基于图像处理的矿用输送机故障检测研究

Research on Fault Detection of Mine Conveyor Based on Image Processing

我国煤矿设备故障现象时有发生,而且矿山安全也是一直备受关注的焦点。随着计算机视觉技术的发展,视频监控技术在煤矿生产中得到了广泛的应用,视频监控是保障设备安全的重要途径。为煤矿安全生产提供了技术支持和保障。带式输送机运输设备广泛应用于矿山生产设备中,在长时间高强度运行中均易发生故障,使矿山视频监控系统研究成为重点。煤矿设备视频监控将取代人工控制模式,实现异常状态的实时自动监控。为实现带式输送机的可视化,提出了一种带式输送机异常状态监测方法。

The failures of coal mine equipment in China have often occurred,and mine safety has always been the focus of attention.With the development of computer vision technology,video surveillance technology has been widely used in coal mine production.Video surveillance is an important way to ensure equipment safety,which provides technical support and guarantee for coal mine safety production.Belt conveyor transportation equipment is widely used in mine production equipment,which is prone to failure in long-term high-intensity operation,making research on mine video surveillance system a key point.Coal mine equipment video surveillance will replace the manual control mode so as to achieve real-time automatic monitoring of abnormal conditions.In order to realize the vision of the belt conveyor,a method for monitoring the abnormal state of the belt conveyor is proposed.