土木工程与管理学报2025，Vol.42Issue(1)：59-65,80,8.DOI:10.13579/j.cnki.2095-0985.2025.20240220
预制构件叠合面粗糙度机器视觉检测方法及装置开发
Machine Vision Detection Method and Device Development for Laminated Surface Roughness of Precast Component
摘要
Abstract
The roughness of the laminated surface plays a crucial role in ensuring good connection performance between new and existing concrete.Although standards have made clear requirements for the roughness value,a specific detection method has yet to be provided.At present,common rough-ness detection methods such as sand filling,bathymetric,digital image and three-dimensional laser scanning are plagued by issues including high costs,low accuracy,which is inconsistent with the de-velopment of the intelligent construction.This paper proposes a machine vision inspection method for roughness detection of the laminated surface.Firstly,use a depth camera to capture the point cloud on the laminated surface.Subsequently,segment the point cloud and calculate the datum equation.Fol-lowing the calculation,the roughness value is determined.Based on this method,a portable and intel-ligent roughness detection device is developed,and tests are carried out on practical engineering.Compared with the bathymetric ruler method,the results show that the detection method has high ac-curacy and efficiency.The proposed datum surface computation method is feasible.Furthermore,the developed detection device can be directly applied in the intelligent management of the quality of pre-fabricated components.关键词
智能建造/叠合面/粗糙度/基准面/机器视觉Key words
intelligent construction/laminated surface/roughness/datum surface/machine vision分类
建筑与水利引用本文复制引用
陈隽,范泽楷,梅长周,王卓琳..预制构件叠合面粗糙度机器视觉检测方法及装置开发[J].土木工程与管理学报,2025,42(1):59-65,80,8.基金项目
国家自然科学基金联合基金重点项目(U1711264) （U1711264）
