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Pile foundation deformation detection method and system based on digital speckles
The invention discloses a pile foundation deformation detection method and system based on digital speckles, and the method comprises the steps: obtaining a left group of speckle image series and a right group of speckle image series of a detected pile foundation, and carrying out the preprocessing; decomposing a first image of the processed first group of speckle image series into sub-regions by using sub-region matching; performing stereo matching by using an accelerated-version feature algorithm with robust characteristics, and determining the position of a corresponding sub-region in the first image of the second group of speckle image series; performing time sequence matching by using a phase correlation method to obtain two groups of initial displacement values; solving a zero-mean normalized minimum distance square standard for the initial displacement value by using an inverse synthesis Gaussian-Newton iteration method, and carrying out iterative optimization to obtain two groups of accurate displacements; displacement field calculation is carried out on the accurate displacement, and image displacement is converted into actual displacement; the actual strain value of the measured pile foundation is determined according to the actual displacement; the large deformation of the pile foundation can be measured, the requirement for the measuring environment is not high, cost is low, and operation is convenient.
本发明公开了一种基于数字散斑的桩基变形检测方法及系统，包括：获取被测桩基左右两组散斑图像系列，进行预处理；使用子区匹配将处理后的第一组散斑图像系列的第一个图像分解为子区；使用加速版的具有鲁棒特性的特征算法进行立体匹配，确定第二组散斑图像系列的第一图像中相应子区的位置；使用相位相关法进行时序匹配，得到两组位移初值；对位移初值使用逆合成高斯‑牛顿迭代法求解零均值归一化最小距离平方标准，进行迭代优化，得到两组精确位移；对精确位移进行位移场计算，将图像位移转换成实际的位移；根据实际的位移确定被测桩基的实际应变值；本发明能够测量桩基大的形变，对测量环境要求不高，成本低，操作方便。
Pile foundation deformation detection method and system based on digital speckles
The invention discloses a pile foundation deformation detection method and system based on digital speckles, and the method comprises the steps: obtaining a left group of speckle image series and a right group of speckle image series of a detected pile foundation, and carrying out the preprocessing; decomposing a first image of the processed first group of speckle image series into sub-regions by using sub-region matching; performing stereo matching by using an accelerated-version feature algorithm with robust characteristics, and determining the position of a corresponding sub-region in the first image of the second group of speckle image series; performing time sequence matching by using a phase correlation method to obtain two groups of initial displacement values; solving a zero-mean normalized minimum distance square standard for the initial displacement value by using an inverse synthesis Gaussian-Newton iteration method, and carrying out iterative optimization to obtain two groups of accurate displacements; displacement field calculation is carried out on the accurate displacement, and image displacement is converted into actual displacement; the actual strain value of the measured pile foundation is determined according to the actual displacement; the large deformation of the pile foundation can be measured, the requirement for the measuring environment is not high, cost is low, and operation is convenient.
本发明公开了一种基于数字散斑的桩基变形检测方法及系统，包括：获取被测桩基左右两组散斑图像系列，进行预处理；使用子区匹配将处理后的第一组散斑图像系列的第一个图像分解为子区；使用加速版的具有鲁棒特性的特征算法进行立体匹配，确定第二组散斑图像系列的第一图像中相应子区的位置；使用相位相关法进行时序匹配，得到两组位移初值；对位移初值使用逆合成高斯‑牛顿迭代法求解零均值归一化最小距离平方标准，进行迭代优化，得到两组精确位移；对精确位移进行位移场计算，将图像位移转换成实际的位移；根据实际的位移确定被测桩基的实际应变值；本发明能够测量桩基大的形变，对测量环境要求不高，成本低，操作方便。
Pile foundation deformation detection method and system based on digital speckles
一种基于数字散斑的桩基变形检测方法及系统
LIU HAILONG (author) / CUI CHUNYI (author) / WANG SHIRUI (author) / XU LINA (author) / FU SHAOJUN (author) / LIU FANG (author) / LI GANG (author)
2024-07-02
Patent
Electronic Resource
Chinese
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