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

Projektinformationen

1-SWARM

ID Finanzhilfevereinbarung: 871743

DOI

10.3030/871743

Projekt abgeschlossen

EK-Unterschriftsdatum 5 Dezember 2019

Startdatum 1 Januar 2020

Enddatum 30 Juni 2023

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten

€ 4 997 522,50

EU-Beitrag

€ 4 997 522,50

Koordiniert durch

SPINDOX LABS SRL
Italy

Periodic Reporting for period 2 - 1-SWARM (Integrated development and operations management framework for cyber-physical systems of systems under the paradigm of swarm intelligence)

Berichtszeitraum: 2021-07-01 bis 2023-06-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

Recent years have seen the widespread diffusion of low-cost computational systems, triggering the transition towards even further decentralization towards the Edge of autonomic intelligence. In the consumer domain, where requirements for reliability are much lower and life-cycles shorter, this transformation is happening very fast. On the contrary, industrial applications are inevitably more conservative and require solid methodological and technological grounds to guarantee this transition to be dependable. Moreover, the physicality of these “Systems of Cyber Physical Systems” is evidently much more critical for industry, leading to even further constraints on security and safety across all major stages of their full life-cycle.

1-SWARM project focuses on the design-operations for CPSoS with the specific focus on cross-domain use-cases in the industrial sector of large-scale distribution and logistics. The project aims at achieving industrially acceptable level of robustness of heterogeneous networks of CPS whose operation emerges as “Swarm Intelligence”. The solution aimed by 1-SWARM will span across different steps of the value chain, connecting intelligence through the digital domain to maximize their effectiveness and reliability. The objective is to provide a methodological and technological framework, modular and re-usable (“Swarm Intelligence DevOps Framework”), for the engineering of the three major aspects of CPSoS: i) The HW/SW runtime platform that sustains their operations; ii) The distributed and orchestrated Intelligence that guarantees their autonomic behavior; iii) The extension of their “existence” into the cyber-domain for a full life-cycle approach.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

1-SWARM consortium achieved several intermediate results for the definition of the 1-SWARM framework and in line with the eight objectives listed in the proposal. Briefly, the main achievements are grouped as following:

1) How to ease both the ease the engineering, deployment and maintenance of IEC61499-based CPSoS
2) How to verify and validate the design and development of IEC61499-based CPS
3) How to ease human-CPSoS interaction in real-life environment
4) How to reduce cyber-security concerns of IEC61499-based CPS
5) How to extract information from the data stream produced by IEC61499-based CPS
6) How to integrate IEC61499-based CPS with their digital counterpart (digital twins) to enable a life-cycle management
7) How to collect both numerical and mathematical evidences of the soundness and correctness of 1-SWARM framework.

For a complete overview, we invite the reader to review the Technical Report.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

1-SWARM tackles the issues of CPSoS considering the specificities on an industrial sector (large-scale distribution and logistics networks) where the entanglement of CPS functionalities happens at several levels, potentially across different steps of the corresponding value chain. This means that the behaviour of a “swarm” of intelligent CPS acting, for instance, in a distribution hub may impact on the activities of a linked network of other CPS implementing the distribution of goods to retailers. The total robustness of the overarching system must arise both as emerging property due to the autonomic skills of single groups of CPS but also thanks to higher layers of orchestrating intelligence, including humans within the decision making work-flows. The approach proposed by 1-SWARM is therefore based on a modular and scalable framework, standardizing the way intelligent agents are represented and orchestrated, from design to runtime stage, in several interconnected teams with multiple dynamically-varying objectives.

1-SWARM will develop a methodological and technological framework (= “Swarm Intelligence DevOps Framework”, modular and re-usable in its approach, to ease the design, deployment and maintenance of CPSoS spanning across different steps of the value chain. This framework will cover the three major engineering challenges of: i) Providing a HW/SW operations and runtime platform for CPSoS; ii) Facilitating the deployment of “Swarm Intelligence” into the systems; iii) Anchoring their life-cycle management onto a digital-twin infrastructure.

In 1-SWARM a systemic approach has been chosen to improve the quality and cost of development and operations for large CPSoS (the “Swarm Intelligence DevOps Framework”), tackling the corresponding engineering challenges from a multi-dimensional point of view. To quantify the impact that the project’s technologies and methodologies can have, the different life-cycle stages of a CPSoS have been considered, identifying the most relevant ones: i) Conception and design; ii) Deployment, operation and (re-)configuration. Since each of them is characterized by its own peculiarities, different evaluation metrics have been identified to demonstrate the effectiveness of 1-SWARM’s solution.

Reference technical framework of the project