Opendata, web and dolomites

PROPHESY SIGNED

Platform for rapid deployment of self-configuring and optimized predictive maintenance services

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "PROPHESY" data sheet

The following table provides information about the project.

Coordinator
INTRASOFT INTERNATIONAL 

Organization address
address: PLACE DU CHAMP DE MARS 5/10
city: BRUXELLES
postcode: 1050
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Project website http://prophesy.eu/
 Total cost 7˙100˙131 €
 EC max contribution 5˙528˙318 € (78%)
 Programme 1. H2020-EU.2.1.5.1. (Technologies for Factories of the Future)
 Code Call H2020-FOF-2017
 Funding Scheme IA
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INTRASOFT INTERNATIONAL BE (BRUXELLES) coordinator 620˙647.00
2    PHILIPS CONSUMER LIFESTYLE BV NL (EINDHOVEN) participant 698˙512.00
3    JAGUAR LAND ROVER LIMITED UK (COVENTRY) participant 457˙900.00
4    MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE MARIA ARIZMENDIARRIETA S COOP ES (ARRASATE) participant 401˙970.00
5    NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT PT (CAPARICA) participant 401˙562.00
6    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 365˙562.00
7    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) participant 354˙057.00
8    MAG IAS GMBH DE (EISLINGEN) participant 341˙954.00
9    RESEARCH AND EDUCATION LABORATORY IN INFORMATION TECHNOLOGIES EL (Athens) participant 337˙602.00
10    MARPOSS MONITORING SOLUTIONS GMBH DE (EGESTORF) participant 328˙125.00
11    INDUSTRIAL CONSULTING AUTOMATION RESEARCH ENGINEERING BE (MONS) participant 321˙081.00
12    SENSAP MICROSYSTEMS ANONIMI ETAIRIA ILEKTRONIKON SYSTIMATON KAI EFARMOGON LOGISMIKOU EL (ATHINA) participant 304˙500.00
13    UNPARALLEL INNOVATION LDA PT (PORTIMAO) participant 301˙717.00
14    OCULAVIS GMBH DE (AACHEN) participant 293˙125.00

Map

 Project objective

The advent of Industrie4.0 provides opportunities for adopting predictive maintenance (PdM), which represents the ultimate maintenance vision for manufacturers and machine vendors. Nevertheless, there are still barriers to successful deployment including the issues of data fragmentation, limited data interoperability, poor deployment of advanced analytics and lack of effective integration with other systems at the enterprise and field levels. PROPHESY will deliver and validate (in two complex demonstrators) in real plants a PdM services platform, which will alleviate these issues based on the following innovations: • A CPS platform optimized for PdM activities (PROPHESY-CPS), which will enable maintenance driven real-time control, large scale distributed data collection and processing, as well as improved production processes driven by maintenance predictions and FMECA activities. • Novel Machine Learning and Statistical Data processing techniques for PdM (PROPHESY-ML), which will be able to identify invisible patterns associated with machine degradation and assets depreciation, while at the same time using them to optimize FMECA activities. • Visualization, knowledge sharing and augmented reality (AR) services (PROPHESY-AR), which will enable remotely supported maintenance that can optimize maintenance time and costs, while increasing the safety of maintenance tasks. • A PdM service optimization engine (PROPHESY-SOE), which will enable composition of optimal PdM solutions based on the capabilities provided by PROPHESY-CPS, PROPHESY-ML and PROPHESY-AR. Service optimization aspects will consider the whole range of factors that impact PdM effectiveness (e.g., OEE, EOL, MTBF and more). PROPHESY will establish and expand an ecosystem of PdM stakeholders around the PROPHESY-SOE, which will serve as a basis for the wider update of the project’s results, as it will offer to the CPS manufacturing community access to innovative, turn-key solutions for PdM operations.

 Deliverables

List of deliverables.
PROPHESY Data Visualization Portal v1 Demonstrators, pilots, prototypes 2020-01-31 16:51:01
Machines and Tools Models v1 Documents, reports 2020-01-31 16:51:01
Dissemination and Commination Plan Documents, reports 2020-01-31 16:51:01
Security, Trustworthiness and Data Protection Framework v1 Demonstrators, pilots, prototypes 2020-01-31 16:51:00
Specification of Data Assets and Services Documents, reports 2020-01-31 16:51:00
Automatic Data Collection v1 Demonstrators, pilots, prototypes 2020-01-31 16:51:00
Training and Knowledge Sharing Platform v1 Demonstrators, pilots, prototypes 2020-01-31 16:51:01
PROPHESY-SOE Specifications Documents, reports 2020-01-31 16:51:00
Demonstrators Sites Preparation Report v1 Documents, reports 2020-01-31 16:51:01
Demonstrators Sites Preparation Report v2 Documents, reports 2020-01-31 16:51:01
PROPHESY-CPS Middleware Infrastructure v1 Demonstrators, pilots, prototypes 2020-01-31 16:51:00
Platform Architectures and Ecosystem Specifications v1 Documents, reports 2020-01-31 16:51:00
Service Bricks Specifications v1 Documents, reports 2020-01-31 16:51:01
Platform Architectures and Ecosystem Specifications v2 Documents, reports 2020-01-31 16:51:00
Visualization and AR Specifciations Documents, reports 2020-01-31 16:51:01
Digital Modelling and Interoperability v1 Documents, reports 2020-01-31 16:51:00
PROPHESY-CPS Specifications Documents, reports 2020-01-31 16:51:00
Report on Dissemination and Communication Activities v1 Documents, reports 2020-01-31 16:51:01
Report on Standardization Activities and Collaboration with Associations v1 Documents, reports 2020-01-31 16:51:01

Take a look to the deliverables list in detail:  detailed list of PROPHESY deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Giovanni Di Orio, Pedro Maló, José Barata
NOVAAS: A Reference Implementation of Industrie4.0 Asset Administration Shell with best-of- breed practices from IT engineering
published pages: , ISSN: , DOI:
onference: IECON\'19 - IEEE 45th Annual Conference of the IEEE Industrial Electronics Society, At Lisbon, Portugal 2020-01-31
2019 Kefalakis, Roukounaki, Soldatos
Configurable Distributed Data Management for the Internet of the Things
published pages: 360, ISSN: 2078-2489, DOI: 10.3390/info10120360
Information 10/12 2020-01-31
2017 Mikel Iturbe, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria
Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends
published pages: 1-17, ISSN: 1939-0122, DOI: 10.1155/2017/9150965
Security and Communication Networks 2017 2020-01-31

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PROPHESY" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PROPHESY" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.5.1.)

FIT4FoF (2018)

Making our Workforce Fit for the Factory of the Future

Read More  

OPEN_NEXT (2019)

Company-Community Collaboration for Open Source Development of products and services

Read More  

MF 2019 (2019)

MANUFUTURE 2019 - Sustainable Smart Manufacturing

Read More