Visualization of environmental noise : A sound map of Technobothnia Laboratory
Barnabishvili, Nina (2020)
Barnabishvili, Nina
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020112824877
https://urn.fi/URN:NBN:fi:amk-2020112824877
Tiivistelmä
Nowadays the problem of noise pollution occurs in megapolises and coworking areas. Exceeding the noise level of recommended 40 dB leads to faster cognitive decline, hearing loss, sleep disturbances, and other harmful and disturbing effects.
The main goal of the thesis was to develop an application, which helps with the noise data visualization for a better understanding of the problem and the possible ways of solutions. Providing this product in coworking areas, for instance, could decrease the harmful consequences.
The front-end side of the application was implemented with the React JavaScript framework. The back-end part was developed using the Raspberry Pi 3B with WebSocket module. The server was written on Python 3 and deployed with the front-end part to Heroku.
The application can be used in coworking areas where it can decrease the harmful consequences of noise. The system proved to be reliable during the testing process. Moreover, the application works correctly on mobile devices that provide easy access to the data even remotely.
The main goal of the thesis was to develop an application, which helps with the noise data visualization for a better understanding of the problem and the possible ways of solutions. Providing this product in coworking areas, for instance, could decrease the harmful consequences.
The front-end side of the application was implemented with the React JavaScript framework. The back-end part was developed using the Raspberry Pi 3B with WebSocket module. The server was written on Python 3 and deployed with the front-end part to Heroku.
The application can be used in coworking areas where it can decrease the harmful consequences of noise. The system proved to be reliable during the testing process. Moreover, the application works correctly on mobile devices that provide easy access to the data even remotely.
