Russian Railway Infrastructure Monitoring using Modern Multifunctional Diagnostic Trains

2016 ◽  
Author(s):  
E.S. Ashpiz ◽  
I.K. Mikhalkin ◽  
O.B. Simakov ◽  
E.D. Zagitov
Keyword(s):  
Infrastructure Monitoring ◽  
Railway Infrastructure

Towards Wireless Sensor Networks for railway infrastructure monitoring

2010 ◽  
Author(s):  
Fran Flammini ◽  
Andrea Gaglione ◽  
Francesco Ottello ◽  
Alfio Pappalardo ◽  
Concerta Pragliola ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Infrastructure Monitoring ◽  
Railway Infrastructure

scholarly journals INTELLIGENT MACHINE VISION BASED RAILWAY INFRASTRUCTURE INSPECTION AND MONITORING USING UAV

2019 ◽  
Vol 17 (3) ◽  
pp. 357 ◽  
Author(s):  
Milan Banić ◽  
Aleksandar Miltenović ◽  
Milan Pavlović ◽  
Ivan Ćirić
Keyword(s):  
Machine Vision ◽  
Visual Inspection ◽  
Cost Effective ◽  
Extraction Methods ◽  
Ease Of Use ◽  
Inspection System ◽  
Infrastructure Monitoring ◽  
Vision Sensors ◽  
Railway Infrastructure ◽  
Infrastructure Inspection

Traditionally, railway inspection and monitoring are considered a crucial aspect of the system and are done by human inspectors. Rapid progress of the machine vision-based systems enables automated and autonomous rail track detection and railway infrastructure monitoring and inspection with flexibility and ease of use. In recent years, several prototypes of vision based inspection system have been proposed, where most have various vision sensors mounted on locomotives or wagons. This paper explores the usage of the UAVs (drones) in railways and computer vision based monitoring of railway infrastructure. Employing drones for such monitoring systems enables more robust and reliable visual inspection while providing a cost effective and accurate means for monitoring of the tracks. By means of a camera placed on a drone the images of the rail tracks and the railway infrastructure are taken. On these images, the edge and feature extraction methods are applied to determine the rails. The preliminary obtained results are promising.

scholarly journals Monitoring of railway vehicles and infrastructure by portable dynamic scale

2020 ◽  
Vol 68 (4) ◽  
pp. 95-106
Author(s):  
Krzysztof Sekuła ◽  
Dariusz Wiącek ◽  
Jerzy Motylewski
Keyword(s):  
Axial Load ◽  
Load Identification ◽  
Railway Transport ◽  
Railway Vehicles ◽  
Infrastructure Monitoring ◽  
Non Invasive ◽  
Railway Infrastructure ◽  
Significant Intensity ◽  
Passing Train

The article presents the devices for monitoring loads in railway transport, developed and manufactured by the Adaptronica company. Dynamic scales utilize portable transducers fixed in a non-invasive way to the rail foot. Load identification is based on the measurements of rail deformations caused by a passing train. The article presents the results obtained during the monitoring of railway lines, characterized by significant intensity of train traffic. Histograms of axial load values of the tested vehicles were determined. The measurements’ results were verified with the results obtained with a reference static scale or with the results obtained during passage of locomotives with a given mass. Keywords: portable dynamic rail scale, weight in motion, railway infrastructure monitoring

A review of railway infrastructure monitoring using fiber optic sensors

2020 ◽  
Vol 303 ◽  
pp. 111728 ◽  
Author(s):  
Cong Du ◽  
Susom Dutta ◽  
Pradeep Kurup ◽  
Tzuyang Yu ◽  
Xingwei Wang
Keyword(s):  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Infrastructure Monitoring ◽  
Railway Infrastructure

scholarly journals Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring

2019 ◽  
Vol 4 (4) ◽  
pp. 58 ◽  
Author(s):  
Soilán ◽  
Sánchez-Rodríguez ◽  
Río-Barral ◽  
Perez-Collazo ◽  
Arias ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Laser Scanning ◽  
State Of The Art ◽  
Light Detection And Ranging ◽  
Infrastructure Monitoring ◽  
Railway Infrastructure ◽  
Risk Vulnerability ◽  
Potential Damage ◽  
Different Levels ◽  
Prediction Capability

Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and technologies that contribute to more efficient and automated infrastructure monitoring. Therefore, a review that summarizes the state of the art of LiDAR (Light Detection And Ranging)-based data processing is presented, giving a special emphasis to road and railway infrastructure. The most relevant applications related to monitoring and inventory transport infrastructures are discussed. Furthermore, different commercial LiDAR-based terrestrial systems are described and compared to offer a broad scope of the available sensors and tools to remote monitoring infrastructures based on terrestrial systems.

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