Silentium: sistema de monitoramento da poluição sonora urbana

Abstract

Urban noise pollution is an environmental problem associated with impacts on health, well-being, and quality of life. However, continuous noise monitoring is still limited in many cities, especially considering the need for spatial and temporal coverage. This paper presents Silentium, an Internet of Things-based system for monitoring urban noise pollution. The solution integrates an embedded device using an ESP32-S3 and an INMP441 digital microphone, MQTT communication, a Go server, TimescaleDB/PostgreSQL persistence, and Grafana dashboards. The functional validation demonstrated the feasibility of the collection, transmission, storage, and visualization flow for aggregated sound measurements. The results indicate that the system provides an experimental infrastructure for observing urban noise trends, although its measurements do not replace normative assessments performed with certified equipment.