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INNOvative monitoring and predictive maintenance solutions on lightweight WAGon

Fact Sheet

Reporting

Results

Objective

This proposal responds to the first Open Calls issued by the Shift2Rail Joint Undertaking, as part of Shift2Rail Horizon 2020 programme. It specifically addresses the topic S2R-OC-IP5-03-2015: Intelligent freight wagon with predictive maintenance. This topic is complementary with topic S2R-CFM-IP5-02-2015: Start-up activities for Freight Automation.
The INNOWAG project will work towards increasing rail freight competitiveness and the development of the next generation of lightweight and intelligent freight wagons by addressing specific challenges in the three essential areas, identified by the call, through three subsequent work streams, namely:
- Work Stream 1 (WS1): Cargo condition monitoring;
- Work Stream 2 (WS2): Wagon design; and
- Work Stream 3 (WS3): Predictive maintenance.
Moreover, INNOWAG will consider the compatibility between the solutions proposed and researched in the three areas, as well as their integration into a novel concept of wagon.
The aim of the proposed INNOWAG project is to develop intelligent cargo monitoring and predictive maintenance solutions integrated on a novel concept of lightweight wagon, which would respond to major challenges in rail freight competitiveness, in relation to the increase of trans
The INNOWAG project will determine how to effectively integrate innovative technologies for cargo condition monitoring into a novel high performance lightweight freight wagon, supported by effective health monitoring technologies, and predictive maintenance models for sustainable and attractive European rail freight. The development of novel technology concepts and predictive maintenance models and procedures will be separately addresses by the INNOWAG work streams.
The concept underpinning the INNOWAG project relies on the actual needs of rail freight for increasing its competitiveness and attractiveness. The INNOWAG project therefore aims at developing a rail freight service that fits the needs of modern manufacturing and supply chain.

Programme(s)

H2020-EU.3.4.8.5. - Innovation Programme 5: Technologies for sustainable and attractive European rail freight

Topic(s)

S2R-OC-IP5-03-2015 - Intelligent freight wagon with predictive maintenance

Call for proposal

H2020-S2RJU-OC-2015-01-2

See other projects for this call

Funding Scheme

Shift2Rail-RIA - Research and Innovation action

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

UNIVERSITY OF NEWCASTLE UPON TYNE

Address

Kings Gate
Ne1 7ru Newcastle Upon Tyne

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 370 000

Website

Contact the organisation

Participants (10)

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Inertia Technology B.V.

Netherlands

EU Contribution

€ 112 000

HAVELLANDISCHE EISENBAHN AKTIENGESELLSCHAFT

Germany

EU Contribution

€ 97 125

LUCCHINI RS SPA

Italy

EU Contribution

€ 86 000

NEW OPERA AISBL

Belgium

EU Contribution

€ 51 062,50

PERPETUUM LIMITED

United Kingdom

EU Contribution

€ 143 750

POLITECNICO DI MILANO

Italy

EU Contribution

€ 133 125

TECHNISCHE UNIVERSITAT BERLIN

Germany

EU Contribution

€ 173 500

UNION DES INDUSTRIES FERROVIAIRES EUROPEENNES - UNIFE

Belgium

EU Contribution

€ 67 500

UZINA DE VAGOANE AIUD SA

Romania

EU Contribution

€ 157 000

VYZKUMNY USTAV ZELEZNICNI, AS

Czechia

EU Contribution

€ 109 500

Project information

INNOWAG

Grant agreement ID: 730863

Project website

Status

Closed project

Start date

1 November 2016
End date

30 June 2019

Funded under:

H2020-EU.3.4.8.5.

Overall budget:

€ 1 500 562,50
EU contribution

€ 1 500 562,50

Coordinated by:

UNIVERSITY OF NEWCASTLE UPON TYNE

United Kingdom

Periodic Reporting for period 1 - INNOWAG (INNOvative monitoring and predictive maintenance solutions on lightweight WAGon)

Reporting period: 2016-11-01 to 2018-04-30

Summary of the context and overall objectives of the project

The Challenge
The rail freight challenge is to increase its competitiveness and attractiveness through a higher productivity and efficiency, as well as by adding new features that would respond to customers and end-users demands.
Innovation in rail freight is driven by both external drivers of change (such as demographics, globalisation, technology, sustainability, regulation, etc.) and internal drivers of change that are specific to the rail freight market (e.g. time and distance of services, demand of new logistic services, etc.). Such requirements have to be fulfilled through development of hardware and software technologies to be implemented in new equipment design and management of information.
INNOWAG tackles the internal drivers of change, with the overall goal to increase the rail market share in accessible segments, and thus support the shift of freight transport to rail. INNOWAG develops innovations in three macro-areas, from concept to laboratory and real environment testing, in view of further integration and implementation.

Project's objectives and approach
• Increase freight rail capacity by optimising and lightweighting the wagon design for increasing the ratio payload/wagon tare;
• Increase freight logistic capabilities by:
i. offering real time data on freight location and condition through a smart self-powered sensor system and communication technologies;
ii. optimised wagon modular design capable to transport various types of goods; and
iii. improved availability to freight customers, enabled by a safer and more reliable and interoperable freight service;
• Increase RAMS and reduce LCC by implementing modern and innovative predictive maintenance analytics, models, and procedures.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

INNOWAG - project concept

INNOWAG - challenge and approach

Project information

INNOWAG

Grant agreement ID: 730863

Project website

Status

Closed project

Start date

1 November 2016
End date

30 June 2019

Funded under:

H2020-EU.3.4.8.5.

Overall budget:

€ 1 500 562,50
EU contribution

€ 1 500 562,50

Coordinated by:

UNIVERSITY OF NEWCASTLE UPON TYNE

Deliverables

Documents, reports (10)

Overall measurement concept for cargo condition monitoring system

Deliverable report presenting sensing system configuration, and details on installation, components for monitoring goods in both a container and a tank wagon.

Benchmark and market drivers for an integrated intelligent and lightweight wagon solution

Deliverable report presenting the benchmark results in all three areas/work streams, with respect to the identified market drivers and aspects related to the integration of novel technologies and solutions into a single concept.

Dissemination and communication plan

Summary report describing the communication and dissemination tools planned to be developed and employed within the project.

Specifications and requirements for INNOWAG technologies and solutions

Deliverable report summarising the requirements and technical specifications for the innovative technologies and solutions envisaged by INNOWAG’s work streams, including considerations on aspects related to a fully integrated system. This report validates milestone MS2 (agreement on specifications for further innovations).

Energy concept for cargo condition monitoring

Deliverable report presenting the required setup to enable the powering of the cargo condition monitoring system (potentially using a combination of vibration-based and RF-based energy harvesting technologies).

Project management and quality plan

Deliverable report including guidelines, Gantt, Deliverable and Milestone tables, document and presentation templates, deliverable peer review process, risk register, etc.

Set up an exploitation plan for the project

An exploitation plan for INNOWAG main results will be delivered at the beginning of the work package.

Integration of cargo monitoring and predictive maintenance solutions on the lightweight wagon concept

Deliverable report providing recommendations and technical solutions for the integration of the project outcomes in a single intelligent wagon concept.

Cost-driven and reliability driven analysis of wagon condition data

A report summarising the selection of condition-related and maintenance data and the analyses performed on the data in a cost driven and reliability driven way.

Wireless data communication concept for cargo condition monitoring system

Deliverable report presenting elaborated concept for wireless data communication to ensure secure, regular and reliable transfer of information from the condition monitoring system to the respective recipients.

Websites, patent fillings, videos etc. (1)

Publications

Publications not available

Project information

INNOWAG

Grant agreement ID: 730863

Project website

Status

Closed project

Start date

1 November 2016
End date

30 June 2019

Funded under:

H2020-EU.3.4.8.5.

Overall budget:

€ 1 500 562,50
EU contribution

€ 1 500 562,50

Coordinated by:

UNIVERSITY OF NEWCASTLE UPON TYNE

Project information

INNOWAG

Grant agreement ID: 730863

Project website

Status

Closed project

Start date

1 November 2016
End date

30 June 2019

Funded under:

H2020-EU.3.4.8.5.

Overall budget:

€ 1 500 562,50
EU contribution

€ 1 500 562,50

Coordinated by:

UNIVERSITY OF NEWCASTLE UPON TYNE

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Last update: 4 August 2017

Record number: 206229

CORDIS

Objective

Coordinator

Participants (10)

Project information

Periodic Reporting for period 1 - INNOWAG (INNOvative monitoring and predictive maintenance solutions on lightweight WAGon)

Project information

Deliverables

Publications

Project information

Project information

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