Ivson Paulo, Moreira Andre, Queiroz Francisco, Santos Wallas, Celes Waldemar
IEEE Trans Vis Comput Graph. 2020 Oct;26(10):3109-3127. doi: 10.1109/TVCG.2019.2907583. Epub 2019 Mar 26.
Building Information Modeling (BIM) employs data-rich 3D CAD models for large-scale facility design, construction, and operation. These complex datasets contain a large amount and variety of information, ranging from design specifications to real-time sensor data. They are used by architects and engineers for various analysis and simulations throughout a facility's life cycle. Many techniques from different visualization fields could be used to analyze these data. However, the BIM domain still remains largely unexplored by the visualization community. The goal of this article is to encourage visualization researchers to increase their involvement with BIM. To this end, we present the results of a systematic review of visualization in current BIM practice. We use a novel taxonomy to identify main application areas and analyze commonly employed techniques. From this domain characterization, we highlight future research opportunities brought forth by the unique features of BIM. For instance, exploring the synergies between scientific and information visualization to integrate spatial and non-spatial data. We hope this article raises awareness to interesting new challenges the BIM domain brings to the visualization community.
建筑信息模型（BIM）采用数据丰富的三维计算机辅助设计（CAD）模型进行大规模设施的设计、建造和运营。这些复杂的数据集包含大量且种类繁多的信息，从设计规范到实时传感器数据。建筑师和工程师在设施的整个生命周期中使用它们进行各种分析和模拟。来自不同可视化领域的许多技术可用于分析这些数据。然而，可视化社区在很大程度上仍未对BIM领域进行探索。本文的目的是鼓励可视化研究人员更多地参与到BIM中。为此，我们展示了对当前BIM实践中的可视化进行系统综述的结果。我们使用一种新颖的分类法来识别主要应用领域并分析常用技术。基于这一领域特征，我们突出了BIM独特特性带来的未来研究机会。例如，探索科学可视化与信息可视化之间的协同作用以整合空间和非空间数据。我们希望本文能提高人们对BIM领域给可视化社区带来的有趣新挑战的认识。
