IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
This provides a tool for researchers to study sound pollution in urban areas, but it is incremental as it applies existing IoT and web technologies to a specific domain.
The paper tackles urban sound pollution by developing a real-time noise mapping system using IoT devices and a webapp, resulting in a functional prototype that visualizes sound intensity data on Google Maps.
This paper describes the development of a system that enables real time data visualization via a webapp regarding sound intensity using multiple node devices connected through internet. The prototypes were realized using ATmega328 (Arduino Nano) and ESP8266 hardware modules, NodeMCU Arduino wrapper library, Google maps and firebase API along with JavaScript webapp. System architecture is such that multiple node devices will be installed in different locations of the target area. On each node device, an Arduino Nano interfaced with a Sound Sensor measures the ambient sound intensity and ESP8266 Wi-Fi module transmits the data to a database via web API. On the webapp, it plots all the real-time data from the devices over Google maps according to the locations of the node devices. The logged data that is collected can then be used to carry out researches regarding sound pollution in targeted areas.