A Methodology for Using ChatGPT to Improve BIM-based Design Data Evaluation System

Eun-Sang Yu; Gu-Taek Kim; Yong-Han Ahn; Jung-Sik Choi

doi:10.13161/kibim.2024.14.2.025

All Issue

2024 Vol.14, Issue 2 Preview Page Next Page

Research Article

A Methodology for Using ChatGPT to Improve BIM-based Design Data Evaluation System BIM기반 설계데이터 평가 시스템 개선을 위한 ChatGPT활용 방법론

30 June 2024. pp. 25-34

PDF XML

Abstract

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

Keywords

건설정보모델링

건축 AI

설계 데이터 자동화 평가

챗GPT

키워드

BIM

Architectural AI

Design Data Automation Evaluation

ChatGPT

References

Alex, K., Kenrick, C. (2023). ChatGPT Birth Story and Competition between Super-giant AI Companies, Forbes Korea, pp. 60-65.

Avyay, C., Archit L.i, Kanishk R., Kaushik, S., Kathiravan, S. (2024) A Contemporary Review on Chatbots, AI-powered Virtual Conversational Agents, ChatGPT: Applications, Open Challenges and Future Research Directions, Computer Science Review, 52.

10.1016/j.cosrev.2024.100632

Choo, S. Y. (2019). Convergence of BIM-based Architectural Design with AI Technology, Review of Architecture and Building Science, 63(6), pp. 44-47.

Farzad, J., Sephr, M. (2020). An Integrated BIM-LEED Application to Automate Sustainable Design Assessment Framework at the Conceptual Stage of Building Projects, Journal of Sustainable Cities and Society, 53, 101979.

10.1016/j.scs.2019.101979

Hong, S. C., Kim, S. T. (2018). A Basic Study on Review BlM Guidelines for an Automatic Review of Certification Method of Health and Barrier Free Environment - Focuse d on the LOD (Level of Development) -, Journal of the Korean Institute of Interior Design, 27(4), pp. 104-117.

10.14774/JKIID.2018.27.4.104

Horvath, A. S., Pouliou, A. S. (2024). AI for Conceptual Architecture: Reflections on Designing with Text-to-Text, Text-to-Image, and Image-to-Image Generators, Frontiers of Architectural Research, 13(3), pp. 593-612.

10.1016/j.foar.2024.02.006

Hussain, M., Zheng, B., Chi, H. A., Hsu, S. C., Chen, J. H. (2023). Automated and Continuous BIM-based Life Cycle Carbon Assessment for Infrastructure Design Projects, Resources, Conservation and Recycling, 190.

10.1016/j.resconrec.2022.106848

Hwang, J. K., (2023). A Study on BIM Utilization Technology at the Basic Design Stage Applying OpenAI: Focusing on Process Planning and Quantity Calculation, Master's Thesis, Korea University.

Kang, K. J., Kim, G. T. K., Ma, J. H., Yu, E. S., Choi, J. S. (2022). Development of openBIM-based BF Certification Evaluation Rule Interoperation, Korean Journal of Computational Design and Engineering, 27(3), pp. 259-268.

10.7315/CDE.2022.259

Kang, T. (2019). Rule-Based LEED Evaluation Method Considering BIM Linkage and Variabil-ity, KSCE Journal of Civil Engineering, 24(1), pp. 110-121.

10.1007/s12205-020-1026-x

Kim, I .H., Lee, S. J., Choi, J. S. (2019). A Basic Study on the Application of Quantitative Construction Assessment based on openBIM, Korean Journal of Computational Design and Engineering, 24(4), pp. 393-401.

10.7315/CDE.2019.393

Kim, I .H., Lee, S. J., Choi, J. S. (2021a). Proposal of Development and Application of the Buildings by Use Classification System for openBIM-based Automatic Rule Checking, Korean Journal of Computational Design and Engineering, 26(4), pp. 408-417.

10.7315/CDE.2021.408

Kim, I. H., Jang, J. M., Choi, J. S. (2018). A Study on the Additional Properties Management Method for Building Code Automated Checking by BIM. Korean Journal of Computational Design and Engineering, 23(2), 92-104.

10.7315/CDE.2018.092

Kim, I. H., Kim, J. Y., Lee, S.J., Lee, A. J., Choi, J. S. (2021b). A Study on Escape Stairs Classification Method for openBIM-based Automated Building Code Checking. Korean Journal of Computational Design and Engineering, 26(3), pp. 172-182.

10.7315/CDE.2021.172

Kim, I. S., Jun, H. J. (2013). The Study on Creating Evaluation Environment for Evaluation Criteria of the Green Building Certification Criteria using a BIM-based Template, Proceedings of the Architecture Institute of Korea, 33(1), pp. 47-48.

Lee, D. H., Ko, S. H. (2023). Experiment and Evaluation of Architectural Image Generation through Artificial Intelligence-Based Text Image Generation Tool, Korea Institute of Ecological Architecture and Environment Journal, 23(5), pp. 13-22.

10.12813/kieae.2023.23.5.013

Lee, H. Y., Kim, J. G., Choi, J. S., Won, S. Y. (2022). Basic Research on BIM-based Design Certification Evaluation and Operating System. Korean Journal of Computational Design and Engineering, 27(4), pp. 425-434.

10.7315/CDE.2022.425

Lee, J. K., (2023). Gen AI and Visualization in Architecture, Review of Architecture and Building Science, 67(11), pp. 36-39.

Ma, J. H., Yu, E. S., Ahn, Y. H., Choi, J. C. (2022). A Study on Evaluation Item Data Classification for BIM-based BF Certification Evaluation, Korean Journal of Computational Design and Engineering, 27(2), pp. 126-136.

10.7315/CDE.2022.126

Ministry of Land, Infrastructure and Transport (MOLIT) (2022), Smart Construction Activation Plan.

Park, J. J., Kim, E. Y., Lim, S. Y., Jun, H. J. (2022). Development of a Customized BIM-based Architectural Design Service Platform for Architectural Design Practitioners. Journal of the Architectural Institute of Korea, 38(1), pp. 59-66.

Ploennings, J., Berger, M. (2022). AI art in Architecture, arXiv:2212.09399v1 [cs.AI], pp. 1-21.

10.1007/s43503-023-00018-y

Yoon, J. D., Cho, H. S., Lee, J. H., Shin, J. Y., Kim, E. (2020). A Comparison of Quantity Take-Offs of RC Structures based on BIM, Journal of the Computational Structural Engineering Institute of Korea, 33(1), pp. 35-44.

10.7734/COSEIK.2020.33.1.35

Yu, E. S., Ma, J. H., Choi, J, S., (2021). A Study on the Automation Application of BIM-based BF Certification Evaluation Process, Korean Journal of Computational Design and Engineering, 26(4), pp. 418-427.

10.7315/CDE.2021.418

Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 14
No :2
Pages :25-34
Received Date : 2024-06-05; 2024-06-18
Accepted Date : 2024-06-20
DOI :https://doi.org/10.13161/kibim.2024.14.2.025

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

All Issue