Next Article in Journal
Theoretical Investigation of an Alcohol-Filled Tellurite Photonic Crystal Fiber Temperature Sensor Based on Four-Wave Mixing
Previous Article in Journal
Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Previous Article in Special Issue
Voxel-FPN: Multi-Scale Voxel Feature Aggregation for 3D Object Detection from LIDAR Point Clouds
Open AccessArticle

Cross-Section Deformation Analysis and Visualization of Shield Tunnel Based on Mobile Tunnel Monitoring System

by Haili Sun 1,2,3,*, Shuang Liu 1,2, Ruofei Zhong 1,2,3,* and Liming Du 1,2
1
Beijing Advanced Innovation Center for Imaging Theory and Technology, Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, China
2
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
3
Academy for Multidisciplinary Studies, Capital Normal University, Beijing 100048, China
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(4), 1006; https://doi.org/10.3390/s20041006 (registering DOI)
Received: 25 December 2019 / Revised: 11 February 2020 / Accepted: 12 February 2020 / Published: 13 February 2020
(This article belongs to the Special Issue 3D Point Clouds for Intelligent Road Transportation Systems)
With the ongoing developments in laser scanning technology, applications for describing tunnel deformation using rich point cloud data have become a significant topic of investigation. This study describes the independently developed a mobile tunnel monitoring system called the second version of Tunnel Scan developed by Capital Normal University (CNU-TS-2) for data acquisition, which has an electric system to control its forward speed and is compatible with various laser scanners such as the Faro and Leica models. A comparison with corresponding data acquired by total station data demonstrates that the data collected by CNU-TS-2 is accurate. Following data acquisition, the overall and local deformation of the tunnel is determined by denoising and 360° deformation analysis of the point cloud data. To enhance the expression of the analysis results, this study proposes an expansion of the tunnel point cloud data into a two-dimensional image via cylindrical projection, followed by an expression of the tunnel deformation through color difference to visualize the deformation. Compared with the three-dimensional modeling method of visualization, this method is easier to implement and facilitates storage. In addition, it is conducive to the performance of comprehensive analysis of problems such as water leakage in the tunnel, thereby achieving the effect of multiple uses for a single image. View Full-Text
Keywords: point cloud data; cross-section deformation; projected images; visualization point cloud data; cross-section deformation; projected images; visualization
Show Figures

Figure 1

MDPI and ACS Style

Sun, H.; Liu, S.; Zhong, R.; Du, L. Cross-Section Deformation Analysis and Visualization of Shield Tunnel Based on Mobile Tunnel Monitoring System. Sensors 2020, 20, 1006.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop