摘要
PVC、PVG整芯阻燃输送带的机械带扣是非常薄弱的环节,在使用过程中容易引发脱扣、断扣故障,造成断带。在故障诊断技术的基础上,开发了基于机器视觉的带式输送机机械带扣视觉故障诊断平台,实现了机械带扣的故障诊断。该平台包括视觉采集、PLC控制、通信、图像处理和故障诊断等模块。通过试验验证,该平台能够准确地发现输送带在运行过程中的带扣故障,极大提高了带式输送机运行的安全可靠性。
The mechanical belt buckle of PVC and PVG solid core flame-retardant conveyor belts is a weak link that is prone to buckle detachment and breakage during use,leading to belt breakage.On the basis of fault diagnosis technology,a visual fault diagnosis platform for belt conveyor mechanical belt buckle based on machine vision has been developed to enable the fault diagnosis of mechanical belt buckle.This platform consists of a visual acquisition,PLC control,communication,image processing,fault diagnosis and other modules.Through experimental verification,this platform can accurately detect belt buckle faults during operation,greatly enhancing the safety and reliability of belt conveyor.
作者
刘文峰
张森
宋庆军
Liu Wenfeng;Zhang Sen;Song Qingjun(Inner Mongolia Huangtaolegai Coal Co.,Ltd.,Ordos 017399,China;Taishan Academy of Science and Technology(Innovation and Development Research Institute of Taian City),Tai’an 271000,China;College of Intelligent Equipment,Shandong University of Science and Technology,Tai’an 271000,China)
出处
《煤矿机械》
2024年第8期179-183,共5页
Coal Mine Machinery
基金
国家自然基金面上项目(52174145)
山东省重大研发计划项目(2023RKY02006)。
关键词
机械带扣
机器视觉
图像处理
故障诊断
mechanical belt buckle
machine vision
image processing
fault diagnosis
