Rock climbing shoe design and foot injury evaluation and prediction method and computer equipment

Abstract

The invention provides a rock climbing shoe design and foot injury evaluation and prediction method and computer equipment, and the method comprises the steps: obtaining human foot data and rock climbing shoe data, and constructing a human foot biological model and a rock climbing shoe three-dimensional model; assembling and coupling the obtained foot biological model and the rock climbing shoe three-dimensional model to construct a foot-rock climbing shoe three-dimensional model; the foot-climbing shoe model is used for simulating climbing kicking and stretching actions, and plantar pressure distribution and stress-strain data of foot metatarsophalangeal joints are obtained; and according to the obtained data result, carrying out region division on the sole of the rock climbing shoe, and carrying out iterative optimization on the hardness and the thickness of the sole to obtain an optimal combination. According to the method, the foot injury possibly suffered by a rock climber during rock climbing can be scientifically evaluated and predicted, so that important safety reference information is provided for the rock climber, meanwhile, a rock climbing shoe product design method is provided, and the cost is reduced while the foot injury risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of rock climbing shoe design and sports injury prediction simulation, and in particular to a rock climbing shoe design and foot injury evaluation prediction method and computer equipment. Background Art

[0002] The hard or soft material of the sole of the climbing shoe, as well as the change of thickness, will cause changes in the biomechanical characteristics of the foot during climbing, thus inducing foot injuries. Modern climbing shoes generally use lightweight, highly adhesive rubber soles to facilitate climbers to better use climbing foot techniques such as pushing and stretching. This requires the sole rubber to have characteristics such as light weight, not easy to deform, and good friction resistance. However, for climbers, as the number of years of exercise increases, long-term use of tight climbing shoes will lead to excessive strain on the feet, especially the long-term compression environment of the metatarsal joint changes the stress and strain of the internal bones, which can easily cause hallux valgus and claw toes. Biomechanical factors are crucial in the study of foot diseases, but it is difficult to directly measure the stress and strain inside the foot.

[0003] Current research mostly relies on human specimens or experimental analysis of the external mechanical conditions of the foot and shoes, which makes it difficult to fully explain the internal mechanism. Sports shoe testing is usually time-consuming and costly, and it is impossible to directly understand the impact of shoe parameter changes on foot bone stress and strain. The finite element method is widely used in biomechanical research, which can effectively simulate the motion state and output accurate internal stress and strain values. Although the finite element method has been used in clothing simulation, it is rare to use it for motion simulation research on the composite model of the foot and rock climbing shoes. At present, no research has directly confirmed that the soles of rock climbing shoes will cause excessive abnormal force on the foot, but combined with the relevant rock climbing foot injury research and the impact of shoes on the biomechanical characteristics of the foot, there is a certain connection between the two. How to improve the comfort of rock climbers' sports wear and reduce the risk of metatarsophalangeal joint injuries is an urgent problem to be solved. Summary of the invention

[0004] In view of the defects in the prior art, the purpose of the present invention is to provide a rock climbing shoe design and foot injury evaluation and prediction method and computer equipment. The present invention is used to overcome the limitations of the existing technology in that the material properties of the rock climbing shoe soles affect the measurement of plantar pressure and the measurement of bone stress and strain inside the metatarsal joint. The present invention can scientifically evaluate and predict the foot injuries that rock climbers may suffer when rock climbing, thereby providing important safety reference information for rock climbers. At the same time, a rock climbing shoe product design method is provided to reduce the risk of injury while reducing costs.

[0005] To solve the above problems, the technical solution of the present invention is:

[0006] A rock climbing shoe design and foot injury evaluation and prediction method comprises the following steps:

[0007] Obtain human foot data and rock climbing shoe data, and construct a human foot biological model and a 3D model of a rock climbing shoe;

[0008] Assemble and couple the obtained foot biological model and the 3D model of the rock climbing shoe to construct a foot-rock climbing shoe 3D model;

[0009] Use the foot-rock climbing shoe model to simulate the rock climbing extension action, and obtain the plantar pressure distribution and the stress and strain data of the metatarsophalangeal joint of the foot;

[0010] According to the obtained data results, divide the area of the rock climbing shoe sole, and iteratively optimize the hardness and thickness of the sole to obtain the optimal combination.

[0011] Preferably, the steps of obtaining human foot data and rock climbing shoe data and constructing a human foot biological model and a 3D model of a rock climbing shoe specifically include:

[0012] Obtain human foot data through CT scanning, including soft tissues, bones, cartilage, ligaments and plantar fascia, and assemble them to obtain a complete foot biological model;

[0013] Use a handheld 3D scanner to scan the rock climbing shoe data to obtain a 3D model of the rock climbing shoe;

[0014] Import the foot biological model and the 3D model of the rock climbing shoe into Geomagic software for model optimization, and convert them into solid surface models.

[0015] Preferably, the steps of assembling and coupling the obtained foot biological model and the 3D model of the rock climbing shoe to construct a foot-rock climbing shoe 3D model specifically include: Use Solidworks software to simulate the bending of the metatarsophalangeal joint of the foot to simulate the real foot wearing state, and assemble the 3D model of the rock climbing shoe with the foot model, and import it into the finite element preprocessing software to modify the mesh of the model interference area.

[0016] Preferably, the steps of using the foot-rock climbing shoe model to simulate the rock climbing extension action and obtaining the plantar pressure distribution and the stress and strain data of the metatarsophalangeal joint of the foot specifically include:

[0017] Use a 3D force platform and a high-speed camera to obtain data related to the rock climbing extension action;

[0018] Input the data into finite element software, perform mesh generation in the finite element preprocessing software, and perform mesh quality inspection and repair, and then import it into the finite element software for material setting, contact setting, definition of boundary conditions and load setting;

[0019] Apply force to the bones for finite element simulation to obtain the plantar pressure distribution and the stress and strain data of the bones of the metatarsophalangeal joint.

[0020] Preferably, the step of dividing the sole of the climbing shoe into regions according to the obtained data results, and iteratively optimizing the hardness and thickness of the sole to obtain an optimal combination specifically includes: dividing the sole of the climbing shoe according to the plantar pressure distribution obtained from finite element simulation and the stress-strain data of the metatarsophalangeal joint of the foot, combining the hardness and thickness of the sole material for each region, and iteratively optimizing the hardness and thickness of the sole material of the climbing shoe to obtain an optimal combination, so that the stress and strain of the metatarsophalangeal joint are minimized when the climber performs the climbing extension action, and the injury is alleviated to the greatest extent.

[0021] Further, the present invention also provides a computer device, including a processor and a memory for storing executable instructions of the processor, and the processor is configured to execute the climbing shoe design and foot injury evaluation and prediction method as described above by executing the executable instructions.

[0022] Compared with the prior art, the present invention constructs a three-dimensional model of the foot-climbing shoe, simulates it based on the most common extension action in climbing, determines the plantar pressure distribution of the three-dimensional model of the foot-climbing shoe and the stress and strain of the internal bones of the metatarsophalangeal joint. According to the obtained results, the sole of the climbing shoe is divided into regions, and the hardness and thickness of the material are changed and iteratively optimized to obtain a sole material combination that can alleviate foot injuries to the greatest extent. It not only reduces the cost input in the testing process, but also greatly shortens the time required for testing, and further improves the overall safety of the testing. It solves the limitations of the influence detection of the sole material of the climbing shoe on the plantar pressure and the measurement of the stress and strain of the internal bones in the prior art, and at the same time provides a method for designing a climbing shoe product, which reduces the cost while improving the wearing comfort. Description of the Drawings

[0023] By reading the following detailed description of the non-limiting embodiments with reference to the accompanying drawings, other features, objects, and advantages of the present invention will become more apparent:

[0024] Figure 1 It is a flowchart of the climbing shoe design and foot injury evaluation and prediction method of the present invention

[0025] Figure 2 It is a biological model diagram of the human foot in the present invention;

[0026] Figure 3 It is a three-dimensional model diagram of the foot-climbing shoe in the present invention;

[0027] Figure 4 It is a schematic structural diagram of the computer device in the present invention. Detailed Embodiments

[0028] The present invention will be described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several changes and improvements can still be made. These all belong to the protection scope of the present invention.

[0029] Specifically, the present invention provides a rock climbing shoe design and a method for evaluating and predicting foot injuries, as Figure 1 shown, the method includes the following steps:

[0030] S1: Obtain human foot data and rock climbing shoe data, and construct a human foot biological model and a three-dimensional model of the rock climbing shoe;

[0031] As Figure 2 shown, obtain human foot data through CT scanning, including soft tissues, bones, cartilage, ligaments, and plantar fascia, and assemble them to obtain a complete foot biological model. Specifically, obtain human foot data through CT scanning and import it into Mimics software. Generate continuous tomographic images of the sagittal plane, coronal plane, and horizontal plane automatically through the convert operation. Since the material components and densities of different tissues are different, the grayscales presented in the CT images will be different. Accordingly, set different grayscale thresholds, segment the images, and extract the bone edges. For parts that are difficult to clearly identify by threshold segmentation between bones, use the manual division method, combined with single-layer editing and multi-layer editing tools, to outline and extract the boundary contours of each bone. Due to the grayscale differences brought about by bone cavities and cortical bone cancellous bone, it will cause the formed three-dimensional bone model to have hollow or internal voids. For this, assume the bone as a homogeneous solid structure and fill the gaps manually. At the same time, use the same idea to extract the entire outer contour of the ankle as the overall soft tissue of the ankle model. After image segmentation, use the calculate 3D function to generate a three-dimensional shell model of all bones and ankle soft tissues, and use the smooth tool to appropriately smooth the surface. Finally, a total of 28 bones including the distal tibia, distal fibula, talus, calcaneus, navicular bone, cuboid bone, 3 cuneiform bones, 5 metatarsal bones, and 14 phalanges, as well as the outer contour of the foot soft tissues, are extracted and saved in stl format.

[0032] Use a handheld 3D scanner to perform a complete scan of the rock climbing shoe to obtain a three-dimensional model of the rock climbing shoe. Then import the reconstructed foot biological model and the three-dimensional model of the rock climbing shoe into Geomagic software to perform smoothing and repairing mesh processing on the model surface and remove interference, and divide the three-dimensional model of the rock climbing shoe into two parts: the sole and the upper using the segmentation tool.

[0033] S2: Assemble and couple the obtained foot biological model and the 3D model of the climbing shoes to construct a 3D foot-climbing shoe model;

[0034] As Figure 3 shown, import the model processed in step S1 into Solidworks to assemble the foot model, construct cartilage, ligaments and plantar fascia according to human anatomy, remove interference to obtain a complete foot biological model, then assemble and couple the climbing shoe model with the foot model, and establish a cuboid support plate with a size of 50 cm X 50 cm and a thickness of 3 cm, as well as a climbing rock point.

[0035] Specifically, import the stp format file into Solidworks 2018, save it as a part format one by one, and establish articular cartilage. Simulate the articular cartilage with the intercepted shape of a cylinder, establish a cylindrical solid with an appropriate size, drag it to the corresponding joint surface position, and use the Boolean tool to cut the bones on both sides respectively to complete the construction of the articular cartilage. A total of 27 articular cartilages including the talocalcaneal joint, calcaneocuboid joint, tarsometatarsal joint, etc. are constructed, and a horizontal support plate and a rock point are constructed. Then import each component and assemble them into an assembly with the origin as the reference, and perform interference inspection and interference removal operations, and then store it in the x_t format.

[0036] S3: Use the foot-climbing shoe model to simulate the climbing extension action to obtain the plantar pressure distribution and the stress and strain data of the metatarsophalangeal joint of the foot;

[0037] First, use a 3D force platform and a 3D motion capture system to obtain data related to the climbing extension action; input the data into finite element software, perform mesh division in the finite element preprocessing software, and perform mesh quality inspection and repair, and then import it into the finite element software for material setting, contact setting, definition of boundary conditions and load setting, apply force to the bones for finite element simulation, and obtain the plantar pressure distribution and the stress and strain nephogram of the metatarsophalangeal joint bones.

[0038] Specifically, mesh generation is performed in the finite element preprocessing software. Two-node line elements are used for the ligaments and plantar fascia. The foot bones, cartilage, soft tissues, and climbing shoe meshes are set as tetrahedral meshes, and the support plate is set as a hexahedral mesh. The mesh size is set, where the overall element size of the bones is 4 mm, the soft tissues are 3 mm, the ligaments and plantar fascia are 1 mm, the cartilage is 2 mm, the shoe upper is 4 mm, the sole is 4 mm, the support plate and the rock points are 5 mm. After checking the mesh quality, it is imported into the finite element software. First, the material properties are set. The bones are defined as homogeneous linear elastic materials, with the elastic modulus and Poisson's ratio set to 7300 MPa and 0.3 respectively. The ligaments and plantar fascia are regarded as linearly elastic isotropic materials, with the elastic modulus and Poisson's ratio being 260 MPa and 0.4 respectively, and the density is 1.1 g / cm3. The cartilage has an elastic modulus of 1 MPa, a Poisson's ratio of 0.4, and a density of 1.15 g / cm3. The elastic modulus and Poisson's ratio of the soft tissues are set to 1.15 MPa and 0.49 respectively. Then, the contact settings are made. A bonded contact is set between the bones, cartilage, and soft tissues. A frictional contact is directly set between the soft tissues and the climbing shoe, with a friction coefficient of 0.6. A frictional contact is set between the climbing shoe and the support plate, with a friction coefficient of 0.6. A frictional contact is set between the climbing shoe and the rock points, with a friction coefficient of 0.6. The boundary conditions are set to fully constrain the upper surfaces of the tibia and fibula. The input load is used to simulate the climbing extension motion to obtain the plantar pressure distribution and the stress-strain data of the metatarsophalangeal joints of the foot.

[0039] S4: According to the obtained data results, the sole of the climbing shoe is divided into regions, and the hardness and thickness of the sole are iteratively optimized to obtain the optimal combination.

[0040] Specifically, based on the plantar pressure distribution and the stress-strain data of the metatarsophalangeal joints of the foot obtained from the finite element simulation, the sole of the climbing shoe is divided into regions. The sole is divided according to the pressure distribution in different regions, and the hardness and thickness of the sole material in each region are combined. The hardness and thickness of the sole material of the climbing shoe are iteratively optimized to obtain the optimal combination, so that the stress and strain of the metatarsophalangeal joints are minimized when the climber performs the climbing extension motion, and the injury is alleviated to the greatest extent.

[0041] Such as Figure 4As shown, an embodiment of the present invention relates to a computer device, which includes at least one processor connected to at least one memory. At least one computer program is pre-stored in the memory, and these programs can be loaded and executed by the processor. In this way, the computer device can implement any one of the rock climbing shoe design and foot injury evaluation and prediction methods provided by the present invention. Specifically, the configuration and performance of the computer device may vary significantly depending on different models and uses. For example, it may include one or more central processing units (CPUs) and one or more memories. In these memories, at least one computer program is stored, and these programs can be loaded and executed by one or more processors, enabling the computer device to execute the rock climbing shoe design and foot injury evaluation and prediction methods provided in the above embodiments. In addition, to meet different input / output requirements, the computer device may also be equipped with components such as wired or wireless network interfaces, keyboards, and other input / output interfaces. These components enable the computer device to exchange data and communicate with external devices. Of course, in addition to the components mentioned above, the computer device may also include other components and modules for implementing its specific functions.

[0042] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Without conflict, the embodiments of the present application and the features in the embodiments can be combined arbitrarily.

Claims

1. A rock climbing shoe design and foot injury evaluation and prediction method, characterized in that: The method comprises the following steps: Obtain human foot data and rock climbing shoe data, and construct a human foot biological model and a rock climbing shoe three-dimensional model; The obtained foot biological model and the rock climbing shoe three-dimensional model are assembled and coupled to construct a foot-rock climbing shoe three-dimensional model; The foot-rock climbing shoe model was used to simulate the rock climbing push-off action to obtain the plantar pressure distribution and the stress-strain data of the metatarsophalangeal joints of the foot; According to the data obtained, the soles of the climbing shoes are divided into regions, and the hardness and thickness of the soles are iteratively optimized to obtain the optimal combination.

2. The rock climbing shoe design and foot injury evaluation and prediction method according to claim 1, characterized in that: The steps of acquiring human foot data and rock climbing shoe data and constructing a human foot biological model and a rock climbing shoe three-dimensional model specifically include: The human foot data, including soft tissue, bones, cartilage, ligaments and plantar fascia, are obtained through CT scanning, and then assembled to obtain a complete foot biological model; Scan the climbing shoe data with a handheld 3D scanner to obtain a 3D model of the climbing shoe; The foot biological model and the three-dimensional model of the climbing shoe were imported into Geomagic software for model optimization and converted into a solid surface model.

3. The rock climbing shoe design and foot injury evaluation and prediction method according to claim 1, characterized in that: The step of assembling and coupling the obtained foot biological model and the three-dimensional model of the rock climbing shoe to construct the foot-rock climbing shoe three-dimensional model specifically includes: using Solidworks software to bend the metatarsophalangeal joint of the foot to simulate the actual foot wearing state, and assembling the three-dimensional model of the rock climbing shoe with the foot model, and importing them into the finite element pre-processing software to modify the mesh of the model interference area.

4. The rock climbing shoe design and foot injury evaluation and prediction method according to claim 1, characterized in that: The step of simulating the rock climbing push-off action by using the foot-rock climbing shoe model to obtain the plantar pressure distribution and the stress and strain data of the metatarsophalangeal joint of the foot specifically includes: Using a three-dimensional force platform and a high-speed camera, we can obtain data related to rock climbing and stretching movements; Input the data into the finite element software, perform meshing in the finite element pre-processing software, and perform mesh quality inspection and repair, and then import it into the finite element software to perform material setting, contact setting, boundary condition definition and load setting; Finite element simulation of the forces applied to the bones was performed to obtain the plantar pressure distribution and the stress and strain data of the metatarsophalangeal joint bones.

5. The rock climbing shoe design and foot injury evaluation and prediction method according to claim 1, characterized in that: The steps of dividing the sole of the rock climbing shoe into regions according to the acquired data results, and iteratively optimizing the hardness and thickness of the sole to obtain the optimal combination specifically include: dividing the sole of the rock climbing shoe into regions according to the plantar pressure distribution and the stress-strain data of the metatarsophalangeal joint of the foot obtained by finite element simulation, dividing the sole according to the pressure distribution in different regions, combining the hardness and thickness of the sole material in each region, iteratively optimizing the hardness and thickness of the sole material of the rock climbing shoe to obtain the optimal combination, so that the stress and strain of the metatarsophalangeal joint of the rock climber is minimized when performing rock climbing extension movements, and the injury is alleviated to the greatest extent.

6. A computer device, characterized in that: The computer device includes a processor and a memory for storing executable instructions of the processor, and the processor is configured to execute the climbing shoe design and foot injury assessment and prediction method according to any one of claims 1 to 5 by executing the executable instructions.

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