Descripción del proyecto
Un sistema inteligente detecta errores en bombas de vacío
Las bombas de vacío se utilizan para una amplia gama de aplicaciones industriales y científicas, como en el procesamiento de semiconductores y la transformación alimentaria, así como en la fabricación de productos químicos y farmacéuticos. Eliminan el gas de un volumen sellado, dejando un vacío parcial. Las anomalías o averías generadas por un entorno o mantenimiento inadecuados generan grandes pérdidas de ingresos. El equipo del proyecto StarLink, financiado con fondos europeos, desarrolla un sistema que aprovechará el análisis de datos y el aprendizaje automático para identificar anomalías en bombas de vacío antes de que se produzcan. Propondrá medidas de mantenimiento correctivas y ajustará automáticamente los parámetros de funcionamiento. El sistema propuesto reducirá los costes relacionados con el tiempo de inactividad de las bombas de vacío en un 30 % y aumentará su productividad en un 50 %.
Objetivo
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.
Ámbito científico
- 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
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
40018 SAN PIETRO IN CASALE
Italia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.