Descripción del proyecto
El poder de la integración intersectorial de datos
En la actual era digital, la integración y el análisis de enormes flujos de datos plantean un reto importante, sobre todo en el ámbito de los productos ciberfísicos (CPP, por sus siglas en inglés) de gran volumen. La necesidad de integrar y analizar sin fisuras diversos flujos de datos es cada vez más acuciante. En este contexto, el equipo del proyecto Cross-CPP, financiado con fondos europeos, pretende establecer un entorno informático innovador que aborde de frente este reto. Mediante el aprovechamiento de fuentes de datos abiertas, en el proyecto se pretende crear nuevos servicios intersectoriales, respetando al mismo tiempo la confidencialidad comercial, la privacidad, los derechos de propiedad intelectual y las consideraciones éticas a través de un método sensible al contexto. Asimismo, se desarrollarán nuevos modelos, creando un ecosistema de mercado y proporcionando herramientas de análisis en tiempo real. Las aplicaciones prácticas de Cross-CPP son amplias. En conjunto, con el proyecto se aspira a lograr un futuro de industrias interconectadas.
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.
Ámbito científico
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- natural sciencescomputer and information sciencesdata sciencebig data
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2017-1
Régimen de financiación
IA - Innovation actionCoordinador
28359 Bremen
Alemania