Research on Accurate Measurement of Convergence of Subway Tunnel Sections Based on Multi-source Data Fusion
In order to accurately measure the convergence deformation of subway tunnel sections,a precise measurement method for subway tunnel section convergence based on multi-source data fusion is proposed.This method uses a laser scanner and a total station to collect the point cloud data and elevation data of the tunnel section.After the collected tunnel multi-source data is fused through the Federated Learning Algorithm,the fused data is processed by batch slicing using the tunnel structure centerline method,and the subway tunnel section is quickly extracted.On this basis,the independent plane coordinates of the tunnel section are constructed after conversion,and the difference between the tunnel radius result and the design result is fitted to obtain the convergence deformation of the cross-section.The test results show that this method has good tunnel data collection ability,and effectively completes the calculation of tunnel section ellipticity based on the collection results,the fitting of the tunnel cross-section,and calculates the deformation at different angles of the tunnel.When the angles are around 90 ° and 350 °,the convergence deformation of the cross-section is the largest,with the maximum value reaching 30.1mm.
multi-source data fusionsubway tunnelscross-section convergenceaccurate measurementslicing treatmenttunnel fitting