Platform for generating model design by stepwise selection

The model design generation platform facilitates stepwise component selection and AI-assisted verification, addressing design errors by enabling virtual creation and modification of product designs.

WO2026110974A1PCT designated stage Publication Date: 2026-05-28ZENDESING PLAN CO LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
ZENDESING PLAN CO LTD
Filing Date
2024-11-22
Publication Date
2026-05-28

AI Technical Summary

Technical Problem

Existing design processes for products often result in errors due to independent creation of component and overall product designs, lacking a platform for virtual creation of final product designs through component shape selection.

Method used

A model design generation platform that allows stepwise selection of components, utilizing a component selection module, database, combination module, and generation module, with AI learning for optimal design verification and modification.

Benefits of technology

Enables virtual verification and modification of product designs before manufacturing, ensuring component and overall design compatibility, reducing errors and enhancing design efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to a platform for generating a model design by stepwise selection. The platform for generating a model design by stepwise selection comprises: a configuration factor selection module (11) for enabling a connector to select configuration factors for forming a product model; a configuration factor database (12) for storing a plurality of pieces of configuration data for each selected configuration factor and providing same to the configuration factor selection module (11); a configuration factor combination module (13) for combining the configuration factors selected by the configuration factor selection module (11); and a model design generation module (16) for generating a final model design from the combined configuration factors.
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Description

Model design generation platform based on stepwise selection

[0001] The present invention relates to a platform for generating a model design by stepwise selection, and specifically, to a platform for generating a model design by stepwise selection in which a model configuration is selected stepwise by accessing the platform, and a final model design is generated and provided.

[0002] Products can be manufactured through various process processors or created by combining various constituent factors. For product manufacturing, the overall shape must first be designed, and since the product includes multiple components, the shape of each component must also be designed. Once the shapes of each component are designed for the product shape, they can be combined to create the overall design. In this process, if each design is created independently and the overall product design is created independently, various types of errors may occur in the design of the actual manufactured product. Therefore, it is necessary for the designs of each component and the overall product design to be linked, and it is advantageous to carry out this process using a relevant program. Regarding design by program, Patent Publication No. 10-2019-0128504 discloses a three-dimensional design modeling and traceability representation / analysis apparatus and method for the development of a cyber-physical system. Additionally, Patent Registration No. 10-2627444 discloses a system for providing 3D modeling for pop-up store space design. When the design of the entire product is created in conjunction with the design of each component, the product shape matches the combination of each component shape, enabling the design of various overall shapes through the selection of various component shapes. Furthermore, if the design of the overall shape resulting from such combinations of component shapes is provided to a designer in the form of a platform, the product design becomes simplified, and various product designs are virtually created; based on this, the designer is enabled to select a final product design having an appropriate shape. However, the prior art does not disclose a platform or system in which a final product design can be virtually created through the selection of such virtual component shapes.

[0003] The present invention aims to solve the problems of the prior art and has the following objectives.

[0004] The objective of the present invention is to provide a model design generation platform by stepwise selection, which allows a design for each component forming a product to be selected stepwise to create a design for a model of a final product.

[0005] According to a suitable embodiment of the present invention, a model design generation platform by stepwise selection comprises: a component selection module that enables a user to select a component forming a product model; a component database in which a plurality of configuration data for each selected component is stored and provided to the component selection module; a component combination module that combines the component selected by the component selection module; and a model design generation module that generates a final model design from the combined component.

[0006] According to another suitable embodiment of the present invention, a component selection module is made by a generation step determination module that determines the generation step of the final model; a component database generation module that generates component data for each component according to each of the generated steps; and a condition matching module that determines whether the determined design matches the conditions of the model design.

[0007] According to another suitable embodiment of the present invention, an artificial intelligence learning algorithm is applied to generate constituent data for each constituent according to each of the generated steps.

[0008] According to another suitable embodiment of the present invention, a configuration design selection module is configured to be selected and proceed according to predetermined steps, and at each step, one or more configuration designs are provided and selected by a configuration design database.

[0009] According to another suitable embodiment of the present invention, at least one selection element is provided at each step, and as the process proceeds stepwise according to the selection of the selection element, the selected selection element at each step is displayed stepwise.

[0010] The platform for generating model designs by stepwise selection according to the present invention can prepare and provide a database of various designs for each component forming a defined product to a designer. The designer can access the platform to select a design for each component forming the product and virtually verify the design of the final product formed by combining one or more selected component designs. This allows the design of the product model to be verified in advance prior to product design or mold manufacturing, and enables the individual component designs or the overall product design to be easily modified or changed as needed. The platform according to the present invention enables the product designer to select various designs for each component forming the product, while also allowing verification of whether the final product can be manufactured based on the selected components. The platform according to the present invention can be applied to the design of various products, and the present invention is not limited thereby.

[0011] FIG. 1 illustrates an example of a model design generation platform by stepwise selection according to the present invention.

[0012] FIG. 2 illustrates an example of the operating structure of a component selection module in a generation platform according to the present invention.

[0013] FIG. 3 illustrates an example of the process of generating a design for a product model on a generation platform according to the present invention.

[0014] FIGS. 4 to 8 illustrate embodiments in which a generation platform according to the present invention is applied to the design of a drone product model.

[0015] The present invention is described in detail below with reference to embodiments shown in the attached drawings, but the embodiments are for a clear understanding of the invention and the invention is not limited thereto. In the description below, components having the same reference numeral in different drawings have similar functions and are not described repeatedly unless necessary for understanding the invention, and known components are described briefly or omitted, but should not be understood as being excluded from the embodiments of the present invention.

[0016] FIG. 1 illustrates an example of a model design generation platform by stepwise selection according to the present invention.

[0017] Referring to FIG. 1, a model design generation platform by stepwise selection includes: a component selection module (11) that enables a user to select a component that forms a product model; a component database (12) in which component data for each selected component is stored and provided to the component selection module (11); a component combination module (13) that combines the component selected by the component selection module (11); and a model design generation module (16) that generates a final model design from the combined component.

[0018] The model can be various industrial products or household goods, and can be made into various shapes using various materials. For example, the model can be a drone, and various drone designs can be created on the creation platform. A person who wants a design for the model can access the platform via the internet and create a final design for the model on the platform. To create a design for such a product model, the creation platform may include a component selection module (11), and the component selection module (11) enables the user to select the component of the model. The component selection module (11) may include a structure that enables the selection of various component factors forming the product model, and the user can select component factors step by step in the component selection module (11). A component database (12) may be prepared, and various component data may be stored in the component database (12). A component factor may be, for example, a component design for a component forming the model, a material for the component, a method for creating the component, or a factor for creating a similar component. In contrast, the component data may be data for a single component for forming such a model, and the component data may include multiple components that perform the same function. For example, if component data is presented to a user connected to the component selection module (11) to select a single component, the user may select a single component from the component data.A component or component data may be a shape, figure, character, color, pattern, or similar display means. The user may, for example, select a shape for a frame or select a manufacturing method such as 3D printing or mold manufacturing to create a frame. Multiple shapes for a frame may become one component data, and 3D printing and mold manufacturing may become other component data. The user may select one frame or 3D print corresponding to a component from such component data. When component data is presented to the component selection module (11) from the component database (12), the user may select at least one configuration using the presented component data. When a component is selected by the component selection module (11), the component may be assembled by the component assembly module (13). The component selected by the component selection module (11) may be transmitted to the selected configuration group module (14), and the selected configuration group module (14) stores the component selected by the user from the component module (11). The configuration factor data stored in the selection configuration group module (14) may have an assembly sequence number code. The assembly sequence number code serves as a marker indicating the order in which assembly must be performed for the creation of a model design, and may be determined by the order in which the user selects the configuration factor selection module (11). Alternatively, the assembly sequence number code may be automatically assigned by the selection configuration group module (14) by analyzing the configuration of the model design. The configuration factor assembly module (13) may assemble the configuration factors based on the assembly sequence number code. Optionally, the creation platform may include an assembly optimization module (15), and the assembly optimization module (15) may have a function to determine whether the model design assembled in the component combination module (13) corresponds to the optimal model that the user can select.For example, the assembly optimization module (15) can search for a component that is functionally superior or preferred compared to a specific component selected by the user, and can present it to the user. Additionally, the assembly optimization module (15) can search for the association between different components forming the model design, and if they are difficult to combine with each other, or if a combination of different specific components is difficult to operate from a design perspective or functionally, it can provide information to the user regarding this. Alternatively, the combination optimization module can provide information to the user if, among a plurality of components selected by the user, at least one component is advantageous to select another component from a design perspective or functional perspective, or if the selection of another component is preferred. In this way, the combination optimization module (15) can have the function of searching for the appropriateness of the component selected by the user and providing the user with a component that is advantageous or preferred from a design perspective or functional perspective. The combination optimization module (15) can provide various information regarding the components being combined to the user, and the present invention is not limited thereto.

[0019] When the component factors selected by the assembly factor combination module (13) are assembled, they can be transmitted to the model design generation module (16), and the model design generation module (16) can generate a final model design and output it to a display to provide it to the user. At least one final model design can be generated and provided to the user, and the user can determine from the final model design output to the display whether it corresponds to a model design that meets the user's conditions. The final design for the model generated by the model design generation module (16) and the selection process of the final design can be stored on the platform and, if necessary, transmitted to the user's computer or portable electronic device. The final model design generated by the model design generation module (16) can be processed in various ways, and the present invention is not limited by this.

[0020] FIG. 2 illustrates an example of the operating structure of a component selection module in a generation platform according to the present invention.

[0021] Referring to FIG. 2, the component selection module (11) is created by a generation stage determination module (22) that determines the generation stage of the final model; a component database generation module (23) that generates component data for each component according to each generated stage; and a condition matching module (24) that determines whether the determined design matches the conditions of the model design. A user of the platform can select various components step by step through the component selection module, and a final model design can be generated based on the various selected components. Such a component selection model includes a model design analysis module (21). The model design analysis module (21) may have the function of dividing the model selected by the user into multiple components for analysis, and the shape, manufacturing method, color, or function of each component may be a component. For example, if the user selects a drone as the model design, the model design analysis module (21) may analyze the drone by component, and may divide it into components such as a frame, propeller, battery, material, manufacturing method, or similar components, and analyze the necessary selections for each component. The model design analysis model (21) can analyze the model design by decomposing it based on the assembly method, and can analyze the model design based on assembly units and assembly processes. When the model design is analyzed by the model design analysis module (21), the generation stage determination module (22) can determine the stage in which the model design is generated or the stage in which the model design is assembled. The selection stage of the user can be determined by the generation stage, and constituent factors can be selected in each generation stage. Accordingly, constituent factor data needs to be created to select each constituent factor in each generation stage. Constituent factor data can be generated by the constituent factor database base generation module (23).For example, regarding a component such as the shape of a single frame, various possible frame shapes can be created, and various possible frame shapes can become component data. Additionally, regarding the color of the frame, component data of various colors can be created, and yellow can become a component. In this way, the component database creation module (23) can create various component data for each component. When component data is created by the component database creation module (23), it is analyzed by the condition matching module (24), and a step is created to determine whether the model design for which component data was created matches the model design requested or selected by the user. During the process of accessing the platform and selecting a model design, the user may request conditions for a suitable model design, and the condition matching module (24) can determine whether it matches the user's requested conditions. Additionally, the condition matching module (24) can determine whether the component included in the component data matches the model design selected by the user, and if there is a component that does not match the conditions, it can be removed from the component database creation module (23). In this way, when the condition matching module (24) confirms whether a match exists, the configuration selection step setting module (25) may set the step that the user must select to create a model design. The step to be selected may be similar to the process of assembling the components of the model design, but is not limited thereto. The user can create a model design on the platform by selecting a component at each step following the step set by the configuration selection step setting module (25). According to one embodiment of the present invention, an artificial intelligence learning algorithm may be applied to generate component data for each component according to each of the generated steps.The generation of model designs based on components or constituent factors can be carried out in various ways, and it is necessary to explore the optimal model design generation process. Furthermore, constituent factor data for each component may contain a large number of constituent factors; it needs to be limited to an appropriate number to match the user's conditions, restricted to constituent factors preferred by various users, or restricted to implementable constituent factors. Additionally, to verify whether the design matches the user's requirements, the model design selected by the user or the user's requirements need to be analyzed through various methods. Such generation processes, the creation of constituent factor data, or the determination of matching with the user's requirements can be carried out by artificial intelligence learning algorithms. For example, an AI learning algorithm can learn various data regarding a single constituent factor to create various forms of related constituent factors, and based on the learning results, determine constituent factors that reduce costs, facilitate assembly, or are preferred by various users. Based on this, the characteristics of each constituent factor can be determined while generating or determining the constituent factors included in the constituent factor data. Furthermore, the characteristics determined by the AI ​​learning algorithm can be combined with the constituent factors included in the constituent factor data. Subsequently, when a user selects a constituent, such features may be displayed to the user along with the constituent, thereby facilitating the user's selection. Artificial intelligence learning algorithms can be applied to the process of generating constituent data in various ways, and the present invention is not limited by this.

[0022] FIG. 3 illustrates an example of the process of generating a design for a product model on a generation platform according to the present invention.

[0023] Referring to FIG. 3, a user who wishes to create a model design can access the platform (P31), and the user can select a model design on the initial screen to begin creating the model design (P32). When the user selects a model design, a step for creating the model design can be initiated (P33). In each step, configuration data for selection can be presented (P34), and the user can select configurations from the presented configuration data (P35). When the progress of the step is completed, a configuration selection group is created, and the configurations selected by the user can be grouped into one group (P36). It can be determined whether the model design selected by the user can be created based on the configurations of the configuration selection group (P37), and if it is not appropriate (N), the process can be initiated again in the step (P33). In contrast, if creation is possible (Y), the configurations of the configuration selection group can be combined (P38). It can be determined whether the combined model design matches the model design selected by the user (P39), and if it does not match (N), the step-by-step component selection step (P35) can proceed. In contrast, if it matches (Y), the final model design is generated (P391) and can be saved on the platform. If necessary, the model design generation process or the final model design can be transmitted to the user's computer or electronic device, such as the user's smartphone. The model design by the platform user can be generated in various ways, and the present invention is not limited thereto.

[0024] FIGS. 4 to 8 illustrate embodiments in which a generation platform according to the present invention is applied to the design of a drone product model.

[0025] Referring to FIGS. 4 to 8, at least one selection element (42_1 to 42_N) is provided at each step, and as the selection of the selection element (42_1 to 42_N) proceeds step by step, the selected selection element at each step is displayed step by step.

[0026] As illustrated in FIG. 4, when a connection is established (P31) and a model design is selected, a first-stage selection screen may be provided to the user. The selection screen may include a selection process (41), selection elements (42_1 to 42_2), a description (421) of each selection element, and instructions (43). The selection elements (42_1 to 42_2) may display the constituent elements included in the respective constituent element data. When the user selects a drone as the model design, a frame type selection is presented as the first selection screen, and six-wing frame and eight-wing frame may be presented as selection elements (42_1 to 42_2). When the user selects and clicks the selection elements (42_1 to 42_2), the user may be moved to a second selection screen. As illustrated in FIG. 5, the second selection screen is for selecting the size of the frame, and small, middle, large, and extra large are presented as selection elements (42_1 to 42_K). When a user selects one of the selection elements (42_1 to 42_K), the process can proceed to the next selection step. Referring to FIG. 6, a component called a 3D printer may be presented as a selection element (42_1). Additionally, a progress step item (61) may be displayed at the bottom of the screen, and the progress step item (61) displays the selection steps in order so that the user can check the item selected during the process. Referring to FIG. 7, when the final step is completed, a result display item (71) is presented, and the user can select the result display item (71) to check the selection results that proceeded step by step, and the screen of FIG. 8 may be presented to the user. Referring to FIG. 8, two final model designs are presented, and various angled directional design shapes (82a, 82b) for each model design may be presented. Option description items (81_1, 81_2) for the selected option may be presented on the final screen.

[0027] The user can check the items selected during the process from the option description items (81_1, 81_2) and check the final model design viewed from various angles from the direction design shapes (82a, 82b). Each step screen may include various items and the step screen may be configured in various ways, and the present invention is not limited by this.

[0028] Although the present invention has been described in detail above with reference to the presented embodiments, those skilled in the art may make various modifications and variations without departing from the technical spirit of the invention by referring to the presented embodiments. The present invention is not limited by such modifications and variations, but is limited only by the claims appended below.

[0029] The present invention can be applied to industries for the design of various products, including drones.

Claims

1. A component selection module (11) that enables a user to select a component that forms a product model; A configuration factor database (12) in which multiple configuration data for each selected configuration factor are stored and provided to the configuration factor selection module (11); A configuration factor combination module (13) that combines configuration factors selected by a configuration factor selection module (11); and A model design generation platform by stepwise selection including a model design generation module (16) that generates a final model design from combined constituent factors.

2. A model design generation platform by stepwise selection according to claim 1, wherein the component selection module (11) is created by: a generation stage determination module (22) that determines the generation stage of the final model; a component database generation module (23) that generates component data for each component according to each generated stage; and a condition matching module (24) that determines whether the determined design matches the conditions of the model design.

3. A model design generation platform by stepwise selection according to claim 2, characterized in that an artificial intelligence learning algorithm is applied to generate constituent data for each constituent according to each generated step.

4. A model design generation platform by stepwise selection according to claim 1, wherein the configuration design selection module (11) is configured to be selected and proceed according to predetermined steps, and at each step, one or more configuration designs are provided and selected by the configuration design database (12).

5. A model design generation platform by stepwise selection according to claim 4, wherein at least one selection element (42_1 to 42_N) is provided at each step, and the selection element selected at each step is displayed stepwise as the process proceeds stepwise according to the selection of the selection element (42_1 to 42_N).

Citation Information

Patent Citations

  • Drawing support device, drawing support program, and drawing support method

    JP2009181535A

  • Design support device, design support method and program

    JP2019133227A

  • Article design support system and control method therefor

    KR1020070064675A

  • System and method for designing an interior of anelevator in real time

    KR1020070076845A

  • Apparatus for providing combination module data

    KR1020110044789A