E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||6|
|Section||Energy Chemistry and Energy Storage and Save Technology|
|Published online||12 May 2021|
Research on Recognition of Electricity Fittings in High Voltage Transmission Lines
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: email@example.com
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
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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