摘要
采用普通发光二极管LED产生的宽带光源,通过光纤Bragg光栅和压电陶瓷对其进行波长调制,获得窄带出射光,并采用神经网络对压电陶瓷两端的电压进行控制,从而实现瓦斯气体浓度的高灵敏度测量。利用虚拟仪器技术,将采集的信号进行解调及加工处理和计算,简化了设计。得到的瓦斯浓度能够在图形界面上显示,并进行保存,以便用于瓦斯突出、瓦数预测等其他后续工作。
This paper adopted wide band light source form ordinary light emitting diode to get narrow band light source through wave- length modulation by Bragg grating and piezoelectric ceramic. To increase the sensitivity of the optical fiber gas sensor, neural network method was used to adjust the voltage of the piezoelectric ceramic. A data acquisition and analysis system based on the virtual instrument technique was designed. With the powerful digital processing ability of the computer, the signal will be analyzed and displayed in user- friendly interface, and the saved history data can also be used in other related work.
出处
《仪表技术与传感器》
CSCD
北大核心
2007年第9期39-40,共2页
Instrument Technique and Sensor
关键词
瓦斯检测
光纤
虚拟仪器
gas inspect
fiber
virtual instrument
