[ Evariste | Forum ]
  
Madame monsieur

dans le cadre de l'appel en cours du PCRDT thématique TIC, nous vous signalons
une recherche de partenaire

Le centre SCCH souhaite monter un projet, en tant que coordinateur pour le
call
9 Technologies de l’information et de la communication, Objective 2 .1
Cognition and control of complex systems 
Le projet de proposition s’intitule : „Synthesis of Model and Cognition-Based
Diagnosis and Maintenance for Production Systems”.

Le centre de compétence K1 "Software"
(http://www.scch.at/en/forschung/forschungsprofil),  financé par le programme
autrichien Comet (plus d'infos ici
:http://www.bulletins-electroniques.com/actualites/64822.htm), est
équivalent à
un pôle de compétitivité français. 

Spécialisé dans l'ingénierie des logiciels, il compte environ 65 employés et
une petite trentaine d'entreprises partenaires (parmi lesquelles Siemens ou
Fujitsu), ce qui en fait l'un des plus grands centres de recherche
indépendants
en Autriche dans le domaine des logiciels. 

Les activités de SCCH se répartissent en quatre domaines clés
complémentaires :

- "Process and Quality Engineering" : il s'agit d'identifier, d'améliorer
et de
valider des logiciels ainsi que des concepts, des procédés, des méthodes
d'ingénierie dans l'optique de développer des logiciels de haute qualité en
optimisant l'investissement économique.
- "Models, Architecture and Tools" : cette activité vise à améliorer et à
évaluer différentes approches de création de logiciels – plus
spécifiquement la
création d'outils et de langages adaptés à un domaine précis (robotique,
contrôle de machines, contrôle de procédés...)
- "Data Analysis Systems" : l'accent est ici mis sur le développement de
concepts et technologies élaborés pour l'intégration de l'information et des
procédés.
- "Knowledge-Based Vision Systems" : le but est d'extraire des données de haut
niveau à partir de données visuelles afin de pouvoir analyser et suivre le
déplacement d'objets et d'inspecter et analyser des surfaces et des structures
tridimensionnelles. 

Le projet

Synthesis of Model and Cognition-Based Diagnosis and Maintenance for
Production
Systems Idea for Call 9, Objective 2.1 Cognition and control of complex
systems

Call target (b): “Enabling technologies based on the acquisition and
application of cognitive capabilities (e.g. establishing patterns in sensor
data, classification, conceptualisation, reasoning, planning) for enhancing
the
performance and manageability of complex multi-component and
multi-degree-freedom artificial systems, also building on synergies between
cognitive systems and systems control engineering.”

Abstract of Idea:
The project addresses the problem of designing effective monitoring, fault
detection, fault diagnosis and fault prediction systems for high-cost and
safety-critical processes of complex multicomponent systems. Such complex
systems are typically encountered in various branches of industrial
production,
particularly in chemical and manufacturing industry. Nowadays a broad range of
methods for monitoring, fault detection and prediction exists; ranging from
simple approaches like checking the admissible range of single observable
variables to complex model based and data driven approaches. However, the
proper synthesis of e.g. a fault diagnosis tool based on such methods for a
particular system is typically an individual research and development task for
which no unified methodology exists. We expect that future diagnosis systems
and especially their development, synthesis and manageability can
substantially
take benefit from taking all available information about sensor measurements
and knowledge about machine or plant specification into account. The
utilization of this potential requires interdisciplinary research between
systems control engineering, knowledge engineering, computational
intelligence,
and formal methods for high-level system design and analysis.

Particularly, the objective is the elaboration of methodologies and software
frameworks for
- using machine specifications to make knowledge about machine (plant resp.)
components operationalizable by applying formal methods for high-level system
design,
- using this knowledge to trigger the automatic synthesis of cognitive
diagnosis
systems that are capable of extracting hidden knowledge from (minimal) sensor
measurements by exploiting methods from control theory and engineering, causal
reasoning, transfer and structural learning, knowledge-based systems and
automatic reasoning, and
- designing thereupon maintenance and quality management systems that allow
anticipative and cognition-based planning of maintenance and quality assurance
operations.
The expected result is to achieve a substantially more effective methodology
and software for the synthesis of powerful plant diagnosis and maintenance
systems that moreover distinguish by improved transparency and
comprehensibility of analysis results.

The consortium needs to cover following aspects:
- control engineering
- knowledge engineering
- computational intelligence
- formal methods for high-level system design and analysis
- use cases and real-world scenarios

Pour plus d'information

Software Competence Center Hagenberg GmbH, 
Softwarepark 21, 
4232 Hagenberg 
Tel. +43 7236 3343 800, 
Fax +43 7236 3343 888, 
office@scch.at, 
www.scch.at 
FN 184145b, Landesgericht Linz, UID ATU 48056909

Mais vous piouvez aussi contacter directement l'ambassade de France en
Autriche

Nina GRISOT
Chargée de mission Programmes de R&D européens | Europäische
Forschungsprogramme
Service scientifique et universitaire de l'ambassade de France en Autriche |
Wissenschaftliche Abteilung der Französischen Botschaft
Währinger Strasse 30, A-1090 Wien
Tel (+43 1) 50 27 53 39,
nina.grisot@diplomatie.gouv.fr

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