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

실시간 철도안전 관제를 위한 데이터 처리 방안 연구

  • 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.)
  • Received : 2016.03.23
  • Accepted : 2016.07.14
  • Published : 2016.08.31

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.

실시간 철도안전 관제시스템은 철도시스템을 구성하는 열차, 신호, 전력 및 설비 등으로 분산되어 감시되던 시스템의 안전관련 데이터를 통합하여 안전감시 효율을 향상시키고 사고를 예방하는 것이 목적으로, 기존 개별 감시 시스템과 달리 데이터의 대용량 처리와 실시간 처리 성능을 동시에 요구하고 있다. 기존 관제시스템에서 주로 활용되는 디스크 기반 데이터베이스는 실시간 및 빅 데이터 처리기능이 없고, 최근 도입되는 메모리 기반 데이터베이스는 빅데이터 처리기능이 없으며, 시계열 데이터베이스는 실시간 처리 기능이 없다. 이에 따라, 실시간 안전관제에서 요구되는 빅 데이터 처리와 실시간 처리를 동시에 제공하는 새로운 솔루션이 필요하다. 본 연구에서는 기존 관제의 데이터 처리 사례를 분석하고, 빅 데이터 처리와 실시간 처리를 동시에 제공하는 새로운 데이터 처리 방안을 제안하였으며, 이를 검증하였다.

Keywords

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