Embedded Monitoring System for High-Voltage Transmission Line Based on Image Recognition
The safety of power grid will be seriously affect by overhead line tripping caused by foreign invasion.Therefore,this paper proposes a detection method based on binocular stereo vision algorithm,and realizes the on-line foreign invasion detection system based on embedded front-end.Compared with the traditional method based on monocular camera detection,this method is superior in more accurately estimating the position of the target within the scene,which can improve the foreign invasion alarming accuracy.At the same time,the system,based on the embedded front-end,can reduce the system network bandwidth utilization and the overall system power consumption.The experimental results show that the presented system can effectively achieve the on-line foreign invasion automatic detection for high-voltage transmission lines.
embedded monitoring system for overhead linesimage recognitionbinocular stereo vision algorithmhigh-voltage transmission linepower grid
NETL
NSTL
万方数据
维普
