We propose a novel method to reveal and measure natural gas presence in air, using commercial off-the-self available MOX gas sensors in wireless sensor network applications. This technique reduces the power consumed by the catalytic sensors of a factor 10x, by an analysis on a reduced sampled period and thus extending the autonomy of battery operated systems. The information about the gas concentration is extracted from the sensor transient response through a discrete cosine transform (DCT) analysis and permits to immediately discriminate between clean-air and hazardous situations. The characterization of the sensing device has been conducted using a wide range of humidity and environmental conditions to demonstrate the effectiveness of the approach and a detailed comparison with the standard usage has been performed. Finally, the technique has been implemented in a Wireless Sensor Network designed specifically to measure air-quality in a large area and to share information over the internet.

Brunelli, D., Rossi, M. (2014). CH4 Monitoring with Ultra-Low Power Wireless Sensor Network. Basel : Springer International Publishing [10.1007/978-3-319-04370-8_2].

CH4 Monitoring with Ultra-Low Power Wireless Sensor Network

Brunelli, Davide;
2014

Abstract

We propose a novel method to reveal and measure natural gas presence in air, using commercial off-the-self available MOX gas sensors in wireless sensor network applications. This technique reduces the power consumed by the catalytic sensors of a factor 10x, by an analysis on a reduced sampled period and thus extending the autonomy of battery operated systems. The information about the gas concentration is extracted from the sensor transient response through a discrete cosine transform (DCT) analysis and permits to immediately discriminate between clean-air and hazardous situations. The characterization of the sensing device has been conducted using a wide range of humidity and environmental conditions to demonstrate the effectiveness of the approach and a detailed comparison with the standard usage has been performed. Finally, the technique has been implemented in a Wireless Sensor Network designed specifically to measure air-quality in a large area and to share information over the internet.
2014
Lecture Notes in Electrical Engineering: Applications in Electronics Pervading Industry, Environment and Society
13
25
Brunelli, D., Rossi, M. (2014). CH4 Monitoring with Ultra-Low Power Wireless Sensor Network. Basel : Springer International Publishing [10.1007/978-3-319-04370-8_2].
Brunelli, Davide; Rossi, Maurizio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1043797
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