PROPUESTA DE UNA RED INALÁMBRICA PARA SUPERVISIÓN EN LÍNEA DE CONTAMINANTES DEL AIRE

Abstract:

Current paper addresses the prototype design of intelligent nodes to integrating into a wireless network for online monitoring of air pollutants (MyAIR). The goal is to provide measurements regarding the atmospheric pollutants from geographical areas wirelessly, this using Zigbee and Bluetooth technology in a mesh network. The information obtained is organized and stored on an IoT Ubidots platform for further analysis. It has a mobile application that allows us to view information on pollution in the area, as it alerts the population in six permissible ranges. Its structure consists of three modules: A data acquisition node (DAN) that collects Carbon Monoxide data (CO), Sulfur Dioxide (SO2), Ozone (O3), Nitrogen Dioxide (NO2), particulate matter PM10, PM2. 5 and PM1. Data Control Node (DCN) is responsible for addressing data to the cloud and a Display Node (DN) that shows the information graphically and dynamically. It was found that the sensors do not present significant errors, maintaining values lower than 0, 8%(CO), 5% of (O3), 14% of (NO2), and of+-10ug/at a given material establishing that no errors are incorporated into the design. By obtaining a correlation’s coefficient value lower than 15%, the stability of the prototype was demonstrated. Simulation tests showed that developed nodes can integrate networks of up to 120 connected nodes. It is concluded that the prototype complies with the established requirements to be a reliable network and scalable that generates supporting information in the socio-environmental field for the population and specialists.

Año de publicación:

2020

Keywords:

Fuente:

google