Digitalisation as day-to-day-business · 2016. 10. 26. · Virtual, augmented and mixed reality...
Transcript of Digitalisation as day-to-day-business · 2016. 10. 26. · Virtual, augmented and mixed reality...
www.kit.edu Karlsruhe Institute of Technology (KIT) – The Research University
in the Helmholtz Association
INSTITUTE FOR INFORMATION MANAGEMENT IN ENGINEERING
Digitalisation as day-to-day-business
What is today feasible for the company in the future
Prof. Jivka Ovtcharova
Baden-Württemberg – Driving force for the fourth industrial revolution in Germany I Dialogue with South Korea I Seoul I September 9th 2016
www.kit.edu Karlsruhe Institute of Technology (KIT) – The Research University
in the Helmholtz Association
INSTITUTE FOR INFORMATION MANAGEMENT IN ENGINEERING
Digitalisation as day-to-day-business
What is today feasible for the company in the future
Prof. Jivka Ovtcharova
Baden-Württemberg – Driving force for the fourth industrial revolution in Germany I Dialogue with Japan and South Korea I September, 2016
Prof. Jivka Ovtcharova Institute for Information Management in Engineering 3 9th of September 2016
1825
Karlsruhe University (TH)
Profile in brief
2009
Karlsruhe Institute of Technology
1956
Helmholtz Research Center
The Research University in the Helmholtz Association
EDUCATION RESEARCH INNOVATION Focused interdisciplinary collaboration:
Division I – Biology, Chemistry and Process Engineering
Division II – Informatics, Economics and Society
Division III – Mechanical and Electrical Engineering
Division IV – Natural and Built Environment
Division V – Physics and Mathematics
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Division III - optional clusters of institutes
Legend: assignment of institutes
Mechanical
Engineering Electrical
Engineering
Mixed
Product / Production
Engineering and Logistics Automation Applied Materials
Mechanics & Fluid Machinery Nano and Micro
Systems Power Plant Technology
Information & Communication Electrical Energy Vehicle
Technology
Helmholtz Association University
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Triad of digitalisation under one roof
EDUCATION RESEARCH INNOVATION
Institute for Information Management
in Engineering at KIT
Lifecycle Engineering
Solutions Center at KIT Research Division Intelligent Systems
and Production Engineering at FZI
Research assistants 20
Promotions (1st Advisor) 28
External / Industry Ph.D. students 12
Student assistants 30
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Engineering 360°
RESEARCH
INNOVATION
EDUCATION
Knowledge Screening
(Big) Data Analytics
(Engineering)Data
Acquisition
Human-Maschine Interaction
Feedback Management
Engineering Data Modeling and Simulation
Practical Implementation
Virtual & Experimental
Validation
LIFECYCLE
KNOWLEDGE
VALUE
GROUP 1
Lifecycle
Engineering
GROUP 2
Knowledge
Management
GROUP 3
Smart
Immersive
Environments
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Group 1- Lifecycle Engineering
Model-based Systems Engineering
Strategic Portfolio Planning
Product Lifecycle Information Management
Research topics:
Computer-Aided Design and Simulation
Business Process Management
Complete data acquisition from multiple unstructured data
sources and end-to-end process simulation
Real-time Tooling and Execution
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Group 2 - Knowledge Management
Self Learning Data Analysis
Recording of Various Machine Parameters
Fast Knowledge Extraction
Historical Data Processing for Forecasting
Research topics:
Reduced Energy Load Peaks
Control for Balanced Load Distribution
Energy Consumption Measurement
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Group 3 - Smart Immersive Environments
Multi Dimensional Service Prototyping
Virtual Reality Engine „PolyVR“
New Interaction Methods for VR/AR
Algorithms for Dynamic Virtual Scenes
Extensive 3D-Scanning and Reconstruction
Optimization of Human-Machine-Interaction
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Virtual Environments Lab Stereoscopic 7-channel VR
projection system, ART tracking
system
Mixed Reality Lab
Mobile projection, ART tracking
system and haptic devices
Communication Lab
Shared space for lectures, project
meetings and workshops
Content Creation Lab
Training and Development with CAx/PLM
Cooperation Lab
Spatial and technical cooperation
platform
Value Creation Lab
Demonstration and transfer of
research results
Energy Experience Lab
Mixed reality platform solutions for
energy efficiency
Tea Lab
Creativity pool
Lifecycle Engineering Solutions Center: Infrastructure Lifecycle Engineering Solutions Center
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Pictures: Lifecycle Engineering Solutions Center
Main questions
What does the digitalisation and Industry 4.0?
Why digitalisation everything changes?
Where are potentials for the day-to-day business?
How it looks in the implementation?
What is already possible today?
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Source: Industry 4.0 Collaboration Lab
The challenge “Industry 4.0”
End of the 18th century Beginning of the 20th century Beginning of the 70's Today
Deg
ree o
f In
no
vati
on
Time
Industry 1.0
Mass production
Mechanisation hydro- and steam
power
Industry 2.0
Mass distribution
Electrification electrical power and
vehicle mobility
Industry 3.0
World economy
Automation computer and information
technology
Industry 4.0
World society
Cyberisation smart devices and
interconnections of
business and society
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Transformative businesses
Graphics: M. Linse, KPCB, July 2015
Elimination of the local principle in the market, new business models,
customer driven value creation
Time
Value
ANALOGOUS
DIGITAL
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Lifecycle
Phases
Levels of
Added
Value
Network of
Functions
Reference Architecture Model (RAMI 4.0)
Source: Plattform Industrie 4.0, RAMI 4.0 VDI, VDE and ZVEI
Consolidation of guidelines, norms and standards
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Lifecycle
Phases
Levels of
Added
Value
Network of
Functions
Reference Architecture Model (RAMI 4.0)
Source: Plattform Industrie 4.0, RAMI 4.0 VDI, VDE and ZVEI
Consolidation of guidelines, norms and standards
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Industry 4.0 value creation loop
Source: Deloitte analysis
HUMAN
EXPERIENCE
(Front-Side) Realistic (logical,
intuitive) human
perception and
human-machine-
communication in real
time and in space
DATA AND
TECHNOLOGY
(Back-Side)
Sensors,
Network, Factory
Infrastructure,
Common Data
Models and
Algorithms
Video: Microsoft HoloLens
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Current practice: Simulated reality
Example: Robot simulation
What has changed in recent years?
Video: General Motors
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Future: Experienced reality
Video: Lifecycle Engineering Solutions Center
Example: Virtual factory planning
What does that mean?
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Future: Experienced reality
Video: InReal
IMMERSION REAL TIME
INTERACTION
MENTAL FEEDBACK
Natural Human-Computer Interaction
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Human-centred technologies
Virtual, augmented and mixed reality
Largely accessible high-speed network
technologies
Entertainment and gaming industry, 3D
movies and TVs, Microsoft HoloLens,
Oculus Rift, Samsung Gear VR headsets
Novel input devices Kinect, Leap Motion,
wearables
3D scanning and printing software, services Source: Lifecycle Engineering Solutions Center
Source: IndustryWeek, 25 February 2016 Zuckerberg I
“The next platform where anyone can experience anything they want.”
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Human-centred engineering methods
Team workplace
Decision-oriented
Real time
processing
Space motion
interaction Pictures: Lifecycle Engineering Solutions Center
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Virtual Engineering - view of the whole, at any moment!
Main principal
Source: Industry 4.0 Collaboration Lab
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Industry 4.0 Collaboration Lab
Opening Ceremony
September 24, 2014
Hannover Messe
April 14, 2015
Target Group: Small- and medium-sized companies in
Automation, Manufacturing and Services
Goal: Strengthening of competitiveness through
extensive digitalisation, networking and
real-time-enabled solutions for day-to-day
business
Solution: Test and qualification platform
Solving business problems individually
and pragmatically, through action Source: Industry 4.0 Collaboration Lab
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Data are necessary but not sufficient
Data
Information
Knowledge
Solution
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Digitalisation as day-to-day business and life
1. Complete data acquisition from multiple unstructured data sources
2. Intelligent data processing for Internet of Things ((IoT)
3. Operational intelligence algorithms for multidimensional “big” data
4. Automatic data quality check
5. Real-time data analysis and visualization on mobile devices
6. Subject-oriented (human-centered) business processes
7. Continuous qualification of all parties involved – living digitalisation for
the day-to-day business and life
Source: Industry 4.0 Collaboration Lab
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Example: Skill-based propagation
Use Case: Skill-based propagation of “plug &
produce"-devices for smart reconfigurable
manufacturing systems
Goal: Increase production system flexibility using
collaboration of cyber-physical assets that
offer different skills
Solution: Cloud-based Asset Management System
for manufacturing execution
Source: Industry 4.0 Collaboration Lab
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Example: Real-time tool management
Use Case: Process optimization and networking
taking account of resource flows
Goal: Optimizing the design and NC processes
via web interface due to technological data
from the manufacturing process
Solution: Real-time readout of machine data
Kinematic CAM simulation with real
tooling
Source: Industry 4.0 Collaboration Lab
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Example: Virtual twin of a milling machine
Use Case: Tool configuration and manufacturing
Goal: Manual and automatic operation and
configuration of tool machines via a 3D
Web interface in the Internet
Solution: Virtual twin of the machine and
automatic or manual control with a
haptic device (six degrees of freedom)
in real time
Source: Industry 4.0 Collaboration Lab
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Example: Virtual twin for factory planning
Use Case: Factory configuration and planning
Goal: Validation of large-scale integrated
production lines in real time
Solution: Integration of semantics, kinematics and
actuators of 3D models in AutomationML
Control over interactive website directly
in the virtual world
Connection of mobile devices
Source: Industry 4.0 Collaboration Lab
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Example: 3D energy experience
Use Case: Energy efficiency management in
buildings, cities and factories
Goal: Learning data analytics and management
of energy experience in immersive
environments
Solution: Real-time coupling of virtual and real
building models
Web-based energy efficiency
measurement in real time and in space Source: Industry 4.0 Collaboration Lab
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Use Case: Scalable 3D acquisition and analysis of
objects, tools or components
Goal: Generation of exact volume models in real
time performing semantic analysis
Solution:
Real-time large scale reconstruction of
extended and bounded 3D objects and
environments using automatic feature
extraction and time efficient algorithms
Dynamic model update
Example: Real-time 3D reconstruction
Video: https://youtu.be/v_1AAEMB2eg
Source: Siemens AG
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The future is now, go for it!
Source: Arena2036_1-Digitaler_Schatten_151215
Prof. Dr. Dr.-Ing. Dr. h.c. Jivka Ovtcharova Head of Institute Karlsruhe Institute of Technology (KIT)
Institute for Information Management in Engineering (IMI)
Zirkel 2, Bldg. 20.20, Room 267
76131 Karlsruhe, Germany
Phone: +49 721 608-42129
Fax: +49 721 608-43984
Email: [email protected]
www.imi.kit.edu
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The future is now, go for it!
Source: Arena2036_1-Digitaler_Schatten_151215