VALIDATION OF BIM COMPONENTS BY PHOTOGRAMMETRIC POINT CLOUDS FOR CONSTRUCTION SITE MONITORING
VALIDATION OF BIM COMPONENTS BY PHOTOGRAMMETRIC POINT CLOUDS FOR CONSTRUCTION SITE MONITORING
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DOI：
10.5194/isprsannals-ii-3-w4-231-2015
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
S. Tuttas;A. Braun;A. Borrmann;Uwe Stilla
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文献类型：
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作者：
S. Tuttas;A. Braun;A. Borrmann;Uwe Stilla
施工进度监控主要是一个手动和耗时的过程，通常基于2D计划，因此需要增加自动化。在本文中，介绍了一种方法，用于比较建筑物的规划状态（按计划）从建筑信息模型（BIM）的摄影测量点云（建成）。为了完成比较，使用建筑物模型的基于三角形的表示。该方法有两个主要的处理步骤。首先，执行可见性检查以确定建筑物的元素是否可能被构建。其余部分可以归类为自由区域（绝对没有构建）或未知区域（不可见）。在第二步中，确定是否可以通过周围的点来确认潜在的构建部件。该过程首先将每个三角形分割为小的栅格单元。对于每个栅格单元，使用三个标准计算测量值：点的平均距离，它们的标准偏差和与局部平面拟合的偏差。如果足够数量的光栅单元格通过测量产生高评级，则确认三角形。该方法是基于一个真实的案例内城的情况下进行测试。只有显示明确结果的三角形才标有其状态，因为它旨在使用这些结果来推断基于BIM中建模的依赖关系的其他语句。结果表明，所建立的标记是可靠的，可以用于进一步的分析。作为一个缺点，这伴随着高百分比的模糊分类的元素，对于这些元素，所获取的数据不足以（在覆盖率和/或准确性方面）进行验证。
Construction progress monitoring is a primarily manual and time consuming process which is usually based on 2D plans and therefore has a need for an increased automation. In this paper an approach is introduced for comparing a planned state of a building (as-planned) derived from a Building Information Model (BIM) to a photogrammetric point cloud (as-built). In order to accomplish the comparison a triangle-based representation of the building model is used. The approach has two main processing steps. First, visibility checks are performed to determine whether or not elements of the building are potentially built. The remaining parts can be either categorized as free areas, which are definitely not built, or as unknown areas, which are not visible. In the second step it is determined if the potentially built parts can be confirmed by the surrounding points. This process begins by splitting each triangle into small raster cells. For each raster cell a measure is calculated using three criteria: the mean distance of the points, their standard deviation and the deviation from a local plane fit. A triangle is confirmed if a sufficient number of raster cells yield a high rating by the measure. The approach is tested based on a real case inner city scenario. Only triangles showing unambiguous results are labeled with their statuses, because it is intended to use these results to infer additional statements based on dependencies modeled in the BIM. It is shown that the label built is reliable and can be used for further analysis. As a drawback this comes with a high percentage of ambiguously classified elements, for which the acquired data is not sufficient (in terms of coverage and/or accuracy) for validation.