摘要
针对高铁列车运行前方出现异物入侵、人员侵限、隧道落物、山体滑坡等突发危险情况时,司机如何提前实现险情预判并采取措施,设计开发了基于5G的高铁列车超视距行车辅助预警系统。通过高铁沿线部署的摄像头等智能感知设备采集视频信息,并通过光纤传回铁路局智能视频云平台及视频共享中心,进行险情智能识别;结合列车寻位进行关联计算后,通过5G网络将视频及报警信息传输至动车组司机室的车载显示终端,为司机提供超视距视频展示、前方险情报警及行车导引等功能。该系统已在广深港客运专线开展了现场试验,取得了良好效果,为高铁行车安全提供了新的技防手段。
To help high-speed railway train drivers foresee potential dangers and take measures in advance,when the incidence of foreign objects invasion,personnel intrusion,falling objects in tunnels,landslides and other sudden dangers in high-speed railway,the beyond-visual-range(BVR)driving assistance and alarming system for high-speed railway train is developed,in which video data is collected via smart sensing devices such as cameras installed along the rails and transmitted to the intelligent video cloud platform and the video sharing center in the railway bureau for intelligent danger identification.Then,correlation calculation is made with train’s location and the video and alarm data will be sent to the on-board display terminal in the EMU driver’s cab over the 5 G network.The on-board display terminal can provide drivers with functions such as BVR video display,danger alarm and driving guidance.Field tests have been conducted on the Guangzhou-Shenzhen-Hong Kong passenger dedicated line and good results have been achieved,providing new technical guarantees for the safety of train operation in highspeed railway.
出处
《铁道通信信号》
2022年第2期49-55,共7页
Railway Signalling & Communication
基金
中国铁路广州局集团有限公司科研课题(2021K076-Z)。
关键词
高铁
5G网络
超视距
险情识别
预警
智能感知
High-speed railway
5G network
Beyond-visual-range(BVR)
Danger identification
Alarm
Intelligent sensing