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Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24–25, 2018, Proceedings

Research Article

RailMon: Distance, Temperature and Location Railway Monitoring Using IoT Technologies

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  • @INPROCEEDINGS{10.1007/978-3-319-98878-8_20,
        author={Pa Kebbeh and Madoune Seye and Bassirou Ngom and Bamba Gueye and Moussa Diallo},
        title={RailMon: Distance, Temperature and Location Railway Monitoring Using IoT Technologies},
        proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24--25, 2018, Proceedings},
        proceedings_a={INTERSOL},
        year={2018},
        month={9},
        keywords={Internet of Things Event detection Structural health monitoring},
        doi={10.1007/978-3-319-98878-8_20}
    }
    
  • Pa Kebbeh
    Madoune Seye
    Bassirou Ngom
    Bamba Gueye
    Moussa Diallo
    Year: 2018
    RailMon: Distance, Temperature and Location Railway Monitoring Using IoT Technologies
    INTERSOL
    Springer
    DOI: 10.1007/978-3-319-98878-8_20
Pa Kebbeh1,*, Madoune Seye2, Bassirou Ngom2, Bamba Gueye2, Moussa Diallo2
  • 1: University of The Gambia
  • 2: Universite Cheikh Anta Diop
*Contact email: pakebbeh@utg.edu.gm

Abstract

Internet of Things (IoT) is an emerging technology and have great potential to be applied in critical environments. In that regard, IoT is a remarkable solution to the challenge of collecting data from physical environments, thanks to their flexibility, low cost and ease of deployment. It has always been a dependent factor for early alert signals for the possibility of unforeseen technical issues that may occur within the mass transport networks. Our proposed infrastructure, called “RailMon” and based on IoT, is able to detect either rail track damages due to unbearable temperature or determine fixed object in a far-away distance in a railway network. Thus, an early warning system is deployed to avoid unforeseen fatal accidents.

Keywords
Internet of Things Event detection Structural health monitoring
Published
2018-09-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-98878-8_20
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