innovative railway track surveying with sensors and controlled by wireless communication

22,926 views

Published on

this my project in 2013
By
Er M.KALAIMATHI

Published in: Education
1 Comment
25 Likes
Statistics
Notes
  • Wireless Sensor Networks for Condition Monitoring in the Railway Industry
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
No Downloads
Views
Total views
22,926
On SlideShare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
1,804
Comments
1
Likes
25
Embeds 0
No embeds

No notes for slide

innovative railway track surveying with sensors and controlled by wireless communication

  1. 1. SUBMITTED BY GUIDED BYM.KALAIMATHI (43309106011) Ms R.RADHA RAJESWARIP.ILAKYA (43309106010) AP/ECE DEPARTMENTE.SATHIAVATHY (43309106023)A.R.ENGINEERING COLLEGE,Villupuram.
  2. 2. ABSTRACT The main objective of this project is to provide the multisensor railway track geometry surveying system. Railway Bridge damage status is monitored by the sensorand transfer through wireless modules. For easy surveying and with less delay the information canbe send to the authority. To avoid accident and to safeguard the people. ARM7 ,GSM,GPS and MEMS are used for geodeticmeasurement.
  3. 3. 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.Disadvantages: Delay in transmitting the information. Cost is high. Less accuracy.
  4. 4. 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. MEMS sensor is used for detect the cracks and breakage of tracks. Transmitting the information to the current train which comes on thetrack.Advantages: Very accurate detection. Cost effective than theexisting system.
  5. 5. Block Diagram of Railway TrackSurveying SystemIn this process we using three section for surveying.They are ROBOT SECTION TRAIN SECTION GATE SECTION
  6. 6. Robot section:GPSMEMS SensorUltrasonicsensorGSM
  7. 7. Train Section:Power SupplyATMELMicrocontroller
  8. 8. Gate SectionMicrocontroller Driver UnitGate ControlAlert Unit
  9. 9. Block Diagram Description Bridge damage status is monitored by thesensor and wireless modules. In track, any shake/tilt in parallel bridgeposition sensed by MEMS. If any obstacles, crack on the trackdetected by ultrasonic sensor. The GPS find the location of damage intrack. RF Module used to transmit and receivesignals from one section to another.
  10. 10. Cont.…. RF receive signal from train section interface with µc. GSM used to send SMS to authority person. A relay is an electrical switch that opens and closes underthe control of another electrical circuit. LCD is used to display the which damage status occur onthe track. Transmit the signal to the gate level section and to controlthe level crossings by DC motor interface with µc .
  11. 11. PIN Diagram
  12. 12. PIN Diagram Description Measurement range of 0 V to 3.3 V. It has 64 pins and 45 I/O pins. Two ports ,p0-30 and p1-15 pins for input/output. Port 0 Port pin Functionsp0.0 & p0.8 TXD( UART)p0.1 & p0.9 RXR (UART) Low power consumption.
  13. 13. CONT…….AT89S51
  14. 14. CONT… Special functions only in port-3. 10-17 are Port 3 pins. Port 3 Port Pin Alternate FunctionsP3.0 RXD (serial input port)P3.1 TXD (serial output port)P3.2 INT0 (external interrupt 0)P3.3 INT1 (external interrupt 1)P3.4 T0 (timer 0 external input)P3.5 T1 (timer 1 external input)P3.6 WR (external data memory writestrobe)P3.7 RD (external data memory readstrobe)
  15. 15. Hardware and SoftwareRequirementsHardware Required Power supply ARM processor GPS and GSM module MEMS and Ultrasonic Sensor Encoder/Decoder RF module LCD DisplaySoftware Required KEIL C Flash Magic ORCAD
  16. 16. Literature Survey“GNSS based Railway User Navigation(2009)” GPS to enable autonomous and reliable determination of trainposition, velocity under practically all environmental conditions. Another ethnological approach for the train location function: the useof GNSS signals integrated with inertial sensors.„“LED-LDR Based Railway Crack DetectionScheme(2010)” Ultrasonic Inspections to be the best solution to crack detection. However, LED-LDR cannot check for surface and near-surfacecracking where many of the faults are located.
  17. 17. Module DescriptionRAILWAY BRIDGE DAMAGE STATUS : In track, any shake/tilt in parallel bridge position sensed byMEMS. If any obstacles, crack on the track detected by ultrasonicsensor. Operated in both slab and ballast.DAMAGED LOCATION CAN BE RECORD AND SENDING SMS PROCESS: A GPS receiver calculates its position by timing the signalssent by GPS satellite Continually transmits messages of latitude and longitudeposition. Satellite position at time of message transmission via GSM. The modem will respond with the message from sensors andGPS, indicating that the message to train station.
  18. 18. Cont….TRAIN RECEIVING INFORMATION: ATMEL microcontroller and write the code to initialize theUART and use it to send and receive data. Display the message from RF receiver. A relay is an electrical switch that opens and closes under thecontrol of another electrical circuit. In the original form, theswitch is operated by an electromagnet to open or close oneor many sets of contacts. Alarm unit ON, For alert the stations.GATE SECTION CONTROLLED: Train transmit the signal to the gate level section. The microcontroller interface with the DC motor to control thegate level crossing. Alarm unit ON, For alert the rover.
  19. 19. Results ROBOT SECTION KIT TRAIN SECTION KITGATE SECTION KIT
  20. 20. ADVANTAGES: 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. Gate level controller. Accidents reduced. Wireless applications. Railway track damage detection applications. Industrial and access control. Other remote control system. Navigation systems.APPLICATIONS:
  21. 21. FUTURE ENHANCEMENT In this project, we are using MEMS and Ultrasonicsensors for detecting the cracks and obstacles in track. In future, we will also using the cctv systems with IPbased camera for monitoring the visual videos capturedfrom the track. It will also increase the security for the both rails andpassengers from terrorism, crime.
  22. 22. Conclusion: This project is a cost effective. Monitoring and maintenance by human is very difficult andtakes 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 crackdetection. To avoid delays, our proposed system will immediatelynotifies and informs the current train comes on the trackthrough wireless medium.
  23. 23. REFERENCES [1] Burakapikinar and Engingulla “Multisensor Railway TrackGeometry Surveying System” instrumentation and control in jan 2012. [2] J. Trehag, P. Handel, and M. Ögren, “On-board estimation andclassification 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 thegeometrical changes on railways,” Ph.D. dissertation, Yildiz TechnicalUniv., Istanbul, Turkey, 2009. [4]Wang Xin-yu,Chen Zhang Ying-gui ,Tango Bo “The research on themechanism of limiting speed pick-up and set-out train on railwaytransportation capacity loss”(2009)-Intelligent computation technologyand automation. [5]sania Bhatti,Jie Xu “Surveying of target tracking protocols usingwireless 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.
  24. 24. Cont.… [7] R. Glaus, G. Peels, U. Muller, and A. Geiger, “Precise railtrack survey-ing,” GPS World, pp. 12-18 2004, May 1. [8] I. Milev and L. Gruendig, “Rail track data base ofGerman rail—The future automated maintenance,” in Proc.INGEO FIG Regional Central Eastern Eur. Conf. Eng.Surv., Bratislava, Slovakia, Nov. 11-13, 2004,pp. 1-8. [9]Scoot R.Messenger, Edward A. Burke “The simulation ofdamage tracks in silicon”IEEE transations on nuclearscience,vol 51, no.5,october 2004 [10]Joery S.Dittrich ,Eric N.Johnson “multi-sensor navigationsystem for an autonomous helicopter” IEEE 2002. [11]D.Bouvet,G.Garcia”Inproving the accuracy of dynamiclocalization systems using RTK GPS by identifying the GPSlatency.
  25. 25. THANK YOU
  26. 26. QUERIES

×