Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV)

Alexandros, Zormpas; Moirogiorgou, Konstantia; Kalaitzakis, K.; Plokamakis, George A.; Partsinevelos, Panagiotis; Giakos, G.C.; Zervakis, Michalis

doi:10.1109/ist.2018.8577142

Cited by 40 publications

(27 citation statements)

References 5 publications

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“…Assumptions make about the UAV path planning in this paper are as follows. (1). It is assumed that the power consumption of UAV when flying along the transmission line is proportional to the flight distance/time.…”

Section: Route Planning Of Uav Inspection Considering the Risk Prmentioning

confidence: 99%

“…Besides, transmission lines and their accessories are exposed to the field for a long time, which will be damaged by mechanical tension, electrical flashover, etc. If these problems cannot be found and repaired in time, it will bring great risks to the stable operation of transmission lines [1]. In order to prevent serious accidents, the operation and maintenance department of the state grid has to invest a lot of manpower, material, and financial resources to inspect the transmission lines every year.…”

Section: Introductionmentioning

confidence: 99%

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Application of Unmanned Aerial Vehicle Hangar in Transmission Tower Inspection Considering the Risk Probabilities of Steel Towers

2019

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As a typical Internet of Things (IoT) application of the transmission grid, Unmanned Aerial Vehicle (UAV) is the most feasible solution to replace conventional human maintenance resources during the inspection of power transmission lines. However, limited by the flying range and endurance time, it cannot realize the goal of full-autonomous inspection proposed by the State Grid. Based on the UAV inspection technology and the emerging UAV hangar, a new idea of using smart hangar as a connection point to realize full-autonomous inspection of UAV is proposed in this paper. And then making full use of the smart hangar to solve the battery capacity problem existing in the process of autonomous inspection of UAV. Finally, according to the inspection requirements of transmission towers, the fixed-wing UAV is used for longdistance inspection, and the path planning mathematical model considering the risk probabilities of towers and objective functions is established. Simulation results show that the scheme proposed in this paper can effectively solve the existed problems of UAV inspection. INDEX TERMS Transmission line inspection, UAV smart hangar, risk probability, fully-autonomous UAV inspection, path planning.

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Section: Route Planning Of Uav Inspection Considering the Risk Prmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Unmanned Aerial Vehicle Hangar in Transmission Tower Inspection Considering the Risk Probabilities of Steel Towers

2019

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“…To overcome these limitations, an unmanned aerial vehicle (UAV), known as a drone, is used to perform the task. UAVs can fly close to the power lines, which have several benefits such as being a convenient, flexible, inexpensive, and safe way to acquire data from the distribution line system [6]- [12].…”

Section: Introductionmentioning

confidence: 99%

Detecting Power Lines Using Point Instance Network for Distribution Line Inspection

et al. 2021

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Power outages can disrupt daily domestic activities as well as the economy as operations are hampered when they occur. They can decrease work productivity by delaying operations that require electricity. The key solution to this problem is to ensure that there are fewer or no power interruptions. This can be achieved by ensuring secure and continuous network operations through regular maintenance and inspection. However, the traditional inspection technique of foot patrol is risky, laborious, and timeconsuming. A preferable contemporary technique uses an unmanned aerial vehicle (UAV) for inspecting distribution lines. Detecting power lines are crucial for real-time motion planning and navigation of UAVs. Previous techniques that depend on conventional filters and gradients may fail to detect power lines because of noisy backgrounds. Thus, this study proposes a novel technique by adopting the Transfer Learning approach The process involves fine-tuning a pretrained network from Point Instance Network (PINet) road lane detection model to fit the power line detection task. The proposed method extends the PINet model by adding a comparator for rotation block before it and a postprocessing block after it. This study generates four versions of the model, each of which was trained on one of the following datasets (i) self-gathered images captured by a handheld camera, (ii) a drone, (iii) publicly accessible images from the Power Line Dataset of Mountain Scene (PLDM), and (iv) Power Line Dataset of Urban Scene (PLDU). Experimental results on each dataset confirm the feasibility of the proposed approach.

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“…With the rapid development of the national economy, the continuous growth of the people's daily electricity demand and the continuous advancement of the construction of the global energy Internet, the scale of long-distance and large-span overhead transmission lines has been continuously expanded, and the geographical environment of the line corridors has become increasingly complex [1] . It is indispensable to conduct regular inspections of transmission lines to grasp changes in line operating conditions and discover equipment defects and factors in time, which contributes to eliminating hidden dangers and preventing accidents [2] . Due to the problems of high labor intensity, difficult working conditions, and low labor efficiency [3] , the traditional manual line inspection operation methods [4] can no longer fully meet the safe operation and maintenance requirements of modern ultra-high voltage (UHV) power grids.…”

Section: Introductionmentioning

confidence: 99%

The Collaborative Power Inspection Task Allocation Method of “Unmanned Aerial Vehicle and Operating Vehicle”

et al. 2021

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In order to overcome the short battery life and poor long-distance maneuverability of Unmanned Aerial Vehicle (UAV) in power inspection operations, some provincial and municipal power companies promote a new mode of "UAV and operating vehicle (OV)" collaborative power inspection. This paper investigates into the actual problems in the cooperative inspection operations of the OV and multi-UAVs, and proposes a model of task allocation for the cooperative inspections of the OV and multi-UAVs, which includes four sub-problems: the division of a single operation circle, the location of parking spots, multi-UAVs task allocation, and the path planning of OV. The proposed model is solved by using improved K-means algorithm and genetic algorithm, and case analysis is carried out. The calculation results show that the model of task allocation for cooperative inspections proposed in this paper is practical and feasible, which can provide theoretical guidance for actual power inspections.

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Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV)

Cited by 40 publications

References 5 publications

Application of Unmanned Aerial Vehicle Hangar in Transmission Tower Inspection Considering the Risk Probabilities of Steel Towers

Application of Unmanned Aerial Vehicle Hangar in Transmission Tower Inspection Considering the Risk Probabilities of Steel Towers

Detecting Power Lines Using Point Instance Network for Distribution Line Inspection

The Collaborative Power Inspection Task Allocation Method of “Unmanned Aerial Vehicle and Operating Vehicle”

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