Cooperative Transmission Tower Inspection with a Vehicle and a UAV in Urban Areas
1
School of Management, Hefei University of Technology, Hefei 230009, China
2
Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei 230009, China
3
Engineering Research Center for Intelligent Decision-making & Information Systems Technologies, Ministry of Education, Hefei 230009, China
4
Anhui Jiyuan Software CO., Ltd., Hefei 230088, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(2), 326; https://doi.org/10.3390/en13020326
Received: 10 October 2019 / Revised: 4 January 2020 / Accepted: 6 January 2020 / Published: 9 January 2020
(This article belongs to the Special Issue Unmanned Aerial Vehicles for Energy Applications)
To reduce the workload of inspectors and improve the inspection efficiency of urban transmission towers, a new inspection method is proposed in this paper, in which an unmanned aerial vehicle (UAV) and vehicle cooperate with each other. We investigate the cooperative path planning problem of a UAV and a vehicle for transmission tower inspection and develop a new 0–1 integer programming model to address the problem. An odd-even layered genetic algorithm (O-ELGA) is proposed to efficiently solve the model. Finally, the effectiveness of the algorithm is further verified by simulation experiments.
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Keywords:
vehicle-carried UAV; TSP-D; transmission tower inspection; path planning; genetic algorithm
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MDPI and ACS Style
Wang, J.; Wang, G.; Hu, X.; Luo, H.; Xu, H. Cooperative Transmission Tower Inspection with a Vehicle and a UAV in Urban Areas. Energies 2020, 13, 326. https://doi.org/10.3390/en13020326
AMA Style
Wang J, Wang G, Hu X, Luo H, Xu H. Cooperative Transmission Tower Inspection with a Vehicle and a UAV in Urban Areas. Energies. 2020; 13(2):326. https://doi.org/10.3390/en13020326
Chicago/Turabian StyleWang, Ju; Wang, Guoqiang; Hu, Xiaoxuan; Luo, He; Xu, Haiqing. 2020. "Cooperative Transmission Tower Inspection with a Vehicle and a UAV in Urban Areas" Energies 13, no. 2: 326. https://doi.org/10.3390/en13020326
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