IN2SMART

Publicerad: 11 april 2017

Luleå University of Technology acts as a linked third party to Trafikverket with the responsibility of performing research activities with developing an overall concept for Intelligent Asset Management.

In2smart

Sponsors: EU, H2020
Researchers: Matti Rantatalo, Johan Odelius, Ramin Karim, Adithya Thaduri, Stephen Famurewa, Christer Stenström, Philip Tretten, Mattias Holmgren, Mustafa Aljumaili, Alireza Ahmadi
Contact at Trafikverket: Erik Neldemo
Duration: 2016-2018

IN2SMART represents the first project of the Shift2Rail members referring to the following

Technology Demonstrators (TDs) in the Multi Annual Action Plan:

  • TD3.7 Railway Information Measuring and Monitoring System (RIMMS),

  • TD3.6 Dynamic Railway Information Management System (DRIMS) and

  • TD3.8 Intelligent Asset Management Strategies (IAMS).

In the project, Luleå University of Technology acts as a linked third party to Trafikverket with the responsibility of performing research activities in the TDs. The TDs will deploy an overall concept for Intelligent Asset Management based on the following three main interlinked layers:

  • Measuring and Monitoring systems to collect data from the field related to the railway assets status: IN2SMART will develop unmanned systems for “remote” monitoring; track geometry, switches & crossings and signalling monitoring systems; innovative measurement of train parameters and wheel defects combined with rolling stock identifications systems.

  • Data management, data mining and data analytics procedures to process data from the field and from other sources: IN2SMART will develop standard open interfaces to access heterogeneous maintenance-related data; analytic tools to automatic detect anomalies, discover and describe maintenance workflow processes and predict railway assets decay towards prescriptive maintenance.

  • Degradation models and decision making tools to support maintenance strategies and execution: IN2SMART will lay the foundation of a generic framework for asset management and decision support process. This framework will specify the scope, objectives, workflow and outcomes of the decision-making process for maintenance interventions planning, and will be the enabler for the development of future decision support tools and systems. IN2SMART will also develop an optimised tamping tool and a robot platform for maintenance works.