基于随机共振的瓦斯检测系统研究

详细信息

Research of Gas Detection System Based on Stochastic Resonance

1.
School of Resources and Safety Engineering of CUMT.Beijing, Beijing 100083, China. 2.Faculty of Electrical and Control Engineering of Liaoning Technical University, Huludao 125105, China

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。
- 矿井 /
- 瓦斯检测 /
- 微弱信号 /
- 噪声 /
- 随机共振 /
- 信噪比
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.
- mine, gas detection, weak signal, noise, stochastic resonance, SNR