KR101789808B1 - Ship operation index forecasting apparatus and the method thereof - Google Patents

Abstract

The present invention relates to a ship operation index forecasting apparatus and method for improving the safety of a ship by collecting maritime information and then predicting and deriving a ship operation index, .
The ship operation index predicting device includes a marine survey data DB 110 for storing marine survey data including numerical algae, sea currents and tide tables; An ocean observation information collection unit 130 for collecting current ocean observation information as an initial value for deriving the ship operation index; An exponential basic information predicting unit 140 for predicting exponential basic information for deriving the ship operation index using the marine observation information and the extracted marine survey data; A marine survey data extracting unit 150 for extracting marine survey data of the predicted location from the marine survey data DB 110 and outputting the data to the index basic information predicting unit 140; And a ship operation index deriving unit 160 for deriving a ship operation index using the index basic information predicted by the index basic information predicting unit 140 and the weight of the index basic information.

Description

[0001] SHIP OPERATION INDEX FORECASTING APPARATUS AND THE METHOD THEREOF [0002]

More particularly, the present invention relates to a method for predicting the safety of a ship by collecting maritime information and then predicting the ship operation index, And a method for predicting a ship operation index and a method thereof.

The changes in the sea environment are severe at times, and these changes have a great impact on the safety of marine navigation.

Accordingly, various forecasting or information providing systems for the marine environment have been developed.

For example, Korean Patent Laid-Open Publication No. 2016-0072432 is constructed as a system for providing only observation / prediction data and separate satellite data and model calculation information from the National Fisheries Research and Development Institute, Meteorological Administration and National Oceanographic Research Institute, In order to solve the problem of not taking into consideration the utilization of each other, it is necessary to systematically and historically manage and operate the state of the marine environment information established in the network group set up, so that forecasts and alarms are established in pre- To provide marine environmental observation data providing system.

Korean Patent Registration No. 1132828 discloses a method for collecting data provided for measurement or prediction for marine information operation and collecting at least one spatial region for a predetermined sea region according to a pre- And provides information indicating specific ocean information in the corresponding sea area based on the spatial data DB in response to a request from the user. do.

Korean Patent No. 1513591 discloses a method and system for displaying 3D spatial information generated by a web 3D engine that displays LOD and displays it on the screen in order to visualize marine spatial information accurately and accurately in real time so that web service can be performed over the Internet Launches a real-time ocean spatial information system using Web 3D, which provides tidal forecast data, tidal data, algae prediction data, weather satellite data, weather data, and typhoon route data, and electronic charts in conjunction with various real-time ocean data. do.

However, in the case of the above-mentioned prior arts, it is difficult for the person performing the activity in the ocean to judge the suitability of his / her marine activity in view of the forecast data and experience, It is not possible to present the present invention.

Korean Patent Publication No. 2016-0072432 Korea Patent No. 1132828 Korean Patent No. 1513591

SUMMARY OF THE INVENTION Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and it is an object of the present invention to provide a navigation system and a navigation system for a navigation system that divides a sea area into a wide area and a marina, And an object of the present invention is to provide a ship operation index forecasting apparatus and method therefor.

In order to achieve the above-mentioned object, a ship operation index predicting apparatus (100)

A marine survey database (110) storing marine survey data including numerical algae, ocean currents and tidal charts;

An ocean observation information collection unit 130 for collecting current ocean observation information as an initial value for deriving the ship operation index;

An exponential basic information predicting unit 140 for predicting exponential basic information for deriving the ship operation index using the marine observation information and the extracted marine survey data;

A marine survey data extracting unit 150 for extracting marine survey data of the predicted location from the marine survey data DB 110 and outputting the data to the index basic information predicting unit 140; And

And a ship operation index deriving unit 160 for deriving a ship operation index using the index basic information predicted by the index basic information predicting unit 140 and the weight of the index basic information. do.

Wherein the current ocean observation information includes:

It can include observation information of national oceanographic observation network including tide, sea water flow (ocean current, algae), water temperature, wind speed, wind direction and air pressure and observation information of Meteorological Agency including weather, temperature, insolation, wind speed and direction.

The index basic information includes:

Meaningful wave, direction, flow velocity, wind direction, and wind speed information.

Wherein the exponential basic information predicting section predicts, for predetermined positions of the sea,

A seawater numerical value prediction unit 141 for applying the ocean observation information to a seawater numerical value prediction model (ROMS) to predict a direction and a flow velocity of the seawater after a predetermined time point;

A weather prediction unit 143 for applying the ocean observation information to the weather prediction model WRF to predict a wind direction and a wind speed after a predetermined time point; And

And a wave predictor 145 for applying the ocean observation information to the wave prediction model WW3 to predict a significant wave height after a predetermined time point.

The ship operation index deriving unit 160,

After dividing the wide area set for calculation of the ship operation index into grid points having predetermined distance, the lateral wind velocity and the lateral directional force acting in the transverse direction with respect to the ship's course from the basic index information predicted at each grid point And long - term algae,

The weight (A) for the lateral wind speed was 0.96, the weight for the lateral bird (B) was 0.83, the weight for the longitudinal bird (C) was 0.29 and the weight for the significant wave ) Is set to 1.92,

For derivation of exponential basic information,

3, for 10 m / s to 14 m / s, 2 for 14 m / s or more and 1 for 14 m / s or less if the applicable value (A) for the transverse wind speed is less than 7 m / s. and,

4 for below 0.10 m / s, 3 for below 0.10 m / s to 0.26 m / s, 2 for 0.77 m / s above 0.77 m / s, s is set to 1,

4 for below 0.77 m / s for longitudinal algae, 3 for below 0.77 m / s to 1.12 m / s, 2 for 1.54 m / s above 1.54 m / s is set to 1,

(D) for significant wave height is set to 4 for 0.5 m or less, 3 for 0.5 m to 1.0 m, 2 for 1.0 m to 2.0 m and 1 for 2.0 m,

(A) + applied value (B) X weight (B) + applied value (C) X weight (C) + applied value (D) X weighted value (D) } / 4. ≪ / RTI >

The ship operation index deriving unit 160,

After dividing the port area set for the calculation of the ship operation index into grid points having a predetermined separation distance, the wind speed and the significant wave height are derived from the predicted index basic information at each grid point,

The weight (a) and the weight (d) for the wind speed are set to 0.67 and 1.33, respectively,

For derivation of exponential basic information,

For the wind speed less than 5 m / s, it is set to 3, for the wind speed not less than 10 m / s and not more than 10 m / s, for the wind speed not more than 14 m / s,

(D) for the significant wave height is set to 4 for 0.3 m or less, 3 for 0.3 m to 1.0 m, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m,

Can be configured to derive the harbor (marina) ship operation index by = {application value (a) X weight (a) + applied value (b) X weight (b)} / 2.

According to an aspect of the present invention,

An ocean observation information collection step (S100) for collecting ocean observation information as an initial value for predicting exponential basic information after a predetermined time by the ocean observation information collection unit (130);

Using the ocean observation information and the exponential information prediction models collected by the ocean observational information collection unit 130, significant digits, intention, flow velocity, wind direction and wind velocity information are calculated for each predetermined point in order to derive the ship operation index after a predetermined time An exponential basic information predicting process (S200) for predicting exponential basic information that includes;

A wide-port classification process (S300) for classifying whether a ship operation index derivation area is a wide area or a harbor (marina); And

(S410) for deriving a wide-area ship operation index for a wide area by the ship operation index deriving unit 160 after being classified by the wide-port sorting process (S300) and for the harbor (Marina) (S400) of deriving a ship operation index including a port (marina) ship operation index derivation process (S420) for deriving the port ship operation index (S400).

The exponential basic information predicting process (S200)

The seawater numerical value predicting unit 141 predicts the introductory and flow rates of the seawater after a predetermined time point by applying the ocean observation information to the seawater numerical prediction model (ROMS)

The weather prediction unit 143 predicts the wind direction and the wind speed after a predetermined time by applying the ocean observation information to the weather prediction model WRF,

And the wave predictor 145 may apply the ocean observation information to the wave prediction model WW3 to predict a significant wave after a predetermined time.

The wide area ship operation index derivation process (S410) The ship operation index deriving unit 160,

After dividing the wide area set for calculation of the ship operation index into grid points having predetermined distance, the lateral wind velocity and the lateral directional force acting in the transverse direction with respect to the ship's course from the basic index information predicted at each grid point And long - term algae,

The weight (A) for the lateral wind speed was 0.96, the weight for the lateral bird (B) was 0.83, the weight for the longitudinal bird (C) was 0.29 and the weight for the significant wave ) Is set to 1.92,

For derivation of exponential basic information,

3, for 10 m / s to 14 m / s, 2 for 14 m / s or more and 1 for 14 m / s or less if the applicable value (A) for the transverse wind speed is less than 7 m / s. and,

4 for below 0.10 m / s, 3 for below 0.10 m / s to 0.26 m / s, 2 for 0.77 m / s above 0.77 m / s, s is set to 1,

4 for below 0.77 m / s for longitudinal algae, 3 for below 0.77 m / s to 1.12 m / s, 2 for 1.54 m / s above 1.54 m / s is set to 1,

(D) for significant wave height is set to 4 for 0.5 m or less, 3 for 0.5 m to 1.0 m, 2 for 1.0 m to 2.0 m and 1 for 2.0 m,

(A) + applied value (B) X weight (B) + applied value (C) X weight (C) + applied value (D) X weighted value (D) } / 4. ≪ / RTI >

The procedure for deriving the port operation index (S420) is as follows. The ship operation index deriving unit 160,

After dividing the port area set for the calculation of the ship operation index into grid points having a predetermined separation distance, the wind speed and the significant wave height are derived from the predicted index basic information at each grid point,

The weight (a) and the weight (d) for the wind speed are set to 0.67 and 1.33, respectively,

For derivation of exponential basic information,

For the wind speed less than 5 m / s, it is set to 3, for the wind speed not less than 10 m / s and not more than 10 m / s, for the wind speed not more than 14 m / s,

(D) for the significant wave height is set to 4 for 0.3 m or less, 3 for 0.3 m to 1.0 m, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m,

Can be configured to derive the harbor (marina) ship operation index by = {application value (a) X weight (a) + applied value (b) X weight (b)} / 2.

The present invention having the above-described configuration can significantly improve the safety of the ship by predicting and predicting the ship operation index enabling the safety of the ship to be judged with respect to the sea including the ship's navigation route, It provides the effect of significantly reducing ship accidents.

1 is a configuration diagram of a computer 1 on which a ship operation index predicting apparatus 100 according to an embodiment of the present invention is mounted.
2 is a detailed functional block diagram of the ship operation index predicting apparatus 100 for providing the ship operation index of FIG.
FIG. 3 is a flowchart showing a process of a method of predicting a ship operation index; FIG.
Fig. 4 is a view showing an example of a sea area classified into a wide area and dividing a sea area in the central part of the west sea into grid points. Fig.
FIG. 5 is a view showing an example of a sea area classified by a port, and dividing a sea area of a port of Busan into grid points. FIG.
6 shows the determination of the relative orientation of the route reference to the predicted results of wind and algae;

In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The embodiments according to the concept of the present invention can make various changes and have various forms, so that specific embodiments are illustrated in the drawings and described in detail in this specification or the application. It is to be understood, however, that the intention is not to limit the embodiments according to the concepts of the invention to the specific forms of disclosure, and that the invention includes all modifications, equivalents and alternatives falling within the spirit and scope of the invention.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between. Other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises ", or" having ", or the like, specify that there is a stated feature, number, step, operation, , Steps, operations, components, parts, or combinations thereof, as a matter of principle.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings showing embodiments of the present invention.

1 is a configuration diagram of a computer 1 equipped with a ship operation index predicting apparatus 100 according to an embodiment of the present invention.

1, the computer 1 includes a control unit 10 as a central processing unit, an operation program and a control unit 10 for operating a ship as a program installed to perform the ship operation index prediction of the present invention An exponent forecasting apparatus 100 and a storage unit 20 for storing data, an input unit 30 configured to input data and a user control command, and a display unit 40 displaying an internal operation process, do. And a communication unit 50 for performing communication with the outside when communication with the outside is required.

FIG. 2 is a detailed functional block diagram of the ship operation index predicting apparatus 100 of FIG.

2, the ship operation index predicting apparatus 100 includes a numerical algae chart 111, a ship operation index such as a sea chart 113, a tide table 115, and a chart 117 having information such as a ship operation path, A marine survey data base 110 for storing marine survey data including basic data for derivation and an ocean observation data collection unit for collecting current marine observation information as an initial value for deriving the marine operation index 130), an exponential basic information predicting unit (140) for predicting exponential basic information for deriving the ship operational index at the position of each grid point in a marine area divided into grid networks using ocean observation information, The data including the flow velocity, direction, wind direction, wind direction, significant wave, current or tide of the forecasted area ocean is extracted from the numerical tidal current and the sea current of the DB 110 and outputted to the index basic information prediction unit 140, The extraction unit 150 and And a ship operation index deriving unit 160 for deriving the ship operation index using the weight of the index basic information and the index basic information predicted by the index basic information predicting unit 140. [

The numerical algae, sea current, sea chart and tide table information stored in the ocean survey data DB 110 include basic data for predicting exponential information such as the flow rate, direction, wind direction, wind velocity, significant wave, current or tide of the ocean do. In Korea, the numerical tidal current, ocean current, and tide chart may be the numerical tide of the National Oceanographic Research Institute, ocean currents in the East Sea, and tidal chart information of the domestic ocean. And sea charts include ocean map information including ship's route information and the like.

The index basic information includes significant digits, intensities, flow rates, wind directions, and wind speed information as data for deriving the ship operation index.

The current ocean observation information collected by the ocean observation information collection unit 130 is data for predicting the exponential basic information for deriving the ship operation index. The presently observed tide, sea water flow (ocean current, bird), water temperature, It includes observation information of the national marine observation network including wind velocity, wind direction and air pressure, and weather information of the meteorological station including weather, temperature, insolation, wind speed, and wind direction.

The exponential basic information predicting unit 140 uses the ocean observation information collected in the ocean observation information collecting unit 130 and the sea water numerical prediction model ROMS, the weather prediction model WRF, and the wave prediction model 145 And the index basic information for deriving the ship operation index predicted by the predetermined time is predicted and generated by a predetermined time.

To this end, the exponential-based information predicting unit 140 applies the ocean observational information to the ROMS at the positions of the respective lattice points obtained by dividing the area for predicting the operational index of the ship, A weather prediction unit 143 for predicting the wind direction and wind speed after a predetermined time point by applying the ocean observation information to the weather prediction model WRF, and a weather forecasting unit 143 for applying the ocean observation information to the wave prediction model WW3), and predicts a significant wave after a predetermined point in time.

The ship operation index deriving unit 160 is configured to derive the ship operation index using the weight of the index basic information and the index basic information predicted by the index basic information predicting unit 140. [ Specifically, the ship operation index derivation unit 160 divides each marine area divided into a wide area and a harbor (marina) area into lattice points having a predetermined separation distance, and then, at each lattice point, And port operation index.

The wide-area ship operation index is calculated by multiplying the wide area set for calculation of the ship operation index from the basic information of the exponent predicted from the grid points having the predetermined distance to the lateral direction air velocity acting on the ship in the transverse direction, (A) + Applied value (B) X Weight (B) + Applied value (C) X Weight (C) + Applied value (D) ) X weight (D)} / 4.

The weights for deriving the broadband operation index are 0.96 for the lateral wind speed, 0.83 for the lateral bird, 0.83 for the lateral bird (C ) Is 0.29, and the weight (D) for the significant wave height is set to 1.92.

The applied value (A) for the lateral wind speed among the above values for deriving exponential basic information is 4, 7m / s to 10m / s and 10m / s to 14m / s is less than 0.10 m / s and less than 0.26 m / s is less than 3, 0.26 m / s. s is greater than 0.77 m / s, and more than 0.77 m / s is greater than 1. In case of less than 0.77 m / s, the applied value (C) s or less is set to 3, for 1.12 m / s or more to 1.54 m / s or less for 2 and for 1.54 m / s or more to 1, and for application of significant wave height (D) 3 for 1.0 m or less, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m or more.

The port operation index derives the wind speed and the significant wave height from the exponential basic information predicted from the lattice points having predetermined distances from the port area set for calculating the ship operation index, ) + Applied value (b) X weight (b)} / 2.

Here, the weight (a) for the wind speed is set to 0.67 and the weight (d) for the significant wave height is set to 1.33, depending on the influence on the ship operation.

The applied value (a) for wind speed for deriving exponential information is 3, below 10m / s for over 5m / s and below 14m / s for below 14m / s. The above is set to 1.

The application value (d) for significant wave height is set to 4 for 0.3 m or less, 3 for 0.3 m to 1.0 m, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m.

3 is a flowchart showing a process of the ship operation index forecasting method of the present invention.

3, the ship operation index predicting method of the present invention includes the steps of collecting ocean observation information (S100), index basic information predicting process (S200), wide-port classification process (S300) (S400) including a procedure (S420) of deriving the marine vessel operating index to derive the marine vessel operating index for the port (Marina) and the port (marina).

In order to derive the ship operation index, an ocean observation information collection process (S100) for collecting ocean observation information as an initial value for predicting exponential basic information after a predetermined time by the ocean observation information collection unit 130 is performed .

Then, the exponent basic information prediction unit 140 performs an exponential basic information prediction process S200 for predicting exponential basic information after a predetermined time using the collected ocean observation information and exponential basic information prediction models.

In the exponent-based information predicting process (S200), the ocean observation information collected in the ocean observation information collecting unit 130 and the sea water numerical value prediction model (ROMS), the weather prediction model (WRF) The index basic information for deriving the ship operation index, which is predicted by the set time, is predicted for the grid points to be predicted at predetermined time intervals. At this time, for the grid points to be predicted after the predetermined time, the seawater numerical value predicting unit 141 predicts the direction and flow velocity by applying the ocean observation information to the seawater numerical prediction model (ROMS) (WRF) to predict the wind direction and the wind speed, and the wave predictor 145 applies the above-described ocean observation information to the wave prediction model (WW3) .

Next, the ship operation index derivation unit 160 performs a wide-port classification process (S300) for distinguishing whether the forecasted sea area is a wide-area or a port.

An example of such a wide area is the classification of the waters around Korea into seven broad waters (the West Sea Central / South, the South Sea East / West, the East Sea Central / South, and the Jeju Sea). Examples of ports (marinas) include Incheon port, Busan port (harbor), Wonsan, Jeokok, and Swimming (marina).

 Fig. 4 is a view showing a sea area divided into lattice points as an example of a wide-area sea area, and Fig. 5 is an example of a sea area classified as a port, .

Next, after the classification area for the ship operation index is classified by the wide-port classification process (S300), the navigation operation index derivation unit 160 derives the wide-area ship operation index for the wide area (S410) and a derivation procedure (S400) for deriving the marine vessel operation index (S420) for deriving the marine vessel operation index for the marine vessel (S410).

At this time, the wide-area ship operation index and the port-ship operation index (detailed index) are calculated based on the route in the relevant area. Specifically, the vessel operating index uses the results of the real-time ocean prediction model. Since the spatial position at which the index is calculated depends on the minimum grid spacing of the ocean prediction model, the minimum grid interval of the ocean prediction model is 3 km, I divided it. In order to determine the direction of consideration of wind and algae among the major factors of the marine environment, the relative direction of the route reference to wind and algae prediction results was determined by calculating the slope using the position information of two adjacent vertices on the route.

6 is a diagram showing the determination of the relative direction of the route reference to the predicted results of wind and algae.

As described above, after determining the relative direction of the route reference to the predicted result of the wind and the algae, a representative index is calculated for the wide area ship operation index, and the detailed indexes for the harbor and the marina are calculated The representative index is calculated for the waters near the marina.

(S410) and step S420 of deriving the port operation index (S420) are the same as the process of deriving the port operation index and port operation index derivation by the port operation index deriving unit 160 described above.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be apparent to those skilled in the art that various modifications may be made without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

1: Computer
100: Ship operation index forecasting device

Claims (10)

A marine survey database (110) storing marine survey data including numerical algae, ocean currents and tidal charts;
An ocean observation information collection unit 130 for collecting current ocean observation information as an initial value for predicting exponential basic information after a predetermined time for deriving the ship operation index;
Using the ocean observation information and the exponential information prediction models collected by the ocean observational information collection unit 130, significant digits, intention, flow velocity, wind direction and wind velocity information are calculated for each predetermined point in order to derive the ship operation index after a predetermined time An exponential basic information predicting unit (140) for predicting exponential basic information which includes the exponential basic information;
A marine survey data extracting unit 150 for extracting marine survey data of the predicted location from the marine survey data DB 110 and outputting the data to the index basic information predicting unit 140; And
(Marine), and using the index basic information predicted by the index basic information predicting unit 140 and the weight for the index basic information, And a ship operation index deriving unit 160 for outputting the ship operation index to the ship operation index for the index and the harbor (marina)
The ship operation index deriving unit 160,
After dividing the wide area set for calculation of the ship operation index into grid points having predetermined distance, the lateral wind velocity and the lateral directional force acting in the transverse direction with respect to the ship's course from the basic index information predicted at each grid point And long - term algae,
The weight (A) for the lateral wind speed was 0.96, the weight for the lateral bird (B) was 0.83, the weight for the longitudinal bird (C) was 0.29 and the weight for the significant wave ) Is set to 1.92,
For derivation of exponential basic information,
3, for 10 m / s to 14 m / s, 2 for 14 m / s or more and 1 for 14 m / s or less if the applicable value (A) for the transverse wind speed is less than 7 m / s. and,
4 for below 0.10 m / s, 3 for below 0.10 m / s to 0.26 m / s, 2 for 0.77 m / s above 0.77 m / s, s is set to 1,
4 for below 0.77 m / s for longitudinal algae, 3 for below 0.77 m / s to 1.12 m / s, 2 for 1.54 m / s above 1.54 m / s is set to 1,
(D) for significant wave height is set to 4 for 0.5 m or less, 3 for 0.5 m to 1.0 m, 2 for 1.0 m to 2.0 m and 1 for 2.0 m,
(A) + applied value (B) X weight (B) + applied value (C) X weight (C) + applied value (D) X weighted value (D) } / 4. ≪ / RTI >
The method according to claim 1, wherein the current ocean observation information comprises:
Including the observations of the National Oceanographic Observation Network including the tide, the tide, the sea currents (ocean currents, algae), water temperatures, wind speeds, wind directions and atmospheric pressure and observations from the meteorological stations including weather, temperature, Device.
The system according to claim 1,
Ship operating index forecasting device including significant digging, direction, flow velocity, wind direction and wind velocity information.
The system according to claim 1,
For predetermined positions in the sea,
A seawater numerical value prediction unit 141 for applying the ocean observation information to a seawater numerical value prediction model (ROMS) to predict a direction and a flow velocity of the seawater after a predetermined time point;
A weather prediction unit 143 for applying the ocean observation information to the weather prediction model WRF to predict a wind direction and a wind speed after a predetermined time point; And
And a wave predictor 145 for applying the ocean observation information to the wave prediction model WW3 to predict a significant wave height after a predetermined time point.
delete A marine survey database (110) storing marine survey data including numerical algae, ocean currents and tidal charts;
An ocean observation information collection unit 130 for collecting current ocean observation information as an initial value for predicting exponential basic information after a predetermined time for deriving the ship operation index;
Using the ocean observation information and the exponential information prediction models collected by the ocean observational information collection unit 130, significant digits, intention, flow velocity, wind direction and wind velocity information are calculated for each predetermined point in order to derive the ship operation index after a predetermined time An exponential basic information predicting unit (140) for predicting exponential basic information which includes the exponential basic information;
A marine survey data extracting unit 150 for extracting marine survey data of the predicted location from the marine survey data DB 110 and outputting the data to the index basic information predicting unit 140; And
(Marine), and using the index basic information predicted by the index basic information predicting unit 140 and the weight for the index basic information, And a ship operation index deriving unit 160 for outputting the ship operation index to the ship operation index for the index and the harbor (marina)
The ship operation index deriving unit 160,
After dividing the port area set for the calculation of the ship operation index into grid points having a predetermined separation distance, the wind speed and the significant wave height are derived from the predicted index basic information at each grid point,
The weight (a) and the weight (d) for the wind speed are set to 0.67 and 1.33, respectively,
For derivation of exponential basic information,
For the wind speed less than 5 m / s, it is set to 3, for the wind speed not less than 10 m / s and not more than 10 m / s, for the wind speed not more than 14 m / s,
(D) for the significant wave height is set to 4 for 0.3 m or less, 3 for 0.3 m to 1.0 m, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m,
A ship operating index predicting device configured to derive the harbor (marina) ship operating index by = {application value (a) X weight (a) + applied value (b) X weight (b)} / 2.
An ocean observation information collection step (S100) for collecting ocean observation information as an initial value for predicting exponential basic information after a predetermined time by the ocean observation information collection unit (130);
Using the ocean observation information and the exponential information prediction models collected by the ocean observational information collection unit 130, significant digits, intention, flow velocity, wind direction and wind velocity information are calculated for each predetermined point in order to derive the ship operation index after a predetermined time An exponential basic information predicting process (S200) for predicting exponential basic information that includes;
A wide-port classification process (S300) for classifying whether a ship operation index derivation area is a wide area or a harbor (marina); And
(S410) for deriving a wide-area ship operation index for a wide area by the ship operation index deriving unit 160 after being classified by the wide-port sorting process (S300) and for the harbor (Marina) (S400), including the step of deriving the marine vessel operating index (S420) that derives the marine vessel operating index (S400).
8. The method of claim 7, wherein the exponent information predicting step (S200)
The seawater numerical value predicting unit 141 predicts the introductory and flow rates of the seawater after a predetermined time point by applying the ocean observation information to the seawater numerical prediction model (ROMS)
The weather prediction unit 143 predicts the wind direction and the wind speed after a predetermined time by applying the ocean observation information to the weather prediction model WRF,
Wherein the wave predictor 145 predicts the significant wave height after a predetermined time by applying the ocean observation information to the wave prediction model WW3.
The method of claim 7,
The wide area ship operation index derivation process (S410) The ship operation index deriving unit 160,
After dividing the wide area set for calculation of the ship operation index into grid points having predetermined distance, the lateral wind velocity and the lateral directional force acting in the transverse direction with respect to the ship's course from the basic index information predicted at each grid point And long - term algae,
The weight (A) for the lateral wind speed was 0.96, the weight for the lateral bird (B) was 0.83, the weight for the longitudinal bird (C) was 0.29 and the weight for the significant wave ) Is set to 1.92,
For derivation of exponential basic information,
3, for 10 m / s to 14 m / s, 2 for 14 m / s or more and 1 for 14 m / s or less if the applicable value (A) for the transverse wind speed is less than 7 m / s. and,
4 for below 0.10 m / s, 3 for below 0.10 m / s to 0.26 m / s, 2 for 0.77 m / s above 0.77 m / s, s is set to 1,
4 for below 0.77 m / s for longitudinal algae, 3 for below 0.77 m / s to 1.12 m / s, 2 for 1.54 m / s above 1.54 m / s is set to 1,
(D) for significant wave height is set to 4 for 0.5 m or less, 3 for 0.5 m to 1.0 m, 2 for 1.0 m to 2.0 m and 1 for 2.0 m,
(A) + applied value (B) X weight (B) + applied value (C) X weight (C) + applied value (D) X weighted value (D) } / 4. ≪ / RTI >
The method of claim 7,
The procedure for deriving the port operation index (S420) is as follows. The ship operation index deriving unit 160,
After dividing the port area set for the calculation of the ship operation index into grid points having a predetermined separation distance, the wind speed and the significant wave height are derived from the predicted index basic information at each grid point,
The weight (a) and the weight (d) for the wind speed are set to 0.67 and 1.33, respectively,
For derivation of exponential basic information,
For the wind speed less than 5 m / s, it is set to 3, for the wind speed not less than 10 m / s and not more than 10 m / s, for the wind speed not more than 14 m / s,
(D) for the significant wave height is set to 4 for 0.3 m or less, 3 for 0.3 m to 1.0 m, 2 for 1.0 m to 2.0 m, and 1 for 2.0 m,
A method for predicting a ship operating index to derive a port (marina) ship operation index by = {application value (a) X weight (a) + applied value (b) X weight (b)} / 2.

Images