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
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[0048] Example 1
[0049] Reference figure 1 , The process of a dynamic monitoring method for ship cruise early warning of the present invention is as follows:
[0050] S1: Communicate with the ship to obtain ship data;
[0051] S2: Calculate the scope of the ship's navigation space;
[0052] S3: Obtain marine data and form a data set;
[0053] S4: Use algorithms to optimize the data set;
[0054] S5: Form a dangerous area;
[0055] S6: Transmit the hazardous area data to the ship.
Example Embodiment
[0056] Example 2
[0057] The specific working process of the ship cruise early warning dynamic monitoring method of the present invention is as follows:
[0058] S1: Communicate with the ship to 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: Calculate the scope of the ship's navigation space
[0061] According to the current sailing speed of the ship, calculate the possible sailing area of the ship within 24 hours, that is, the circular area centered on the current sailing position of the ship and the radius of the 24-hour straight-line sailing distance.
[0062] S3: Obtain marine data and form a data set
[0063] According to the current time and the forecast results of the ocean value (including sea breeze data and wave data) of the day, obtain the maximum value of the ocean value of the numerical forecast grid point in the region in the next 24 hours,...
Example Embodiment
[0087] Example 3
[0088] The experimental data of the ship cruise early warning dynamic monitoring method of the present invention is as follows.
[0089] The software and hardware environment of the present invention is Core i5CPU 2.40GHz, RAM 4.0GB, ORACAL database, Windows XP system and JavaScript programming language.
[0090] The specific parameters of the data acquisition method are set time as T0=3, speed as V0, and 3*V0 as a layer,
[0091] There are a total of (24*V0) / (3*V0)=8 layers, each layer randomly picks points and decreases by 20% in turn.
[0092] At the same time, the Graham algorithm, Jarvis algorithm, and improved Jarvis algorithm are used for comparative experiments.
[0093] The experimental data is 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 has a shorter time when processing the same amount of data; and as the amount of data increases, the efficiency becomes more obvi...
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