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http://dx.doi.org/10.11108/kagis.2021.24.4.174

A Study on Real-time Environmental Noise Mapping based on AWS Cloud  

JOO, Yong-Jin (Dept. of Aerial Geoinformatics, Inha Technical College)
CHO, Jin-Su (Gros)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.24, no.4, 2021 , pp. 174-183 More about this Journal
Abstract
This study aims to suggest a method to provide a real-time noise map based on cloud using Amazon AWS. Acquiring environmental noise information, an Android app was developed to collect data on noise level, location, and measurement time of campus in Inha Technical College as a study area. Noise measurement information is transmitted to the AWS Cloud and managed, and the noise information collected through Amazon Quick Site is displayed in charts and maps. Finally, a web-based noise contour map and the results mapped to buildings were visualized with a Google map for users to search for the current environmental noise distribution. The real-time noise map presented as a result of this study is expected to be helpful for noise status and reduction policies.
Keywords
Cloud; AWS; Noise Map; Noise Prediction; Big Data;
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