迈向BIM模型的回顾性生成自动化:建筑环境三维语义重建的统一框架
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
AI总结:
本文提出SRBIM统一语义重建架构,解决3D模型向BIM转换缺乏统一可扩展框架的问题,并通过定性定量评估验证其有效性,为自动化BIM建模确立新范式。
摘要:
建筑信息模型(BIM)的采用在建筑项目中是有益的。然而,由于缺乏将3D模型细节转换为BIM的统一且可扩展的框架,它面临挑战。本文介绍了SRBIM,一种用于BIM生成的统一语义重建架构。通过广泛的定性和定量评估,证明了我们方法的有效性,为自动化BIM建模确立了新范式。
英文摘要:
The adoption of Building Information Modeling (BIM) is beneficial in construction projects. However, it faces challenges due to the lack of a unified and scalable framework for converting 3D model details into BIM. This paper introduces SRBIM, a unified semantic reconstruction architecture for BIM generation. Our approach's effectiveness is demonstrated through extensive qualitative and quantitative evaluations, establishing a new paradigm for automated BIM modeling.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。