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作 者:孔小红 蒋陵 管翰林 王驭扬 张灿 石伟伟 陈乐 KONG Xiaohong;JIANG Ling;GUAN Hanlin;WANG Yuyang;ZHANG Can;SHI Weiwei;CHEN Le(Nanjing Power Supply Branch,Statr Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210019,China;Jiangsu Liangweishi Technology Co.,Ltd.,Nanjing 210046,China)
机构地区:[1]国网江苏省电力有限公司南京供电分公司,南京210019 [2]江苏量为石科技股份有限公司,南京210046
出 处:《光通信技术》2023年第4期79-84,共6页Optical Communication Technology
基 金:国网江苏省电力有限公司科技项目(项目编号:J2023074)资助。
摘 要:由于恶劣的自然环境和光缆本身弧度的变化会影响全介质自承式(ADSS)光缆传输效率,同时一些如施工或超高车辆及烟火等环境隐患也会严重威胁其正常运行,提出了基于ADSS光缆弧垂在线监测及环境隐患预警算法。首先,采用倾角测量法对弧度进行实时监测;然后,对YOLOv4检测算法进行改进,并设计了可视化智能融合终端;最后,将所提算法与其它算法进行对比实验。实验结果表明:所提算法的平均精度为96.43%,实现了对通信光缆运行状态的实时监测、数据处理与故障分析和智能隐患异常报警,并集成融合为ADSS光缆在线监测可视化智能终端。Due to the harsh natural environment and the change in the arc of the cable itself will affect the transmission efficiency of the all-medium self-supporting(ADSS)cable,and some environmental hazards such as construction or ultra-high vehicles and fireworks will seriously threaten its normal operation,an ADSS optical cable sag online monitoring and environmental hazard warning algorithm is proposed.Firstly,the angle measurement method is used to monitor the radian in real time.Then,the detection algorithm of YOLOv4 is improved,and the visual intelligent fusion terminal is designed.Finally,the proposed algorithm is compared with other algorithms.The experimental results show that the average accuracy of the proposed algorithm is 96.43%,which realizes real-time monitoring,data processing,fault analysis and intelligent hidden danger alarm of the communication optical cable running state,and integrates into the ADSS optical cable online monitoring visual intelligent terminal.
分 类 号:TN929.1[电子电信—通信与信息系统]
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