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Energy-aware Factory Analytics for Process Industries

Descrizione del progetto

DEENESFRITPL

Un approccio gemellare all’analisi di fabbrica

I gemelli digitali sono una simulazione virtuale degli oggetti del mondo reale. Una delle principali attese dell’uso dei gemelli digitali è fornire la capacità di osservare e monitorare il comportamento dei loro rispettivi gemelli fisici. Il progetto FACTLOG, finanziato dall’UE, svilupperà un livello di elaborazione in tempo reale dove le osservazioni, la conoscenza e l’esperienza interagiscono per comprendere il comportamento di controllo di un sistema complesso (la cognizione). Consentirà di realizzare la fabbrica cognitiva quale set di sistemi indipendenti ma interconnessi per sistemi di trasferimento dei crediti europei (European Credit Transfer, ETC) in grado di autoapprendere, rilevare e reagire alle anomalie e alle interruzioni. Il consorzio, composto da 20 membri, apporterà la conoscenza e l’innovazione correlate, organizzando diversi canali di apprendimento automatico e strumenti analitici.

Obiettivo

It becomes apparent particularly in process industries that cognition can improve the behaviour of a complex process system. One of the main expectations of the use of digital twins is to give us the capability to observe and monitor the behaviour of their respective physical twins. In order to make it happen, we need to combine digital twins, which are driven by domain models (i.e. knowledge), with the models derived from data (i.e. experience). In order to realize it, we need a real-time processing layer where observations (i.e. events), knowledge and experience interoperate to understand and control the behaviour of a complex system (i.e. cognition). FACTLOG offers such a layer and aims at deploying and adjusting it to several process industries.
By incorporating different pipelines of machine learning and analytical tools at different levels (from machines to process steps and from processes to the whole production plant), FACTLOG enables the realization of the Cognitive Factory as an ensemble of independent but intertwined ECTs, that are (i) able to self-learn, and thus to effectively detect and react to anomalies and disruptions but also to opportunities that may arise, (ii) enjoy a local or global view of operations and (iii) are capable for short-, mid- and long-term reasoning and optimization.
FACTLOG is driven by several specific, yet indicative, business cases in the process industry and focuses its innovation regarding analytics, AI and optimization on the deployment and assessment of coherent Enhanced Cognitive Twins for the specific sectors represented in FACTLOG and even for the plants in which it will be pilot tested and evaluated.
It will be implemented by a just right consortium of twenty partners, five of which are manufacturers and a further three represent manufacturing clusters. Technology and scientific contributors from leading academic institute and focused ICT vendors (mostly SMEs) bring in all necessary knowledge and innovation.

Campo scientifico

Parole chiave

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-NMBP-ST-IND-2018-2020

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Bando secondario

H2020-NMBP-SPIRE-2019

Meccanismo di finanziamento

IA - Innovation action

Coordinatore

MAGGIOLI SPA
Contribution nette de l'UE
€ 977 812,50
Indirizzo
VIA DEL CARPINO 8
47822 Santarcangelo Di Romagna
Italia

Mostra sulla mappa
Regione
Nord-Est Emilia-Romagna Rimini
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 1 396 875,00

Partecipanti (20)

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Ultimo aggiornamento: 4 Marzo 2024

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Permalink: https://cordis.europa.eu/project/id/869951/it

European Union, 2024