Automation of M.E.P Design Using Large Language Models

대형 언어 모델을 활용한 설비설계의 자동화

  • Published : 2023.11.10

Abstract

Urbanization and the increase in building scale have amplified the complexity of M.E.P design. Traditional design methods face limitations when considering intricate pathways and variables, leading to an emergent need for research in automated design. Initial algorithmic approaches encountered challenges in addressing complex architectural structures and the diversity of M.E.P types. However, with the launch of OpenAI's ChatGPT-3.5 beta version in 2022, new opportunities in the automated design sector were unlocked. ChatGPT, based on the Large Language Model (LLM), has the capability to deeply comprehend the logical structures and meanings within training data. This study analyzed the potential application and latent value of LLMs in M.E.P design. Ultimately, the implementation of LLM in M.E.P design will make genuine automated design feasible, which is anticipated to drive advancements across designs in the construction sector.

Keywords

Acknowledgement

본 연구는 한국과학재단이 주관하는 대학 중점연구소지원사업(No. NRF-2018R1A6A1A07025819)과 국토교통부의 디지털 기반 건축시공 및 안전감리 기술개발사업(1615012983)의 지원을 받아 수행되었습니다.

References

  1. Erik Brynjolfsson. Danielle Li & Lindsey R. Raymond, Generative AI at Work.
  2. Danny Driess. PaLM-E: An Embodied Multimodal Language Model.