Pickleball racket performance improvement system and method based on multi-parameter optimization

Abstract

The present invention discloses a system and method for improving the performance of a pickleball racket based on multi-parameter optimization. By establishing a multi-parameter model, the physical properties, material parameters and design structure of the pickleball racket are quantified as model parameters, and multi-disciplinary theories such as aerodynamics, material mechanics, structural mechanics and ergonomics are integrated. Advanced algorithms are used for comprehensive optimization to find the optimal balance point between multiple parameters such as the sweet spot, air resistance and structural stability, thereby improving the performance of the racket. The method and system provide a new idea and method for the design, manufacture and performance evaluation of pickleball rackets, which is highly practical and can help manufacturers improve production efficiency and product quality, and also facilitate athletes and coaches to select and adjust rackets.

Description

[Technical field]

[0001] The present invention relates to the technical field of sports equipment, and in particular to a system and method for improving the performance of a pickleball racket based on multi-parameter optimization. [Background Technology]

[0002] As an increasingly popular sport, pickleball has attracted many participants around the world. As the core equipment of the sport, the performance of pickleball rackets plays a vital role in the performance of athletes in competitions and training.

[0003] At present, in the field of pickleball racket design and manufacturing, although it has been recognized that there is a trade-off between factors such as the sweet spot, air resistance and structural stability, the existing methods have obvious shortcomings. Traditional design methods often rely on empirical judgment and consideration of single factors, lacking systematic design and analysis methods based on multi-parameter comprehensive optimization.

[0004] In terms of material selection, the decision to use a material is usually based only on a certain characteristic of the material (such as strength or elasticity), without fully considering the interaction between the material and other parameters (such as air resistance, ergonomic factors, etc.) under different structural designs. For example, if you only focus on the high strength of the material and ignore the impact of its density on the overall weight and, in turn, the flexibility of the athlete's swing, it may result in a racket that is sturdy but difficult to control. In the design of racket structure, most of them are fine-tuned based on common styles in the past, and fail to deeply analyze the comprehensive effects of different structural parameters (such as racket face shape, thickness distribution, internal structure, etc.) on overall performance. For example, simply changing the shape of the racket face without comprehensively considering its impact on air resistance, batting force transmission, and the position of the sweet spot will make it difficult to achieve a comprehensive improvement in racket performance.

[0005] Similar limitations are also seen in related patent fields. For example, the patent [A high-elasticity pickleball racket, publication number: CN118649403A] mainly focuses on improving the elasticity of the racket by improving the core material and structure. Although it improves the elasticity of the racket to a certain extent by setting grooves on the core and filling it with special elastic materials, it does not comprehensively consider the impact of other factors on the overall performance of the racket, such as air resistance and grip comfort. The patent only focuses on the improvement of the single performance indicator of elasticity, and does not take into account the various complex factors involved in the actual use of athletes, and cannot meet the athletes' requirements for the comprehensive performance of the racket in different scenarios.

[0006] Another example is the patent [An Improved Pickleball Racket, Publication No.: CN221155309U], which reduces weight and wind resistance by setting filling materials of different densities in the base material layer and drilling holes in the racket body. However, this improvement only optimizes individual performance indicators, lacks comprehensive and systematic optimization of racket performance, and cannot achieve balance and coordinated improvement among various performance indicators. For example, while reducing weight, the structural stability of the racket may be affected, or the measures to reduce wind resistance are not fully combined with key performance factors such as the transmission of hitting force, resulting in limited overall performance improvement.

[0007] Another example is the patent [A multifunctional pickleball racket, application number: CN202322886548.8], which focuses on adding a variety of additional functions to the racket, such as an adjustable shock absorber, a sensor with a counting function, etc. Although these functions have enriched the user experience of the racket to a certain extent, there has been no in-depth systematic analysis and optimization of the core performance parameters of the racket itself, such as the optimization of the sweet spot area, the performance under different material and structural combinations, etc. This means that in actual use, although the racket has some special functions, the improvement in basic performance is not significant enough, and it is difficult to meet the strict requirements of professional athletes for high performance of the racket.

[0008] In addition, the patent [A lightweight pickleball racket design method, application number: CN202322161345.2] mainly focuses on how to reduce the weight of the racket, and achieves the lightweight goal by selecting lightweight materials and optimizing structural design. However, in the pursuit of lightweight, other important performance indicators are often ignored, such as insufficient structural strength due to lightweight materials, or excessive structural optimization that affects the effective transmission of hitting power. Similarly, this single-dimensional optimization method cannot comprehensively improve the comprehensive performance of the racket, and it is difficult to adapt to the diverse needs of different users for racket performance in various scenarios.

[0009] This lack of comprehensive optimization of multiple parameters makes it difficult to maximize the performance of pickleball rackets and cannot accurately meet the diverse performance requirements of different users (such as professional athletes, amateurs, etc.) in different usage scenarios (such as professional competitions, leisure and entertainment, etc.). In professional competitions, athletes need rackets with accurate batting force transmission, appropriate air resistance, and stable structural performance to ensure a high level of performance; while amateurs may pay more attention to the comfort, ease of use, and a certain degree of performance of the racket during leisure and entertainment. Existing design and manufacturing methods are difficult to provide comprehensive and accurate solutions to these different needs.

[0010] Compare files:

[0011] Patent specification for a high-elastic pickle ball racket (Publication No.: CN118649403A)

[0012] Patent specification for an improved pickleball racket (Publication No.: CN221155309U)

[0013] Patent specification for a multifunctional pickleball racket (application number: CN202322886548.8)

[0014] Patent specification for a lightweight pickleball racket design method (application number: CN202322161345.2) [Summary of the invention]

[0015] The present invention overcomes the shortcomings of the prior art and provides a system and method for improving the performance of a pickle ball racket based on multi-parameter optimization. By comprehensively considering multiple parameters and performing system optimization, it breaks the limitations of traditional design and provides pickle ball rackets with better performance for different users in various usage scenarios.

[0016] To achieve the above object, the present invention adopts the following technical solutions:

[0017] A pickleball racket performance improvement system based on multi-parameter optimization, characterized in that:

[0018] Parameter collection module, used to collect the physical characteristics, material parameters and design structure data of the pickleball racket;

[0019] The model building module builds a multi-parameter model based on the data collected by the parameter acquisition module and quantifies each parameter;

[0020] Theoretical analysis module, based on physics theory, analyzes the influence of the parameters of the pickleball racket on the middle area of ​​the racket, air resistance and structural stability;

[0021] The optimization calculation module uses the optimization algorithm to comprehensively optimize the multi-parameter model, calculate the performance under different parameter combinations, and find the optimal balance point;

[0022] The result output module is used to output the optimized racket parameters and performance improvement suggestions.

[0023] The pickleball racket performance improvement system based on multi-parameter optimization as described above is characterized by: physical properties including weight, balance point and elastic modulus; material parameters including material density, strength and elastic coefficient; design structure including racket face shape, thickness distribution and internal structure.

[0024] The pickleball racket performance improvement system based on multi-parameter optimization as described above is characterized in that the physics theory includes aerodynamics, material mechanics, structural mechanics and ergonomics theory.

[0025] The pickleball racket performance improvement system based on multi-parameter optimization as described above is characterized in that the optimization algorithm includes a genetic algorithm, a particle swarm optimization algorithm and a simulated annealing algorithm.

[0026] The pickleball racket performance improvement system based on multi-parameter optimization as described above is characterized by:

[0027] The data storage module is used to store the collected pickleball racket data, the established multi-parameter model and the racket optimization result data.

[0028] The pickleball racket performance improvement system based on multi-parameter optimization as described above is characterized by:

[0029] The user interaction module is used to receive different usage scenarios and demand information input by the user, and display the racket parameter optimization results and performance improvement suggestions.

[0030] A method for improving the performance of a pickleball racket using the above system, characterized in that:

[0031] S1, quantifying the physical properties, material parameters and design structure of the pickleball racket collected by the parameter collection module into model parameters, and establishing a multi-parameter model;

[0032] S2. Analyzing the influence of the parameters collected by the parameter collection module on the middle area of ​​the racket, air resistance and structural stability through the theoretical analysis module;

[0033] S3. Calculate the performance under different parameter combinations through the optimization calculation module, find the optimal balance point of multiple parameters, and output the optimized racket parameters and performance improvement suggestions through the result output module.

[0034] The beneficial effects of the present invention are:

[0035] The present invention sets a parameter collection module in the pickle ball racket to collect the physical properties, material parameters and design structure data of the pickle ball racket, establishes a comprehensive multi-parameter model, integrates multi-disciplinary theoretical knowledge, and uses advanced optimization algorithms to find the optimal balance point of the racket between various parameters, thereby significantly improving the performance of the pickle ball racket and meeting different usage scenarios and user needs. [Drawings]

[0036] Figure 1 This is a system architecture diagram of the present invention;

[0037] Figure 2 Schematic diagram of the multi-parameter model of the present invention. [Specific implementation method]

[0038] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings.

[0039] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. In addition, the descriptions of "preferred", "sub-preferred", etc. in the present invention are only used for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "preferred" or "sub-preferred" may explicitly or implicitly include at least one such feature.

[0040] like Figure 1 As shown, a system for improving the performance of a pickleball racket based on multi-parameter optimization includes:

[0041] The parameter acquisition module is used to collect the physical properties, material parameters and design structure data of the pickleball racket. This module uses professional measurement equipment and technical means to ensure that the collected data is accurate and comprehensive, providing a reliable data basis for the subsequent establishment of a multi-parameter model. Among them, the physical properties include weight, balance point and elastic modulus; material parameters include material density, strength and elastic coefficient; design structure includes racket face shape, thickness distribution and internal structure.

[0042] Model building modules such as Figure 2 As shown in the figure, a multi-parameter model is established based on the data collected by the parameter acquisition module, and each parameter is quantified into a form suitable for model calculation. This module can flexibly adjust the structure and parameter settings of the model according to different types of rackets and the characteristics of the collected data to ensure that the model can accurately reflect the actual performance characteristics of the racket.

[0043] The theoretical analysis module, based on the theory of physics, deeply analyzes the influence of the parameters of the pickleball racket on the middle area of ​​the racket, air resistance and structural stability; this module provides a theoretical basis for the optimization calculation module to ensure that the optimization process is carried out within a scientific and reasonable theoretical framework. Among them, the physics theory includes aerodynamics, material mechanics, structural mechanics and ergonomics theory.

[0044] The optimization calculation module uses the optimization algorithm to comprehensively optimize the multi-parameter model, calculate the performance under different parameter combinations, and find the optimal balance point. By setting the initial parameters of the algorithm and starting the iterative calculation process of the algorithm, the best performance under different parameter combinations is continuously searched in a large number of calculations and simulations, and finally the parameter combination that makes the overall performance of the pickleball racket reach the optimal level is determined. Among them, the optimization algorithms include genetic algorithm, particle swarm optimization algorithm and simulated annealing algorithm.

[0045] The result output module is used to output the optimized racket parameters and performance improvement suggestions, and output them to users in an intuitive and easy-to-understand way. Manufacturers, athletes, coaches and other users can clearly understand the optimized racket performance and corresponding improvement suggestions, so that they can make reasonable decisions based on actual needs. For example, manufacturers can manufacture according to the optimization results, and athletes and coaches can choose suitable rackets according to the suggestions or make personalized adjustments to existing rackets.

[0046] There is also an optional data storage module for storing the collected pickleball racket data, the established multi-parameter model, and the racket optimization result data. This module allows users to obtain the required data at any time in subsequent query, analysis, and further optimization operations, thereby improving the scalability and practicality of the system.

[0047] There is also an optional user interaction module that receives different usage scenarios and demand information input by users, and displays racket parameter optimization results and performance improvement suggestions. By providing an intuitive interactive interface, users can easily communicate with the system and input their specific needs. At the same time, they can also more clearly understand the optimization results and suggestions output by the system, enhancing the practicality of the system and user experience.

[0048] A method for improving the performance of a pickleball racket based on multi-parameter optimization, comprising:

[0049] S1. Establish a multi-parameter model to quantify various physical properties, material parameters, and design structure of the pickleball racket into model parameters. Among them, physical properties include weight, balance point, elastic modulus, etc.; material parameters include material density, strength, elastic coefficient, etc.; design structure involves racket shape, thickness distribution, internal structure, etc. By accurately quantifying these parameters, the performance characteristics of the pickleball racket can be fully and accurately described in the form of a mathematical model, laying the foundation for subsequent optimization analysis.

[0050] S2. Determine the relationship between the parameters and performance. Based on multidisciplinary theories such as aerodynamics, material mechanics, structural mechanics and ergonomics, deeply analyze the relationship between the parameters and key performance indicators such as the sweet spot, air resistance and structural stability of the pickleball racket. For example, based on the principles of aerodynamics, study in detail how factors such as racket face shape and thickness distribution affect the size of air resistance, which in turn affects the smoothness of the athlete's swing and the effect of the shot; according to the theory of material mechanics, analyze the mechanism of the material's density, strength, elastic coefficient and other characteristics on the racket's elasticity, structural stability and the efficiency of the ball's power transmission under different structural designs; from the perspective of ergonomics, consider the influence of parameters such as weight and balance point on the athlete's comfort in holding the racket, the convenience of exerting force and the coordination of the swing action.

[0051] S3. Comprehensive optimization is performed using optimization algorithms. Appropriate optimization algorithms, such as genetic algorithms, particle swarm optimization algorithms, simulated annealing algorithms, etc., are selected to comprehensively optimize the established multi-parameter model. By setting the relevant parameters of the algorithm and performing a large number of calculations and simulations, the performance data of the pickleball racket under different parameter combinations are obtained, and the optimized racket parameters and performance improvement suggestions are output through the result output module. During the optimization process, different usage scenarios (such as professional competitions, leisure and entertainment, etc.) and user needs (such as the pursuit of high hitting power, emphasis on comfort, etc.) are fully considered to determine the optimal parameter combination (offensive or defensive) that best suits each scenario and need, that is, to find the balance point that makes the overall performance of the pickleball racket reach the best.

[0052] The specific implementation method for optimizing the performance of professional competition rackets in this case is as follows, taking an offensive racket as an example.

[0053] Step 1: Parameter collection, including size measurement, physical property collection, material parameter collection, surface property collection and core integrity detection.

[0054] Among them, size measurement includes length measurement and width measurement.

[0055] Length measurement: Use a ruler or professional measuring tool with an accuracy of ±0.1 mm to measure the length of the offensive racket to ensure that it does not exceed the 17 inches (about 431.8 mm) specified by the United States Pickleball Association (USAPA) standard and the 43.18 cm specified by relevant Chinese standards.

[0056] Width measurement: Use a measuring tool of appropriate accuracy to measure the width of the racket, and then combine it with the measured length data to ensure that the sum of the length and width does not exceed the 24 inches (about 609.6 mm) specified by the USAPA standard and the 60.96 cm specified by the Chinese standard.

[0057] Among them, physical property acquisition includes weight measurement, balance point determination and elastic modulus acquisition.

[0058] Weight measurement: Considering the offensive players' need for power, a relatively heavy racket is selected for optimization. For example, a racket weighing 8.8 ounces (about 249 grams) is accurately measured using a high-precision electronic scale with a measurement accuracy of ±0.1 grams.

[0059] Balance point determination: Use a professional balance point measuring instrument to find the point where the offensive racket maintains balance without external force. In order to better use the weight advantage to generate greater hitting power, the balance point of the offensive racket is generally closer to the racket head.

[0060] To obtain the elastic modulus, the tensile test method in material mechanics is used to select material samples from key parts of the racket (such as the racket face or racket frame) and conduct a tensile test on a professional material testing machine. Based on the stress-strain data recorded during the test, the elastic modulus of the material is obtained through Hooke's law and related calculation methods.

[0061] Among them, material parameter collection includes material (racket surface) and texture (racket frame).

[0062] Material (racket face), in addition to the elastic modulus mentioned above, the density of the material used for the racket face also needs to be measured. Use a density meter and follow the standard measurement process to place the material sample into the meter and measure its density value. At the same time, use professional material testing equipment to determine its elastic modulus.

[0063] Material (frame): some offensive rackets may use materials to enhance the strength and elasticity of the frame. Use a material strength testing machine to conduct different strength tests such as tension, compression or bending on the sample, and determine key strength indicators such as yield strength and ultimate strength based on the test results.

[0064] Among them, surface characteristic acquisition includes roughness measurement and glossiness measurement.

[0065] Roughness measurement, use a roughness meter to measure the roughness parameters of the offensive racket surface. According to the USAPA standard, it is necessary to pay attention to parameters such as Rt (maximum profile height) and Rz (micro roughness ten-point height), ensuring that the maximum range of Rt is 40μm and Rz should be within 30μm.

[0066] Gloss measurement: Although the USAPA standard does not specify the specific numerical standard for the glossiness of the racket surface, the relevant Chinese standard stipulates that the glossiness should be ≤80Gu. The glossiness of the offensive racket was measured using a gloss meter.

[0067] Among them, the core integrity test uses equipment such as flaw detectors to detect parameters such as frequency gain on offensive racket blades to ensure that the racket core is in good condition and meets the requirements for racket core integrity in the USAPA standard.

[0068] Step 2: Establish a multi-parameter model of an offensive professional competition racket, including size parameterization, physical property parameterization, material parameter quantification, surface property parameterization and core integrity parameterization.

[0069] in,

[0070] The size is parameterized, and the length of the offensive racket is 430 mm and the width is 170 mm, respectively, as the length and width parameter values ​​in the model. Based on the length and width data, the derived parameters such as the length-to-width ratio are calculated and set in combination with relevant standards, so as to analyze their impact on the racket performance in the future.

[0071] Physical property parameterization, the overall weight of the offensive racket is used as the weight parameter value in the model. The information of the balance point distance from the end of the racket handle is converted into the balance point position parameter in the model. By setting a coordinate axis with the end of the racket handle as the origin, the balance point position is expressed as a specific coordinate value on the coordinate axis. The elastic modulus and elastic coefficient of the offensive racket face material are used as the physical property parameters of the corresponding material in the model.

[0072] Material parameter quantification: For the density of carbon fiber materials, set the corresponding density parameter variable in the model and assign it the measured value. The strength indicators of the material racket frame, such as yield strength and ultimate strength, are converted into strength parameters in the model to facilitate subsequent analysis of their impact on the stability of the racket structure.

[0073] The surface characteristics are parameterized, and the roughness parameters and glossiness obtained from the surface measurement of the offensive racket are used as surface characteristic parameters in the model to analyze their effects on the batting feel, ball flight trajectory, etc.

[0074] Kernel integrity parameterization, according to the normal parameters such as kernel frequency gain detected by the flaw detector, the corresponding kernel integrity parameters are set in the model to analyze its impact on the stability of the overall performance of the racket.

[0075] Step 3: Theoretical analysis, including aerodynamic analysis, material mechanics analysis, ergonomics analysis, surface characteristics analysis and core integrity analysis.

[0076] Aerodynamic analysis: Based on the principles of aerodynamics, the effects of the shape and thickness distribution of the offensive racket face on air resistance are analyzed. For an elliptical racket face, a mathematical model of air flow is established to simulate the flow of air around the racket face. It is found that a thinner racket face edge and a relatively large racket head area (determined by the length of the major axis and the minor axis) can produce less air resistance when hitting the ball, and with the help of the racket head inertia, the ball can be hit faster and with greater force.

[0077] Further research was conducted on the quantitative relationship between different thickness distribution areas and air resistance. Through theoretical calculation and simulation, it was found that as the thickness of the edge of the racket face decreases, the air resistance coefficient decreases linearly.

[0078] Material mechanics analysis, based on the material mechanics theory, studies the effects of the high elastic coefficient of the material and the high strength (yield strength, ultimate strength) of the racket frame on the elasticity and structural stability of the offensive racket.

[0079] By building a material mechanics model and simulating the deformation of the racket under different hitting forces, it is found that when the hitting force reaches a certain level, due to the synergistic effect of the material and the racket frame, the maximum deformation of the racket is controlled within an acceptable range, ensuring the performance and life of the racket under high-intensity use.

[0080] Ergonomic analysis, from the perspective of ergonomics, considers the influence of parameters such as weight 249 grams and balance point position (0, 19) on the comfort of offensive athletes holding the racket, the convenience of force generation, and the coordination of the swing action.

[0081] Research has found that for offensive athletes, this weight range and balance point position can make them feel comfortable when holding the racket and exert force naturally. During the swing process, the right balance point helps athletes better control the swing direction and speed of the racket, improving the accuracy and power of the shot. For example, when an athlete hits the ball with a forehand, the balance point position allows the racket to better match the movement trajectory of the arm during the swing, reducing unnecessary energy loss and improving the effect of the shot.

[0082] Surface property analysis, analyzing the impact of the surface roughness and glossiness of offensive rackets on hitting the ball. A more appropriate roughness (such as Rt of 35μm and Rz of 25μm) can provide a certain amount of friction, which helps the contact and control of the ball and the racket surface, making the flight trajectory of the ball more predictable. The appropriate glossiness (such as 60Gu) will not affect the athlete's vision due to excessive reflection, nor will it affect the athlete's psychological feelings due to too low glossiness, making the racket surface look dull and dull, thereby affecting the hitting performance to a certain extent.

[0083] Core integrity analysis considers the impact of the racket core integrity on the overall performance. Good core integrity ensures the stability of the racket during the hitting process, avoiding abnormal vibration and poor energy transfer caused by core problems, thereby ensuring the effective transmission of hitting power and the service life of the racket.

[0084] Step 4: Optimization calculation includes algorithm parameter setting, iterative calculation process and determination of optimal parameter combination.

[0085] Algorithm parameter setting, setting the population size, that is, initially generating individuals with different parameter combinations as the population.

[0086] Determining the crossover probability means that during the population evolution process, genetic crossover operations are performed between individuals at the crossover probability to produce new individuals.

[0087] The mutation probability is set, that is, the genes of each individual mutate according to the mutation probability, and new genetic features are introduced to prevent the algorithm from falling into a local optimal solution.

[0088] Iterative calculation process, start the iterative calculation of the genetic algorithm, in each iteration, evaluate the racket performance of each individual (i.e. different parameter combinations) according to the set fitness function. The fitness function comprehensively considers multiple performance indicators such as the power transmission efficiency of the ball, the sweet spot area, the air resistance coefficient, and the grip comfort of offensive athletes. For example, for an individual, its parameter combination may result in a higher power transmission efficiency of the ball, but a smaller sweet spot area, and its comprehensive performance score is calculated through the fitness function.

[0089] The population is continuously updated through operations such as crossover and mutation to generate new individuals. In the process of multiple iterations, the best performance under different parameter combinations is continuously searched. For example, after 80 iterations, it was found that the parameter combinations of some individuals showed good comprehensive performance in terms of batting force transmission efficiency, sweet spot area and air resistance coefficient.

[0090] The optimal parameter combination is determined and the iterative calculation is continued until the termination condition of the algorithm is met, such as reaching a predetermined number of iterations (assuming 300 times) or the optimal solution found does not change significantly in a number of consecutive iterations (such as 20 times).

[0091] Finally, the optimal parameter combination for the overall performance of the offensive racket was determined. For example, after optimization calculation, a new carbon fiber material layering method was obtained, which increased the elastic modulus to 260GPa; the thickness distribution of the racket surface was adjusted, the thickness of the center area became 3.2 mm, and the thickness of the edge area became 2.2 mm; the balance point position was optimized to (0, 18.5) and other parameter combinations. These parameter combinations reached the optimal level after comprehensive consideration of various performance indicators.

[0092] Step 5: Result output, including parameter output and performance improvement description.

[0093] Parameter output, output the optimized carbon fiber material layering plan, and specify the laying direction, thickness and other information of each layer of carbon fiber so that manufacturers can produce according to the plan. For example, the laying direction of the first layer of carbon fiber is along the long axis of the racket face, the thickness is 0.25 mm, the laying direction of the second layer is 45 degrees to the first layer, the thickness is 0.2 mm and other specific parameters.

[0094] Provide the optimized value of the adjusted racket face thickness, clarify the thickness of the center area and the edge area, such as the center area thickness is 3.2 mm, and the edge area thickness is 2.2 mm, so that manufacturers can clearly understand the design requirements of the racket face thickness.

[0095] Output the recommended balance point position (0, 18.5) to inform the manufacturer that the balance point should be set at 18.5 cm from the end of the handle when assembling the racket to ensure that the performance of the racket meets the optimization results.

[0096] The performance improvement shows that the efficiency of batting force transmission has been improved by about 25%. Through specific data comparison and analysis, the loss of batting force in the process of transmission on the racket face before and after optimization is demonstrated, allowing manufacturers to intuitively understand the effect of performance improvement.

[0097] Pointing out that the air resistance coefficient is reduced by about 20%, combined with the principles of aerodynamics, explaining the positive impact of the reduction in the air resistance coefficient on the athlete's swing speed and hitting power, so that manufacturers can understand the aerodynamic advantages of the optimized racket.

[0098] Emphasize the improvement in athletes' grip comfort and describe, from an ergonomic perspective, how factors such as the optimized balance point position and weight distribution improve the feel of athletes holding the racket, so that manufacturers can realize the importance of optimization results to athletes' usage experience.

[0099] Manufacturers can use this information to produce high-performance pickleball rackets that are better suited for offensive professional play.

[0100] It can be seen from the above embodiments that the method and system for improving pickle ball racket performance based on multi-parameter optimization of the present invention can effectively optimize the racket performance according to different usage scenarios (offensive or defensive professional competitions, etc.) and user needs, and provide strong support for the design, manufacture and use of pickle ball rackets.

[0101] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or directly or indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A pickleball racket performance improvement system based on multi-parameter optimization, characterized in that: Included Parameter collection module, used to collect the physical characteristics, material parameters and design structure data of the pickleball racket; The model building module builds a multi-parameter model based on the data collected by the parameter acquisition module and quantifies each parameter; Theoretical analysis module, based on physics theory, analyzes the influence of the parameters of the pickleball racket on the middle area of ​​the racket, air resistance and structural stability; The optimization calculation module uses the optimization algorithm to comprehensively optimize the multi-parameter model, calculate the performance under different parameter combinations, and find the optimal balance point; The result output module is used to output the optimized racket parameters and performance improvement suggestions.

2. The system for improving the performance of a pickleball racket based on multi-parameter optimization according to claim 1, characterized in that: Physical properties include weight, balance point and elastic modulus; material parameters include material density, strength and elastic coefficient; design structure includes racket face shape, thickness distribution and internal structure.

3. The system for improving the performance of a pickleball racket based on multi-parameter optimization according to claim 1, characterized in that: Physics theories include aerodynamics, material mechanics, structural mechanics and ergonomics.

4. The system for improving the performance of a pickleball racket based on multi-parameter optimization according to claim 1, characterized in that: The optimization algorithms include genetic algorithm, particle swarm optimization algorithm and simulated annealing algorithm.

5. The system for improving the performance of a pickleball racket based on multi-parameter optimization according to claim 1, characterized in that: Also includes The data storage module is used to store the collected pickleball racket data, the established multi-parameter model and the racket optimization result data.

6. The system for improving the performance of a pickleball racket based on multi-parameter optimization according to claim 1, characterized in that: Also includes The user interaction module is used to receive different usage scenarios and demand information input by the user, and display the racket parameter optimization results and performance improvement suggestions.

7. A method for improving the performance of a pickleball racket using the system described in any one of items 1 to 6, characterized in that: Included S1, quantifying the physical properties, material parameters and design structure of the pickleball racket collected by the parameter collection module into model parameters, and establishing a multi-parameter model; S2. Analyzing the influence of the parameters collected by the parameter collection module on the middle area of ​​the racket, air resistance and structural stability through the theoretical analysis module; S3. Calculate the performance under different parameter combinations through the optimization calculation module, find the optimal balance point of multiple parameters, and output the optimized racket parameters and performance improvement suggestions through the result output module.

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