Optimization method for intelligent mahogany furniture parameterization design

Abstract

The invention discloses an optimization method for intelligent mahogany furniture parameterization design. The optimization method comprises the following steps that an intelligent agent system is used for assisting personalized design; generating a 3D model according to the reference image; importing the 3D interactive model into a design system, and performing parameterized adjustment and tenon-and-mortise topology adaptive construction; furniture material determination is completed according to early-stage warehousing plates; and carrying out multi-target typesetting and design closed-loop feedback based on a genetic algorithm. Through the artificial intelligence technology, the mahogany furniture can keep the traditional charm, meanwhile, personalized design more conforming to ergonomics can be conducted according to specific data selection and demand input, and'people-oriented 'customization is truly achieved. The method solves the problem that the general software only changes the shape and does not change the structure, ensures that the internal structure always conforms to the traditional woodworking process specification no matter how the size is adjusted through the tenon-and-mortise topological adaptive technology, and ensures the intelligence and preciseness of the structural design.

Description

Technical Field

[0001] This invention belongs to the field of parametric design technology for mahogany furniture, and specifically relates to an optimization method for intelligent parametric design of mahogany furniture. Background Technology

[0002] Traditional rosewood furniture, as a carrier of traditional Chinese culture, has strict requirements regarding its shape, mortise and tenon joints, and material selection. It relies heavily on the experience of craftsmen and traditional diagrams. Therefore, traditional rosewood furniture production suffers from drawbacks such as high reliance on manual labor, long production cycles, high costs, low standardization, and a strong dependence on craftsmanship. These disadvantages are particularly pronounced when facing the growing market demand for personalized, small-batch customization.

[0003] Due to the characteristics of natural materials, mortise and tenon joints, small-batch production, and reliance on craftsmanship, the level of intelligent and parametric application in rosewood furniture is relatively low. Existing intelligent and parametric design methods for rosewood furniture have some problems in practical application, such as:

[0004] 1. Structural parameterization is challenging. Currently, common parameterization software (such as SolidWorks and Kujiale) is mainly designed for panel furniture, and its "stretch" function only changes the geometric appearance. However, in the manufacturing process of mahogany furniture, changes in dimensions may affect the requirements of internal mortise and tenon joints (such as dovetail joints and corner joints), so it is necessary to adapt the types and sizes of mortise and tenon joints accordingly.

[0005] 2. The application of algorithms is limited. Most existing digital software for mahogany furniture is based on "manual static modeling - digital production", lacking the ability of intelligent algorithms (such as genetic algorithms) to dynamically optimize the multi-objective system of "design parameters - material utilization - structural strength".

[0006] 3. Low degree of personalization: Existing mahogany furniture designs do not pay enough attention to ergonomics and have a low degree of personalization. At the same time, due to the natural nature of mahogany materials, the differences in their texture should also be taken into account when making personalized products.

[0007] Therefore, existing parametric design systems for whole-house customization utilize digital technologies and modular assembly to customize panel furniture. However, they cannot handle the complex mortise and tenon structure variations in mahogany furniture, nor can they apply reverse design constraints based on the actual grain of solid wood panels and the ergonomic needs of users. Summary of the Invention

[0008] The purpose of this invention is to provide an optimization method for intelligent parametric design of rosewood furniture, thereby solving the problems mentioned in the background section. The intelligent parametric design optimization method for rosewood furniture provided by this invention enables efficient, flexible, and intelligent manufacturing of rosewood furniture, fundamentally improving product quality, design efficiency, and personalized customization capabilities.

[0009] To achieve the above objectives, the present invention provides the following technical solution: an optimization method for intelligent parametric design of mahogany furniture, comprising the following steps:

[0010] S1. Use an intelligent agent system (AI Agent) to assist in personalized design: Input relevant information about mahogany furniture to train the intelligent agent system. Users can talk to it, clarify their needs for customized furniture under the guidance of AI, and generate the final reference image according to the instructions.

[0011] S2. Generate a 3D model based on the reference image: Generate a 3D interactive model from the final reference image, allowing users to view the furniture model from 360 degrees.

[0012] S3. Import the 3D interactive model into the design system and perform parametric adjustments and mortise and tenon topology adaptive construction: Transfer the 3D interactive model generated in S2 into the parametric design software and perform parametric standardization processing for subsequent digital processing customization.

[0013] S4. Determine the furniture material based on the previously stocked boards: Based on the furniture model, independently select the mahogany boards that have been stocked, choosing them in terms of color and pattern. After determining the materials, process the material texture and make replacement selections in the design system.

[0014] S5. Multi-objective layout and design closed-loop feedback based on genetic algorithm: The furniture model completed in S4 is disassembled into parts, and the genetic algorithm is used for iterative calculation. The design parameters are fine-tuned within the allowable design tolerance range. The optimal design scheme is automatically searched with the objective functions of "maximizing material utilization", "maximizing texture aesthetics" and "avoiding defects".

[0015] In this invention, further, in S1, the intelligent agent system assists in personalized design, including the following steps:

[0016] S11. Construction and Model Training of Rosewood Furniture Knowledge Base: By collecting a massive amount of classic rosewood furniture styles, mortise and tenon structure diagrams, wood texture materials, and rosewood furniture knowledge texts, a multimodal industry vertical library is constructed. Using deep learning technology, the general large model is fine-tuned to enable it to have professional appreciation and design capabilities in the field of rosewood furniture, deeply understand the different styles, designs, and materials of rosewood furniture, and ensure that the AI-generated solutions conform to the logic of rosewood craftsmanship and aesthetic standards.

[0017] S12. Intelligent Interaction Guidance and Precise Needs Analysis: Deploy an intelligent dialogue interface based on Natural Language Processing (NLP). The intelligent agent system acts as a "digital design consultant." During user interaction, the intelligent agent system adopts a guided questioning strategy to gradually clarify the type of furniture, usage scenarios, size, usage preferences, and budget range. At the same time, it uses semantic analysis algorithms to capture users' vague descriptions of styles (such as "rustic" and "new Chinese style") and transforms them into image-based references to guide users to clarify their specific furniture style preferences.

[0018] S13. AIGC (Artificial Intelligence Generated Content) Assisted Design and Reference Drawing Iterative Generation: Based on user requirements parameters, AIGC is invoked to quickly generate multiple schemes of mahogany furniture reference drawings. The intelligent agent system supports real-time modification and iteration. Users can fine-tune the scheme through text input or sketch controlnet. Finally, the intelligent agent system not only generates the three-view drawings of the appearance, but also simultaneously outputs a design specification including material suggestions, approximate dimensions and structure, providing accurate visual and data blueprints for subsequent detailed design and production.

[0019] In this invention, further, in S2, generating a 3D model from the reference image includes the following steps:

[0020] S21. Based on AI, perform three-dimensional geometric reconstruction of the three views. Using advanced computer vision and depth estimation algorithms, analyze the spatial structure of the three views of the mahogany furniture generated in S1, and convert the image data into a high-precision digital geometric model to ensure that the model scale is highly consistent with the reference image.

[0021] S22. Lightweight interactive display: The generated 3D model is lightweighted and, through WebGL technology, users can directly rotate, scale, and translate the model 360 degrees on a webpage or mobile device, thereby achieving an immersive preview experience of "what you see is what you get" and providing an intuitive basis for the final version.

[0022] Furthermore, in S3, when adjusting the furniture size, the mortise and tenon logic database is called, and the type, quantity and size of the mortise and tenon are automatically judged and adjusted according to the wood structure design specifications to ensure that the generated 3D model has manufacturability and stability in terms of structural technology.

[0023] In this invention, further, in S3, the 3D interactive model is imported into the design system and parametrically adjusted and mortise and tenon topology adaptively constructed, including the following steps:

[0024] S31. Design system adjustment: Import the 3D model generated in S2 into the design system, manually adjust and parametrically process it, and establish a fully variable-driven parametric model framework. Define the dimensions of the furniture as adjustable mathematical variables, which allows users or designers to input precise values ​​for the length, width, height and board thickness of the furniture.

[0025] S32, intelligent matching and adaptive structure generation of mortise and tenon joints, deeply integrates the knowledge base of mahogany mortise and tenon joint experts and structural mechanics algorithms. Based on the connection position and force direction of the components, it intelligently matches the most suitable mortise and tenon joint type (such as dovetail mortise, corner mortise, dovetail mortise, etc.). When the furniture size changes and the component specifications change, the algorithm will recalculate and dynamically adjust the mortise and tenon joint topology to ensure that the design scheme is structurally stable and reliable and fully complies with the CNC machining (CAM) standard in terms of process.

[0026] In this invention, step S4, determining the furniture material based on the previously stocked boards, includes the following steps:

[0027] S41. Digital material selection and intelligent screening: Based on the precise geometric dimensions (length, width, and thickness) of each component in the parametric model generated in S3, the design system automatically retrieves and filters a list of available raw boards that meet the specifications in the database, thereby reducing the time spent manually searching for and verifying materials. Users can also search for and select specific boards through multi-dimensional screening conditions (such as color depth, texture type, etc.).

[0028] S42. Realistic board material virtual texture: The selected raw board material is "textured" onto the surface of the corresponding part of the 3D model, allowing users to intuitively preview the actual appearance of wood on finished furniture. It also supports one-click replacement of different boards for effect comparison and finally locks a unique material ID to generate a definite material selection list for subsequent processing.

[0029] Furthermore, in S5 of this invention, if an abnormality occurs in the processing stage, the production equipment will feed back the error code to the design system in real time. After the designer makes adjustments and confirms, the design system will automatically update the BOM and processing instructions to achieve response and closed-loop iteration from design to production.

[0030] In this invention, further, in S5, the multi-objective typesetting and design closed-loop feedback based on genetic algorithms includes the following steps:

[0031] S51. Intelligent component disassembly and processing constraint definition: The design system automatically parses the finalized model and accurately disassembles it into component units for digital processing. At the same time, based on the process specifications of mahogany furniture and the size data of furniture components, it automatically generates a processing constraint configuration file.

[0032] S52, data-driven closed-loop feedback, establishes a two-way data channel between the design end (CAD) and the production end (CAM).

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] 1. This invention uses artificial intelligence technology to enable mahogany furniture to retain its traditional charm while allowing for more ergonomic and personalized design based on specific data selection and demand input, truly achieving "people-oriented" customization.

[0035] 2. This invention solves the problem of general software "changing appearance but not structure". Through mortise and tenon topology adaptive technology, it ensures that no matter how the size is adjusted, the internal structure always conforms to the traditional woodworking process specifications, avoiding the embarrassment of "the design drawings look good, but the factory can't make it", and ensuring the intelligence and rigor of the structural design.

[0036] 3. This invention utilizes a genetic algorithm to directly link design parameters with stockpiled boards. The design system no longer rigidly cuts the boards, but intelligently fine-tunes the design dimensions to save materials and avoid knots. For expensive mahogany materials, this can significantly reduce waste rate, improve economic efficiency, and achieve ultimate optimization of material costs.

[0037] 4. This invention combines 3D modeling technology to provide an intuitive preview. Designers do not need to repeatedly modify drawings and calculate dimensions. The design system automatically completes the entire process from "data input" to "processing drawings", which greatly shortens the design cycle and ensures the efficiency and intuitiveness of the design. Attached Figure Description

[0038] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] In the description of this invention, unless otherwise explicitly specified and limited, the terms "connected," "linked," and "fixed" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0041] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0042] In the description of this invention, the terms "upper," "lower," "right," and "left," etc., refer to the orientation or positional relationship shown in the accompanying drawings. They are used only for ease of description and simplification of operation, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first" and "second" are used merely for distinction in description and have no special meaning.

[0043] Example 1

[0044] Please see Figure 1 This embodiment provides the following technical solution: an optimization method for intelligent parametric design of mahogany furniture, comprising the following steps:

[0045] S1. Use an intelligent agent system (AI Agent) to assist in personalized design: Input relevant information about mahogany furniture to train the intelligent agent system. Users can talk to it, clarify their needs for customized furniture under the guidance of AI, and generate the final reference image according to the instructions.

[0046] S2. Generate a 3D model based on the reference image: Generate a 3D interactive model from the final reference image, allowing users to view the furniture model from 360 degrees.

[0047] S3. Import the 3D interactive model into the design system and perform parametric adjustments and mortise and tenon topology adaptive construction: Transfer the 3D interactive model generated in S2 into the parametric design software and perform parametric standardization processing for subsequent digital processing customization.

[0048] S4. Determine the furniture material based on the previously stocked boards: Based on the furniture model, independently select the mahogany boards that have been stocked, choosing them in terms of color and pattern. After determining the materials, process the material texture and make replacement selections in the design system.

[0049] S5. Multi-objective layout and design closed-loop feedback based on genetic algorithm: The furniture model completed in S4 is disassembled into parts, and the genetic algorithm is used for iterative calculation. The design parameters are fine-tuned within the allowable design tolerance range. The optimal design scheme is automatically searched with the objective functions of "maximizing material utilization", "maximizing texture aesthetics" and "avoiding defects".

[0050] Specifically, in S1, the intelligent agent system assists in personalized design, including the following steps:

[0051] S11. Construction and Model Training of Rosewood Furniture Knowledge Base: By collecting a massive amount of classic rosewood furniture styles, mortise and tenon structure diagrams, wood texture materials, and rosewood furniture knowledge texts, a multimodal industry vertical library is constructed. Using deep learning technology, the general large model is fine-tuned to enable it to have professional appreciation and design capabilities in the field of rosewood furniture, deeply understand the different styles, designs, and materials of rosewood furniture, and ensure that the AI-generated solutions conform to the logic of rosewood craftsmanship and aesthetic standards.

[0052] S12. Intelligent Interaction Guidance and Precise Needs Analysis: Deploy an intelligent dialogue interface based on Natural Language Processing (NLP). The intelligent agent system acts as a "digital design consultant." During user interaction, the intelligent agent system adopts a guided questioning strategy to gradually clarify the type of furniture, usage scenarios, size, usage preferences, and budget range. At the same time, it uses semantic analysis algorithms to capture users' vague descriptions of styles (such as "rustic" and "new Chinese style") and transforms them into image-based references to guide users to clarify their specific furniture style preferences.

[0053] S13. AIGC (Artificial Intelligence Generated Content) Assisted Design and Reference Drawing Iterative Generation: Based on user requirements parameters, AIGC is invoked to quickly generate multiple schemes of mahogany furniture reference drawings. The intelligent agent system supports real-time modification and iteration. Users can fine-tune the scheme through text input or sketch controlnet. Finally, the intelligent agent system not only generates the three-view drawings of the appearance, but also simultaneously outputs a design specification including material suggestions, approximate dimensions and structure, providing accurate visual and data blueprints for subsequent detailed design and production.

[0054] Specifically, in S2, generating a 3D model from the reference image includes the following steps:

[0055] S21. Based on AI, perform three-dimensional geometric reconstruction of the three views. Using advanced computer vision and depth estimation algorithms, analyze the spatial structure of the three views of the mahogany furniture generated in S1, and convert the image data into a high-precision digital geometric model to ensure that the model scale is highly consistent with the reference image.

[0056] S22. Lightweight interactive display: The generated 3D model is lightweighted and, through WebGL technology, users can directly rotate, scale, and translate the model 360 degrees on a webpage or mobile device, thereby achieving an immersive preview experience of "what you see is what you get" and providing an intuitive basis for the final version.

[0057] Specifically, in S3, when adjusting furniture dimensions, the mortise and tenon logic database is called. Based on the wood structure design specifications, the type, quantity, and size of the mortise and tenon are automatically determined and adjusted to ensure that the generated 3D model has manufacturability and stability in terms of structural technology.

[0058] Specifically, in S3, importing the 3D interactive model into the design system and performing parametric adjustments and adaptive mortise and tenon topology construction includes the following steps:

[0059] S31. Design system adjustment: Import the 3D model generated in S2 into the design system, manually adjust and parametrically process it, and establish a fully variable-driven parametric model framework. Define the dimensions of the furniture as adjustable mathematical variables, which allows users or designers to input precise values ​​for the length, width, height and board thickness of the furniture.

[0060] S32, intelligent matching and adaptive structure generation of mortise and tenon joints, deeply integrates the knowledge base of mahogany mortise and tenon joint experts and structural mechanics algorithms. Based on the connection position and force direction of the components, it intelligently matches the most suitable mortise and tenon joint type (such as dovetail mortise, corner mortise, dovetail mortise, etc.). When the furniture size changes and the component specifications change, the algorithm will recalculate and dynamically adjust the mortise and tenon joint topology to ensure that the design scheme is structurally stable and reliable and fully complies with the CNC machining (CAM) standard in terms of process.

[0061] Example 2

[0062] The difference between this embodiment and embodiment 1 is that, specifically, in S4, the furniture material is determined based on the previously stocked boards, including the following steps:

[0063] S41. Digital material selection and intelligent screening: Based on the precise geometric dimensions (length, width, and thickness) of each component in the parametric model generated in S3, the design system automatically retrieves and filters a list of available raw boards that meet the specifications in the database, thereby reducing the time spent manually searching for and verifying materials. Users can also search for and select specific boards through multi-dimensional screening conditions (such as color depth, texture type, etc.).

[0064] S42. Realistic board material virtual texture: The selected raw board material is "textured" onto the surface of the corresponding part of the 3D model, allowing users to intuitively preview the actual appearance of wood on finished furniture. It also supports one-click replacement of different boards for effect comparison and finally locks a unique material ID to generate a definite material selection list for subsequent processing.

[0065] Example 3

[0066] The difference between this embodiment and embodiment 1 is that, specifically, in S5, if an abnormality occurs in the processing stage, the production equipment will send the error code to the design system in real time. After the designer makes adjustments and confirms, the design system will automatically update the BOM and processing instructions to achieve response and closed-loop iteration from design to production.

[0067] Specifically, in S5, the multi-objective typesetting and design closed-loop feedback based on genetic algorithms includes the following steps:

[0068] S51. Intelligent component disassembly and processing constraint definition: The design system automatically parses the finalized model and accurately disassembles it into component units for digital processing. At the same time, based on the process specifications of mahogany furniture and the size data of furniture components, it automatically generates a processing constraint configuration file.

[0069] S52, data-driven closed-loop feedback, establishes a two-way data channel between the design end (CAD) and the production end (CAM).

[0070] In summary, this invention, through artificial intelligence technology, enables mahogany furniture to retain its traditional charm while allowing for more ergonomic and personalized design based on specific data selection and user needs, truly achieving "people-oriented" customization. This invention solves the problem of general-purpose software "changing the appearance but not the structure." Through mortise and tenon topology adaptive technology, it ensures that regardless of size adjustments, the internal structure always conforms to traditional woodworking specifications, avoiding the embarrassment of "beautiful designs but inability to be manufactured in the factory," thus guaranteeing the intelligence and rigor of the structural design. This invention utilizes a genetic algorithm to directly link design parameters with stocked boards. The design system no longer rigidly cuts but intelligently fine-tunes design dimensions to save materials and avoid knots. For expensive mahogany materials, this significantly reduces waste rates, improves economic efficiency, and achieves ultimate optimization of material costs. This invention combines 3D modeling technology to provide intuitive previews. Designers no longer need to repeatedly modify drawings and calculate dimensions; the design system automatically completes the entire process from "data input" to "processing drawings," greatly shortening the design cycle and ensuring design efficiency and intuitiveness.

[0071] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An optimization method for intelligent parametric design of rosewood furniture, characterized in that, Includes the following steps: S1. Use an intelligent agent system to assist in personalized design: Input relevant information about mahogany furniture to train the intelligent agent system. Users can talk to it, clarify their needs for customized furniture under the guidance of AI, and generate the final reference image according to the instructions. S2. Generate a 3D model based on the reference image: Generate a 3D interactive model from the final reference image, allowing users to view the furniture model from 360 degrees. S3. Import the 3D interactive model into the design system and perform parametric adjustments and mortise and tenon topology adaptive construction: Transfer the 3D interactive model generated in S2 into the parametric design software and perform parametric standardization processing for subsequent digital processing customization. S4. Determine the furniture material based on the previously stocked boards: Based on the furniture model, independently select the mahogany boards that have been stocked, choosing them in terms of color and pattern. After determining the materials, process the material texture and make replacement selections in the design system. S5. Multi-objective layout and design closed-loop feedback based on genetic algorithm: The furniture model completed in S4 is disassembled into parts, and the genetic algorithm is used for iterative calculation. The design parameters are fine-tuned within the allowable design tolerance range. The optimal design scheme is automatically searched with the objective functions of "maximizing material utilization", "maximizing texture aesthetics" and "avoiding defects".

2. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In step S1, the intelligent agent system assists in personalized design, including the following steps: S11. Construction and Model Training of Rosewood Furniture Knowledge Base: By collecting a massive amount of classic rosewood furniture styles, mortise and tenon structure diagrams, wood texture materials, and rosewood furniture knowledge texts, a multimodal industry vertical library is constructed. Using deep learning technology, the general large model is fine-tuned to enable it to have professional appreciation and design capabilities in the field of rosewood furniture, deeply understand the different styles, designs, and materials of rosewood furniture, and ensure that the AI-generated solutions conform to the logic of rosewood craftsmanship and aesthetic standards. S12. Intelligent interactive guidance and precise demand analysis: Deploy an intelligent dialogue interface based on natural language processing. The intelligent agent system acts as a "digital design consultant". During user interaction, the intelligent agent system adopts a guided questioning strategy to gradually clarify the type of furniture, usage scenarios, size, usage preferences and budget range. At the same time, it uses semantic analysis algorithms to capture the user's vague description of style and transform it into image-based references to guide the user to clarify specific furniture style preferences. S13, AIGC-assisted design and reference drawing iteration generation: Based on user requirements parameters, AIGC is invoked to quickly generate multiple schemes of mahogany furniture reference drawings. The intelligent agent system supports real-time modification and iteration. Users can fine-tune the scheme through text input or sketch controlnet. Finally, the intelligent agent system not only generates the three-view drawings of the appearance, but also simultaneously outputs a design specification including material suggestions, approximate dimensions and structure, providing accurate visual and data blueprints for subsequent detailed design and production.

3. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In step S2, generating a 3D model from the reference image includes the following steps: S21. Based on AI, perform three-dimensional geometric reconstruction of the three views. Using advanced computer vision and depth estimation algorithms, analyze the spatial structure of the three views of the mahogany furniture generated in S1, and convert the image data into a high-precision digital geometric model to ensure that the model scale is highly consistent with the reference image. S22. Lightweight interactive display: The generated 3D model is lightweighted and, through WebGL technology, users can directly rotate, scale, and translate the model 360 degrees on a webpage or mobile device, thereby achieving an immersive preview experience of "what you see is what you get" and providing an intuitive basis for the final version.

4. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In S3, when adjusting the size of the furniture, the mortise and tenon logic database is called. According to the wood structure design specifications, the type, quantity and size of the mortise and tenon are automatically judged and adjusted to ensure that the generated 3D model has the manufacturability and stability in terms of structural technology.

5. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In step S3, the 3D interactive model is imported into the design system, and parametric adjustments and adaptive mortise and tenon topology construction are performed, including the following steps: S31. Design system adjustment: Import the 3D model generated in S2 into the design system, manually adjust and parametrically process it, and establish a fully variable-driven parametric model framework. Define the dimensions of the furniture as adjustable mathematical variables, which allows users or designers to input precise values ​​for the length, width, height and board thickness of the furniture. S32, intelligent matching and adaptive structure generation of mortise and tenon joints, deeply integrates the knowledge base of mahogany mortise and tenon joint experts and structural mechanics algorithms. Based on the connection position and force direction of the components, it intelligently matches the most suitable mortise and tenon type. When the furniture size changes and the component specifications change, the algorithm will recalculate and dynamically adjust the mortise and tenon topology to ensure that the design scheme is structurally stable and reliable and fully complies with CNC machining standards in terms of process.

6. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In step S4, the furniture material is determined based on the previously stocked boards, including the following steps: S41. Digital material selection and intelligent screening: Based on the precise geometric dimensions of each component in the parametric model generated in S3, the design system automatically retrieves and filters a list of available raw boards that meet the specifications in the database, thereby reducing the time spent manually searching for and verifying materials. Users can also search for and select specific boards through multi-dimensional filtering conditions. S42. Realistic board material virtual texture: The selected raw board material is "textured" onto the surface of the corresponding part of the 3D model, allowing users to intuitively preview the actual appearance of wood on the finished furniture. It also supports one-click replacement of different boards for effect comparison and finally locks a unique material ID to generate a definite material selection list for subsequent processing.

7. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In S5, if an abnormality occurs in the processing stage, the production equipment will send the error code to the design system in real time. After the designer makes adjustments and confirms, the design system will automatically update the BOM and processing instructions to achieve response and closed-loop iteration from design to production.

8. The optimization method for intelligent parametric design of mahogany furniture according to claim 1, characterized in that: In step S5, the multi-objective typesetting and design closed-loop feedback based on genetic algorithms includes the following steps: S51. Intelligent component disassembly and processing constraint definition: The design system automatically parses the finalized model and accurately disassembles it into component units for digital processing. At the same time, based on the process specifications of mahogany furniture and the size data of furniture components, it automatically generates a processing constraint configuration file. S52, data-driven closed-loop feedback, establishing a two-way data channel between the design and production ends.

Images