支持基于web的建筑工地监控协作

Andreas Dietze, Yvonne Jung, P. Grimm
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引用次数: 1

摘要

在建筑工地经常可以发现与原始蓝图的偏差。为了方便地识别此类结构修改,本文提出了一个用于施工现场监控的智能数字孪生,该孪生支持与外部专家进行基于网络的协作,以讨论可能需要的解决方案。因此,设计了一个系统管道,可以自动检测和可视化实际数据与规划数据之间的偏差。此外,该管道允许使用原始规划数据和3D扫描的真实数据生成交互式差异可视化。后者是使用具有ar功能的移动设备或头戴式设备(如微软HoloLens)记录的,而上述差异是通过基于点云的算法获得的。然后在各自的客户机上强调实际数据和规划数据之间的差异,客户机使用X3DOM进行可视化。除了管道的服务器部分之外,该应用程序还包括几个客户端,这些客户端可以在不同的利益相关者之间进行协作讨论,例如为现场的工匠提供基于ar的移动查看器,为家中的建筑物所有者或建筑师提供基于web的查看器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supporting Web-based Collaboration for Construction Site Monitoring
Deviations from the original blueprints could often be found on building sites. To easily identify such constructional modifications, this paper proposes a smart digital twin for construction site monitoring that supports web-based collaboration with external experts to discuss possibly required solutions to this problem. Therefore, a system pipeline was designed that allows automatic detection and visualization of deviations between real and planning data. In addition, the pipeline allows generating an interactive difference visualization that uses the original planning data as well as the 3D scanned real data. The latter is recorded using an AR-capable mobile device or headset like the Microsoft HoloLens, whereas the mentioned differences are obtained via a point-cloud-based algorithm. The differences between real and planning data are then emphasized on the respective client, which uses X3DOM for visualization. Besides the server part of the pipeline, the application consists of several clients that enable a collaborative discussion between the various stakeholders, such as an AR-based mobile viewer for the craftsman on site and a web-based viewer for the building owner at home or the architect.
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