基于随机共振的瓦斯检测系统研究

Research of Gas Detection System Based on Stochastic Resonance

  • 摘要: 针对煤矿井下被检测信号中所含有的瓦斯浓度信息较为微弱的问题,提出了一种基于随机共振的瓦斯检测系统的设计方案;分析了随机共振的原理,介绍了基于多层随机共振算法的瓦斯检测系统结构;并以双层随机共振模型为例,给出了该系统的仿真及数值分析。结果表明,该系统能够避免煤矿井下噪声的影响,获得较为准确的瓦斯浓度信息。

     

    Abstract: In view of the problem that gas concentration information in the detected signal of coal mine underground is weaker, the paper proposed a design scheme of gas detection system based on stochastic resonance. It analyzed principle of stochastic resonance, introduced structure of gas detection system based on multi-layer stochastic resonance algorithm, and gave simulation and numerical analysis by taking double-layer stochastic resonance model as example. The result showed that the system can be uninfluenced by underground noises and can get relatively accurate gas concentration information.

     

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