Year: 2024
Type: article
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.
DOI: 10.54097/f3pax216
Author: Haotian Wu
Institution: Xidian University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405394331