摘要
针对常规椭圆形玻璃幕墙缺陷多传感器融合检测的结果误差较大的问题,提出基于改进最小二乘法的椭圆形玻璃幕墙缺陷多传感器融合检测技术。在分析椭圆形玻璃幕墙受力点处应力值和反差增强分组传感器检测数据信号而获取缺陷部位的初始拟合曲线后,采用改进最小二乘法拟合缺陷部位立体位置曲线,融合缺陷检测图像得到检测结果。试验结果表明:应用该方法得出的检测累积误差平均值为0.07,可满足椭圆形玻璃幕墙缺陷的检测要求。
A multi-sensor fusion detection technology for elliptical glass curtain wall defects based on improved least squares method was proposed to address the issue of significant errors in the detection results of conventional multi-sensor fusion detection for elliptical glass curtain wall defects.After analyzing the stress value and contrast enhancement of the grouped sensor detection data signal at the force point of the elliptical glass curtain wall to obtain the initial fitting curve of the defect location,the improved least squares method was used to fit the three-dimensional position curve of the defect location,and the defect detection images were fused to obtain the detection results.The experimental results demonstrated that the defect detection results of elliptical glass curtain walls obtained by the proposed method showed an average detection accumulative error of 0.07,which can meet the defect detection requirements of elliptical glass curtain walls.
作者
田江云
温欣
刘旭东
乔世行
TIAN Jiangyun;WEN Xin;LIU Xudong;QIAO Shixing(China Railway 22 Bureau Group Co.,Ltd.,Beijing 100000,China;Guangzhou Railway Investment and Construction Group Co.,Ltd.,Guangzhou 510o00,China)
出处
《无损检测》
CAS
2024年第1期28-32,共5页
Nondestructive Testing
关键词
玻璃幕墙
缺陷检测
多传感器融合
检测技术
改进最小二乘法
glass curtain wall
defect detection
multi-sensor fusion
detection technology
improved least squares method
作者简介
田江云(1983-),男,本科,高级工程师,主要研究方向为建筑施工技术;通信作者:刘旭东,357466563@qq.com。
