基于ARM和FPGA的高精度矿山微震监测系统

A Mine Microseism Monitoring System of High Precision Based on ARM and FPGA

针对基于DSP或单片机的微震监测系统的资源有限性,成本高、处理速度慢等问题,提出了一种基于FPGA和ARM的矿山微震监测系统。系统首先利用传感器采集煤矿井下地质运动的微震信号,并将其传送到主控芯片,对数据做出相关处理,然后再通过光纤传送至地面安全监控中心,对其进行分析显示。系统通过将采集的数据在送入缓存之前先进行数字滤波处理,以提高微震信号的精确度和抗干扰能力,采用基于FPGA的并行分布式算法的FIR滤波器,使处理速度和质量都优于传统数字滤波器。另外,基于异步的先进先出(FIFO)乒乓缓存操作可以实现数据的实时无缝传输。实验结果表明,系统可以精确地、实时地采集微震信号。

This paper proposed a mine microseism monitoring system with FPGA and ARM ,for the microseism monitoring sys- tems with DSP or microcontroller were of limited resources, high costs, slow processing speed and other issues. The control system collects microseism signals of coal mine geological movement through sensors, and sends signals to the master chip. It can do the relevant treatment for the signals, and then transfers the relevant data to the ground safety monitoring center by fiber based on FP- GA. Data will be collected into a digital filter before putting into cache to increase the accuracy and interference immunity of micro- seism signals. The FIR filter uses parallel and distributed algorithm based on FPGA, its processing speed and quality are better than the traditional digital filter. Simultaneously, ping-pong buffer operation of FIFO can achieve seamless transmission of data in real- time. Experimental and simulation results show that the system can correctly collect microseism signals in real-time.