基于图像识别的煤矿井下机车速度监控系统设计

 在煤矿井下机车运行状态监控系统中，机车速度的实时测定是一项重要的监控过程。本文根据机载摄像仪拍摄的机车运行现场状况，通过分析巷道视频图像序列，提出了一种基于图像模板匹配的方法来获取机车运行的实时速度。首先利用双目立体测距技术来获取机车移动的距离，在根据抽取图像的帧数间隔获取机车运行时间，最后通过速度计算公式计算出机车运行速度。机车速度的有效实时监控可以为减少井下运输事故的发生，提高煤炭的产量。

The investigate of Monitoring of the locomotive speed in the Coal Mine based on image recognition

Determination of locomotive speed is an important test parameter in the monitoring system of the Running locomotive under the coal mine,. This paper is based on the site status that acquired by the Camera which is installed on the locomotive, analyzing the video image sequence, a template matching method based on the images is used to get the locomotive speed. By the methods of ranging techniques to obtain the locomotive moving distance, according to the number of frames extracted from the image for locomotive running time intervals, the last formula is calculated by the speed locomotive speed. The effective monitoring of Locomotive speed can reduce the occurrence of transport accidents in the coal mine and increase the production of coal.