Application of Mobile Internet to Railway Maintenance Work

2007 ◽  
Vol 48 (4) ◽  
pp. 202-206
Author(s):  
Norio SATO ◽  
Michiko NOZUE ◽  
Miki MIYASHITA ◽  
Makoto KIKUCHI
Keyword(s):  
Mobile Internet ◽  
Maintenance Work ◽  
Railway Maintenance

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.

Numerical Study Porosity of Railway Ballast during Tamping Process

2014 ◽  
Vol 919-921 ◽  
pp. 1124-1127
Author(s):  
Tao Yong Zhou ◽  
Bin Hu ◽  
Xue Yu Zhao ◽  
Bo Yan
Keyword(s):  
Discrete Element Method ◽  
Vibration Frequency ◽  
Numerical Study ◽  
Discrete Element ◽  
Analysis Model ◽  
Railway Ballast ◽  
Element Analysis ◽  
Maintenance Work ◽  
Railway Maintenance ◽  
Element Method

Tamping operation is an important part of railway maintenance work. The porosity of railway ballast is an important maintenance quality evaluation index during tamping process. In this paper, based on the discrete characteristics of railway ballast, the discrete element analysis model of railway ballast is created using the discrete element method, numerical simulations are performed to study the evolution of porosity of railway ballast under sleeper during tamping process. This paper focuses on the influence of vibration frequency of tamping tines during tamping process; an optimal vibration frequency is obtained from the simulation and compared with the actual vibration frequency recommended by China Railway Large Maintenance Machinery Co., Ltd. Kunming, it is found that the two vibration frequency is consistent. This result verifies that the discrete element method is an effective method to study the evolution of porosity of railway ballast during tamping process.

Research on mobile Internet mobile agent system dynamic trust model for cloud computing

2019 ◽  
Vol 16 (7) ◽  
pp. 174-194 ◽  
Author(s):  
Weijin Jiang ◽  
Yang Wang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yuhui Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Agent ◽  
Trust Model ◽  
Mobile Internet ◽  
System Dynamic ◽  
Agent System ◽  
Dynamic Trust

Diagnostics of Track Infrastructure as Part of the Digitisation of Russian Railways

2020 ◽  
Vol 64 (188) ◽  
pp. 149-160
Author(s):  
Janusz Poliński
Keyword(s):  
Diagnostic Tools ◽  
Gradual Transition ◽  
Technical Diagnostics ◽  
Strategic Development ◽  
Railway Infrastructure ◽  
Monitoring And Forecasting ◽  
Infrastructure Maintenance ◽  
Result Analysis ◽  
Railway Maintenance ◽  
Condition Diagnosis

Technical diagnostics is an integral part of the railway maintenance process. Through timely maintenance, in addition to ensuring the safety, functional and technical reliability of the infrastructure, maintenance costs are reduced and downtime losses, due to failures or premature repair requests, are eliminated or reduced. The track infrastructure diagnostic tools have evolved. This is related to, among others, the miniaturisation of instruments, reading accuracy during motion, as well as upgraded measurement automation and result analysis. Currently, data obtained from multifunctional diagnostic tools is the basis for the developed Russian railway infrastructure maintenance and operation digital model. The strategic development of mobile diagnostic labs is the gradual transition to solutions with advanced digital analysis, supported by artificial intelligence, monitoring and forecasting. The article presents the development of mobile labs for the railroad infrastructure condition diagnosis up to the current solutions, in which measurements take place without human intervention and the obtained information is transmitted in real time to the analysis and decision centres. Keywords: rail transport, measuring wagons, digitisation of railways, Russian railways

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