1. AUTOMATIC RAILWAY TRACK FAULT DETECTING
USING WIRELESS NETWORK SYSTEMS
 PRESENTED BY,
NEELIMA.D

2. OBJECTIVE
•To detect train derailment in
curves and bends
•To avoid collision between trains
•To identify the obstacles on
automatic railway gate

3. contents
• Introduction
• Existing system
• Existing System Disadvantages
• Proposed System
• Proposed System Block Diagram
• Working
• Advantages
• Experimental Results
• Hardware Tools
• Software Tools
• Applications
• Future Scope
• Conclusion
• Reference

4. ABSTRACT
• The project is to provide the multi sensor railway track
geometry surveying system.
• Railway Bridge damage status is monitored by the sensor
and transfer through wireless modules.
• For easy surveying and with less delay the information can
be send to the authority.
• To avoid accident and to safeguard the people.
.

5. INTRODUCTION
• In the rapidly flourishing country like
ours, accidents in rail road railings are
increasing day by day.
• This project deals with one of the
efficient method to avoid train accidents.

6. Existing system
• Oral communication through telephonic and
telegraphic conversations.
• IR sensors are also used to identify the cracks
in the railway.
• LASER Proximity Detector
• Use of satellites for communication.

7. Existing system
• Surveying manually.
• Infrared sensor are not suitable for external
disturbance.
• LDR sensors cannot used on the slab of the tracks.
• It can be operated in tunnels with interruption.

8. Existing System Disadvantages
•Delay in transmitting the information.
•Cost is high.
•Less accuracy.

9. Proposed system
• The project is cheap and it is suitable to the Indian scenario.
• The system can be operated at tunnels also, without interrupts.
• Ultrasonic sensors are used for monitoring the obstacles in tracks.
• sensor is used for detect the cracks and breakage of tracks.
• Transmitting the information to the current train which comes on the
track.

10. Block Diagram of Railway Track Fault
Detecting System
In this process we using TWO section for surveying.
They are
• ROBOT SECTION
• TRAIN SECTION

11. Robot section:
GPS
Ultrasonic
sensor
GSM

12. Train Section:
Power Supply
ATMEL
Microcontroller

13. Working
The proposed crack detection
scheme has been tested by placing
the robot on an actual rail track.
The latitude, longitude and the
nearest railway station will be
sent as a message.
Bridge damage status is
monitored by the sensor and
wireless modules. Fig 4:

14. Existing System Disadvantages
• Delay in transmitting the information.
• Cost is high.
• Less accuracy
•Its cost very low compared to existing system.
•Very accurate detection.
•It also checks surface and near surface of the
cracking position.
•Transmitting signals are immediately transfer.
•Accidents reduced.
Advantages

15. Experimental Result
Fig 5: Detection Kit
Fig 6: Mobile registration Process

16. Fig 7: Crack detected
Fig 8: No Crack Detected Fig 9: The Location of Crack

17. Hardware Requirements
• Power supply
• AT89S52 MIc
• GPS and GSM module
• Ultrasonic Sensor
• LED DRIVER
• LCD Display

18. Software Requirements
• KEIL C
• Flash Magic
• Protesus

19. APPLICATIONS
• Wireless applications.
• Railway track damage detection applications.
• Industrial and access control.
• Other remote control system.
• Navigation systems.

20. FUTURE ENHANCEMENT
• In this project, we are using and Ultrasonic
sensors for detecting the cracks and obstacles in
track.
• In future, we will also using the cctv systems
with IP based camera for monitoring the visual
videos captured from the track.
• It will also increase the security for the both rails
and passengers

21. Conclusion
•This project is a cost effective.
•Monitoring and maintenance by human is very difficult
and takes more time.
•Initially IR sensor used but, it is less efficiency after that
uv-sensors are used for slab on the track only not for the
crack detection.
•To avoid delays, our proposed system will immediately
notifies and informs the current train comes on the track
through wireless medium.

22. REFERENCES
• [1] Burakapikinar and Engingulla “Multisensor Railway Track
Geometry Surveying System” instrumentation and control in jan 2012.
• [2] J. Trehag, P. Handel, and M. Ögren, “On-board estimation and
classification of a railroad curvature,” IEEE Trans. Instr. Meas., vol. 59,
no. 3,pp. 653-660, Mar. 2010.
• [3] B. Akpinar, “A new measurement system design for determining the
geometrical changes on railways,” Ph.D. dissertation, Yildiz Technical
Univ., Istanbul, Turkey, 2009.
• [4]Wang Xin-yu,Chen Zhang Ying-gui ,Tango Bo “The research on the
mechanism of limiting speed pick-up and set-out train on railway
transportation capacity loss”(2009)-Intelligent computation technology
and automation.
• [5]sania Bhatti,Jie Xu “Surveying of target tracking protocols using
wireless sensor network”(2009)- wireless and mobile communication.
• [6] B. Li, C. Rizos, H. K. Lee, and K. H. Lee, “A GPS-slaved time syn-
chronization system for hybrid navigation,” GPS Solutions, vol. 10, no.
3,pp. 207-217, Jul. 2006.

23. THANK YOU

24. QURIES