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

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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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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (62173082), the Fundamental Research Funds for the Central Universities (N2004016), Shenyang Science & Technology Innovation Program for Young and Middle-aged Talents (RC210503), and the Liaoning Joint Fund of National Natural Science Foundation of China (U1908217).

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  1. School of Information Science and Engineering, Northeastern University, Shenyang, 110819, China

    Yanhong Luo, Xue Yu, Dongsheng Yang & Bowen Zhou

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  1. Yanhong Luo
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  2. Xue Yu
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  4. Bowen Zhou
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Correspondence to Yanhong Luo.

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Luo, Y., Yu, X., Yang, D. et al. A survey of intelligent transmission line inspection based on unmanned aerial vehicle. Artif Intell Rev 56, 173–201 (2023). https://doi.org/10.1007/s10462-022-10189-2

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