Abstract
A piezoelectric sensor array is introduced for the analysis of gas in mine. This sensor array is made of three different gas-sensitive piezoelectric sensors to detect an explosive gas mixture of methane, butane and hexane. The gas analysis is very important to reliable warning of explosion risk in mine. Because of cross sensing to gas for each sensor of sensor array, we use BP neural network in the artificial neural networks to process the sensing signal to get the concentration of methane, butane and hexane in the combustible gas mixture. Experimental results show that the analysis error is less than 5% and meets the requirements of safety monitoring.
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