noise monitoring

Urban and rail transport noise pollution is an increasing concern due to its negative impact on public health, including cardiovascular diseases, sleep disturbances, and cognitive impairments (WHO, 2018). Traditional noise monitoring systems, which rely on static measurements, lack real-time adaptability and struggle to accurately classify noise sources in dynamic environments.

This paper presents the analysis and development of a smart noise information collection system utilizing the Spectrum Analyzer SVAN 958A to enhance real-time noise monitoring and data analysis. The study addresses the limitations of traditional noise measurement tools, which often lack real-time processing and comprehensive integration with modern data management platforms.