Scheme Design of Railway Predictive Maintenance Based on IOT and AI Technology

DOI

10.2991/assehr.k.211215.062How to use a DOI?

Keywords

Predictive maintenance; Railway; IOT; Big data; AI

Abstract

With the rapid development of railway, the predictive maintenance of railway is more and more worthy of study. This paper analyses the development process of railway maintenance in China, evaluates the traditional application of corrective maintenance, analyses the mature application of preventive maintenance, and expounds that predictive maintenance has been applied. This paper analyses the benefits from four aspects: saving cost, reducing unexpected downtime, prolonging asset life cycle and enhancing customer satisfaction, and summarizes the key success factors of predictive maintenance from the aspects of method, scope, team and change, especially designs predictive maintenance priority matrix for selection of maintenance objectives. Finally, the paper summarizes and designs the architecture of predictive maintenance platform based on Internet of things and AI. This paper will provide a meaningful scheme reference for China Railway to formulate predictive maintenance strategy and vigorously promote this work.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Cheng Zhang
AU  - Xiang Xie
AU  - Xiaochun Guo
PY  - 2021
DA  - 2021/12/15
TI  - Scheme Design of Railway Predictive Maintenance Based on IOT and AI Technology
BT  - Proceedings of the 7th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2021)
PB  - Atlantis Press
SP  - 337
EP  - 342
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211215.062
DO  - 10.2991/assehr.k.211215.062
ID  - Zhang2021
ER  -