Study on Internet of Things application for Highspeed Train Maintenance, Repair and Operation (MRO)

DOI

10.2991/citcs.2012.56How to use a DOI?

Keywords

intelligent transportation; internet of things (IoT); high-speed trian; semantic analysis; complex event processing

Abstract

the design of EMU IoT-system, which is oriented to the MRO of high-speed trains, was studied with implementations of sensing technologies like RFID, sensors, etc; with regarding to the future requirements of safety, orderly, efficient and high-quality in EMU maintenance service of China. In operation: massive seamless embedded RFID tags and sensors, on the basis of trainground transmission network, perceive running and defects status of high-speed train in real-time; realizing holographic train visualization and transit alerts. In maintenance and repair: multisource and multilevel raw data, from the collection of various production aspects such as trains flow, parts flow, labor jobs flow and equipments, monitor productive process and logistics of train maintenance in total life cycle. The general framework and detailed technical solution were presented in this paper; for the efficient processing of raw data, a semantic analysis measure driven by complex event mechanism was introduced; finally, a quantitative evaluation of productivity upgrading owing to IoT was made. All RFID applications involved are running or experienced pilot tests in factory environment.

Copyright

© 2012, 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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TY  - CONF
AU  - Weijiao Zhang
PY  - 2012/11
DA  - 2012/11
TI  - Study on Internet of Things application for Highspeed Train Maintenance, Repair and Operation (MRO)
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 207
EP  - 211
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.56
DO  - 10.2991/citcs.2012.56
ID  - Zhang2012/11
ER  -