MONITORING AND CORRELATING TOXIC GASES EMITTED BY CARS IN PUBLIC INDOOR GARAGE IN REAL-TIME USING INTERNET OF THINGS (IOT)
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The study was developed to adequately depict the behavior of indoor pollutant matter in public garages, the underlying factors influencing this behavior and gauge the pollutant exhaust emission patterns. In depicting the behavior of indoor pollutant matter, the research aimed at studying the emission-pollutant relationship and any variations in concentrations found at different locations within the study site. In terms of measuring the factors influencing the pollutant behavior, the research quantified the concentrations of four gaseous contaminants. The pollutant behavior was studied to better understand the different variables influencing the indoor air-quality. Finally, based on these parameters overall patterns in exhaust emissions were deduced. With the aforementioned factors in background, an experiment was designed to collect, process and analyze significant amounts of data points within the experimental site. The indoor air-quality in the experimental site was measured using an Alphasense™ Unit comprising of four sensors as depicted in the methodology section. The four sensors measured the levels of Carbon Monoxide, Nitrogen Dioxide, Ozone and Sulphur Dioxide. These are electrochemical sensors functioning in an amperometric mode. Thus, based on the volume of the gas present, the sensors report a linearly proportional current. As can be seen from the figure, the sensors primarily consist of electrodes, wetting filters and an electrolyte reservoir.