Advanced Noise Monitoring: Data Presentation with the Cadence Platform
Michael Klein, Marco Aurélio Tegon Vidoti, Rodrigo Dal Fiume, Marília Pospisil Matiazzo, NICOLAS J E ISNARD · NOISE-CON proceedings · 2025
This article describes the possibilities for presenting continuous noise monitoring results using the Cadence platform. The platform employs advanced tools for data analysis and visualization, including the creation of AI-based alarms for identifying specific sound sources. To facilitate source identification, alarm audio recordings can be stored for validation or occurrence verification. Results can be displayed over predefined periods, enabling comparative analyses and trend identification in noise events of interest. Another feature is heatmaps, which provide a visual representation of noise level distribution over time, ranging from minutes to days or weeks. Additionally, the platform allows real-time monitoring of equipment status, ensuring system reliability. The Cadence platform's features demonstrate its potential as an effective tool for managing and presenting noise monitoring data and equipment, supporting decision-making and noise pollution control. Moreover, the measured data can be used in reports and technical assessments.