A13 IoT Based Noise Pollution Monitoring System
Noise pollution to a huge extent is neglected despite its short and long-term ramifications on human health. The various permissible noise limits in residential, commercial
and industrial areas should be strictly followed in accordance with the governing law and WHO
guidelines to reduce the effects of noise pollution on human health. Road traffic is one of the
main sources of noise pollution and the effect of increased automobile use in recent years
especially in various metropolitan cities has resulted in increased noise levels. The potential
health effects of noise pollution have led various communities to study the impact of this ‘silent
killer’ that isn't given enough importance when compared to the attention being given to other
environmental pollution.
The current methods in use collect static noise pollution data that have been installed at
a mere six locations by CPCB throughout the city of Hyderabad. This project describes a study
that aims at measuring the noise levels throughout the city with a view to generate noise maps
to identify the areas of high noise intensity or noise hot spots. We aim to propose a low-cost,
reliable, compact and dynamic, real-time IoT noise monitoring system with the integration of
GPS tracking to be used in vehicles traveling in the city.
The proposed system aims to acquire real-time noise levels in Hyderabad by using the
DFRobot SEN0232 Analog Sound Level Meter to measure sound levels in dBA scale and the
SIM808 GSM, GPRS Module to record the corresponding location at the time of measurement.
The ArcGIS Software can be used to plot the obtained data on maps as a visual representation
of noise levels in the city.