Limit scooter structure design management method based on three-dimensional modeling

By collecting information on the playability and safety risks of extreme scooters, transforming it into a design requirements list, and conducting 3D modeling analysis, the problem of difficulty in quantifying playability characteristics and safety risks in existing technologies has been solved, thereby improving the scientific nature and feasibility of extreme scooter structural design.

CN121902299APending Publication Date: 2026-04-21SHENZHEN AEST HI-TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-04
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing technologies make it difficult to accurately translate the user's target play characteristics and safety risks of extreme scooters into quantifiable and traceable design inputs. This results in the inability to fully predict stress concentration areas or fatigue accumulation effects in local structures under specific action combinations during the design phase, affecting the product's durability and safety in real-world usage environments.

Method used

Collect information on the target play style and safety risks of extreme scooters, transform it into a design requirement list, generate a structural constraint list through 3D modeling, construct a list of working conditions and scenarios, conduct structural response analysis and drop impact analysis, generate a simulation evaluation result set, adjust parameters and record design changes, and form a versioned structural data archive.

Benefits of technology

It achieves a precise mapping between extreme scooter riding and safety risks, improves the realism and coverage of structural simulation analysis, establishes a closed-loop feedback mechanism from failure identification to targeted optimization, and enhances the scientific nature and feasibility of the design.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a limit scooter structure design management method based on three-dimensional modeling, and relates to the technical field of computer aided design, and the method comprises the steps: collecting target playing method information and safety risk information of a limit scooter, and converting the target playing method information and the safety risk information into a design demand list; based on the design demand list, uniformly defining the parameter range of each structural part of the scooter, generating a three-dimensional scooter data body, and synchronously forming a structural constraint list; performing targeted parameter adjustment on the three-dimensional scooter data volume according to the simulation evaluation result set, recording a design change record in the adjustment process, and generating a versioned structure data file; the three-dimensional scooter data volume is subjected to parameterization iteration based on a simulation evaluation result, a versioned structure data file is generated, a closed-loop feedback mechanism from failure recognition to directional optimization is established, and scientificity and implementability of limit scooter structure design are effectively supported.
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Description

Technical Field

[0001] This invention relates to the field of computer-aided design technology, and in particular to a method for structural design and management of extreme scooters based on three-dimensional modeling. Background Technology

[0002] In the field of extreme sports equipment engineering, especially for the structural design of extreme scooters, the product development process has gradually evolved towards digitalization, parametricization, and systematization in recent years with the development of technologies such as 3D modeling, finite element simulation, and digital twins. Some research and industrial practices have attempted to combine computer-aided design (CAD) with multibody dynamics simulation to optimize the geometry and material selection of key scooter components such as handlebars, pedals, and steering mechanisms. For example, some manufacturers use design templates based on historical experience, combined with strength verification methods under static load conditions, to conduct preliminary structural verification of the scooter. Furthermore, some high-end products have also introduced simplified drop impact simulations to assess the safety of the overall structure in typical usage scenarios.

[0003] While existing technologies have improved the efficiency and reliability of scooter structural design to some extent, they still have significant limitations when dealing with high-dynamic, high-risk extreme play. Existing methods struggle to accurately translate user-target play characteristics and corresponding safety risks into quantifiable and traceable design inputs, and to build a structural constraint system covering all working conditions. Current mainstream processes often sever the closed-loop feedback relationship between "play—risk—structural response," resulting in the inability to fully predict stress concentration areas or fatigue accumulation effects in local structures under specific action combinations during the design phase, thus affecting the product's durability and safety in real-world usage environments. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method for the structural design and management of extreme scooters based on three-dimensional modeling to solve the problem of difficulty in transforming the target play characteristics and safety risks into quantifiable and traceable three-dimensional parameter constraints and forming a closed-loop management of play risk structure response.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] This invention provides a method for structural design management of extreme scooters based on 3D modeling. The method includes: collecting target gameplay information and safety risk information of the extreme scooter, and converting this information into a design requirement list; defining the parameter ranges of each structural component of the scooter based on the design requirement list, generating a 3D scooter data volume, and simultaneously forming a structural constraint list; constructing a working condition scenario list based on the 3D scooter data volume and the structural constraint list, and mapping it to the load conditions, contact relationships, and motion boundaries of the 3D scooter data volume, obtaining a 3D working condition data set; performing structural response analysis and drop impact analysis on the 3D working condition data set to obtain the stress distribution, strain accumulation, and failure location of the extreme scooter under various working conditions, generating a simulation evaluation result set; making targeted parameter adjustments to the 3D scooter data volume based on the simulation evaluation result set, recording design change records during the adjustment process, and generating a versioned structural data archive; selecting a target structural version based on the versioned structural data archive, expanding and summarizing the data corresponding to the target structural version, and outputting a scooter structural design output package.

[0008] As a preferred embodiment of the 3D modeling-based extreme scooter structure design and management method of the present invention, the specific steps for collecting target gameplay information and safety risk information of the extreme scooter are as follows:

[0009] Record the actual use of extreme scooters, including the type of venue, ground conditions, presence of steps, ramps, and venue facilities, to form the basic sports environment of the scooter;

[0010] In the basic motion environment of scooters, record the types of play, action processes and action states of extreme scooters in different usage scenarios to form target play information; by recording the gliding instability, landing deviation and structural damage that occur during the use of extreme scooters, form safety risk information.

[0011] As a preferred embodiment of the 3D modeling-based extreme scooter structure design management method of the present invention, the specific steps of converting the requirements into a design requirements list are as follows:

[0012] Organize the gameplay type and action process in the target gameplay information into an action step table according to the time sequence of take-off, airborne, landing and gliding reset, and mark the force-bearing structural parts and connection positions of the scooter to form a corresponding action structural parts table;

[0013] The information on gliding instability, landing deviation and structural damage in the safety risk information is backfilled into the action step table, and the occurrence conditions and observable phenomena are added to each record to form a risk backfill table.

[0014] Extract the occurrence steps, structural parts, occurrence conditions and observable phenomena from the risk backfill form one by one, enter them into a risk item table according to a unified field, and write corresponding restriction items for each risk item according to the occurrence conditions and observable phenomena to obtain a restriction item table.

[0015] Each constraint in the constraint item list is rewritten into a parameter constraint table for 3D modeling, forming a parameter constraint table; the action structure part correspondence table and the parameter constraint table are merged and summarized according to the same structural part to form a design requirement list.

[0016] As a preferred embodiment of the 3D modeling-based extreme scooter structural design management method of the present invention, the step of uniformly defining the parameter ranges of each structural part of the scooter based on the design requirements list is as follows:

[0017] The design requirements list is broken down into handlebars, forks, calipers, headsets, floorplates, and wheels. The parameter constraints for each structural part are extracted one by one to form a list of structural part parameters.

[0018] The units of the parameters with the same name in the list of structural parts are unified and the dimensions are checked. Upper limit, lower limit and default value are added to each type of parameter to obtain the structural part parameter range table.

[0019] Based on the structural component parameter range table, the default value of each structural component is selected as the initial parameter set, and the initial parameter set is written into the editable parameter set to form the initial structural parameter set.

[0020] As a preferred embodiment of the extreme scooter structure design and management method based on 3D modeling described in this invention, the specific steps for generating the 3D scooter data volume and simultaneously forming a structural constraint list are as follows:

[0021] Based on the initial structural parameter set, the reference elements of the handlebars, fork, caliper, headset, base plate and wheels are established sequentially in the 3D modeling environment. The size, angle and position of each reference element are then bound to the corresponding parameters in the initial structural parameter set to form a 3D geometric skeleton.

[0022] Solid geometry of handlebars, fork, clamps, headset, base plate and wheels is generated sequentially on the three-dimensional geometric skeleton, and the key dimensions and key positions of the solid geometry are further bound to the corresponding parameters in the initial structural parameter set to generate a three-dimensional scooter data volume.

[0023] During the generation of the 3D scooter data volume, the assembly and mating relationships between the handlebars, fork, clamps, headset, base plate, and wheels are established sequentially, and the mating type, mating datum, and degree of freedom constraints corresponding to each assembly and mating relationship are recorded as a structural constraint list.

[0024] As a preferred embodiment of the extreme scooter structure design and management method based on 3D modeling described in this invention, the specific steps for obtaining the 3D working condition data set are as follows:

[0025] Based on the structural parts, connection relationships, and geometric features in the 3D scooter data volume, and combined with the structural constraint list, a set of structural connection objects is formed; based on the set of structural connection objects and combined with the action step table, usage scenarios are selected and defined as working condition scene items, forming a working condition scene list;

[0026] The fit constraints and degree-of-freedom constraints in the structural constraint list are mapped to the working scenario entries to form a motion boundary set; for each working scenario entry, the corresponding geometric elements in the 3D scooter data volume are selected as the objects of action, and the load application location, magnitude and duration are selected to form a load condition set;

[0027] The motion boundary set, load condition set, and 3D scooter data volume are associated to generate working condition records. All working condition records are then summarized to obtain a 3D working condition data set.

[0028] As a preferred embodiment of the extreme scooter structure design and management method based on 3D modeling described in this invention, the specific steps for generating the simulation evaluation result set are as follows:

[0029] For the working condition records in the three-dimensional working condition data set, structural response analysis and drop impact analysis are performed respectively to obtain the stress distribution state and deformation response results;

[0030] During the structural response analysis and drop impact analysis, the strain changes of each structural component are recorded, and the locations of abnormal deformation are marked to form a failure location record. The stress distribution, deformation response results, and failure location records are then summarized to form a simulation evaluation result set.

[0031] As a preferred embodiment of the extreme scooter structure design and management method based on 3D modeling described in this invention, the specific steps for adjusting the parameters of the 3D scooter data volume according to the simulation evaluation result set are as follows:

[0032] The structural parts and associated parameters corresponding to the failure location records are read from the simulation evaluation results set, and the structural parameter items are output. Based on the structural parameter items, the geometric features associated with the structural parameter items in the 3D scooter data volume are updated to form the adjusted 3D scooter data volume.

[0033] During the adjustment of structural parameters, the parameter values ​​before adjustment, the parameter values ​​after adjustment, and the corresponding failure locations are recorded to form a design change record.

[0034] As a preferred embodiment of the extreme scooter structure design management method based on three-dimensional modeling described in this invention, the generation of versioned structure data archives refers to associating and storing the adjusted three-dimensional scooter data body with design change records to form multiple structure version records, and numbering and sorting the multiple structure version records, and summarizing them to form versioned structure data archives.

[0035] As a preferred embodiment of the extreme scooter structure design management method based on 3D modeling described in this invention, the specific steps for outputting the scooter structure design output package are as follows:

[0036] Select the target structure version in the versioned structure data archive, and read the corresponding 3D scooter data volume and design change records for the target structure version;

[0037] The 3D scooter data volume corresponding to the target structure version is unfolded and processed, and the structural dimension information, material information and connection relationship information are extracted. The scooter structure design output package is then summarized and output.

[0038] The beneficial effects of this invention are as follows: by constructing a three-dimensional working condition data set, the actual gameplay and safety risks of extreme scooters are accurately mapped to simulateable load conditions, contact relationships, and motion boundaries, thereby improving the realism and coverage of structural simulation analysis based on three-dimensional modeling; by parametrically iterating the three-dimensional scooter data volume based on simulation evaluation results and generating versioned structural data archives, a closed-loop feedback mechanism from failure identification to targeted optimization is established, effectively supporting the scientific nature and feasibility of extreme scooter structural design. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart for the structural design and management method of extreme scooters based on 3D modeling.

[0041] Figure 2 A flowchart for generating a design requirements list.

[0042] Figure 3 A flowchart for generating a 3D scooter data volume.

[0043] Figure 4 A flowchart for generating a simulation evaluation result set. Detailed Implementation

[0044] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0047] Reference Figures 1-4 This is one embodiment of the present invention, which provides a method for structural design and management of extreme scooters based on three-dimensional modeling, including the following steps:

[0048] S1. Collect information on the target play style and safety risks of extreme scooters, and transform this information into a design requirements list.

[0049] S1.1. Record the actual use of the extreme scooter, including the type of venue, ground condition, presence of steps, ramps, and venue facilities, to form the basic motion environment of the scooter.

[0050] Specifically, when recording the actual use of the extreme scooter, the start and end times and recording medium are determined before the extreme scooter is used. After the extreme scooter starts gliding, the type of the use site is recorded segment by segment according to the actual boundary of the use site. The type of use site is filled in using common site classification methods, such as "street-style site", "park-style site", "snow-based site", and "muddy slope off-road site" as examples. The ground condition is recorded along the extreme scooter's travel path. The ground condition is filled in using directly observable surface features, such as "dry and rough", "slippery", "loose gravel", "water accumulation", and "icy" as examples. The presence of steps, ramps, and site facilities in the path is recorded item by item. Steps are described by their location and number, ramps are described by their location and direction, and site facilities are described by their type and location, such as "staircase steps", "staircase handrails", "secondary platforms and poles", "park flowerbed platforms", and "earthen slope props" as examples. The use site type, ground condition, presence of steps, ramps, and site facilities are summarized in the same recording format to form the basic motion environment of the scooter.

[0051] S1.2. In the basic motion environment of the scooter, record the play type, action process and action state of the extreme scooter in different usage scenarios to form target play information; by recording the gliding instability, landing deviation and structural damage that occur during the use of the extreme scooter, form safety risk information.

[0052] Specifically, the basic motion environment of the scooter is used as the recording boundary. Different usage scenarios within this environment are listed one by one. In each scenario, the type of play, action process, and action state of the extreme scooter are recorded chronologically. The starting, key, and ending actions are described in text. The action state is described as the changes in the extreme scooter's posture relative to the ground and the relative motion of the handlebars, fork, base, and wheels. This results in the target play information (a set of information obtained by structurally recording various play actions of the extreme scooter in actual use within the basic motion environment of the scooter). Simultaneously, safety risk information is recorded. Each safety risk record is written with a scene number, action stage identifier, and timestamp. The scene number is consistent with the scene number of the target play information. The action stage identifier is one of jump, airborne, landing, or gliding reset. The timestamp is consistent with the recording timeline of the target play information. This forms safety risk information that can be associated with the target play information by scene number + action stage identifier + timestamp.

[0053] S1.3. Organize the gameplay type and action process in the target gameplay information into an action step table according to the time sequence of take-off, airborne, landing and gliding reset, and mark the scooter's force-bearing structural parts and connection positions to form an action structural part correspondence table.

[0054] Specifically, the play types recorded in the target play information are organized item by item, and the action process corresponding to each play type is broken down into four consecutive stages according to the actual occurrence sequence: take-off, airborne, landing, and gliding reset. The take-off, airborne, landing, and gliding reset are arranged in chronological order and written into the action step table line by line. After completing the action step table, for each stage in the action step table, combined with the action process and action state recorded in the target play information, the structural parts of the extreme scooter that actually bear the force in the corresponding stage are analyzed one by one, and the structural parts of the handlebars, fork, handlebar clamp, headset, base plate, and wheels that participate in the force are marked item by item in the action step table. While marking the force-bearing structural parts, the connection positions between the corresponding force-bearing structural parts are further recorded. For example, the connection position between the handlebars and the fork, the connection position between the fork and the wheel, and the connection position between the base plate and the wheel are taken as examples. The take-off, airborne, landing, and gliding reset stages corresponding to each row in the action step table are summarized with the corresponding force-bearing structural parts and connection positions to form an action structural part correspondence table.

[0055] S1.4. Fill the information on skidding instability, landing deviation and structural damage in the safety risk information into the action step table, and add the occurrence conditions and observable phenomena for each record to form a risk backfill table.

[0056] Specifically, following the chronological order of the target gameplay information, each recorded instance of gliding instability, landing deviation, and structural damage in the safety risk information is mapped to the takeoff, flight, landing, and gliding recovery phases in the action step table. The specific action phase is then marked for each instance of gliding instability, landing deviation, or structural damage in the action step table. After completing the phase mapping, the occurrence conditions are supplemented for each record of gliding instability, landing deviation, and structural damage (including information on the damaged structural part, damage type identifier, damage occurrence stage and time, damage spatial location description, and corresponding observable phenomena). These occurrence conditions are communicated through... The process involves comparing and describing the action process, action state, and basic motion environment of the scooter at the corresponding stage in the target play information. Examples include "landing after high-speed gliding" and "single wheel landing first after jumping off a ramp." Observable phenomena are added to each record, described by what can be directly seen or felt during use. Examples include "body swaying," "wheel deviation," and "deformation of connection parts." The records of gliding instability, landing deviation, and structural damage included in the completed action step table, along with their corresponding occurrence conditions and observable phenomena, are summarized to form a risk backfill table.

[0057] S1.5. Extract the occurrence steps, structural parts, occurrence conditions and observable phenomena from the risk backfill table one by one, enter them into a risk item table according to uniform fields, and write corresponding restriction items for each risk item according to the occurrence conditions and observable phenomena to obtain a restriction item table.

[0058] Specifically, each record in the risk backfill table is read line by line. In each record, the corresponding steps of takeoff, flight, landing, and gliding reset are copied from the risk backfill table to the "Step Occurrence" field of the new table. The structural parts marked in the risk backfill table are copied to the "Structural Parts" field of the new table. The occurrence conditions in the risk backfill table are copied verbatim to the "Occurrence Conditions" field of the new table. The observable phenomena in the risk backfill table are copied verbatim to the "Observable Phenomena" field of the new table. This completes the unified field transcription from the risk backfill table to the risk entry table. After the risk entry table is formed, the risk... Each risk item in the risk list is checked against the textual descriptions of the occurrence conditions and observable phenomena. The descriptions of the action state, usage scenario, connection position, and structural damage related to the occurrence conditions are broken down into directly executable restriction statements and written into the "Restriction Item" field on the same line. For example, "landing deviation occurs during the landing phase and the front wheel contact angle with the ground is abnormal" is rewritten as "the front wheel contact angle with the ground during the landing phase is limited to the upper and lower limits given in the structural part parameter range table". Multiple restriction statements corresponding to the same risk item are written into the "Restriction Item" field in sequence to obtain the restriction item list.

[0059] S1.6. Rewrite each constraint item in the constraint item list into a parameter constraint expression for 3D modeling to form a parameter constraint table; merge and summarize the action structure part correspondence table and the parameter constraint table according to the same structural part to form a design requirement list.

[0060] Specifically, each constraint item is opened and broken down into five elements: "parameter name, parameter unit, constraint direction, constraint boundary, and associated structural part." The constraint content is then rewritten into parameter constraint expressions that can be directly input in 3D modeling. Each parameter constraint expression and its corresponding structural part are written into the same row, and the parameter constraint table is obtained. After obtaining the parameter constraint table, the action structural part correspondence table is grouped by structural part as the primary key. The parameter constraint table rows corresponding to the same structural part are appended to the same group. When merging, the step information and connection position fields in the action structural part correspondence table are retained, as well as the parameter constraint expression fields in the parameter constraint table. After merging and summarizing, the design requirement list is output.

[0061] S2. Based on the design requirements list, the parameter ranges of each structural part of the scooter are uniformly defined, a three-dimensional scooter data volume is generated, and a structural constraint list is generated simultaneously.

[0062] S2.1. Break down the design requirements list into handlebars, forks, clamps, headsets, floorplates, and wheels, and extract the parameter constraints for each structural part to form a list of structural part parameters.

[0063] Specifically, read through the design requirements list line by line, and fill in the corresponding structural part field for each line as one of the following: handlebars, fork, clamp, headset, floor, or wheel. Copy the parameter constraint expressions that appear in the same line to the corresponding structural part name. Group the parameter constraint expressions into groups of handlebars, fork, clamp, headset, floor, and wheel, and arrange them in the order of appearance. For each parameter constraint expression, add three columns: parameter name, constraint type, and constraint content, to form a structural part parameter list.

[0064] S2.2. Unify the units and verify the dimensions of the parameters with the same name in the list of structural component parameters, and add upper limit, lower limit and default value to each type of parameter to obtain the structural component parameter range table.

[0065] Specifically, after expanding the list of structural component parameters line by line, it is summarized by parameter name, grouping parameters with the same name from handlebars, forks, clamps, headsets, soleplates, and wheels into the same row. For each row of parameters with the same name, the units of measurement are checked, converting millimeters, centimeters, meters, degrees, etc., to the same unit, and the converted values ​​are written back to the corresponding fields in the list of structural component parameters. For each row of parameters with the same name, the dimensions are checked, categorizing parameters into length, angle, mass, stiffness, etc., removing mixed items with inconsistent dimensions and filling in missing dimension markings. For each type of parameter, the boundary values ​​of the acceptable range are summarized from the list of structural component parameters as upper and lower limits, and the most frequently used or first-appearing qualified values ​​in the list are written as default values. The default values ​​are obtained by taking the median value between the upper and lower limits. The parameter name, unit, dimension, upper limit value, lower limit value, and default value of each row are arranged and output in a fixed field order to obtain the structural component parameter range table.

[0066] It should be noted that for constraint information in the design requirements list that cannot be directly represented by numerical values, including gameplay type, action state description, observable phenomena and risk type identifiers, they are mapped to corresponding parameter constraint category identifiers or level identifiers and associated with the corresponding structural parameters. The mapped identifiers and numerical parameters are included in the unified field system of the structural part parameter range table for consistent processing in subsequent simulation evaluation and parameter adjustment processes.

[0067] S2.3. Based on the structural component parameter range table, select the default value of each structural component as the initial parameter group, and write the initial parameter group into the editable parameter set to form the initial structural parameter set.

[0068] Specifically, the parameter names, units, upper limits, lower limits, and default values ​​corresponding to the handlebars, forks, calipers, headsets, soleplates, and wheels are read line by line from the structural part parameter range table. Within each structural part group, the default values ​​of the corresponding parameters are selected sequentially as the initial values. After selecting the default values ​​for a single structural part, the default values ​​of all parameters under the same structural part are combined according to the parameter name and parameter order to form the initial parameter group for that structural part. The initial parameter groups formed by the handlebars, forks, calipers, headsets, soleplates, and wheels are written into the same editable parameter set, and the parameter name, unit, and value are retained for each parameter in the parameter set to form the initial structural parameter set.

[0069] S2.4. Based on the initial structural parameter set, establish the reference elements of the handlebars, fork, clamps, headset, base plate and wheels in the three-dimensional modeling environment, and bind the size, angle and position of each reference element to the corresponding parameters in the initial structural parameter set to form a three-dimensional geometric skeleton.

[0070] Specifically, the initial structural parameter set is used as the parameter source in the 3D modeling environment. Following the assembly sequence of the extreme scooter, the reference elements for the handlebars, fork, clamp, headset, baseplate, and wheels are established sequentially. These reference elements include reference points for determining spatial position, reference axes for determining directional relationships, and reference planes for determining relative positional relationships. When establishing each reference element, the parameter name and value corresponding to the reference element are read item by item from the initial structural parameter set. The dimensions, angles, and spatial positions of the reference element are directly associated with the corresponding parameters in the initial structural parameter set, ensuring that the geometric features of the reference element are completely controlled by the initial structural parameter set. After establishing and binding the parameters of all reference elements for the handlebars, fork, clamp, headset, baseplate, and wheels, the relative positional relationships between each reference element are preserved, forming a 3D geometric skeleton.

[0071] S2.5. Generate the solid geometry of the handlebars, fork, clamps, headset, base plate and wheels sequentially on the three-dimensional geometric skeleton, and continue to bind the key dimensions and key positions of the solid geometry to the corresponding parameters in the initial structural parameter set to generate the three-dimensional scooter data volume.

[0072] Specifically, based on the corresponding baseline elements in the 3D geometric skeleton, the solid geometry of the handlebars, fork, chuck, headset, baseplate, and wheels is constructed sequentially. During the generation process, existing 3D modeling methods such as extrusion, rotation, scanning, or lofting are used to expand the baseline elements into geometric structures with solid forms. When constructing each solid geometry, the parameter names and values ​​corresponding to the solid geometry are read item by item from the initial structural parameter set, and the key dimensions and key spatial positions in the solid geometry are bound to the corresponding parameters in the initial structural parameter set, so that the shape and position of the solid geometry are updated synchronously as the initial structural parameter set changes. After all the solid geometry of the handlebars, fork, chuck, headset, baseplate, and wheels is generated and the parameters are bound, the solid geometry is summarized under the same assembly relationship to form a 3D scooter data volume.

[0073] S2.6. During the process of generating the three-dimensional scooter data volume, the assembly and mating relationships between the handlebars, fork, clamps, headset, base plate and wheels are established in sequence, and the mating type, mating datum and degree of freedom constraints corresponding to each assembly and mating relationship are recorded as a structural constraint list.

[0074] Specifically, during the step-by-step generation of the 3D scooter data volume, the assembly and mating relationships between adjacent structural parts are established one by one according to the actual assembly sequence of the handlebars, fork, clamp, headset, baseplate, and wheels. During establishment, existing assembly contact surfaces, axes, or holes in the solid geometry are used as mating references, clarifying the connection methods between the handlebars and clamp, clamp and fork, fork and wheel, headset and fork, baseplate and fork, and baseplate and wheel. After each assembly and mating relationship is established, the corresponding mating type is immediately recorded. For example, the example value is fixed connection, rotational connection, or sliding connection. Simultaneously, the mating reference used to determine the mating position and the allowed or restricted relative motion under that mating relationship are recorded. The relative motion is described in terms of degrees of freedom constraints. For example, for the fixed connection between the handlebars and clamp, its degree of freedom constraint is recorded as: along... Translation in the X / Y / Z directions is restricted, and rotation around the X / Y / Z axes is also restricted. For the rotational connection between the headset and the fork, the degree of freedom restrictions are recorded as follows: translation in the X / Y / Z directions is restricted, rotation around the steering axis is allowed, and rotation around the other two axes is restricted. For the rotational connection between the fork and the wheel, the degree of freedom restrictions are recorded as follows: translation in the X / Y / Z directions is restricted, rotation around the wheel axle is allowed, and rotation around the other two axes is restricted. For the sliding connection between the soleplate and the wheel, the degree of freedom restrictions are recorded as follows: translation along the preset sliding direction is allowed, translation in the other two directions is restricted, and rotation around the X / Y / Z axes is restricted. After establishing and recording all assembly and mating relationships of the handlebars, fork, caliper, headset, soleplate, and wheel, the mating type, mating datum, and degree of freedom restrictions corresponding to each assembly and mating relationship are summarized by a unified field to form a structural constraint list.

[0075] S3. Construct a list of working conditions based on the 3D scooter data volume and the list of structural constraints, and map it to the load conditions, contact relationships and motion boundaries of the 3D scooter data volume to obtain a set of 3D working condition data.

[0076] S3.1. Based on the structural parts, connection relationships and geometric features in the 3D scooter data volume, and combined with the structural constraint list, a set of structural connection objects is formed; based on the set of structural connection objects, and combined with the action step table, usage scenarios are selected and defined as working condition scene items to form a working condition scene list.

[0077] Specifically, the structural components of the 3D scooter data volume are read one by one, including the handlebars, fork, clamps, headset, base, and wheels. Simultaneously, the established connections and corresponding geometric features between these components are read, including connection positions, contact surface shapes, and relative spatial relationships. The structural components, connections, and geometric features read from the 3D scooter data volume are then integrated with the fit types, fit references, and degree-of-freedom restrictions recorded in the structural constraint list to form a set of structural connection objects. After the set of structural connection objects is formed, it is compared with the motion step table. The take-off, airborne, landing, and gliding reset stages recorded in the motion step table are used as selection criteria. Structural connection objects that actually participate in force and relative motion during the corresponding motion stages are selected one by one. Each selection result is defined as a usage scenario, and each usage scenario is explicitly written as a working condition scene entry. All working condition scene entries are summarized to form a working condition scene list.

[0078] S3.2. Map the fit constraints and degree-of-freedom constraints in the structural constraint list to the working scenario entries to form a motion boundary set; for each working scenario entry, select the corresponding geometric elements in the 3D scooter data volume as the action object, and select the load action position, magnitude and duration to form a load condition set.

[0079] Specifically, the assembly and mating relationships corresponding to the working scenario entries in the structural constraint list are extracted item by item. The mating type, mating datum, and degree of freedom constraints recorded in the structural constraint list are written into the working scenario entries according to the same structural connection object, forming a motion boundary set. After the motion boundary set is written, the 3D scooter data body is returned along the structural connection object marked in the working scenario entry. The geometric elements that match the structural connection object are located, and the name of the located geometric element, the structural part where the geometric element is located, and the associated position of the geometric element and the structural connection object are written into the working scenario entry as the action object. After the action object is written, the occurrence steps and action processes of the corresponding working scenario entries in the action step table are combined. The load description content that is consistent with the occurrence step is selected from the recorded content of the target gameplay information and safety risk information. The load action position is filled into the geometric element position already written in the 3D scooter data body. The load size is filled into the interval form, and the load duration is filled into the interval form, forming a load condition set.

[0080] S3.3. Associate the motion boundary set, load condition set and three-dimensional scooter data volume to generate working condition records, and summarize all working condition records to obtain a three-dimensional working condition data set.

[0081] Specifically, each constraint and degree of freedom constraint in the motion boundary set is read one by one. The corresponding structural connection object set entry is located within the motion boundary set. In the 3D scooter data volume, the corresponding assembly and mating relationships are selected and the same constraints are written. For example, for fixed connections, restrictions are written on translation along the X, Y, and Z directions and rotation around the X, Y, and Z axes; for rotating connections, restrictions are written on translation along the X, Y, and Z directions and rotation is only allowed around the connecting axis; or for sliding connections, restrictions are written on translation only along a preset sliding direction and translation and rotation in other directions are restricted. After writing the motion boundary set, each load setting in the load condition set is read one by one. In the 3D scooter data volume, the geometric elements corresponding to the load condition set are selected as the objects of action and the load application position, load magnitude, and duration are written. The constraints are then applied to the same working condition scenario entry. The results of writing the dynamic boundary and the results of writing the load conditions are merged to form a working condition record. Based on the unique identifier of the working condition scene item in the working condition scene list, the corresponding working condition scene item number is written into the working condition record. The identifiers of the geometric elements that are subject to degree of freedom constraints or loads in the working condition record are written into the working condition record as the geometric element identifier information of the working condition record. The potential contact surfaces, contact boundaries, and friction properties of adjacent structural parts in the 3D scooter data volume are mapped to the working condition scene items to form a contact relationship set. The contact relationship set includes at least the contact object, contact type (one or a combination of binding / face-to-face contact / point-to-face contact), friction coefficient, and contact separation condition, and is written into the working condition record together with the motion boundary set and the load condition set. All working condition records are sorted and summarized according to the working condition scene item number to output a 3D working condition data set.

[0082] S4. Perform structural response analysis and drop impact analysis on the three-dimensional working condition data set to obtain the stress distribution, strain accumulation and failure location of the extreme scooter under various working conditions, and generate a simulation evaluation result set.

[0083] S4.1. For the working condition records in the three-dimensional working condition data set, perform structural response analysis and drop impact analysis respectively to obtain the stress distribution state and deformation response results.

[0084] Specifically, for each working condition record in the 3D working condition data set, the motion boundary set and load condition set within the working condition record are checked against the corresponding structural parts and geometric elements of the 3D scooter data body. After completing the association check before solving, the 3D scooter data body is loaded as the structural response analysis object, and material properties, assembly fit relationships, and contact relationships are set according to the working condition record. For the structural response analysis, static solution is selected, and the stress distribution state and displacement deformation response results of each time step or load step are output. For the drop impact analysis, gravity, initial velocity, or equivalent impact input is added under the same working condition record, and explicit dynamics or transient dynamics is used to solve the stress distribution state and displacement deformation response results of the impact process. The output of the structural response analysis and the output of the drop impact analysis are archived according to the same working condition record number and the field consistency record is completed, thus obtaining the stress distribution state and deformation response results corresponding to each working condition record.

[0085] S4.2. During the structural response analysis and drop impact analysis, the strain changes of each structural part are recorded, and the locations of abnormal deformation are marked to form a failure location record; the stress distribution state, deformation response results and failure location records are summarized to form a simulation evaluation result set.

[0086] Specifically, each work case record in the 3D work case data set is loaded into the structural response analysis and drop impact analysis process one by one. For structural response analysis, constraints and loads are set according to the motion boundaries and load conditions written in the work case records. Static or quasi-static solutions are used to obtain the displacement response, stress distribution, and strain distribution corresponding to each load step, and the maximum equivalent stress and maximum equivalent strain of key structural parts are output. For drop impact analysis, gravity and initial impact conditions are added to the same work case record. The initial impact conditions include one of the following: initial velocity, initial height, or equivalent impact energy. Transient dynamics or explicit methods are used. The dynamic solution yields the stress time history, strain time history, and displacement time history of the impact process, while also outputting the peak contact force and cumulative plastic strain. After completing both types of solutions, strain changes are read item by item for the handlebars, fork, clamps, headset, bottom plate, and wheels, and strain change records are generated according to time steps. Geometric regions are marked at locations where abnormal changes in displacement / strain occur. These marks are written into the failure location record and associated with geometric element identifiers. The stress distribution state, deformation response results, strain change records, and failure location records under the same working condition are merged into one evaluation item. All evaluation items are then summarized to form a simulation evaluation result set.

[0087] S5. Based on the simulation evaluation result set, make targeted parameter adjustments to the 3D scooter data volume, record design change records during the adjustment process, and generate versioned structured data archives.

[0088] S5.1. Read the structural parts and associated parameters corresponding to the failure location records from the simulation evaluation result set, and output the structural parameter items.

[0089] Specifically, based on the simulation evaluation result set, the failure location record is located one by one according to the working condition record. The name of the structural part and the spatial identifier of the failure location are read from the failure location record. The list of structural part parameters corresponding to the name of the structural part is searched in the simulation evaluation result set. The parameter constraint expression and the parameter name of the initial structural parameter set associated with the corresponding geometric element are matched according to the spatial identifier of the failure location. The four fields of structural part name, parameter name, current parameter value and parameter constraint expression are summarized to form the structural parameter item.

[0090] S5.2. Adjust the structural parameters within the corresponding parameter range and update the geometric features associated with the structural parameters in the 3D scooter data volume simultaneously. During the structural parameter adjustment process, record the parameter values ​​before adjustment, the parameter values ​​after adjustment, and the corresponding failure location records to form a design change record.

[0091] Specifically, the structural component name, parameter name, current parameter value, and parameter constraint expression recorded in each structural parameter item are read one by one, and the upper and lower limits of the corresponding parameter adjustment are confirmed by referring to the structural component parameter range table. The parameter names in the structural parameter items are adjusted, and the adjustment process is always limited to the parameter range given in the structural component parameter range table. While updating the parameter values, the geometric features associated with the structural parameter items in the 3D scooter data volume are changed synchronously to reflect the structural state after the parameter adjustment. After each parameter adjustment, the parameter value before adjustment, the parameter value after adjustment, and the failure location record of this parameter adjustment are recorded. The structural component name, parameter name, parameter value before adjustment, parameter value after adjustment, and corresponding failure location record are summarized and written into the same record to form a design change record.

[0092] S5.3. Link and store the adjusted 3D scooter data volume with the design change record to form multiple structural version records, and number and sort the multiple structural version records to form a versioned structural data archive.

[0093] Specifically, the 3D scooter data volume obtained after each parameter adjustment is associated with the corresponding design change record. The complete structural state of the 3D scooter data volume is saved simultaneously with the structural part names, parameter names, parameter values ​​before adjustment, parameter values ​​after adjustment, and failure location records recorded in the design change record, forming an independent structural version record. After forming multiple structural version records, each structural version record is assigned a unique number according to the order in which the structural parameter adjustments occurred, and then arranged in numerical order. All structural version records, along with their respective associated design change records, are centrally summarized so that each structural version record can trace the corresponding parameter adjustment process and the source of the failure location, forming a versioned structural data archive.

[0094] S6. Select the target structure version based on the versioned structure data archive, expand and summarize the data corresponding to the target structure version, and output the scooter structure design output package.

[0095] S6.1. Select the target structure version in the versioned structure data archive, and read the 3D scooter data body and design change record corresponding to the target structure version.

[0096] Specifically, the system reviews the structural version number, corresponding parameter adjustment status, and failure location records in the versioned structural data archive one by one, and selects a structural version as the target structural version. After the target structural version is determined, the system reads the 3D scooter data volume corresponding to the target structural version according to the association relationship of the target structural version in the versioned structural data archive, and simultaneously reads the design change records that correspond one-to-one with the target structural version.

[0097] S6.2. Unfold the 3D scooter data volume corresponding to the target structure version, and extract the structural dimension information, material information and connection relationship information, and output the scooter structure design output package by summarizing the data.

[0098] Specifically, in the 3D modeling environment, open the 3D scooter data volume corresponding to the target structure version, and perform unfolding processing according to the assembly level of handlebars, fork, clamp, headset, base, and wheels. This switches the 3D scooter data volume from an assembly relationship to a state where each component can be inspected individually. In the unfolded state, read and summarize the structural dimension information of handlebars, fork, clamp, headset, base, and wheels one by one, and read and summarize the material information of handlebars, fork, clamp, headset, base, and wheels one by one. Extract the connection relationship information between handlebars, fork, clamp, headset, base, and wheels one by one from the assembly fit relationship. Align the structural dimension information, material information, connection relationship information, and design change records with the structural part names and then merge and summarize them to form a scooter structural design output package.

[0099] In summary, this invention improves the realism and coverage of structural simulation analysis based on 3D modeling by constructing a 3D working condition data set, accurately mapping the actual gameplay and safety risks of extreme scooters to simulateable load conditions, contact relationships, and motion boundaries; and by parametrically iterating the 3D scooter data volume based on simulation evaluation results and generating versioned structural data archives, a closed-loop feedback mechanism from failure identification to targeted optimization is established, effectively supporting the scientific nature and feasibility of extreme scooter structural design.

[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for structural design and management of extreme scooters based on 3D modeling, characterized in that: include, Collect information on the target play style and safety risks of extreme scooters, and transform this information into a design requirements list; Based on the design requirements list, the parameter ranges of each structural part of the scooter are uniformly defined, a three-dimensional scooter data volume is generated, and a structural constraint list is generated simultaneously. A list of working conditions is constructed based on the 3D scooter data volume and the structural constraint list, and mapped to the load conditions, contact relationships and motion boundaries of the 3D scooter data volume to obtain a set of 3D working condition data. Structural response analysis and drop impact analysis are performed on the three-dimensional working condition data set to obtain the stress distribution, strain accumulation and failure location of the extreme scooter under various working conditions, and a simulation evaluation result set is generated. Based on the simulation evaluation result set, the parameters of the 3D scooter data volume are adjusted in a targeted manner. During the adjustment process, design change records are recorded, and a versioned structured data archive is generated. Based on the versioned structured data archive, the target structure version is selected, and the data corresponding to the target structure version is expanded and summarized to output the scooter structure design output package.

2. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for collecting information on the target riding style and safety risks of extreme scooters are as follows. Record the actual use of extreme scooters, including the type of venue, ground conditions, presence of steps, ramps, and venue facilities, to form the basic sports environment of the scooter; In the basic motion environment of scooters, record the types of play, action processes and action states of extreme scooters in different usage scenarios to form target play information; by recording the gliding instability, landing deviation and structural damage that occur during the use of extreme scooters, form safety risk information.

3. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for transforming the target gameplay information and security risk information into a design requirements list are as follows. Organize the gameplay type and action process in the target gameplay information into an action step table according to the time sequence of take-off, airborne, landing and gliding reset, and mark the force-bearing structural parts and connection positions of the scooter to form a corresponding action structural parts table; The information on gliding instability, landing deviation and structural damage in the safety risk information is backfilled into the action step table, and the occurrence conditions and observable phenomena are added to each record to form a risk backfill table. Extract the occurrence steps, structural parts, occurrence conditions and observable phenomena from the risk backfill form one by one, enter them into a risk item table according to a unified field, and write corresponding restriction items for each risk item according to the occurrence conditions and observable phenomena to obtain a restriction item table. Each constraint in the constraint item list is rewritten into a parameter constraint table for 3D modeling, forming a parameter constraint table; the action structure part correspondence table and the parameter constraint table are merged and summarized according to the same structural part to form a design requirement list.

4. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: Based on the design requirements list, the parameter ranges for each structural component of the scooter are defined uniformly. The specific steps are as follows: The design requirements list is broken down into handlebars, forks, calipers, headsets, floorplates, and wheels. The parameter constraints for each structural part are extracted one by one to form a list of structural part parameters. The units of the parameters with the same name in the list of structural parts are unified and the dimensions are checked. Upper limit, lower limit and default value are added to each type of parameter to obtain the structural part parameter range table. Based on the structural component parameter range table, the default value of each structural component is selected as the initial parameter set, and the initial parameter set is written into the editable parameter set to form the initial structural parameter set.

5. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for generating the 3D scooter data volume and simultaneously creating a structural constraint list are as follows. Based on the initial structural parameter set, the reference elements of the handlebars, fork, caliper, headset, base plate and wheels are established sequentially in the 3D modeling environment. The size, angle and position of each reference element are then bound to the corresponding parameters in the initial structural parameter set to form a 3D geometric skeleton. Solid geometry of handlebars, fork, clamps, headset, base plate and wheels is generated sequentially on the three-dimensional geometric skeleton, and the key dimensions and key positions of the solid geometry are further bound to the corresponding parameters in the initial structural parameter set to generate a three-dimensional scooter data volume. During the generation of the 3D scooter data volume, the assembly and mating relationships between the handlebars, fork, clamps, headset, base plate, and wheels are established sequentially, and the mating type, mating datum, and degree of freedom constraints corresponding to each assembly and mating relationship are recorded as a structural constraint list.

6. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for obtaining the three-dimensional working condition data set are as follows. Based on the structural parts, connection relationships, and geometric features in the 3D scooter data volume, and combined with the structural constraint list, a set of structural connection objects is formed; based on the set of structural connection objects and combined with the action step table, usage scenarios are selected and defined as working condition scene items, forming a working condition scene list; The fit constraints and degree-of-freedom constraints in the structural constraint list are mapped to the working scenario entries to form a motion boundary set; for each working scenario entry, the corresponding geometric elements in the 3D scooter data volume are selected as the objects of action, and the load application location, magnitude and duration are selected to form a load condition set; The motion boundary set, load condition set, and 3D scooter data volume are associated to generate working condition records. All working condition records are then summarized to obtain a 3D working condition data set.

7. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for generating the simulation evaluation result set are as follows: For the working condition records in the three-dimensional working condition data set, structural response analysis and drop impact analysis are performed respectively to obtain the stress distribution state and deformation response results; During the structural response analysis and drop impact analysis, the strain changes of each structural component are recorded, and the locations of abnormal deformation are marked to form a failure location record. The stress distribution, deformation response results, and failure location records are summarized to form a simulation evaluation result set.

8. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for adjusting the parameters of the 3D scooter data volume based on the simulation evaluation result set are as follows. The structural parts and associated parameters corresponding to the failure location records are read from the simulation evaluation results set, and the structural parameter items are output. Based on the structural parameter items, the geometric features associated with the structural parameter items in the 3D scooter data volume are updated to form the adjusted 3D scooter data volume. During the adjustment of structural parameters, the parameter values ​​before adjustment, the parameter values ​​after adjustment, and the corresponding failure locations are recorded to form a design change record.

9. The extreme scooter structure design and management method based on three-dimensional modeling as described in claim 1, characterized in that: The generation of versioned structured data archives refers to associating and storing the adjusted 3D scooter data volume with design change records to form multiple structured version records, numbering and sorting these multiple structured version records, and summarizing them to form versioned structured data archives.

10. The extreme scooter structure design management method based on three-dimensional modeling as described in claim 1, characterized in that: The specific steps for outputting the scooter structure design package are as follows. Select the target structure version in the versioned structure data archive, and read the corresponding 3D scooter data volume and design change records for the target structure version; The 3D scooter data volume corresponding to the target structure version is unfolded and processed, and the structural dimension information, material information and connection relationship information are extracted. The scooter structure design output package is then summarized and output.