Ecosystem for Services based on integrated Cross-sectorial Data Streams from multiple Cyber Physical Products and Open Data Sources

Projektinformationen

Cross-CPP

ID Finanzhilfevereinbarung: 780167

DOI

10.3030/780167

Projekt abgeschlossen

EK-Unterschriftsdatum 24 November 2017

Startdatum 1 Dezember 2017

Enddatum 28 Februar 2021

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten

€ 3 505 978,75

EU-Beitrag

€ 2 836 490,52

Koordiniert durch

INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH
Germany

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (4)

Public Innovation Concept

Public version of the innovation concept.

Cross-CPP Methodology for using integrated data streams from cross sectorial CPPs

Methodology to use agreed data models to build multi-sectorial, context sensitive cloud based services based on cross- stream analytics, new business opportunities

Open data use plan (M18)

Development of an Open data use that details what types of data generated by the project will be open, according to “Guidelines on Data Management in Horizon 2020”.

Open data use plan (M6)

Development of an Open data use that details what types of data generated by the project will be open, according to “Guidelines on Data Management in Horizon 2020”.

Websites, patent fillings, videos etc. (3)

Project Presentation and brochure (M4)

Will be issued according to the predefined rules at the beginning of the project. A leaflet of the project will be made and regularly updated.

Project Presentation and brochure (M18)

Will be issued according to the predefined rules at the beginning of the project. A leaflet of the project will be made and regularly updated.

Project website

In the project website, the project, partners and current dissemination activities and work on the project will be presented.

Demonstrators, pilots, prototypes (1)

Demonstrators

This deliverable covers the implemented three industrial demonstrators of the Cross-CPP Ecosystem in real operational environment including cross sectorial services, The deliverable will also include the report with three cases studies presenting the use of the Cross-CPP Ecosystem at three industrial partners (VW, SIM, ML)

Veröffentlichungen

Peer reviewed articles (1)

Clustering Moving Object Trajectories: Integration in CROSS-CPP Analytic Toolbox

Autoren: Alberto Blazquez-Herranz, Juan-Ignacio Caballero-Garzon, Albert Zilverberg, Christian Wolff, Alejandro Rodríguez-Gonzalez, Ernestina Menasalvas
Veröffentlicht in: Applied Sciences, Ausgabe 11/8, 2021, Seite(n) 3693, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app11083693

Conference proceedings (3)

An Analytics Toolbox for Cyber-Physical Systems Data Analysis: Requirements and Challenges

Autoren: M. Zanin, E. Menasalvas, A. Rodriguez Gonzalez, P. Smrz
Veröffentlicht in: 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 2020, Seite(n) 271-276, ISBN 978-953-233-099-1
Herausgeber: IEEE
DOI: 10.23919/mipro48935.2020.9245355

Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products

Autoren: Ana Correia, Christian Wolff, Massimiliano Zanin, Ernestina Menasalvas, Elisa A. Herrmann, Victor Corral, Miriam Kachelmann, Rance DeLong, Pavel Smrz
Veröffentlicht in: Proceedings of the 1st Workshop on Cyber-Physical Social Systems co-located with the 9th International Conference on the Internet of Things (IoT 2019), 2019, ISSN 1613-0072
Herausgeber: CEUR-WS

Developing a Data Analytics Toolbox to Support CPS-based Services

Autoren: Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodriguez-Gonzalez, Christian Wolff, Juana Wendt, Elisa A. Herrmann, Pavel Smrz
Veröffentlicht in: 2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020, Seite(n) 1-7, ISBN 978-1-7281-6949-1
Herausgeber: IEEE
DOI: 10.1109/meco49872.2020.9134351