Projects overview
ICP4Life | An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle
01-01-2015
-01-01-2019
SatisFactory | A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments
01-01-2015
-31-12-2017
BEinCPPS | Business Experiments in Cyber Physical Production Systems
11-01-2015
-31-10-2018
SYMBIO-TIC | Symbiotic Human-Robot Collaborative Assembly: Technologies, Innovations and Competitiveness
01-04-2015
-01-04-2019
ReCaM | Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning
11-01-2015
-31-10-2018
TWIN-CONTROL | Twin-model based virtual manufacturing for machine tool-process simulation and control
10-01-2015
-30-09-2018
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
1) Security Information & Event Management API, 2) BPMN standard as part of the Integrated Digital Factory Model, 3) RabbitMQ implementation, 4) OGC sensor things compliant API through Integrated Digital Factory Metadata Model, 5) Part of the Integrated Digital Factory Model
A4BLUE | Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context
01-10-2016
-30-09-2019
Integration with automation mecahinsms through pulg and produce capabilities based on OPC UA.
Daedalus | Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS
01-10-2016
-30-09-2019
AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing
01-10-2016
-30-09-2019
FAR-EDGE | Factory Automation Edge Computing Operating System Reference Implementation
01-10-2016
-30-10-2019
DIGICOR | Decentralised Agile Coordination Across Supply Chains
01-10-2016
-30-09-2019
INCLUSIVE | Smart and adaptive interfaces for INCLUSIVE work environment
01-10-2016
-30-09-2019
Z-Fact0r | Zero-defect manufacturing strategies towards on-line production management for European factories
01-10-2016
-31-03-2020
Data communication between components is essential for the project. End users create data on their shop floor with embedded sensors on the machines, new integrated sensors developed for the project. All these data is propagated in the system with data communication protocols, such as HTTP and AMQP, creating a data stream process in the system. Interoperability between the data communication protocolos and brockers is crucial for a successful result of the data communication of the system. Various data sources work together and use different communication protocols. As a result, all these components and protocols should seamlessly work and their interoperability is what helps them. A message brocker was developed for the project, based on AMQP for data communication. In the initial phases of the project, there were also RESTful APIs that helped in the initial development of the components.
The Incremental Integration Strategy (IIS) provides a unified framework for all the EU distributed partners, to work on common principles. By following the IIS, we try to ensure that the integration will be successfully executed in a timely manner. It defines a number of factors to monitor and steps to execute.
The IIS manifests that the components are integrated and tested incrementally and tested to ensure smooth interaction among them. Every component is combined incrementally, i.e., one by one till all components are integrated logically to make the required application, instead of integrating the whole system at once and then performing testing on the end product. Integrated components are tested as a group to ensure successful integration and data flow between components. The process is repeated until all components are combined and tested successfully. The tests included in the IIS are:
- Load test
- Stress test
- Spike test
- Endurance test
- Scalability test
- Volume test
The IIS and the Integration plan of the Z-Fact0r solution were based on the same APIs and protocols as the data exchange in the system. There were no new APIs designed for the integration process and the integration protocol implemented was derived by the IIS and the Integration plan of the Z-Fact0r system.
During the integration phase the same communication protocols were used: HTTP and AMQP for the data exchange. Also there is Wi - Fi connection for integration the various components and their updates on premises or on cloud during the integration process of the system. Finally, FTP was used during the integration phase for quick transfer of files on the shop floor premises.
The data exchange format throughout the project's components was JSON. JSON lightweight, easy for humans to read and write it and provides all relevant information in a formatted way. It is also easy to change to include further fields when necessary or to be restructured for other components. XML was also used as data exchange format. XML also has the same characteristics with JSON in regards to easiness and accessibility. An example of one of the JSON formats used the project is given below to describe the prediction outputs:
Semantic interoperability is desired in the project. An ontology was created to describe all the entities participating in the project components, system, communication protocols as well as the entities given by the end users. The Context Aware algorithm was based on this ontology to create the operation rules for the system. The algorithm provided the essential information to other components about the implementation of the solution. For example, the Context Aware algorithm provided the Reverse Supply Chain with all the necessary information about the production line, the production stages, the return levels and then the RSC was able to create a set of rules to implemented by the end user.
vf-OS | Virtual Factory Open Operating System
01-10-2016
-30-09-2019
THOMAS | Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems
01-10-2016
-30-09-2020
NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-30-09-2019
SAFIRE | Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services
01-10-2016
-30-09-2019
I-MECH | Intelligent Motion Control Platform for Smart Mechatronic Systems
01-06-2017
-31-05-2019
PreCoM | Predictive Cognitive Maintenance Decision Support System
01-11-2017
-31-10-2020
SCOTT | Secure COnnected Trustable Things
01-05-2017
-31-10-2020
QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
Details: Feldbus/Device level (EtheCAT, PROFINET): Generic concept of fieldbuse
Details: AMQP
Details: Production system engineering; process quality and optimisation designer; distributed industrial-process measurement and control systems
Details: MQTT: an extremel lightweight publish/subscribe messaging transport protocol
Details: JSON
Details: Production system engineering; process quality and optimisation designer; distributed industrial-process measurement and control systems
ZDMP | Zero Defect Manufacturing Platform
01-01-2019
-30-06-2023
Details: Messaging, message Exchange
Details: IoT/Device Integration
Details: Messaging, message Exchange
Details: Messaging, message Exchange
Details: IoT/Device Integration
SeCoIIA | Secure Collaborative Intelligent Industrial Assets
01-12-2019
-31-05-2022
UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM
01-09-2017
-31-08-2020
Open Platform Communication Unified Architecture (OPC-UA) is considered for UPTIME platform and for modular edge data collection and diagnosis of UPTIME_SENSE component.
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
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.
Ontology-based data integration is part of the Z-BRE4K solution. Ontology effectively combines data and/or information from multiple heterogeneous sources. The ontology semantics used by SPL program is described through OWL. OWL follows the RDF syntax, so SPARQL is suitable for seamlessly querying the ontology defined by OWL. SPARQL will be used as the transformation language for converting Semantic data to corresponding syntax data. IDS connectors are used in Z-BRE4K to guarantee the interoperability among the various components that are not part of the Industrial Data Space. Part of connectors functionality is to transform data to/from NGSI format data in order to be shared by the ORION context broker.
Z-BRE4K ontology contains information about all Z-BRE4K relevant data (metadata), linked in a way described by a controlled, shared vocabulary. The data relationships are part of the data itself, in one self-describing information package that is independent of any information system. In simple terms, this means that data from various sources can be easily harmonised. The shared vocabulary, and its associated links to an ontology, provide the foundation and the capabilities of machine interpretation, inference, and logic.
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
EFPF (European Factory Platform) | European Connected Factory Platform for Agile Manufacturing
01-01-2019
-31-12-2022
ATS Bus - Enabled a single, common service bus for data exchange between the PLCs and other high level components of the system, including a SCADA system. Used a broker-based publish-subscribe approach to decouple the physical sources and destinations of the data to facilitate reconfigurability.
Nservicebus - The underlying technology which enabled the ATS Bus to exchange data.
OPC UA (Kepware) – Many devices could not interface directly with the service bus, so OPC UA was used to extract data and publish it to the service bus.
OPC UA (Kepware) – Many devices could not interface directly with the service bus, so OPC UA was used to extract data and publish it to the service bus.
OPC_UA has been intensively applied in the Data_driven Digital Twin of existing production line