Sistema de bajo costo para el monitoreo y recolección de datos de la polución del aire.

Abstract

PM2.5 particulate matter is widely related to mortality and morbidity as detailed in various publications of epidemiological studies. This degree document conducts the development of a low-cost system for the monitoring and data collection of air pollution in the urban area in the downtown of the Yaguachi, Guayas. Furthermore, a small visualization of the data collected during a week is presented with random geographical points at predefined hours. The data were obtained through the Nova PM SDS011 and DHT22 sensors. The equipment worked for a week collecting data on a bicycle at different random points in the delimited area, recording them every 5 seconds. The results of the data visualization showed that the concentrations of fine particulate matter were high as the concentration of motor vehicles increased, as well as when there were no trees or unpaved streets were registered.