Model and Experimental Characterization of the Dynamic Behavior of Low-Power Carbon Monoxide MOX Sensors Operated With Pulsed Temperature Profiles
Year: 2009
Authors: Bicelli S., Depari A., Faglia G., Flammini A., Fort A., Mugnaini M., Ponzoni A., Vignoli V., Rocchi S.
Autors Affiliation: Univ Brescia, Dept Elect Automat, I-25123 Brescia, Italy; Univ Brescia, Dept Chem & Phys, CNR, INFM,Sensor Lab, I-25123 Brescia, Italy; Univ Siena, Dept Informat Engn, I-53100 Siena, Italy.
Abstract: Wireless sensor networks for home automation or environment monitoring require low-cost low-power sensors. Carbon monoxide (CO) metal-oxide (MOX) sensors could be suitable in terms of device cost, but they show some severe limits, such as the need to be heated, which means large power consumption and the need for complex and frequent calibration procedures, which increases the overall cost. This paper investigates the possibility to partially overcome these limits by a low-cost detection system based on a suitable commercial sensor (TGS 2442, Figaro, Inc.) and an ad hoc measurement technique exploiting specifically tailored temperature profiles. To this aim, the authors study the dynamic behavior of low-power CO MOX sensors operated with pulsed temperature profiles by means of two approaches: 1) sensor modeling and 2) experimental evaluation. To analyze how the sensor dynamic response changes as a function of the CO concentration, the authors individuate a temperature profile, which ensures satisfactory sensitivity to the target gas and very low power consumption. Moreover, some parameters describing the sensor response shape are selected, which prove to be significant in terms of both robustness to environmental conditions and calibration simplicity.
Journal/Review: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume: 58 (5) Pages from: 1324 to: 1332
KeyWords: Carbon monoxide (CO) detection; gas sensors; low-power gas sensors; metal-oxide (MOX) sensors; sensor modelDOI: 10.1109/TIM.2009.2012940ImpactFactor: 1.025Citations: 53data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-24References taken from IsiWeb of Knowledge: (subscribers only)
