地铁曲线站台空隙异物自动检测预警系统研究

针对地铁司机在开车前无法独自完成曲线站台车门与屏蔽门间空隙异物检测而存在运营安全的隐患,提出一套地铁曲线站台空隙异物自动检测预警系统。通过在站台每扇屏蔽门上方安装微型摄像机来拍摄站台屏蔽门与车门间空隙图像,利用图像处理算法对所拍摄的图像进行车门检测并确定车门在图像中的区域（即感兴趣区域）,在乘客上下车完成后对感兴趣区域进行异物检测,并在存在异物的情况下发出预警,提醒司机延迟开车。实验证明,该系统能准确检测出空隙中存在的异物,可以辅助列车司机完成开车前对地铁曲线站台空隙异物的检测。

Automatic detection and early warning system of foreign objects in subway curve platform

The subway driver can not complete the foreign objects detection of the gap between the door of the train and the platform screen door (PSD) before driving. This may cause operational safety problems. This paper proposed an automatic detection and early warning system of foreign objects in subway curve platform. A micro camera was installed above the PSD to photograph the gap between the PSD and the door of the train. The advanced image processing algorithm was used to detect the door of the image and determine the area of the door in the image (i.e. the region of interest). After the passengers got on and got off, the foreign object detection was carried out in the region of interest. In the presence of foreign objects, it was issued a warning to remind the driver delayed driving. The experiment proves that the system can accurately detect the presence of foreign objects in the gap, which can assist the train driver to detect the foreign objects in the gap of subway curve platform before driving.