Design and implementation a real-time electronic nose system

A real-time electronic nose system is designed to analyze methane (CH₄), hydrogen (H₂) and their mixtures, the main combustible gases in the environment. The system is based on a single chip for acquiring measurement data from a gas sensor array. Four Fe₂O₃ gas sensors with little humidity effect are employed in the gas sensor array. A principal component regression (PCR) method is applied to process the electronic nose data. Software is developed in the LabVIEW environment for detecting the above combustible gases. Experimental results show that PCR has a good performance for predicting gas concentrations in a binary gas mixture. It proves that the designed electronic nose system can detect the combustible gases in real-time and quantify their concentrations accurately.