Walch Andreas, Szabo Attila, Steinlechner Harald, Ortner Thomas, Groller Eduard, Schmidt Johanna
IEEE Trans Vis Comput Graph. 2025 Jan;31(1):240-250. doi: 10.1109/TVCG.2024.3456315. Epub 2024 Nov 25.
Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the process of using a 3D representation of a building as a basis for thermal simulations to assess the building's energy performance. This paper explores the intersection of BIM and BEM, focusing on the challenges and methodologies in converting BIM data into BEM representations for energy performance analysis. BEMTrace integrates 3D data wrangling techniques with visualization methodologies to enhance the accuracy and traceability of the BIM-to-BEM conversion process. Through parsing, error detection, and algorithmic correction of BIM data, our methods generate valid BEM models suitable for energy simulation. Visualization techniques provide transparent insights into the conversion process, aiding error identification, validation, and user comprehension. We introduce context-adaptive selections to facilitate user interaction and to show that the BEMTrace workflow helps users understand complex 3D data wrangling processes.
建筑信息模型(BIM)描述了一个涵盖建筑项目整个生命周期的中央数据库。同样,建筑能源模型(BEM)描述了以建筑物的三维表示为基础进行热模拟以评估建筑物能源性能的过程。本文探讨了BIM与BEM的交叉点,重点关注将BIM数据转换为用于能源性能分析的BEM表示形式时所面临的挑战和方法。BEMTrace将三维数据处理技术与可视化方法相结合,以提高BIM到BEM转换过程的准确性和可追溯性。通过对BIM数据的解析、错误检测和算法校正,我们的方法生成适用于能源模拟的有效BEM模型。可视化技术为转换过程提供了透明的见解,有助于错误识别、验证和用户理解。我们引入上下文自适应选择以促进用户交互,并表明BEMTrace工作流程有助于用户理解复杂的三维数据处理过程。