选煤厂机电设备远程运维在线监控与故障诊断技术研究

Research on Remote Operation and Maintenance Online Monitoring and Fault Diagnosis Technology for Mechanical and Electrical Equipment in Coal Preparation Plant

针对煤矿选煤厂设备传统运维方式存在巡检效率较低、巡检强度大、设备维护困难以及潜在故障诊断效果较差等问题,探讨选煤厂设备智能化运维关键技术,分析选煤厂机电设备常见故障类型和异常特征,提出了一种选煤厂设备远程运维在线监控系统。采用多种传感器实时采集设备的运行参数和状态信息,由选煤厂利用以太环网实现对现场参数的实时回传与上位机显示。介绍了故障智能诊断关键技术,搭建了故障智能诊断算法流程。结果表明,在煤矿选煤厂现场应用选煤厂机电设备远程运维在线监控系统,可准确采集现场设备的运行参数,并以可视化的形式体现设备状态,一旦设备物理信号超过设定阈值会自动报警,整个系统可代替7~8人完成设备的日常运维工作,大大降低了工人劳动强度,减少了企业劳动力成本,取得了满意的应用效果。

In response to the problems of low inspection efficiency,high inspection intensity,difficult equipment maintenance,and poor potential fault diagnosis effect in the traditional operation and maintenance of coal mine preparation plant equipment,this paper explores the key technologies of intelligent operation and maintenance of coal preparation plant equipment,analyzes the common types and abnormal characteristics of mechanical and electrical equipment in coal preparation plants,and proposes a remote operation and maintenance online monitoring system for coal preparation plant equipment.Multiple sensors are used to collect real-time operating parameters and status information of the equipment,and the coal preparation plant uses Ethernet ring network to achieve real-time feedback of on-site parameters and display on the upper computer.Introduced the key technologies of intelligent fault diagnosis and established the process of intelligent fault diagnosis algorithm.The results show that the application of the remote operation and maintenance online monitoring system for the mechanical and electrical equipment in the coal mine preparation plant can accurately collect the operating parameters of the on-site equipment,and visually reflect the status of the equipment.When the physical signal of the equipment exceeds the set threshold,it will automatically alarm.The entire system can replace 7~8 people to complete the daily operation and maintenance work of the equipment,greatly reducing the labor intensity of workers,reducing labor costs for enterprises,and achieving satisfactory application results.