TY - GEN
T1 - An IoT based real-time railway fishplate monitoring system for early warning
AU - Nayan, Md Mizanur Rahaman
AU - Sufi, Suaib Al
AU - Abedin, Abir Kallayan
AU - Ahamed, Rizwan
AU - Hossain, Md Farhad
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/17
Y1 - 2020/12/17
N2 - Fishplate joint monitoring is of utmost importance in rail communication system to avoid accidents. Rail accidents generally occur due to the derailment of trains from the track. One of the primary reasons of derailment of train is losing alignment of rails due to loosened fishplates. So, monitoring rail alignment and fishplate bolt position is required to ensure railway safety and security. In this paper, an IoT based real-time railway fishplate monitoring system is proposed. The proposed system keeps track of the position of every bolt of each fishplate and alerts a central railway monitoring center as well as nearby stations and approaching train drivers if any bolt gets loosened. This system utilizes GSM communication and is capable of working in areas where cellular network atleast 2G is available. An embedded system detects the fault location with the help of a mechanical gear and raises warning as soon as any bolt rotation is detected. The proposed system is comparatively much cheaper. Besides, in a simulation based warning accuracy test, the results of the system show high accuracy which indicates the effectiveness of the system. Accidents probability and frequency are expected to be reduced significantly by this system.
AB - Fishplate joint monitoring is of utmost importance in rail communication system to avoid accidents. Rail accidents generally occur due to the derailment of trains from the track. One of the primary reasons of derailment of train is losing alignment of rails due to loosened fishplates. So, monitoring rail alignment and fishplate bolt position is required to ensure railway safety and security. In this paper, an IoT based real-time railway fishplate monitoring system is proposed. The proposed system keeps track of the position of every bolt of each fishplate and alerts a central railway monitoring center as well as nearby stations and approaching train drivers if any bolt gets loosened. This system utilizes GSM communication and is capable of working in areas where cellular network atleast 2G is available. An embedded system detects the fault location with the help of a mechanical gear and raises warning as soon as any bolt rotation is detected. The proposed system is comparatively much cheaper. Besides, in a simulation based warning accuracy test, the results of the system show high accuracy which indicates the effectiveness of the system. Accidents probability and frequency are expected to be reduced significantly by this system.
KW - Arduino
KW - Electrical Pulse Generator
KW - GSM
KW - IoT
KW - Railway fishplate
UR - https://www.scopus.com/pages/publications/85104632942
UR - https://ieeexplore.ieee.org/xpl/conhome/9393009/proceeding
U2 - 10.1109/ICECE51571.2020.9393036
DO - 10.1109/ICECE51571.2020.9393036
M3 - Conference contribution
AN - SCOPUS:85104632942
T3 - Proceedings of 2020 11th International Conference on Electrical and Computer Engineering, ICECE 2020
SP - 310
EP - 313
BT - Proceedings of 2020 11th International Conference on Electrical and Computer Engineering, ICECE 2020
PB - IEEE, Institute of Electrical and Electronics Engineers
T2 - 11th International Conference on Electrical and Computer Engineering, ICECE 2020
Y2 - 17 December 2020 through 19 December 2020
ER -