Ship navigation risk coupling visualization method and system fusing multi-dimensional element information

Abstract

The invention relates to a ship navigation risk coupling visualization method and system fused with multi-dimensional element information, and the method comprises the following steps: constructing ship navigation accident samples based on multi-dimensional elements, classifying according to a plurality of conditions to form classification samples, and calculating ship navigation risk coupling values under each classification condition according to the classification samples; aiming at the target ship, calculating risk coupling values under different classification conditions, and taking a maximum value and a minimum value of calculation results as a risk coupling value interval of the target ship; a drawing data sample is formed based on the ship navigation accident sample and the calculated risk coupling value interval, the data sample is divided according to the risk type and number in the drawing data sample, data sorting and graph drawing are carried out, and visualization of the ship navigation risk coupling interval is achieved. Compared with the prior art, the method has the advantages that risk coupling comparison and evaluation are facilitated, and images are more visual.

Description

Technical Field

[0001] The present invention relates to the technical field of water traffic safety and risk visualization, and in particular to a ship navigation risk coupling visualization method and system integrating multi-dimensional element information. Background Art

[0002] Risk coupling is a research topic in risk analysis. Risk coupling is the study of the interaction between several risk factors of a thing or event. This interaction may amplify or inhibit the risk of the thing or event, or it may have no obvious effect. There are many methods to calculate risk coupling, but the precise values ​​obtained are not able to express the uncertainty of risk coupling. Assuming that the risk coupling value is calculated by different methods and expressed as an interval number, how to present the risk coupling interval values ​​calculated by different methods still needs further study. From the existing research, it can be seen that the visualization of risk coupling has the following shortcomings.

[0003] (1) The calculation results presented are fixed values. In application scenarios where the values ​​are missing, the credibility of the precise numerical results is not high. In the absence of comparisons between different methods, it is also difficult to judge the correctness of the calculation results.

[0004] (2) When presenting risk coupling information, few studies consider the multiple information of the research object. Taking ship navigation risk coupling as an example, few studies incorporate information such as ship sailing time, ship accident location, and ship parameters.

[0005] In summary, there is currently a lack of a risk visualization solution for ship navigation scenarios to overcome the aforementioned problems. Summary of the invention

[0006] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a ship navigation risk coupling visualization method and system that integrates multi-dimensional element information, so as to solve or partially solve the problem that a single and accurate risk coupling calculation result cannot fully and comprehensively perform risk coupling comparison and evaluation.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] One aspect of the present invention provides a method for visualizing the coupled ship navigation risks by integrating multi-dimensional element information, comprising the following steps:

[0009] In constructing the ship navigation accident sample based on multidimensional factors, the multidimensional factors refer to season, region, time period, ship type, ship serial number, risk type, number of risk types, etc.

[0010] Classify the ship navigation accident samples according to several conditions to form classification samples, and calculate the ship navigation risk coupling value under each classification condition according to the classification samples, wherein the classification conditions include ship type, region, season and time period;

[0011] For the target ship, the risk coupling value under different classification conditions is calculated, and the maximum and minimum values ​​of the calculation results are taken as the risk coupling value range of the target ship;

[0012] A drawing data sample is formed based on the ship navigation accident sample and the calculated risk coupling value interval, the drawing data sample is divided according to the risk type and quantity in the drawing data sample, and the data is sorted and graphed respectively to realize the visualization of the ship navigation risk coupling interval.

[0013] As a preferred technical solution, data samples are divided into four categories according to the risk type and quantity in the drawing data samples, namely, data tables of single type and single quantity, single type and multiple quantities, multiple types and single quantity, and multiple types and multiple quantities. Then, the information of the rows in the data table is sorted and graphed according to the information in other columns in the data table to realize the visualization of the coupled interval of ship navigation risks.

[0014] As a preferred technical solution, the data sorting includes:

[0015] For the data table of a single risk type, sort it by season, region, time period, ship type and ship serial number;

[0016] For data tables with multiple risk types, sort them according to season, region, number of risk types, time period, ship type and ship serial number.

[0017] As a preferred technical solution, the graphics drawing comprises the following steps:

[0018] Draw the horizontal and vertical axes of the canvas based on the ship ordinal number and risk coupling interval in the sorted data table;

[0019] For a single type of data table, the risk coupling value interval calculated based on the single risk coupling value method is plotted according to the order in which the data is sorted;

[0020] For multiple types of data tables, risk coupling value intervals calculated based on multiple risk coupling value methods are plotted according to the order in which the data is sorted.

[0021] As a preferred technical solution, when drawing an image, lines are used to represent the risk coupling value interval, the shape of the line endpoints represents the number of risk types, the colors represent different time periods, and multiple sub-graphs are used to represent different seasons.

[0022] As a preferred technical solution, the ship serial number is used as the first layer label of the horizontal axis scale, the ship type is used as the second layer label of the horizontal axis scale, and the risk coupling value is used as the vertical axis.

[0023] As a preferred technical solution, it also includes:

[0024] The canvas is divided into a plurality of parts, each part corresponding to a different area.

[0025] As a preferred technical solution, the data sample includes the ship's serial number, risk coupling value interval, risk type, season, time period, region and ship type, wherein the season is determined based on the time at which the ship is located, the time period is determined based on the time at which the ship is located and the duty hours of the navigation duty driver, the region is determined based on the approximate position of the ship and the waterway and anchorage in the waters, and the ship type is obtained based on the ship category information, and the ship types include container ships, bulk or general cargo ships, liquid cargo ships, barges and supply ships, etc.

[0026] As a preferred technical solution, the NK model is used to calculate the risk coupling value of the target ship.

[0027] Another aspect of the present invention provides a ship navigation risk coupling visualization system integrating multi-dimensional element information, comprising:

[0028] A risk coupling value interval calculation module is used to construct a ship navigation accident sample based on multidimensional elements, form a classification sample based on the ship navigation accident sample according to the condition classification, and calculate the ship navigation risk coupling value under each classification condition according to the classification sample, and calculate the risk coupling value under different classification conditions for the target ship, and take the maximum and minimum values ​​of the calculation results as the risk coupling value interval of the target ship, wherein the multidimensional elements include one or more of season, incident area, time period, ship type, ship serial number, risk type, and number of risk types, and the classification conditions include ship type, area, season, and time period;

[0029] The visualization data processing module is used to construct a drawing data sample based on the ship navigation accident sample and the calculated risk coupling value interval, divide the drawing data sample according to the risk type and quantity of the drawing data sample, and perform data sorting and graphics drawing respectively to realize the visualization of the ship navigation risk coupling interval.

[0030] As a preferred technical solution, it also includes:

[0031] Visualization terminal, used to display the image after drawing.

[0032] Compared with the prior art, the present invention has at least one of the following beneficial effects:

[0033] (1) Convenient for risk coupling comparison and evaluation: The present invention calculates the risk coupling values ​​of target ships under multiple classification conditions, and uses the maximum and minimum values ​​to calculate the risk coupling value interval as the evaluation benchmark, replacing a single value that is accurate but weak in anti-interference ability and incomplete. Finally, an image is drawn based on the risk coupling value interval to achieve risk coupling comparison and evaluation.

[0034] (2) The image is more intuitive: The ship's navigation status at the time of the incident is visualized through a two-dimensional plane by combining points, lines and surfaces, that is, multi-dimensional factor information such as season, time period, region, ship type, risk type, etc., and is integrated into the ship's navigation risk coupling visualization, which is clear and intuitive. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flow chart of a method for visualizing the coupled ship navigation risk by integrating multi-dimensional factor information in an embodiment;

[0036] Figure 2 A schematic diagram of classifying data samples according to risk type and amount;

[0037] Figure 3 Flow chart of sorting order for data table of single / multiple risk types;

[0038] Figure 4 It is a base map of the visual design effect of the risk coupling result in the embodiment;

[0039] Figure 5 Schematic diagram of the risk coupling interval of a single type of ship in different seasons in the embodiment;

[0040] Figure 6 Schematic diagram of multi-type risk coupling intervals for ships in different seasons in the embodiment;

[0041] Figure 7 It is a schematic diagram of a ship navigation risk coupling visualization system integrating multi-dimensional element information in an embodiment. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0043] Example 1

[0044] Regarding the problems existing in the above prior art, see Figure 1 This embodiment provides a method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information, including the following steps:

[0045] Step S1, data preparation. Specifically, step S1 may include steps S101-S102, which are as follows:

[0046] Step S101, classification and discrimination. Specifically, step S101 includes steps S1011-S1012.

[0047] Step S1011, extracting classification conditions.

[0048] According to the time when each ship is located, the season is determined, namely spring, summer, autumn and winter.

[0049] According to the time of each ship and the duty period of the navigational officer, the time periods are determined and classified into three categories: the first mate time period, the second mate time period and the third mate time period.

[0050] According to the approximate position of each ship, combined with the distribution of waterways and anchorages in local waters, an area is determined, such as a waterway, anchorage and wharf. Preferably, the classification of the area can be adjusted or merged according to the data information.

[0051] The ship types are summarized according to the ship category information, for example, container ships, bulk or general cargo ships, liquid cargo ships (oil tankers and chemical tankers), barges and supply ships, etc.

[0052] Step S1012: perform data processing based on the classification conditions.

[0053] Classification samples are obtained by classifying ship accident samples according to classification conditions, namely season, time period, region, and ship type. Under different classification samples, the risk coupling value of each ship is calculated according to different methods, such as NK model, Bayesian structural equation model, entropy-TOPSIS-coupled coordination model, etc., as the risk coupling value under the classification condition.

[0054] When calculating the risk coupling value, the type of risk is determined, such as single type, two types, three types and four types.

[0055] For each ship, the maximum and minimum values ​​are taken according to the risk coupling values ​​under different classification conditions to form a risk coupling interval, which is used as the risk coupling value interval of the ship.

[0056] Specific data is extracted from the classification samples to form drawing data samples (the data samples cover drawing information, such as season, region, time period, ship type, ship serial number, risk type and quantity, coupling value, etc.; the classification samples are larger than the data samples and cover more information, and the classification samples are samples after the ship accident samples are divided according to season, time period, region and ship type. If the drawing data sample is a single-type and single-factor ship accident, the classification sample may include single-type and single-factor and multi-type and single-factor ship accidents, but in the classification sample they are the same under certain conditions).

[0057] The data such as the serial number of the ship in the drawing data sample, the risk coupling value interval calculated by different methods, the risk type, season, time period, region and ship type are placed in the same data table.

[0058] According to the risk type and amount, the data table is divided into the following four categories: Figure 2 .

[0059] Single type and single factor: The accident involves only a single risk type, and there is only one influencing factor under this risk type.

[0060] Multiple types and single factor: The accident involves multiple risk types, and there is only one influencing factor under these risk types.

[0061] Single type, multiple factors: The accident involves a single risk type, and there are multiple influencing factors in this risk type.

[0062] Multiple types and multiple factors: Accidents involve multiple risk types, and there are multiple influencing factors in these risk types.

[0063] Step S102: sorting data. Specifically:

[0064] For a single type of data table, sort by season, region, time period, ship type and ship serial number. Figure 3 , forming a drawing data table under this type;

[0065] For multi-type data tables, sort by season, region, number of risk types, time period, ship type and ship serial number. Figure 3 , forming a drawing data table of this type.

[0066] Step S2, graph drawing. Specifically, step S2 may include steps S201-S202.

[0067] Step S201, sub-image drawing.

[0068] The horizontal and vertical axis lengths of the canvas are drawn according to the ship sequence number and risk coupling interval in the drawing data table, and the background color of the canvas is white.

[0069] The first label of the horizontal axis is the ship number, and the second label of the horizontal axis is the ship type. The ship type is given in abbreviated form and explained in the form of a legend. The risk coupling value is the vertical axis and has no unit.

[0070] Preferably, the area is divided into several parts (strips) by dotted lines, each representing a different incident area. By default, the canvas is a strip, representing an incident area, that is, when there is only one type of area data in the data, dotted lines are not required; if there are two, they are distinguished by dotted lines, with the left side being area 1 and the right side being area 2; and so on.

[0071] Preferably, for a single-type data table, only one method of calculating the risk coupling value is considered for presentation. In this case, the risk coupling intervals are drawn in sequence on the canvas according to the order in the data table and aligned with the scale line where the ship serial number is located; for multiple-type data tables, the risk coupling values ​​calculated by different methods are presented. In this case, the risk coupling intervals are drawn in sequence on the canvas according to the order in the data table and are arranged on the left and right of the scale line where the ship serial number is located.

[0072] Preferably, the risk type is represented by the shape of the interval endpoints, and the number of lines of the shape corresponds one-to-one to the number of risk types, a circle represents a single type, a cross represents two types, a triangle represents three types, a square represents four types, and so on.

[0073] Preferably, the seasons are represented by different sub-graphs, such as sub-graph (a) for spring, sub-graph (b) for summer, sub-graph (c) for autumn, and sub-graph (d) for winter.

[0074] Preferably, the time period is represented by the color of the line connecting the coupling value intervals, for example, 00:00-04:00 is represented by red, 04:00-08:00 is represented by green, 08:00-12:00 is represented by gray, 12:00-16:00 is represented by black, 16:00-20:00 is represented by purple, and 20:00-24:00 is represented by yellow. The color selection needs to be consistent with the canvas color.

[0075] Step S202: image modification.

[0076] Arrange the calculation method, risk type, ship type, and time period legends in different sub-graphs as explanations; set sub-titles for each sub-graph, which contain the classification of seasons. Adjust the image size, set the image storage path, etc. to facilitate image generation and output.

[0077] The final risk coupling result visualization design effect base map is shown in Figure 4 .

[0078] The visualization process of the method provided in this embodiment is described below with a specific example.

[0079] Case 1: Visualization of single-type risk coupling intervals.

[0080] The ship accident data first determines the season based on the time; the time period is determined based on the crew's duty time, and the crew's position is combined with numbers 1 to 3 to represent different duty periods respectively; the area is then determined based on the waters where the incident occurred; the risk factors are determined based on the risk cause analysis, and the risk column in Table 1 gives the labels of specific risk factors; and the risk coupling interval is obtained based on the risk coupling calculation method.

[0081] Table 1 Basic data of risk coupling of single ship type (spring)

[0082]

[0083] The data in Table 1 are numerically processed. Specifically, the risk coupling value interval is divided into upper and lower limits; the risk type is represented by 1 to indicate only a single type of risk; 1 to 4 are used to represent the four seasons of spring, summer, autumn and winter; 1 to 6 are used to represent the duty periods 00:00-04:00 (Second Officer 1), 04:00-08:00 (First Officer 1), 08:00-12:00 (Third Officer 1), 12:00-16:00 (Second Officer 2), 16:00-20:00 (First Officer 2), 20:00-24:00 (Third Officer 2); 1 is used to represent Channel, 2 is used to represent Anchorage and Harbour; Con is used to represent Container ship, B / G is used to represent Bulk / general cargo ship, T / C is used to represent Tanker / chemical ship, and B / S is used to represent Barge / supply ship. The resulting data table is shown in Table 2. In this way, the drawing data tables for other seasons can be obtained, see Tables 3 and 4.

[0084] Table 2 Data table of spring ship single type risk coupling drawing

[0085]

[0086] Table 3 Summer single type risk coupling drawing data table

[0087]

[0088] Table 4 Data table of risk coupling drawing of single type of ships in autumn

[0089]

[0090] Since there is no winter data in the case data, this case only plots the data of spring, summer and autumn, see Figure 5(a) Single-type coupling risk of ships in spring, (b) single-type coupling risk of ships in summer, and (c) single-type coupling risk of ships in autumn.

[0091] Case 2: Visualization of multi-type risk coupling intervals.

[0092] The ship accident data first determines the season based on the time; combined with the crew's duty time, the time period is determined, and the crew's position is combined with numbers 1 to 3 to represent different duty periods respectively; then the area is determined based on the waters where the incident occurred; the risk factors are determined based on the risk cause analysis, and the risk column in Table 5 gives the labels of specific risk factors; and the risk coupling interval is obtained based on the risk coupling calculation method.

[0093] Table 5 Basic data of risk coupling of single ship type (spring)

[0094]

[0095]

[0096] The data in Table 5 are numerically processed. Specifically, the risk coupling value is divided into upper and lower limits; the risk types are represented by 2, 3 and 4, respectively, for two, three and four types of risks; 1 to 4 are used to represent the four seasons of spring, summer, autumn and winter; 1 to 6 are used to represent the duty periods of 00:00-04:00 (Second Officer 1), 04:00-08:00 (First Officer 1), 08:00-12:00 (Third Officer 1), 12:00-16:00 (Second Officer 2), 16:00-20:00 (First Officer 2), 20:00-24:00 (Third Officer 2); 1 is used to represent Channel, 2 is used to represent Anchorage and Harbour; Con is used to represent Container ship, B / G is used to represent Bulk / general cargo ship, T / C is used to represent Tanker / chemical ship, and B / S is used to represent Barge / supply ship. The resulting data table is shown in Table 6. The data for other seasons are similar, and Tables 7, 8 and 9 can be obtained.

[0097] Table 6 Data table of multi-type risk coupling drawing of ships in spring

[0098]

[0099] Table 7 Data table of multi-type risk coupling drawing of ships in summer

[0100]

[0101] Table 8 Data table of multi-type risk coupling drawing of ships in autumn

[0102]

[0103] Table 9 Winter ship multi-type risk coupling drawing data table

[0104]

[0105] Therefore, according to Table 6-9, the data for spring, summer, autumn and winter are plotted as follows: Figure 6 (a) Multi-type coupling risk of ships in spring, (b) multi-type coupling risk of ships in summer, (c) multi-type coupling risk of ships in autumn, and (d) multi-type coupling risk of ships in winter.

[0106] Example 2

[0107] Based on Example 1, see Figure 7 This embodiment provides a ship navigation risk coupling visualization system integrating multi-dimensional element information, including:

[0108] A risk coupling value interval calculation module is used to construct a ship navigation accident sample based on multidimensional elements, form a classification sample based on the ship navigation accident sample according to the condition classification, and calculate the ship navigation risk coupling value under each classification condition according to the classification sample, and calculate the risk coupling value under different classification conditions for the target ship, and take the maximum and minimum values ​​of the calculation results as the risk coupling value interval of the target ship, wherein the multidimensional elements include one or more of season, incident area, time period, ship type, ship serial number, risk type, and number of risk types, and the classification conditions include ship type, area, season, and time period;

[0109] The visualization data processing module is used to construct a drawing data sample based on the ship navigation accident sample and the calculated risk coupling value interval, divide the drawing data sample samples according to the risk type and quantity of the drawing data sample, and sort the data and draw graphics respectively to realize the visualization of the ship navigation risk coupling interval.

[0110] Preferably, it also includes:

[0111] Visualization terminal, used to display the image after drawing.

[0112] The present invention has the following beneficial effects:

[0113] (1) By combining points, lines and surfaces, the ship's navigation status at the time of the incident, i.e., multi-dimensional information such as season, time period, region, ship type, and risk type, is integrated into the ship's navigation risk coupling visualization through a two-dimensional plane, which is clear and intuitive.

[0114] (2) Double horizontal scale labels are used to match ship types and ship serial numbers one by one. Dot-dash lines are used to divide the drawing area to represent different areas where ship navigation incidents occurred. These designs not only concisely express the drawing intention, but also avoid reducing the readability of the drawing by adding other drawing elements in the drawing area. The number of strokes of the selected points corresponds to the risk type one by one, such as using a circle to represent a single type, a cross to represent a second type, a triangle to represent a third type, and a square to represent a fourth type. The shape is clear and the business is clear at a glance.

[0115] (3) “Point-line-point” is used to represent the interval value of ship navigation risk coupling. For situations involving multiple risk types, the risk coupling results calculated by different methods are listed on both sides of the ship serial number. These designs, on the one hand, express the uncertainty of risk coupling, and on the other hand, facilitate the comparison of the calculation results of different methods.

[0116] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A ship navigation risk coupling visualization method integrating multi-dimensional element information, characterized in that: The steps include: Constructing a sample of ship navigation accidents based on multidimensional factors, wherein the multidimensional factors include one or more of season, incident area, time period, ship type, ship serial number, risk type, and number of risk types; Based on the ship navigation accident samples, classification samples are formed according to conditions, and the ship navigation risk coupling value under each classification condition is calculated according to the classification samples, wherein the classification conditions include ship type, region, season and time period; For the target ship, the risk coupling value under different classification conditions is calculated, and the maximum and minimum values ​​of the calculation results are taken as the risk coupling value range of the target ship; A drawing data sample is constructed based on the ship navigation accident sample and the calculated risk coupling value interval, the drawing data sample is divided according to the risk type and quantity of the drawing data sample, and data sorting and graphics are performed respectively to realize visualization of the ship navigation risk coupling interval.

2. According to claim 1, a method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information, characterized in that: According to the risk type and quantity in the drawing data sample, the data sample is divided into data tables of single type and single quantity, single type and multiple quantities, multiple types and single quantity, and multiple types and multiple quantities.

3. According to claim 1, a method for visualizing the coupled ship navigation risk integrating multi-dimensional element information is characterized in that: The data sorting includes: For the data table of a single risk type, sort it by season, region, time period, ship type and ship serial number; For data tables with multiple risk types, sort them according to season, region, number of risk types, time period, ship type and ship serial number.

4. According to claim 1, a method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information is characterized in that: The graphics drawing comprises the following steps: Draw the horizontal and vertical axes of the canvas based on the ship ordinal number and risk coupling interval in the sorted data table; For the data table of a single risk type, the risk coupling value interval calculated based on the single risk coupling value method is plotted according to the order in which the data is sorted; For a data table with multiple risk types, the risk coupling value intervals calculated based on multiple risk coupling value methods are plotted according to the order in which the data is sorted.

5. According to claim 4, a method for visualizing the coupled ship navigation risk integrating multi-dimensional element information is characterized in that: When drawing the graph, lines are used to represent the risk coupling value range, the shape of the line endpoints represents the number of risk types, the colors represent different time periods, and multiple sub-graphs are used to represent different seasons.

6. The method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information according to claim 4 is characterized in that: The ship serial number is used as the first layer label of the horizontal axis scale, the ship type is used as the second layer label of the horizontal axis scale, and the risk coupling value is used as the vertical axis.

7. The method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information according to claim 4 is characterized in that: Also includes: The canvas is divided into a plurality of parts, each part corresponding to a different incident area.

8. The method for visualizing the coupled ship navigation risk by integrating multi-dimensional element information according to claim 1 is characterized in that: The data samples include the ship's serial number, risk coupling value interval, risk type, season, time period, region and ship type, wherein the season is determined based on the time at which the ship is located, the time period is determined based on the time at which the ship is located and the duty hours of the navigation duty officer, the region is determined based on the approximate position of the ship and the waterway and anchorage in the waters, and the ship type is obtained based on the ship category information, and the ship types include container ships, bulk or general cargo ships, liquid cargo ships, barges and supply ships.

9. A ship navigation risk coupling visualization system integrating multi-dimensional element information, characterized in that: include: A risk coupling value interval calculation module is used to construct a ship navigation accident sample based on multidimensional elements, form a classification sample based on the ship navigation accident sample according to the condition classification, and calculate the ship navigation risk coupling value under each classification condition according to the classification sample, and calculate the risk coupling value under different classification conditions for the target ship, and take the maximum and minimum values ​​of the calculation results as the risk coupling value interval of the target ship, wherein the multidimensional elements include one or more of season, incident area, time period, ship type, ship serial number, risk type, and number of risk types, and the classification conditions include ship type, area, season, and time period; The visualization data processing module is used to construct a drawing data sample based on the ship navigation accident sample and the calculated risk coupling value interval, divide the drawing data sample according to the risk type and quantity of the drawing data sample, and perform data sorting and graphics drawing respectively to realize the visualization of the ship navigation risk coupling interval.

10. A ship navigation risk coupling visualization system integrating multi-dimensional element information according to claim 9, characterized in that: Also includes: Visualization terminal, used to display the image after drawing.

Images