Identification and Characterization of Chemicals Utilizing Electronic Nose Framework

Abstract

Electronic nose has gained wide acceptance in different industrial applications and with rapid advances in sensor technologies adopted for E-nose, there is more promising applications for E-nose. E-nose technologies is considering various advancements in areas of sensor design, improvement in materials, innovations in software, micro circuitry design to reduce foot print and system integration. In this work, a prototype electronic nose is developed for checking food quality. The system uses array of metal oxide semiconductor to sense the samples and the signals from the samples are analyzed using artificial neural network which is able to categorize the food sample. Through experiments, the proposed solution was found to have a categorization accuracy of 94.44%. The results are promising and demonstrate the reliability of electronic nose for food sample testing. There is an increasing use of unmanned aerial vehicles (UAVs) in many industrial verticals like environment, food industry, military etc. In this work, battery powered portable E-nose system is integrated with quad copter. Sensing method effectiveness while on fly is tested using the quad copter setup. From the experimental analysis, it was found that airflow of propellers did not have any significant impact on the E-nose results. The E-nose system is light weight and can be fixed to any carrier. An optimal monitoring algorithm is developed to verify the limits on flight autonomy and for gas leakage localization. The algorithm is simulated in matlab and performance is evaluated. newlineIn this dissertation, a gas sensor-array based electronic nose system was developed. The reliability of the system in detecting various explosive compounds was evaluated through various tests. The sensor was based on observation of dangerous compounds related from explosive material due to decomposition. The decomposition can be due to temperature and humidity.