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作 者:Jinheng Li Hanbo Zheng Peng Liu Yanshen Liang Feng Shuang Junjie Huang
机构地区:[1]Guangxi Key Laboratory of Power System Optimization and Energy Technology,Guangxi University,Nanning,China [2]China Southern Power Grid Guangxi Power Grid Company Ltd.,Nanning,China [3]State Grid Hubei Electric Power Research Institute,Wuhan,China
出 处:《High Voltage》2024年第4期805-815,共11页高电压(英文)
基 金:National Natural Science Foundation of China,Grant/Award Numbers:52277139,52367014;Guangxi Science Fund for Distinguished Young Scholars,Grant/Award Number:2024GXNSFFA999017。
摘 要:Effective monitoring and early warning of overhead power lines are critical for ensuring power supply stability and personnel safety.However,existing methods that rely solely on single vision or light detection and ranging(LiDAR)have limitations such as numerous invalid alarms,hardware equipment constraints,and lack of real-time monitoring capabilities.This article proposes an intelligent monitoring method for safety distance of the powerline corridor based on heterogeneous sensor information.Firstly,an optimised single-stage detector is designed to detect safety hazard objects.In the detector,the backbone network and the sample matching strategy are improved;in addition,the learning strategy is adjusted.Next,the pose transformation relationship is obtained through the visual matching of prior LiDAR information and images.The back projection transformation of 2D–3D is achieved according to the relationship.Finally,a monocular camera-based end-to-end distance measurement scheme is proposed by combining 2D object information with coordinate transformation relationships.The scheme is applied to the distance measurements from hazard objects to powerlines.The experimental results show that the optimisation method improves the detection accuracy and reduces the computational complexity of the model.Also,case experiments with continuous frame data verify the effectiveness of the safety distance monitoring scheme.
关 键 词:VISUAL HARDWARE MATCHING
分 类 号:TM73[电气工程—电力系统及自动化]
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