中文摘要：

针对带式输送机的电机、托辊、滚筒这些关键部件缺乏有效的监测系统,托辊主要依靠人工目测,劳动量大,电机、滚筒采用传统的温度传感器,不便于安装,达不到相应的监测要求,存在实时性差、盲点多等问题,提出了基于红外热像的带式输送机关键部件监测与故障预警系统。该系统利用红外热像仪实时采集带式输送机的电机、托辊、滚筒的红外图像。利用红外图像处理及识别技术对采集的图像进行分割、特征提取和分类,实现对电机、托辊、滚筒的自动分类识别。根据部件温度和识别的部件类型,对带式输送机关键部件的故障等级做出判断,进行故障预警。实验结果表明,该系统能初步实现带式输送机自动故障预警。

英文摘要：

As the key mechanical components of belt conveyor lack effective monitoring means at present,a monitoring and warning system of the key parts in belt conveyor was proposed based on infrared thermography.Infrared images of the motor,rollers and other key transmission components in belt conveyor were collected in real-time with infrared imager.Using infrared image processing and pattern recognition technology,the collected images were segmented,extracted and classified,the automatic identification of the typical elements were realized,such as the motor,roller,etc.According to the identified component type and the component temperature,the fault level of key parts was judged,and the fault warning was achieved.Experimental results show that the method can achieve automatic identification and fault warning of belt conveyor.