【摘 要】
：
为了监测煤矿突水,在不同应力速率下,针对不同含水量煤岩破裂声发射频谱存在差异的特性,基于数量化理论,采用可编程逻辑器件FPGA和低功耗微处理器MSP430研究设计了一套监测实
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为了监测煤矿突水,在不同应力速率下,针对不同含水量煤岩破裂声发射频谱存在差异的特性,基于数量化理论,采用可编程逻辑器件FPGA和低功耗微处理器MSP430研究设计了一套监测实验系统,本系统可以实现对矿井突水进行实时在线监测的目的.为了解决煤岩破裂声发射信号中含有各种干扰噪声和信号处理方面存在的问题,根据煤岩破裂声发射信号的特点,利用小波包变换对声发射信号进行了分解、去噪和重构,结果表明处理后的声发射信号更为清晰地反映了煤岩在不同含水量和不同应力速率下破裂时的变化特征,研究方法通过模拟样本实验取得了较好的效果.
In order to monitor the water inrush of coal mine, according to the characteristics of different acoustic emission spectra of coal rock with different water contents at different stress rates, based on quantitative theory, a programmable logic device FPGA and low-power microprocessor MSP430 were used to study and design a This system can realize on-line monitoring of mine water inrush in real time.In order to solve the problems of coal mine rock burst acoustic emission signal containing various interference noises and signal processing, according to the rock burst acoustic emission signal The wavelet transform is used to decompose, de-noise and reconstruct the acoustic emission signals. The results show that the acoustic emission signals more clearly reflect the changing characteristics of coal rock under different water content and different stress rates The research method has achieved good results through simulated sample experiments.
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