Intelligent skipping rope handle based on 2.4 G

Abstract

The invention discloses an intelligent skipping rope handle based on 2.4 G, and relates to the technical field of skipping rope handles. The intelligent skipping rope handle comprises a first handle, a control unit and a display screen are sequentially arranged on the outer side of the circumference of the first handle, a bearing is arranged at the top end in the first handle, a limiting block is arranged at the bottom end of the bearing, and a skipping rope penetrates through the limiting block; the skipping rope is matched with the limiting blocks through the buckle assemblies. A second handle is arranged at the bottom end of the first handle, a protection assembly is arranged on the circumferential outer side of the second handle, and a dismounting assembly is arranged at the inner bottom end of the second handle. By arranging the buckle assembly, the length of the skipping rope can be simply, conveniently and rapidly replaced or adjusted according to personal requirements, the efficiency and comfort during exercise are remarkably improved, the frequency of overall replacement due to abrasion of the skipping rope is greatly reduced, and therefore the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of rope skipping handles, and in particular to a 2.4G-based intelligent rope skipping handle. Background Art

[0002] The rope skipping handle, as a key component connecting the rope body and the athlete's hand, is exquisitely designed and multifunctional. The rope skipping handle is usually composed of core parts such as the anti-slip part, the sturdy handle rod, and the rope cap that fits tightly to the rope body, which is designed to ensure that the athlete can still maintain a stable grip and smooth movements when the rope is rotating at high speed, thereby improving the overall consistency and stability of the rope skipping.

[0003] In rope skipping tests and competitions, it is crucial to accurately measure the performance of athletes. This is not only a test of the skills of athletes, but also an extreme challenge to the performance of rope skipping equipment, especially rope skipping handles. Traditional rope skipping handles, limited by the limitations of manual counting and timing, are often unable to meet the requirements of such high-standard competitions. They are not only inefficient and prone to errors due to human factors, but also difficult to achieve the accuracy required by competition organizers in a competition where milliseconds are crucial, which may affect the final results and rankings of athletes.

[0004] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In view of the problems in the related art, the present invention proposes a 2.4G smart rope skipping handle to overcome the above technical problems existing in the existing related art.

[0006] To this end, the specific technical solution adopted by the present invention is as follows:

[0007] Based on the 2.4G smart skipping rope handle, it includes a first handle, a control unit and a display screen are arranged in sequence on the outer side of the circumference of the first handle, a bearing is arranged at the top end of the first handle, a limit block is arranged at the bottom end of the bearing, a skipping rope is arranged through the inside of the limit block, and the skipping rope is matched with the limit block through a buckle assembly; a second handle is arranged at the bottom end of the first handle, a protective assembly is arranged on the outer side of the circumference of the second handle, and a disassembly assembly is arranged at the bottom end of the second handle.

[0008] Furthermore, in order to achieve the disassembly of the first handle and the second handle and extend the life of the smart skipping rope handle, a first fixing ring is provided at the top of the second handle, and a thread matching the first handle is provided on the outer side of the circumference of the first fixing ring.

[0009] Furthermore, in order to improve the functionality of the smart skipping rope handle, a fixed partition is provided at the top of the second handle.

[0010] Furthermore, in order to be able to easily and quickly replace or adjust the length of the skipping rope according to personal needs, the buckle assembly includes a first buckle block and a second buckle block which are symmetrically arranged on the outside of the circumference of the skipping rope, one side of the first buckle block is provided with several groups of first buckle plates matching the skipping rope, one side of the second buckle block is provided with several groups of second buckle plates matching the skipping rope, and the first buckle plates and the second buckle plates are cross-arranged; the first buckle block and the second buckle block are matched through a fixed shell.

[0011] Furthermore, in order to provide effective protection for the smart skipping rope handle, the protective component includes a protective shell arranged on the outside of the circumference of the second handle, several groups of anti-slip rings are arranged on the outside of the circumference of the protective shell, and several groups of ventilation grooves matching the anti-slip rings are opened on the outside of the circumference of the protective shell.

[0012] Furthermore, in order to be able to replace the handle battery inside the second handle and ensure that the smart skipping rope handle can maintain stable performance output in various usage scenarios, the disassembly component includes a second fixed ring arranged at the inner bottom end of the second handle, and a plurality of fixed blocks are arranged on the inner wall of the second fixed ring, and a limited position hole is opened on one side of the fixed block; a turntable is arranged inside the second fixed ring, and a plurality of arc grooves are opened on the top of the turntable, and a rotating rod is arranged inside the arc groove, connecting rods are arranged at both ends of the rotating rod, and a plug rod matching the limit hole is arranged on one side of the connecting rod; a rotating block is arranged at the bottom end of the turntable.

[0013] Furthermore, the control unit is used to establish a communication connection between the display screen and each module;

[0014] The control unit includes an information entry module, a counting analysis and prediction module, a counting feedback module, a wireless communication module and a safety detection module;

[0015] An information input module, used to input rope skipping data, wherein the rope skipping data includes athlete information and rope skipping project parameters;

[0016] Count analysis and prediction module, used to analyze rope skipping data and predict the ranking of athletes based on the analysis results;

[0017] The counting feedback module is used to provide real-time feedback to athletes on the number of rope skipping and their rankings through the display screen on the handle of the smart rope skipping device;

[0018] A wireless communication module, used to ensure data transmission between the smart skipping rope handle and the smart device using 2.4G wireless communication technology;

[0019] The safety detection module is used to monitor the athlete's physiological indicators in real time using the sensors in the handle of the smart skipping rope and issue an alarm when an abnormality is detected.

[0020] Specifically, the counting analysis and prediction module includes a data preprocessing submodule, a feature extraction submodule, a model building and optimization submodule, and a ranking prediction submodule;

[0021] A data preprocessing submodule is used to preprocess the rope skipping data;

[0022] A feature extraction submodule is used to extract feature data from the preprocessed rope skipping data;

[0023] The model building and optimization submodule is used to use the extracted feature data in combination with the neural network model to build a ranking prediction model, and optimize the ranking prediction model using an optimization algorithm;

[0024] The ranking prediction submodule is used to input the rope skipping data into the optimized ranking prediction model to obtain the ranking prediction results.

[0025] Specifically, the extracted feature data is combined with a neural network model to construct a ranking prediction model, and the ranking prediction model is optimized using an optimization algorithm, including:

[0026] S1. Establish a rope skipping data set based on the input rope skipping data, and divide the rope skipping data set into a training set and a test set;

[0027] S2. Based on the extracted feature data, a neural network model is selected, and a ranking prediction model is constructed based on the neural network model;

[0028] S3, setting the hyperparameters of the ranking prediction model as variables, and setting a value range for each hyperparameter;

[0029] S4, based on the value range of each hyperparameter setting, initialize the position and velocity of the particle, and the particle represents the hyperparameter combination;

[0030] S5. Based on each particle in the particle swarm, the ranking prediction model is configured using the hyperparameters of the current particle, the configured ranking prediction model is trained through the training set, and the performance indicators of the ranking prediction model after training are evaluated using the test set;

[0031] S6. According to the evaluation results, the particle position with the best performance index is selected as the global optimal position, and the historical optimal position of each particle is updated;

[0032] S7, updating the speed of each particle using the improved optimization algorithm, and adjusting the position of each particle using the updated speed;

[0033] S8. Determine whether the maximum number of iterations has been reached. If so, output the global optimal position. If not, repeat steps S to S until the maximum number of iterations has been reached, and output the global optimal position.

[0034] Specifically, the safety detection module includes a physiological indicator module, a physiological indicator data acquisition module, a physiological indicator threshold setting module and an early warning mechanism module;

[0035] The physiological index module is used to select physiological indicators from the rope skipping data. The physiological indicators must be able to fully reflect the physical condition of the athletes;

[0036] A physiological index data collection module is used to collect the athlete's physiological index data in real time using the sensor in the handle of the smart skipping rope;

[0037] A physiological indicator threshold setting module is used to set an interval threshold for each physiological indicator;

[0038] The early warning mechanism module is used to immediately trigger an early warning when a physiological indicator exceeds the threshold range, and send early warning information to relevant personnel in real time.

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

[0040] 1. The present invention can easily and quickly replace or adjust the length of the skipping rope according to personal needs by setting a buckle assembly, which not only significantly improves the efficiency and comfort during exercise, but also greatly reduces the frequency of overall replacement due to wear of the skipping rope, thereby reducing costs. In addition, the setting of the buckle assembly improves the practicality and personalization level of the smart skipping rope handle, and effectively extends the overall service life of the smart skipping rope handle.

[0041] 2. The present invention provides a disassembly component to replace the handle battery inside the second handle, ensuring that the smart rope skipping handle can maintain stable performance output in various usage scenarios, thereby improving the athlete experience. At the same time, it also extends the service life of the rope skipping handle and greatly reduces the cost burden of long-term use.

[0042] 3. The present invention not only provides effective protection for the smart rope skipping handle by setting a protective component, but also increases the friction on the handle surface, improves the stability of holding, effectively reduces accidents that may be caused by hand slippage, and ensures the safety and smoothness of athletes during rope skipping. At the same time, the setting of the ventilation groove enhances the breathability of the smart rope skipping handle, keeps the hands dry and comfortable, thereby improving the comfort and exercise efficiency of athletes.

[0043] 4. The present invention can detect the athlete's game status and game progress in real time by setting a control unit, so that the athlete can adjust the game rhythm in time, thereby optimizing the game strategy and improving the competitive level. In addition, the control unit also detects the athlete's physiological indicators in real time through the built-in sensor of the smart handle to ensure the athlete's health and safety in competition and training, and effectively prevent potential sports injuries. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 is a schematic diagram of the structure of a 2.4G smart rope skipping handle according to an embodiment of the present invention;

[0046] Figure 2 is a cross-sectional view of a 2.4G smart rope skipping handle according to an embodiment of the present invention;

[0047] Figure 3 yes Figure 2 A partial enlarged view of the middle A;

[0048] Figure 4 It is a partial structural schematic diagram of a 2.4G smart rope skipping handle according to an embodiment of the present invention;

[0049] Figure 5 yes Figure 4 A partial enlarged view of point B in the middle;

[0050] Figure 6 It is a structural schematic diagram of the disassembly components in the 2.4G smart rope skipping handle according to an embodiment of the present invention;

[0051] Figure 7 Figure 6 A partial enlarged view of point C in the middle;

[0052] Figure 8 It is a principle block diagram of a control unit in a 2.4G smart rope skipping handle according to an embodiment of the present invention.

[0053] In the figure:

[0054] 1. First handle; 2. Control unit; 201. Information entry module; 202. Counting analysis and prediction module; 2021. Data preprocessing submodule; 2022. Feature extraction submodule; 2023. Model building and optimization submodule; 2024. Ranking prediction submodule; 203. Counting feedback module; 204. Wireless communication module; 205. Safety detection module; 2051. Physiological indicator module; 2052. Physiological indicator data acquisition module; 2053. Physiological indicator threshold setting module; 2054. Early warning mechanism module; 3. Display screen; 4. Bearing; 5. Limit block; 6. Skipping rope; 7. Buckle assembly; 701. First buckle block; 702. Second buckle block; 703. First buckle plate; 704. Second buckle plate; 705. Fixed shell; 8. Second handle; 9. Protection assembly; 901. Protective shell; 902. Anti-slip ring; 903. Breathing groove; 10. Disassembly assembly; 1001. Second fixed ring; 1002. Fixed block; 1003. Limiting jack; 1004. Turntable; 1005. Arc groove; 1006. Rotating rod; 1007. Connecting rod; 1008. Inserting rod; 1009. Rotating block; 11. First fixed ring; 12. Thread; 13. Fixed partition. DETAILED DESCRIPTION

[0055] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments. They can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. By referring to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention.

[0056] According to an embodiment of the present invention, a 2.4G-based smart rope skipping handle is provided.

[0057] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1-Figure 7 As shown, the 2.4G smart rope skipping handle according to an embodiment of the present invention includes a first handle 1, a control unit 2 and a display screen 3 are sequentially arranged on the outer side of the circumference of the first handle 1, a bearing 4 is arranged on the top end of the first handle 1, a limiting block 5 is arranged on the bottom end of the bearing 4, a skipping rope 6 is arranged through the limiting block 5, and the skipping rope 6 is matched with the limiting block 5 through a buckle assembly 7; a second handle 8 is arranged on the bottom end of the first handle 1, a protective assembly 9 is arranged on the outer side of the circumference of the second handle 8, and a disassembly assembly 10 is arranged on the bottom end of the second handle 8.

[0058] In one embodiment, for the above-mentioned second handle 8, a first fixing ring 11 is provided at the top of the second handle 8, and a thread 12 matching with the first handle 1 is provided on the outer side of the circumference of the first fixing ring 11, thereby realizing the disassembly of the first handle 1 and the second handle 8 and extending the life of the smart skipping rope handle.

[0059] In one embodiment, for the second handle 8, a fixed partition 13 is provided at the top of the second handle 8, so as to improve the functionality of the smart skipping rope handle.

[0060] In one embodiment, for the above-mentioned buckle assembly 7, the buckle assembly 7 includes a first buckle block 701 and a second buckle block 702 which are symmetrically arranged on the outside of the circumference of the skipping rope 6, and one side of the first buckle block 701 is provided with a plurality of groups of first buckle plates 703 cooperating with the skipping rope 6, and one side of the second buckle block 702 is provided with a plurality of groups of second buckle plates 704 cooperating with the skipping rope 6, and the first buckle plates 703 and the second buckle plates 704 are cross-arranged; the first buckle block 701 and the second buckle block 702 are matched with each other through a fixed shell 705, so that the length of the skipping rope 6 can be easily and quickly replaced or adjusted according to personal needs.

[0061] The working principle of the buckle assembly 7 is as follows: when the skipping rope 6 needs to be replaced or the length of the skipping rope 6 needs to be adjusted, the first buckle block 701 is separated from the second buckle block 702 by moving the fixed shell 705 upwards, thereby losing the fixation of the skipping rope 6, so that the skipping rope 6 is separated from the buckle assembly 7, and then the skipping rope 6 is replaced or the length of the skipping rope 6 is adjusted; after the replacement or adjustment is completed, the skipping rope 6 is clamped by the first buckle block 701 and the second buckle block 702, and the fixed shell 705 is moved downwards, so that the first buckle block 701 and the second buckle block 702 cooperate with each other, thereby achieving the clamping and fixation of the skipping rope 6, avoiding the skipping rope 6 from falling off and affecting the continuity and stability of the skipping rope.

[0062] In one embodiment, for the above-mentioned protective component 9, the protective component 9 includes a protective shell 901 arranged on the outer side of the circumference of the second handle 8, and a plurality of groups of anti-slip rings 902 are arranged on the outer side of the circumference of the protective shell 901. A plurality of groups of ventilation grooves 903 cooperating with the anti-slip rings 902 are opened on the outer side of the circumference of the protective shell 901, thereby providing effective protection for the smart skipping rope handle.

[0063] In one embodiment, for the above-mentioned disassembly component 10, the disassembly component 10 includes a second fixed ring 1001 arranged at the inner bottom end of the second handle 8, and a plurality of fixed blocks 1002 are arranged on the inner wall of the second fixed ring 1001, and a limited position plug hole 1003 is opened on one side of the fixed block 1002; a turntable 1004 is arranged inside the second fixed ring 1001, and a plurality of arc grooves 1005 are opened on the top of the turntable 1004, and a rotating rod 1006 is arranged inside the arc groove 1005, and connecting rods 1007 are arranged at both ends of the rotating rod 1006, and a plug rod 1008 matching the limited position plug hole 1003 is arranged on one side of the connecting rod 1007; a rotating block 1009 is arranged at the bottom end of the turntable 1004, so that the handle battery inside the second handle 8 can be replaced, ensuring that the smart skipping rope handle can maintain stable performance output in various usage scenarios.

[0064] The working principle of the disassembly component 10 is as follows: when the handle battery inside the second handle 8 needs to be replaced, the turntable 1004 is rotated by rotating the rotating block 1009 in the forward direction, and the rotating rod 1006 and the arc groove 1005 cooperate to drive the rotating rod 1006 to move, so that the insertion rod 1008 is separated from the limiting hole 1003, and then the turntable 1004 is taken out to replace the handle battery; after the replacement is completed, the rotating block 1009 is rotated in the reverse direction, so that the turntable 1004 drives the rotating rod 1006 to move, so that the insertion rod 1008 and the limiting hole 1003 cooperate to achieve the fixation of the turntable 1004, thereby increasing the service life.

[0065] like Figure 8 As shown, in one embodiment, the control unit 2 is used to establish a communication connection between the display screen 3 and each module.

[0066] The control unit 2 includes an information input module 201, a counting analysis and prediction module 202, a counting feedback module 203, a wireless communication module 204 and a safety detection module 205;

[0067] The information input module 201 is used to input rope skipping data, wherein the rope skipping data includes athlete information and rope skipping project parameters.

[0068] It should be noted that the athlete's information includes the athlete's basic identity information, physical indicators, training history data, and personal preferences and settings; the parameters of the skipping rope project include the type of skipping rope, skipping duration, number of skipping ropes, interval settings, difficulty level and environmental conditions.

[0069] The counting analysis and prediction module 202 is used to analyze the rope skipping data and predict the ranking of the athletes according to the analysis results.

[0070] Specifically, the counting analysis and prediction module 202 includes a data preprocessing submodule 2021, a feature extraction submodule 2022, a model building and optimization submodule 2023, and a ranking prediction submodule 2024;

[0071] The data preprocessing submodule 2021 is used to preprocess the rope skipping data.

[0072] It should be noted that the preprocessing of the rope skipping data includes cleaning the rope skipping data to remove duplicate, erroneous or invalid rope skipping data; and normalizing the cleaned rope skipping data to make the rope skipping data at the same scale.

[0073] The feature extraction submodule 2022 is used to extract feature data from the preprocessed rope skipping data.

[0074] The model building and optimization submodule 2023 is used to use the extracted feature data in combination with the neural network model to build a ranking prediction model, and optimize the ranking prediction model using an optimization algorithm.

[0075] Specifically, the extracted feature data is combined with a neural network model to construct a ranking prediction model, and the ranking prediction model is optimized using an optimization algorithm, including:

[0076] S1. Create a rope skipping dataset based on the entered rope skipping data, and divide the rope skipping dataset into a training set and a test set.

[0077] S2. Based on the extracted feature data, a neural network model is selected, and a ranking prediction model is constructed based on the neural network model.

[0078] It should be noted that the neural network model is a recurrent neural network. The structure of the recurrent neural network, such as the number of layers, the number of neurons in each layer, the activation function, etc., is determined; the loss function and optimizer are selected. Common loss functions include mean square error (MSE), cross entropy, etc., and optimizers include Adam, RMSprop, etc.

[0079] S3. Set the hyperparameters of the ranking prediction model as variables, and set a value range for each hyperparameter.

[0080] It should be noted that the hyperparameters of the ranking prediction model include window width, number of hidden layer neurons, learning rate, batch size, and Dropout rate.

[0081] Among them, the value range of the window width is as low as 1 and as high as the total amount of data; the value range of the number of hidden layer neurons is as low as 1 and as high as 1024; the value range of the learning rate is as low as greater than 0 and as high as 0.5; the value range of the batch size is as low as 1 and as high as the total amount of data; the value range of the Dropout rate is as low as 0 and as high as 0.5.

[0082] S4. Based on the value range of each hyperparameter setting, the position and velocity of the particle are initialized. The particle represents the hyperparameter combination.

[0083] S5. Based on each particle in the particle swarm, the ranking prediction model is configured using the hyperparameters of the current particle, the configured ranking prediction model is trained through the training set, and the performance indicators of the ranking prediction model after training are evaluated using the test set.

[0084] It should be noted that the performance indicators of the ranking prediction model are obtained by calculating the ranking error. The performance indicators are calculated based on the prediction results and the true labels of the test set, and the correlation coefficient, accuracy, recall rate, etc. are calculated based on this.

[0085] S6. According to the evaluation results, the particle position with the best performance index is selected as the global optimal position, and the historical optimal position of each particle is updated.

[0086] S7. Update the velocity of each particle using the improved optimization algorithm, and adjust the position of each particle using the updated velocity.

[0087] It should be noted that the improved optimization algorithm is based on a variant of the sigmoid function, combined with trigonometric functions, to update the inertia weight. The improved optimization algorithm formula is:

[0088]

[0089]

[0090] In the formula, N represents the particle group;

[0091] k represents the current iteration number;

[0092] k max Indicates the final number of iterations;

[0093] t max Indicates k max time of day;

[0094] ω represents the inertia weight;

[0095] ω max represents the maximum inertia weight;

[0096] ω min represents the minimum inertia weight;

[0097] σ represents the expansion coefficient, and its value range is (0, +∞).

[0098] S8. Determine whether the maximum number of iterations has been reached. If so, output the global optimal position. If not, repeat steps S5 to S7 until the maximum number of iterations has been reached, and output the global optimal position.

[0099] The ranking prediction submodule 2024 is used to input the rope skipping data into the optimized ranking prediction model to obtain the ranking prediction result.

[0100] The counting feedback module 203 is used to provide the athlete with real-time feedback on the number of rope skipping and the athlete's ranking through the display screen 3 on the handle of the smart rope skipping.

[0101] The wireless communication module 204 is used to utilize 2.4G wireless communication technology to ensure data transmission between the smart rope skipping handle and the smart device.

[0102] The safety detection module 205 is used to monitor the athlete's physiological indicators in real time using the sensors in the handle of the smart skipping rope, and to issue an alarm when an abnormality is detected.

[0103] Specifically, the safety detection module 205 includes a physiological indicator module 2051, a physiological indicator data collection module 2052, a physiological indicator threshold setting module 2053 and an early warning mechanism module 2054;

[0104] The physiological index module 2051 is used to select physiological indexes from the rope skipping data. The physiological indexes need to be able to fully reflect the physical condition of the athlete.

[0105] The physiological index data collection module 2052 is used to collect the physiological index data of athletes in real time using the sensors in the handle of the smart skipping rope;

[0106] A physiological indicator threshold setting module 2053 is used to set an interval threshold for each physiological indicator;

[0107] The early warning mechanism module 2054 is used to immediately trigger an early warning when a physiological indicator exceeds a threshold range, and send early warning information to relevant personnel in real time.

[0108] It should be noted that physiological indicators include heart rate, blood pressure, blood oxygen saturation, calorie consumption, step frequency and jumping rhythm.

[0109] In addition, the control unit 2 adopts the STM32 single-chip microcomputer and the 2.4G communication method to record the time and number of athletes in real time and accurately, and send it to the host through the 2.4G communication, which is efficient and accurate in timing and counting; among them, the STM32 single-chip microcomputer is a 32-bit microcontroller developed based on the ARM Cortex-M core, and 2.4G is the 2.4 gigahertz (GHz) frequency band used in wireless communication.

[0110] In actual application, when the athlete needs to replace the skipping rope 6 or adjust the length of the skipping rope 6, the first handle 1 is rotated so that the first handle 1 is separated from the second handle 8 under the action of the thread 12. After the first handle 1 is separated from the second handle 8, the skipping rope 6 is replaced or adjusted by adjusting the buckle assembly 7 (the working principle of the buckle assembly 7 is as shown above); after the replacement or adjustment of the skipping rope 6 is completed, the control unit 2 is started, and the athlete holds the smart skipping rope handle to compete, and the control unit 2 detects the athlete's competition status and progress in real time. At this time, the anti-slip ring 902 in the protective assembly 9 can increase the friction, and the breathable groove 903 can increase the breathability, so as to avoid the smart skipping rope handle from falling off during the competition due to hand slippage, thereby affecting the competition effect; when the handle battery needs to be replaced, the handle battery is replaced by rotating the disassembly assembly 10 (the working principle of the disassembly assembly 10 is as shown above), thereby extending the service life of the smart skipping rope handle.

[0111] In summary, by means of the above technical solution of the present invention, by setting the buckle assembly 7, the length of the skipping rope 6 can be replaced or adjusted simply and quickly according to personal needs, which not only significantly improves the efficiency and comfort during exercise, but also greatly reduces the frequency of overall replacement due to wear of the skipping rope, thereby reducing costs. In addition, the setting of the buckle assembly 7 improves the practicality and personalization level of the smart skipping rope handle, and effectively extends the overall service life of the smart skipping rope handle. By setting the disassembly assembly 10, the handle battery inside the second handle 8 can be replaced, ensuring that the smart skipping rope handle can maintain stable performance output in various usage scenarios, thereby improving the athlete experience. At the same time, it also extends the service life of the skipping rope handle and greatly reduces the cost burden of long-term use. By setting the protection component 9, not only the intelligent rope skipping handle is effectively protected, but also the friction force on the handle surface is increased, the stability of the grip is improved, and the accidents that may be caused by hand slipping are effectively reduced, ensuring the safety and smoothness of the athlete during the rope skipping process. At the same time, the setting of the ventilation groove 903 enhances the breathability of the intelligent rope skipping handle, keeps the hands dry and comfortable, and thus improves the athlete's comfort and exercise efficiency. By setting the control unit 2, the athlete's game status and game progress can be detected in real time, so that the athlete can adjust the game rhythm in time, thereby optimizing the game strategy and improving the competitive level. In addition, the control unit 2 also detects the athlete's physiological indicators in real time through the built-in sensor of the intelligent handle, ensuring the athlete's health and safety in competition and training, and effectively preventing potential sports injuries.

[0112] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A 2.4G-based smart rope skipping handle, comprising a first handle (1), characterized in that: A control unit (2) and a display screen (3) are sequentially arranged on the outer side of the circumference of the first handle (1); a bearing (4) is arranged at the top end of the first handle (1); a limit block (5) is arranged at the bottom end of the bearing (4); a skipping rope (6) is arranged inside the limit block (5); and the skipping rope (6) is matched with the limit block (5) through a buckle assembly (7); A second handle (8) is arranged at the bottom end of the first handle (1), a protective component (9) is arranged on the outer circumference of the second handle (8), and a disassembly component (10) is arranged at the inner bottom end of the second handle (8).

2. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: A first fixing ring (11) is arranged at the top end of the second handle (8), and a thread (12) matching with the first handle (1) is arranged on the outer circumference of the first fixing ring (11).

3. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: A fixed partition (13) is arranged at the top of the second handle (8).

4. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: The buckle assembly (7) comprises a first buckle block (701) and a second buckle block (702) symmetrically arranged on the outer side of the circumference of the skipping rope (6); one side of the first buckle block (701) is provided with a plurality of groups of first buckle plates (703) matched with the skipping rope (6); one side of the second buckle block (702) is provided with a plurality of groups of second buckle plates (704) matched with the skipping rope (6); and the first buckle plates (703) and the second buckle plates (704) are cross-arranged; The first buckle block (701) and the second buckle block (702) are matched with each other through a fixing shell (705).

5. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: The protective assembly (9) comprises a protective shell (901) arranged on the outer side of the circumference of the second handle (8), a plurality of groups of anti-slip rings (902) are arranged on the outer side of the circumference of the protective shell (901), and a plurality of groups of air-permeable grooves (903) matching with the anti-slip rings (902) are opened on the outer side of the circumference of the protective shell (901).

6. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: The disassembly assembly (10) comprises a second fixing ring (1001) arranged at the inner bottom end of the second handle (8), a plurality of fixing blocks (1002) are arranged on the inner wall of the second fixing ring (1001), and a limiting insertion hole (1003) is provided on one side of the fixing block (1002); A rotating disk (1004) is arranged inside the second fixing ring (1001), a plurality of arc-shaped grooves (1005) are provided on the top of the rotating disk (1004), a rotating rod (1006) is arranged inside the arc-shaped groove (1005), connecting rods (1007) are arranged at both ends of the rotating rod (1006), and an insertion rod (1008) matching with the limiting insertion hole (1003) is arranged on one side of the connecting rod (1007); A rotating block (1009) is provided at the bottom end of the rotating disk (1004).

7. The 2.4G-based smart rope skipping handle according to claim 1, characterized in that: The control unit (2) comprises an information input module (201), a counting analysis and prediction module (202), a counting feedback module (203), a wireless communication module (204) and a safety detection module (205); The information input module (201) is used to input rope skipping data, wherein the rope skipping data includes athlete information and rope skipping project parameters; The counting analysis and prediction module (202) is used to analyze the rope skipping data and predict the ranking of the athletes according to the analysis results; The counting feedback module (203) is used to provide the athlete with real-time feedback on the number of rope skipping and the athlete's ranking through the display screen (3) on the handle of the smart rope skipping; The wireless communication module (204) is used to ensure data transmission between the smart rope skipping handle and the smart device using 2.4G wireless communication technology; The safety detection module (205) is used to monitor the athlete's physiological indicators in real time using the sensors in the handle of the smart skipping rope, and to issue an alarm when an abnormality is detected.

8. The 2.4G-based smart rope skipping handle according to claim 7, characterized in that: The counting analysis and prediction module (202) includes a data preprocessing submodule (2021), a feature extraction submodule (2022), a model building and optimization submodule (2023) and a ranking prediction submodule (2024); The data preprocessing submodule (21) is used to preprocess the rope skipping data; The feature extraction submodule (222) is used to extract feature data from the preprocessed rope skipping data; The model building and optimization submodule (2023) is used to use the extracted feature data in combination with the neural network model to build a ranking prediction model, and optimize the ranking prediction model using an optimization algorithm; The ranking prediction submodule (2024) is used to input the rope skipping data into the optimized ranking prediction model to obtain the ranking prediction result.

9. The 2.4G-based smart rope skipping handle according to claim 8, characterized in that: The method of using the extracted feature data in combination with a neural network model to construct a ranking prediction model and using an optimization algorithm to optimize the ranking prediction model includes: S1. Establish a rope skipping data set based on the input rope skipping data, and divide the rope skipping data set into a training set and a test set; S2. Based on the extracted feature data, a neural network model is selected, and a ranking prediction model is constructed based on the neural network model; S3, setting the hyperparameters of the ranking prediction model as variables, and setting a value range for each hyperparameter; S4. Initializing the position and velocity of a particle based on the value interval of each hyperparameter setting, wherein the particle represents a hyperparameter combination; S5. Based on each particle in the particle swarm, the ranking prediction model is configured using the hyperparameters of the current particle, the configured ranking prediction model is trained through the training set, and the performance indicators of the ranking prediction model after training are evaluated using the test set; S6. According to the evaluation results, the particle position with the best performance index is selected as the global optimal position, and the historical optimal position of each particle is updated; S7, updating the speed of each particle using the improved optimization algorithm, and adjusting the position of each particle using the updated speed; S8. Determine whether the maximum number of iterations has been reached. If so, output the global optimal position. If not, repeat steps S5 to S7 until the maximum number of iterations has been reached, and output the global optimal position.

10. The 2.4G-based smart rope skipping handle according to claim 7, characterized in that: The safety detection module (205) comprises a physiological index module (2051), a physiological index data acquisition module (2052), a physiological index threshold setting module (2053) and an early warning mechanism module (2054); The physiological index module (2051) is used to select physiological indexes from the rope skipping data, and the physiological indexes need to be able to fully reflect the physical condition of the athlete; The physiological index data collection module (2052) is used to collect the athlete's physiological index data in real time using the sensor in the handle of the smart skipping rope; The physiological index threshold setting module (2053) is used to set an interval threshold for each physiological index; The warning mechanism module (2054) is used to immediately trigger a warning when a physiological indicator exceeds a threshold range, and send warning information to relevant personnel in real time.

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