| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 5 | |
| Section | Energy Development and Energy Storage Technology Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202126101011 | |
| Published online | 21 May 2021 | |
Distribution Line Equipment and Defect Identification Based on Deep Learning
State Grid Jiangxi Maintenance Company, Nanchang 330029, China
492940297@qq.com, 13767131331
In this study, UAVs were used to collect data of distribution line resources, and defects in distribution line equipment and construction process were identified through deep learning. Different algorithms are used to identify the defects of distribution line equipment and construction process. The research will ultimately support regional synchronization and online development for intelligent automatic acceptance of the distribution wire UAV.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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