The
paper
makes
the
case
for
future
of
innovation
in
context
Digital
Twins.
Transformation
to
new
technologies
is
a
phenomenon
that
impacts
on
innovations
all
sectors
economy.
It
has
enabled
creation
completely
digital
products
and
services
enhancement
traditional
ones
with
features.
Production
processes
are
also
change,
modes
human-to-machine
interaction.
Application
including
Twins
requires
preliminary
readiness.
Predictive
maintenance,
product
design,
internal
external
cooperation,
opportunities
business
production
some
DT
advantages.
main
objective
report
examine
pre-readiness
large
enterprise
firms
its
ecosystem
participate
twin.
study
goes
through
following
stages:
formulation
concept
"digital
twin"
present
study;
theoretical
exploration
relationship
between
twins;
benefit
incorporate
firm
into
twin
investigated
challenges
were
identified:
missing
strategy
overcoming
changes;
necessary
skills,
knowledge,
experience;
continuous
development
customer
needs;
opposition
change
inside
company;
security
considerations;
financial
pressure;
maintaining
working
old
systems.
Materials & Design,
Journal Year:
2024,
Volume and Issue:
244, P. 113086 - 113086
Published: June 25, 2024
Additive
manufacturing
(AM)
has
undergone
significant
development
over
the
past
decades,
resulting
in
vast
amounts
of
data
that
carry
valuable
information.
Numerous
research
studies
have
been
conducted
to
extract
insights
from
AM
and
utilize
it
for
optimizing
various
aspects
such
as
process,
supply
chain,
real-time
monitoring.
Data
integration
into
proposed
digital
twin
frameworks
application
machine
learning
techniques
is
expected
play
pivotal
roles
advancing
future.
In
this
paper,
we
provide
an
overview
twin-assisted
AM.
On
one
hand,
discuss
domain
highlight
machine-learning
methods
utilized
field,
including
material
analysis,
design
optimization,
process
parameter
defect
detection
monitoring,
sustainability.
other
examine
status
current
technical
approach
offer
future
developments
perspectives
area.
This
review
paper
aims
present
convergence
big
data,
learning,
Although
there
are
numerous
papers
on
additive
others
twins
AM,
no
existing
considered
how
these
concepts
intrinsically
connected
interrelated.
Our
first
integrate
three
propose
a
cohesive
framework
they
can
work
together
improve
efficiency,
accuracy,
sustainability
processes.
By
exploring
latest
advancements
applications
within
domains,
our
objective
emphasize
potential
advantages
possibilities
associated
with
technologies
Sensors,
Journal Year:
2023,
Volume and Issue:
23(18), P. 7742 - 7742
Published: Sept. 7, 2023
Although
standards
and
specifications
for
digital
twins
aim
to
create
interoperability
in
Industry
4.0,
each
standard
has
its
own
goals,
focuses
representations
twins.
This
paper
examines
an
approach
increasing
between
established
twin
by
transformation.
Accordingly,
several
are
presented
requirements
transformation
examined.
Following
the
feasibility
analysis,
a
mapping
Digital
Twin
Definition
Language
(DTDL)
Asset
Administration
Shell
(AAS)
was
created.
To
examine
of
this
approach,
implemented
tested
physical
asset.
demonstrates
that
generic
DTDL
AAS
can
be
applied
use
cases
where
models
provided
while
is
required.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1263 - 1263
Published: March 28, 2024
The
digital
twin
(DT)
paradigm
represents
a
groundbreaking
shift
in
the
Internet
of
Vehicles
(IoV)
landscape,
acting
as
an
instantaneous
replica
physical
entities.
This
synthesis
not
only
refines
vehicular
design
but
also
substantially
augments
driver
support
systems
and
streamlines
traffic
governance.
Diverging
from
prevalent
research
which
predominantly
examines
DT’s
technical
assimilation
within
IoV
infrastructures,
this
review
focuses
on
specific
deployments
goals
DT
sphere.
Through
extensive
scholarly
works
past
5
years,
paper
provides
fresh
detailed
perspective
significance
realm
IoV.
applications
are
methodically
categorized
across
four
pivotal
sectors:
industrial
manufacturing,
assistance
technology,
intelligent
transportation
networks,
resource
administration.
classification
sheds
light
diverse
capabilities
to
confront
adapt
intricate
challenges
contemporary
networks.
intent
comprehensive
overview
is
catalyze
innovation
by
providing
essential
reference
for
researchers
who
aspire
swiftly
grasp
complex
dynamics
evolving
domain.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(23), P. 10933 - 10933
Published: Nov. 25, 2024
This
comprehensive
review
explores
the
applications
and
challenges
of
Digital
Twin
(DT)
technology
in
smart
grids.
As
power
grid
systems
rapidly
evolve
to
meet
increasing
energy
demands
new
requirements
renewable
source
integration,
DTs
offer
promising
solutions
enhance
monitoring,
control,
optimization
these
systems.
In
this
paper,
we
examine
concept
context
grids,
their
requirements,
challenges,
integration
with
Internet
Things
(IoT)
Artificial
Intelligence
(AI).
We
also
discuss
different
asset
management,
system
operation,
disaster
response.
paper
analyzes
current
including
data
interoperability,
cost,
ethical
considerations.
Through
case
studies
from
various
sectors
Canada,
illustrate
real-world
implementation
impact
DTs.
Finally,
emerging
trends
future
directions,
highlighting
potential
revolutionize
networks
contribute
more
efficient,
reliable,
sustainable
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(10), P. 4125 - 4125
Published: May 13, 2024
The
present
research
proposes
the
implementation
of
an
architecture
for
industrial
process
monitoring
and
control
a
manufacturing
execution
system
(MES)
using
immersive
digital
twin
(DT).
For
design
proposal,
cyber–physical
systems
(CPS),
MES,
robotics,
Internet
Things,
augmented
reality,
virtual
open
platform
communication-unified
(OPC
UA)
communication
protocols
were
used
to
integrate
these
technologies
enhance
functionalities
DT
by
providing
greater
performance.
proposed
work
is
implemented
in
Industry
4.0
laboratory
that
composed
Festo
Cyber–Physical
Factory
CP-Lab
stations.
based
on
ISO
23247,
where
following
requirements
considered
DTs:
(1)
observable
attributes
3D
visualization
all
physical
production
lines
their
stages,
(2)
entity
through
OPC
UA
protocol
collection
state
changes
elements,
(3)
models
are
modeled
updated
collected
data,
(4)
user
entities
use
AR
VR
make
more
efficient.
experimental
results
showed
enables
interoperability
between
different
platforms
subsystems.
It
allows
detection
diagnosis
problems
during
line;
addition,
high-fidelity
simulation
environments
provided
with
data
obtained
real
time
can
improve
accuracy
efficiency
detailed
analysis
process,
advantages
such
as
interactive
creation
customized
products
continuous
innovation.
The
concept
of
Digital
Twins
has
been
in
the
field
for
a
long
time,
constantly
challenging
specification,
modeling,
design,
implementation,
and
exploitation
complex
cyber-physical
systems.
Despite
various
foundations,
standards,
platforms
Systems
Engineering,
there
are
ongoing
challenges
with
Verification
Validation
methodology.
This
study
aims
to
establish
generic
framework
that
addresses
aspects
Twinning.
multifaceted
nature
problem
requires
raising
abstraction
level
both
Real
(Actual)
Virtual
domains,
effective
dissemination
information
resources,
design
inspired
by
verification
validation.
proposed
combines
Quintuple
Helix
model
Problem
Operational
Domains
Twin,
Solution
Implementation
Execution
Domain
as
bridge
links
them.
dimensions
follow
Meta
Object
Facility
layers
(Instance,
Model,
Meta-model,
Meta-meta-model)
mapping
over
five
Helices.
Embedding
complexity
reduction
mechanisms
builds
suite
extendible
verifiable
digital
twinning
simulation
real-time
scenarios.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(16), P. 3303 - 3303
Published: Aug. 20, 2024
The
concept
of
digital
twins
has
been
in
the
field
for
a
long
time,
constantly
challenging
specification,
modeling,
design,
implementation,
and
exploitation
complex
cyber–physical
systems.
Despite
various
foundations,
standards,
platforms
systems
engineering,
there
are
ongoing
challenges
with
verification
validation
methodology.
This
study
aims
to
establish
generic
framework
that
addresses
aspects
twinning.
multifaceted
nature
problem
requires
raising
abstraction
level
both
real
(actual)
virtual
domains,
effective
dissemination
information
resources,
design
inspired
by
validation.
proposed
combines
quintuple
helix
model
operational
domains
twin,
solution
implementation
execution
domain
as
bridge
links
them.
Verification
dimensions
follow
meta
object
facility
layers
(instance,
model,
meta-model,
meta-meta-model)
mapping
over
five
helices.
Embedding
complexity
reduction
mechanisms
builds
suite
extendible
verifiable
twinning
simulation
real-time
scenarios.
application
main
conceptual
real-world
example
aids
this
research’s
intentions.
is
matter
further
research
endeavors.
Processes,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2711 - 2711
Published: Sept. 11, 2023
Aimed
at
the
characteristics
of
multi-source
heterogeneity
and
rapid
generation
data
in
digital
twin
workshops,
as
well
current
situation
where
communication
protocols
between
equipment
within
workshop
vary
greatly
are
difficult
to
interconnect,
a
integration
method
based
on
OPC
UA
is
designed.
Firstly,
combining
process
flow
source
array
antenna
assembly,
collection
transmission
scheme
was
Secondly,
information
model
assembly
established
realize
perception
solve
difficulties
complex
structure,
high
real-time
requirements,
heterogeneous
workshop.
Finally,
proposed
were
applied
performance
prediction
platform
for
an
twins,
achieving
during
antennas,
visualization
various
stages
antennas
data.