Design of Disaster Collection and Analysis System Using Crowd Sensing and Beacon Based on Hadoop Framework

摘要

Currently, disaster data is collected by using site-based, limited regional collection. In this study, a system that collects location information of users that have a mobile device is proposed. The proposed system collects realtime disaster data by using crowd sensing, a user-involved sensing technology. In order to quickly and accurately determine a large amount of unstructured data, among big data frameworks, the Hadoop framework is applied as it efficiently sorts a large amount of data. Also, to enable fast local evacuation alert for users, a beacon-based ad-hoc routing interface was designed As an integrated interface of the proposed systems, a hybrid app based on HTML5, which uses JSON syntax.