Internet of Things Based Data Acquisition Module Design for Air Quality in Public Transport Vehicles

OpenAlex English

In this study, an ARM-based data acquisition module is designed with the Internet of Things in public transportation vehicles for air quality analysis. The designed module communicates with the driver's computer in the vehicle. TEMPerHUM USB Thermometer Hygrometer Sensor is used to collect temperature and humidity data and a dust sensor is used as PM2.5 and PM10 sensors. The data obtained from these sensors are sent to the microprocessor with the RS-485 port. Microsoft Azure Hub is used to save all data from the microprocessor in real-time. Machine learning algorithms are used to evaluate regression models constituting the temperature, humidity, and PM data. Regression models are generated in the Python Language. Results of the R2 score and RMSE are found for the different regression models. The results are assessed and represented.