摘要
利用复兴号服役动车组配备的弓网监控系统,采用计算机视觉技术对弓网视频图像序列进行离线处理,智能识别接触线和受电弓滑板接触点,采集弓网燃弧图像,测量受电弓动态包络线数据,包括受电弓横向摆动量和动态抬升量。为长时间追踪服役动车组的弓网受流性能变化,掌握不同时期的弓网受流性能规律提供技术支持。
Using the necessary on-board pantograph-catenary surveillance system of“CR400”,the off-line processing of pantographcatenary surveillance video image sequence is carried out by using computer vision technology.Related contact points between pantograph slide plate and contact line are intelligently identified,the pantograph-catenaryarcing images are collected,and the dynamic envelope data of pantograph including transverse swing and dynamic lifting of pantograph is measured.It provides technical support for tracking the change of pantograph-catenary current collection performance of“CR400”for a long time and mastering the pantographcatenary current collection performance in different periods.
作者
孔龙飞
韩通新
李卓
田亮
刘忠彬
戴晋
KONG Longfei;HAN Tongxin;LI Zhuo;TIAN Liang;LIU Zhongbin;DAI Jin(Locomotive&Car Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing Zongheng Electro-Mechanical Technology Co.,Ltd.,Beijing 100094,China)
出处
《铁道机车车辆》
北大核心
2022年第3期118-124,共7页
Railway Locomotive & Car
基金
中国铁道科学研究院集团有限公司重点课题(2019YJ005)。
关键词
复兴号动车组
弓网受流
弓网燃弧
受电弓动态包络线
Fuxing EMU
pantograph-catenary current collection
arcing
dynamic envelope of pantograph