Development of BIM Data Evaluation Criteria Real-time Change Response System Using ChatGPT

Eun-Sang Yu; Hey-Bin Hwang; Yong-Han Ahn; Jung-Sik Choi

doi:10.13161/kibim.2025.15.1.013

All Issue

2025 Vol.15, Issue 1 Preview Page Next Page

Research Article

Development of BIM Data Evaluation Criteria Real-time Change Response System Using ChatGPT ChatGPT를 활용한 BIM 데이터 평가 기준 실시간 변경 대응 시스템 개발 연구

31 March 2025. pp. 13-24

PDF XML

Abstract

This research presents a methodology for enhancing automation in design certification evaluation systems by integrating Building Information Modeling (BIM) with OpenAI’s generative AI, ChatGPT. Traditional BIM-based certification systems require frequent manual revisions whenever certification standards change, relying heavily on programming specialists. This leads to inefficiencies and delays in the certification process. To overcome these challenges, this research proposes a real-time interactive system that enables users to modify evaluation criteria directly through a chat-based natural language interface. ChatGPT interprets user instructions and dynamically updates the evaluation logic. The system specifically targets the Barrier-Free (BF) certification, focusing on the clear width criteria applied to BIM data. By connecting ChatGPT with the AIBIM Chat system, users without programming knowledge can interactively modify the evaluation logic. The system extracts object attributes such as IfcDoor parameters from BIM data, applies the modified criteria, and ensures consistency through automated verification. This process streamlines the certification workflow by reducing manual effort and minimizing errors. A case study was conducted to validate the system's accuracy, efficiency, and adaptability. Results confirmed that the system dynamically handles both strengthened and relaxed evaluation criteria, automatically reflects them in BIM data, and provides accurate certification outcomes. This study highlights the potential of AI-driven automation to improve the accessibility, reliability, and efficiency of design certification, offering a practical solution for non-expert users.

Keywords

Building Information Modeling(BIM)

Design Data

Architectural AI

Automation Evaluation

ChatGPT

키워드

건설정보모델링

설계 데이터

건축 AI

자동화 평가

대화형AI

References

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

Choi, J. S., Kim, G. T., Hwang, H. B., Ahn, Y. H., Yu, E. S. (2024). A Research on the ChatGPT API Linkage Process of BIM-based Design Certification Automation Evaluation System. Korean Journal of Computational Design and Engineering, 29(3), pp. 221-231. 10.7315/CDE.2024.221

10.7315/CDE.2024.221

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

David, F., Sahej, G., Matthew, N., Gursans, G. (2024), A GPT-Powered Assistant for Real-Time Interaction with Building Information Models, Buildings, 14(8), 2499.

10.3390/buildings14082499

Fan, Z., Albert, P. C. C., Amos, D., Zhengyi, C., Dezhi, L. (2022). Integrated Applications of Building Information Modeling and Artificial Intelligence Techniques in the AEC/FM industry, Automation in Construction, 139.

10.1016/j.autcon.2022.104289

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

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 - Focused 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

Jang, S. H., Lee, G. (2023). Interactive Design by Integrating a Large Pre-Trained Language Model and Building Information Modeling, Computing in Civil Engineering.

Jeon, J. E., Kim, H. M. (2023). Exploring Effective Workforce Management and Integrated BIM Design in Architectural Firms - A Comparative Analysis of Multifamily Housing Projects in Korea and the United States -, Journal of the Architectural Institute of Korea, 39(12), pp. 79-88.

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

Kim, I. H., Lee, S. J., Choi, J. S. (2021). A Proposalof Development and Application of the Buildingsby Use Classification System for openBIM-basedAutomatic Rule Checking, Korean Journal of Computational Design and Engineering, 26(4), pp. 408-417.

10.7315/CDE.2021.408

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

Mohammadsaeid, P., Udara, S., Tharindu, C. D., Piyaruwan, P., Rajeev, R. (2023). A Review of Construction Management Challenges and BIM-based Solutions: Perspectives from the Schedule, Cost, Quality, and Safety Management, Asian Journal of Civil Engineering, 24, pp. 343-389.

10.1007/s42107-022-00501-4

Nitin, L., Saurabh, P. C., Jayesh, R. (2023). Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges, SvedbergOpen. 3(2), pp. 92-124.

10.51483/IJARP.3.2.2023.92-124

Pan, Y., Mario, C. (2023). Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions. Archives of Computational Methods in Engineering. 22. pp. 1081-1110. 10.1007/s11831-022-09830-8.

10.1007/s11831-022-09830-8

Park, Y.S., Moon, J.S., (2014). A Study on the BIM Design Collaboration in Block Residential Projects Focused on the Combination Method of Unit Plan Models. Journal of the Architectural Institute of Korea Planning & Design, 30(2), pp. 15-22.

10.5659/JAIK_PD.2014.30.2.015

Rasheed, O. A., Abiodun, B. A., Ifechukwu, G. O., Tochi, C. O., Obinna, I., Baalah, M. P. G. (2024). Exploring the Intersection of Building Information Modeling (BIM) and Artificial Intelligence in Modern Infrastructure Projects, International Journal of Science and Research Archive, 13(2), pp. 2414-2427.

10.30574/ijsra.2024.13.2.2421

Shu, T., Dennis, R. S., Charles, M. E., Pardis, P.B., Xinghua, G. (2020). BIM Assisted Building Automation System Information Exchange Using BACnet and IFC, Automation in Construction, 110.

10.1016/j.autcon.2019.103049

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., Kim, G. T., Ahn, Y. H., Choi, J. S. (2024). A Methodology for Using ChatGPT to Improve BIM-based Design Data Evaluation System. KIBIM Magazine, 14(2), pp. 25-34.

Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 15
No :1
Pages :13-24
Received Date : 2025-01-30; 2025-03-26
Accepted Date : 2025-03-28
DOI :https://doi.org/10.13161/kibim.2025.15.1.013

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

All Issue