基于红外热成像技术的托辊故障诊断系统研究

Research on Idler Fault Diagnosis System based on Infrared Thermal Imaging Technology

针对带式输送机托辊故障诊断方法存在准确率低、易受环境影响、监测成本高等问题,提出了一种基于红外热成像技术的托辊故障诊断方法。将红外热成像仪搭载到轨道式巡检机器人上,就能对带式输送机托辊组温度进行实时监测。在MATLAB中对采集到的红外图像进行维纳滤波、灰度处理、中值滤波、边缘提取等图像处理操作;在LabVIEW中设计人机交互界面,以实时显示故障托辊的原始红外图像、边缘图像、最高温度、故障位置等一系列信息。联合仿真结果表明:该方法能够及时地发现故障托辊,并准确地报告位置,提高了煤矿的智能化程度。

Aiming at the problems of low accuracy,easy to be affected by environment and high monitoring cost,a fault diagnosis method of conveyor idlers based on the infrared thermal imaging technology is proposed in this paper.The infrared thermal imager is mounted on the orbital inspection robot to carry out real-time monitoring of the temperature of belt conveyor idlers.In MATLAB,image processing operations such as the Wiener filtering,grayscale processing,median filtering,edge extraction,etc.are carried out for the collected infrared images.The human-computer interaction interface is designed in LabVIEW,which can display a series of information such as original infrared image,edge image,the maximum temperature and fault location of the faulty idler in real time.The co-simulation results show that the method can find the fault roller in time and report the location accurately,which improves the intellectualization degree of coal mine.