Fully automated synthetic BIM dataset generation using a deep learning-based framework

IF 11.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-10-18 DOI:10.1016/j.autcon.2025.106584

Xing Liang , Nobuyoshi Yabuki , Tomohiro Fukuda

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引用次数: 0

Abstract

Building information models (BIMs) are essential for efficient building operation, yet most existing buildings only have two-dimensional (2D) drawings, leading to increased interest in 2D-to-BIM reconstruction. To address the data scarcity hindering automated BIM reconstruction and evaluation, this paper presents a deep learning-based fully automated framework for BIM dataset generation. The approach uses image processing to define polygonal boundaries, applies neural networks to generate geometric layouts, and augments semantic information with predefined data for BIM generation via software application programming interfaces (APIs). The resulting Residential unit BIM (ResBIM) is a synthetic dataset comprising over 1000 paired BIMs (RVT format) and their corresponding 2D floor plans automatically annotated via a toolbox, filling a critical gap in BIM data availability. This work provides a scalable automated BIM reconstruction solution and establishes the foundation for future AI-driven BIM automation research.

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使用基于深度学习的框架全自动合成BIM数据集生成

建筑信息模型（bim）对于高效的建筑运营至关重要，然而大多数现有建筑只有二维（2D）图纸，这导致人们对二维到bim重建的兴趣增加。为了解决阻碍BIM自动化重建和评估的数据稀缺性问题，本文提出了一种基于深度学习的BIM数据集生成全自动化框架。该方法使用图像处理来定义多边形边界，应用神经网络来生成几何布局，并通过软件应用程序编程接口（api）通过预定义数据来增强BIM生成的语义信息。由此产生的住宅单元BIM （ResBIM）是一个合成数据集，包括超过1000对BIM （RVT格式）及其相应的2D平面图，通过工具箱自动注释，填补了BIM数据可用性的关键空白。这项工作提供了一个可扩展的自动化BIM重建解决方案，并为未来ai驱动的BIM自动化研究奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.