Summary
BEinCPPS Innovation Action aims to integrate and experiment a CPS-oriented Future Internet-based machine-factory-cloud service platform firstly intensively in five selected Smart Specialization Strategy Vanguard regions (Lombardia in Italy, Euskadi in Spain, Baden Wuertemberg in Germany, Norte in Portugal, Rhone Alpes in France), afterwards extensively in all European regions, by involving local competence centers and manufacturing SMEs.
The final aim of this Innovation Action is to dramatically improve the adoption of CPPSs all over Europe by means of the creation, nurturing and flourishing of CPS-driven regional innovation ecosystems, made of competence centers, manufacturing enterprises and IT SMEs. The BE in CPPS project stems upon three distinct pillars:
- A FI-based three-layered (machine-factory-cloud) open source platforms federation, integrated from state-of-the-art R&I advances in the fields of Internet of Things, Future Internet and CPS / Smart Systems and able to bi-directionally interoperate data pertaining to the machine, the factory and the cloud levels.
- A pan-European SME-oriented experimentation ecosystem. In a first phase of the project, the five Champions will provide requirements to the platforms integrators. In a second phase, an Open Call for IT SMEs developers (applications experiments) will award 10 third parties. In a final third phase, the extended platform will be instantiated and deployed in additional 10 third parties equipment experiment SMEs.
- A well-founded method and toolbox for Innovation management, where an existing TRL-based methodology for KETs technology transfer will be enriched by a CPPS certification, education and training programme for young talents and experienced blue collar workers and by a well-founded three-fold (objectives-variables-indicators) method for results assessment and evaluation.
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Demonstrators, pilots, prototypes
More information & hyperlinks
| Web resources: |
http://www.beincpps.eu/
https://cordis.europa.eu/project/id/680633 |
| Start date: | 11-01-2015 |
| End date: | 31-10-2018 |
| Total budget - Public funding: | 9 517 643,00 Euro - 7 999 486,00 Euro |
Cordis data
Original description
BEinCPPS Innovation Action aims to integrate and experiment a CPS-oriented Future Internet-based machine-factory-cloud service platform firstly intensively in five selected Smart Specialization Strategy Vanguard regions (Lombardia in Italy, Euskadi in Spain, Baden Wuertemberg in Germany, Norte in Portugal, Rhone Alpes in France), afterwards extensively in all European regions, by involving local competence centers and manufacturing SMEs. The final aim of this Innovation Action is to dramatically improve the adoption of CPPSs all over Europe by means of the creation, nurturing and flourishing of CPS-driven regional innovation ecosystems, made of competence centers, manufacturing enterprises and IT SMEs.The BE in CPPS project stems upon three distinct pillars:
• A FI-based three-layered (machine-factory-cloud) open source platforms federation, integrated from state-of-the-art R&I advances in the fields of Internet of Things, Future Internet and CPS / Smart Systems and able to bi-directionally interoperate data pertaining to the machine, the factory and the cloud levels.
• A pan-European SME-oriented experimentation ecosystem. In a first phase of the project, the five Champions will provide requirements to the platforms integrators. In a second phase, an Open Call for IT SMEs developers (applications experiments) will award 10 third parties. In a final third phase, the extended platform will be instantiated and deployed in additional 10 third parties equipment experiment SMEs.
• A well-founded method and toolbox for Innovation management, where an existing TRL-based methodology for KETs technology transfer will be enriched by a CPPS certification, education and training programme for young talents and experienced blue collar workers and by a well-founded three-fold (objectives-variables-indicators) method for results assessment and evaluation.
Status
CLOSEDCall topic
FoF-09-2015Update Date
27-10-2022
Geographical location(s)
Structured mapping
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FoF and Made in Europe Partnership
Factories of the Future Partnership - Made in Europe Partnership
Significant innovations and lessons learned, training aspects
Report - Video - Presentation - Publication....?
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Project type - instrument
Project clusters
Project clusters are groups of projects that cooperate by organising events, generating joint papers, etc...
Standards and standardisation
Comment: Main endorsed standards: OPC UA (factory automation), IEC-61499 (real-time automation), AMQP (messaging), NGSI (publish/subscribe)
Main endorsed standards: OPC UA (factory automation), IEC-61499 (real-time automation), AMQP (messaging), NGSI (publish/subscribe)
Main endorsed standards: OPC UA (factory automation), IEC-61499 (real-time automation), AMQP (messaging), NGSI (publish/subscribe)
Result items:
OPC-UA, NGSI, RAMI 4.0, EUROMAP
Engineering: SysML, BPMN
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Pathways
Manufacturing performance characteristics
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The main purpose of the system is to assess the average quality of the delivered product and to verify the correctness of the production process.
The smart mold helps to improve the follow up of the production (QA). The plant operator will able to react more quickly to production deviations, therefore reducing strongly the scrap rates.
Result items:
The Rule Editor and the Test Front-End are Android apps allowing factory users to interact with the ZHQ system
The smart mold provides Human Machine Interaction at several levels:
- Production operators: real-time data and alerts, both at the work cell level, enterprise and cloud
- Production managers and moldmakers: historical data analysis
Technologies and enablers
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Cloud level: I2Lab
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Cloud level: Test Back-end
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Field level: Controller/Actuator (HW), TestExecutor (SW)
Factory level: FIWARE IDAS Gateway for CPPS
The data acquisition is performed by the monitoring core, performed in C. The BBB + Mikrobus + Thermoclicks provide access to the data gathered by the sensors.
Sensors:
-Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated
-Pressure: KISTLER 6190C
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The Field/Factory levels feed normalized streams of raw data to the Cloud level for further processing.
Historical analysis of the production process data, through data analysis, will enable to establish trends of the mold usage.
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(offline): MSEE BIM Toolbox, UAModeler
Usage of the UA-Modeler tool to model the OPC-UA address space, containing the variables describing the acquired data.
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Cloud level: FIWARE Context Broker + Cygnus extension
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Cloud level: I2Lab
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Factory level: Rule Editor (Android app), Test Front-End (Android app)
Data visualization based on FIWARE Wirecloud widgets
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Cloud level: Cygnus extension
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The device platform supports a Linux distribution.
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The monitoring core has been developed in C.
The OPC-UA layer has been developed in Node.js
ICT performance characteristics
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Encryption of all Factory-Cloud data channels (HTTPS).
Google authentication for Android applications.
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OPC-UA for M2M communication, and NGSI for data publishing on the cloud
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OPC UA, NGSI
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OPC UA Address Space for Testing Stations
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All the information is stored in a single context in the Orion Context Broker.
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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
Result items:
Online results of Product testing are also used for the early detection of problems in the manufacturing plant.
The mold is mounted on top of an press machine, which performs the actual raw material conversion and performs the actual injection process. The smart mold communicates with the press to raise pre-configured alerts when the sensors detect abnormal situations, as well as to guide mechanical movements.
Result items:
Offline analysis of historical Product testing results can be used to identify inefficiencies of production processes across the Enterprise.
The smart mold publishes data to a production manager workstation, which in the context of a factory gathers all the data from all the work cells i.e. injection presses and provided an enterprise-level view of the deployed molds in production.
Result items:
The Smart Mold, as a true cyber-physical system, publishes data through a cloud infrastructure. In this cloud space, different applications are made available:
-Visualization dashboards through widgets, to allow real-time visualization of production data
-Data persistence: Store the physical data acquired by the sensors to enable historical analysis
-Integration with information systems (ERP/MES): To trigger mainteinance operations for the mold when these are required
Result items:
The system is applied to whole Product items as they leave the assembly line.
The plastic pieces as a result of the injection process.
Business model aspects
Result items:
All BEinCPPS components used in the Whirlpool demonstrator are open source software. Site-specific hardware components have been developed and are owned by Whirlpool. Solution-specific software components are proprietary software co-owned by the BEinCPPS partners involved in the demonstrator. All models and data is owned exclusively by Whirlpool.
Manufacturing system levels
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
Result items:
Online results of Product testing are also used for the early detection of problems in the manufacturing plant.
The mold is mounted on top of an press machine, which performs the actual raw material conversion and performs the actual injection process. The smart mold communicates with the press to raise pre-configured alerts when the sensors detect abnormal situations, as well as to guide mechanical movements.
Result items:
Offline analysis of historical Product testing results can be used to identify inefficiencies of production processes across the Enterprise.
The smart mold publishes data to a production manager workstation, which in the context of a factory gathers all the data from all the work cells i.e. injection presses and provided an enterprise-level view of the deployed molds in production.
Result items:
The Smart Mold, as a true cyber-physical system, publishes data through a cloud infrastructure. In this cloud space, different applications are made available:
-Visualization dashboards through widgets, to allow real-time visualization of production data
-Data persistence: Store the physical data acquired by the sensors to enable historical analysis
-Integration with information systems (ERP/MES): To trigger mainteinance operations for the mold when these are required
NACE code
Result items:
MiE SRIA R&I Priorities
Demonstrators, pilots, prototypes
EU-Programme-Call
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Contacts
Latest news
Organisations
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| Politecnico di Milano (Coördinator)
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| ASOCIACION DE EMPRESAS TECNOLOGICAS INNOVALIA
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| Associazione Fabbrica Intelligente Lombardia
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| CENTRO TECNOLOGICO DE CALCADO DE PORTUGAL
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| COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (CEA)
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| COMPANY FOR PROVISON OF SERVICES, RESEARCH AND DEVELOPMENT NISSATECH INNOVATION CENTRE DOO
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| Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
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| ETABLISSEMENTS GEORGES PERNOUD
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| Engineering Ingegneria Informatica S.p.A.
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| FINCONS GROUP AG
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| FORTISS GMBH
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| FORTUNATO O. FREDERICO & CA., LDA.
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| Fraunhofer IPA