Medical beauty treatment device with LED light source and body beauty treatment system based on phototherapy

Abstract

The invention belongs to the technical field of optical beauty, and discloses a medical beauty device with an LED light source and a body beauty system based on phototherapy, and the method comprises the steps: collecting multi-source data for fusion, and generating a skin health map through an ICP registration algorithm; based on the skin health map, segmenting a high-tolerance area and a blood vessel dense area; distributing laser wavelength, energy density and cooling parameters for each area; the dynamic thresholds are adjusted in real time in a self-adaptive mode through the dynamic thresholds; determining and dividing risk grades through multi-parameter fusion, triggering a grading response mechanism, and generating dynamic energy configuration parameters and a safety control strategy; based on the three-dimensional point cloud coordinates and spatial constraint conditions, dynamically adjusting laser path planning through a path re-planning algorithm, and generating a phototherapy execution log; generating a curative effect evaluation report based on the phototherapy execution log, and constructing a photoaging risk map; and updating the energy rule base through a reinforcement learning algorithm, and determining parameters of a threshold value and a weight coefficient of a registration algorithm to form closed-loop optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of skin treatment and photoelectric cosmetic technology, more particularly, the present application relates to a medical cosmetic device with LED light source and a body cosmetic system based on phototherapy. BACKGROUND

[0002] Phototherapy technology (such as red light, blue light, infrared light, etc.) has shown significant application value in the field of skin beauty due to its ability to improve skin condition, promote collagen synthesis, and relieve inflammation. With the increasing demand for beauty, phototherapy is widely used in anti-aging, acne treatment, and pigment repair. However, the current clinical application of phototherapy technology still relies on traditional equipment and fixed operation mode, which cannot meet the needs of individualization and precision treatment, resulting in limited treatment effect and safety hazards.

[0003] Traditional phototherapy equipment and methods have multiple defects: first, their parameter settings (such as wavelength, intensity, and irradiation time) are highly dependent on preset values and cannot be dynamically adjusted according to individual skin types and treatment area differences (such as sensitive skin, acne, and color spots), resulting in uneven treatment effects or side effects (such as redness and burns); second, the equipment lacks real-time monitoring and intelligent feedback mechanisms, relying on manual observation or simple sensors (such as thermometers) for rough monitoring, which cannot capture deep biological feature changes (such as blood oxygen and water loss) and easily cause over-treatment or under-treatment; third, existing systems mostly use manual single-area irradiation, which is inefficient and prone to missed treatment areas, and do not systematically analyze treatment data, making it difficult to optimize subsequent treatment courses and severely hindering the intelligent and precise development of phototherapy technology. SUMMARY

[0004] To overcome the above-mentioned defects of the prior art, in order to achieve the above-mentioned purposes, the present application provides the following technical solutions: a body cosmetic system based on phototherapy, comprising:

[0005] Multi-modal scanning and three-dimensional skin modeling unit: collect OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates, and spectral metabolic parameters of skin structure, fuse and generate skin health atlas through ICP registration algorithm;

[0006] Dynamic energy planning and safety control unit: based on the skin health atlas, divide the high tolerance area and the blood vessel dense area through morphological closing operation; call the preset energy rule library to assign laser wavelength, energy density, and cooling parameters for each area; adjust the temperature dynamic threshold, erythema index dynamic threshold, and impedance change rate dynamic threshold in real time through dynamic threshold self-adaptive algorithm; determine the risk level through multi-parameter fusion and trigger the graded response mechanism to generate dynamic energy configuration parameters and safety control strategy;

[0007] Multi-modal energy synergistic phototherapy and real-time optimization unit: according to the dynamic energy configuration parameters, the skin surface is preheated by area according to the stratum corneum thickness, and the preheating time is prolonged according to the structural defect mark; based on three-dimensional point cloud coordinates and spatial constraint conditions, the laser path planning is dynamically adjusted through the path re-planning algorithm, and the phototherapy execution log is generated;

[0008] Adaptive closed-loop optimization unit: based on the phototherapy execution log, a curative effect evaluation report is generated, historical phototherapy data is combined to construct a photoaging risk map; energy attenuation strategy is implemented on high-risk areas, and energy density enhancement strategy is enabled on reinforced areas; through the reinforcement learning algorithm, the energy rule library, the parameters of the judgment threshold and the weight coefficient of the registration algorithm are updated, forming a closed-loop optimization.

[0009] Further, the collection method of the OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters of the skin structure includes:

[0010] The fixed OCT module and the movable spectral probe carried by the mechanical arm are coupled by optical fiber to form a split scanning system;

[0011] Based on the split scanning system, the OCT module uses a swept light source, transmits near-infrared light to the probe through an optical fiber, penetrates the skin surface to the deep tissue, generates high-resolution skin layered images, captures the stratum corneum thickness, the structure of the epidermis-dermis junction and the subcutaneous vascular network distribution, and obtains the OCT data;

[0012] The thermal imaging camera is carried by the mechanical arm probe to monitor and collect the thermal imaging temperature distribution of the skin epidermis in real time;

[0013] The ToF camera emits invisible light pulses synchronously driven, and generates three-dimensional point cloud coordinate data of the whole body through time-of-flight calculation;

[0014] The near-infrared spectrometer is built-in the mechanical arm probe, which collects the reflected spectrum penetrating the skin epidermis, analyzes the characteristic absorption peak to obtain the hemoglobin concentration distribution, water content distribution and melanin distribution, and obtains the spectral metabolic parameters;

[0015] During the data collection process, the annular polarized light source and the rotating polarizer work cooperatively to dynamically adjust the polarization direction and eliminate the surface reflection interference of the skin epidermis; and the data collection frequencies of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera are synchronized through the hardware timing controller.

[0016] Further, the method of fusing and generating the skin health map containing the stratum corneum thickness, microcirculation state and structural defect mark through the ICP registration algorithm includes:

[0017] Based on the collected OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, the parameters of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera are calibrated through a calibration plate to align the local coordinates of the OCT, the pixel coordinates of the thermal imaging and the global coordinate system of the three-dimensional point cloud;

[0018] The stratum corneum thickness and subcutaneous blood vessel network distribution of the OCT data are matched with the three-dimensional point cloud coordinates layer by layer by using an ICP registration algorithm, and spatial registration is performed by minimizing the distance error between the three-dimensional point cloud and the OCT surface.

[0019] For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health atlas as a skin health atlas.

[0020] The multi-parameter fusion and feature extraction include structural parameter integration, metabolic parameter integration and structural defect analysis; the three-dimensional health atlas includes a structure layer, a metabolism layer and a defect layer.

[0021] The structural parameter integration is: the stratum corneum thickness is subjected to gray threshold segmentation to generate a stratum corneum thickness distribution map; the blood vessel dense area is marked by combining the subcutaneous blood vessel network distribution with the hemoglobin concentration distribution in the spectral metabolic parameters through an image processing tool.

[0022] The metabolic parameter integration is: the thermal imaging temperature distribution and the hemoglobin concentration distribution are superimposed to generate a metabolic activity thermal map.

[0023] The structural defect analysis is: based on the curvature calculation of the three-dimensional point cloud coordinates, the skin depression or wrinkle area is located; the pigmentation or spot area is marked through the melanin distribution in the spectral metabolic parameters.

[0024] The topographic features of the three-dimensional point cloud coordinates are extracted, and the stratum corneum thickness distribution and the epidermis-dermis junction structure of the OCT data are integrated as the structure layer of the three-dimensional health atlas.

[0025] The thermal imaging temperature distribution and the hemoglobin concentration distribution in the spectral metabolic parameters are fused to generate a microcirculation state thermal map and a temperature gradient abnormal area marker as the metabolism layer of the three-dimensional health atlas.

[0026] Based on the skin depression or wrinkle area of the three-dimensional point cloud coordinates and the pigmentation or spot area of the spectral metabolic parameters, a structural defect marker is generated as the defect layer of the three-dimensional health atlas.

[0027] Further, the generation mode of the dynamic energy configuration parameter and the safety control strategy includes:

[0028] Based on the skin health atlas, a blood vessel distribution map is extracted from the subcutaneous blood vessel network distribution, and the blood vessel distribution map and the stratum corneum thickness map are binarized to generate a preliminary blood vessel region mask and a stratum corneum thickness mask, wherein the blood vessel region mask includes a blood vessel dense area and a non-blood vessel dense area, and the stratum corneum thickness mask includes a thick stratum corneum area and a thin stratum corneum area;

[0029] The blood vessel region mask is processed by morphological closing operation to form a continuous blood vessel region marker and retain the boundary integrity of the non-blood vessel dense area;

[0030] The thick stratum corneum area in the stratum corneum thickness mask is operated by morphological closing operation;

[0031] The thick stratum corneum area and the non-blood vessel dense area are extracted from the thick stratum corneum area and the blood vessel distribution map after the closing operation, and are marked as a high tolerance area;

[0032] A preset energy rule library is called to assign an initial laser wavelength and energy density to the high tolerance area and the non-high tolerance area;

[0033] The FPGA hardware synchronizes each sensor channel to synchronously collect the reflectance spectrum, impedance and epidermal temperature of all areas of the skin surface, and to monitor key parameters in real time, including the erythema index and the microcirculation speed;

[0034] Based on the real-time collected reflectance spectrum, impedance, epidermal temperature and key parameters, a dynamic energy configuration parameter and a safety control strategy are generated through dynamic threshold self-adaptation, multi-parameter fusion judgment and hierarchical response mechanism;

[0035] The dynamic energy configuration parameter includes the laser wavelength, the energy density and the energy transfer ratio, and the safety control strategy is the corresponding response measure in the hierarchical response mechanism.

[0036] Further, the dynamic threshold self-adaptation mode includes:

[0037] The hemoglobin oxygenation state is calculated from the reflectance spectrum as the erythema index, and the temperature gradient and the impedance change rate are obtained from the epidermal temperature and the impedance, and then the erythema index, the temperature gradient and the impedance change rate are normalized;

[0038] The current environmental parameters include the environmental temperature and the environmental humidity;

[0039] According to the skin health atlas, the temperature gradient, the impedance change rate, the erythema index, and the environmental temperature and the environmental humidity, the basic safety temperature threshold, the erythema index threshold and the impedance change rate threshold are set, the threshold adjustment factor suitable for the current phototherapy condition is calculated, and the dynamic threshold is adjusted and generated according to the threshold adjustment factor;

[0040] The adjustment factors include a stratum corneum tolerance factor, a blood vessel risk factor, and an environmental compensation factor;

[0041] The stratum corneum tolerance factor is defined as proportionally adjusting the safety temperature threshold of the region if the region is detected as a thin stratum corneum region;

[0042] The blood vessel risk factor is defined as proportionally adjusting the erythema index threshold if the hemoglobin concentration in the region exceeds a preset hemoglobin concentration threshold;

[0043] The environmental compensation factor includes an environmental temperature compensation factor and an environmental humidity compensation factor, and the environmental temperature compensation factor is defined as proportionally reducing the safety temperature threshold if the environmental temperature is greater than a preset environmental temperature threshold;

[0044] The environmental humidity compensation factor is defined as proportionally increasing the impedance change rate threshold if the environmental humidity is lower than a preset environmental humidity threshold;

[0045] The temperature dynamic threshold is generated by adjusting the basic safety temperature threshold in combination with the stratum corneum tolerance factor and the environmental temperature compensation factor;

[0046] The erythema index dynamic threshold is generated by adjusting the basic erythema index threshold in combination with the blood vessel risk factor, taking the number of times that the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during the phototherapy process as the historical alarm times;

[0047] The impedance dynamic threshold is generated by adjusting the allowed range of the impedance change rate according to the environmental humidity compensation factor based on the basic impedance change rate threshold.

[0048] Further, the multi-parameter fusion determination method includes:

[0049] According to the temperature dynamic threshold, the erythema index dynamic threshold, and the impedance dynamic threshold, the difference between the current value of the parameter corresponding to each dynamic threshold and the dynamic threshold is standardized to calculate the temperature deviation, the erythema index deviation, and the impedance deviation, respectively;

[0050] The temperature deviation, the erythema index deviation, and the impedance deviation are weighted and summed to obtain a comprehensive risk value, and the risk level is divided according to the comprehensive risk value, including low risk, medium risk, and high risk.

[0051] Further, the hierarchical response mechanism includes a first-level response, a second-level response, and a third-level response;

[0052] According to the temperature dynamic threshold, the erythema index dynamic threshold, and the impedance dynamic threshold of each region and the risk level, if the epidermal temperature of the current region is greater than the temperature dynamic threshold, the first-level response is triggered;

[0053] The response measure of the first-level response is defined as immediate energy cut-off and forced cooling, and the immediate energy cut-off is to turn off the laser output of the current area;

[0054] The forced cooling includes mild over-temperature cooling, moderate over-temperature cooling and severe over-temperature cooling, an over-temperature proportion interval is set, based on the fact that the skin temperature is greater than the temperature dynamic threshold, the over-temperature proportion is taken as the proportion of the difference between the skin temperature and the temperature dynamic threshold to the temperature dynamic threshold, if the over-temperature proportion is less than the minimum value of the over-temperature proportion interval, it is determined that the mild over-temperature occurs, and the mild over-temperature cooling is triggered;

[0055] If the over-temperature proportion is greater than or equal to the minimum value of the over-temperature proportion interval and less than the maximum value of the over-temperature proportion interval, it is determined that the moderate over-temperature occurs, and the moderate over-temperature cooling is triggered;

[0056] If the over-temperature proportion is greater than or equal to the maximum value of the over-temperature proportion interval, it is determined that the severe over-temperature occurs, and the severe over-temperature cooling is triggered;

[0057] If the erythema index of the current area exceeds the erythema index dynamic threshold, or the risk level is the medium risk, the second-level response is triggered;

[0058] The response measure of the second-level response is defined as energy density reduction, length increase of laser wavelength, cross-area energy transfer and local cooling, the cross-area energy transfer is to select a neighboring low-response area through a path planning algorithm, and to transfer the energy of the current area to the low-response area in proportion; wherein the neighboring low-response area is a thick stratum corneum area without structural defect marks and in the same phototherapy area; the local cooling is to start the mild over-temperature cooling for the current area;

[0059] If the risk level of the current area is the high risk, or more than or equal to two of the skin temperature, the erythema index and the impedance change rate are greater than the corresponding dynamic threshold, the third-level response is triggered;

[0060] The response measure of the third-level response is defined as immediate global suspension of phototherapy, locking of device operation, forced manual intervention, automatic generation of a risk report containing real-time skin temperature, erythema index, impedance change rate data, comprehensive risk value change curve and historical adjustment record of dynamic threshold, and sending of the risk report to an operator.

[0061] Further, the generation mode of the phototherapy execution log comprises:

[0062] According to the skin health map and the dynamic energy configuration parameters, based on the structural layer in the skin health map, a first preheating power, a second preheating power and a preheating time length proportion are set;

[0063] For the thick stratum corneum area, the radio frequency preheating power is adjusted to a first preheating power, and for the thin stratum corneum area, the radio frequency preheating power is adjusted to a second preheating power; when a structural defect marker is detected in the area, the preheating time is increased by a preheating time length ratio based on the standard preheating time; and then a radio frequency preheating power distribution map is generated, and each area power and preheating time length are marked in the radio frequency preheating distribution map;

[0064] According to the metabolic layer in the skin health atlas, an initial energy density is assigned to a high tolerance area, and a preset degraded energy density is used in combination with a contact cooling strategy to assign an energy density to a blood vessel dense area, and then a laser energy density assignment matrix is generated, and the irradiation position is defined in association with the three-dimensional point cloud coordinates;

[0065] The spatial constraint condition is defined as avoiding the structural defect marker area, the blood vessel dense area and the area where the epidermis temperature exceeds the temperature dynamic threshold, and the thick stratum corneum area is preferentially selected as an alternative path;

[0066] Based on the laser energy density matrix and the safety control strategy, an initial laser path coordinate set is generated through a path planning algorithm;

[0067] When the laser path is about to enter the blood vessel dense area or the real-time monitoring epidermis temperature exceeds the temperature dynamic threshold, a path re-planning algorithm is triggered, and an updated laser path coordinate set is generated through the spatial constraint condition;

[0068] According to the radio frequency preheating power distribution map, the area performance energy is loaded, and after completion, the laser irradiation is activated according to the path coordinate set, the actual energy deposition amount, the epidermis temperature change and the triggered hierarchical response mechanism are recorded synchronously, and a phototherapy execution log is generated.

[0069] Further, the closed-loop optimization forming manner comprises:

[0070] Based on the defect layer of the skin health atlas, the current metabolic indicators, including the elastin content, the degree of pigmentation and the hemoglobin concentration, are collected through a spectral detection device;

[0071] Based on the skin health atlas, the phototherapy execution log and the metabolic indicators, the three-dimensional point cloud coordinates before and after phototherapy are compared, the surface flatness improvement rate of the skin in each area is calculated, the surface flatness improvement rate is associated with the corresponding area data in the laser energy density assignment matrix, and energy density association data is generated;

[0072] The metabolic indicators before and after phototherapy are integrated to form a metabolic indicator change curve;

[0073] The surface flatness improvement rate, the metabolic indicator change curve and the energy density association data are integrated to generate a therapeutic effect evaluation report;

[0074] Based on the efficacy evaluation report and the historical light therapy execution log, if the area surface flatness improvement rate is less than the preset flatness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk area; a preset energy attenuation strategy is triggered for the high-risk area;

[0075] If the area surface flatness improvement rate is greater than or equal to the preset flatness improvement rate threshold, it is marked as a reinforced treatment area; a preset energy density enhancement strategy is enabled for the reinforced area;

[0076] After the patient is subjected to light therapy, the parameters of the decision threshold in the safety control strategy are corrected according to the clinical review results of the patient through a reinforcement learning algorithm, and the energy rule library is updated, the weight coefficients of the ICP registration algorithm are recalibrated, the generation accuracy of the skin health map is optimized, and a data-driven closed-loop optimization is formed.

[0077] Further, a medical cosmetic device with an LED light source, the medical cosmetic device carries a body cosmetic system based on light therapy.

[0078] The technical effects and advantages of the medical cosmetic device and the body cosmetic system based on light therapy of the present application are:

[0079] The present application integrates optical coherence tomography (OCT), thermal imaging, three-dimensional point cloud and spectral metabolic parameters through multi-modal scanning and three-dimensional skin modeling unit, generates high-precision skin health map using ICP registration algorithm, realizes stereoscopic analysis of skin structure, metabolic state and defects, and provides accurate biological feature basis for personalized light therapy;

[0080] Secondly, the dynamic energy planning and safety control unit is based on the skin health map, and through morphological segmentation, energy rule library calling and dynamic threshold algorithm, it allocates differentiated laser parameters (wavelength, energy density, cooling strategy) for different areas, and monitors key indicators such as epidermal temperature and erythema index in real time, combined with hierarchical response mechanism (such as energy adjustment, path re-planning, forced pause), significantly improves the safety boundary and adaptability of treatment;

[0081] Then, the multi-modal energy coordination light therapy unit dynamically adjusts the laser irradiation path through a six-axis mechanical arm and a path planning algorithm, avoids blood vessel dense areas and sensitive areas, ensures the uniformity of light and the integrity of treatment coverage, and solves the problem of unevenness caused by manual operation of traditional equipment. Subsequently, the adaptive closed-loop optimization unit updates the energy rule library, threshold parameters and registration algorithm weights based on the light therapy execution log and the efficacy evaluation report through the reinforcement learning algorithm, forms a data-driven optimization closed loop, reduces the need for manual intervention, and improves the adaptive ability of the system to individual differences through historical data accumulation;

[0082] Finally, the system determines and classifies responses through multi-parameter fusion, upgrades risk control from passive response to active intervention, effectively avoids side effects such as burns and over-treatment, and significantly improves the predictability and long-term efficacy of treatment through structural defect analysis and metabolic index tracking.

[0083] Overall, the present application not only realizes the precise, dynamic and intelligent configuration of phototherapy parameters, but also constructs a whole-process closed-loop system from data acquisition, risk assessment to treatment optimization, and redefines the technical standards of phototherapy beauty in the direction of safety, individualization and intelligence.

[0084] The present application provides a set of beauty device, the beauty device is built-in the control system of the present application, the beauty device belongs to the human body wearable product, the beauty device can be a vest type, also can be a blanket type structure, the beauty device built-in rechargeable battery, can be charged; The beauty device can be made of hard material or made of soft silicone material; When made into a vest type, the cuff part adopts a detachable connection mode, which can be realized by using a zipper or a magic tape. BRIEF DESCRIPTION OF DRAWINGS

[0085] Figure 1 It is a body beauty system based on light therapy of the present application;

[0086] Figure 2 It is a dynamic energy planning and safety control schematic diagram of a body beauty system based on light therapy of the present application;

[0087] Figure 3 It is a body beauty method based on light therapy of the present application;

[0088] Figure 4 It is a schematic diagram of one of the forms of a medical beauty device with LED light source of the present application;

[0089] Figure 5 It is another form of a medical beauty device with LED light source of the present application. DETAILED DESCRIPTION

[0090] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0091] Embodiment one

[0092] Please refer to Figures 1-2As shown, the body beauty system based on light therapy in the embodiment includes:

[0093] Multi-modal scanning and three-dimensional skin modeling unit: collect optical coherence tomography data, thermal imaging temperature distribution and three-dimensional point cloud coordinates of skin structure, and generate skin health atlas through ICP registration algorithm;

[0094] Dynamic energy planning and safety control unit: based on the skin health atlas, divide the high tolerance area and the dense blood vessel area through morphological closing operation; call the preset energy rule library to assign laser wavelength, energy density and cooling parameters for each area; adjust the temperature dynamic threshold, erythema index dynamic threshold and impedance change rate dynamic threshold in real time through dynamic threshold adaptive algorithm; determine the risk level through multi-parameter fusion, and trigger the grading response mechanism to generate dynamic energy configuration parameters and safety control strategy;

[0095] Multi-modal energy collaborative light therapy and real-time optimization unit: according to the dynamic energy configuration parameters, preheat the skin surface according to the thickness of the stratum corneum, and extend the preheating time according to the structural defect mark; based on the three-dimensional point cloud coordinates and the space constraint condition, dynamically adjust the laser path planning through the path re-planning algorithm to generate the light therapy execution log;

[0096] Adaptive closed-loop optimization unit: based on the light therapy execution log, generate the efficacy evaluation report, combine the historical light therapy data to construct the photoaging risk atlas; implement energy attenuation strategy on high-risk areas, and enable energy density enhancement strategy on reinforced areas; update the energy rule library, the parameters of the determination threshold and the weight coefficient of the registration algorithm through the reinforcement learning algorithm to form the closed-loop optimization.

[0097] Deploy the fixed OCT (optical coherence tomography) module and the movable spectrum probe carried by the mechanical arm through optical fiber coupling to form a split scanning system;

[0098] Based on the split scanning system, the OCT module uses a swept source (such as a center wavelength of 1310nm), transmits near-infrared light to the probe through an optical fiber, penetrates the skin surface to the deep tissue (such as 5mm depth), generates high-resolution skin layered images (axial resolution <10μm, lateral resolution <20μm), captures the stratum corneum thickness, epidermis-dermis junction structure and subcutaneous blood vessel network distribution as OCT data;

[0099] Through the mechanical arm probe carrying a thermal imaging camera, the thermal imaging temperature distribution of the skin epidermis is monitored and collected in real time, which is used to evaluate the metabolic activity and microcirculation state of the dense blood vessel area;

[0100] The synchronous driving ToF camera emits invisible light pulses, generates three-dimensional point cloud coordinate data of the whole body through time-of-flight calculation, provides a global spatial coordinate reference, and can locate skin depression or wrinkle areas based on curvature calculation (such as Gaussian curvature analysis) of the three-dimensional point cloud coordinates;

[0101] The built-in near-infrared spectrometer in the mechanical arm probe collects reflected light spectrum (900-1700nm waveband) penetrating the epidermis of the skin, and obtains hemoglobin concentration distribution, water content distribution and melanin distribution (quantified by near-infrared spectrum analysis) through characteristic absorption peak analysis, which are used as spectral metabolic parameters to quantify microcirculation state and metabolic parameters, and the melanin distribution can be used to quantify pigmentation or spot areas;

[0102] During data acquisition, a ring-shaped polarized light source and a rotating polarizer are deployed to work together to dynamically adjust the polarization direction (such as 0°-180° step rotation) to eliminate the surface reflection interference of the epidermis of the skin; and a hardware timing controller (such as FPGA) is used to synchronize the data acquisition frequencies of the OCT module, the thermal imaging camera, the near-infrared spectrometer and the ToF camera, to ensure the spatial and temporal consistency of the multi-modal data;

[0103] Based on the collected OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, the parameters of the OCT module, the thermal imaging camera, the near-infrared spectrometer and the ToF camera are calibrated through a calibration plate to align the local coordinates of the OCT, the pixel coordinates of the thermal imaging and the global coordinate system of the three-dimensional point cloud;

[0104] The ICP registration (iterative closest point) algorithm is used to match the stratum corneum thickness and subcutaneous blood vessel network distribution of the OCT data with the three-dimensional point cloud coordinates layer by layer, and the spatial registration is performed by minimizing the distance error between the three-dimensional point cloud and the OCT surface (sub-millimeter level spatial registration can be achieved);

[0105] For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health atlas as a skin health atlas;

[0106] The multi-parameter fusion and feature extraction includes structural parameter integration, metabolic parameter integration and structural defect analysis; the three-dimensional health atlas includes a structural layer, a metabolic layer and a defect layer;

[0107] The structural parameter integration is to perform gray threshold segmentation on the stratum corneum thickness to generate a stratum corneum thickness distribution map; and the blood vessel dense area is marked through image processing tools (such as ImageJ) based on the combination of the subcutaneous blood vessel network distribution and the hemoglobin concentration distribution in the spectral metabolic parameters;

[0108] An exemplary method is to use the automatic threshold algorithm (such as Otsu method, Isodata method) of image processing tools (such as ImageJ) to calculate the optimal segmentation threshold;

[0109] The marking principle is to select the threshold that maximizes the inter-class variance by counting the image gray histogram, so as to separate the blood vessels from the background;

[0110] The OCT blood vessel network image or the heat map of hemoglobin concentration distribution is grayed, the automatic threshold algorithm of the image processing tool is applied to generate a binary image (the blood vessel region is white and the background is black), and the area ratio or density of the white region in the binary image is counted. The region exceeding the preset proportion (such as >20%) is marked as a "blood vessel dense region";

[0111] The metabolic parameter integration is to superimpose the thermography temperature distribution and the hemoglobin concentration distribution to generate a metabolic activity heat map for evaluating the microcirculation state of the blood vessel dense area;

[0112] The structural defect analysis is to locate the skin depression or wrinkle area based on the curvature calculation (such as Gaussian curvature exceeding a preset threshold) of the three-dimensional point cloud coordinates (the curvature value of the depression or wrinkle area is usually significantly higher or lower than that of the surrounding smooth area by calculating the curvature (such as Gaussian curvature or average curvature) of the three-dimensional point cloud; the curvature distribution map is generated by performing curvature calculation on the three-dimensional point cloud, and the area exceeding the threshold (such as Gaussian curvature >0.5) is marked as a depression or wrinkle); the pigment deposition or spot area is marked by the melanin distribution in the spectral metabolic parameter (the area with high melanin content (such as a spot) has a characteristic absorption peak (such as near 1450nm) in the near-infrared spectrum, and the melanin distribution is quantified by spectral data; the wave band corresponding to melanin (such as 1450nm) in the near-infrared spectral data is extracted, and the area exceeding the threshold (such as 1.2 times the average value) is marked as pigment deposition);

[0113] The topographic features (such as wrinkle depth) of the three-dimensional point cloud coordinates are extracted, and the stratum corneum thickness distribution and the epidermis-dermis junction structure of the OCT data are integrated as the structural layer of the three-dimensional health atlas;

[0114] The hemoglobin concentration distribution in the spectral metabolic parameter is fused with the thermography temperature distribution to generate a microcirculation state heat map (the thermography temperature distribution and the hemoglobin concentration map are superimposed pixel by pixel to generate a heat map) and a temperature gradient abnormal area marking (the temperature gradient of adjacent pixels is calculated, and the area exceeding the threshold (such as >5℃ / mm) is marked as abnormal), which is the metabolic layer of the three-dimensional health atlas;

[0115] The skin depression or wrinkle area based on three-dimensional point cloud coordinates and the pigmentation or spot area of the spectral metabolic parameters are marked as structural defect areas by setting the multimodal fusion rule (such as "curvature anomaly or excessive melanin") based on the curvature data (positioning wrinkles / depressions) and the spectral melanin distribution (positioning spots) of the input three-dimensional point cloud, and a structural defect label is generated as a defect layer of the three-dimensional health atlas;

[0116] It should be noted that the three-dimensional health atlas is an interactive three-dimensional model file (such as STL format), which integrates the metadata labels of OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters as input for subsequent phototherapy planning;

[0117] Based on the skin health atlas, a blood vessel distribution map is extracted from the subcutaneous blood vessel network distribution, and the blood vessel distribution map and the stratum corneum thickness map are binarized to generate a preliminary blood vessel area mask and a stratum corneum thickness mask. The blood vessel area mask includes a blood vessel dense area and a non-blood vessel dense area (the blood vessel distribution map is divided into a blood vessel dense area and a non-blood vessel dense area according to the blood vessel dense area), and the stratum corneum thickness mask includes a thick stratum corneum area and a thin stratum corneum area (such as setting a stratum corneum thickness threshold (set according to industry standards or expert experience, such as >20μm), marking the area less than the stratum corneum thickness threshold in the stratum corneum thickness map as a thin stratum corneum area; marking the area greater than or equal to the stratum corneum thickness threshold in the stratum corneum thickness map as a thick stratum corneum area);

[0118] The blood vessel area mask is processed by morphological closing operation to fill small holes in the blood vessel dense area, form a continuous blood vessel area label, and retain the boundary integrity of the non-blood vessel dense area;

[0119] And the thick stratum corneum area in the stratum corneum thickness mask is operated by morphological closing operation to fill small holes in the thick stratum corneum area;

[0120] An exemplary blood vessel area closing operation process: closing operation on the thick stratum corneum area to strengthen its continuity;

[0121] The structure element selects a larger circular shape (such as a radius of 5-10 pixels) to cover a larger range of the thick stratum corneum area;

[0122] An exemplary thick stratum corneum area closing operation process: inflation (filling small holes inside the blood vessel area) → erosion (restoring boundary smoothness);

[0123] The structure element selects a circular or elliptical structure element (such as a radius of 3-5 pixels) to adapt to the morphology of the blood vessel network; the number of iterations is adjusted according to the size of the hole (such as 1-3 iterations);

[0124] The high-tolerance area is extracted by combining the stratum corneum thickness map and the blood vessel distribution map after the closing operation, and is marked as a high-tolerance area;

[0125] The high-tolerance area is removed by the opening operation to remove residual noise, and the morphological gradient operation is used to enhance the boundary definition. In combination with the structural data and spectral metabolic parameters (such as hemoglobin concentration) of OCT, the segmentation result is further corrected (such as excluding the misjudged blood vessel dense area);

[0126] It should be noted that the stratum corneum thickness and blood vessel distribution are extracted by OCT data, and the static mask of the blood vessel dense area and the high-tolerance area is generated, which provides a spatial basis for energy distribution (such as allowing higher energy density in the high-tolerance area);

[0127] The preset energy rule library is called to assign the initial laser wavelength and energy density to the high-tolerance area and the non-high-tolerance area;

[0128] The preset energy rule library can be set according to the professional experience or industry standard in actual use, such as setting the laser wavelength to 1064nm for deep color, and 532nm for surface blood vessels; The energy density is limited to 5J / m 2 in the non-high-tolerance area, and limited to 10J / m 2 in the high-tolerance area;

[0129] The FPGA hardware synchronizes each sensor channel, and then synchronously collects the reflected spectrum (the spectrum signal reflected after the skin is irradiated by near-infrared light or visible light, which is used to monitor the optical properties (such as melanin, hemoglobin concentration, and water content) of the skin surface), impedance (measured by applying a micro-current through electrodes, reflecting the electrical properties of skin tissue, used to evaluate water content, blood vessel state or tissue damage), and epidermal temperature (obtained by the output signal of a thermocouple, thermal imaging sensor or infrared temperature sensor, with an accuracy of ±0.1℃, used to monitor the skin surface temperature in real time to prevent overheating or low-temperature damage), and real-time monitoring of key parameters, including erythema index (quantified by spectrometer analysis) and microcirculation speed (calculated by hemoglobin concentration change rate);

[0130] It should be noted that the FPGA hardware controls the synchronization of each sensor channel to ensure that the reflected tube, impedance, and temperature three types of data are completely aligned in time (with an accuracy of nanoseconds), and all sensors are triggered to sample by a unified FPGA clock source, eliminating clock drift. The FPGA sends a unified sampling trigger pulse to control each sensor to start collecting at the same time point, and each data packet collected is marked with an FPGA clock count accurate to nanoseconds, ensuring timestamp consistency;

[0131] Combining spectroscopic metabolic parameters (hemoglobin concentration, melanin distribution) and thermal imaging temperature distribution, the active microcirculation area is marked, which can avoid excessive stimulation of blood vessel dense area and reduce the risk of erythema;

[0132] Based on real-time collected reflectance spectrum, impedance, epidermal temperature and key parameters, through dynamic threshold self-adaptation, multi-parameter fusion judgment and hierarchical response mechanism, dynamic energy configuration parameters and safety control strategies are generated;

[0133] Dynamic energy configuration parameters include laser wavelength (such as 532nm→650nm), energy density (such as 10J / cm 2 →8J / cm 2 ) and energy transfer ratio (such as 80%), and safety control strategies are corresponding response measures in hierarchical response mechanism (such as cooling mode, phototherapy suspension instruction, operator manual intervention prompt);

[0134] It should be noted that the skin health atlas is the basis of static analysis, while real-time data acquisition and dynamic threshold self-adaptation are the key to dynamic adjustment. The role of the skin health atlas is static analysis and initial parameter allocation. Based on the current skin structure, metabolic state and defect distribution of the patient, the initial range of safe energy configuration is predicted. According to the static analysis result, the preset laser wavelength (such as 1064nm for deep pigments) and energy density (such as 10J / cm 2 ) in the preset rule library are called. However, the rule library is based on the "average value" of historical data, which cannot adapt to individual differences or dynamic changes in the phototherapy process (such as environmental temperature rise, impedance change caused by patient sweating);

[0135] During the phototherapy process, the patient's state needs to be monitored in real time, and the initial parameters need to be dynamically corrected to ensure safety and effectiveness;

[0136] The hemoglobin oxygenation state is calculated by reflectance spectrum (the ratio of reflectance intensity at 577nm wavelength to reflectance intensity at 805nm wavelength is taken as the hemoglobin oxygenation state, i.e. erythema index), which is taken as erythema index, and temperature gradient (temperature change rate per second) and impedance change rate (the difference between current impedance and initial impedance is calculated, and the ratio is calculated with initial impedance, and then multiplied by 100 to get impedance change rate) are obtained by epidermal temperature and impedance, and then erythema index, temperature gradient and impedance change rate are normalized (normalized to [0, 1] interval, which is convenient for subsequent calculation);

[0137] The current environmental parameters include environmental temperature and environmental humidity;

[0138] According to the skin health map, temperature gradient, impedance change rate, erythema index, and environmental temperature and humidity, set the basic safety temperature threshold (such as 42°C), erythema index threshold (such as 0.8), and impedance change rate threshold (such as ±10%), calculate the threshold adjustment factor applicable to the current phototherapy conditions, adjust and generate dynamic thresholds according to the threshold adjustment factor;

[0139] The adjustment factor includes a stratum corneum tolerance factor, a vascular risk factor, and an environmental compensation factor;

[0140] The stratum corneum tolerance factor is defined as if the area is detected to be a thin stratum corneum area, the safety temperature threshold of the area is adjusted proportionally (for example, according to the stratum corneum thickness, different thickness levels can be divided, and the temperature threshold is reduced by a certain percentage according to each thickness level);

[0141] Example: If the stratum corneum thickness is less than 15μm, the temperature threshold is reduced by 20%;

[0142]

[0143] The vascular risk factor is defined as if the hemoglobin concentration in the area exceeds the preset hemoglobin concentration threshold (the hemoglobin concentration threshold can be set according to the normalized value, such as 0.7, i.e. the normalized value is higher than 0.7), the erythema index threshold is adjusted proportionally (for example, the erythema index threshold is reduced by a certain percentage);

[0144] Higher hemoglobin concentration means higher vascular density, which increases the risk of local overheating, so the threshold of erythema index needs to be tightened accordingly;

[0145] Example: If the normalized value of hemoglobin concentration is greater than 0.7, it is determined to be a high-risk area of hemoglobin concentration, and the erythema index threshold is reduced by 30%, i.e. vascular risk factor = erythema index threshold × (1-0.3);

[0146] The environmental compensation factor includes an environmental temperature compensation factor and an environmental humidity compensation factor. The environmental temperature compensation factor is defined as if the environmental temperature is greater than the preset environmental temperature threshold (such as higher than 30°C), the safety temperature threshold is proportionally reduced (for example, an additional 1°C is reduced);

[0147] The environmental humidity compensation factor is defined as if the environmental humidity is lower than the preset environmental humidity threshold, the impedance change rate threshold is proportionally increased (for example, the impedance change rate fluctuation range is expanded by 15%);

[0148] Considering the influence of environmental factors on skin response, for example, in a high-temperature environment, due to the decrease in heat dissipation efficiency, the safety temperature threshold needs to be further reduced; and in low humidity conditions, the skin becomes drier, affecting the impedance value, so the threshold range of the impedance change rate can be appropriately relaxed;

[0149] Example:

[0150] Adjust the base safety temperature threshold in combination with the stratum corneum tolerance factor and the environmental temperature compensation factor to generate a temperature dynamic threshold;

[0151] Temperature dynamic threshold = base safety temperature threshold × (1 + stratum corneum tolerance factor) + environmental temperature compensation factor;

[0152] Example: base safety temperature threshold 42℃ → stratum corneum thin area (-20%) + high environmental temperature (-1℃) → temperature dynamic threshold is 32.6℃;

[0153] Take the base erythema index threshold as the benchmark, read the number of times the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during phototherapy as the historical alarm times, and adjust it in combination with the blood vessel risk factor to generate an erythema index dynamic threshold;

[0154] Erythema index dynamic threshold = base erythema index threshold × e -k×(血管风险因子+历史报警)

[0155] Where k is an artificially set adjustment factor that controls the rate of decay of the erythema threshold, for example, k = 0.1 means that for every 1 unit increase in risk factor, the threshold decays by about 10%, e is the natural exponential, and the exponential term e -k×(血管风险因子+历史报警) in the formula indicates that the erythema index dynamic threshold will decrease exponentially with the increase in blood vessel risk and historical risk. The significance of defining the erythema index dynamic threshold as a non-linear decay is that the superposition of risk factors (blood vessel density and historical alarms) will accelerate the decay of the threshold, ensuring a sensitive response to high-risk areas;

[0156] This formula is used to dynamically adjust the threshold of the erythema index in laser treatment to ensure the safety and effectiveness of phototherapy. The core logic is to dynamically lower the allowed threshold of the erythema index according to the degree of blood vessel density and the risk history (such as the number of erythema alarms) during phototherapy, thereby avoiding excessive irritation of the skin;

[0157] Example: base erythema index threshold 0.8 → blood vessel risk factor 0.7 (i.e. high risk of blood vessels (-30%)), historical alarm times 2, decay coefficient 0.1 → dynamic threshold 0.61;

[0158] The erythema index dynamic threshold is reduced from 0.8 to 0.61, significantly reducing the allowed degree of erythema in this area and avoiding further damage;

[0159] Take the base impedance change rate threshold as the benchmark and adjust the allowed range of impedance change rate according to the environmental humidity compensation factor to generate an impedance dynamic threshold;

[0160] Impedance dynamic threshold = base impedance change rate threshold ± Δ environmental humidity compensation factor;

[0161] Example: impedance change rate threshold ± 10% → environmental humidity compensation factor + 0.15 (i.e. increase by 15%) → impedance change rate threshold relaxed to ± 11.5%;

[0162] According to the temperature dynamic threshold, the erythema index dynamic threshold and the impedance dynamic threshold, the difference between the current value of each dynamic threshold corresponding parameter and the dynamic threshold is normalized, and the temperature deviation, the erythema index deviation and the impedance deviation are calculated respectively;

[0163] The formula is:

[0164] Example:(temperature deviation is 0.026, i.e. 2.6% more than the temperature dynamic threshold);

[0165] If the current value of the erythema index is 0.7 and the dynamic threshold is 0.6, the deviation is (0.7-0.6) / 0.6 ≈ 0.167 (i.e. 16.7% more than the dynamic threshold);

[0166] The temperature deviation, the erythema index deviation and the impedance deviation are weighted and summed to obtain a comprehensive risk value; (the weight of each deviation can be pre-set according to the sensitivity of the parameter to the risk and the scene demand (such as temperature weight 0.4, erythema index 0.3, impedance 0.3));

[0167] Example: temperature deviation 0.026 × weight 0.4 = 0.01, erythema deviation 0.167 × weight 0.3 = 0.05, impedance deviation (assuming 0.05) × weight 0.3 = 0.015, comprehensive risk value = 0.01 + 0.05 + 0.015 = 0.075;

[0168] According to the comprehensive risk value, the risk level is divided, including low risk, medium risk and high risk (such as low risk (comprehensive risk value < 0.3), medium risk (0.3 ≤ comprehensive risk value < 0.7), high risk (comprehensive risk value ≥ 0.8));

[0169] According to the current deviation and the response result of the risk level, the subsequent threshold is dynamically adjusted;

[0170] For example: if the erythema index exceeds the standard for multiple times, the dynamic threshold can be further reduced (such as from 0.6 to 0.5); if the environmental temperature rises, the dynamic temperature threshold can be adjusted upwards (such as from 38℃ to 39℃);

[0171] Example: Current epidermis temperature: 39°C (dynamic threshold 38°C); current erythema index: 0.7 (dynamic threshold 0.6); current impedance: +15% (dynamic threshold ±10%);

[0172] Calculation: Temperature deviation ≈ 0.026 → multiplied by weight: 0.026 x 0.4 = 0.01; Erythema deviation ≈ 0.167 → multiplied by weight: 0.167 x 0.3 = 0.05; Impedance deviation = 0.5 → multiplied by weight: 0.5 x 0.3 = 0.15; Comprehensive risk value = 0.21 → low risk;

[0173] If the erythema index further rises to 0.8:

[0174] New comprehensive risk value = 0.01 (epidermis temperature) + (0.8-0.6) / 0.6 x 0.3 (erythema deviation x weight) + 0.15 (impedance) ≈ 0.01 + 0.1 + 0.15 = 0.26 → still low risk, but attention is needed;

[0175] If the impedance deviation reaches +20%, the CRV may rise to 0.4, triggering medium risk;

[0176] According to the temperature dynamic threshold, erythema index dynamic threshold, and impedance dynamic threshold of each region and the risk level, if the current region's epidermis temperature is greater than the temperature dynamic threshold, a first-level response is triggered.

[0177] The response measure of the first-level response is defined as immediate energy cutoff and forced cooling. The immediate energy cutoff is to turn off the laser output of the current region to prevent further damage.

[0178] The forced cooling includes mild over-temperature cooling, moderate over-temperature cooling, and severe over-temperature cooling. An over-temperature proportion interval (a preset threshold range, such as [5%, 10%]) is set. Based on the epidermis temperature being greater than the temperature dynamic threshold, the proportion of the difference between the epidermis temperature and the temperature dynamic threshold to the temperature dynamic threshold is taken as the over-temperature proportion. If the over-temperature proportion is less than the minimum value of the over-temperature proportion interval (such as 0% ≤ over-temperature proportion < 5%), it is determined as mild over-temperature, and the mild over-temperature cooling (such as starting the air cooling system (air speed 15 m / s)) is triggered.

[0179] If the over-temperature proportion is greater than or equal to the minimum value of the over-temperature proportion interval and less than the maximum value of the over-temperature proportion interval (such as 5% ≤ over-temperature proportion < 5%), it is determined as moderate over-temperature, and the moderate over-temperature cooling (such as air cooling + contact cooling (Peltier refrigeration piece, cooling rate 1°C / s)) is triggered.

[0180] If the over-temperature proportion is greater than or equal to the maximum value of the over-temperature proportion interval (such as over-temperature proportion ≥ 10%), it is determined as severe over-temperature, and the severe over-temperature cooling (such as emergency shutdown of the whole system phototherapy, triggering whole system cooling and alarm, and notifying the operator to intervene) is triggered.

[0181] If the erythema index of the current region exceeds the erythema index dynamic threshold, or the risk level is medium risk (i.e. if any one of the two conditions is met, a secondary response is triggered), a secondary response is triggered;

[0182] The response measures of the secondary response are defined as energy density reduction (such as 20% reduction), increase in laser wavelength length (such as 532 nm→650 nm), cross-regional energy transfer and local cooling, the cross-regional energy transfer is to select an adjacent low-response region by a path planning algorithm, and proportionally transfer the energy of the current region (such as 80% of the energy of the current region) to the low-response region; wherein the adjacent low-response region is a thick stratum corneum region and has no structural defect marker and is in the same phototherapy region; the local cooling is to start mild over-temperature cooling for the current region;

[0183] If the risk level of the current region is high risk, or more than or equal to two of the epidermal temperature, erythema index and impedance change rate are greater than the corresponding dynamic threshold, a tertiary response is triggered;

[0184] The response measures of the tertiary response are defined as immediate global suspension of phototherapy, locking of device operation, automatic generation of a risk report containing real-time epidermal temperature, erythema index and impedance change rate data, comprehensive risk value change curve, and historical adjustment record of dynamic threshold, forced human intervention, and sending of the risk report to the operator;

[0185] According to the skin health map and dynamic energy configuration parameters, based on the structural layers in the skin health map, a first preheating power (such as 8 W / cm 2 ), a second preheating power (such as 3 W / cm 2 ) and a preheating time length ratio (such as 20%, i.e. increasing 20% on the standard preheating time to ensure uniform heating) are set; which are set according to industry standards and expert experience;

[0186] For thick stratum corneum regions, the radiofrequency preheating power is adjusted to the first preheating power, and for thin stratum corneum regions, the radiofrequency preheating power is adjusted to the second preheating power; when a structural defect marker is detected in a region, the preheating time is increased by the preheating time length ratio based on the standard preheating time; and then a radiofrequency preheating power distribution map is generated, and each region power and preheating time length are marked in the radiofrequency preheating distribution map;

[0187] According to the metabolic layer in the skin health atlas, an initial energy density is assigned to the high tolerance area, a degraded energy density is used for the blood vessel dense area, and a contact cooling strategy is combined to assign the energy density (the degraded energy density is to reduce the initial energy density to a preset safe level, such as reducing to 60%, the contact cooling is to continuously or intermittently activate the cooling device (for example, triggered synchronously with the laser pulse) before, during and after the laser pulse emission, and the cooling device is, for example, air cooling, a contact cooling head or a refrigeration gel (a heat-conducting gel is applied on the skin surface)), thereby generating a laser energy density assignment matrix, and associating three-dimensional point cloud coordinates to define the irradiation position;

[0188] The spatial constraint condition is defined as avoiding the structural defect marked area, the blood vessel dense area and the area where the epidermis temperature exceeds the temperature dynamic threshold, and the stratum corneum thick area is preferentially selected as the alternative path;

[0189] Based on the laser energy density matrix and the safety control strategy, an initial laser path coordinate set is generated by a path planning algorithm;

[0190] When the laser path is about to enter the blood vessel dense area or the real-time monitoring epidermis temperature exceeds the temperature dynamic threshold, a path re-planning algorithm is triggered to generate an updated laser path coordinate set through the spatial constraint condition;

[0191] According to the radio frequency preheating power distribution map, regional energy loading is performed, and after completion, the laser irradiation is activated according to the path coordinate set, the actual energy deposition amount, the epidermis temperature change and the triggered hierarchical response mechanism are recorded synchronously, and a phototherapy execution log is generated;

[0192] Based on the defect layer of the skin health atlas, the current metabolic indicators, including elastin content, pigmentation degree and hemoglobin concentration, are collected by a spectral detection device;

[0193] Based on the skin health atlas, the phototherapy execution log and the metabolic indicators, the surface flatness improvement rate of the skin in each area is calculated by comparing the three-dimensional point cloud coordinates before and after phototherapy, and the surface flatness improvement rate is associated with the corresponding area data in the laser energy density assignment matrix to generate energy density association data;

[0194] The metabolic indicators before and after phototherapy are integrated to form a metabolic indicator change curve;

[0195] The surface flatness improvement rate, the metabolic indicator change curve and the energy density association data are integrated to generate a therapeutic effect evaluation report;

[0196] The surface flatness improvement rate is obtained by calculating the average height difference in the area, that is, the difference between the average height before treatment and the average height after treatment is calculated, and the average height before treatment is calculated to obtain the surface flatness improvement rate;

[0197] Based on the efficacy evaluation report and the historical light therapy execution log, if the area surface flatness improvement rate is less than the preset flatness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk area; a preset energy attenuation strategy (energy reduction by a preset proportion each time) is triggered for the high-risk area;

[0198] If the area surface flatness improvement rate is greater than or equal to the preset flatness improvement rate threshold, it is marked as a reinforcement treatment area; a preset energy density enhancement strategy (energy density is increased by a preset proportion) is enabled for the reinforcement area;

[0199] After light therapy is performed on the patient, the decision threshold in the safety control strategy is corrected according to the clinical review results of the patient; and the energy rule library is updated, the weight coefficient of the ICP registration algorithm is recalibrated, and the skin health map generation accuracy is optimized;

[0200] The updated energy rule library, decision threshold, and skin health map are used to generate a treatment plan for the next course of treatment, including energy distribution rules and path planning strategies.

[0201] Embodiment Two

[0202] Please refer to Figure 3 The embodiment does not describe some parts in detail, which are described in Embodiment One. A body beautifying method based on light therapy is provided, which includes:

[0203] S1: Collect OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates, and spectral metabolic parameters of skin structure, fuse and generate a skin health map through an ICP registration algorithm;

[0204] S2: Based on the skin health map, divide the high-tolerance area and the dense blood vessel area through morphological closing operation; call a preset energy rule library to assign laser wavelength, energy density, and cooling parameters to each area; adjust the temperature dynamic threshold, the erythema index dynamic threshold, and the impedance change rate dynamic threshold in real time through a dynamic threshold adaptive algorithm; divide the risk level through multi-parameter fusion judgment, and trigger a graded response mechanism to generate dynamic energy configuration parameters and safety control strategies;

[0205] S3: According to the dynamic energy configuration parameters, preheat the skin surface by area according to the stratum corneum thickness, and extend the preheating time according to the structural defect markers; based on the three-dimensional point cloud coordinates and the spatial constraint conditions, dynamically adjust the laser path planning through a path re-planning algorithm to generate a light therapy execution log;

[0206] S4: Based on the light therapy execution log, generate an efficacy evaluation report, combine historical light therapy data, and construct a photoaging risk map; implement an energy attenuation strategy for the high-risk area, and enable an energy density enhancement strategy for the reinforcement area; update the parameters of the energy rule library and the decision threshold, and the weight coefficient of the registration algorithm through a reinforcement learning algorithm to form a closed-loop optimization.

[0207] Specifically, the system and method of the present application can be made into corresponding cosmetic products, which can be used for phototherapy on any part of the body, and the material of the cosmetic products is not limited, and the wave band of the light source includes but is not limited to the following corresponding wave bands:

[0208] Wavelength 308nm, repairing human skin, mucosal ulcer and acne;

[0209] Wavelength 415nm-480nm, relieving human skin inflammation, reducing skin allergy, treating acne;

[0210] Wavelength 532nm, treating human skin freckles, age spots (seborrheic keratosis) and other superficial skin layers;

[0211] Wavelength 560nm, calming and relieving fatigue, treating human skin roughness;

[0212] Wavelength 585nm-590nm, enhancing human lymph flow, inhibiting pigmentation, and whitening skin;

[0213] Wavelength 610nm-670nm, promoting human blood circulation, accelerating wound healing, tendering skin and improving wrinkles;

[0214] Wavelength 808nm, 810nm, human hair removal, treating skin diseases such as nevi and pseudofolliculitis;

[0215] Wavelength 830nm, reducing human skin pigmentation, relieving skin inflammation, and preventing scar formation;

[0216] Wavelength 850-970nm, preventing or treating human wounds and scars;

[0217] Wavelength 980nm, promoting human neovascularization, promoting collagen production, and eliminating inflammation;

[0218] Wavelength 1050nm, reducing human skin relaxation and wrinkles, and improving facial capillary dilation;

[0219] Wavelength 1064nm, treating epidermal spots in deep-skinned people, dermal layer brown spots, and pigmented diseases;

[0220] Wavelength 1450nm, treating moderate to severe acne, folliculitis and sebaceous gland hyperplasia in human skin;

[0221] Wavelength 1535nm, 1550nm, used for skin wrinkle removal, skin tendering and concave scar.

[0222] Example Three

[0223] Please refer to Figure 4 and Figure 5As shown, the embodiment does not describe part of the embodiment one, provide a medical cosmetology device with LED light source, comprising:

[0224] The application provides a set of beauty devices, which are built-in with the control system of the application. The beauty devices belong to human body wearable products, which can be in the form of a vest or a blanket and can be attached to various skin parts of the human body (such as the neck, arms, chest and abdomen, back, legs, hips, etc.). The beauty devices are built-in with rechargeable batteries and can be charged. The beauty devices can be made of hard or soft silicone material. When made in the form of a vest, the sleeve part is detachably connected, which can be achieved by using a zipper or a magic tape. When used, for example, the vest-type beauty device can be worn on the body, such as Figure 4 ; for example, the blanket-type beauty device can be laid on the legs, such as Figure 5 .

[0225] Embodiment four

[0226] The embodiment discloses an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the operation mode of the above-mentioned beauty method based on light therapy is realized.

[0227] Since the electronic device introduced in the embodiment is used to implement the beauty method based on light therapy in the embodiment, the specific implementation of the electronic device and its various forms can be understood by those skilled in the art based on the beauty method based on light therapy introduced in the embodiment. Therefore, the implementation of the method in the embodiment will not be described in detail. As long as the electronic device used to implement the beauty method based on light therapy in the embodiment is implemented by those skilled in the art, it belongs to the scope of protection of the application.

[0228] The above formulas are dimensionless values calculated, and the formulas are obtained by collecting a large amount of data to simulate the most real situation. The preset parameters and threshold values in the formula are set by those skilled in the art according to the actual situation.

[0229] The above-mentioned only is the preferred embodiment of the present application, the protection scope of the present application is not only limited to the above-mentioned embodiment, all technical solutions under the idea of the present application belong to the protection scope of the present application. It should be pointed out that, for the ordinary technical user in this technical field, some improvements and decorations without departing from the principle of the present application, these improvements and decorations should also be regarded as the protection scope of the present application.

Claims

1. A phototherapy-based body cosmetic system, characterized by, The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy.

2. A light therapy-based body cosmetic system according to claim 1, characterized in that, The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy.

3. A light-based body cosmetic system according to claim 2, wherein The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. 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The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy, and belongs to the field of skin phototherapy. The application relates to a skin health atlas generation method based on multi-modal energy synergy phototherapy Based on the collected OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, the parameters of the OCT module, thermal imaging camera, near-infrared spectrometer and ToF camera are calibrated through the calibration plate to align the local coordinates of OCT, pixel coordinates of thermal imaging and global coordinate system of three-dimensional point cloud; The ICP registration algorithm is adopted to match the stratum corneum thickness and subcutaneous blood vessel network distribution of OCT data with the three-dimensional point cloud coordinates layer by layer, and the spatial registration is performed by minimizing the distance error between the three-dimensional point cloud and the surface of OCT; For the spatially registered OCT data, thermal imaging temperature distribution, three-dimensional point cloud coordinates and spectral metabolic parameters, multi-parameter fusion and feature extraction are performed to generate a three-dimensional health atlas as a skin health atlas; The multi-parameter fusion and feature extraction include structural parameter integration, metabolic parameter integration and structural defect analysis; the three-dimensional health atlas includes a structure layer, a metabolic layer and a defect layer; The structural parameter integration is: the stratum corneum thickness is subjected to gray threshold segmentation to generate a stratum corneum thickness distribution map; the blood vessel dense area is marked by combining the subcutaneous blood vessel network distribution with the hemoglobin concentration distribution in the spectral metabolic parameters through an image processing tool; The metabolic parameter integration is: the thermal imaging temperature distribution and the hemoglobin concentration distribution are superimposed to generate a metabolic activity thermal map; The structural defect analysis is: based on the curvature calculation of the three-dimensional point cloud coordinates, the skin depression or wrinkle area is located; the pigment deposition or spot area is marked through the melanin distribution in the spectral metabolic parameters; The topographic features of the three-dimensional point cloud coordinates are extracted, and the stratum corneum thickness distribution and the epidermis-dermis junction structure of the OCT data are integrated as the structure layer of the three-dimensional health atlas; The thermal imaging temperature distribution and the hemoglobin concentration distribution in the spectral metabolic parameters are fused to generate a microcirculation state thermal map and a temperature gradient abnormal area marker as the metabolic layer of the three-dimensional health atlas; Based on the skin depression or wrinkle area of the three-dimensional point cloud coordinates and the pigment deposition or spot area of the spectral metabolic parameters, a structural defect marker is generated as the defect layer of the three-dimensional health atlas.

4. A light-based body cosmetic system according to claim 3, characterized in that, The generation mode of the dynamic energy configuration parameter and the safety control strategy includes: Based on the skin health atlas, the blood vessel distribution map is extracted from the subcutaneous blood vessel network distribution, the blood vessel distribution map and the stratum corneum thickness map are subjected to binary processing to generate a preliminary blood vessel area mask and a stratum corneum thickness mask, wherein the blood vessel area mask includes a blood vessel dense area and a non-blood vessel dense area, and the stratum corneum thickness mask includes a thick stratum corneum area and a thin stratum corneum area; The blood vessel area mask is processed by morphological closing operation to form a continuous blood vessel area marker and retain the boundary integrity of the non-blood vessel dense area; The thick stratum corneum area in the stratum corneum thickness mask is subjected to a closing operation by morphological closing operation; The area belonging to the thick stratum corneum area and the non-blood vessel dense area is extracted by combining the closed stratum corneum thickness map and the blood vessel distribution map, and is marked as a high tolerance area; The preset energy rule library is called to assign an initial laser wavelength and energy density to the high tolerance area and the non-high tolerance area; The FPGA hardware synchronizes each sensor channel, and then synchronously collects the reflectance spectrum, impedance and epidermal temperature of all areas of the skin surface, and monitors key parameters in real time, including erythema index and microcirculation velocity; Based on the real-time collected reflectance spectrum, impedance, temperature and key parameters, through dynamic threshold self-adaption, multi-parameter fusion judgment and grading response mechanism, dynamic energy configuration parameters and safety control strategies are generated; The dynamic energy configuration parameters include laser wavelength, energy density and energy transfer ratio, and the safety control strategies are corresponding response measures in the grading response mechanism.

5. A light treatment based body cosmetic system according to claim 4, characterized in that, The dynamic threshold self-adaption mode includes: The oxygenation state of hemoglobin is calculated by reflectance spectrum as the erythema index, and the temperature gradient and impedance change rate are obtained by epidermal temperature and impedance, and then the erythema index, temperature gradient and impedance change rate are normalized; The current environmental parameters include environmental temperature and environmental humidity; According to the skin health atlas, temperature gradient, impedance change rate, erythema index, and environmental temperature and humidity, the basic safety temperature threshold, erythema index threshold and impedance change rate threshold are set, the threshold adjustment factor suitable for the current phototherapy condition is calculated, and the dynamic threshold is adjusted and generated according to the threshold adjustment factor; The adjustment factor includes the stratum corneum tolerance factor, the blood vessel risk factor and the environmental compensation factor; The stratum corneum tolerance factor is defined as if the detected area is a thin stratum corneum area, the safety temperature threshold of the area is adjusted proportionally; The blood vessel risk factor is defined as if the hemoglobin concentration in the area exceeds the preset hemoglobin concentration threshold, the erythema index threshold is adjusted proportionally; The environmental compensation factor includes the environmental temperature compensation factor and the environmental humidity compensation factor, and the environmental temperature compensation factor is defined as if the environmental temperature is greater than the preset environmental temperature threshold, the safety temperature threshold is proportionally reduced; The environmental humidity compensation factor is defined as if the environmental humidity is lower than the preset environmental humidity threshold, the impedance change rate threshold is proportionally increased; The temperature dynamic threshold is generated by adjusting the basic safety temperature threshold in combination with the stratum corneum tolerance factor and the environmental temperature compensation factor; The erythema index dynamic threshold is generated by adjusting the basic erythema index threshold in combination with the blood vessel risk factor, taking the number of times that the hemoglobin concentration exceeds the preset hemoglobin concentration threshold during the phototherapy process as the historical alarm times; The impedance dynamic threshold is generated by adjusting the allowed range of impedance change rate according to the environmental humidity compensation factor.

6. A light treatment based body cosmetic system according to claim 5, characterized in that, The multi-parameter fusion judgment mode includes: According to the temperature dynamic threshold, the erythema index dynamic threshold and the impedance dynamic threshold, the difference between the current value of the parameter corresponding to each dynamic threshold and the dynamic threshold is standardized, and the temperature deviation, the erythema index deviation and the impedance deviation are calculated respectively; The temperature deviation, the erythema index deviation and the impedance deviation are weighted and summed to obtain a comprehensive risk value; and the risk level is divided according to the comprehensive risk value, including low risk, medium risk and high risk.

7. A light treatment based body cosmetic system according to claim 6, characterized in that, The grading response mechanism includes primary response, secondary response and tertiary response. According to the temperature dynamic threshold value, the erythema index dynamic threshold value and the impedance dynamic threshold value of each region and the risk level, if the epidermal temperature of the current region is greater than the temperature dynamic threshold value, a first level response is triggered; The response measure of the first level response is defined as immediate energy cut-off and forced cooling, and the immediate energy cut-off is to close the laser output of the current region; The forced cooling includes mild over-temperature cooling, moderate over-temperature cooling and severe over-temperature cooling, an over-temperature proportion interval is set, based on the epidermal temperature being greater than the temperature dynamic threshold value, the proportion of the difference between the epidermal temperature and the temperature dynamic threshold value to the temperature dynamic threshold value is taken as the over-temperature proportion, if the over-temperature proportion is less than the minimum value of the over-temperature proportion interval, it is determined that the over-temperature is mild, and the mild over-temperature cooling is triggered; If the over-temperature proportion is greater than or equal to the minimum value of the over-temperature proportion interval and less than the maximum value of the over-temperature proportion interval, it is determined that the over-temperature is moderate, and the moderate over-temperature cooling is triggered; If the over-temperature proportion is greater than or equal to the maximum value of the over-temperature proportion interval, it is determined that the over-temperature is severe, and the severe over-temperature cooling is triggered; If the erythema index of the current region exceeds the erythema index dynamic threshold value, or the risk level is medium risk, a second level response is triggered; The response measure of the second level response is defined as energy density reduction, increase of the length of laser wavelength, cross-region energy transfer and local cooling, the cross-region energy transfer is to select a neighboring low response region through a path planning algorithm, and to transfer the energy of the current region to the low response region in proportion; wherein the neighboring low response region is a region with thick stratum corneum and without structural defect mark and in the same phototherapy region; the local cooling is to start mild over-temperature cooling on the current region; If the risk level of the current region is high risk, or the epidermal temperature, the erythema index and the impedance change rate have more than or equal to two greater than the corresponding dynamic threshold value, a third level response is triggered; The response measure of the third level response is defined as immediate global suspension of phototherapy, locking of the device operation, forced manual intervention, automatic generation of a risk report containing real-time epidermal temperature, erythema index, impedance change rate data, comprehensive risk value change curve and historical adjustment record of dynamic threshold value, and sending of the risk report to the operator.

8. A light treatment based body cosmetic system according to claim 7, characterized in that, The generation mode of the phototherapy execution log includes: According to the skin health map and the dynamic energy configuration parameters, based on the structural layer in the skin health map, a first preheating power, a second preheating power and a preheating time proportion are set; For the thick stratum corneum region, the radio frequency preheating power is adjusted to the first preheating power, and for the thin stratum corneum region, the radio frequency preheating power is adjusted to the second preheating power; when it is detected that the region has a structural defect mark, the preheating time is increased by the preheating time proportion based on the standard preheating time; and then a radio frequency preheating power distribution map is generated, and each region power and preheating time is marked in the radio frequency preheating distribution map; According to the metabolic layer in the skin health map, an initial energy density is allocated to the high tolerance area, and a preset degraded energy density is adopted for the blood vessel dense area in combination with a contact cooling strategy to allocate the energy density, and then a laser energy density allocation matrix is generated, and a three-dimensional point cloud coordinate is defined to define the irradiation position; The spatial constraint condition is defined as avoiding structural defect marked areas, blood vessel dense areas, and areas with skin temperature exceeding a temperature dynamic threshold, and preferentially selecting areas with thick stratum corneum and non-blood vessel dense areas as alternative paths; Based on the laser energy density matrix and the safety control strategy, an initial laser path coordinate set is generated through a path planning algorithm; When the laser path is about to enter a blood vessel dense area or the real-time monitoring skin temperature exceeds the temperature dynamic threshold, a path re-planning algorithm is triggered to generate an updated laser path coordinate set through the spatial constraint condition; After performing regional energy loading according to the radio frequency preheating power distribution map, the laser irradiation according to the path coordinate set is activated, and the actual energy deposition, skin temperature change, and triggered graded response mechanism are recorded synchronously to generate a phototherapy execution log.

9. A light treatment based body cosmetic system according to claim 8, characterized in that, The closed-loop optimization method includes: Based on the defect layer of the skin health map, the current metabolic indicators, including elastin content, pigmentation degree, and hemoglobin concentration, are collected by a spectral detection device; Based on the skin health map, the phototherapy execution log, and the metabolic indicators, the three-dimensional point cloud coordinates before and after phototherapy are compared, the surface flatness improvement rate of the skin in each region is calculated, the surface flatness improvement rate is associated with the corresponding region data in the laser energy density distribution matrix, and energy density association data is generated; The metabolic indicators before and after phototherapy are integrated to form a metabolic indicator change curve; The surface flatness improvement rate, metabolic indicator change curve, and energy density association data are integrated to generate a treatment effect evaluation report; Based on the treatment effect evaluation report and historical phototherapy execution logs, if the regional surface flatness improvement rate is less than the preset flatness improvement rate threshold and the elastin content is less than the preset protein content, it is marked as a high-risk area; the preset energy attenuation strategy is triggered for the high-risk area; If the regional surface flatness improvement rate is greater than or equal to the preset flatness improvement rate threshold, it is marked as an intensive treatment area; the preset energy density enhancement strategy is enabled for the intensive area; After phototherapy on the patient, the decision threshold parameters in the safety control strategy are corrected according to the patient's clinical review results through a reinforcement learning algorithm, the energy rule library is updated, the weight coefficients of the ICP registration algorithm are recalibrated, the generation accuracy of the skin health map is optimized, and a data-driven closed-loop optimization is formed.

10. A medical aesthetic device with an LED light source, characterized in that, The medical cosmetic device is equipped with a body cosmetic system based on phototherapy according to any one of claims 1 to 9.

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