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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-d6541da1-14c8-4802-87cf-fa0d492e7973

Czasopismo

Journal of KONES

Tytuł artykułu

Advanced communication system: for the survey of rail tracks to improve safety of rail transportation

Autorzy Yadav, A. K.  Szpytko, J. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Railway transportation is a backbone of any country for transporting people and cargo. At present Indian railway is the largest network in Asia. So that safety is always big concern. Here in this article low cost railway track surveillance and monitoring system is proposed which will identify drastic and minor changes into the railway track. It consist a high-resolution CMOS camera mounted on robot. It is designed like: it can easily roll on railway track. In case of any obstacle or train coming on track, robot folds itself and provides a path to pass the train. It is controlled by wireless control system, which can be operated from remote location or station. For accurate results, a live video streaming is done to the remote station for future references and comparison of results. On the assembly of robot, a GPS (Global Positioning System) is mounted to know the location of robot on the rail track. An obstacle detector sensor is also mounted on the front of the robot to detect any coming obstacle. In this article ultrasonic method (Non-Destructive Method) is also explained to detects presence of cracks on rail track in real time. Overall, power utilization of this system will be very low by operating this system by solar power. Signal processing and wireless communication system is used as technology, which cuts off the overall cost. By implementing this surveillance system, we can improve the safety parameters of Indian railway by minimizing the errors and reducing the time and cost.
Słowa kluczowe
EN rail transport   smart communication   video streaming   crack detection  
Wydawca Institute of Aviation
Czasopismo Journal of KONES
Rocznik 2017
Tom Vol. 24, No. 2
Strony 315--322
Opis fizyczny Bibliogr. 8 poz., rys.
Twórcy
autor Yadav, A. K.
  • AGH University of Science & Technology Adama Mickiewicza Av. 30, PL 30-059, Krakow, Poland tel.: +48 791 612 715, +48 12 6173103, fax: +48 12 6173531, ykumar@student.agh.edu.pl
autor Szpytko, J.
  • AGH University of Science & Technology Adama Mickiewicza Av. 30, PL 30-059, Krakow, Poland tel.: +48 791 612 715, +48 12 6173103, fax: +48 12 6173531, szpytko@agh.edu.pl
Bibliografia
[1] Ahmed, E. I., Hossam, S. H., Ultrasonic Non- Destructive Testing ( NDT) Using Wireless Sensor Network, The 3rd International Conference on Ambient Systems, Network and Technologies, Canada (ANT), Vol. 10, pp. 136-143, Elsevier, 2012.
[2] Bigas, M., et al: Review of CMOS Image Sensor, Journal of Elsevier, Vol. 37, Iss. 5, pp. 433-451, 2006.
[3] Deshetti, S., Indian Railway Accident Statistics – Percentage of Accidents by Type 2009-2014, Factly Data Journalism, Portal 22, India, March 2015.
[4] Leone, R., et al., A Smart Device For Monitoring Railway Track in Remote Areas, IEEE International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), pp. 1-5, Italy 2016.
[5] Imad, E., et al., Supermedia in Internet – Based Telerobotics Operations, IFIP/IEEE International Conference on Management and Multimedia Networks and Services, MMNS,pp. 359-372, USA 2001.
[6] Lad, P., Pawar, M., Evolution of Railway Track Crack Detection System, 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), pp. 1-6, Malaysia 2016.
[7] Gajanr, R., et al., Solar Powered Rail Track Monitoring System, IEEE International Conference on Power and Renewable Energy (ICPRE), pp. 190-194, China 2016.
[8] Claudi, S., Regazzoni, C. S., A Distributed Surveillance System for Detection of Abandoned Objects in Unmanned Railway Environments, IEEE Transactions on Vehicular Technology, Vol. 49, No. 5, pp. 2013-2023, 2000.
Uwagi
PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-d6541da1-14c8-4802-87cf-fa0d492e7973
Identyfikatory
DOI 10.5604/01.3001.0010.2952