An Inspection of IFC Models from Practice
An Inspection of IFC Models from Practice
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DOI：
10.3390/app11052232
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
F. Noardo;K. Arroyo Ohori;T. Krijnen;J. Stoter
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文献类型：
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作者：
F. Noardo;K. Arroyo Ohori;T. Krijnen;J. Stoter
行业基础类（IFC）是一个完整的，广泛的和复杂的开放的标准数据模型来表示建筑信息模型。标准化组织buildingSMART正在与研究人员、公司和机构合作，努力开发和维护该标准。然而，当试图使用国际金融公司的模型从实践中进行自动分析，出现了一些问题，因为什么是规定的，或提供的，在实践中产生的数据集的标准之间的不一致。在这项研究中，一个样本的模型由从业者的目标不同，他们明确使用自动处理工具进行检查和分析。其目的是从实践中找出数据集的共同模式及其与标准之间可能存在的差异，以便在下一步找到解决这些差异的方法。特别是，值得注意的是，模型的整体质量需要建模者在依赖它们进行自动分析之前特别注意，并且在存储一些相关信息（例如地理参考）方面存在很大的可变性。
Industry Foundation Classes (IFC) is a complete, wide and complex open standard data model to represent Building Information Models. Big efforts are being made by the standardization organization buildingSMART, to develop and maintain this standard in collaboration with researchers, companies and institutions. However, when trying to use IFC models from practice for automatic analysis, some issues emerge, as a consequence of a misalignment between what is prescribed by, or available in, the standard with the data sets that are produced in practice. In this study, a sample of models produced by practitioners for aims different from their explicit use within automatic processing tools is inspected and analyzed. The aim is to find common patterns in data set from practice and their possible discrepancies with the standard, in order to find ways to address such discrepancies in a next step. In particular, it is noticeable that the overall quality of the models requires specific additional care by the modellers before relying on them for automatic analysis, and a high level of variability is present concerning the storage of some relevant information (such as georeferencing).