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Sensors 2012, 12(9), 12729-12740; doi:10.3390/s120912729

A One ppm NDIR Methane Gas Sensor with Single Frequency Filter Denoising Algorithm

1,2,* , 3
1 College of Physics and Optoelectronics, Taiyuan University of Technology, Shanxi 030024, China 2 Key Laboratory of Advanced Transducers and Intelligent Control System (Taiyuan University of Technology), Ministry of Education, Shanxi 030024, China 3 RAE Systems (Shanghai) Inc., No. 990 East Hui Wang Road, JiaDing District, Shanghai 201815, China
* Author to whom correspondence should be addressed.
Received: 16 July 2012 / Revised: 10 September 2012 / Accepted: 11 September 2012 / Published: 18 September 2012
(This article belongs to the Section Chemical Sensors)
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A non-dispersive infrared (NDIR) methane gas sensor prototype has achieved a minimum detection limit of 1 parts per million by volume (ppm). The central idea of the design of the sensor is to decrease the detection limit by increasing the signal to noise ratio (SNR) of the system. In order to decrease the noise level, a single frequency filter algorithm based on fast Fourier transform (FFT) is adopted for signal processing. Through simulation and experiment, it is found that the full width at half maximum (FWHM) of the filter narrows with the extension of sampling period and the increase of lamp modulation frequency, and at some optimum sampling period and modulation frequency, the filtered signal maintains a noise to signal ratio of below 1/10,000. The sensor prototype provides the key techniques for a hand-held methane detector that has a low cost and a high resolution. Such a detector may facilitate the detection of leakage of city natural gas pipelines buried underground, the monitoring of landfill gas, the monitoring of air quality and so on.
Keywords: methane; NDIR; FFT; gas sensor methane; NDIR; FFT; gas sensor
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Zhu, Z.; Xu, Y.; Jiang, B. A One ppm NDIR Methane Gas Sensor with Single Frequency Filter Denoising Algorithm. Sensors 2012, 12, 12729-12740.

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