CN117731093A - Sole manufacturing method, sole and shoe - Google Patents

Abstract

The application is applicable to the technical field of sole manufacturing, and particularly relates to a sole manufacturing method, a sole and a shoe, wherein the method comprises the following steps: acquiring user activity data; the user activity data comprise sole length data of a user, step length data and step frequency data of the user in the walking process; obtaining first manufacturing data according to the sole length data and the sole length number; obtaining second manufacturing data according to the step length data and the step frequency data; obtaining a sole manufacturing method based on the first manufacturing data and the second manufacturing data; the sole manufacturing apparatus is controlled to manufacture the sole based on the sole manufacturing method. The sole manufacturing method can solve the problem that the sole is difficult to meet personalized requirements of users.

Description

Sole manufacturing method, sole and shoe

Technical field

The present application belongs to the technical field of shoe sole manufacturing, and in particular relates to a shoe sole manufacturing method, shoe sole and shoes.

Background technique

Shoes are a kind of decoration worn on the feet or a product used to protect the feet. There are many types and styles of shoes, and different shoes are suitable for different occasions and needs. For example, sports shoes are suitable for various sports, leather shoes are suitable for formal occasions, and sandals are suitable for summer wear, etc. The sole refers to the bottom of the shoe, which is used to protect the sole of the foot and provide cushioning and support. The material and manufacturing method of the sole have a great impact on the comfort, anti-slip, and wear resistance of the shoe.

The traditional sole manufacturing method uses fixed molds for mass production, making it difficult to meet the individual needs of users.

Contents of the invention

Embodiments of the present application provide a method for manufacturing a sole, a sole and a shoe, which can solve the problem that the sole is difficult to meet the personalized needs of users.

In a first aspect, embodiments of the present application provide a shoe sole manufacturing method, including:

Obtain user activity data; wherein the user activity data includes the user's sole length data and the user's step length data and step frequency data during walking;

According to the sole length data and the sole length number, first manufacturing data is obtained;

According to the step length data and the step frequency data, second manufacturing data is obtained;

Based on the first manufacturing data and the second manufacturing data, a shoe sole manufacturing method is obtained;

Based on the shoe sole manufacturing method, the shoe sole manufacturing device is controlled to manufacture the shoe sole.

The above-mentioned technical solutions in the embodiments of the present application at least have the following technical effects:

The sole manufacturing method provided by the present application, first, by obtaining the user's foot length data in the user activity data and the step length data and the step frequency data of the user during the walking process, the shoes that meet the individual needs can be customized according to the user's foot size, and a more comfortable wearing experience can be provided, thereby meeting the personalized needs of the user. Secondly, by obtaining the first manufacturing data according to the foot length data, it is possible to avoid the appearance of too large or too small soles, and then the size of the soles can be more accurately matched, which helps the user to choose shoes of the right size, provides a better wearing experience and comfort, and then meets the personalized needs of the user. Thirdly, according to the step length data and the step frequency data, the second manufacturing data is obtained, which can be used for subsequent optimization of parameters such as the material, structure and shape of the sole, so that the sole is more ergonomic, improves the movement efficiency and comfort, and meets the personalized needs and usage habits of each user. Secondly, based on the first manufacturing data and the second manufacturing data, the sole manufacturing method is obtained, which can be based on obtaining accurate size matching information and the user's personal feature information to ensure that each pair of soles meets the user's requirements, thereby improving the quality of the shoes and user satisfaction. Finally, based on the sole manufacturing method, controlling the sole manufacturing device to manufacture the sole can control the parameters and variables in the sole manufacturing process to ensure that the quality and performance of each sole meet the requirements to meet the needs of different users for different types and styles of soles.

In a possible implementation of the first aspect, the user's sole length data and weight data are obtained;

Based on the sole length data and the weight data, simulate the pressure data of the user's sole during walking;

Perform pressure analysis on the pressure data to obtain the step length data and the step frequency data.

In a possible implementation of the first aspect, a pressure image is simulated and obtained according to the pressure data;

According to the pressure image, first pressure point data and second pressure point data are obtained; wherein the first pressure point data includes the first peak data of the highest pressure point when the left foot touches the ground for the first time; the second pressure point data is obtained. The pressure point data includes the second peak data of the highest pressure point when the left foot touches the ground for the second time;

Perform peak time difference processing according to the first wave peak data and the second wave peak data to obtain the step frequency data;

Get the user's walking speed data;

The step length data is obtained according to the step frequency data and the walking speed data.

In a possible implementation of the first aspect, sole length data in the sole size database is obtained;

Match the sole length data with the sole length data to obtain matching data;

The comfort of the sole is adjusted based on the matching data to obtain first manufacturing data.

In a possible implementation of the first aspect, the step length data and the step frequency data are matched with a preset sole material database to obtain material data;

Match the step length data and the step frequency data with a preset sole texture database to obtain texture data;

The second manufacturing data is obtained according to the material data and the texture data.

In a possible implementation of the first aspect, the foot landing angle of the user during walking is obtained;

Perform sole bending analysis and processing according to the foot landing angle, the pressure data, the step length data and the stride frequency data to obtain sole bending data;

Get the user's arch data;

The second manufacturing data is obtained based on the material data, the texture data, the sole bending data and the foot arch data.

In a possible implementation of the first aspect, obtaining the arch height data and the arch shape data of the arch data;

Perform type analysis on the arch height data and the sole bending data to obtain stability relationship data; wherein the stability relationship data includes the first demand data for each type of arch height corresponding to the stability of each sole. ;

Characteristic analysis is performed on the arch shape data and the sole bending data to obtain supportive relationship data; wherein the supportive relationship data includes second demand data corresponding to the supportive properties of each sole for each type of arch shape. ;

The second manufacturing data is obtained according to the material data, the texture data, the first demand data and the second demand data.

In a possible implementation of the first aspect, physical performance simulation testing is performed based on the first manufacturing data and the second manufacturing data to obtain test parameters;

According to the test parameters, the process parameter data in the sole manufacturing process is determined; wherein the process parameter data includes temperature data during the manufacturing of the sole material;

Based on the temperature data, process sequence data is determined; wherein the process sequence data includes sequential step data in which a low-temperature process is performed first and then a high-temperature process is performed in the sole manufacturing process;

According to the sequential step data, the shoe sole manufacturing method is obtained.

In a possible implementation of the first aspect, usage scenario data of shoes is obtained;

The usage scenario data is matched with a preset usage scenario database to obtain third manufacturing data; wherein the usage scenario database includes sports scene information and rainy day scene information; the third manufacturing data includes the use of First manufacturing information of processing rubber into shoe soles with concave and convex patterns and second manufacturing information of using shoe soles with drainage grooves and anti-slip patterns in rainy weather scenes;

Based on the first manufacturing data, the second manufacturing data, the first manufacturing information, and the second manufacturing information, the shoe sole manufacturing method is obtained.

In a second aspect, embodiments of the present application provide a shoe sole manufacturing system, including:

An acquisition unit, configured to acquire user activity data; wherein the user activity data includes the user's sole length data and the user's step length data and step frequency data during walking;

A first generation unit, configured to obtain first manufacturing data based on the sole length data;

a second generation unit, configured to obtain second manufacturing data according to the step length data and the step frequency data;

A processing unit configured to obtain a shoe sole manufacturing method based on the first manufacturing data and the second manufacturing data;

A control unit, configured to control the shoe sole manufacturing device to manufacture shoe soles based on the shoe sole manufacturing method.

In a third aspect, embodiments of the present application provide a shoe sole manufacturing equipment, including a user data acquisition device and a shoe sole manufacturing device. The user data acquisition device is electrically connected to the shoe sole manufacturing device. The shoe sole manufacturing device includes a memory, A processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the shoe sole manufacturing method according to any one of the above first aspects is implemented.

In a fourth aspect, embodiments of the present application provide a shoe sole produced by the shoe sole manufacturing equipment of the third aspect.

In a fifth aspect, embodiments of the present application provide a shoe, which includes the sole of the fourth aspect.

It can be understood that the beneficial effects of the above-mentioned second aspect to the fifth aspect can be referred to the relevant description in the above-mentioned first aspect, and will not be described again here.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the purpose of the present application. For some embodiments, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic flow chart of a shoe sole manufacturing method provided by an embodiment of the present application;

Figure 2 is a schematic flow diagram of the implementation of step S100 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 3 is a schematic flow diagram of the implementation of step S130 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 4 is a schematic flow diagram of the implementation of step S200 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 5 is a schematic flow diagram of the implementation of step S300 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 6 is a schematic flow diagram of the implementation of step S330 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 7 is a schematic flow diagram of the implementation of step S334 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 8 is a schematic flow diagram of the implementation of step S400 in the shoe sole manufacturing method provided by an embodiment of the present application;

Figure 9 is a schematic flow diagram of the implementation of step S400 in the shoe sole manufacturing method provided by another embodiment of the present application;

Figure 10 is a schematic structural diagram of a shoe sole manufacturing system provided by an embodiment of the present application;

Figure 11 is a schematic structural diagram of the sole manufacturing device of the sole manufacturing equipment provided by the embodiment of the present application.

Implementation

In the following description, for the purpose of explanation rather than limitation, specific details such as specific system structures and technologies are provided to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It will be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements and/or components but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and/or collections thereof.

It will also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be interpreted, depending on the context, to mean "once determined" or "in response to a determination" or "once the [described condition or event] is detected ]" or "in response to detection of [the described condition or event]".

In addition, in the description of this application and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

Reference in this specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Therefore, the phrases "in one embodiment", "in some embodiments", "in other embodiments", "in other embodiments", etc. appearing in different places in this specification are not necessarily References are made to the same embodiment, but rather to "one or more but not all embodiments" unless specifically stated otherwise. The terms “including,” “includes,” “having,” and variations thereof all mean “including but not limited to,” unless otherwise specifically emphasized.

Shoes are a kind of decoration worn on the feet or a product used to protect the feet. There are many types and styles of shoes, and different shoes are suitable for different occasions and needs. For example, sports shoes are suitable for various sports, leather shoes are suitable for formal occasions, and sandals are suitable for summer wear, etc. The sole refers to the bottom of the shoe, which is used to protect the sole of the foot and provide cushioning and support. The material and manufacturing method of the sole have a great impact on the comfort, anti-slip, and wear resistance of the shoe.

The traditional sole manufacturing method uses fixed molds for mass production, making it difficult to meet the individual needs of users.

In order to solve the above problems, embodiments of the present application provide a sole manufacturing method, soles and shoes. In this method, first, by obtaining the user's sole length data from the user activity data and the user's step length data and step frequency data during walking, shoes that meet personal needs can be customized according to the user's sole size to provide more comfortable shoes. Wearing experience to meet the personalized needs of users. Secondly, by obtaining the first manufacturing data based on the sole length data, the soles that are too large or too small can be avoided, and the size of the soles can be matched more accurately, which helps users choose shoes of the appropriate size and provide better wear. experience and comfort, thereby meeting the personalized needs of users. Thirdly, based on the step length data and stride frequency data, the second manufacturing data is obtained, which can be used to subsequently optimize the material, structure, shape and other parameters of the sole, making the sole more in line with ergonomic principles, improving movement efficiency and comfort to meet every need. Individual users’ individual needs and usage habits. Secondly, based on the first manufacturing data and the second manufacturing data, the sole manufacturing method is obtained, which can be based on obtaining accurate size matching information and the user's personal characteristic information to ensure that each pair of soles meets the user's requirements, thereby improving the quality and quality of the shoes. customer satisfaction. Finally, based on the sole manufacturing method, controlling the sole manufacturing device to manufacture soles can control the parameters and variables in the sole manufacturing process to ensure that the quality and performance of each sole meet the requirements to meet the needs of different users for different types and styles of soles.

The sole manufacturing method provided by the embodiment of the present application can be applied to the sole manufacturing equipment. In this case, the sole manufacturing equipment is the execution subject of the sole manufacturing method provided by the embodiment of the present application. The specific type of the sole manufacturing equipment is not specified in the embodiment of the present application. limit.

For example, the sole manufacturing equipment may be 3D printing sole manufacturing equipment, injection molding sole manufacturing equipment, etc. The sole manufacturing equipment may include a user data acquisition device and a sole manufacturing device. The user data acquisition device is electrically connected to the sole manufacturing device. For example, the user data acquisition device may be a smart insole or a foot wearable device with sensors. The user can wear the smart insole Or foot wearable devices collect user data such as personal gait, foot pressure distribution, walking habits, etc., and transmit it to the sole manufacturing device through Bluetooth or wireless networks. For example, the sole manufacturing device may include an injection molding machine, a laminating machine, and a control device. The control device is electrically connected to the injection molding machine and the laminating machine respectively. The control device collects user data and analyzes and processes it. Based on the analysis results, it can needs and personalized requirements, and obtain a sole manufacturing method that meets the characteristics and needs of their feet. Then, the control device controls the injection molding machine to inject the molten plastic or rubber material into the mold according to the obtained sole manufacturing method, and at the same time, controls the laminating machine. The soles of different materials are pressed or compounded to form a complete sole structure.

In order to better understand the shoe sole manufacturing method provided by the embodiment of the present application, the specific implementation process of the shoe sole manufacturing method provided by the embodiment of the present application is exemplarily introduced below.

FIG1 shows a schematic flow chart of a sole manufacturing method provided in an embodiment of the present application, and the sole manufacturing method comprises:

S100, obtain user activity data. Among them, the user activity data includes the user's sole length data and the user's step length data and step frequency data during walking.

It is understood that, for example, users can wear smart insoles or shoes. These devices have several sensors built into them, which can record the user's gait and foot data in real time. For example, the sole length and pressure distribution are measured through pressure sensors, and step length data and cadence data are measured through sensors such as accelerometers and gyroscopes. At the same time, the obtained data can be transmitted to sole manufacturing equipment via Bluetooth or wireless network.

With this setting, by obtaining the user's foot length data, the user can be provided with customized soles to ensure that the shoes match the user's foot size and shape, providing better comfort and support. By obtaining the user's step length data, the user's gait and walking habits can be analyzed to provide data support for the subsequent sole manufacturing process. For example, in response to the user's excessive treading or unstable footsteps, the user's gait and walking habits can be analyzed during the subsequent sole manufacturing process. Cushioning material is added to the forefoot part of the sole to reduce the impact of excessive treading. At the same time, arch support material is added to the sole to help users maintain a normal walking posture.

In a possible implementation, please refer to Figure 2, S100, to obtain user activity data, including:

S110: Obtain the user's foot length data and weight data.

It is understood that, for example, users can wear smart insoles or shoes, and these devices have built-in sensors that can record the user's gait and foot data in real time. For example, foot length and weight data are measured through pressure sensors. At the same time, the obtained data can be transmitted to sole manufacturing equipment through Bluetooth or wireless networks.

With this setting, by obtaining the user's sole length data and weight data, it can help the subsequent manufactured soles to be more in line with the user's foot characteristics. Feet of different lengths may require different support and cushioning, and can be customized according to the user's foot length to provide better comfort and support. According to the user's weight data, appropriate materials and structures can be selected for subsequent sole manufacturing to increase the stability and balance of the soles, thereby reducing foot fatigue and discomfort, improving walking stability and safety, and thus meeting the user's needs Personalized needs.

S120, based on the sole length data and weight data, simulates the pressure data of the user's sole during walking.

It is understood that, for example, users can wear smart insoles or shoes. These devices have built-in sensors to obtain pressure data on the soles of the feet when walking by measuring pressure in real time. Motion capture devices, such as sensors, cameras, etc., can also be used to capture the user's movements and postures while walking. By analyzing the changes in movements and postures, the pressure data of the user's soles during walking can be simulated.

In this setting, based on the sole length data and weight data, the pressure data of the sole of the user's sole during walking is simulated. Different lengths of soles and weight will produce different pressures on the soles of the feet. Therefore, customized designs can be provided based on the user's sole length and weight. Better support and cushioning, thereby improving comfort and health, and creating a more personalized sole for the user. By simulating the user's foot pressure data when walking, the user's gait characteristics can be understood, thereby providing corresponding sole design methods for subsequent sole manufacturing and optimizing the stability and balance performance of the sole. These improvements can reduce foot fatigue and discomfort. , improve walking stability and safety.

S130: Perform pressure analysis on the pressure data to obtain step length data and step frequency data.

It can be understood that, for example, when the sole of the foot touches the ground, the pressure sensor in the smart insole worn by the user will detect the peak pressure, and then drop to a lower pressure value, which means that the sole of the foot leaves the ground. Time interval, step length data can be obtained (for example, through the accelerometer or gyroscope in the smart insole, the translation distance between two adjacent peak pressures is obtained) and cadence data. Cadence refers to the number of steps per minute. Cadence can be obtained by calculating the ratio of steps to walking time. For example, in pressure data, the number of steps during walking can be determined by detecting the peak pressure of continuous foot contact. Each time the sole of the foot touches the ground can be regarded as a step, and then the number of steps per minute or the step frequency data per second is calculated.

With this setting, by performing pressure analysis on the pressure data to obtain step length data and cadence data, the walking habits and needs of different groups of people can be understood. These data can be used in the subsequent manufacturing of soles to provide comfort and cadence that better meet individual needs. Supportive. Step length data and cadence data can help subsequent sole manufacturing to select appropriate materials to meet the walking needs of different groups of people and in different scenarios. For example, for sports scenes that require high elasticity and cushioning, you can choose materials with excellent elasticity and cushioning properties. s material.

In a possible implementation, please refer to Figure 3, S130, perform pressure analysis on the pressure data to obtain step length data and step frequency data, including:

S131. According to the pressure data, simulate and obtain the pressure image.

It can be understood that a corresponding coordinate system can be established based on the collected pressure data. For example, the X-axis can represent time or the number of steps, and the Y-axis can represent pressure intensity. Use appropriate simulation software or programming language to simulate pressure images based on pressure data. For example, you can choose to use line charts, curve charts, or heat maps to display data, or you can use three-dimensional pressure distribution charts. As needed, labels and annotations can be added to illustrate key features and information in the image. For example, you can mark key points of pressure changes such as the starting point, end point, peak value, and valley value of pressure.

With this setting, the pressure image is simulated based on the pressure data, and the user's pressure distribution on the sole when walking can be understood, which will help the subsequent manufactured sole to be more in line with the characteristics of the human body. For example, adding cushioning materials to vulnerable parts, adjusting the unevenness of the tread, etc. can improve the comfort and durability of the soles. Moreover, the pressure distribution of different materials in different parts can also be understood, which will help to optimize the subsequent selection of sole materials. For example, using hard materials at the sole of the foot and elastic materials at other locations can reduce discomfort caused by pressure concentration, thereby improving the support and stability of the sole.

S132: Obtain the first pressure point data and the second pressure point data according to the pressure image. The first pressure point data includes the first peak data of the highest pressure point when the left foot first touches the ground. The second pressure point data includes the second peak data of the highest pressure point when the left foot touches the ground for the second time.

It can be understood that, for example, the user wears a smart insole and uses its built-in pressure sensor or pressure measurement device to collect data when the left foot touches the ground. These devices can collect the pressure value at each time point and generate a pressure image. First, determine the peak and trough positions in the pressure image, and then determine the first peak data of the highest pressure point when the left foot touches the ground for the first time and the second wave peak data of the highest pressure point when the left foot touches the ground for the second time.

With this setting, the first pressure point data and the second pressure point data are obtained based on the pressure image, which can help to understand the pressure distribution in different parts and help optimize the material selection of the sole in the subsequent sole manufacturing process. For example, using hard materials at the ball of the foot support points and elastic materials elsewhere improves the sole's support and stability. Through the first pressure point data and the second pressure point data, the pressure distribution of the sole in actual use can be understood, which will help the subsequent sole manufacturing to appropriately add cushioning materials, thereby improving the cushioning performance of the sole and reducing the impact on the human body. , reduce the risk of injury, such as adjusting the unevenness of the tread, adjusting the hardness of the soles, etc., thereby improving the comfort and stability of the soles.

S133. Perform peak time difference processing based on the first wave peak data and the second wave peak data to obtain cadence data.

It can be understood that, for example, the peak positions in the first wave peak data and the second wave peak data can be found, and these positions can be determined by analyzing the peak points of the curve in the pressure image. Use the crest position to calculate the time difference between the first crest and the second crest. You can use the following formula to calculate the time difference: cadence time difference = time at the second crest position - time at the first crest position, and then convert the cadence time difference into cadence Data, cadence refers to the number of steps per minute. The following formula can be used to calculate cadence data: cadence = 60÷cadence time difference.

With this setting, the peak time difference processing is performed based on the first wave peak data and the second wave peak data to obtain the cadence data, which can understand the user's cadence habits when walking, so as to manufacture soles with better cushioning and elasticity based on different cadence habits. For example, for users with high cadence, a more elastic sole can be designed to provide better support and shock absorption, thereby reducing foot fatigue and reducing the risk of injury. Cadence data can also provide foot load data and pressure distribution for the subsequent manufacture of soles, so that the support structure of the sole can be manufactured in a targeted manner. For example, by adding a support structure to the sole, it can provide more effective support and stability, and reduce Foot discomfort and potential for injury. Cadence data can also be used to manufacture personalized soles. According to the user's different cadence habits and walking methods, soles can be customized to better meet individual needs and improve user experience and comfort.

S134, obtain the user's walking speed data.

It can be understood that, for example, the user wears smart insoles and uses its built-in accelerometer and gyroscope to measure the user's walking speed data, or professional sports tracking devices such as smart watches, smart bracelets or professional step counters can be used. Users can wear these devices and obtain walking speed data through their built-in sensors.

With this setting, by obtaining the user's walking speed data, the subsequent sole manufacturing can better understand the user's cushioning needs during exercise. Different walking speeds require different sole cushioning manufacturing to provide the best cushioning. vibration effect to meet the personalized needs of users. Walking speed data can also reveal changes in the user's walking or running posture and stride size. This information can be used to subsequently manufacture the stability of the soles to provide better support and stability, helping users maintain correct posture and reduce injuries. risk.

S135: Obtain step length data based on the cadence data and walking speed data.

It can be understood that, for example, step length (m) = walking speed (m/s) ÷ cadence (steps/second), for example, if a person's walking speed is 1.5 meters/second and the cadence is 1.5 steps/second, then His step length is: step length = 1.5 (meters/second) ÷ 1.5 (steps/second) = 1 meter/step.

With this setting, the step length data is obtained based on the cadence data and walking speed data, which can better understand the user's cushioning needs during exercise. Different step lengths require different sole cushioning designs to provide the best Shock absorbing effect. Therefore, optimizing the cushioning design based on step length data can make the subsequently manufactured soles more in line with user needs. The structure and material of the sole can also be adjusted based on step length data to provide better support and stability, helping users maintain correct posture and reduce the risk of injury.

S200, obtain the first manufacturing data based on the sole length data.

It can be understood that, for example, the user's shoe size range can be determined by referring to the shoe size table, and the corresponding user's shoe size can be input to the sole manufacturing device to obtain the first manufacturing data, or the shoe size corresponding to different sole lengths can be preset in the control device. Shoe size database, and matching in the preset shoe size database (for example, the sole length is 22 cm, the corresponding Chinese men's shoe size is 35, and the corresponding Chinese women's shoe size is 34), get the first As for the manufacturing data, a size conversion algorithm can also be set in the control device to obtain the first manufacturing data, for example, shoe size = a × sole length + b, where a and b are size conversion coefficients. For example, the first manufacturing data may be that the manufactured shoe sole size is the shoe sole size corresponding to the length of the user's sole.

With this setting, the first manufacturing data can be obtained based on the sole length data, which can ensure that the subsequently manufactured soles can better fit the user's foot shape, improve the user's wearing comfort, and avoid soles that are too small or too large that may cause foot damage. Discomfort or wear will affect the user's walking and sports experience. At the same time, if the sole is too small or too large, it will cause uneven wear of the sole and shorten the service life of the sole. Based on the first manufacturing data obtained from the sole length data, you can choose the appropriate one. Shoe size to avoid these problems.

In a possible implementation, please refer to Figure 4, S200, according to the sole length data, the first manufacturing data is obtained, including:

S210: Obtain sole length data in the sole size database.

It will be appreciated that, for example, industry standards, codes and guidelines can be consulted, which often contain information on shoe sole size and length data, and that different sizes and models of shoe soles can be measured using measuring tools such as tape measures or measuring instruments. , and record the corresponding sole length data.

In this setting, by obtaining the sole length data in the sole size database, the subsequently manufactured soles can be made to comply with specifications and standards, which helps ensure that the manufactured soles comply with the matching shoe size and meet the expected comfort and stability standard.

S220: Match the sole length data with the sole length data to obtain matching data.

It can be understood that according to the sole length and sole length, each sole length data is matched with the closest sole length data. An algorithm or mathematical model can be used to calculate the difference between the two, and the sole length with the smallest difference is selected as the match. data. When matching, considering that there may be certain differences between different styles and shoe types, accurate matching and fault tolerance processing are required. You can set a fault tolerance range. If the sole length data and the sole length data are within a certain range, the match is considered successful. , and then get the matching data.

With this setting, the sole length data is matched with the sole length data, and the matching data is obtained, which can provide data support for the subsequent production of soles that are more suitable for personal foot shapes. This helps to improve the comfort and wearing experience of the shoes and satisfy the user's personality. needs. By accurately matching the length of the soles of the feet and the length of the soles, the discomfort caused by purchasing the wrong size can be reduced, the return rate caused by inappropriate sizes can be reduced, and user satisfaction can be improved.

S230: Adjust the comfort of the sole based on the matching data to obtain the first manufacturing data.

It is understandable that comfort adjustments are made to the soles based on matching data. For example, the length of the sole of the foot should have a certain margin more than the length of the sole to ensure that the foot has enough space in the shoe, such as the comfort adjustment of the length of the sole of the foot and the length of the sole. It should be about sole length = sole length + 1 to 1.5 cm (about 0.4-0.6 inches). Then, based on the matching data, the structure, material and design of the sole are adjusted (design adjustments can be made with the help of CAD software or other auxiliary tools) to obtain the first manufacturing data. For example, the first manufacturing data can be to change the elasticity, cushioning and elasticity of the sole material. Characteristics such as shock resistance and support, or the thickness, hardness, texture, etc. of the material used to make the sole.

With this setting, the comfort of the sole is adjusted based on the matching data to obtain the first manufacturing data, which can make the manufactured sole more in line with the user's foot characteristics and needs, provide better wearing experience and comfort, and meet the user's personality. need. Through comfort adjustment, the discomfort and fatigue of the soles on the feet can be reduced. According to the matching data, adjusting the cushioning, support and stability of the sole can effectively reduce the pressure and burden on the foot and provide better support and protection.

S300: Obtain second manufacturing data based on step length data and step frequency data.

It can be understood that, for example, the wear resistance and elasticity requirements of the sole in the second manufacturing data can be determined based on the stride frequency data. (For example, the higher the stride frequency, the manufacturing of the sole needs to add better wear resistance and resilience materials) Based on the step length data, the sole length and comfort requirements in the second manufacturing data can be determined. (People with longer strides will need longer soles to ensure adequate support and comfort for their feet, and additional support and cushioning materials can be considered in the manufacturing of the soles)

In this way, the second manufacturing data is obtained based on the step length data and the step frequency data, and people's needs for soles in different walking situations can be understood. For example, when people run fast, they need better shock absorption and wear resistance, while when people jog or walk, they need more comfort and flexibility. Therefore, the second manufacturing data provides data support for subsequent sole manufacturing to meet people's different needs for soles.

In a possible implementation, please refer to Figure 5, S300, according to the step length data and the step frequency data, the second manufacturing data is obtained, including:

S310: Match the step length data and step frequency data with the preset sole material database to obtain material data.

It is understandable to establish a database containing various sole material properties and characteristics, including hardness, elasticity, wear resistance, grip, etc. Use data analysis tools and algorithms to match and analyze the collected step length data and cadence data with the preset sole material database. By analyzing the step length and cadence data, find out the corresponding gaits and feet. Pressure sole material requirements. (For example, classify walking data to distinguish different gait patterns, such as flat-foot gait, high-arch gait, excessive pronation, etc., and by analyzing the combination of cadence and step length, the characteristics of different gaits can be determined, And establish a corresponding model. Using the gait characteristics analyzed from the cadence data and step length data, the pressure distribution of the foot can be obtained. For example, for a person with a flat-footed gait, the pressure distribution of the sole of the foot when touching the ground will be more uniform, while the high-bow gait may have more pressure concentrated on the heel or forefoot. Based on the analysis results of gait classification and foot pressure, determine the impact of different gait and foot pressure on the sole texture. Demand. For example, for people whose pressure is concentrated on the forefoot, they need a sole pattern design with better forefoot area support and cushioning performance. For people with a flat-foot gait, they need a shoe with more uniform support performance and stability. Sole texture, etc.) Based on the matching results, find a combination of sole materials suitable for a specific stride length and stride frequency to provide the best comfort, support and cushioning effect. Using the selected material combination, sole samples are made for verification and testing. The soles are tested in various aspects such as comfort, wear resistance, and grip to verify whether their performance indicators meet expectations. Based on the test results and verification feedback, the best combination of sole materials is finally determined and the material data is obtained, which will be used as the basis for manufacturing soles.

With this setting, by matching step length data and cadence data with the preset sole material database to obtain material data, personalized sole material data can be provided for each user. Different step length and cadence characteristics may require Different sole materials provide the best cushioning, support and stability, and personalized customized sole material data can provide a better wearing experience and comfort. Step length data and stride frequency data are important factors that affect foot load and pressure distribution. Choosing the appropriate sole material through matching can reduce foot pressure and load and provide better cushioning effect, thereby improving shoe comfort. Spend. For example, in running, appropriate material data can provide good shock absorption and foot support, reducing the risk of sports injuries.

S320: Match the step length data and step frequency data with the preset sole texture database to obtain texture data.

It is understood that, for example, a database containing various sole patterns and properties, including pattern shape, depth, density, grip, etc., can be established. Using data analysis tools and algorithms, the collected stride length and cadence data are matched and analyzed with the preset sole pattern database, and the sole pattern requirements corresponding to different gaits and foot pressures are found by analyzing the stride length and cadence data. (Based on the stride length data and cadence data, the user's gait is classified, which can include identifying the user's foot landing pattern, stride change, pedaling frequency and other characteristics to determine different gait patterns, and analyzing the changes in foot pressure distribution, including the pressure distribution in the heel area, arch area and forefoot area, and finally determining the sole pattern data corresponding to different gaits and foot pressures. For example, for the gait characteristics of heel landing and higher heel area pressure, a friction-resistant sole pattern is required to provide better cushioning and shock absorption performance) According to the matching results, the sole pattern design suitable for the specific stride length and cadence data is determined, and it is matched with the user's walking characteristics to provide the best grip, comfort and stability. Using the selected pattern design, we make sole samples for testing, and conduct tests on the grip performance, wear resistance and other aspects of the sole to verify whether its performance indicators meet expectations. Based on the test results and verification feedback, we finally determine the best sole pattern design and obtain the final pattern data, which will serve as the basis for manufacturing the sole.

With this setting, the step length data and cadence data are matched with the preset sole texture database to obtain the texture data. According to each person's gait characteristics and foot pressure distribution, a sole texture that better suits individual needs can be created. This kind of personalization can provide better comfort and support, reducing the occurrence of foot discomfort and injury. At the same time, the matching of sole patterns can provide better cushioning, shock absorption and stability. Based on the step length and stride frequency data, the appropriate pattern shape, depth and density are designed, which can effectively disperse the impact force generated when walking or running, reduce the pressure on the feet and joints, and improve the comfort of the soles.

S330: Obtain second manufacturing data based on the material data and texture data.

It is understood that, for example, material data can be analyzed, including properties such as elasticity, wear resistance, slip resistance, and ease of processing. Then analyze the texture data of the soles to understand the impact of different textures on grip performance, wear resistance and drainage. In addition, it is necessary to analyze the influence of factors such as the depth, size, and distribution of textures on the sole performance. Comprehensive analysis of the material data and texture data of the sole, combined with the manufacturing process, determines the ease of processing and production, and the applicability to different material and texture combinations, and obtains the second manufacturing data. For example, the second manufacturing data can be Adjust the material ratio of the sole, control the texture depth of the sole and the manufacturing process, etc.

In this setting, the second manufacturing data is obtained based on the material data and texture data, which can help the subsequent manufacturing process of the sole to more accurately control key parameters such as the material ratio and the depth of the texture, thereby improving the manufacturing quality of the sole and ensuring that the sole has Required hardness, elasticity, wear resistance and other performance indicators, and meet the user's individual requirements. At the same time, parameters such as material ratio and texture shape can also be adjusted to create soles that meet user requirements, which helps meet the personalized needs of different users and improves user experience.

In a possible implementation, please refer to Figure 6, S330, the second manufacturing data is obtained according to the material data and texture data, which also includes:

S331: Obtain the foot landing angle of the user during walking.

It can be understood that, for example, the user wears a smart insole and uses its built-in accelerometer, gyroscope, pressure sensor, etc. to monitor and record the angle of the foot's landing in real time. These sensors can capture the movement and changes of the foot, thereby calculating the landing angle. angle. Professional motion capture equipment, such as inertial measurement units or optical tracking systems, can also be used and installed in smart insoles to track foot movements in real time. By analyzing movement data, including joint angles and postures, the landing of the soles of the feet can be obtained angle.

With this setting, by obtaining the foot landing angle of the user during walking, the movement patterns and needs of the user's feet can be better understood, which will help to subsequently produce soles that meet the user's needs and make them more consistent with the user's gait and needs. Foot shape, providing better support and cushioning, thereby improving sole comfort. The landing angle of the sole of the foot can reflect the contact between the user's foot and the ground when walking. By accurately obtaining the landing angle, the texture and material of the sole can be adjusted to provide better anti-slip performance, which helps to increase the friction between the sole and the ground. Reduce the risk of slipping and improve the safety of the soles, for example, by adding support structures in areas where the foot strikes a larger angle to help maintain balance and stability.

S332: Perform sole bending analysis and processing based on the foot landing angle, pressure data, step length data and stride frequency data to obtain sole bending data.

It can be understood that, for example, pressure data can be used to analyze the pressure distribution of the user's foot during walking, determine the area with the greatest pressure and the pressure change pattern, and then analyze the angle of the user's foot landing to understand the relationship between the foot and the ground when walking. contact to determine the bending area and angle of the sole. Then, based on the step length and cadence data, the load cycle of the sole during walking is calculated to determine the frequency and duration of use of the sole. (For example, in walking, the contact time of the sole is relatively long and the body load is relatively small, which will cause the deformation of the sole to be different from that in running. In contrast, when running, the impact force on the foot is smaller If the shoe sole is large, the pressure and bending degree of the sole will increase accordingly) Combined with the foot landing angle, pressure distribution, step length data and stride frequency data, the bending analysis and processing of the sole is performed to determine the stress and bending characteristics of the sole, and then obtain the sole Curved data. (For example, select two points that are far apart in the transverse direction of the sole, such as one at the forefoot of the left foot and the other at the heel of the left foot, and measure the displacement difference of these two points in the longitudinal direction, For example, by using a displacement sensor or a contact measuring instrument, etc., the bending angle is calculated based on the distance and displacement difference between the two points. For example, the geometric transformation method can be used to calculate. For complex-shaped soles, it is necessary Select more points for displacement measurement, and then calculate the overall bending angle of the sole based on the displacement difference of these points)

With this setting, sole bending analysis and processing are performed based on the foot landing angle, pressure data, step length data and stride frequency data to obtain the sole bending data, which can ensure that the manufactured sole is more consistent with the natural movement of the foot. By adjusting the sole bending data, It can reduce unnecessary rigidity and provide better softness and flexibility, thus improving the wearer's comfort. Moreover, reasonable sole flexion data can help reduce the impact force during gait, provide more efficient propulsion, and improve the effect of walking or running. The appropriate bending angle can also be customized according to each person's gait characteristics and needs, thereby providing a better wearing experience and effect.

S333, obtain the user's arch data.

It is understandable that, for example, the user can stand on the measuring instrument that comes with the smart sole, completely relax the foot and stand in a natural posture. Use measuring instruments such as foot scanners or foot measurement instruments to measure. These devices will record the user's foot length, width, height and other relevant information, and generate arch data. Arch data may include the user's arch type, such as flat feet, normal feet, or high arched feet, and corresponding characteristics, such as arch height, arch width, arch curve, etc.

In this setting, by obtaining the user's arch data, the soles can be customized according to each person's arch characteristics to provide better fit and comfort. Different arch types require different support and cushioning, and personalized customized soles Designed to meet the user's specific needs, reducing discomfort and foot problems. The arch of the foot is an important supporting structure of the foot. People with different arch types require different levels of support. Through arch data analysis, the curvature and hardness of the sole in the arch area can be determined to provide precise support and help maintain the foot. normal function and reduce stress and fatigue.

S334: Obtain the second manufacturing data based on the material data, texture data, sole bending data and foot arch data.

It can be understood that, for example, first, the characteristics of the sole material can be analyzed, and based on the hardness, softness, elasticity and other characteristics of the material, a material suitable for the user's arch type and activity needs can be determined. (For example, a more elastic material will generally cause the sole to bend more easily, while a stiffer material will cause the sole to bend less. When considering the bend angle of the sole, take the elasticity and stiffness of the material into consideration , on the one hand, materials with better elasticity can make the soles more flexible, adapt to different ground conditions and walking/running styles, and can also reduce the impact on the feet. On the other hand, appropriate stiffness can provide support and Stability to avoid discomfort and injury caused by excessive bending) Based on the user's arch data and activity needs, the depth, shape, arrangement and other factors of the texture are analyzed to provide appropriate grip and flexibility. According to the arch characteristics in the user's arch data (according to the concave and convex degree of the arch, the arch can be divided into high arched feet, medium arched feet and flat feet, and then the user's arch type is determined. For example, for high arched feet, you need Materials that provide more support and cushioning (for flat feet, materials that provide better arc and shock absorption may be needed) and activity needs, analyze the flex of the sole in areas such as the forefoot, midfoot and heel to provide appropriate Support and flexibility. According to the user's arch data, the characteristics such as the height, width and curvature of the arch are determined. The support needs of the arch vary from person to person. Based on the arch data analysis, the support structure and buffer area of the sole are designed to provide appropriate support and Comfort. Based on the above analysis results, combined with the design requirements and manufacturing process of the sole, second manufacturing data is generated. The second manufacturing data can include parameters such as the shape, thickness, material selection, texture design, and curvature of the sole.

In this setting, the second manufacturing data is obtained based on the material data, texture data, sole bending data and arch data, which can better adapt to the individual differences of users. Everyone's arch characteristics and needs are different. The second manufacturing data generated based on the data The second manufacturing data can ensure that the soles closely match the user's foot structure, providing better comfort and support. Soles can also be manufactured with textured shapes suitable for different ground environments to provide good grip and stability. At the same time, the second manufacturing data can also enable the subsequently manufactured soles to provide better sole flexibility and arch support, reduce foot pressure, improve comfort, and provide effective shock absorption during walking and sports.

In a possible implementation manner, please refer to Figure 7, S334, the second manufacturing data is obtained based on the material data, texture data, sole bending data and foot arch data, including:

S3341: Obtain the arch height data and arch shape data of the arch data.

It can be understood that, for example, a foot measurement instrument in the user data acquisition device can be used to acquire the height data and shape data of the arch of the foot. These measuring instruments can obtain information about the height and shape of the arch by scanning, measuring and analyzing the shape and structure of the foot. Arch height and shape data can also be obtained through laser scanning or photographic scanning. You can also use a measuring ruler, protractor, etc. to obtain arch height data and arch shape data by directly measuring the foot.

With this setting, the arch height data and arch shape data of the arch data can be obtained to obtain a sole that is more suitable for individual needs. Different arch types require different levels of support and stability. Therefore, subsequent soles manufactured based on arch data can provide better personalized support and reduce foot fatigue and discomfort. Arch height and shape determine the curve characteristics of the sole of the foot. Soles manufactured based on arch data can have the proper flex to better adapt to the shape of the arch and provide a more natural gait and comfort.

S3342: Perform type analysis on the arch height data and sole bending data to obtain stability relationship data. Among them, the stability relationship data includes the first demand data for each type of arch height corresponding to the stability of each shoe sole.

It can be understood that, for example, the arch height data and the sole bending data can be established into a mathematical model to analyze the relationship between them. Statistical methods such as regression analysis and correlation analysis can be used to find out the relationship between the arch height and sole stability. Based on the analysis of the relationship between arch type and sole stability, a stability relationship model is established to determine the first demand data for the stability of each sole corresponding to each type of arch height. These data can include parameters such as sole hardness, curvature, and support points, as well as adjustment methods and techniques related to arch height. For example, the arch of a high-arched foot is more prominent and the sole of the foot is more convex. For a high-arched foot, the sole needs to provide better support and cushioning. This can be achieved by choosing a sole with good curvature to better support the foot. Adapts to the shape of high arched feet. Additionally, the thicker sole and soft materials provide additional cushioning and support. The arch of the mid-foot arch is within the normal range, with no obvious bulges or depressions. For mid-foot arches, the sole design needs to provide moderate support and stability. Choose soles with moderate flexion, as well as moderate sole thickness and hardness. , can provide comfortable support effect. The arch of the foot with low arch or flat foot is relatively flat, and the area of the sole of the foot contacting the ground is larger. For low arched foot, the sole design needs to provide better curvature and shock absorption function to provide additional support. You can choose to have a lower curvature. The sole, as well as soft material and good cushioning properties, can reduce foot pressure and provide better support.

With this setting, by performing type analysis on the arch height data and sole bending data to obtain stability relationship data, the system can more accurately and efficiently manufacture soles that meet the needs of different arch types to meet the needs of users. By performing type analysis on the arch height data and sole bending data, the stability relationship data can be obtained, and the performance of the sole can also be optimized. Since different arch types have different requirements for sole stability, therefore, based on the stability relationship data, a product that meets the requirements of the sole can be manufactured. The required soles can provide better support, cushioning, shock absorption and other properties, and improve the comfort and protective performance of the shoes.

S3343: Perform feature analysis on the arch shape data and sole bending data to obtain support relationship data. Among them, the support relationship data includes second demand data corresponding to each type of shoe sole support for each type of arch shape.

It can be understood that, for example, feature extraction can be performed based on the collected arch shape data and sole bending data. Feature extraction is a process of converting raw data into representative numerical values or feature vectors. For example, arch shape data can be extracted. Curve features, such as arch height, arch length, arch curvature, etc. At the same time, similar curve features can also be extracted from sole bend data, such as sole curvature radius, bending angle, etc. Based on the results of feature extraction, individuals are classified according to the shape of the arch, and the sole support requirements corresponding to different arch shapes are analyzed. Through statistical analysis, machine learning and other methods, the relationship between the shape of the arch and sole support is explored. Find relevant characteristics or patterns. Based on the analysis results of the relationship between arch shape and sole support, it is determined that each type of arch shape corresponds to the second demand data of each sole support. These data can include parameters such as sole hardness, support points, and elasticity, as well as adjustment methods and techniques related to the shape of the arch. For example, for high arches, due to the deeper arch recess, the sole design should have better support and stability to avoid excessive arch drop and foot injury. This can be achieved by increasing the stiffness and thickness of the sole, or by adding additional points of support in the sole. At the same time, the curve of the sole should be moderate to maintain the natural shape of the arch and provide foot comfort. For midfoot arches, the sole of the foot has a moderate amount of depression, and the sole design should provide a balance of support and cushioning to provide a comfortable fit and foot stability. The hardness and softness of the sole should be moderate, which can provide foot support and a certain cushioning effect. For flat feet, the arch of the foot has a shallow depression, and the sole design should focus on cushioning and shock-absorbing properties to reduce stress and fatigue on the foot. This can be achieved by incorporating soft materials or air cushioning into the soles to provide better cushioning. Additionally, flex points can be added into the sole to increase flexibility and comfort.

In this setting, by performing feature analysis on the arch shape data and sole bending data, the support relationship data can be obtained. The correlation and benefits can be evaluated by comparing the data of different types of arch shapes and corresponding sole support, which can help During the subsequent manufacturing process, the impact of various arch shapes on sole support is determined to provide guidance and direction for sole manufacturing and improve sole support to meet user expectations.

S3344: Obtain second manufacturing data based on the material data, texture data, first demand data and second demand data.

It can be understood that, for example, first, the material used is analyzed, including hardness, strength, wear resistance and other characteristics, and based on the first demand data, it is determined whether the material meets the first demand. By analyzing the texture data, you can evaluate the grip, anti-slip, stability and other characteristics of the sole, and determine whether the texture design meets the required support performance based on the first demand and second demand data. Combine the first demand data and the second demand data to comprehensively consider the support performance requirements. For example, based on the characteristics of the arch shape and arch height, determine what kind of support and stability the sole needs to provide. At the same time, based on the texture data analysis results, it is ensured that the soles have the required grip and anti-slip properties. Finally, based on the above analysis, appropriate secondary manufacturing data is formulated, including sole thickness, hardness distribution, texture design, etc. These data can guide the selection of appropriate materials and processes during the manufacturing process.

In this setting, by obtaining the second manufacturing data based on the material data, texture data, first demand data and second demand data, the quality of the sole can be effectively improved, and materials that meet the requirements can be selected and used for subsequent sole manufacturing. The best process to produce sole products that meet user needs. It can also make the soles have better support, cushioning, anti-slip and other properties, which will meet the needs of consumers.

S400: Obtain a shoe sole manufacturing method based on the first manufacturing data and the second manufacturing data.

It can be understood that, for example, the basic material and structure of the sole can be determined based on the first manufacturing data, such as determining what material to use, the thickness of the sole, the shape of the sole, etc. Then, based on the second manufacturing data, the characteristics of the sole are determined. For example, determine the cushioning, wear resistance, support, flexibility, etc. of the sole to adapt to the needs of sports at different speeds. Based on the determined materials and structure, design the mold for the sole (for example, sole design software can be used to simulate and design the sole), and obtain the sole manufacturing method, which can include, for example, sole production materials, sole injection molding, sole calendering, Manufacturing processes such as sole molding and assembly of soles and uppers.

In this setting, the sole manufacturing method is obtained based on the first manufacturing data and the second manufacturing data, which can understand the needs and walking characteristics of different users, thereby designing and manufacturing according to individual differences, manufacturing sole products that are more in line with individual needs, and achieving personalization. custom made. The sole manufacturing method developed through data analysis can be closer to the actual needs of users, thereby designing more ergonomic sole structures and materials, improving user comfort, sole performance and durability, and thus improving the quality of shoes.

In a possible implementation, please refer to Figure 8, S400, based on the first manufacturing data and the second manufacturing data, a shoe sole manufacturing method is obtained, including:

S410: Perform a physical performance simulation test based on the first manufacturing data and the second manufacturing data to obtain test parameters.

It can be understood that, for example, the physical performance indicators that need to be tested, such as the compressibility, wear resistance, bending, etc. of the shoe sole, can be determined based on the first manufacturing data and the second manufacturing data. Then, develop a test plan, including test methods, test equipment, and test environment. According to the test plan, use corresponding test equipment to conduct simulation tests on the soles. During the test process, it is necessary to control the parameters of the test environment, such as temperature, humidity, load, etc. The test data will be recorded in the sole manufacturing equipment, and the test data will be input into the computer software for analysis, and the test results will be obtained and compared with the index requirements. Based on the test results, it can be judged whether the sole meets the design requirements and the manufacturing data can be optimized. Based on the analysis results, test parameters are obtained, such as the elastic modulus, apparent density, stiffness, etc. of the sole.

In this setting, physical performance simulation tests are conducted based on the first manufacturing data and the second manufacturing data, and the test parameters are obtained. Problems that may occur during the use of the soles, such as easy wear and tear, easy deformation, etc., can be optimized based on the test results. data to improve the quality of soles. Through physical performance simulation testing, various physical performance indicators of the sole can be tested, such as toughness, hardness, bending performance, etc. Based on the test results, adjustments can be made accordingly to improve sole performance.

S420: Determine the process parameter data in the sole manufacturing process based on the test parameters. Among them, the process parameter data includes temperature data when manufacturing sole materials.

It can be understood that, for example, the test parameters obtained from the physical performance simulation test, including the elastic modulus, apparent density, stiffness, etc. of the sole, can be analyzed to understand the impact of these parameters on the material properties of the sole, as well as the process parameters in the manufacturing process. The relationship between. Sole materials have different physical and thermal properties. It is necessary to consider the behavior of the material at different temperatures and understand the material's thermal expansion coefficient, softening temperature, melting point and other properties, as well as its deformation and performance at different temperatures. According to the requirements of test parameters and considerations of material characteristics, adjust the process parameters in the manufacturing process, including the temperature data when manufacturing sole materials, and select an appropriate temperature range based on the softening temperature and melting point of the material to ensure that the material can achieve the required Physical performance requirements. Based on the adjusted process parameters, conduct small-scale experimental verification. Under the premise of controlling the temperature conditions, prepare a small batch of shoe sole samples, conduct physical performance tests, and compare with the target test parameters. Based on the test results, the process parameters are further adjusted to achieve the required test parameters. Through multiple test verifications and adjustments, the final process parameter data, including temperature data when manufacturing sole materials, will be determined. These parameters will be used as guidelines in the manufacturing process to ensure that the performance and quality of the soles meet the requirements.

With this setting, the temperature when manufacturing sole materials is a key process parameter, which will directly affect the thermal properties, physical properties and chemical properties of the material. According to the test parameters, the temperature data in the process parameter data during the sole manufacturing process can be determined. Adjust the material's softness, hardness, bending performance, wear resistance and other characteristics to meet product design and performance requirements. Appropriate temperature can ensure uniform heating and sufficient thermoplasticity of sole materials during the manufacturing process, thereby reducing uneven deformation, bubbles, defects and other problems during the manufacturing process to improve the stability of the soles.

S430: Determine process sequence data based on the temperature data. Among them, the process sequence data includes sequential step data in which the low-temperature process is first performed and then the high-temperature process is performed in the sole manufacturing process.

It can be understood that, for example, first of all, the characteristics of the sole material can be understood, including its melting point, softening temperature, thermal expansion coefficient, etc. These characteristics will provide an important basis for determining the order of processes. For each process, analyze its specific temperature requirements and process steps. Determine the appropriate temperature range and temperature gradient according to the goals of the process and the required material changes. Sort all processes according to temperature requirements. For example, the low-temperature process should be carried out before the high-temperature process to make full use of the thermoplasticity and fluidity of the material. When determining the order of processes, the mutual influence between processes also needs to be considered. Some processes may produce by-products or residues, which may affect the effects of subsequent processes. Ensure that the interaction between processes is minimized to avoid unnecessary problems and quality problems. Through multiple test verifications and adjustments, the sequential step data of the processes in the sole manufacturing process are finally determined, including the order of low-temperature processes first and then high-temperature processes. These data will become the criteria in the manufacturing process to ensure that the quality and performance of the soles meet the requirements.

Such a setting, based on the temperature data, determines the process sequence of first low temperature and then high temperature in the process sequence data, so that the sole material can fully exert its fluidity and plasticity during the thermoplastic change process, thereby improving material utilization, which can reduce waste of materials. cut costs. Through the low-temperature stage process, the changes in the shape and size of the material can be controlled, and problems such as shrinkage, deformation, and cracking of the soles can be reduced. At the same time, during processing at the high temperature stage, the material can undergo more uniform and stable thermoplastic changes, thereby achieving better molding effects and quality stability.

S440: Obtain the shoe sole manufacturing method based on the sequential step data.

It can be understood that the sequence relationship of each process is clarified based on the previously determined sequential step data of performing the low-temperature process first and then the high-temperature process. Prepare the corresponding raw materials and processing equipment according to the materials and equipment required for each process. According to the process sequence, the low temperature process is performed first. According to the specific process requirements, parameters such as temperature, time and operating methods are controlled, and the materials are treated at low temperature. Low temperature processes include freezing, cooling, cold pressing, etc. After completing the low-temperature process, proceed to the high-temperature process in sequence. According to the specific process requirements, parameters such as temperature, time and operating methods are controlled, and the materials are treated at high temperature. Possible high temperature processes include thermoplastic, hot pressing, thermoforming, etc. Based on the determined process sequence data and the correlation between processes, the production process of sole manufacturing is obtained, including the specific content, operating methods, required equipment, etc. of each process.

With this setting, the shoe sole manufacturing method can be obtained based on the sequential step data, which can optimize the subsequent manufacturing process, reduce the manufacturing cycle and energy consumption, and improve manufacturing efficiency. Performing low-temperature and high-temperature processes in sequence can better control changes in material shape and size, and reduce problems such as shrinkage, deformation, and cracking of soles. Under the guidance of the process sequence, the fluidity and plasticity of the material can be fully utilized, the material utilization rate can be improved, and waste can be reduced.

In a possible implementation, please refer to Figure 9, S400, based on the first manufacturing data and the second manufacturing data, a shoe sole manufacturing method is obtained, including:

S450: Obtain usage scenario data of shoes.

It can be understood that, for example, smart wearable devices, embedded sensors and other technological means are used to collect shoe usage scenario data, and sensors such as positioning functions, accelerometers and barometers can be used to collect the position, movement trajectory, movement intensity, etc. of the user wearing the shoes. Environmental temperature and humidity and other information.

With this setting, by obtaining the usage scenario data of the shoes, the user's needs for the comfort of the shoes can be understood, thereby optimizing the material, structure and design of the soles, improving the comfort of the soles, and meeting the user's needs. It can also analyze information such as the pressure and wear degree of the sole, thereby optimizing the material and structure of the sole, improving the durability of the sole and extending its service life.

S460: Match the usage scenario data with the preset usage scenario database to obtain third manufacturing data. Among them, the usage scene database includes sports scene information and rainy day scene information. The third manufacturing data includes the first manufacturing information of using rubber to process soles with concave and convex patterns in sports scenes and the second manufacturing information of using shoe soles with drainage grooves and anti-skid patterns in rainy weather scenes.

It can be understood that, for example, relevant data of sports scenes and rainy weather scenes can be collected, such as ground friction coefficient, humidity, temperature and other information. These data can help determine the manufacturing requirements for soles in different scenarios. Establish a usage scene database, integrate the collected sports scene and rainy day scene data, and set up corresponding attributes and characteristics. Match the actual usage scenario data with the preset usage scenario database, and use a certain algorithm or logic to match the specific scenario data, such as determining whether the current usage scenario is a sports scene or a rainy day scene. According to the characteristics of different usage scenarios, find the records most similar to the user usage scenarios and obtain the third manufacturing data. For example, in a sports scene, the first manufacturing information of processing rubber into soles with concave and convex patterns is used, and in the rainy weather scene, the second manufacturing information of shoe soles with drainage grooves and anti-skid patterns is used.

With this setting, by matching usage scenario data and the preset usage scenario database, personalized sole manufacturing solutions can be provided according to different usage scenario requirements. For example, in sports scenes, rubber is used to process soles with concave and convex patterns, which can provide good grip and support; in rainy weather scenes, soles with drainage grooves and anti-skid patterns can be used to enhance anti-skid and drainage properties to improve the performance of the shoes. Meet the needs of users in different usage scenarios.

S470: Obtain a shoe sole manufacturing method based on the first manufacturing data, the second manufacturing data, the first manufacturing information, and the second manufacturing information.

It can be understood that, for example, the first manufacturing data and the first manufacturing information can be analyzed, including rubber processing technology, concave and convex texture design, etc., to understand the specific processes and requirements of rubber processing, as well as the design specifications of the concave and convex texture. Likewise, secondary manufacturing data and secondary manufacturing information are analyzed, including design requirements for drainage grooves and anti-skid patterns, to understand the process and design specifications required for sole manufacturing in rainy weather scenarios. Combine the first manufacturing data and first manufacturing information to formulate a sole manufacturing plan for sports scenarios and determine the specific processing methods, process flows and required materials. Similarly, the second manufacturing data and the second manufacturing information are combined to formulate a sole manufacturing plan for rainy weather scenarios and determine the specific processing methods, process flows and required materials. According to the analysis results, a shoe sole manufacturing method is obtained. For example, the shoe sole manufacturing method may include first preparing corresponding raw materials based on the materials required by the first manufacturing data and the second manufacturing data. Then, according to the first manufacturing information, rubber processing is used to prepare a shoe sole preform with concave and convex patterns. Then, according to the second manufacturing information, special materials are used to prepare rainy sole preforms with drainage grooves and anti-skid patterns. Finally, holes and anti-slip patterns are punched into the shoe sole preform and rainy weather shoe sole preform.

With this arrangement, based on the first manufacturing data, the second manufacturing data, the first manufacturing information, and the second manufacturing information, a shoe sole manufacturing method is obtained, and a shoe sole suitable for sports scenes and rainy weather scenes can be designed and manufactured. This can ensure that the soles are used in different conditions. It has good performance and function in the environment and improves the adaptability of the sole. It can also make the soles have better friction, grip, and drainage performance, etc. This can improve the use experience of the soles in different usage scenarios, reduce the risk of slipping, improve comfort and safety, and make the manufactured soles more durable. Better meet the needs of specific scenarios to meet the individual needs of users.

S500, based on the sole manufacturing method, controls the sole manufacturing device to manufacture soles.

It can be understood that according to the corresponding manufacturing data in the sole manufacturing method, the selected material is loaded into the sole manufacturing device, which includes, for example, placing rubber, polyurethane and other materials into the injection molding machine, controlling the material temperature and mold temperature, and setting the injection molding machine. The working mode, adjusting the mixing ratio and setting the injection time, etc., start the sole manufacturing device, and operate according to the sole manufacturing method, which can include controlling the injection speed and pressure of the injection machine, controlling the temperature of the mold, etc.

With this arrangement, controlling the sole manufacturing device to manufacture soles based on the sole manufacturing method can ensure that the soles meet the user's individual requirements. This includes controlling the hardness, toughness, wear resistance, appearance and size of the soles to ensure that the manufactured soles can meet the individual needs of users. The sole manufacturing device has a high degree of automation and can quickly complete the manufacturing process. By setting appropriate manufacturing parameters and processes, production efficiency can be improved and manufacturing time can be reduced.

It should be understood that the sequence number of each step in the above embodiment does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

Corresponding to the shoe sole manufacturing method described in the above embodiments, embodiments of the present application also provide a shoe sole manufacturing system, and each unit of the system can implement each step of the shoe sole manufacturing method. Figure 10 shows a structural block diagram of the shoe sole manufacturing system provided by the embodiment of the present application. For convenience of explanation, only the parts related to the embodiment of the present application are shown.

Referring to Figure 10, the sole manufacturing system includes:

Acquisition unit, used to obtain user activity data. Among them, the user activity data includes the user's sole length data and the user's step length data and step frequency data during walking.

The first generating unit is used to obtain the first manufacturing data based on the sole length data.

The second generation unit is used to obtain second manufacturing data based on the step length data and the step frequency data.

A processing unit, configured to obtain a shoe sole manufacturing method based on the first manufacturing data and the second manufacturing data.

A control unit is used to control the sole manufacturing device to manufacture soles based on the sole manufacturing method.

It should be noted that the information interaction, execution process, etc. between the above units are based on the same concept as the method embodiments of the present application. For details of their specific functions and technical effects, please refer to the method embodiments section, which will not be discussed here. Again.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional units is used as an example. In practical applications, the above functions can be allocated to different functional units according to needs, that is, The internal structure of the system is divided into different functional units to complete all or part of the functions described above. Each functional unit in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware. , can also be implemented in the form of software functional units. In addition, the specific names of each functional unit are only for the convenience of distinguishing each other and are not used to limit the protection scope of the present application. For the specific working processes of the units in the above system, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be described again here.

An embodiment of the present application also provides a shoe sole manufacturing equipment. FIG. 11 is a schematic structural diagram of a sole manufacturing device of the shoe sole manufacturing equipment provided by an embodiment of the present application. As shown in Figure 11, the sole manufacturing equipment of this embodiment includes a user data acquisition device and a sole manufacturing device 6 electrically connected to the user data acquisition device. The sole manufacturing device 6 includes: at least one processor 60 (in Figure 11 Only one is shown), at least one memory 61 (only one is shown in FIG. 11 ), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60 , which 60 When the computer program 62 is executed, the shoe sole manufacturing device 6 is caused to implement the steps in any of the above shoe sole manufacturing method embodiments, or the shoe sole manufacturing device 6 is made to realize the functions of each unit in the above device embodiments.

Exemplarily, the computer program 62 may be divided into one or more units, and the one or more units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more units may be a series of computer program instruction segments capable of completing specific functions. The instruction segments are used to describe the execution process of the computer program 62 in the shoe sole manufacturing device 6 .

The sole manufacturing equipment can be 3D printing sole manufacturing equipment, injection molding sole manufacturing equipment, etc. The sole manufacturing equipment may include a user data acquisition device and a shoe sole manufacturing device 6. The user data acquisition device is electrically connected to the shoe sole manufacturing device 6. Those skilled in the art can understand that Figure 11 is only an example of a shoe sole manufacturing device, and does not constitute a limitation to the shoe sole manufacturing device. It may include more or fewer components than shown in the figure, or combine certain components, or different components. , for example, it may also include input and output devices, network access devices, buses, etc.

The processor 60 may be a central processing unit (Central Processing Unit, CPU). The processor 60 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit). , ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

The memory 61 may be an internal storage unit of the sole manufacturing device 6 in some embodiments, such as a hard disk or memory of the sole manufacturing device 6 . In other embodiments, the memory 61 may also be an external storage device of the sole manufacturing device 6 , such as a plug-in hard drive, a smart media card (SMC), a secure device equipped on the sole manufacturing device 6 . Digital (Secure Digital, SD) card, Flash Card, etc. Further, the memory 61 may also include both an internal storage unit of the sole manufacturing device 6 and an external storage device. The memory 61 is used to store operating systems, application programs, boot loaders, data and other programs, such as program codes of the computer programs. The memory 61 can also be used to temporarily store data that has been output or is to be output.

The embodiment of the present application also provides a shoe sole, which is produced by the above-mentioned shoe sole manufacturing equipment.

An embodiment of the present application also provides a shoe, which includes a sole produced by the above sole manufacturing equipment.

Embodiments of the present application also provide a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

The embodiment of the present application provides a computer program product. When the computer program product is run on the shoe sole manufacturing equipment, the shoe sole manufacturing equipment implements the steps in any of the above method embodiments.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, this application can implement all or part of the processes in the methods of the above embodiments by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. The computer program When executed by a processor, the steps of each of the above method embodiments may be implemented. Wherein, the computer program includes computer program code, which may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device capable of carrying computer program code to the camera device/terminal device, recording media, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electrical carrier signals, telecommunications signals, and software distribution media. For example, U disk, mobile hard disk, magnetic disk or CD, etc. In some jurisdictions, subject to legislation and patent practice, computer-readable media may not be electrical carrier signals and telecommunications signals.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not detailed or documented in a certain embodiment, please refer to the relevant descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed systems/devices and methods can be implemented in other ways. For example, the system/device embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or units. Components may be combined or may be integrated into another system, or some features may be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The above-described embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still implement the above-mentioned implementations. The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions in the embodiments of this application, and should be included in within the protection scope of this application.

Claims (10)

1. A method of manufacturing a sole, the method comprising:

acquiring user activity data; the user activity data comprise sole length data of a user, step length data and step frequency data of the user in a walking process;

Obtaining first manufacturing data according to the sole length data;

obtaining second manufacturing data according to the step length data and the step frequency data;

obtaining a sole manufacturing method based on the first manufacturing data and the second manufacturing data;

based on the sole manufacturing method, a sole manufacturing device is controlled to manufacture the sole.

2. The method of manufacturing a shoe sole of claim 1, wherein said acquiring user activity data comprises:

acquiring sole length data and weight data of a user;

simulating pressure data of the sole in the walking process of the user based on the sole length data and the weight data;

and performing pressure analysis on the pressure data to obtain the step length data and the step frequency data.

3. The method of manufacturing a shoe sole according to claim 2, wherein said performing pressure analysis on said pressure data to obtain said step size data and said step frequency data comprises:

simulating to obtain a pressure image according to the pressure data;

according to the pressure image, first pressure point data and second pressure point data are obtained; the first pressure point data comprise first peak data of the highest pressure point when the left sole is grounded for the first time; the second pressure point data comprise second peak data of the highest pressure point when the left sole is grounded for the second time;

Performing peak time difference processing according to the first peak data and the second peak data to obtain the step frequency data;

acquiring walking speed data of a user;

and obtaining the step data according to the step frequency data and the walking speed data.

4. A method of manufacturing a sole according to claim 3, wherein said obtaining first manufacturing data based on said sole length data comprises:

acquiring sole length data in a sole size database;

matching the sole length data with the sole length data to obtain matching data;

and performing comfort adjustment on the sole based on the matching data to obtain first manufacturing data.

5. The method of manufacturing a shoe sole according to claim 4, wherein said obtaining second manufacturing data based on said step size data and said step frequency data includes:

matching the step length data and the step frequency data with a preset sole material database to obtain material data;

matching the step length data and the step frequency data with a preset sole texture database to obtain texture data;

and obtaining the second manufacturing data according to the material data and the texture data.

6. The method of manufacturing a shoe sole according to claim 5, wherein said obtaining said second manufacturing data based on said material data and said texture data, further comprises:

acquiring a sole landing angle in the walking process of a user;

performing sole bending analysis processing according to the sole grounding angle, the pressure data, the step length data and the step frequency data to obtain sole bending data;

acquiring arch data of a user;

and obtaining the second manufacturing data according to the material data, the texture data, the sole bending data and the arch data.

7. The method of manufacturing a shoe sole according to claim 6, wherein said obtaining said second manufacturing data based on said material data, said texture data, said sole bending data, and said arch data comprises:

acquiring arch height data and arch shape data of the arch data;

performing type analysis on the arch height data and the sole bending data to obtain stability relation data; wherein the stability relationship data includes first demand data for arch height of each type corresponding to stability of each sole;

Performing feature analysis on the arch shape data and the sole bending data to obtain supporting relationship data; wherein the supportive relationship data comprises second requirement data for each type of arch shape corresponding to each sole supportive;

and obtaining the second manufacturing data according to the material data, the texture data, the first demand data and the second demand data.

8. A sole manufacturing apparatus comprising user data acquisition means and sole manufacturing means, the user data acquisition means being electrically connected to the sole manufacturing means, the sole manufacturing means comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 7 when executing the computer program.

9. A sole produced by the sole producing apparatus according to claim 8.

10. A shoe comprising the sole of claim 9.