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Intelligent Motion Control under Industry 4.E

Description du projet

Intelligence edge-to-cloud distribuée verticalement pour les robots et les systèmes cyber-physiques

Le projet IMOCO4.E financé par l’UE, vise à repousser les limites des systèmes mécatroniques, afin de les rendre plus intelligents et plus configurables. Pour ce faire, il combinera et exploitera de nouvelles informations sensorielles, des approches fondées sur des modèles, l’IA, l’apprentissage automatique et les philosophies de l’IdO industriel. IMOCO4.E créera une intelligence «de la périphérie au cloud» (edge-to-cloud) destinée aux machines, aux robots et aux autres systèmes d’automatisation avec intervention humaine. Rassemblant 46 partenaires issus de 13 pays, le projet contribuera à façonner l’avenir de la fabrication dans l’industrie 4.0 en Europe, en percevant et en contrôlant des machines complexes et des robots. Plus particulièrement, il proposera une architecture de référence qui sera vérifiée dans des applications pour les semi-conducteurs, l’emballage, la robotique industrielle et les soins de santé.

Objectif

IMOCO4.E targets to provide vertically distributed edge-to-cloud intelligence for machines, robots and other human-in-the-loop cyber-physical systems having actively controlled moving elements. They face ever-growing requirements on long-term energy efficiency, size, motion speed, precision, adaptability, self-diagnostic, secure connectivity or new human-cognitive features.
IMOCO4.E strives to perceive and understand complex machines and robots. The two main pillars of the project are digital twins and AI principles (machine/deep learning). These pillars build on the I-MECH reference framework and methodology, by adding new tools to layer 3 that delivers an intelligible view on the system, from the initial design throughout its entire life cycle. For effective employment, completely new demands are created on the Edge layers (Layer 1) of the motion control systems (including variable speed drives and smart sensors) which cannot be routinely handled via available commercial products.
Based on this, the subsequent mission is to bring adequate edge intelligence into the Instrumentation and Control Layers, to analyse and process machine data at the appropriate levels of the feedback control loops and to synchronise the digital twins with either simulated or real-time physical world. At all levels, AI techniques are employable.
Summing up, IMOCO4.E strives to deliver a reference platform consisting of AI and digital twin toolchains and a set of mating building blocks for resilient manufacturing applications. The optimal energy efficient performance and easy (re)configurability, traceability and cyber-security are crucial.
The IMOCO4.E reference platform benefits will be directly verified in applications for semicon, packaging, industrial robotics and healthcare. Additionally, the project demonstrates the results in other generic “motion-control-centred” domains.
The project outputs will affect the entire value chain of the production automation and application markets.

Coordinateur

SIOUX TECHNOLOGIES BV
Contribution nette de l'UE
€ 398 203,13
Adresse
ESP 405
5633 AJ Eindhoven
Pays-Bas

Voir sur la carte

Région
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Liens
Coût total
€ 1 592 812,50

Participants (46)