collected data directly on-board. Data are transmitted after processing using a WiFi transceiver. Low-cost and synchronized devices permit to have more fine-grained measurements and a comprehensive assessment of the whole building, by evaluating their response to vibrations. The challenge addressed in this paper is to execute a quite computationally-demanding digital filtering on a low-cost microcontroller STM32, and to reduce the signal-to-noise ratio typical of MEMS devices with a spatial redundancy of the sensors. Our work poses the basis for low-cost methods for elaborating complex modal analysis of buildings and structures.
Low-cost and distributed health monitoring system for critical buildings / Girolami, Alberto; Brunelli, Davide; Benini, Luca. - ELETTRONICO. - (2017), pp. 8052686.1-8052686.6. (Intervento presentato al convegno 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2017 tenutosi a Milano, Italy nel JUL 24-25, 2017) [10.1109/EESMS.2017.8052686].
Low-cost and distributed health monitoring system for critical buildings
Girolami, Alberto;Brunelli, Davide;Benini, Luca
2017
Abstract
In this paper we present a low-cost distributed embedded system for Structural Health Monitoring (SHM) that uses very cost-effective MEMS accelerometers, instead of more expensive piezoelectric analog transducers. The proposed platform provides online filtering and fusion of the collected data directly on-board. Data are transmitted after processing using a WiFi transceiver. Low-cost and synchronized devices permit to have more fine-grained measurements and a comprehensive assessment of the whole building, by evaluating their response to vibrations. The challenge addressed in this paper is to execute a quite computationally-demanding digital filtering on a low-cost microcontroller STM32, and to reduce the signal-to-noise ratio typical of MEMS devices with a spatial redundancy of the sensors. Our work poses the basis for low-cost methods for elaborating complex modal analysis of buildings and structures.File | Dimensione | Formato | |
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EESMS-SHM.submitted.pdf
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