A smart signalling system for Indian railways Smart

A smart signalling system for Indian railways

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

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

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

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

A Smart signalling system • Reports to 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

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

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

A smart signalling model for IR • Least additional hardware to implement • Best use of communication medium • Less maintenance - Reliable • Data integrity • Accessible to all • Data availability on real - time basis

Model 1

Model 2

Model 3

Model for monitoring an equipment

Examples of smart signalling components

DC Track Circuit

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

Current signature – DC TC

Use case of DC track circuit monitoring

Point machine Current signature

Use case of point machine monitoring

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

ELD – Earth Leakage Detection

Relay Status 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Fault Message S 6 RECR UP S 20 RECR UP S 18 RECR UP S 15 RECR UP S 3 RECR UP S 1 HECR UP at at at 07: 06: 04: 593 08: 25: 42: 890 08: 29: 16: 718 08: 29: 36: 109 08: 58: 48: 140 09: 02: 37: 265 S 20 DECR DN S 20 HECR DN S 18 DECR DN S 15 DECR DN S 3 HECR DN S 1 RECR DN S 1 D HECR DN at at 08: 10: 40: 546 08: 25: 42: 500 08: 27: 46: 218 08: 29: 16: 218 08: 29: 35: 687 08: 58: 47: 718 09: 02: 37: 390 09: 02: 37: 921 Occurred TIME 04/23/2013 Earth Leakage 09: 03: 10 appeared in 110 V AC S 1 D DECR UP at 09: 02: 37: 345 S 6 DECR DN at 07: 06: 04: 078 Supply

BMU – Battery Monitoring Unit

Cell voltage – high resistance

Integrated Power Supply

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

Dissemination of diagnostic data

Maintainer – Supervisor – OEM

Measurements made easy

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]

Information security

Smart testing

Smart testing

Smart testing – output Test name Operation with time stamp Actual result with Expected result time stamp of the Success event 52 NWKR Down 52 Point 01/04/2011 normal 09: 28: 51: 312 Route 1 A-A detection drop 52 NWKR Down 1 A UCR Up 52 Point initiated: 1 A UCR Down 01/04/2011 negative at 1 A HR Down test 09: 28: 50: 766 01/04/2011 1 A HR Down 09: 28: 51: 0 01/04/2011 09: 28: 51: 344 No

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