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Design and performance validation of a wireless sensing unit for structural monitoring applications
Lynch, Jerome Peter,Law, Kincho H.,Kiremidjian, Anne S.,Carryer, Ed,Farrar, Charles R.,Sohn, Hoon,Allen, David W.,Nadler, Brett,Wait, Jeannette R. Techno-Press 2004 Structural Engineering and Mechanics, An Int'l Jou Vol.17 No.3
There exists a clear need to monitor the performance of civil structures over their operational lives. Current commercial monitoring systems suffer from various technological and economic limitations that prevent their widespread adoption. The wires used to route measurements from system sensors to the centralized data server represent one of the greatest limitations since they are physically vulnerable and expensive from an installation and maintenance standpoint. In lieu of cables, the introduction of low-cost wireless communications is proposed. The result is the design of a prototype wireless sensing unit that can serve as the fundamental building block of wireless modular monitoring systems (WiMMS). An additional feature of the wireless sensing unit is the incorporation of computational power in the form of state-of-art microcontrollers. The prototype unit is validated with a series of laboratory and field tests. The Alamosa Canyon Bridge is employed to serve as a full-scale benchmark structure to validate the performance of the wireless sensing unit in the field. A traditional cable-based monitoring system is installed in parallel with the wireless sensing units for performance comparison.
Embedment of structural monitoring algorithms in a wireless sensing unit
Lynch, Jerome Peter,Sundararajan, Arvind,Law, Kincho H.,Kiremidjian, Anne S.,Kenny, Thomas,Carryer, Ed Techno-Press 2003 Structural Engineering and Mechanics, An Int'l Jou Vol.15 No.3
Complementing recent advances made in the field of structural health monitoring and damage detection, the concept of a wireless sensing network with distributed computational power is proposed. The fundamental building block of the proposed sensing network is a wireless sensing unit capable of acquiring measurement data, interrogating the data and transmitting the data in real time. The computational core of a prototype wireless sensing unit can potentially be utilized for execution of embedded engineering analyses such as damage detection and system identification. To illustrate the computational capabilities of the proposed wireless sensing unit, the fast Fourier transform and auto-regressive time-series modeling are locally executed by the unit. Fast Fourier transforms and auto-regressive models are two important techniques that have been previously used for the identification of damage in structural systems. Their embedment illustrates the computational capabilities of the prototype wireless sensing unit and suggests strong potential for unit installation in automated structural health monitoring systems.