Demonstration of UAV deployment and control of mobile wireless sensing networks for modal analysis of structures

Zhou, Hao; Hirose, Mitsuhito; Greenwood, William; Xiao, Yong; Lynch, Jerome P.; Zekkos, Dimitrios; Kamat, Vineet R.

doi:10.1117/12.2223441

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Multiple devices can be connected to the on-board ODROID-U3+ computer to expand the functionality of the UAV. Also, with a wireless sensor transceiver attached to the USB-port of the ODROID-U3+, the UAV can been used to connect, store and process data from wireless sensor networks [17]. This UAV has been used to perform aerial LiDAR surveys in a GPS-denied environment [3].…”

Section: Methodsmentioning

confidence: 99%

“…This UAV has been used to perform aerial LiDAR surveys in a GPS-denied environment [3]. It has also been used to distribute wireless sensor nodes and introduce impulse sources for modal analyses of simple structures [17].…”

Section: Methodsmentioning

confidence: 99%

“…In doing so, UAVs may play a vital role in rapid deployment of these effective methods while allowing for new deployment approaches (e.g., automated array reconfiguration) that lead to more accurate site characterizations. Previous studies have established the ability for UAVs to deploy and collect data from wireless sensor networks that measure ground vibrations [17]. This study expands on this prior work by utilizing a UAV to drop an impulsive source; a two-dimensional array of geophones is used to estimate the input location of a UAV-dropped impulsive source.…”

Section: Introductionmentioning

confidence: 96%

“…UAVs have the ability to act as computational platforms while communicating with wireless sensors. The mobility of UAVs also allows them to communicate with widely distributed wireless sensor networks [1,9,10,17]. Wireless sensing is particularly exciting for seismic geophysics.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

UAV-Deployed Impulsive Source Localization with Sensor Network

Greenwood

Zhou

Lynch

et al. 2016

7th Forum on New Materials - Part E

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The unmanned aerial vehicle (UAV) is a light weight flight system that can carry sensors and cameras for data collection. Tremendous excitement surrounds the use of UAVs because they can be deployed easily and rapidly for data collection; they also can be programmed to execute missions with high degrees of autonomy. For these reasons, UAVs hold promise in accelerating the collection of data in geophysical explorations. In this study, a UAV platform is explored for the collection of data from geophones deployed to measure the vibrations of a concrete slab foundation. The UAV is designed to drop a weight as a controlled energy source. Both the energy and location of the impulsive load are adjustable by the flight parameters of the UAV. The study adopts a time-domain analysis for source localization using the dense array of geophones

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

UAV-Deployed Impulsive Source Localization with Sensor Network

Greenwood

Zhou

Lynch

et al. 2016

7th Forum on New Materials - Part E

View full text Add to dashboard Cite

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Reconfigurable swarm robots for structural health monitoring: a brief review

Jahanshahi

Shen

Mondal

et al. 2017

Int J Intell Robot Appl

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Autonomous monitoring of infrastructure systems offers a promising alternative to manual inspection techniques which are mostly tedious, expensive and prone to error. Robot-based autonomous monitoring systems not only provide higher precision, but they also allow frequent inspection of infrastructure systems at a much lower cost. Recent advancements in robotic systems have led to the development of reconfigurable swarm robots (RSR) that can change their shape and functionality dynamically, without any external intervention. RSR have the advantages of being modular, on-site reconfigurable, multifunctional, incrementally assemble-able, reusable, faulttolerant, and even repairable on the orbit. Newly-developed reconfigurable robots are expected to bring a radical change in the prevailing structural health monitoring techniques, thus augmenting the efficiency, accuracy and affordability of inspection operations. This paper presents a holistic review of the previous studies and state-of-the-art technologies in the field of RSR, and argues that RSR offer great potential advantages from the perspective of monitoring and assessment of civil and mechanical systems. A roadmap for future research has also been outlined based on the limitations of the current methods and anticipated needs of future inspection systems.

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