• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM
Ghang Lee, Suhyung Jang, Kyungha Lee, Munchel Kim
2023,15(4):1-6. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.01
This paper provides an overview of South Korea's 20-year journey in adopting building information modeling (BIM) and future direction. It first discusses the six phases of BIM adoption in South Korea, starting from the use of BIM as a marketing tool to its current intelligent BIM phase. The government's support for BIM-related research and development projects is also highlighted, with a focus on the artificail intelligence (AI)-based architectural design automation project. As the future direction, it explores the integration of AI with BIM in both local and global contexts. The paper presents AI-powered architectural design methods, including AI-powered early architectural design generation and architectural detailing. Compared to AI-based early architectural design generation, architectural detailing is an unexplored research topic. This paper introduces two AI- and BIM-based architectural detailing methods, being developed at Yonsei University: namely, BIM library transplant and Natural language-based Architectural Detailing through Interaction with AI (NADIA). These methods demonstrate how AI-enhanced BIM can enable architects to interactively develop building details using a language model as a conversational AI and a knowledge base, and a BIM authoring tool as a design platform, in the near future.
关键词: building information modeling (BIM), artificial intelligence (AI), South Korea, BIM adoption, BIM utilization level (BUL), Natural language-based Architectural Detailing through Interaction with AI (NADIA), BIM library transplant

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