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http://dx.doi.org/10.9712/KASS.2021.21.3.85

Understanding Facility Management on Tunnel through Text Mining of Precision Safety Diagnosis Data  

Seo, Jeong-eun (Korea Authority of Land & Infrastructure Safety)
Oh, Jintak (School of Architecture, Kyungil University)
Publication Information
Journal of Korean Association for Spatial Structures / v.21, no.3, 2021 , pp. 85-92 More about this Journal
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
Text mining; Tunnel; Road Tunnel; Rail Tunnel; Management;
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Times Cited By KSCI : 1  (Citation Analysis)
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