Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Foundation pit slope deformation monitoring method based on multi-source image recognition
The invention relates to the technical field of foundation pit slope monitoring, in particular to a foundation pit slope deformation monitoring method based on multi-source image recognition. The method comprises the following steps: S1, carrying out the installation of an artificial target spot at a monitoring reference point, and shooting the monitoring reference point and the artificial target spot through the five-direction flight of an unmanned aerial vehicle; s2, collecting multi-source image data of an area to be monitored, and preprocessing the collected multi-source image data; s3, extracting contour information of the slope in the image from the fused image data based on a Canny edge detection algorithm; s4, analyzing the fused multi-source image data based on an optical flow model, and tracking the motion trail of the slope surface feature points; s5, quantizing the fused multi-source image data; and S6, based on a deformation quantification result, when the monitored deformation exceeds a threshold value, immediately starting an early warning mechanism. The information layer fusion algorithm after introduction of the space-time fusion constraint can effectively analyze changes in a continuous image sequence and monitor the movement and deformation of the slope.
本发明涉及基坑边坡监测技术领域，具体地说，涉及基于多源图像识别的基坑边坡变形监测方法。其包括以下步骤：S1、在监测基准点进行人工靶点的安装，并利用无人机五向飞行对监测基准点和人工靶点进行拍摄；S2、采集待监测区域的多源图像数据，并对收集到的多源图像数据进行预处理；S3、基于Canny边缘检测算法从融合后的图像数据中提取边坡在图像中的轮廓信息；S4、基于光流模型对融合后的多源图像数据进行分析，追踪边坡表面特征点的运动轨迹；S5、对融合后的多源图像数据进行量化；S6、基于变形量化结果，当监测到的变形超过阈值时，立即启动预警机制。引入时空融合约束后的信息层融合算法可有效分析连续的图像序列中的变化，监测边坡的移动和变形。
Foundation pit slope deformation monitoring method based on multi-source image recognition
The invention relates to the technical field of foundation pit slope monitoring, in particular to a foundation pit slope deformation monitoring method based on multi-source image recognition. The method comprises the following steps: S1, carrying out the installation of an artificial target spot at a monitoring reference point, and shooting the monitoring reference point and the artificial target spot through the five-direction flight of an unmanned aerial vehicle; s2, collecting multi-source image data of an area to be monitored, and preprocessing the collected multi-source image data; s3, extracting contour information of the slope in the image from the fused image data based on a Canny edge detection algorithm; s4, analyzing the fused multi-source image data based on an optical flow model, and tracking the motion trail of the slope surface feature points; s5, quantizing the fused multi-source image data; and S6, based on a deformation quantification result, when the monitored deformation exceeds a threshold value, immediately starting an early warning mechanism. The information layer fusion algorithm after introduction of the space-time fusion constraint can effectively analyze changes in a continuous image sequence and monitor the movement and deformation of the slope.
本发明涉及基坑边坡监测技术领域，具体地说，涉及基于多源图像识别的基坑边坡变形监测方法。其包括以下步骤：S1、在监测基准点进行人工靶点的安装，并利用无人机五向飞行对监测基准点和人工靶点进行拍摄；S2、采集待监测区域的多源图像数据，并对收集到的多源图像数据进行预处理；S3、基于Canny边缘检测算法从融合后的图像数据中提取边坡在图像中的轮廓信息；S4、基于光流模型对融合后的多源图像数据进行分析，追踪边坡表面特征点的运动轨迹；S5、对融合后的多源图像数据进行量化；S6、基于变形量化结果，当监测到的变形超过阈值时，立即启动预警机制。引入时空融合约束后的信息层融合算法可有效分析连续的图像序列中的变化，监测边坡的移动和变形。
Foundation pit slope deformation monitoring method based on multi-source image recognition
基于多源图像识别的基坑边坡变形监测方法
YIN PINGBAO (Autor:in) / LIN JUN (Autor:in) / KUANG YICHENG (Autor:in) / LUO RENKUN (Autor:in) / HE WEI (Autor:in) / JIA ZHUO (Autor:in) / YIN BANGLI (Autor:in) / LI YIDE (Autor:in)
12.07.2024
Patent
Elektronische Ressource
Chinesisch
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