Research on Horizontal Displacement Monitoring Method of Foundation Pit Based on Machine Vision Measurement
Aiming at the problems of traditional foundation pit horizontal displacement monitoring methods such as high monitoring cost,low degree of automation,and poor data timeliness,a horizontal displacement monitoring method for foundation pits based on machine vision measurement was proposed.Use machine vision to collect real-time images of foundation pits,and then go through image preprocessing steps such as grayscale,smooth noise reduction,and image enhancement,feature extraction and key point matching are performed on the image to determine the coordinates of the target center point,then coordinate conversion and pixel ratio algorithms are used to match and calculate the position of the target pixel center point of the continuous image to achieve horizontal displacement measurement of the foundation pit.In addition,through actual measurement simulation analysis experiments,the factors affecting the monitoring accuracy of the machine vision measuring instrument were obtained,and the corresponding relationship formulas were fitted.Through actual engineering application analysis,it has been verified that machine vision measurement technology and traditional monitoring technology have a high degree of consistency in monitoring results,and a high degree of automation,providing new ideas for the application of machine vision measurement technology in displacement monitoring of foundation pits.
foundation pitmachine vision measurement technologyautomated monitoringhorizontal displacement
NETL
NSTL
万方数据
