Journal of Marine Engineering & Technology,
Год журнала:
2024,
Номер
unknown, С. 1 - 11
Опубликована: Дек. 2, 2024
The
autonomous
decision
regarding
anchoring
speed
is
one
of
the
key
technologies
in
design
and
implementation
an
intelligent
system.
at
which
a
vessel
drops
its
anchor
termed
speed.
In
order
to
find
suitable
for
anchoring,
mathematical
model
linking
chain
tension
established
on
basis
ship
kinetic
energy
model.
After
fully
considering
consumed
during
transition
from
touching
seabed
retrieval,
strength
requirements
equipment,
four
different
sizes
real
ships
are
selected
calculate
limit
value
when
does
not
exceed
brake
force
windlass
holding
power
respectively.
By
comparing
calculated
with
empirical
value,
reliability
verified.
Furthermore,
limitations
analyzed
suggestions
put
forward.
research
results
demonstrate
that
effectively
predicts
optimal
speeds,
bridging
gap
left
by
traditional
experience-based
methods.
Moreover,
only
supports
development
systems
but
also
allows
customisation
based
specific
characteristics
types.
Transportation Research Part C Emerging Technologies,
Год журнала:
2024,
Номер
165, С. 104749 - 104749
Опубликована: Июль 13, 2024
Accurate
prediction
of
ship
emissions
aids
to
ensure
maritime
sustainability
but
encounters
challenges,
such
as
the
absence
high-precision
and
high-resolution
databases,
complex
nonlinear
relationships,
vulnerability
emergency
events.
This
study
addresses
these
issues
by
developing
novel
solutions:
a
Spatiotemporal
Trajectory
Search
Algorithm
(STSA)
based
on
Automatic
Identification
System
(AIS)
data;
rolling
structure-based
Seasonal-Trend
decomposition
Loess
technique
(STL);
modular
deep
learning
model
Structured
Components,
stacked-Long
short-term
memory,
Convolutional
neural
networks
Comprehensive
forecasting
module
(SCLCC).
Based
solutions,
case
using
pre
post-COVID-19
AIS
data
demonstrates
reliability
pandemic's
impact
emissions.
Numerical
experiments
reveal
that
STSA
algorithm
significantly
outperforms
conventional
identification
standard
in
terms
accuracy
navigation
state
identification;
SCLCC
exhibits
greater
resistance
against
events
excels
comprehensively
capturing
global
information,
thus
yielding
higher
accurate
results.
sheds
light
changing
dynamics
transport
its
impacts
carbon
