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DESIGN AND DEVELOPMENT OF POWER-EFFICIENT WIRELESS SENSING UNITS FOR STRUCTURAL HEALTH MONITORING APPLICATIONS
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@MISC{Lynch_designand,
author = {J. P. Lynch and Y. Wang and A. Sundararajan and K. H. Law and A. S. Kiremidjian},
title = {DESIGN AND DEVELOPMENT OF POWER-EFFICIENT WIRELESS SENSING UNITS FOR STRUCTURAL HEALTH MONITORING APPLICATIONS},
year = {}
}
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Abstract
Structural health monitoring is a broad field that encompasses a number of synergetic technologies brought together to provide a system that can potentially identify and characterize the performance and/or possible damage in a structural system. Such a system would include a data acquisition subsystem capable of recording a structure’s response to ambient and external loads and computational hardware embedded with numerical procedures to rapidly process the recorded response data to predict possible damage. This paper describes the design of a low-cost wireless sensing unit for installation in structural monitoring systems. The prototype wireless sensing unit is intended to 1) collect measurement data from the sensors installed on a structure, 2) store, manage and locally process the measurement data collected, and 3) communicate the data and results to a wireless sensing network comprised of other wireless sensing/actuation agents upon demand. The wireless sensing unit is designed not only for reliable communication of response measurements but also for power efficiency. The performance of the sensing unit is validated in the field using the Alamosa Canyon Bridge in southern New Mexico. With wireless radios consuming large amounts of power, energy preservation can be achieved by limiting the use of the wireless channel. This study explores two approaches to reduce the power demands of the wireless sensing unit. First, embedded engineering analyses are embedded and carried out by the sensing unit’s computational core to avoid transmission of long time-history records. Second, lossless data compression is employed to reduce the size of data packets wirelessly transmitted.
Keyphrases
possible damage measurement data power demand wireless radio power efficiency alamosa canyon bridge external load structural monitoring system recorded response data southern new mexico lossless data compression energy preservation reliable communication data packet structural system computational hardware unit computational core data acquisition subsystem large amount wireless channel numerical procedure actuation agent structure response engineering analysis low-cost wireless broad field wireless sensing unit structural health monitoring prototype wireless long time-history record synergetic technology response measurement
