Diseño e implementación de un sistema embebido para reconocimientodiscriminación de olores y envio de datos hacia plataformas IoT

Abstract

The following project aims to develop a prototype of an embedded system that is capable of detecting, recognizing, and discriminating odors, as well as recording and analyzing the resulting data on an IoT platform. This system seeks to distinguish between different odorous compounds, thus offering discrimination capacity. The prototype has three sensors, two of which are gas sensors with different ppm detection ranges and the third sensor is a temperature and humidity sensor. The gas sensors have their own calibration for the proper detection of gases such as: NH3, H2S and CO2. Tests were conducted in three different scenarios in which the variation of the sensors could be clearly seen according to the conditions of the food after calculating the average for each scenario where tests were conducted; A fresh food showed values of 8.5 for NH3 4.5 and for H2S a value of 0.56. Under these conditions the food is still in good condition. Finally, it is concluded that the main objective for the recognition and discrimination of odors is met after conducting an analysis of the organoleptic characteristics of the meat and the appropriate selection of the sensors that are the most relevant part of this prototype of embedded system. and the variation of the values was verified according to the state of the meat.