The design of a photonics-based multi-gas sensor is presented. Absorption spectroscopy theory has been analyzed to derive key requirements for effective gas concentration measurements. HITRAN spectral analyses have determined appropriate ranges for single and multi-gas sensing. A discussion of two setups (large-scale setup and portable prototype) outlines relevant results for the development of innovative data processing algorithms (floating-point technique (FPT)). Eight absorption lines were experimentally detected (761 nm range), facilitating the recognition of oxygen spectra with surety. The FPT was used to measure oxygen concentration with an approx. 2.5% error when scanning one absorption line. Strategies to reduce the error to below 0.1% and to improve the prototype are presented.
The sensor is expected to operate in an inhomogeneous network. The network utilizes different sensors capable of cross-using information to achieve high reliability and accuracy, in order to predict, prevent, and recognize man-made and natural threats.
Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/31334 |
Date | 14 December 2011 |
Creators | Matharoo, Inderdeep |
Contributors | Goldenberg, Andrew A., Peshko, Igor |
Source Sets | University of Toronto |
Language | en_ca |
Detected Language | English |
Type | Thesis |
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