AMBIENT INTELLIGENCE SYSTEMS

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1 UMR 7039 Centre de Recherche en Automatique de Nancy UMR 7039 AMBIENT INTELLIGENCE SYSTEMS IN INDUSTRIES André THOMAS -ENSTIB ISET Department Team SIA, Ambient Intelligence Systems 1) Institutional presentation AGENDA 2) Ambiant systems research works 3) Intelligent Systems for Industries 4) Conclusions 2/

2 UMR 7039 INSTITUTIONAL PRESENTATION 3/ ISET research projects SIA Ambient Intelligence Systems SdFS System Safety Integrative vision of safetymaintenabilty-availability-security (FMDS) & (proactive) maintenance of both principal and support system Vision of flow dynamics (informational, physical, energy, ) of systems organised around the principle of ambiant intelligence to optimise/ streamline these flows & to assist in decision-making Eco-technical systems engineering SafeSystems, Ambiant Intelligence Systems, Product-drivenSystems, Systems, Networked& ControlledSystems C02 Constrained Communication Systems Global and long-lasting vision (Green IT) of the quality od service of new communication systems (sensor networks, networks with a low carbon footprint, communication material) through the design & validation of communication architectures and protocols but also through modelling & performance evaluation 4/

3 UMR 7039 Collaborations Partnerships Long-lasting industrial relations EDF, TRANE, Honeywell, Acta Mobiliers, SIAT-BRAUN, Long-lasting academic relations National : TEMPO, LURPA, UTT ICD, IRCyN International : Politecnico di Milano, Politecnico di Bari, Séville University, USACH University, Bio-Bio du Chili, Lulea University, Laval University Equipments Platforms TRACILOGIS & SAFETECH/CISPI 5/ TRACILOGIS :Infrastructure for experimentation To have a credibleindustrialsituation for evaluationand for assistance to new technologies integration Test-bed Emulation, simulation and optimisation models Automatic and semi-automatic simulation models generation Identification via vision, ultrasounds, micro-waves and X-Ray systems 6/

4 UMR 7039 AMBIENT SYSTEMS for enterprises and Supply Chains 7/ CENTRALIZED SYSTEMS CONCEPTS What is Product Flow Control? Planning ERP OF OF OF Push system 8/

5 UMR 7039 CENTRALIZED SYSTEMS CONCEPTS What is Product Flow Control? Planning ERP OF Kb Kb Kb Pull System 9/ CENTRALIZED SYSTEMS CONCEPTS Information Flow Synchronisation (Plossl 97) Product flow Information flow Synchronisation Challenges Material Flow 10/

6 UMR 7039 Our vision of product-driven systems (PDS) Active products (until 2003) Retain information about themselves Able to communicate with their environment Manufacturing Enterprise-wide control Services Flow material data & information data Goods Flow Products Flow Synchronisation thanks to RFID Manufacturing Plant-wide Control Product carrying Tag 11/ Structure of an active product (from 2009) 4 parts in an active product Communication capabilities Information exchange & storage Automatic identification Flow management Decision making capabilities Production management Link with its physical parts active /communicating material Interoperabilityvia the product New control strategies The active product framework Communication capacities Decision capabilities IS Identification Linked with its Physical part Self-Identification or induced identification Communicating material 12/

7 UMR 7039 Identification :Electronic Identification The product carries its own information Traceabilty of transformations Product state Necessary Requirements The product could become active in its own environment Logistic, manufacturing, services,... Technologies: RFID, WSN,... 13/ Identification : via biometric factors Product characteristics extraction Surface state, colour, peculiarity,... Product Identification (product «fingerprints») Integration in the Supply Chain System Adapt product transformation to its characteristics Technologies: Without contact sensors (Vision) : Micro-waves, X Ray, Visible 14/

8 UMR 7039 New control strategies : What s the product role? Our interpretation of stigmergy How to structure the control system What entities should exist? What kind of decisions should be allocated to the product/to other control entities? How should products interact with their environment? Contents? Interaction protocols? Environment Decision?? Product 15/ New control strategies : System Overview Active products as a way to achieve coordination amongst many actors Information systems Products observation devices (vision, measurement, etc...) Product transformation devices (machining, assembly, transportation, etc) Operators At a given instant (synchronous), or through time (diachronic) Operators Observation devices Information systems Ph Ph Products Ph Attributes (pheromones) active product Process 16/

9 UMR 7039 Intelligent systems for industries 17/ PILOTAGE DES FLUX DE PRODUITS DANS UNE USINE DE MEUBLES Illustration «Kanban Actif» 18/

10 UMR 7039 MAITRISE DE LA QUALITE DANS UNE USINE DE MEUBLES Illustration Rationalisation-Pilotage flux 19/ CONCLUSION Various interpretations of PDS-IP Much profit to be made Mature technologies Scientifics challenges. Nos publications sont à : 20/

11 UMR 7039 Nos publications sont à : AMBIENT INTELLIGENCE SYSTEMS IN INDUSTRIES André Thomas ISET Department Team SIA, Ambient Intelligence Systems andre.thomas@univ-lorraine.fr 21/

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