Cross‐section positioning based on a dynamic MLS tunnel monitoring system

2019 ◽  
Vol 34 (167) ◽  
pp. 244-265 ◽  
Author(s):  
Liming Du ◽  
Ruofei Zhong ◽  
Haili Sun ◽  
Yujiao Liu ◽  
Qiong Wu
Keyword(s):  
Monitoring System ◽  
Cross Section ◽  
Tunnel Monitoring

Design and Implement of Cable Tunnel Monitoring System based on Environmental Engineering

2020 ◽  
Vol 51 (4) ◽  
pp. 01-02
Author(s):  
Thương Liễu
Keyword(s):  
Monitoring System ◽  
Power Transmission ◽  
Cutting Edge ◽  
Environmental Engineering ◽  
Force Transmission ◽  
Tunnel Monitoring ◽  
Taking Care

At present, the quick advancement of intensity flexibly has carried incredible difficulties to the protected activity of the link and the counteraction of mishaps in power transmission. In any case, utilizing customary manual strategies to keep up the link doesn't satisfy the current need. Accordingly, dealing with the activity of the links by means of cutting edge PC innovation is critical for the force transmission. In this paper, we build up a natural designing based observing framework for link passage to give the ongoing checking just as the mishap taking care of for link activity. It is another answer for the administration of links activity. The paper breaks down the structure of the framework, expounds on the execute, shows the use of the framework lastly makes the end.

scholarly journals Achievements and Tasks of the SMRT Tunnel Monitoring System(TMS)

2012 ◽  
Vol 15 (4) ◽  
pp. 381-387
Author(s):  
Jong-Hun Park ◽  
Man-Hwa Kim ◽  
Ki-Hwan Park
Keyword(s):  
Monitoring System ◽  
Tunnel Monitoring

scholarly journals A Novel Contact Tunnel Profile Monitoring System: Concept and Application

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yang Han ◽  
Shikun Pu ◽  
Lei Gao ◽  
Jianli Duan ◽  
Erbing Li
Keyword(s):  
Monitoring System ◽  
Cross Section ◽  
Deformation Monitoring ◽  
Remote Access ◽  
Displacement Sensor ◽  
Profile Monitoring ◽  
Underground Engineering ◽  
Optimal Monitoring ◽  
Tunnel Cross Section

The displacement of the cross section directly reflects the stress state and stability of the surrounding rock and structure, so the monitoring of it is essential during the construction and operation of the tunnel and underground engineering, particularly under the conditions of earthquake and other geological disasters. This paper introduces a new contact tunnel profile monitoring system (TPMS) in detail that uses a tilt sensor and a displacement sensor as data acquisition devices. According to the relation between the sensing physical quantity and displacement change, the displacement calculation formulas of the tunnel cross section measuring points based on the two-dimensional plane coordinate system were deduced, and in order to eliminate the actual installation and positioning deviation of the monitoring system, the method of obtaining the optimal monitoring plane and converting coordinates of the measuring points was proposed, thus establishing the theoretical basis for the application of the TPMS. With the Beishan exploration tunnel (BET) in China as the test platform, the TPMS was successfully applied for long-term monitoring. The application experience showed that the TPMS can realize continuous monitoring, automatic collection and transmission of the monitoring data, remote access whenever necessary, without affecting the transportation in the tunnel, and high accuracy, which reaches 0.01 mm. This system provides a new simple and effective method with good generality and applicability for the deformation monitoring of the tunnel and underground engineering.

scholarly journals Resistivity Tunnel Monitoring System

2018 ◽  
Vol 0 (1) ◽  
Author(s):  
Firman Syaifuddin ◽  
Amien Widodo ◽  
Muhammad Nurul Puji
Keyword(s):  
Monitoring System ◽  
Tunnel Monitoring

scholarly journals Enhancing Railway Maintenance Safety Using Open-Source Computer Vision

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Donghee Shin ◽  
Jangwon Jin ◽  
Jooyoung Kim
Keyword(s):  
Computer Vision ◽  
Social Issue ◽  
Monitoring System ◽  
High Speed ◽  
Image Data ◽  
Detection Algorithm ◽  
Prevention System ◽  
Maintenance Work ◽  
Tunnel Monitoring ◽  
Railway Maintenance

As high-speed railways continue to be constructed, more maintenance work is needed to ensure smooth operation. However, this leads to frequent accidents involving maintenance workers at the tracks. Although the number of such accidents is decreasing, there is an increase in the number of casualties. When a maintenance worker is hit by a train, it invariably results in a fatality; this is a serious social issue. To address this problem, this study utilized the tunnel monitoring system installed on trains to prevent railway accidents. This was achieved by using a system that uses image data from the tunnel monitoring system to recognize railway signs and railway tracks and detect maintenance workers on the tracks. Images of railway signs, tracks, and maintenance workers on the tracks were recorded through image data. The Computer Vision OpenCV library was utilized to extract the image data. A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.

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