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

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

Objetivo

The objective is to establish an IT environment for the integration and analytics of data streams coming from high volume (mass) products with cyber physical features, as well from Open Data Sources, aiming to offer new cross sectorial services and focusing on the commercial confidentiality, privacy and IPR and ethical issues using an context sensitive approach. The project addresses cross-stream analysis of large data volumes from mass cyber physical products (CPP) from various industrial sectors such as automotive, and home automation. The business objective of the research is to allow for analyses of such data streams in combination to other (non-industrial, open) data streams and for the establishment of diverse enhanced sectorial and cross-sectorial services. The project will develop: (i) New models for integration and analytics of data streams coming from multi-sectorial CPP, including shared systems of entity identifiers applicable to multi-sectorial CPP (as well as the definition of agreed data models for data streams from multiple CPP aiming at defacto standard; (ii) Ecosystem, including a common Marketplace, and methodology to use such models to build multi-sectorial cloud based services, (iii) Toolbox for real-time and predictive cross-stream analytics, context modelling and extraction, and dynamically changing security policy, privacy and IPR conditions/rules and (iv) set of services such as services based on a combination of data streams from home automation and (electrical) vehicles to provide enhanced local weather forecast and predict and optimise energy consumptions in households. The project will build upon the results from past and current projects, where results from the project AutoMat, addressing services developed based on data streams from vehicles, will be used as a basis for further development aiming to extend it to integrated, cross-sectorial data streams analytics.
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Coordinador

INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH

Dirección

Wiener Strasse 1
28359 Bremen

Alemania

Tipo de actividad

Higher or Secondary Education Establishments

Aportación de la UE

€ 610 951,25

Participantes (7)

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VOLKSWAGEN AG

Alemania

Aportación de la UE

€ 505 739,50

SIEMENS SRO

Chequia

Aportación de la UE

€ 226 060,63

METEOLOGIX AG

Suiza

Aportación de la UE

€ 293 628,13

ATOS SPAIN SA

España

Aportación de la UE

€ 302 990,63

X/OPEN COMPANY LIMITED

Reino Unido

Aportación de la UE

€ 233 720,38

UNIVERSIDAD POLITECNICA DE MADRID

España

Aportación de la UE

€ 322 781,25

VYSOKE UCENI TECHNICKE V BRNE

Chequia

Aportación de la UE

€ 340 618,75

Información del proyecto

Identificador del acuerdo de subvención: 780167

Estado

Proyecto en curso

  • Fecha de inicio

    1 Diciembre 2017

  • Fecha de finalización

    30 Noviembre 2020

Financiado con arreglo a:

H2020-EU.2.1.1.

  • Presupuesto general:

    € 3 505 978,75

  • Aportación de la UE

    € 2 836 490,52

Coordinado por:

INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH

Alemania