Intelligent sports shoes and preparation method

Abstract

The invention discloses an intelligent sneaker and a preparation method, and relates to the fields of health monitoring, rehabilitation nursing, sports protection and the like, the intelligent sneaker integrates structure customizability, damping and buffering and intelligent sensing performance, and can be widely applied to the fields of health monitoring, rehabilitation nursing, sports protection and the like. According to the intelligent sports shoes, ergonomic design can be carried out according to the requirements of wearers, the comfort of the intelligent sports shoes is guaranteed while the good buffering performance is achieved, in addition, a wireless force-electricity sensing and deep learning intelligent recognition system is introduced, and personalized motion feedback and optimization suggestions can be provided for the wearers.

Description

Technical Field

[0001] The present invention relates to the fields of health monitoring, rehabilitation nursing and sports protection, and in particular to a smart sports shoe and a preparation method thereof. Background Art

[0002] The human body often gets injured during sports and daily life. Therefore, designing sports shoes with excellent shock-absorbing and cushioning performance is of great significance for protecting people in daily life and during sports. However, the soles of general shock-absorbing sports shoes are mostly made of rubber and foamed foam, and the structure is relatively simple. The utility model patent with publication number CN204157770U discloses a shock-absorbing sports shoe, whose sole is composed of a rubber one-piece molded fishbone-shaped shock-absorbing tire bead. The utility model patent with publication number CN216875236U discloses an air cavity structure shock-absorbing sports shoe, whose sole is composed of high-elastic rubber, foam and air cavity support blocks.

[0003] In addition, with the continuous advancement of sensing technology and data analysis technology, intelligent sensing functions have gradually matured. At present, this function has been integrated into sports shoes. The invention patent with publication number CN115474733A discloses a smart sports shoe, including a shoe body and a smart bottom plate, which can upload the force of the user's sole to a mobile phone application. The utility model patent with publication number CN204048244U discloses a smart sports shoe based on pressure sensing, which integrates a thin film pressure sensor on the sole and sends the data to the control terminal for processing and analysis based on the Bluetooth module.

[0004] Judging from the currently disclosed patents, there are still few studies on shock-absorbing smart sports shoes that meet both shock-absorbing and intelligent sensing functions. In particular, there is an extreme lack of research on intelligent kinematics with ergonomic design based on additive manufacturing technology. Therefore, designing a smart sports shoe with customizable structure, shock-absorbing and intelligent sensing performance has broad application prospects in the fields of health monitoring, rehabilitation care, and sports protection. Summary of the invention

[0005] The present invention improves the deficiencies of the traditional technology and provides a smart sports shoe and a preparation method thereof. The smart sports shoe integrates customizable structure, shock absorption and buffering, and smart sensing performance, and can be widely used in the fields of health monitoring, rehabilitation care, sports protection, etc.

[0006] Specifically, the present invention is achieved through the following technical solutions:

[0007] A smart sports shoe, comprising a buffering and energy absorbing system and an intelligent sensing system; the buffering and energy absorbing system is used for shock absorption and buffering; the intelligent sensing system is used for health monitoring; the buffering and energy absorbing system constitutes the sole part of the smart sports shoe.

[0008] The present invention also provides a method for preparing the above-mentioned smart sports shoes, comprising the following steps:

[0009] Step 1: Preparation of a buffer energy absorption system; comprising:

[0010] a. Adding TPR particles into a single screw extruder to prepare TPR wire;

[0011] b. using the obtained TPR wire to produce a shoe sole shape structural skeleton of a certain thickness by fused deposition 3D printing;

[0012] c. Filling the resulting structural skeleton with a flexible filler precursor using an extrusion 3D printer;

[0013] d. Place the buffer energy absorption system into the corresponding mold and vulcanize it at 20 MPa and 100 degrees Celsius for 15 minutes, cool and demold to obtain the buffer energy absorption system and smart sports shoe sole;

[0014] e. Processing the buffer energy absorption system to obtain a smart sports shoe body;

[0015] Step 2: Implementation of the intelligent sensing system; including:

[0016] a. Paste a Bluetooth film multi-channel pressure sensor on the upper surface of the sole of the obtained smart sports shoe;

[0017] b. Compile the ResNet34 convolutional neural network code based on residual analysis on the control terminal device, and collect data and train the neural network for the corresponding gait.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] The intelligent sports shoes of the present invention integrate customizable structure, shock absorption and buffering, and intelligent sensing performance, and can be widely used in the fields of health monitoring, rehabilitation care, and sports protection. The flexible TPR rubber material in the buffer system can achieve ideal buffering performance through structural design and composite with flexible filler shear hardening elastomer. At the same time, the buffer system can be uniquely ergonomically designed according to the needs of the wearer based on the additive manufacturing process, ensuring its comfort while having good buffering performance. In addition, a wireless electromechanical sensor module is introduced to collect the wearer's sole force distribution data in real time, and a deep learning intelligent recognition system is installed to analyze and identify the collected sensor data to provide the wearer with personalized sports feedback and optimization suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The dimensions of TPR skeletons with different structures and a surface density of 30%;

[0021] Figure 2 This is the structure diagram of the wireless force-electric sensing module;

[0022] Figure 3 This is the structure diagram of the smart sports shoes;

[0023] Figure 4 It is a neural network structure diagram;

[0024] Figure 5 are the rheological properties of flexible fillers with different mass fractions;

[0025] Figure 6 The tensile properties of flexible fillers with different mass fractions;

[0026] Figure 7 The tensile properties of different structural skeletons;

[0027] Figure 8 The tensile properties of composite materials with different structures;

[0028] Fig. 9 The bonding performance between the skeleton material and the flexible fillers with different mass fractions;

[0029] Fig.10 To cushion the system's protective performance under the impact of a falling hammer;

[0030] Fig.11 To investigate the recognition performance of smart sports shoes in different gait patterns;

[0031] Fig.12 Schematic diagram of the smart sports shoes of the present invention. DETAILED DESCRIPTION

[0032] In order to make the force-electric coupling technical solution and its advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution.

[0033] Specifically, the present invention is achieved through the following technical solutions:

[0034] A smart sports shoe, which is customizable, has shock absorption and intelligent sensing performance, and includes a buffering energy absorption system and an intelligent sensing system. Fig.12 As shown, the buffering and energy absorption system of the smart sports shoes carries the human body, the smart sensing system collects the pressure signal of the human body and performs intelligent identification on it, and finally realizes the monitoring of human health through the control terminal.

[0035] Furthermore, the buffering and energy absorbing system comprises a structural frame formed by TPR rubber and a flexible filler formed by shear hardening rubber and methyl vinyl silicone rubber, wherein the flexible filler is completely filled in the structural frame. Preferably, the buffering and energy absorbing system constitutes the sole part of the smart sports shoe.

[0036] Furthermore, the structural skeleton is made of TPR material using fused deposition 3D printing technology, and the skeleton structure includes but is not limited to a honeycomb structure, a square structure, a triangular structure and an interlocking structure. The honeycomb structure is composed of an equilateral hexagonal cell array; the square structure is composed of a square cell array; the triangular structure is composed of an equilateral triangle cell array; the interlocking structure is composed of a cell array composed of two dovetail shapes facing each other, and the array intervals of the four structures are all 1 mm. Preferably, the skeleton structure is a honeycomb structure. The surface density of the skeleton structure is but is not limited to 30%, and the relevant structural dimensions are as follows: Figure 1 shown.

[0037] Furthermore, the TPR material is a common rubber material, and its particle hardness includes but is not limited to 70 degrees, 80 degrees, and 90 degrees. Preferably, the TPR material has a hardness of 70 degrees; the TPR material particles are added to a single-screw extruder to obtain the wire used for printing.

[0038] Furthermore, the shear hardening adhesive is formed by hydroxy silicone oil and boride. Preferably, the mass ratio of the hydroxy silicone oil to the boride is 20:1; preferably, the shear hardening adhesive is formed at 180 degrees Celsius.

[0039] Furthermore, in the flexible filler, the methyl vinyl silicone rubber model is 110-2; preferably, the shear hardening rubber and the methyl vinyl silicone rubber are stirred in an internal mixer at a speed of 45 rpm for 20 minutes. Preferably, the mass ratio of the shear hardening rubber to the methyl vinyl silicone rubber in the flexible filler includes but is not limited to 0:100, 30:70, 60:40. Preferably, the buffer energy absorption system is vulcanized for 15 minutes at 100 degrees Celsius and 20 MPa in an automatic flat plate vulcanizer to finally form.

[0040] Furthermore, the intelligent sensing system includes a wireless electromechanical sensing module and a signal recognition intelligent module.

[0041] Furthermore, the wireless force-electric sensing module includes a multi-channel thin-film pressure sensor, a power supply and a Bluetooth wireless acquisition device, such as Figure 2 The signal recognition intelligent module is implemented based on residual analysis convolutional neural network.

[0042] The present invention also provides a method for preparing any one of the above-mentioned smart sports shoes, comprising the following steps:

[0043] a. Add TPR particles with a hardness of 70 degrees into a single screw extruder to prepare TPR wire.

[0044] b. Using the wire obtained in step a, a structural skeleton in the shape of a sole with a length of 285 mm was produced by fused deposition 3D printing.

[0045] c. Fill the structural skeleton obtained in step b with the flexible filler precursor using an extrusion 3D printer. Preferably, the sole is placed in a corresponding mold and vulcanized at 20 MPa and 100 degrees Celsius for 15 minutes, and then cooled and demolded to obtain the smart sports shoe sole.

[0046] d. Processing the sole obtained in step c to obtain smart sports shoes.

[0047] e. Paste a Bluetooth thin film multi-channel pressure sensor on the upper surface of the sole of the smart sports shoe obtained in step d. The pressure sensor completely covers the sole of the sports shoe. Figure 3 The structure of the intelligent sports shoe includes a shoe upper, a thin film multi-channel pressure sensor, an insole and an outsole in sequence; the thin film multi-channel pressure sensor is located on the upper surface of the insole.

[0048] f. Compile the ResNet34 convolutional neural network code based on residual analysis on the control terminal device, such as Figure 4 As shown. The convolutional neural network is composed of a convolutional layer, a pooling layer and a fully connected layer, wherein the convolutional layer extracts image features, the pooling layer downsamples to reduce the dimension of the image data, and finally the fully connected layer classifies the image and outputs the result. First, data of the corresponding gait is collected and visualized as an RGB image as an input data set, 80% of the input data set is used as a training set for 200 trainings, and the other 20% is used as a verification set to verify the training results. After training, the neural network can accurately identify the corresponding gait. The performance parameters of the samples prepared in the following embodiments are tested according to the following test methods:

[0049] A. The specific method for measuring the rheological properties of flexible fillings is as follows:

[0050] The flexible filler was pressed into a cylindrical sample with a thickness of 1 mm and a diameter of 20 mm using a mold. Its rheological properties were characterized using a commercial rheometer (Physica MCR 302, Anton Paar). Figure 5 shown.

[0051] B. The specific method for measuring the tensile properties of the composite materials, structural skeletons and flexible fillers of the cushioning energy absorption system is as follows:

[0052] The composite material was made into a strip sample with a thickness of 2 mm, a length of 70 mm, and a width of 30 mm using a mold, the skeleton material was 3D printed into a strip sample of the same size, and the flexible filler material was made into a strip sample of the same size using a mold, and then the uniaxial tensile properties were characterized using a commercial electronic universal testing machine (Criterion™ Model 43, Meister Industries), e.g. Figure 6 , Figure 7 and Figure 8 shown.

[0053] C. The specific method for measuring the interfacial bonding performance between the skeleton material and the flexible filler is as follows:

[0054] The flexible filler material was pressed into a long strip sample with a length of 60 mm, a width of 20 mm, and a thickness of 2 mm using a mold. The skeleton material was 3D printed into a long strip sample of the same size, and the two were bonded together. A polyester film with a length of 20 mm and a width of 10 mm was pasted on one end of the bonded sample of the skeleton material and the filler material to introduce the initial crack, and the rest of the parts were tightly bonded. A polyester film with a length of 100 mm and a width of 20 mm was pasted on the other side of the skeleton material sample and the filler material sample as a peeling arm. After the sample was left to stand for three days, a T-type peeling test was carried out using a commercial electronic universal testing machine (CriterionTM Model 43, Meister Industries) to characterize its interfacial bonding properties, such as Fig. 9 shown.

[0055] D. The specific method for measuring the protective performance of the buffer energy absorption system under low-speed impact is as follows:

[0056] The drop hammer impact test system used includes an electromagnetically driven drop hammer release platform (ZCJ1302-A, MTS), a dynamic load sensor (KD3005C, Yangzhou Kedong), a digital oscilloscope (Tektronix DPO 2014B), and a charge amplifier (YE5853, Donghua Testing). A blunt drop hammer with a mass of 2000 grams is released from different initial heights, and a dynamic load sensor is placed under the buffer energy absorption system. The charge amplifier and the digital oscilloscope are used to collect the evolution law of the force signal during the impact process of the sample, such as Fig.10 shown.

[0057] F. The specific method for measuring the recognition performance of the deep learning intelligent recognition system is as follows:

[0058] The wireless thin-film multi-channel pressure sensor is used to import the piezoelectric signals of smart sports shoes in different gaits into the control terminal through Bluetooth transmission. The load pattern is predicted by the residual analysis convolutional neural network, and the real load pattern is compared to determine the recognition accuracy of the deep learning module. Fig.11 shown.

[0059] Example 1

[0060] The preparation method of the flexible filler is as follows:

[0061] Take the following raw materials in mass ratio:

[0062] Shear hardening rubber: methyl vinyl silicone rubber: benzoyl peroxide = 60:40:1

[0063] 60 g of shear hardening rubber, 40 g of methyl vinyl silicone rubber and 1 g of benzoyl peroxide were stirred in an internal mixer at a speed of 45 rpm for 20 minutes to prepare a flexible filler precursor.

[0064] Example 2

[0065] The preparation method of the flexible filler is as follows:

[0066] Take the following raw materials in mass ratio:

[0067] Shear hardening rubber: methyl vinyl silicone rubber: benzoyl peroxide = 30:70:1

[0068] 30 g of shear hardening rubber, 70 g of methyl vinyl silicone rubber and 1 g of benzoyl peroxide were stirred in an internal mixer at a speed of 45 rpm for 20 minutes to prepare a flexible filler precursor.

[0069] Example 3

[0070] The preparation method of the flexible filler is as follows:

[0071] Take the following raw materials in mass ratio:

[0072] Shear hardening rubber: methyl vinyl silicone rubber: benzoyl peroxide = 0:100:1

[0073] 0 g of shear hardening rubber, 100 g of methyl vinyl silicone rubber and 1 g of benzoyl peroxide were stirred in an internal mixer at a speed of 45 rpm for 20 minutes to prepare a flexible filler precursor.

[0074] Example 4

[0075] The preparation method of the structural skeleton is as follows:

[0076] TPR material particles with a hardness of 70 degrees are added to a single-screw extruder to produce wire. Then, according to ergonomics, the sole skeleton is designed into a honeycomb cushioning structure and printed using a commercial fused deposition 3D printer.

[0077] Example 5

[0078] The preparation method of the structural skeleton is as follows:

[0079] TPR material particles with a hardness of 70 degrees are added to a single-screw extruder to produce wire. Then, according to ergonomics, the sole skeleton is designed into a triangular buffer structure and printed using a commercial fused deposition 3D printer.

[0080] Example 6

[0081] The preparation method of the structural skeleton is as follows:

[0082] TPR material particles with a hardness of 70 degrees are added to a single-screw extruder to produce wire. Then, the sole skeleton is designed into a square buffer structure according to ergonomics and printed using a commercial fused deposition 3D printer.

[0083] Example 7

[0084] The preparation method of the structural skeleton is as follows:

[0085] TPR material particles with a hardness of 70 degrees are added to a single-screw extruder to produce wire. Then, according to ergonomics, the sole skeleton is designed as an interlocking buffer structure and printed using a commercial fused deposition 3D printer.

[0086] Example 8

[0087] The preparation method of the buffer energy absorption system is as follows:

[0088] Based on the extrusion 3D printing device, the flexible filler precursor obtained in Example 1 is filled into the structural skeleton obtained in Example 4 to obtain a buffer energy absorption system, and then the buffer energy absorption system is placed in a corresponding mold and vulcanized at 20 MPa and 100 degrees Celsius for 15 minutes, and then cooled, formed and demolded to obtain the final buffer energy absorption system.

[0089] Example 9

[0090] Here’s how to assemble the smart sensing system:

[0091] The buffering and energy absorption system obtained in Example 7 is processed into a finished sports shoe, a Bluetooth film multi-channel pressure sensor is attached to the upper surface of the sole of the sports shoe, the ResNet34 convolutional neural network code based on residual analysis is compiled on the corresponding control terminal device, and data collection and neural network training are performed on the corresponding gait.

[0092] Finally, it should be noted that: Obviously, the above embodiments are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from this are still within the scope of protection of the present invention.

Claims

1. A smart sports shoe, characterized in that: The smart sports shoe comprises a buffering and energy absorbing system and an intelligent sensing system; the buffering and energy absorbing system is used for shock absorption and buffering; the intelligent sensing system is used for health monitoring; the buffering and energy absorbing system constitutes the sole part of the smart sports shoe.

2. The smart sports shoe according to claim 1, characterized in that: The buffer energy absorption system comprises a structural frame formed by styrene block polymer TPR rubber and a flexible filler formed by shear hardening rubber and methyl vinyl silicone rubber; the flexible filler is completely filled in the structural frame.

3. The smart sports shoes according to claim 2, characterized in that: The structural skeleton is made of TPR rubber through fused deposition 3D printing technology.

4. The smart sports shoes according to claim 3, characterized in that: The skeleton structure includes but is not limited to a honeycomb structure, a square structure, a triangle structure, and an interlocking structure, and the surface density includes but is not limited to 30%.

5. The smart sports shoes according to claim 2, characterized in that: The flexible filler is filled into the structural skeleton by direct ink writing 3D printing technology.

6. The smart sports shoes according to claim 2, characterized in that: The TPR material is a rubber material, and its particle hardness includes but is not limited to 70 degrees, 80 degrees, and 90 degrees; the TPR material particles are added into a single-screw extruder to prepare the wire used for printing.

7. The smart sports shoe according to claim 6, characterized in that: The shear hardening adhesive is formed by hydroxy silicone oil and boride, the mass ratio of the hydroxy silicone oil to the boride is 20:1; the shear hardening adhesive is formed at 180 degrees Celsius.

8. The smart sports shoes according to claim 7, characterized in that: The model of methyl vinyl silicone rubber is 110-2; the shear hardening rubber and methyl vinyl silicone rubber are stirred in an internal mixer at a speed of 45 rpm for 20 minutes; the mass ratio of the shear hardening rubber to the methyl vinyl silicone rubber in the flexible filler includes but is not limited to 0:100, 30:70, and 60:40; the buffer energy absorption system is vulcanized in an automatic flat plate vulcanizer at 100 degrees Celsius and 20 MPa for 15 minutes to finally form.

9. The smart sports shoe according to claim 1, characterized in that: The intelligent sensing system includes a wireless electromechanical sensing module and a signal recognition intelligent module.

10. The smart sports shoe according to claim 9, characterized in that: The wireless force-electric sensing module includes a multi-channel thin film pressure sensor, a power supply and a Bluetooth wireless data acquisition device; the multi-channel thin film pressure sensor completely covers the upper surface of the inner sole of the sports shoe to collect the wearer's foot force data in real time; the power supply provides energy support for the wireless force-electric sensing module; the Bluetooth wireless data acquisition device connects to the control terminal to transmit the collected data in real time.

11. The smart sports shoe according to claim 9, characterized in that: The signal recognition intelligent module is implemented based on a residual analysis convolutional neural network; the convolutional neural network consists of a convolutional layer, a pooling layer, and a fully connected layer, wherein the convolutional layer extracts image features, the pooling layer downsamples to reduce the dimension of image data, and finally the fully connected layer classifies the image and outputs the result.

12. A method for preparing the smart sports shoes according to any one of claims 1 to 11, characterized in that: The steps include: Step 1: Preparation of a buffer energy absorption system; comprising: a. Adding TPR particles into a single screw extruder to prepare TPR wire; b. Using the obtained TPR wire, a structural skeleton in the shape of a sole having a certain length and thickness is prepared by fused deposition 3D printing; c. Filling the obtained structural skeleton with a flexible filler precursor using an extrusion 3D printer; d. Place the buffer energy absorption system into the corresponding mold and vulcanize it at 20 MPa and 100 degrees Celsius for 15 minutes, cool and demold to obtain the buffer energy absorption system and smart sports shoe sole; e. Processing the buffer energy absorption system to obtain a smart sports shoe body; Step 2: Implementation of the intelligent sensing system; including: a. Paste a Bluetooth film multi-channel pressure sensor on the upper surface of the sole of the obtained smart sports shoe; b. Compile the ResNet34 convolutional neural network code based on residual analysis on the control terminal device, and collect data and train the neural network for the corresponding gait.

Images