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  2. 2. OBJECTIVE •To detect train derailment in curves and bends •To avoid collision between trains •To identify the obstacles on automatic railway gate
  3. 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. 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. 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. 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. 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. 8. Existing System Disadvantages •Delay in transmitting the information. •Cost is high. •Less accuracy.
  9. 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. 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. 11. Robot section: GPS Ultrasonic sensor GSM
  12. 12. Train Section: Power Supply ATMEL Microcontroller
  13. 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. 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. 15. Experimental Result Fig 5: Detection Kit Fig 6: Mobile registration Process
  16. 16. Fig 7: Crack detected Fig 8: No Crack Detected Fig 9: The Location of Crack
  17. 17. Hardware Requirements • Power supply • AT89S52 MIc • GPS and GSM module • Ultrasonic Sensor • LED DRIVER • LCD Display
  18. 18. Software Requirements • KEIL C • Flash Magic • Protesus
  19. 19. APPLICATIONS • Wireless applications. • Railway track damage detection applications. • Industrial and access control. • Other remote control system. • Navigation systems.
  20. 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. 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. 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. 23. THANK YOU
  24. 24. QURIES