Intelligent Tracks Stream

 

FEATURED SPEAKERS

 

Dirk Rompf

Prof. Dr. Dirk Rompf Managing Director Network Planning and Major Projects, DB Netze 

 

Carel Jonckheer e, Digital Railway Project Director, Infrabel 

 

Ezim Rozenberg

Efim Rozenberg , First Deputy Director, NIIAS Russian Railways            

 

Kaspars Rokens , COO, Rail Baltica

 

 

 

Track, Wednesday 18 April 2018

INTELLIGENT TRACKS

Dirk Rompf
Track
12:10

Industry update: DB Netz on track for 10% capacity upgrade

  • How to use intelligent data collection for maximum efficiency
  • Implementing condition based maintenance
  • The future technology of DB’s network.
Track
12:30

Using intelligent design to create track for tomorrow’s rail industry

  •     Why tailoring track infrastructure is essential to today’s operators
  •     Case Study
  •     Lessons learnt and how to apply them to ever-increasing demands 
Track
12:50

The importance of being earnest about data

  • How operators are using their data to develop their digital strategy
  • Establishing a policy driven by data analysis
  • How to make best use of useful information to future-proof a rail network.
13:10

Networking Lunch

 Senior Executive
Track
14:30

Technology as a key to maintaining a world-class network.

  • Preparing Korea’s high-speed network for the Winter Olympics
  • Leveraging technological excellence to deliver outstanding reliability
  • How Korea will advance with train technology in the coming years.
Track
14:45

Reducing maintenance costs through high-precision machinery

  • How precision technology is changing procurement for operators
  • How precision machinery can drive maintenance efficiency
  • Looking forward: How flexible, high-precision tools will impact the rail industry in the next 5 years
Søren Boysen
Track
15:00

Digital railways: infrastructure maintenance as a critical component

  • How BaneDanmark are maintaining hundreds of kilometres of  track with digital technology
  • Feeding new, innovative data inputs to create high-precision maintenance schedules
  • Taking track maintenance to the next level

TRACK ASSET MANAGEMENT

Efim Rozenberg
Track
15:20

Building Russian Railways’ digital strategy: modernising a mega-network

  • How Russian Railways have used technological innovation to implement predictive maintenance across a 75,000 km network.
  • Building the IT architecture needed to facilitate the digital transformation of Russian Railway’s (ISUZHT)
  • Lessons learnt and the future of Russian Railway’s infrastructure
Track
15:40

Innovative data collection and its effect on maintenance schedules

  • How rapid data input has changed the face of maintenance
  • Why predictive maintenance is a worthwhile investment
  • Equipping a team to welcome PM with open arms.
Track
16:00

Digital railways: infrastructure maintenance as a critical component

  • How operators are maintaining thousands of kilometres of track with digital technology
  • Feeding new, innovative data inputs to create high-precision maintenance schedules
  • Looking at track maintenance within the context of a country's entire transport infrastructure
last published: 17/Nov/17 17:05

Track, Thursday 19 April 2018

INTELLIGENT TRACKS

Tim Flower
Track
11:00

Network Rail’s condition-based maintenance program

  • Aligning stakeholders to make CBM possible
  • Leveraging analytics to increase efficiency within CBM
  • How Network Rail is integrating its maintenance systems
Track
11:15

How have Transnet used robots to drastically reduce derailment rates and increase maintenance frequency?

  • Derailments: the story of SID and Transnet
  • How Transnet’s Digital Think Tank capitalises on tech innovation to increase value
  • Going forward: How automated maintenance can change the rail landscape
Track
11:30

Unlocking potential marginal gain in track maintenance

  • Working with operators to ensure new innovative systems aren’t limited by current technologies
  • How to introduce new technology without introducing risk
  • Understanding emerging risks to the railway, such as climate change

INTELLIGENT TRACKS

Track
14:20

High-speed rail in extreme conditions. Transforming infrastructure for the rail revolution no matter the geographical limitations

  • Upgrading rail infrastructure with large scale public investment
  • Linking cities – the wider benefits of high-speed rail
  • The unique challenges and lessons we can draw from track maintenance in sub-zero conditions. 
Track
14:20

High-speed rail: Transforming networks for the rail revolution

  • Upgrading Norway’s rail infrastructure through mega-investment
  • Linking cities – the wider benefits of high-speed rail
  • The unique challenges of track infrastructure in Scandinavia
Track
14:35

Big data analysis: the key to the convergent railway

  • How to use key algorithms to filter huge streams of data
  • Building trends and patterns to pinpoint key points in a track system
  • Building a culture of interacting with data outputs
Track
14:50

How to crunch the numbers without crushing the people behind them

  • Building systems that integrate and adapt to the workforce
  • Building data that produces tangible information on track status
  • Acting on track status information to implement change in a network
Track
15:05

Condition-based maintenance: how to make people trust in an algorithm

  •     Taking sensor technology past simple threshold metrics to create an intelligent system
  •     How to make a workforce develop as quickly as the technology it has at its fingertips
  •     Combining man and machine: lessons from a working CBM model. 
last published: 17/Nov/17 17:05