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

Financed by the European Commission, Daedalus has been 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, the project proposes an ever-growing market of innovative solutions for the design, engineering, production and maintenance of plants’ automation.

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Multi-disciplinArY integrated simulAtion and forecasting tools, empowered by digital continuity and continuous real-world synchronization, towards reduced time to production and optimization

MAYA aims at developing simulation methodologies and multidisciplinary tools for the design, engineering and management of CPS-based (Cyber Physical Systems) Factories, in order to strategically support production-related activities during all the phases of the factory life-cycle, from the integrated design of the product - process - production system, through the optimization of the running factory, till the dismissal/reconfiguration phase.

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DEMETO - Modular, scalable, and high-performance DE-polymerization by MicrowavE TechnolOgy

Based on an internationally patented technology, the project foresees to bring at industrial level (through a completely functional pilot plant) the usage of microwaves as Process Intensification approach (through an electromagnetic catalytical effect) of the well-known alkaline hydrolysis depolymerization reaction. Such reaction was, up to now, economically unfeasible due to a certain number of technological constraints that DEMETO finally solves.

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Human-mimetic approach to the integrated monitoring, management and optimization of a symbiotic cluster of smart production units

Improvements of the overall sustainability of process industries from an economic, environmental and social point of view require the adoption of a new industrial symbiosis paradigm - the human-mimetic symbiosis - where critical resources (materials, energy, waste and by-products) are coordinated among multiple autonomous Production Units organized in industrial clusters.

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Design for Resource and Energy Efficiency in cerAMic klins

The DREAM project aims to design, develop and demonstrate a radically improved architecture for ceramic industrial furnaces, characterised by optimised energy consumption, reduced emissions, and lower operating costs compared to currently available technological solutions. This will be obtained by substantially enhancing specific furnace parts (control system, refractories, emissions abatement system) and by adding new modules and sub-systems (CHP unit, heat pipes) to the current furnace architecture.

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Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning

The ReCaM project is a three-year project funded by the European Commission in the Horizon 2020 programme under Grant agreement No: 680759. The project aims to develop and demonstrate the next generation flexible production systems leaning on reconfigurable modular production resources and associated engineering tools and control systems. These flexible systems allow rapid reaction to dynamic market changes, such as product variations and demand fluctuations, and changes in production itself, like dynamic routing, mixed-model production and production resource unavailability.

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Integrated development and operations management framework for cyber-physical systems of systems under the paradigm of swarm intelligence

Cyber-physical systems-of-systems (CPSoS) are networks that interconnect cyber-physical systems and people. The focus is on increasing the intelligence of cyber-physical systems at the edge of the networks, so that they show cognitive behaviour and have a high degree of autonomy. The EU-funded 1-SWARM project aims to develop a modular framework for designing robust CPSoS networks characterised by swarm intelligence that meet industrially accepted open standards. Dubbed the 'Swarm Intelligence DevOps Framework', it will aid researchers to engineer CPSoS for diverse scenarios: food packaging and material handling operations, automated guided vehicles in dynamic environments, and flocks of aerial drones used to monitor retail shops.

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Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform

Improving industrial energy efficiency at the European Manufacturing level requires the integration of energy data with advanced optimization techniques to guide a company decision making. E2COMATION intends to address the optimization of energy usage, at multiple hierarchical layers of a manufacturing process as well as considering the whole life-cycle perspective across the value chain. Nowadays, there is a great effort to adopt and use of alternative and renewable energy sources, like wind, solar, hydrogen, etc., but unfortunately for disparate reasons they are not enough or applicable. For such reasons, there must also be an effort in the industrial sector in order to reduce the consumption and the request of energy, minimizing in this sense the damage caused by the use of fossil fuels.