Intelligent construction method and system of ship structure based on AI large model

Abstract

This application belongs to the field of ship structure design technology and specifically discloses a method and system for intelligent construction of ship structures based on an AI large model. The method includes: obtaining ship structure design requirements; inputting the ship structure design requirements into a large model for ship structure design, obtaining a ship structure design plan output by the large model, and using the ship structure design plan to construct a ship structure that is compatible with the ship structure design requirements; wherein the large model for ship structure design is obtained by training a large model based on a professional knowledge base for ship structure design, the professional knowledge base for ship structure design includes a ship structure element dataset and a ship structure design specification library, the ship structure element dataset is constructed based on a sample of ship structure design plans and ship structure element data, and the ship structure element data is used to mark key features in the sample of ship structure design plans. This application enables intelligent design of ship structures.

Description

Technical Field

[0001] The present application belongs to the field of ship structure design technology, and more specifically, relates to a method and system for intelligently constructing ship structures based on an AI large model. Background Art

[0002] The traditional ship structure design industry faces the following challenges, which urgently need to be addressed to fully unleash the potential of ship design and manufacturing and meet practical needs: 1. Ship design is a complex, multidisciplinary system engineering project, involving multiple fields such as structures, hydrostatics, hydrodynamics, control theory, and system design. Traditional design processes fail to fully consider the interactions and integration between these disciplines. 2. The existing design process relies on traditional tools and methods, which limit design innovation and efficiency. 3. The ship design and construction specifications used as a reference for traditional ship structure design are difficult to apply to the design requirements of the next generation of ships. 4. As mission requirements change, ships may need to quickly adapt to new operating environments and missions. Traditional design processes may not account for this flexibility, resulting in large-scale modifications to meet new missions, increasing costs and time. 5. Due to the decentralized design process, multiple iterations may be required, which not only increases the workload but also potentially extends the design cycle and increases costs. How to achieve intelligent ship structure design is a technical issue that urgently needs to be addressed in this field. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this application is to realize the intelligent design of ship structure.

[0004] To achieve the above objectives, in a first aspect, the present application provides a method for intelligently constructing a ship structure based on an AI large model, the method comprising:

[0005] Obtain ship structure design requirements;

[0006] Input the ship structure design requirements into the ship structure design professional large model, obtain the ship structure design plan output by the ship structure design professional large model, and use the ship structure design plan to construct a ship structure that is compatible with the ship structure design requirements;

[0007] Among them, the big model of ship structure design is obtained by training a big language model (LLM, referred to as the big model) based on the ship structure design professional knowledge base. The ship structure design professional knowledge base includes a ship structure element data set and a ship structure design specification library. The ship structure element data set is based on ship structure design scheme samples (including electronic design drawings, technical documents, historical data (simulation data, measured data), etc.) and ship structure element data. The ship structure element data is used to mark the key features in the ship structure design scheme samples (to ensure that the big model can understand the structure of the design scheme samples and the functions of different parts in the samples). The ship structure design specification library is constructed based on the ship structure design specification knowledge.

[0008] It can be understood that during the model training stage, a ship structure element data set can be constructed based on the ship structure design scheme samples and ship structure element data. The ship structure design scheme samples can include electronic design drawings, technical documents, historical data (simulation data, measured data), etc. The ship structure element data is used to mark the key features in the ship structure design scheme samples, which can ensure that the large model can understand the structure of the design scheme samples and the functions of different parts of the samples during the training process. Based on the ship structure design specification knowledge, a ship structure design specification library can be constructed. The ship structure element data set and the ship structure design specification library are used to train the large model. The obtained ship structure design professional large model has the ability to construct ship structures, that is, the ability to generate ship structure design schemes that are consistent with the content of ship structure design requirements under the constraints of ship design specification knowledge. During the model application stage, by inputting the ship structure design requirements into the ship structure design professional large model, the ship structure design plan output by the ship structure design professional large model can be obtained. This design plan can assist designers to efficiently construct a ship structure that is compatible with the ship structure design requirements and realize intelligent ship structure design.

[0009] This section explains the ship structural design requirements, which refer to the specific requirements and standards for a particular ship type and purpose during the ship design process. These requirements cover aspects such as the ship's functionality, performance indicators, dimensions, material selection, load capacity, safety, and environmental adaptability.

[0010] For example, a ship structure design plan includes design documents and electronic design drawings. The design document is the textual description of the ship structure design plan, detailing the ship structure design process, principles, calculation basis, key design points, and related technical requirements. Electronic design drawings are an important component of the ship structure design plan. They are the visual representation of the design documents and include, but are not limited to, general arrangement drawings, structural arrangement drawings, detailed design drawings, and construction drawings.

[0011] This section provides an example of the process of generating electronic design drawings from a large model. A large model for ship structure design can extract key features from generated design documents, including but not limited to: hull shape, principal dimensions, hull frame form, the shapes, materials, and coordinates of the various components that make up the hull frame, as well as the connections between the components. The large model then uses these extracted key features to generate graphic elements (such as lines, shapes, and symbols, representing different parts of the ship structure), their coordinate positions, text annotations (including notes, dimensions, and material specifications), and the corresponding relationships between the text annotations and the graphic elements. The large model then invokes the API of the computer-aided design (CAD) software to draw various geometric shapes (such as lines, circles, and polygons) based on the graphic elements and their corresponding coordinate positions. Based on the text annotations and the corresponding relationships between the text annotations and the graphic elements, the large model can set properties (such as color, line type, and fill style) for the drawn graphic elements and add text annotations (such as dimensions) to the drawings, ultimately generating electronic design drawings.

[0012] In a possible implementation, the large model of ship structure design is obtained through the following steps:

[0013] Based on the ship structure design scheme samples, ship structure element data and ship design specification knowledge, question and answer pair samples are constructed. The question and answer pair samples are used to describe the ship structure design scheme that is consistent with the ship structure design requirements under the constraints of ship design specification knowledge.

[0014] Based on the question-answer pair samples, a large model is trained to obtain a professional large model for ship structure design.

[0015] Exemplarily, the question-answer pair sample includes a question part and an answer part. The question part is used to describe the content of the ship structure design requirements, and the answer part is used to adapt to the ship structure design plan under the constraints of ship design specification knowledge.

[0016] It is understandable that by using question-answer pair samples to train the large model, the professional large model of ship structure design obtained has the ability to construct ship structures, that is, the ability to generate ship structure design plans that are compatible with the content of ship structure design requirements under the constraints of ship design specification knowledge.

[0017] In a possible implementation, the method further includes:

[0018] Perform graphic recognition and text recognition on the drawing image to obtain graphic information and text information corresponding to the drawing image;

[0019] Based on the graphic information and text information corresponding to the drawing image, the CAD format data corresponding to the drawing image is obtained by calling the API of the CAD software;

[0020] Based on the preset verification configuration, the CAD format data corresponding to the drawing image is verified, and the CAD format data that passes the verification is used as the electronic design drawing corresponding to the drawing image;

[0021] Update the ship structure element dataset based on the electronic design drawings corresponding to the drawing images.

[0022] A drawing image is an image of a drawing. It can be an image captured by photographing a paper drawing. It can also be extracted from various electronic documents (e.g., a PDF document containing a drawing image).

[0023] Specifically, a machine learning model can be used to perform graphic recognition and text recognition on a drawing image to obtain the graphic information and text information corresponding to the drawing image. The graphic information includes graphic elements (such as lines, shapes, symbols, etc., which can represent different parts of the ship structure) and the coordinate positions of the graphic elements. The text information includes text annotation content (including notes, dimension annotations, material descriptions, etc.) and the corresponding relationship between the text annotation content and the graphic elements. Furthermore, based on the graphic information and text information corresponding to the drawing image, various geometric figures can be drawn according to the graphic elements and their corresponding coordinate positions by calling the CAD software API. Based on the text annotation content and the corresponding relationship between the text annotation content and the graphic elements, attributes can be set for the drawn graphic elements and text annotations can be added to the drawing, thereby obtaining the CAD format data corresponding to the drawing image. Furthermore, based on a preset verification configuration, the CAD format data corresponding to the drawing image can be verified to ensure that the generated CAD format data complies with the preset verification configuration. The verified CAD format data can then be used as the electronic design drawing corresponding to the drawing image, and the ship structure element dataset can be updated based on the electronic design drawing corresponding to the drawing image. As the sample size of the ship structure element dataset gradually increases, the large model can be fine-tuned and trained regularly to improve the accuracy of the large model output solution.

[0024] In a possible implementation, the ship structure design plan output by the ship structure design professional large model includes: design documents and electronic design drawings;

[0025] After obtaining the ship structure design plan output by the large model of the ship structure design major, it also includes:

[0026] Conduct simulation analysis on ship structures based on design documents and electronic design drawings to obtain ship structure simulation data;

[0027] Based on the ship structure design requirements and ship design specification knowledge, the ship structure simulation data is verified.

[0028] Specifically, a 3D simulation model of the ship structure can be constructed based on the acquired design documents and electronic design drawings. This model should accurately reflect every design detail, including the structural geometry, material properties, and boundary conditions. For example, a finite element model of the ship structure can be created based on the design documents and electronic design drawings using professional simulation software such as ANSYS or ABAQUS. This model accurately reflects the geometry, material properties, and boundary conditions of the actual ship structure. After constructing the simulation model, simulation parameters are set: Based on the technical requirements in the design documents, relevant simulation analysis parameters are set, including load conditions, environmental factors, material properties, and analysis type (e.g., static, dynamic, fatigue, etc.). Simulation calculations are then performed: The simulation software is run to calculate the ship structure model. This process may include multiple steps, such as meshing, solver settings, and calculation execution. Simulation data is then obtained: After the simulation calculations are completed, a series of simulation result data is output, including stress, strain, displacement, vibration frequency, fatigue life, and so on.

[0029] The verification process includes the following steps: (1) Data comparison: comparing the simulation data with the design requirements item by item to check whether there are any deviations; (2) Specification review: reviewing whether the simulation data meets the specified safety factor, material strength, structural stability and other requirements according to the ship design specifications.

[0030] In a possible implementation, after verifying the ship structure simulation data, the following steps are further included:

[0031] When the ship structure simulation data is verified and passed, the ship structure design plan is optimized according to the preset optimization goals based on the ship structure simulation data and ship structure design requirements and under the constraints of ship design specification knowledge.

[0032] Specifically, the process of optimizing the ship structure design scheme can be divided into the optimization preparation stage and the optimization execution stage.

[0033] The optimization preparation stage includes: (1) determining the optimization objective, (2) determining the design variables, (3) setting the constraints, and (4) selecting the optimization algorithm.

[0034] (1) Determine the optimization goal (objective function): According to the requirements of the ship structure design, clarify the optimization goal, which may include reducing the structure weight, improving the structure strength, reducing the manufacturing cost, improving the seakeeping performance, etc.

[0035] (2) Determine design variables: Select design parameters that have a greater impact on the ship's structural performance as optimization variables, such as material thickness, profile size, material type, structural layout, etc.

[0036] (3) Constraint setting: Based on the knowledge of ship design specifications, set the constraints in the optimization process, including structural strength, stability, fatigue life, safety standards, etc.

[0037] (4) Select an optimization algorithm: According to the characteristics of the optimization problem, select an appropriate optimization algorithm, such as genetic algorithm, particle swarm optimization, simulated annealing, gradient descent, etc.

[0038] The optimization execution phase includes: (1) establishing the optimization model, (2) initializing the design parameters, (3) iterative optimization, (4) evaluating the optimization results, and (5) verifying the results.

[0039] (1) Establish an optimization model: Build an optimization model based on the optimization objectives, design variables, and constraints.

[0040] (2) Initialize design parameters: Set initial values for design variables as the starting point for optimization iteration.

[0041] (3) Iterative optimization: Simulate and analyze the design scheme in each iterative step to obtain ship structure simulation data; evaluate the performance of the current design scheme based on the simulation results and calculate the objective function value; check whether the design scheme meets all constraints. If not, adjustments are required; update the values of the design variables according to the optimization algorithm and generate a new design scheme.

[0042] (4) Evaluation of optimization results: After each iteration, evaluate whether the optimization results have converged, that is, whether the objective function value meets the expectation or the improvement is less than the preset threshold.

[0043] (5) Result verification: Verify the final optimized design solution to ensure that it meets all design specifications and design requirements.

[0044] In a possible implementation, after optimizing the ship structure design scheme, the following steps are further included:

[0045] Based on the optimized ship structure design scheme, three-dimensional modeling is carried out to obtain a three-dimensional simulation model;

[0046] Based on the 3D simulation model, the 3D structure is visualized through visualization tools.

[0047] Specifically, 3D modeling software (such as AutoCAD and SolidWorks) can be used to create a 3D simulation model corresponding to the optimized ship structure design. Visualization tools (such as Unity and Blender) can then be used to display the appearance and content of the 3D simulation model. Performance data can also be combined with the 3D simulation model to demonstrate the ship's performance using charts, animations, and other methods.

[0048] In a second aspect, the present application provides a ship structure intelligent construction system based on an AI large model, the system comprising:

[0049] Design requirement acquisition module, used to obtain the design requirements of ship structures;

[0050] The design scheme generation module is used to input the ship structure design requirements into the ship structure design professional large model, obtain the ship structure design scheme output by the ship structure design professional large model, and the ship structure design scheme is used to construct a ship structure that is compatible with the ship structure design requirements;

[0051] Among them, the ship structure design professional big model is obtained based on the ship structure design professional knowledge base training big model. The ship structure design professional knowledge base includes the ship structure element data set and the ship structure design specification library. The ship structure element data set is constructed based on the ship structure design scheme sample and the ship structure element data. The ship structure element data is used to mark the key features in the ship structure design scheme sample. The ship structure design specification library is constructed based on the ship structure design specification knowledge.

[0052] In a possible implementation, the system further includes: a training module and an intelligent drawing recognition module;

[0053] The training module is used to:

[0054] Based on the ship structure design scheme samples, ship structure element data and ship design specification knowledge, question and answer pair samples are constructed. The question and answer pair samples are used to describe the ship structure design scheme that is consistent with the ship structure design requirements under the constraints of ship design specification knowledge.

[0055] Based on the question-answer pair samples, a large model is trained to obtain a professional large model for ship structure design;

[0056] The intelligent drawing recognition module is used to:

[0057] Perform graphic recognition and text recognition on the drawing image to obtain graphic information and text information corresponding to the drawing image;

[0058] Based on the graphic information and text information corresponding to the drawing image, the CAD format data corresponding to the drawing image is obtained by calling the API of the CAD software;

[0059] Based on the preset verification configuration, the CAD format data corresponding to the drawing image is verified, and the CAD format data that passes the verification is used as the electronic design drawing corresponding to the drawing image;

[0060] Update the ship structure element dataset based on the electronic design drawings corresponding to the drawing images.

[0061] In a possible implementation, the ship structure design scheme output by the ship structure design professional large model includes: design documents and electronic design drawings, and the system further includes: a ship structure data calculation and verification module and a design scheme intelligent optimization module;

[0062] The ship structure data calculation and verification module is used for:

[0063] Conduct simulation analysis on ship structures based on design documents and electronic design drawings to obtain ship structure simulation data;

[0064] Verify the ship structure simulation data based on the ship structure design requirements and ship design specification knowledge;

[0065] The intelligent design optimization module is used to:

[0066] When the ship structure simulation data is verified and passed, the ship structure design plan is optimized according to the preset optimization goals based on the ship structure simulation data and ship structure design requirements and under the constraints of ship design specification knowledge.

[0067] In a possible implementation, the system further includes a design solution intelligent display module for:

[0068] Based on the optimized ship structure design scheme, three-dimensional modeling is carried out to obtain a three-dimensional simulation model;

[0069] Based on the 3D simulation model, the 3D structure is visualized through visualization tools.

[0070] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the existing technologies:

[0071] During the model training phase, the ship structure element data set and the ship structure design specification library are used to train the large model. The obtained ship structure design professional large model has the ability to construct ship structures. During the model application phase, by inputting the ship structure design requirements into the ship structure design professional large model, the ship structure design scheme output by the ship structure design professional large model can be obtained. This design scheme can assist designers to efficiently construct a ship structure that is compatible with the ship structure design requirements and realize intelligent ship structure design. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 This is one of the flow charts of the method for intelligently constructing a ship structure based on an AI large model provided in an embodiment of the present application;

[0073] Figure 2 This is the second flow chart of the method for intelligently constructing a ship structure based on an AI large model provided in an embodiment of the present application;

[0074] Figure 3 It is a schematic diagram of the architecture of the intelligent auxiliary system for ship structure design provided in an embodiment of the present application. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0076] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0077] In the description of the embodiments of the present application, unless otherwise specified, "multiple" means two or more, for example, multiple processing units means two or more processing units, etc.; multiple elements means two or more elements, etc.

[0078] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.

[0079] Figure 1 This is one of the flow charts of the method for intelligently constructing a ship structure based on an AI large model provided in an embodiment of the present application, such as Figure 1 As shown, the method includes the following steps S101 and S102.

[0080] Step S101, obtaining ship structure design requirements;

[0081] Step S102: inputting the ship structure design requirements into the ship structure design professional large model, obtaining the ship structure design scheme output by the ship structure design professional large model, and using the ship structure design scheme to construct a ship structure that is compatible with the ship structure design requirements;

[0082] Among them, the big model of ship structure design is obtained by training a big language model (LLM, referred to as the big model) based on the ship structure design professional knowledge base. The ship structure design professional knowledge base includes a ship structure element data set and a ship structure design specification library. The ship structure element data set is based on ship structure design scheme samples (including electronic design drawings, technical documents, historical data (simulation data, measured data), etc.) and ship structure element data. The ship structure element data is used to mark the key features in the ship structure design scheme samples (to ensure that the big model can understand the structure of the design scheme samples and the functions of different parts in the samples). The ship structure design specification library is constructed based on the ship structure design specification knowledge.

[0083] It can be understood that in the model training stage, the ship structure element data set and the ship structure design specification library are used to train the large model, and the obtained ship structure design professional large model has the ability to construct ship structures. In the model application stage, by inputting the ship structure design requirements into the ship structure design professional large model, the ship structure design scheme output by the ship structure design professional large model can be obtained. The design scheme can assist designers to efficiently construct a ship structure that is compatible with the ship structure design requirements and realize the intelligent design of ship structures.

[0084] Figure 2 This is the second flow chart of the method for intelligently constructing a ship structure based on an AI large model provided in the embodiment of the present application, such as Figure 2 As shown, the method includes:

[0085] (1) Build a ship structure design professional knowledge base based on the AI big model (including a ship structure element data set and a ship structure design specification library) as a training knowledge base for the big model;

[0086] (2) Using AI to intelligently identify ship structure drawings and obtain a data set of ship structure elements;

[0087] (3) Carry out the selection, training and optimization of large AI models;

[0088] (4) Construct a ship structure data calculation and verification module to calculate and verify the design scheme given by the large model;

[0089] (5) Construct evaluation criteria and optimization strategies for ship structure design schemes, and intelligently optimize the design schemes given by the large model;

[0090] (6) Build intelligent 3D modeling display and technical document output functions to facilitate users to view design plans.

[0091] Figure 3 Schematic diagram of the intelligent auxiliary system architecture for ship structure design provided by the embodiment of the present application, such as Figure 3 As shown in the figure, the architecture of the intelligent auxiliary system for ship structure design mainly consists of the following seven modules: ship structure element data set, ship structure design specification library, intelligent drawing recognition module, AI large model, ship structure data calculation and verification module, design scheme intelligent optimization module, and design scheme intelligent display module.

[0092] (1) Ship structure element data set: The ship structure data set stores a variety of element data related to the ship structure, including ship performance parameters (overall size, tonnage, speed, seakeeping and seaworthiness, etc.) and hull structure parameters (hull shape, hull main dimensions, hull frame form, size, shape, position and mutual connection relationship of each component of the hull, etc.). By extracting the key features of the ship structure as ship structure element data and combining it with the common data structure of the large model, the ship structure element data set is obtained. This data set is used to store a large amount of ship structure element data to provide the AI large model with the input data and the expertise required for training the large model.

[0093] like Figure 3 As shown in Figure 2, the specific plan of the ship structure element dataset is as follows.

[0094] (1-1) Data collection: Collect existing ship structure design plans. The design plans can be design drawings, design documents, historical data (simulation data, measured data), etc. The design plans include but are not limited to hull size, material properties, power system, speed, displacement, etc.

[0095] (1-2) Data collation: Classify, clean and standardize the collected data to ensure its consistency and accuracy.

[0096] (1-3) Feature extraction: Identify the key features of the ship structure (ship structure element data), such as the hull shape, main dimensions of the hull, hull frame form, the shape, material, position coordinates of the various components that make up the hull frame, and the connection form between the components, and extract these features as labels for the data set.

[0097] (1-4) Dataset construction: Based on the extracted features, a structured dataset is constructed, which can be in tabular form or a more advanced data structure such as a knowledge graph.

[0098] (1-5) Dataset Verification: Verify the accuracy and practicality of the dataset through expert review or real-case testing.

[0099] (1-6) Dataset update: Establish a data update mechanism and regularly add new ship structure data to maintain the timeliness of the dataset.

[0100] (2) Ship structure design specification library: By collecting the contents of ship structure design specifications, a ship structure design specification library is constructed. The contents of the ship structure design specification library are organized and constructed in layers to meet the design needs of ships at different levels and categories. The specification library acts like a bookcase, storing the stored knowledge in different categories and formulating reasonable storage rules and retrieval methods to suit the call of the AI large model. It serves as a training knowledge base during large model training and as a professional knowledge base when the system is officially running to ensure the normal operation of the system.

[0101] like Figure 3 As shown in the figure, the specific plan of the ship structure design specification library is as follows.

[0102] (2-1) Knowledge collection: Collect specifications related to ship design, such as design standards, design principles, historical cases, etc.

[0103] (2-2) Knowledge organization: Classify and structure the collected knowledge to form a knowledge base that is easy to retrieve and apply.

[0104] (2-3) Knowledge representation: Using natural language processing technology, the knowledge in the knowledge base is converted into a machine-readable format, such as semantic networks, ontologies, etc.

[0105] (2-4) Knowledge base construction: Develop a knowledge base management system to support the storage, retrieval, updating and maintenance of knowledge.

[0106] (2-5) Knowledge base verification: Verify the accuracy and effectiveness of the knowledge base through designing case tests.

[0107] (2-6) Knowledge base application: Integrate the knowledge base with the ship structure element dataset as training material to train the large model of ship structure design.

[0108] (3) Intelligent drawing recognition module: This module uses intelligent image recognition and text recognition technology to intelligently identify the components, composition, and size information of the hull in the ship design drawings, and intelligently generate CAD design drawings. Applying the intelligent recognition technology of ship structure drawings, the existing ship structure drawings are intelligently recognized and verified, and the paper drawings are converted into electronic data, which are included in the ship structure element data set as the input data of the structural design large model. After calculation and optimization of the large model, a design solution that meets the requirements is obtained. The existing ship design drawings and technical data are huge in number, and the training of the large model requires sufficient training data. Therefore, with the help of intelligent drawing recognition technology, high recognition accuracy and fast recognition speed can be achieved.

[0109] The intelligent drawing recognition module primarily utilizes the following key technologies: (3-1) intelligent image recognition; (3-2) intelligent text recognition; (3-3) intelligent generation of CAD design drawings; and (3-4) intelligent assisted verification of CAD design drawings. This effectively combines ship design expertise with intelligent recognition technology to improve recognition accuracy and speed, leveraging its advantages of efficiency and intelligence.

[0110] (4) AI big model: The big model of ship structure design is the core of the system. Whether it can effectively realize the expected functions depends on the training effect of the big model. Therefore, by formulating a reasonable training plan and accumulating sufficient training data, we can ensure the effective training of the big model.

[0111] like Figure 3 As shown, the training plan for the AI large model is as follows.

[0112] (4-1) Technology selection: By analyzing the current large models in the field of artificial intelligence, such as Transformer and BERT, we select models suitable for ship structure design.

[0113] (4-2) Model training: The selected model is trained using the ship structure design professional knowledge base (including the ship structure element data set and the ship structure design specification library) to enable it to understand the ship structure design process and generate ship structure design plans.

[0114] (4-3) Model optimization: Through experiments and feedback, continuously adjust model parameters to improve the accuracy and efficiency of the model.

[0115] (4-4) System integration: Integrate the trained model into the ship structure optimization design process to achieve automated design.

[0116] (4-5) Model evaluation: Evaluate the performance of the model, including design quality, efficiency and innovation, through actual design cases such as actual ship design schemes.

[0117] (5) Ship structure data calculation and verification module: It mainly calculates and verifies the design results of the large model, eliminates the schemes that do not meet the technical requirements and design specifications, and provides a basis for subsequent scheme optimization.

[0118] like Figure 3 As shown in the figure, the construction scheme of the ship structure data calculation and verification module is as follows.

[0119] (5-1) Collect and organize relevant calculation methods: The calculation objects include ship structural strength (such as longitudinal strength, local strength, structural stability, etc.) and ship performance (such as speed, seakeeping and seaworthiness, etc.). Therefore, it is necessary to call the ship structure design code library to collect and organize relevant design codes;

[0120] (5-2) Develop a calculation and verification module for ship structure data, referring to the calculation methods and processes specified in the above documents;

[0121] (5-3) Develop interfaces for certain industry-wide calculation software, such as finite element structural analysis software, to facilitate the import of relevant data into industry-wide software for verification and calculation.

[0122] (6) Intelligent optimization module for design schemes: The ship design schemes obtained by large-scale model design may not necessarily meet the technical requirements, so further optimization is required. The key is to select reasonable optimization criteria and optimization strategies.

[0123] like Figure 3 As shown in Figure 6, the specific scheme of the design scheme intelligent optimization module is as follows: (6-1) Constructing ship structure design optimization criteria; (6-2) Constructing ship structure design optimization strategies; (6-3) Evaluating and optimizing design schemes: The ship structure design large model is designed according to the given requirements. The resulting schemes are calculated and analyzed by the data calculation and verification module. Schemes that do not meet the requirements are eliminated, and the remaining schemes are optimized according to the optimization strategy to obtain further optimized schemes.

[0124] (7) Design scheme intelligent display module: Using the electronic data of the ship structure generated by the ship structure drawing intelligent recognition module, or the technical scheme obtained by the large model design, the three-dimensional modeling of the ship structure is automatically performed, so that the technical scheme can be intuitively presented in the form of three-dimensional graphics.

[0125] The design scheme intelligent display module uses the following key technologies: 3D engine; 3D model intelligent reconstruction.

[0126] Specifically, 3D modeling software (such as AutoCAD and SolidWorks) can be used to create a 3D simulation model corresponding to the optimized ship structure design. Visualization tools (such as Unity and Blender) can then be used to display the appearance and content of the 3D simulation model. Performance data can also be combined with the 3D simulation model to demonstrate the ship's performance using charts, animations, and other methods.

[0127] It is easy for those skilled in the art to understand that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A method for intelligent construction of ship structure based on AI large model, characterized by: include: Obtain ship structure design requirements; Input the ship structure design requirements into the ship structure design professional large model, obtain the ship structure design plan output by the ship structure design professional large model, and use the ship structure design plan to construct a ship structure that is compatible with the ship structure design requirements; Among them, the ship structure design professional big model is obtained based on the ship structure design professional knowledge base training big model. The ship structure design professional knowledge base includes the ship structure element data set and the ship structure design specification library. The ship structure element data set is constructed based on the ship structure design scheme sample and the ship structure element data. The ship structure element data is used to mark the key features in the ship structure design scheme sample. The ship structure design specification library is constructed based on the ship structure design specification knowledge.

2. The method for intelligently constructing a ship structure based on an AI large model according to claim 1 is characterized in that: The ship structure design professional large model is obtained through the following steps: Based on the ship structure design scheme samples, ship structure element data and ship design specification knowledge, question and answer pair samples are constructed. The question and answer pair samples are used to describe the ship structure design scheme that is consistent with the ship structure design requirements under the constraints of ship design specification knowledge. Based on the question-answer pair samples, a large model is trained to obtain a professional large model for ship structure design.

3. The method for intelligently constructing a ship structure based on an AI large model according to claim 1 is characterized in that: Also includes: Perform graphic recognition and text recognition on the drawing image to obtain graphic information and text information corresponding to the drawing image; Based on the graphic information and text information corresponding to the drawing image, the CAD format data corresponding to the drawing image is obtained by calling the API of the CAD software; Based on the preset verification configuration, the CAD format data corresponding to the drawing image is verified, and the CAD format data that passes the verification is used as the electronic design drawing corresponding to the drawing image; Update the ship structure element dataset based on the electronic design drawings corresponding to the drawing images.

4. The method for intelligently constructing a ship structure based on an AI large model according to any one of claims 1 to 3, characterized in that: The ship structure design scheme output by the ship structure design professional large model includes: design documents and electronic design drawings; After obtaining the ship structure design plan output by the large model of the ship structure design major, it also includes: Conduct simulation analysis on ship structures based on design documents and electronic design drawings to obtain ship structure simulation data; Based on the ship structure design requirements and ship design specification knowledge, the ship structure simulation data is verified.

5. The method for intelligently constructing a ship structure based on an AI large model according to claim 4 is characterized in that: After verifying the ship structure simulation data, it also includes: When the ship structure simulation data is verified and passed, the ship structure design plan is optimized according to the preset optimization goals based on the ship structure simulation data and ship structure design requirements and under the constraints of ship design specification knowledge.

6. The method for intelligently constructing a ship structure based on an AI large model according to claim 5 is characterized in that: After optimizing the ship structure design, it also includes: Based on the optimized ship structure design scheme, three-dimensional modeling is carried out to obtain a three-dimensional simulation model; Based on the 3D simulation model, the 3D structure is visualized through visualization tools.

7. An intelligent ship structure construction system based on AI large model, characterized by: include: Design requirement acquisition module, used to obtain the design requirements of ship structures; The design scheme generation module is used to input the ship structure design requirements into the ship structure design professional large model, obtain the ship structure design scheme output by the ship structure design professional large model, and the ship structure design scheme is used to construct a ship structure that is compatible with the ship structure design requirements; Among them, the ship structure design professional big model is obtained based on the ship structure design professional knowledge base training big model. The ship structure design professional knowledge base includes the ship structure element data set and the ship structure design specification library. The ship structure element data set is constructed based on the ship structure design scheme sample and the ship structure element data. The ship structure element data is used to mark the key features in the ship structure design scheme sample. The ship structure design specification library is constructed based on the ship structure design specification knowledge.

8. The intelligent ship structure construction system based on AI large model according to claim 7 is characterized in that: Also includes: Training module and intelligent drawing recognition module; The training module is used to: Based on the ship structure design scheme samples, ship structure element data and ship design specification knowledge, question and answer pair samples are constructed. The question and answer pair samples are used to describe the ship structure design scheme that is consistent with the ship structure design requirements under the constraints of ship design specification knowledge. Based on the question-answer pair samples, a large model is trained to obtain a professional large model for ship structure design; The intelligent drawing recognition module is used to: Perform graphic recognition and text recognition on the drawing image to obtain graphic information and text information corresponding to the drawing image; Based on the graphic information and text information corresponding to the drawing image, the CAD format data corresponding to the drawing image is obtained by calling the API of the CAD software; Based on the preset verification configuration, the CAD format data corresponding to the drawing image is verified, and the CAD format data that passes the verification is used as the electronic design drawing corresponding to the drawing image; Update the ship structure element dataset based on the electronic design drawings corresponding to the drawing images.

9. The intelligent ship structure construction system based on AI large model according to claim 7 or 8 is characterized in that: The ship structure design scheme output by the ship structure design professional large model includes: design documents and electronic design drawings. The system also includes: a ship structure data calculation and verification module and a design scheme intelligent optimization module; The ship structure data calculation and verification module is used for: Conduct simulation analysis on ship structures based on design documents and electronic design drawings to obtain ship structure simulation data; Verify the ship structure simulation data based on the ship structure design requirements and ship design specification knowledge; The intelligent design optimization module is used to: When the ship structure simulation data is verified and passed, the ship structure design plan is optimized according to the preset optimization goals based on the ship structure simulation data and ship structure design requirements and under the constraints of ship design specification knowledge.

10. The intelligent ship structure construction system based on AI large model according to claim 9 is characterized in that: It also includes a design solution intelligent display module for: Based on the optimized ship structure design scheme, three-dimensional modeling is carried out to obtain a three-dimensional simulation model; Based on the 3D simulation model, the 3D structure is visualized through visualization tools.

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