摘要
提出了一种基于双目视觉图像的电力设备状态检测算法。利用双目相机获取电力设备的巡检图,计算巡检图中感兴趣区域的视差图,从视差图中获得距离信息分布。根据所述距离信息分布,确定所述电力设备的状态。通过双目视觉测距原理实现设备状态识别,为变电设备状态的识别提供了新方法,实现了电力设备状态的快速、准确识别。
A kind of power equipment state detection algorithm based on binocular vision image is presented, and the power equipment image is obtained by binocular camera in substation.Disparity map of legion of interest in the inspection image is calculated, and the distance information distribution is obtained in the disparity map.According to the distance information distribution, the status of electrical equipment is determined.Through the principle of binocular vision ranging, equipment status identification is realized, which provides a new method for the identification of substation equipment status, and realizes the rapid and accurate identification of power equipment status.
作者
胡旻昊
王海滨
王岐
阳薇
高鸣
Hu Minhao Wang Haibin Wang Qi Yang Wei Gao ruing(Maintenance Company, State Grid Heilongjiang Electric Power Compan)
出处
《电子世界》
2017年第21期16-18,共3页
Electronics World
