期刊文献+

基于Zigbee的矿井通风机故障在线监测节点的设计 被引量:5

Design of Mine Ventilator Faults on-line Monitoring Node Based on Zigbee
下载PDF
导出
摘要 针对传统的矿井通风机故障监测传感器节点精度低、布线复杂、功耗大的缺点,设计了一种基于Zigbee的故障在线监测节点。节点以STM32W108为核心,采用压电式加速度传感器HK9101-J采集振动数据和铂热电阻Pt100采集温度数据,经信号调理电路后供片内ADC采集,利用IAR EWARM工具设计了Zigbee协议栈,实现数据无线传输。实验表明:该节点可在线监测矿井通风机振动信号,无线通信功能安全可靠。 In view of low accuracy, complicated wiring and great power consumption of the traditional mine ventilator faults monitoring sensor node, this paper designs a faults on-line monitoring node based on ZIGBEE. Node with STM32W108 as the core, adopts the piezoelectric acceleration sensor HK9101 - J to collect vibration data and Pt100 to gather temperature. After signal conditioning circuits, data is collected by on-chip ADC. It uses the IAR EWARM tools to design ZIGBEE protocol stack and realizes data wireless transmission. Experiments show that the node can be on-line monitor vibration signals for mine ventilator and the wireless communication function is safe and reliable.
出处 《仪表技术与传感器》 CSCD 北大核心 2014年第5期45-47,共3页 Instrument Technique and Sensor
基金 中央高校基本科研业务费资助项目(DX1205B)
关键词 通风机 故障监测 振动 ZIGBEE STM32W108 ventilator fault monitor vibration ZIGBEE STM32W108
  • 相关文献

参考文献12

二级参考文献39

共引文献254

同被引文献33

引证文献5

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部