Badminton multi-dimensional continuous rebound training device with intelligent feedback function

Abstract

The invention discloses a shuttlecock multi-dimensional continuous rebound training device with an intelligent feedback function. The shuttlecock multi-dimensional continuous rebound training device comprises a three-stage composite rebound plate assembly, an angle adjusting structure, an intelligent data interaction terminal and a pneumatic balance suspension system. The three-stage composite rebound plate assembly comprises an impact absorbing layer, a piezoelectric sensing array and a supporting and adjusting layer, the impact absorbing layer is made of ultra-high molecular weight polyethylene enhanced thermoplastic elastomer and has high rebound resilience, and the piezoelectric sensing array is used for collecting impact force, contact time and action point coordinates of badminton impact; the angle adjusting structure achieves stepless adjustment of the rebound angle through the hydraulic supporting frame. Through the dynamic feedback type rebound plate structure and the data fusion processing system, continuous hitting training, accurate parameter feedback and diversified training mode support are achieved, the training efficiency and hitting accuracy are effectively improved, and the badminton training device is suitable for badminton training of athletes of different levels.

Description

Technical Field

[0001] The present invention relates to the technical field of badminton training devices, and particularly relates to a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function. Background Art

[0002] Badminton, as a highly technical sport, places high demands on athletes' hitting accuracy, power control, and continuous hitting ability. With the popularization of badminton and the continuous improvement of the competitive level, training equipment plays an increasingly important role in improving athletes' technical levels. However, existing badminton training devices have significant deficiencies in functionality and intelligence, making it difficult to meet modern training requirements.

[0003] Traditional badminton training devices mainly include fixed rebound devices and suspended training devices. The fixed rebound device usually realizes the simple rebound of the badminton through a rebound board made of hard materials. After the athlete hits the badminton, the badminton hits the rebound board and returns, enabling the user to conduct repeated hitting training. However, this device can only provide basic rebound functions and cannot collect key parameters during the hitting process, such as impact force, contact time, and hitting point distribution. As a result, athletes cannot intuitively understand the quality of their hits and it is difficult to improve their techniques targeted. In addition, due to the fixed rebound angle and single training mode, it cannot meet diverse training needs, such as special technical training for high clear shots, smashes, and flat drives.

[0004] The suspended training device suspends the badminton at a fixed position through a rubber rope, and after hitting, the badminton relies on the elasticity of the rubber rope to reset, thus realizing continuous hitting training. This device improves the continuity of training to a certain extent, but its main defect is the lack of a feedback mechanism for the hitting trajectory. Athletes cannot know the movement trajectory and landing accuracy of the badminton, and the training effect is difficult to quantify. For example, existing suspended devices cannot record the rebound angle and speed of the badminton after hitting, nor can they analyze whether the hitting points are concentrated in the target area, limiting the scientific nature and pertinence of training.

[0005] In recent years, some intelligent badminton training auxiliary devices, such as intelligent rackets, have emerged on the market. These intelligent rackets are equipped with acceleration sensors and gyroscopes, which can record parameters such as swing speed and swing angle, providing certain technical feedback for athletes. However, the feedback data of intelligent rackets mainly focuses on the swing action itself and cannot obtain the hitting effect parameters after the badminton contacts the target, such as the magnitude of the impact force, the length of the contact time, and the distribution of the hitting points. The hitting effect is one of the core indicators in badminton training, especially in accuracy training, and the landing control accuracy directly affects the game performance. The International Badminton Federation standard requires that the landing accuracy of the game ball be controlled within ±2 cm, and existing intelligent rackets cannot provide feedback at this level, making it difficult to meet the needs of high-level training.

[0006] In view of the above problems, there is an urgent need for a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function to solve the above problems. Summary of the Invention

[0007] The purpose of the present invention is to solve the existing technical problems proposed in the above background technology, and provide a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function.

[0008] The present invention achieves the above purpose through the following solutions:

[0009] A badminton multi-dimensional continuous rebound trainer with an intelligent feedback function, characterized in that it includes a three-stage composite rebound plate assembly, an angle adjustment structure and an intelligent data interaction terminal, wherein the three-stage composite rebound plate assembly is installed on the angle adjustment structure, and the angle adjustment structure is installed on the support base;

[0010] The three-stage composite rebound plate assembly includes a bottom plate, an impact absorption layer, and a piezoelectric sensor array. The impact absorption layer is arranged on the bottom plate, and the impact absorption layer uses ultra-high molecular weight polyethylene reinforced thermoplastic elastomer. The piezoelectric sensor array is arranged between the bottom plate and the impact absorption layer, and the piezoelectric sensor array is electrically connected to the intelligent data interaction terminal. The intelligent data interaction terminal is built with an intelligent data feedback system, and the impact force F of the badminton impact is calculated by: F = m·(v out - v in ) / Δt, where m is the mass of the badminton, v in and v out are the incident and rebound speeds, and Δt is the contact time to achieve continuous hitting training and multi-dimensional dynamic feedback.

[0011] As a preferred technical solution of the present invention, the angle adjustment structure includes a hydraulic rod. The output shaft of the hydraulic rod is provided with a roller, and the roller is movably connected to the back of the bottom plate. A groove for placing the roller is opened on the back of the bottom plate, and the bottom end of the hydraulic rod is movably connected to the support base.

[0012] As a preferred technical solution of the present invention, the three-stage composite rebound plate assembly further includes a support adjustment layer, which is located below the impact absorption layer and the piezoelectric sensor array, and is made of a high-rigidity composite material. Its stiffness k = E·A / L, where E is the elastic modulus, A is the cross-sectional area, and L is the thickness. k is not less than 5x10 4 N / m to provide structural support for the rebound plate.

[0013] As a preferred technical solution of the present invention, the area of the impact absorption layer is 1.5m×1.2m, and its resilience coefficient where h in is the incident height, h outLet the rebound height be \(h\), \(e>0.82\). The impact absorption layer, piezoelectric sensing array, and angle adjustment structure together form a dynamic feedback type rebound board structure, supporting continuous hitting.

[0014] As a preferred technical solution of the present invention, the piezoelectric sensing array is composed of a distributed PVDF sensor network with a spacing of 10 - 15 mm, used to collect the impact force \(F\), contact time \(\Delta t\), and the coordinate of the action point \((x,y)\) of the badminton impact. Calculate through \(x=\sum(x\cdot F) / \sum F\) i ·F i ), \(y = \sum(y\cdot F) / \sum F\) i , where \((x,y)\) is the sensor position and \(F\) i ·F i ) is the force data measured by a single sensor. i Calculated, where \((x,y)\) i , \(y\) i ) is the sensor position, and \(F\) i is the force data measured by a single sensor.

[0015] As a preferred technical solution of the present invention, the angle adjustment structure adjusts the badminton rebound speed direction \(v\) by controlling the rebound angle \(\theta\) out =e·v in ·cos(2\(\theta\)), where \(e\) is the rebound coefficient and \(v\) in is the incident speed, realizing the switching of different training modes.

[0016] As a preferred technical solution of the present invention, the intelligent data interaction terminal includes a display screen and a data processing module, receiving the data of the piezoelectric sensing array through the BLE5.0 + Wi-Fi dual-mode transmission protocol, with a sampling frequency of 2000 Hz and a sampling time interval \(\Delta t\) s =1 / f s , and real-time displaying the hitting parameters and supporting data fusion processing.

[0017] As a preferred technical solution of the present invention, the intelligent data feedback system includes a hitting parameter acquisition module, a trajectory prediction module, and an effect evaluation module. Among them, the trajectory prediction module predicts the badminton movement trajectory through the 3D trajectory formula, and the formula is:

[0018] x(t)=x0 + v x0 ·t;

[0019] y(t)=y0 + v y0 ·t;

[0020] where \((x0,y0,z0)\) is the impact point, \(v\) x0 =v out ·cos(\(\theta\)), g = 9.8m / s 2 .

[0021] As a preferred technical solution of the present invention, the effect evaluation module quantifies the training effect through the batting quality index.

[0022] SQI=w1·F / F max +w2·Δt opt / Δt+w3·(1-d / d max )

[0023] where F max =300N,Δt opt =0.01s,

[0024] is the drop point deviation, d max =0.02m, w1, w2, w3 are weights and the sum is 1.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention significantly improves the continuity and efficiency of badminton training through the synergy of the dynamic feedback rebound plate structure and the pneumatic balance suspension system. Traditional training devices are limited by the insufficient angle fixation and reset ability of the rebound plate, and the number of consecutive hits of a single ball is small. The present invention uses the high resilience of the impact absorption layer and the adjustable reset force of the pneumatic balance suspension system to enable a single ball to achieve longer continuous hits, reduce training interruptions, and help athletes complete more hitting exercises in a short time, thereby effectively improving training efficiency.

[0027] The present invention realizes the accurate collection and real-time feedback of batting parameters through piezoelectric sensor array and intelligent data feedback system, providing scientific training guidance for athletes. The piezoelectric sensor array can collect impact force, contact time and action point coordinates, and accurately predict the landing point of badminton in combination with the 3D trajectory formula of the trajectory prediction module to achieve high-precision standards. The effect evaluation module quantifies the training effect through the batting quality index, intuitively presents key indicators such as batting force and landing point deviation, and helps athletes and coaches to adjust batting techniques and strategies in a targeted manner and improve their technical level.

[0028] The present invention supports a variety of training modes, meets the needs of different scenarios and levels, and has strong practicality and promotion value. The angle adjustment structure can flexibly adjust the rebound angle, support a variety of special training modes such as high balls, smashes, flat shots, etc., and meet the training needs of beginners to professional athletes. The intelligent data interaction terminal displays data in real time through a dual-mode transmission protocol, and supports data storage and historical comparison, which is convenient for users to analyze training progress. The movable support seat design of the device makes it suitable for homes, clubs and professional training venues, which significantly improves the intelligence level and application scope of badminton training equipment. . BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0030] Figure 1 It is a schematic diagram of the overall structure of a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function of the present invention;

[0031] Figure 2 It is a schematic diagram of the structure of a three-stage composite rebound plate assembly of a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function of the present invention.

[0032] Among them, 1 is the three-stage composite rebound plate assembly; 2 is the angle adjustment structure; 3 is the support base; 11 is the bottom plate; 12 is the shock absorption layer; 13 is the piezoelectric sensor array; 14 is the support adjustment layer; 21 is the hydraulic rod. Specific Embodiments

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0034] Embodiment 1: Refer to Figure 1 and Figure 2 , a badminton multi-dimensional continuous rebound trainer with an intelligent feedback function, includes a three-stage composite rebound plate assembly 1, an angle adjustment structure 2 and an intelligent data interaction terminal. Among them, the three-stage composite rebound plate assembly 1 is installed on the angle adjustment structure 2, the angle adjustment structure 2 is installed on the support base 3, and the bottom end of the hydraulic rod 21 is movably connected to the support base 3;

[0035] The angle adjustment structure 2 includes a hydraulic rod 21. A roller is provided on the output shaft of the hydraulic rod 21. The roller is movably connected to the back of the bottom plate 11. A groove for placing the roller is opened on the back of the bottom plate 11. The angle adjustment structure 2 adjusts the badminton rebound speed direction v by controlling the rebound angle θ out = e·v in ·cos(2θ), where e is the rebound coefficient and v in is the incident speed, to achieve the switching of different training modes.

[0036] The three - stage composite rebound board assembly 1 includes a bottom plate 11, a shock - absorbing layer 12, and a piezoelectric sensing array 13. The shock - absorbing layer 12 is arranged on the bottom plate 11. The shock - absorbing layer 12 uses ultra - high - molecular - weight polyethylene reinforced thermoplastic elastomer. The piezoelectric sensing array 13 is arranged between the bottom plate 11 and the shock - absorbing layer 12. The three - stage composite rebound board assembly 1 also includes a support and adjustment layer 14. The support and adjustment layer 14 is located below the shock - absorbing layer 12 and the piezoelectric sensing array 13 and is made of a high - rigidity composite material. Its stiffness k = E·A / L, where E is the elastic modulus, A is the cross - sectional area, and L is the thickness. k is not less than 5x10 4 N / m, providing structural support for the rebound board. The area of the shock - absorbing layer 12 is 1.5m×1.2m, and its rebound coefficient where h in is the incident height, h out is the rebound height, e > 0.82. The shock - absorbing layer 12, the piezoelectric sensing array 13, and the angle - adjustment structure 2 together form a dynamic feedback - type rebound board structure, supporting continuous hitting. The piezoelectric sensing array 13 is composed of a distributed PVDF sensor network with a spacing of 10 - 15mm, used to collect the impact force F, contact time Δt, and the coordinates of the action point (x,y) of the badminton impact. Through x = ∑(x i ·F i ) / ∑F i , y = ∑(y i ·F i ) / ∑F i calculate, where (x i , y i ) is the sensor position, and F i is the force data measured by a single sensor.

[0037] The piezoelectric sensing array 13 is electrically connected to the intelligent data interaction terminal. The intelligent data interaction terminal has an intelligent data feedback system built - in. By calculating the impact force F of the badminton impact: F = m·(v out -v in ) / Δt, where m is the mass of the badminton, v in and v out are the incident and rebound velocities, and Δt is the contact time to achieve continuous hitting training and multi - dimensional dynamic feedback.

[0038] The intelligent data interaction terminal includes a display screen and a data - processing module, receives piezoelectric sensing array data through a dual - mode transmission protocol, with a sampling frequency of 2000Hz, and the sampling time interval Δt s = 1 / f s , and displays the hitting parameters in real - time and supports data fusion processing.

[0039] The intelligent data feedback system includes a hitting parameter acquisition module, a trajectory prediction module, and an effect evaluation module. Among them, the trajectory prediction module predicts the badminton movement trajectory through a 3D trajectory formula, and the formula is:

[0040] x(t) = x0 + v x0 ·t;

[0041] y(t) = y0 + v y0 ·t;

[0042] where (x0, y0, z0) is the impact point, v x0 = v out ·cos(θ), g = 9.8m / s 2 ;

[0043] The effect evaluation module quantifies the training effect through the hitting quality index

[0044] SQI = w1·F / F max + w2·Δt opt / Δt + w3·(1 - d / d max )

[0045] where F max = 300N, Δt opt = 0.01s,

[0046] is the landing point deviation, d max = 0.02m, w1, w2, w3 are weights and the sum is 1.

[0047] Example 2: This trainer includes a three - stage composite rebound plate assembly 1, an angle adjustment structure 2, and an intelligent data interaction terminal.

[0048] The three - stage composite rebound plate assembly 1 is installed on the angle adjustment structure 2 through bolts. The angle adjustment structure 2 is installed on the support base through fixed bolts. The support base adopts a movable structure and is provided with universal wheels at the bottom to support the position adjustment of the trainer.

[0049] The three - stage composite rebound plate assembly 1 is composed of a bottom plate 11, a shock absorption layer 12, a piezoelectric sensor array 13, and a support adjustment layer 14. The bottom plate 11 serves as the basic structure, is located at the bottom layer, and is directly connected to the angle adjustment structure 2.

[0050] The support adjustment layer 14 is located above the bottom plate 11 and is made of a high - rigidity carbon fiber - reinforced composite material. Its thickness is 10mm, the cross - sectional area A is 1.8m², and the elastic modulus E is 150GPa. Its stiffness is calculated by the formula k = E·A / L, where L is the thickness of 0.01m, and k = 150×109 · 1.8 / 0.01 = 2.7×10 13 N / m, which is much higher than the requirement of 5x104 N / m, providing sufficient structural support.

[0051] The impact absorption layer 12 is located at the topmost layer and is made of ultra-high molecular weight polyethylene (UHMWPE) reinforced thermoplastic elastomer with an elastic modulus of 1.5 GPa and a resilience rate of 282%. Through experiments, it is determined that when a badminton falls freely from a height of 1 m onto the impact absorption layer 12, the rebound height h out is 0.85 m, the incident height h in is 1 m, and the resilience coefficient is calculated to meet the requirement of 20.82, ensuring the efficient rebound of the badminton.

[0052] The piezoelectric sensing array 13 is located between the impact absorption layer 12 and the support adjustment layer 14 and adopts a distributed PVDF (polyvinylidene fluoride) sensor network with a sensor spacing of 12 mm and a total of 120 sensors arranged. Each sensor can collect the impact force F, contact time Δt, and the coordinates of the action point (x, y) of the badminton impact.

[0053] Taking one hit as an example, the mass of the badminton m = 0.005 lg, the incident velocity v in = 10 m / s, the rebound velocity v out = 8 m / s, the contact time Δt = 0.01 s. Through the formula F = m·(v out - v in ) / Δt, the impact force F = 0.005·(8 - 10) / 0.01 = -1 (the negative sign indicates the opposite direction, and the absolute value is actually taken).

[0054] The coordinates of the action point are calculated through the formulas x = ∑(x i · F i ) / ∑F i , y = ∑(y i · F i ) / ∑F i Calculated. Assuming that a certain hit triggers 5 sensors, the coordinates and forces are (x1, y1) = (0.5, 0.5) m, F1 = 0.2 N, (x2, y2) = (0.52, 0.5) m, F2 = 0.3 N, (x3, y3) = (0.5, 0.52) m, F3 = 0.2 N, (x4, y4) = (0.48, 0.5) m, F4 = 0.2 N, (x5, y5) = (0.5, 0.48) m, F5 = 0.1 N, and the total force ∑F i = 1 N, calculate x

[0055] =(0.5·0.2 + 0.52·0.3 + 0.5·0.2 + 0.48·0.2 + 0.5·0.1) / 1 = 0.502m。

[0056] The angle adjustment structure 2 uses a hydraulic support frame, which includes a hydraulic rod 21. The adjustment range is 0 - 30°. The angle θ is controlled by a manual knob. Taking high - arch badminton training as an example, set θ = 15° (i.e., 0.262rad), the rebound coefficient e = 0.92, and the incident velocity v in = 10m / s. Through the formula v out = e·v in ·cos(2θ) to calculate the rebound velocity v out = 0.92·10·cos(2·0.262) = 0.92·10·0.866 = 7.97m / s, achieving the adjustment of the rebound direction and supporting the switching of different training modes.

[0057] The intelligent data interaction terminal receives the data of the piezoelectric sensing array 13 through the BLE5.0 + WiFi dual - mode transmission protocol. The sampling frequency is 2000Hz. The sampling time interval is calculated by the formula Δt s = 1 / f s Calculate, Δt s = 1 / 2000 = 0.0005s. The intelligent data feedback system includes a hitting parameter acquisition module, a trajectory prediction module, and an effect evaluation module. The hitting parameter acquisition module calculates the impact force F, the contact time Δt, and the acting point coordinates (x, y) based on the data of the piezoelectric sensing array 13.

[0058] The trajectory prediction module predicts the badminton movement trajectory through the 3D trajectory formula. Taking the above - mentioned hit as an example, the impact point (x0, y0, z0) = (0.502, 0.502, 0)m, v out = 7.97m / s, θ = 0.262rad, calculate the initial velocity components v x 0 = v out ·cos(θ) = 7.97·cos(0.262) = 7.66m / s, v y 0 = v out ·sin(θ) = 7.97·sin(0.262) = 2.07m / s. Through the formulas x(t) = x0 + v x0 ·t, y(t) = y0 + v y0 ·t, Predict the trajectory.

[0059] Assume the flight time t f = 0.5s, then x(0.5) = 0.502 + 7.66·0.5 = 4.332m, y(0.5) = 0.502 + 2.07·0.5 = 1.537m, The landing point is (4.332, 1.537, 0) m.

[0060] The effect evaluation module quantifies the training effect through the hitting quality index SQI. Taking the target landing point (x target , y target ) = (4.35, 1.55) m as an example, the landing point deviation d max = 0.02 m, d / d max > 1, and the value is 1.

[0061] The impact force F = 1 N, F max = 300 N, Δt = 0.01 s, Δt opt = 0.01 s, the weights w1 = 0.4, w2 = 0.3, w3 = 0.3, calculate SQI = 0.4·1 / 300 + 0.3·0.01 / 0.01 + 0.3·(1 - 1) = 0.0013 + 0.3 + 0 = 0.3013.

[0062] The SQI value is displayed through the intelligent data interaction terminal, supporting 8 special training modes such as high and far shots and smashes.

[0063] Through the above structure and calculation, this embodiment realizes a dynamic feedback type rebounding board structure and a data fusion processing system, meeting the requirements of continuous hitting, parameter collection, trajectory prediction and effect evaluation.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A badminton multi-dimensional continuous rebound trainer with an intelligent feedback function, characterized in that, It includes a three - stage composite rebound plate assembly (1), an angle adjustment structure (2) and an intelligent data interaction terminal. The three - stage composite rebound plate assembly (1) is installed on the angle adjustment structure (2), and the angle adjustment structure (2) is installed on the support base (3). The three - stage composite rebound board assembly (1) includes a bottom plate (11), a shock - absorbing layer (12), and a piezoelectric sensing array (13). The shock - absorbing layer (12) is disposed on the bottom plate (11), and the shock - absorbing layer (12) is made of ultra - high molecular weight polyethylene reinforced thermoplastic elastomer. The piezoelectric sensing array (13) is disposed between the bottom plate (11) and the shock - absorbing layer (12), and the piezoelectric sensing array (13) is electrically connected to an intelligent data interaction terminal. The intelligent data interaction terminal is built - in with an intelligent data feedback system. By calculating the impact force F of the badminton hitting: F = m·(v out -v in ) / Δt, where m is the mass of the badminton, v in and v out are the incident and rebound velocities, and Δt is the contact time to achieve continuous hitting training and multi - dimensional dynamic feedback.

2. The multi-dimensional continuous rebound trainer for badminton with an intelligent feedback function according to claim 1, characterized in that The angle adjustment structure (2) includes a hydraulic rod (21). A roller is arranged on the output shaft of the hydraulic rod (21). The roller is movably connected to the back of the bottom plate (11). A groove for placing the roller is formed on the back of the bottom plate (11). The bottom end of the hydraulic rod (21) is movably connected to the support base (3).

3. The multi-dimensional continuous rebound trainer for badminton with an intelligent feedback function according to claim 1, characterized in that, The three - stage composite rebound plate assembly (1) further includes a support and adjustment layer (14). The support and adjustment layer (14) is located below the shock absorption layer (12) and the piezoelectric sensing array (13), and is made of a high - rigidity composite material. Its stiffness k = E·A / L, where E is the elastic modulus, A is the cross - sectional area, and L is the thickness. The value of k is not less than 5x10 4 N / m, providing structural support for the rebound plate.

4. An intelligent feedback function badminton multi-dimensional continuous rebound trainer according to claim 1, characterized in that, The impact absorption layer (12) has an area of 1.5 m × 1.2 m, and its resilience coefficient where h in is the incident height, h out is the rebound height, e > 0.

82. The impact absorption layer (12), piezoelectric sensing array (13) and angle adjustment structure (2) together form a dynamic feedback type rebound plate structure, supporting continuous hitting.

5. An intelligent feedback function badminton multi-dimensional continuous rebound trainer according to claim 1, characterized in that The piezoelectric sensing array (13) is composed of a distributed PVDF sensor network with a spacing of 10 - 15 mm, and is used to collect the impact force F, contact time Δt, and acting point coordinates (x, y) of the badminton impact. The x coordinate is calculated by x = ∑(x i ·F i ) / ∑F i , and the y coordinate is calculated by y = ∑(y i ·F i ) / ∑F i . Here, (x i , y i ) are the sensor positions, and F i is the force data measured by a single sensor.

6. The multi-dimensional continuous rebound trainer for badminton with an intelligent feedback function according to claim 1, characterized in that, The angle adjustment structure (2) adjusts the badminton rebound speed direction v by controlling the rebound angle θ out = e·v in ·cos(2θ), where e is the rebound coefficient and v in is the incident speed, realizing the switching of different training modes.

7. An intelligent feedback function badminton multi-dimensional continuous rebound trainer according to claim 1, characterized in that, The intelligent data interaction terminal includes a display screen and a data processing module, receives piezoelectric sensor array data through the BLE5.0 + WiFi dual-mode transmission protocol, with a sampling frequency of 2000 Hz and a sampling time interval Δt s = 1 / f s , and displays the hitting parameters in real time and supports data fusion processing.

8. An intelligent feedback function badminton multi-dimensional continuous rebound trainer according to claim 1, characterized in that, The intelligent data feedback system includes a hitting parameter acquisition module, a trajectory prediction module and an effect evaluation module. The trajectory prediction module predicts the badminton movement trajectory through a 3D trajectory formula. The formula is: x(t) = x0 + v x0 ·t; y(t) = y0 + v y0 ·t; where (x0, y0, z0) is the impact point, v x0 = v out ·cos(θ), v y0 = v out ·sin(θ), g = 9.8 m / s 2 .

9. The multi-dimensional continuous rebound trainer for badminton with an intelligent feedback function according to claim 8, characterized in that, The effect evaluation module quantifies the training effect SQI through the hitting quality index: SQI = w1·F / F max + w2·Δt opt / Δt + w3·(1 - d / d max ) Among which F max = 300 N, Δt opt = 0.01 s, is the landing point deviation, d max = 0.02 m, w1, w2, and w3 are weights and their sum is 1.

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