Displacement is an important measurement for the assessment of structural conditions, but its field measurement is often hindered by difficulties associated with sensor installation and measurement accuracy. To overcome the disadvantages of conventional displacement measurement, computer vision (CV)-based methods have been implemented due to their remote sensing capabilities and accuracy. This paper presents a strategy for non-target structural displacement measurement that makes use of CV to avoid the need to install a target on the structure while calibrating the displacement using structured light. The proposed system called as LAVOLUTION calculates the relative position of the camera with regard to the structure using four equally spaced beams of structured light and obtains a scale factor to convert pixel movement into structural displacement. A jig for the four beams of structured light is designed and a corresponding alignment process is proposed. A method for calculating the scale factor using the designed jig for tunable structured-light is proposed and validated via numerical simulations and lab-scale experiments. To confirm the feasibility of the proposed displacement measurement process, experiments on a shaking table and a full-scale bridge are conducted and the accuracy of the proposed method is compared with that of a reference laser doppler vibrometer.
翻译:迁移是评估结构条件的重要衡量标准,但其实地测量往往受到传感器安装和测量精确度困难的阻碍。为了克服常规迁移测量的缺点,由于遥感能力和准确性,采用了基于计算机视像(CV)的方法。本文件提出了非目标结构迁移测量战略,利用CV避免在结构结构设置目标,同时使用结构化光来校准迁移时,在结构化结构时使用结构化光标校准结构迁移; 称为LaVOLUtion的拟议系统,用四个同等空间光束计算相机相对于结构结构结构结构的相对位置,并获得将像素移动转换成结构迁移的尺度系数。设计了四个结构化光束的拼图,并提出了相应的校准程序。建议了一种使用为金枪鱼结构光设计的缩图来计算比例因素的方法,通过数字模拟和实验室规模实验加以验证。为了证实拟议的迁移测量过程的可行性,在震动表和全面桥梁上进行了试验,并将拟议方法的精确性与参考激光杜普列柱仪进行了比较。