International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 4
Number 4
December 2010
479
1 INSTRUCTION
The environment of navigation has great change in
recent years. This make the maneuvering of ship be
more difficult. At the same time, ARPA (Automatic
Radar Plotting Aids), GMDSS(Global Maritime Dis-
tress &Safety System), GPS(Global Positioning Sys-
tem) and ECDIS(Electronic Chart Display and in-
formation System) etc. have applied in navigation,
the number of crew is decreasing. This make more
serious for manipulator. Eight percents of shipwreck
accident were caused by human factor according to
investigation.( Guedes Soares & Teixeira 2001,
Gaarder et al. 1997) To decrease the accident, and
increase the safety of navigation, researchers bring
in automatic maneuvering to instead of human’s job.
This method makes up for some human’s shortage,
and increases work efficiency. However, they find
that some accidents related to automatic equipment
late years. Some person research the strand accident
of “Royal Majesty” find that automation changed the
style of working, and formed a new way to making
mistake. So this paper proposes an intelligent evalu-
ation system of ship maneuvering, human is the ma-
jor in system, the system can calculate the status of
ship and collision risk, then display it functionality.
If the vessel gets into the critical area and time, the
system will adopts corresponding strategy when the
navigator does not adopt any measures.
2 HUMAN FACTOR
According data of Japanese Ship Safe Seminar in
1998, 84% shipwreck accident caused by human
factor. Other country and region also have similar
conclusion. The human’s factor attaches importance
to navigation safety, which has turn into people’s
consensus. Human have researched into human’s
factor indefatigably for ages, and form an academic
domain “Human Factor(Gaarder et al. 1997). With
the purpose of enhancing security and efficiency, it
is an extremely practical integrated subject. Human
factor can bring positive impact on traffic at sea, for
example human’s cognitive and perceive capacity is
stronger than instrument and equipment. It can bring
negative impact reversely, for example making a
mistake easily, forgetting memorial affair, limited
analysis precision. Human’s fault is one of major
reason in shipwreck, and comes in for human’s high-
ly respect.
Fault is the property of human, removing the fault
completely is an unpractical. Therefore, we should
adopt measures to reduce the harmful consequence
brought by man. To achieve a job, division of labor
is an efficacious practice. BRM (Bridge Resource
Management) and BTM (Bridge Team Manage-
ment) at sea are discussed more by researchers of
last year. VTS is a system of construct with vessels
taking part in VTS and VTS organization. It has cor-
rection capability on the part of whole system. VTS
attendant will correct it when ship has breach of reg-
Intelligent Evaluation System of Ship
Management
Q. Xu & X. Meng
Information Science and Technology College, Dalian Maritime University, Dalian,
China
N. Wang
Marine Engineering College, Dalian Maritime University, Dalian, China
ABSTRACT: The security of maritime traffic is a significant part of intelligent maritime traffic. It can reduce
to ship maneuvering and collision avoidance by macroscopic. Eighty percents of marine accident induce by
human factor from research data. So some researches about intelligent computer evaluation system to reduce
the accident of human caused have emerged. Intelligent evaluation system of ship maneuvering can calculate
the status of ship and getting the data of ship around, and then adopt fuzzy comprehensive evaluation method
to calculate the collision risk and evaluate the operation of navigator. If it has danger of collision risk or the
navigator adopts irrational operation scheme by calculating, the system will send message to the navigator.
The navigator must affirm the messages, if there is not affirmance, the system will adopt collision avoidance
measures or other rational operations automatically at the critical moment.
480
ulation phenomenon. Another method to reduce fault
is using alerting equipment. The equipment send out
warning to cause human’s attention when mistake
occurs. For example, ARPA can send out sound and
light warning when the DCPA and TCPA are small-
er than a setting value. Britain, Germany and Japan
develop BNWAS used to monitor steering and sail-
ing on duty. This system used to monitor the alert of
navigator, if the equipment detects that navigator
cannot perform the duty of his, it will send out gra-
dated outspread warning. At first, it will be in cage,
if there is no response it will extend to caption and
other sailor’s room.
3 INTELLIGENT EVALUATION SYSTEM
Traditional collision avoidance is that the sailor
adopts empirical collision avoidance according to
self-experience. It depends on navigator’s individual
intuition to make decision, if the risk is large, it will
be easy to make mistake. Collision avoidance expert
system and decision-making support system spring
up rapidly of late years. They have great auxiliary
effect to vessel collision avoidance.
Human is the principal part in the evaluation sys-
tem of ship maneuvering. We make use of computer
and develop intelligent evaluation system of ship
maneuvering. The system can gather dynamic in-
formation of vessel by AIS, ARPA, infrared and
photo electricity equipments(Thomas et al. 2008).
The information will be sent to the intelligent evalu-
ation system finally, the system will enter into dif-
ferent model according to encounter situation and
environment condition. The result of evaluation is
the current situation of ship.
3.1 The Structure of Intelligent Evaluation System
The evaluation system consist of many models, in-
cluding target ship identification, speculation and
prediction of encounter status, real evaluation of op-
eration, auto-collision avoidance strategy and risk
warning model etc. We can see from Fig. 1, the
evaluation system and operation of navigator form a
closed-loop control system. The system will evaluate
the performance of operation, and send out corre-
sponding signals. In this way it can make up the dis-
advantage of none precision calculation of human,
cut down the probability of human fault occurrence,
and secondly make use of human’s high adaptability
sufficiently.
3.2 Collision Risk Calculation
Ship collision risk calculation is one of the most im-
portant parts in the system. The quantification of
collision risk experience several stages basical-
ly(WU Zhao-lin & ZHENG Zhong-yi 2001). The
first one is traffic flow theory which use ship colli-
sion rate, encounter rate, collision probability to
evaluate the collision risk for special water area. The
second is ship domain and arena which is based on
human praxiology and psychology. (Fuji & Tanaka
1971), (Goodwin 1975) etc. who use this to calculate
collision risk. In the third stage, people have consid-
ered the dCPA(Distance at Closest Point of Ap-
proach) and tCPA(Time at Closest Point of Ap-
proach) in calculation, like (Davis et al. 1980). In the
fourth stage, combine dCPA and tCPA, adopt
weighting method to calculate collision risk at the
beginning(Kearon 1979, Imazu& koyama 1984).
This method exist obvious disadvantage that dCPA
and tCPA are two different variable. Then people
adopt fuzzy theory to combine dCPA and tCPA. At
present mostly research are based on the artificial in-
telligent technology as fuzzy theory, expert system,
neural network to calculate the collision risk(LI Li-
na 2006).
This paper adopt fuzzy compressive evaluation to
calculate CR(collision risk). The comprehensive
evaluation result can be used as subjective evalua-
tion, and also can be as objective one. Furthermore,
system security is a progressively process. We can
get perfect result through assessing the subordina-
tion of the factors. So we don’t use the weighting of
dCPA and tCPA to calculate collision risk, they ap-
plied fuzzy comprehensive evaluation in it. There
are many factors effecting CR. We only consider the
major factors here, the distance between target ship
and local ship d, the position of target ship θ, dCPA,
tCPA. So the target factors’ discourse domain is:
{ }
tCPAdCPAdu ,,,
θ
=
The allocation of target factors weight is:
),,,(
tCPAdCPAd
wwwwA
θ
=
0>
d
w
,
0>
θ
w
,
0>
dCPA
w
,
, and
1=+++
tCPAdCPAd
wwww
θ
Expert recommend:
12.0=
d
w
,
12.0=
θ
w
,
38.0=
dCPA
w
,
38.0=
tCPA
w
Target evaluation matrix is:
=
tCPA
dCPA
d
r
r
r
r
B
θ
(1)
;10;10;10;10
tCPAdCPAd
rrrr
θ
tCPAdCPAd
rrrr ,,,
θ
are target risk membership.
481
Figure1 . The diagram of evaluation system of ship maneuvering
Distance risk membership function is:
m
ml
l
lmm
dd
ddd
dd
dddddu
>
<
=
0
)]/()[(
1
)(
2
(2)
l
d
distance of the last minute avoidance
m
d
distance of adopt avoidance action
DLAKKKd
l
=
321
RKKKd
m
=
321
1
K
decided by visibility,
2
K
decided by water area status,
3
K
decided by human factor,
DLA
distance of the last minute action,
R
is the radius of arena.
)3600(,)]19(cos89.24.4)19cos(7.1
2
<++=
θθθ
R
(3)
Position of target ship membership function:
<
<
+
=
360180 ,
)
360
(
1
1800 ,
)/(1
1
)(
2
0
2
0
θ
θ
θ
θ
θθ
θ
u
(4)
0
θ
is according to the velocity ratio K of local ship
and target ship
t
v
v
K
0
=
(5)
1
1
1
180
90
40
0
>
=
<
=
K
K
K
θ
(6)
dCPA risk membership function:
>
<
+
=
0
0
0
0
,0
)],
2
(sin[
2
1
2
1
,1
)(
dCPAdCPA
dCPAdCPA
dCPA
dCPA
dCPA
dCPA
dCPAu
λ
λ
λ
π
λ
(7)
milen 1dCPA
0
=
,
)(2
0 t
LL +=
λ
,
t
LL ,
0
are the length of local and tar-
get ship.
tCPA risk membership function:
2
21
1
12
2
0
1
)(
ttCPA
ttCPAt
ttCPA
tt
tCPAt
tCPAu
>
<
=
(8)
s
l
v
d
t
)(
2
2
1
λ
=
(9)
s
m
v
dCPAd
t
)(
2
0
2
2
=
(10)
According to the fuzzy comprehensive evaluation
method.
tCPA
dCPA
d
tCPAdCPAd
r
r
r
r
wwwwBACR
θ
θ
== ),,,(
(11)
Collision risk is:
GPS positioning
system
ARPA radar
Integrated mete-
orological meter
AIS
Auxiliary observation
system
Speed meter and
depth meter
I
N
T
E
R
F
A
C
E
E
Q
U
Target ship
information
ship
operation
E
V
A
L
U
A
T
I
O
Hydrological
and weather
Screen, sound,
light etc. prompt
Emergency situation
auto decision making
model
Dynamic display
Local ship
information
Navigator’s
operation
482
][
tCPAtCPAdCPAdCPAdd
uwuwuwuwCR +++=
θθ
(12)
4 RESULTS
In a water area, local ship: course 000°, velocity 15
kn, length 75m, the visibility is better(K1=1, K2=1,
K3 =1), adopt DLA=1 n mile. Get the data from
ARPA, target ship: position θ=29.5°, distance d=3 n
mile, relative velocity vs=26.2 kn, dCPA=0.4 n mile,
tCPA= 7 min, length of target ship 110m. calculate
the collision risk of target ship against local ship.
According to the data and associative formula, we
can obtain:
u(dCPA) = 0.8500,
u(tCPA) = 0.3633 ,
u(θ) = 0.6477,
u(d) = 0.1624.
Divide the collision risk into 5 level:
I—— 1.000.91
II—— 0.900.81
III—— 0.800.71
IV—— 0.700.61
V—— 0.60 0.51
According to this division, 0.56 belong to IV lev-
el, middle danger. At this moment, the evaluation
system will display this for navigator. Navigator will
adopt suitable measures according to the information
and self judgment. The evaluation will calculate the
encounter status of two ships in real time. The sys-
tem will send an alarm to navigator for correcting it
when navigator adopts irrational operation. If there
is not any response at the point of last helm, the sys-
tem will adopt automatic collision avoidance strate-
gy.
5 CONCLUSION
Navigation is human’s job, human factor have finali-
ty affect to navigation safety, especially human’s
fault, and it is one of the major reason of shipwreck.
Human’s fault is unforeseen and unconquerable
completely, so we must adopt additional precautions
to improve and make up the affect of human’s fault
to navigation safety. With the development of in-
formation technology, computer is an advantageous
auxiliary facility. Human coordinate with computer
by constructing intelligent evaluation system of ship
maneuvering which makes up human weakness and
also solves the problem that computer is not adapta-
ble to environment. It makes use of the advantage of
human’s adaptability and computer’s calculation ca-
pacity. Therefore, this is a man-machine associative
method, and it is advantageous instrument in naviga-
tion.
ACKNOWLEDGEMENT
This paper is supported by “National Basic Research
Program of China”(No.2008CB417215). The Project
name is “Research on mechanism of shipping safety
and accident-forecasting theory”.
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