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Railroad Accident Prevention and Parts Management System based on WEB

WEB 기반 철도 사고 예방 및 부품 관리 시스템

  • 홍유식 (상지대학교 정보통신 SW공학과) ;
  • 한창평 (상지대학교 스마트 자동차 공학과)
  • Received : 2024.08.29
  • Accepted : 2024.10.04
  • Published : 2024.10.31

Abstract

Train derailment accidents have been increasing over the past five years. The causes of these railroad derailments were found to be mainly defective track switches that change train tracks, use of old parts, and poor maintenance issues. In this paper, to solve these problems, an intelligent sensor-based automatic railway risk prediction algorithm and hypothesis were established and computer simulation experiments were performed. In particular, research on RFID technology and IoT sensor technology was conducted on a WEB basis. In addition, in this paper, in order to prevent country of origin counterfeiting accidents, a blockchain-based computer simulation to prevent forgery of railway parts was performed using open source.

최근 5년간 기차 탈선 사고가 증가하고 있다. 이러한 철도 탈선 탈선 사고 원인은, 주로 열차 선로를 바꿔주는 선로전환기 불량, 오래된 부품 사용, 정비 불량 문제 등으로 판명되었다. 본 논문에서는 이러한 문제점을 해결하기 위해서, 지능형 센서 기반 철도 위험 자동 예측 알고리즘 및 가설을 수립하고 컴퓨터 모의실험을 수행하였다. 특히, RFID 기술 및 사물인터넷 센서 기술 기반 연구를 WEB 기반에서 수행 하였다. 뿐만 아니라, 본 논문에서는 원산지 위조 방지사고를 예방 하기 위해서, 오픈소스를 이용해서, 블록체인 기반 철도 부품 위조 방지 컴퓨터 모의실험을 수행하였다.

Keywords

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