TY - GEN
T1 - Autonomous structural health monitoring using wireless smart sensors on a cable-stayed bridge
AU - Jang, S.
AU - Jo, H.
AU - Mechitov, K.
AU - Sim, S. H.
AU - Spencer, B. F.
AU - Agha, G.
AU - Cho, S.
AU - Jung, H. J.
AU - Yun, C. B.
AU - Rice, J. A.
PY - 2010
Y1 - 2010
N2 - Structural health monitoring for long-span bridges using wireless smart sensor network (WSSN) has drawn significant attention. The benefits of the WSSN are low-cost, time efficiency, and postprocessing- free operation. However, some drawbacks have remained with respect to implementation of WSSNs on long-span bridges, including power consumption, manual communication with the sensor network, and limitations on the hardware. In this paper, the solutions for these drawbacks are provided by an energy efficient autonomous monitoring strategy, combined with newly developed sensor boards. The elements of the autonomous monitoring strategy consist of energy efficient sleeping mode and automatic thresholdbased sensing. A tri-axial acceleration board with temperature and humidity measurements and a wind speed sensor board are utilized. To demonstrate the efficacy of this hardware/software solution, 70 Imote2s loaded with the developed software package have been deployed on the Jindo Bridge in South Korea. For further energy efficiency, several of these nodes are solar powered.
AB - Structural health monitoring for long-span bridges using wireless smart sensor network (WSSN) has drawn significant attention. The benefits of the WSSN are low-cost, time efficiency, and postprocessing- free operation. However, some drawbacks have remained with respect to implementation of WSSNs on long-span bridges, including power consumption, manual communication with the sensor network, and limitations on the hardware. In this paper, the solutions for these drawbacks are provided by an energy efficient autonomous monitoring strategy, combined with newly developed sensor boards. The elements of the autonomous monitoring strategy consist of energy efficient sleeping mode and automatic thresholdbased sensing. A tri-axial acceleration board with temperature and humidity measurements and a wind speed sensor board are utilized. To demonstrate the efficacy of this hardware/software solution, 70 Imote2s loaded with the developed software package have been deployed on the Jindo Bridge in South Korea. For further energy efficiency, several of these nodes are solar powered.
UR - http://www.scopus.com/inward/record.url?scp=84856707480&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84856707480
SN - 9780415877862
T3 - Bridge Maintenance, Safety, Management and Life-Cycle Optimization - Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management
SP - 185
EP - 192
BT - Bridge Maintenance, Safety, Management and Life-Cycle Optimization - Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management
T2 - 5th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2010
Y2 - 11 July 2010 through 15 July 2010
ER -
