Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS

Daedalus is conceived to enable the full exploitation of the CPS (Cyber Physical System) 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. Daedalus proposes the deployment of an Automation Ecosystem for a multi-sided market based on a new generation of distributed intelligent devices (CPS) that, existing both in the real and in the cyber (simulated) world, can be aggregated, orchestrated and re-configured to exhibit complex manufacturing behaviours that optimize the performance of future shop floor. The initiative focuses on key topics for the competitiveness of Europe and its companies, encompassing a variety of interdisciplinary tasks with the objective of deploying a digital platform and multi-sided ecosystem for the industrial automation domain.
More information
Website: http://daedalus.iec61499.eu
Duration: 36 months
Start date: 01-10-2016
End date: 30-09-2019
Number of participants: 14
Total budget - EC contribution: 5079796 Euro - 3994296 Euro
Call topic: Digital Automation - Novel architectures for factory automation based on CPS and IoT (FoF.2016.11-ii)
Instrument: Collaborative project (generic)

Challenges - (11)  

  1. Economic sustainability

    1. Realising reconfigurable, adaptive and evolving factories capable of small scale production

    2. High performance production, combining flexibility, productivity, precision and zero-defect while remaining energy-efficient

    3. Resource efficiency in manufacturing, including addressing the end-of-life of products.

  2. Social sustainability

    1. Increasing human achievements in manufacturing systems

    2. Safe and attractive workplaces

  3. Environmental sustainability

    1. Reducing the consumption of energy, while increasing the usage of renewable energy

    2. Reducing the consumption of water and other process resources.

    3. Optimising the exploitation of materials in manufacturing processes

Technologies and enablers - (10)  

  1. Mechatronics for advanced manufacturing systems

    1. Control technologies

    2. Cognition-based intelligent features within machinery and robots

    3. Intelligent machinery components, actuators and end-effectors

  2. Information and communication technologies

    1. ICT solutions for modelling and simulation tools

  3. Modelling, simulation and forecasting

    1. Virtual models spanning all levels of the factory life and its life-cycle

  4. Standards

    1. ICT standards

Applications - (No information available)  

Research priorities - (12)  

  1. Domain 2: Adaptive and smart manufacturing systems

    1. Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines

      1. RP 2.2 Embedded cognitive functions for supporting the use of machinery and robot systems in changing shop floor environments

      2. RP 2.5 Mechatronics and new machine architectures for adaptive and evolving Factories

      3. RP 2.6 Mechatronics and new machine architectures for high performance and resource-efficient manufacturing equipment

      4. RP 2.9 Multi-disciplinary engineering tools for mechatronics engineering

    2. Sub-Domain 2.2 Dynamic Production systems and Factories

      1. RP 2.10 Adaptive Process Automation and Control for a sensing shop floor

      2. RP 2.11 Dynamic Manufacturing Execution Environments for their Smarter Integration into dynamic and agile factories

      3. RP 2.12 Monitoring, Perception & Awareness on Manufacturing

  2. Domain 3: Digital, virtual and resource-efficient factories

    1. RP 3.7 On-demand modular and replicative models for faster factory initialisation

Diverse - (No information available)