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A Template Matching Method for Explosive Gas Identification
Preview AbstractThis paper addresses the problem of gas identification from an output of a gas sensor. Gas detectors are capable of detecting presence of certain types of gases but sensors that accept multiple analytes like MQ2 do not identify them. Identification of the analyte is very important to properly handle explosive gas. Template for each analyte is generated and used for template matching. A Gaussian type noise embedded in the input is also considered. Sample templates and percentage of accuracy in using template matching are shown. Gases used in the experiment include LPG, butane, propane, methane, alcohol, hydrogen and smoke. Smoke, which is not explosive, is also considered and classified as part of other gas detected.