Method and system for recommending design scheme of ship-loaded tail buoyancy tank
By constructing a recommended model for the tail floating box design scheme, using ship characteristics and loading conditions, a highly adaptable floating box design scheme is generated, which solves the problem of single existing design schemes and improves loading efficiency and ship stability.
Patent Information
- Application Number
- CN202510343271.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2025-08-05
AI Technical Summary
The existing tail floating box design scheme fails to make full use of ship characteristics related data, resulting in a single design scheme and cannot adapt to multiple marine environments, affecting ship loading efficiency and ship stability.
A recommendation model for tail floating box design scheme is constructed, using ship characteristic parameters, peripheral loading condition characteristics and loading cargo characteristics, a highly adaptable floating box design scheme is generated through machine learning models, and optimized with the classifier of Fisher's criterion.
It improves the loading efficiency, enhances the stability and safety of the ship, and reduces the loading risk.
Smart Images
Figure CN120430141A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of ship pontoon management, and in particular relates to a method and system for recommending a design scheme for a stern pontoon of a ship. Background Art
[0002] The aft pontoon design significantly enhances a vessel's stability during navigation. This is particularly true during deep-sea oil and gas well drilling operations, where vessels must withstand the impact of large waves. The aft pontoon provides additional buoyancy, helping to maintain stability and reduce rolling caused by wind and waves, thereby ensuring the safety of the vessel and its equipment.
[0003] The aft pontoon is typically connected to the main body of the vessel via a hydraulic system, allowing it to be raised and lowered. This design allows the vessel to flexibly adjust its displacement based on changes in the marine environment. During deep-sea operations, adjusting the position and status of the aft pontoon allows for better adaptation to ocean conditions such as water depth and waves, ensuring stable operation.
[0004] The design of the stern pontoon can also help reduce the navigation cost of the ship. By reducing the resistance during navigation, energy consumption and fuel costs are reduced. In the long run, this is of great significance for saving costs and improving economic benefits. Especially in long-term operations such as deep-sea drilling, the design of the stern pontoon can significantly improve the ship's endurance and operating efficiency. However, the design of existing stern pontoons mostly adopts manual methods, and the use of data related to ship characteristics is still relatively simple. Only a small number of parameters are used for ship-related characteristics, or the parameters used are less correlated with the design of the ship's stern pontoon, and a design scheme that is more suitable for the corresponding pontoon scenario is not adopted, or the adopted design scheme is relatively simple, which is not conducive to the selection and recommendation of multiple options from multiple angles to adapt to the corresponding pontoon application environment.
[0005] Based on the above problems, the present invention designs a method and system for recommending a stern pontoon design scheme for loading. The present invention utilizes ship characteristic parameters, surrounding loading condition characteristics, loaded cargo characteristics, and corresponding multiple stern pontoon design schemes and corresponding pontoon design evaluation results to construct a stern pontoon design scheme recommendation model. The constructed stern pontoon design scheme recommendation model generates a to-be-recommended stern pontoon design scheme and a corresponding recommended pontoon design evaluation result based on the ship characteristic change parameters after loading, the surrounding real-time loading condition characteristics, and the characteristics of the cargo to be loaded collected by the ship terminal. Based on the to-be-recommended stern pontoon design scheme and the corresponding recommended pontoon design evaluation result, the loading personnel optimize and adopt the pontoon design scheme according to the situation. The present invention performs differentiated feature processing according to the actual situation of the ship and adopts an improved ship scenario optimization machine learning model. Therefore, the generated stern pontoon design scheme and evaluation result are highly accurate, which can quickly assist the loading personnel in adopting an appropriate stern pontoon design scheme, improve loading efficiency, enhance the stability and safety of the ship, and reduce loading risks. Summary of the Invention
[0006] In order to solve the above technical problems, the present invention proposes a method and system for recommending a design scheme for a stern pontoon for loading a ship.
[0007] In a first aspect of the present invention, a method for recommending a design scheme for a stern pontoon for a ship is proposed, wherein the method comprises:
[0008] Obtaining first ship characteristic parameters, first surrounding loading condition characteristics, and first loaded cargo characteristics of the loading ship, as well as a corresponding first stern pontoon design scheme and a corresponding first pontoon design evaluation result;
[0009] Obtaining a first stern pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic, and the first loaded cargo characteristic;
[0010] Obtaining a first tail pontoon evaluation characteristic value according to the first tail pontoon design scheme and the corresponding first pontoon design evaluation result;
[0011] Constructing a tail pontoon design solution recommendation model based on the first tail pontoon evaluation feature and the first tail pontoon evaluation feature value;
[0012] receiving second ship characteristic parameters, second surrounding loading condition characteristics, and second loaded cargo characteristics of a loading vessel, processing the second ship characteristic parameters, the second surrounding loading condition characteristics, and the second loaded cargo characteristics to obtain a second aft pontoon evaluation characteristic; processing the second aft pontoon evaluation characteristic by the aft pontoon design proposal recommendation model to generate a second aft pontoon evaluation characteristic value; obtaining a second aft pontoon design proposal and a corresponding second pontoon design evaluation result based on the second aft pontoon evaluation characteristic value; and the loading personnel adopting an appropriate aft pontoon design proposal based on the second aft pontoon design proposal.
[0013] Furthermore, the first ship characteristic parameter or the second ship characteristic parameter includes the ship draft, the ship loading mass and the ship loading space volume.
[0014] Furthermore, the first surrounding loading condition characteristic or the second surrounding loading condition characteristic includes the wind force level around the ship, the water temperature at the stern of the ship, the water temperature outside the stern of the ship, and the pH value of the ship's draft;
[0015] The first cargo loading characteristic or the second cargo loading characteristic is obtained based on cargo crashworthiness.
[0016] Furthermore, the first aft pontoon evaluation characteristic obtained by processing according to the first ship characteristic parameter, the first surrounding loading condition characteristic and the first loaded cargo characteristic, and the second aft pontoon evaluation characteristic obtained by processing according to the second ship characteristic parameter, the second surrounding loading condition characteristic and the second loaded cargo characteristic are obtained according to the aft pontoon characteristic importance coefficient.
[0017] Furthermore, the characteristic importance coefficient of the stern pontoon is obtained by the water temperature at the stern of the ship and the water temperature outside the stern of the ship.
[0018] Furthermore, the cargo crashworthiness K is obtained by the mass per unit area of the loaded cargo and the cracking tolerance index:
[0019] K=g×P
[0020] Where g is the mass per unit area of the loaded cargo, expressed in g / m 2 , P is the cracking resistance index, which refers to the maximum cracking pressure that a material can withstand per unit weight, and the unit is kPa·m 2 / g.
[0021] Furthermore, the ship characteristic parameter B F And the surrounding loading condition characteristic B C It is obtained by summing the eigenvalues of the corresponding parameters.
[0022] Furthermore, the first tail pontoon evaluation characteristic value is obtained by processing the first tail pontoon design scheme and the corresponding first pontoon design evaluation result, and is calculated based on the buoyancy value provided by the tail pontoon of the first tail pontoon design scheme, the stability score and the economic score of the first tail pontoon design scheme.
[0023] Furthermore, the tail pontoon design solution recommendation model adopts a pontoon design solution recommendation classifier based on the Fisher criterion, and the calculation formula is as follows:
[0024]
[0025] A is the first tail pontoon evaluation feature or the second tail pontoon evaluation feature, H(A) is the output first tail pontoon evaluation feature value or the second tail pontoon evaluation feature value, W T is the normal vector perpendicular to the hyperplane, u is the number of tail pontoon design options, k A To evaluate the correction factor.
[0026] A stern pontoon design scheme recommendation system for loading ships is also provided. The system includes a ship data acquisition module, a loading status data acquisition module, a ship data acquisition processing and storage module, a stern pontoon design scheme recommendation model construction module, and a stern pontoon design scheme recommendation module. The system is characterized in that:
[0027] The ship data acquisition module is used to acquire the first ship characteristic parameter or the second ship characteristic parameter of the loading ship;
[0028] The loading condition data acquisition module is used to collect the first surrounding loading condition characteristics and the first loaded cargo characteristics, and is also used to collect the second surrounding loading condition characteristics and the second loaded cargo characteristics;
[0029] The ship data collection processing and storage module is configured to receive the first ship characteristic parameter or the second ship characteristic parameter from the ship data collection module, the first surrounding loading condition characteristic and the first loaded cargo characteristic, the second surrounding loading condition characteristic and the second loaded cargo characteristic from the loading condition data collection module, and obtain a first aft pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic and the first loaded cargo characteristic; obtain a second aft pontoon evaluation characteristic based on the second ship characteristic parameter, the second surrounding loading condition characteristic and the second loaded cargo characteristic; store a first aft pontoon design scheme and a corresponding first pontoon design evaluation result, and obtain a first aft pontoon evaluation characteristic value based on the first aft pontoon design scheme and the corresponding first pontoon design evaluation result;
[0030] The tail pontoon design solution recommendation model construction module is configured to obtain the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value, and to construct a tail pontoon design solution recommendation model using the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value;
[0031] The stern pontoon design solution recommendation module receives the second stern pontoon evaluation feature, calls the stern pontoon design solution recommendation model to process the second stern pontoon evaluation feature to obtain a second stern pontoon evaluation feature value, obtains a second stern pontoon design solution and a corresponding second pontoon design evaluation result based on the second stern pontoon evaluation feature value, and the ship loading personnel obtains a recommended stern pontoon design solution from the second stern pontoon design solution.
[0032] The present invention utilizes ship characteristic parameters, surrounding loading condition characteristics and loaded cargo characteristics, and corresponding multiple stern pontoon design schemes and corresponding pontoon design evaluation results to construct a stern pontoon design scheme recommendation model. The constructed stern pontoon design scheme recommendation model generates a to-be-recommended stern pontoon design scheme and a corresponding recommended pontoon design evaluation result based on the ship characteristic change parameters after loading, the surrounding real-time loading condition characteristics and the characteristics of the cargo to be loaded collected by the ship terminal. Based on the to-be-recommended stern pontoon design scheme and the corresponding recommended pontoon design evaluation result, the loading personnel optimize and adopt the pontoon design scheme according to the situation. The present invention performs differentiated feature processing according to the actual situation of the ship, and adopts an improved ship scenario optimization machine learning model, so that the generated stern pontoon design scheme and evaluation result are highly accurate, which can quickly assist the loading personnel in adopting an appropriate stern pontoon design scheme, improve loading efficiency, enhance the stability and safety of the ship, and reduce loading risks. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 This is a flow chart of a recommended method for designing a tail pontoon for ship loading according to the present invention;
[0034] Figure 2 This is a schematic diagram of a recommended system structure for a tail pontoon design scheme for ship loading according to the present invention;
[0035] Figure 3 It is a schematic diagram of the ship situation in the present invention;
[0036] Figure 4 It is a schematic diagram of the buoyancy tank design scheme in an embodiment of the present invention. DETAILED DESCRIPTION
[0037] The invention is further described below with reference to the accompanying drawings and specific implementation methods.
[0038] The first embodiment of the present invention:
[0039] In order to solve the above technical problems, the present invention proposes a method for recommending a design scheme for a stern pontoon for loading a ship, characterized in that the method comprises:
[0040] Obtaining first ship characteristic parameters, first surrounding loading condition characteristics, and first loaded cargo characteristics of the loading ship, as well as a corresponding first stern pontoon design scheme and a corresponding first pontoon design evaluation result;
[0041] Obtaining a first stern pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic, and the first loaded cargo characteristic;
[0042] Obtaining a first tail pontoon evaluation characteristic value according to the first tail pontoon design scheme and the corresponding first pontoon design evaluation result;
[0043] Constructing a tail pontoon design solution recommendation model based on the first tail pontoon evaluation feature and the first tail pontoon evaluation feature value;
[0044] receiving a second ship characteristic parameter, a second surrounding loading condition characteristic, and a second loaded cargo characteristic of the loading vessel, processing the second ship characteristic parameter, the second surrounding loading condition characteristic, and the second loaded cargo characteristic to obtain a second stern pontoon evaluation characteristic, processing the second stern pontoon evaluation characteristic by the stern pontoon design proposal recommendation model to generate a second stern pontoon evaluation characteristic value, obtaining a second stern pontoon design proposal and a corresponding second pontoon design evaluation result based on the second stern pontoon evaluation characteristic value, and the loading personnel adopting an appropriate stern pontoon design proposal based on the second stern pontoon design proposal.
[0045] Furthermore, the first ship characteristic parameter or the second ship characteristic parameter includes the ship draft, the ship loading mass and the ship loading space volume.
[0046] Furthermore, the first surrounding loading condition characteristic or the second surrounding loading condition characteristic includes the wind force level around the ship, the water temperature at the stern of the ship, the water temperature outside the stern of the ship, and the pH value of the ship's draft;
[0047] The first cargo loading characteristic or the second cargo loading characteristic is obtained based on cargo crashworthiness.
[0048] Furthermore, the first aft pontoon evaluation characteristic obtained by processing the first ship characteristic parameter, the first surrounding loading condition characteristic, and the first loaded cargo characteristic, and the second aft pontoon evaluation characteristic obtained by processing the second ship characteristic parameter, the second surrounding loading condition characteristic, and the second loaded cargo characteristic are calculated based on the aft pontoon characteristic importance coefficient:
[0049] A T =(aBF , bB C , cB K )
[0050] Where a, b, c are the ship characteristic parameters B F 、Surrounding loading condition characteristics B C and loading characteristics B K The characteristic importance coefficient of the ship characteristic parameter B F The characteristic importance coefficient and loading cargo characteristics B K The sum of the feature importance coefficients is 1.
[0051] Furthermore, the characteristic importance coefficient of the stern pontoon is calculated by the water temperature at the stern of the ship and the water temperature outside the stern of the ship:
[0052]
[0053] Where a and c are the ship characteristic parameters, surrounding loading condition characteristics and loading cargo characteristics important coefficients, respectively. t is the water temperature at the stern of the ship, T e The water temperature outside the stern of the ship.
[0054] Furthermore, the cargo crashworthiness K is obtained by the mass per unit area of the loaded cargo and the cracking tolerance index:
[0055] K=g×P
[0056] Where g is the mass per unit area of the loaded cargo, expressed in g / m 2 , P is the cracking resistance index, which refers to the maximum cracking pressure that a material can withstand per unit weight, and the unit is kPa·m 2 / g.
[0057] Furthermore, the ship characteristic parameter B F And the surrounding loading condition characteristic B C It is obtained by summing the eigenvalues of the corresponding parameters.
[0058] Furthermore, the first tail pontoon evaluation characteristic value is obtained by processing the first tail pontoon design scheme and the corresponding first pontoon design evaluation result, and is calculated by the buoyancy value provided by the tail pontoon of the first tail pontoon design scheme, the stability score of the first tail pontoon design scheme, and the economic score:
[0059]
[0060] Where R F Evaluate the eigenvalue for the first tail box, F Wis the buoyancy value provided by the tail pontoon of the first tail pontoon design, S is the stability score of the first tail pontoon design, E n is the economic cost of the tail pontoon module n.
[0061] Furthermore, the tail pontoon design solution recommendation model adopts a pontoon design solution recommendation classifier based on the Fisher criterion, and the calculation formula is as follows:
[0062]
[0063] A is the first tail pontoon evaluation feature or the second tail pontoon evaluation feature, H(A) is the output first tail pontoon evaluation feature value or the second tail pontoon evaluation feature value, W T is the normal vector perpendicular to the hyperplane, u is the number of tail pontoon design options, k A For evaluation purposes, the correction factor can be 0.8.
[0064] A stern pontoon design scheme recommendation system for loading ships is also provided. The system includes a ship data acquisition module, a loading status data acquisition module, a ship data acquisition processing and storage module, a stern pontoon design scheme recommendation model construction module, and a stern pontoon design scheme recommendation module. The system is characterized in that:
[0065] The ship data acquisition module is used to acquire the first ship characteristic parameter or the second ship characteristic parameter of the loading ship;
[0066] The loading condition data acquisition module is used to collect the first surrounding loading condition characteristics and the first loaded cargo characteristics, and is also used to collect the second surrounding loading condition characteristics and the second loaded cargo characteristics;
[0067] The ship data collection processing and storage module is configured to receive the first ship characteristic parameter or the second ship characteristic parameter from the ship data collection module, the first surrounding loading condition characteristic and the first loaded cargo characteristic, the second surrounding loading condition characteristic and the second loaded cargo characteristic from the loading condition data collection module, and obtain a first aft pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic and the first loaded cargo characteristic; obtain a second aft pontoon evaluation characteristic based on the second ship characteristic parameter, the second surrounding loading condition characteristic and the second loaded cargo characteristic; store a first aft pontoon design scheme and a corresponding first pontoon design evaluation result, and obtain a first aft pontoon evaluation characteristic value based on the first aft pontoon design scheme and the corresponding first pontoon design evaluation result;
[0068] The tail pontoon design solution recommendation model construction module is configured to obtain the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value, and to construct a tail pontoon design solution recommendation model using the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value;
[0069] The stern pontoon design solution recommendation module receives the second stern pontoon evaluation feature, calls the stern pontoon design solution recommendation model to process the second stern pontoon evaluation feature to obtain a second stern pontoon evaluation feature value, obtains a second stern pontoon design solution and a corresponding second pontoon design evaluation result based on the second stern pontoon evaluation feature value, and the ship loading personnel obtains a recommended stern pontoon design solution from the second stern pontoon design solution.
[0070] The present invention utilizes ship characteristic parameters, surrounding loading condition characteristics and loaded cargo characteristics, and corresponding multiple stern pontoon design schemes and corresponding pontoon design evaluation results to construct a stern pontoon design scheme recommendation model. The constructed stern pontoon design scheme recommendation model generates a to-be-recommended stern pontoon design scheme and a corresponding recommended pontoon design evaluation result based on the ship characteristic change parameters after loading, the surrounding real-time loading condition characteristics and the characteristics of the cargo to be loaded collected by the ship terminal. Based on the to-be-recommended stern pontoon design scheme and the corresponding recommended pontoon design evaluation result, the loading personnel optimize and adopt the pontoon design scheme according to the situation. The present invention performs differentiated feature processing according to the actual situation of the ship, and adopts an improved ship scenario optimization machine learning model, so that the generated stern pontoon design scheme and evaluation result are highly accurate, which can quickly assist the loading personnel in adopting an appropriate stern pontoon design scheme, improve loading efficiency, enhance the stability and safety of the ship, and reduce loading risks.
[0071] The combination of multiple embodiments of the present invention can achieve all of the above-mentioned effects, but it is not required that every embodiment of the present invention achieve all of the above-mentioned advantages and effects, because each embodiment of the present invention can constitute an independent technical solution and make one or more contributions to the prior art.
Claims
1. A method for recommending a design scheme for a stern pontoon for loading a ship, characterized in that: The method comprises: Obtaining first ship characteristic parameters, first surrounding loading condition characteristics, and first loaded cargo characteristics of the loading ship, as well as a corresponding first stern pontoon design scheme and a corresponding first pontoon design evaluation result; Obtaining a first stern pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic, and the first loaded cargo characteristic; Obtaining a first tail pontoon evaluation characteristic value according to the first tail pontoon design scheme and the corresponding first pontoon design evaluation result; Constructing a tail pontoon design solution recommendation model based on the first tail pontoon evaluation feature and the first tail pontoon evaluation feature value; A second ship characteristic parameter, a second surrounding loading condition characteristic, and a second loaded cargo characteristic of the loading vessel are received; a second aft pontoon evaluation characteristic is obtained based on the second ship characteristic parameter, the second surrounding loading condition characteristic, and the second loaded cargo characteristic; the aft pontoon design proposal recommendation model processes the second aft pontoon evaluation characteristic to generate a second aft pontoon evaluation characteristic value; a second aft pontoon design proposal and a corresponding second pontoon design evaluation result are obtained based on the second aft pontoon evaluation characteristic value; and the loading personnel adopt the aft pontoon design proposal based on the second aft pontoon design proposal.
2. The method for recommending a design scheme for a stern pontoon for a ship as claimed in claim 1, wherein: The first ship characteristic parameter or the second ship characteristic parameter includes the ship draft, the ship loading mass and the ship loading space volume.
3. The method for recommending a design scheme for a stern pontoon for a ship as claimed in claim 1, characterized in that: The first surrounding loading condition characteristic or the second surrounding loading condition characteristic includes the wind force level around the ship, the water temperature at the stern of the ship, the water temperature outside the stern of the ship, and the pH value of the ship's draft; The first cargo loading characteristic or the second cargo loading characteristic is obtained based on cargo crashworthiness.
4. The method for recommending a design scheme for a stern pontoon for a ship as claimed in claim 1, wherein: The first aft pontoon evaluation characteristic obtained by processing the first ship characteristic parameter, the first surrounding loading condition characteristic and the first loaded cargo characteristic, and the second aft pontoon evaluation characteristic obtained by processing the second ship characteristic parameter, the second surrounding loading condition characteristic and the second loaded cargo characteristic are obtained according to the aft pontoon characteristic importance coefficient.
5. The method for recommending a design scheme for a stern pontoon for a ship as claimed in claim 4, characterized in that: The characteristic important coefficient of the stern pontoon is obtained by the water temperature at the stern of the ship and the water temperature outside the stern of the ship.
6. The method for recommending a design solution for a stern pontoon for a ship as claimed in claim 3, wherein: The cargo crashworthiness K is obtained by the mass per unit area of the loaded cargo and the cracking tolerance index: K=g×P Where g is the mass per unit area of the loaded cargo, expressed in g / m 2 , P is the cracking resistance index, which refers to the maximum cracking pressure that a material can withstand per unit weight, and the unit is kPa·m 2 / g.
7. The method for recommending a design scheme for a stern pontoon for a ship as claimed in claim 5, characterized in that: The ship characteristic parameter B F And the surrounding loading condition characteristic B C It is obtained by summing the eigenvalues of the corresponding parameters.
8. The method for recommending a design solution for a stern pontoon for a ship as claimed in claim 7, wherein: The first tail pontoon evaluation characteristic value is obtained by processing the first tail pontoon design scheme and the corresponding first pontoon design evaluation result, and is calculated based on the buoyancy value provided by the tail pontoon of the first tail pontoon design scheme, the stability score and the economic score of the first tail pontoon design scheme.
9. The method for recommending a design solution for a stern pontoon for a ship as claimed in claim 8, wherein: The tail pontoon design solution recommendation model adopts a pontoon design solution recommendation classifier based on the Fisher criterion, and the calculation formula is as follows: A is the first tail pontoon evaluation feature or the second tail pontoon evaluation feature, H(A) is the output first tail pontoon evaluation feature value or the second tail pontoon evaluation feature value, W T is the normal vector perpendicular to the hyperplane, u is the number of tail pontoon design options, k A To evaluate the correction factor.
10. A ship loading stern pontoon design solution recommendation system, comprising a ship data acquisition module, a loading status data acquisition module, a ship collected data processing and storage module, a stern pontoon design solution recommendation model construction module, and a stern pontoon design solution recommendation module, characterized in that: The ship data acquisition module is used to acquire the first ship characteristic parameter or the second ship characteristic parameter of the loading ship; The loading condition data acquisition module is used to collect the first surrounding loading condition characteristics and the first loaded cargo characteristics, and is also used to collect the second surrounding loading condition characteristics and the second loaded cargo characteristics; The ship data collection processing and storage module is configured to receive the first ship characteristic parameter or the second ship characteristic parameter from the ship data collection module, the first surrounding loading condition characteristic and the first loaded cargo characteristic, the second surrounding loading condition characteristic and the second loaded cargo characteristic from the loading condition data collection module, and obtain a first aft pontoon evaluation characteristic based on the first ship characteristic parameter, the first surrounding loading condition characteristic and the first loaded cargo characteristic; obtain a second aft pontoon evaluation characteristic based on the second ship characteristic parameter, the second surrounding loading condition characteristic and the second loaded cargo characteristic; store a first aft pontoon design scheme and a corresponding first pontoon design evaluation result, and obtain a first aft pontoon evaluation characteristic value based on the first aft pontoon design scheme and the corresponding first pontoon design evaluation result; The tail pontoon design solution recommendation model construction module is configured to obtain the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value, and to construct a tail pontoon design solution recommendation model using the first tail pontoon evaluation feature and the corresponding first tail pontoon evaluation feature value; The stern pontoon design solution recommendation module receives the second stern pontoon evaluation feature, calls the stern pontoon design solution recommendation model to process the second stern pontoon evaluation feature to obtain a second stern pontoon evaluation feature value, obtains a second stern pontoon design solution and a corresponding second pontoon design evaluation result based on the second stern pontoon evaluation feature value, and the ship loading personnel obtains a recommended stern pontoon design solution from the second stern pontoon design solution.