摘要
地铁基坑具有区域差异大、危险性强以及影响范围广等特点,远程动态监测是安全建设的重要前提。运用摄像测量融合感知技术提出了适用于基坑施工与开挖过程中支挡结构位移变形监测方法。首先通过激光测距获取目标点坐标参数,建立三维点云模型;进而采用SIFT图像匹配特征算法拾取图像关键特征部位,将数字图像与激光点云数据融合,得到面域可视化图像测量模型,并依此建立二元矩阵对预警结果综合研判。以福州滨海快线1标段东升停车场基坑工程验证表明,基坑监测设计是坑内结构变形反演逐步深入的过程,该方法可有效提高地表变形监测预警精度。
Subway excavations present significant challenges due to their regional variability,potential hazards,and wide impact area,making remote dynamic monitoring a crucial prerequisite for safe construction.This paper introduces a method for monitoring the displacement and deformation of support structures during excavation and construction processes,utilizing camera measurement technology integrated with sensory perception.Initially,target point coordinates are obtained through laser ranging to establish a three-dimensional point cloud model.Subsequently,the Scale-Invariant Feature Transform(SIFT)image matching algorithm is employed to identify key image features.These features are then merged with laser point cloud data to create a surface domain visual image measurement model.A binary matrix is constructed based on this model to synthesize judgments for early warnings.Validation of this method through its application to the Dongsheng parking structure project in the Fuzhou Binhai Express Line Section 1 confirms that monitoring pit excavations is a gradually intensifying process of inferring internal structural deformations,and the presented method significantly enhances the precision of surface deformation monitoring and early warning systems.
作者
陈晨
林文
张鑫
CHENG Chen;LIN Wen;ZHANG Xin(Fujian HC Technology of Internet of things Co.Ltd,Fuzhou 350000)
出处
《福建建筑》
2023年第12期77-83,共7页
Fujian Architecture & Construction
关键词
激光点云
图像特征匹配
基坑监测
Laser point cloud
Image feature matching
Foundation pit monitoring
