Bautechnik,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 17, 2025
Abstract
Zur
Bewältigung
der
Herausforderungen
alternden
Infrastruktur
und
des
Fachkräftemangels
kann
die
Digitalisierung
durch
Effizienzsteigerungen
einen
wesentlichen
Beitrag
leisten.
Die
Zielsetzung
ist
Realisierung
eines
Digitalen
Zwillings
Infrastruktur,
das
Bauwerksmanagement
sowohl
auf
technischer
als
auch
administrativer
Ebene
effizienter
gestaltet.
Bauwerksüberwachung
erfolgt
über
Erfassung
physischer
Veränderungen
deren
Übertragung
digitale
Abbild,
eine
Analyse
Ursachen
ermöglicht.
Erreichung
dieser
Ziele
werden
Methoden
wie
Building
Information
Modelling
(BIM)
Ontologien
eingesetzt.
sind
maschineninterpretierbare
Modelle,
Bauwerksinformationen
sowie
zugrunde
liegende
Expertenwissen
vereinen
somit
effizientere
Administration
ermöglichen.
BIM
ermöglicht
Verknüpfung
semantischer,
alphanumerischer
geometrischer
Informationen.
Der
bidirektionale
Informationsaustausch
zwischen
realen
Brückenbauwerken
digitalem
Abbild
Kern
Zwillings.
Dieser
Ansatz
wird
bislang
nur
in
einer
begrenzten
Anzahl
von
Projekten
teilweise
umgesetzt,
weshalb
ein
Blick
unterschiedlichen
Vorgehensweisen
mit
ihren
Vor‐
Nachteilen
damit
verbundenen
sinnvoll
ist.
Es
Vorgehensweise
für
Erstellung
Teilsystemen
Digitaler
Zwillinge
Basis
Structural
Health
Monitoring
vorgestellt.
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 43
Published: Feb. 27, 2024
The
metaverse
has
emerged
as
an
exciting
new
paradigm
for
human-computer
interaction
(HCI)
and
virtual
collaboration.
This
paper
presents
a
comprehensive
review
of
the
to
address
gap
in
existing
literature
where
there
is
lack
survey
that
reviews
nature
its
building
blocks
from
human-centric
perspective.
We
first
synthesize
definition
delineate
key
affordances.
then
introduce
detailed
framework
encompassing
metaverse's
nature,
infrastructure
technologies,
input/output
technologies
facilitate
multi-sensory
HCI,
alongside
applications
across
diverse
domains.
components
within
this
are
explained
depth,
offering
insights
into
readiness
level
current
technologies.
Based
on
analysis,
we
outline
major
open
challenges
propose
promising
directions
demanding
further
exploration
investigation.
By
clarifying
vision
characterizing
required
realize
it,
provides
essential
serves
invaluable
resource
developers
researchers
working
advance
transformative
medium.
Buildings,
Journal Year:
2023,
Volume and Issue:
13(11), P. 2725 - 2725
Published: Oct. 29, 2023
Effective
civil
infrastructure
management
necessitates
the
utilization
of
timely
data
across
entire
asset
lifecycle
for
condition
assessment
and
predictive
maintenance.
A
notable
gap
in
current
maintenance
practices
is
reliance
on
single-source
instead
heterogeneous
data,
decreasing
accuracy,
reliability,
adaptability,
further
effectiveness
engineering
decision-making.
Data
fusion
thus
demanded
to
transform
low-dimensional
decisions
from
individual
sensors
into
high-dimensional
ones
decision
optimization.
In
this
context,
digital
twin
(DT)
technology
set
revolutionize
industry
by
facilitating
real-time
processing
informed
However,
data-driven
smart
using
DT
not
yet
achieved,
especially
terms
fusion.
This
paper
aims
establish
a
conceptual
framework
harnessing
with
ensure
efficiency
infrastructures
throughout
their
lifecycle.
To
achieve
objective,
systematic
review
105
papers
was
conducted
thematically
analyze
approaches
frameworks
management,
including
applications,
core
technologies,
challenges.
Several
gaps
are
identified,
such
as
difficulty
integration
due
heterogeneity,
seamless
interoperability,
difficulties
associated
quality,
maintaining
semantic
features
big
technological
limitations,
complexities
algorithm
selection.
Given
these
challenges,
research
proposed
emphasizing
multilayer
fusion,
open
building
information
modeling
(openBIM)
geographic
system
(GIS)
immersive
visualization
stakeholder
engagement,
adoption
extended
foundation
classes
(IFC)
Journal of Infrastructure Intelligence and Resilience,
Journal Year:
2023,
Volume and Issue:
2(3), P. 100053 - 100053
Published: Aug. 15, 2023
Structural
Health
Monitoring
(SHM)
has
become
a
paramount
necessity
in
civil
engineering
for
improving
the
operational
performance
of
aging
infrastructure.
Recent
monitoring
techniques
have
utilized
emerging
technologies
Industry
4.0,
such
as
Internet
Things,
Big
Data
analytics,
cloud
computing,
and
cybersecurity,
to
automate
SHM
methodologies.
However,
they
found
challenges
linking
these
developing
an
autonomous,
well-established
digital
framework
applications
SHM.
Visualizing
processed
data
real-time
interface
generates
multiple
obstacles,
witnessing
delays
transfer
resorting
offline
tools
manual
processing.
This
paper,
therefore,
explores
integration
Building
Information
Modeling
(BIM)
Things
(IoT)
through
Arduino
micro-processing
unit
tracking
visualizing
from
time
frequency
domains.
Strategies
enabling
processing
are
developed
while
continuously
acquiring
structural
responses.
The
query
is
established
web-based
database
instead
storing
resources
that
await
intervention.
proposed
methodology
validated
experimentally
using
two
practical
applications:
dynamically
moving
vehicle
over
simply-supported
bridge
prototype
randomly
excited
three-story
model
with
visualization
both
time-
frequency-domain
information
under
undamaged
damaged
conditions.
research
develops
early-phase
Digital
Twin
(DT)
present
static
dynamic
rich-fed
BIM
database.
Advances in Applied Energy,
Journal Year:
2023,
Volume and Issue:
12, P. 100155 - 100155
Published: Oct. 6, 2023
The
urban
energy
infrastructure
is
facing
a
rising
number
of
challenges
due
to
climate
change
and
rapid
urbanization.
In
particular,
the
link
between
morphology
systems
has
become
increasingly
crucial
as
cities
continue
expand
more
densely
populated.
Achieving
neutrality
adds
another
layer
complexity,
highlighting
need
address
this
relationship
develop
effective
strategies
for
sustainable
infrastructure.
occurrence
extreme
events
can
also
trigger
cascading
failures
in
system
components,
leading
long-lasting
blackouts.
This
review
paper
thoroughly
explores
incorporating
into
models
through
comprehensive
literature
proposes
new
framework
enhance
resilience
interconnected
systems.
emphasizes
integrated
provide
deeper
insights
design
operation
addresses
failures,
interconnectivity,
compound
impacts
urbanization
on
It
emerging
opportunities,
including
requirement
high-quality
data,
utilization
big
integration
advanced
technologies
like
artificial
intelligence
machine
learning
proposed
integrates
classification,
mesoscale
microscale
process
consider
influence
morphology,
variability,
events.
Given
prevalence
climate-resilient
strategies,
study
underscores
significance
improving
accommodate
future
variations
while
recognizing
interconnectivity
within
IEEE Journal of Radio Frequency Identification,
Journal Year:
2024,
Volume and Issue:
8, P. 282 - 321
Published: Jan. 1, 2024
In
the
rapidly
evolving
landscape
of
Industry
4.0,
digital
twins
have
emerged
as
a
transformative
technology
across
various
industrial
sectors.
This
paper
presents
comprehensive,
in-depth
review
twin
models
in
terms
concept
and
evolution,
fundamental
components
frameworks,
existing
based
on
their
functionalities.
The
also
discusses
how
are
used/adopted
different
industries
highlights
challenges
potential
solutions
to
address
current
issues.
aims
provide
researchers
industry
professionals
with
clear
insight
into
unique
benefits
applications
models.
will
help
comprehend
significance
for
specific
purposes
foster
advancement
state-of-the-art
techniques
this
field.
