基于自适应随机共振的瓦斯检测方法研究  

Study on Mine Gas Detection Method Combined SAW Gas Sensor with Stochastic Resonance

作　　者：付华[1] 舒丹丹[1] 王新鑫[1] 

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《压电与声光》2013年第4期467-472,477,共7页Piezoelectrics & Acoustooptics

基　　金：国家自然科学基金资助项目(51274118);辽宁省科技攻关基金资助项目(2011229011)

摘　　要：在煤矿井下较复杂的环境下,针对传统检测瓦斯气体的方法检测精度低,抗干扰能力差等问题,提出了一种将声表面波技术和随机共振技术结合的方法,运用到井下瓦斯气体浓度检测中。利用声表面波瓦斯气体传感器获取井下瓦斯信息,随后将检测到的信息送入随机共振装置,并通过改进的自适应随机共振算法最终实现对瓦斯气体的检测。仿真实验结果表明,该方法能获得较真实准确的瓦斯浓度信息,降低了井下噪声对瓦斯检测的影响,提高了系统的抗干扰能力。Under the complex and poor environment in coal mine,the conventional methods for detecting mine gas have the defects of low accuracy,poor anti-interference ability etc.A new method combined SAW gas sensor with the stochastic resonance has been proposed in this paper and this method can be used for detecting the mine gas.Surface acoustic wave gas sensor was used for mine gas information,and then the information was send into the stochastic resonance device,through the improved adaptive stochastic resonance algorithm the gas detection was carried out.The simulation results have shown that the proposed method can obtain more accurate information of the gas concentration than the conventional methods,the effect of noise on underground gas detection has been reduced and the anti-interference ability of the system has been improved.

关 键 词：传感器 声表面波 随机共振 自适应算法 瓦斯 抗干扰 

分 类 号：TD76[矿业工程—矿井通风与安全]