Energies,
Год журнала:
2024,
Номер
17(20), С. 5205 - 5205
Опубликована: Окт. 19, 2024
Smart
mining
solutions
currently
suffer
from
inadequate
big
data
support
and
insufficient
AI
applications.
The
main
reason
for
these
limitations
is
the
absence
of
a
comprehensive
industrial
internet
cloud
platform
tailored
coal
industry,
which
restricts
resource
integration.
This
paper
presents
development
an
innovative
designed
to
enhance
safety,
operational
efficiency,
automation
in
fully
mechanized
China.
integrates
edge
computing,
real-time
processing,
AI-driven
analytics
improve
decision-making
maintenance
strategies.
Several
models
have
been
developed
proactive
face
equipment,
including
early
warnings
periodic
weighting
detection
common
faults
such
as
those
shearer,
hydraulic
support,
conveyor.
leverages
large-scale
knowledge
graph
Graph
Retrieval-Augmented
Generation
(GraphRAG)
technology
build
structured
graphs.
facilitates
intelligent
Q&A
capabilities
precise
fault
diagnosis,
thereby
enhancing
system
responsiveness
improving
accuracy
resolution.
practical
process
implementing
primarily
based
on
open-source
components
summarized
this
paper.
Buildings,
Год журнала:
2024,
Номер
14(11), С. 3446 - 3446
Опубликована: Окт. 29, 2024
The
use
of
Internet
Things
(IoT)
technology
is
crucial
for
improving
energy
efficiency
in
smart
buildings,
which
could
minimize
global
consumption
and
greenhouse
gas
emissions.
IoT
applications
numerous
sensors
to
integrate
diverse
building
systems,
facilitating
intelligent
operations,
real-time
monitoring,
data-informed
decision-making.
This
critical
analysis
the
features
adoption
frameworks
buildings
carefully
investigates
various
that
enhance
management,
operational
efficiency,
occupant
comfort.
Research
indicates
may
decrease
by
as
much
30%
operating
expenses
20%.
paper
provides
a
comprehensive
review
significant
obstacles
including
substantial
initial
expenditures
(averaging
15%
project
budgets),
data
security
issues,
complexity
system
integration.
Recommendations
are
offered
tackle
these
difficulties,
emphasizing
need
established
processes
improved
coordination
across
stakeholders.
insights
provided
seek
influence
future
research
initiatives
direct
academic
community
construction
engineering
management
about
appropriate
buildings.
study
resource
academics
practitioners
aiming
development
implementation
solutions
sector.
Kufa Journal of Engineering,
Год журнала:
2025,
Номер
16(1), С. 361 - 404
Опубликована: Фев. 4, 2025
The
global
use
of
IoT-enabled
devices
powered
by
renewable
energy
can
create
a
smart,
efficient,
and
eco-friendly
network.
By
leveraging
data
analytics
machine
learning,
these
systems
predict
consumption,
optimize
resources,
maintain
assets
proactively.
IoT
device
adoption
is
rapidly
increasing,
with
projected
13%
growth
in
2024,
bringing
the
total
to
18.8
billion
globally.
However,
there
critical
need
for
advanced
applications
technology,
improved
sensors
implementation,
up-to-date
software
development
control
which
essential
fully
harness
combat
warming,
ultimately
achieving
vision
smart
green
planet.
This
review
examines
operational
technical
needs
devices,
their
integration
various
sources
using
Raspberry
Pi
or
Arduino
platforms
equipped
(such
as
motion,
vibration,
flow,
gyroscope),
application
learning
showcase
potential
technologies
fostering
world.
To
further
this
investigation,
study
thoroughly
examined
pros
cons
integrating
develop
systems,
such
grids,
cities,
transportation,
waste
collection.
Additionally,
also
challenges
faced
providing
analysis
identifying
promising
directions
future
advancements.
E3S Web of Conferences,
Год журнала:
2025,
Номер
616, С. 03031 - 03031
Опубликована: Янв. 1, 2025
A
comprehensive
review
of
cyber-physical
architectures
for
DC
microgrids
is
presented,
focusing
on
the
integration
deep
learning
and
LoRa
technology
secure,
efficient,
scalable
communication
networks.
microgrids,
with
their
decentralized
energy
resources
low
inertia,
face
challenges
such
as
real-time
monitoring,
fault
detection,
vulnerability
to
cyber-attacks.
The
highlights
potential
long-range,
low-power
communication,
ensuring
seamless
data
exchange
between
distributed
components,
including
renewable
sources,
storage
systems,
control
units.
Deep
models
are
explored
application
in
predictive
maintenance,
cyber-attack
mitigation,
false
injection
attacks.
By
integrating
these
technologies,
underscores
enhanced
operational
efficiency,
robust
cybersecurity,
microgrids.
scalability
evaluated,
showing
suitability
diverse
microgrid
scales,
from
residential
setups
utility-level
implementations.
Findings
this
emphasize
synergy
IoT-driven
networks
machine
addressing
management
cybersecurity
challenges.
paper
calls
standardized
frameworks
collaborative
efforts
further
develop
deploy
resilient
architectures,
laying
groundwork
sustainable
efficient
systems
future.
