Review: reconstruction of 3D building information models from 2D scanned plans
Review: reconstruction of 3D building information models from 2D scanned plans
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DOI：
10.1016/j.jobe.2015.04.002
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发表时间：
2015-06-01
影响因子：
6.4
通讯作者：
Zreik, Khaldoun
中科院分区：
文献类型：
--
作者：
Gimenez, Lucile;Hippolyte, Jean-Laurent;Zreik, Khaldoun
3D数字建模、建筑信息模型（BIM）和数值模拟被广泛认为是建筑设计支持工具的重要组成部分，但需要大量的数字数据才能真正发挥其潜力。目前，它们主要应用于新建筑的设计和施工，而很少应用于改造项目，因为大多数现有建筑的数字数据很少。因此，迫切需要设计可靠有效的方法来生成现有建筑的3D数字（BIM）模型。这种认识被广泛分享，并导致了大量的研究工作和在各个领域的重大创新：3D激光扫描，图像处理等。为了对这一最先进的技术做出重大贡献，本文对从2D图纸生成3D建筑模型的方法和工具进行了批判性的回顾，沿着两条互补的路线发展：对3D生成技术的广泛评估，以及对基于2D图纸的方法（从图像处理到BIM创建和验证）的更集中、更深入的回顾。审查遵循定义明确的方法，并以100多篇相关参考文献的工作为基础。它包括大量的讨论，以突出审查的研究工作的优点、缺点和优先应用，并提供了一个研究议程。该研究特别强调了最先进的技术是分散的：大多数研究工作都集中在3D模型生成过程的特定、有限步骤上，但还没有解决方案能够解决整个生成链。另一个结论是，选择最有效的方法在很大程度上取决于预期的应用程序和特定于项目的约束。此外，该研究强调，结合现有的方法可以获得显著的好处。(C) 2015 Elsevier Ltd.版权所有。
3D digital modeling, Building Information Modeling (BIM) and numerical simulation are widely recognized as essential components of building design support tools, but require a significant amount of digital data to truly achieve their potential. Currently, they are mostly applied in the design and construction of new buildings but rarely in renovation projects, since few digital data are available for the majority of existing buildings. It is therefore urgent to devise reliable and effective approaches to the generation of 3D digital (BIM) models of existing buildings. This recognition is widely shared and has resulted in a substantial amount of research work and significant innovations in various fields: 3D laser scanning, images processing, etc. With the aim of bringing some significant contribution to this state-of-Lhe-art, this paper provides a critical review of the methods and tools for generating 3D building models from 2D drawings, developing along two complementary lines: a wide-spectrum assessment of 3D generation techniques, and a more focused, in-depth review of 2D drawings based approaches (from image processing to BIM creation and validation). The review follows a well-defined methodology and builds on the work of more than 100 relevant references. It includes substantial discussions to highlight the strengths, weaknesses and preferential applications of the reviewed research works, and provides a research agenda. The study particularly highlights that the state-of-the-art is fragmented: most research works focus on specific, limited steps of the 3D models generation process, but no solution has yet been able to tackle the whole generation chain. An additional conclusion is that the selection of the most effective approach lamely depends on the intended application, and on project-specific constraints. Also, the study highlights that significant benefits could be drawn from combining existing approaches. (C) 2015 Elsevier Ltd. All rights reserved.