Research On Building Deformation Monitoring Method Based On UAV

With the rapid development of China's economy,urban land resources are becoming saturated,underground space is continuously expanded.Therefore,more and more security incidents caused by building deformation and it is important to regularly monitor the deformation of buildings.At present,the method of building deformation monitoring is always based on traditional means,which is impossible to obtain real-time information quickly and intuitively.At the same time,most of them need an open monitoring environment,but the volume ratio of buildings in cities is getting higher and higher.So it is significance to improve the monitoring technology of building deformation.Based on the review of the relevant theories and research status of building deformation monitoring,this thesis summarizes the deformation mechanism of buildings and compares the existing monitoring methods.A new displacement measurement method based on UAV image technology was proposed.The Pix4 Dmapper software is used to establish a point cloud model,and the regional growth segmentation principle is applied to point cloud segmentation to obtain.The point cloud information of the point is identified,and a method combining the point cloud bounding box and the fitting plane is proposed based on MATLAB for solving the marker point center point.Finally,in order to verify the effectiveness of the method,experiments based on the building model were carried out with UAV,total station and 3D laser scanner.The error sources of the three methods were compared and analyzed through experimental results.According to the results,the measurement accuracy of the UAV image technology based on the marker point is close to 3D laser scanner,and the marker with larger radius has higher vertical displacement accuracy.Compared with the measurement results of the total station,the method is mainly applicable to the measurement accuracy of the third and fourth,and can be used for routine rapid monitoring.Therefore,the research results of thesis are intended to help the monitoring personnel to obtain the safety status of the building more intuitively and quickly,enrich the method of building deformation monitoring,and provide a new application angle for the engineering safety management of the drone image.