Application of Participatory Sensing in Meteorological Information Service System

Abstract:

In order to make weather forecast data more precise and help users to make right decisions, a new method that applying participatory sensing in meteorological information service system is put forward in this paper. The participatory sensing architecture consists of four layers: sensing layer, data transmission layer, data processing layer and application layer. The key technologies involved in each layer are analyzed. Its explained how to fuse sensing data collected from sensors carried by users mobile phone with traditional meteorological data. The weather information service prototype system based on participatory sensing is realized. Through the example, its proved that this system is feasible and effective to improve the precision of weather forecast.

• Periodical: Applied Mechanics and Materials (Volumes 385-386)
• Pages: 1887-1890
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.385-386.1887
• Online since: August 2013
• Authors: Xiao Yan Sun, Jing Lin Du, Jie Zhou
• Keywords: Data Fusion, Meteorological Service, Participatory Sensing, Precision Improvement

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