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Published in:
Role of AI and IoT Techniques in Autonomous Transport Vehicles Read chapter Read first chapter

2022 | OriginalPaper | Chapter

IoT Enabled Railway System and Power System

Authors : Akhtar Kalam, Pejman Peidaee

Published in: AI Enabled IoT for Electrification and Connected Transportation

Publisher: Springer Nature Singapore

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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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Metadata
Title
IoT Enabled Railway System and Power System
Authors
Akhtar Kalam
Pejman Peidaee
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
AI Enabled IoT for Electrification and Connected Transportation

Print ISBN: 978-981-19-2183-4

Electronic ISBN: 978-981-19-2184-1

Copyright Year: 2022

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