INNORAIL 2019
Transcript of INNORAIL 2019
TECHNICAL ENGINEERING BEST PRACTICES & OPERATIONAL BENEFITS GAINED
THROUGH EFFECTIVE TROUBLESHOOTING ERTMS POST-INSTALLATION
INNORAIL 2019
About the speaker
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Alessandro Simonetta
Master's degree in Computer Science
15 years dedicated to railway world, on board side, track side and radio communication system acting as sw engineer and project manager
Deep knowledge in designing and deploying solutions for testing and monitoring GSM-R and ETCS networks
About Comtest Wireless
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Anglo-Italian company
On-board & wayside test and monitoring analytics solutions for GSM-R, ERTMS & L2 ETCS quality and performance
Unique, consolidated view across the total network saves time & money on conducting telecoms & signalling performance assessments and on failure investigations
ERTMS overview
A brief recall of ERTMS building blocks
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• IXL (Interlocking) and wayside signalling• ETCS - Radio Block Centre• GSM-R network
CW solution covers them all
Introduction
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ERTMS systems facilitate this ………
GSM-R rail telecommunication
ETCS signalling network
Interlocking
European Vital Computer
ETCS possible failures
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GSM-R coverage, handover, interference, transmission errors, congestion, authentication failures and equipment malfunctions
ETCS signalling, MSC-RBC communication errors, RBC-EVC protocol stack issues, software bugs in RBC firmware, RBC-RBC interoperability problems
IXL misreading,mis-alignments, switch issues, track occupation issues
EVC malfunctioning, wrong identification, drivers’ mistakes
Finding the root cause is not easy
time consuming
frustrating for signalling and telecoms engineers
expensive when it comes to unplanned maintenance
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The importance of testing & monitoring
Monitoring all the interfaces and units involved is fundamental
It is important to have access to a platform and tools that can get access to all the data
The benefits of systems monitoring
▪ Recent advances in IT, IoT architectures, wireless & sensor technology
▪ Continuous integration of real-time data
▪ Ability to extract analytics from the data
▪ React to the results in a timely manner
▪ Data management based on relational databases
▪ Low bandwidth data collection ▪ Tendency for siloed operations
CASE STUDY 1: “ETCS EMERGENCY BRAKING”
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finding calls related to a certain train
The real time message flow showing
• BTS, the
• ETCS mode and balise
• RF parameters,
• ETCS and GSM message
messages from all the relevant interfaces, updated in real time
Complete decoding of each message
CASE STUDY 2: “INDIVIDUAL TRAIN PERFORMANCE MONITORING”
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analyse the train runs and train calls
Statistical dashboards can then verify the behaviour of an engine over a period of time
how the KPIs evolve over time and also see a list of related connections and identify those which are negatively affecting the KPI
CASE STUDY 3: “ETCS PERFORMANCE MANAGEMENT”
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see plots from two different train runs on the same line
statistical dashboards for analyse and compare performances over longer periods of time
automatic report and alarm generates alarms according to defined thresholds on KPIs.
Asset management
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Trend analysis
It requires the user’s judgment and competence
Mathematical functionalities
User competence is still needed to define the threshold
Pattern recognition
Requires a pretty big CPU power & large amount of data
Conclusion
The evolution from a traditional fix on failure approach to value engineering
Scalable real-time streaming architecture that integrates sensor and other data with existing siloed, offline, and manual systems
Continuous integration would bring systems, databases, and data to be rationalised
Organisations can operate with lower costs & a more effective IT platform