This
project
introduces
an
Electricity
Power
Consumption
Monitoring
System
utilizing
the
PZEM004T
module
for
real-time
monitoring
of
electrical
parameters.
The
system
aims
to
enhance
energy
efficiency,
identify
faulty
devices,
and
provide
intelligent
load
control
through
a
mobile
app.
Employing
machine
learning
algorithms,
predicts
power
supply
quality
based
on
sensor
values,
offering
holistic
solution
efficient
management.Key
features
include
individual
device
current
consumption
monitoring,
fault
identification
with
alerts,
detailed
device-specific
information,
overall
overload
protection,
remote
via
contributes
informed
decision-making,
conservation,
proactive
maintenance.
lays
groundwork
future
advancements
in
renewable
integration,
user
behavior
analytics,
expanded
applications
both
residential
industrial
settings.
Transactions on Energy Systems and Engineering Applications,
Journal Year:
2025,
Volume and Issue:
6(1), P. 1 - 16
Published: March 4, 2025
Dielectric
Elastomer
Generator
(DEG)
stands
out
as
a
promising
electromechanical
device
to
harness
energy
from
non-conventional
sources
owing
its
ability
convert
mechanical
into
electrical
power.
DEG
with
no
rotating
part
demonstrates
high
performance-to-weight
ratio
ease
in
fabrication
and
compactness
that
sets
it
apart
traditional
harvesting
techniques.
Triboelectric
nanogenerators
(TENGs)
belong
self-powered
class
of
capitalizes
on
low-frequency
amplitude
sources.
Existing
models
for
predicting
the
performance
TENGs
often
assume
parameters
such
frequency,
amplitude,
relative
permittivity
are
constant.
However,
these
can
vary
depending
specific
application.
In
this
study,
modified
model
is
proposed
comprehensively
investigate
TENG
real-world
conditions
considering
fluctuations
varying
elastomer
layers.
Results
indicate
at
higher
frequency
55
Hz,
there
significant
increase
output
voltage,
attributed
release
rate
due
increased
velocity.
The
study
also
emphasizes
role
layers,
revealing
layers
dielectric
constants
generate
more
voltage
power
(151\%)
compared
those
lower
values,
particularly
separation
distance
0.1mm.
findings
exhibit
notable
concurrence
previously
reported
values
offer
valuable
framework
researchers
seeking
tailor
generators
enhanced
precision
harnessing
low-amplitude
With
the
accelerating
advancement
of
health
monitoring
and
intelligent
motion
detection
technologies,
wearable
flexible
sensors
have
emerged
as
indispensable
tools
for
real-time
human
activity
monitoring.
Self-powered
systems
centered
on
triboelectric
nanogenerators
(TENGs),
which
obviate
requirement
external
power
sources,
garnered
substantial
attention.
However,
attaining
both
high
electrical
performance
mechanical
flexibility
persists
a
pivotal
challenge.
To
tackle
this,
we
propose
groundbreaking
strategy
that
incorporates
two-dimensional
(2D)
graphene
conductive
template
with
amino-modified
BaTiO3
nanoparticles
(BaTiO3-NH2),
high-dielectric-constant
material,
to
develop
high-performance
TENG
detection.
The
dual
role
is
maximized:
its
superior
conductivity
facilitates
formation
microcapacitive
structures,
while
2D
sheet
structure
promotes
uniform
dispersion
BaTiO3-NH2,
mitigating
agglomeration
issues
maintaining
integrity.
fabricated
exhibited
remarkable
performance,
output
0.48
W/m2
in
single-electrode
mode
energy
harvesting
peak
open-circuit
voltage
380
V
sensing.
These
augmented
properties
permitted
precise
diverse
patterns
real-world
scenarios
broadened
application
sensing
ball
sports.
This
study
illustrates
synergistic
advantages
integrating
materials
high-dielectric
nanoparticles,
offering
promising
developing
next-generation
self-powered
sensors.
designed
possesses
significant
potential
harvesting,
sensing,
advanced
electronic
skin
applications
human-machine
interfaces.
Micromachines,
Journal Year:
2025,
Volume and Issue:
16(5), P. 526 - 526
Published: April 29, 2025
The
aim
of
this
paper
is
to
develop
a
compact,
rapid-response
pressure
sensor
for
underwater
propulsion.
Flexible
sensors
are
widely
utilized
in
human–computer
interactions
and
wearable
electronic
devices;
however,
manufacturing
capacitive
that
offer
broad
range
high
sensitivity
presents
significant
challenges.
Inspired
by
the
dermal
papillary
microstructure,
was
prepared
infusing
polydimethylsiloxane
(PDMS)
inside
an
anodic
aluminum
oxide
(AAO)
template
then
demolding
it.
resulting
exhibits
several
key
characteristics:
linearity
−5.2
6.3
kPa,
comprehensive
both
positive
negative
sensing
air
or
water
environments,
quick
response
time
52
ms,
recovery
40
excellent
stability.
presented
work
innovatively
applied
detect
pressure,
it
employed
swift
detection
changes
thrusters.
This
highlights
promising
potential
biomimetic
flexible
across
various
applications.
Journal of Materials Chemistry C,
Journal Year:
2024,
Volume and Issue:
12(30), P. 11603 - 11614
Published: Jan. 1, 2024
We
prepared
ultra-flexible
electrodes
for
wearable
TENG
applications
by
modifying
commercial
silver
paste
inks
and
employing
a
dispensing
printing
technique.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(10), P. 3038 - 3038
Published: May 10, 2024
Hydrogel
flexible
strain
sensors,
renowned
for
their
high
stretchability,
flexibility,
and
wearable
comfort,
have
been
employed
in
various
applications
the
field
of
human
motion
monitoring.
However,
predominant
method
fabricating
hydrogels
is
template
method,
which
particularly
inefficient
costly
with
complex
structural
requirements,
thereby
limiting
development
hydrogel
electronic
devices.
Herein,
we
propose
a
novel
that
involves
using
microgels
to
modify
solution,
printing
ink
an
electrohydrodynamic
device,
subsequently
forming
under
UV
illumination.
The
resulting
exhibited
tensile
ratio
(639.73%),
strength
(0.4243
MPa),
ionic
conductivity
0.2256
S/m,
along
excellent
electrochemical
properties.
Moreover,
its
linearity
sensitivity
enabled
monitoring
wide
range
subtle
changes
movement.
This
approach
offers
promising
pathway
high-performance,
complexly
structured
sensors.
Journal of Micromechanics and Microengineering,
Journal Year:
2024,
Volume and Issue:
34(9), P. 093001 - 093001
Published: July 25, 2024
Abstract
The
burgeoning
internet
of
things
and
artificial
intelligence
technologies
have
prospered
a
variety
emerging
applications.
Human–machine
interfaces
(HMIs),
for
instance,
enables
users
with
intuitive,
efficient,
friendly
way
to
interact
machines,
capable
instant
information
acquisition,
processing,
communication,
feedback,
etc.
These
features
require
ultra-compact
high-performance
transducers,
therefore
self-powered
sensors
become
the
key
underlying
technology
HMI
This
review
focuses
on
piezoelectric,
triboelectric,
hybrid
particular
attention
their
microstructures
fabrication
methods,
showing
that
both
traditional
microfabrication
methods
like
three-dimensional
(3D)
printing,
electrospinning,
braiding
contributed
planar,
array,
porous,
fabric,
composite
type
sensors.
Moreover,
integration
method
piezoelectric
triboelectric
sensor
arrays
is
investigated.
crosstalk
issue
highlighted,
i.e.
signal
interference
between
adjacent
sensing
units,
current
solutions
such
as
array
design
optimization,
processing
improvement,
material
innovation
reduce
sensitivity
been
reviewed
through
specific
examples.
Three
categories
applications
outlined,
including
intelligent
interaction,
robotics,
human
monitoring,
detailed
explanations
how
support
these
Through
discussion
challenges
prospects,
it
proposed
further
coordinating
micro
devices
HMIs
will
potentially
boost
application
even
higher
level
diversification,
convenience,
interconnectivity.
