turning data into action: digital services for rail · key: turning big data into positive outcomes...
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Turning Data into Action:
Digital Services for Rail
Simon Davidoff
Head, Siemens Digital Rail Services, U.S.
usa.siemens.com/innovationday Unrestricted © Siemens AG 2018
Unrestricted © Siemens AG 2018
2018-03-27 Page 2 Siemens PLM Software
Connectivity
Dispatcher
Vision: Digitalized rail services
Central capturing and
ticket handling
Transport Operators
Mindsphere Applications Center (MAC)
Spare Part Logistics
SIMOS
Service Desk
Support Center
Railmall
Maintenance management
CORMAP CMMS
Service Technicians
Depot/ Mobile
CMMS
Mobile
Railigent
Utilization &
Performance Management
information
Connected vehicle Connected infrastructure
Complex
Analysis
Failure
Prediction
Real-Time
Monitoring
Paperless documentation
Automated vehicle/
infrastructure inspection
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Key: Turning Big Data into Positive Outcomes
Data available Challenge
Turn
data Into
insights
And drive appropriate
actions Loyal customers
Higher operational
efficiency
Better use of
assets
Avoid unplanned
downtime
Data points per vehicle / infrastructure asset (annually)
1-4billion
Potential Outcomes
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2018-03-27 Page 4 Siemens PLM Software
MAC: Siemens Mobility’s
MindSphere Application Center
New MindSphere Application Center
Close cooperation with Georgia Institute of
Technology
Serving a broad range of digital Mobility business
International competence center for light rail
Co-creation approach
New application for ‘Smart Operations’
Clear visualization of
real-time data
Transparency into light
rail operations
Taking into account
the human factor
SCALE
Feedback
Build
Prioritise
Evolve
EXPLORE
MVP Hypothesis
Improvement
opportunity
Market
opportunity
Customer need
Confidential © Siemens AG 2017 CC MO
Siemens and Atlanta Streetcar using
data analytics to optimize operations
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Optimizing: Efficiency
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Improving: Safety
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“Digitalizing Operations Optimizing Maintenance”
Data sources available
A new nexus: Operations and maintenance
Operator
Performance
Provide comparative
insights into
operator
performance
Ridership
Analysis
Understand and
efficiently report on
ridership patterns
Operational
Efficiency
Optimize fleet’s
operational
performance
Energy
Efficiency
Optimize energy
consumption
Vehicle
Maintenance
Insights based on
condition enabling
predictive
maintenance
Vehicle: event recorder,
VCU, APS, ECU, ICU
Operational logs: vehicle /
operator schedules Geolocation, weather,
ticketing systems
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