首页|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

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

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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.
Multi-sensor fusion detection technology for elliptical glass curtain wall defects based on improved least squares method
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.

glass curtain walldefect detectionmulti-sensor fusiondetection technologyimproved least squares method

田江云、温欣、刘旭东、乔世行

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中铁二十二局集团有限公司,北京 100000

广州铁路投资建设集团有限公司,广州 510000

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

2024

无损检测
中国机械工程学会 上海材料研究所

无损检测

CSTPCD
影响因子:0.558
ISSN:1000-6656
年,卷(期):2024.46(1)
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