Research on visual recognition method of distribution network grounding ring

Qiuyan Zhang; Shuzhou Xiao; Ruyun Huang; Ruifeng Zhang; Peng Zeng

doi:10.1117/12.2683182

26 June 2023 Research on visual recognition method of distribution network grounding ring

Qiuyan Zhang, Shuzhou Xiao, Ruyun Huang, Ruifeng Zhang, Peng Zeng

Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 127141Q (2023) https://doi.org/10.1117/12.2683182
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

The accurate identification of the grounding ring of the distribution network is the prerequisite for the grounding protection of the live working robot. In order to improve the recognition accuracy, this study improves the YOLOX network. In order to facilitate deployment on the host computer, this method is based on YOLOX-S, replaces the PAFPN feature utilization layer of the neck with a simplified BiFPN network, uses GIoU_Loss as the positioning loss function, and uses Focal Loss as the confidence prediction loss function. Experiments on the grounding ring of the distribution network verify the feasibility of the proposed identification method and meet the working requirements of live working robots.

Citation Download Citation

Qiuyan Zhang, Shuzhou Xiao, Ruyun Huang, Ruifeng Zhang, and Peng Zeng "Research on visual recognition method of distribution network grounding ring", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 127141Q (26 June 2023); https://doi.org/10.1117/12.2683182

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KEYWORDS

Detection and tracking algorithms

Education and training

Target detection

Head

Visualization

Feature extraction

Performance modeling

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