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.
Sensors,
Год журнала:
2024,
Номер
24(4), С. 1069 - 1069
Опубликована: Фев. 6, 2024
In
recent
years,
portable
and
wearable
personal
electronic
devices
have
rapidly
developed
with
increasing
mass
production
rising
energy
consumption,
creating
an
crisis.
Using
batteries
supercapacitors
limited
lifespans
environmental
hazards
drives
the
need
to
find
new,
environmentally
friendly,
renewable
sources.
One
idea
is
harness
of
human
motion
convert
it
into
electrical
using
harvesting
devices—piezoelectric
nanogenerators
(PENGs),
triboelectric
(TENGs)
hybrids.
They
are
characterized
by
a
wide
variety
features,
such
as
lightness,
flexibility,
low
cost,
richness
materials,
many
more.
These
offer
opportunity
use
new
technologies
IoT,
AI
or
HMI
create
smart
self-powered
sensors,
actuators,
implantable/wearable
devices.
This
review
focuses
on
examples
PENGs,
TENGs
hybrid
for
implantable
systems.
The
basic
mechanisms
operation,
micro/nano-scale
material
selection
manufacturing
processes
selected
discussed.
Current
challenges
outlook
future
also
Advanced Sensor Research,
Год журнала:
2024,
Номер
3(10)
Опубликована: Апрель 27, 2024
Abstract
The
greener
alternatives
to
tactile‐integrated
multimodal
sensors
with
self‐powered
and
self‐healing
abilities
are
highly
desirable
for
all‐in‐one
autonomous
sensing
systems,
particularly
impressive
in
diverse
application
ranges
including
smart
home,
healthcare,
e‐skin.
dynamically
self‐healable,
stretchable
piezoresistive
sensors,
triboelectric
nanogenerators
(TENGs)
reported
herein
constructed
by
a
facile,
industrially
viable
method
of
grafting
imidazolium
ions
on
epoxidized
natural
rubber
(ENR)
backbone.
Owing
cation‐
π
π–π
interaction
between
the
percolated
carbon
nanotubes
(CNTs)‐network
formed
non‐covalent
interactions,
interfacial
adhesion
filler
elastomer
is
shown
improve
considerably.
show
high
strain
sensitivity,
reversible
ionic
network‐assisted
self‐healability
(efficiency
≈80%)
wide‐ranging
detectability
precise
monitoring
human
movements.
Both
healed
pristine
feature
low
hysteresis
stable
electrical
outputs
over
wide
range
(≤200%).
While
achieving
rapid
efficiency,
substrates
exhibit
remarkable
robustness
harsh
climates
owing
significant
mechanical
toughness.
Supported
excellent
tactile
sensitivity
(2.12
V
N
−1
),
multifunctional
TENG‐enabled
sensor
yields
superior
power
density
(0.16
mW
cm
−2
).
Moreover,
TENG
module
exhibits
force
ease
operation
that
considered
versatile
all‐weather
integrated
solutions
future
technology.
Nanomaterials,
Год журнала:
2023,
Номер
13(19), С. 2718 - 2718
Опубликована: Окт. 6, 2023
The
quality
of
human
life
has
improved
thanks
to
the
rapid
development
wearable
electronics.
Previously,
bulk
structures
were
usually
selected
for
fabrication
high
performance
electronics,
but
these
are
not
suitable
electronics
due
mobility
limitations
and
comfortability.
Fibrous
material-based
triboelectric
nanogenerators
(TENGs)
can
provide
power
their
advantages
such
as
light
weight,
flexibility,
stretchability,
wearability,
etc.
In
this
work,
various
fiber
materials,
multiple
methods,
fundamentals
TENGs
described.
Moreover,
recent
advances
in
functional
fiber-based
introduced.
Furthermore,
challenges
discussed,
possible
solutions
suggested.
Finally,
use
hybrid
devices
is
introduced
a
broader
introduction
energy
harvesting
technologies.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 25, 2024
Collaborative
perception
between
a
vehicle
and
the
road
has
potential
to
enhance
limited
capability
of
autonomous
driving
technologies.
With
this
background,
self-powered
vehicle-road
integrated
electronics
(SVRIE)
with
multilevel
fractal
structure
is
designed
play
dual
role,
including
SVRIE
device
into
tires
array
embedded
surface.
The
pressure
sensing
anti-crosstalk
performance
are
characterized
separately
validate
feasibility
applying
in
cooperative
vehicle-infrastructure
system.
It
demonstrated
that
based
on
multi-layered
exhibits
maximum
collaborative
interaction
vehicles
information,
such
as
motion,
surface
condition,
tire
life
cycle
health
monitoring.
Traditional
data
analysis
methods
often
questionable
accuracy.
Therefore,
convolutional
neural
network
used
classify
conditions
accuracy
at
least
88.3%.
transfer
learning
model
constructed
identification
capabilities
100%
accuracies
motion
recognition
monitoring
97%
99%,
respectively.
This
work
provides
new
ideas
for
roadsides.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 23, 2024
Stretchable,
flexible
sensors
are
one
of
the
most
critical
components
smart
wearable
electronics
and
Internet
Things
(IoT),
thereby
attracting
multipronged
research
interest
in
last
decades.
Following
miniaturization
multicomponent
development
several
could
further
propel
demand
for
wireless,
multimodal
platforms.
Greener
substitutes
to
conventional
that
can
operate
a
self-powered
configuration
highly
desirable
terms
all-in-one
sensor
utilities.
However,
fabrication
composite-based
ultrastretchable,
with
multifunctionality,
robustness,
conformability
is
still
only
partially
achieved
and,
therefore,
demands
investigation.
In
this
work,
we
report
triboelectric
nanogenerator
(TENG)-based
multifunctional
strain
organic
vapor
using
cross-linked
ethylene
propylene
diene
monomer
(EPDM)
elastomer
conducting
carbon
black
as
active
fillers
presence
an
ionic
liquid.
The
resulting
piezoresistive
demonstrates
ultrahigh
gauge
factor
(GF
>
220k)
wide
range
sensitivity
is,
suitable
subtle-to-high
frequency
motion
detection
devices.
Supported
by
excellent
outputs
(force
0.5
V/N
50-300
N,
maximum
output
voltage
