case study of IOT usage on railway rolling stock at SNCF Mobility étude de cas d'usages objet connecté sur le matériel roulant ferroviaire SNCF Mobilités

1. TURNING IOT &
DATA INTO VALUE
FROM ROLLING STOCK DATA
TO BUSINESS IMPROVEMENT
CASE STUDY
SNCF – ROLLING STOCK DEPT.
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT

2. –
FROM CONNECTIVITY TO ACTION
1. ABOUT SNCF
2. IMPROVING ROLLING STOCK
+ MAIN ISSUES
+ OPPORTUNITY FROM IOT
3. USE CASES FEEDBACK
+ TANK LEVEL
+ DOORS
4. CONCLUSION
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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3. –
FROM CONNECTIVITY TO ACTION
1. ABOUT SNCF
2. IMPROVING ROLLING STOCK
+ MAIN ISSUES
+ OPPORTUNITY FROM IOT
3. USE CASES FEEDBACK
+ TANK LEVEL
+ DOORS
4. CONCLUSION
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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4. ABOUT SNCF GROUP
A GLOBAL LEADER IN PASSENGER AND FREIGHT TRANSPORT SERVICES.
SIX CORE BUSINESSES: RAIL NETWORK, COMMUTER TRANSPORT, LONG-DISTANCE RAIL, STATION MANAGEMENT,
LOGISTICS, ASSETS MANAGEMENT
KEY FIGURES BY THE END OF 2017
REVENUE
€ 33.5 bn
ANNUAL GROWTH +4.2%
INTERNATIONAL
30%
ACROSS 120 COUNTRIES
RAILWAY NETWORK
OF TRACK NCLUDING 2 600 KM
OF HIGH SPEED LINE
MAINTAINED & MONITORED 24/7
15 000 TRAINS /DAY
OF WHICH 7 000 IN GREATER PARIS (40% OF FRENCH TRAFFIC)
EMPLOYEES
WORLDWIDE
OVER 30 000KM 270 000
INVESTMENTS 2017
€ 8.8 bn (ALL FINANCING)
OF BUSINESS
VOLUME
14 Millions
DAILY PASSENGERS FRANCE & WORLDWIDE
5 Millions BY TRAINS IN FRANCE
OF WHICH 3,5 M IN GREATER PARIS (70% OF FRENCH PASSENGERS)TUESDAY, MAY 29TH 2018
ROLLING STOCK - ENGINEERING DEPT
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5. –
INDUSTRIAL PERFORMANCE EVERY DAY
FOR THE BENEFIT OF CUSTOMERS
ROLLING STOCK DIVISION
70
PRODUCTION
FACILITIES
THROUGHOUTFRANCE
A TRAIN VISITS A
TECHNICENTRE
EVERY
3 DAYS
ON AVERAGE
MAINTENANCE IS
PROVIDED
AROUND
THE CLOCK
IN MOST
TECHNICENTRES
€2.7 bn
DEDICATED EVERY
YEAR TO RAILWAY
MAINTENANCE
CARBODIES
PER YEAR
1,300
AT MID-LIFE STAGE,
IT TAKES
ON AVERAGE
3 MONTHS
TO MODERNISE
A TGV TRAIN
450,000
PARTS
REPAIRED
EVERY YEAR
150,000
PARTS NUMBERS
ON CATALOGUE
22,000
EMPLOYEES
OF WHICH
1,900
AT THE
ENGINEERING DEPT
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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6. –
LEVER FOR INDUSTRIAL AND OPERATIONAL PERFORMANCE
IMROVING RAIL SERVICES
ENGINEERING DEPARTMENT
CONCEPTION
1,900
EMPLOYEES
ENGINEERS & TECHNICIANS
EXPERTISE
TESTING
JUNE 2018
PERFORMANCE
MANAGEMENT
ROLLING STOCK - ENGINEERING DEPT
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7. –
FROM CONNECTIVITY TO ACTION
1. ABOUT SNCF
2. IMPROVING ROLLING STOCK
+ MAIN ISSUES
+ OPPORTUNITY FROM IOT
3. USE CASES FEEDBACK
+ TANK LEVEL
+ DOORS
4. CONCLUSION
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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8. –
WE PROBABLY SHARE THE VISION…
SMART TRAIN
CLOUD
ANALYTICS
ASSET MANAGEMENT
SYSTEM
WORK
ORDERS
DATA
INFORMATION
ANALYSIS
ACTIONS
EXPERIENCE
Operational
Reliability
& QoS
Risk
management
Enhanced
Rolling Stock
Availability
Cost
Reduction
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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9. –
BUT WHAT ABOUT FLEET DIGITAL STATUS ?
JUNE 20189
ROLLING STOCK - ENGINEERING DEPT
TRAINS DO NOT HAVE A SMARTPHONE-LIFECYCLE !
Great Paris EMUsTGV
LocomotivesOther Regional MUs
NO REMOTE DIAGNOSTIC
BASIC CONNECTIVITY
FULL DIAGNOSTIC
CAPABILITY
ADVANCED MAINTENANCE
DATA AVAILABLE

10. –
GETTING DATA FROM LEGACY FLEETS
JUNE 2018
Connectivity
Wireless to an on-board
communication gateway
Direct network
connectivity with LPWA
Wired to an on-board
train network
Sensors
Capteurs intégrés au
matériel roulant
Fully integrated to the
train control (or
maintenance) system
Sensors not interfering
with train systems,
except power supply
Sensors not interfering
with train systems
Very high except
new train or
heavy overhaul
Moderate:
power feed and
gateway
integration
Lowest cost for
single sensor
use case
Cost of the 1st
data stream
ROLLING STOCK - ENGINEERING DEPT
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11. –
FROM CONNECTIVITY TO ACTION
1. ABOUT SNCF
2. IMPROVING ROLLING STOCK
+ MAIN ISSUES
+ OPPORTUNITY FROM IOT
3. USE CASES FEEDBACK
+ TANK LEVEL
+ DOORS
4. CONCLUSION
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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12. WATER LEVEL MONITORING
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT

13. –
USE CASE OVERVIEW
Issues
Client
Toilets Availability
Operations
Delayed trains
Costs
Replenishment
management
Pressure sensor Data gathering
Replenishment in workshop
(or in station)
web interface DIGIDIAG
Storage and
processing
platform
LPWAN
provider
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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14. –
TANK LEVEL MONITORING RESULTS (1)
JUNE 201814
ROLLING STOCK - ENGINEERING DEPT
WATER LEVEL PER CARBODY
trainset #720 R1 R2 R3 R5 R6 R7 R8
Mean level 84% 80% 79% 81% 84% 76% 70%
Minimum level 47% 15% 13% 34% 35% 25% 0%*
Conclusions (1)
 Overall mean level of water tank is 80 %. This could allow to suppress
unnecessary replenishments.
 Low level still exist, can be and were flagged thanks to monitoring,
before assigning the TGV on a commercial journey.

15. –
TANK LEVEL MONITORING RESULTS (2)
JUNE 201815
ROLLING STOCK - ENGINEERING DEPT
WATER LEVEL OVER TIME
 Water consumption vary
significantly depending on
toilet’s location.
This was expected.
 Water replenishment vary
significantly depending on
toilet’s location.
This was less expected !
Conclusions (2)
 Replenishments being charged, but not “full-filled” !  contract management

16. –
INDUSTRIALIZATION
JUNE 201816
ROLLING STOCK - ENGINEERING DEPT
ENABLING DATA USAGE FOR OPERATIONS
Hardware implementation
All TGVs with clear water toilets will be fitted with the monitoring system.
Equipment in progress (start 02/2018)
Process evolution
Making data available to all intervening parties
 Train & fleet status display
 Notification & task scheduling
 “Full-filment” check
Software tools
+
Operational process
+
Change management

17. FUEL TANK
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT

18. –
“QUITE THE SAME THING”…
1st BUSINES CONCEPT
Real-time knowledge of fuel level
can improve operations
DIESEL ENGINES – FUEL VOLUMES DELIVERED
Basic ambition
Streamline refuelling
Queueing at the gas station at rush hour
KEY FACTS FROM FIRST STUDY
Significant consumption at standstil
 engines left idling 65% of operating time
1
2
3 Costs due to too-frequent refuelling
EASY & FAST PROOF OF CONCEPT
July ‘16
GO for implementing
October ‘16
Locomotive running
February ‘17
End of test
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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19. –
…QUITE, BUT NOT THE SAME THING
BACK TO USER’S NEEDS
USER’S TARGET
Engine fit for service
Fuel level
Match with expected consumption
(scheduled journey & load)
Battery status OK for engine start
Sand level
Sufficient for journey under current
weather condition
Water level Windshield-cleaning system ready
Fuel level measurement needs to be
 Always available – especially whilst running  LPWAN network won’t do
 Precise  the original equipment gauge is not sufficient
 Done in-motion  liquid movements inside tank have to be dealt with
Operations need more than fuel !
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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20. “CORAIL” COACHES
DOORS MONITORING
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT

21. –
CONTEXT AND PURPOSE
 Improving our client’s safety
Monitoring doors safety
 Empowering on-board staff
Alerting enabling appropriate reaction
 Opportunity: IOT technology
Light, communicating sensors, with hopefully
affordable implementation
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
IMPROVE DOORS SAFETY FOR “CORAIL” PASSENGER COACHES
Business concept
IOT use for
Alerting the
train manager if one
door is opened
21
Important : Corail class entered
commercial service in 1975 !

22. –
AGILE : TEAMWORK & PROOF OF VALUE
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ROLLING STOCK - ENGINEERING DEPT
Alert displayed on
train manager’s smartphone
IOT MODULE
Wireless communication box
Control lamp
“secured door”Open / Close status
Position sensor
Pressure of closing cylinder
Pressure switch
Onboard sound alert
Alert in supervision
centre
!
JUNE 2018

23. –
AGILE PLANNING
JUNE 201823
ROLLING STOCK - ENGINEERING DEPT
STEP BY STEP WITH ALL THE STAKEHOLDERS
58 coaches fitted, commencing October 2016
 Phase 0 - March 2017: Test and development of alerting algorithm
Train-ground transmission and diagnostic system run on demo platform
 Phase 1 – March-May 2017: Semi-automated system
Groud-based platform alerts are sent to supervision centre, to be analysed.
 Phase 2 – May-June2017: Automated system
Train-based informations are analysed automatically by the platform. Supervisor forwards
pertinent alerts to the train manager.
 Phase 3 from June 2017: End-to-end automated system
Alerts are send directly to the train manager, who takes appropriate actions and gives
feedback to the supervision centre.
Feedback and incremental improvement of the system ~ 1 year
 2018: Industrialization on 350+ coaches to be launched

24. –
FROM CONNECTIVITY TO ACTION
1. ABOUT SNCF
2. IMPROVING ROLLING STOCK
+ MAIN ISSUES
+ OPPORTUNITY FROM IOT
3. USE CASES FEEDBACK
+ TANK LEVEL
+ DOORS
4. CONCLUSION
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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25. REAL OPPORTUNITIES WITH
 IOT TECHNOLOGY
 OPERATIONAL DATA
REAL VALUE COMES FROM
 VALIDATED USE CAS
 END TO END INDUSTRIAL SOLUTION
JUNE 201825
ROLLING STOCK - ENGINEERING DEPT
AS A CONCLUSION

26. –
ToR
4-20 mA
Accéléro 0-72V
impulsion
LS
Gateway
Ethernet
Centrale
inertielle CAN
GPS
[MARTI] AGILE MODULE FOR DATA TRANSMISSION [MELI] VERSATILE DATA LINK DEVICE
3G 4G
GPS
INDUSTRIALIZATION : GENERIC IOT PLATFORM
MARTI & MELI DEVICES ARE RAILWAY-COMPLIANT IOT SOLUTIONS
 Certification due 06/2018
 Multiple use cases identified & scheduled
 Ready for sharing the solution
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT
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27. –
ROLLING STOCK - ENGINEERING DEPT
INTEGRATED NOTIFICATION
PLATFORM
Feedback
Notification &
acknowledgment
Aggregated data
TIGRE
I’TACT
OSMOSE
Production
facility
GMAO
Engineering
Data
Exploration
Maintenance
staff
TRAIN
STATUS
All Operating
Businesses
VOYAGETRANSILIEN
TER
…
INTERCITE FRET
Driver
Train Manager
FREIGHT
Intercity
IOT
devices
Manual
report
Station staff
Regional
Greater Paris
Driver
command
Traffic
management
CO
CO
QR CODE
Client
CO
CO
Client
27
Supervision
de flotte
Connected
trains
JUNE 2018
INFORMATION IS DELIVERED IN ACCORDANCE
WITH OPERATIONAL NEEDS, AND SHARED TO
ALL PARTIES INVOLVED

28. THANK YOU !
JUNE 2018
ROLLING STOCK - ENGINEERING DEPT