1. Providing Big Data to facilitate Collaboration in a Safety Railway Environment Jens-Peter Brauner, VP Mobility Division, Siemens Ltd. Hong Kong 27th International Railway Safety Council 2017, Hong Kong
Unrestricted © Siemens AG 2017
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2. Data Collection and Analytics in Railways
Ensure 100% operational availability
Main causes of accidents
The Challenge
source: UIC Safety Report 2016
Turn data available ...
... into reliable information
internal
external
Up to four billion data points received from rail vehicles p.a.
Billions of messages in Rail infrastructure / signalling systems p.a.
Additional data
OCS data
Geographical data
Weather data
Passenger behaviour and flow
CCTV
... and drive validated actions

3. MindConnect Rail Toolbox
Data Security is Key
MindConnect Rail Toolbox
Safety critical network
Local / diagnostic network
Internet
other target systems
OCC
Interlocking
DCU
Operator 01 00 11 10
MindSphere
MindSphere Apps e.g. Railigent

4. Advanced Data Analytics From data access to automated insights generation
1 | Data collection
2 | Search for patterns
3 | Machine learning
4 | Automated insight generation
Secure data transfer
From
Conditional monitoring
Threshold comparison
Data preparation by experts
… and action performed by service experts
Supervised learning
Anomaly detection
Deep learning
Neural nets To
Advanced pattern recognition

5. Examples for Insight Generation Improve maintenance of assets
Visualization of vehicle health status and location
Root-cause analysis of component failures
Prediction of component failures for gearboxes, bearings, traction motors, doors, power transformers etc.
Abrasion modeling for e.g. break pads and wheels
Outage statistics
Analysis of error conditions of ETCS and interlocking
Prediction of point machine failures
Throughput analysis for rail networks
Analysis of infrastructure conditions with vehicle based data
Infra- structure
Vehicles

6. Point Machine Monitoring and Failure Prediction … to reduced unexpected repairs during operation
Method
Exemplary visualization
Using the data from the interlocking provided to monitor the toggle time of the points without any additional sensors
Scoring of toggle time performance based on calculated reference movement patterns
Comparing observed performance with maintenance records to conclude specific failure causes
Result
Intuitive dashboard for maintainers to easily identify decreasing point machine performance and act preventively
Maintenance teams receive warnings in case abnormal point behavior is detected
Decreased MTTR

7. A platform for open collaboration and innovation
A Platform for Collaboration – MindSphere The cloud-based, open IoT operating system
MindSphere 10 01 11 00
MindSphere strengths
Apply domain know-how for analytical apps using APIs
“Plug & Play” connectivity for quick connection of assets
Ecosystem to facilitate collaboration among
Rail operators
System suppliers
IT provider
App developer
Further stakeholders
Fusing data silos to a data lake
Providing connectivity for surrounding systems
A platform for open collaboration and innovation

8. DAAC – Data Analytics and Application Centers Enables Smart Asset Management for Rail
Data transmission
Data processing
Data evaluation
Data visualization
Secure data transmission from sensor to central data storage
Connected to MindSphere – the underlying IoT operating system
Railigent – the rail specific platform and application suite
Turning data into value and enabling Digital Services solutions (Smart Monitoring, Smart Data Analysis and Smart Prediction)
Smart Monitoring
Automatic data visualization offering full transparency and fast troubleshooting
Management
Expertise domain Know-how 1 1 1
Advanced algorithms 1 1 1
Best practices 1
Smart Data Analysis 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 11 10 1 10 1 10
Efficient root cause investigations 1 1 1 1 1 1 1 1 1 1 1
Dispatcher 10 1 1 1 1 11 1 11 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Smart Prediction 1 1 1 1 1 1 1 1
Algorithms for preventive fault analysis
Maintenance engineer
SIL 4
11010
01110
Collaboration

9. DAAC – Data Analytics and Application Centers A global network of experts in a Co-Creation Space
MindSphere
app developers
Data scientists
Domain experts
operators
Worldwide network of competence
… located in Germany, UK, Russia, USA, Singapore, China and Hong Kong

10. Thank you!
Jens-Peter Brauner Vice President Mobility Division Siemens Ltd. Hong Kong
Restricted © Siemens AG 2017
Siemens.com/mobility