RESEARCH GROUP ISET SUSTAINABLE INDUSTRIAL

Transcription

1 ENTRE DE REHERHE EN UTMTIQUE DE NNY RESERH GRUP SUSTINBLE INDUSTRIL SYSTEM ENGINEERING Benoît IUNG ndré THMS M2I INS2I INSIS UMR 7039

2 : NE F THE THREE RN RESERH GRUPS 29 PERMNENTS PEPLE - 8 PRFESSRS - 21 SS. PRFESSRS 19 PH. D. 4 PST-D. 2 ENGINEERS Sustainable (Industrial) Systems Engineering ontrol-identification- Diagnosis ID - Dependable - Resilient System - mbient Intelligence Systems - onstrained ommunications Systems Health-Biology-Signal SBS - Identification and Modelling of Dynamical Systems - ontrol and ptimization of hybrid systems - Robustness and omplexity - Diagnosis and Tolerant Systems - o-design of Dynamical Systems with dependability Steel Energy erospace Manufacturing Defense industry Health Environment - Integrative Biology: ybernetics and radiation therapy - dvanced Diagnostics and Translational Research - Therapeutic Strategies and Innovative Molecular Targets - Study of Physiological Signals application ognition and Épilespsie - Multidimensional Signals approach 2

3 S SYSTEM-BSED Research group focused on the manufacturing domain with regards to Some concepts : From integrated production system to intelligent production system Product-based control system Factory of the Future paradigm (Industry 4.0) Some means : Machine tools, utomation system PL, Local networks, System as complex research object to take into account ecotechnical system built from the interactions between different constituents such as Human, Technical, rganizational ones (circular economy paradigm, industrial ecology) System characterised mainly as discrete event system integrating IT to evolve towards yber-physical System (PS) 3

4 System as research methodology for attacking the different issues Integrated vision advocated by System Engineering (system within its context; target system enabling systems) Life cycle vision S SYSTEM-BSED Major scientific objective To combine the different points of view on a system (specific models) all along its life cycle for developing an unified/consistent representation (holistic approach) allowing to support KPI assessment with regard to new paradigms in order to aid decision making in link to the following requirements: Dependability / Maintenance requirements to sustain the target system Dynamic control and scheduling requirements in link to physical and informational flows Quality of Service of the information communicated Researches well in phase with industrial and societal worlds 4

5 Main scientific domains addressed : Dependability, PHM/Maintenance Intelligent Production System, Intelligent Product/Material Quality of the Service for ommunication Network, Green IT, Sensors Networks Perfomance ssessment, Multi-criteria decision tool pplication Interoperability, Enterprise information system Numerical Engineering System Engineering Industrial Ecology Main scientific tool used: SysML, UML, B Method Graph Theory, Min-Max algebra, combinatory optimizing methods Temporal automata, Petri nets, Bayesain Networks, Belief function, SN, Gamma process ntology, MS S SYSTEM-BSED 5

6 : STRNG RELTINSHIPS WITH INDUSTRY Main application domains : Energy (e.g. nuclear power plant) Manufacturing (e.g. automotive sector) Building Environment Logistic & transport systems eronautics Well established relation with companies : PREDIT, BYESI t regional level: TRNE, SIT-BRUN, T-MBILIER, THIEBUT, RITTBIS t national level : EDF, SPHERE T&S, NES, SHNEIDER Electric, ontinental utomotive, RENULT, BUYGUES 6

7 : THREE RESERH TEMS SI mbiant Intelligent System SdFS System Dependability Integrated Vision on RMS parameters Proactive Maintenance PHM vision Target system support system Distributed ontrol of Production System Intelligent Product and bject Management of the Dynamic Flows Interoperability between the Flows Processing Decision Making 02 System of onstrained ommunications Global Vision on ommunication System - QoS Sensor Networks GREEN IT (footprint) Protocol ommunication Energy Management Performance ssessment 7

8 : THREE RESERH TEMS SI mbiant Intelligent System SdFS System Dependability Integrated Vision on RMS parameters Proactive Maintenance PHM vision Target system support system Distributed ontrol of Production System Intelligent Product and bject Management of the Dynamic Flows Interoperability between the Flows Processing Decision Making Models - DES - Probabilistic - onstraint-based - System-based.. nalysis Techniques - Qualitative - nalytical - Simulation 02 System of onstrained ommunications Global Vision on ommunication System - QoS Sensor Networks GREEN IT (foot print) Protocol ommunication Energy Management Performance ssessment 8

9 : 3 SIENTIFI DIRETINS SdFS To develop models and methods required to support and assess dependability for a system but in the context of an integrated vision of its RMS parameters Modelling of the RMS requirements; Development of the qualitative and quantitative models for the common assessment of the RMS parameters; prognostics models; decision-making models for supporting proactive and opportunistic maintenance; e-maintenance... SI 2 To support the optimisation of the flows (information, energy, material) within complex systems by means of (a) system design based on ambient intelligence, (b) definition of system dynamic control and (c) interoperability conditions of theses systems. Semantic Interoperability between distributed applications; distribution mechanisms of the information directly in the components and the products; Development of methodologies to combine quantitative and qualitative data extracted from product and system; Hybrid control and scheduling in centralised or distributed manner To develop models to design and validate architectures & protocols of communication but also to formalise and assess the network performances (QoS, consumption ) Modelling of the indicators and state of the network; identification of the relationships between the network parameters; tests of the networks; observation scale 9

10 : 3 SIENTIFI DIRETINS I S E T SDFS SI 2 ENVIRNMENT DMIN ENERGY DMIN MNUFTURIN DMIN I S E T Eco-technical production system based on ambient intelligence to ensure safety and performances - SI mbient intelligence all along the product life cycle; advanced information system; control/logistics based on the product; distributed/centralised Hybridation - 2 Sensor Networks; Wireless communication; Green IT - SdSF Intelligent component integrating its PHM capabilities; Maintenance based on the service; Logistics support; E-maintenance Intranet Internet Suppliers : observe : control : action Purchasing Product/process Production & engineering Sales ustomers 10

11 ND ITS LINK WITH FTRY F THE FUTURE Scientific positioning KI on dded Value Manufacturing STIMULER LE RENUVEU INDUSTRIEL PER yberentreprise T RY Relationhip with G. Le Marois (MENESR/MEIRIES) responsible of the French NMBP - FoF. FoF ollaborations with French Universities (ex. ENIT, LMIH), European ones (ex. Politecnico Di Milano) and also International ones (ex. Univ. of incinatti; Univ. of Laval) Societal positioning in the way to be FoF visible Lorraine Region all on FoF Platform of Expertise and reviewing of European projects or submissions for the FoF call Submission of projects in the FoF call (ex. FoF 11 & 14 in 2015) 11