Condition assessment of structures supports effective repair, restoration or reconstruction works on buildings of infrastructural or cultural importance and is therefore an important contribution to building and infrastructure sustainability. Due to increasing ageing and external influences continuous monitoring is obligatory to maintain the structures. Throughout the entire life cycle, digital scans of changing damages and the building geometry, up to the degree of a digital twin, can be acquired using modern inspection methods. This allows for the automation of condition assessment processes to locate, quantify and predict damage progression at a structure related to building information models. However, the usual inspection documentation as performed in the past neither includes an assignment of damages to digital building models nor relates the history of recordings to a damage entity, which consequently makes a direct condition state comparison unfeasible.

The paper presents voxel based methods for the automated assignment of geometrical representations of damages to elements of a corresponding building model as well as to past damage scans, which describe the same damage entity. Furthermore, the comparison and computation of discrete geometric changes based on the assignments is shown. Additionally, the clustering of scanned damage geometries into interest areas for the usage in planning processes for further inspections is presented. The resulting set of methods enables an automated condition comparison of damages on each surveyed state of the structure and supports the integration of inspection data to building information models.

对结构的状态评估可支持对具有基础设施或文化重要性的建筑物进行有效的维修，修复或重建工作，因此对建筑物和基础设施的可持续性具有重要意义。由于老化和外部影响的增加，必须对结构进行连续监测。在整个生命周期中，可以使用现代检查方法来获取变化的损坏和建筑物几何形状的数字扫描，甚至达到数字双胞胎的程度。这允许状态评估过程的自动化，以在与建筑信息模型相关的结构上定位，量化和预测损坏的进展。然而，

本文提出了一种基于体素的方法，用于将损坏的几何表示自动分配给相应建筑模型的元素以及过去的损坏扫描（描述相同的损坏实体）。此外，还显示了基于分配的离散几何变化的比较和计算。此外，还介绍了将扫描的损坏几何形状聚类为感兴趣的区域，以用于计划过程进行进一步检查的情况。生成的方法集能够对结构的每个被调查状态下的损坏进行自动条件比较，并支持将检查数据集成到建筑物信息模型中。