A smart signalling system for Indian railways

2. A smart signalling system for Indian railways

3. Smart signalling system – user’s view • Full capacity realisation • Flexibility of movements • Easy to operate • Intelligence to identify bottle necks - plan movements – suggest best option • Maximum availability – reliable & minimum maintenance blocks - degraded operation in case of unavoidable failures • Unique meaning to each aspect – easy to understand - adequate uniform braking distances

4. Challenges of Signal Engineers on IR • Over used infrastructure – less time for maintenance • Skill up-gradation of maintenance staff • Multiplicity of similar equipment in one section • Customisation of foreign technology • Age old maintenance practices and schedules • Inadequate diagnostics of signalling equipment

6. A Smart signalling system Maintenance practice • Periodical preventive – disconnection of equipment • Breakdown – processor based equipment • Predictive – desirable

7. A Smart signalling system • Signalling Equipment to generate diagnostic data • Monitoring system withRoot cause identification • Diagnostic alarms to maintenance staff on real time – to reduce MTTR

8. A Smart signalling system • Reportsto increase MTBF - long term performance To identify contribution of local conditions --- installation & maintenance practices operating staff --- equipment failure to take managerial decisions to provide inputs • Semi centralisation of field equipment – for better trouble shooting & monitoring

9. Skills to build smart signaling system • Accurate & non-invasive measurement of parameters - Voltage & Current Time Distance [gap] Potential free contact Data of processor based – IPS, DAC, LEU, EI • Transportation of data from place of measurement without delay to central location

10. Skills to build smart signaling system • Ability to process large data on real time basis • Ability to convert real time data - useful information to generate actionable alarms - adopting predictive maintenance • Time synchronization of geographically distributed monitoring systems • Analytics of big data to identify trends in system behaviour for long term planning

11. A smart signalling model for IR • Leastadditional hardware to implement • Best use of communication medium • Less maintenance - Reliable • Data integrity • Accessible toall • Data availability on real - time basis

12. Model 1

13. Model 2

14. Model 3

15. Model for monitoring an equipment

16. Examples of smart signalling components

18. DC Track Circuit

19. Predictive maintenance - DC TC • Excitation below the set limit – availability • Excitation above the set limit – safety • Feed end voltage less than set limit – battery • Excitation is OK but track repeater relay not operated in relay room • Track feed charger input voltage beyond set limits • External supply in Location beyond set limits

20. Current signature – DC TC

21. Use case of DC track circuit monitoring

23. Point machine Current signature

24. Use case of point machine monitoring

25. Alarms - from current signature • Point failed due to obstruction– which end of crossover • Point machine not operated even after control relay operation • Point machine correctly operated but detection failed • Point machine overload protection time delay less • Point machine friction clutch requires adjustment • Point machine operating voltage beyond set limits • Point detecting voltage beyond set limits

27. ELD – Earth Leakage Detection

29. BMU – Battery Monitoring Unit

30. Cell voltage – high resistance

31. Integrated Power Supply

32. Dissemination of diagnostic data • Front end technician- on real time basis – actionable - reduce the MTTR • Supervisor - diagnostic data – to get root cause - to guide technician at site • Manager - more statistical information - trend of failures - to decide inputs required to be given

33. Dissemination of diagnostic data

34. Maintainer – Supervisor – OEM

35. Measurements made easy

36. Data security - Cloud – big data • Smart signalling system is data intensive - option of adopting new technologies - ‘cloud’ – ‘Big data’ • Implementation of Information Security standards – [ISO 27001]

37. Information security

38. Smart testing

39. Smart testing

40. Smart testing – output

41. Thanks