多视域下基于全息性态特征的索力测试方法研究  

Research on Multiview Holographic 3D Display Based Cable Force Testing Method

作　　者：刘辉 邵帅 黄欢 LIU Hui;SHAO Shuai;HUANG Huan(Guangdong Transportation Construction Engineering Quality Inspection Center,Guangzhou 510420,China;Chongqing Aerospace Polytechnic,Chongqing 400021,China;State Key Laboratory of Mountain Bridge and Tunnel Engineering,Chongqing 400074,China)

机构地区：[1]广东省交通运输建设工程质量检测中心,广东广州510420 [2]重庆航天职业技术学院,重庆400021 [3]山区桥梁及隧道工程国家重点实验室,重庆400074

出　　处：《世界桥梁》2022年第6期59-66,共8页World Bridges

基　　金：国家自然科学基金项目(51778094);重庆市教委科学技术研究重点项目(KJZD-K202203001)。

摘　　要：为精确高效地进行大型斜拉桥拉索索力机器视觉测量,提出了多视域下基于全息性态特征的索力测试新方法,并进行室内试验和现场测试验证。该方法采用全息视觉传感器系统进行拉索视觉数据采集,基于被测目标像素特性,构造像素转换与位置映射矩阵进行像素增强,通过等高线云图闭环阈值分割逐次解析复杂测试场景下拉索空间几何构型,进而量化分析全息性态特征点集参数计算索力。以室内钢丝绳模型索以及主跨445 m的重庆东水门长江大桥斜拉索为测试对象,进行了拉索空间几何构型及误差分析,并计算拉索索力。结果表明:该方法可有效提高机器视觉架构下拉索几何构型以及大规模索力测试的计算效率与精度,室内模型索索力测试最大误差2.98%,均方根误差1.05%;现场斜拉索索力测试最大误差4.37%,均方根误差2.79%,验证了该方法的有效性与稳定性,可应用于复杂测试场景下拉索索力高频次、快速测试。A new method to test cable forces that is based on multiview holographic 3 D display is proposed,which is expected to efficiently perform non-contact visual measurement of stay cable forces of the long-span cable-stayed bridge.Laboratory and field tests were conducted to verify the effectiveness of the method.Cable forces data were collected via the multiview holographic visual sensor system.Based on the characteristics of the measured target pixels,pixel transformation and position mapping matrix were constructed to enhance the pixels.The spatial geometric configurations of cables in complex test scenarios were analyzed,and then the point parameters of multiview holographic images were quantitatively analyzed for cable force calculation.Taking laboratory model cable and the stay cables of Dongshuimen Changjiang River Bridge in Chongqing with a main span of 445 m as test objects,the spatial geometric configuration of stay cables were tested,and the calculation accuracy of cable forces caused by test errors was discussed and analyzed.The experimental results demonstrated that the method presented can effectively improve the computational efficiency and accuracy of cable geometry configuration and large-scale cable force testing under machine vision framework.The maximum error and the root mean square error of laboratory model cable force test are 2.98% and 1.05%,respectively,and the maximum error and the root mean square error of field cable force test are 4.37% and 2.79%,respectively,proving the effectiveness and stability of the method.The method provides a new way for high-frequency and fast cable force measurement of cable-stayed bridge in complex test scenarios.

关 键 词：斜拉桥 斜拉索 索力测试 多视域 全息性态特征 机器视觉 室内试验 现场测试 

分 类 号：U448.27[建筑科学—桥梁与隧道工程] U446[交通运输工程—道路与铁道工程]