Explore the words cloud of the IN2SMART project. It provides you a very rough idea of what is the project "IN2SMART" about.
The following table provides information about the project.
Coordinator |
HITACHI RAIL STS SPA
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://projects.shift2rail.org/s2r_ip3_n.aspx |
Total cost | 7˙290˙632 € |
EC max contribution | 7˙290˙632 € (100%) |
Programme |
1. H2020-EU.3.4.8.3. (Innovation Programme 3: Cost Efficient and Reliable High Capacity Infrastructure) |
Code Call | H2020-S2RJU-CFM-2016-01-1 |
Funding Scheme | Shift2Rail-RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-09-01 to 2019-10-31 |
Take a look of project's partnership.
IN2SMART represents the 1st proposal of the Shift2Rail members referred, according to MAAP, to the following Technology Demonstrators (TDs): 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). These 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. IN2SMART will complement the work of the IN2RAIL lighthouse project to reach a homogeneous TRL4/5 demonstrator. The following Grant will start from IN2SMART to reach the final Integrated Technology Demonstrators that will deploy the overall concept of Intelligent Asset Management.
Requirements analysis and Definition of standard guideline | Documents, reports | 2020-01-24 15:10:31 |
Requirements and KPI | Documents, reports | 2020-01-24 15:10:31 |
Dissemination and data management plans, including project web site | Documents, reports | 2020-01-24 15:10:31 |
Report on track/switch parameters and problem zones | Documents, reports | 2020-01-24 15:10:31 |
Open data: a review of the state-of-the-art | Documents, reports | 2020-01-24 15:10:31 |
Take a look to the deliverables list in detail: detailed list of IN2SMART deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Narezo Guzman, Daniela; Hadzic, Edin; Schuil, Robert; Baars, Eric; Groos, Jörn Christoffer Data-driven condition now- and forecasting of railway switches for improvement in the quality of railway transportation published pages: , ISSN: , DOI: |
4th European Conference of the Prognostics and Health Management (PHM) Society | 2020-01-24 |
2018 |
Narezo Guzman, Daniela; Hadzic, Edin; Schuil, Robert; Baars, Eric; Groos, Jörn C. Turning data driven condition now- and forecasting for railway switches into maintenance actions published pages: , ISSN: , DOI: 10.5281/zenodo.1491428 |
Transport Research Arena 2018 Conference Proceedings | 2020-01-24 |
2018 |
Alice Consilvio; Carlo Crovetto; Benoit Guyot; Andy Kirwan; Nadia Mazzino; Federico Papa Towards an intelligent and automated platform for railway Asset Management published pages: , ISSN: , DOI: 10.5281/zenodo.1441166 |
Transport Research Arena Conference Proceedings 16-19 April 2018 | 2020-01-24 |
2017 |
Beate Dutschk- Jörn C. Groos- Edin Hadzic- Thomas Böhm Deeper insight in railway switch condition nowcasting published pages: , ISSN: , DOI: |
2020-01-24 | |
2017 |
Alice Consilvio, Carlo Crovetto, Nadia Mazzino, Federico Papa La digitalizzazione dell\'infrastruttura ferroviaria: verso una piattaforma intelligente per la manutenzione predittiva published pages: , ISSN: , DOI: |
2020-01-24 |
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The information about "IN2SMART" are provided by the European Opendata Portal: CORDIS opendata.