宁夏电力Issue(5)：40-44,85,6.DOI:10.3969/j.issn.1672-3643.2025.05.006
融合智能感知的电力现场作业云边端协同安全管控方法
Cloud-edge-device collaborative safety management method for power field operations with integrated intelligent perception
白兴涛 1康文妮 1高博 1张庆平 1李永亮1
作者信息
- 1. 国网宁夏电力有限公司电力科学研究院,宁夏 银川 750011
- 折叠
摘要
Abstract
The high-risk nature of power field operations necessitates intelligent safety management solutions.Traditional methods relying on manual experience and static mechanisms struggle to adapt to dynamic environments and complex risks.To address this issue,this paper proposes a cloud-edge-device collaborative safety management method integrated with intelligent perception.A lightweight edge deep learning model,combined with transfer learning,is employed to maintain model accuracy under edge resource constraints.Experimental validation confirms that the proposed cloud-edge-device collaborative architecture enables real-time risk identification,resource optimization,and proactive early warning,thereby providing a scalable pathway to enhance safety management for power field operations.关键词
智能感知/云边端协同/迁移学习/轻量化神经网络/安全管控Key words
intelligent perception/cloud-edge-device collaboration/transfer learning/lightweight deep neural network(DNN)/safety management and control分类
信息技术与安全科学引用本文复制引用
白兴涛,康文妮,高博,张庆平,李永亮..融合智能感知的电力现场作业云边端协同安全管控方法[J].宁夏电力,2025,(5):40-44,85,6.
