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Adaptive 3D Imaging and Tolerance Analysis of Prefabricated Components for Accelerated Construction

机译:加速施工预制组件的自适应3D成像和公差分析

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Tolerance analysis of prefabricated components poses challenges to effective quality control of accelerated construction projects in urban areas. In busy urban environments, accelerated construction methods quickly assemble prefabricated components to achieve workflows that are more efficient and reduce impacts of construction on urban traffic and business. Accelerated constructions also bring challenges of 'fit-up:' misalignments between components can occur due to less detailed tolerance assessments of components. Conventional tolerance checking approaches, such as manual mock-up, cannot provide detailed geometric assessments in a timely manner. This paper proposes the integration of an adaptive 3D imaging and spatial pattern analysis methods to achieve detailed and frequent 'fit-up' analysis of prefabricated components. The adaptive 3D imaging methods progressively adjust imaging parameters of a laser scanner according to the geometric complexities of prefabricated components captured in data collected so far. The spatial pattern analysis methods automatically analyze deviations of prefabricated components from as-designed models to derive tolerance networks that capture relationships between tolerances of components and identify risks of misalignments.
机译:预制组件的公差分析对城市地区加速建设项目有效控制的挑战。在繁忙的城市环境中,加速施工方法迅速组装预制组件,实现更有效,减少建设对城市交通和业务影响的工作流程。加速结构也带来了“拟计的拟计:”组件之间的未对准,由于组件不太详细的耐受性评估。传统的公差检查方法,例如手动模拟,不能及时提供详细的几何评估。本文提出了自适应3D成像和空间图案分析方法的集成,实现了预制组件的详细和频繁“拟合”分析。自适应3D成像方法根据到目前为止收集的数据中捕获的预制组件的几何复杂性逐渐调整激光扫描仪的成像参数。空间模式分析方法自动分析由设计模型的预制组件的偏差,以导出容忍网络,这些网络捕获组件公差之间的关系并识别未对准的风险。

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