Children toy material service life prediction method and system

Abstract

The invention discloses a method and system for predicting the service life of a child toy material, and the system comprises an information obtaining module, an information extraction module, a model construction module, a simulation operation obtaining module, and a simulation iteration processing module. Functional information of the transformation toy is collected to obtain mechanical parameters of functional parts and movable joints of the transformation toy, so that a parameter model is constructed, simulation operation steps of a life prediction simulation process are obtained by establishing user operation non-predeterminability, and model simulation and iterative calculation are carried out according to the simulation operation steps. According to the invention, scene simulation and simulation testing can be carried out based on the non-prediction operation of the child under the participation of the non-predetermined input of the user operation, and the problem of insufficient prediction accuracy in the prior art is effectively solved, so that the method has the advantage of improving the accuracy of predicting the function life of the complex transformation toy.

Description

Technical Field

[0001] The present invention relates to the technical field of life prediction for children's toys, and in particular to a method and system for predicting the life of materials for children's toys. Background Art

[0002] Children's toys, especially those that are transformable or feature multiple mechanisms, such as toys that can transform between robot and vehicle forms, or toys that incorporate multiple interlocking trigger mechanisms, rely heavily on the precise coordination and smooth movement of numerous internal joints. These joints, commonly found in shafts, ball joints, slides, and gear meshing structures, are inevitably subject to the forces exerted by users during push, pull, and twisting operations during the toy's transformation or mechanism activation.

[0003] Children, who make up the vast majority of transforming toys, exhibit significant individual differences and unpredictable behavior when operating transforming toys or triggering mechanisms, including the force applied, speed, sequence of transformation steps, and frequency and duration of mechanism activation. Some users may be accustomed to rapidly transforming with high force, while others may be more gentle and slow. For transformation processes that require unfolding components in a specific order, users may attempt unpredictable operation sequences or even skip intermediate steps. These behaviors can cause stresses on joint components that are not designed for these conditions. This diversity and unpredictable nature of operational behavior can lead to significant differences in the force and wear history of joint components in actual use compared to those under standardized test conditions. Therefore, lifespan predictions based on standard test data and simplified operational models often deviate from the actual performance of the toy in the hands of real users, potentially overestimating or underestimating the toy's durability. Summary of the Invention

[0004] The present invention aims to solve the technical problems mentioned in the background technology. The purpose of the present invention is to provide a method and system for predicting the material life of children's toys, which has the advantage of improving the accuracy of predicting the functional life of transformable toys.

[0005] In order to achieve the above object, the technical solutions of the present invention are: As one aspect of the present application, a method for predicting the lifespan of materials of children's toys comprises the following steps: S1. collecting functional information of a transforming toy, and determining a key functional path for the core gameplay of the transforming toy based on the functional information; S2. extracting the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; S3, performing parametric modeling based on the extracted mechanical parameters of the functional components and movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and movable joints; S4. configuring operation input rules for characterizing user unpredictable behaviors based on key functional paths, and obtaining simulation operation steps based on analysis of the operation input rules; S5. Configuring a wear calculation module for each active joint, calculating the active joint contact pressure and the relative motion wear increment of the active joint using the calculation module based on the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps, updating the simulation parameter benchmark of the active joint based on the obtained current simulation analysis results, and performing iterative simulation based on this; S6. Configure the simulation failure judgment basis according to the key functional path. When it is determined that the current simulation parameter benchmark meets the simulation failure judgment basis, the functional life of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment basis is used as the functional life of the transforming toy.

[0006] In this application, in step S1: The functional information of the transformable toy includes one or more of a design drawing of the transformable toy, a functional specification of the transformable toy, and an operation flow chart of the transformable toy.

[0007] In this application, in step S2: The active joint mechanical parameters include one or more of active joint type, active joint geometric dimensions, active joint material properties, active joint initial clearance, and active joint motion constraints.

[0008] In this application, step S3 specifically includes: S31. Identify the physical characteristics and connection types of the functional components and mechanical parameters of the movable joints of the transformable toy; S32. Mark the functional component as a rigid body or a flexible body according to the identified physical characteristics and connection type, and represent the movable joint as a kinematic pair of the corresponding connection type; S33. Parameters containing nonlinear characteristics are configured for the kinematic pair, and a kinematic equation group including a rigid body, a flexible body, and a kinematic pair is established as a kinematic model; a dynamic equation group including a rigid body, a flexible body, and a kinematic pair is established as a dynamic model, and the dynamic equation group can calculate nonlinear forces.

[0009] In this application, step S4 specifically includes: S41. Setting an operation behavior parameter set for generating user operation input, wherein the operation behavior parameter set includes parameters for characterizing the user's operation behavior characteristics on functional components, and each functional component has at least one operation behavior characteristic. S42: Combine the various operation elements in the operation behavior parameter set according to the corresponding operation behavior characteristics of each functional component, store them in a structured manner, and use them as operation input rules.

[0010] In this application, step S5 specifically includes: S51. Calculate the force and relative motion of the current active joint using a dynamic model according to the current operation input rule; S52, calculating the wear increment of the current active joint by a calculation module based on the obtained force condition and relative motion of the current active joint; S53 , accumulating the current wear increment to the total wear increment of the movable joint, and updating the simulation parameter benchmark of the movable joint according to the total wear increment.

[0011] Furthermore, the step S53 specifically includes: S531, updating the geometric parameters of the current active joint according to the total wear of the active joint; S532, identifying a functional component adjacent to the active joint whose geometric parameters have been updated, where the current functional component is directly assembled with the current active joint and its own geometric parameters have not been updated due to the total wear of the active joint; S533, based on the updated geometric parameters of the current active joint and the preset assembly constraint rules between the current active joint and the adjacent functional components, calculating the geometric offset caused by the geometric parameter update of the current active joint on the position of the functional components adjacent to the current active joint, and adjusting the geometric constraint parameters of the current functional components in the dynamic model based on the geometric offset; S534 , using the updated geometric parameters of the current active joint and the adjusted geometric constraint parameters of the functional components adjacent to the current active joint as the simulation parameter benchmarks of the current active joint updated in the iterative simulation.

[0012] Furthermore, after step S53, the method further includes: S54. Feedback the updated simulation parameter benchmark of the active joint to the dynamic model to influence contact judgment, force transmission and motion constraint in subsequent iterative simulations.

[0013] In this application, step S6 specifically includes: S61. Identify a preset functional performance indicator of a key functional path, where the functional performance indicator represents the overall performance of the key functional path when executing a specific function; S62, configuring a failure threshold of a preset functional performance indicator according to functional information of the transformable toy; S63. During the iterative simulation process, the current functional performance index value of the key functional path is calculated according to the current status of the activity key and functional components; S64. When the current functional performance index value reaches or exceeds the failure threshold, it is determined that the simulation failure judgment criterion is met.

[0014] Based on one aspect of the present application, the present application provides a method for predicting the material life of children's toys. Functional information of the transformable toys is collected to obtain mechanical parameters of the functional components and movable joints of the transformable toys, thereby constructing a parameter model. The method is combined with the simulation operation steps of the life prediction simulation process obtained by establishing non-predictive user operations and performing model simulation and iterative calculations. With the participation of non-predictive user operation input, scenario simulation and simulation testing can be performed based on the non-predictive operation of the child, which effectively solves the problem of insufficient prediction accuracy in the prior art, thereby having the advantage of improving the accuracy of functional life prediction of complex transformable toys.

[0015] As a second aspect of this application, a children's toy material life prediction system includes: An information acquisition module, the information acquisition module being used to collect functional information of a transformable toy and determine a key functional path of a core gameplay of the transformable toy based on the functional information; An information extraction module, the information extraction module being used to extract the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; A model building module, wherein the model building module is used to perform parametric modeling based on the extracted mechanical parameters of the functional components and the movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and the movable joints; A simulation operation acquisition module configured to configure operation input rules for characterizing user non-predicted behaviors based on key functional paths, and to obtain simulation operation steps based on analysis of the operation input rules; a simulation iteration processing module, wherein the simulation iteration processing module configures a wear calculation module for each movable joint, calculates the movable joint contact pressure and the relative motion wear increment of the movable joint through the calculation module based on the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps, updates the simulation parameter benchmark of the movable joint according to the current simulation analysis result, and performs iterative simulation based on this; A lifespan judgment module is configured to configure a simulation failure judgment criterion based on a key functional path. When it is determined that the current simulation parameter benchmark meets the simulation failure judgment criterion, the functional lifespan of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment criterion is used as the functional lifespan of the transforming toy.

[0016] Based on the two aspects of the present application, the present application provides a children's toy material life prediction system, which collects functional information of the transformable toys to obtain functional components and mechanical parameters of the active joints of the transformable toys, thereby constructing a parameter model, and combines the simulation operation steps of the life prediction simulation process to obtain the non-predictability of user operations and performs model simulation and iterative calculations on this basis. With the participation of non-predictable input of user operations, it can perform scene simulation and simulation testing based on children's non-predictable operations, effectively solving the problem of insufficient prediction accuracy in the existing technology, thereby having the advantage of improving the accuracy of functional life prediction of complex transformable toys.

[0017] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of a method for predicting the lifespan of materials for children's toys according to this embodiment; Figure 2 This is a schematic diagram of a specific flow chart indicating step S3 in a method for predicting the life of materials of children's toys in this embodiment; Figure 3 This is a schematic diagram of a specific flow chart indicating step S4 in a method for predicting the life of materials of children's toys in this embodiment; Figure 4 This is a schematic diagram of a specific flow chart indicating step S5 in a method for predicting the life of materials of children's toys in this embodiment; Figure 5 This is a schematic diagram of a specific flow chart indicating step S53 in a method for predicting the life of materials of children's toys in this embodiment; Figure 6 This is a flow chart showing a method for predicting the lifespan of materials of children's toys in this embodiment, indicating that the specific process of step S5 includes step S54; Figure 7 This is a schematic diagram of a specific flow chart indicating step S6 in a method for predicting the life of materials of children's toys in this embodiment; Figure 8 This is a system structure block diagram of a children's toy material life prediction system in this embodiment. DETAILED DESCRIPTION

[0019] In order to better illustrate the present invention, the present invention is described in further detail below with reference to the accompanying drawings.

[0020] It should be clear that the embodiments described are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the embodiments of the present application.

[0021] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of the present application. The singular forms "a," "the," and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0022] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0023] In this application, unless otherwise specified, "plurality" refers to two or more. "And / or" describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0024] An example is given below for description.

[0025] As one aspect of this embodiment, Figure 1 As shown, a method for predicting the life of children's toy materials includes the following steps: S1. collecting functional information of a transforming toy, and determining a key functional path for the core gameplay of the transforming toy based on the functional information; S2. extracting the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; S3, performing parametric modeling based on the extracted mechanical parameters of the functional components and movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and movable joints; S4. configuring operation input rules for characterizing user unpredictable behaviors based on key functional paths, and obtaining simulation operation steps based on analysis of the operation input rules; S5. Configuring a wear calculation module for each active joint, calculating the active joint contact pressure and the relative motion wear increment of the active joint using the calculation module based on the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps, updating the simulation parameter benchmark of the active joint based on the obtained current simulation analysis results, and performing iterative simulation based on this; S6. Configure the simulation failure judgment basis according to the key functional path. When it is determined that the current simulation parameter benchmark meets the simulation failure judgment basis, the functional life of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment basis is used as the functional life of the transforming toy.

[0026] Among them, functional information refers to descriptive data about the design, construction and operation of the transformable toy, which can be obtained in the form of design drawings, functional specifications, operation flow charts, etc.

[0027] A key functional path refers to the specific motion chain or sequence of operations that a transforming toy uses to achieve its core gameplay or main function. For example, the process of a robot toy transforming into a vehicle may include the following key functional paths: the arm joints (pivots) rotate and retract; the chest cover joints (hinges) flip and close; and the wheel assembly joints (a combination of slides and pivots) unfold and lock. These three steps are interdependent and together constitute the core transformation function of the toy from robot form to vehicle form.

[0028] The functional components and mechanical parameters of the movable joints of the transforming toy refer to the various components involved in the transforming toy to realize the transformation function, the mechanical parameters of the movable joints corresponding to the components, and the mechanical parameters of the components themselves. For example, combined with the above distance, according to the key functional path, it can be known that the functional components involved in the transforming toy to realize the transformation function include arms, chest cover and wheel assemblies and the corresponding arm joints (i.e., rotating shafts), chest cover joints (i.e., hinges) and wheel assembly joints (i.e., a combination of slide rails and rotating shafts). Based on the known functional information of the transforming toy, the relevant information on the mechanical parameters of each functional component and each movable joint can be known.

[0029] Parametric modeling refers to the establishment of a mathematical model based on extracted technical parameters that can simulate the physical behavior of a deformable toy. Its purpose is to simulate and analyze the movement and force of the toy in a computer environment.

[0030] Operation input rules refer to a set of settings used to simulate user operation behaviors. Their purpose is to characterize the unpredictable operation methods that may occur in actual use by users, so that the simulation is closer to the actual operation status. For example: the user operates the arm joints, chest cover joints and wheel assembly joints with the recommended force and sequence, or the user operates the arm joints with greater force and speed, and then operates the chest cover joints and wheel assembly joints in turn, or the user first tries to operate the chest cover joints, and then operates the arm joints and wheel assembly joints, etc.

[0031] Regarding unintended user behavior, it's important to understand that the unintended user behavior described in this embodiment primarily focuses on deviations from standard operating procedures or instruction manuals in terms of force, speed, sequence, and duration when performing core functional activities such as toy transformation and triggering mechanisms, as well as the resulting accumulated wear and tear on the movable joints and functional failure. While the dynamic model of this invention can theoretically analyze the structural response to transient impact events, such as unexpected drops, collisions, or undesigned uses (e.g., loads far exceeding the design), sudden structural damage is not the primary wear failure mode currently targeted by life prediction methods. To assess this type of sudden damage, it's necessary to define a corresponding impact load spectrum within the operational behavior parameter set and add a criterion for structural strength damage to the failure determination criteria. Based on the above examples, we can expand on how to convert one of the "operation input rules" into more specific "simulation operation steps".

[0032] "Taking the aforementioned input rule of 'the user operates the arm joint with great force and speed, then sequentially operates the chest cover joint and the wheel assembly joint' as an example, the simulation operation steps obtained from the analysis can be specifically decomposed into the following: Identify the arm joints in the dynamic model, apply the driving force / torque corresponding to the 'maximum force' defined in the operation behavior parameter set, and drive the joints from their initial position to their target position in the critical functional path at the 'maximum speed' target parameter. Record the contact pressure and relative motion of the arm joints during this process.

[0033] After the arm joint manipulation is complete, the chest plate joint is identified and a defined operating force / torque is applied to drive the joint to its target position at a defined speed. The contact pressure and relative motion of the chest plate joint are recorded during this process.

[0034] After the chest cover operation is completed, the wheel assembly joint is identified and a defined operating force / torque is applied to drive the joint to its target position at a defined speed. The contact pressure and relative motion of the wheel assembly joint are recorded during this process.

[0035] Each such simulation operation step will serve as the input basis for wear increment calculation and parameter benchmark update in subsequent steps.

[0036] The wear calculation module refers to a calculation unit that calculates the amount of material wear based on the kinematic model and the dynamic model based on the mechanical parameters of the functional components and active components according to the force, relative motion, material properties, etc. of the components. Its purpose is to quantify the wear caused to the active joints by each operation, so as to facilitate subsequent iterative simulation. For example, the mechanical parameters of the arm and arm joints, chest cover and chest cover joints, wheel assembly and wheel assembly joints updated after wear will participate in the subsequent iterative simulation.

[0037] Iterative simulation refers to the process of repeatedly executing simulation operation steps, calculating wear and updating simulation parameter benchmarks. Its purpose is to simulate the cumulative effect of wear on toys during multiple uses.

[0038] The basis for judging simulation failure refers to the standard for judging whether the functional life of a transformable toy has ended. It is associated with the functional performance of the key functional path. Its purpose is to determine when the toy loses its core function due to wear in the simulation. The number of cycle simulations refers to the total number of operation cycles performed by the simulation process when the basis for judging simulation failure is met. It is used as the predicted functional life of the toy.

[0039] By performing multiple rounds of independent life prediction simulations based on different operation input rules, each round of simulation adopts the iterative process of S5 until the failure judgment basis defined in S6 is met, thereby obtaining the functional life (number of cycles) under the specific operation input rule (for example, high-intensity operation rule, specific error sequence rule).

[0040] Ultimately, a comprehensive functional life assessment of the transforming toy can: Report the lifespan range under different preset, unpredictable operating rules (e.g., lifespan X cycles under standard operation, lifespan Y cycles under high-intensity operation); or take a weighted average of the lifespan predictions based on the estimated probability of each operating input rule occurring (if such data is available, such as based on user behavior statistics) to derive a comprehensive expected functional lifespan; or use the simulation results under the worst-case operating input rule (resulting in the shortest lifespan) as a conservative estimate of the functional lifespan of the toy. Based on the above, by combining the identification of key functional paths with iterative simulation based on non-scheduled user behavior, and dynamically updating the simulation parameter benchmark that reflects the accumulated wear in this process, it is possible to simulate the movement and wear between multiple joints, thus solving the problem that traditional methods are difficult to accurately predict the functional life of complex transformable toys in real usage scenarios, and achieving the effect of more reliable evaluation of product durability / lifespan.

[0041] The following is a specific example of a lifespan prediction for a robotic toy with multi-stage deformable joints. First, functional information is collected from the robotic toy's design drawings, assembly manual, and operating instructions. Based on this information, the key joint sequences and operating steps required to achieve the transformation from robot form to vehicle form are identified and determined as the critical functional path. Parameter extraction software is used to extract the geometric dimensions, material type, initial fit clearance, and other mechanical parameters of all functional components (such as connecting rods and housings) and movable joints (such as shafts, slides, and gears) on the critical functional path from the CAD drawings. These parameters are input into kinematic and dynamic simulation software to establish kinematic and dynamic models. The kinematic and dynamic models are based on theoretical foundations in the current application field and implemented using standard multi-body dynamics simulation software. For example, the kinematic model is established based on the Denavit-Hartenberg (DH) parameter method, and the dynamic model is established using the recursive Newton-Euler algorithm.

[0042] Based on user operation habit research or presets, operation input rules are configured, such as defining the speed range of joint rotation or sliding, the upper limit of applied force, and possible non-standard operation sequences, to generate a series of simulation operation steps. In the simulation software, a wear calculation module is integrated for each active joint. This module can be based on Archard's wear model and uses the joint contact force and relative sliding distance obtained from simulation calculations to calculate the wear amount. The simulation is performed in the order of operation steps. After each operation step is completed, the wear increment of the corresponding joint is calculated and accumulated. Based on the accumulated wear amount, the joint geometric parameters (such as increasing the shaft clearance) or friction coefficient are updated as the parameter baseline for the next round of simulation. Iterative simulation continues until the clearance of a joint on the critical functional path is too large, making it impossible to complete the predetermined deformation action, or the joint becomes stuck and cannot move. At this time, it is determined that the simulation failure judgment criteria are met. The number of simulation cycles at this time is recorded as the functional life prediction result of the robot toy.

[0043] In this embodiment, if Figure 2 As shown, the parametric modeling is further described, and the step S3 specifically includes: S31. Identify the physical characteristics and connection types of the functional components and mechanical parameters of the movable joints of the transformable toy; S32. Mark the functional component as a rigid body or a flexible body according to the identified physical characteristics and connection type, and represent the movable joint as a kinematic pair of the corresponding connection type; S33. Parameters containing nonlinear characteristics are configured for the kinematic pair, and a kinematic equation group including a rigid body, a flexible body, and a kinematic pair is established as a kinematic model; a dynamic equation group including a rigid body, a flexible body, and a kinematic pair is established as a dynamic model, and the dynamic equation group can calculate nonlinear forces.

[0044] Functional components refer to structural parts in transformable toys that perform specific functions or constitute basic units of the kinematic chain, such as the arms, chest cover, and wheel assemblies mentioned above. Mechanical parameters of movable joints refer to quantitative information describing the kinematic and dynamic properties of movable joints in transformable toys. These parameters may include the type of movable joint, its geometric dimensions, material properties, initial fit state, and motion constraints. Physical property and connection type identification refers to determining the physical properties of functional components, such as material properties, mass distribution, and inertia characteristics, as well as the connection method of the movable joint, such as rotational connection, sliding connection, ball joint connection, or screw connection.

[0045] Nonlinear parameters are quantitative values ​​used to describe kinematic pairs and can include friction coefficients, clearances, damping coefficients, or elastic coefficients. Kinematic equations are a set of mathematical expressions that describe the relationships between kinematic quantities such as position, velocity, and acceleration among components in a system. Dynamic equations are a set of mathematical expressions that describe the relationships between forces and moments acting on components in a system and their states of motion. Nonlinear forces are forces or moments generated by nonlinear characteristics, where the magnitude or direction of the force is nonlinearly related to the state of motion. Examples include nonlinear friction, nonlinear contact forces, or nonlinear damping forces.

[0046] By establishing a set of kinematic and dynamic equations that include these elements, and the dynamic equations can calculate nonlinear forces, the constructed model can more comprehensively reflect the kinematic and dynamic behavior of the toy, improve the accuracy of the model, and thus provide a more reliable basis for subsequent life prediction.

[0047] In this embodiment, if Figure 3 As shown, the step S4 specifically includes: S41. Setting an operation behavior parameter set for generating user operation input, wherein the operation behavior parameter set includes parameters for characterizing the user's operation behavior characteristics on functional components, and each functional component has at least one operation behavior characteristic. S42: Combine the various operation elements in the operation behavior parameter set according to the corresponding operation behavior characteristics of each functional component, store them in a structured manner, and use them as operation input rules.

[0048] The operational behavior parameter set refers to a collection used to describe the various behavioral characteristics that a user may exhibit when operating the functional components of a transforming toy. It can include various types of parameters, such as mechanical parameters (such as the magnitude, direction, and torque of the applied force), kinematic parameters (such as the speed, acceleration, displacement, angle, and frequency of the operation), timing parameters (such as the duration, interval, and sequence of the operation), and environmental parameters (such as temperature and humidity. Although the force or movement directly applied by the user is more direct, the environment may affect the response of the component). The purpose of setting the operational behavior parameter set is to construct a parameter space that can cover the user's diverse operational behaviors and provide basic data for the subsequent generation of operational input rules that are close to reality.

[0049] Each functional component corresponds to at least one operational behavior characteristic, which means that each operable functional component of the transformable toy, such as a rotating shaft, a slider, a button, etc., has at least one operational behavior characteristic that can be applied by the user and can be described and characterized by the parameters in the above parameter set. This ensures that the user behavior of all operable components of the toy can be parameterized.

[0050] The various operation elements in the operation behavior parameter set are combined to form an operation input rule. For example, the operation input rule may include one or more of the following strategies.

[0051] The distinction between reference standards and non-standards can be distinguished to obtain benchmark operation rules, limit and boundary condition rules, and parameter traversal and sensitivity analysis rules.

[0052] For the benchmark operating rules, parameters representing toy design recommendations or average user behavior (for example, recommended operating force, standard operating speed, correct deformation sequence, etc.) are selected from the operating behavior parameter set and combined to form benchmark operating rules for evaluating the life of toys under standard usage conditions.

[0053] Under the limit and boundary condition rules include: The high-intensity operation rule selects a combination of a higher range of operating force, a faster operating speed, and a maximum number of repetitions within the allowable range from the set of operating behavior parameters.

[0054] Wrong-order operation rules: Select key functional paths with specific operation sequences in the operation behavior parameter set, and deliberately disrupt the timing parameters in the operation behavior parameter set to form one or more wrong-order operation rules.

[0055] Incomplete operation rules: simulate users not completing all steps in the critical function path, for example, the transformation action is only halfway completed or a part is not fully in place.

[0056] Typical misoperation combination rules: Based on user survey data or experience (if the setting of the "operation behavior parameter set" in step S41 is based on such surveys), identify common misoperation patterns of children, and specifically combine the operation behavior parameters corresponding to these patterns to form representative misoperation rules, for example, applying force to two parts that should be operated one after another at the same time.

[0057] Parameter traversal and sensitivity analysis rules (optional): To study the impact of specific parameters on lifespan, one or more key parameters within the operational behavior parameter set (e.g., the torque range of a specific joint) can be systematically determined by taking their upper, lower, and intermediate values. These values ​​are then combined with standard values ​​for other parameters to form a series of operational input rules. These structured input rules can form a library containing multiple test cases, with each test case (i.e., an operational input rule) corresponding to a set of clear simulation steps. In this embodiment, if Figure 4 As shown, the updating method of the simulation parameter benchmark is specifically described, and the step S5 specifically includes: S51. Calculate the force and relative motion of the current active joint using a dynamic model according to the current operation input rule; S52, calculating the wear increment of the current active joint by a calculation module based on the obtained force condition and relative motion of the current active joint; S53 , accumulating the current wear increment to the total wear increment of the movable joint, and updating the simulation parameter benchmark of the movable joint according to the total wear increment.

[0058] The total wear increment refers to the total wear accumulated on the active joint since its initial state, and its purpose is to reflect the overall wear state of the joint.

[0059] By using a dynamic model to calculate the specific forces and relative motions of the active joints during simulated manipulations based on the current input rules, joint wear analysis is based on dynamic loads and motions that more closely resemble actual usage scenarios. Based on these calculated forces and relative motions, the computational module accurately calculates the wear increment resulting from the current manipulation step, quantifying the impact of a single manipulation on the joint state. The current wear increment is then accumulated into the total wear increment for the active joint, reflecting the cumulative effect of wear. Key to this is the dynamic updating of the active joint's simulation parameter baseline in the dynamic model based on the accumulated total wear increment. This means that as wear accumulates, the joint's physical properties (such as clearance, friction coefficient, and stiffness) are adjusted in real time within the simulation model, influencing the joint's forces, motion, and further wear calculations in subsequent simulation steps. This dynamic calculation, wear quantification, and iterative parameter updating mechanism enables the simulation process to simulate the actual effects of wear on joint performance and its evolution throughout its lifecycle, thereby improving the accuracy of wear simulations for transformable toy active joints and, consequently, lifespan predictions.

[0060] In this embodiment, further, Figure 5 As shown, the step S53 specifically includes: S531, updating the geometric parameters of the current active joint according to the total wear of the active joint; S532, identifying a functional component adjacent to the active joint whose geometric parameters have been updated, where the current functional component is directly assembled with the current active joint and its own geometric parameters have not been updated due to the total wear of the active joint; S533, based on the updated geometric parameters of the current active joint and the preset assembly constraint rules between the current active joint and the adjacent functional components, calculating the geometric offset caused by the geometric parameter update of the current active joint on the position of the functional components adjacent to the current active joint, and adjusting the geometric constraint parameters of the current functional components in the dynamic model based on the geometric offset; S534 , using the updated geometric parameters of the current active joint and the adjusted geometric constraint parameters of the functional components adjacent to the current active joint as the simulation parameter benchmarks of the current active joint updated in the iterative simulation.

[0061] Assembly constraint rules refer to a set of rules that describe the geometric position, orientation, or relative motion restrictions that should be satisfied between a movable joint and its adjacent functional components in the assembled state. They can be implemented using coaxial constraints, parallel constraints, distance constraints, or angle constraints. Their purpose is to provide a basis for calculating the geometric offset caused by wear. Geometric offset refers to the change in the geometric position or direction of the adjacent functional parts relative to their original design position or posture due to the update of the geometric parameters of the movable joint. It can be expressed in the form of position vector difference, angle difference or gap change. Its purpose is to quantify the impact of wear on adjacent parts. Geometric constraint parameters refer to the parameters used to define the relative positions between functional components in the dynamic model. They can be represented by the type of kinematic pair, the position and direction of the joint axis, the limit range or the initial clearance. Their purpose is to reflect the changes in assembly relationships caused by wear in the simulation.

[0062] Specifically, after updating the geometric parameters of the active joint according to the total wear of the active joint, the adjacent functional components that have a direct assembly relationship with the updated joint but whose own geometric parameters have not been updated are identified. Based on the updated geometric parameters of the active joint and the preset assembly constraint rules, the geometric offset in position or direction caused by the geometric change of the active joint on these adjacent functional components is calculated. It is precisely because of the existence of this geometric offset that the adjacent functional components will deviate from their ideal position in actual assembly. Therefore, based on the calculated geometric offset, the geometric constraint parameters of the adjacent functional components in the dynamic model are adjusted, such as modifying the initial position, clearance or axis position of the kinematic pair, so that the dynamic model can simulate the actual assembly state caused by wear. Finally, the updated geometric parameters of the active joint and the adjusted geometric constraint parameters of the adjacent functional components are used together as the new simulation parameter benchmark for subsequent iterative simulations.

[0063] In this embodiment, if Figure 6 As shown, after step S53, the method further includes: S54. Feedback the updated simulation parameter benchmark of the active joint to the dynamic model to influence contact judgment, force transmission and motion constraint in subsequent iterative simulations.

[0064] Based on the total wear of the active joint accumulated in step S53, and according to the total wear, the simulation parameter benchmark of the active joint is updated. The updating of the simulation parameter benchmark of the active joint according to the total wear can be achieved by adjusting the geometric dimensions, material properties or motion constraint parameters of the joint to reflect the wear state, so that simulation parameters reflecting the current wear degree can be obtained. However, in its implementation process, simply updating the simulation parameter benchmark cannot directly affect the subsequent simulation process, because the dynamic model is calculated based on the original, non-wear-adjusted parameters, which causes the simulation results to deviate from the actual situation and reduces the accuracy of the simulation prediction. Therefore, step S54 is added to feed back the updated simulation parameter benchmark of the active joint to the dynamic model, so as to affect the contact judgment, force transmission and motion constraint involved in the dynamic model in the subsequent iterative simulation.

[0065] In this embodiment, if Figure 7 As shown, the step S6 specifically includes: S61. Identify a preset functional performance indicator of a key functional path, where the functional performance indicator represents the overall performance of the key functional path when executing a specific function; S62, configuring a failure threshold of a preset functional performance indicator according to functional information of the transformable toy; S63. During the iterative simulation process, the current functional performance index value of the key functional path is calculated according to the current status of the activity key and functional components; S64. When the current functional performance index value reaches or exceeds the failure threshold, it is determined that the simulation failure judgment criterion is met.

[0066] The preset functional performance indicators of the key functional path refer to the technical parameters or state quantities that are pre-set for the core gameplay or specific functional path of the transforming toy before the life prediction is carried out, and are used to measure the overall functional performance of the path. It can be measured by technical parameters such as positioning accuracy, locking force, movement smoothness, and linkage timing accuracy; the functional performance indicators refer to quantitative or qualitative indicators that characterize the overall performance of the key functional path when performing specific functions. It can be measured by technical parameters such as positioning accuracy, locking force, movement smoothness, and linkage timing accuracy; the failure threshold refers to the critical value or range set for the preset functional performance indicators to define functional failure. It can be configured with a specific numerical value, a range interval, or a logical condition.

[0067] The solution described in this embodiment introduces real-time monitoring and judgment of functional performance indicators of key functional paths during the iterative simulation process based on wear accumulation, thereby more accurately predicting the life of the transformable toy.

[0068] That is, identify the key functional paths that are critical to the core functions of the toy, and define functional performance indicators for these paths that can reflect their overall performance. These indicators are different from the wear of a single active joint, but are the coordinated state of the entire key functional path. Then, according to the design and functional requirements of the toy, configure failure thresholds for these functional performance indicators and clarify the criteria for functional failure. During the iterative simulation process, the status of active joints and functional components can be updated in each simulation iteration. Based on these updated states, the current actual functional performance indicator value of the key functional path is calculated. Finally, the calculated current functional performance indicator value is compared with the preset failure threshold. Once the current value reaches or exceeds the failure threshold, it is determined that the simulation failure judgment basis is met, which means that the function of the key functional path has failed, and the functional life of the entire toy has also ended.

[0069] Based on one aspect of this embodiment, the present application provides a method for predicting the material life of children's toys. Functional information of the transformable toy is collected to obtain mechanical parameters of the functional components and movable joints of the transformable toy, thereby constructing a parameter model. The method is combined with the simulation operation steps of the life prediction simulation process obtained by establishing non-predictive user operations and performing model simulation and iterative calculations. With the participation of non-predictive user operation input, scenario simulation and simulation testing can be performed based on the child's non-predictive operations, effectively solving the problem of insufficient prediction accuracy in the prior art, thereby having the advantage of improving the accuracy of functional life prediction of complex transformable toys.

[0070] As two aspects of this embodiment, Figure 8 As shown, a children's toy material life prediction system 100 includes: An information acquisition module 101 is used to collect functional information of a transformable toy and determine a key functional path of the core gameplay of the transformable toy based on the functional information; An information extraction module 102 is configured to extract the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; A model building module 103, wherein the model building module 103 is used to perform parametric modeling based on the extracted mechanical parameters of the functional components and the movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and the movable joints; A simulation operation acquisition module 104 is configured to configure operation input rules for characterizing user non-predetermined behaviors according to key functional paths, and to obtain simulation operation steps according to the operation input rules; A simulation iteration processing module 105 is configured with a wear calculation module for each movable joint. The simulation iteration processing module 105 calculates the movable joint contact pressure and the relative motion wear increment of the movable joint according to the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps through the calculation module. The simulation parameter benchmark of the movable joint is updated according to the obtained current simulation analysis result, and iterative simulation is performed based on this. The life judgment module 106 is used to configure the simulation failure judgment basis according to the key functional path. When it is judged that the current simulation parameter benchmark meets the simulation failure judgment basis, the functional life of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment basis is used as the functional life of the transforming toy.

[0071] Based on the second aspect of this embodiment, the present application provides a children's toy material life prediction system, which collects functional information of the transformable toy to obtain the functional components and mechanical parameters of the active joints of the transformable toy, thereby constructing a parameter model, and combines the simulation operation steps of the life prediction simulation process to obtain the non-predictability of user operations and performs model simulation and iterative calculations on this basis. With the participation of non-predictable input of user operations, it can perform scene simulation and simulation testing based on the non-predictable operations of children, effectively solving the problem of insufficient prediction accuracy in the prior art, thereby having the advantage of improving the accuracy of functional life prediction of complex transformable toys.

[0072] Based on the disclosure and teachings of the above description, those skilled in the art may also make changes and modifications to the above embodiments. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and modifications and variations of the present invention should also fall within the scope of protection of the claims of the present invention. In addition, although certain specific terms are used in this description, these terms are only for convenience of description and do not constitute any limitation to the present invention.

Claims

1. A method for predicting the life of children's toy materials, characterized in that: The steps include: S1. collecting functional information of a transforming toy, and determining a key functional path for the core gameplay of the transforming toy based on the functional information; S2. extracting the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; S3, performing parametric modeling based on the extracted mechanical parameters of the functional components and movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and movable joints; S4. configuring operation input rules for characterizing user unpredictable behaviors based on key functional paths, and obtaining simulation operation steps based on analysis of the operation input rules; S5. Configuring a wear calculation module for each active joint, calculating the active joint contact pressure and the relative motion wear increment of the active joint using the calculation module based on the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps, updating the simulation parameter benchmark of the active joint based on the obtained current simulation analysis results, and performing iterative simulation based on this; S6. Configure the simulation failure judgment basis according to the key functional path. When it is determined that the current simulation parameter benchmark meets the simulation failure judgment basis, the functional life of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment basis is used as the functional life of the transforming toy.

2. A method for predicting the life of children's toy materials according to claim 1, characterized in that , in the step S1: The functional information of the transformable toy includes one or more of a design drawing of the transformable toy, a functional specification of the transformable toy, and an operation flow chart of the transformable toy.

3. The method for predicting the life of children's toy materials according to claim 1, characterized in that: In step S2: The active joint mechanical parameters include one or more of active joint type, active joint geometric dimensions, active joint material properties, active joint initial clearance, and active joint motion constraints.

4. The method for predicting the life of children's toy materials according to claim 1, characterized in that: The step S3 specifically includes: S31. Identify the physical characteristics and connection types of the functional components and mechanical parameters of the movable joints of the transformable toy; S32. Mark the functional component as a rigid body or a flexible body according to the identified physical characteristics and connection type, and represent the movable joint as a kinematic pair of the corresponding connection type; S33. Parameters containing nonlinear characteristics are configured for the kinematic pair, and a kinematic equation group including a rigid body, a flexible body, and a kinematic pair is established as a kinematic model; a dynamic equation group including a rigid body, a flexible body, and a kinematic pair is established as a dynamic model, and the dynamic equation group can calculate nonlinear forces.

5. The method for predicting the life of children's toy materials according to claim 1, characterized in that: The step S4 specifically includes: S41. Setting an operation behavior parameter set for generating user operation input, wherein the operation behavior parameter set includes parameters for characterizing the user's operation behavior characteristics on functional components, and each functional component has at least one operation behavior characteristic. S42: Combine the various operation elements in the operation behavior parameter set according to the corresponding operation behavior characteristics of each functional component, store them in a structured manner, and use them as operation input rules.

6. The method for predicting the lifespan of children's toy materials according to claim 1, characterized in that: The step S5 specifically includes: S51. Calculate the force and relative motion of the current active joint using a dynamic model according to the current operation input rule; S52, calculating the wear increment of the current active joint by a calculation module based on the obtained force condition and relative motion of the current active joint; S53 , accumulating the current wear increment to the total wear increment of the movable joint, and updating the simulation parameter benchmark of the movable joint according to the total wear increment.

7. The method for predicting the life of children's toy materials according to claim 6, characterized in that: The step S53 specifically includes: S531, updating the geometric parameters of the current active joint according to the total wear of the active joint; S532, identifying a functional component adjacent to the active joint whose geometric parameters have been updated, where the current functional component is directly assembled with the current active joint and its own geometric parameters have not been updated due to the total wear of the active joint; S533, based on the updated geometric parameters of the current active joint and the preset assembly constraint rules between the current active joint and the adjacent functional components, calculating the geometric offset caused by the geometric parameter update of the current active joint on the position of the functional components adjacent to the current active joint, and adjusting the geometric constraint parameters of the current functional components in the dynamic model based on the geometric offset; S534 , using the updated geometric parameters of the current active joint and the adjusted geometric constraint parameters of the functional components adjacent to the current active joint as the simulation parameter benchmarks of the current active joint updated in the iterative simulation.

8. The method for predicting the life of children's toy materials according to claim 6, characterized in that: After step S53, the method further includes: S54. Feedback the updated simulation parameter benchmark of the active joint to the dynamic model to influence contact judgment, force transmission and motion constraint in subsequent iterative simulations.

9. The method for predicting the life of children's toy materials according to claim 1, characterized in that: The step S6 specifically includes: S61. Identify a preset functional performance indicator of a key functional path, where the functional performance indicator represents the overall performance of the key functional path when executing a specific function; S62, configuring a failure threshold of a preset functional performance indicator according to functional information of the transformable toy; S63. During the iterative simulation process, the current functional performance index value of the key functional path is calculated according to the current status of the activity key and functional components; S64. When the current functional performance index value reaches or exceeds the failure threshold, it is determined that the simulation failure judgment criterion is met.

10. A children's toy material life prediction system, characterized in that: include: An information acquisition module, the information acquisition module being used to collect functional information of a transformable toy and determine a key functional path of a core gameplay of the transformable toy based on the functional information; An information extraction module, the information extraction module being used to extract the functional components and mechanical parameters of the movable joints of the transformable toy from the acquired key functional paths according to a preset parameter extraction model; A model building module, wherein the model building module is used to perform parametric modeling based on the extracted mechanical parameters of the functional components and the movable joints, wherein the parametric modeling is to establish a kinematic model and a dynamic model simulated based on the mechanical parameters of the functional components and the movable joints; A simulation operation acquisition module configured to configure operation input rules for characterizing user non-predicted behaviors based on key functional paths, and to obtain simulation operation steps based on analysis of the operation input rules; a simulation iteration processing module, wherein the simulation iteration processing module configures a wear calculation module for each movable joint, calculates the movable joint contact pressure and the relative motion wear increment of the movable joint through the calculation module based on the kinematic model and the dynamic model and in accordance with the sequence of steps in the simulation operation steps, updates the simulation parameter benchmark of the movable joint according to the current simulation analysis result, and performs iterative simulation based on this; A lifespan judgment module is configured to configure a simulation failure judgment criterion based on a key functional path. When it is determined that the current simulation parameter benchmark meets the simulation failure judgment criterion, the functional lifespan of the transforming toy ends, and the number of cycle simulations based on the simulation failure judgment criterion is used as the functional lifespan of the transforming toy.

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