BIM 기반 설계인증 자동화 평가 시스템의 ChatGPT API 연계 프로세스 연구A Research on the ChatGPT API Linkage Process of BIM-based Design Certification Automation Evaluation System
- Other Titles
- A Research on the ChatGPT API Linkage Process of BIM-based Design Certification Automation Evaluation System
- Authors
- 최중식; 김구택; 황혜빈; 안용한; 유은상
- Issue Date
- Sep-2024
- Publisher
- 한국CDE학회
- Keywords
- Building Information Modeling (BIM); Design Data Automation Evaluation; ChatGPT
- Citation
- 한국CDE학회 논문집, v.29, no.3, pp 221 - 231
- Pages
- 11
- Indexed
- KCI
- Journal Title
- 한국CDE학회 논문집
- Volume
- 29
- Number
- 3
- Start Page
- 221
- End Page
- 231
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120300
- DOI
- 10.7315/CDE.2024.221
- ISSN
- 2508-4003
2508-402X
- Abstract
- This study examines the integration of the ChatGPT API into BIM-based design certification systems, focusing on improving efficiency, accuracy, and user interaction. The design authentica- tion automation evaluation system utilizes ChatGPT to automate the interpretation of complex authentication criteria to provide contextual responses in real time. The research identifies lim- itations in traditional systems and presents ChatGPT as a solution, linking design certification logic with AI-driven interaction. The study highlights the enhanced user experience, increased efficiency, and consistent, accurate responses provided by the system. Additionally, the integra- tion’s scalability and adaptability make it ideal for the evolving construction industry. Ulti- mately, this research demonstrates how AI technologies can transform traditional design certification workflows, offering a more efficient, reliable, and user-friendly approach for indus- try professionals.
This study examines the integration of the ChatGPT API into BIM-based design certification systems, focusing on improving efficiency, accuracy, and user interaction. The design authentica- tion automation evaluation system utilizes ChatGPT to automate the interpretation of complex authentication criteria to provide contextual responses in real time. The research identifies lim- itations in traditional systems and presents ChatGPT as a solution, linking design certification logic with AI-driven interaction. The study highlights the enhanced user experience, increased efficiency, and consistent, accurate responses provided by the system. Additionally, the integra- tion’s scalability and adaptability make it ideal for the evolving construction industry. Ulti- mately, this research demonstrates how AI technologies can transform traditional design certification workflows, offering a more efficient, reliable, and user-friendly approach for indus- try professionals.
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