基于图像处理技术的转辙机智能检测研究

Research on intelligent detection of switch machine based on image processing technology

近年来,随着城市规模不断扩大和城市轨道交通的迅速发展,轨道交通已成为人们日常出行的主要交通工具之一,随之而来的是工程技术人员对轨道交通设备的繁重的检修工作。如何利用人工智能技术代替人力进行轨道交通设备的监测工作成为人们关注的重点。本文针对轨道交通设备中的转辙机设备的智能化故障监测进行研究,利用图像处理技术,合理运用图像分割、边缘检测和形态学运算等算法,对转辙机设备中杆缺口的相对变化量进行检测,实现杆缺口的精准有效监测,并及时提供智能告警,从而提高设备的智能化应用水平,确保轨道交通设备的安全运行。

In recent years,with the continuous expansion of the city scale,urban rail transit has developed rapidly and has become one of the main travel modes for people everyday.It is accompanied by the onerous overhaul work of the rail transit equipment,and how to use artificial intelligence technology to replace the manual inspection work has become the focus of attention.In this paper,the intelligent monitoring of the switch machine equipment in rail transit equipment has been focused,and the image processing technologies such as image segmentation,edge detection and morphology calculation have been introduced to detect the relative gap of the rod gap in the switch machine which can realize the accurate and effective monitoring of the rod gap.Furthermore,the intelligent alarm starts up timely,thereby improving the intelligence of the equipment and ensuring the safe operation of the rail transit equipment.