TUT W3C Web Technology Day: Linked Data for Science and Industry - PowerPoint PPT Presentation

TUT W3C Web Technology Day: Linked Data for Science and Industry 3.10.2012 ,Tampere University of Technology

TUT/IHA – Tampere University of 2 Technology, Department of Intelligent Hydraulics and Automation 8 professors (incl. adjunct) (1.1.2013…) Total staff about 90 persons Location: Tampere, Southern Finland RESEARCH GROUPS: LABS: Heavy Research Lab Intelligent machines (GIM) Mobile Hydraulics Lab Mobile Hydraulics Intelligent Machine Test Hall Digital Hydraulics ITER-research Virtual Technology Lab Water hydraulics and high pressure water systems Oil analysis laboratory Condition Control of Fluid Power System Teaching lab Aircraft Hydraulics Real-time simulation and Virtual Technologies (Smart Simulators) Diesel engine injection systems Satellite Units: Condition Monitoring, Components, Rauma 3.10.2012

3 Multi-technological Smart Simulators –research group • Mathematical, physical and semantic modelling and simulation of dynamic systems • Simulator-aided teaching, pedagogical know-how and educational concepts • Fluid power systems, machine automation and smart diagnostics, FMS, factory automation and systems • Virtual reality systems, softwater development, information modeling and visualization • Process data analysis of machine and factory system simulators for competence profiling • Development and analysis of multi-technological systems using virtual environments Tampere University of Technology • Department of Mathematics/Hypermedia laboratory • Department of Intelligent Hydraulics and Automation • Department of Production Engineering Professor Project Manager Kari T. Koskinen Pekka Ranta Co-operation with 6 other departments in TUT Department of Intelligent Department of Hydraulics and Mathematics / Automation (IHA) Hypermedia laboratory Research Fellow Professor Project Manager Seppo Pohjolainen Minna Lanz Department of Departmant of Production Mathematics / Engineering Hypermedia laboratory scascasc 3.10.2012

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5 Simulation of a machine system The system is The information aquired is utilized for real time described visualization - but without real world’s restrictions mathematically 3.10.2012

6 6 Semantic modelling of a machine system • Comprehensive and linked model of a machine system • Consistent • Comprehensive Software • Compatible and linked Hydraulics/ • Machine handleable pneumatics • Rich • Expandble Mechanics Maintenance • Application supporting COMPREHENSIVE • Reusable LINKED MODEL OF A • Need for Virtual Machine Laboratory Product MACHINE development Information/ SYSTEM Bus • Need for efficient Systems Design of Documentation Machines Working Electronics SEMOGEN –project (3 years about 700 k€) process Principal Financier: Consortium: 3.10.2012

Engineering Intelligence Engineering Intelligence (EI ) is the ability for an engineering organization to orchestrate processes related to collaborative engineering, product lifetime information, competencies and intelligence of products and services with semantically rich, context-aware and intelligent ICT-solutions.”

Engineering Intelligence – inter-diciplinary and integrating research area

9 9 Virtual Machine Laboratory (VML) – Forest machine case • Technology platform • Dynamic real time simulation • Control of a Machine System (Joystics) • Cicuit visualization • 3D-visualization • Measurement equipment • Control of simulation time • Skenarios • Trainer’s equipment • Fault detection support Koskinen Kari T., TUT/IHA 1.10.2012 1.10.2012

Engineering Intelligence Ecosystem Intelligent management of information Cooperation Flows, Semantic modelling Customer orientation, Digitalization, Virtual technologies openness, networking ORCHESTRATION Smart and agile processes INFORMATION ACTIONS ORCHESTRATION ORCHESTRATION INTELLIGENCE COMPETENCE Intelligent product and service Operation models technologies New multi skills Intelligent decision making Continuous development Operation culture Management of larger ORCHESTRATION ensembles

Professor Kari T. Koskinen Tampere University of Technology Department of Intelligent Hydraulics and Automation P.O. Box 589, FIN-33101 Tampere, Finland tel. +358 3 3115 2177, fax +358 3 3115 2240, mobile +358 400 634 242 Email: kari.t.koskinen@tut.fi