Design of collecting and computing platform used for predictive maintenance of coal mine electromechanical equipment
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摘要: 常用的煤矿机电设备运维模式为井下采集数据、地面工控机或云平台进行数据分析,存在实时性和灵活性差、采集数据量受限、成本高等问题,而边缘计算机+数据采集卡的通用工业预测性维护解决方案因不易实现矿用本质安全型设计、现场布置灵活性差、成本过高等,不适用于煤矿机电设备运维场景。针对上述问题,设计了一种基于STM32F4主控芯片的煤矿机电设备预测性维护用采集计算平台。该平台可并行高速采集煤矿机电设备振动、温度、压力等数据并实时进行快速傅里叶变换、包络谱分析等处理,进而得出机电设备健康状态,通过人机交互模块本地显示监测与诊断结果,并可通过以太网将监测数据及诊断结果传输至地面工控机或云平台进行大规模数据分析。测试结果表明,该平台对振动信号的测量误差小于4%,且可准确判断机电设备不同部件的运行状况和故障,满足现场实时计算、就地分析、灵活布置的需求。Abstract: Existing operation maintenance mode of coal mine electromechanical equipment is collecting data in underground and analyzing data by ground controller or cloud platform, which has poor real-time performance and flexibility, limited data collection amount, high cost, etc.While predictive maintenance solution scheme in general industry of edge computer plus data collection card is not applicable for operation maintenance of coal mine electromechanical equipment because of difficulty of mine-used intrinsically safe design, poor flexibility of field arrangement, too high cost, etc. For the above problems, a collecting and computing platform used for predictive maintenance of coal mine electromechanical equipment was designed, which was based on main controlling chip of STM32F4. The platform can parallel collect vibration, temperature, pressure and other data of coal mine electromechanical equipment with high speed and take out fast Fourier transform and envelope spectrum analysis real-timely, so as to obtain health status of the electromechanical equipment. The monitored data and diagnosis results can be displayed through man-machine interaction module on the spot, and be transferred to underground controller or cloud platform through Ethernet for large-scale data analysis. The test results show that the platform has measuring errors of less than 4% for vibration signals, and can correctly judge running status and faults of different components in the electromechanical equipment, which meets requirements of real-time calculation, analysis on the spot and flexible arrangement in coal mine field.
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