Structural health monitoring (SHM) of civil infrastructure is among many areas with a need for low-cost autonomous wireless sensors capable of operating without maintenance for extended periods of time. This paper describes the 3AT-09 wireless sensing module developed by Green SHM Systems. The module incorporates a microcontroller, memory, digital accelerometer, tilt and temperature sensors, and a transceiver. It is powered by a combination of batteries and an energy harvesting device. The module can operate in two modes – active mode and sleep mode. Low power consumption in sleep mode, along with power management capabilities and the use of energy harvesting allows for a very long service life of the module. It is estimated that the module can be self-sufficient for at least 25 years when used as part of a typical SHM application with short active mode sessions. The autonomous wireless sensing module is designed as a platform for long- term monitoring applications. Different sensors and energy harvesting devices can be integrated with the module. Experimental results on the use of sensing modules for vibration monitoring of bridges and tall buildings are provided.
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wireless sensors, extended service life, vibration monitoring, maintenance-free sensors, smart sensors
(Fraiser, 2006) Fraiser M., Elgamal A. Video and motion structural monitoring framework, Proceedings of 4th China-Japan-US Symposium on Structural Control and Monitoring, Oct. 16-17, 2006.
(Kim, 2007) S. Kim, S. Pakzad, D. Culler, J. Demmel, G. Fenves, S. Glaser, M. Turon. Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks, in Proceedings of the 6th International Conference on Information Processing in Sensor Networks, Cambridge, MA, 2007
(NIST 2009) Civil infrastructure. Advanced sensing technologies and advanced repair materials for the infrastructure: water systems, dams, levees, bridges, roads and highways, white paper, NIST, March 2009.
(Turner-Fairbank 2001) Reliability of visual bridge inspection, Turner-Fairbank Highway Research Center, Federal Highway Administration, March 2001. http://www.tfhrc.gov/pubrds/marapr01/bridge. htm.
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