Method for Tunnel Displacements Calculation Based on Mobile Tunnel Monitoring System

Yue, Zeyu; Sun, Hao; Zhong, Rugang; Du, Liming

doi:10.3390/s21134407

Cited by 22 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of WIA-PA technology will help to reduce the risks of the production and use of enterprise-related products, ensure industrial safety, and promote the realization of industrial energy conservation and emission reduction targets. Multiple WIA networks can form large-scale complex networks through Ethernet interconnection [14]. The 3G information is sent by the monitoring center to the 3G terminal equipment supplier through the Internet network, then to the 3G public network by the supplier's server, and finally to the 3G terminal equipment by the 3G public network [15].…”

Section: Methodsmentioning

confidence: 99%

An Analysis of Internet of Things Computer Network Security and Remote Control Technology

Zhao

Wang

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In order to solve the problem of the specific application of Internet of Things computer network security monitoring technology in infrastructure construction, a method of remote network monitoring system design is proposed, taking tunnel security construction as an example. According to the characteristics of construction tunnel safety monitoring, this method provides theoretical guidance from several aspects, such as computer remote monitoring, data decision analysis, safety control, personnel positioning, and data management. Through experiments, it is found that in the safety detection experiment, when the data is extracted within 2 minutes for detection, the detection accuracy is higher than 80%, and if it is 4 minutes, the detection accuracy is higher than 90%; in the response time test, the local control response time is generally less than 1 s. In the remote control response time test, the response time can generally be within 3 s, and it may be greater than 5 s. The designed construction tunnel monitoring system transmits the collected data to the monitoring terminal remotely. Then, the sensor data is analyzed for timing decision-making. This method can effectively calculate the safety status of each monitoring unit of the current tunnel according to a certain algorithm and formulate corresponding emergency measures according to the safety status.

show abstract

Section: Methodsmentioning

confidence: 99%

An Analysis of Internet of Things Computer Network Security and Remote Control Technology

Zhao

Wang

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…In order to obtain both tunnel lining features ( Figure 2 a) and depth information of the spalling defects, an integrated MLS system [ 56 , 57 ] was adopted to collect the point cloud data of railway tunnel linings in Yunnan province, China ( Figure 2 b). The MLS system used in this study comprises a Z+F PROFILER 9012 laser scanner, an electrical motor driven trolley, a laptop, two batteries (24VDC), and other necessary accessories ( Figure 2 c).…”

Section: Data Acquisition and Dataset Establishmentmentioning

confidence: 99%

A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information

Zhou

Cheng

Huang

et al. 2021

Sensors

View full text Add to dashboard Cite

The detection of concrete spalling is critical for tunnel inspectors to assess structural risks and guarantee the daily operation of the railway tunnel. However, traditional spalling detection methods mostly rely on visual inspection or camera images taken manually, which are inefficient and unreliable. In this study, an integrated approach based on laser intensity and depth features is proposed for the automated detection and quantification of concrete spalling. The Railway Tunnel Spalling Defects (RTSD) database, containing intensity images and depth images of the tunnel linings, is established via mobile laser scanning (MLS), and the Spalling Intensity Depurator Network (SIDNet) model is proposed for automatic extraction of the concrete spalling features. The proposed model is trained, validated and tested on the established RSTD dataset with impressive results. Comparison with several other spalling detection models shows that the proposed model performs better in terms of various indicators such as MPA (0.985) and MIoU (0.925). The extra depth information obtained from MLS allows for the accurate evaluation of the volume of detected spalling defects, which is beyond the reach of traditional methods. In addition, a triangulation mesh method is implemented to reconstruct the 3D tunnel lining model and visualize the 3D inspection results. As a result, a 3D inspection report can be outputted automatically containing quantified spalling defect information along with relevant spatial coordinates. The proposed approach has been conducted on several railway tunnels in Yunnan province, China and the experimental results have proved its validity and feasibility.

show abstract

“…For example, a multi-layer SAFT high precision ultrasonic imaging method was proposed for void disease detection [ 38 ]. Yue et al [ 39 ] put forward a method to calculate shield tunnel displacements of a full cross-section tunnel.…”

Section: Introductionmentioning

confidence: 99%

Structural Stability Monitoring of Model Test on Highway Tunnel with Lining Backside Voids Using Dynamic and Static Strain Testing Sensors

Zhou

Jiang

et al. 2023

Sensors

View full text Add to dashboard Cite

Voids behind a lining may develop due to insufficient backfilling, poor workmanship, water erosion or gravity. They affect the interaction between the surrounding rock and lining and even cause instability of the lining structure. To ensure the safe operation of tunnels, it is very important to study the influence of voids behind the lining of the lining structure. In this paper, a laboratory model of a tunnel lining was established by taking the voids behind the lining of the Wushan Tunnel as an example. By changing the position and size of the voids, the corresponding stress variation law of the lining was obtained, and the influence of the voids behind the lining on the structural stability of the highway tunnel was analyzed. The experimental results showed that the voids behind the lining led to an increase in the stress near the voids, especially the voids at the vault. The circumferential stress and axial stress increased with increasing void depth and length, and the increase was greater with increasing void depth than increasing length; that is, the void depth had a greater effect on the lining stress. When the vault void depth was 30 mm, the axial tensile stress of the vault was 0.281 MPa, and the maximum increase was 178.2% compared with that without voids. The safety factors at different lining positions, from large to small, are: arch foot > spinner > arch top > arch waist. In the processes of lining operation and maintenance, special attention should be given to the treatment of voids behind the lining, especially deep voids.

show abstract

Method for Tunnel Displacements Calculation Based on Mobile Tunnel Monitoring System

Cited by 22 publications

References 23 publications

An Analysis of Internet of Things Computer Network Security and Remote Control Technology

An Analysis of Internet of Things Computer Network Security and Remote Control Technology

A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information

Structural Stability Monitoring of Model Test on Highway Tunnel with Lining Backside Voids Using Dynamic and Static Strain Testing Sensors

Contact Info

Product

Resources

About