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Digital Twin for Infrastructure: Predictive Modelling and Data Processing for Asset Health

This presentation discusses the use of digital twin technology and predictive modelling to govern asset health and availability in infrastructure. It explores how data processing and analytics can increase the value of data and contribute to environmental and social sustainability. The speaker also highlights the potential for interconnected ICT systems, maintenance advancements, and condition-based strategies in the railway industry. The goal is to achieve a sustainable and connected railway system by 2025 through collaboration and the implementation of innovative solutions.

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Digital Twin for Infrastructure: Predictive Modelling and Data Processing for Asset Health

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  1. Digital twin for infrastructure: Asset health and availability governed from predictive modelling and data processing.Johan JonssonGenève21 November 2018

  2. Yesterday and today Automatic Ticket Vending Machine, Topical Press 23 Feb 1942 The ‘utsonmobile’ application developed by the Centre for Railway Information System (CRIS)

  3. Are we on the edge of change? The integrated circuit, 1958 Jack Kilby of Texas Instruments

  4. Tasks and Capabilities • Objective: • Mobility as a service • Logistics on demand • Our Capabilities: • Guaranteed asset health and availability • More value from data • Environmental & social sustainability Digital information can help delivering Service timed to the second

  5. Our first steps to Interconnected ICT

  6. Our first steps to Interconnected ICT • Maintenance • from equalised to predictive through condition based • Asset digitisation • location, diagnostics, condition data • Real time network mgmt • slot planning • Digital Twin through smart data • Big data analytics • Single system; moving & fixed objects together • Rolling stock; on board diagnostics • Signalling; traffic decision, position management • Infra; predictive maintenance • Freight; condition based strategies

  7. Reliable railways through smart technology and collaboration

  8. Test and implementation of maintenance related innovations for railway • The vision: A sustainable and connected railway by 2025 • The challenge: • A deregulated system with many stakeholders each with different goals and objectives • Enable preventive maintenance by sharing data and information • To test and implement innovations in the railway system in an efficient way • “The technology is the easy part, the challenge lies within • implementation of new solutions” • The tool: • ePilot - an industry collaboration project initiated by Trafikverket • and operated by Luleå Railway Research Center at Luleå University of Technology

  9. Difficult to see …

  10. Scope for 2030 Digitisation of whole systems • Self-diagnostics • More data analytics • Real time monitoring • AI to predict functionality • Integration of digital systems from other transport modes • 24/7 system availability • Increased and optimised network capacity

  11. Thank you for listening! Trafikverket:johan.jonsson@trafikverket.se ePilot:jonas.larsson@trafikverket.se / Trafikverketveronica.jagare@ltu.se / Luleå University of Technology

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