DayTiMe
Digital Lifecycle Twins for predictive maintenance
Project description
The DayTiMe project will stretch the Industry 4.0 concept and apply it beyond the manufacturing line environment, for which it was devised, into the healthcare and lifestyle sector. DayTime will develop an overall architecture based on Digital Twins, which means that in addition to each physical object a virtual model will exist enriched with data related to a specific instance of the physical version. DayTiMe will validate its innovations in three non-manufacturing use-cases and one industrial manufacturing use-case.
http://daytimeproject.com
Belgium
Yazzoom
Belgium
Netherlands
Datenna BV
Netherlands
Eindhoven University of Technology
Netherlands
Philips Medical Systems Nederland B.V.
Netherlands
PS-Tech BV
Netherlands
Slimmer.AI
Netherlands
Thunderbyte.AI
Netherlands
University of Groningen
Netherlands
Türkiye
Havelsan
Türkiye
Simeks Tibbi Sistemler A.S.
Türkiye
Tazi Bilisim Teknolojileri A.S.
Türkiye
Turkcell Teknoloji
Türkiye
V.A.S. Telekom
Türkiye
United Kingdom
Centre for Factories of the Future Ltd
United Kingdom
Project publications
- DayTiMe Project results leaflet Project Leaflet 13 June 2022 Download
- ITEA DayTiMe Exploitable Results by Third Parties Exploitable Results 28 March 2022
Work package documents
- D1.2 Public summary Work package document 04 June 2019
- D2.1 Daytime State of the art document on use cases and enabling technologies (Public) Work package document 19 February 2020
- D6.2 Initial dissemination and standardization plan Work package document 03 February 2020
- Daytime-D1.3-Public summary report of project results-Final.pdf Work package document 24 March 2022
- DayTime-D2 1-State-of-the-art-V21-Public.pdf Work package document 11 February 2021
- DayTime-D6.4-Final_Dissemination_and_standardization_plan-Final.pdf Work package document 21 March 2022