Distributed Digital Twins for industrial SMEs: a big-data platform


The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and edge-enabled digital twins of production plants and processes. Digital Twins collect data from manufacturing, maintenance, operations, facilities and operating environments, and use them to create a model of each specific asset, system, or process. These models are then used to detect and diagnose anomalies, to determine an optimal set of actions that maximize key performance metrics. IOTWINS proposes a hierarchical organization of digital twins modeling manufacturing production plants and facility management deployment environments at increasing accuracy levels: • IoT twins: featuring lightweight models of specific components performing big-data stream processing and local control for quality management operations (low latency and high reliability); • Edge twins: deployed at plant gateways and/or at emerging Multi-access Edge Computing nodes, providing higher level control knobs and orchestrating IoT sensors and actuators in a production locality, thus fostering local optimizations and interoperability; • Cloud twins: performing time-consuming and typically off-line parallel simulation and deep-learning, feeding the edge twin with pre-elaborated predictive models to be efficiently executed in the premises of the production plant for monitoring/ control/tuning purposes.

Project details

Unibo Team Leader: Michela Milano

Unibo involved Department/s:
Dipartimento di Informatica - Scienza e Ingegneria
Dipartimento di Fisica e Astronomia "Augusto Righi"
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Bonfiglioli S.P.A.(Italy)

Other Participants:
A.S.T.E.R. S.Cons.P.A. (Italy)
Esi Group (France)
Siemens Ag (Germany)
I.N.F.N. - Ist.Naz.Fisica Nucleare (Italy)
Fraunhofer Ipa (Germany)
Marposs S.P.A. (Italy)
Thales Six Gts France Sas (France)
Technische Universität Berlin (Germany)
Etxe-Tar, S.A. (Spain)
Siemens Aktiengesellschaft Oesterreich (Austria)
Bewarrant (Belgium)
Cineca - Consorzio Interuniversitario (Italy)
Wavestone Luxembourg Sa (Luxembourg)
Barcelona Supercomputing Center - Centro Nacional De Supercomputacion (Spain)
Centre Technique Des Industries Mecaniques (France)
Futbol Club Barcelona Asociacion (Spain)
ALMA MATER STUDIORUM - Università di Bologna (Italy)
Gcl International Sarl (Luxembourg)
kk-electronic a/s (Denmark)
École Nationale Supérieure d'Arts et Métiers (France)
Fill Gesellschaft Mbh (Austria)
Tttech Computertechnik Ag (Austria)

Total Eu Contribution: Euro (EUR) 16.422.552,01
Project Duration in months: 36
Start Date: 01/09/2019
End Date: 31/08/2022

Cordis webpage
Project website

Industry, innovation and infrastructure This project contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

UE flag This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857191