Geological logging of tunnel surrounding rock based on multi-view geometry and image stitching

Geological logging of tunnel surrounding rock based on multi-view geometry and image stitching

Zhuang Xie Zhiheng Zhu  Jinyang Fu  Junsheng Yang  Bin Peng 

School of Civil Engineering, Central South University, Changsha 410075, China

Hunan Electric Power Design Institute Co., Ltd., Changsha 410007, China

MOE Key laboratary of Engineering Structures of Heavy Haul Railway, Changsha 410075, China

Corresponding Author Email: 
zzh8207@163.com
Page: 
43-59
|
DOI: 
https://doi.org/10.3166/ISI.23.5.43-59
Received: 
| |
Accepted: 
| | Citation

OPEN ACCESS

Abstract: 

The geological map of tunnel surrounding rock is essential to the design of dynamic construction and the stability analysis and reinforcement of rock mass. Based on computer vision technology, this paper proposes a fast and flexible method for preparing geological maps of tunnel surrounding rock. By this method, the 3D point cloud of the target tunnel was reconstructed from multiple photos using the multi-view geometry principles; then, the orthographic projection model of the tunnel was determined from the spatial point cloud through 3D surface estimation; after that, each photo on surrounding rock was subjected to geometric correction based on the relative position between cameras and orthographic projection model; finally, the orthographic display maps of the chamber wall and tunnel face were obtained by stitching the corrected photos. The image processing software inspired by this method can automatically generate the geological map on the tunnel surrounding rock in each work cycle based on the set of photos shot freely from multiple angles. Through engineering application, it is proved that the proposed method outperforms the existing tunnel geological logging methods in terms of the flexibility and efficiency of field shooting, as well as the universality and intuitiveness of the automatically generated geological maps on tunnel surrounding rock. The research findings provide an intuitive reference for tunnel construction design and boast profound significance in engineering application.

Keywords: 

tunnel construction, computer vision, photographic geological logging

1. Introduction
2. Field shooting of tunnel excavation face
3. 3D point cloud reconstruction of tunnel excavation face
4. Construction and identification of orthographic projection model of tunnel excavation face
5. Geometric correction and stitching of photos
6. Conclusions
Acknowledgement

This work is supported by Project of National Key R & D Plan (No.2016YFC0802504); Project of National Natural Science Foundation of China (No.51608539); Project of China Postdoctoral Science Foundation (No.2016M592451, No. 2017T100610); Science and Technology Project of Guizhou Provincial Transportation Department (No.2018-133-042, No.2018-123-040).

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