Inspection Path Planning of Mobile Communication Base Stations Based on Automatic UAV Nest

Haotian Wu

doi:10.54097/f3pax216

Authors

Haotian Wu

DOI:

https://doi.org/10.54097/f3pax216

Keywords:

Drone nest; automatic inspection; drone path planning; simulated annealing algorithm.

Abstract

With the development of 5G mobile networks, the number of mobile communication base stations in China has increased rapidly, and regular inspection and maintenance are required. Traditional manual inspection has some shortcomings and limitations. In recent years, the development of drones and drone nest technology has made drone inspection feasible. Since the automation level of traditional manually controlled drone inspection is low, this paper proposes a base station inspection scheme based on drone nests. By establishing an inspection model and using the simulated annealing algorithm to solve the TSP problem, the drone inspection path is planned to improve the inspection efficiency and the unmanned and automated inspection level. In this paper, the simulation experimental results show that the algorithm can effectively obtain the global optimal solution in a relatively short time, realize the path planning of drone automatic inspection of base stations, and effectively improve the inspection efficiency of drones.

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