Electronics,
Journal Year:
2023,
Volume and Issue:
12(23), P. 4880 - 4880
Published: Dec. 4, 2023
Triboelectric
nanogenerators
(TENGs)
have
garnered
significant
attention
due
to
their
ability
efficiently
harvest
energy
from
the
surrounding
environment
and
living
organisms,
as
well
enable
efficient
utilization
of
various
materials,
such
organic
polymers,
metals,
inorganic
compounds.
As
a
result,
TENGs
represent
an
emerging
class
self-powered
devices
that
can
power
small
sensors
or
serve
multifunctional
themselves
detect
variety
physical
chemical
stimuli.
In
this
context,
are
expected
play
pivotal
role
in
entire
process
food
manufacturing.
The
rapid
development
Internet
Things
sensor
technology
has
built
huge
platform
for
systems
testing.
TENG-based
data
provide
novel
judgment
classification
features,
offering
fast
convenient
means
safety
detection.
This
review
comprehensively
summarizes
latest
progress
application
field,
mainly
involving
quality
testing,
monitoring,
safety,
agricultural
production.
We
also
introduce
different
TENG-based,
detection
improvement
perspective
material
strategies
manufacturing
solutions.
Finally,
we
discuss
current
challenges
potential
opportunities
future
field.
hope
work
new
insights
into
structural
electronic
design
TENGs,
thereby
benefiting
environmental
protection
health.
Human-Centric Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 25, 2025
Abstract
Natural
disasters
can
be
fatal
and
necessitate
critical
thinking
in
decision-making
processes;
thus,
simulations
of
multiple
scenarios
must
evaluated
to
prepare
for
such
imminent
events.
An
Open
World
Machine
Learning
(OWML)
framework
has
been
proposed
as
a
focal
tool
improve
natural
disaster
management.
To
better
understand
formulate
comprehensive
foundation,
systematic
review
different
cases
was
conducted.
In
this
study,
four
types
disasters-earthquakes,
floods,
wildfires,
hurricanes-were
analyzed
using
machine
learning
techniques
within
the
OWML
framework.
The
essence
approach
lies
its
ability
accumulate
knowledge
from
various
sources
adapt
new,
unknown
event
types.
Moreover,
by
explicitly
incorporating
both
qualitative
quantitative
characteristics,
enhances
predictive
accuracy
adaptability.
results
demonstrate
that
models
effectively
process
large
geospatial
datasets
respond
looming
threats
with
greater
precision.
Albeit
some
limitations,
data
quality
model
complexity,
findings
suggest
serve
foundational
governments
reduce
expenditure
evacuation
strategies.
evolutionary
nature
allows
continuous
adaptation,
which
is
crucial
escalate
frequency
intensity
due
climate
change.
essence,
study
provides
significant
contribution
management
demonstrating
potential
frameworks
enhancing
processes.
Materials Science for Energy Technologies,
Journal Year:
2023,
Volume and Issue:
6, P. 547 - 553
Published: Jan. 1, 2023
Portable,
wearable
electronic
devices
have
spurred
the
rapid
development
of
flexible
and
stretchable
energy
harvesting/storage
with
high
density,
superior
mechanical
stability,
long
cycle
life.
Micro-supercapacitor
(MSC)
has
attracted
wide
interest
due
to
their
advantages
power
charge
discharge,
Fabrication
supercapacitors
based
on
laser
induced
graphene
(LIG)
shown
strong
potential
for
sensor
supply.
The
purpose
this
paper
is
propose
develop
a
micro-supercapacitor
(FMSC)
pressure
sensors.
FMSC
manufactured
from
planar
forked
finger
electrode
made
by
CO2
radiation
commercial
Polyimide
(PI)
film
PVA
polymer
gel
electrolyte.
FMSCs
prepared
method
exhibit
good
electrochemical
properties
excellent
properties.
microscopic
morphology
LIG
was
investigated
using
SEM,
optimal
laser-induced
determined
be
12.5%.
In
paper,
novel
fork-finger
pattern
applied
improve
performance
optimizing
structure
interdigital
electrodes,
at
12.5%
showed
supercapacitance
voltage
window
0.8
V
specific
capacitance
2.21
mF/cm2.
were
assembling
PI
films,
PVA,
H3PO4
simple
materials,
which
makes
it
possible
prepare
low
cost
efficiency
direct
writing
technology.
provide
sensors
continuously
collect
through
an
integrated
harvester,
promising
self-powered
wireless
sensing
platforms.
Energy Technology,
Journal Year:
2024,
Volume and Issue:
12(7)
Published: May 8, 2024
Triboelectric
nanogenerators
(TENGs)
are
promising
potential
sustainable
power
sources
for
wireless
sensing
networks
within
the
Internet
of
Things
(IoT)
realm.
Developing
an
efficient
TENG
evaluation
model,
characterized
by
high
speed,
accuracy,
and
representativeness,
facilitates
its
integration
into
practical
applications,
which
is
urgent
lack
investigation
currently.
Herein,
artificial
intelligence
(AI)
based
model
developed
to
predict
performance
freestanding
rotational
TENGs
(FR‐TENGs)
demonstration.
An
accurate
representative
train
dataset
essential
development
AI‐based
has
been
generated
using
finite
element
analysis
equivalent
circuit
simulation
alongside
non‐dominated
sorting
genetic
algorithm
II.
Through
comprehensive
experiments
simulations,
accuracy
verified
in
predicting
output
FR‐TENGs,
99.6%
(three
design
parameters)
99.2%
(seven
maximum
set
accuracy.
More
importantly,
predicted
results
from
have
notably
expanded
coverage
data
significantly
expedited
generation
time
days
seconds.
use
AI
assessing
enhanced.
The
process
can
be
simplified,
while
maintaining
a
thus
advancements
IoT
applications
future.
Biosensors and Bioelectronics X,
Journal Year:
2022,
Volume and Issue:
12, P. 100267 - 100267
Published: Oct. 13, 2022
Biomechanical
energy
in
food
cold
storage
is
a
promising
sustainable
for
realizing
the
self-powered
wireless
sensing
guaranteeing
quality
and
safety
by
door
status
monitoring.
This
paper
proposes
biomechanical
harvested
system
storage.
The
includes
harvester
(BEH),
micro-supercapacitor,
transmitter
receiver.
from
opening
closing
was
BEH
with
four
gear
sets
as
speed
increaser
an
electromagnetic
generator
(EMG)
electric
driven
crank.
generated
electricity
then
stored
micro-supercapacitor.
powered
micro-supercapacitor
transmitting
sensor
data
to
receiver
433
MHz
radio
frequency
(RF).
could
indicate
light
emitting
diodes
(LEDs)
also
wirelessly
transmit
smartphone
Bluetooth.
monitor
real
time
harvesting
closing,
improve
sustainability
of
guarantee
In
the
controlled
atmosphere
(CA)
storage
of
food,
it
is
particularly
important
to
control
concentration
CA
gas
and
master
information
such
as
temperature
humidity
food
surface.
This
paper
proposes
application
a
self-powered
wireless
flexible
sensing
system
based
on
triboelectric-electromagnetic
generator
in
storage.
To
configure
certain
concentrations
mixed
gases,
we
need
accurately
volume
input
into
tank
within
period,
flow
velocity
pipeline
will
directly
affect
this
factor.
The
detected
by
detection
part
(FVS)
with
an
independent
layer
working
mode
triboelectric
nanogenerator
(FV-TENG)
main
component.
At
same
time,
sensor
(THS)
attached
surface
monitors
real-time.
EMG
collects
irregular
wind
energy
warehouse
provide
for
processing
transmission
IoT
cloud
platform,
realizing
system's
self-power
transmission.
enables
remote
collection
precise
real-time
monitoring
warehouse.
new
idea
development
field
Electronics,
Journal Year:
2023,
Volume and Issue:
12(23), P. 4880 - 4880
Published: Dec. 4, 2023
Triboelectric
nanogenerators
(TENGs)
have
garnered
significant
attention
due
to
their
ability
efficiently
harvest
energy
from
the
surrounding
environment
and
living
organisms,
as
well
enable
efficient
utilization
of
various
materials,
such
organic
polymers,
metals,
inorganic
compounds.
As
a
result,
TENGs
represent
an
emerging
class
self-powered
devices
that
can
power
small
sensors
or
serve
multifunctional
themselves
detect
variety
physical
chemical
stimuli.
In
this
context,
are
expected
play
pivotal
role
in
entire
process
food
manufacturing.
The
rapid
development
Internet
Things
sensor
technology
has
built
huge
platform
for
systems
testing.
TENG-based
data
provide
novel
judgment
classification
features,
offering
fast
convenient
means
safety
detection.
This
review
comprehensively
summarizes
latest
progress
application
field,
mainly
involving
quality
testing,
monitoring,
safety,
agricultural
production.
We
also
introduce
different
TENG-based,
detection
improvement
perspective
material
strategies
manufacturing
solutions.
Finally,
we
discuss
current
challenges
potential
opportunities
future
field.
hope
work
new
insights
into
structural
electronic
design
TENGs,
thereby
benefiting
environmental
protection
health.
