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

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TUT/IHA – Tampere University of Technology, Department of Intelligent Hydraulics and Automation

RESEARCH GROUPS: Intelligent machines (GIM) Mobile Hydraulics Digital Hydraulics ITER-research Water hydraulics and high pressure water systems Condition Control of Fluid Power System Aircraft Hydraulics Real-time simulation and Virtual Technologies (Smart Simulators) Diesel engine injection systems Satellite Units: Condition Monitoring, Components, Rauma

8 professors (incl. adjunct) (1.1.2013…) Total staff about 90 persons Location: Tampere, Southern Finland

LABS: Heavy Research Lab Mobile Hydraulics Lab Intelligent Machine Test Hall Virtual Technology Lab Oil analysis laboratory Teaching lab

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

Professor Kari T. Koskinen Department of Intelligent Hydraulics and Automation (IHA) Project Manager Pekka Ranta Department of Mathematics / Hypermedia laboratory Professor Seppo Pohjolainen Department of Mathematics / Hypermedia laboratory Research Fellow Project Manager Minna Lanz Departmant of Production Engineering

Tampere University of Technology

• Department of Mathematics/Hypermedia laboratory
• Department of Intelligent Hydraulics and Automation
• Department of Production Engineering

Co-operation with 6 other departments in TUT

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Simulation of a machine system

The system is described mathematically The information aquired is utilized for real time visualization - but without real world’s restrictions

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Semantic modelling of a machine system

• Comprehensive and linked model of a machine system
• Consistent
• Comprehensive
• Compatible and linked
• Machine handleable
• Rich
• Expandble
• Application supporting
• Reusable
• Need for Virtual Machine Laboratory

development

• Need for efficient Systems Design of

Machines SEMOGEN –project (3 years about 700 k€)

Electronics Bus Mechanics Hydraulics/ pneumatics Software Product Information/ Documentation Maintenance Working process

COMPREHENSIVE LINKED MODEL OF A MACHINE SYSTEM

Principal Financier:

Consortium:

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

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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

Intelligent management of information Flows, Semantic modelling Digitalization, Virtual technologies Cooperation Customer orientation,

• penness, networking

Smart and agile processes

ACTIONS

Operation models New multi skills Continuous development Operation culture Management of larger ensembles Intelligent product and service technologies Intelligent decision making

COMPETENCE INTELLIGENCE INFORMATION

ORCHESTRATION

Engineering Intelligence Ecosystem

ORCHESTRATION ORCHESTRATION ORCHESTRATION

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