Monitoreo en tiempo real del nivel de ruido en los alrededores de la Facultad Tecnológica de la Universidad Distrital para la construcción de mapas de contaminación acústica

Abstract

This project focused on real-time monitoring of noise levels around the technological faculty of the Universidad Distrital and the construction of noise pollution maps. Noise pollution maps are valuable tools for visualizing areas affected by elevated noise levels and for implementing mitigation strategies. First, noise measuring devices were designed and assembled, protected by 3D-printed casings, to record decibel measurements every second. These devices transmitted the data in real-time to a central database called ThingSpeak from Matlab, using IoT technologies. Subsequently, a web platform was developed to allow users to visualize the data in real-time and access the noise pollution maps. The installation points for the devices were strategically selected around the technological faculty of the Universidad Distrital Francisco José de Caldas, ensuring adequate coverage and efficient wireless communication. The devices were installed and georeferenced, with their proper functioning verified. The data collected through ThingSpeak formed the database, where algorithms were developed for analysis and for the construction of noise pollution maps using html code. These maps highlighted areas with the highest noise levels, allowing the identification of noise pollution hotspots and the proposal of efficient solutions. Finally, the feasibility of possible noise mitigation measures in the most affected areas was evaluated to improve the quality of life for residents in the analyzed zone.