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Energy-aware Factory Analytics for Process Industries

Descripción del proyecto

DEENESFRITPL

Una visión gemela del análisis de la fabricación

Los gemelos digitales son una simulación virtual de objetos reales. Una de las principales expectativas del uso de gemelos digitales es que pueden ofrecer la capacidad de observar y vigilar el comportamiento de sus respectivos gemelos físicos. El proyecto financiado con fondos europeos FACTLOG desarrollará una capa de procesamiento en tiempo real en la que observaciones, conocimiento y experiencia se mezclarán para comprender el comportamiento de control de un sistema complejo (cognición). Permitirá así el despliegue de la fábrica cognitiva como un conjunto de sistemas europeos de transferencia de créditos (ECT) independientes pero interrelacionados con capacidades de aprendizaje, detección y reacción a anomalías y perturbaciones. El consorcio, compuesto por veinte miembros, aportará conocimientos e innovaciones sobre el tema mediante la organización de distintos canales de aprendizaje automático y herramientas analíticas.

Objetivo

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.

Ámbito científico

Palabras clave

Programa(s)

Tema(s)

Convocatoria de propuestas

H2020-NMBP-ST-IND-2018-2020

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Convocatoria de subcontratación

H2020-NMBP-SPIRE-2019

Régimen de financiación

IA - Innovation action

Coordinador

MAGGIOLI SPA
Aportación neta de la UEn
€ 977 812,50
Dirección
VIA DEL CARPINO 8
47822 Santarcangelo Di Romagna
Italia

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Región
Nord-Est Emilia-Romagna Rimini
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 1 396 875,00

Participantes (20)

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Última actualización: 4 Marzo 2024

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

European Union, 2024