Source-selective noise monitoring (ReSoNo) pilot project in Birmingham city

Real-time Source-selective Noise monitoring and mapping (ReSoNo) is an innovative environmental noise control technology that has been researched and developed in an academic-industrial partnership between the Budapest University of Technology and Economics and ROB-Robotic Observer for almost a decade. The three theoretical pillars of the concept are the time-invariant noise propagation, the separable noise events and the parallel recognizable physical phenomena, which enable the identification of the dominant source of the noise events and the mapping of the noise impact around the monitoring point in real-time. After the theory has been published and patented a pilot project was organized in Birmingham to test it in urban space. The realization of the concept was based on an IoT sensor unit that registers noise level, records sound and transmits pre-processed data on a cloud server unattended in 24/7. The server separates noise events, identifies their source, calculates the source-selective noise levels and refreshes the noise map of the site in real-time. The three months long pilot project facilitated by Future Internet PPP, Mott MacDonald Limited and Birmingham City Council provided large amount of test data used to assess scientific justification, quality of performance and user experience.