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

Livrables

Second digital twin version delivery for the manufacturing test-beds

Second digital twin version delivery for the manufacturing test-beds.Gluing results from all pilots to increase interaction.

First digital twin version delivery for the manufacturing test-beds

First digital twin version delivery for the manufacturing test-beds.Gluing results from all pilots to increase interaction.

Release of the digital twins for test-bed N.9

Release of the digital twins for test-bed N.9.

Second Digital Twin version delivery for the facility management test-beds

Feedback on first version of digital twins to technical WPs.Gluing results from all pilots to increase interaction.

Release of the digital twins for test-bed N.12

Release of the digital twins for test-bed N.12.

Edge-based event generation software module
Final version of nominal models, fault library, and AI services for digital twins
Architecture, Core Data and Value-Added Services Bundles Specifications (III)

The final version of the system architecture, including technical and user requirements.

Release of the digital twins for test-bed N.11

Release of the digital twins for test-bed N.11.

Release of the digital twins for test-bed N.8

Release of the digital twins for test-bed N.8.

First version of the simulation and AI services for digital twins
Tools for explainability and visualization
Release of the digital twins for test-bed N.10

Release of the digital twins for test-bed N.10.

Communication tools (I)

Communication tools (I): Brandbook; leaflets, roll-ups, posters; Website

IoTwins Outreach Team

IoTwins Outreach Team (M2): Set up of the project outreach team.

Communication tools (II)

Communication tools (II): Brandbook; leaflets, roll-ups, posters; Website (leaflet update at M15)

Communication tools (III)

Communication tools III Brandbook leaflets rollups posters Website

Promotional Videos (III)

Promotional Videos III project video at M34

Promotional Videos (I)

Promotional Videos (I) (project video at M6)

Promotional Videos (II)

Promotional Videos II BSC short documentary at M30

Dissemination plan and report (III)

Dissemination plan and report III Dissemination plan updated every 12 months with activities completed and foreseen

Communication plan and report (III)

Communication plan and report III Communication plan updated every 12 months with activities completed and foreseen

First Digital Twin version delivery for the facility management test-beds

First Digital Twin version delivery for the facility management testbedsGluing results from all pilots to increase interaction

Communication plan and report (II)

Communication plan and report (II): Communication plan, updated every 12 months with activities completed and foreseen

Dissemination plan and report (II)

Dissemination plan and report (II): Dissemination plan, updated every 12 months with activities completed and foreseen

Requirements from large-scale industrial production and facility digital twins
Architecture, Core Data and Value-Added Services Bundles Specifications (II)

Incremental update of designs and specifications based on the feedback received by IoTwins testbed activities

Dissemination plan and report (IV)

Dissemination plan and report IV last version of the Dissemination plan updated every 12 months with activities completed and foreseen

Enhanced data collection and integration for the manufacturing test-beds

Deliverables: gluing results from all pilots to increase interaction. Enhanced data collection and integration for the manufacturing test-beds

Communication plan and report (I)

Communication plan and report (I) (M6): first version of the Communication plan, updated every 12 months with activities completed and foreseen.

Requirements, specification, and KPI for replicability

Requirements specification and KPI for replicability

Dissemination plan and report (I)

Dissemination plan and report (I) (M6): first version of the Dissemination plan, updated every 12 months with activities completed and foreseen

Implementation of the IoTwins platform (II)

Revised version of the platform to be evaluated within WP4 and WP5

Implementation of the IoTwins platform (III)

Revised version of the platform after testbed finalization

Implementation of the IoTwins platform (I)

Initial version of the platform (incl. APIs specifications, orchestration, data management, stream processing, and testing) to be evaluated within WP4 and WP5.

Communication plan and report (IV)

Communication plan and report IV last version of the Communication plan updated every 12 months with activities completed and foreseen

Publications

Feature Saliencies in Asymmetric Hidden Markov Models

Auteurs: Carlos Puerto-Santana, Pedro Larrañaga, Concha Bielza
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, Numéro 2162237X, 2022, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2022.3194597

Asymmetric HMMs for online ball-bearing health assessments

Auteurs: Carlos Puerto-Santana; Concha Bielza; Javier Diaz-Rozo; Guillem Ramirez-Gargallo; Filippo Mantovani; Gaizka Virumbrales; Jesus Labarta; Pedro Larranaga
Publié dans: IEEE Internet of Things Journal, Numéro 23274662, 2022, Page(s) 20160 - 20177, ISSN 2327-4662
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2022.3173064

Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications

Auteurs: Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 31/11, 2020, Page(s) 2696-2709, ISSN 1045-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2020.3000418

Anomaly Detection and Anticipation in High Performance Computing Systems

Auteurs: Andrea Borghesi; Martin Molan; Michela Milano; Andrea Bartolini
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 15582183, 2021, ISSN 1558-2183
Éditeur: IEEE
DOI: 10.1109/tpds.2021.3082802

Application-Driven Network-Aware Digital Twin Management in Industrial Edge Environments

Auteurs: Paolo Bellavista; Carlo Giannelli; Marco Mamei; Matteo Mendula; Marco Picone
Publié dans: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Numéro 19410050, 2021, Page(s) 7791-7801, ISSN 1941-0050
Éditeur: IEEE
DOI: 10.1109/tii.2021.3067447

A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics

Auteurs: Montagna F, Mach S, Benatti S, Garofalo A, Ottavi G, Benini L, Rossi D, Tagliavini G.
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 15582183, 2021, Page(s) 1038-1053, ISSN 1558-2183
Éditeur: IEEE
DOI: 10.1109/tpds.2021.3101764

ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems

Auteurs: Andrea Borghesi; Alessio Burrello; Andrea Bartolini
Publié dans: IEEE Journal of IoT, Numéro 23274662, 2021, ISSN 2327-4662
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3125885

Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data

Auteurs: Eduardo Graells-Garrido, Irene Meta, Feliu Serra-Buriel, Patricio Reyes, Fernando M. Cucchietti
Publié dans: Companion Proceedings of the Web Conference 2020, 2020, Page(s) 485-494, ISBN 9781450370240
Éditeur: ACM
DOI: 10.1145/3366424.3384370

Predictive Maintenance Based on Machine Learning Model

Auteurs: Hichri, Bassem and Driate, Anass and Borghesi, Andrea and Giovannini, Francesco
Publié dans: IFIP International Conference on Artificial Intelligence Applications and Innovations, 2022, Page(s) 250-261, ISBN 978-3-031-08337-2
Éditeur: Springer
DOI: 10.1007/978-3-031-08337-2_21

Context Aware Monitoring for Smart Grids

Auteurs: Daniel Hauer, Maximilian Götzinger, Axel Jantsch, Florian Kintzler
Publié dans: 30th IEEE International Symposium on Industrial Electronics (ISIE), 2021
Éditeur: IEEE
DOI: 10.1109/isie45552.2021.9576488

Re-enacting rare multi-modal real world grid events to generate ML training data sets

Auteurs: Daniel Hauer, Matthias Bittner, Stephan Cejka, Ralf Mosshammer, Florian Kintzler, Thomas Leopold, Stefan Wilker
Publié dans: 30th IEEE International Symposium on Industrial Electronics (ISIE), 2021
Éditeur: IEEE
DOI: 10.1109/isie45552.2021.9576350

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

Auteurs: Andrea Borghesi; Giuseppe Di Modica; Paolo Bellavista; Varun Gowtham; Alexander Willner; Daniel Nehls; Florian Kintzler; Stephan Cejka; Simone Rossi Tisbeni; Alessandro Costantini; Matteo Galletti; Marica Antonacci; Jean Christian Ahouangonou
Publié dans: Proceedings - 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, 2021, Page(s) 625 - 633, ISBN 978-1-7281-9586-5
Éditeur: IEEE
DOI: 10.1109/ccgrid51090.2021.00075

Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs

Auteurs: Montagna, F., Tagliavini, G., Rossi, D., Garofalo, A., Benini, L
Publié dans: International Conference on Architecture of Computing Systems, 2021, Page(s) 167-182, ISBN 978-3-030-81682-7
Éditeur: Springer
DOI: 10.1007/978-3-030-81682-7_11

Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks

Auteurs: Alessio Burrello; Daniele Jahier Pagliari; Andrea Bartolini; Luca Benini; Enrico Macii; Massimo Poncino
Publié dans: Euro-Par 2020: Parallel Processing Workshops, 2021, ISBN 978-3-030-71592-2
Éditeur: Springer
DOI: 10.1007/978-3-030-71593-9_22

An Explainable Model for Fault Detection in HPC Systems.

Auteurs: Marrin Molan; Andrea Borghesi; Francesco Beneventi; Massimiliano Guarrasi; Andrea Bartolini
Publié dans: Lecture Notes in Computer Science ISBN: 9783030905385, 2021, Page(s) 378-391, ISBN 9783030905385
Éditeur: Springer
DOI: 10.1007/978-3-030-90539-2_25

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