Drone-Based Vibration Monitoring and Assessment of Structures

Carroll, Sabrina; Satme, Joud; Alkharusi, Shadhan; Vitzilaios, Nikolaos; Downey, Austin; Rizos, Dimitris

doi:10.3390/app11188560

Cited by 20 publications

(14 citation statements)

References 23 publications

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“…One of our laboratories (Vitzilaios) has previously used sUASs for engineering applications, [17][18][19] and together we have worked to develop a fluorescence sensor for chlorophyll to act as an intelligent trigger for water sampling by a sUAS. In the present work, we focus attention on the fluorometer we designed for automatically triggering water sampling and its performance in the laboratory and a field trial.…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll Fluorometer for Intelligent Water Sampling by a Small Uncrewed Aircraft System (sUAS)

et al. 2022

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We describe a waterproof, lightweight (1.3 kg) low power (∼1.1 W average power) fluorometer operating on 5 VDC deployed on a small Uncrewed Aircraft System (sUAS) to measure chlorophyll and used for triggering environmental water sampling by the sUAS. The fluorometer uses a 450 nm laser modulated at 10 Hz for excitation and a standard photodiode and transimpedance amplifier for the detection of fluorescence. Additional detectors are available for measuring laser intensity and light scattering. Control of the fluorometer and communication between the fluorometer and the Raspberry Pi 4B computer controlling the sampler were provided by an Arduino microcontroller using the Robot Operating System (ROS). Calibrations were based on standards of dissolved chlorophyll extracted from Chlorella powder (a widely available dietary supplement). The detection limit for chlorophyll from these calibrations was found to be 0.2 micrograms per liter of water for a single 0.1 sec differential measurement. The detection limit decreases with the square root of the integration time as expected. Detection limits increase by a factor of 2 to 3 when mounted in the sUAS due to electrical noise; sUAS acoustic noise and vibration do not appear to contribute significantly.

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Section: Introductionmentioning

confidence: 99%

Chlorophyll Fluorometer for Intelligent Water Sampling by a Small Uncrewed Aircraft System (sUAS)

et al. 2022

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“…The system can be used to assign new flight plans to the aircraft or to download logs of the previous flight and upload them to a different location. It can be used for package retrieval as in [7], where a docking station was used for sensor package retrieval.…”

Section: Data Transfermentioning

confidence: 99%

“…Robot arm for battery pack manipulation in[40]. The different parts are described in the paper as: Carousel (1), Servo Motor (2), Rocker Arm (3), UAV Battery Holder (4), Battery Bracket (5), Arm Battery Holder (6), Finger with motor(7), Bottom Battery Holder (8), Carousel Bracket Height (9), and Shaft(10).…”

mentioning

confidence: 99%

A Decade of UAV Docking Stations: A Brief Overview of Mobile and Fixed Landing Platforms

Grlj

Krznar²,

Pranjic

2022

Drones

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Unmanned Aerial Vehicles have advanced rapidly in the last two decades with the advances in microelectromechanical systems (MEMS) technology. It is crucial, however, to design better power supply technologies. In the last decade, lithium polymer and lithium-ion batteries have mainly been used to power multirotor UAVs. Even though batteries have been improved and are constantly being improved, they provide fairly low energy density, which limits multirotors’ UAV flight endurance. This problem is addressed and is being partially solved by using docking stations which provide an aircraft to land safely, charge (or change) the batteries and to take-off as well as being safely stored. This paper focuses on the work carried out in the last decade. Different docking stations are presented with a focus on their movement abilities. Rapid advances in computer vision systems gave birth to precise landing systems. These algorithms are the main reason that docking stations became a viable solution. The authors concluded that the docking station solution to short ranges is a viable option, and numerous extensive studies have been carried out that offer different solutions, but only some types, mainly fixed stations with storage systems, have been implemented and are being used today. This can be seen from the commercially available list of docking stations at the end of this paper. Nevertheless, it is important to be aware of the technologies being developed and implemented, which can offer solutions to a vast number of different problems.

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“…UAS integrated cameras have been used for different purposes such as automation of UAS and their automated landing on a moving target using vision based methods [ 18 , 19 ] or to detect cracks and corrosion, produce the Digital Elevation Maps (DEMs) maps of the structure and its soundings, and collect static data generate 3D structural models [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. Carrol et al [ 20 ] designed and developed a sensor package that was deployed on a structure by a drone to conduct a vibration assessment of a structure in the laboratory. Most previous work has used red-green-blue (RGB) cameras to identify visually apparent deficiencies in structures or they focus of static behaviors of the bridges rather than their dynamic responses.…”

Section: Introductionmentioning

confidence: 99%

Sensor Equipped UAS for Non-Contact Bridge Inspections: Field Application

Nasimi

Moreu

Fricke

2023

Sensors

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In the future, sensors mounted on uncrewed aerial systems (UASs) will play a critical role in increasing both the speed and safety of structural inspections. Environmental and safety concerns make structural inspections and maintenance challenging when conducted using traditional methods, especially for large structures. The methods developed and tested in the laboratory need to be tested in the field on real-size structures to identify their potential for full implementation. This paper presents results from a full-scale field implementation of a novel sensor equipped with UAS to measure non-contact transverse displacement from a pedestrian bridge. To this end, the authors modified and upgraded a low-cost system that previously showed promise in laboratory and small-scale outdoor settings so that it could be tested on an in-service bridge. The upgraded UAS system uses a commodity drone platform, low-cost sensors including a laser range-finder, and a computer vision-based algorithm with the aim of measuring bridge displacements under load indicative of structural problems. The aim of this research is to alleviate the costs and challenges associated with sensor attachment in bridge inspections and deliver the first prototype of a UAS-based non-contact out-of-plane displacement measurement. This work helps to define the capabilities and limitations of the proposed low-cost system in obtaining non-contact transverse displacement in outdoor experiments.

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Drone-Based Vibration Monitoring and Assessment of Structures

Cited by 20 publications

References 23 publications

Chlorophyll Fluorometer for Intelligent Water Sampling by a Small Uncrewed Aircraft System (sUAS)

Chlorophyll Fluorometer for Intelligent Water Sampling by a Small Uncrewed Aircraft System (sUAS)

A Decade of UAV Docking Stations: A Brief Overview of Mobile and Fixed Landing Platforms

Sensor Equipped UAS for Non-Contact Bridge Inspections: Field Application

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