지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.5
- 수록면
- 183 - 190 (8page)
이용수
초록· 키워드
오류제보하기
Accurate analysis and prediction of Quantity Takeoff (QTO) is crucial for construction project success, enabling efficient resource management, cost and time savings, quality improvement, and project continuity. However, current QTO methods rely on manual labor, posing challenges in productivity and accuracy due to the dependence on workers’ experience and skills. This study utilizes an open-source machine learning-based data analysis tool to analyze major QTO components such as reinforcement, concrete, and formwork in a previously executed apartment project. By integrating fundamental project information applicable in the early stages, a predictive model capable of estimating major quantities based on various situational variable combinations was proposed and its reliability was validated.
목차
Abstract
1. 서론
2. 기존연구 고찰
3. 데이터베이스 구성
4. 오픈소스 머신러닝 시스템 구성
5. 철근콘크리트 아파트 물량 예측 모델
6. 결론
REFERENCES
참고문헌 (9)
참고문헌 신청
ChangSoft I&I. BuilderHub, https://builderhub.io/, accessed 2024.03.19.
Cho, S. H., & Lee, J. S. (2016). Comparison of Reinforcement on the Bearing Wall Type Apartment according to the use High-strength Reinforcing Bars, Journal of the Regional Association of Architectural Institute of Korea, 18(5), 125~132.
Jo, Y. H., Choi, H. J., Kim, J. W., & Yun, S. H. (2020). Conceptual Cost Estimate Method of Public Office Building Structural Frame Work by Regression Analysis, Journal of Korea Institute of Building Construction, 20(2), 147~153.
Kim, B. Y., & Son, K. Y. (2013). A Quantity Prediction Model of Reinforced Concrete in Educational Facilities Using Regression Analysis, Preceding of Korea Institute of Construction Engineering and Management, 279~280.
Kim, S. H., Kim, S. K., Suh, S. W., & Kim, S. C. (2023). Development of an Algorithm for Automatic Quantity Take-off of Slab Rebar, Journal of Korea Institute of Construction Engineering and Management, 24(5), 52~62.
Cho, S. H., & Lee, J. S. (2016). Comparison of Reinforcement on the Bearing Wall Type Apartment according to the use High-strength Reinforcing Bars, Journal of the Regional Association of Architectural Institute of Korea, 18(5), 125~132.
Jo, Y. H., Choi, H. J., Kim, J. W., & Yun, S. H. (2020). Conceptual Cost Estimate Method of Public Office Building Structural Frame Work by Regression Analysis, Journal of Korea Institute of Building Construction, 20(2), 147~153.
Kim, B. Y., & Son, K. Y. (2013). A Quantity Prediction Model of Reinforced Concrete in Educational Facilities Using Regression Analysis, Preceding of Korea Institute of Construction Engineering and Management, 279~280.
Kim, S. H., Kim, S. K., Suh, S. W., & Kim, S. C. (2023). Development of an Algorithm for Automatic Quantity Take-off of Slab Rebar, Journal of Korea Institute of Construction Engineering and Management, 24(5), 52~62.
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