Journal of Korean Association for Spatial Structures (한국공간구조학회논문집)

Korean Association for Spatial Structures (한국공간구조학회)
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Understanding Facility Management on Tunnel through Text Mining of Precision Safety Diagnosis Data

터널시설물 점검진단 데이터의 텍스트마이닝 분석을 통한 유형별·지역별 중점 유지관리요소의 이해

  • Seo, Jeong-eun (Korea Authority of Land & Infrastructure Safety) ;
  • Oh, Jintak (School of Architecture, Kyungil University)
  • Received : 2021.08.17
  • Accepted : 2021.08.27
  • Published : 2021.09.15
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Abstract

The purpose of this paper is to understand the key factors for efficient maintenance of rapidly aging facilities. Therefore, the safety inspection/diagnosis reports accumulated in the unstructured data were collected and preprocessed. Then, the analysis was performed using a text mining analysis method. The derived vulnerabilities of tunnel facilities can be used as elements of inspections that take into account the characteristics of individual facilities during regular inspections and daily inspections in the short term. In addition, if detailed specification information and other inspection results(safety, durability, and ease of use) are used for analysis, it provides a stepping stone for supporting preemptive maintenance decision-making in the long term.

Keywords

Acknowledgement

본 연구를 수행할 수 있도록 데이터를 제공해주신 국토교통부에 감사의 말씀을 드립니다.

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