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Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

Descrizione del progetto

Modi intelligenti per eliminare i difetti nell’industria

L’industria manifatturiera odierna ha costantemente bisogno di trovare nuovi modi per potenziare i processi in modo da poter migliorare la qualità e ridurre al minimo difetti e costi. Il progetto DAT4.ZERO finanziato dall’UE, svilupperà un sistema di gestione della qualità migliorato digitalmente (DQM, digitally-enhanced quality management) per prevenire i guasti. Grazie all’utilizzo di feedback intelligenti e dinamici e di meccanismi feed-forward, il progetto contribuirà alla produzione a zero difetti nelle fabbriche intelligenti. Il sistema DQM combina sensori e attuatori intelligenti con grandi set di dati esistenti per monitorare i parametri di processo, come la temperatura e la vibrazione, durante le operazioni di lavorazione per garantire risultati di qualità corretti. Verranno inoltre utilizzate nuove apparecchiature di misurazione per raccogliere dati che alimenteranno il supporto decisionale intelligente al fine di ottimizzare la produzione nelle fabbriche intelligenti e nei loro ecosistemi, caratterizzati da operazioni logistiche intelligenti.

Obiettivo

Smart factories are characterised by smart processes, smart machines, smart tools and smart products as well as smart logistics operations. These generate large amounts of data, which can be used for analysis and fault prevention, as well as the optimisation of the quality of manufacturing processes and products.
DAT4.ZERO is a Digitally-enhanced Quality Management System (DQM) that gathers and organizes data from a Distributed Multi-sensor Network, which, when combined with a DQM Toolkit and Modeling and Simulation Layer, and further integrated with existing Cyber-Physical Systems (CPS), offers adequate levels of data accuracy and precision for effective decision-support and problem-solving – utilizing smart, dynamic feedback and feed-forward mechanisms to contribute towards the achievement of Zero Defect Manufacturing (ZDM) in smart factories and their ecosystems.
The aim is to Integrate smart, cost-effective sensors and actuators for process simulation, monitoring and control; develop real-time data validation and integrity strategies within actual production lines; demonstrate innovative data management strategies as an integrated approach to ZDM; & develop strategies for rapid line qualification and reconfiguration. Deployed in 5 distinct industrial pilot lines we address the following primary objective: Develop and demonstrate an innovative DQM system and deployment strategy for supporting European manufacturing industry in realizing ZDM in highly dynamic, high-value, high-mix, low-volume production contexts, by effective selection and integration of sensors and actuators for process monitoring and control, a DQM platform with an architecture that provides reliable and secure knowledge extraction to ensure integrity of data, & strategies for advanced realtime data analysis and modeling in multiple domains and sectors that will increase quality, reduce ramp-up times and decrease time-to-market.

Invito a presentare proposte

H2020-NMBP-TR-IND-2018-2020

Vedi altri progetti per questo bando

Bando secondario

H2020-NMBP-TR-IND-2020-singlestage

Meccanismo di finanziamento

IA - Innovation action

Coordinatore

SINTEF MANUFACTURING AS
Contribution nette de l'UE
€ 1 698 750,00
Indirizzo
BYGNING 100, RAUFOSS INDUSTRIPARK
2830 Raufoss
Norvegia

Mostra sulla mappa

Regione
Norge Innlandet Innlandet
Tipo di attività
Research Organisations
Collegamenti
Costo totale
€ 1 698 750,00

Partecipanti (21)