矿用带式输送机智能监测系统研究

针对矿用带式输送机运行过程中存在的托辊、滚筒等关键部件与输送带摩擦发热,钢丝绳芯输送带内部损伤与撕裂,运行功耗大等问题,设计了一种矿用带式输送机智能监测系统。该系统包括基于弱磁检测法的钢丝绳芯输送带损伤监测系统、基于红外热成像温度检测法的带式输送机关键部件故障诊断与预警系统和基于视觉检测法的煤流监测、异物监测、胶带撕裂监测及人员安全监测系统,详细介绍了各系统的实现原理。对钢丝绳芯输送带内部损伤识别及带式输送机关键部件故障诊断预警进行了实验验证,结果表明该系统对钢丝绳芯输送带损伤识别的准确率约为98%,且可准确识别带式输送机关键部件故障并发出预警。

Research on intelligent monitoring system of mine-used belt conveyor

In view of the friction and heating between conveyor belt and key components such as idlers and rollers,the internal damage and tear of steel conveyor belt,and high running power consumption in operation process of mine-used belt conveyor,an intelligent monitoring system of mine-used belt conveyor was designed.The system includes damage monitoring system of steel conveyor belt based on weak magnetic detection method,fault diagnosis and early warning system of key components of belt conveyor based on infrared thermal imaging temperature detection method,and coal flow monitoring,foreign matter monitoring,belt tear monitoring and personnel safety monitoring system based on visual detection method,and implementation principle of each system is introduced in detail.The internal damage identification of steel conveyor belt and fault diagnosis and early warning of key components of belt conveyor are verified by experiments.The results show that the system can accurately identify damage of steel conveyor belt with an accuracy of about 98%,and can accurately identify faults of key components of belt conveyor and give early warning.