Descrizione del progetto
Un sistema intelligente individua i guasti nelle pompe a vuoto
Le pompe a vuoto sono impiegate in un’ampia gamma di applicazioni scientifiche e industriali quali la trasformazione alimentare e il trattamento dei semiconduttori, nonché la produzione farmaceutica e chimica. Queste pompe rimuovono gas da un volume chiuso, lasciando un vuoto parziale. I malfunzionamenti o i guasti causati da una manutenzione o configurazioni scorrette sono all’origine di ingenti perdite di entrate. Il progetto StarLink, finanziato dall’UE, sta sviluppando un sistema che sfrutterà l’analisi dei dati e l’apprendimento automatico per individuare malfunzionamenti nelle pompe a vuoto prima che si verifichino. Proporrà azioni di manutenzione correttive e aggiusterà automaticamente i parametri operativi. Il sistema proposto ridurrà i costi relativi ai guasti delle pompe a vuoto del 30 % e ne aumenterà la produttività del 50 %.
Obiettivo
Vacuum pumps are used in thousands of industrial applications, playing a vital role in food processing, semiconductors, chemicals, pharmaceuticals and many other manufacturing and assembly processes. However, today’s pumps are currently unable to provide any type of insights that could help users anticipate a pump malfunction, plan maintenance procedures or setting the adjustments. Pump malfunctions or breakdowns, due to unplanned maintenance or improper settings, cost millions of euros in lost revenues every year as production and logistic lines lie idle waiting for pumps to be fixed, and when they are not optimized their productivity decrease or their energy consumption go up.
But now, DVP, a vacuum pump manufacturer, has developed the solution to these challenges through StarLink, the world’s first intelligent vacuum pump system. StarLink is a patent-pending system that uses data analytics and machine learning to identify pump malfunctions before they happen, propose actions to be taken, and automatically adjust the operation parameters if the problem relates to the setting. This will reduce pump downtime-related costs by 30%, increase their productivity by 50% and make easier the operation manager tasks.
The combination of our deep knowledge of vacuum pumps needs with the machine learning expertise of the university of Ferrara will create the most intelligent device to improve the competitiveness of European companies. Additionally, StarLink will contribute to DVP’s growth in terms of employees and product portfolio since we will be able to offer a wider range of products and services related to vacuum pumps, which will allow us to enter new markets and sell more units. By 2023, it will generate €3M in yearly revenue with net profits of €2M to our company.
Campo scientifico
- natural sciencescomputer and information sciencesinternetinternet of things
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
40018 SAN PIETRO IN CASALE
Italia
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