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


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


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


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


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


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


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


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


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?


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


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


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


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


Current practice: Simulated reality

Example: Robot simulation

What has changed in recent years?

Video: General Motors


Future: Experienced reality

Video: Lifecycle Engineering Solutions Center

Example: Virtual factory planning

What does that mean?


Future: Experienced reality

Video: InReal

IMMERSION REAL TIME

INTERACTION

MENTAL FEEDBACK

Natural Human-Computer Interaction

Beyond the Mind_s Eye - 07 Windows.flv


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.”


Human-centred engineering methods

Team workplace

Decision-oriented

Real time

processing

Space motion

interaction Pictures: Lifecycle Engineering Solutions Center


Virtual Engineering - view of the whole, at any moment!

Main principal



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

http://www.solidline.de/home.html


Data are necessary but not sufficient

Data

Information

Knowledge

Solution


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



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



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



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



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



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


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


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


The future is now, go for it!

Source: Arena2036_1-Digitaler_Schatten_151215

Digitalisation as day-to-day-business · 2016. 10. 26. · Virtual, augmented and mixed reality...

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