Asset information and data management for smart rail systems conference London June 26th
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The document is an agenda for the 'Rail Asset Information' conference held on June 26, 2014, in London, featuring various speakers from rail infrastructure organizations discussing advancements in asset management, technology integration, and data utilization in the rail sector. Key topics include the importance of remote condition monitoring, predictive maintenance, and the development of unified information strategies to enhance operational efficiency and decision-making. The event aims to foster networking among industry leaders, technology specialists, and academics to drive innovation in asset performance management.
Asset information and data management for smart rail systems conference London June 26th
- 1. 26th June 2014 London ICO Conference Centre SPEAKING OR SPONSORSHIP call James Nesbitt +44 (0) 207 096 1754 or james@sagacity-media.com TO REGISTER VISIT Confirmed speakers: London Underground, Kuldeep Gharatya, The Head of Railway Systems London Underground, John Downes, Engineering Assurance & Efficiency Manager London Overground, Peter Kiernan, Head of Infrastructure Management RFF, Talhat Khechen, Head of Engineering Telecom Costain, Ross Agnew, Director of Technology Solutions SNCF, Marc Antoni, Asset Management and Head of Technological Innovation ProRail, Jan Swier, Strategic advisor and project leader Infrabel, Stéphanie Hammer, Program Manager University of Birmingham, Professor Clive Roberts, Head of Rail research Crossrail, Ross Dentten, Asset Information & Configuration Manager Lloyd’s Register Rail Europe, Ilse Vermeij, Product Manager Measurement Services HS2, Mark Eaden, Asset Information Manager and Jon Kerbey, Head of Systems and information Metro de Madrid, Carlos Esquiroz, Engineering and Maintenance Director SNCF, Christian Daniel, ECM Business Processing Director of the Rolling Stock Department Why you should attend: • Hear how Rail Operators and Infrastructure owners are developing new IT based strategies to gain competitive advantage • Understand how new technologies initiatives can enhance remote condition monitoring and predictive maintenance • Learn how your organisation can turn data into actionable intelligence • Network with rail and infrastructure leaders, technology specialists, leading academics and consultants putting IT at the heart of their business strategy. SponsorsCo Sponsors Exhibitors The convergence of technology and infrastructure has the ability to transform our communities and economy, reduce emissions as well provide an opportunity for business leaders to optimise asset performance and reduce cost. To realise the benefits of next generation intelligence, a unified vision and strategy is required to ensure we are understanding how to best leverage the information we are receiving, and how we are managing the vast amount of data associated with new systems. Asset Information and data management will allow more precise decisions to be made to balance cost, risk and performance, supporting operational effectiveness and efficiency. We will be addressing how the European rail sector are developing and implementing asset information strategies, managing data across multiple disparate systems and leveraging new technologies to succeed. Overview WWW.RAILASSETINFORMATION.COM www.railassetinformation.com
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Programme - 26th June 2014 Venue: ICO Conference Centre 22 Berners Street, London, W1T 3DD 8.30 Registration 9.00 Chairman’s Opening Remarks University of Birmingham, Professor Clive Roberts, Head of Rail Research 9.10 The changing landscape created by increasing asset data and information volumes – an urban railway’s perspective of the challenges and opportunities. • Setting the scene in terms of the world’s oldest railway and the fact that we have been • Looking after it reasonably successfully for over 150 years • Explore the landscape in terms of standards regulations and changing business practices • Illustratration of some of the opportunities and challenges this brings • A way forward • A view from the Transport Systems Catapult (KKG) • A vision of a data driven future (KKG) Capital Programmes Directorate of London Underground, Kuldeep Gharatya, Engineering Director at the Transport Systems Catapult London Underground, John Downes, Engineering Assurance & Efficiency Manager 9.40 Enabling Quality Asset Information to support the Crossrail Smart Railway • What is Crossrail? • Good Practice Asset Management • The Crossrail Smart Railway • Quality Asset Information • Sharing Good Practice • Smart Benefits Crossrail, Ross Dentten, Asset Information & Configuration Manager 10.10 From Asset Management to Asset Intelligence • The rise of asset intelligence, market pressures • The art of the possible, asset information and agile solutions • Snapshot of reality, asset insight and intervention • Barriers to Intelligence, systems and knowledge Costain, Ross Agnew, Director of Technology Solutions 10.40 Morning coffee and networking 11.10 The use of remote condition monitoring to aid predictive maintenance • Use of points condition monitoring • Daily interrogation of data by signalling technicians • Use of switch “signatures” and alert thresholds • Variance assessment and fault identification London Overground at Transport for London, Peter Kiernan, Head of Infrastructure Management 11.40 Asset Management and Information; two sides of the same coin • The essence of asset management • The asset management process and focus • The need of risk management and condition monitoring • The connection between asset management business and information & data management • How to grow to one Rail Asset Information Model for the whole sector ProRail, Jan Swier, Strategic advisor and project leader 12.10 Introduction of RFF Telecom Networks: Towards Unified IP Network • General overview of RFF Railway and Telecom Infrastructure • Transformation: Main drivers to go towards IP • Motivations: Change of technology Railways strategy target towards unified IP Network RFF, Talhat Khechen, Head of Engineering Telecom 12.40 Asset management in a “practical way” in the railway domain in France and with the UIC • The way we use the patrimony datas to elaborate the right information (cross the many asset type as signaling, track, switches, earth work) • Enhancing decision making abilities and balancing between maintenance and renewal • Leveraging data for the adaptation of the maintenance level, adaptation of the next product design SNCF, Marc Antoni, Asset management, Head of technological Innovation 13.10 Networking Lunch 14.10 SNCF wants to increase the maturity of safety processes by developing Data Input • Automatic Input to Avoid Manual Data Entry (Highest reliability than manual input) • Data Entry done in real-time (avoid Job first and Traceability later) • Increase in throughput • Refine Processes (Quality Improvement) • Reconciliation of Data (Cross Checking) • Easier Monitoring of Assemblies and components • Integration of the solution in a vertical process (from component manufacturer to ECM) Share Results • Real time monitoring of Technical and Stock indicators for Asset Management • Allow used of Business Intelligence to create dedicated solutions • And to integer its processes in a Big Picture … SNCF, Christian Daniel, ECM Business Processing Director of the Rolling Stock Department 14.40 How we may use functional data for best investments • More data is not equal to better information. It could be just noise • The TCO (Total Cost of Ownership) vs The cheapest one option. How we can use the right mix of accruable data and good maintenance practice to reliable investment decisions • The never-ending change. The value is not just only a question of money, but the service offered to the clients, so data must show the functional stage of assets. • Data for intangible assets: The Know How involved in projects or the delivery models are connected with the assets used for. May we use those issues as data for better investments? Metro de Madrid, Carlos Esquíroz, Engineering and Maintenance Director 15.10 Smart data collection to continuously monitor the status of your infrastructure – an Intelligent Rail example • Creating Intelligent applications by smart use of existing assets • Benefitting from rapid changes in data collection technology • Continuous data logging from passenger trains • Statistical modelling of maintenance requirements Lloyd’s Register Rail Europe, Ilse Vermeij, Product Manager, Measurement Services 15.40 Coffee and afternoon networking 16.10 Case study: There is a long way to go on HS2 before we will be in a position to manage operational assets. We are configuring our Asset Information Management Systems (AIMS) with an eye towards future operations so that the data we hold on our planned assets supports and informs each stage of the project lifecycle, from design through construction and into operation. It is our intention that the data held in the AIMS will grow and develop with the project so that it becomes the core of the Asset Management Systems for the operational railway. HS2, Mark Eaden, Asset Information Manager and HS2, Jon Kerbey, Head of Systems and Asset Information 16.40 Approaches to data management that support system wide decision making • The data driven railway • Semantic web technologies • Ontology • Early case studies University of Birmingham, Clive Roberts, Head of Rail Research 17.10 Infrabel Case study • Asset monitoring: going to condition based maintenance • Incident data analysis • Degradation models for predictive maintenance • Access policy to critical assets: guarantee availability • Asset information strategy: data governance, master data management, opportunities, risks, challenges Infrabel, Stephanie Hammer, Program Manager 17.40 Close of Conference WWW.RAILASSETINFORMATION.COM To register please visit www.railassetinformation.com Sponsorship: Luncheons, stand space, networking dinners and drinks are available. Sagacity Media Ltd. All rights reserved 2014. All programme contents and speakers are subject to change without liability. All content confirmed at time of press. Media partners include: