
HMS TECHNOLOGY CENTER RAVENSBURG GMBH
HMS TECHNOLOGY CENTER RAVENSBURG GMBH
1 Projects, page 1 of 1
Open Access Mandate for Publications assignment_turned_in Project2016 - 2019Partners:Luleå University of Technology, NXT, QBROBOTICS SRL, CNR, OWL SOLUTIONS SA +9 partnersLuleå University of Technology,NXT,QBROBOTICS SRL,CNR,OWL SOLUTIONS SA,BLUEBOTICS SA,SCHU,HMS TECHNOLOGY CENTER RAVENSBURG GMBH,TTS TECHNOLOGY TRANSFER SYSTEMS SRL,JETTER AG,SYNESIS,SPINDOX UK LTD,LIBELIUM,SUPSIFunder: European Commission Project Code: 723248Overall Budget: 5,079,800 EURFunder Contribution: 3,994,300 EURDaedalus is conceived to enable the full exploitation of the CPS concept of virtualized intelligence, through the adoption of a completely distributed automation platform based on IEC-61499 standard, fostering the creation of a Digital Ecosystem that could go beyond the current limits of manufacturing control systems and propose an ever-growing market of innovative solutions for the design, engineering, production and maintenance of plants’ automation. The following objectives will be reached: -)Ease the conception, development and distribution of intelligence into CPS for real-time execution of orchestrated manufacturing tasks; -)Foster interoperability of CPS from different vendors at orchestration-level (= “between CPS”); -)Simplify the design, implementation and integration of optimal coordinating control intelligence of CPS; -)Enable near-real-time co-simulation of manufacturing systems as a fully integrated “service” of a CPS; -)Create a Digital Marketplace to simplify the matchmaking between offer and demand within the Ecosystem; -)Conceive a multi-sided business model for the Automation Ecosystem and the corresponding business plans for its Complementors; -)Foster the widespread acceptance of the Ecosystem platform to guarantee success and impact of Daedalus multi-sided market. The project approach is based on 3 technological pillars, one platform pillar and a final ecosystem pillar: 1)IEC61499-based reconfigurable automation platform for distributed orchestration of interoperable CPS; 2)“Simulation-as-a-service” for integrated near-real-time co-simulation of CPS behavioural models; 3)Advanced SDKs for simplified design of hierarchically distributed optimal control applications; 4)Digital Marketplace for the creation of an interdependent ecosystem of automation solutions providers; 5)Proof-of-concept showcases to accelerate the involvement of “complementors” and the maturation of the Ecosystem.
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