Multi-modal data fusion moxibustion constant-temperature dynamic control method and device

Abstract

The invention discloses a multi-modal data fusion moxibustion constant-temperature dynamic control method and device, and relates to the technical field of data processing.The method comprises the steps that skin temperature distribution and medicine volatilization distribution are obtained; acquiring skin partitions, and acquiring skin state distribution based on the skin partitions, the skin temperature distribution and the drug volatilization distribution; acquiring a temperature consistency parameter and a volatilization uniformity parameter based on the skin state distribution; based on the temperature consistency parameter and the volatilization uniformity parameter, a moxibustion constant-temperature dynamic control scheme is obtained, and moxibustion constant-temperature dynamic control is conducted. The technical problem that in the prior art, moxibustion control parameters are poor in adaptability is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a moxibustion constant temperature dynamic control method and device based on multi-modal data fusion. BACKGROUND

[0002] As an important part of traditional Chinese medicine external treatment, moxibustion is widely used in the health care field due to its unique effect of warming meridians and regulating blood circulation. With the progress of science and technology, electronic moxibustion equipment gradually replaces traditional open fire moxibustion to improve the safety and convenience of operation. In the prior art, moxibustion equipment usually uses simple feedback control to adjust parameters. This method relies on the data collected by local temperature sensors to maintain the preset temperature value by adjusting the heating power or working time. However, the human skin surface has complex anatomical and physiological characteristics, and the skin in different areas is significantly different, resulting in uneven heat field distribution during moxibustion, which reduces the overall effect of moxibustion. SUMMARY

[0003] The present application provides a moxibustion constant temperature dynamic control method and device based on multi-modal data fusion, which is used to solve the technical problem of poor adaptability of moxibustion control parameters in the prior art.

[0004] In view of the above problems, the present application provides a moxibustion constant temperature dynamic control method and device based on multi-modal data fusion.

[0005] In the first aspect, the present application provides a moxibustion constant temperature dynamic control method based on multi-modal data fusion, which comprises: obtaining skin temperature distribution and drug volatilization distribution; obtaining skin partition, and based on the skin partition, the skin temperature distribution and the drug volatilization distribution, obtaining skin state distribution; based on the skin state distribution, obtaining temperature consistency parameters and volatilization uniformity parameters; based on the temperature consistency parameters and the volatilization uniformity parameters, obtaining a moxibustion constant temperature dynamic control scheme, and performing moxibustion constant temperature dynamic control.

[0006] In the second aspect, the present application provides a moxibustion constant temperature dynamic control device based on multi-modal data fusion, which comprises: a skin state acquisition module for obtaining skin temperature distribution and drug volatilization distribution; a state distribution acquisition module for obtaining skin partition, and based on the skin partition, the skin temperature distribution and the drug volatilization distribution, obtaining skin state distribution; a consistency analysis module for obtaining temperature consistency parameters and volatilization uniformity parameters based on the skin state distribution; The control scheme acquisition module is configured to acquire a moxibustion constant-temperature dynamic control scheme based on the temperature consistency parameter and the volatile uniformity parameter, and perform moxibustion constant-temperature dynamic control.

[0007] The one or more technical solutions provided in the present application have at least the following technical effects or advantages: The present application provides a moxibustion constant-temperature dynamic control method and device based on multi-modal data fusion. By integrating and analyzing multi-modal data such as skin temperature distribution and drug volatile distribution, and combining with skin partition characteristics, an optimized control scheme is dynamically generated, which significantly improves the accuracy of temperature control and the uniformity of drug volatilization during the moxibustion treatment process. Compared with the traditional method, the technical solution provided by the present application significantly overcomes the problems of local overheating or insufficient temperature, uneven drug penetration, etc. caused by single-point monitoring and static control, and achieves stable and consistent temperature field during the entire moxibustion process, while promoting the uniform absorption of effective components of moxibustion drugs, and improving the intelligent level of moxibustion equipment and user experience. BRIEF DESCRIPTION OF DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0009] Figure 1 The flowchart of the moxibustion constant-temperature dynamic control method based on multi-modal data fusion provided by the embodiments of the present application.

[0010] Figure 2 The structure diagram of the moxibustion constant-temperature dynamic control device based on multi-modal data fusion provided by the embodiments of the present application.

[0011] In the drawings, the components represented by the numbers are described as follows: The skin state acquisition module 100, the state distribution acquisition module 200, the consistency analysis module 300, and the control scheme acquisition module 400. DETAILED DESCRIPTION

[0012] The present application provides a moxibustion constant-temperature dynamic control method and device based on multi-modal data fusion, which is used to solve the technical problem of poor adaptability of moxibustion control parameters in the prior art.

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] It should be noted that the terms "comprising" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to these processes, methods, products, or devices.

[0015] Example 1, as Figure 1 As shown, this application provides a method for dynamic control of moxibustion constant temperature based on multimodal data fusion, wherein the method includes: S10: Obtain skin temperature distribution and drug evaporation distribution.

[0016] In this embodiment, infrared thermography is used to scan the skin surface of the moxibustion area, capturing thermal radiation signals and converting them into temperature values ​​to obtain the skin temperature distribution. The skin temperature distribution is a two-dimensional array, where each element represents the temperature of a pixel; for example, the temperature of a point on the skin surface is 38.5℃. Simultaneously, a gas sensor array is used to detect the concentration of volatile substances from the moxibustion medication. The drug evaporation distribution is obtained through time-interval sampling and quantification; for example, the concentration of the moxibustion medication on the skin surface is sampled every 30 seconds for 120 seconds to obtain the evaporation rate. The drug evaporation distribution is also a two-dimensional array, where each element represents the evaporation rate of a point; for example, the evaporation rate of a point on the skin surface is 0.1 mg / s. By simultaneously acquiring the skin temperature distribution and the drug evaporation distribution, a solid foundation for multimodal data fusion analysis and processing is laid, enabling a more comprehensive digital perception of the moxibustion process.

[0017] S20: Obtain skin regions, and based on the skin regions, the skin temperature distribution, and the drug evaporation distribution, obtain skin state distribution.

[0018] Different areas of skin may exhibit drastically different thermal responses and drug absorption characteristics due to variations in their flatness, relative position to the moxibustion jar, and other anatomical features. Treating the entire area without considering these spatial structural differences will prevent the achievement of precise, differentiated regulation.

[0019] Step S20 in the method provided in this application embodiment includes: Based on the size parameters of the moxibustion jar, the skin zone scale is obtained; Based on the skin partition scale, a skin partition is obtained, and a skin flatness of the skin partition is obtained; The skin temperature distribution is mapped to the skin partition, and a partition average temperature and a partition temperature gradient are obtained; The drug volatilization distribution is mapped to the skin partition, and a partition average volatilization rate and a partition volatilization rate gradient are obtained; Based on the partition average temperature, the partition temperature gradient, the partition average volatilization rate, and the partition volatilization rate gradient, a skin state distribution is obtained.

[0020] In the embodiments of the present application, a skin partition is obtained, and based on the skin partition, a skin temperature distribution, and a drug volatilization distribution, a skin state distribution is obtained.

[0021] Specifically, first, based on the moxa pot size parameters, a skin partition scale is obtained. In the moxa process, the skin near the moxa pot may also be affected by moxa. Exemplarily, the diameter of the moxa pot is 5 cm, and the skin partition scale can be set to a square region of 0.5 cm x 0.5 cm.

[0022] Further, based on the skin partition scale, the skin area is divided into a plurality of grid partitions, each partition corresponding to a rectangular region. Further, the 3D point cloud data of the skin surface is obtained in advance using a depth camera, and the skin flatness is obtained by calculating the height variance of the points in each partition. Specifically, for each skin partition, the height values of a plurality of points are calculated and the variance of the height values is calculated as a flatness index, and the smaller the variance, the flatter the skin surface. For example, the point height variance of a skin partition is 0.01 cm 2 , indicating that the partition is relatively flat. The obtained skin flatness is labeled to the skin partition for subsequent calculation.

[0023] Further, the skin temperature distribution is mapped to the skin partition, and a partition average temperature and a partition temperature gradient are obtained. Specifically, each temperature value in the skin temperature distribution is assigned to the corresponding skin partition according to its position on the skin surface point. For each skin partition, the arithmetic mean of all temperature values in the skin partition is calculated as the partition average temperature. The partition temperature gradient is obtained by calculating the temperature change rate in the partition, that is, the temperature difference between adjacent points in the partition is divided by the distance, and then the average value is obtained. For example, a temperature gradient value of a partition = (the highest temperature - the lowest temperature) ÷ the distance of the points, such as (39-37) ÷ 0.5 = 4. The average value of all temperature gradient values is taken as the partition temperature gradient.

[0024] Further, the drug evaporation distribution is mapped to the skin partitions to obtain a partition average evaporation rate and a partition evaporation rate gradient. Specifically, each evaporation rate in the drug evaporation distribution is assigned to a corresponding skin partition according to its position on the skin surface point. For each skin partition, the arithmetic mean of all evaporation rates in the skin partition is calculated as the partition average evaporation rate. The partition evaporation rate gradient is obtained by calculating the rate of change of the evaporation rate in the partition, that is, taking the difference between the evaporation rates of adjacent points in the partition divided by the distance, and then averaging. For example, one evaporation rate gradient value of a partition = (maximum evaporation rate - minimum evaporation rate) ÷ distance of points, which is (0.4-0.3) ÷ 0.5 = 2. The average of all evaporation rate gradient values is taken as the partition evaporation rate gradient.

[0025] Further, based on the partition average temperature, the partition temperature gradient, the partition average evaporation rate, and the partition evaporation rate gradient, a skin state distribution is obtained. Specifically, a state vector is constructed for each skin partition, which includes four elements of the partition average temperature, the partition temperature gradient, the partition average evaporation rate, and the partition evaporation rate gradient. For example, the state vector of a partition is [38, 2, 2, 4], indicating that the average temperature of the skin partition is 38℃, the average evaporation rate is 2mg / s, the partition temperature gradient is 2℃ / cm, and the partition evaporation rate gradient is 4mg / s·cm. The state vectors of multiple skin partitions are integrated to obtain a skin state distribution matrix as the skin state distribution. Each vector in the skin state distribution corresponds to a skin partition.

[0026] By introducing skin partitioning and partition mapping and fusion of multi-modal distribution data, continuous temperature and evaporation rate distribution data are effectively regionally divided and feature extracted, and a skin state distribution that can comprehensively reflect the thermal and pharmacological state in each partition is generated, laying a data foundation for subsequent precise control.

[0027] S30: Based on the skin state distribution, a temperature consistency parameter and an evaporation uniformity parameter are obtained.

[0028] After obtaining the structured skin state distribution, although the local state of each partition is clearly known, there is still a lack of a macroscopic and global perspective to judge whether the moxibustion quality of the current moxibustion area meets the standard.

[0029] The method provided in the embodiments of the present application comprises the following steps: The arithmetic mean of all partition average temperatures is calculated as a global temperature; The deviation of the partition average temperature of all the skin partitions from the global temperature is calculated to obtain a temperature consistency parameter; The arithmetic mean of all partition average evaporation rates is calculated as a global evaporation rate; The deviation of the partition average evaporation rate of all the skin partitions from the global evaporation rate is calculated to obtain an evaporation uniformity parameter.

[0030] In the embodiments of the present application, the arithmetic mean of all the partition average temperatures is calculated as the global temperature. For example, the arithmetic mean of the partition average temperatures of all the skin partitions within the moxibustion cup area is calculated as the global temperature.

[0031] Further, the deviation of the partition average temperature of all the skin partitions from the global temperature is calculated to obtain a temperature consistency parameter. For example, the absolute temperature difference between the partition average temperature of a skin partition and the global temperature is calculated, and the arithmetic mean of the absolute temperature differences is calculated to obtain the temperature consistency parameter. For example, if the three partition average temperatures are 38, 39 and 37 degrees Celsius, and the global temperature is 38 degrees Celsius, then the temperature consistency parameter = (|38-38|+|39-38|+|37-38|) / 3 = 0.67°C. The greater the temperature consistency parameter, the worse the temperature consistency among the skin partitions, i.e., the temperature distribution of the skin partitions is uneven.

[0032] The arithmetic mean of all the partition average evaporation rates is calculated as the global evaporation rate. For example, the arithmetic mean of the partition average evaporation rates of all the skin partitions within the moxibustion cup area is calculated as the global evaporation rate.

[0033] Further, the deviation of the partition average evaporation rate of all the skin partitions from the global evaporation rate is calculated to obtain an evaporation uniformity parameter. For example, the absolute evaporation rate difference between the partition average evaporation rate of a skin partition and the global evaporation rate is calculated, and the arithmetic mean of the absolute evaporation rate differences is calculated to obtain the evaporation uniformity parameter. For example, if the partition average evaporation rates of three partitions are 0.4 mg / s, 0.5 mg / s and 0.3 mg / s, and the global evaporation rate is 0.4 mg / s, then the evaporation uniformity parameter = (|0.4-0.4|+|0.5-0.4|+|0.3-0.4|) / 3 = 0.067 mg / s. The greater the evaporation uniformity parameter, the worse the evaporation uniformity among the skin partitions, i.e., the evaporation rate distribution of the skin partitions is uneven.

[0034] By highly summarizing and sublimating the state information dispersed in each partition, two comprehensive and global indexes for heat balance and evaporation balance are generated. The temperature consistency parameter objectively reflects the uniformity of the temperature field of the entire treatment area, and the evaporation uniformity parameter directly represents the stability of the drug efficacy release, providing a clear optimization direction for the subsequent dynamic control scheme.

[0035] S40: Based on the temperature consistency parameter and the evaporation uniformity parameter, a moxibustion constant-temperature dynamic control scheme is obtained to perform moxibustion constant-temperature dynamic control.

[0036] Traditional static feedback control cannot coordinate the two interrelated but possibly offsetting targets of temperature and volatility at the same time, and it is difficult to continuously maintain the optimal state in the dynamically changing treatment process.

[0037] The step S40 in the method provided in the embodiments of the present application comprises: obtaining a current moxibustion control scheme; obtaining an adjustment amplitude based on the zoned temperature gradient and the zoned volatility gradient; The method comprises the following steps: determining whether the temperature consistency parameter exceeds a temperature consistency threshold value and determining whether the volatility uniformity parameter exceeds a volatility uniformity threshold value; when the temperature consistency parameter exceeds the temperature consistency threshold value, obtaining a first adjustment amplitude based on the zoned temperature gradient, wherein the adjustment amplitude comprises a power adjustment amplitude and a time length adjustment amplitude; when the volatility uniformity parameter exceeds the volatility uniformity threshold value, obtaining a second adjustment amplitude based on the zoned temperature gradient, wherein the adjustment amplitude comprises a power adjustment amplitude and a time length adjustment amplitude; obtaining a first amplitude weight based on the temperature consistency parameter, the temperature consistency threshold value and the skin flatness; obtaining a second amplitude weight based on the volatility uniformity parameter and the volatility uniformity threshold value; obtaining an adjustment amplitude weight based on the first amplitude weight and the second amplitude weight; obtaining the adjustment amplitude based on the first adjustment amplitude, the second adjustment amplitude and the adjustment amplitude weight; adjusting the current moxibustion control scheme based on the adjustment amplitude to obtain a moxibustion constant-temperature dynamic control scheme and performing moxibustion constant-temperature dynamic control; obtaining a control temperature consistency parameter and a control volatility uniformity parameter after moxibustion constant-temperature dynamic control; when the control temperature consistency parameter exceeds the temperature consistency threshold value or the control volatility uniformity parameter exceeds the volatility uniformity threshold value, obtaining a control zoned temperature gradient and a control zoned volatility gradient and iteratively optimizing the moxibustion constant-temperature dynamic control scheme.

[0038] In the embodiments of the present application, a current moxibustion control scheme is obtained. Exemplarily, the current moxibustion control scheme can be that the heating power is 40 W and the single-acting time length is 15 min.

[0039] obtaining an adjustment amplitude based on the zoned temperature gradient and the zoned volatility gradient;

[0040] Specifically, first, it is judged whether the temperature consistency parameter exceeds the temperature consistency threshold, and whether the evaporation uniformity parameter exceeds the evaporation uniformity threshold. The temperature consistency threshold and the evaporation uniformity threshold are thresholds reflecting the moxibustion effect, and the temperature consistency threshold can be set to 1°C and the evaporation uniformity threshold can be set to 0.1 mg / s, for example. The current temperature consistency parameter is 1.2°C, and it is judged to be "exceeded". The current evaporation uniformity parameter is 0.08 mg / s, and it is judged to be "not exceeded".

[0041] Further, when the temperature consistency parameter exceeds the temperature consistency threshold, a first adjustment amplitude is obtained based on the zoned temperature gradient, wherein the adjustment amplitude includes a power adjustment amplitude and a time length adjustment amplitude. Specifically, the power adjustment amplitude = average zoned temperature gradient x power adjustment coefficient; the time length adjustment amplitude = average zoned temperature gradient x time length adjustment coefficient. For example, the average zoned temperature gradient is 2.5°C / cm, the power adjustment coefficient is 0.5 W / (°C / cm), and the time length adjustment coefficient is 0.2 min / (°C / cm). The calculated power adjustment amplitude in the first adjustment amplitude is 1.25 W, and the time length adjustment amplitude is 0.5 min. The power adjustment coefficient and the time length adjustment coefficient are unit values for adjusting the power and the time length based on the temperature gradient, and the specific positive and negative values are determined based on the current situation. For example, when the temperature consistency parameter exceeds the temperature consistency threshold, it indicates that the current temperature is not uniform, so the power can be appropriately reduced and the time length can be increased. Therefore, the actual power adjustment is to reduce 1.25 W, and the time length is increased by 0.5 min.

[0042] Further, when the evaporation uniformity parameter exceeds the evaporation uniformity threshold, a second adjustment amplitude is obtained based on the zoned temperature gradient, wherein the adjustment amplitude includes a power adjustment amplitude and a time length adjustment amplitude. Specifically, the power adjustment amplitude = average zoned evaporation rate gradient x power adjustment coefficient; the time length adjustment amplitude = average zoned evaporation rate gradient x time length adjustment coefficient. For example, the average zoned evaporation rate gradient is 2.5 mg / s·cm, but the power adjustment coefficient for evaporation uniformity is 0.3 W / (mg / s·cm), and the time length adjustment coefficient is 0.1 min / (mg / s·cm). The calculated power adjustment amplitude in the second adjustment amplitude is 0.75 W, and the time length adjustment amplitude is 0.25 min. The power adjustment coefficient and the time length adjustment coefficient are unit values for adjusting the power and the time length based on the evaporation rate gradient, and the specific positive and negative values are determined based on the current situation. For example, when the evaporation uniformity parameter exceeds the evaporation uniformity threshold, it indicates that the current evaporation rate is not uniform, so the power can be appropriately increased and the time length can be increased. Therefore, the actual power adjustment is to increase 0.75 W, and the time length is increased by 0.25 min.

[0043] Further, based on the temperature consistency parameter, the temperature consistency threshold and the skin flatness, a first amplitude weight is obtained. Specifically, first, the ratio of the temperature consistency parameter and the temperature consistency threshold is calculated, then the average of all partition skin flatness is calculated, and finally the two values are normalized and the arithmetic average is calculated to obtain the first amplitude weight. The calculation formula can be simplified as: the first amplitude weight = [(|temperature consistency parameter-temperature consistency threshold| ÷ temperature consistency threshold) + (skin flatness ÷ average skin flatness)] ÷ 2. For example, the temperature consistency parameter is 1.2, the temperature consistency threshold is 1, the skin flatness is 0.8, and the average skin flatness is 1, then the first amplitude weight = [(|1.2-1| ÷ 1) + (0.8 ÷ 1)] ÷ 2 = 0.5.

[0044] Further, based on the evaporation uniformity parameter and the evaporation uniformity threshold, a second amplitude weight is obtained. Specifically, the second amplitude weight = [|evaporation uniformity parameter-evaporation uniformity threshold| ÷ evaporation uniformity threshold], for example, the evaporation uniformity parameter is 0.08 mg / s, the evaporation uniformity threshold is 0.1 mg / s, then the second amplitude weight = [|0.08-0.1| ÷ 0.1] = 0.2.

[0045] Based on the first amplitude weight and the second amplitude weight, an adjustment amplitude weight is obtained. Specifically, based on the first amplitude weight, a first evaporation weight is obtained, the first evaporation weight = 1-first amplitude weight = 1-0.5 = 0.5. Based on the second amplitude weight, a second temperature weight is obtained, the second temperature weight = 1-second amplitude weight = 1-0.2 = 0.8. Then the temperature adjustment amplitude weight = (first amplitude weight + second temperature weight) ÷ 2 = (0.5 + 0.8) ÷ 2 = 0.65, and the evaporation rate adjustment amplitude weight = (second amplitude weight + first evaporation weight) ÷ 2 = (0.2 + 0.5) ÷ 2 = 0.35.

[0046] Based on the first adjustment amplitude, the second adjustment amplitude and the adjustment amplitude weight, an adjustment amplitude is obtained. The adjustment amplitude = temperature adjustment amplitude weight × first adjustment amplitude + evaporation adjustment amplitude weight × second adjustment amplitude. For example, the power adjustment amplitude in the first adjustment amplitude is-1.25 W, the time length adjustment amplitude is 0.5 min, the temperature adjustment amplitude weight is 0.65, the power adjustment amplitude in the second adjustment amplitude is 0.75 W, the time length adjustment amplitude is 0.25 min, and the evaporation adjustment amplitude weight is 0.35, then the final power adjustment amplitude =-1.25 × 0.65 + 0.75 × 0.35 =-0.55, and the time length adjustment amplitude = 0.5 × 0.65 + 0.25 × 0.35 = 0.41. That is, the power is reduced by 0.55 W, and the time length is increased by 0.41 min.

[0047] Based on the adjustment amplitude, the current moxibustion control scheme is adjusted to obtain a moxibustion constant-temperature dynamic control scheme, and moxibustion constant-temperature dynamic control is performed. The current moxibustion control scheme is that the heating power is 40 W, the single action duration is 15 min, the adjustment amplitude is that the power is reduced by 0.55 W and the duration is increased by 0.41 min, and then the moxibustion constant-temperature dynamic control scheme is that the power is 40-0.55=39.45 W and the single action duration is 15+0.41=15.41 min. The moxibustion constant-temperature dynamic control scheme is used to perform moxibustion constant-temperature dynamic control.

[0048] Further, the method provided in the embodiment of the application further comprises: using the same method as in step S30 to obtain the control temperature consistency parameter and the control volatilization uniformity parameter after moxibustion constant-temperature dynamic control.

[0049] When the control temperature consistency parameter exceeds the temperature consistency threshold or the control volatilization uniformity parameter exceeds the volatilization uniformity threshold, the control subzone temperature gradient and the control subzone volatilization rate gradient are obtained, and the moxibustion constant-temperature dynamic control scheme is iteratively optimized.

[0050] By dynamically generating and executing the control scheme based on the two global consistency parameters, the closed-loop intelligentization and dynamic optimization of moxibustion constant-temperature control are finally realized. The method provided in the application can intelligently judge the deficiencies of the current control scheme according to the real-time feedback of the temperature consistency parameter and the volatilization uniformity parameter, and generate a targeted adjustment strategy such as adjusting the power and the action duration, thereby actively and prospectively improving the overall moxibustion effect.

[0051] Embodiment two, as shown in Figure 2 based on the same inventive concept of the moxibustion constant-temperature dynamic control method based on multi-modal data fusion provided in embodiment one, the embodiment of the application further provides a moxibustion constant-temperature dynamic control device based on multi-modal data fusion, comprising: a skin state acquisition module 100, configured to acquire a skin temperature distribution and a drug volatilization distribution; a state distribution acquisition module 200, configured to acquire a skin subzone, and acquire a skin state distribution based on the skin subzone, the skin temperature distribution and the drug volatilization distribution; a consistency analysis module 300, configured to acquire a temperature consistency parameter and a volatilization uniformity parameter based on the skin state distribution; a control scheme acquisition module 400, configured to acquire a moxibustion constant-temperature dynamic control scheme based on the temperature consistency parameter and the volatilization uniformity parameter, and perform moxibustion constant-temperature dynamic control.

[0052] In one embodiment, the state distribution acquisition module 200 is further configured to: acquire a skin subzone scale based on a moxibustion pot size parameter; Based on the skin partition scale, a skin partition is obtained, and a skin flatness of the skin partition is obtained; The skin temperature distribution is mapped to the skin partition, and a partition average temperature and a partition temperature gradient are obtained; The drug volatilization distribution is mapped to the skin partition, and a partition average volatilization rate and a partition volatilization rate gradient are obtained; Based on the partition average temperature, the partition temperature gradient, the partition average volatilization rate, and the partition volatilization rate gradient, a skin state distribution is obtained.

[0053] In one embodiment, the consistency analysis module 300 is further configured to: An arithmetic mean of all partition average temperatures is calculated as a global temperature; A deviation of the partition average temperature of all the skin partitions from the global temperature is calculated to obtain a temperature consistency parameter; An arithmetic mean of all partition average volatilization rates is calculated as a global volatilization rate; A deviation of the partition average volatilization rate of all the skin partitions from the global volatilization rate is calculated to obtain a volatilization uniformity parameter.

[0054] In one embodiment, the control scheme obtaining module 400 is further configured to: A current moxibustion control scheme is obtained; Based on the partition temperature gradient and the partition volatilization rate gradient, an adjustment amplitude is obtained; Wherein, based on the partition temperature gradient and the partition volatilization rate gradient, the adjustment amplitude is obtained, comprising: It is judged whether the temperature consistency parameter exceeds a temperature consistency threshold value, and whether the volatilization uniformity parameter exceeds a volatilization uniformity threshold value; When the temperature consistency parameter exceeds the temperature consistency threshold value, a first adjustment amplitude is obtained based on the partition temperature gradient, wherein the adjustment amplitude includes a power adjustment amplitude and a time length adjustment amplitude; When the volatilization uniformity parameter exceeds the volatilization uniformity threshold value, a second adjustment amplitude is obtained based on the partition temperature gradient, wherein the adjustment amplitude includes a power adjustment amplitude and a time length adjustment amplitude; Based on the temperature consistency parameter, the temperature consistency threshold value, and the skin flatness, a first amplitude weight is obtained; Based on the volatilization uniformity parameter and the volatilization uniformity threshold value, a second amplitude weight is obtained; Based on the first amplitude weight and the second amplitude weight, an adjustment amplitude weight is obtained; Based on the first adjustment amplitude, the second adjustment amplitude, and the adjustment amplitude weight, the adjustment amplitude is obtained; based on the adjustment amplitude, adjusting the current moxibustion control scheme to obtain the moxibustion constant-temperature dynamic control scheme, and performing moxibustion constant-temperature dynamic control; obtaining the control temperature consistency parameter and the control volatile uniformity parameter after the moxibustion constant-temperature dynamic control; When the control temperature consistency parameter exceeds the temperature consistency threshold or the control volatile uniformity parameter exceeds the volatile uniformity threshold, obtaining the control subzone temperature gradient and the control subzone volatile rate gradient, and iteratively optimizing the moxibustion constant-temperature dynamic control scheme.

[0055] In summary, the embodiments of the present application have at least the following technical effects: The present application proposes a moxibustion constant-temperature dynamic control method and device based on multi-modal data fusion, which integrates and analyzes multi-modal data such as skin temperature distribution and drug volatile distribution, and dynamically generates an optimized control scheme combined with skin subzone characteristics, significantly improving the accuracy of temperature control and the uniformity of drug volatilization during moxibustion treatment. Specifically, by obtaining skin subzones and calculating skin state distribution, local differences and overall state of the moxibustion area can be more finely perceived, thereby providing a reliable basis for subsequent control; based on the temperature consistency parameter and the volatile uniformity parameter further extracted from the skin state distribution, the balance degree of the current moxibustion can be quantitatively represented, and the optimization target is clear; finally, based on these parameters, the control scheme is dynamically generated and iteratively optimized, achieving the technical effect of self-adaptive adjustment of moxibustion power and action time according to real-time skin state. Compared with traditional methods, the technical solution provided by the present application significantly overcomes the problems of local overheating or insufficient temperature, uneven drug penetration, etc. caused by single-point monitoring and static control, achieves stable and consistent temperature field during the entire moxibustion process, and promotes the uniform absorption of effective components of moxibustion drugs, thereby improving the intelligent level of moxibustion equipment and user experience.

[0056] It should be noted that the above sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. Moreover, the above describes specific embodiments of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0057] The above only describes the preferred embodiments of the present application and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0058] The specification and drawings are, of course, to be regarded in an illustrative rather than a restrictive sense. It is to be understood that any such modifications, variations, combinations or equivalents that fall within the scope of the application are intended to be embraced herein.

Claims

1. A moxibustion constant temperature dynamic control method of multi-modal data fusion, characterized in that, The method comprises: obtaining a skin temperature distribution and a drug volatilization distribution; obtaining a skin partition and, based on the skin partition, the skin temperature distribution and the drug volatilization distribution, obtaining a skin state distribution; based on the skin state distribution, obtaining a temperature consistency parameter and a volatilization uniformity parameter; based on the temperature consistency parameter and the volatilization uniformity parameter, obtaining a moxibustion constant-temperature dynamic control scheme to perform moxibustion constant-temperature dynamic control.

2. The moxibustion constant temperature dynamic control method of multi-modal data fusion according to claim 1, characterized in that, Obtaining a skin partition comprises: based on the moxibustion pot size parameter, obtaining a skin partition scale; based on the skin partition scale, obtaining a skin partition and obtaining the skin flatness of the skin partition.

3. The moxibustion thermostatic dynamic control method of multi-modal data fusion according to claim 1, characterized in that, Based on the skin partition, the skin temperature distribution and the drug volatilization distribution, obtaining a skin state distribution comprises: mapping the skin temperature distribution to the skin partition to obtain a partition average temperature and a partition temperature gradient; mapping the drug volatilization distribution to the skin partition to obtain a partition average volatilization rate and a partition volatilization rate gradient; based on the partition average temperature, the partition temperature gradient, the partition average volatilization rate and the partition volatilization rate gradient, obtaining a skin state distribution.

4. The moxibustion constant temperature dynamic control method of multi-modal data fusion according to claim 1, characterized in that, Based on the skin state distribution, obtaining a temperature consistency parameter and a volatilization uniformity parameter comprises: calculating the arithmetic mean of all partition average temperatures as a global temperature; calculating the deviation of the partition average temperature of all the skin partitions from the global temperature to obtain a temperature consistency parameter; calculating the arithmetic mean of all partition average volatilization rates as a global volatilization rate; calculating the deviation of the partition average volatilization rate of all the skin partitions from the global volatilization rate to obtain a volatilization uniformity parameter.

5. The moxibustion thermostatic dynamic control method of multi-modal data fusion according to claim 1, characterized in that, Based on the temperature consistency parameter and the volatilization uniformity parameter, obtaining a moxibustion constant-temperature dynamic control scheme to perform moxibustion constant-temperature dynamic control comprises: obtaining a current moxibustion control scheme; based on the partition temperature gradient and the partition volatilization rate gradient, obtaining an adjustment amplitude; based on the adjustment amplitude, adjusting the current moxibustion control scheme to obtain the moxibustion constant-temperature dynamic control scheme to perform moxibustion constant-temperature dynamic control.

6. The moxibustion thermostatic dynamic control method of multi-modal data fusion according to claim 5, characterized in that, Based on the partition temperature gradient and the partition volatilization rate gradient, obtaining an adjustment amplitude comprises: determining whether the temperature consistency parameter exceeds a temperature consistency threshold value and determining whether the volatilization uniformity parameter exceeds a volatilization uniformity threshold value; when the temperature consistency parameter exceeds the temperature consistency threshold value, based on the partition temperature gradient, obtaining a first adjustment amplitude, wherein the adjustment amplitude comprises a power adjustment amplitude and a time length adjustment amplitude; when the volatilization uniformity parameter exceeds the volatilization uniformity threshold value, based on the partition temperature gradient, obtaining a second adjustment amplitude, wherein the adjustment amplitude comprises a power adjustment amplitude and a time length adjustment amplitude; based on the temperature consistency parameter, the temperature consistency threshold value and the skin flatness, obtaining a first amplitude weight; based on the volatilization uniformity parameter and the volatilization uniformity threshold value, obtaining a second amplitude weight; based on the first amplitude weight and the second amplitude weight, obtaining an adjustment amplitude weight; based on the first adjustment amplitude, the second adjustment amplitude and the adjustment amplitude weight, obtaining the adjustment amplitude.

7. The moxibustion thermostatic dynamic control method of multi-modal data fusion according to claim 5, characterized in that, Based on the adjustment amplitude, the current moxibustion control scheme is adjusted to obtain the moxibustion constant-temperature dynamic control scheme for moxibustion constant-temperature dynamic control, and the method further comprises the steps of: obtaining the control temperature consistency parameter and the control volatile uniformity parameter after the moxibustion constant-temperature dynamic control; when the control temperature consistency parameter exceeds the temperature consistency threshold or the control volatile uniformity parameter exceeds the volatile uniformity threshold, obtaining the control partition temperature gradient and the control partition volatile rate gradient, and iteratively optimizing the moxibustion constant-temperature dynamic control scheme.

8. A moxibustion constant temperature dynamic control device of multi-modal data fusion, characterized in that, The device for implementing the method of any one of claims 1-7 comprises: a skin state acquisition module for acquiring a skin temperature distribution and a drug volatile distribution; a state distribution acquisition module for acquiring a skin partition and acquiring a skin state distribution based on the skin partition, the skin temperature distribution and the drug volatile distribution; a consistency analysis module for acquiring a temperature consistency parameter and a volatile uniformity parameter based on the skin state distribution; a control scheme acquisition module for acquiring a moxibustion constant-temperature dynamic control scheme based on the temperature consistency parameter and the volatile uniformity parameter for moxibustion constant-temperature dynamic control.

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