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Cross-CPP

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Ecosystem for Services based on integrated Cross sectorial Data Streams from mul...

Ecosystem for Services based on integrated Cross sectorial Data Streams from multiple Cyber Physical Products and Open Data Sources 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 sect... ver más

28/02/2021

ATB

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

INSTITUT FR ANGEWANDTE SYSTEMTECHNIK BREMEN G... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-02-28

ICT-14-2016-2017: Big Data PPP: cross-sectorial and c...

I+D

Cerrada hace 8 años

0% 81% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

ATB

610.95K€ | Lider

SIEMENS SRO

226.06K€ | Participante

KACHELMANN GMBH

381.94K€ | Participante

ECMWF

233.72K€ | Participante

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Duración del proyecto: 39 meses Fecha Inicio: 2017-11-24
Fecha Fin: 2021-02-28

Líder del proyecto

INSTITUT FR ANGEWANDTE SYSTEMTECHNIK BREMEN G... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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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