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.
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(44), P. 60666 - 60677
Published: Oct. 25, 2024
The
conventional
behavior
recognition
strategy
for
wearable
sensors
used
in
high-temperature
environments
typically
requires
an
external
power
supply,
and
the
manufacturing
process
is
cumbersome.
Herein,
we
present
a
rational
design
based
on
fully
flexible
printable
materials
customized
device-manufacturing
skin-conformable
triboelectric
nanogenerator
sensors.
In
detail,
using
high
temperature-resistant
ink
3D
printing
technology
to
manufacture
coaxial
(C-TENG)
sensor,
C-TENG
exhibits
stretchability
(>400%),
wide
working
range
(>250
°C),
output
voltage
(>100
V).
can
be
worn
various
parts
of
human
body,
providing
robust
skin–device
interface
that
recognizes
diverse
behaviors.
Using
machine
learning
algorithms,
behaviors
such
as
walking,
running,
sitting,
squatting,
climbing
stairs,
falling
identified,
achieving
100%
accuracy
through
selective
input
optimization
appropriate
dataset.
This
paper
provides
research
perspective
customization,
extension,
rapid
fabrication
heat-resistant,
TENGs.
Technologies,
Journal Year:
2023,
Volume and Issue:
11(5), P. 136 - 136
Published: Oct. 3, 2023
Nanotechnologies
are
being
increasingly
widely
used
in
advanced
energy
fields.
Triboelectric
nanogenerators
(TENGs)
represent
a
class
of
new-type
flexible
energy-harvesting
devices
with
promising
application
prospects
future
human
societies.
As
one
the
most
important
parts
TENG
devices,
triboelectric
materials
play
key
roles
achievement
high-efficiency
power
generation.
Conventional
polymer
tribo-negative
materials,
such
as
polytetrafluoroethylene
(PTFE),
polyvinylidene
difluoride
(PVDF),
and
standard
polyimide
(PI)
film
Kapton®
trademark
based
on
pyromellitic
anhydride
(PMDA)
4,4′-oxydianiline
(ODA),
usually
suffer
from
low
output
performance.
In
addition,
relationship
between
molecular
structure
properties
remains
challenge
search
for
novel
materials.
current
work,
by
incorporating
functional
groups
trifluoromethyl
(–CF3)
strong
electron
withdrawal
into
backbone,
series
fluorine-containing
(FPI)
negative
friction
layers
have
been
designed
prepared.
The
derived
FPI-1
(6FDA-6FODA),
FPI-2
(6FDA-TFMB),
FPI-3
(6FDA-TFMDA)
resins
possessed
good
solubility
polar
aprotic
solvents,
N,N-dimethylacetamide
(DMAc)
N-methyl-2-pyrrolidone
(NMP).
PI
films
obtained
via
solution-casting
procedure
showed
glass
transition
temperatures
(Tg)
higher
than
280
°C
differential
scanning
calorimetry
(DSC)
analyses.
prototypes
were
successfully
fabricated
using
developed
layers.
electron-withdrawing
units
backbones
provided
an
apparently
enhanced
layer-based
showcased
especially
impressive
open-circuit
voltage
short-circuit
current,
measuring
277.8
V
9.54
μA,
respectively.
These
values
4~5
times
greater
when
compared
to
TENGs
manufactured
readily
accessible
film.
Micromachines,
Journal Year:
2023,
Volume and Issue:
15(1), P. 40 - 40
Published: Dec. 24, 2023
In
recent
decades,
the
development
of
electronic
technology
has
provided
opportunities
for
Internet
Things,
biomedicine,
and
energy
harvesting.
One
challenges
Things
in
electrification
era
is
supply.
Centralized
supply
been
tested
over
hundreds
years
history,
its
advantages
such
as
ideal
output
power
stable
performance
are
obvious,
but
it
cannot
meet
specific
needs
distributed
also
a
large
demand.
Since
invention
nanogenerators,
another
promising
solution
fluid
harvesting
opened
up.
The
triboelectric
nanogenerator
an
emerging
platform
electromechanical
conversion,
which
can
realize
collection
wind
wave
energy.
this
paper,
we
first
introduce
fundamentals
nanogenerators
their
applications
devices.
We
then
discuss
methods
device
optimization
next
TENG
conclude
by
considering
future
prospects
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.
