DOI QR코드

DOI QR Code

효율적 공간 형상화 및 건물성능분석을 위한 스케치 정보 기반 BIM 모델 자동생성 프레임워크 개발

A Framework Development for Sketched Data-Driven Building Information Model Creation to Support Efficient Space Configuration and Building Performance Analysis

  • 공병찬 (충북대학교 건축공학과) ;
  • 정운성 (충북대학교 건축공학과)
  • Kong, ByungChan (Department of Architectural Engineering, Graduate School, Chungbuk National University) ;
  • Jeong, WoonSeong (Department of Architectural Engineering, Chungbuk National University)
  • 투고 : 2023.09.01
  • 심사 : 2023.12.08
  • 발행 : 2024.01.31

초록

사용자의 공간 요구사항 중심의 평면계획에 대한 수요가 증가함에 따라 소형 주택시장이 지속적으로 성장하고 있다. 하지만 건축주는 공간 구성이나 비용 견적과 같은 근거를 기반으로 평면요구사항을 개진하는데 매우 제한적인 수단을 활용하고 있어 건축가와 같은 전문가들과의 소통에 많은 어려움을 겪고 있다. 본 연구의 목적은 스케치 정보 기반의 공간 요구사항을 BIM 모델의 3D 건물구성요소로 자동 변환하여 사용자의 공간에 대한 이해를 돕고, 초기 설계단계에서 예산 산정을 지원하기 위한 건물성능분석 정보를 제공할 수 있는 프레임워크 개발에 있다. 본 연구의 방법론은 프로세스 모델 개발, 프레임워크 구현 및 검증단계로 구성되었다. 프로세스 모델 개발은 프레임워크의 데이터 흐름을 묘사하고 프레임워크에 필요한 기능을 정의하는 단계이며, 프레임워크 구현은 프로세스 모델을 기반으로 시스템 인터페이스와 사용자 인터페이스를 개발하고, 이종 시스템 간의 연동 방식을 정의하는 단계이다. 검증단계는 개발된 프레임워크가 스케치 정보로 표현된 공간 요구사항을 BIM 모델의 벽, 바닥, 지붕과 같은 건물 구성요소 객체들로 자동 변환할 수 있는가를 검증하였다. 또한 프레임워크가 BIM 모델을 기반으로 재료 및 에너지 비용을 자동으로 산출할 수 있는가를 검증하였다. 프레임워크를 통해 사용자는 스케치 정보를 기반으로 3D 건물 구성요소를 효율적으로 생성할 수 있으며, 생성된 BIM 모델을 통해 공간을 이해하고 건물성능분석 정보를 제공받을 수 있다.

The market for compact houses is growing due to the demand for floor plans prioritizing user needs. However, clients often have difficulty communicating their spatial requirements to professionals including architects because they lack the means to provide evidence, such as spatial configurations or cost estimates. This research aims to create a framework that can translate sketched data-driven spatial requirements into 3D building components in BIM models to facilitate spatial understanding and provide building performance analysis to aid in budgeting in the early design phase. The research process includes developing a process model, implementing, and validating the framework. The process model describes the data flow within the framework and identifies the required functionality. Implementation involves creating systems and user interfaces to integrate various systems. The validation verifies that the framework can automatically convert sketched space requirements into walls, floors, and roofs in a BIM model. The framework can also automatically calculate material and energy costs based on the BIM model. The developed frame enables clients to efficiently create 3D building components based on the sketched data and facilitates users to understand the space and analyze the building performance through the created BIM models.

키워드

과제정보

이 논문은 2023년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No.2020R1I1A3052594). 과제번호: NRF-2020R1I1A3052594

참고문헌

  1. Autodesk, Inc. (2021). Revit: BIM software for designers, builders, and doers. (Feb. 20, 2023)
  2. Bradski, G. (2000). "The openCV library." Dr. Dobb's Journal: Software Tools for the Professional Programmer, 25(11), pp. 120-123.
  3. Cho, D.G., and Lee, J.K. (2021). "Training Floorplan Sketches and Applying to the Spatial Design - Focused on the Development of Automated BIM Modeling module from Floor Plan Sketches in the Early Stage of Design." Journal of Korea Institute of Spatial Design, 16(3), pp. 365-374.
  4. Choi, S.Y., Choi, J.W., Kim, J.H., and Kim, J.J. (2011). "A Study on the Development of a BIM-based Spatial Planning Simulation System for Architectural Planning Stage Support." Journal of KIBIM, 1(2), pp. 19-23. https://doi.org/10.13161/KIBIM.2011.1.2.019
  5. Gao, H., Koch, C., and Wu, Y. (2019). "Building information modelling based building energy modelling: A review." Applied energy, 238, pp. 320-343. https://doi.org/10.1016/j.apenergy.2019.01.032
  6. Huh, K.J., and Min, H.K. (2021). "The Effects of Housing Cost Burden on Housing Choice: Differences by Household Type." SH Urban Research & Insight, 11(3), pp. 17-40. https://doi.org/10.26700/shuri.2021.12.11.3.17
  7. Jo, Y.J., Yang, E.J., and Kim, K. (2019). "A Study on the Spatial Composition of Urban Small-Housing for 1.2 People Household - focused on domestic and Japanese narrow housing cases -." Bulletin of Korean Society of Basic Design & Art, 20(6), pp. 489-504.
  8. Jung, S., Park, M., Lee, H.S., and Yoon, I. (2020). "Cost Estimation of Case-Based Reasoning Using Hybrid Genetic Algorithm-Focusing on Local Search Method Using Correlation Analysis." Korean Journal of Construction Engineering and Management, 21(1), pp. 50-60.
  9. Kingma, D.P., and Ba, J. (2014). "Adam: A method for stochastic optimization." arXiv preprint, arXiv:1412.6980.
  10. Kim, J.S., and Lee, J.K. (2015). "An Approach to the Graph-based Representation and Analysis of Building Circulation using BIM - MRP Graph Structure as an Extension of UCN -." Korean Journal of Construction Engineering and Management, 16(5), pp. 3-11.
  11. Ministry of Land, Infrastructure and Transport. (2020). "Building Energy Use Statistics." (Feb. 20, 2023)
  12. Moon, H.J., and Kim, S.K. (2012). "Development of a BIM based Energy Performance Evaluation Method for Buildings with a Twisted Shape in Early Design Stage." Journal of the Architectural Institute of Korea Planning & Design, 28(7), pp. 289-296.
  13. National Institute of Standards and Technology (NIST). (1993). "FIPS Publication 183: Integration Definition of Function Modeling (IDEF0)." National Institute of Standards and Technology, MD, USA.
  14. Park, M.S., and Lee, J.C. (2018, May 18). "Housing policy response plan in response to the increase in single-person households." KRIHS POLICY BRIEF, 665, pp. 1-8.
  15. Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., and Chintala, S. (2019). "Pytorch: An imperative style, high-performance deep learning library." Advances in neural information processing systems, 32.
  16. Rezaei, F., Bulle, C., and Lesage, P. (2019). "Integrating building information modeling and life cycle assessment in the early and detailed building design stages." Building and Environment, 153, pp. 158-167. https://doi.org/10.1016/j.buildenv.2019.01.034
  17. SEOUL CITY GAS. (2019). "Fee inquiry and payment."  (Feb. 20, 2023)
  18. Van Rossum, G., and Drake, F.L. (2009). "Python 3 Reference Manual." Scotts Valley, CA: CreateSpace.
  19. Xu, Y., Xu, W., Cheung, D., and Tu, Z. (2021). "Line segment detection using transformers without edges." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4257-4266.
  20. Zhang, T.Y., and Suen, C.Y. (1984). "A fast parallel algorithm for thinning digital patterns." Communications of the ACM, 27(3), pp. 236-239. https://doi.org/10.1145/357994.358023
  21. Zhang, Z., Liu, Q., and Wang, Y. (2018). "Road Extraction by Deep Residual U-Net." IEEE Geoscience and Remote Sensing Letters, 15(5), pp. 749-753. doi.org/10.1109/LGRS.2018.2802944
  22. Zhou, Z., Rahman Siddiquee, M.M., Tajbakhsh, N., and Liang, J. (2018). "Unet++: A nested u-net architecture for medical image segmentation." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4, pp. 3-11.