MUSIC | MUlti-layers control&cognitive System to drive metal and plastic production line for Injected Components
01-09-2012
-31-08-2016
Projects overview
22 items found
CREMA | Cloud-based Rapid Elastic MAnufacturing
01-01-2015
-31-12-2017
FACTS4WORKERS | Worker-Centric Workplaces in Smart Factories
01-12-2014
-30-11-2018
ICP4Life | An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle
01-01-2015
-31-12-2018
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ICT performance characteristics
Comment: Several communication technologies depending on the service:
Ethernet, OPC, OPC UA
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Comment: ICP4Life will permit and demonstrate the design of products (machines, molds...) adapted to the manufacturing user requirements using the CUSTOMIZER and DESIGNER. This involves also the suppliers of machine components. For example: INERTIA is a sensor provider participating in the Project. The integration of sensors in complex products (machines) in a seamless way is the approach of the DESIGNER component of the platform. This way; ICP4LIFE permits an easy and friendly integration of field devices (sensors) in the production line equipment (machines) in order to acquire data and provide new services
Result items:
I#Services: the ICP4Life Designer component focuses on the machine level, while integrating design process on sub-system level
BEinCPPS | Business Experiments in Cyber Physical Production Systems
11-01-2015
-31-10-2018
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ICT performance characteristics
Result items:
OPC-UA for M2M communication, and NGSI for data publishing on the cloud
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Result items:
On the Field level is deployed Whirlpool-specific hardware (Controller and Actuator boards) and software (the Test Executor) that are directly connected to the Product under test.
The experiment involves the "CPS-ization" of a mechanical piece of equipment used in the plastic injection process: the mold. It will be enabled with sensors to capture the physical properties relevant during the injection process, mainly temperature and pressure. In certain variations of the smart mold, it will also drive electrical actuators to perform in-mold mechanical movements, such as piece ejection or product version-switching.
Sensors:
-Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated
-Pressure: KISTLER 6190C
Actuators:
-Stepper motor: SM2863-5155
AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing
01-10-2016
-30-09-2019
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ICT performance characteristics
Comment: Goal: AUTOWARE will establish and push forward an open CPPS ecosystem, allowing SMEs to access all the different components in order to develop digital automation cognitive solutions for their manufacturing processes. .
Leveraging reference heterogeneous communications and networking architecture to support connectivity & data management in CPPS. To allow the interaction and interworking of the heterogeneous communications and networking technologies necessary to support the ubiquitous connectivity of CPPS.
THOMAS | Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems
01-10-2016
-31-03-2021
SAFIRE | Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services
01-10-2016
-30-09-2019
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ICT performance characteristics
Interoperability (ICT)
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Comment: Cloud based secure infrastructure for reconfiguration and optimisation.
The envisaged SAFIRE infrastructure will be an add-on for an existing production system or next generation smart factory operating system, allowing to transform such production systems into advanced production systems capable of real-time reconfiguration and optimisation.
HORSE | Smart integrated Robotics system for SMEs controlled by Internet of Things based on dynamic manufacturing processes
11-01-2015
-31-07-2020
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ICT performance characteristics
sustainablySMART | Sustainable Smart Mobile Devices Lifecycles through Advanced Re-design, Reliability, and Re-use and Remanufacturing Technologies
01-09-2015
-31-10-2019
TWIN-CONTROL | Twin-model based virtual manufacturing for machine tool-process simulation and control
10-01-2015
-30-09-2018
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ICT performance characteristics
Result items:
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Result items:
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
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ICT performance characteristics
Comment: Interoperability between installed equipment and infrastructure (machines, environment, people) is critical to capture and process data for the COMPOSITION IIMS components.
Industrial Reference ICT Architectures
Daedalus | Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS
01-10-2016
-30-09-2019
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ICT performance characteristics
Comment: CPS interface: Extension of automation objects to include/interface with behavioral models. HW/SW wrapping of legacy and/or proprietary systems
DISRUPT | Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration
01-09-2016
-31-08-2019
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ICT performance characteristics
Comment: Meta-models will comply to the Open Model Initiative and possibly contribute to it.
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Comment: To establish proof-of-concept by demonstrating the above on real industrial cases from the automotive and the consumer durables industry and measuring the impact in terms of cost efficiency, time-to-production and resource consumption.
Advanced control algorithms and protocols for CPS [CNR]
vf-OS | Virtual Factory Open Operating System
01-10-2016
-31-10-2019
ZAero | Zero-defect manufacturing of composite parts in the aerospace industry
01-10-2016
-30-09-2019
5G-Ensure | 5G Enablers for Network and System Security and Resilience
01-11-2015
-31-10-2017
MANTIS | Cyber Physical System based Proactive Collaborative Maintenance
01-05-2015
-31-07-2018
I-MECH | Intelligent Motion Control Platform for Smart Mechatronic Systems
01-06-2017
-31-05-2020
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ICT performance characteristics
Interoperability (ICT)
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Comment: I-MECH will develop a set of smart building blocks, embedding leading edge capabilities from our academic partners, which can be used for rapid development of the lower layers of these high performance motion control systems. Service Oriented Architecture (SOA) concepts will be used to achieve a high degree of configurability, scalability and interoperability of the individual components, while maintaining the reliability, safety, certifiability and time-to-market benefits of off the shelf solutions. The project vision is to provide enhanced motion control intelligence for wide range of CPS involving actively controlled moving elements. In consequence, such CPS will:
- be able to measure the performance of its individual instrumented parts (drives, sensors, actuators, electronics)
- optimize and adapt control actions according to condition and machine dynamics changes
- be able to actively detect and reject residual vibrations when pushing machine performance to the physical limit
- learn during repeating tasks and optimize its performance automatically
- accommodate new sensors and actuators with different performance profiles
- integrate multiple motion and control activities on multi-many core platforms
Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories
01-10-2017
-31-03-2021
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ICT performance characteristics
Comment:
Α Web API will return semantic data. The communication interface is through the SPARQL query engine. Z-BRE4K ontology is implemented with the Open Semantic Framework (OSF), an integrated software stack using semantic technologies for knowledge management. Furthermore, JSON formatted data from the shop floor is transferred through a MQTT broker, to be finally stored in I-LiKe machines internal data repository. IDS connectors are used to transform data into the NGSI format, move the data to the ORION context broker to be finally consumed by other applications. Also, the Quality Information Framework (QIF) standard guarantees interoperability since it defines an integrated set of information models that enable the effective exchange of metrology data throughout the entire manufacturing quality measurement process – from product design to inspection planning to execution to analysis and reporting. OpenCPPS (part of AUTOWARE) will provide support for selected mainstream communication protocols and will define the proper interfaces for other communication protocols to be plugged-in.
Comment:
The Z-Bre4k solution is based on the blackboard architectural model. This model is mainly an artificial intelligence approach, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution. Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state. In this way, the specialists work together to solve the problem. The blackboard model was originally designed as a way to handle complex, ill-defined problems, where the solution is the sum of its parts. The blackboard component acts as a central repository system. The rest of the software applications (components) act independently at the common data structure stored on the blackboard, they respond on changes and create new reactions according to changes. Interaction between components is implemented via the blackboard.
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence
01-10-2020
-30-09-2023
The equipment and devices are sensorized to be deeper monitored