摘要
在现阶段的变电站作业风险管控可视化远程监控中,由于可视化图像的处理速度较慢,监控结果时延较高。为此,提出基于YOLOv3算法的变电站作业风险管控可视化远程监控方法。在变电站作业环境中布设传感器节点实现作业信息的动态感知,将感知数据进行融合并进行远程传导,采用传导数据进行图像可视化后,引入YOLOv3算法对图像进行处理,加速图像处理进程,实现远程监控。实验结果表明:所提方法应用后得出的监控结果表现出的时延较低,均值为0.17 s,实时性较高,满足了变电站作业风险管控的现实监控需求。
In the current visualized remote monitoring of substation operation risk control,the slow processing speed of visual images leads to a high delay in monitoring results.To this end,a visualized remote monitoring method for substation operation risk control based on YOLOv3 algorithm is proposed.Dynamic perception of operation information is achieved by deploying sensor nodes in substation operation environment,and perception data are fused and remotely transmitted.After using the transmitted data for image visualization,the YOLOv3 algorithm is introduced to accelerate the image processing process,thereby realizing remote monitoring.The application of the proposed method has been verified by experiment to achieve low monitoring delay with an average of 0.17 s,and high real-time performance,satisfying the practical monitoring needs of substation operation risk control.
作者
史文正
SHI Wenzheng(Jiangsu Sudian Industry Management Co.,Ltd.,Nanjing 210000,China)
出处
《电工技术》
2024年第10期109-112,共4页
Electric Engineering
