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February 10, 2018 1Prof. Dr Imre Horváth
This material is a protected intellectual property of the
Faculty of Industrial Design Engineering
Delft University of Technologyand
Prof. Dr. Imre Horváth
All rights reserved!No business exploitation is permitted!
Vermelding onderdeel organisatie
2February 10, 2018
New age, new systems, new services andnew challenges for students and teachers
of industrial design engineering
Prof. Dr. Imre Horváth
Cyber-Physical Systems DesignDepartment of Design Engineering
Faculty of Industrial Design EngineeringDelft University of Technologye-mail: [email protected]: prof.dr.imre.horvath.
February 10, 2018 3Prof. Dr Imre Horváth
Today’s lecture …
… is a personal view on:
Influencing trends Effects on products New design challenges Reflection on projects Prepare your future
February 10, 2018 4Prof. Dr Imre Horváth
Setting the stage for discussion …
February 10, 2018 5Prof. Dr Imre Horváth
Traditional customer durables
February 10, 2018 6Prof. Dr Imre Horváth
But the change is just around the corner …
February 10, 2018 7Prof. Dr Imre Horváth
Accelerating industrial revolutions
time
syst
em c
ompl
exiti
es
February 10, 2018 8Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
time
syst
em c
ompl
exiti
esmechanizesindustrial creation
by water andthermal processes
February 10, 2018 9Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
Second industrialrevolution
begin of 1900s
time
syst
em c
ompl
exiti
esmechanizesindustrial creation
by water andthermal processes
exploits fossil and electricenergies in production
and transportationprocesses
February 10, 2018 10Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
Second industrialrevolution
begin of 1900s
begin of 1950s
Third industrialrevolution
time
syst
em c
ompl
exiti
esmechanizesindustrial creation
by water andthermal processes
exploits fossil and electricenergies in production
and transportationprocesses
involveselectronics inautomation of
industrialized processes
February 10, 2018 11Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
Second industrialrevolution
begin of 1900s
begin of 1950s
Third industrialrevolution
time
syst
em c
ompl
exiti
es
Fourth industrialrevolution
midst of 1980s
mechanizesindustrial creation
by water andthermal processes
exploits fossil and electricenergies in production
and transportationprocesses
involveselectronics inautomation of
industrialized processes
proliferates informationand computing in
everyday creative andexecutive processes
February 10, 2018 12Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
Second industrialrevolution
begin of 1900s
begin of 1950s
Third industrialrevolution
time
syst
em c
ompl
exiti
es
Fourth industrialrevolution
midst of 1980s
Fifth industrialrevolution
midst of 2010s
mechanizesindustrial creation
by water andthermal processes
exploits fossil and electricenergies in production
and transportationprocesses
involveselectronics inautomation of
industrialized processes
proliferates informationand computing in
everyday creative andexecutive processes
revolution of intelligencethat permeates the societywith smart, cognizant andeven intelligent systems
February 10, 2018 13Prof. Dr Imre Horváth
Accelerating industrial revolutions
First industrialrevolution
end of 1700s
Second industrialrevolution
begin of 1900s
begin of 1950s
Third industrialrevolution
time
syst
em c
ompl
exiti
es
acceleration in timeand continuous increase of
artifactand process complexities
Fourth industrialrevolution
midst of 1980s
Fifth industrialrevolution
midst of 2010s
mechanizesindustrial creation
by water andthermal processes
exploits fossil and electricenergies in production
and transportationprocesses
involveselectronics inautomation of
industrialized processes
proliferates informationand computing in
everyday creative andexecutive processes
revolution of intelligencethat permeates the societywith smart, cognizant andeven intelligent systems
February 10, 2018 14Professor Dr Imre Horváth
What is the most influential factor nowadays?
February 10, 2018 15Professor Dr Imre Horváth
Changing computing paradigms (1)
digitalmainframecomputing
1960 - 70
February 10, 2018 16Professor Dr Imre Horváth
Changing computing paradigms (2)
digitalmainframecomputing
1960 - 70
networkedpersonal
computing
1980 - 90
February 10, 2018 17Professor Dr Imre Horváth
Changing computing paradigms (3)
digitalmainframecomputing
1960 - 70
networkedpersonal
computing
1980 - 90
embeddedubiquitouscomputing
1990 - 00
February 10, 2018 18Professor Dr Imre Horváth
Changing computing paradigms (4)
digitalmainframecomputing
1960 - 70
networkedpersonal
computing
1980 - 90
embeddedubiquitouscomputing
1990 - 00
cyber-physical
computing
2000 - 10
February 10, 2018 19Professor Dr Imre Horváth
Changing computing paradigms (5)
digitalmainframecomputing
1960 - 70
networkedpersonal
computing
1980 - 90
embeddedubiquitouscomputing
1990 - 00
cyber-physical
computing
2000 - 10
quantumcomputing
?
2010 - >>
February 10, 2018 20Professor Dr Imre Horváth
Changing computing paradigms (6)
digitalmainframecomputing
1960 - 70
networkedpersonal
computing
1980 - 90
embeddedubiquitouscomputing
1990 - 00
cyber-physical
computing
2000 - 10
quantumcomputing
?
2010 - >>
biologicalcomputing
?
2010 - >>
February 10, 2018 21Professor Dr Imre Horváth
And these influence everything around us!
February 10, 2018 22Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
February 10, 2018 23Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
embeddedsystems
February 10, 2018 24Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
embeddedsystems
distributedreal-timesystems
February 10, 2018 25Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
embeddedsystems
distributedreal-timesystems
networkedagent-basedsystems
February 10, 2018 26Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
embeddedsystems
distributedreal-timesystems
networkedagent-basedsystems
Internetof things
February 10, 2018 27Professor Dr Imre Horváth
Shifting paradigms of systems
advancedmechatronics
systems
embeddedsystems
distributedreal-timesystems
networkedagent-basedsystems
Internetof things
cyber-physicalsystems
February 10, 2018 28Prof. Dr Imre Horváth
Implication on system development
computingtechnologies
nano-technologies
bio-technologies
networkingtechnologies
transdisciplinarytechnology andsystem science
confluence of physical part and cyber part of systems
cybermatics
February 10, 2018 29Prof. Dr Imre Horváth
A comprehensive real life example
movie is linked here
February 10, 2018 30Professor Dr Imre Horváth
What is to be known about cyber-physical systems?
February 10, 2018 31Prof. Dr Imre Horváth
Getting to the center of research …
February 10, 2018 32Professor Dr Imre Horváth
A generic definition Cyber-physical systems:manifest as smart networked multi-actor systems are enabled by cyber-physical computing are examples of synergistic/compositional systems
and are characterized by deep diffusion into real-life physical processesmultiple sensing-reasoning-adapting-actuating loops dynamic resource and service provisioning applications in human/social/industrial contexts
February 10, 2018 33Prof. Dr Imre Horváth
Examples of CPSs
Air traffic control system Automated logistics system
Robotized military combat system Smart electric grid system
February 10, 2018 34Prof. Dr Imre Horváth
Other examples of CPSs
Caregiving assistive robotics systemCaregiving assistive robotics system
Self-driving car-fleet systemSelf-driving car-fleet system
Stroke rehabilitation assisting systemStroke rehabilitation assisting system
Follow-me 2D/3D printing system
February 10, 2018 35Prof. Dr Imre Horváth
Penetration into real life processes System control is synthesized based on information obtained
in run-time and real time from existent real-life processes
February 10, 2018 36Prof. Dr Imre Horváth
Penetration into real life processes System control is synthesized based on information obtained
in run-time and real time from existent real-life processes
February 10, 2018 37Prof. Dr Imre Horváth
Penetration into real life processes System control is synthesized based on information obtained
in run-time and real time from existent real-life processes
February 10, 2018 38Prof. Dr Imre Horváth
Penetration into real life processes System control is synthesized based on information obtained
in run-time and real time from existent real-life processes
RTC enables CPSs to adapt (sense, reason, learn, actuate,organize, evolve, reproduce) dynamically and reliably
February 10, 2018 39Prof. Dr Imre Horváth
human-human
interaction
human-system
interaction
system-human
interaction
system-system
interaction
hum
ansy
stem
human systemWho is
taking theinitiative toachieve the
objective?
Advanced reasoning model on interaction
The level ofinteraction
also plays animportant
role
February 10, 2018 40Prof. Dr Imre Horváth
Levels of interaction
agentA
apobetics
pragmatics
semantics
syntax
statistics
agentZ
transmittedsignal
appliedrepresentation
communicatedthoughts
expectedaction
intendedtarget
achievedresult
executedaction
comprehendedmeaning
understoodrepresentation
receivedsignal
physical connectivity
transferinterpretationmeaningoperationsuccess
February 10, 2018 41Prof. Dr Imre Horváth
These all come together here …
movie is linked here
February 10, 2018 42Prof. Dr Imre Horváth
Smart products and serviced will be in the focus
February 10, 2018 43Prof. Dr Imre Horváth
Can you imagine … …. a computer-controlled
system in which informationprocessing is not (or is notcompletely) preprogrammedlike in your desktop, laptop,tablet or smartphone?
What this system needs to do?
observe
adapt
reason
learn
It would be like an open finitereasoning automaton
February 10, 2018 44Prof. Dr Imre Horváth
Classical model of smart systems
knowledgebase
interfaces
cognitivemechanisms
actuators
datatransmitters
sensors
datareceivers
February 10, 2018 45Prof. Dr Imre Horváth
Five approaches to reproducing intelligence Symbolist approaches: Production rule-based Logical inferencing