激光点云在建筑预制构件检测中的应用研究-工程学研究-CSCIED科技核心评价数据库-手机版

激光点云在建筑预制构件检测中的应用研究

Research on the application of laser point cloud in the detection of prefabricated building components

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DOI	10.12208/j.jer.20250354
刊名	工程学研究 Journal of Engineering Research
年，卷(期)	2025, 4(8)
作者	陶肖静,
作者单位	上海中侨职业技术大学上海
摘要	随着双碳目标的提出，国家鼓励建筑行业向绿色转型，推动装配式建筑的发展。三维激光雷达等三维点云技术的应用逐渐增多，因其无接触、高精度的特点，在建筑构件检测中发挥重要作用。本文系统探讨了三维点云技术在建筑构件检测中的应用，包括点云的特征、数据处理方法及深度学习技术的结合，点云数据具有数据量大、离散性、非规则性和光学特征等特性，这些特征为构件尺寸测量提供了基础。通过点云匹配法、特征提取、分割技术和深度学习方法，可以显著提高检测的准确性和效率。本文旨在为建筑行业相关从业人员提供一些建议。
Abstract	With the proposal of the dual carbon goal, the state encourages the construction industry to transform to green and promotes the development of prefabricated buildings. The application of 3D point cloud technology such as 3D lidar is gradually increasing, and it plays an important role in the detection of building components because of its non-contact and high-precision characteristics. This paper systematically discusses the application of 3D point cloud technology in the detection of building components, including the combination of point cloud characteristics, data processing methods and deep learning technology. Through point cloud matching method, feature extraction, segmentation technology and deep learning methods, the accuracy and efficiency of detection can be significantly improved. The purpose of this article is to provide some advice for those involved in the construction industry.
关键词	激光点云；建筑预制构件检测；深度学习；双碳目标
KeyWord	Laser point clouds; Inspection of prefabricated building components; Deep learning; Carbon peaking and carbon neutrality goals
基金项目
页码	18-20

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引用本文

陶肖静. 激光点云在建筑预制构件检测中的应用研究 [J]. 工程学研究. 2025; 4; (8). 18 - 20.

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