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Project detail
Duration: 01.12.2017 — 28.02.2021
Funding resources
Evropská unie - Horizon 2020
- whole funder (2017-12-01 - 2021-02-28)
On the project
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.
Description in CzechCílem projektu je vybudovat IT prostředí pro integraci a analýzy datových toků produkovaných masově používanými výrobky s kyber-fyzikálními rysy a otevřených datových zdrojů. Projekt vytvoří nové služby jdoucí napříč službami specifickými pro jednotlivé sektory s důrazem na zachování důvěrných komerčních informací, soukromí, práv k duševnímu vlastnictví a etických otázek s využitím kontextového přístupu.
KeywordsData stream analysis, Real time data analytics, Web and information systems, database systems, Cyber Physical Products, Marketplace, Context Sensitivity, Security, Data Protection, Cross, Sectorial Services, Agreed Data Model
Mark
780167
Default language
English
People responsible
Fajčík Martin, Ing., Ph.D. - fellow researcherSmrž Pavel, doc. RNDr., Ph.D. - principal person responsible
Units
Department of Computer Graphics and Multimedia - beneficiary (2017-08-15 - 2020-11-30)
Results
HERRMANN, E.; MOLINA RUIZ, E.; RODRIGUEZ GONZÁLEZ, A.; SMRŽ, P.; WENDT, J.; WOLFE, C.; ZANIN, M. Developing a Data Analytics Toolbox to Support CPS-based Services. In Mediterranean Conference on Embedded Computing. New York: IEEE Biometric Council, 2020. p. 58-64. ISBN: 978-1-7281-6949-1.Detail
CORREIA, A.; WOLFF, C.; ZANIN, M.; MENASALVAS, E.; HERRMANN, E.; CORRAL, V.; KACHELMANN, M.; DELONG, R.; SMRŽ, P. Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products. In Proceedings of Cyber-Physical Social Systems (CPSS 2019) co-located with the 9th International Conference on the Internet of Things (IoT 2019). CEUR Workshop Proceedings. Madrid: CEUR-WS.org, 2019. p. 1-8. ISSN: 1613-0073.Detail