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IoT Enabled Railway System and Power System

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AI Enabled IoT for Electrification and Connected Transportation

Part of the book series: Transactions on Computer Systems and Networks ((TCSN))

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Abstract

The fourth industrial revolution, Industry 4.0, has incited new ways for Enterprise Management System (EMS) and innovations on supply and demand side addressing wide range of use cases. With the continuing acceleration in implementing use cases of Industry 4.0, digitalization of railways and transportation industry have been introduced through IoT framework and its potential advantages for smart operation of railways. Although, challenges in modern rail operation such as operational efficiency, maximized availability and maintenance of the physical assets still have been remained to be addressed in benefits for serving customers and railway operators. In this chapter an integrated ecosystem of cutting-edge digital technologies and advanced data analysis framework are adopted to demonstrate a responsive and agile operating environment for operators in railway system. The emphasis is on building blocks of IoT based solutions within the railway industry including interconnectivity between different layers of IoT platform and railway Operation Control Centre (OCC). Moreover, relevant issues such as interoperability, data integrity and cybersecurity issues are highlighted as prospective challenges to deployment of the IOT-enabled railway systems. Further to that both technical and methodological aspects corresponding to the research studies and validations of the results in the field of IoT systems have been addressed through IoT use cases in Smart Grid. In summary, this chapter envisages the prospect of near future of the railway operation within the context of IoT platform and highlights requirements for further preparations and promotions of the research area relevant to the smart railway operation.

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Abbreviations

AEP:

Application Enabled Platform

AR/VR:

Augmented/Virtual Reality

COTS:

Commercial Off The Shelves

EMS:

Enterprise Management Systems

FIS:

Freight Information System

GOOSE:

Generic Object Oriented Substation Event

HIL:

Hardware In Loop

HMI:

Human Machine Interface

IDC:

International Data Corporation

IED:

Intelligent Electronic Device

IETF:

Internet Engineering Task Force

IoT:

Internet of Things

ITU:

International Telecommunication Union

KPI:

Key Performance Indexes

LPWAN:

Low-Power Wide Area Network

LTE:

Long-Term Evolution

M2M:

Machine to Machine

MAS:

Multi Agent System

MBSE:

Model-Based System Engineering

OASIS:

Organization for the Advancement of Structured Information Standard

OCC:

Operation Control Centre

OT/IT:

Operation Technology/Information Technology

PIS:

Passenger Information System

PLM:

Product Life-cycle Management

RAMI 4.0:

Reference Architecture Model for Industries 4.0

ROI:

Return of Investment

RTDS:

Real-Time Digital Simulation

SCADA:

Supervisory Control and Data Acquisition

SDO:

Standard Development Organizations

SE:

System Engineering

SME:

Small and Medium-size Enterprise

SOS:

System Of System

TRL:

Technologies Readiness Level

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Authors and Affiliations

  1. College of Engineering and Science, Victoria University, Melbourne, Australia

    Akhtar Kalam & Pejman Peidaee

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  1. Akhtar Kalam
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  2. Pejman Peidaee
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Correspondence to Akhtar Kalam .

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Editors and Affiliations

  1. Wipro Limited, Bangalore, Karnataka, India

    Naveenkumar Marati

  2. KIET Group of Institutions, Delhi-NCR, Ghaziabad, India

    Akash Kumar Bhoi

  3. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

    Victor Hugo C. De Albuquerque

  4. College of Engineering and Science, Victoria University, Melbourne, VIC, Australia

    Akhtar Kalam

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Kalam, A., Peidaee, P. (2022). IoT Enabled Railway System and Power System. In: Marati, N., Bhoi, A.K., De Albuquerque, V.H.C., Kalam, A. (eds) AI Enabled IoT for Electrification and Connected Transportation. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-19-2184-1_2

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  • DOI: https://doi.org/10.1007/978-981-19-2184-1_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2183-4

  • Online ISBN: 978-981-19-2184-1

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