Method and system for predicting risk of ship detention, electronic device and storage medium

Abstract

The application provides a ship detention risk prediction method and system, an electronic device and a storage medium. The ship detention risk prediction method comprises the following steps: determining a destination port and an estimated arrival time of a ship; determining a port state control organization to which the destination port belongs and first data corresponding to the port state control organization according to the destination port; obtaining archive data of the ship; determining historical port state control inspection records of the ship according to the archive data, wherein the historical port state control inspection records correspond to the port state control organization; and predicting a detention risk of the ship according to the estimated arrival time, the historical port state control inspection records, the port state control organization and the first data. The historical port state control inspection records of the ship, the port state control organization to which the destination port belongs and the corresponding first data are obtained, and then the detention risk of the ship can be accurately predicted according to the historical port state control inspection records and the first data.

Description

Technical Field

[0001] This invention relates to the field of marine technology, and more specifically, to a method and system for predicting the risk of ship detention, electronic equipment, and storage medium. Background Technology

[0002] Port State Control (PSC) refers to the specialized inspections conducted by port authorities worldwide on foreign vessels arriving at their ports. These inspections aim to ensure the safety of ships and personnel and prevent marine pollution, focusing on the crew and the technical condition of the vessel. Among the measures taken during these inspections, "detention" has the most severe impact on the operations of ships and shipping companies. However, current technology cannot predict the risk of a vessel being detained in a specific port state in a timely manner. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

[0004] Therefore, the first aspect of the present invention proposes a method for predicting the risk of ship detention.

[0005] A second aspect of the invention proposes a prediction system for the risk of ship detention.

[0006] A third aspect of the present invention provides an electronic device.

[0007] A fourth aspect of the present invention provides a storage medium.

[0008] In view of this, according to a first aspect of the present invention, a method for predicting the risk of vessel detention is proposed, comprising: determining the vessel's port of destination and estimated arrival time; determining the port state control organization to which the port of destination belongs and first data based on the port of destination, wherein the first data corresponds to the port state control organization; acquiring the vessel's archival data; determining the vessel's historical port state control inspection records based on the archival data, wherein the historical port state control inspection records correspond to the port state control organization; and predicting the vessel's detention risk based on the estimated arrival time, historical port state control inspection records, port state control organization, and the first data.

[0009] The method for predicting ship detention risk provided by this invention mainly includes: first, determining the ship's destination port and estimated arrival time, where the destination port refers to the port where the ship will next berth. Then, determining the Port State Control Organization (PSO) to which the destination port belongs. It is understood that different countries and regions have different PSOs, and different PSOs use different port state control rules. Therefore, after obtaining the destination port information, the PSO to which the destination port belongs can be determined based on the region where the destination port is located. Furthermore, the PSO publishes all items to be inspected during port state control inspections, and also regularly publishes annual concentrated inspection campaigns (CICs) and annual reports, which publish and rank high-frequency defect items and detention items. Therefore, after determining the PSO of the destination port, the first data corresponding to the PSO can also be determined. The first data can be the PSO's inspection cycle, all items to be inspected published by the PSO, and the published high-frequency defect items and detention items. Next, the vessel's archival data is obtained, which can be acquired from Lloyd's Register. Lloyd's Register is the International Maritime Organization (IMO) designated body for issuing, managing, and verifying IMO numbers, and its data is unparalleled in its authority and completeness. The archival data includes detailed technical parameters of the vessel and equipment, construction details, P&I clubs, classification and PSC (Port State Control) inspection records, owner, operator, and sales information, among other authoritative data. After obtaining the vessel's archival data, its historical Port State Control (PSC) inspection records are determined based on this data. This involves extracting inspection records obtained after previous PSC inspections of the vessel from the archival data. These historical PSC inspection records correspond to the same Port State Control (MSC) organization as the port of destination.After obtaining historical port state control (PSC) inspection records, the PSC organization, and the first data, the risk of vessel detention is predicted based on these records. Specifically, the historical PSC inspection records include vessel defects found during previous PSC inspections. The PSC lists all items to be inspected during PSC inspections and regularly publishes annual concentrated inspection (CIC) items and annual reports, publishing and ranking high-frequency defects and detention items—this is the first data. Therefore, vessel defects can be compared with the first data to predict the risk of vessel detention. This invention achieves accurate prediction of vessel detention risk by separately obtaining the vessel's historical PSC inspection records, the PSC organization of the destination port, and the corresponding first data.

[0010] In some technical solutions, optionally, the step of predicting the vessel's detention risk based on the expected arrival time, historical port state control (PSC) inspection records, the port state control organization (PSO), and first data includes: determining the historical inspection time of the most recent PSC inspection of the vessel based on historical PSC inspection records; determining the PSC inspection cycle based on the first data; determining the inspection window based on the inspection cycle and historical inspection time; and determining the vessel's detention risk as low risk if the expected arrival time is not within the inspection window.

[0011] In this technical solution, the steps for predicting a vessel's detention risk based on the estimated arrival time, historical port state control (PSC) inspection records, the port state control organization (PSO), and first data include: First, determining the historical inspection time of the most recent PSC inspection of the vessel based on historical PSC inspection records. Then, determining the PSC inspection cycle based on the first data, i.e., determining how often the PSC typically inspects the same vessel. The inspection cycle can be one year. Next, determining the inspection window based on the inspection cycle and historical inspection time. Specifically, the next inspection time can be determined based on the historical inspection time and inspection cycle. The time after the next inspection time and the time before the next inspection time but with a preset time interval between the next inspection are then used as the inspection window. After obtaining the inspection window, the estimated arrival time is compared with the inspection window. When the estimated arrival time is not within the inspection window, it indicates a low probability that the vessel will undergo a PSC inspection at the destination port, thus determining the vessel's detention risk as low.

[0012] In some technical solutions, optionally, the step of predicting the vessel's detention risk based on the expected arrival time, historical port state control inspection records, port state control organizations, and first data may further include: if the expected arrival time is within the inspection window, then determining the vessel's defect items based on historical port state control inspection records; obtaining and weighting the annual rankings of high-frequency defect items and detention items published by the port state control organization based on the first data to determine a first inspection item set; matching the vessel's defect items with the first inspection item set to obtain a matching degree; and predicting the vessel's detention risk based on the matching degree.

[0013] In this technical solution, the steps of predicting a vessel's detention risk based on the estimated arrival time, historical port state control (PSC) inspection records, port state control organizations (PSAs), and first-data sources include: when the estimated arrival time falls within the inspection window, it indicates a high probability that the vessel will undergo a PSC inspection at the destination port. Therefore, it is necessary to determine the vessel's deficiencies based on historical PSC inspection records, i.e., the items that the vessel did not comply with during its last PSC inspection. Then, the rankings and weights of the annual high-frequency deficiencies and detention items published by the PSC are obtained from the first-data sources to determine the first inspection item set. In other words, the high-frequency deficiencies and detention items identified by the PSC over a past period are obtained from the first-data sources, and these high-frequency deficiencies and detention items are combined to obtain the first inspection item set. Subsequently, the first inspection item set is matched with the vessel's deficiencies to obtain the corresponding matching degree, and finally, the vessel's detention risk is predicted based on the matching degree. By matching the defects found during the ship's last port state control inspection with the high-frequency defects and high-frequency detention items identified by the port state control organization over a period of time, the risk of ship detention can be predicted based on the matching degree, making the prediction process simpler and faster.

[0014] In some technical solutions, optionally, the step of predicting the ship's detention risk based on the matching degree includes: determining the ship's detention risk as high risk when the matching degree is greater than or equal to a first preset threshold; and determining the ship's detention risk as medium risk when the matching degree is less than the first preset threshold.

[0015] In this technical solution, the step of predicting the vessel's detention risk based on the matching degree includes: when the matching degree value is greater than or equal to a first preset threshold, it indicates that the number of defects present during the vessel's last port state control inspection is too large compared to the first set of inspection items in the port state control rules used by the destination port, thus determining that the vessel's detention risk is also too high, i.e., the vessel's detention risk is determined to be high risk. When the matching degree value is less than the first preset threshold, it indicates that the number of defects present during the vessel's last port state control inspection is not large compared to the first set of inspection items in the port state control rules used by the destination port, thus determining that the vessel's detention risk is not high, i.e., the vessel's detention risk is determined to be medium risk.

[0016] In some technical solutions, optionally, the step of obtaining the annual rankings of high-frequency defect items and detention items published by the Port State Control Organization (PSO) based on first data and assigning weights to determine the first inspection item set includes: obtaining port state control inspection records of vessels of the same type as the vessel in the destination port in the past year based on the first data; calculating the frequency of defect items and the frequency of detention items based on multiple port state control inspection records; determining the annual rankings of high-frequency defect items and detention items based on the frequency of defect items and the frequency of detention items; assigning weights to the annual high-frequency defect items and detention items based on the annual rankings of high-frequency defect items and detention items; and determining the first inspection item set based on the weights.

[0017] In this technical solution, the steps of obtaining the annual rankings of high-frequency defect items and detention items published by the Port State Control Organization (PSCO) based on the first data and assigning weights to determine the first inspection item set include: firstly, obtaining multiple port state control inspection records obtained in the past year from port state control inspections of vessels of the same type as the vessel in the destination port; then, statistically analyzing the multiple port state control inspection records to calculate the frequency of defect items and detention items; then, determining the annual rankings of high-frequency defect items and detention items based on the frequency of defect items and detention items; then, assigning weights to the annual high-frequency defect items and detention items based on the rankings, specifically, the higher the ranking, the greater the weight assigned; finally, determining the first inspection item set based on the weights, that is, grouping together annual high-frequency defect items and / or detention items with weights greater than preset weights to form the first inspection item set.

[0018] In some technical solutions, optionally, the method for predicting the risk of ship detention also includes: when the risk of ship detention is high, generating a self-inspection checklist based on the first inspection item set and sending it to the ship and ship management company for pre-arrival ship self-inspection.

[0019] In this technical solution, the method for predicting the risk of ship detention also includes: when the risk of ship detention is determined to be high, generating a self-inspection checklist based on the first inspection item set, and then sending the self-inspection checklist to the ship and the ship management company, so that the ship can conduct its own inspection before port state control inspection, thereby avoiding the ship being detained and reducing the risk of ship detention.

[0020] In some technical solutions, the steps of determining the destination port and estimated arrival time of a vessel may optionally include: acquiring data from the vessel's Automatic Identification System (AIS); and determining the destination port and estimated arrival time based on the AIS data.

[0021] In this technical solution, the steps for determining a vessel's destination port and estimated arrival time include: First, acquiring the vessel's AIS (Automatic Identification System) data. The AIS system consists of shore-based (base station) facilities and shipboard equipment. The AIS, in conjunction with the Global Positioning System (GPS), broadcasts dynamic information such as the vessel's position, speed, rate of change of course, and course, along with static information such as the vessel's name, call sign, draft, and dangerous goods, via VHF channels to nearby vessels and shore stations. This allows neighboring vessels and shore stations to promptly grasp the dynamic and static information of all vessels in the vicinity, enabling immediate communication and coordination, and taking necessary evasive action, greatly contributing to vessel safety. Through relevant data processing technologies, the messages transmitted by the AIS equipment are analyzed and integrated with geographic information technology. The analyzed points can be displayed on a map, with each data point forming the vessel's navigation trajectory. Simultaneously, the vessel's destination port and estimated arrival time can be determined based on the messages transmitted by the vessel's AIS; that is, the destination port and estimated arrival time are determined based on the AIS data. Furthermore, if the ship's AIS data is not available, the ship's voyage instructions can be obtained, and the ship's destination port and estimated arrival time can be determined based on the voyage instructions.

[0022] According to a second aspect of the present invention, a prediction system for ship detention risk is proposed, comprising: a first determining module for determining the ship's port of destination and estimated arrival time; a second determining module for determining the port state control organization to which the port of destination belongs and first data, wherein the first data corresponds to the port state control organization; a first acquiring module for acquiring the ship's archival data; a third determining module for determining the ship's historical port state control inspection records based on the archival data, wherein the historical port state control inspection records correspond to the port state control organization; and a first processing module for predicting the ship's detention risk based on the estimated arrival time, historical port state control inspection records, the port state control organization, and the first data.

[0023] The ship detention risk prediction system provided by this invention mainly includes: a first determination module, a second determination module, a first acquisition module, a third determination module, and a first processing module. The first determination module determines the ship's destination port and estimated arrival time, where the destination port refers to the port the ship will next berth at. Then, the second determination module determines the Port State Control Organization (PSO) to which the destination port belongs. It is understood that different countries and regions have different PSOs, and different PSOs use different port state control rules. Therefore, after obtaining the destination port information, the PSO to which the destination port belongs can be determined based on the region where the destination port is located. Furthermore, the PSO publishes all items to be inspected during port state control inspections, and also regularly publishes annual concentrated inspection campaigns (CICs) and annual reports, which publish and rank frequently occurring defects and detention issues. Therefore, after determining the Port State Control (PSC) of the destination port, the corresponding primary data can be identified. This primary data includes the PSC's inspection cycle, all inspection items published by the PSC, and frequently cited defects and detentions. Then, the first acquisition module retrieves the vessel's archival data, which can be obtained from Lloyd's Register. Lloyd's Register is the IMO-designated authority for issuing, managing, and verifying IMO numbers, and its data is unparalleled in its authority and completeness. The archival data includes detailed technical parameters of the vessel and equipment, construction details, P&I clubs, classification and PSC (Port State Control) inspection records, owner, operator, and sales information, among other authoritative data. After obtaining the vessel's file data, the third determination module determines the vessel's historical port state control (PSC) inspection records based on the vessel's file data. That is, it extracts the inspection records obtained after the vessel underwent port state control inspections from the file data. The historical PSC inspection records correspond to the port state control organizations, meaning that the port state control organizations in the obtained historical PSC inspection records are the same as the port state control organizations of the destination port.After obtaining historical port state control (PSC) inspection records, the PSC organization, and the first data, the first processing module predicts the vessel's detention risk based on these records. Specifically, the historical PSC inspection records include vessel defects identified during previous PSC inspections. The PSC lists all items to be inspected during PSC inspections and regularly publishes annual concentrated inspection (CIC) items and annual reports, disclosing and ranking high-frequency defects and detention items—this is the first data. Therefore, vessel defects can be compared with the first data to predict the vessel's detention risk. This invention achieves accurate prediction of vessel detention risk by separately obtaining the vessel's historical PSC inspection records, the PSC organization of the destination port, and the corresponding first data.

[0024] According to a third aspect of the invention, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for predicting the risk of ship detention as described above.

[0025] The electronic device provided by this invention, when its processor executes a computer program, implements the steps of the above-mentioned method for predicting the risk of ship detention, and can achieve the technical effects of any of the above technical solutions, which will not be elaborated here.

[0026] According to a fourth aspect of the invention, a storage medium is provided on which a computer program is stored, which, when executed by a processor, implements the steps of the method for predicting the risk of ship detention as described above.

[0027] The storage medium provided by this invention, when the computer program is executed by a processor, implements the steps of the above-mentioned method for predicting the risk of ship detention, and can achieve the technical effects of any of the above technical solutions, which will not be elaborated here.

[0028] Additional aspects and advantages of the invention will become apparent in the following description or may be learned by practice of the invention. Attached Figure Description

[0029] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0030] Figure 1 One of the flowcharts of a method for predicting the risk of ship detention according to an embodiment of the present invention is shown;

[0031] Figure 2This is one of the flowcharts illustrating the steps of predicting the risk of vessel detention based on the expected arrival time, historical port state control inspection records, port state control organization data, and first data in a method for predicting the risk of vessel detention according to an embodiment of the present invention.

[0032] Figure 3 The second schematic diagram illustrates the steps of predicting the risk of vessel detention based on the expected arrival time, historical port state control inspection records, port state control organization, and first data in a method for predicting the risk of vessel detention according to an embodiment of the present invention.

[0033] Figure 4 The diagram illustrates a step in predicting the ship's detention risk based on a matching degree in a ship detention risk prediction method according to an embodiment of the present invention.

[0034] Figure 5 The diagram illustrates a step in a method for predicting ship detention risk according to an embodiment of the present invention: obtaining the ranking of annual high-frequency defect items and detention items published by the port state control organization based on first data and assigning weights to determine a first inspection item set.

[0035] Figure 6 A flowchart illustrating the steps of determining the destination port and estimated arrival time of a vessel in a method for predicting vessel detention risk according to an embodiment of the present invention is shown.

[0036] Figure 7 A second schematic flowchart illustrating a method for predicting the risk of ship detention according to an embodiment of the present invention is shown.

[0037] Figure 8 A schematic block diagram of a ship detention risk prediction system according to an embodiment of the present invention is shown;

[0038] Figure 9 A schematic block diagram of an electronic device according to an embodiment of the present invention is shown. Detailed Implementation

[0039] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments of the present invention and the features thereof can be combined with each other.

[0040] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0041] Figure 1A flowchart illustrating one embodiment of a method for predicting ship detention risk according to the present invention is shown. The method includes:

[0042] Step 102: Determine the vessel's port of destination and estimated arrival time;

[0043] Step 104: Determine the port state control organization to which the port of destination belongs and the first data based on the port of destination, wherein the first data corresponds to the port state control organization;

[0044] Step 106: Obtain the ship's file data;

[0045] Step 108: Determine the ship's historical port state control inspection records based on the archival data, wherein the historical port state control inspection records correspond to the port state control organizations;

[0046] Step 110: Predict the risk of vessel detention based on estimated arrival time, historical port state control inspection records, port state control organization, and first data.

[0047] The method for predicting ship detention risk provided by this invention mainly includes: first, determining the ship's destination port and estimated arrival time, where the destination port refers to the port where the ship will next berth. Then, determining the Port State Control Organization (PSO) to which the destination port belongs. It is understood that different countries and regions have different PSOs, and different PSOs use different port state control rules. Therefore, after obtaining the destination port information, the PSO to which the destination port belongs can be determined based on the region where the destination port is located. Furthermore, the PSO publishes all items to be inspected during port state control inspections, and also regularly publishes annual concentrated inspection campaigns (CICs) and annual reports, which publish and rank high-frequency defect items and detention items. Therefore, after determining the PSO of the destination port, the first data corresponding to the PSO can also be determined. The first data can be the PSO's inspection cycle, all items to be inspected published by the PSO, and the published high-frequency defect items and detention items. Next, the vessel's archival data is obtained, which can be acquired from Lloyd's Register. Lloyd's Register is the International Maritime Organization (IMO) designated body for issuing, managing, and verifying IMO numbers, and its data is unparalleled in its authority and completeness. The archival data includes detailed technical parameters of the vessel and equipment, construction details, P&I clubs, classification and PSC (Port State Control) inspection records, owner, operator, and sales information, among other authoritative data. After obtaining the vessel's archival data, its historical Port State Control (PSC) inspection records are determined based on this data. This involves extracting inspection records obtained after previous PSC inspections of the vessel from the archival data. These historical PSC inspection records correspond to the same Port State Control (MSC) organization as the port of destination.After obtaining historical port state control (PSC) inspection records, the PSC organization, and the first data, the risk of vessel detention is predicted based on these records. Specifically, the historical PSC inspection records include vessel defects found during previous PSC inspections. The PSC lists all items to be inspected during PSC inspections and regularly publishes annual concentrated inspection (CIC) items and annual reports, publishing and ranking high-frequency defects and detention items—this is the first data. Therefore, vessel defects can be compared with the first data to predict the risk of vessel detention. This invention achieves accurate prediction of vessel detention risk by separately obtaining the vessel's historical PSC inspection records, the PSC organization of the destination port, and the corresponding first data.

[0048] The archived data may include: detailed vessel information, such as registration / communication / mutual guarantee associations, shipping company, business history, classification society, and classification society inspection records; hull structure, such as vessel tonnage, hull size, builder, vessel condition, structural details, and alterations and modifications; cargo and equipment, such as cargo overview, cargo holds, tanker compartments, hatches, loading capacity, loading and unloading equipment, and roll-on / roll-off (Ro-Ro) cargo; vessel equipment, such as main engines, auxiliary engines, boilers, main generators, auxiliary generators, turbochargers, fuel oil, propellers, and bow thrusters; inspection certificates, such as PSC inspections, SMC (Safety Management Certificate), major incidents, and incident timelines. Furthermore, the main reference data items for PSC inspection records are as follows: statistical items, such as the number of inspections, number of defects, number of detentions, defect rate, detention rate, number of defects, number of ISM (International Safety Management Code) defects, and number of non-ISM defects; inspection details, such as the country inspected, applicable rule memorandum, port inspected, reporting time, inspection organization, and inspection type. Defect details, such as defect type, defect code, defect description, and reason for delay.

[0049] Figure 2 This illustration shows one of the flowcharts illustrating the steps in a method for predicting vessel detention risk according to an embodiment of the present invention, which involves predicting the vessel's detention risk based on the estimated arrival time, historical port state control (PSC) records, port state control organization (PSO) data, and first data. The steps for predicting the vessel's detention risk based on the estimated arrival time, historical PSC records, PSC data, and first data include:

[0050] Step 202: Determine the historical inspection date of the most recent port state control inspection of the vessel based on historical port state control inspection records;

[0051] Step 204: Determine the port state control organization's inspection cycle based on the first data;

[0052] Step 206: Determine the inspection window period based on the inspection cycle and historical inspection times;

[0053] Step 208: If the expected arrival time is not within the inspection window, the risk of the vessel being detained is determined to be low.

[0054] In this embodiment, the step of predicting the vessel's detention risk based on the estimated arrival time, historical port state control (PSC) inspection records, the port state control organization (PSO), and first data includes: firstly, determining the historical inspection time of the most recent PSC inspection of the vessel based on historical PSC inspection records. Then, determining the PSC inspection cycle based on the first data, i.e., determining how often the PSC typically inspects the same vessel. The inspection cycle can be one year. Next, determining the inspection window based on the inspection cycle and historical inspection time. Specifically, the next inspection time can be determined based on the historical inspection time and inspection cycle. The time after the next inspection time and the time before the next inspection time but with a preset time interval between the next inspection and the next inspection time are used as the inspection window. After obtaining the inspection window, the estimated arrival time is compared with the inspection window. When the estimated arrival time is not within the inspection window, it indicates a low probability that the vessel will undergo a PSC inspection at the destination port, thus determining the vessel's detention risk as low.

[0055] Figure 3 The second schematic flowchart illustrates a step in the method for predicting vessel detention risk according to an embodiment of the present invention, which involves predicting the vessel's detention risk based on the estimated arrival time, historical port state control records, port state control organization data, and first data. The step of predicting the vessel's detention risk based on the estimated arrival time, historical port state control records, port state control organization data, and first data further includes:

[0056] Step 302: If the estimated arrival time is within the inspection window, determine the ship's defects based on historical port state control inspection records;

[0057] Step 304: Obtain the ranking of the annual high-frequency defect items and detention items published by the Port State Control Organization based on the first data, and assign weights to determine the first inspection item set;

[0058] Step 306: Match the ship defect items with the first inspection item set to obtain the matching degree;

[0059] Step 308: Predict the risk of vessel detention based on the matching degree.

[0060] In this embodiment, the step of predicting the vessel's detention risk based on the estimated arrival time, historical port state control (PSC) inspection records, port state control organization (PSO) data, and first data further includes: when the estimated arrival time falls within the inspection window, it indicates a high probability that the vessel will undergo a PSC inspection at the destination port. Therefore, it is necessary to determine the vessel's defect items based on historical PSC inspection records, i.e., the items that the vessel did not comply with during its last PSC inspection. Then, the ranking of annual high-frequency defect items and detention items published by the PSC is obtained from the first data, and weighted to determine the first inspection item set. In other words, high-frequency defect items and high-frequency detention items inspected by the PSC over a past period are obtained from the first data, and these high-frequency defect items and high-frequency detention items are combined to obtain the first inspection item set. Subsequently, the first inspection item set is matched with the vessel's defect items to obtain the corresponding matching degree, and finally, the vessel's detention risk is predicted based on the matching degree. By matching the defects found during the ship's last port state control inspection with the high-frequency defects and high-frequency detention items identified by the port state control organization over a period of time, the risk of ship detention can be predicted based on the matching degree, making the prediction process simpler and faster.

[0061] Figure 4 A flowchart illustrating the step of predicting the ship's detention risk based on a matching degree in a ship detention risk prediction method according to an embodiment of the present invention is shown; wherein, the step of predicting the ship's detention risk based on a matching degree includes:

[0062] Step 402: When the matching degree is greater than or equal to the first preset threshold, the ship's detention risk is determined to be high risk;

[0063] Step 404: When the matching degree is less than the first preset threshold, the ship's detention risk is determined to be medium risk.

[0064] In this embodiment, the step of predicting the vessel's detention risk based on the matching degree includes: when the matching degree value is greater than or equal to a first preset threshold, it indicates that the number of defects present during the vessel's last port state control inspection is too large compared to the first set of inspection items in the port state control rules used by the destination port, thus determining that the vessel's detention risk is also too high, i.e., the vessel's detention risk is determined to be high risk. When the matching degree value is less than the first preset threshold, it indicates that the number of defects present during the vessel's last port state control inspection is not large compared to the first set of inspection items in the port state control rules used by the destination port, thus determining that the vessel's detention risk is not high, i.e., the vessel's detention risk is determined to be medium risk.

[0065] Figure 5 The diagram illustrates a step in a method for predicting ship detention risk according to an embodiment of the present invention: obtaining rankings of annual high-frequency defect items and detention items published by port state control organizations based on first data and assigning weights to determine a first inspection item set. The step of obtaining rankings of annual high-frequency defect items and detention items published by port state control organizations based on first data and assigning weights to determine the first inspection item set includes:

[0066] Step 502: Obtain port state control inspection records of vessels of the same type as the vessel in the port of destination within the past year based on the first data;

[0067] Step 504: Calculate the frequency of defective items and the frequency of detained items based on multiple port state control inspection records;

[0068] Step 506: Determine the annual ranking of high-frequency defective items and the ranking of delayed items based on the frequency of defective items and the frequency of delayed items;

[0069] Step 508: Assign weights to the annual high-frequency defect items and the delayed items based on their rankings.

[0070] Step 510: Determine the first set of inspection items based on the weights.

[0071] In this embodiment, the step of obtaining the annual ranking of high-frequency defect items and detention items published by the Port State Control Organization based on the first data and assigning weights to determine the first inspection item set includes: firstly, obtaining multiple Port State Control Inspection Records obtained in the past year when conducting Port State Control Inspections on vessels of the same type as the vessel in the destination port; then, statistically analyzing the multiple Port State Control Inspection Records to calculate the frequency of defect items and detention items; then, determining the annual ranking of high-frequency defect items and detention items based on the frequency of defect items and detention items; then, assigning weights to the annual high-frequency defect items and detention items based on the rankings, specifically, the higher the ranking, the greater the weight assigned; finally, determining the first inspection item set based on the weights, that is, combining annual high-frequency defect items and / or detention items with weights greater than preset weights together to form the first inspection item set.

[0072] In some embodiments, the method for predicting the risk of vessel detention may optionally include: when the risk of vessel detention is high, generating a self-inspection checklist based on a first inspection item set and sending it to the vessel and the vessel management company for pre-arrival vessel self-inspection.

[0073] In this embodiment, the method for predicting the risk of ship detention further includes: when the risk of ship detention is determined to be high, generating a self-inspection checklist based on a first inspection item set, and then sending the self-inspection checklist to the ship and the ship management company, so that the ship can conduct its own inspection before port state control inspection, thereby avoiding the ship being detained and reducing the risk of ship detention.

[0074] Figure 6 The diagram illustrates a step in determining the destination port and estimated arrival time of a vessel in a method for predicting vessel detention risk according to an embodiment of the present invention; wherein, the step of determining the destination port and estimated arrival time of the vessel includes:

[0075] Step 602: Obtain data from the vessel's Automatic Identification System (AIS);

[0076] Step 604: Determine the port of destination and estimated arrival time based on data from the Automatic Identification System (AIS).

[0077] In this embodiment, the steps for determining the vessel's destination port and estimated arrival time include: firstly, acquiring the vessel's AIS (Automatic Identification System) data. The AIS system consists of shore-based (base station) facilities and shipboard equipment. The AIS, in conjunction with the Global Positioning System (GPS), broadcasts dynamic information such as the vessel's position, speed, rate of change of course, and course, along with static information such as the vessel's name, call sign, draft, and dangerous goods, via VHF channels to nearby vessels and shore stations. This allows nearby vessels and shore stations to promptly grasp the dynamic and static information of all vessels in the vicinity, enabling immediate communication and coordination, and taking necessary evasive action, greatly contributing to vessel safety. Through relevant data processing technologies, the messages sent by the AIS equipment are parsed and integrated with geographic information technology. The parsed points can be displayed on a map, with each data point forming the vessel's navigation trajectory. Simultaneously, the vessel's destination port and estimated arrival time can be determined based on the messages sent by the vessel's AIS; that is, the destination port and estimated arrival time are determined based on the AIS data. Furthermore, if the ship's AIS data is not available, the ship's voyage instructions can be obtained, and the ship's destination port and estimated arrival time can be determined based on the voyage instructions.

[0078] Figure 7 The second schematic flowchart illustrates a method for predicting the risk of ship detention according to an embodiment of the present invention. The method includes:

[0079] Step 702: Identify the vessel to be evaluated;

[0080] Step 704: Obtain the ship's AIS voyage information. If the result is negative, proceed to step 706. If the result is positive, proceed to step 708.

[0081] Step 706: Obtain the vessel voyage instructions.

[0082] Step 708: Obtain information on the port of destination and its country of origin;

[0083] Step 710: Obtain the relevant port state control organization and conduct a defect analysis;

[0084] Step 712: Obtain the ship's records;

[0085] Step 714: PSC checks and analyzes the records;

[0086] Step 716: Determine whether it is within the risk window period. If the result is no, proceed to step 718. If the result is yes, proceed to step 720.

[0087] Step 718: Low-risk vessels;

[0088] Step 720: Analyze the defect matching degree. If the matching degree is low, proceed to step 722. If the matching degree is high, proceed to step 724.

[0089] Step 722: Medium-risk vessels;

[0090] Step 724: High-risk vessels;

[0091] Step 726: Generate a self-inspection checklist and urge the vessel to complete the self-inspection.

[0092] In this embodiment, the method for predicting the risk of vessel detention includes: first, identifying the vessel to be assessed; then, based on the vessel's AIS voyage information, if AIS voyage information is available, determining the vessel's port of destination and its country of origin; if AIS voyage information is not available, obtaining the vessel's voyage instructions, and determining the vessel's port of destination and its country of origin based on the voyage instructions. After obtaining the port of destination and its country of origin, obtaining the corresponding Port State Control Organization (PSC) and performing a defect analysis, i.e., determining the PSC used by the port of destination and analyzing the PSC's inspection time cycle and inspection items. Simultaneously, the vessel's file data can be obtained, and PSC inspection records can be retrieved from the vessel's file data and analyzed. The analysis process includes determining the inspection time and the defect items in the PSC inspection records. The process then uses the PSC inspection record and port state control rules to determine if the vessel is within a risk window. Specifically, the next inspection date is determined first based on the inspection time and inspection period in the PSC inspection record. The time following the next inspection date is then considered the risk window. Furthermore, the risk window can also include time preceding the next inspection date that is a pre-set interval from the next inspection date. For example, if the inspection date in the PSC inspection record is June 2024 and the inspection period is one year, the risk window could be after June 2025. Further, the risk window could also be after April 2025. When the expected arrival time is outside the risk window, for example, if the expected arrival time is February 2025 but falls before April 2025, it indicates a low probability that the vessel will undergo port state control inspection at the destination port, and therefore the vessel is classified as a low-risk vessel. When the expected arrival time falls within a risk window, for example, if the expected arrival time is July 2025 but falls after April 2025, it indicates a high probability that the vessel will be subject to Port State Control (PSC) inspection at the destination port. Therefore, it is necessary to analyze the match between the deficiencies in the PSC inspection record and the inspection items in the Port State Control Rules. A low match rate indicates a medium-risk vessel, while a high match rate indicates a high-risk vessel. When a vessel is identified as high-risk, a self-inspection checklist is generated based on the inspection items in the Port State Control Rules, the deficiencies in the PSC inspection record, or the matching items. This checklist is then sent to the vessel to be assessed, enabling it to complete the self-inspection and avoid vessel detention. This invention can automatically match the appropriate Port State Control organization for the destination port and self-check whether the vessel has reached the inspection window. It also provides convenient and comprehensive vessel analysis data, saving significant manpower, material resources, and financial resources spent on collecting vessel information.

[0093] Furthermore, when acquiring vessel archive data, accident records can also be obtained. These accident records, combined with historical port state control (PoV) inspection records and PoV rules, can be used to predict vessel detention risks. The accident records primarily reference the following data items: providing global vessel accident records, including the time, location, vessel, accident type, severity, and casualties; accident details, such as accident name, incident number, port, accident type, and event type; event and cargo, such as the number of fatalities, missing persons, status details, cargo status, cargo type (dangerous goods), and whether pollution occurred; voyage details, such as port of origin, port of arrival, evacuation, and auxiliary operations; event details, such as event number, event date, event initiation, location, and weather; accident location, such as Marsden grid, location type, area, and collision site; and information on other vessels involved and their handling.

[0094] This solution integrates Automatic Identification System (AIS) voyage information (destination port, estimated arrival time, etc.) with vessel file data, PSC inspection records, accident records, and port state control (PSC) records. By identifying AIS destination port information, it determines the PSC to which the destination port belongs and displays a notification. It also retrieves and analyzes PSC inspection records of similar vessels at the destination port over the past year, ranking them by inspection frequency and detention defect frequency. Combined with the vessel's previous inspection compliance rules and recorded defects, vessel management personnel can proactively generate preventative solutions and self-inspection checklists. This provides objective evidence for identifying and investigating potential risks before arrival at port, assisting management personnel and crew in risk assessment, and ultimately benefiting shipping companies and ship management companies in efficient and safe operation and cost reduction.

[0095] Figure 8 A schematic block diagram of a ship detention risk prediction system according to an embodiment of the present invention is shown; wherein, the ship detention risk prediction system 80 includes:

[0096] The first determining module 802 is used to determine the ship's destination port and estimated arrival time.

[0097] The second determining module 804 is used to determine the port state control organization to which the port of destination belongs and the first data based on the port of destination, wherein the first data corresponds to the port state control organization;

[0098] The first acquisition module 806 is used to acquire the ship's archive data;

[0099] The third determination module 808 is used to determine the ship's historical port state control inspection records based on archival data, wherein the historical port state control inspection records correspond to the port state control organization;

[0100] The first processing module 810 is used to predict the risk of vessel detention based on the estimated arrival time, historical port state control inspection records, port state control organization, and first data.

[0101] The ship detention risk prediction system 80 provided by this invention mainly includes: a first determination module 802, a second determination module 804, a first acquisition module 806, a third determination module 808, and a first processing module 810. The first determination module 802 determines the ship's destination port and estimated arrival time, where the destination port refers to the port the ship will next berth at. Then, the second determination module 804 determines the port state control organization (PSO) to which the destination port belongs based on the destination port. It is understood that different countries and regions have different PSOs, and different PSOs use different port state control rules. Therefore, after obtaining the destination port information, the PSO to which the destination port belongs can be determined based on the region where the destination port is located. Furthermore, the PSO publishes all items to be inspected during port state control inspections, and also regularly publishes annual concentrated inspection campaigns (CIC) items and annual reports, which publish and rank high-frequency defect items and detention items. Therefore, after determining the Port State Control (PSC) of the destination port, the corresponding primary data can be determined. This primary data can include the PSC's inspection cycle, all inspection items published by the PSC, and frequently occurring defects and detentions. Then, the first acquisition module 806 acquires the vessel's archival data, which can be obtained from Lloyd's Register. Lloyd's Register is the IMO-designated authority for issuing, managing, and verifying IMO numbers, and its data is unparalleled in its authority and completeness. The archival data includes detailed technical parameters of the vessel and equipment, construction details, P&I clubs, classification and PSC (Port State Control) inspection records, owner, operator, and sales information, among other authoritative data. After obtaining the ship's file data, the third determination module 808 determines the ship's historical port state control inspection records based on the ship's file data. That is, it extracts the inspection records obtained after the ship underwent port state control inspections in the file data. The historical port state control inspection records correspond to the port state control organizations, that is, the port state control organizations in the obtained historical port state control inspection records are the same as the port state control organizations of the destination port.After obtaining historical port state control (PSC) inspection records, the PSC organization, and the first data, the first processing module 810 predicts the vessel's detention risk based on these records. Specifically, the historical PSC inspection records include vessel defects found during previous PSC inspections. The PSC lists all items to be inspected during PSC inspections and regularly publishes annual concentrated inspection (CIC) items and annual reports, disclosing and ranking high-frequency defects and detention items—this is the first data. Therefore, vessel defects can be compared with the first data to predict the vessel's detention risk. This invention achieves accurate prediction of vessel detention risk by separately obtaining the vessel's historical PSC inspection records, the PSC organization of the destination port, and the corresponding first data.

[0102] In some embodiments, the first processing module 810 is optionally configured to determine the historical inspection time of the most recent port state control organization inspection of the vessel based on historical port state control inspection records; determine the inspection cycle of the port state control organization based on first data; determine the inspection window period based on the inspection cycle and historical inspection time; and determine the vessel's detention risk as low risk if the expected arrival time is not within the inspection window period.

[0103] In this embodiment, the first processing module 810 is specifically used to first determine the historical inspection time of the most recent port state control (PSC) inspection of the vessel based on historical port state control (PSC) inspection records. Then, it determines the PSC inspection cycle based on the first data, i.e., how often the PSC typically inspects the same vessel. The inspection cycle can be one year. Then, it determines the inspection window period based on the inspection cycle and historical inspection time. After obtaining the inspection window period, it compares the expected arrival time with the inspection window period. If the expected arrival time is not within the inspection window period, it indicates that the likelihood of the vessel undergoing a PSC inspection at the destination port is low, therefore the vessel's detention risk is determined to be low.

[0104] In some embodiments, optionally, the first processing module 810 is specifically configured to: determine the ship defect items based on historical port state control inspection records if the expected arrival time is within the inspection window; obtain the annual ranking of high-frequency defect items and detention items published by the port state control organization based on the first data and assign weights to determine the first inspection item set; match the ship defect items with the first inspection item set to obtain the matching degree; and predict the ship's detention risk based on the matching degree.

[0105] In this embodiment, the first processing module 810 is specifically used to determine the vessel's deficiencies when the estimated arrival time falls within the inspection window, indicating a high probability of port state control (PSC) inspection at the destination port. Therefore, it needs to identify the vessel's deficiencies based on historical PSC records—that is, the items the vessel did not comply with during its last PSC inspection. Then, it retrieves the annual rankings of high-frequency deficiencies and detentions published by the PSC from the first data and assigns weights to determine the first inspection item set. In other words, it retrieves high-frequency deficiencies and detentions identified by the PSC over a past period from the first data and combines these items to obtain the first inspection item set. Subsequently, it matches the first inspection item set with the vessel's deficiencies to obtain the corresponding matching degree, and finally predicts the vessel's detention risk based on the matching degree. By matching the deficiencies present during the vessel's last PSC inspection with the high-frequency deficiencies and detentions identified by the PSC over a past period, and then predicting the vessel's detention risk based on the matching degree, the prediction process becomes simpler and faster.

[0106] In some embodiments, optionally, the first processing module 810 is specifically used to determine that the ship's detention risk is high risk when the matching degree is greater than or equal to a first preset threshold, and to determine that the ship's detention risk is medium risk when the matching degree is less than the first preset threshold.

[0107] In this embodiment, the first processing module 810 is specifically used to determine that when the matching degree value is greater than or equal to a first preset threshold, it indicates that the number of defects present during the ship's last port state control inspection is too large to match the number of defects in the first inspection item set of the port state control rules used by the destination port. Therefore, it can be determined that the risk of the ship being detained is also too high, i.e., the ship's detention risk is determined to be high. When the matching degree value is less than the first preset threshold, it indicates that the number of defects present during the ship's last port state control inspection is not large to match the number of defects in the first inspection item set of the port state control rules used by the destination port. Therefore, it can be determined that the risk of the ship being detained is not high, i.e., the ship's detention risk is determined to be medium.

[0108] In some embodiments, optionally, the first processing module 810 is specifically configured to: obtain port state control inspection records of vessels of the same type as the vessel in the destination port in the past year based on first data; calculate the frequency of defect items and the frequency of detention items based on multiple port state control inspection records; determine the annual ranking of high-frequency defect items and the ranking of detention items based on the frequency of defect items and the frequency of detention items; assign weights to the annual high-frequency defect items and detention items based on the annual ranking of high-frequency defect items and the ranking of detention items; and determine the first inspection item set based on the weights.

[0109] In this embodiment, the first processing module 810 is specifically used to first obtain multiple port state control inspection records obtained in the past year when port state control inspections were carried out on vessels of the same type as the vessel in the destination port, based on the first data; then, to statistically analyze the multiple port state control inspection records, calculate the frequency of defect items and the frequency of detention items; then, to determine the annual ranking of high-frequency defect items and the ranking of detention items based on the frequency of defect items and the frequency of detention items; then, to assign weights to the annual high-frequency defect items and detention items based on the rankings, specifically, the higher the ranking, the greater the weight assigned; finally, to determine the first inspection item set based on the weights, that is, to combine the annual high-frequency defect items and / or detention items with weights greater than the preset weights together, thereby forming the first inspection item set.

[0110] In some embodiments, optionally, the ship detention risk prediction system 80 further includes: a sending module, used to generate a self-inspection list based on a first inspection item set and send it to the ship and ship management company when the ship detention risk is high, so as to conduct a pre-arrival ship self-inspection.

[0111] In this embodiment, the ship detention risk prediction system 80 further includes a sending module. When the ship detention risk is determined to be high, the sending module generates a self-inspection checklist based on a first inspection item set, and then sends the checklist to the ship and the ship management company. This enables the ship to conduct its own inspections before undergoing port state control inspections, thereby avoiding ship detention and reducing the risk of ship detention.

[0112] In some embodiments, optionally, the first determining module 802 is specifically used to acquire data from the vessel's Automatic Identification System (AIS); and determine the port of destination and estimated arrival time based on the AIS data.

[0113] In this embodiment, the first determining module 802 is specifically used to acquire the ship's AIS (Automatic Identification System) data. The AIS system consists of shore-based (base station) facilities and shipboard equipment. The AIS system, in conjunction with the Global Positioning System (GPS), broadcasts dynamic information such as ship position, speed, rate of change of course, and course, along with static information such as ship name, call sign, draft, and dangerous goods, via VHF channels to nearby vessels and shore stations. This allows nearby vessels and shore stations to promptly grasp the dynamic and static information of all vessels in the vicinity, enabling immediate communication and coordination, and taking necessary evasive actions, greatly contributing to ship safety. Through relevant data processing technologies, the messages sent by the AIS equipment are parsed and integrated with geographic information technology. The parsed points can be displayed on a map, with each data point forming the ship's navigation trajectory. Simultaneously, the ship's destination port and estimated arrival time can be determined based on the messages sent by the ship's AIS, i.e., determining the ship's destination port and estimated arrival time based on AIS data. Furthermore, if the ship's AIS data is not available, the ship's voyage instructions can be obtained, and the ship's destination port and estimated arrival time can be determined based on the voyage instructions.

[0114] Figure 9 A schematic block diagram of an electronic device according to an embodiment of the present invention is shown; wherein, the electronic device 90 includes a memory 902, a processor 904, and a computer program stored in the memory 902 and executable on the processor 904, wherein the processor 904 executes the computer program to implement the steps of the method for predicting the risk of ship detention as described above.

[0115] The electronic device 90 provided by the present invention, when the processor 904 executes the computer program, implements the steps of the above-mentioned method for predicting the risk of ship detention, and can achieve the technical effects of any of the above embodiments, which will not be repeated here.

[0116] One embodiment of the present invention provides a storage medium on which a computer program is stored, which, when executed by a processor, implements the steps of the method for predicting the risk of ship detention as described above.

[0117] The storage medium provided by this invention, when the computer program is executed by a processor, implements the steps of the above-described method for predicting the risk of ship detention, and can achieve the technical effects of any of the above embodiments, which will not be repeated here.

[0118] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance, unless otherwise expressly specified and limited. The terms "connection," "installation," and "fixing," etc., should be interpreted broadly. For example, "connection" can mean a fixed connection, a detachable connection, or an integral connection; it can mean a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0119] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0120] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for predicting the risk of ship detention, characterized in that, include: Determine the vessel's port of destination and estimated arrival time; The port state control organization to which the port of destination belongs and the first data are determined based on the port of destination, wherein the first data corresponds to the port state control organization; Obtain the vessel's archive data; The historical port state control (PSC) inspection records of the vessel are determined based on the archival data, wherein the historical PSC inspection records correspond to the port state control organization. The vessel's risk of being detained is predicted based on the estimated arrival time, the historical port state control inspection records, the port state control organization, and the first data. The step of predicting the vessel's detention risk based on the estimated arrival time, the historical port state control inspection records, the port state control organization, and the first data includes: The historical inspection time of the most recent inspection of the vessel by the port state control organization is determined based on the historical port state control inspection records. The inspection cycle of the port state control organization is determined based on the first data; The inspection window period is determined based on the inspection cycle and the historical inspection time. Based on the fact that the estimated arrival time is not within the inspection window, the risk of the vessel being detained is determined to be low. The step of predicting the vessel's detention risk based on the estimated arrival time, the historical port state control inspection records, the port state control organization, and the first data further includes: Based on the estimated arrival time falling within the inspection window, the ship's defect items are determined according to the historical port state control inspection records. Based on the first data, obtain the ranking of the annual high-frequency defect items and demurrage items published by the port state control organization and assign weights to determine the first inspection item set; The ship defect items are matched with the first inspection item set to obtain the matching degree; The vessel's risk of being detained is predicted based on the matching degree; The first data includes the port state control organization's inspection cycle, all items to be inspected published by the port state control organization, and published high-frequency defect items and demurrage items.

2. The method for predicting ship detention risk according to claim 1, characterized in that, The step of predicting the vessel's detention risk based on the matching degree includes: When the matching degree is greater than or equal to a first preset threshold, the risk of the vessel being detained is determined to be high. When the matching degree is less than the first preset threshold, the ship's risk of being detained is determined to be medium risk.

3. The method for predicting ship detention risk according to claim 1, characterized in that, The step of obtaining the ranking of the annual high-frequency defect items and detention items published by the port state control organization based on the first data and assigning weights to determine the first inspection item set includes: Based on the first data, obtain the port state control inspection records of vessels of the same type as the vessel in the port of destination within the past year; The frequency of defective items and the frequency of detainees are calculated based on multiple port state control inspection records. The ranking of the high-frequency defective items and the ranking of the delayed items for the year are determined based on the frequency of the defective items and the frequency of the delayed items. The annual high-frequency defect items and the delayed items are assigned weights based on their rankings. The first set of inspection items is determined based on the weights.

4. The method for predicting ship detention risk according to claim 2, characterized in that, The method for predicting the risk of ship detention also includes: When the risk of vessel detention is deemed high, a self-inspection checklist is generated based on the first inspection item set and sent to the vessel and its management company for pre-arrival vessel self-inspection.

5. The method for predicting the risk of ship detention according to any one of claims 1 to 4, characterized in that, The steps for determining the vessel's port of destination and estimated arrival time include: Acquire data from the vessel's Automatic Identification System (AIS); The destination port and the estimated arrival time are determined based on data from the Automatic Identification System (AIS).

6. A system for predicting the risk of ship detention, characterized in that, include: The first determining module is used to determine the destination port and estimated arrival time of the vessel. The second determining module is used to determine the port state control organization to which the port of destination belongs and the first data based on the port of destination, wherein the first data corresponds to the port state control organization; The first acquisition module is used to acquire the archive data of the ship; The third determining module is used to determine the historical port state control inspection records of the vessel based on the archive data, wherein the historical port state control inspection records correspond to the port state control organization; The first processing module is used to predict the vessel's risk of being detained based on the estimated arrival time, the historical port state control inspection records, the port state control organization, and the first data. The first processing module is specifically used for: The historical inspection time of the most recent inspection of the vessel by the port state control organization is determined based on the historical port state control inspection records. The inspection cycle of the port state control organization is determined based on the first data; The inspection window period is determined based on the inspection cycle and the historical inspection time. Based on the fact that the estimated arrival time is not within the inspection window, the risk of the vessel being detained is determined to be low. The first processing module is further configured to: Based on the estimated arrival time falling within the inspection window, the ship's defect items are determined according to the historical port state control inspection records. Based on the first data, obtain the ranking of the annual high-frequency defect items and demurrage items published by the port state control organization and assign weights to determine the first inspection item set; The ship defect items are matched with the first inspection item set to obtain the matching degree; The vessel's risk of being detained is predicted based on the matching degree; The first data includes the port state control organization's inspection cycle, all items to be inspected published by the port state control organization, and published high-frequency defect items and demurrage items.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for predicting the risk of ship detention as described in any one of claims 1 to 5.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for predicting the risk of ship detention as described in any one of claims 1 to 5.

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