Descrizione del progetto
L’intelligenza artificiale per un migliore controllo della produzione
La digitalizzazione, l’elettronica e i sensori intelligenti hanno apportato enormi vantaggi ai processi produttivi, controllando e supervisionando le fasi dell’intera produzione. Tuttavia, le opzioni attuali, come i modelli di apprendimento automatico, la progettazione di reti neurali o l’elaborazione manuale dei dati, non sono in grado di gestire la quantità di dati e non possono offrire modelli o soluzioni decisionali efficienti. Il progetto Pythia, finanziato dall’UE, intende sviluppare e diffondere l’uso di un sistema di intelligenza artificiale che si avvale di algoritmi di apprendimento profondo oggetto di approfondite ricerche, in grado di organizzare e pulire i dati per fornire modelli e strategie migliori. Questo sistema, Pythia, già testato nel settore della produzione della carta, è in grado di rilevare gli errori di produzione fino a 30 minuti prima e di coadiuvare nella verifica dell’efficienza delle soluzioni.
Obiettivo
With the digitalization of the industry, smart electronics and sensors that control and supervise every stage of the paper production process are available. However, current solutions to process the data such as manual data processing, neural networks design or other machine learning models cannot keep up with the amount of gathered data, providing inefficient decision-making models that ultimately do not solve the problem completely. PerfectPattern has developed, Pythia, An Artificial Intelligence (AI) solution based on deep learning algorithms, capable of autonomously gathering, cleaning and analysing data within seconds. Pythia is able to forecast error behavior of a highly complex production system around 30 minutes ahead, with a model that takes under a second to compute data. Thanks to this long pre-warning time, it is possible to build smart strategies to prevent the error. The system even allows to check with Pythia if the strategy will effectively avoid the future error. We not only deploy the leading edge research in AI from Mathematics, we understand key influences coming from leading edge science in Physics (string theory, quantum field theory). Therefore Pythia’s AI is a leapfrog in technology. Pythia has already reported economic benefits to the paper production industry. But the potential of Pythia goes beyond the paper industry. With its unsupervised data analytics and anomaly detection capabilities, Pythia can be expanded as a prediction and production control system for many other industrial applications. With the PoC of Pythia giving successful initial results; there are several big decisions to make before we can continue with the project. We are seeking now to conduct a feasibility study in order to direct our development and commercial efforts.
Campo scientifico
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymaterials engineeringwoodworking
- natural sciencesmathematicsapplied mathematicsmathematical model
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Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
81379 MUNCHEN
Germania
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.