无人机在地铁轨行区玻璃幕墙裂纹监测场景中的应用

Application of UAV in Glass Curtain Wall Crack Monitoring in Subway TrackAreas

鉴于传统玻璃幕墙巡检方案效率与准确率较低、报警信息滞后等问题,本文结合无人机、无线通信等技术,提供基于无人机的智能巡检系统,通过对无人机巡检视频数据进行智能分析,实现轨行区顶棚玻璃幕墙裂纹灾害自动监控和自动预警,从而保证列车运行站台乘客人身的安全。

In consideration of the low efficient,low accuracy,and delayed alarm information in traditional glass curtain walls test system,this article utilizes several technologies such as unmanned aerial vehicles(UAV)and wireless communication to provide an intelligent patrol test system based on UAVs.Through an intelligently analyze of UAVs video data,automatic monitoring and warning of crack disasters in the roof of glass curtain walls can be achieved,so as to guarantee the safety of train operation and thepassengers on the platform.