Ship habitual route analysis method and system based on trusted spatial data

Abstract

The invention discloses a ship habitual route analysis method and system based on trusted spatial data. The method comprises the following steps: S1, obtaining original data of an AIS system, and analyzing the original data to obtain AIS data; s2, drawing an evaluation area on a sea area map through a drawing tool; s3, constructing a habitual route analysis module and a visualization module; s4, an extraction unit, a trajectory analysis unit and a clustering analysis unit respectively analyze the route information to obtain a ship habit route set; s5, a visualization module represents a ship habitual route map on the sea area map and generates a corresponding statistical report; the system comprises an AIS data receiving module, a data analysis module, a sea area display module, a habitual route analysis module and a visualization module. According to the method, the overall distribution condition of the ship habitual route is described in a designated area, and support is provided for a manager to understand the rule and characteristics of ship traffic flow in the area.

Description

Technical Field

[0001] The present invention relates to the technical field of maritime ship management, and in particular to a method and system for analyzing ship habitual routes based on trusted spatial data. Background Art

[0002] Generally, ships at sea navigate along established routes. However, in different sea areas, due to changes in weather, traffic flow, and different types of ships, the different speeds and headings of each ship will affect the traffic order on the route. The maritime navigation data is huge and complex and diverse. In order to intuitively understand the ship navigation habits in a specific area and facilitate management by managers and the formulation of sea routes, it is necessary to design a method and system for analyzing ship habitual routes based on trusted spatial data. By obtaining and analyzing and statistically processing the trusted spatial data, irrelevant data can be filtered out. For a specific area, the overall distribution of ship habitual routes can be depicted, providing support for managers to understand the laws and characteristics of ship traffic flow in the area. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for analyzing ship habitual routes based on trusted spatial data.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] A method for analyzing ship habitual routes based on trusted spatial data includes the following steps:

[0006] S1. Obtain the original data of the AIS system of ships in the sea area and parse to obtain AIS data;

[0007] S2. Draw a closed area on the sea area map through a drawing tool as an evaluation area;

[0008] S3. Construct a habitual route analysis module and a visualization module, including an extraction unit, a trajectory analysis unit, and a clustering analysis unit;

[0009] S4. The extraction unit extracts dynamic data and static data within the area range from the AIS data according to the longitude and latitude data of the evaluation area; the trajectory analysis unit analyzes the navigation trajectories of the ships according to the extracted dynamic data and static data, and extracts the route information of each ship in the area; the clustering analysis unit performs clustering analysis on the extracted route information, determines whether the routes of each ship are similar, and classifies the similar routes into the same category to obtain a ship habitual route set;

[0010] S5. According to the routes in the ship habitual route set, the visualization module represents the routes of each ship by lines on the sea area map to obtain a ship habitual route map and generate a statistical report for the evaluation area.

[0011] Further, the specific steps of step S1 are as follows:

[0012] Obtain the original data of the AIS system of ships in the sea area, comprehensively analyze and convert the original data. First, extract the message content from the obtained original data, match and classify the message content according to dynamic or static types, then, according to the parsing rules, parse and translate each field of the message content, and then convert it into a structured format. Finally, obtain AIS data including dynamic AIS messages and static AIS messages.

[0013] Further, the drawing tool in step S2 has lines. After selecting the starting point on the sea area map, by extending the length of the line, adjusting the angle and radian, and finally making the end point coincide with the starting point to draw a closed area, and use this closed area as the evaluation area. The coordinates of the line on the sea area map correspond to the longitude and latitude.

[0014] The drawing tool is provided with an adjustment unit for adding, deleting, and modifying the evaluation area.

[0015] Further, the AIS data is classified according to dynamic and static to obtain dynamic data and static data. The dynamic data includes ship position, course, speed, and track. The static information includes ship name, MMSI, IMO, call sign, ship length, starting point, ending point, ship width, and ship depth.

[0016] Further, the specific steps of step S4 are as follows:

[0017] S41. The extraction unit extracts the dynamic data and static data within the area range from the AIS data according to the longitude and latitude data corresponding to the evaluation area. The extraction unit is built-in with the Geohash algorithm to convert the two-dimensional longitude and latitude data into a one-dimensional string, and uses this string to index and search for the dynamic data and static data within the area range, and filters the data outside the area range.

[0018] S42. The trajectory analysis unit analyzes the navigation trajectories of ships according to the extracted dynamic data and static data, extracts the route information of each ship within the area, obtains the starting point, ending point, course and speed of the route, and analyzes the traffic flow, flow velocity, and density according to the start and end times.

[0019] S43. The clustering analysis unit performs clustering analysis on the extracted route information, determines whether the routes of each ship are similar, and classifies the similar routes into the same category to obtain the set of ship habitual routes.

[0020] Further, the specific steps of step S5 are as follows:

[0021] According to the routes in the set of customary ship routes, the visualization module represents the routes of each ship on the sea area map by lines, renders the lines with at least one color to obtain the customary ship route map, and generates a statistical report for the evaluation area according to the statistical report template.

[0022] A ship customary route analysis system based on trusted spatial data, including an AIS data receiving module, a data analysis module, a sea area display module, a customary route analysis module, and a visualization module;

[0023] The AIS data receiving module is communicatively connected to the AIS systems of each ship through a communication device to receive the original data of the AIS systems of each ship;

[0024] The data analysis module receives the original data of the AIS data receiving module, parses it to obtain AIS data, and the AIS data includes dynamic data and static data;

[0025] The sea area display module generates a sea area map based on satellite images, sets coordinates on the sea area map that match the longitude and latitude data, draws a closed area on the sea area map through a drawing tool, takes the closed area as the evaluation area, and calculates the corresponding longitude and latitude data according to the area size;

[0026] The customary route analysis module first extracts the dynamic data and static data within the area range from the AIS data, then analyzes the navigation trajectories of the ships based on the extracted data, extracts the route information of each ship within the area, and finally performs clustering analysis on the route information to determine whether the routes of each ship are similar. If so, the similar routes are grouped into the same category to obtain the set of customary ship routes;

[0027] The visualization module represents the routes of each ship on the sea area map by lines according to the routes in the set of customary ship routes to obtain the customary ship route map, and generates a statistical report for the evaluation area.

[0028] Further, the customary route analysis module includes an extraction unit, a trajectory analysis unit, and a clustering analysis unit;

[0029] The extraction unit extracts the dynamic data and static data within the area range from the AIS data according to the longitude and latitude data of the evaluation area;

[0030] The trajectory analysis unit analyzes the navigation trajectories of the ships based on the extracted dynamic data and static data, and extracts the route information of each ship within the area;

[0031] The clustering analysis unit performs clustering analysis on the extracted route information to determine whether the routes of each ship are similar. If the routes are similar, they are grouped into the same category to obtain the set of customary ship routes.

[0032] After adopting the above technical solution, compared with the background art, the present invention has the following advantages:

[0033] The present invention is a method and system for analyzing the habitual routes of ships based on trusted spatial data. The original data of the AIS system is obtained and parsed to obtain AIS data as trusted spatial data. On the sea area map, a closed area can be drawn at a specified position as an evaluation area through a drawing tool. Subsequently, a habitual route analysis module and a visualization module are constructed to extract the route information of each ship in the evaluation area, and the set of habitual routes of ships in the area is summarized. Based on this, the routes of each ship are represented by lines on the sea area map and statistical reports are generated, realizing the overall distribution of the habitual routes of ships after screening out irrelevant data in a specified area, and providing support for managers to understand the laws and characteristics of ship traffic flow in the area. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is the flowchart of the method of the present invention;

[0035] Figure 2 is the system framework diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0037] It should be noted that in the present invention, the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are all based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the devices or elements of the present invention must have a specific orientation. Therefore, it should not be construed as a limitation of the present invention.

[0038] Embodiment 1

[0039] Refer to Figure 1 As shown, the present invention discloses a method for analyzing the habitual routes of ships based on trusted spatial data, including the following steps:

[0040] S1. Obtain the original data of the AIS system of ships in the sea area and parse to obtain AIS data;

[0041] S2. Draw a closed area on the sea area map through a drawing tool as an evaluation area;

[0042] S3. Construct a habitual route analysis module and a visualization module, including an extraction unit, a trajectory analysis unit and a clustering analysis unit;

[0043] S4. The extraction unit extracts the dynamic data and static data within the area range from the AIS data according to the longitude and latitude data of the evaluation area; the trajectory analysis unit analyzes the navigation trajectories of the ships based on the extracted dynamic data and static data, and extracts the route information of each ship within the area; the clustering analysis unit performs clustering analysis on the extracted route information to determine whether the routes of the ships are similar, and classifies the similar routes into the same category to obtain the set of ships' habitual routes;

[0044] S5. According to the routes in the set of ships' habitual routes, the visualization module represents the routes of each ship on the sea area map by lines to obtain the map of ships' habitual routes, and generates a statistical report for the evaluation area.

[0045] The specific steps of step S1 are as follows:

[0046] Obtain the original data of the AIS system of the ships in the sea area, and conduct a comprehensive analysis and conversion of the original data. First, extract the message content from the obtained original data, match and classify the message content according to the dynamic or static type, then, according to the parsing rules, parse and translate each field of the message content, and then convert it into a structured format. Finally, obtain the AIS data including dynamic AIS messages and static AIS messages.

[0047] The drawing tool in step S2 has lines. After selecting the starting point on the sea area map, by extending the length of the line, adjusting the angle and radian, and finally making the end point coincide with the starting point to draw a closed area, and use this closed area as the evaluation area. The coordinates of the line on the sea area map correspond to the longitude and latitude.

[0048] The drawing tool is provided with an adjustment unit for adding, deleting, and modifying the evaluation area.

[0049] The AIS data is classified according to dynamic and static to obtain dynamic data and static data. The dynamic data includes ship position, course, speed, and track. The static information includes ship name, MMSI, IMO, call sign, ship length, starting point, ending point, ship width, and ship depth.

[0050] The specific steps of step S4 are as follows:

[0051] S41. The extraction unit extracts the dynamic data and static data within the area range from the AIS data according to the longitude and latitude data corresponding to the evaluation area. The extraction unit is built-in with the Geohash algorithm to convert the two-dimensional longitude and latitude data into a one-dimensional string, and uses this string to index and search for the dynamic data and static data within the area range, and filters the data outside the area range;

[0052] S42. The trajectory analysis unit analyzes the navigation trajectory of the ship based on the extracted dynamic data and static data, extracts the route information of each ship in the area, obtains the starting point, ending point, and course speed of the route, and analyzes the traffic flow, flow velocity, and density according to the start and end times;

[0053] S43. The clustering analysis unit performs clustering analysis on the extracted route information, determines whether the routes of each ship are similar, and classifies the similar routes into the same category to obtain the ship habitual route set.

[0054] The specific steps of step S5 are as follows:

[0055] According to the routes in the ship habitual route set, the visualization module represents the routes of each ship on the sea area map by lines, renders the lines with at least one color to obtain the ship habitual route map, and generates a statistical report for the evaluation area according to the statistical report template.

[0056] In this embodiment, the original data of the AIS system is first obtained, and the AIS data is parsed to obtain the reliable spatial data. Subsequently, on the sea area map, a closed area can be drawn at a specified position as the evaluation area through a drawing tool. Then, a habitual route analysis module and a visualization module are constructed to extract the route information of each ship in the evaluation area, and the ship habitual route set of this area is summarized. Finally, based on this, the routes of each ship are represented by lines on the sea area map and a statistical report is generated, realizing the overall distribution of the ship habitual routes in the specified area after filtering out irrelevant data, and providing support for managers to understand the laws and characteristics of ship traffic flow in the area.

[0057] This embodiment also has a ship density calculation module, which performs density analysis on the AIS data of different types of ships for the specified evaluation area, such as ships of different cargo types such as cargo ships, oil tankers, container ships, liquefied gas ships, and fishing boats, generates an AIS density map on the visualization module, and determines whether the traffic flow of each cargo type ship is consistent with the channel direction at the same time.

[0058] By analyzing the AIS data of different cargo type ships and the AIS density of different cargo type ships, the traffic flow information of each cargo type ship in a specific area, such as traffic flow, flow velocity, density, etc., can be extracted through the ship density calculation module. This can help understand the overall situation and distribution characteristics of the traffic flow of different cargo type ships in the area. Through the statistics and analysis of this information, an AIS density map of each cargo type ship can be generated to show the density of the traffic flow of different cargo type ships.

[0059] Analyzing and evaluating the ship traffic flow within a region helps managers comprehensively understand various laws and patterns of ship traffic flow in the water area. Further, ships passing through the gateway are classified and statistically analyzed in multiple dimensions such as ship type, tonnage, and length. The gateway can run east-west or north-south, revealing the internal structure of traffic flow and providing a scientific basis for maritime traffic management.

[0060] Embodiment 2

[0061] Reference Figure 2 As shown, this embodiment is a ship habitual route analysis system based on trusted spatial data implemented based on the method of Embodiment 1, including an AIS data receiving module 1, a data analysis module 2, a sea area display module 3, a habitual route analysis module 4, and a visualization module 5;

[0062] The AIS data receiving module 1 is communicatively connected to the AIS systems of each ship through a communication device to receive the original data of the AIS systems of each ship;

[0063] The data analysis module 2 receives the original data from the AIS data receiving module 1 and parses it to obtain AIS data, which includes dynamic data and static data;

[0064] The sea area display module 3 generates a sea area map based on satellite images and sets coordinates on the sea area map that match the longitude and latitude data. A closed area is drawn on the sea area map through a drawing tool, and the closed area is used as the evaluation area, and the corresponding longitude and latitude data are calculated according to the area size;

[0065] The habitual route analysis module 4 first extracts the dynamic data and static data within the area range from the AIS data, then analyzes the navigation trajectories of the ships based on the extracted data, extracts the route information of each ship within the area, and finally performs cluster analysis on the route information to determine whether the routes of each ship are similar. If so, the similar routes are grouped into the same category to obtain a set of ship habitual routes;

[0066] The visualization module 5 represents the routes of each ship on the sea area map as lines according to the routes in the set of ship habitual routes to obtain a ship habitual route map, places the ship habitual route map in the sea area display module 3 for display, and generates a statistical report for this evaluation area.

[0067] The habitual route analysis module 4 includes an extraction unit, a trajectory analysis unit, and a cluster analysis unit;

[0068] The extraction unit extracts the dynamic data and static data within the area range from the AIS data according to the longitude and latitude data of the evaluation area;

[0069] The trajectory analysis unit analyzes the navigation trajectory of the ship according to the extracted dynamic data and static data, and extracts the route information of each ship in the area;

[0070] The clustering analysis unit performs clustering analysis on the extracted route information, determines whether the routes of each ship are similar, and classifies the similar routes into the same category to obtain the set of ships' habitual routes.

[0071] As mentioned above, the above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A ship customary route analysis method based on credible spatial data, characterized in that: The following steps are involved: S1. Obtain the original data of the AIS system of ships in the sea area and parse and obtain the AIS data; S2. Use a drawing tool to draw a closed area on the sea map as the assessment area; S3, constructing a custom route analysis module and a visualization module, including an extraction unit, a trajectory analysis unit, and a cluster analysis unit; S4, the extraction unit extracts dynamic data and static data within the area from the AIS data according to the latitude and longitude data of the assessment area; the trajectory analysis unit analyzes the navigation trajectory of the ship according to the extracted dynamic data and static data, and extracts the route information of each ship in the area; the cluster analysis unit performs cluster analysis on the extracted route information to determine whether the routes of each ship are similar, and if they are similar, they are classified into the same category to obtain a set of ship habitual routes; S5. According to the routes of the ship's customary route set, the visualization module represents the routes of each ship through lines on the sea area map, obtains the ship's customary route map, and generates a statistical report of the assessment area.

2. A ship customary route analysis method based on credible spatial data as claimed in claim 1, characterized in that: The specific steps of step S1 are as follows: The original data of the AIS system of ships in the sea area is obtained, and the original data is fully parsed and converted. First, the message content is extracted from the obtained original data, and the message content is matched and classified according to the dynamic or static type. Then, according to the parsing rules, the message content is parsed and translated field by field, and then converted into a structured format. Finally, AIS data containing dynamic AIS messages and static AIS messages is obtained.

3. The method for analyzing ship's customary routes based on credible spatial data according to claim 1, characterized in that: The drawing tool in step S2 has a line. After selecting a starting point on the sea map, the length of the line is extended, the angle and the arc are adjusted, and finally the end point coincides with the starting point to draw a closed area, and the closed area is used as the evaluation area. The coordinates of the line on the sea map correspond to the longitude and latitude; The drawing tool has an adjustment unit for adding, deleting and modifying the evaluation area.

4. A method for analyzing ship's customary routes based on credible spatial data as claimed in claim 2, characterized in that: The AIS data is classified according to dynamic and static to obtain dynamic data and static data. The dynamic data includes the ship's position, heading, speed and track, and the static information includes the ship's name, MMSI, IMO, call sign, captain, starting point, end point, ship width and ship depth.

5. A ship customary route analysis method based on credible spatial data as claimed in claim 4, characterized in that: The specific steps of step S4 are as follows: S41, the extraction unit extracts dynamic data and static data within the area from the AIS data according to the latitude and longitude data corresponding to the assessment area. The extraction unit has a built-in Geohash algorithm to convert the two-dimensional longitude and latitude data into a one-dimensional string, and uses the string to index and search for dynamic data and static data within the area, and filter data outside the area. S42, the trajectory analysis unit analyzes the navigation trajectory of the ship according to the extracted dynamic data and static data, extracts the route information of each ship in the area, obtains the starting point, end point, and heading speed of the route, and analyzes the traffic flow, flow rate, and density according to the start and end time; S43, the cluster analysis unit performs cluster analysis on the extracted route information to determine whether the routes of the ships are similar. If they are similar, the routes are classified into the same category to obtain a set of customary ship routes.

6. A ship customary route analysis method based on credible spatial data as claimed in claim 5, characterized in that: The specific steps of step S5 are as follows: According to the routes of the ship's customary route set, the visualization module represents the routes of each ship by lines on the sea area map, renders the lines by at least one color, obtains the ship's customary route map, and generates a statistical report for the assessment area according to the statistical report template.

7. A ship customary route analysis system based on credible spatial data, characterized by: It includes AIS data receiving module, data analysis module, sea area display module, customary route analysis module and visualization module; The AIS data receiving module is connected to the AIS system of each ship through the communication device to receive the original data of the AIS system of each ship; The data analysis module receives the raw data from the AIS data receiving module and parses it to obtain AIS data, where the AIS data includes dynamic data and static data; The sea area display module generates a sea area map based on the satellite image, and sets coordinates matching the longitude and latitude data on the sea area map. A closed area is drawn on the sea area map using a drawing tool, and the closed area is used as an evaluation area, and the corresponding longitude and latitude data are calculated according to the size of the area. The customary route analysis module first extracts dynamic data and static data within the area according to the AIS data, then performs navigation track analysis on the ship according to the extracted data, extracts the route information of each ship in the area, and finally performs cluster analysis on the route information to determine whether the routes of each ship are similar. If so, similar routes are classified into the same category to obtain a set of customary routes of ships; The visualization module represents the routes of each ship through lines on the sea area map according to the routes of the ship's customary route set, obtains a ship's customary route map, and generates a statistical report of the assessment area.

8. A ship customary route analysis system based on credible spatial data as claimed in claim 7, characterized in that: The customary route analysis module includes an extraction unit, a trajectory analysis unit and a cluster analysis unit; The extraction unit extracts dynamic data and static data within the area from the AIS data according to the latitude and longitude data of the assessment area; The trajectory analysis unit analyzes the navigation trajectory of the ship based on the extracted dynamic data and static data, and extracts the route information of each ship in the area; The cluster analysis unit performs cluster analysis on the extracted route information to determine whether the routes of each ship are similar. If they are similar, the routes are classified into the same category to obtain a set of customary ship routes.

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