한국건축시공학회지 (Journal of the Korea Institute of Building Construction)

  • 제24권1호
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  • Pages.157-168
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  • 2024
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  • 1598-2033(pISSN)
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  • 2233-5706(eISSN)
한국건축시공학회 (The Korean Institute of Building Construction)
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비정형데이터를 활용한 건축현장 품질성과 평가 모델 개발

Crafting a Quality Performance Evaluation Model Leveraging Unstructured Data

  • Lee, Kiseok (Department of Construction Economic & Finance Research, Construction & Economy Research Institute of Korea) ;
  • Song, Taegeun (Department of Construction Economic & Finance Research, Construction & Economy Research Institute of Korea) ;
  • Yoo, Wi Sung (Department of Construction Economic & Finance Research, Construction & Economy Research Institute of Korea)
  • 투고 : 2023.12.28
  • 심사 : 2024.02.05
  • 발행 : 2024.02.20
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초록

최근 국내 건축현장에서 붕괴사고가 계속해서 발생하고 있어 시공 및 자재 품질 점검과 관리에 대한 공사감리의 중요성이 증가하고 있다. 현행 제도 및 기준에 의하면, 공사감리 업무는 주요 책임이 있는 감리자가 건축현장에서 진행되고 있는 시공 품질, 자재 품질, 재시공 이력 등이 상세하게 기술하여 공사감리보고서를 작성한다. 이러한 문서는 대표적인 비정형데이터로 건축현장에서 생성되고 있는 데이터의 80%의 비중을 차지하고 있으며, 건축현장의 품질정보가 상세하게 기록되어있다. 본 연구에 건축현장에서 발생하고 있는 공사감리보고서를 텍스트마이닝으로 전처리 후 감성사전을 구축하여 품질성과 수준을 평가하고 계량화할 수 있는 SL-QPA 모델을 제안하였다. 모델에서 산정된 성과 점수와 법적 기준에 의한 지표와의 피어슨 상관관계 분석하고, 상관계수에 대한 일원분산분석 결과는 통계적으로 유의미하였다. 제안된 SL-QPA 모델은 현행 건축현장 품질성과 진단에 상호 보완적으로 활용될 수 있고, 공사단계에서 연속적으로 생성되는 비정형데이터를 활용하여 점검 및 관리 활동의 적시성을 향상시킬 것으로 기대된다.

The frequent occurrence of structural failures at building construction sites in Korea has underscored the critical role of rigorous oversight in the inspection and management of construction projects. As mandated by prevailing regulations and standards, onsite supervision by designated supervisors encompasses thorough documentation of construction quality, material standards, and the history of any reconstructions, among other factors. These reports, predominantly consisting of unstructured data, constitute approximately 80% of the data amassed at construction sites and serve as a comprehensive repository of quality-related information. This research introduces the SL-QPA model, which employs text mining techniques to preprocess supervision reports and establish a sentiment dictionary, thereby enabling the quantification of quality performance. The study's findings, demonstrating a statistically significant Pearson correlation between the quality performance scores derived from the SL-QPA model and various legally defined indicators, were substantiated through a one-way analysis of variance of the correlation coefficients. The SL-QPA model, as developed in this study, offers a supplementary approach to evaluating the quality performance of building construction projects. It holds the promise of enhancing quality inspection and management practices by harnessing the wealth of unstructured data generated throughout the lifecycle of construction projects.

키워드

과제정보

This research was supported by a grant(RS-2022-00143493, project number:1615012983) from Digital-Based Building Construction and Safety Supervision Technology Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government.

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