Multi-sensor fusion detection technology for elliptical glass curtain wall defects based on improved least squares method
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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。
Abstract: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.
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Table 1 传感器参数配置
参数项目 参数配置 额定荷载 1/2额定量程 允许使用负荷/% 130~140 重复性/mv 0.5 蠕变恢复/s 5~10 使用温度/ ℃ -40~250 温度补偿/℃ -10±55 激励电压/V 5~10 系数温漂/℃ <10 
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