A method for evaluating the operating capacity of international container ships based on AIS data

Abstract

The present invention provides a method for evaluating the operating capacity of container ships on international routes based on AIS data, including: obtaining the track data of global container ships based on ship AIS data; determining the starting and ending points of the route based on the obtained track data; marking the sample route to which the track data belongs according to the starting and ending points; verifying whether the marked sample route is correct according to the sailing time; after the sample route is correctly marked, calculating the operating capacity index of the route; visualizing the calculated operating capacity index to evaluate the operating capacity of container ships on each route. The present invention obtains the navigation track of each ship in the world, the number of ships sailing on each route, and the carrying capacity of each ship through AIS data and port point data, and then proposes and calculates the operating capacity index on each route. The present invention can accurately and frequently evaluate the trend of changes in the situation and spatial distribution of maritime traffic flow, and solves the problem of misjudgment of maritime traffic flow due to large-scale ships and diversified ship types.

Description

Technical Field

[0001] The present invention relates to the field of ship transportation technology, and in particular to a method for evaluating the operating capacity of international container ships based on AIS data. Background Art

[0002] At present, freight index and speed are usually used to reflect the current shipping market capacity and freight situation. However, the freight index is mainly compiled based on the quotation information provided by Chinese and foreign shipping companies with large market share, which cannot directly and objectively reflect the shipping market capacity and freight situation. Patent CN202110756161.3 uses AIS data to calculate the speed of each ship in the region and construct a speed index, reflecting the shipping market capacity boom by the speed of the ship. This evaluation method is too one-sided. The carrying capacity of each ship ranges from 100 to 24,000 TEUs, which varies greatly, and speed cannot be used as an indicator to objectively evaluate the shipping market capacity situation.

[0003] The most frequently used and authoritative capacity indicators in scientific research and the shipping industry are the fleet size (total fleet capacity) and idle capacity of Clarkson Shipping Intelligence Network. Among them, the fleet size includes ships in operation, idle, and in shipyard repair. However, on the one hand, fleet size and idle capacity are global indicators and cannot reflect the operating capacity on a specific route. On the other hand, the fleet size is updated at most monthly, and the idle capacity is updated at most daily, which cannot achieve a high-frequency update of the operating capacity of container ships on each international route every day.

[0004] Therefore, the current technical solutions cannot enable ship operators to instantly, objectively and accurately grasp the supply of capacity on each route, resulting in the inability to adjust capacity scheduling decisions in a timely manner. It is necessary to provide an evaluation method that can update the two indicators of ship quantity and operating capacity at a high frequency every day. Summary of the invention

[0005] According to the technical problems raised above, a method for evaluating the operating capacity of container ships on international routes based on AIS data is provided. The present invention evaluates the ship traffic volume on each route at a high frequency based on AIS data, and then integrates the ship archive data to evaluate the operating capacity on each route, evaluates the maritime traffic flow from the two aspects of the number of ships and the operating capacity, and solves the problem of misjudgment of maritime traffic flow due to large-scale ships and diversified ship types.

[0006] The technical means adopted by the present invention are as follows:

[0007] A method for evaluating the operating capacity of container ships on international routes based on AIS data, comprising:

[0008] S1. Obtain the global container ship track data based on the ship AIS data; collect ship information data through AIS, and record the time when the ship enters and leaves the port based on the port's electronic fence data; use the Lagrangian algorithm to thin the data; connect the time when each ship arrives and leaves each port in series to form the global container ship track data.

[0009] S2, based on the track data obtained in S1, determine the starting and ending points of the route;

[0010] S3, marking the sample route to which the track data belongs according to the starting and ending points in S2;

[0011] S4. Check whether the sample route marked in S3 is correct according to the sailing time;

[0012] Will leave the port The time is counted as , will arrive at the port The time is counted as , calculate the flight segment Sailing time :

[0013]

[0014] The minimum critical value of the flight time is used as the threshold , the maximum critical value of the flight time is used as the threshold , determine whether the marked sample route is correct:

[0015]

[0016] When the judgment result is , it means the marked sample route is correct. , it indicates that the marked sample route is incorrect and it is necessary to return to step S3 to re-mark.

[0017] S5. After the sample routes are correctly marked, the operational capacity index of the routes is calculated;

[0018] S6. Visualize the operating capacity index calculated in S5 to evaluate the operating capacity of container ships on each route.

[0019] Furthermore, the step S2 specifically includes:

[0020] The starting and ending points corresponding to the N sample routes are represented as , confirm the specific ports included in the starting and ending points:

[0021]

[0022]

[0023] in, express Starting point of the route Specifically included port, express Destination of the route Specifically included port.

[0024] If the starting and ending points of the route are countries, all ports in the country are used as the corresponding starting and ending points; if the starting and ending points of the route are regions, the proportion of port throughput in the region is used as the corresponding starting and ending points. , and the minimum threshold , select representative ports as corresponding starting and ending points;

[0025] The total throughput of all ports in the region is recorded as , the throughput of each port is calculated as , the ratio of each port throughput in the region to the total regional throughput is:

[0026]

[0027]

[0028] Port throughput as a percentage of regional total throughput Greater than or equal to the minimum threshold As a representative port .

[0029] Furthermore, the step S3 specifically includes:

[0030] Mark the ports in the track data:

[0031]

[0032] extract arrive Flight segment , all ports in the route are represented by their respective countries, that is , remove duplicate countries in the collection, and calculate the number of elements after removing duplicates by country in the flight segment The number of elements in the flight segment after removing duplicates of adjacent countries ,Will The flight segments are marked as routes , the flight segment is recorded as .

[0033] Furthermore, the step S5 specifically includes:

[0034] The operational capacity index includes the operational capacity of ships departing from the starting point on the sample route. and the operating capacity of the vessels arriving at the destination ;

[0035] Calculate the operating capacity of the ship from the starting point ,according to turn up All flight segments corresponding to the sample route , ,in, Indicates a specific date. Indicated in The flight segments, express The total number of flight segments corresponding to the sample route at that time. By integrating the ship archive data, the carrying capacity of the ship corresponding to each flight segment is obtained. :

[0036]

[0037]

[0038]

[0039] in, Show sample routes Maximum number of containers on board a ship; represents the total operating capacity of all flight segments corresponding to the sample route at time t; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity from the origin to the destination on the sample route in the past 7 days;

[0040] Calculate the operating capacity of the ship arriving at the destination ,according to turn up All flight segments corresponding to the sample route , ,in, Indicated in The flight segments, express The total number of flight segments corresponding to the sample route at that time; integrating the ship archive data to obtain the carrying capacity of the ship corresponding to each flight segment :

[0041]

[0042]

[0043]

[0044] in, Show sample routes Maximum number of containers on board a ship; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity of the sample routes to the destination in the past 7 days.

[0045] Furthermore, the step S6 specifically includes:

[0046] The operating capacity index time series of each route is constructed based on the operating capacity index calculated in S5, and the operating capacity of container ships on each route is evaluated by visualizing it through a line chart.

[0047] Compared with the prior art, the present invention has the following advantages:

[0048] The method for evaluating the operating capacity of container ships on international routes based on AIS data provided by the present invention obtains the navigation track of each ship in the world, the number of ships sailing on each route, and the carrying capacity of each ship through the collection and processing of AIS data, port point data, and ship archive data, and then proposes and calculates the operating capacity index on each route. The present invention can more accurately, frequently, and route-by-route evaluate the trend of changes in the situation and spatial distribution of maritime traffic flow, solving the problem of misjudgment of maritime traffic flow due to large-scale ships and diversified ship types.

[0049] The method for evaluating the operating capacity of container ships on international routes based on AIS data provided by the present invention can evaluate the operating capacity of sub-routes on a daily basis, can timely capture the latest changes in the marine traffic volume in the shipping market, and improve the accuracy, reliability, and timeliness of the marine traffic volume situation evaluation. The evaluation results of the present invention can provide important support for the capacity scheduling of shipping companies, marine traffic safety, port ship entry and exit plans, marine energy conservation and emission reduction, and other work.

[0050] Based on the above reasons, the present invention can be widely promoted in the fields of ship transportation and the like. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0052] Figure 1The present invention is a flowchart of a method for evaluating the operating capacity of container ships on international routes based on AIS data.

[0053] Figure 2 This is an example diagram of the track data of the ship in the present invention.

[0054] Figure 3 It is the Japanese route operating capacity index in the embodiment of the present invention.

[0055] Figure 4 It is the European route operating capacity index in the embodiment of the present invention.

[0056] Figure 5 It is the operating capacity index of the West Coast route in the embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] like Figure 1 As shown, the present invention provides a method for evaluating the operating capacity of container ships on international routes based on AIS data, which is characterized by comprising:

[0060] S1. Obtain global container ship track data based on ship AIS data; Figure 2 An example of a ship's track data is shown. The ship first arrives at Port A, then departs from Port A to Port B, then arrives at Port B and departs from Port B to Port C. After arriving at Port C, the ship departs from Port C to Port D. After arriving at Port D, the ship departs from Port D to Port E.

[0061] In specific implementation, as a preferred embodiment of the present invention, the step S1 specifically includes:

[0062] The ship's information data is collected through AIS, and the time when the ship enters and leaves the port is recorded based on the port's electronic fence data; the Lagrangian algorithm is used to thin the data; the time when each ship arrives and leaves each port is connected in series to form the track data of global container ships.

[0063] S2. Determine the starting and ending points of the route based on the track data obtained in S1; the routes involved in the present invention are not limited to routes between ports (such as Qingdao Port-Port Hedland route), but also include routes between countries (such as China-Japan route, referred to as Japan route), and routes between regions (such as China-US West Coast route, referred to as US West Coast route; China-Europe route, referred to as Europe route).

[0064] In specific implementation, as a preferred embodiment of the present invention, step S2 specifically includes:

[0065] The starting and ending points corresponding to the N sample routes are represented as , confirm the specific ports included in the starting and ending points:

[0066]

[0067]

[0068] in, express Starting point of the route Specifically included port, express Destination of the route Specifically included port.

[0069] If the starting and ending points of the route are countries, all ports in the country are used as the corresponding starting and ending points; for example, in the Japan route, all ports in China are used as the starting point and all ports in Japan are used as the ending point. If the starting and ending points of the route are regions, the proportion of port throughput in the region is used as the starting and ending points. , and the minimum threshold , select representative ports as corresponding starting and ending points;

[0070] The total throughput of all ports in the region is recorded as , the throughput of each port is calculated as , the ratio of each port throughput in the region to the total regional throughput is:

[0071]

[0072]

[0073] Port throughput as a percentage of regional total throughput Greater than or equal to the minimum threshold As a representative port For example, when determining the destination of the US West Coast route, the total throughput of all ports on the US West Coast is recorded as , the throughput of each port is calculated as , will account for Greater than or equal to threshold The port serves as the destination of the West Coast route.

[0074] S3, marking the sample route to which the track data belongs according to the starting and ending points in S2;

[0075] In specific implementation, as a preferred embodiment of the present invention, step S3 specifically includes:

[0076] Mark the ports in the track data:

[0077]

[0078] extract arrive Flight segment , all ports in the route are represented by their respective countries, that is , remove duplicate countries in the collection, and calculate the number of elements after removing duplicates by country in the flight segment The number of elements in the flight segment after removing duplicates of adjacent countries ,Will The flight segments are marked as routes , the flight segment is recorded as .

[0079] In the implementation, the route segments extracted in the process of marking the US West Coast route are {Qingdao Port, Tokyo Port, Yokohama Port, Shanghai Port, Los Angeles Port, Long Beach Port}, and all ports in the route segments are represented by their respective countries as {China, Japan, Japan, China, the United States, the United States}. After deduplication by country, the route segments are {China, Japan, the United States}, and the number of elements is The number of elements in the flight segment is 3. After removing the elements with the same neighboring countries, it is {China, Japan, China, United States}. is 4. , the ship sails on the Japanese route first and then on the US West Coast route, so this segment is not marked as the US West Coast route. If the extracted segment is {Qingdao Port, Tokyo Port, Yokohama Port, Los Angeles Port, Long Beach Port}, then according to the country to which the port belongs, it can be represented as {China, Japan, Japan, United States, United States}. After deduplication according to the country, the segment is {China, Japan, United States}, the number of elements is 3. After removing the elements that are the same in adjacent countries, the flight segment is still {China, Japan, United States}. is 3. , marking the flight segment as the US West Coast route and recording it as .

[0080] S4. Check whether the sample route marked in S3 is correct according to the sailing time;

[0081] In specific implementation, as a preferred embodiment of the present invention, step S4 specifically includes:

[0082] Will leave The time is counted as , will arrive The time is counted as , calculate the flight segment Sailing time :

[0083]

[0084] The minimum critical value of the flight time is used as the threshold , the maximum critical value of the flight time is used as the threshold , determine whether the marked sample route is correct:

[0085]

[0086] When the judgment result is , it means the marked sample route is correct. , it indicates that the marked sample route is incorrect and it is necessary to return to step S3 to re-mark.

[0087] S5. After the sample routes are correctly marked, the operational capacity index of the routes is calculated;

[0088] In specific implementation, as a preferred embodiment of the present invention, step S5 specifically includes:

[0089] The operational capacity index includes the operational capacity of ships departing from the starting point on the sample route. and the operating capacity of the vessels arriving at the destination ;

[0090] Calculate the operating capacity of the ship from the starting point ,according to turn up All flight segments corresponding to the sample route , ,in, Indicates a specific date, such as 2024 / 10 / 8. Note that due to the real-time nature of AIS data, the obtained flight segments Accurate in hours, minutes and seconds, such as 2024 / 10 / 8 14:26:00, so this description is based on turn up All the flight segments corresponding to the sample route at this time refer to For all flights between 2024 / 10 / 8 00:00:00 and 2024 / 10 / 8 23:59:59, use it as All flight segments corresponding to the sample routes; Indicated in The flight segments, express The total number of flight segments corresponding to the sample route at that time. By integrating the ship archive data, the carrying capacity of the ship corresponding to each flight segment is obtained. :

[0091]

[0092]

[0093]

[0094] in, Show sample routes Maximum number of containers on board a ship; represents the total operating capacity of all flight segments corresponding to the sample route at time t; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity from the starting point to the destination on the sample routes in the past 7 days. In implementation, the present invention sets the threshold value to 3000TEUs. Ships with a container volume greater than 3000TEUs are considered to be ships transiting in Japan, which do not belong to the Japan route, but may belong to the West Coast of the United States or others.

[0095] Calculate the operating capacity of the ship arriving at the destination ,according to turn up All flight segments corresponding to the sample route , ,same, Indicates a specific date of a day, such as 2024 / 10 / 8. Due to the real-time nature of AIS data, the obtained flight segment It is also accurate in hours, minutes and seconds, such as 2024 / 10 / 8 15:26:23, so this description is based on turn up All the flight segments corresponding to the sample route at this time refer to For all flights between 2024 / 10 / 8 00:00:00 and 2024 / 10 / 8 23:59:59, use it as All flight segments corresponding to the sample routes; Indicated in The flight segments, express The total number of flight segments corresponding to the sample route at that time; integrating the ship archive data to obtain the carrying capacity of the ship corresponding to each flight segment :

[0096]

[0097]

[0098]

[0099] in, Show sample routes Maximum number of containers on board a ship; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity of the sample routes to the destination in the past 7 days.

[0100] S6. Visualize the operating capacity index calculated in S5 to evaluate the operating capacity of container ships on each route.

[0101] In specific implementation, as a preferred embodiment of the present invention, step S6 specifically includes:

[0102] The operating capacity index time series of each route is constructed based on the operating capacity index calculated in S5, and the operating capacity of container ships on each route is evaluated by visualizing it through a line chart.

[0103] Figure 3 , Figure 4 , Figure 5 The chart shows the operating capacity index of Japan route, Europe route and US West Coast route at certain times. The horizontal axis of each chart is the date, the vertical axis is the operating capacity on the route, and the left sub-chart is the first indicator of operating capacity. The right sub-graph is the second indicator of operating capacity. The blue line is the daily operating capacity of the route, the yellow line is the moving average, and the moving window is 7 days. Shipping market participants can intuitively evaluate the operating capacity of container ships on each route from the chart, and evaluate the situation of maritime traffic flow more accurately, frequently, and by route, solving the problem of misjudgment of maritime traffic flow due to large-scale ships and diversified ship types.

[0104] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0105] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0106] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0107] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0108] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0109] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the operating capacity of container ships on international routes based on AIS data, characterized in that: include: S1. Obtain global container ship track data based on ship AIS data; The ship's information data is collected through AIS, and the time when the ship enters and leaves the port is recorded based on the port's electronic fence data; the Lagrangian algorithm is used to thin the data; the time when each ship arrives and leaves each port is connected in series to form the track data of global container ships; S2, based on the track data obtained in S1, determine the starting and ending points of the route; S3, marking the sample route to which the track data belongs according to the starting and ending points in S2; S4. Check whether the sample route marked in S3 is correct according to the sailing time; Will leave the port The time is counted as , will arrive at the port The time is counted as , calculate the flight segment Sailing time : The minimum critical value of the flight time is used as the threshold , the maximum critical value of the flight time is used as the threshold , determine whether the marked sample route is correct: When the judgment result is , it means the marked sample route is correct. When , it indicates that the marked sample route is wrong, and it is necessary to return to step S3 to re-mark; S5. After the sample routes are correctly marked, the operational capacity index of the routes is calculated; The operational capacity index includes the operational capacity of ships departing from the starting point on the sample route. and the operating capacity of the vessels arriving at the destination ; Calculate the ship operating capacity from the starting point ,according to turn up All flight segments corresponding to the sample route , ,in, Indicates a specific date. Indicated in The Flight segments, express The total number of flight segments corresponding to the sample route at that time; integrating the ship archive data to obtain the carrying capacity of the ship corresponding to each flight segment : in, Show sample routes Maximum number of containers carried on board a ship; represents the total operating capacity of all flight segments corresponding to the sample route at time t; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity from the origin to the destination on the sample route in the past 7 days; Calculate the ship's operating capacity at the destination ,according to turn up All flight segments corresponding to the sample route , ,in, Indicated in The Flight segments, express The total number of flight segments corresponding to the sample route at that time; integrating the ship archive data to obtain the carrying capacity of the ship corresponding to each flight segment : in, Show sample routes Maximum number of containers carried on board a ship; Indicates flight segment The corresponding container capacity of the ship; It indicates the operating capacity of the arrival and destination points on the sample routes in the past 7 days; S6. Visualize the operating capacity index calculated in S5 to evaluate the operating capacity of container ships on each route.

2. The method for evaluating the operating capacity of international container ships based on AIS data according to claim 1 is characterized in that: The step S2 specifically includes: The starting and ending points corresponding to the N sample routes are represented as , confirm the specific ports included in the starting and ending points: in, express Starting point of the route Specifically included port, express Destination of the route Specifically included port; If the starting and ending points of the route are countries, all ports in the country are used as the corresponding starting and ending points; if the starting and ending points of the route are regions, the proportion of port throughput in the region is used as the corresponding starting and ending points. , and the minimum threshold , select representative ports as corresponding starting and ending points; The total throughput of all ports in the region is recorded as , the throughput of each port is calculated as , the ratio of each port throughput in the region to the total regional throughput is: Port throughput as a percentage of regional total throughput Greater than or equal to the minimum threshold The port of is taken as the representative port R.

3. The method for evaluating the operating capacity of international container ships based on AIS data according to claim 1 is characterized in that: The step S3 specifically includes: Mark the ports in the track data: extract arrive Flight segment , all ports in the route are represented by their respective countries, that is , remove duplicate countries in the collection, and calculate the number of elements after removing duplicates by country in the flight segment The number of elements in the flight segment after removing duplicates of adjacent countries ,Will The flight segments are marked as routes , the flight segment is recorded as .

4. The method for evaluating the operating capacity of international container ships based on AIS data according to claim 1 is characterized in that: The step S6 specifically includes: The operating capacity index time series of each route is constructed based on the operating capacity index calculated in S5, and the operating capacity of container ships on each route is evaluated by visualizing it through a line chart.

Images