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voestalpine SIGNALING Fareham Ltd. voestalpine SIGNALING Fareham Ltd. www.voestalpine.com/signaling voestalpine Signaling Fareham Ltd. John Smith, CEO September 2019

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  • voestalpine SIGNALING Fareham Ltd.voestalpine SIGNALING Fareham Ltd.www.voestalpine.com/signaling

    voestalpine Signaling Fareham Ltd.

    John Smith, CEO

    September 2019

  • voestalpine SIGNALING Fareham Ltd.| |September 4, 20192 Title of presentation

  • voestalpine SIGNALING Fareham Ltd.

    voestalpine Railway Systems

    September 4, 2019 voestalpine SIGNALING Fareham Ltd. 3

    » Global market leader for railway infrastructure system solutions» offering outstanding products, logistics

    and services for rails, turnouts, signaling and monitoring applications and the most extensive and integrated track portfolio

    » Founded on 160 years of experience» pioneering technical expertise as well

    as engineering knowledge» our products and services result in

    outstanding benefit to our customers

  • voestalpine SIGNALING Fareham Ltd.

    voestalpine SIGNALING Fareham» Fareham is our competence centre for railway infrastructure monitoring» Over 20 years experience providing solutions to global customers» Monitoring solutions across multiple asset types

    » Points, Track Circuits, Signalling power supplies (earth leakage), Points heating» Rail temperature, Level crossings, flood monitoring» Bespoke customer solutions e.g. platform screen doors

    » Data acquisition inc. sensors, data loggers and network communication devices» Roadmaster central server system for data processing and analytics, alarms, HMI» Project delivery; 1 to >1,000 installations» Expertise in business case development, industrialisation and benefits realisation

  • voestalpine SIGNALING Fareham Ltd.

    Customer segments

    September 4, 20195 voestalpine SIGNALING Fareham Ltd.

    MIXEDTraffic

    FREIGHTTraffic

    URBAN Traffic HIGH SPEED Traffic MetrosTrams

  • voestalpine SIGNALING Fareham Ltd.

    Global Presence

    AustraliaSydney TrainsMTSMTMAdelaide MetroV-LineQRPTARio TintoARTCFMG

    SE AsiaHong KongRapid KLTRA TaiwanLMRC

    Middle EastDoha MetroRTA Dubai MetroEtihad Rail

    EuropeNetwork RailBane NorEurotunnelIrish RailOBBSBBDB

    N AmericaCalgary TransitTTC TorontoMetrolinxChicago TransitNYCTAHarris County MetroMexico

    S AmericaSao PauloFerromex

  • voestalpine SIGNALING Fareham Ltd.

    Network Rail framework suppliers

  • 8

    Tim Flower, Head of MaintenanceSeptember 2019

  • 9

    • Britain’s railways are a remarkable success story – we are the fastest growing, and one of the safest and most reliable railways in Europe.

    • Passenger numbers have doubled in the last twenty five years and are continuing to grow.

    • We run more trains than Spain, Switzerland, Holland, Portugal and Norway combined.

    • Network Rail employs 40,000 people across the UK, and supports 89,000 full-time jobs in our supply chain. The railway and its supply chain support 216,000 jobs across Britain.

    • Network Rail continues to evolve to ensure the needs of our customers – passengers and train companies – are at the heart of what we do.

    Britain’s railway today

    http://oc.hiav.networkrail.co.uk/programmes/transform/AMIP/AISphase2/ORBIS%20Image%20Library/Handheld%20devices/IMG_0012.JPG

  • 10

    • Large parts of the network are now full with no contingency for when things go wrong –disrupting our passengers.

    • We are spending over £20 million every day just to operate, maintain and renew the railway, which in many places is still 50 to 150 years old, yet much more heavily used than it was originally designed for.

    • A single fault at one place at rush hour can have a knock on effect to services hundreds of miles away, many hours later.

    • We need to embrace innovation to deliver a better performing railway

    Why do we need Intelligent Infrastructure?

  • The asset management challenge

  • 12

    Network Timetable Planning

    Whole System Modelling

    Asset System Schematics Infrastructure Reliability Tool

    Track WLCC Tier 2 model

    Discrete Asset

    ComponentHistorical Work Management

    System

    E&P Decision Support Tool

    Track Decision Support Tools

    What is it & Where is it

    Why & How does it Impact on Performance

    When will it impact on

    Performance

    What is the best treatment

    What is the optimal advice -

    learning & AI

    Descriptive Twin Diagnostic Twin Prognostic Twin Prescriptive Twin Automated Twin

    Com

    plex

    ityof

    Phy

    sica

    l Ass

    et

    Increasing Complexity Of Digital Twin

    Developed from work for IAM Patrons, Kersley,T.(Network Rail), Foley,J (EAMS) & Pocock,D (Jacobs)

    The data challenge

  • 13

    Supporting Network Rail’s plans for CP6

  • 14

    The Journey so Far

  • 15

    ORBIS 7 years and 20+ projects

    Geo-RINM Viewer• 8,000 current users• Will be available to external users• 150 data layers of rail information• Aerial survey imagery

    Geo-RINM

    Viewer

    STORE

    Asset Data Store• Contains more than 2 terabytes of

    data • Consolidates more than 20 source

    systems in to 1 place Provides the sole source of data into LADS

    • Enables Decision Support Tool (DST) benefits in CP6

    CAPTURE

    My Work Application• > 14,000 devices deployed• > 15 million work orders closed

    Asset Data Capture• > 155,000 signalling scripts

    completed (75% of assets)

    Aerial Survey Data Capture• Entire network viewable with

    high resolution imagery and LIDAR data (for surface and terrain modelling)

    Linear Asset Decision Support Tool• Approximately 600 users• Now includes Overhead Line

    Equipment

    EXPLOIT

    Signaling Decision Support Tool• C. £39m benefits forecast

    Operational Property DecisionSupport Tool• £27.6m benefits realised

    Track Decision Support Tool• £32m benefits realised• £52m additional forecast CP5

    EP Decision Support Tool• £0.5m benefits forecast

    ORBIS was a seven year, £330m digital transformation programme designed to place quality asset data at the heart of decision-making in Network Rail.

  • 16

    Delivery to date - train borne monitoring

  • Delivery to date – remote condition monitoring

    14,100Points (67%)

    3,100 Point heating supplies

    (96%)

    1,300Power supplies

    (99%)

    22,800Track circuits (41%)

    Rail and equipment room temp

    http://www.railway-technology.com/contractors/signal/delta-rail/

  • Broken rails – 1998-99 to 2018-19

    952919

    706

    534

    445

    334 322 317

    192 181 164 152 171 127178

    126 98 109 95 106 93

    0

    200

    400

    600

    800

    1000

    1998-1999

    1999-2000

    2000-2001

    2001-2002

    2002-2003

    2003-2004

    2004-2005

    2005-2006

    2006-2007

    2007-2008

    2008-2009

    2009-2010

    2010-2011

    2011-2012

    2012-2013

    2013-2014

    2014-2015

    2015-2016

    2016-2017

    2017-2018

    2018-2019

    Num

    ber o

    f Bre

    aks

    Financial Year End

    • In 2018/19 we had 93 broken rails, the lowest ever a compared to our previous best of 95 in 2016/17• This represents a reduction of 90% in 15 years• 50% increase in traffic over the same period with reducing access• How do we achieve 50 by 2030? – 30 by 2050?

    Sheet1 (2)

    1962550

    1963660

    1964540

    1965550

    1966700

    1967750

    1968740

    1969760

    1970960

    1971980

    1972940

    1973950

    1974820

    1975780

    1976800

    1977800

    1978810

    19791020

    1980900

    1981880

    1982750

    1983730

    1984760

    1985950

    1986830

    1987740

    1988721

    1989593

    1990556

    1991708

    1992664

    1993679

    1994669

    1995617

    1996752

    1997709

    1998755

    19999521998- 1999952

    20009191999-2000919

    20017062000-2001706

    20025342001-2002534

    20034452002-2003445

    20043342003-2004334

    20053222004-2005322

    20063172005-2006317

    20071922006-2007192

    20081812007-2008181

    20091642008-2009164

    20101522009-2010152

    20111712010-2011171

    20121272011-2012127

    20131782012-2013178

    20141262013-2014126

    2015982014-201598

    20161092015-2016109

    2017942016-201794

    Chart1

    1998- 1999

    1999-2000

    2000-2001

    2001-2002

    2002-2003

    2003-2004

    2004-2005

    2005-2006

    2006-2007

    2007-2008

    2008-2009

    2009-2010

    2010-2011

    2011-2012

    2012-2013

    2013-2014

    2014-2015

    2015-2016

    2016-2017

    880

    750

    730

    760

    950

    830

    740

    721

    593

    556

    708

    664

    679

    669

    617

    752

    709

    755

    952

    919

    706

    534

    445

    334

    322

    317

    192

    181

    164

    152

    171

    127

    178

    126

    98

    109

    Year

    Number of Broken Rails

    Broken Rail Histroy

    550

    660

    540

    550

    700

    750

    740

    760

    960

    980

    940

    950

    820

    780

    800

    800

    810

    1020

    900

    Chart2

    1998- 1999

    1999-2000

    2000-2001

    2001-2002

    2002-2003

    2003-2004

    2004-2005

    2005-2006

    2006-2007

    2007-2008

    2008-2009

    2009-2010

    2010-2011

    2011-2012

    2012-2013

    2013-2014

    2014-2015

    2015-2016

    2016-2017

    2017-2018

    2018-2019

    Financial Year End

    Number of Breaks

    952

    919

    706

    534

    445

    334

    322

    317

    192

    181

    164

    152

    171

    127

    178

    126

    98

    109

    95

    106

    93

    Sheet1

    1962550

    1963660

    1964540

    1965550

    1966700

    1967750

    1968740

    1969760

    1970960

    1971980

    1972940

    1973950

    1974820

    1975780

    1976800

    1977800

    1978810

    19791020

    1980900

    1981880

    1982750

    1983730

    1984760

    1985950

    1986830

    1987740

    1988721

    1989593

    1990556

    1991708

    1992664

    1993679

    1994669

    1995617

    1996752

    1997709

    1998755

    19999521998- 1999952

    20009191999-2000919

    20017062000-2001706

    20025342001-2002534

    20034452002-2003445

    20043342003-2004334

    20053222004-2005322

    20063172005-2006317

    20071922006-2007192

    20081812007-2008181

    20091642008-2009164

    20101522009-2010152

    20111712010-2011171

    20121272011-2012127

    20131782012-2013178

    20141262013-2014126

    2015982014-201598

    20161092015-2016109

    2017952016-201795

    20181062017-2018106

    2019932018-201993

    Sheet2

    Sheet2

    1962

    1963

    1964

    1965

    1966

    1967

    1968

    1969

    1970

    1971

    1972

    1973

    1974

    1975

    1976

    1977

    1978

    1979

    1980

    1981

    1982

    1983

    1984

    1985

    1986

    1987

    1988

    1989

    1990

    1991

    1992

    1993

    1994

    1995

    1996

    1997

    1998

    1999

    2000

    2001

    2002

    2003

    2004

    2005

    2006

    2007

    2008

    2009

    2010

    2011

    2012

    2013

    2014

    2015

    2016

    2017

    Year

    Number of Broken Rails

    Broken Rail Histroy

    550

    660

    540

    550

    700

    750

    740

    760

    960

    980

    940

    950

    820

    780

    800

    800

    810

    1020

    900

    880

    750

    730

    760

    950

    830

    740

    721

    593

    556

    708

    664

    679

    669

    617

    752

    709

    755

    952

    919

    706

    534

    445

    334

    322

    317

    192

    181

    164

    152

    171

    127

    178

    126

    98

    109

    95

    Sheet3

  • 19

    Service Affecting Failures

  • 20

  • High Expectations: Mission and Ambition“Delivering for passengers and freight by inspiring and collaborating across the rail industry to leverage data and emerging technologies”

    • We want to: move from time based, fix-on-fail maintenance, to intelligence-led predict and prevent regimes

    • We need to: deliver for passengers and freight customers

    • We will do this by: capturing, analysing and exploiting asset data to help the routes prioritise the most critical work

    • We are targeting: 10% service affecting failure improvement

    • As a result we will: safely and affordably improve asset management; reduce faults and service affecting failures; drive greater safety and availability of the railway

    21

  • 22

    From data foundations to improved passenger experience

  • 23

    Predictive and diagnostic analytics

    Collect fault-free and extremefaulty data

    Identify areas of interest usingrelevant analysis techniques and use

    them to create rules

    Apply those rules to other waveformsand match similar features using the

    trained fault data as a basis for scoring

    40%

    • Fault diagnosis for points and prediction of time to failure of track circuits

    • Expert systems and machine learning for Points monitoring

    • Bayesian Reasoning for track circuits

    • All solutions have considered and fully tested human factors

    • Deployment planned Mar 20

  • 24

    Alignment of track geometry tracesAlgorithms developed to allow for alignment of multiple track geometry traces.

    • Identification of Repeat Faults

    • Run on Run trend analysis

    • Identify track works and effectiveness

    • Network Model Changes.

  • 25

    12.94

    11.07

    9.29.2

    7.347.04

    2.422.41.94

    2.573.19

    3.823.433.032.64

    0

    2

    4

    6

    8

    10

    12

    14

    12/1811/1803/10/1805/09/1808/08/1823/05/1818/04/1821/03/18(int) 02/18(int) 01/1829/11/17(int) 10/17(int) 8/1712/07/17

    Alignment - 88m 433.8y (19.7ch) - Embankment near River Evenlode

    Algorithms developed to identify rates of change in TG measures.

    • Track deterioration between train runs.

    • Monitor issues over time

    • Identify P – F curves

    • Identify rates of change and predict when issues will become actionable.

    • Define to maintenance when to intervene.

    • Shift to intervention based on rates of change rather than set RBM levels.

    Supporting risk based maintenance decision making

  • Improved workforce safety – better asset management to remove unplanned maintenance work.

    New products designed for reliable operation – failure modes removed; maintenance needs minimised.

    Long-term view drives whole-life cost modelling –supports accurate investment and funding decisions.

    All the data in one place –Ellipse captures complete picture of asset, work planned, completed and accurate failure diagnostics.

    Implement network-wide operating model, training and competency framework – driven by structured continuous improvement.

    Planned interventions based on asset degradation risk – reducing impact to passengers

    Planned and efficient work – clarity on access and resources needed.

    Aligned maintenance and asset management operation through ISO55001 – data recognised and managed as a critical asset.

    Maintenance work based on asset condition – using accurate data on degradation and failure rates (and backed by associated standards).

    Better knowledge of asset life and whole-life cost –supports improved renewal (and refurbishment decisions).

    On-board train monitoring– reducing costs and delivering real-time information to improve track geometry management.

    Clear KPIs – driving ‘predict and prevent’ maintenance regimes.

    26

    The outcomes – safely delivering for passengers

  • 27

    Supporting today’s engineers to make better decisionsIntelligent Infrastructure will drive the data-driven railway:• Giving our engineers access to up-to-data on

    assets when and where they need it• Supporting engineering knowledge with

    trusted data to make better-informed decisions

    • Allow the routes to carry out ‘predict and prevent’ maintenance and renewals

    • Move away from outdated ‘fix on fail’ regimes • Understand what is likely to go wrong and

    when and the impact a failure will have on railway

    • Intervene ‘with the right work, at the right time, in the right place’

  • 28

    Network Rail have established a team of early engagement leads from its routes and functions across the country to support the educational drive to promote science, technology, engineering and maths – STEM – opportunities for young people

    The Intelligent Infrastructure programme will take a leading role in supporting this ambition by applying real-world experience for children to make the connection between STEM subjects and the new economy

    Inspiring tomorrow’s engineers…

    Britain needs to prepare more young people to fulfil jobs and opportunities in STEM fields due to an aging workforce and to meet the needs of an increasingly innovative

    and data-driven world market

    voestalpine Signaling Fareham Ltd.Slide Number 2voestalpine Railway Systemsvoestalpine SIGNALING FarehamCustomer segmentsGlobal PresenceNetwork Rail framework suppliersSlide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28