Implementacion de un sistema IoT de bajo costo para el monitoreo de la calidad del aire en El Salvador

TL;DR

This paper presents a low-cost IoT-based air quality monitoring system in El Salvador, enabling remote data collection and visualization to address limited existing monitoring stations.

Contribution

The work introduces a novel low-cost IoT prototype for air quality monitoring and an integrated platform for data collection, storage, and visualization in El Salvador.

Findings

Successfully developed a remote particulate pollution monitoring station.

Enabled web-based access to air quality data from any device.

Established an IoT platform connecting hardware with cloud storage and visualization.

Abstract

Environmental pollution is a factor that represents a significant health risk. In El Salvador, The entity in charge of monitoring air quality is the ministry of Environment and Natural Resources, currently said ministry only has 3 stations for monitoring air quality throughout the territory of the country. The main objective of this work was the application of internet of things techniques in the design and implementation of a station of remote particulate pollution monitoring in the surrounding air. As well as setting up an Internet of Things (IoT) platform for the deployment of the data collected by the remote station. The development methodology of this research was based on the Model of Reference Architecture for IoT systems, which has as based on the development of system prototypes based on the correct choice of components available and suitable for the specific environment or application. For this case, they were used as inputs for the electronic hardware and Esp32 controller together with a Wemos-Lolin development board together with a sensor of particulate matter contamination PMS5003; by the side of software for the IoT platform was implemented a storage system, graphics and website based on low-cost tools The main result obtained in this work was an IoT prototype of an electronic station that allows monitoring the levels of contamination by the material of particles in the environment, whose data are accessible from any device with internet access through a site web, another result of this work is the configuring an IoT platform or cloud to connect wireless with the electronic station, the storage of the data produced by it and a web visualization stage.