Cooperative Transmission Tower Inspection with a Vehicle and a UAV in Urban Areas

Ju Wang, Guoqiang Wang, Xiaoxuan Hu, He Luo and Haiqing Xu
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Ju Wang: School of Management, Hefei University of Technology, Hefei 230009, China
Guoqiang Wang: School of Management, Hefei University of Technology, Hefei 230009, China
Xiaoxuan Hu: School of Management, Hefei University of Technology, Hefei 230009, China
He Luo: School of Management, Hefei University of Technology, Hefei 230009, China
Haiqing Xu: Anhui Jiyuan Software CO., Ltd., Hefei 230088, China

Energies, 2020, vol. 13, issue 2, 1-17

Abstract: 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.

Keywords: vehicle-carried UAV; TSP-D; transmission tower inspection; path planning; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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