CN114005302B - Coastal ship empty ship index generation method and system - Google Patents
Coastal ship empty ship index generation method and system Download PDFInfo
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- CN114005302B CN114005302B CN202111204754.5A CN202111204754A CN114005302B CN 114005302 B CN114005302 B CN 114005302B CN 202111204754 A CN202111204754 A CN 202111204754A CN 114005302 B CN114005302 B CN 114005302B
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Abstract
The invention discloses a coastal ship empty ship index generation method and a coastal ship empty ship index generation system, which can calculate the number of empty ships and the load tonnage data of the empty ships and the distribution situation of the empty ships in each monitoring zone in different time monitoring zones, and generate the index data of the empty ships according to the counted number of the empty ships and the load tonnage data of the empty ships, thereby being convenient for a user to scientifically judge the supply situation and the market freight rate of the ships in each monitoring zone according to the empty ship situation of each monitoring zone; in addition, the method and the system can predict the conditions of the empty ships in different areas or different ports in a future period by predicting the navigation destination port and the pre-support destination port time of the empty ships, can help each party of the coastal shipping supply chain to find out unbalanced supply and demand sea areas in time, adjust the ship positioning in time, adjust the operation route of the ship at the time and change the shipbuilding investment strategy.
Description
Technical Field
The invention relates to a coastal ship empty ship index generation method and system.
Background
In recent years, the shipping market has the characteristics of long period of low fans, short recovery period and limited recovery degree, the situation of excessive capacity supply exists for a long time, the operating pressure of each shipping company rises, although the shipping market has better situation due to epidemic situation in 2020, the analysis personnel in the industry point out that the market is finished from 2021 year to 2022 year, and the situation of excessive capacity process and box quantity is followed, so that the shipping market quickly returns to low fans again. The market environment with the fluctuation of the fall brings higher requirements on the fine management capability of shipping companies, and who can better control the operation cost in the low-cost market environment becomes the key to winning in competition.
The ship automatic identification system AIS (Automatic identification System) is a ship navigation device, and can strengthen functions of ARPA radar, a ship traffic management system and a ship report by using an AIS (automatic identification system) to avoid collision among ships, display information such as visualized course, route, navigation name and the like of all ships on an electronic chart, achieve the function of improving maritime communication, provide a method for carrying out voice and text communication on the ships, and strengthen global consciousness of the ships. AIS adopts a ship global unique code system, namely MMSI code, as a recognition means. Each vessel is given a globally unique MMSI code from the start of construction to the time the vessel is disassembled.
Geographic information systems (Geographic Information System or Geo-Information system, GIS). It is a particular very important spatial information system. The system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing the related geographic distribution data in the whole or partial earth surface (including atmosphere) space under the support of a computer hard and software system.
With the development of the internet of things technology, the dynamic acquisition of ship AIS, GIS and ship archive data is not a difficult problem, but how to quickly find out the empty ship in the target area by utilizing the acquired ship AIS, GIS and ship archive data is a technical problem to be solved at present.
Disclosure of Invention
The invention aims to provide a coastal ship empty ship index generation method and system, which can quickly find out the number of empty ship index data and the load tonnage data of empty ships in a designated area and generate the empty ship index data.
In order to solve the technical problems, the invention provides a coastal ship empty ship index generation method and system, comprising the following steps:
s1: the method comprises the steps of data acquisition and data preprocessing, wherein GIS data of a monitoring area, AIS data of a ship and port archive data are acquired in real time, and big data real-time processing is carried out according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
s2: screening empty-load ships, and screening out the empty-load ships in the monitoring area according to AIS data of the ships;
s3: predicting the time of destination port and pre-sailing destination port, and predicting the sailing destination port of the empty ship and the time of pre-sailing destination port of the empty ship in the monitoring area according to the full life cycle dynamic information of the ship;
s4: generating idle ship index data, dividing a monitoring area into a plurality of monitoring subareas, counting the number of idle ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the idle ship, and calculating idle ship load tonnage data of each monitoring subarea according to the number of idle ships and AIS data of the ship; and then generating the index data of the empty ship according to the number of the empty ships and the tonnage data of the empty ship in different time according to different monitoring partitions.
Further, the screening method of the empty ship comprises the following steps:
s21: extracting current draft data of the ship, design draft data of the ship and attribute data of a hanging port/berth on the ship from AIS data of the ship;
s22: judging whether the ship is idle-load draught according to current draught data of the ship and design draught data of the ship, judging whether one hanging port on the ship is a discharge port/berth according to attribute data of one hanging port/berth on the ship, and judging the ship as the idle-load ship when the draught data of the ship is idle-load draught or the one hanging port/berth on the ship is the discharge port/berth.
Further, when whether the ship is an empty ship or not can not be judged according to the current draft data of the ship, the design draft data of the ship and the attribute data of a port hung on the ship or berth, acquiring ship behavior analysis data, judging the ship course according to the ship behavior analysis data, and when the navigation direction of the ship navigation is northbound or eastward, judging that the ship is an empty ship; otherwise the vessel is a full-load vessel.
Further, the method for predicting the navigation destination port of the empty ship comprises the following steps:
s31: acquiring manual filling of the voyage destination port data from AIS data of the ship, performing fitting operation on the manual filling of the voyage destination port data by utilizing a big data fitting algorithm, and corresponding the manual filling of the voyage destination port data with a corresponding port to predict a voyage destination port of an empty ship;
s32: judging whether the navigation track of the empty ship is consistent with the route from the current position to the navigation destination port predicted in the step S31, and if the deviation range of the navigation track of the empty ship and the route from the current position to the navigation destination port exceeds the preset range, re-predicting the navigation destination port of the empty ship according to the historical navigation range data of the empty ship and the condition of fitting the route;
s33: and analyzing the navigation dynamics of the empty carrier ship at regular intervals, and correcting the navigation destination port prediction data of the empty carrier ship.
Further, the historical sailing range data acquisition method specifically includes:
s321: extracting a historical sailing track of the empty ship according to AIS data of the ship;
s322: acquiring longitude and latitude data of all the hanging ports in the design history time period of the idle ship according to the history navigation track of the idle ship;
s323: and determining historical sailing range data according to the longitude and latitude data of the leaning port.
Further, the time prediction method for the idle ship to pre-support the destination comprises the following steps:
s34: and according to the predicted destination port position, fitting an optimal route in the system, and then calculating the time for the ship to pre-support the destination port according to the current position information of the ship, the residual sailing course and the designed sailing speed of the ship.
Further, the method further comprises: and generating an electronic map of the monitoring area according to the GIS data, and then embedding the idle ship index data and the idle ship data into the electronic map and displaying the electronic map.
In addition, the invention also provides an index generation system for generating the air ship index according to the coastal ship air ship index generation method, which comprises a database module, an empty ship screening module, a sailing destination port and pre-support destination port time prediction module and an index data generation module:
the database module is used for acquiring GIS data of a monitoring area, AIS data of the ship and port archive data in real time, and carrying out real-time processing on big data according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
the empty ship screening module is used for screening empty ships in the monitoring area according to AIS data of the ships;
the navigation destination port and pre-support destination port time prediction module is used for predicting the navigation destination port of the empty ship and the time of pre-support navigation destination port of the empty ship in the monitoring area according to the ship full life cycle dynamic information;
the index data generation module is used for dividing the monitoring area into a plurality of monitoring subareas, counting the number of empty ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the empty ship, and calculating the empty ship load tonnage data of each monitoring subarea according to the number of empty ships and AIS data of the ship; and then generating the index data of the empty ship according to the number of the empty ships and the tonnage data of the empty ship in different time according to different monitoring partitions.
Further, the system also comprises a user screening module, which is used for screening out the index data of the empty-load vessels of the appointed monitoring partition or/and the empty-load vessels of different vessel load ton ranges according to the input demands of the user.
Further, the system also comprises a display module for displaying the idle ship index data of all monitoring areas in the monitoring area or/and the data screened by the user screening module.
The beneficial effects of the invention are as follows: the number of the empty ships and the load tonnage data of the empty ships and the distribution situation of the empty ships in each monitoring zone in different time monitoring zones can be calculated, and the index data of the empty ships can be generated according to the counted number of the empty ships and the load tonnage data of the empty ships, so that a user can conveniently and scientifically judge the supply situation and the market freight rate of the ships in each monitoring zone according to the empty ship situation of each monitoring zone; in addition, the method and the system can predict the conditions of the empty ships in different areas or different ports in a future period by predicting the navigation destination port and the pre-support destination port time of the empty ships, can help each party of the coastal shipping supply chain to find out unbalanced supply and demand sea areas in time, adjust the ship positioning in time, adjust the operation route of the ship at the time and change the shipbuilding investment strategy.
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The accompanying drawings, where like reference numerals refer to identical or similar parts throughout the several views and which are included to provide a further understanding of the present application, are included to illustrate and explain illustrative examples of the present application and do not constitute a limitation on the present application. In the drawings:
FIG. 1 is a flow chart of a coastal vessel empty ship index generation method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an coastal watercraft void index generation system according to one embodiment of the present invention;
FIG. 3 is a block diagram of a coastal vessel empty ship index generation system according to an embodiment of the present invention;
fig. 4 is a business flow diagram of one embodiment of the present invention.
Detailed Description
The coastal ship empty ship index generation method as shown in fig. 1 comprises the following steps:
s1: the method comprises the steps of data acquisition and data preprocessing, wherein GIS data of a monitoring area, AIS data of a ship and port archive data are acquired in real time, and big data real-time processing is carried out according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
s2: screening empty-load ships, and screening out the empty-load ships in the monitoring area according to AIS data of the ships;
s3: predicting the time of destination port and pre-sailing destination port, and predicting the sailing destination port of the empty ship and the time of pre-sailing destination port of the empty ship in the monitoring area according to the full life cycle dynamic information of the ship;
s4: generating idle ship index data, dividing a monitoring area into a plurality of monitoring subareas, counting the number of idle ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the idle ship, and calculating idle ship load tonnage data of each monitoring subarea according to the number of idle ships and AIS data of the ship; and then generating the index data of the empty ship according to the number of the empty ships and the tonnage data of the empty ship in different time according to different monitoring partitions.
According to the method and the device, the number of the idle ships and the load tonnage data of the idle ships and the distribution situation of the idle ships in each monitoring zone are obtained through calculation and statistics, and idle ship index data are generated according to the counted number of the idle ships and the load tonnage data of the idle ships, so that a user can conveniently and scientifically judge the supply situation and market freight rate of the ships in each monitoring zone according to the empty ship situation of each monitoring zone; in addition, the method and the system can predict the conditions of the empty ships in different areas or different ports in a future period by predicting the navigation destination port and the pre-support destination port time of the empty ships, can help each party of the coastal shipping supply chain to find out unbalanced supply and demand sea areas in time, adjust the ship positioning in time, adjust the operation route of the ship at the time and change the shipbuilding investment strategy.
The ship full life cycle dynamic information includes, but is not limited to: english name of ship, ship name, MMSI number, ship type, ship flag, departure port, destination port, ship course, southwest, northst, yangtze river, IMO, call sign, ship type, ship dynamic, pre-load/dynamic time, load ton, length, width, design draft, design speed of voyage, construction year and month, management body, operation body, ownership body, longitude and latitude, speed of voyage to ground, current draft, AIS sailing state, AIS update time, etc.
Dividing coastal sea areas into nine sea areas (monitoring areas in basic application) according to shipping business habits, wherein the nine sea areas are respectively: bohai Bay, southeast coast of Liaodong, shandong peninsula, jiangsu coast, changjiang Kong, zhejiang coast, fujian coast, guangdong coast, north Bay and Hainan coast, and according to the longitude and latitude of the ship and the electronic fence data (acquired according to GIS data) of the areas, judging the sea area where the ship is and the historical sailing range data.
During statistics, the number of empty ships, the load tonnage data of the empty ships and the distribution situation of the empty ships in the monitoring area can be counted for each sea area and each port group in the monitoring area according to the sea area division situation or the port group division situation in the monitoring area, so that a user can grasp the situation of the empty ships in the specific sea area or port group.
According to an embodiment of the present application, the method for determining whether the ship in the monitoring area is an empty ship according to the ship dynamic data specifically includes:
s21: extracting current draft data of the ship, design draft data of the ship and attribute data of a hanging port/berth on the ship from AIS data of the ship;
s22: judging whether the ship is idle-load draught according to current draught data of the ship and design draught data of the ship, judging whether one hanging port on the ship is a discharge port/berth according to attribute data of one hanging port/berth on the ship, and judging the ship as the idle-load ship when the draught data of the ship is idle-load draught or the one hanging port/berth on the ship is the discharge port/berth.
According to one embodiment of the application, when whether the ship is an empty ship or not can not be judged according to current draft data of the ship, design draft data of the ship and attribute data of a port on which the ship is hung/berthed, ship behavior analysis data are obtained, then ship heading is judged according to the ship behavior analysis data, and when the navigation direction of ship navigation is northbound or eastward, the ship is judged to be the empty ship; otherwise the vessel is a full-load vessel.
According to one embodiment of the application, the method predicts the sailing destination port of the empty ship in the monitoring area through a sailing state destination judgment algorithm, and specifically comprises the following steps:
s31: acquiring manual filling of the voyage destination port data from AIS data of the ship, performing fitting operation on the manual filling of the voyage destination port data by utilizing a big data fitting algorithm, and corresponding the manual filling of the voyage destination port data with a corresponding port to predict a voyage destination port of an empty ship;
s32: judging whether the navigation track of the empty ship is consistent with the route from the current position to the navigation destination port predicted in the step S31, and if the deviation range of the navigation track of the empty ship and the route from the current position to the navigation destination port exceeds the preset range, re-predicting the navigation destination port of the empty ship according to the historical navigation range data of the empty ship and the condition of fitting the route;
s33: and analyzing the navigation dynamics of the empty carrier ship at regular intervals, and correcting the navigation destination port prediction data of the empty carrier ship.
The accuracy of the prediction result can be improved by monitoring the navigation track of the empty ship and the route from the current position to the navigation destination port in real time and correcting the navigation destination port in time when the empty ship deviates from the route. Besides the prediction method of the navigable destination port, the navigation destination of the ship can be judged by comprehensively utilizing a big data fitting algorithm according to ship AIS destination data, ship behavior analysis data, ship position and route data, and the destination with the first probability is displayed and displayed according to the probability level of each destination, and the probability level of each destination is tracked and calculated in real time.
According to one embodiment of the present application, the historical sailing range data acquisition method specifically includes:
s321: extracting a historical sailing track of the empty ship according to AIS data of the ship;
s322: acquiring longitude and latitude data of all the hanging ports in the design history time period of the idle ship according to the history navigation track of the idle ship;
s323: and determining historical sailing range data according to the longitude and latitude data of the leaning port.
The following illustrates the historical sailing range data acquisition method in combination with the coastal areas of China, which comprises the following steps:
north port judgment algorithm: and obtaining a port list of the ship historical religion according to the ship historical sailing track, and judging the north port on which the ship is religion in a specific historical period according to the longitude and latitude data of the ports in the list.
Southwest port judgment algorithm: and obtaining a port list of the ship historical religion according to the ship historical sailing track, and judging the southwest port on which the ship is religion in a specific historical period according to the longitude and latitude data of the ports in the list.
The most west port judgment algorithm of Yangtze river: and obtaining a list of ports in the Yangtze river on which the ship is hung according to the ship history sailing track, and judging the most west ports in the Yangtze river on which the ship is hung in a specific history period according to the longitude and latitude data of the ports in the list.
According to one embodiment of the application, the method predicts the time of the idle ship to pre-land the destination port through a pre-land time algorithm, and specifically comprises the following steps:
s34: and according to the predicted destination port position, fitting an optimal route in the system, and then calculating the time t=s/v of the ship to pre-support the destination port according to the current position information of the ship, the residual sailing course s and the ship design sailing speed v.
According to one embodiment of the present application, the method further comprises: and generating an electronic map of the monitoring area according to the GIS data, and then embedding the idle ship index data and the idle ship data into the electronic map and displaying the electronic map. According to the method and the device, the empty ship index data and the ship full life cycle dynamic information of the empty ship corresponding to the empty ship index data are embedded into the electronic map, so that a user can intuitively see the number of empty ships and the tonnage of the empty ship in each area on the map.
As shown in fig. 2, the application also discloses an index generation system for generating an empty ship index according to the coastal ship empty ship index generation method, which comprises a database module, an empty ship screening module, a sailing destination port and pre-abutting destination port time prediction module and an index data generation module:
the database module is used for acquiring GIS data of a monitoring area, AIS data of the ship and port archive data in real time, and carrying out real-time processing on big data according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
the empty ship screening module is used for screening empty ships in the monitoring area according to AIS data of the ships;
the navigation destination port and pre-support destination port time prediction module is used for predicting the navigation destination port of the empty ship and the time of pre-support navigation destination port of the empty ship in the monitoring area according to the ship full life cycle dynamic information;
the index data generation module is used for dividing the monitoring area into a plurality of monitoring subareas, counting the number of empty ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the empty ship, and calculating the empty ship load tonnage data of each monitoring subarea according to the number of empty ships and AIS data of the ship; and then generating idle ship index data according to the number of idle ships and the load tonnage data of the idle ships in different monitoring partitions at different times, and drawing the obtained index data into a K line graph in order to intuitively display an index function.
According to one embodiment of the application, the system further comprises a user screening module for screening out the idle ship index data of the designated monitoring zone or/and the idle ships in the load ton range of different ships according to the input demands of the user. The user can screen out the empty ship data according to the requirement through the user screening module.
According to one embodiment of the application, the system further comprises a display module for displaying the empty ship index data of all monitoring partitions in the monitoring area or/and the data screened by the user screening module. As shown in fig. 3, the presentation module includes a map presentation, and a list presentation is in two forms.
The map displays and displays the monitoring area and each sea area divided in the monitoring area (such as Bohai Bay, liaoning southeast coast, shandong peninsula, jiangsu coast, yangtze river mouth, zhejiang coast, fujian coast, guangdong coast, north Bay and south coast), displays and displays the dry bulk empty vessel number statistics bar graph of each area along the coast, and displays the tonnage bar graph of each area along the coast.
The list display comprises statistics data such as current empty ship times, current empty ship anchoring times, current empty ship sailing times, current empty ship tonnage, current empty ship anchoring tonnage, current empty ship sailing tonnage and the like. Meanwhile, the user can screen the empty ship list according to the area, the ship type, the departure port, the destination port, the southerst port, the northst port, the Yangtze river westst port, the state, the course and the like.
As shown in fig. 4, the user may acquire data from the above coastal ship empty ship index generation system according to the following method:
logging in a system: the user logs in the system through the bound WeChat account number scanning code.
List display: the user switches list display modes by clicking the "list" button.
Data screening: the user can carry out list data screening through sea areas, tonnage, departure port, destination port, southerst port, northst port, yangtze river westst port, ship state, ship course and the like.
Export data: the user clicks the export button to export the screened data into an excel file.
Chart analysis: the user clicks a chart analysis button to switch to a K line diagram mode, wherein the K line diagram mode comprises the total data of an empty ship, the southeast coast of Liaoning, the east peninsula, the Jiangsu coast, the Yangtze river mouth, the Zhejiang coast, the Fujian coast, the Guangdong coast, the K line diagram of each sea area of the North Bay and the south coast, and the user drags an operation handle below the chart to change the data display range.
Day, month, year line switching: the user clicks a button of 'day, month and year' at the right upper corner of the K line graph, and the display can be switched among a day line, a month line and a year line.
And (3) switching: the user clicks the current statistics button in the statistics selection box above the page, and can switch between the times and tonnage.
Map display: the user switches the map display mode by clicking the "map" button.
Switching the sea area list display: the user clicks on the corresponding sea area and can switch to a list display mode of the corresponding sea area.
In summary, the coastal transport ship empty ship index and system based on AIS and GIS provided by the invention are realized by utilizing current and historical AIS, GIS and port file data of ships and combining with no-load ship prediction, positioning and monitoring algorithms, the coastal ships are positioned rapidly and accurately in real time, corresponding index data are formed according to the area, the shipper is helped, the shipper knows the distribution situation of the no-load ships in the market, the judgment conforming to the business logic of the shipper is made, the production activity is arranged accordingly, the whole resource utilization efficiency of the industry is improved, and the resource waste and the carbon emission level are reduced.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (10)
1. The coastal ship empty ship index generation method is characterized by comprising the following steps of:
s1: the method comprises the steps of data acquisition and data preprocessing, wherein GIS data of a monitoring area, AIS data of a ship and port archive data are acquired in real time, and big data real-time processing is carried out according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
s2: screening empty-load ships, and screening out the empty-load ships in the monitoring area according to AIS data of the ships;
s3: predicting destination ports and the time for pre-supporting the destination ports, and predicting the navigation destination ports of empty ships and the time for pre-supporting the navigation destination ports of the empty ships in the monitoring area according to destination port data, current position data, navigation track data and historical navigation track data in the full life cycle dynamic information of the ships;
s4: generating idle ship index data, dividing a monitoring area into a plurality of monitoring subareas, counting the number of idle ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the idle ship, and calculating idle ship load tonnage data of each monitoring subarea according to the number of idle ships and AIS data of the ship; and then generating the index data of the empty ship according to the number of the empty ships and the tonnage data of the empty ship in different time according to different monitoring partitions.
2. The coastal vessel empty ship index generation method according to claim 1, wherein the empty ship screening method comprises:
s21: extracting current draft data of the ship, design draft data of the ship and attribute data of a hanging port/berth on the ship from AIS data of the ship;
s22: judging whether the ship is idle-load draught according to current draught data of the ship and design draught data of the ship, judging whether one hanging port on the ship is a discharge port/berth according to attribute data of one hanging port/berth on the ship, and judging the ship as the idle-load ship when the draught data of the ship is idle-load draught or the one hanging port/berth on the ship is the discharge port/berth.
3. The coastal vessel empty ship index generation method according to claim 2, wherein when it is impossible to determine whether the vessel is an empty vessel based on current draft data of the vessel, design draft data of the vessel, and one-wall-to-port/berth attribute data on the vessel, vessel behavior analysis data is acquired, then a vessel heading is determined based on the vessel behavior analysis data, and when a direction of navigation of the vessel is going north or east, the vessel is determined to be an empty vessel; otherwise the vessel is a full-load vessel.
4. The coastal vessel empty ship index generation method according to claim 1, wherein the method of predicting a voyage destination port of an empty ship comprises:
s31: acquiring manual filling of the voyage destination port data from AIS data of the ship, performing fitting operation on the manual filling of the voyage destination port data by utilizing a big data fitting algorithm, and corresponding the manual filling of the voyage destination port data with a corresponding port to predict a voyage destination port of an empty ship;
s32: judging whether the navigation track of the empty ship is consistent with the route from the current position to the navigation destination port predicted in the step S31, and if the deviation range of the navigation track of the empty ship and the route from the current position to the navigation destination port exceeds the preset range, re-predicting the navigation destination port of the empty ship according to the historical navigation range data of the empty ship and the condition of fitting the route;
s33: and analyzing the navigation dynamics of the empty carrier ship at regular intervals, and correcting the navigation destination port prediction data of the empty carrier ship.
5. The coastal vessel empty ship index generation method according to claim 4, wherein the historical voyage range data acquisition method specifically comprises:
s321: extracting a historical sailing track of the empty ship according to AIS data of the ship;
s322: acquiring longitude and latitude data of all the hanging ports in the design history time period of the idle ship according to the history navigation track of the idle ship;
s323: and determining historical sailing range data according to the longitude and latitude data of the leaning port.
6. The coastal vessel empty ship index generation method according to claim 4 or 5, wherein the time prediction method of the empty ship pre-support destination comprises:
s34: and according to the predicted destination port position, fitting an optimal route in the system, and then calculating the time for the ship to pre-support the destination port according to the current position information of the ship, the residual sailing course and the designed sailing speed of the ship.
7. A coastal vessel void index generation method according to claim 1, wherein the method further comprises: and generating an electronic map of the monitoring area according to the GIS data, and then embedding the idle ship index data and the ship full life cycle dynamic information of the idle ship corresponding to the idle ship index data into the electronic map and displaying the electronic map.
8. An index generation system for generating an empty ship index according to any one of claims 1 to 7, comprising
The database module is used for acquiring GIS data of a monitoring area, AIS data of the ship and port archive data in real time, and carrying out real-time processing on big data according to the GIS data, the AIS data and the port archive data to obtain full life cycle dynamic information of the ship;
the empty ship screening module is used for screening empty ships in the monitoring area according to AIS data of the ships;
the navigation destination port and pre-support destination port time prediction module is used for predicting the navigation destination port of the empty ship and the time of pre-support navigation destination port of the empty ship in the monitoring area according to the ship full life cycle dynamic information;
the index data generation module is used for dividing the monitoring area into a plurality of monitoring subareas, counting the number of empty ships in different times in each monitoring subarea according to the time of the navigation destination port and the pre-supporting navigation destination port of the empty ship, and calculating the empty ship load tonnage data of each monitoring subarea according to the number of empty ships and AIS data of the ship; and then generating the index data of the empty ship according to the number of the empty ships and the tonnage data of the empty ship in different time according to different monitoring partitions.
9. An index generation system for generating an empty ship index according to claim 8, further comprising a user screening module for screening out empty ship index data of a specified monitoring zone or/and empty ships of different ship load ton ranges according to user input requirements.
10. An index generation system for generating an empty ship index according to claim 9, further comprising a display module for displaying empty ship index data of all monitoring zones in the monitoring area or/and data screened by the user screening module.
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