DOI QR코드

DOI QR Code

Schematic Estimate Framework of Finishing Works based on IFC-BIM Knowledge

IFC-BIM 연계 지식정보기반 마감공사 개산견적 프레임워크

  • Park, Sang-Hun (Department of Architectural Engineering, University of Seoul) ;
  • Park, Hyung-Jin (Department of Architectural Engineering, University of Seoul) ;
  • Koo, Kyo-Jin (Department of Architectural Engineering, University of Seoul)
  • 박상헌 (서울시립대학교 건축공학과) ;
  • 박형진 (서울시립대학교 건축공학과) ;
  • 구교진 (서울시립대학교 건축공학과)
  • Received : 2015.05.13
  • Accepted : 2015.06.11
  • Published : 2015.06.30

Abstract

Cost Estimate for alternative in design phase of construction become criterion for profitability and feasibility analysis of projects. Initial design phase performed schematic estimate based on similar data in the past. The quantity take-off according to estimators experience and calculation method are occurred different or missing. IT (Information Technology) technology evolution has been promoting BIM technology in construction. It is changing the paradigm of planning, design, construction and maintenance phase throughout the construction project. A number of studies have been attempted to apply BIM technology in the construction. In this paper, we propose schematic estimation framework linking standard format IFC (Industry Foundation Classes) and estimate related knowledge. As a result, it performs a cost prediction for decision-making in the design phase, and expected to overcome the limitations of previous studies. In addition, it is possible actively coping with changes.

건설사업 전 생애주기 중 설계단계에서의 대안별 비용 예측은 사업의 수익성 및 타당성 분석을 위한 판단기준이 된다. 설계도서가 완성되지 않은 초기 설계단계에서 과거의 유사자료를 바탕으로 개산견적이 실시되고 있다. 견적자의 경험과 산정방법에 따라 물량이 상이하고 누락되는 경우가 발생한다. 최근 IT기술 발전으로 BIM 기술이 주목을 받으면서 건설 전반에 걸쳐 기획, 설계, 시공, 유지관리 기술의 패러다임을 변화 시키고 있다. BIM을 활용한 다양한 연구가 시도되고 있지만, 활용 효과는 건설 사업의 기대에 미치지 못하고 있다. 본 연구에서는 국제 표준 IFC와 견적 관련 지식정보를 연계한 개산견적 프레임워크를 제안한다. 그 결과, 초기 설계단계에서 의사결정을 위한 공사비 예측을 수행하며, 그리고 선행연구의 한계점을 일부분 극복이 가능할 것으로 기대된다. 또한, 개산견적 프레임워크는 프로세스 일부를 자동화하였기 때문에 변경에 대한 능동적인 대처가 가능하다.

Keywords

References

  1. I. H. Kim, "An IFC-Based Data Model for Structural Design Phases of Buildings", PH. D. Thesis, Seoul National University, 2004.
  2. J. Y. Chun, "A Study on the Construction of Computerized Algorithm for Proper Construction Cost Estimation Method by Historical Data Analysis", Korean journal of construction engineering and management, Vol. 4, No. 4, pp. 192-200, 2003.
  3. S. H. Hong, I. S. Choi, "A Study on the Cost Prediction Model of Office Building", Journal of the Architectural Institute of Korea, Vol. 17, No. 2, pp. 129-140, 2001.
  4. Y. I. Jeon, C. S. Hwang and T. K. Park, "Construction cost Prediction Model for Educational Building", Proceedings of KICEM Annual Conference, pp.290-295, 2004.
  5. C. H. Park, S. H. Chang and K. H. Kim, "A Probabilistic Cost Planning Model during the Design Decision-Making Process-Focused on High-Rise Office Building", Journal of the Architectural Institute of Korea, Vol. 19, No. 11, pp. 181-189, 2003.
  6. W. Y. Park, J. H. Cha and K. I. Kang, "A Neural Network Cost Model for Apartment Housing Projects", Journal of the Architectural Institute of Korea, Vol. 18, No. 7, pp. 155-162, 2002.
  7. G. H. Kim, K. I. Kang, "A Study on Predicting Construction Cost of Apartment Housing Projects Based on Case Based Reasoning Technique at the Early Project Stage", Journal of the Architectural Institute of Korea, Vol. 20, No. 5, pp. 83-92, 2004.
  8. S. W. Oh, B. J. Sung, Y. S. Kim and J. R. Kim, "Development of an Automated Cost Estimating System using 3D CAD Building Element Information", Journal of the Architectural Institute of Korea, Vol. 17, No. 6, pp. 103-112, 2001.
  9. C. H. Choi, Y. J. Park, S. H. Han and S. Y. Chin, "Recipe-based estimation system for 5D(3D + Cost + Schedule) CAD system", Proceedings of KICEM Annual Conference, pp.154-160, 2006
  10. Y. S. Hwang, "Automatic Quantity Takeoff from Drawing Through IFC Model", Journal of the Architectural Institute of Korea, Vol. 20, No. 12, pp.89-97, 2004.
  11. M. G, Yoo, "A study on improving estimating practices of building projects using BIM", Master's. Thesis, Chung-ang University, 2009
  12. Shen, Z., and Raja, R. A, "Quantitative Evaluation of The BIM-Assisted Construction Detailed Cost Estimation", Journal of Information Technology in Construction, Vol. 15, pp.234-257, 2010.
  13. S. A. Kim, S. W. Yoon, S. Y. Jin and T. Y. Kim, "A Development of Automated Modeling System for Apartment Interior to Improve Productivity of BIM-based Quantity Take-Off", Journal of the Architectural Institute of Korea, Vol. 25, No. 9, pp.133-143, 2009.
  14. P. Vaidya, L. Greden, D. Eijadi, T. McDougall, R. Cole "Integrated cost-estimation methodology to support high-performance building design", Energy Efficiency Vol. 2, No. 1, pp.69-85, 2008. DOI: http://dx.doi.org/10.1007/s12053-008-9028-4
  15. K. J. Koo, S. H. Park, S. C. Park and J. K. Song, "Object & Parameter based Schematic Estimation Model for Predicting Cost of Building Interior finishings", Korean journal of construction engineering and management, Vol. 9, No. 6, pp.175-184
  16. H. G. Kim, "Object-based Design Decision Support System for Cost Control of Building Interior-Finishing", Master's. Thesis, University of Seoul, 2008.