Acceso usuarios
Diana Yacchirema, Doménica Jimenez, Alex Aguacondo
A significant portion of the population spends most of their time in indoor environments engaged in leisure, work, or study activities, exposing them to high levels of air pollution due to inadequate ventilation. This article presents the development and implementation of an IoT prototype called Air-IoTSen, designed to monitor indoor air quality. The system consists of an IoT node, a wireless network, a broker, and a web application. The IoT node enables the monitoring of critical parameters such as CO2, PM2.5, temperature, and humidity, transmitting this information wirelessly to a broker installed on a Raspberry Pi, which normalises the data and calculates the air quality level. Additionally, a web application hosted on a cloud server has been integrated to facilitate real-time visualisation of air quality and issue alerts when contamination parameters exceed specified thresholds or when air quality harms the health and comfort of occupants. The server stores the data in the cloud, allowing for subsequent analysis of air quality. The prototype was successfully installed and tested in various indoor environments, demonstrating its viability as a monitoring tool.
