With
the
rapid
advancement
of
Internet
Things
(IoT)
technology,
its
applications
in
road
infrastructure
have
garnered
attention.
However,
challenges
persist
when
applying
IoT
to
pavement
monitoring,
including
insufficient
durability
front-end
sensors,
damage
due
sensor
embedding,
and
redundancy
a
vast
amount
real-time
data,
hindering
long-term
monitoring
pavements.
To
address
these
challenges,
this
study
developed
self-powered
distributed
intelligent
system
based
on
IoT,
encompassing
network,
cloud
platform,
communication
power
supply
system.
Taking
into
account
specific
characteristics
slipform
paving
for
cement
concrete
pavements,
an
integrated
process
was
proposed,
merging
embedded
sensors
with
material
structures.
Through
on-site
engineering
actively
collects
analyzes
various
data
types
such
as
energy
consumption,
temperature
humidity,
environmental
noise,
wind
speed
direction,
structural
vibrations,
providing
support
design,
maintenance,
vehicle-road
synergy
applications.
Future
efforts
will
continue
promote
application
technology
digital
traffic
safety,
optimized
structure
design.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(13)
Published: Jan. 19, 2024
Heat
dissipation
performance
is
crucial
for
the
operational
reliability
of
industrial
equipment,
which
can
be
monitored
by
detecting
wind
or
airflow
temperature
radiator.
The
emergence
triboelectric
nanogenerators
(TENGs)
provides
new
routes
energy
harvesting
and
self-powered
sensing.
Herein,
a
rotary
wind-driven
nanogenerator
(RW-TENG)
with
soft-contact
working
mode
newly
designed
to
achieve
tunable
contact
areas
utilizing
reliable
thermal
response
NiTi
shape
memory
alloy
(SMA)
air/wind
temperature.
RW-TENG
generate
different
outputs
under
air
stimulation
speeds
temperatures,
demonstrated
as
power
source
online
monitoring
sensors,
speed
sensing,
monitoring.
Specifically,
sensor
sensitivity
0.526
µA
m-1
s
between
2.2
19.6
m
s-1,
device
high
temperature,
show
relatively
short
time
(109
s),
strong
anti-interference
ability
outstanding
long-term
durability.
This
study
introduces
an
innovative
route
real-time
detection
in
wind-cooled
showing
broad
application
prospects
information
perception
intelligent
sensing
IoTs.
ACS Biomaterials Science & Engineering,
Journal Year:
2024,
Volume and Issue:
10(3), P. 1262 - 1301
Published: Feb. 20, 2024
The
rapid
maturation
of
smart
city
ecosystems
is
intimately
linked
to
advances
in
the
Internet
Things
(IoT)
and
self-powered
sensing
technologies.
Central
this
evolution
are
battery-less
sensors
that
critical
for
applications
such
as
continuous
health
monitoring
through
blood
metabolites
vital
signs,
recognition
human
activity
behavioral
analysis,
operational
enhancement
humanoid
robots.
focus
on
biosensors
exploit
body
energy-spanning
wearable,
attachable,
implantable
variants
has
intensified,
driven
by
their
broad
applicability
areas
from
underwater
exploration
biomedical
assays
earthquake
monitoring.
heart
these
lies
diverse
energy
harvesting
mechanisms,
including
biofuel
cells,
piezoelectric,
triboelectric,
pyroelectric
nanogenerators.
Notwithstanding
wealth
research,
literature
still
lacks
a
holistic
review
integrates
design
challenges
implementation
intricacies
sensors.
Our
seeks
fill
gap
thoroughly
evaluating
strategies
both
material
structural
perspectives
assessing
roles
powering
an
array
myriad
uses.
This
offers
comprehensive
outlook
state
devices,
tackling
nuances
deployment
highlighting
potential
revolutionize
data
gathering
autonomous
systems.
intent
chart
current
landscape
future
prospects,
providing
pivotal
reference
point
ongoing
research
innovation
wireless
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(20)
Published: March 22, 2024
Abstract
The
emergence
of
digital
twins
has
ushered
in
a
new
era
civil
engineering
with
focus
on
achieving
sustainable
energy
supply,
real‐time
sensing,
and
rapid
warning
systems.
These
key
development
goals
mean
the
arrival
Civil
Engineering
4.0.The
advent
triboelectric
nanogenerators
(TENGs)
demonstrates
feasibility
harvesting
self‐powered
sensing.
This
review
aims
to
provide
comprehensive
analysis
fundamental
elements
comprising
infrastructure,
encompassing
various
structures
such
as
buildings,
pavements,
rail
tracks,
bridges,
tunnels,
ports.
First,
an
elaboration
is
provided
smart
twins.
Following
that,
paper
examines
impact
using
TENG‐enabled
strategies
infrastructure
through
integration
materials
structures.
infrastructures
by
TENGs
have
been
analyzed
identify
research
interest.
areas
encompass
wide
range
characteristics,
including
safety,
efficiency,
conservation,
other
related
themes.
challenges
future
perspectives
are
briefly
discussed
final
section.
In
conclusion,
it
conceivable
that
near
future,
there
will
be
proliferation
accompanied
services.
Internet of Things and Cyber-Physical Systems,
Journal Year:
2024,
Volume and Issue:
4, P. 235 - 249
Published: Jan. 1, 2024
With
the
rapid
advancement
of
Internet
Things
(IoT)
technology,
its
applications
in
road
infrastructure
have
garnered
attention.
However,
challenges
persist
when
applying
IoT
to
monitoring,
including
insufficient
durability
front-end
sensors,
pavement
damage
due
sensor
embedding,
and
redundancy
a
vast
amount
real-time
data,
hindering
long-term
monitoring
pavements.
To
address
these
challenges,
this
study
developed
self-powered
distributed
intelligent
system
based
on
IoT,
encompassing
network,
cloud
platform,
communication
power
supply
system.
Considering
specific
characteristics
slipform
paving
for
cement
concrete
pavements,
an
integrated
process
was
proposed,
merging
embedded
sensors
with
material
structures.
Through
on-site
engineering
actively
collects
analyzes
various
data
types
such
as
energy
consumption,
temperature
humidity,
environmental
noise,
wind
speed
direction,
structural
vibrations,
providing
support
design,
maintenance,
vehicle-road
synergy
applications.
Future
efforts
will
continue
promote
application
technology
digital
traffic
safety,
optimized
structure
design.
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(11), P. 6236 - 6246
Published: Oct. 22, 2024
Combining
wearable
sensors
with
modern
technologies
such
as
internet
of
things
and
big
data
to
monitor
or
intervene
in
obesity-induced
chronic
diseases,
obstructive
sleep
apnea,
type
II
diabetes,
cardiovascular
Alzheimer's
disease,
is
great
significance
the
self-health
management
human
beings.
This
study
designed
a
loofah-conducting
graphite
four
friction
layer
enhanced
triboelectric
nanogenerator
(LG-TENG)
developed
health
system
for
motion
recognition
early
warning
breathing
abnormalities.
By
uniformly
spraying
depositing
conductive
on
surface
loofah
elastic
film
cross-interlocking
bending
structure
design,
signal
strength
LG-TENG
has
been
improved
by
390%.
The
stable
output
still
maintained
after
1500
s
continuous
operation
at
frequency
2
Hz.
can
realize
accurate
analysis
muscle
contraction
state.
different
deep
learning
models
resulted
98.1%
accuracy
recognizing
seven
categories
displacement
speeds
an
individual
96.46%
three
individuals.
In
addition,
monitoring
was
integrating
Bluetooth
wireless
transmission
upper
computer
technology.
aims
analyze
provide
real-time
warnings
sleep-breathing
research
promotes
innovation
TENG
technology
based
advantages
natural
materials,
recyclability
low
cost.
It
offers
new
ideas
scientific
exercise
obese
people,
showing
broad
application
prospect.
