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http://dx.doi.org/10.7782/JKSR.2016.19.4.445

Data Processing Method for Real-time Safety Supervision System in Railway  

Shin, Kwang-Ho (Railway Technical Research Center, DAEATI Co., Ltd.)
Jung, Hye-Ran (Railway Technical Research Center, DAEATI Co., Ltd.)
Ahn, Jin (Railway Technical Research Center, DAEATI Co., Ltd.)
Publication Information
Journal of the Korean Society for Railway / v.19, no.4, 2016 , pp. 445-455 More about this Journal
Abstract
A goal of the Real-time railway safety supervision system is to improve the safety oversight efficiency and to prevent accidents by integrating existing distributed monitoring systems, train, signal, power and facilities. So, the system require better performance regarding real-time processing based on big data. The disk-based database that is used in existing railway control systems has a problem with real-time processing; memory-based databases haves a limitation in terms of big-data processing; and time series databases haves a limitation in terms of real-time processing. So, we need a new database architecture for simultaneous real-time processing based on big data. In this study, we review the existing railway monitoring systems and propose a new database architecture for a real-time railway safety supervision system.
Keywords
Railway safety supervision; Real time; Big data; Database;
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