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RFID를 이용한 지능형 교량 유지관리 시스템 개발에 관한 연구

A Study on Development of the Intelligent Bridge Maintenance System Using RFID

  • 조병완 (한양대학교 건설환경공학과) ;
  • 이윤성 (한양대학교 건설환경공학과) ;
  • 김헌 (한양대학교 건설환경공학과) ;
  • 이동윤 (한양대학교 건설환경공학과)
  • 투고 : 2012.11.14
  • 심사 : 2013.06.12
  • 발행 : 2013.09.30

초록

현재 국내의 교량 구조물에 대한 점검은 관리대장에 기록하여 컴퓨터로 전산화시키는 과정으로 이루어져 있다. 이는 수동-아날로그 형태로 자료의 신뢰성 저하, 비효율적 관리자료, 주관적인 평가로 인하여 교량 구조물에 대한 잠재적인 문제점이 발생하였다. 본 논문은 이러한 문제점을 해결하기 위하여 효율화, 관리화, 편리화를 목표로 점검자가 현장에서 교량 구조물의 정확한 유지관리를 통해 사회기반시설로서의 주목적인 안정성을 달성하도록 첨단 IT 기술인 RFID를 적용한 지능형 교량 유지관리 시스템을 제안하였다. 이 시스템은 현장에서 점검시간의 단축으로 효율적인 점검과 전산화된 DB를 이용하여 신뢰성 높은 자료의 관리 및 활용이 용이하고, 평가의 객관화로 교량 구조물의 정확한 판단이 가능하다. 또한 장소에 상관없이 효과적인 유지관리를 통한 업무수행을 확인하였다.

The inspections that are being done on current bridges in our country are made to go through a process of being recorded on the management system and then converted by the computer. This has deteriorated the credibility of manual-analog types of data, inefficient care of information, and produced potential problems of the structures of bridges through subjective evaluations. In order to solve these troubles, this research has aimed at effectiveness, management, and convenience so that the inspector at the actual scene of the bridge structures will be able to achieve the primary purpose of infrastructure safety through precise supervision. To assist this, this study has suggested a state of the art IT intellectual management system that has applied RFID. This system has been designed to decrease the inspecting time on the actual scene, which will provide more time for efficient inspection and by using the converted DB, managing and utilizing high quality data will come naturally and through the objective evaluation, it will be possible to make exact judgments of the structures of the bridge. Also, regardless of the location, it has been found that the work performance was excellent through highly effective management.

키워드

참고문헌

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피인용 문헌

  1. Development of Real Time Smart Structure Monitoring System for Bridge Safety Maintenance using Sensor Network vol.16, pp.2, 2016, https://doi.org/10.5392/JKCA.2016.16.02.221
  2. Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure vol.20, pp.4, 2016, https://doi.org/10.11112/jksmi.2016.20.4.001