Abstract:
Noise pollution from construction activities affects both workers and nearby residents. This study
proposes a new method for localizing noise sources on construction sites. The method uses a radial microphone
array and an algorithm based on the highest signal direction intersections. Simulations show this approach can
identify noise source locations with relatively decent accuracy. The method localized noise sources within an area
of about 180 m² with an average uncertainty of 6 % for single-spot sources. The uncertainties for multiple-spot
sources, particularly two-spot sources, were 83.2 % and 6.1 %, depending on the size and number of sources.
These results highlight the method's accuracy and its sensitivity to site conditions. Our approach offers lower
computational needs compared to existing solutions. Future work will focus on the refinement of the algorithm
and integration of IoT technologies for real-time monitoring.
