Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Railway Big Data Real-time Processing Based on Storm

Authors
Shihang Guo, LiChen Zhang
Corresponding Author
Shihang Guo
Available Online May 2016.
DOI
10.2991/wartia-16.2016.108How to use a DOI?
Keywords
Storm, Big Data, Railway, GIS
Abstract

Train Operation Control System is a typical Cyber-physical System which is combined with sensors, decision-making control unit and actuators. There are more and more sensors are used in railway, as a result these sensors produces Big Data stream data. In view of this situation, we propose the architecture for railway Big Data processing based on Storm. On the base of the architecture, we focus on the real-time stream processing which is the most important for railway Cyber-physical. We use Storm to process the GIS data of trains and prove the feasibility of the method.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.108
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.108How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shihang Guo
AU  - LiChen Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Railway Big Data Real-time Processing Based on Storm
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 534
EP  - 537
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.108
DO  - 10.2991/wartia-16.2016.108
ID  - Guo2016/05
ER  -