Prototype pipeline modelling using interval scanning point clouds

IF 4.2 2区工程技术 Q2 ENGINEERING, MANUFACTURING

Advances in Manufacturing Pub Date : 2024-08-07 DOI:10.1007/s40436-024-00515-y

Toa Pečur, Frédéric Bosché, Gabrielis Cerniauskas, Frank Mill, Andrew Sherlock, Nan Yu

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Abstract

With the aid of computer aided design (CAD) and building information modelling (BIM), as-built to as-designed comparison has seen many developments in improving the workflow of manufacturing and construction tasks. Recently, evolution has been centred around automation of scene interpretation from three-dimensional (3D) scan data. The scope of this paper is to assess assemblies as the installation process progresses and inferring if arising deviations are problematic (complex task). The adequacy of utilising unorganised point clouds to compliance check are trialled with a real life down-scaled prototype model in conjunction with a synthetic dataset. This work aims to highlight areas where large rework could be avoided, in part by the detection of potential clashes of components early in the pipeline installation process. With the help of an extracted model in the form of a point cloud generated from a scanned physical model and a 3D CAD model representing the nominal geometry, an operator can be made visually aware of potential deviations and component clashes during a pipeline assembly process.

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利用区间扫描点云进行管道原型建模

在计算机辅助设计（CAD）和建筑信息模型（BIM）的帮助下，"竣工 "与 "设计 "的对比在改进制造和施工任务的工作流程方面取得了许多进展。最近的发展主要围绕从三维（3D）扫描数据进行场景解读的自动化。本文的研究范围是在安装过程中对装配进行评估，并推断出出现的偏差是否有问题（复杂的任务）。利用现实生活中的缩小原型模型和合成数据集，对利用无组织点云进行合规性检查的适当性进行了试验。这项工作旨在突出可避免大量返工的区域，部分方法是在管道安装过程的早期检测潜在的部件冲突。借助从扫描物理模型和代表标称几何形状的 3D CAD 模型中生成的点云形式的提取模型，操作员可以直观地了解管道装配过程中的潜在偏差和组件冲突。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Manufacturing Materials Science-Polymers and Plastics

CiteScore

9.10

自引率

3.80%

发文量

274

期刊介绍： As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field. All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.