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3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge

机译:根据先验知识从激光扫描数据和3D CAD数据库对已建成的工业仪器模型进行3D重建

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摘要

In the operation and maintenance phase of industrial plants, it is important to ensure that the as-built condition of every piece of installed instrumentation, and any changes that may subsequently occur, are properly recorded and adjusted in interpretive documents. However, the manual creation of industrial instrumentation models from an acquired set of three-dimensional (3D) point clouds is difficult. This paper proposes an approach for the reconstruction of 3D models of as-built industrial instrumentation from terrestrial laser-scan data and a 3D computer-aided design (CAD) database based on prior knowledge. An experimental evaluation of an actual industrial plant demonstrates that incorporating prior knowledge into the reconstruction process greatly reduces the manual interaction required, facilitating the process of reconstructing 3D models of as-built industrial instrumentation from unstructured (raw) laser-scan data. The proposed approach could be successfully utilized to assist in the reconstruction of 3D models of as-built industrial instrumentation during the operation and maintenance phase of an industrial plant.
机译:在工厂的运行和维护阶段,重要的是要确保每个已安装仪器的建成状态以及随后可能发生的任何变化都应正确记录在解释性文件中并进行调整。但是,很难从一组采集的三维(3D)点云中手动创建工业仪器模型。本文提出了一种基于地面激光扫描数据和基于先验知识的3D计算机辅助设计(CAD)数据库重建竣工工业仪器3D模型的方法。对实际工业工厂的实验评估表明,将先验知识纳入重建过程可大大减少所需的人工交互,从而有助于从非结构化(原始)激光扫描数据重建竣工工业仪器的3D模型的过程。所提议的方法可以成功地用于在工厂的运行和维护阶段协助重建已建成的工业仪器的3D模型。

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