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Skeleton-based Violation Action Recognition Method for Safety Supervision in Operation Field of Distribution Network Based on Graph Convolutional Network

Bo Wang Fuqi Ma Rong Jia Peng Luo Xuzhu Dong

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(6)：2179-2187,9.

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(6)：2179-2187,9.DOI:10.17775/CSEEJPES.2020.03000

Skeleton-based Violation Action Recognition Method for Safety Supervision in Operation Field of Distribution Network Based on Graph Convolutional Network

Bo Wang ¹Fuqi Ma ¹Rong Jia ²Peng Luo ¹Xuzhu Dong¹

作者信息

1. School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China
2. School of Electrical Engineering,Xi'an University of Technology,Xi'an 710054,China
折叠

摘要

关键词

Action recognition/graph convolutional network/power safety risk/power vision/safety supervision/skeleton information

Key words

Action recognition/graph convolutional network/power safety risk/power vision/safety supervision/skeleton information

引用本文复制引用

Bo Wang,Fuqi Ma,Rong Jia,Peng Luo,Xuzhu Dong..Skeleton-based Violation Action Recognition Method for Safety Supervision in Operation Field of Distribution Network Based on Graph Convolutional Network[J].中国电机工程学会电力与能源系统学报（英文版）,2023,9(6):2179-2187,9.

基金项目

This work was supported in part by the Guizhou Province Science and Technology Plan Project(Gan ke he zhi cheng G.[2020]2Y039),and the National Natural Science Foundation of China(No.51779206). （Gan ke he zhi cheng G.[2020]2Y039）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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