| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 01074 | |
| Number of page(s) | 6 | |
| Section | Energy Chemistry and Energy Storage and Save Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202125701074 | |
| Published online | 12 May 2021 | |
Research on Recognition of Electricity Fittings in High Voltage Transmission Lines
1
School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
2
School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
3
School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
* Gao Qing-feng: gaoqf@ncepu.edu.cn
On the basis of analyzing the structure of common power fittings in high-voltage transmission lines and their image features, combined with the DNN deep neural network in machine learning, we proposed a model suitable for high-voltage transmission line inspection robots to identify the types of electric power fittings on the transmission lines. And design a fast ROI generation method suitable for recognizing fittings on power transmission lines. Then we verify the feasibility and rationality of the fitting identification model.
© The Authors, published by EDP Sciences, 2021
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