Multi-mode temperature control method and system of magnetic therapy foot bath equipment

Abstract

The invention provides a multi-mode temperature control method and system for magnetic therapy foot bath equipment. The method comprises the following steps: acquiring impedance data of an arch and a sole through a foot sensor, and constructing an edema characteristic spectrum; current of the concentric annular magnetic poles is adjusted according to gradient distribution of the atlas, the flow velocity of the magnetic fluid is controlled through the magnetic field superposition effect, and a magnetothermal coupling gradient field matched with the foot curved surface is formed; the actual field parameters are compared with the target impedance curve, and a double-variable regulation and control instruction containing the magnetic field action radius and the fluid circulation rate is generated in combination with a historical temperature difference threshold value; the frequency of each magnetic pole and the opening degree of the valve are synchronously adjusted, so that the magnetic field intensity and the heat transfer rate of the foot concave area are dynamically matched with impedance distribution, and personalized magnetic-thermal synergistic treatment is completed. According to the technical scheme provided by the invention, the individualized adaptation capability of the edema area magnetocaloric therapy is remarkably improved on the premise of ensuring the treatment safety through multi-mode cooperative temperature regulation and control.

Description

Technical Field

[0001] The present application relates to the technical field of multimodal temperature control, and in particular to a multimodal temperature control method and system for a magnetic therapy foot bath device. Background Art

[0002] Magnetic foot therapy devices for treating foot edema require real-time adjustment of the magnetic thermal coupling intensity based on the degree of edema to ensure treatment safety and effectiveness. Because tissue impedance characteristics in edematous areas differ from those in normal tissue, traditional fixed-parameter thermal magnetic therapy is difficult to precisely adapt to individual needs. Therefore, a multimodal temperature control method is needed that can dynamically adjust the magnetic field intensity and heat exchange rate based on real-time impedance detection.

[0003] Existing solutions use multi-sensor arrays to detect foot impedance distribution and adjust the output power of magnetic therapy devices based on a preset impedance-temperature mapping relationship. Existing solutions use embedded control systems to achieve preliminary coordinated adjustment of magnetic field intensity and heat exchange rate, which can adapt to different users' edema characteristics to a certain extent.

[0004] Although the existing scheme can achieve basic regulation, it does not consider the precise characterization of the edema gradient distribution by the phase difference between adjacent detection units, resulting in insufficient precision in the coordinated control of the magnetic field superposition effect and the heat exchange fluid; at the same time, there is a lack of dynamic constraints on the historical treatment temperature difference threshold, which can easily cause local overheating or uneven heat therapy, affecting the treatment effect and safety. Summary of the Invention

[0005] The present application provides a multi-modal temperature control method and system for a magnetic therapy foot bath device, which is used to solve the problems of low magnetic field coordination accuracy and uneven thermal therapy caused by phase differences and insufficient dynamic temperature control in the prior art.

[0006] In a first aspect, the present application provides a multi-modal temperature control method for a magnetic foot bath device, comprising:

[0007] collecting impedance change data of the arch and sole of the foot through a foot contact sensor, and establishing an edema characteristic map based on the phase difference between adjacent detection units in the impedance change data;

[0008] Based on the gradient distribution of the edema characteristic map, the driving current of multiple concentric annular magnetic poles in the magnetic therapy foot bath device is controlled so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot;

[0009] The actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve are input into a compensation module in the magnetic therapy foot bath device to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate. The constraint condition of the dual-variable control instruction includes a temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution;

[0010] The electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline are synchronously adjusted through the dual-variable control instruction, so that the magnetic flux density in the foot recess area is dynamically matched with the spatial distribution of the fluid heat transfer rate data as the impedance changes.

[0011] Optionally, the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve are input into a dynamic compensation module to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate, including:

[0012] Obtaining the measured values ​​of the magnetic field intensity of each annular control zone in the magnetothermal coupling gradient field and the measured values ​​of the fluid flow rate in the corresponding section in the heat exchange pipeline as actual distribution parameters;

[0013] Calculating the difference between the magnetic field intensity in the actual distribution parameter and the magnetic field intensity reference value preset in the target impedance attenuation curve to generate a compensation coefficient for the magnetic field action radius;

[0014] generating a compensation coefficient for the fluid circulation rate according to a ratio of the measured value of the fluid flow rate to a preset heat exchange rate reference value in the target impedance attenuation curve;

[0015] The compensation coefficient of the magnetic field action radius and the compensation coefficient of the fluid circulation rate are combined with the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution records and the linear constraint conditions to generate a two-variable control instruction. The linear constraint conditions limit the product of the magnetic field action radius compensation coefficient and the fluid circulation rate compensation coefficient to not exceed a preset safety threshold.

[0016] Optionally, the compensation coefficient of the magnetic field radius and the compensation coefficient of the fluid circulation rate are combined with the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record and the linear constraint condition to generate a dual-variable control instruction, including:

[0017] Obtaining the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record, recording it as the maximum difference value, and establishing a linear constraint condition based on the product of the compensation coefficient for the magnetic field radius and the compensation coefficient for the fluid circulation rate not exceeding a preset safety threshold; based on the compensation coefficient for the magnetic field radius and the compensation coefficient for the fluid circulation rate, combined with the maximum difference value, determining initial candidate values ​​for the compensation coefficient for the magnetic field radius and the initial candidate values ​​for the compensation coefficient for the fluid circulation rate, such that the product of the two approaches the preset safety threshold;

[0018] When the initial candidate value satisfies the linear constraint condition, the initial candidate value is directly used as the final compensation coefficient; when the initial candidate value does not satisfy the linear constraint condition, the initial candidate value is iteratively corrected until the linear constraint condition is satisfied, and the corrected magnetic field radius compensation coefficient and fluid circulation rate compensation coefficient are recorded at the same time;

[0019] The corrected magnetic field action radius compensation coefficient and fluid circulation rate compensation coefficient are combined to generate a dual-variable control instruction.

[0020] Optionally, the synchronously adjusting the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline according to the dual-variable control instruction so that the magnetic flux density of the foot recess area dynamically matches the spatial distribution of the fluid heat transfer rate with the impedance change data, includes:

[0021] Analyzing the magnetic field action radius parameter in the dual-variable control instruction and converting it into an electromagnetic frequency adjustment amount for each annular magnetic pole, wherein the electromagnetic frequency adjustment amount is inversely proportional to the square of the magnetic field action radius;

[0022] parsing the fluid circulation rate parameter in the dual-variable control instruction and converting it into an opening adjustment amount of each branch valve of the heat exchange pipeline, wherein the opening adjustment amount is proportional to the logarithm of the fluid circulation rate;

[0023] According to the spatial distribution characteristics of the foot concave area in the impedance change data, a regional weight factor is applied to the electromagnetic frequency adjustment amount of each annular magnetic pole, and the regional weight factor is positively correlated with the impedance change amplitude of the concave area;

[0024] The valve opening adjustment amount is dynamically corrected according to the regional weight factor, so that the proportional coefficient between the fluid heat transfer rate and the magnetic flux density adjustment amount in the same annular action zone remains constant.

[0025] Optionally, collecting impedance change data of the arch and sole of the foot by using a foot contact sensor, and establishing an edema characteristic map according to phase differences between adjacent detection units in the impedance change data, includes:

[0026] Continuously acquiring impedance change data at each detection point through detection units arranged in an array in the foot contact sensor, wherein the impedance change data includes the conduction delay characteristics of the alternating current signal in the foot tissue;

[0027] For the impedance change data between adjacent detection units, the time offset of the signal peak corresponding to the impedance change data is extracted by waveform comparison, and the phase difference value between the adjacent detection units is calculated based on the time offset. The phase difference value is the absolute value of the peak time difference of the same frequency component in the two impedance change data;

[0028] According to the spatial distribution of the phase difference value, the foot is divided into a plurality of continuous regions, and when the phase difference value of adjacent regions exceeds a preset blocking determination threshold, it is marked as an impedance abnormality region;

[0029] The phase difference values ​​of each impedance abnormal area are accumulated along the arc direction of the arch to generate an edema characteristic map based on the plantar surface coordinates. The value of each coordinate point in the edema characteristic map represents the degree of impedance change of the corresponding foot tissue through the cumulative amount of the phase difference value.

[0030] Optionally, the driving current of multiple concentric annular magnetic poles is controlled based on the gradient distribution of the edema characteristic map, so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, forming a magnetothermal coupling gradient field that matches the foot surface, including:

[0031] The radial distribution of the edema characteristic map along the curved surface of the foot is divided into annular control zones having the same number as the concentric annular magnetic poles, wherein the edema gradient direction of each annular control zone is consistent with the direction of the axial magnetic field component of the corresponding magnetic pole;

[0032] Determining a combination of driving current directions of adjacent magnetic poles based on a change trend of the edema gradient of each annular control band, wherein the process of determining the combination of driving current directions of adjacent magnetic poles comprises: when the gradient value of the annular control band increases along the direction of the arch depression, the adjacent magnetic poles use currents in the same direction and establish a positive current proportional relationship; when the gradient value of the annular control band decreases along the direction of the arch depression, the adjacent magnetic poles use currents in opposite directions and establish a reverse current proportional relationship;

[0033] The magnetic field superposition area of ​​adjacent magnetic poles is driven by the combination of current directions, so that the superimposed magnetic flux lines form an inclined distribution pattern consistent with the curvature of the foot surface, and the inclined distribution pattern includes an axial component pointing to the center of the foot depression and a radial component that restricts fluid diffusion;

[0034] Based on the spatial intensity distribution of the axial component in the tilted distribution pattern, the direction of the magnetic field intensity gradient is matched with the anatomical trend of the concave area of ​​the foot surface, and a magnetothermal coupling gradient field is formed in the foot tissue in which the magnetic field intensity changes along the surface gradient.

[0035] Optionally, the spatial intensity distribution of the axial component in the tilted distribution pattern is used to match the direction of the magnetic field intensity gradient with the anatomical orientation of the concave area of ​​the foot surface, and to form a magnetothermal coupling gradient field in the foot tissue in which the magnetic field intensity changes along the surface gradient, including:

[0036] Measuring the spatial intensity distribution corresponding to the axial component and the radial component in the tilt distribution pattern by an optical fiber probe array, and generating a corresponding magnetic field intensity distribution;

[0037] Acquire anatomical direction data of a concave area on a curved surface of a foot, and determine the main extension direction and curvature change characteristics of the concave area;

[0038] Based on the spatial intensity distribution of the axial component, the optimal matching angle of the magnetic field intensity gradient direction is calculated so that the angle between the gradient direction and the main extension direction of the recessed area in three-dimensional space is less than a preset threshold; and according to the curvature variation characteristics, the attenuation rate of the magnetic field intensity along the surface normal is dynamically adjusted, and the magnetic field intensity attenuation rate parameter after the dynamic adjustment is recorded;

[0039] Based on the combined data of the optimal matching angle and the magnetic field intensity attenuation rate parameter, a magnetic field intensity distribution model is established in the foot tissue, so that the magnetic field intensity decreases nonlinearly from the surface layer of the foot to the deep tissue, and the decreasing trend is consistent with the surface gradient change of the concave area;

[0040] Based on the magnetic field intensity distribution model, a magnetothermal coupling gradient field with a gradient change along the foot surface is generated by superimposing the magnetic field intensity distributions of the axial component and the radial component.

[0041] In a second aspect, the present application provides a multi-modal temperature control system for a magnetic therapy foot bath device, comprising:

[0042] Establishing a module for collecting impedance change data of the arch and sole of the foot through a foot contact sensor, and establishing an edema characteristic map based on the phase difference between adjacent detection units in the impedance change data;

[0043] A generation module is configured to control the driving current of multiple concentric annular magnetic poles in a magnetic therapy foot bath device based on the gradient distribution of the edema characteristic map, so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot;

[0044] The generation module is further configured to input the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve into a compensation module in the magnetic therapy foot bath device to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate, wherein the constraint condition of the dual-variable control instruction includes a temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution;

[0045] The regulation module is used to synchronously adjust the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline through the dual-variable control instruction, so that the magnetic flux density in the foot recess area dynamically matches the spatial distribution of the fluid heat transfer rate with the impedance change data.

[0046] In a third aspect, an embodiment of the present application provides a computing device comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multi-modal temperature control method for a magnetic therapy foot bath device as described in the first aspect above.

[0047] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, it implements a multi-modal temperature control method for a magnetic therapy foot bath device as described in the first aspect.

[0048] In an embodiment of the present application, impedance change data of the arch and sole of the foot are collected by a foot contact sensor, and an edema characteristic map is established based on the phase difference between adjacent detection units in the impedance change data; based on the gradient distribution of the edema characteristic map, the driving current of multiple concentric annular magnetic poles in the magnetic therapy foot bath device is controlled so that the magnetic field superposition effect generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline to form a magnetothermal coupling gradient field that matches the foot surface; the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve are input into the compensation module in the magnetic therapy foot bath device to generate a two-variable control instruction including the magnetic field action radius and the fluid circulation rate, and the constraint condition of the two-variable control instruction includes the temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution; the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline are synchronously adjusted by the two-variable control instruction so that the magnetic flux density in the concave area of ​​the foot and the spatial distribution of the fluid heat transfer rate with the impedance change data are dynamically matched.

[0049] This application uses contact sensors to obtain impedance change data of the arch and sole of the foot in real time. Combined with phase difference analysis, it can accurately identify the spatial distribution characteristics of foot edema. The gradient distribution of the edema characteristic map provides a bioelectrophysiological basis for subsequent magnetic field control, solving the problem of ignoring tissue pathological differences in traditional temperature control. The driving current of the concentric annular magnetic poles is dynamically adjusted based on the gradient of the edema map. The axial flow velocity of the magnetic fluid is changed by using the magnetic field superposition effect of adjacent magnetic poles to achieve coordinated regulation of the magnetic field intensity and fluid flow rate, forming a magnetothermal coupling gradient field that is adaptive to the surface morphology of the foot to avoid local overheating or uneven heat conduction. By comparing the actual magnetothermal distribution with the target impedance attenuation curve to reflect the tissue thermal therapy needs, a two-variable control instruction based on the magnetic field action radius and the fluid circulation rate is generated. By introducing the temperature difference threshold of the previous execution as a constraint condition, the current parameters are dynamically corrected to prevent the risk of thermal damage between the epidermis and deep tissues, thereby improving the safety of treatment. The electromagnetic frequency and valve opening are synchronously adjusted according to the dual-variable instructions, so that the magnetic field intensity and heat transfer in the concave area of ​​the foot match the impedance spatial distribution, achieving precise thermal coverage of complex foot geometry, and especially optimizing the magnetic thermal synergy efficiency in low blood flow areas.

[0050] Furthermore, by collecting the measured values ​​of the magnetic field intensity and fluid flow rate of each annular control band in the magnetothermal coupling gradient field in real time, and comparing them with the preset baseline value of the target impedance attenuation curve, the difference in magnetic field intensity is calculated to generate a compensation coefficient for the magnetic field radius. The fluid circulation rate compensation coefficient is generated by the ratio of the flow rate to the baseline value. Combined with the historical temperature difference extremes and the linear constraint condition that limits the product of the compensation coefficients, a two-variable control instruction is dynamically generated. This method realizes closed-loop coordinated compensation control of magnetic field intensity and fluid flow rate. The deviation between the actual parameters and the target is accurately corrected by calculating the difference and ratio. Combined with the historical temperature extreme value constraint, tissue thermal damage is avoided. The linear constraint condition ensures that the magnetothermal coupling effect is always within a safe range. Ultimately, a dynamic balance of personalized magnetothermal therapy is achieved, significantly improving the accuracy and safety of treatment.

[0051] These and other aspects of the present application will become more readily apparent from the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0053] Figure 1 A flow chart showing a multi-modal temperature control method for a magnetic therapy foot bath device provided by the present application is shown;

[0054] Figure 2 A scene diagram showing a multi-modal temperature control method for a magnetic therapy foot bath device provided by the present application is shown;

[0055] Figure 3 A schematic diagram of the structure of a multi-mode temperature control system of a magnetic therapy foot bath device provided by the present application is shown;

[0056] Figure 4 A schematic diagram of the structure of a computing device provided by the present application is shown; DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0058] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this document or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to being different types.

[0059] Research has found that while existing magnetic foot therapy solutions for treating foot edema can achieve basic control of magnetothermal coupling through impedance detection, they suffer from two key drawbacks: phase differences between adjacent detection units lead to inaccurate representation of edema gradients, affecting the synergistic accuracy of magnetic field superposition and heat exchange fluids; Furthermore, the lack of dynamic constraints on the historical treatment temperature difference threshold can easily lead to local overheating or uneven thermal therapy. This contradiction stems from the mechanical response of fixed impedance temperature mapping to dynamic changes in tissue impedance, necessitating a multimodal control method that integrates phase compensation and adaptive temperature difference thresholds.

[0060] In response to the above problems, this application proposes a multimodal temperature control method for magnetic therapy foot bathing equipment, the core of which is to achieve precise magnetothermal adaptation of the foot edema area through dual-variable collaborative control of multi-sensor phase compensation and temperature difference dynamic constraint. Specifically, first, a contact sensor is used to collect foot impedance data, and an edema gradient distribution map is constructed based on the phase difference of adjacent detection units; then, the driving current of the concentric annular magnetic poles is dynamically adjusted based on the map, so that the magnetic field superposition effect and the axial flow velocity of the magnetic fluid change synergistically to form a magnetothermal coupling gradient field that fits the foot surface; finally, the compensation module fuses the real-time field distribution parameters and the historical temperature difference threshold to generate a dual-variable control instruction of the magnetic field action radius-fluid circulation rate, and simultaneously optimizes the electromagnetic frequency and valve opening to ensure that the magnetic flux density and heat transfer rate in the concave area are adaptively matched with the impedance distribution. This method solves the problem of inaccurate edema gradient representation in traditional solutions through phase difference compensation, thereby improving the accuracy of coordinated control of magnetic field and fluid; at the same time, it introduces dynamic constraints of historical temperature differences to effectively avoid local overheating and uneven heat therapy, thereby significantly improving the individualized adaptability of magnetic hyperthermia therapy in edema areas while ensuring treatment safety.

[0061] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0062] Figure 1 A flowchart of a multi-mode temperature control method for a magnetic foot bath device is provided in an embodiment of the present application. Figure 1 As shown, the method includes:

[0063] 101. Collect impedance change data of the arch and sole of the foot using a foot contact sensor, and establish an edema characteristic map based on phase differences between adjacent detection units in the impedance change data;

[0064] Optionally, step 101 may specifically include the following steps:

[0065] 1011. Continuously obtain impedance change data at each detection point through the detection units arranged in an array in the foot contact sensor

[0066] 1012. For impedance change data between adjacent detection units, extract a time offset of a signal peak corresponding to the impedance change data by waveform comparison, and calculate a phase difference value between the adjacent detection units based on the time offset;

[0067] 1013. Divide the foot into a plurality of continuous regions according to the spatial distribution of the phase difference values, and mark adjacent regions as impedance abnormal regions when the phase difference values ​​of adjacent regions exceed a preset blocking determination threshold;

[0068] 1014. Accumulate the phase difference values ​​of each impedance abnormality area along the arc direction to generate an edema characteristic map based on the plantar surface coordinates.

[0069] In the above scheme, the impedance change data refers to a dynamic signal reflecting the electrical characteristics of the foot tissue, including the conduction delay characteristics of the AC signal in the foot tissue, including the conduction amplitude and phase information, which can be used to assess the edema state of the tissue. The phase difference value is the absolute value of the peak time difference of the same frequency component in the two impedance change data, which is used to quantify the local delay of signal conduction. The edema characteristic map is a spatial distribution map based on the plantar surface coordinates. The value of each coordinate point in the edema characteristic map represents the degree of impedance change of the corresponding foot tissue through the cumulative amount of the phase difference value.

[0070] In the present embodiment, first, in step 1011, a foot contact sensor having arrayed detection units continuously collects impedance change data at each detection point at a fixed sampling frequency. Each detection unit outputs an impedance waveform comprising a multi-frequency AC signal, and the signal amplitude and phase information are recorded. For example, a swept frequency signal from 1kHz to 100kHz is used to excite the tissue, and a lock-in amplifier is used to extract the conduction delay characteristics of each frequency component.

[0071] Next, in step 1012, the impedance change data of adjacent detection units are compared in the time domain waveforms. A peak detection algorithm is used to extract the timestamps of the signal peaks, and the absolute value of the time difference between the two signal peaks at the same frequency component is calculated to obtain a phase difference value. For example, if the time difference between the 50Hz component peaks of detection units A and B is 0.1ms, then the phase difference value is 0.1ms, where detection unit A is located on the medial arch of the foot, and detection unit B is an adjacent unit on the medial arch of the foot.

[0072] Next, in step 1013, the spatial distribution of the phase difference values ​​from step 1012 is analyzed. A region growing algorithm is used to segment the foot into continuous regions. If the phase difference values ​​of adjacent regions exceed the block threshold, the region is marked as an impedance abnormality region. For example, the medial arch region, due to edema, has a significantly increased phase difference and is segmented as an independent abnormal region.

[0073] Finally, in step 1014, the phase difference values ​​of the abnormal area are accumulated along the arc of the arch. Using a surface coordinate system, these accumulated values ​​are converted to coordinate values, generating an edema feature map based on the plantar surface coordinates. For example, if the accumulated phase difference value of the abnormal heel area is 0.8ms, the grayscale value of that coordinate point in the corresponding map increases.

[0074] In actual application, when the user uses a magnetic therapy foot bath device to treat foot edema, the built-in foot contact sensor of the device will continuously collect impedance change data of the arch and sole of the foot at a sampling frequency of 1kHz. For example, at an excitation frequency of 50Hz, detection unit A detects the impedance signal of the inner side of the arch, and detection unit B detects the impedance signal of the adjacent unit on the inner side of the arch. When the impedance signal peaks of detection unit A and detection unit B have a time offset of 0.2ms, it exceeds the preset 0.15ms blocking judgment threshold, and the system marks the area as an impedance abnormality area through the regional growing algorithm. Subsequently, the phase difference values ​​of all adjacent units in the abnormal area are accumulated along the arc direction of the arch, and the final generated edema feature map is mapped on the plantar surface model in the form of a grayscale map, where the grayscale value of the coordinate point on the inner side of the arch is increased to 185. The degree of impedance abnormality caused by tissue fluid accumulation in this area is intuitively represented by light and dark changes, providing a quantitative basis for the subsequent adaptive adjustment of magnetic therapy parameters.

[0075] The overall solution of 101 above collects impedance change data of the arch and sole of the foot in real time through the array detection unit of the foot contact sensor, and uses the conduction delay characteristics of the AC signal in the tissue to extract the time offset of the signal peaks of adjacent detection points and calculate the phase difference value; based on the spatial distribution of the phase difference value, the foot is divided into multiple areas, and when the difference between adjacent areas exceeds the block judgment threshold, it is marked as an impedance abnormality area, and finally the phase difference value of the abnormal area is accumulated along the arc direction of the arch to generate an edema characteristic map based on the plantar surface coordinates. The cumulative amount of the coordinate points in the map intuitively reflects the degree of impedance change of the foot tissue, realizing accurate visual positioning and quantitative evaluation of the edema characteristics.

[0076] 102. Based on the gradient distribution of the edema characteristic map, control the driving current of multiple concentric annular magnetic poles in the magnetic therapy foot bath device so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot;

[0077] Optionally, step 102 includes:

[0078] 1021. Divide the radial distribution of the edema characteristic map along the curved surface of the foot into annular control zones equal in number to the concentric annular magnetic poles, wherein the edema gradient direction of each annular control zone is consistent with the direction of the axial magnetic field component of the corresponding magnetic pole;

[0079] 1022. Determine a combination of driving current directions for adjacent magnetic poles based on a trend of edema gradient changes in each annular control band. The process of determining the combination of driving current directions for adjacent magnetic poles includes: when the gradient value of the annular control band increases along the direction of arch depression, the adjacent magnetic poles use currents in the same direction and establish a positive current proportional relationship; when the gradient value of the annular control band decreases along the direction of arch depression, the adjacent magnetic poles use currents in opposite directions and establish a negative current proportional relationship.

[0080] 1023. Driving the overlapping magnetic fields of adjacent magnetic poles by combining the current directions, so that the superimposed magnetic flux lines form an inclined distribution pattern consistent with the curvature of the foot surface, wherein the inclined distribution pattern includes an axial component pointing to the center of the foot depression and a radial component that restricts fluid diffusion;

[0081] 1024. Based on the spatial intensity distribution of the axial component in the tilted distribution pattern, the direction of the magnetic field intensity gradient is matched with the anatomical orientation of the concave area of ​​the foot surface, and a magnetothermal coupling gradient field is formed in the foot tissue in which the magnetic field intensity changes along the gradient of the surface.

[0082] Among them, step 1024 may specifically include the following processes: measuring the spatial intensity distribution corresponding to the axial component and the radial component in the tilted distribution pattern through an optical fiber probe array, and generating a corresponding magnetic field intensity distribution; obtaining anatomical direction data of the concave area on the curved surface of the foot, and determining the main extension direction and curvature change characteristics of the concave area; calculating the optimal matching angle of the magnetic field intensity gradient direction based on the spatial intensity distribution of the axial component, so that the angle between the gradient direction and the main extension direction of the concave area in three-dimensional space is less than a preset threshold; and dynamically adjusting the attenuation rate of the magnetic field intensity along the surface normal according to the curvature change characteristics, and recording the magnetic field intensity attenuation rate parameter after dynamic adjustment; establishing a magnetic field intensity distribution model in the foot tissue based on the combined data of the optimal matching angle and the magnetic field intensity attenuation rate parameter, so that the magnetic field intensity decreases nonlinearly from the surface layer of the foot to the deep tissue, and the decreasing trend is consistent with the surface gradient change of the concave area; based on the magnetic field intensity distribution model, generating a magnetothermal coupling gradient field with a gradient change along the curved surface of the foot by superimposing the magnetic field intensity distributions of the axial component and the radial component.

[0083] In the above scheme, concentric annular magnetic poles refer to electromagnetic coils arranged in concentric circles within the foot bath device, each of which independently controls the direction and magnitude of the current. The magnetothermal coupled gradient field is a non-uniformly distributed field created by the synergistic action of the magnetic and thermal fields. This field intensity gradient drives the flow of the magnetic fluid, thereby regulating heat exchange efficiency. The annular control zone refers to an annular zone on the foot surface, divided based on the spatial position of the magnetic poles and the radial distribution of edema characteristics. The axial magnetic field component refers to the component of the magnetic field along the normal to the foot, which is used to drive the axial flow of the magnetic fluid. The forward current proportional relationship means that when adjacent magnetic poles use the same current, the current magnitude is proportionally distributed according to the gradient value. The reverse current proportional relationship means that when adjacent magnetic poles use opposite currents, the current difference is proportionally adjusted according to the gradient value. The tilted distribution pattern means that the direction of the resultant magnetic field forms a certain angle with the tangent of the foot surface, accelerating the fluid through the axial component and suppressing lateral diffusion through the radial component. The optimal matching angle refers to the angle between the magnetic field gradient direction and the main concavity of the foot, which must be less than a preset threshold. The magnetic field intensity attenuation rate parameter refers to the nonlinear decreasing parameter of the magnetic field intensity along the normal direction of the foot surface, and the nonlinear decreasing parameter is synchronized with the curvature change.

[0084] In this embodiment of the present application, first, in step 1021, the edema characteristic map is divided into a number of annular control zones along the radial distribution of the foot surface. Each control zone corresponds to a concentric annular magnetic pole, and the edema gradient direction in each zone is consistent with the axial magnetic field direction of the corresponding magnetic pole. For example, if the device has four magnetic poles, the foot surface is divided into four annular zones. If the edema gradient direction increases from the heel to the arch, the axial magnetic field direction of the corresponding magnetic pole is upward.

[0085] Secondly, based on the edema gradient change trend of each annular control zone in step 1021, the system determines the combination of driving current directions of adjacent magnetic poles: if the gradient value of a certain area increases along the direction of the arch depression, the adjacent magnetic poles use the same direction current, and distribute the current size according to the gradient ratio to establish a forward current proportional relationship; if the gradient value decreases, the adjacent magnetic poles use reverse current, and adjust the current difference proportionally to establish a reverse current proportional relationship.

[0086] Next, a combination of currents is applied to adjacent magnetic poles, generating magnetic field interactions and forming a superposition region. This superposition aligns the magnetic flux lines with the curvature of the foot's surface, resulting in an inclined distribution pattern. For example, applying current in the same direction enhances the axial magnetic field component, accelerating the flow of magnetic fluid along the foot's axis; applying current in the opposite direction enhances the radial component, constraining fluid diffusion and avoiding energy waste. This results in an inclined distribution of magnetic flux lines in the resulting magnetic field, promoting directional fluid flow while preventing lateral escape.

[0087] Finally, the optical fiber probe array in step 1024 measures the spatial intensity distribution of the axial and radial components of the magnetic field in real time to generate a corresponding magnetic field intensity distribution map; combined with the anatomical direction data of the concave area of ​​the foot surface, the main extension direction and curvature change characteristics of the area are systematically analyzed, and the optimal matching angle of the magnetic field intensity gradient direction is calculated to ensure that the angle between this direction and the main extension direction of the concave area in three-dimensional space is less than a preset threshold; at the same time, the attenuation rate of the magnetic field intensity along the surface normal is dynamically adjusted according to the curvature change characteristics, so that the attenuation trend is consistent with the surface gradient change of the foot tissue; based on the combined data of the optimal matching angle and the magnetic field intensity attenuation rate parameters, a nonlinear decreasing magnetic field intensity distribution model is established in the foot tissue, and by superimposing the axial and radial magnetic field components, a magnetothermal coupling gradient field that accurately matches the gradient change of the foot surface is generated, thereby realizing targeted thermal therapy regulation from the surface of the foot to the deep tissue.

[0088] In actual application, when the magnetic therapy foot bath device starts treatment based on the edema characteristic map, the system first divides the map into four annular control bands along the radial direction of the plantar surface, corresponding to the four concentric annular magnetic poles of the device, among which the third control band presents a gradient characteristic that increases toward the direction of the arch depression; at this time, the control circuit applies the same direction current to the third and fourth magnetic poles, 1.2A to the third pole and 1.8A to the fourth pole, establishing a positive current ratio relationship of 1:1.5, so that the superimposed magnetic field produces a 15° inclined magnetic flux distribution; at the same time, the built-in optical fiber array detects that the matching angle between the main extension direction of the arch depression and the magnetic field gradient direction is 8°, which is less than the preset threshold of 10°, and the system attenuates the magnetic field. The reduction model was used to calculate the attenuation rate of the normal direction of the arch surface. Based on the magnetic induction intensity of 4.5 mT on the plantar contact surface and 1.2 mT at the target depth of 3 cm subcutaneously, the attenuation coefficient was inversely calculated to be 0.4. A nonlinear gradient field with a magnetic induction intensity ranging from 4.5 mT to 3.0 mT to 1.8 mT to 1.2 mT was generated. At the same time, based on the linear relationship between the axial component of the magnetic field and the fluid driving force, a theoretical flow rate of 12 cm / s was calculated from the total magnetic field gradient of 3.3 mT. The axial flow rate of the magnetic fluid in the heat exchange pipeline was simultaneously driven to increase from the base flow of 5 cm / s to 12 cm / s in the corresponding area, achieving targeted magnetic thermal synergistic treatment that matched the anatomical structure of the edema area.

[0089] In the complete solution of step 102 above, the edema characteristic map is divided into annular control zones corresponding to concentric annular magnetic poles to achieve precise matching of the magnetic field gradient direction and the edema distribution. The edema gradient change trend of the annular control zone drives the current direction combination of adjacent magnetic poles, so that the magnetic field superposition area forms an inclined magnetic flux line distribution with both axial drainage and radial constraint. The axial component intensity is dynamically adapted to the anatomical direction of the foot surface, and the generated magnetothermal coupling gradient field presents an intensity gradient change along the direction of the arch depression, which not only promotes the directional drainage of tissue fluid, but also inhibits the spread of edema, achieving deep synergy between the physical characteristics of the magnetic field and biomechanical requirements, and providing a spatially adjustable electromagnetic intervention basis for targeted regulation of edema.

[0090] 103. Input the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve into the compensation module of the magnetic therapy foot bath device to generate a dual-variable control instruction including the magnetic field action radius and the fluid circulation rate. The constraint condition of the dual-variable control instruction includes the temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution.

[0091] Optionally, step 103 includes:

[0092] 1031. Obtaining the measured values ​​of the magnetic field intensity of each annular control zone in the magnetothermal coupling gradient field and the measured values ​​of the fluid flow rate in the corresponding section in the heat exchange pipeline as actual distribution parameters;

[0093] 1032. Calculate the difference between the magnetic field intensity in the actual distribution parameter and the magnetic field intensity reference value preset in the target impedance attenuation curve to generate a compensation coefficient for the magnetic field action radius;

[0094] 1033. Generate a compensation coefficient for the fluid circulation rate according to a ratio of the measured fluid flow rate to a preset heat exchange rate reference value in the target impedance attenuation curve;

[0095] 1034. The compensation coefficient of the magnetic field action radius and the compensation coefficient of the fluid circulation rate are combined with the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record and the linear constraint condition to generate a two-variable control instruction. The linear constraint condition limits the product of the magnetic field action radius compensation coefficient and the fluid circulation rate compensation coefficient to not exceed a preset safety threshold.

[0096] Among them, step 1034 may specifically include the following processes: obtaining the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record, recording it as the maximum difference value, and establishing a linear constraint condition based on the product of the compensation coefficient of the magnetic field action radius and the compensation coefficient of the fluid circulation rate not exceeding the preset safety threshold; based on the compensation coefficient of the magnetic field action radius and the compensation coefficient of the fluid circulation rate, combined with the maximum difference value, determining the initial candidate value of the magnetic field action radius compensation coefficient and the initial candidate value of the fluid circulation rate compensation coefficient, so that the product of the two approaches the preset safety threshold; when the initial candidate value meets the linear constraint condition, the initial candidate value is directly used as the final compensation coefficient; when the initial candidate value does not meet the linear constraint condition, the initial candidate value is iteratively corrected until the linear constraint condition is met, and the corrected magnetic field action radius compensation coefficient and fluid circulation rate compensation coefficient are recorded at the same time; the corrected magnetic field action radius compensation coefficient and fluid circulation rate compensation coefficient are combined to generate a dual-variable control instruction.

[0097] In the above scheme, the actual distribution parameters refer to the actual measured values ​​of the magnetic field strength of the annular control belt and the actual measured values ​​of the fluid flow rate in the corresponding section of the heat exchange pipeline detected in real time when the equipment is running. The target impedance attenuation curve refers to the ideal relationship curve between the preset magnetic field strength and the change in tissue impedance, which includes the theoretical optimal magnetic field strength and the theoretical optimal fluid flow rate. The linear constraint condition means that the product of the magnetic field action radius compensation coefficient and the fluid circulation rate compensation coefficient does not exceed the preset safety threshold. The dual-variable control instruction is an instruction that outputs two control variables including the magnetic field action radius and the fluid circulation rate. Its generation must meet the temperature difference between the plantar epidermis temperature and the deep tissue and the linear constraint condition. The compensation coefficient refers to the deviation correction ratio between the actual parameter and the target value. For example, the magnetic field action radius compensation coefficient is generated by difference calculation, and the fluid circulation rate compensation coefficient is generated by ratio calculation.

[0098] In an embodiment of the present application, first, the magnetic field strength of each area is measured in real time by the Hall sensors distributed on the annular control belt in step 1031, and the fluid flow rate data is collected by the flow meter embedded in the heat exchange pipeline. These measured values ​​are integrated into a parameter matrix to describe the actual distribution state of the current magnetothermal coupling gradient field. For example, suppose the device detects that the magnetic field strength of the first annular control belt is 50mT, and the target baseline value of the area is 60mT; at the same time, the measured value of the fluid flow rate of the corresponding pipeline is 2L / min, and the baseline value is 2.5L / min. These data form the basis for subsequent compensation calculations.

[0099] Secondly, the system compares the measured magnetic field strength with the reference value in the target impedance attenuation curve, calculates the difference and normalizes it to generate a compensation coefficient for the magnetic field radius. The specific calculation formula is: For example, if the reference magnetic field strength is 60mT and the measured value is 50mT, the compensation coefficient is 0.17, which means that the magnetic field range needs to be expanded by 17% to compensate for the insufficient strength.

[0100] Next, the compensation factor for the fluid flow rate is directly determined by comparing the measured value to the baseline value, reflecting the difference between the current heat exchange efficiency and the ideal state. For example, if the measured flow rate is 2L / min and the baseline is 2.5L / min, the compensation factor is 0.8, meaning the flow rate needs to be adjusted to 80% of the baseline value to avoid overheating.

[0101] Finally, in step 1034, historical treatment data is retrieved to obtain the maximum temperature difference between the plantar epidermis and deeper tissues as a key reference value. Based on this extreme temperature difference, the system establishes a linear constraint, requiring that the product of the magnetic field radius compensation coefficient and the fluid circulation rate compensation coefficient must not exceed a preset safety threshold. The system combines the currently calculated initial compensation coefficient and uses an optimization algorithm to bring this product as close as possible to, but not exceeding, the safety threshold. If the initial candidate value meets the constraint, it is directly adopted; if not, the two compensation coefficients are dynamically adjusted through an iterative algorithm until they meet safety requirements. The optimized compensation coefficients are combined to generate a dual-variable control instruction, ensuring precise control of magnetic thermal coupling therapy within a safe range.

[0102] In actual application, when the magnetic therapy foot bath device detects that the actual measured value of the magnetic field intensity of the third annular control zone is 48mT, which is lower than the target reference value of 55mT and the corresponding pipeline fluid flow rate is 1.8L / min, which is lower than the reference value of 2.2L / min, the compensation module first calculates the magnetic field action radius compensation coefficient as 0.127 and the fluid circulation rate compensation coefficient as 0.818; combined with the historical data of the maximum temperature difference between the epidermis and deep tissue in this area of ​​3.2℃ and the preset safety threshold of 0.1, the system adjusts the magnetic field action radius compensation coefficient to 0.118 and the fluid circulation rate compensation coefficient to 0.847 through iterative correction, so that the product is accurately controlled within the threshold of 0.1, and generates a dual-variable control instruction; the third magnetic pole action radius is expanded by 11.8%, and the fluid flow rate is increased to 84.7% of the reference value, so as to achieve coordinated optimization compensation of magnetic and thermal parameters while ensuring that the temperature difference does not exceed 3.2℃.

[0103] In the complete solution of step 103 above, by real-time acquisition of the magnetic field intensity of the magnetothermal coupling gradient field and the measured values ​​of the flow rate of the heat exchange pipeline, combined with the preset reference value of the target impedance attenuation curve, a dual compensation coefficient of the magnetic field action radius and the fluid circulation rate is dynamically generated. Based on the historical temperature extreme value data and linear constraints, the synergistic intensity of the magnetic field intensity and the fluid flow rate is intelligently adjusted. This dual-variable control instruction not only ensures that the magnetic field penetration depth accurately matches the impedance attenuation requirements, but also optimizes the heat exchange efficiency to maintain the stability of the tissue temperature gradient, and ultimately realizes closed-loop adaptive control of the electromagnetic-fluid coupling system, maximizing the intervention efficiency of edema reduction within the safety threshold.

[0104] 104. The electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline are synchronously adjusted through the dual-variable control instruction, so that the magnetic flux density in the foot recess area is dynamically matched with the spatial distribution of the fluid heat transfer rate data changing with impedance.

[0105] Optionally, step 104 includes:

[0106] 1041. Analyze the magnetic field action radius parameter in the dual-variable control instruction and convert it into an electromagnetic frequency adjustment value for each annular magnetic pole. The electromagnetic frequency adjustment value is inversely proportional to the square of the magnetic field action radius.

[0107] 1042. Analyze the fluid circulation rate parameter in the dual-variable control instruction and convert it into an opening adjustment value for each branch valve of the heat exchange pipeline, wherein the opening adjustment value is proportional to the logarithm of the fluid circulation rate;

[0108] 1043. Apply a regional weighting factor to the electromagnetic frequency adjustment amount of each annular magnetic pole according to the spatial distribution characteristics of the foot concave area in the impedance change data, wherein the regional weighting factor is positively correlated with the impedance change amplitude of the concave area;

[0109] 1044. Dynamically correct the valve opening adjustment amount according to the regional weight factor so that the proportional coefficient between the fluid heat transfer rate and the magnetic flux density adjustment amount in the same annular action zone remains constant.

[0110] In the above scheme, the foot depression area refers to the localized depression formed in the user's foot due to edema or pressure. The impedance change reflects the tissue state. The fluid heat transfer rate refers to the amount of heat transferred by the fluid per unit time and is related to flow rate and temperature. The regional weight factor is a correction coefficient based on the magnitude of the impedance change, which is used to adjust the local priority of electromagnetic frequency and valve opening. The proportionality coefficient refers to the matching relationship between the magnetic flux density and the heat transfer rate to ensure synergy.

[0111] In the embodiment of the present application, first, the magnetic field action radius parameter in the dual variable control instruction is parsed in step 1041. Based on the magnetic field action radius parameter, the electromagnetic frequency adjustment amount of the annular magnetic pole is inversely proportional to the square of the magnetic field action radius parameter, and the electromagnetic frequency of each annular magnetic pole is calculated in real time. The specific formula is as follows: Where k1 is the magnetic field strength calibration factor, and r is the magnetic field radius. For example, when the radius parameter is adjusted from the default value of 10 cm to 5 cm, the electromagnetic frequency is increased from 25 Hz to 100 Hz, reducing the magnetic field coverage area and increasing the local magnetic flux density.

[0112] Next, step 1042 analyzes the fluid circulation rate parameter in the instruction. Based on this fluid circulation rate parameter, the opening adjustment of each branch valve of the heat exchange pipeline is calculated according to the logarithmic conversion formula θ = k²·ln(v), where v is the fluid circulation rate and k² is the valve response coefficient. If the flow rate is set to 3m / s, the model calculation results in an opening of 70%, ensuring a preliminary match between the fluid heat transfer rate and the magnetic field strength.

[0113] Then, combining the impedance change data of the foot depression area, the corresponding regional weight factor is calculated for the coordinate points where the impedance change amplitude exceeds the threshold. The calculation formula is as follows: w = α·ΔZ, where α is the normalization coefficient and ΔZ is the impedance change. For example, if the impedance at the center of a depression is 1.8 times higher than that of the surrounding tissue, the weight factor is set to 2.0. This is used to spatially weight the electromagnetic frequency adjustment amount, and the magnetic pole frequency in this area is quadratically corrected from 80Hz to 160Hz, achieving local adaptive enhancement of the magnetic field strength.

[0114] Finally, the valve opening is dynamically modified according to the weight factor, and the weighted electromagnetic frequency and fluid valve opening are input into the multivariable coupling controller to maintain a constant ratio of magnetic flux density to heat transfer rate. The ratio formula is as follows Where B is the magnetic flux density is the heat transfer rate, and k3 is the preset proportionality factor. For example, when the magnetic field intensity increases to 160Hz due to the doubling of the weighting factor, the controller dynamically adjusts the valve opening from 85% to 92% based on real-time heat transfer temperature difference feedback, ensuring the coordinated optimization of heat flow output and magnetic therapy intensity, avoiding local temperature overshoot or imbalance in the magnetothermal effect.

[0115] In actual application, when the magnetic therapy foot bath device performs treatment according to the dual-variable control instruction with a magnetic field radius of 4.47 cm and a fluid circulation rate parameter of 1.86 L / min, the electromagnetic frequency of the third annular magnetic pole is first adjusted from the base 50 Hz to 58 Hz, and the opening of the heat exchange branch valve in the area is adjusted to 65%; then, based on the impedance change data of the recessed area, a regional weight factor of 1.3 is applied to further increase the electromagnetic frequency to 75 Hz, and the valve opening is dynamically corrected to 78%, maintaining a magnetothermal proportional coefficient of 0.85, and finally making the magnetic flux density on the inner side of the arch reach 4.8 mT / mm 2 At the same time, the fluid heat transfer rate increases to 2.4kcal / s·cm 2 , to achieve precise coordinated regulation of magnetic field penetration depth and thermal diffusion efficiency in the edema area.

[0116] In the complete solution of step 104 above, the magnetic field action radius parameter in the dual-variable control instruction is converted into an electromagnetic frequency adjustment amount that is inversely proportional to the square of the radius, and the fluid circulation rate parameter is converted into a valve opening adjustment amount in a logarithmic proportional relationship, thereby achieving high-precision mapping of physical parameters to execution instructions. The regional weight factor is applied in combination with the impedance change characteristics of the foot depression area, and the electromagnetic frequency of each annular magnetic pole and the branch valve opening are dynamically adjusted to maintain the optimal ratio of the magnetothermal coupling intensity within the same action band. This solution ensures the coordinated optimization of the magnetic field penetration depth and the fluid heat transfer efficiency through a dynamic correction mechanism that adapts to the impedance change amplitude. Under the premise of maintaining the safe threshold of biological tissue temperature, it realizes precise energy regulation of targeted treatment of edema areas, significantly improves the spatial resolution and thermodynamic stability of the intervention process, and improves the comfort and safety of treatment.

[0117] The following is a complete example for steps 101 to 104. Figure 2 As shown, a plantar-embedded sensor array first collected multi-frequency impedance data at a sweep frequency of 50Hz to 1MHz. A phase delay of 0.25ms between the mid-arch and adjacent units was detected, exceeding the normal threshold of 0.18ms. Furthermore, a phase difference extreme of 0.32ms / cm was extracted in the transition zone between the arch and forefoot. A high-resolution edema feature map was generated using a spatial interpolation algorithm. The grayscale value of the central region of the arch depression reached 210, while the grayscale value of the normal region was only 150, quantifying the degree of impedance abnormality.

[0118] Secondly, the atlas was divided into five concentric ring-shaped control zones along the plantar radial direction, corresponding to five groups of magnetic poles with a spacing of 1.2 cm. For the grayscale gradient of the third zone, the third and fourth magnetic poles were controlled to apply a 2.0A unidirectional current (ratio 1:1.6), and the superimposed magnetic field was calculated to generate 22° inclined magnetic flux lines, of which the axial and radial magnetic field intensities were 6.3mT and 2.8mT, respectively. At the same time, combined with the anatomical data of the arch curvature radius of 4.2cm, the magnetic field attenuation model parameters were dynamically adjusted to maintain the magnetic field intensity at 3.1mT 2cm below the skin, and the axial flow rate of the magnetic fluid was driven from 6cm / s to 15cm / s.

[0119] Then, the compensation module is used to obtain the actual measured value of the magnetic field strength of the third control zone, 5.8mT, and the actual measured value of the fluid flow rate, 14.2cm / s, in real time. The measured values ​​are compared with the target value of the magnetic field strength, 6.3mT, and the target value of the fluid flow rate, 15cm / s. The magnetic field compensation coefficient is calculated to be 0.079 and the flow rate compensation coefficient is 0.947. Combined with the maximum temperature difference of 3.8°C and the safety threshold of 0.12 in historical treatment, the optimal compensation parameters are calculated, and the final output effective radius is 3.95cm and the fluid flow rate is 14.6cm / s.

[0120] Finally, based on the expanded radius of 3.95 cm and the fact that the electromagnetic frequency adjustment of the annular magnetic pole is inversely proportional to the square of the magnetic field radius parameter, the frequency of the third magnetic pole was increased from 50 Hz to 61 Hz, and the valve opening was dynamically adjusted to 92% based on the fluid flow rate. Based on the regional weight factor of 1.5 times that of the area, the frequency was finally dynamically corrected to 91.5 Hz, and the valve opening was simultaneously optimized to 96%, achieving an increase in the magnetic flux density to 5.8 mT / mm. 2 , the heat transfer rate reaches 3.2kcal / s·cm 2 , achieving millimeter-level spatial matching between magnetic field penetration depth and thermal diffusion efficiency in the edema core area (z = 0-3 cm).

[0121] Figure 3 The present invention provides a schematic diagram of a multi-mode temperature control system for a magnetic foot bath device. Figure 3 As shown, the system includes:

[0122] Establishing module 31, for collecting impedance change data of the arch and sole of the foot through a foot contact sensor, and establishing an edema characteristic map according to the phase difference between adjacent detection units in the impedance change data;

[0123] A generating module 32 is configured to control the driving current of multiple concentric annular magnetic poles in the magnetic therapy foot bath device based on the gradient distribution of the edema characteristic map, so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot;

[0124] The generating module 32 is further configured to input the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve into a compensation module in the magnetic therapy foot bath device to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate, wherein the constraint condition of the dual-variable control instruction includes a temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution;

[0125] The adjustment module 33 is used to synchronously adjust the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline through the dual-variable control instruction, so that the magnetic flux density in the foot recess area dynamically matches the spatial distribution of the fluid heat transfer rate with the impedance change data.

[0126] Figure 4 The multi-mode temperature control system of the magnetic therapy foot bath device can be implemented Figure 1 The implementation principle and technical effects of the multi-modal temperature control method for a magnetic foot bath device described in the illustrated embodiment will not be elaborated on here. The specific manner in which each module and unit performs operations in the multi-modal temperature control system for a magnetic foot bath device in the above embodiment has been described in detail in the embodiments of the method and will not be elaborated on here.

[0127] In one possible design, Figure 3 The multi-modal temperature control system of a magnetic foot bath device of the embodiment shown can be implemented as a computing device, such as Figure 4 As shown, the computing device may include a storage component 41 and a processing component 42;

[0128] The storage component 41 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 42 .

[0129] The processing component 42 is used for the above Figure 1 The embodiment provides a multi-modal temperature control method for a magnetic therapy foot bath device.

[0130] The processing component 42 may include one or more processors to execute computer instructions to perform all or part of the steps in the above method. Of course, the processing component may also be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above method.

[0131] The storage component 41 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0132] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0133] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0134] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0135] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0136] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 A multi-modal temperature control method for a magnetic therapy foot bath device according to the embodiment shown.

[0137] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0138] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0139] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A multi-modal temperature control method for a magnetic foot bath device, characterized in that: include: collecting impedance change data of the arch and sole of the foot through a foot contact sensor, and establishing an edema characteristic map based on the phase difference between adjacent detection units in the impedance change data; Based on the gradient distribution of the edema characteristic map, the driving current of multiple concentric annular magnetic poles in the magnetic therapy foot bath device is controlled so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot; The actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve are input into a compensation module in the magnetic therapy foot bath device to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate. The constraint condition of the dual-variable control instruction includes a temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution; The electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline are synchronously adjusted through the dual-variable control instruction, so that the magnetic flux density in the foot recess area is dynamically matched with the spatial distribution of the fluid heat transfer rate data as the impedance changes.

2. The method according to claim 1, characterized in that The actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve are input into the dynamic compensation module to generate a dual-variable control instruction including the magnetic field action radius and the fluid circulation rate, including: Obtaining the measured values ​​of the magnetic field intensity of each annular control zone in the magnetothermal coupling gradient field and the measured values ​​of the fluid flow rate in the corresponding section in the heat exchange pipeline as actual distribution parameters; Calculating the difference between the magnetic field intensity in the actual distribution parameter and the magnetic field intensity reference value preset in the target impedance attenuation curve to generate a compensation coefficient for the magnetic field action radius; generating a compensation coefficient for the fluid circulation rate according to a ratio of the measured fluid flow rate to a preset heat exchange rate reference value in the target impedance attenuation curve; The compensation coefficient of the magnetic field action radius and the compensation coefficient of the fluid circulation rate are combined with the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution records and the linear constraint conditions to generate a two-variable control instruction. The linear constraint conditions limit the product of the magnetic field action radius compensation coefficient and the fluid circulation rate compensation coefficient to not exceed a preset safety threshold.

3. The method according to claim 2, characterized in that The compensation coefficient of the magnetic field radius and the compensation coefficient of the fluid circulation rate are combined with the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record and the linear constraint condition to generate a dual-variable control instruction, including: Obtaining the extreme value of the difference between the plantar epidermal temperature and the deep tissue temperature in the historical execution record, recording it as the maximum difference value, and establishing a linear constraint condition based on the product of the compensation coefficient for the magnetic field radius and the compensation coefficient for the fluid circulation rate not exceeding a preset safety threshold; based on the compensation coefficient for the magnetic field radius and the compensation coefficient for the fluid circulation rate, combined with the maximum difference value, determining initial candidate values ​​for the compensation coefficient for the magnetic field radius and the initial candidate values ​​for the compensation coefficient for the fluid circulation rate, such that the product of the two approaches the preset safety threshold; When the initial candidate value satisfies the linear constraint condition, the initial candidate value is directly used as the final compensation coefficient; when the initial candidate value does not satisfy the linear constraint condition, the initial candidate value is iteratively corrected until the linear constraint condition is satisfied, and the corrected magnetic field radius compensation coefficient and fluid circulation rate compensation coefficient are recorded at the same time; The corrected magnetic field action radius compensation coefficient and fluid circulation rate compensation coefficient are combined to generate a dual-variable control instruction.

4. The method according to claim 1, wherein The method of synchronously adjusting the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline according to the dual-variable control instruction so as to dynamically match the magnetic flux density of the foot recess area with the spatial distribution of the fluid heat transfer rate as the impedance changes includes: Analyzing the magnetic field action radius parameter in the dual-variable control instruction and converting it into an electromagnetic frequency adjustment amount for each annular magnetic pole, wherein the electromagnetic frequency adjustment amount is inversely proportional to the square of the magnetic field action radius; parsing the fluid circulation rate parameter in the dual-variable control instruction and converting it into an opening adjustment amount of each branch valve of the heat exchange pipeline, wherein the opening adjustment amount is proportional to the logarithm of the fluid circulation rate; According to the spatial distribution characteristics of the foot concave area in the impedance change data, a regional weight factor is applied to the electromagnetic frequency adjustment amount of each annular magnetic pole, and the regional weight factor is positively correlated with the impedance change amplitude of the concave area; The valve opening adjustment amount is dynamically corrected according to the regional weight factor, so that the proportional coefficient between the fluid heat transfer rate and the magnetic flux density adjustment amount in the same annular action zone remains constant.

5. The method according to claim 1, characterized in that The method collects impedance change data of the arch and sole of the foot through the foot contact sensor, and establishes an edema characteristic map according to the phase difference between adjacent detection units in the impedance change data, including: Continuously acquiring impedance change data at each detection point through detection units arranged in an array in the foot contact sensor, wherein the impedance change data includes the conduction delay characteristics of the alternating current signal in the foot tissue; For the impedance change data between adjacent detection units, the time offset of the signal peak corresponding to the impedance change data is extracted by waveform comparison, and the phase difference value between the adjacent detection units is calculated based on the time offset. The phase difference value is the absolute value of the peak time difference of the same frequency component in the two impedance change data; According to the spatial distribution of the phase difference value, the foot is divided into a plurality of continuous regions, and when the phase difference value of adjacent regions exceeds a preset blocking determination threshold, it is marked as an impedance abnormality region; The phase difference values ​​of each impedance abnormal area are accumulated along the arc direction of the arch to generate an edema characteristic map based on the plantar surface coordinates. The value of each coordinate point in the edema characteristic map represents the degree of impedance change of the corresponding foot tissue through the cumulative amount of the phase difference value.

6. The method according to claim 1, wherein The method controls the driving current of multiple concentric annular magnetic poles based on the gradient distribution of the edema characteristic map, so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, forming a magnetic thermal coupling gradient field that matches the foot surface, including: The radial distribution of the edema characteristic map along the curved surface of the foot is divided into annular control zones having the same number as the concentric annular magnetic poles, wherein the edema gradient direction of each annular control zone is consistent with the direction of the axial magnetic field component of the corresponding magnetic pole; Determining a combination of driving current directions of adjacent magnetic poles based on a change trend of the edema gradient of each annular control band, wherein the process of determining the combination of driving current directions of adjacent magnetic poles comprises: when the gradient value of the annular control band increases along the direction of the arch depression, the adjacent magnetic poles use currents in the same direction and establish a positive current proportional relationship; when the gradient value of the annular control band decreases along the direction of the arch depression, the adjacent magnetic poles use currents in opposite directions and establish a reverse current proportional relationship; The magnetic field superposition area of ​​adjacent magnetic poles is driven by the combination of current directions, so that the superimposed magnetic flux lines form an inclined distribution pattern consistent with the curvature of the foot surface, and the inclined distribution pattern includes an axial component pointing to the center of the foot depression and a radial component that restricts fluid diffusion; Based on the spatial intensity distribution of the axial component in the tilted distribution pattern, the direction of the magnetic field intensity gradient is matched with the anatomical trend of the concave area of ​​the foot surface, and a magnetothermal coupling gradient field is formed in the foot tissue in which the magnetic field intensity changes along the surface gradient.

7. The method according to claim 6, characterized in that The method of matching the magnetic field intensity gradient direction with the anatomical orientation of the concave area of ​​the foot surface based on the spatial intensity distribution of the axial component in the inclined distribution pattern, and forming a magnetothermal coupling gradient field in the foot tissue in which the magnetic field intensity changes along the curved surface gradient, includes: Measuring the spatial intensity distribution corresponding to the axial component and the radial component in the tilt distribution pattern by an optical fiber probe array, and generating a corresponding magnetic field intensity distribution; Acquire anatomical direction data of a concave area on a curved surface of a foot, and determine the main extension direction and curvature change characteristics of the concave area; Based on the spatial intensity distribution of the axial component, the optimal matching angle of the magnetic field intensity gradient direction is calculated so that the angle between the gradient direction and the main extension direction of the recessed area in three-dimensional space is less than a preset threshold; and according to the curvature variation characteristics, the attenuation rate of the magnetic field intensity along the surface normal is dynamically adjusted, and the magnetic field intensity attenuation rate parameter after the dynamic adjustment is recorded; Based on the combined data of the optimal matching angle and the magnetic field intensity attenuation rate parameter, a magnetic field intensity distribution model is established in the foot tissue, so that the magnetic field intensity decreases nonlinearly from the surface layer of the foot to the deep tissue, and the decreasing trend is consistent with the surface gradient change of the concave area; Based on the magnetic field intensity distribution model, a magnetothermal coupling gradient field with a gradient change along the foot surface is generated by superimposing the magnetic field intensity distributions of the axial component and the radial component.

8. A multi-modal temperature control system for a magnetic foot bath device, characterized in that: include: Establishing a module for collecting impedance change data of the arch and sole of the foot through a foot contact sensor, and establishing an edema characteristic map based on the phase difference between adjacent detection units in the impedance change data; A generation module is configured to control the driving current of multiple concentric annular magnetic poles in a magnetic therapy foot bath device based on the gradient distribution of the edema characteristic map, so that the superposition effect of the magnetic field generated between adjacent magnetic poles synchronously changes the axial flow velocity of the magnetic fluid in the heat exchange pipeline, thereby forming a magnetic thermal coupling gradient field that matches the curved surface of the foot; The generation module is further configured to input the actual distribution parameters of the magnetothermal coupling gradient field and the target impedance attenuation curve into a compensation module in the magnetic therapy foot bath device to generate a dual-variable control instruction including a magnetic field action radius and a fluid circulation rate, wherein the constraint condition of the dual-variable control instruction includes a temperature difference threshold between the plantar epidermal temperature and the deep tissue during the previous execution; The regulation module is used to synchronously adjust the electromagnetic frequency of each annular magnetic pole and the valve opening of the heat exchange pipeline through the dual-variable control instruction, so that the magnetic flux density in the foot recess area dynamically matches the spatial distribution of the fluid heat transfer rate with the impedance change data.

9. A computing device, characterized in that It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multi-modal temperature control method for a magnetic therapy foot bath device as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, a multi-modal temperature control method for a magnetic therapy foot bath device as claimed in any one of claims 1 to 7 is implemented.

Images