Construction supervision is essential for ensuring structural safety but requires significant labor and expertise. This paper developed a 3D point cloud - RGB projection algorithm to integrate RGB and point cloud data from a depth camera, offering a lightweight and efficient solution for real-time measurements in dynamic construction sites. A real-time rebar spacing measurement system (RSMS) was developed, comprising a portable hardware setup with a depth camera and tablet, and software that overlays depth information as point clouds onto RGB images. The RSMS was tested to evaluate factors influencing measurement accuracy, including distance, angle, and rebar diameter, with results showing improved accuracy at shorter distances and for larger diameters. Laboratory and field validations addressed environmental limitations, such as uneven lighting and partial obstructions, and proposed guidelines to optimize measurement practices. These findings provide practical insights for enhancing rebar spacing measurements in construction scenarios.

中文翻译：

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用于施工质量控制的实时钢筋间距测量系统


施工监理对于确保结构安全至关重要，但需要大量的劳动力和专业知识。本文开发了一种 3D 点云 - RGB 投影算法，以集成来自深度相机的 RGB 和点云数据，为动态建筑工地的实时测量提供了一种轻量级高效的解决方案。开发了一种实时钢筋间距测量系统 （RSMS），该系统包括一个带有深度摄像头和平板电脑的便携式硬件装置，以及将深度信息作为点云叠加到 RGB 图像上的软件。对 RSMS 进行测试以评估影响测量精度的因素，包括距离、角度和钢筋直径，结果显示，在较短的距离和较大直径的情况下，精度更高。实验室和现场验证解决了环境限制，例如照明不均匀和部分障碍物，并提出了优化测量实践的指南。这些发现为在施工场景中增强钢筋间距测量提供了实用见解。