自动检测3D打印混凝土纤维的几何质量，支持实时与事后质检
Deep Filament Extraction for 3D Concrete Printing
- 基于通用传感器数据，实现无设备依赖的纤维提取与质量评估
- 适用于新鲜态与固化态混凝土，覆盖打印中与打印后全流程质检
- 可推广至多种3D打印工艺，提升建筑结构精度与可靠性
建筑、工程与施工（AEC）行业正持续演进，以应对可持续且高效的建筑环境设计与建造需求。文献中主要描述了两种大规模3D混凝土打印（3DCP）沉积技术：基于挤出的连续打印（Contour Crafting-CC）与喷射混凝土3D打印（SC3DP）。这些方法通过数字控制喷嘴逐层沉积材料，连续流动的混凝土称为纤维或层。由于纤维是定义打印结构的关键要素，其几何质量控制至关重要。本文提出一种针对挤出式与SC3DP打印方法的自动化纤维质量控制（QC）流程。该方法不依赖特定传感器，可适配相机、结构光系统（SLS）或地面激光扫描仪（TLS）获取的数据。该方法可用于新鲜态或固化态材料，支持在线与打印后质量检测。
原文摘要 · Abstract (English)
The architecture, engineering and construction (AEC) industry is constantly evolving to meet the demand for sustainable and effective design and construction of the built environment. In the literature, two primary deposition techniques for large-scale 3D concrete printing (3DCP) have been described, namely extrusion-based (Contour Crafting-CC) and shotcrete 3D printing (SC3DP) methods. The deposition methods use a digitally controlled nozzle to print material layer by layer. The continuous flow of concrete material used to create the printed structure is called a filament or layer. As these filaments are the essential structure defining the printed object, the filaments' geometry quality control is crucial. This paper presents an automated procedure for quality control (QC) of filaments in extrusion-based and SC3DP printing methods. The paper also describes a workflow that is independent of the sensor used for data acquisition, such as a camera, a structured light system (SLS) or a terrestrial laser scanner (TLS). This method can be used with materials in either the fresh or cured state. Thus, it can be used for online and post-printing QC.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。