Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Tunnel Point Cloud and BIM Model Integration for Cross-section Monitoring

Version 1 : Received: 18 November 2020 / Approved: 20 November 2020 / Online: 20 November 2020 (11:09:19 CET)

How to cite: Zhang, W.; Hao, Z.; Guo, D.; Gao, Y.; Wang, J.J. Tunnel Point Cloud and BIM Model Integration for Cross-section Monitoring. Preprints 2020, 2020110537. https://doi.org/10.20944/preprints202011.0537.v1 Zhang, W.; Hao, Z.; Guo, D.; Gao, Y.; Wang, J.J. Tunnel Point Cloud and BIM Model Integration for Cross-section Monitoring. Preprints 2020, 2020110537. https://doi.org/10.20944/preprints202011.0537.v1

Abstract

This paper introduces a method for tunnel point cloud and BIM model integration and cross-section monitoring, providing information to analyse tunnel cross-sections and surrounding rock deformation, and support for tunnel maintenance and reconstruction. Three types of data are processed for the integration: laser scanning point cloud, BIM tunnel model and terrain model from oblique photogrammetry. An adaptive BIM modelling scheme is proposed for tunnels with alien structures. Precise spatial registration of the data sets is conducted by applying singular value decomposition (SVD) algorithm to calculate transformation parameters from the point cloud model to the BIM model. Since the tunnel central line has high-order derivability, a cross-section calculation method based on tangent vector is proposed to obtain the cross-sectional profile of tunnels at any mileage. The proposed method has been verified by applying it to a tunnel reconstruction project. The experiment results show that the tunnel point cloud and the BIM model were highly coincident after the integration. The developed program can effectively get the cross-section of the tunnel at any mileage, and correctly express the spatial relationship between the BIM tunnel, the point cloud of tunnel and the external mountainous terrain.

Keywords

BIM model; point cloud; tunnel engineering; data fusion; cross-section analysis

Subject

Engineering, Civil Engineering

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