CN115577868A - Method and device for predicting destination port of in-transit ship, readable storage medium and ship - Google Patents
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Abstract
The invention provides a method and a device for predicting a destination port of an in-transit ship, a readable storage medium and a ship, and relates to the technical field of ships. The destination port prediction method of the ship in the way comprises the following steps: acquiring historical voyage data of a ship; constructing a geographic grid model based on historical voyage data; acquiring a specific grid position of an in-transit ship in a geographic grid model; and predicting the destination port of the ship in the way based on the specific grid position. According to the method for predicting the destination port of the on-road ship provided by the invention, the destination port of the on-road ship is determined by establishing the geographic grid model, so that the problems that the destination port information in the ship AIS running on the sea is incorrect due to human factors and the like, the specific destination port of the on-road ship cannot be known, the destination port of goods sent from the origin of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform can be avoided.
Description
Technical Field
The invention relates to the technical field of ships, in particular to a method and a device for predicting a destination port of a ship in transit, a readable storage medium and a ship.
Background
At present, due to human factors and the like, destination port information in the marine vessel AIS is incorrect, and the specific destination port of the marine vessel on the way cannot be known, so that the destination of goods sent from the original place of each ticket on the sea cannot be known, and the trade data is difficult to be calculated.
Therefore, how to provide a destination port prediction method for a ship on the way, which can predict the destination port of the ship on the way, is a problem to be solved at present.
Disclosure of Invention
The present invention is directed to at least solving the problem of the prior art or related art that the port of purpose of an in-transit ship cannot be predicted.
It is therefore a first object of the present invention to provide a method for port of destination prediction for an in-transit ship.
A second object of the present invention is to provide a destination port prediction device for an on-road ship.
A third object of the present invention is to provide a destination port prediction device for an on-road ship.
It is a fourth object of the invention to provide a readable storage medium.
A fifth object of the invention is to provide a ship.
The technical scheme of the first aspect of the invention provides a destination port prediction method of an in-transit ship, which comprises the following steps: acquiring historical voyage data of a ship; constructing a geographic grid model based on historical voyage data; acquiring a specific grid position of an in-transit ship in a geographic grid model; and predicting the destination port of the ship in the way based on the specific grid position.
According to the destination port prediction method of the on-road ship, provided by the invention, the geographic grid model is constructed according to the historical voyage data of the ship, the whole route planning is completed through the grid and the destination port of the route of the grid in advance, and the route planning is stored in the database, so that the destination port of the on-road ship can be predicted according to the specific position of the on-road ship in the geographic grid model. The reason that the destination port of the ship on the way can be determined according to the geographic grid model is that the geographic grid model contains data such as global historical voyage times and the like, such as route information and the like, so that a destination can be given by judging which routes are in the grid where the ship on the way is located, based on the condition that ships of the same type and ships of the same size are the same in the grid and the initial direction of the ship on the way, and then the destination port of the ship on the way can be predicted according to which routes are available in the next destination port of the route. The number of routes stored in each grid is small, billions of levels of data compression can be achieved in a short time through position lifting, massive AIS data can be replaced by the aid of the compression method through the small number of positions, namely key point information in the grids, and accordingly the purpose port can be judged more quickly and accurately. The method has the advantages that the destination port of the ship on the way is determined by establishing the geographic grid model, the problems that the destination port information in an AIS (Automatic Identification System) of the ship running on the sea is incorrect, the specific destination port of the ship on the way cannot be known due to human factors and the like, the destination port of the ship cannot be known, the destination port of goods sent from an original place of each ticket on the sea cannot be known, trade data checking is difficult to perform and the like can be solved, the destination of the ship is extracted, and the method is greatly helpful for knowing the future port supply end data.
Further, the geographic grid model may be divided according to the longitude and latitude, for example, the longitude and latitude of a grid are divided by 0.2 degrees, that is, the grid is divided into 0.2 degrees × 0.2 degrees grids, which is equivalent to the grid size of 12 nautical miles × 12 nautical miles, and the length and width of a grid is 0.2 degrees (about 12 nautical miles), respectively, so that the destination port can be predicted more accurately, wherein 12 nautical miles are about 1 hour of the ship sailing in the ocean.
Further, the method for predicting the destination port of the ship in transit based on the specific grid position specifically comprises the following steps: judging whether the destination port of the AIS of the ship on the way is a recognizable port name or not based on the specific grid position; and determining the destination port of the ship in the way according to the identification result.
In the technical scheme, when the ship enters each grid, whether the destination port of the AIS of the ship in transit is the recognizable port name or not can be judged, so that the destination port of the ship in transit is determined according to the recognition result. Specifically, since the geographic grid model includes data such as global historical voyage times and the like, and each grid includes specific data information such as route information and the like, it is possible to predict the destination port of the ship on the way by determining whether the destination port of the AIS of the ship on the way is identifiable, comparing the identification result with the origin port, or acquiring information of the next destination port from the grid according to the identification result.
Further, the method for determining the destination port of the ship in transit according to the identification result specifically comprises the following steps: in the case where the destination port of the AIS is an unidentifiable port name, the destination port of the on-road vessel is determined based on the specific grid location of the on-road vessel, the vessel type of the on-road vessel, the ship type size of the on-road vessel, and the origin port of the on-road vessel.
In the technical scheme, after a ship enters a grid, if the AIS destination port is judged to be an unidentifiable port name, the destination port of the ship on the way is determined based on information such as the specific grid position of the ship on the way, the ship type size of the ship on the way, the origin port of the ship on the way and the like, and then the prediction of the ship destination port is realized. The AIS destination is an unidentifiable port name, and the AIS destination is the same as the origin port, and the destination of the ship needs to be determined based on information such as the specific grid location of the ship in transit, the ship type of the ship in transit, and the origin port of the ship in transit.
In addition, the destination port prediction method of the on-the-road ship provided by the application can also have the following additional technical characteristics:
in the above technical solution, determining the destination port of the ship in transit according to the recognition result specifically includes: judging whether the destination port of the AIS is the same as the starting port of the in-transit ship or not under the condition that the destination port of the AIS is a recognizable port name; in the case where the AIS has a different destination port than the origination port, the destination port of the AIS is determined as the destination port of the on-the-road ship.
In the technical scheme, when a ship enters a grid, under the condition that the destination port of the AIS is judged to be a recognizable port name, whether the destination port of the AIS is the same as the starting port of the ship in transit is judged, and under the condition that the destination port of the AIS is different from the starting port, the destination port of the AIS is determined to be the destination port of the ship in transit, so that the problem that the ship sails back to the starting port due to the fact that the starting port is determined to be the destination port by the ship in transit can be avoided.
In the above technical solution, determining the destination port of the on-the-road ship based on the specific grid position of the on-the-road ship, the ship type of the on-the-road ship, and the origin port of the on-the-road ship specifically includes: verifying the ship type of the ship in transit, the ship size of the ship in transit and data stored at the originating port and the specific grid position of the ship in transit to determine at least one destination port; judging the number of the determined destination ports, and under the condition that the number of the destination ports is multiple, judging the included angles of the connecting lines of the bow direction of the ship in the process and the multiple destination ports; and determining the destination port based on the size of the included angle.
According to the technical scheme, when the destination port of the on-road ship is determined based on information such as the specific grid position of the on-road ship, the ship type size of the on-road ship, the starting port of the on-road ship and the like, whether the on-road ship type, the on-road ship size and the starting port are the same as data stored in the grid or not can be judged, so that a plurality of destination ports can be obtained in each grid for selection, at the moment, the included angles between the ship bow direction of the on-road ship and the connecting lines of the plurality of destination ports can be judged, and then the port with the smallest included angle is selected as the destination port to be assigned.
In the above technical solution, the historical voyage data of the ship includes: the system comprises the data of an original port, destination port, ship load ton, ship departure time, ship arrival time, AIS track data of a ship, ship type data and ship type size data.
In the technical scheme, the historical voyage data of the ship comprises the following steps: the system comprises the data of an original port, destination port, ship load ton, ship departure time, ship arrival time, AIS track data of a ship, ship type data and ship type size data. The AIS track data of the ship comprises real-time ship position data, ship bow direction data and the like. The geographic grid model is constructed through the data, so that the destination port of the ship in the way can be more accurately determined, and the destination can be more accurately predicted. The data comprise historical data and current data, so that the constructed geographic grid model is more accurate and complete.
In the above technical solution, the constructing of the geographic grid model based on the historical voyage data specifically includes: acquiring AIS track data of a ship in historical voyage data, and performing rarefaction on the AIS track data by using a Douglas-Pock algorithm; based on the AIS track data after rarefaction, checking the AIS static information data to realize the cleaning of invalid data and form the AIS static information of the air route; and constructing a geographic grid model based on AIS (automatic identification System) static information of the routes.
In the technical scheme, specifically, the AIS track data of the ship in the historical voyage data can be acquired, the Douglas-Pock algorithm is used for rarefying the AIS track data, the AIS static information data is verified based on the rarefied AIS track data, so that the invalid data is cleaned, the AIS static information of the air route is formed, and the geographical grid model is constructed based on the AIS static information of the air route. It can be understood that, because the AIS track data of the ship in the historical voyage data is relatively cluttered, some data are not needed, so AIS static information needed by us needs to be filtered out to construct a relatively accurate geographic grid model.
The technical scheme of the second aspect of the invention provides a destination port prediction device of an in-transit ship, which comprises the following steps: the first acquisition module is used for acquiring historical voyage data of a ship; the construction module is used for constructing a geographic grid model based on historical voyage data; the second acquisition module is used for acquiring the specific grid position of the on-the-way ship in the geographic grid model; the prediction module is specifically used for judging whether the destination port of the AIS of the on-road ship is a recognizable port name or not based on the specific grid position, determining the destination port of the on-road ship according to the recognition result, and determining the destination port of the on-road ship based on the specific grid position of the on-road ship, the ship type size of the on-road ship and the origin port of the on-road ship under the condition that the destination port of the AIS is an unrecognizable port name; the prediction module is further specifically configured to verify the ship type of the ship on the way, the ship type size of the ship on the way, and data stored at the originating port and the specific grid position of the ship on the way, so as to determine at least one destination port, determine the number of the determined destination ports, determine an included angle between a ship bow direction of the ship on the way and a plurality of destination ports when the number of the destination ports is multiple, and determine the destination port based on the included angle.
The destination port prediction device of the on-the-road ship comprises a first acquisition module, a construction module, a second acquisition module and a prediction module. The first acquisition module can acquire historical voyage data of a ship. The construction module is capable of constructing a geographic grid model based on historical voyage data. The second acquisition module is capable of acquiring a specific grid location of the in-transit vessel in the geographic grid model. The prediction module can predict the destination port of the ship in transit based on the specific grid location. The destination port prediction device of the on-road ship determines the destination port of the on-road ship by establishing the geographic grid model, and can avoid the problems that destination port information in the ship AIS which runs on the sea is incorrect due to human factors and the like, the specific destination port of the on-road ship cannot be known, the destination port of goods which are sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform.
The technical scheme of the third aspect of the invention provides a destination port prediction device of a ship in transit, which comprises the following components: a memory and a processor, wherein the memory stores a program or instructions, and the program or instructions, when executed by the processor, implement the steps of the port of destination prediction method for a ship in transit according to any one of the aspects of the first aspect.
The device for predicting the port of destination of the on-road ship provided by the invention comprises a memory and a processor, wherein the memory stores programs or instructions, and the programs or instructions are executed by the processor to realize the steps of the method for predicting the port of destination of the on-road ship in any technical scheme of the first aspect. The port of destination prediction device for a ship in transit can implement the steps of the port of destination prediction method for a ship in transit according to any one of the technical solutions of the first aspect. Therefore, the destination port prediction device for the on-the-road ship provided by the invention also has all the beneficial effects of the destination port prediction method for the on-the-road ship in any technical scheme of the first aspect, and is not repeated herein.
An aspect of a fourth aspect of the present invention provides a readable storage medium having a program or instructions stored thereon, which when executed, implement the steps of the port of destination prediction method for a ship in transit as in any one of the aspects of the first aspect.
According to the present invention, there is provided a readable storage medium having a program or instructions stored thereon, which when executed, implement the steps of the method for predicting the port of destination of a ship in transit as in any one of the aspects of the first aspect. The readable storage medium can realize the steps of the method for predicting the port of destination of the ship in transit according to any one of the technical solutions of the first aspect. Therefore, the readable storage medium provided by the invention also has all the beneficial effects of the destination port prediction method of the ship in transit in any technical scheme of the first aspect, and details are not repeated herein.
An aspect of a fifth aspect of the present invention provides a ship for implementing the steps of the port of destination prediction method of an in-transit ship as in any one of the aspects of the first aspect.
According to the ship provided by the invention, the steps of the method for predicting the port of destination of the ship in transit in any technical scheme of the first aspect can be realized. The ship is a step for realizing the destination port prediction method of the ship in transit according to any one of the technical solutions of the first aspect. Therefore, the ship provided by the invention also has all the beneficial effects of the steps of the destination port prediction method of the ship in transit in any technical scheme of the first aspect, and the steps are not repeated herein.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic flow diagram of a method for port of destination forecasting of an in-transit vessel according to a first embodiment of the present invention;
FIG. 2 is a schematic flow diagram of a method for port of destination prediction of a vessel in transit in accordance with a second embodiment of the invention;
FIG. 3 is a schematic flow diagram of a destination port prediction method for an in-transit vessel according to a third embodiment of the invention;
FIG. 4 is a schematic flow diagram of a destination port prediction method for an in-transit vessel according to a fourth embodiment of the invention;
FIG. 5 is a block schematic diagram of a destination port prediction device of an in-transit vessel in accordance with one embodiment of the present invention;
fig. 6 is a block schematic diagram of a destination port prediction device of an in-transit vessel according to another embodiment of the invention.
Wherein, the correspondence between the reference numbers and the part names in fig. 5 and fig. 6 is:
1 a port of destination forecasting device for the vessel in transit, 12 a first acquisition module, 14 a construction module, 16 a second acquisition module, 18 a forecasting module, 2 a port of destination forecasting device for the vessel in transit, 22 a memory, 24 a processor.
Detailed Description
In one embodiment according to the present application, as shown in fig. 1, there is provided a method for destination port prediction of a ship in transit, comprising:
and S102, acquiring historical voyage data of the ship.
And S104, constructing a geographic grid model based on the historical voyage data.
And S106, acquiring the specific grid position of the on-the-way ship in the geographic grid model.
And S108, predicting the destination port of the ship in transit based on the specific grid position.
According to the destination port prediction method of the on-road ship, provided by the invention, the geographic grid model is constructed according to the historical voyage data of the ship, so that the destination port of the on-road ship can be predicted according to the specific position of the on-road ship in the geographic grid model. The reason that the destination port of the ship on the way can be determined according to the geographic grid model is that the geographic grid model contains data such as global historical voyage times and the like, such as air route information and the like, so that the destination port of the ship on the way can be predicted by judging which air routes are in the grid where the ship on the way is located, and which air routes the ship on the way approaches, and then according to which next destination port of the air routes is located. The grids are divided into smaller grids, so that the number of routes stored in each grid is smaller, and the destination port can be judged more quickly and accurately. The destination port of the on-road ship is determined by establishing a geographic grid model, so that the problems that the destination port information in the AIS (Automatic Identification System) of the ship running on the sea is incorrect, the specific destination port of the on-road ship cannot be known, the destination port of the cargo sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform due to human factors and the like can be avoided.
Further, the geographic grid model may be divided according to the longitude and latitude, for example, the longitude and latitude of a grid are divided by 0.2 degrees, that is, the length and width of a grid are 0.2 degrees (about 12 nautical miles), respectively, so that the destination port can be predicted more accurately.
In a second embodiment according to the present application, as shown in fig. 2, there is provided a method for predicting a port of destination of an in-transit ship, comprising:
s202, obtaining historical voyage data of the ship.
And S204, constructing a geographic grid model based on the historical voyage data.
S206, acquiring the specific grid position of the on-road ship in the geographic grid model.
And S208, judging whether the destination port of the AIS of the ship in transit is a recognizable port name or not based on the specific grid position.
And S210, determining the destination port of the ship in the way according to the identification result.
According to the destination port prediction method of the on-road ship, provided by the invention, the geographical grid models are built according to the historical voyage data of the ship, when the ship enters the grids of each geographical grid model, whether the destination port of the AIS of the on-road ship is a recognizable port name or not is judged, and therefore the destination port of the on-road ship is determined according to the recognition result. The reason that the destination port of the on-road ship can be determined according to the geographic grid model is that the geographic grid model contains data such as global historical voyage times and the like, such as route information and the like, so that the destination port of the on-road ship can be predicted by judging which routes are in the grid where the on-road ship is located and which route the on-road ship approaches, and then according to which of the next destination ports of the routes the on-road ship has. The grids are divided into smaller grids, so that the number of routes stored in each grid is smaller, and the destination port can be judged more quickly and accurately. The destination port of the ship on the way is determined by establishing the geographic grid model, so that the problems that the destination port information in the AIS of the ship running on the sea is incorrect due to human factors and the like, the specific destination port of the ship on the way cannot be known, the destination port of goods sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform can be avoided.
In a third embodiment according to the present application, as shown in fig. 3, there is provided a method for predicting a port of destination of an in-transit ship, comprising:
s302, obtaining historical voyage data of the ship.
S304, constructing a geographic grid model based on the historical voyage data.
S306, acquiring the specific grid position of the on-the-way ship in the geographic grid model.
And S308, judging whether the destination port of the AIS of the ship on the way is a recognizable port name or not based on the specific grid position.
S310, in case the destination port of the AIS is an unidentifiable port name, the destination port of the on-road ship is determined based on the specific grid location of the on-road ship, the ship type size of the on-road ship, and the origin port of the on-road ship.
According to the method for predicting the destination port of the on-road ship, provided by the invention, the geographic grid model is constructed according to the historical voyage data of the ship, and after the ship enters a grid, if the AIS destination port is judged to be an unidentifiable port name, the destination port of the on-road ship is determined based on the information such as the specific grid position of the on-road ship, the ship type size of the on-road ship, the origin port of the on-road ship and the like, so that the prediction of the destination port of the ship is realized. The reason that the destination port of the on-road ship can be determined according to the geographic grid model is that the geographic grid model contains data such as global historical voyage times and the like, such as route information and the like, so that the destination port of the on-road ship can be predicted by judging which routes are in the grid where the on-road ship is located and which route the on-road ship approaches, and then according to which of the next destination ports of the routes the on-road ship has. The grids are divided into smaller grids, so that the number of routes stored in each grid is smaller, and the destination port can be judged more quickly and accurately. The destination port of the ship on the way is determined by establishing the geographic grid model, so that the problems that the destination port information in the AIS of the ship running on the sea is incorrect due to human factors and the like, the specific destination port of the ship on the way cannot be known, the destination port of goods sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform can be avoided.
The AIS destination is an unidentifiable port name, and the AIS destination is the same as the origin port, and the destination of the ship needs to be determined based on information such as the specific grid location of the ship in transit, the ship type of the ship in transit, and the origin port of the ship in transit.
Further, when the destination port of the ship on the way is determined based on information such as the specific grid position of the ship on the way, the ship type size of the ship on the way, the originating port of the ship on the way and the like, whether the ship type on the way, the ship type size of the ship on the way and the originating port are the same as data stored in the grid or not is judged, so that a plurality of destination ports can be obtained in each grid for selection, at the moment, the included angles between the ship heading direction of the ship on the way and the plurality of destination ports are judged, and the port with the smallest included angle is selected as the destination port to be assigned.
In a fourth embodiment according to the present application, as shown in fig. 4, there is provided a destination port prediction method of an in-transit ship, including:
s402, acquiring historical voyage data of the ship, splitting and aggregating grid data with the length and width of 12 nautical miles respectively based on the historical voyage data of the ship, and storing initial port data, destination port data, ship load ton data, ship departure time data, ship arrival time data, AIS track data of the ship, ship type data and ship type size data in a grid data center.
S404, judging whether the destination port in the AIS of the ship is an identifiable port, if so, executing S406, and if not, executing S408.
S406, judging whether the destination port in the AIS is the same as the starting port, if so, executing S408, otherwise, executing S410.
And S408, carrying out ship destination assignment based on the ship type data, the ship departure time data, the ship arrival time data, the size of the ship type and the departure situation of the ship of the current ship.
And S410, assigning values by using the destination port in the AIS.
According to the destination port prediction method of the ship in transit, provided by the invention, historical voyage data of the ship is obtained, grid data with the aggregate length and width of 12 seas is split and aggregated based on the historical voyage data of the ship, whether a destination port in an AIS of the ship is an identifiable port is judged, whether the destination port in the AIS is the same as an originating port is judged, and then, based on the ship type data, the ship departure time data, the ship arrival time data, the size of the ship type and the departure port condition of the ship of the current ship, the ship destination is assigned or the destination in the AIS is assigned, so that the destination is determined. That is, after a ship enters a grid, if the AIS destination port is determined to be an unidentifiable port name, the destination port of the ship in transit is determined based on the current ship type data, ship departure time data, ship arrival time data, the size of the ship type and the departure port condition of the ship, and the prediction of the ship destination port is realized. When a ship enters a grid, under the condition that the AIS destination port is a recognizable port name, whether the AIS destination port is the same as the on-road ship's origin port is judged, and under the condition that the AIS destination port is different from the origin port, the AIS destination port is determined as the on-road ship's destination port, so that the problem that the on-road ship determines the origin port as the destination port and sails back to the origin port can be avoided. The grid data center stores origin port data, destination port data, ship load ton data, ship departure time data, ship arrival time data, AIS track data of ships, ship type data and ship type size data. The destination port of the ship on the way is determined by establishing the geographic grid model, so that the problems that the destination port information in the AIS of the ship running on the sea is incorrect due to human factors and the like, the specific destination port of the ship on the way cannot be known, the destination port of goods sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform can be avoided.
In any of the above embodiments, determining the destination port of the ship in transit according to the recognition result specifically includes: judging whether the destination port of the AIS is the same as the starting port of the in-transit ship or not under the condition that the destination port of the AIS is a recognizable port name; in the case where the destination port of the AIS is not the same as the origination port, the destination port of the AIS is determined as the destination port of the ship in transit.
In the embodiments, when the ship enters a grid, if the AIS is determined to have the recognizable port name as the destination port, the AIS is determined to have the same destination port as the ship in transit, and if the AIS is determined to have the same destination port as the ship in transit, the AIS is determined to have the destination port as the ship in transit, thereby avoiding the problem that the ship in transit makes a return journey to the ship in transit because the ship in transit determines the destination port as the destination port.
In any of the above embodiments, the historical voyage data for the ship comprises: the system comprises the data of an original port, destination port, ship load ton, ship departure time, ship arrival time, AIS track data of a ship, ship type data and ship type size data.
In these embodiments, the historical voyage data for the vessel includes: the system comprises the data of an original port, destination port, ship load ton, ship departure time, ship arrival time, AIS track data of a ship, ship type data and ship type size data. The geographic grid model is constructed through the data, so that the destination port of the ship in the way can be more accurately determined, and the destination can be more accurately predicted. The data comprise historical data and current data, so that the constructed geographic grid model is more accurate and complete.
In any of the above embodiments, constructing the geographic grid model based on the historical voyage data specifically includes: acquiring AIS track data of a ship in historical voyage data, and performing rarefaction on the AIS track data by using a Douglas-Pock algorithm; based on the sparse AIS track data, checking the AIS static information data to realize the cleaning of invalid data and form the AIS static information of the air route; and constructing a geographic grid model based on AIS (automatic identification System) static information of the routes.
In the embodiments, specifically, by acquiring the AIS trajectory data of the ship in the historical voyage data, the AIS trajectory data is rarefied by using a Douglas-Pock algorithm, and based on the rarefied AIS trajectory data, the AIS static information data is verified to clean invalid data, form AIS static information of the airline, and construct the geographic grid model based on the AIS static information of the airline. It can be understood that, because the AIS track data of the ship in the historical voyage data is relatively cluttered, some data are not needed, so AIS static information needed by us needs to be filtered out to construct a relatively accurate geographic grid model. The AIS range information, the AIS static information and the AIS dynamic information in different grids can be clustered, the AIS static information of the ship in each grid is finally obtained, and then input parameters are provided for subsequent judgment of a ship destination port.
As shown in fig. 5, an embodiment of a second aspect of the present invention provides a destination port prediction apparatus 1 for an in-transit ship, comprising: the first acquisition module 12 is used for acquiring historical voyage data of a ship; a construction module 14 for constructing a geographic grid model based on historical voyage data; a second obtaining module 16, configured to obtain a specific grid position of the in-transit ship in the geographic grid model; the prediction module 18 predicts the destination port of the ship in transit based on the specific grid location.
The destination port prediction device 1 of the ship in transit provided by the invention comprises a first acquisition module 12, a construction module 14, a second acquisition module 16 and a prediction module 18. The first acquisition module 12 is capable of acquiring historical voyage data for a ship. The construction module 14 is capable of constructing a geographic grid model based on historical voyage data. The second acquisition module 16 is capable of acquiring the specific grid location at which the vessel in transit is in the geographic grid model. The prediction module 18 is able to predict the destination port of the ship in transit based on the particular grid location. The destination port prediction device 1 for the ship on the way determines the destination port of the ship on the way by establishing a geographic grid model, and can avoid the problems that destination port information in the ship AIS which runs on the sea is incorrect due to human factors and the like, the specific destination port of the ship on the way cannot be known, the destination port of goods which are sent from the original place of each ticket on the sea cannot be known, and the trade data accounting is difficult to perform.
As shown in fig. 6, an embodiment of a third aspect of the present invention provides a destination port prediction apparatus 2 for an in-transit ship, including: a memory 22 and a processor 24, the memory 22 storing a program or instructions which, when executed by the processor 24, carry out the steps of the method of port of destination prediction of a vessel in transit as in any one of the embodiments of the first aspect.
The device 2 for predicting the port of destination of a ship in transit according to the present invention comprises a memory 22 and a processor 24, wherein the memory 22 stores a program or instructions, and the program or instructions, when executed by the processor 24, implement the steps of the method for predicting the port of destination of a ship in transit as in any of the embodiments of the first aspect. The port of destination prediction device 2 of the ship in transit can implement the steps of the port of destination prediction method of the ship in transit as in any of the embodiments of the first aspect. Therefore, the destination port prediction device 2 of the ship in transit provided by the present invention also has all the advantages of the destination port prediction method of the ship in transit in any embodiment of the first aspect, and details are not repeated herein.
An embodiment of a fourth aspect of the invention provides a readable storage medium having a program or instructions stored thereon which, when executed, implement the steps of a method of port of destination prediction for a vessel in transit as in any one of the embodiments of the first aspect.
According to the present invention there is provided a readable storage medium having stored thereon a program or instructions which, when executed, carry out the steps of the method of destination port prediction for a vessel in transit as in any one of the embodiments of the first aspect. The readable storage medium is capable of implementing the steps of the port of destination prediction method for a vessel in transit as in any embodiment of the first aspect. Therefore, the readable storage medium provided by the present invention also has all the advantages of the destination port prediction method of the ship in transit in any embodiment of the first aspect, and details are not repeated herein.
An embodiment of a fifth aspect of the invention provides a vessel for carrying out the steps of the method for port of destination prediction of a vessel in transit as in any one of the embodiments of the first aspect.
According to the ship provided by the invention, the steps of the destination port prediction method of the ship in transit in any embodiment of the first aspect can be realized. Since the vessel is a step for implementing a port of destination forecasting method for a vessel in transit as in any embodiment of the first aspect. Therefore, the ship provided by the invention also has all the beneficial effects of the steps of the harbor of destination prediction method of the ship in transit in any embodiment of the first aspect, and the details are not repeated herein.
The above are only preferred embodiments of the present application, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present application for those skilled in the art.
Claims (10)
1. A method for predicting a port of destination of an in-transit ship is characterized by comprising the following steps:
acquiring historical voyage data of a ship;
constructing a geographic grid model based on the historical voyage data;
acquiring a specific grid position of the on-the-road ship in the geographic grid model;
predicting the destination port of the ship in transit based on the specific grid position, and specifically comprises the following steps:
judging whether the destination port of the AIS of the ship on the way is a recognizable port name or not based on the specific grid position, determining the destination port of the ship on the way according to a recognition result, and specifically comprising the following steps:
in the case where the destination port of the AIS is an unidentifiable port name, determining the destination port of the ship in transit based on the specific grid location of the ship in transit, the ship type of the ship in transit, and the origin port of the ship in transit specifically includes:
verifying the ship type of the ship in transit, the ship type size of the ship in transit and data stored in the starting port of the ship in transit and the specific grid position to determine at least one destination port, judging the number of the determined destination ports, judging a connection line included angle between the bow direction of the ship in transit and the destination ports under the condition that the number of the destination ports is multiple, and determining the destination port based on the size of the included angle.
2. The method according to claim 1, wherein the determining the destination port of the ship in transit according to the recognition result further comprises:
judging whether the AIS destination port is the same as the ship origin port in transit when the AIS destination port is a recognizable port name;
determining the destination port of the AIS as the destination port of the vessel in transit in the event that the destination port of the AIS is not the same as the origination port.
3. The method of predicting port of destination of a ship in transit of claim 1, wherein the historical voyage data of the ship comprises:
the system comprises the data of an original port, the data of a destination port, the data of ship load tons, the data of ship departure time, the data of ship arrival time, the AIS track data of the ship, the data of ship type and the data of ship type size.
4. The method of predicting port of destination of an in-transit ship as claimed in claim 1, wherein said constructing a geographic grid model based on said historical voyage data comprises:
acquiring AIS track data of the ship in the historical voyage data, and performing rarefaction on the AIS track data by using a Douglas-Pock algorithm;
based on the sparse AIS track data, checking the AIS static information data to clean invalid data and form AIS static information of the air route;
and constructing the geographic grid model based on the AIS static information of the airlines.
5. The method of predicting port of destination for an in-transit vessel of claim 1, wherein the step of constructing a geographic grid model based on the historical voyage data is followed by:
and traversing in advance to complete the whole route planning based on the grid of the geographic grid model and the destination port of the air route in the grid, and storing the route planning.
6. The method of predicting port of destination of an in-transit ship of claim 1, wherein the grid of the geographic grid model is divided according to latitude and longitude.
7. A port of destination prediction device for an in-transit ship, comprising:
the first acquisition module is used for acquiring historical voyage data of a ship;
the construction module is used for constructing a geographic grid model based on the historical voyage data;
the second acquisition module is used for acquiring the specific grid position of the on-road ship in the geographic grid model;
a prediction module configured to predict a destination port of the ship in transit based on the specific grid position, wherein the prediction module is specifically configured to determine whether the destination port of the AIS of the ship in transit is a recognizable port name based on the specific grid position, determine the destination port of the ship in transit according to a recognition result, and determine the destination port of the ship in transit based on the specific grid position of the ship in transit, a ship type size of the ship in transit, and an origin port of the ship in transit in a case where the destination port of the AIS is an unrecognizable port name; the prediction module is further specifically configured to verify a ship type of the ship in transit, a ship type size of the ship in transit, and data stored at the originating port of the ship in transit and the specific grid location to determine at least one destination port, determine the number of the determined destination ports, determine an angle between a bow direction of the ship in transit and a line connecting the plurality of destination ports when the number of the destination ports is multiple, and determine the destination port based on the size of the angle.
8. A port of destination prediction device for an in-transit ship, comprising:
a memory and a processor, the memory storing a program or instructions which, when executed by the processor, carry out the steps of the port of destination prediction method of a vessel in transit as claimed in any one of claims 1 to 6.
9. A readable storage medium having stored thereon a program or instructions which, when executed, carry out the steps of the port of destination prediction method of a vessel in transit of any of claims 1 to 6.
10. A ship characterized by the steps for implementing the port of destination forecasting method of a ship in transit as claimed in any one of claims 1 to 6.
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