Correcting insole intelligent management system for flatfoot treatment

Abstract

The invention provides an intelligent management system of an orthotic insole for treating flatfoot, which comprises a foot acquisition module for static 3D (three-dimensional) scanning and dynamic testing to obtain a foot model and data; the customized printing module is used for carrying out parameter adjustment and stress analysis by utilizing CAD / CAE, then carrying out partition design of an insole framework, and carrying out 3D printing to obtain a personalized insole; the hardware integration module is used for deploying various sensors and microelectronic elements in the orthotic insole to obtain dynamic data; the data analysis module is used for analyzing and calculating foot dynamic data and carrying out visual operation; the correction suggestion module is used for constructing an identification model, monitoring foot abnormity and generating a correction suggestion; and the health management module is used for regularly storing data, generating personal health archives and feeding back the personal health archives to corresponding doctors. On the basis of ensuring the comfort and durability of the foot, personalized design of a patient and intelligent monitoring and effective feedback in the correction process can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of foot deformity treatment, and particularly to an intelligent management system for corrective insoles for flat foot treatment. Background Art

[0002] A flat foot corrective insole is an insole specifically designed to correct or relieve the symptoms of flat feet. Flat feet refer to the collapse or absence of the arch of the foot, resulting in the sole of the foot contacting the ground completely or almost completely, which may cause foot pain, abnormal gait, knee and lumbar problems. The corrective insole helps relieve the discomfort caused by flat feet and corrects the foot structure to a certain extent by providing arch support, adjusting the force distribution of the foot, and improving gait.

[0003] Currently, corrective insoles are the main method for non-surgical correction of flat feet, but the existing corrective insoles still have the following defects: 1) Insufficient versatility. Most of the existing insoles are standardized designs and cannot fully adapt to the foot shapes and flat foot degrees of different patients, unable to provide sufficient arch support, and may even cause new discomfort or pain; 2) Lack of monitoring and feedback. The existing insoles cannot monitor the foot pressure distribution or corrective effect. It is difficult for patients and doctors to master their own foot conditions and gait problems, lacking data support and delaying the corrective progress. Summary of the Invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide an intelligent management system for corrective insoles for flat foot treatment, which realizes the personalized design of patients, intelligent monitoring and effective feedback during the corrective process on the basis of ensuring foot comfort and durability, and effectively promotes the intelligent development of flat foot correction technology.

[0005] To achieve the above purpose, the present invention provides the following solution: An intelligent management system for corrective insoles for flat foot treatment, comprising:

[0006] A foot acquisition module, used to perform static 3D scanning and dynamic testing on the user's foot to obtain a foot model and foot data;

[0007] A customization and printing module, used to adjust the corrective parameters of the insole based on the foot model and the foot data, predict the force and deformation of the insole using CAE to obtain an insole architecture, perform zoning design according to the insole architecture to obtain a corrective insole structure model, and then perform 3D printing according to the insole structure model to obtain a personalized insole;

[0008] A hardware integration module, used to deploy a variety of sensors and microelectronic components in the corrective insole to obtain real-time foot dynamic data;

[0009] A data analysis module, which is used to analyze and calculate the foot dynamic data and perform visualization operations on the analysis results;

[0010] A correction suggestion module, which is used to collect normal foot-related data and flat-foot-related data, construct and train a model to obtain an identification model, use the identification model to monitor the foot dynamic data in real time, and generate dynamic correction suggestions according to the monitoring results;

[0011] A health management module, which is used to regularly upload the user's foot-related data and correction progress to the cloud database, generate a personal health record, and then feedback the personal health record to the corresponding doctor in real time for adjustment of the treatment plan;

[0012] Among them, the foot acquisition module, the customized printing module, the hardware integration module, the data analysis module, the correction suggestion module and the health management module are connected to each other.

[0013] Optionally, the foot acquisition module includes:

[0014] A 3D scanning unit, which is used to collect three-dimensional models of the sole, arch and dorsum of the foot by using a 3D scanning device and obtain key foot parameters; the key foot parameters include arch height, sole contour and heel tilt angle;

[0015] A foot pressure test unit, which is used to collect the sole pressure distribution during walking or running by using a dynamic foot pressure tester to obtain dynamic foot pressure data;

[0016] A gait analysis unit, which is used to collect the user's gait trajectory by using a gait analyzer, and analyze the deformation and force of the arch during movement in combination with the gait trajectory and the dynamic foot pressure data;

[0017] A data integration unit, which is used to combine the three-dimensional model data, dynamic foot pressure data and gait trajectory to obtain foot data and an initial evaluation report.

[0018] Optionally, the customized printing module includes:

[0019] A model import unit, which is used to import the foot model into CAD and mark the high-pressure area and the pressure uneven area according to the dynamic foot pressure data;

[0020] A parameter adjustment unit, which is used to adjust the corresponding correction parameters of the insole according to the arch height and the heel tilt angle, perform mechanical simulation of the correction insole under different gaits by using CAE, and optimize the insole parameters according to the simulation results to obtain the insole structure;

[0021] A region division unit for dividing the insole architecture into a heel region, an arch region, and a forefoot region, and designing the hardness, thickness, and material properties respectively according to different regions to obtain a corrective insole structure model;

[0022] A printing unit for printing the corrective insole structure model using 3D printing technology to obtain a personalized insole.

[0023] Optionally, the hardware integration module includes:

[0024] A pressure monitoring unit for evenly deploying 2 - 3 flexible film pressure sensors in the heel region, 3 - 4 flexible film pressure sensors in the arch region, and 4 - 5 flexible film pressure sensors in the forefoot region to monitor foot pressure data;

[0025] A motion monitoring unit for deploying a MEMS acceleration sensor and a MEMS gyroscope sensor near the arch region to monitor foot motion and posture change data;

[0026] An integrated control unit for integrating a battery, an embedded MCU, sensors, and circuits on a flexible circuit board, encapsulating them, and applying a waterproof coating on the outer surface of the encapsulated flexible circuit board.

[0027] Optionally, the data analysis module includes:

[0028] A standardization unit for standardizing the format of the data monitored by the sensors, unifying the time series of plantar pressure distribution, gait cycle, arch height change, and foot posture change to obtain foot analysis data;

[0029] A visualization unit for calculating plantar pressure, gait symmetry, and arch collapse rate using the foot analysis data, and generating a plantar pressure heat map, a gait curve, and an arch change map;

[0030] A sharing unit for generating a health report based on the foot analysis data, the plantar pressure heat map, the gait curve, and the arch change map, and sending the health report to the corresponding doctor.

[0031] Optionally, the calculation formula for plantar pressure is:

[0032]

[0033] where P i (t) is the pressure value of the i - th sensor at time t, P min and P max are respectively the minimum and maximum values of plantar pressure;

[0034] The calculation formula for gait symmetry is:

[0035]

[0036] Among them, T stance,left and T stance,right are the support phase times of the left foot and the right foot respectively;

[0037] The calculation formula for the arch collapse rate is:

[0038]

[0039] Among them, H arch,static is the static arch height, and H arch (t) is the height of the arch at time t.

[0040] Optionally, the correction suggestion module includes:

[0041] A model construction unit, which is used to collect normal foot-related data and flat foot-related data, obtain diversified data, perform abnormal feature annotation and classification on the diversified data, then select a convolutional neural network and LSTM for model training, and introduce historical flat foot correction experience during the training process to obtain an identification model;

[0042] A correction suggestion unit, which uses the identification model to monitor the real-time data of the sensor in real time. When an abnormal gait is detected, it sends a reminder through the mobile terminal, and regularly sorts out the degree of arch collapse and the type of gait abnormality of the user to generate a customized training plan.

[0043] Optionally, the health management module includes:

[0044] A storage and analysis unit, which is used to regularly upload the initial evaluation report and the health report to the cloud database, and regularly generate a correction progress analysis report;

[0045] A medical support unit, which sends the customized training plan to the corresponding doctor in real time for adjustment to obtain a final correction plan.

[0046] By providing an intelligent management system for corrective insoles for flat foot treatment, the present invention discloses the following technical effects:

[0047] High degree of personalization: 1) Through static 3D scanning, dynamic plantar pressure testing and gait analysis, the present invention can comprehensively and accurately capture the static and dynamic foot data of users, providing support for the subsequent 3D printing process; 2) By using the design of CAD / CAE, it can simulate and optimize the insole structure to ensure the balance between the support effect and comfort; 3) By dividing the insole into regions and designing different hardness and elasticity for different foot regions, the correction effect is improved.

[0048] Comprehensive Foot Monitoring: Through the integration of multiple sensors, it can monitor foot pressure and overall movement changes (such as posture, acceleration). By using flexible circuit boards and waterproof coatings, the durability of the insole in complex environments is ensured while maintaining comfortable wearing.

[0049] Intelligent Feedback: 1) By building an identification model, it can real-time feedback abnormal gaits (such as varus / valgus), arch collapse, etc. detected to the user's mobile device for reminder; 2) By combining real-time visualization data with historical periodic trend analysis data, it can help users and doctors comprehensively understand the correction progress and health status, more accurately evaluate the correction effect, so as to better carry out doctor-patient communication and the formulation of correction plans.

[0050] The technical solutions of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0052] Figure 1 It is a schematic diagram of the system architecture provided by the embodiment of the present invention;

[0053] Figure 2 It is a schematic diagram of the insole customization process provided by the embodiment of the present invention;

[0054] Figure 3 It is a schematic diagram of the monitoring feedback process provided by the embodiment of the present invention. Detailed Embodiments

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] Such as Figure 1As shown in the figure, the present invention provides an intelligent management system for orthotic insoles for flat foot treatment, including a foot acquisition module, a customized printing module, a hardware integration module, a data analysis module, a correction suggestion module, and a health management module that are interconnected.

[0058] 1. Foot Acquisition Module

[0059] As Figure 2 shown, it is used to perform static 3D scanning and dynamic testing on the user's foot to obtain a foot model and foot data. The foot acquisition module includes:

[0060] 1.1 3D Scanning Unit

[0061] It is used to collect three-dimensional models of the sole, arch, and dorsum of the foot using a 3D scanning device and obtain key foot parameters; the key foot parameters include arch height, sole contour, and heel tilt angle.

[0062] The 3D scanning device is, for example: 1) Optical 3D scanner: Use a laser or structured light 3D scanner to collect the surface contour and geometric data of the foot. The scanner should have high precision (at the 0.1mm level) to ensure accurate capture of arch and sole details. 2) Portable scanning device: Use a portable handheld 3D scanner (such as an infrared or structured light-based device), which is suitable for clinic or hospital scenarios and is easy to operate. For home users, the 3D scanning function of a smartphone (such as LiDAR technology) can be combined to achieve preliminary data collection.

[0063] 1.2 Foot Pressure Testing Unit

[0064] It is used to collect the plantar pressure distribution during walking or running using a dynamic plantar pressure tester to obtain dynamic plantar pressure data. The dynamic plantar pressure tester is a device used to measure and analyze plantar pressure, mainly used to evaluate foot health, gait characteristics, and provide assistance for posture correction and rehabilitation intervention. It is based on biomechanical principles and can real-time monitor and analyze the pressure distribution and gait characteristics on the sole of the foot when a person is walking or exercising.

[0065] 1.3 Gait Analysis Unit

[0066] It is used to collect the user's gait trajectory using a gait analyzer and analyze the deformation and force of the arch during movement in combination with the gait trajectory and the dynamic plantar pressure data. Among them, the gait analyzer is a device used to measure and evaluate human gait. By collecting data on walking movements and body postures, it helps doctors and researchers understand an individual's health status and mobility. The gait analyzer is designed based on modern sensor technology and data processing algorithms and usually consists of multiple sensors, including accelerometers, gyroscopes, and pressure sensors, etc. These sensors can real-time measure the body's movement and force and transmit the data to a computer or mobile device for analysis and processing.

[0067] 1.4 Data integration unit

[0068] It is used to combine 3D model data, dynamic plantar pressure data and gait trajectory to obtain foot data and an initial evaluation report. The content of the initial evaluation report includes: degree of arch collapse, abnormal pressure distribution area, gait deviation, heel tilt angle, etc.

[0069] 2. Customized printing module

[0070] Such as Figure 2 As shown, it is used to adjust the orthotic insole correction parameters using CAD based on the foot model and the foot data, predict the force and deformation of the orthotic insole using CAE, obtain the insole architecture, perform zoning design according to the insole architecture to obtain a corrected insole structure model, and then perform 3D printing according to the insole structure model to obtain a personalized insole. The customized printing module includes:

[0071] 2.1 Model import unit

[0072] It is used to import the foot model (STL / OBJ file) into CAD software and mark the high-pressure area and uneven pressure area according to the dynamic plantar pressure data.

[0073] 2.2 Parameter adjustment unit

[0074] According to the arch height (degree of arch collapse), adjust the height and curvature of the arch support area in the insole; for severe flat feet, increase the hardness and height of the arch support; for mild flat feet, design a softer support structure. According to the heel tilt angle (varus or valgus), adjust the inclination of the heel area of the insole to ensure the normal force line.

[0075] And use CAE software (such as ANSYS) to perform mechanical simulations of the orthotic insole under different gaits, predict the force and deformation of the orthotic insole under different gaits, and optimize the insole parameters according to the simulation results to obtain the insole architecture.

[0076] 2.3 Area division unit

[0077] It is used to divide the insole architecture into a heel area (providing stability and tilt correction), an arch area (providing arch support to prevent further arch collapse), and a forefoot area (providing buffering and shock absorption functions), and design the hardness, thickness and material properties respectively according to different areas to obtain a corrected insole structure model.

[0078] 2.4 Printing unit

[0079] It is used to print the corrected insole structure model using 3D printing technology to obtain a personalized insole.

[0080] 3. Hardware integration module

[0081] As Figure 3 shown, it is used to deploy a variety of sensors and microelectronic components in the orthotic insole to obtain real-time foot dynamic data. The hardware integration module includes:

[0082] 3.1 Pressure monitoring unit

[0083] It is used to evenly deploy 2-3 flexible film pressure sensors in the heel area, 3-4 flexible film pressure sensors in the arch area, and 4-5 flexible film pressure sensors in the forefoot area to monitor foot pressure data. Among them, the flexible film pressure sensor is a flexible electronic device that can output a response electrical signal under external stimuli such as bending, twisting, and stretching, and has high reliability and integration. It is usually composed of a polyester film, a highly conductive material, and a nanoscale pressure-sensitive material. The top layer is a flexible film and a pressure-sensitive layer compounded on it, and the bottom layer is a flexible film and a conductive circuit compounded on it.

[0084] 3.2 Motion monitoring unit

[0085] It is used to deploy a MEMS acceleration sensor and a MEMS gyroscope sensor near the arch area to monitor foot motion and posture change data. Among them, the MEMS acceleration sensor refers to an acceleration sensor manufactured using micro-electro-mechanical systems (MEMS) technology. This sensor integrates a mechanical system and an electronic circuit in an extremely small size through microelectronic and micromachining technologies to achieve intelligent detection and analysis of vibration signals. The MEMS gyroscope sensor is also an application of MEMS technology. It is a micro sensor manufactured using microelectronic technology and microfabrication technology. The MEMS gyroscope measures the angular velocity through the Coriolis force, and its working principle is that the direction pointed by the rotation axis during rotation will not be affected by external forces and can reach hundreds of thousands of revolutions per minute.

[0086] 3.3 Integrated control unit

[0087] It is used to integrate a battery, an embedded MCU, sensors, and circuits on a flexible circuit board, perform encapsulation, and apply a waterproof coating (such as a Parylene coating) on the outer surface of the encapsulated flexible circuit board.

[0088] A flexible printed circuit (FPC) is a printed circuit board using a flexible insulating material as a substrate and has high reliability and excellent flexibility. It is usually made of polyimide (PI) or polyester (PET) film, and these materials endow the FPC with the characteristics of being thin, bendable, and light in weight, and can adapt to the bending deformation of the insole without affecting the comfort of the insole.

[0089] 4. Data Analysis Module

[0090] As Figure 3 shown, it is used to analyze and calculate the dynamic data of the foot and visualize the analysis results. The data analysis module includes:

[0091] 4.1 Standardization Unit

[0092] It is used to standardize the data monitored by the sensor, unify the time series of plantar pressure distribution (pressure value, position coordinates), gait cycle (swing phase, stance phase time), arch height change (calculated through pressure distribution), and foot posture (varus / valgus angle) change, and obtain foot analysis data.

[0093] 4.2 Visualization Unit

[0094] It is used to calculate plantar pressure, gait symmetry, and arch collapse rate using the foot analysis data, and generate a plantar pressure heat map (showing the plantar force distribution), a gait curve (showing the change trend of plantar pressure during the gait cycle, such as the pressure peak in the stance phase and the pressure decrease in the swing phase), and an arch change map (showing the dynamic arch deformation).

[0095] 1) The calculation formula for plantar pressure is:

[0096]

[0097] where P i (t) is the pressure value of the i-th sensor at time t, P min and P max are the minimum and maximum values of plantar pressure respectively;

[0098] 2) The calculation formula for gait symmetry is:

[0099]

[0100] where T stance,left and T stance,right are the stance phase times of the left and right feet respectively;

[0101] 3) The calculation formula for arch collapse rate is:

[0102]

[0103] where H arch,static is the static arch height, and H arch (t) is the height of the arch at time t.

[0104] 4.3 Sharing Unit

[0105] It is used to generate a health report based on the foot analysis data, the plantar pressure heat map, the gait curve, and the arch change map, and send the health report to the corresponding doctor.

[0106] 5. Correction Suggestion Module

[0107] Such as Figure 3 As shown, it is used to collect normal foot-related data and flat foot-related data, construct and train a model to obtain an identification model, use the identification model to monitor the foot dynamic data in real time, and generate dynamic correction suggestions according to the monitoring results. The correction suggestion module includes:

[0108] 5.1 Model Construction Unit

[0109] It is used to collect normal foot-related data and flat foot-related data to obtain diversified data covering various motion modes (walking, running, standing). The data includes plantar pressure distribution, gait cycle, arch height change, insole usage duration, etc.

[0110] Label and classify the abnormal features (such as abnormal gait, degree of arch collapse, signs of fatigue, etc.) of the diversified data, and then select a convolutional neural network (to process the plantar pressure heat map and identify abnormal gait) and LSTM (to analyze the gait cycle and arch change trend) for model training. During the training process, introduce historical flat foot correction experience through transfer learning to obtain an identification model.

[0111] 5.2 Correction Suggestion Unit

[0112] Use the identification model to monitor the real-time data of the sensor in real time. When an abnormal gait is detected, give a reminder through the mobile terminal, and regularly sort out the degree of arch collapse and the type of gait abnormality of the user to generate a customized training plan (including foot stretching, strength training, etc.).

[0113] 6. Health Management Module

[0114] Such as Figure 3 As shown, it is used to regularly upload the user's foot-related data and correction progress to the cloud database, generate a personal health record, and then feedback the personal health record to the corresponding doctor in real time for adjustment of the treatment plan. The health management module includes:

[0115] 6.1 Storage and Analysis Unit

[0116] It is used to regularly upload the initial evaluation report and the health report to the cloud database, and regularly generate a correction progress analysis report (including long-term correction effects such as the improvement trend of arch height and the change of gait stability).

[0117] 6.2 Medical Support Unit

[0118] Send the customized training plan to the corresponding doctor in real time for adjustment to obtain the final correction plan.

[0119] Therefore, by providing an intelligent management system for corrective insoles for flatfoot treatment, the present invention realizes the personalized design of patients, intelligent monitoring and effective feedback during the correction process on the basis of ensuring foot comfort and durability, and effectively promotes the intelligent development of flatfoot correction technology.

[0120] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0121] In this article, specific examples are used to elaborate on the principles and implementation manners of the present invention. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. An intelligent management system for corrective insoles for flat foot treatment, characterized in that: include: The foot acquisition module is used to perform static 3D scanning and dynamic testing on the user's feet to obtain foot models and foot data; A customized printing module, which is used to adjust the insole correction parameters by using CAD based on the foot model and the foot data, and to predict the force and deformation of the insole by using CAE to obtain the insole structure, and to perform partition design according to the insole structure to obtain the corrective insole structure model, and then to perform 3D printing according to the insole structure model to obtain a personalized corrective insole; Hardware integration module, used to deploy multiple sensors and microelectronic components in the corrective insole to obtain real-time foot dynamic data; A data analysis module, used for analyzing and calculating the foot dynamic data, and visualizing the analysis results; A correction suggestion module is used to collect normal foot related data and flat foot related data, build and train models, obtain a recognition model, use the recognition model to monitor the foot dynamic data in real time, and generate dynamic correction suggestions based on the monitoring results; The health management module is used to regularly upload the user's foot-related data and correction progress to the cloud database, generate a personal health profile, and then feed back the personal health profile to the corresponding doctor in real time to adjust the treatment plan; Among them, the foot acquisition module, the customized printing module, the hardware integration module, the data analysis module, the correction suggestion module and the health management module are interconnected.

2. The intelligent management system for corrective insoles for flat foot treatment according to claim 1, characterized in that: The foot acquisition module comprises: A 3D scanning unit, used to collect a three-dimensional model of the sole, arch and instep using a 3D scanning device, and obtain key foot parameters; the key foot parameters include arch height, sole contour and heel tilt angle; A foot pressure test unit is used to collect the pressure distribution of the sole of the foot when walking or running using a dynamic foot pressure tester to obtain dynamic foot pressure data; A gait analysis unit, used to collect the user's gait trajectory using a gait analyzer, and analyze the deformation and force of the arch of the foot during movement by combining the gait trajectory and the dynamic foot pressure data; The data integration unit is used to combine the three-dimensional model data, dynamic foot pressure data and gait trajectory to obtain foot data and an initial assessment report.

3. The intelligent management system for corrective insoles for flat foot treatment according to claim 2, characterized in that: The customized printing module includes: A model importing unit, used for importing the foot model into CAD, and marking high-pressure areas and uneven-pressure areas according to the dynamic foot pressure data; A parameter adjustment unit, used to adjust the corresponding correction parameters of the insole according to the arch height and the heel tilt angle, and use CAE to perform mechanical simulation of the corrective insole under different gait states, optimize the insole parameters according to the simulation results, and obtain the insole structure; A region division unit is used to divide the insole structure into a heel region, an arch region and a forefoot region, and to design hardness, thickness and material properties according to different regions to obtain a corrective insole structure model; The printing unit is used to print the corrective insole structure model using 3D printing technology to obtain a personalized insole.

4. The intelligent management system for corrective insoles for flat foot treatment according to claim 3, characterized in that: The hardware integration module includes: A pressure monitoring unit is used to evenly deploy 2-3 flexible film pressure sensors in the heel area, evenly deploy 3-4 flexible film pressure sensors in the arch area, and evenly deploy 4-5 flexible film pressure sensors in the forefoot area to monitor foot pressure data; A motion monitoring unit, configured to deploy a MEMS acceleration sensor and a MEMS gyroscope sensor near the arch area to monitor foot motion and posture change data; The integrated control unit is used to integrate the battery, embedded MCU, sensor and circuit on the flexible circuit board, package it, and apply a waterproof coating on the outer surface of the packaged flexible circuit board.

5. The intelligent management system for corrective insoles for flat foot treatment according to claim 4, characterized in that: The data analysis module includes: A standardization unit is used to standardize the format of the data monitored by the sensor, unify the time series of plantar pressure distribution, gait cycle, arch height change and foot posture change, and obtain foot analysis data; A visualization unit, used to calculate the plantar pressure, gait symmetry and arch collapse rate using the foot analysis data, and generate a plantar pressure heat map, a gait curve and an arch change map; The sharing unit is used to generate a health report based on the foot analysis data, the plantar pressure thermogram, the gait curve and the arch change graph, and send the health report to a corresponding doctor.

6. The intelligent management system for corrective insoles for flat foot treatment according to claim 5, characterized in that: The calculation formula for plantar pressure is: Among them, P i (t) is the pressure value of the i-th sensor at time t, P min and P max are the minimum and maximum values ​​of plantar pressure, respectively; The calculation formula for gait symmetry is: Among them, T stance,left and T stance,right are the stance phase times of the left and right feet, respectively; The calculation formula of arch collapse rate is: Among them, H arch,static is the static arch height, H arch (t) is the height of the arch at time t.

7. The intelligent management system for corrective insoles for flat foot treatment according to claim 6, characterized in that: The correction suggestion module includes: A model building unit is used to collect normal foot related data and flat foot related data to obtain diversified data, annotate and classify the diversified data with abnormal features, select convolutional neural network and LSTM for model training, and introduce historical flat foot correction experience in the training process to obtain a recognition model; The correction suggestion unit uses the recognition model to monitor the real-time data of the sensor in real time. When an abnormal gait is detected, a reminder is given through the mobile terminal. The user's arch collapse degree and gait abnormality type are regularly sorted out to generate a customized training plan.

8. The intelligent management system for corrective insoles for flat foot treatment according to claim 7, characterized in that: The health management module includes: A storage and analysis unit, which is used to regularly upload the initial assessment report and health report to the cloud database and regularly generate correction progress analysis reports; The medical support unit sends the customized training plan to the corresponding doctor in real time for adjustment to obtain a final correction plan.

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