Publication detail

Smart Sensing System for Railway Monitoring

KŠICA, F. RUBEŠ, O. KOVÁŘ, J. CHALUPA, J. HADAŠ, Z.

Original Title

Smart Sensing System for Railway Monitoring

Type

conference paper

Language

English

Original Abstract

This contribution presents a novel smart sensing solution for obtaining operational information from railway trackside. The proposed system consists of strain-based active MFC sensors mounted directly on a rail, that are used to collect data from vibrations and via tailored electronics and wireless transmission systems send them to a cloud-based storage system for further processing. The entire system operates in an ultra-low power regime and allows for automatic threshold-based triggering and data acquisition while being powered either externally or by energy harvesting systems. Acquired signals are stored and processed on a remote server in close to real-time manner to provide operational information about the track and the passing train, detects failures or events endangering the safety of operation, as well as evaluate long-term changes for predictive maintenance purposes. The presented system has been successfully deployed on multiple sites across Czech Republic and Taiwan, an in its current state could already present a competitive solution for automatic operational and health monitoring of railways.

Keywords

railway monitoring, MFC sensors, smart sensing system, IoT

Authors

KŠICA, F.; RUBEŠ, O.; KOVÁŘ, J.; CHALUPA, J.; HADAŠ, Z.

Released

7. 12. 2022

Publisher

IEEE

Location

Pilsen

ISBN

978-1-6654-1040-3

Book

Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)

Pages count

6

URL

https://ieeexplore.ieee.org/abstract/document/9983339

BibTex

@inproceedings{BUT181444,
  author="Filip {Kšica} and Ondřej {Rubeš} and Jiří {Kovář} and Jan {Chalupa} and Zdeněk {Hadaš}",
  title="Smart Sensing System for Railway Monitoring",
  booktitle="Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)",
  year="2022",
  pages="6",
  publisher="IEEE",
  address="Pilsen",
  doi="10.1109/ME54704.2022.9983339",
  isbn="978-1-6654-1040-3",
  url="https://ieeexplore.ieee.org/abstract/document/9983339"
}