Pick racket performance intelligent monitoring device and method

Abstract

The invention discloses an intelligent monitoring device and method for the performance of a Pick racket, and the device can collect key performance data, such as a hitting force peak value, a dessert area position offset, a racket plate tension change rate, an air resistance average value, and a maximum structural strain value, in real time through arranging a plurality of high-precision sensors at key parts of the Pick racket. The data transmission module is used for transmitting data to the intelligent analysis system for processing and analysis, a detailed racket performance report is generated, comprehensive and objective performance information is provided for athletes, coaches and racket manufacturers, the training effect and competition results of the athletes are improved, and improvement of the racket manufacturing technology is promoted.

Description

[Technical field]

[0001] The present invention relates to the technical field of sports equipment monitoring, and in particular to a device and method for intelligently monitoring the performance of a pickle ball racket. [Background Technology]

[0002] With the increasing popularity of pickleball, the performance optimization of pickleball rackets has become a key issue. However, existing rackets lack effective performance monitoring methods during use, making it difficult for athletes and coaches to accurately understand the detailed performance of the rackets at the moment of hitting the ball and during the movement.

[0003] Therefore, when actually hitting the ball, the athlete cannot know for sure whether the distribution of the hitting force is uniform, whether the position of the sweet spot has changed, whether the racket tension is appropriate, the impact of air resistance on the swing, and the stress condition of the racket structure. Traditional evaluation methods mainly rely on the subjective feelings and limited experience of athletes and cannot provide accurate quantitative data. This not only limits the improvement of athletes' technical level and the optimization of training plans, but also makes it difficult for racket manufacturers to improve product design and racket performance in a targeted manner during product development. However, the existing related technologies still have some shortcomings.

[0004] For example, the patent with publication number CN219675402U discloses a pickle ball racket testing device, which is equipped with a windshield, a camera and a lighting lamp arranged on the inner wall of the windshield, and the camera observes the rising height of the pickle ball shadow to judge whether the racket elasticity test is qualified. However, the device is mainly for racket elasticity testing, with relatively single functions, and cannot comprehensively monitor multiple performance indicators of the racket at the moment of hitting the ball and during the movement.

[0005] For example, the patent with application number 201610342548.3 relates to a pickleball racket and its manufacturing method, which mainly focuses on the manufacturing process of the racket rather than the intelligent monitoring of the racket performance.

[0006] For another example, the utility model patent with publication number CN207822438U discloses a new type of pickleball racket, which has hand warming and cooling functions and can record the playing time, but also does not involve real-time intelligent monitoring of the racket performance.

[0007] In addition, there are some patents that have made innovations in the design or production of pickleball rackets, but there are still gaps in the intelligent monitoring of racket performance. [Summary of the invention]

[0008] The present invention overcomes the shortcomings of the prior art, provides a device and method for intelligent monitoring of the performance of a pickle ball racket, realizes real-time and accurate monitoring of key performance indicators of a pickle ball racket, provides scientific guidance for athlete training and competition, and provides a basis for racket manufacturers to improve their products.

[0009] To achieve the above object, the present invention adopts the following technical solutions:

[0010] A pickle ball racket performance intelligent monitoring device, characterized in that: it includes

[0011] A pickleball racket, which is composed of a racket blade, a racket handle, and a racket connecting part connecting the racket blade and the racket handle;

[0012] A sensor assembly is provided on the pickleball racket and is used to collect the racket hitting performance data;

[0013] Intelligent analysis system, with preset algorithms, for processing and analyzing racket hitting performance data and generating racket performance reports;

[0014] A data transmission module is provided on the pickleball racket, connected to the sensor assembly, and wirelessly connected to the intelligent analysis system, and is used to transmit the racket hitting performance data to the intelligent analysis system;

[0015] The sensor components include

[0016] The force sensor array is distributed on the hitting area of ​​the racket face to measure the force data at each point when hitting the ball;

[0017] A position sensor is arranged inside the racket and is used to detect the offset data between the hitting point and the middle of the racket;

[0018] A tension sensor is installed on the racket connection part or in the racket board, and is used to detect the rate of change of racket board tension;

[0019] The air resistance sensor is set on the surface of the racket to measure the air resistance data when the racket is in motion;

[0020] The strain sensor is embedded in the edge of the racket board and the root of the handle inside the racket body to detect the strain data of the racket structure.

[0021] The above-mentioned intelligent monitoring device for performance of a pickle ball racket is characterized in that the force sensor array is composed of a plurality of piezoelectric sensor units.

[0022] The above-mentioned intelligent monitoring device for performance of a pickle ball racket is characterized in that the position sensor is a capacitive position sensor or an electromagnetic induction position sensor.

[0023] The above-mentioned intelligent monitoring device for performance of a pickle ball racket is characterized in that the tension sensor is a strain gauge sensor.

[0024] The above-mentioned intelligent monitoring device for the performance of a pickle ball racket is characterized in that the air resistance sensor is a hot wire air flow velocity sensor or a hot film air flow velocity sensor.

[0025] The above-mentioned intelligent monitoring device for performance of a pickle ball racket is characterized in that the strain sensor is an optical fiber strain sensor.

[0026] The above-mentioned intelligent monitoring device for performance of a pickle ball racket is characterized in that the data transmission module is a Bluetooth data transmission module or a ZigBee data transmission module.

[0027] The above-mentioned intelligent monitoring device for performance of a pickleball racket is characterized in that: the intelligent analysis system includes

[0028] The data receiving module and the data transmission module are used to receive and transmit the racket hitting performance data;

[0029] The data analysis module is connected to the data receiving module and processes and analyzes the racket hitting performance data using a preset algorithm;

[0030] The performance evaluation module is connected with the data analysis module, evaluates the racket performance according to the analysis result, and generates a performance report.

[0031] The above-mentioned intelligent monitoring device for the performance of a pickleball racket is characterized in that: the intelligent analysis system also includes

[0032] The data storage module is connected to the data receiving module and the data analysis module respectively, and is used to store the historical data and analysis results collected by the sensor component.

[0033] A method for intelligently monitoring the performance of a pickle ball racket using the above device, characterized in that:

[0034] S1, data collection step, collecting racket hitting performance data in real time through each sensor in the sensor assembly;

[0035] S2, a data transmission step, using the data transmission module to transmit the racket hitting performance data collected by the sensor component to the intelligent analysis system through the data transmission module;

[0036] S3, data analysis step, the intelligent analysis system performs data cleaning, feature extraction and data normalization on the received racket hitting performance data, and uses a preset algorithm to analyze the processed data;

[0037] S4, performance evaluation step, the intelligent analysis system evaluates the racket performance according to the data analysis results and compares it with the preset standard data;

[0038] S5, a report generating step, generating a detailed racket performance report according to the performance evaluation result.

[0039] The beneficial effects of the present invention are:

[0040] The present invention sets a sensor component on the pickle ball racket, which can monitor in real time and comprehensively multiple performance indicators of the racket at the moment of hitting the ball and during the movement, such as the distribution of hitting force, change of the sweet spot position, racket tension, influence of air resistance and stress condition of the racket structure, etc., and uses the data transmission module to transmit data to the intelligent analysis system for processing and analysis, and generate a detailed racket performance report, so as to provide comprehensive and objective performance information for athletes, coaches and racket manufacturers, so as to improve the training effect and competition results of athletes and promote the improvement of racket manufacturing technology. [Drawings]

[0041] Figure 1 It is a schematic diagram of the model structure of the present invention. [Specific implementation method]

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings.

[0043] 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.

[0044] like Figure 1 As shown, a pickle ball racket performance intelligent monitoring device includes

[0045] A pickleball racket, which is composed of a racket blade, a racket handle, and a racket connecting part connecting the racket blade and the racket handle;

[0046] The sensor assembly is arranged on the pickleball racket and is used to collect the racket hitting performance data; the sensor assembly includes a force sensor array, a position sensor, a tension sensor and an air resistance sensor.

[0047] The force sensor array consists of multiple piezoelectric sensor units distributed in the hitting area of ​​the racket face to measure the force data at each point when hitting the ball. When the ball hits the racket face, based on the piezoelectric effect, each sensor unit generates an electrical signal proportional to the impact force, thereby accurately measuring the force at each point when hitting the ball. By comparing the force values ​​at each point, the peak force of the hitting ball is determined, and the measurement error does not exceed ±0.5 Newton. These data help athletes understand the distribution of hitting force and optimize hitting techniques.

[0048] The position sensor is a capacitive position sensor or an electromagnetic induction position sensor, which is installed inside the racket to detect the offset data between the hitting point and the middle of the racket. The contact position between the ball and the racket surface at the moment of hitting is accurately detected by using the capacitance change or electromagnetic induction principle. The offset of the sweet spot position is calculated by comparing multiple hitting data with an accuracy of ±1 mm. The position of the sweet spot is crucial to the hitting effect. Monitoring its offset can help athletes adjust the hitting point and improve the accuracy of hitting. Among them, the sweet spot position is the best hitting area, which is generally the middle of the racket.

[0049] The tension sensor is a strain gauge sensor installed on the racket connection or the key force-bearing part of the racket to detect the rate of change of racket tension. The strain gauge works based on the principle that deformation under force causes resistance change, and monitors the change of racket tension in real time. The measurement range is 0-100 pounds, and the resolution is not less than 0.1 pounds, and the rate of change of racket tension is accurately obtained. Appropriate racket tension affects the power transmission when hitting the ball and the rebound performance of the ball. Monitoring tension changes can provide a reference for athletes to adjust the racket tension.

[0050] The air resistance sensor is a hot wire air velocity sensor or a hot film air velocity sensor, which is installed on the surface of the racket to measure the air resistance data when the racket is in motion. The air velocity on the surface of the racket is measured based on the relationship between air velocity and heat dissipation, and then the air resistance is calculated. The measurement error does not exceed 5%, and the average air resistance value is accurately obtained. Air resistance affects the swing speed and hitting power. Understanding the air resistance situation helps athletes adjust the swing action and rhythm.

[0051] The strain sensor is an optical fiber strain sensor embedded in the edge of the racket and the root of the handle to detect the racket structure strain data. Based on the principle that the optical path changes due to strain when light is transmitted in the optical fiber, the racket structure strain is accurately monitored, and the maximum measurement accuracy of the structural strain reaches ±0.001%. By monitoring the strain, the stability and durability of the racket structure can be evaluated, and potential structural damage risks can be discovered in a timely manner.

[0052] The data transmission module is a Bluetooth data transmission module or a ZigBee data transmission module, which is installed on the pickleball racket, connected to the sensor component, and wirelessly connected to the intelligent analysis system. The low-power, high-stability wireless transmission technology is used to transmit the racket hitting performance data collected by the sensor component to the intelligent analysis system, and it also has automatic sleep and wake-up functions. When the racket is stationary, the data transmission module enters a sleep state to reduce power consumption; when the sensor detects the movement of the racket, such as when the force sensor or acceleration sensor detects a signal change, it quickly wakes up and starts data transmission to ensure timely data collection and transmission.

[0053] The intelligent analysis system has a preset algorithm for processing and analyzing the racket hitting performance data and generating a racket performance report. The intelligent analysis system includes a data receiving module, a data analysis module and a performance evaluation module.

[0054] The data receiving module and the data transmission module are used to receive and transmit the racket hitting performance data. It has a data cache function, which can temporarily store data when the data transmission is unstable to ensure the integrity of the data.

[0055] The data analysis module is connected to the data receiving module and uses the preset algorithm to process and analyze the racket hitting performance data. First, data cleaning is performed to remove interference data such as noise and outliers; then feature extraction is performed, such as extracting key features such as the peak hitting force, the position offset of the sweet spot, the rate of change of the racket tension, the average air resistance, and the maximum structural strain; then data normalization is performed to uniformly process data of different types and magnitudes for subsequent analysis. Use machine learning algorithms (such as neural networks, decision trees, etc.) or statistical analysis methods (such as regression analysis, correlation analysis, etc.) to conduct in-depth analysis of the processed data to explore the relationship between various performance indicators and the laws of their influence on the hitting effect.

[0056] The performance evaluation module is connected to the data analysis module to evaluate the racket performance based on the analysis results and generate a performance report. The performance indicators of the racket in terms of hitting stability (based on the distribution of hitting points, the offset of the sweet spot position, etc.), power transfer efficiency (combined with the analysis of the peak hitting power and the rate of change of the racket tension), control flexibility (considering the average air resistance, gyroscope sensor data, etc.), durability (based on the maximum structural strain evaluation) are determined, and compared with the preset standards (established through a large number of experiments and professional athlete data). For example, the uniformity of the racket surface pressure distribution during hitting is compared with the standard value to determine the hitting stability; the power transfer efficiency is evaluated based on the acceleration and grip data; and the control flexibility is evaluated through the gyroscope data.

[0057] The data storage module is connected to the data receiving module and the data analysis module respectively, and is used to store the historical data and analysis results collected by the sensor component for subsequent query and comparative analysis. By accumulating data over a long period of time, it is possible to observe the changing trend of racket performance over time, and provide data support for racket maintenance, improvement, and adjustment of athlete training plans.

[0058] Working principle: During the use of the pickle ball racket, each sensor in the sensor assembly collects data related to the racket performance in real time. The force sensor array measures the peak force of the shot, the position sensor calculates the position offset of the sweet spot, the tension sensor monitors the rate of change of the racket tension, the air resistance sensor obtains the average value of the air resistance, the strain sensor senses the maximum value of the structural strain, and the gyroscope sensor captures the movement posture of the racket. The collected data is wirelessly transmitted to the intelligent analysis system through the data transmission module. After the data receiving module receives the data, the data analysis module processes and analyzes the data, and the performance evaluation module evaluates the racket performance based on the analysis results and compares it with the preset standard. Finally, a detailed racket performance report is generated, which includes the performance index value, the deviation from the standard value, the performance change trend and improvement suggestions. Athletes and coaches can understand the performance status of the racket based on the report, adjust the training strategy or decide whether to replace the racket; racket manufacturers can use this data to improve product design and product quality.

[0059] Through the design of the above system components and connection relationships, each module works together to achieve a complete process from data collection to racket performance report output. At the same time, the system fully considers the accuracy of data, the effectiveness of algorithms, and the optimization of user experience during the design process to ensure the practicality and reliability of the system.

[0060] In actual application, the sensors in the sensor assembly are installed as follows

[0061] About the installation of the force sensor array. When manufacturing the racket face of a pickleball racket, the layout of the force sensor array is designed. Micro piezoelectric sensor units are selected to facilitate distribution within the limited space of the racket face. These sensor units are embedded in a matrix under the hitting area of ​​the racket face to ensure that each unit can accurately sense the impact force at that position when hitting the ball. The sensor units are firmly fixed using a special high-strength, high-elastic adhesive to ensure that they fit tightly to the racket face to accurately transmit the hitting force without affecting the original hitting performance of the racket face. The electrode leads of the sensor units are made of extremely thin and soft insulated wires, which are orderly led out through the pre-designed micro-wire grooves or dark channels inside the racket body and connected to the data transmission module. The design of the wire grooves and dark channels must avoid affecting the structural strength of the racket, while ensuring that the leads will not be damaged due to frequent swinging during the use of the racket.

[0062] About the installation of position sensors. For capacitive position sensors, multiple sensing electrode patches are precisely pasted at appropriate positions inside the racket face according to the size of the racket face and the distribution of the hitting area. The electrode patches are kept at a specific spacing and angle to achieve full coverage of the entire racket face hitting area, ensuring accurate detection no matter where the ball hits. The wires connecting the electrode patches are made of metal wires with good flexibility, strong conductivity and extremely small diameter, and are connected to the data transmission module through complex channels inside the racket body, avoiding entanglement or interference between the wires and other components during the process. For electromagnetic induction position sensors, key components such as induction coils are precisely installed at corresponding positions inside the racket face to ensure that they can keenly capture the electromagnetic changes generated by the contact between the ball and the racket face at the moment of hitting, thereby accurately detecting the location of the hitting point. Its power cord and signal line are also connected to the data transmission module along the carefully planned channels inside the racket body. The channels need to be treated with necessary protection to prevent moisture and dust from entering and affecting signal transmission.

[0063] About the installation of the tension sensor. Install the strain gauge tension sensor at the connection between the racket and the handle or at the key stress-bearing part inside the racket. If installed at the connection, use a specially designed small clamp to firmly fix the sensor near the connection to ensure that the transmission and change of tension between the racket and the handle can be accurately sensed. If installed inside the racket, during the manufacturing process of the racket, reserve a suitable space to accurately embed the sensor in the corresponding position so that it can effectively monitor the tension inside the racket. The signal transmission line of the sensor is connected to the data transmission module along a specially set channel inside the racket body. The transmission line needs to be properly fixed to avoid friction or pulling with other parts due to shaking during the use of the racket, which affects the stability of signal transmission.

[0064] About the installation of air resistance sensor. Select the positions on the racket surface where air flow has a more critical impact on the performance of the racket, such as the racket head and both sides of the racket body. Use customized small and lightweight brackets to firmly fix the hot wire or hot film air resistance sensors in these positions. During installation, use high-precision measuring tools to ensure that the sensor probe is strictly parallel to the direction of air flow, and the error is controlled within a very small range to ensure that the air flow rate can be accurately measured. The power line and signal line of the sensor are connected to the data transmission module through the carefully laid wire groove inside the racket body. The wire groove needs to be sealed to prevent dust and moisture from entering and affecting the performance of the sensor. At the same time, the direction of the wire groove should avoid adverse effects on the overall structural strength and balance of the racket.

[0065] About the installation of strain sensors. During the racket body molding process, the optical fiber strain sensors are cleverly pre-buried in the key stress-bearing positions inside the racket body, such as the edge of the racket board, the root of the racket handle and other stress concentration areas. The laying path of the optical fiber sensor needs to be optimized according to the results of the racket force analysis to ensure that it can accurately sense the strain of each key part of the racket during the hitting and movement process. The connector part of the optical fiber needs to be specially protected to ensure a stable and reliable connection, and then connected to the data transmission module through a specially planned line inside the racket body to ensure the efficiency and stability of signal transmission.

[0066] About the installation of gyroscope sensors. Select a MEMS gyroscope sensor with stable performance and high precision, and install it in a suitable position inside the racket body, usually near the center of gravity of the racket or an area that can accurately sense the changes in the overall movement posture of the racket. Use a reliable fixing method, such as high-strength adhesive or a small fixing bracket, to ensure that the sensor does not move or loosen during the use of the racket. The power line and signal line of the sensor are connected to the data transmission module through the reasonably laid out lines inside the racket body. The line design needs to consider anti-interference measures to avoid interference with the gyroscope sensor signal from other electronic components, ensuring that the angular velocity and posture changes of the racket in three-dimensional space can be accurately monitored.

[0067] In actual application, the data transmission module is set up as follows:

[0068] According to the use scenarios and actual needs of the pickleball racket, choose the appropriate low-power, high-stability wireless transmission technology. If it is mainly used for personal training or small competition venues, Bluetooth Low Energy (BLE) technology is usually a better choice. Carefully integrate the BLE module inside the racket to ensure its stable connection with the sensor component. Before the athlete uses it, pair the BLE module with the smart mobile device carried by the athlete (such as a smartphone or tablet). Install a specially developed powerful and user-friendly application on the mobile device to receive and intuitively display the racket performance data. By carefully optimizing the parameters of the BLE module, such as reasonably adjusting the broadcast interval, connection interval, transmission power, etc., while ensuring that the data transmission rate meets the real-time monitoring needs, the power consumption is minimized to extend the service life of the built-in battery of the racket.

[0069] ZigBee technology is more advantageous for large-scale competition venues or scenarios that require large-scale data collection and centralized analysis (such as professional training bases, test environments of scientific research institutions, etc.). ZigBee coordinators are reasonably arranged in the venue, and the ZigBee modules in the rackets are added to the pre-built stable network as terminal devices. The coordinator is connected to the server or local computer via wired or wireless means to efficiently transmit a large amount of racket performance data collected to the intelligent analysis system. When building a ZigBee network, key parameters such as network topology, channels, and PAN ID are carefully configured to ensure network stability and data transmission reliability. At the same time, network security is highly valued, and advanced encryption technology (such as AES encryption algorithm) is used to encrypt the transmitted data to prevent data from being stolen or tampered with during transmission, and to ensure data integrity and confidentiality.

[0070] In practical applications, the intelligent analysis system construction and algorithm implementation are as follows:

[0071] Hardware platform construction, choose high-performance servers or cloud computing platforms to build the hardware foundation of the intelligent analysis system, ensure that it has strong computing power and sufficient storage capacity to cope with the massive racket performance data processing needs. Install a reliable operating system (such as Linux or Windows Server) on the server side, and select a suitable database management system (such as MySQL, MongoDB, etc.) according to data characteristics and analysis needs to efficiently store massive historical data collected by sensors, intermediate analysis results, and preset performance standard data. The hardware configuration of the server needs to be reasonably selected according to the actual application scale, including the number of CPU cores, memory size, hard disk storage capacity, and read and write speeds, to ensure the efficient operation of the system when processing large amounts of data.

[0072] In practical applications, the algorithm programming and implementation are as follows:

[0073] Data cleaning algorithm, write efficient data cleaning program, use a variety of filtering techniques (such as mean filtering, median filtering, Kalman filtering, etc.) to process the raw data collected by the sensor, and effectively remove noise, outliers and other interfering data. For example, for force sensor data, by setting a reasonable force range threshold, identify and remove abnormal data points that obviously exceed the normal batting force range; for position sensor data, use spatial position relationship and motion trajectory continuity to detect and correct outliers. At the same time, use data interpolation algorithm to supplement the small amount of missing data that may exist to ensure the continuity and integrity of the data.

[0074] Feature extraction algorithm, based on the characteristics of different sensor data and the correlation with racket performance, the feature extraction algorithm is carefully designed. For the force sensor array data, the peak value of the hitting force, the average force, the variance of the force distribution and other features are extracted to fully describe the hitting force; from the position sensor data, the sweet spot position offset, the distribution density of the hitting point and other features are accurately calculated to evaluate the accuracy and stability of the hitting; based on the tension sensor data, the racket tension change rate, the average tension and other features are calculated to reflect the racket tension state; from the air resistance sensor data, the air resistance average value, the resistance change trend and other features are obtained to analyze the aerodynamic performance; based on the strain sensor data, the maximum value of the structural strain, the strain distribution pattern and other features are extracted to evaluate the health of the racket structure; from the gyroscope sensor data, the racket angular velocity peak value, the rotation angle change range and other features are extracted to analyze the flexibility of racket control.

[0075] The data normalization algorithm uses appropriate data normalization methods (such as minimum-maximum normalization, Z-score normalization, etc.) to process the extracted feature data, uniformly mapping data of different types and magnitudes to a specific interval (such as between 0 and 1 or a normal distribution with a mean of 0 and a standard deviation of 1), eliminating the dimensional differences between the data, and facilitating subsequent data analysis and model training. For example, the batting force data and tension data are normalized to the interval of 0 to 1, so that different sensor data can be compared and analyzed at the same order of magnitude.

[0076] Data analysis algorithm, a variety of machine learning algorithms and statistical analysis methods are used to conduct in-depth analysis of normalized data. For batting stability analysis, cluster analysis algorithms (such as K-Means clustering) can be used to cluster the batting point position data, and the batting stability can be judged based on the clustering results and the sweet spot position offset; regression analysis (such as linear regression, polynomial regression, etc.) is used to establish a relationship model between batting power, ball speed, and batting effect, and evaluate the efficiency of power transmission; principal component analysis (PCA) and other methods are used to reduce the dimension of multi-sensor data, extract key principal components, simplify the data structure, and retain the main information, and then use support vector machine (SVM) or neural network classification algorithms to classify and predict the racket performance status (such as normal, abnormal wear, structural damage, etc.); with the help of time series analysis methods (such as ARIMA model), trend analysis is performed on the long-term accumulated racket performance data to predict the trend of racket performance changes and discover potential problems in advance. During the algorithm selection and application process, continuous optimization and adjustment are carried out according to the actual data characteristics and analysis objectives, and the best algorithm model and parameters are selected through cross-validation and other techniques to improve the accuracy and reliability of the analysis results.

[0077] The performance evaluation module algorithm establishes a scientific and reasonable racket performance evaluation index system and preset standards based on a large amount of experimental data and actual usage data of professional athletes. For example, the normal range and threshold of each performance indicator are determined according to the range of hitting power of athletes of different levels, the tolerance of sweet spot position change, the reasonable range of racket tension, the standard value of air resistance, and the safe range of racket structure strain. The performance evaluation module compares the data analysis results with the preset standards, calculates the degree of deviation of each performance indicator from the standard value, and comprehensively evaluates the performance level of the racket in terms of hitting stability, power transmission efficiency, control flexibility, durability, etc. (such as excellent, good, qualified, unqualified, etc.) according to the deviation and weight distribution. At the same time, detailed and targeted improvement suggestions are generated based on the evaluation results. For example, when the hitting stability is poor, it is recommended that athletes adjust the hitting posture and strengthen the perception training of the sweet spot; when the racket tension is abnormal, it reminds athletes to check the racket or adjust the tension; when the structural strain is close to the safety threshold, it prompts manufacturers to pay attention to whether the racket structure design or material selection is reasonable and whether optimization and improvement are needed.

[0078] This case is applied in athlete training scenarios as follows:

[0079] A professional pickleball player uses a racket equipped with the monitoring device of the present invention in daily training. During the training process, the force sensor array accurately records the force of each position at each hit in real time. The athlete can intuitively see the distribution of the hitting force through the supporting mobile application and find the concentrated area and weak point of his hitting force. The position sensor accurately captures the position of the hitting point. After multiple hits, the athlete can clearly understand the stability of his sweet spot position and the deviation of the hitting point, and adjust the hitting action accordingly to improve the accuracy of the hitting.

[0080] The tension sensor continuously monitors the changes in the racket tension. When the tension deviates from the optimal range, the athlete adjusts the racket tension in time according to the prompts of the application to ensure that the power transmission and the rebound performance of the ball are in the best state when hitting the ball. The average air resistance data provided by the air resistance sensor helps athletes analyze the impact of air resistance on the swing under different swing speeds and hitting actions, thereby optimizing the swing action and reducing unnecessary energy loss. The maximum structural strain monitored by the strain sensor allows athletes to understand the force applied to the racket during the hitting process and avoid damage to the racket due to excessive force. The gyroscope sensor data reflects the changes in the racket's posture during the movement, and athletes can use this to improve the swing trajectory and rotation action and increase control flexibility.

[0081] During a training session, the athlete found that the peak power of the batting force was lower than before, and the sweet spot position was offset by a large amount. By checking the performance report, it was found that the recent change in batting posture caused the force to be not smooth and the hitting point to be unstable. According to the improvement suggestions in the report, the athlete adjusted the batting posture. After a period of training, the batting power and sweet spot position gradually returned to normal, and the batting effect was significantly improved.

[0082] The specific application scenarios of this case in racket development are as follows:

[0083] During the development of new products, a racket manufacturer selected several athletes of different levels and batting styles to use prototype rackets equipped with monitoring devices for long-term testing. During the testing process, a large amount of racket performance data covering different batting conditions (such as different venues, different weather, different batting speeds and powers, etc.) was collected. Through analysis of these data, the manufacturer found that in high temperature environments, the rate of change of the racket tension of some rackets exceeded the expected range, affecting the batting performance. Further research found that the racket tension was unstable due to the large thermal expansion coefficient of a certain material used at high temperatures. Therefore, the R&D team adjusted the material formula and selected materials with better thermal stability. The performance of the improved racket in high temperature environments was significantly improved.

[0084] At the same time, by analyzing the performance data of rackets under different hitting styles, it was found that for power athletes, the maximum structural strain of the racket under high hitting power is close to the safety threshold, and there is a certain risk of structural damage. In response to this problem, the manufacturer strengthened the structural design of key parts of the racket, added reinforcement materials, and improved the durability of the racket. After multiple rounds of improvements and testing, the new products finally launched have significantly improved in various performance indicators and have received good market response.

[0085] 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 pickle ball racket performance intelligent monitoring device, characterized in that: Included A pickleball racket, which is composed of a racket blade, a racket handle, and a racket connecting part connecting the racket blade and the racket handle; A sensor assembly is provided on the pickleball racket and is used to collect the racket hitting performance data; Intelligent analysis system, with preset algorithms, for processing and analyzing racket hitting performance data and generating racket performance reports; A data transmission module is provided on the pickleball racket, connected to the sensor assembly, and wirelessly connected to the intelligent analysis system, and is used to transmit the racket hitting performance data to the intelligent analysis system; The sensor components include The force sensor array is distributed on the hitting area of ​​the racket face to measure the force data at each point when hitting the ball; A position sensor is arranged inside the racket and is used to detect the offset data between the hitting point and the middle of the racket; A tension sensor is installed on the racket connection part or in the racket board, and is used to detect the rate of change of racket board tension; The air resistance sensor is set on the surface of the racket to measure the air resistance data when the racket is in motion; The strain sensor is embedded in the edge of the racket board and the root of the handle inside the racket body to detect the strain data of the racket structure.

2. The intelligent monitoring device for pickle ball racket performance according to claim 1, characterized in that: The force sensor array consists of multiple piezoelectric sensor units.

3. The intelligent monitoring device for pickle ball racket performance according to claim 1, characterized in that: The position sensor is a capacitive position sensor or an electromagnetic induction position sensor.

4. The intelligent monitoring device for pickle ball racket performance according to claim 1, characterized in that: The tension sensor is a strain gauge type sensor.

5. The intelligent monitoring device for pickle ball racket performance according to claim 1, characterized in that: The air resistance sensor is a hot wire air velocity sensor or a hot film air velocity sensor.

6. The intelligent monitoring device for pickleball racket performance according to claim 1, characterized in that: The strain sensor is an optical fiber strain sensor.

7. The intelligent monitoring device for pickleball racket performance according to claim 1, characterized in that: The data transmission module is a Bluetooth data transmission module or a ZigBee data transmission module.

8. The intelligent monitoring device for pickleball racket performance according to claim 1, characterized in that: Intelligent analysis system includes The data receiving module and the data transmission module are used to receive and transmit the racket hitting performance data; The data analysis module is connected to the data receiving module and processes and analyzes the racket hitting performance data using a preset algorithm; The performance evaluation module is connected with the data analysis module, evaluates the racket performance according to the analysis result, and generates a performance report.

9. The intelligent monitoring device for pickleball racket performance according to claim 8, characterized in that: The intelligent analysis system also includes The data storage module is connected to the data receiving module and the data analysis module respectively, and is used to store the historical data and analysis results collected by the sensor component.

10. A method for intelligently monitoring the performance of a pickle ball racket using the device according to any one of claims 1 to 9, characterized in that: Included S1, data collection step, collecting racket hitting performance data in real time through each sensor in the sensor assembly; S2, a data transmission step, using the data transmission module to transmit the racket hitting performance data collected by the sensor component to the intelligent analysis system through the data transmission module; S3, data analysis step, the intelligent analysis system performs data cleaning, feature extraction and data normalization on the received racket hitting performance data, and uses a preset algorithm to analyze the processed data; S4, performance evaluation step, the intelligent analysis system evaluates the racket performance according to the data analysis results and compares it with the preset standard data; S5, a report generating step, generating a detailed racket performance report according to the performance evaluation result.

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