Noise exposure level detection using the internet of things (IOT) concept
Date Issued
2020-12
Author(s)
Maja Anachkova, Simona Domazetovska, Petreski Zlatko, Viktor Gavriloski
Abstract
The intense globalization, the steady growth in population
and the changes in infrastructure in the last decade have
caused multiple negative environmental changes in the
large cities. One of the most worrying problems that occurs
in overpopulated and frequent urban cities is the problem
of increased noise levels which can seriously affect human
health. This work presents an environmentally sustainable
solution based on an Internet of Things (IoT) platform in
the city of Skopje, the capital of North Macedonia for the
purpose of 24-hour monitoring of the level of noise in
several measuring stations in the city. The final goal of this
platform is to serve as a monitoring portal and a credible
source for an early warning system of increased noise
levels in the city. This paper also focuses on explaining a
low-cost sensor design for converting the Units obtained
from the monitoring network, into Decibels, as well as the
functionality of the sensor network, providing information
about the noise exposure situation in the city. In order to
predict and perform active measures about the future noise
pollution across the city, analysis for the noise levels in
2018 was described and thereafter, conclusions about the
most exposed location, month and period of the day are
brought. This leads to a better understanding of the
dynamics of changes in the noise levels in the city which
hasn’t been conducted previously, but at the same time is
crucial for further preventing the evident noise pollution
enhancement.
and the changes in infrastructure in the last decade have
caused multiple negative environmental changes in the
large cities. One of the most worrying problems that occurs
in overpopulated and frequent urban cities is the problem
of increased noise levels which can seriously affect human
health. This work presents an environmentally sustainable
solution based on an Internet of Things (IoT) platform in
the city of Skopje, the capital of North Macedonia for the
purpose of 24-hour monitoring of the level of noise in
several measuring stations in the city. The final goal of this
platform is to serve as a monitoring portal and a credible
source for an early warning system of increased noise
levels in the city. This paper also focuses on explaining a
low-cost sensor design for converting the Units obtained
from the monitoring network, into Decibels, as well as the
functionality of the sensor network, providing information
about the noise exposure situation in the city. In order to
predict and perform active measures about the future noise
pollution across the city, analysis for the noise levels in
2018 was described and thereafter, conclusions about the
most exposed location, month and period of the day are
brought. This leads to a better understanding of the
dynamics of changes in the noise levels in the city which
hasn’t been conducted previously, but at the same time is
crucial for further preventing the evident noise pollution
enhancement.
Subjects