The IoTwins project

IoTwins is a European project that aims to build a reference architecture for the development of efficient and distributed digital twins for specific manufacturing and facility management domains.
12 dedicated large-scale testbeds will collect large amounts of data to generate and refine the associated digital twins, including optimized models of resources, systems, and processes involved. IoTwins digital twins will be used to improve the efficiency of production processes and of facility management, as well as to demonstrate the replicability of the achieved results in similar scenarios and to determine new application areas and business models.

All the IoTwins testbeds share the same methodology: models that exploit big data and domain expert knowledge to accurately represent a complex system, such as an industrial plant, or a process, or a facility, with the ambition of predicting its temporal evolution and dynamics. The underlying technologies ground on the concept of distributed IoT-/edge-/cloud-enabled hybrid twins.
Key technological elements of the IoTwins approach are:

• a full-fledged platform enabling easy and rapid access to heterogeneous cloud HPC-based resources for advanced big data services
• intelligent services to simplify and accelerate the integration of advanced Machine Learning algorithms, physical simulation, on-line and off-line optimization into distributed digital twins
• advanced edge-oriented mechanisms, tools, and orchestration to support Quality of Service in the runtime execution of the distributed digital twins

Digital twins and test-beds

IoTwins will deliver 12 large-scale industrial test-beds to experiment the effectiveness of the reference architecture in the field of manufacturing, facility management and replicability

Manufacturing Testbeds:

1. Wind turbine predictive maintenance ||| Bonfiglioli Riduttori, KK Wind Solutions
2. Machine tool spindle predictive behaviour ||| FILL
3. Predictive maintenance for a crankshaft manufacturing systems ||| ETXE-TAR
4. Predictive maintenance and production optimization for closure manufacturing ||| GCL International

Facility management Testbeds

5. NOUCAMPNOU – Sport facility management and maintenance ||| Futbol Club Barcelona
6. EXAMON - Holistic supercomputer facility management ||| CINECA
7. Smart Grid facility management for power quality monitoring ||| SIEMENS

Replicability Testbeds

8. Patterns for smart manufacturing for SMEs ||| Centre Technique des Industries Mécaniques
9. EXAMON replication to other datacentres facilities ||| Istituto Nazionale di Fisica Nucleare, Barcelona Supercomputing Center
10. Standardization/homogenization of manufacturing performance ||| GCL INTERNATIONAL
11. NOUCAMPNOU Replicability towards smaller scale sport facilities ||| Futbol Club Barcelona
12. Innovative business models for IoTwins PaaS in manufacturing ||| Marposs

Partners

1. BONFIGLIOLI RIDUTTORI (COORDINATOR)
2. BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
3. ESI GROUP
4. FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
5. TECHNISCHE UNIVERSITAET BERLIN
6. FUTBOL CLUB BARCELONA ASOCIACION
7. MARPOSS SpA
8. ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
9. ISTITUTO NAZIONALE DI FISICA NUCLEARE
10. CINECA CONSORZIO INTERUNIVERSITARIO
11. ART-ER ATTRACTIVENESS RESEARCH TERRITORY
12. ETXE-TAR, S.A.
13. KK-ELECTRONIC a/s
14. BEWARRANT
15. ECOLE NATIONALE SUPERIEURE D'ARTS ET METIERS
16. GCL INTERNATIONAL SARL
17. SIEMENS AKTIENGESELLSCHAFT OESTERREICH
18. SIEMENS AKTIENGESELLSCHAFT
19. TTTECH COMPUTERTECHNIK AG
20. THALES SIX GTS FRANCE SAS
21. CENTRE TECHNIQUE DES INDUSTRIES MECANIQUES
22. FILL GESELLSCHAFT MBH
23. TTTECH INDUSTRIAL AUTOMATION AG

info@iotwins.eu
www.iotwins.eu
@IoTwins_EU