Benefits and challenges of using unmanned aerial systems in the monitoring of electrical distribution systems

Long, Daniel; Rehm, P.J.; Ferguson, Scott

doi:10.1016/j.tej.2018.02.004

Cited by 16 publications

(10 citation statements)

References 3 publications

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“…Besides bridges, a variety of research to explore and discuss the use of drone technology for a wider application in the inspection of other types of infrastructure facilities can be found as summarized in Table 1, such as powerlines, [48][49][50][51] towers, [52][53][54][55] industrial plants, [56][57][58] dams, 59,60 roads, 61,62 wind turbines, [63][64][65] and so on. These structures will always contain areas that are difficult to access by human investigators, and thus remote inspection using the UAV-based approach can be supportive.…”

Section: Inspection Of Infrastructure Facilitiesmentioning

confidence: 99%

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Wang

Ueda

2023

Structural Concrete

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For damaged buildings that had suffered from a destructive earthquake, timely damage inspection is essential to evaluate their residual seismic safety as well as to assess the long-term maintenance capacity for planning a suitable structural rehabilitation strategy for further service. However, the conventional inspection method by human hands is time-consuming, highly costly, and risky for inspectors in the fieldwork. Thus, in this present study, the current situation for structural damage inspection is summarized, the future potentials of newly developed technology in this field are explored, and the application and usage of robotic technologies with unmanned aerial vehicles (UAVs) and mobile robots that are rapidly developed recently have been reviewed and evaluated. In this work an overview is given of the practical applications of the UAV-and mobile robot-based damage inspection, in which these robotic machines are employed as useful tools to inspect and monitor the damaged condition of infrastructure facilities or buildings by collecting photography data. In addition, a conceptual comparison with the conventional approach is given to allow a better understanding of the advantages and limitations of a robotic technology-aimed damage inspection approach. Also, a discussion on instructions, recommendations, existing challenges, and future directions to address the robotic technology-aimed damage inspection approach into further practice is presented.

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Section: Inspection Of Infrastructure Facilitiesmentioning

confidence: 99%

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Wang

Ueda

2023

Structural Concrete

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“…This sensor is sensitive to the temperature range of −25 to 135 • C. The focal length of the sensor is 19 mm, with a digital image format at 640 × 512 pixels in radiometric JPEG, JPEG (8-bit), and TIFF (14-bit) (FLIR, 2016). These two commercial sensors have been proven to be particularly suitable for UAS remote sensing research in agriculture [67][68][69].…”

Section: Uas Platform and Sensorsmentioning

confidence: 99%

Retrieving Surface Soil Water Content Using a Soil Texture Adjusted Vegetation Index and Unmanned Aerial System Images

Lin

Guo

et al. 2021

Remote Sensing

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Surface soil water content (SWC) is a major determinant of crop production, and accurately retrieving SWC plays a crucial role in effective water management. Unmanned aerial systems (UAS) can acquire images with high temporal and spatial resolutions for SWC monitoring at the field scale. The objective of this study was to develop an algorithm to retrieve SWC by integrating soil texture into a vegetation index derived from UAS multispectral and thermal images. The normalized difference vegetation index (NDVI) and surface temperature (Ts) derived from the UAS multispectral and thermal images were employed to construct the temperature vegetation dryness index (TVDI) using the trapezoid model. Soil texture was incorporated into the trapezoid model based on the relationship between soil texture and the lower and upper limits of SWC to form the texture temperature vegetation dryness index (TTVDI). For validation, 128 surface soil samples, 84 in 2019 and 44 in 2020, were collected to determine soil texture and gravimetric SWC. Based on the linear regression models, the TTVDI had better performance in estimating SWC compared to the TVDI, with an increase in R2 (coefficient of determination) by 14.5% and 14.9%, and a decrease in RMSE (root mean square error) by 46.1% and 10.8%, for the 2019 and 2020 samples, respectively. The application of the TTVDI model based on high-resolution multispectral and thermal UAS images has the potential to accurately and timely retrieve SWC at the field scale.

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“…For locations, their administrative boundaries were sourced from Natural Earth Data at a 1:10m scale. The analysis focused primarily on UAS inspections as long linear infrastructure [14][15][16] and point obstacles. These realistic use cases are some the most mature and well understood UAS operations, as indicated by their evaluation as part of the UAS IPP, FAA UAS test site, or FAA Pathfinder activities.…”

Section: Use Cases and Data Sourcesmentioning

confidence: 99%

Method to Characterize Potential UAS Encounters Using Open Source Data

Weinert

2020

Aerospace

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As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.

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Benefits and challenges of using unmanned aerial systems in the monitoring of electrical distribution systems

Cited by 16 publications

References 3 publications

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

A review study on unmanned aerial vehicle and mobile robot technologies on damage inspection of reinforced concrete structures

Retrieving Surface Soil Water Content Using a Soil Texture Adjusted Vegetation Index and Unmanned Aerial System Images

Method to Characterize Potential UAS Encounters Using Open Source Data

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