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作 者:黄昌奎 HUANG Changkui(Safety Supervision Office,China Railway Shanghai Group Co.,Ltd.,Shanghai 20071,China)
机构地区:[1]中国铁路上海局集团有限公司安全监察室,上海200071
出 处:《铁道货运》2023年第2期28-33,47,共7页Railway Freight Transport
基 金:中国铁路上海局集团有限公司科研项目(201157)。
摘 要:目前铁路机车监控设备尚不能动态监测铁路线路上是否有异物,为了防止列车在运行过程中与线路上的障碍物相撞,除加强铁路运营安全环境管理之外,还要努力解决列车司机瞭望距离不足等客观问题。研究铁路机车车载障碍物智能预警系统,利用车载非制冷探测器探测前方安全距离范围内目标物体的红外热辐射,通过光学原理和数据处理,将目标物体的温度分布图像转换成红外视频热图像,通过智能识别算法和图像处理技术,将线路上的异物图像传达到司机便于观察的显示终端,自动检测并实时提醒司机列车运行前方线路是否有障碍物,辅助列车司机安全驾驶。At present,the railway locomotive monitoring equipment can’t dynamically monitor whether there is a foreign body on the railway line.In order to prevent the collision between the train and the obstacles on the line in the process of running,in addition to strengthening the management of the railway operation safety environment,efforts should be made to solve the objective problem of insufficient lookout distance for train drivers.This paper studied the intelligent warning system of obstacles on board railway locomotive,detected the infrared thermal radiation of target objects within the safe distance ahead by using uncooled detectors on board,converted the temperature distribution image of target objects into infrared video thermal images through optical principle and data processing,and used intelligent recognition algorithm and image processing technology.The foreign body image on the line will be transmitted to the display terminal for the driver to observe,and the driver will be automatically detected and reminded in real time whether there are obstacles on the line ahead of the train operation,so as to assist the train driver to drive safely.
分 类 号:U298.12[交通运输工程—交通运输规划与管理]
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