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Ship cruising early warning dynamic monitoring method

A dynamic monitoring and ship technology, applied in the direction of ship traffic control, instruments, traffic control systems, etc., can solve the problems of low ship efficiency, shortened early warning time, complex situations, etc., to improve work efficiency, shorten work time, and improve accuracy. Effect

Active Publication Date: 2017-06-09
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above two methods are limited to a single situation, and the path is known, but when the ship is cruising in the ocean, the path changes at any time with the change of the ocean environment, the situation is complicated, the above two methods cannot be applied to the ship cruise, and the above The two methods are less efficient when applied to ship navigation
[0008] Therefore, there is an urgent need for a ship navigation early warning method that can be used in complex marine environments, and can also solve the problems of dynamic early warning for a single ship, shorten the early warning time, and improve the accuracy of early warning. However, there is no such early warning method yet. to report

Method used

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  • Ship cruising early warning dynamic monitoring method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] refer to figure 1 , the flow process of a kind of ship cruising warning dynamic monitoring method of the present invention is as follows:

[0050] S1: Communicate with the ship and obtain ship data;

[0051] S2: Calculate the space range of the ship's navigation;

[0052] S3: Obtain ocean data and form a data set;

[0053] S4: Use algorithms to optimize the data set;

[0054] S5: forming a dangerous area;

[0055] S6: Transmitting hazardous area data to the ship.

Embodiment 2

[0057] The specific work flow of a kind of ship cruising early warning dynamic monitoring method of the present invention is as follows:

[0058] S1: Communicate with ships and obtain ship data

[0059] Communicate with ships cruising on the ocean to obtain the two sets of data of the ship's current sailing position and current sailing speed.

[0060] S2: Calculating the space range of the ship's navigation

[0061] According to the current sailing speed of the ship, calculate the possible sailing area of ​​the ship within 24 hours, that is, a circular area centered on the current sailing position of the ship and taking the 24-hour straight-line sailing distance as the radius.

[0062] S3: Acquire ocean data and form a dataset

[0063] According to the current time and the forecast results of ocean values ​​(including sea wind data and wave data) of the day, obtain the maximum value of the ocean values ​​of the numerical forecast grid points in the region in the next 24 hour...

Embodiment 3

[0088] The experimental data of a kind of ship cruising warning dynamic monitoring method of the present invention are as follows.

[0089] The software and hardware environment of the present invention are Core i5CPU 2.40GHz, RAM 4.0GB, ORACAL database, Windows XP system and JavaScript programming language.

[0090] The specific parameters of the data collection method are assuming that the time is T0=3, the speed is V0, and 3*V0 is a layer,

[0091] There are (24*V0) / (3*V0)=8 layers in total, each layer randomly selects points, and decreases by 20% in turn.

[0092] At the same time, the Graham algorithm, the Jarvis algorithm and the improved Jarvis algorithm are used for comparative experiments, and the

[0093] The experimental data are shown in Table 1.

[0094] Table 1 Algorithm time

[0095]

[0096] It can be seen from the data in Table 1 that the improved Jarvis algorithm takes a shorter time when processing the same amount of data; and as the amount of data inc...

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Abstract

A ship cruising early warning dynamic monitoring method comprises the following steps of S1, communicating with a ship and obtaining ship data; S2, calculating a ship navigation space scope; S3, obtaining ocean data and forming a data set; S4, using an algorithm to optimize the data set; S5, forming a dangerous area; and S6, transmitting data of the dangerous area to the ship. The ship data comprise the current navigation position and the current navigation speed. The ship navigation space scope is a round area with the current navigation position at the center and the 24-hour line navigation distance as the radius. The ocean data comprise sea wind data and sea wave data. The method is advantaged in that the dangerous area where the ship may reach in 24 hours can be rapidly and effectively displayed; dynamic query and monitoring ensure the ship navigation safety; the data collection method improves the accuracy of early warning and provides auxiliary support for making a safe navigation decision for the ship; and an improved Jarvis algorithm is used to shorten the working time and improve the working efficiency.

Description

technical field [0001] The invention relates to the technical field of ship cruising early warning, in particular to a dynamic monitoring method for ship cruising early warning. Background technique [0002] The marine environment is complex and changeable, and the conditions that may cause damage to ships include natural factors such as strong winds and waves and other extreme weather, as well as human factors such as ship collisions, malicious attacks by enemy countries, pirates, etc. The safe driving of the ship is put to the test. In most cases, accidents are caused by extremely bad weather such as strong winds and waves. [0003] The convex hull algorithm is widely used in production and life. For example, it is used in the street congestion control system to contain criminal suspects. The point set of the intersection node of the street is regarded as a convex hull to form a convex hull; the convex hull algorithm is used for face recognition. In the process, contour ...

Claims

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Application Information

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IPC IPC(8): G08G3/00G08G3/02
CPCG08G3/00G08G3/02
Inventor 黄冬梅杨建吴萍梁素玲李明慧郑小罗
Owner SHANGHAI OCEAN UNIV
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