08:30
|
COFFEE AND REGISTRATION
|
09:00
|
CHAIRMAN’S OPENING REMARKS
|
|
Replacing Manual Inspection: Collecting Track Data
|
09:10
|
Collecting Track Data
Steve Quinby, Head of Data Collection, Network Rail
- The role of Network Rail’s Infrastructure Monitoring fleet
- The benefits of automated train borne inspection
- Plain Line Pattern Recognition; Introducing new technology
|
09:40
|
Replacing Manual inspection: Collecting Track
Paul Vincent, Principal Remote Track Monitoring Engineer, London Underground and Alan Wilson, Senior Project Manager - Rolling Stock Renewals, London Underground
London Underground will present an insight into the current and future arrangements of collecting track data using its fleet of passenger and dedicated Track recording Vehicles. The challenges of fitting kit to tube gauge trains and achieving cost effective data collection, train pathing and balancing the demands for data collection, system maintenance and the passenger service.
|
10:05
|
Introduction of Plain Line Pattern Recognition (PLPR)
Some of The Challenges, Successes and Lessons Learnt
Stephen Tait, Engineering Manager, Omnicom Engineering Ltd
|
10:30
|
Question and Answer Session
|
10:45
|
REFRESHMENT BREAK
|
|
Dealing with Terabytes: Analysing Track Data
|
11:15
|
Big Data Supply Side: Artificial Intelligence in Processing Gauging Data
David Buckley, Project Manager Strategic Development and Gauging Services Manager, Balfour Beatty
|
11.40
|
Dealing with Terabytes: Analysing Track Data
Paul Vincent, Principal Remote Track Monitoring Engineer, London Underground
London Underground (LU) will explain just how it manages to transmit terabytes of data (including video) every day from 10 different vehicles as well as dedicated test trains and how it processes that data, ensures its integrityand makes it available to users within a corporate IT network. How data is converted into meaningful information for both immediate action and longer term planning and how its prioritised and integrated into a track work bank will also be explained
|
12:05
|
In service monitoring on the Dutch conventional and high speed network
Edward de Jong, Senior Consultant, Ricardo Rail, The Netherlands
An explanation will be given on the Dutch approach and how this interacts with the current way of monitoring by means of dedicated measuring trains. Some examples for the conventional and high speed network are shown explaining how raw data is converted to meaningful information enabling a reduction of incidents affecting train service and making further steps towards preventative track maintenance.
|
12:30
|
Question and Answer Session
|
12:45
|
LUNCH
|
|
Electrification
|
13:45
|
Collection of overhead line data – why, what and how?
Kevin Hope, Principle Engineer, Network Rail
- OLE data requirements and what is driving them
- Data collection technologies
- Challenges and lessons learnt
|
|
What Now? Implications for Maintenance
|
14:10
|
What Now?: Implications for Maintenance
Stephen Barber, Head of Track Engineering, London Underground
LU experience in maintenance, its culture and standards adapting to the new data sources and frequencies will be explored with LU Professional Head of Track. The presentation will also look at what the maintainer really needs that sometimes differs from the frontline perception!
|
14:35
|
What Maintainers Actually Want
Helen Warnock, Area Director West Anglia, Network Rail
|
15:00
|
A Different Perspective: High frequency / Big Data
Justin Southcombe, Perpetuum and Daniel, Tall South Eastern
Fitting 1000s of sensors to 100s of trains allows a different, less capital intensive approach. This higher recording frequency model offers a range of potential benefits. The presentation will look at how Train Operators can use the vibration information to optimise timetable and ride quality, as well as bogie overhaul periodicity, and opportunities for infrastructure managers are considered.
|
15:25
|
Advances in Condition Monitoring – Big Data and the Digital Railway
Clive Roberts, Director of the Birmingham Centre for Railway Research and Education, University of Birmingham
- State-of-the-art condition monitoring
- Big data – dealing with large disparate datasets
- From state of health monitoring to prognostics
- How the digital railway can benefit condition monitoring
Ontology and railway system modelling
|
15:50
|
Questions and Answer Session
|
16:00
|
REFRESHMENT BREAK
|
|
The Future of Infrastructure Monitoring
|
16:15
|
Concluding Panel Discussion
|
16:45
|
CHAIRMAN’S CLOSING REMARKS
|
17:00
|
END OF SEMINAR
|