research-article

A survey of intelligent transmission line inspection based on unmanned aerial vehicle

Authors:

Dongsheng Yang,

Bowen ZhouAuthors Info & Claims

Artificial Intelligence Review, Volume 56, Issue 1

Pages 173 - 201

https://doi.org/10.1007/s10462-022-10189-2

Published: 22 April 2022 Publication History

Abstract

With the development of the new generation of information technology, artificial intelligence, cloud computing and big data are gradually becoming powerful engines of the smart grid. In recent years, people have been exploring how to reduce the dependence on human experience in the field of transmission line inspection. Therefore, transmission line inspection has attracted wide attention because of its high intelligence, flexibility and reliability. In this paper, we would like to present a survey on the intelligent transmission line inspection based on unmanned aerial vehicle (UAV). Firstly, the origin and development of intelligent electric power inspection are reviewed, and then the process of intelligent transmission line inspection and three key issues, i.e., path planning of UAV, trajectory tracking, and fault detection and diagnosis are presented in details. Finally, the challenges and future solutions are pointed out for power inspection.

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Cited By

Ji CGao MZhou SLiu JZhu YHuang X(2024)DRI-Net: a model for insulator defect detection on transmission lines in rainy backgroundsJournal of Real-Time Image Processing10.1007/s11554-024-01461-521:3Online publication date: 9-May-2024
https://dl.acm.org/doi/10.1007/s11554-024-01461-5
Bai FJin BLiu MWang JLiu J(2023)Semantic Segmentation of Transmission Lines with Fusion of Convolution and Multi-Head Self-AttentionProceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications10.1145/3654446.3654513(372-377)Online publication date: 8-Dec-2023
https://dl.acm.org/doi/10.1145/3654446.3654513
Li WFeng YWang YLv YLi XChen Q(2023)Static and Steady-state Dynamic Response of Iron Towers Based on Finite ElementProceedings of the 2023 International Conference on Big Data Mining and Information Processing10.1145/3645279.3645305(149-154)Online publication date: 17-Nov-2023
https://dl.acm.org/doi/10.1145/3645279.3645305

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cover image Artificial Intelligence Review

Artificial Intelligence Review Volume 56, Issue 1

Jan 2023

794 pages

ISSN:0269-2821

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© The Author(s), under exclusive licence to Springer Nature B.V. 2022.

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Kluwer Academic Publishers

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Published: 22 April 2022

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Natural Science Foundation of Liaoning Province
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National Natural Science Foundation of China-Liaoning Joint Fund (CN)
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Cited By

Ji CGao MZhou SLiu JZhu YHuang X(2024)DRI-Net: a model for insulator defect detection on transmission lines in rainy backgroundsJournal of Real-Time Image Processing10.1007/s11554-024-01461-521:3Online publication date: 9-May-2024
https://dl.acm.org/doi/10.1007/s11554-024-01461-5
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