双视融合与边缘计算在智能巡检中的应用

Application of Dual View Fusion and Edge Computing in Intelligent Inspection

智能巡检技术在变电站已得到初步应用,但仍存在人工筛查依赖高、巡检效率低等一系列问题。本文针对变电站巡检的场景,从基于双视融合的图像异常识别和基于边缘计算的视频诊断两个方面提出了技术解决方案识别设备异常,实现了巡检作业的智能化和工作效率的提升。

Intelligent inspection technology has been applied in the substation, but there was still a series of problems, such as high dependence on manual screening and low inspection efficiency. In this paper, in the scene of substation inspection, from two aspects of image anomaly recognition based on dual view fusion and video diagnosis based on edge computing, technical solutions are proposed to identify equipment anomalies, and realize the intelligent inspection and work efficiency improvement.