Paper
28 February 2023 Research on low latency return method of transmission line UAV inspection data
Author Affiliations +
Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 125961U (2023) https://doi.org/10.1117/12.2671897
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China
Abstract
In the process of practical application, constrained by the UAV's own performance and other conditions, some transmission line UAV inspection data low latency back transmission method has the defect of high probability of code element error. In this context, a new method of low latency return transmission line UAV inspection data is designed. Construct the transmission line inspection task allocation model, derive the mathematical expression formula of the distance interval between the stationing point and the target tower in the area to be inspected, describe the probability of priority allocation in the inspection data transmission process, detect the effective bandwidth of the UAV channel, decompose the time delay between the UAV transmission end and the ground receiving end, and design the data low-latency back transmission method. Test result: The mean value of code element error probability of the designed transmission line UAV inspection data low latency return method is 2.214%, which has a higher performance advantage compared to the other two transmission line UAV inspection data low latency return methods.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong He, Hanjie Yuan, Jianan Yao, Yu Zhang, Lin Lu, Qi Tan, Tianhang Jiang, Haiao Tan, Limeng Dong, and Yiming Wang "Research on low latency return method of transmission line UAV inspection data", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 125961U (28 February 2023); https://doi.org/10.1117/12.2671897
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KEYWORDS
Inspection

Unmanned aerial vehicles

Data transmission

Data communications

Design and modelling

Data modeling

Signal to noise ratio

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