Abstract
Structural health monitoring (SHM) is playing an increasingly important role in ensuring the safety of structures. A shift of SHM research away from traditional wired methods toward the use of wireless smart sensors (WSS) has been motivated by the attractive features of wireless smart sensor networks (WSSN). The progress achieved in Micro Electro-Mechanical System (MEMS) technologies and wireless data transmission, has extended the effectiveness and range of applicability of WSSNs. One of the most common sensors employed in SHM strategies is the accelerometer; however, most accelerometers in WSS nodes have inadequate resolution for measurement of the typical accelerations found in many SHM applications. In this study, a high-resolution and low-noise tri-axial digital MEMS accelerometer is incorporated in a next-generation WSS platform, the Xnode. In addition to meeting the acceleration sensing demands of large-scale civil infrastructure applications, this new WSS node provides powerful hardware and a robust software framework to enable edge computing that can deliver actionable information. Hardware and software integration challenges are presented, and the associate resolutions are discussed. The performance of the wireless accelerometer is demonstrated experimentally through comparison with high-sensitivity wired accelerometers. This new high-sensitivity wireless accelerometer will extend the use of WSSN to a broader class of SHM applications.
Highlights
Structural health monitoring, combining various sensing technologies with data acquisition and processing capability, plays a significant role in assessing the condition of structures
The shift of Structural health monitoring (SHM) research away from traditional wired methods toward the use of wireless smart sensor networks has been motivated by the many attractive features of wireless smart sensors
This paper presents the development of aa powerful next-generation node for framework, to enable both campaign-style and long-term SHM
Summary
Structural health monitoring, combining various sensing technologies with data acquisition and processing capability, plays a significant role in assessing the condition of structures. Validation of the developed a wireless node that employs a SiFlex 1600 single axis accelerometer, which is designed performance of these wireless accelerometers nodes in the low-frequency, ultra-low amplitude range for micro-vibrations This node uses Voltage to Frequency Conversion (V/F) instead of the Analog to has not been reported. To ±15V is required, whichvalidation is difficultof tothe performance of these wireless accelerometers nodes in the low-frequency, ultra-low amplitude range provide with standard DC power sources (i.e., batteries); (ii) the power draw is relatively high; and has not(iii) been. The M-A351 requires a unipolar 3.3 V power supply, which is ideal for use in battery-powered wireless sensor applications Issues with both software and hardware implementation are discussed.
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