Authors :
Pruthvijeet Shelake; Rutuja Bavdekar; V. P. Mohite
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/4r2ve2ca
Scribd :
https://tinyurl.com/36bmwvbv
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY2150
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In the developing country, individuals are
encountering numerous accidents. It would be
undesirable. For any country to lose their lives for no
reason is unacceptable. Railways are a type of
transportation. crucial transports in India The crack must
be manually detected. On the railway track, railway
personnel are responsible for addressing this issue, even
though. The inspection is conducted on a regular basis.
Occasionally, the crack may go unnoticed. Due to There is
a possibility of a train accident or derailment. This
situation can be prevented by doing this. Automating
railway crack detection has been suggested. This device
emits sound waves that are higher than human hearing
and detects the echoes that bounce back from objects.
The railway track was monitored for any cracks by
measuring the distance from the track to the ground. The
microcontroller detects a crack if the sensor measures a
distance larger than the set value. We are utilizing
Arduino microcontroller. Upon identifying cracks or
objects, the testing robotic vehicle halts and transmits its
current longitudinal and latitudinal positions via SMS to
both GSM and GPS at the control station. A new type of
robotic car that uses IoT technology to detect cracks in
railway tracks is a promising solution to improve the
inspection of transportation infrastructure, making it
safer and more reliable.
Keywords :
GSM, GPS, LDR, Ultra Sonic Sensor, Internet of Things, Railway Fault Detection.
References :
- M. P. Papaelias, C. Roberts, and C. L. Davis, ‘‘A review on non-destructive evaluation of rails: State-of-the-art and future development,’’ Proc. Inst. Mech. Eng. F, J. Rail Rapid Transit, vol. 222, no. 4, pp. 367–384, 2008.
- F. Wu, Q. Li, S. Li, and T. Wu, ‘‘Train rail defect classification detection and its parameters learning method,’’ Measurement, vol. 151, Feb. 2020, Art. no. 107246.
- A. Rifat, P. P. Pandao, and B. S. Babu, ‘‘Solar powered fault detection system for railway tracks,’’ Eur. J. Electr. Eng. Comput. Sci., vol. 6, no. 1, pp. 39–43, Feb. 2022.
- W. Chen, W. Liu, K. Li, P. Wang, H. Zhu, Y. Zhang, Hang, ‘‘Rail crack recognition based on adaptive weighting multi-classifier fusion decision,’’ Measurement, vol. 123, pp. 102–114, Jul. 2018.
- J. L. Rose, M. J. Avioli, P. Mudge, and R. Sanders on,‘‘Guided wave inspection potential of defects in rail,’’ NDT E Int., vol. 37, no. 2, pp. 153–161, Mar. 2004.
- J. Kascak, J. Török, and M. Töröková, ‘‘Utilization of the ultrasonic diagnostic method in rail status on a defined railway section,’’ TEM J., vol. 10, pp. 152– 157,Feb. 2021.
- H. Benzeroual, A. Khamlichi, and A. Zakriti, ‘‘Detection of transverse defects in rails using noncontact laser ultrasound,’’ Multidisciplinary Digit. Publishing Inst. Proc., vol. 42, no. 1, p. 43, 2019.
- Y. Jiang, H. Wang, S. Chen, and G. Tian, ‘‘Visual quantitative detection of rail surface crack based on laser ultrasonic technology,’’ Optik, vol. 237, Jul. 2021, Art. no. 166732.
- Y. Min, B. Xiao, J. Dang, B. Yue, and T. Cheng, ‘‘Realtime detection system for rail surface defects based on machine vision,’’ EURASIP J. Image Video Process., vol. 2018, no. 1, pp. 1–11, Dec. 2018.
- M. M. R. Nayan, S. A. Sufi, A. K. Abedin, R. Ahamed,and M. F. Hossain, ‘‘An IoT based real-time railway fishplate monitoring system for early warning,’’ in Proc. 11th Int. Conf. Electr. Comput. Eng. (ICECE).
In the developing country, individuals are
encountering numerous accidents. It would be
undesirable. For any country to lose their lives for no
reason is unacceptable. Railways are a type of
transportation. crucial transports in India The crack must
be manually detected. On the railway track, railway
personnel are responsible for addressing this issue, even
though. The inspection is conducted on a regular basis.
Occasionally, the crack may go unnoticed. Due to There is
a possibility of a train accident or derailment. This
situation can be prevented by doing this. Automating
railway crack detection has been suggested. This device
emits sound waves that are higher than human hearing
and detects the echoes that bounce back from objects.
The railway track was monitored for any cracks by
measuring the distance from the track to the ground. The
microcontroller detects a crack if the sensor measures a
distance larger than the set value. We are utilizing
Arduino microcontroller. Upon identifying cracks or
objects, the testing robotic vehicle halts and transmits its
current longitudinal and latitudinal positions via SMS to
both GSM and GPS at the control station. A new type of
robotic car that uses IoT technology to detect cracks in
railway tracks is a promising solution to improve the
inspection of transportation infrastructure, making it
safer and more reliable.
Keywords :
GSM, GPS, LDR, Ultra Sonic Sensor, Internet of Things, Railway Fault Detection.