Periodic Reporting for period 1 - Zero-SWARM (ZERO-ENABLING SMART NETWORKED CONTROL FRAMEWORK FOR AGILE CYBER PHYSICAL PRODUCTION SYSTEMS OF SYSTEMS)
Période du rapport: 2022-06-01 au 2023-11-30
Zero-SWARM has a mission to achieve climate neutral and digitized production via a multidisciplinary, human centric, objective oriented innovative approach resulting in technical solutions for open swarm framework, non-public 5G network, active information continuum and digital twin. In essence, it establishes a unique forum where separately maturing technologies of 5G and cloud-edge continuum, data technologies and analysis (including data spaces and GAIA-X) and operational technology (automation and agility) break their siloes to co-design and co-create through 10 trials. It will showcase key achievements such as smart assembly, sustainable powertrains, improved resilience with remote operation, 5G powered PLC’s for real time distributed control systems, safe and autonomous transport of goods in factory, 5G enabled process aware AGVs, plug & connect 5G for industry, mobile intelligent agents for zero plastic waste, smart maintenance and optimization, remote quality control for zero defect resilient manufacturing.
The project includes 3 nodes (north, center and south) with industrial test facilities from previous public/private investments co/creating with reputable industry players. Aligned with the technical activities, Zero-SWARM includes a tailored engagement program towards a wide audience, including collaboration with Digital Innovation Hubs and key initiatives in Europe. It allows them to be the pioneer of the Zero-SWARM technologies, establishing an impact pathway even after the project end. Zero-SWARM puts strong emphasis on developing various learning materials to promote skill development of talented workforces with minimum efforts in prominent twin transformation, which will strongly contribute to build up European leadership in sustainable data driven manufacturing.
The project includes 3 nodes (north, center and south) with industrial test facilities from previous public/private investments co/creating with reputable industry players. Aligned with the technical activities, Zero-SWARM includes a tailored engagement program towards a wide audience, including collaboration with Digital Innovation Hubs and key initiatives in Europe. It allows them to be the pioneer of the Zero-SWARM technologies, establishing an impact pathway even after the project end. Zero-SWARM puts strong emphasis on developing various learning materials to promote skill development of talented workforces with minimum efforts in prominent twin transformation, which will strongly contribute to build up European leadership in sustainable data driven manufacturing.
So far Zero-SWARM has presentated a reference Architecture aligned with I4.0 RAMI, IIoT and reference standards, e.g. 3GPP, GAIA-X, IEC, etc.. On top of it a a vertically and horizontally secure and trusted cybersecurity architecture was introduced based on standards such as IEC 62443-1-1 and ISO/IEC TR 19249.
Moreover, the project has been tackling the problem of creating a run-time information continuum enabling awareness in the industrial domain. This involves the use of multiple technologies such as:
• An edge-cloud data infrastructure that allows trustable data exchange between application scenarios in the industrial domain combining;
• An Asset Administration Shell and digital twins of the manufacturing equipment,
• Distributed stream computing from OT to IT,
• Predictive models of intelligent agents, and integration of federated learning services.
In the scope of 5G telecommunications, the project has analyzed the enhancements of 5G Non-Public Network communications and has found the methodology for simple and fast provisioning, operation and diagnosis of 5G private networks. Furthermore, the project has defined 5G-edge devices, integrating local sensor networks into existing infrastructure with added computing power for application-specific data preprocessing and is in the process of extending and refining 5G-ACIA specifications.
The project has been developing standards-based toolkits for the life-cycle management of real-time CPSoS. Our focus has been on:
• Extension of the IEC-61499 runtime with discovery and self-declaration functionalities for reconfiguration
• Integration between IEC-61499 and Edge Computing framework within WP5 and WP4,
• Development of an AI-dedicated version of the toolchain for field practitioners,
• Development of cyber-security methodologies and solutions for the OT-IT connection.
The technologies developed in the project will trialed in 10 real life industry scenarios defined, split on nodes across North, Centre and South Europe.
Last but not least, the project has developed the official website, the social media channels, a community and a business model on how to exploit the project’s KERs. Moreover, the projecthas prepared an Expression of Interest, which will go public in the next weeks in order to allow external stakeholders to initially test the Zero-SWARM technologies.
The work performed by the Zero-SWARM consortium is reflected to twenty seven deliverables produced by the project.
Moreover, the project has been tackling the problem of creating a run-time information continuum enabling awareness in the industrial domain. This involves the use of multiple technologies such as:
• An edge-cloud data infrastructure that allows trustable data exchange between application scenarios in the industrial domain combining;
• An Asset Administration Shell and digital twins of the manufacturing equipment,
• Distributed stream computing from OT to IT,
• Predictive models of intelligent agents, and integration of federated learning services.
In the scope of 5G telecommunications, the project has analyzed the enhancements of 5G Non-Public Network communications and has found the methodology for simple and fast provisioning, operation and diagnosis of 5G private networks. Furthermore, the project has defined 5G-edge devices, integrating local sensor networks into existing infrastructure with added computing power for application-specific data preprocessing and is in the process of extending and refining 5G-ACIA specifications.
The project has been developing standards-based toolkits for the life-cycle management of real-time CPSoS. Our focus has been on:
• Extension of the IEC-61499 runtime with discovery and self-declaration functionalities for reconfiguration
• Integration between IEC-61499 and Edge Computing framework within WP5 and WP4,
• Development of an AI-dedicated version of the toolchain for field practitioners,
• Development of cyber-security methodologies and solutions for the OT-IT connection.
The technologies developed in the project will trialed in 10 real life industry scenarios defined, split on nodes across North, Centre and South Europe.
Last but not least, the project has developed the official website, the social media channels, a community and a business model on how to exploit the project’s KERs. Moreover, the projecthas prepared an Expression of Interest, which will go public in the next weeks in order to allow external stakeholders to initially test the Zero-SWARM technologies.
The work performed by the Zero-SWARM consortium is reflected to twenty seven deliverables produced by the project.
The Zero-SWARM ambition is to provide a methodological and technological framework to address quick uptake of advanced 5G technologies by the European manufacturing sector, for the engineering of the following major aspects of a data-driven, connected, CPSoS-based, trusted production. The technologies developed in the project will make use of the existing open source systems and software tools, leveraging on interoperability and flexibility principles recognised in the technological areas (5G and data) and I4.0 communities, which will allow outcomes to be made available to open source communities and Digital Innovation Hubs, in particular for networked based software tools for data sharing, monitoring & collection, and analytics.
While the project is now entering its’ final stage, where the technologies developed within it will be demonstrated and results beyond SotA are expected.The following list summarizes some initial beyond SotA results:
• A reference Architecture aligning of I4.0 RAMI, IIoT and reference standards, was proposed.
• A reference cybersecurity architecture, aligned with the project architecture was proposed. It is based on standards such as IEC 62443 and ISO/IEC TS 19249.
• A novel Public Network Integrated Non-Public Networks (PNI-NPN) deployment option along with a new scheduling scheme were proposed to facilitate the needs of adapting 5G in the I4.0 context.
• The Zero-SWARM Distributed stream computing within the Edge-Cloud continnum Architecture was designed which will allow seamless exchange and exposure of information for AI based applications enabling real time decision making.
• IEC 61499 platform was extended to allow Dynamic Device and Environment Recognition, Real-time Reconfiguration and Dynamic Resource allocation
• A plugin for IEC 61499 IDE was designed to allow embedding AI functions and offers best practices for developing Function Blocks within the IEC 61499 development environment.
While the project is now entering its’ final stage, where the technologies developed within it will be demonstrated and results beyond SotA are expected.The following list summarizes some initial beyond SotA results:
• A reference Architecture aligning of I4.0 RAMI, IIoT and reference standards, was proposed.
• A reference cybersecurity architecture, aligned with the project architecture was proposed. It is based on standards such as IEC 62443 and ISO/IEC TS 19249.
• A novel Public Network Integrated Non-Public Networks (PNI-NPN) deployment option along with a new scheduling scheme were proposed to facilitate the needs of adapting 5G in the I4.0 context.
• The Zero-SWARM Distributed stream computing within the Edge-Cloud continnum Architecture was designed which will allow seamless exchange and exposure of information for AI based applications enabling real time decision making.
• IEC 61499 platform was extended to allow Dynamic Device and Environment Recognition, Real-time Reconfiguration and Dynamic Resource allocation
• A plugin for IEC 61499 IDE was designed to allow embedding AI functions and offers best practices for developing Function Blocks within the IEC 61499 development environment.