Cosmetic system based on multi-frequency ultrasound and ultrasound image detection

Abstract

The invention relates to a beauty system based on multi-frequency ultrasound and ultrasonic image detection, and the system comprises a multi-frequency ultrasound module which acts on the skin through ultrasonic waves of different frequencies, and promotes the permeation of essence; the ultrasonic image detection module is used for detecting the skin state in real time by utilizing a high-frequency ultrasonic imaging technology; the automatic essence conveying module is used for automatically adjusting the essence conveying amount and frequency according to the skin state and the AI analysis result; the temperature control module monitors the equipment temperature in real time and automatically adjusts the equipment temperature to ensure that the essence is conveyed at the optimal temperature; the environment sensing module is used for monitoring environment temperature and humidity in real time; and the self-adaptive AI control module is used for analyzing the skin state and optimizing an adjustment strategy. The system has the advantages that nursing parameters can be generated to achieve real personalized nursing, permeation of essence can be promoted through ultrasonic waves of different frequencies, it is ensured that the essence is conveyed according to needs, and the effectiveness and safety of nursing are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of beauty systems, and in particular to a beauty system based on multi-frequency ultrasound and ultrasound imaging detection. Background Art

[0002] As people's living standards improve, they place increasing emphasis on skin care, and the skin care market continues to expand. Consumers are no longer satisfied with just basic cleansing and moisturizing, but are pursuing more targeted, effective, and personalized skin care solutions.

[0003] In the existing technology, a fixed mode is mostly used to deliver essence, which cannot be adjusted in real time according to the skin condition, and cannot detect the skin condition in real time, resulting in poor care effects and inability to adaptively adjust according to environmental changes and individual differences. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, this application proposes a beauty system based on multi-frequency ultrasound and ultrasonic imaging detection, which can obtain skin condition data and collect ambient temperature and humidity in real time, generate care parameters, and achieve truly personalized care. It can promote the penetration of essence through ultrasound of different frequencies, ensure the delivery of essence on demand, improve the effectiveness and safety of care, and monitor the temperature of the equipment in real time. When the temperature is abnormal, it will alarm and stop working in time to ensure the safety of users.

[0005] The following is the technical solution of the present invention, a beauty system based on multi-frequency ultrasound and ultrasound imaging detection, comprising:

[0006] The multi-frequency ultrasound module acts on the skin through ultrasound waves of different frequencies to promote the penetration of essences and is connected to the adaptive AI control module;

[0007] Ultrasonic imaging detection module, which uses high-frequency ultrasonic imaging technology to detect skin conditions in real time and connects to the adaptive AI control module;

[0008] Automatic essence delivery module, which automatically adjusts the amount and frequency of essence delivery based on skin condition and AI analysis results, and is connected to the adaptive AI control module;

[0009] The temperature control module monitors the device temperature in real time and automatically adjusts it to ensure that the essence is delivered at the optimal temperature. It is connected to the adaptive AI control module.

[0010] High temperature alarm module, when the device temperature exceeds the preset safety threshold, triggers a high temperature alarm and prompts the user through sound and light, connected to the adaptive AI control module;

[0011] Environmental perception module, real-time monitoring of ambient temperature and humidity, connected to the adaptive AI control module;

[0012] The adaptive AI control module analyzes skin conditions and optimizes adjustment strategies to control the operating parameters of other modules.

[0013] As a preferred solution of the present invention, the multi-frequency ultrasound module includes:

[0014] Multi-frequency ultrasonic generator, used to generate 10kHz-5MHz ultrasonic signals;

[0015] Ultrasonic transducer, used to convert electrical signals into ultrasonic mechanical vibrations acting on the skin surface;

[0016] The frequency regulation circuit adjusts the output frequency of the multi-frequency ultrasonic generator in real time according to the received control signal and is connected to the adaptive AI control module.

[0017] As a preferred solution of the present invention, the ultrasonic imaging detection module includes:

[0018] High-frequency ultrasound probe, used to scan the skin and obtain echo signals of the skin's internal structure;

[0019] An image acquisition circuit, used for converting the echo signal into a digital image signal;

[0020] The image processing unit is used to analyze and process digital images, extract skin condition data, and connect the image acquisition circuit and the adaptive AI control module.

[0021] As a preferred solution of the present invention, the temperature control module includes:

[0022] Temperature sensor, used to monitor the temperature of the part where the device contacts the skin in real time;

[0023] a heating / cooling element for adjusting the temperature according to a control signal;

[0024] The temperature control circuit is used to achieve precise control of the heating / cooling element and connect the heating / cooling element and the adaptive AI control module.

[0025] As a preferred solution of the present invention, the high temperature alarm module includes:

[0026] The temperature threshold comparator is used to compare the real-time temperature collected by the temperature sensor with the preset safety threshold. The input end is connected to the temperature sensor, and the output end is connected to the sound and light alarm device and the power control circuit;

[0027] Sound and light alarm device, used for sound and light alarm;

[0028] The power control circuit is used to cut off the working power of the equipment and connect the power supply of the equipment when an alarm is triggered.

[0029] As a preferred solution of the present invention, the environment sensing module includes an ambient temperature sensor, a humidity sensor and a data acquisition circuit;

[0030] The ambient temperature sensor is a thermocouple or thermistor, the humidity sensor is a capacitive humidity sensor, and the data acquisition circuit converts the analog signal of the sensor into a digital signal and connects it to the adaptive AI control module.

[0031] As a preferred solution of the present invention, the automatic essence delivery module includes:

[0032] A micro pump is used to deliver the essence, with the input end connected to the essence storage tank and the switching valve through a pipeline;

[0033] The flow sensor is used to monitor the flow of the essence in real time. It is installed on the output pipe of the micro pump and connected to the adaptive AI control module.

[0034] Essence storage tank, used to store several different formulas of essences;

[0035] The switching valve is used to select the essence formula to be delivered according to the instructions of the adaptive AI control module.

[0036] As a preferred solution of the present invention, the multi-frequency ultrasound module dynamically adjusts the ultrasound frequency according to the thickness of the stratum corneum and the moisture content of the skin. The expression is as follows:

[0037] f=f0+k1·d+k2·(1-w)

[0038] In the above formula, f is the currently required ultrasonic frequency, f0 is the initial frequency, k1 and k2 are adjustment coefficients, d is the thickness of the stratum corneum, and w is the percentage of skin moisture content.

[0039] As a preferred solution of the present invention, the automatic essence delivery module delivers essence based on the flow rate required by the skin. The expression of the essence delivery flow rate is as follows:

[0040] Q=Q0·(1+c·t+d·p)

[0041] In the above formula, Q is the current essence delivery flow rate, Q0 is the basic flow rate, t is the skin temperature, c is the temperature adjustment coefficient, p is the pore size, and d is the pore adjustment coefficient.

[0042] As a preferred solution of the present invention, the adaptive AI control module generates a nursing plan based on the user's historical data. The nursing demand model of the nursing plan adopts a weighted scoring algorithm, which is expressed as follows:

[0043] S=ω1·a+ω2·s+ω3·e

[0044] In the above formula, S is the user's attention score for a certain care effect, a is the age score, s is the skin condition score, e is the past effect score, ω1 is the age weight coefficient, ω2 is the skin condition weight coefficient, and ω3 is the past effect weight coefficient.

[0045] The beneficial effects of the present invention are:

[0046] 1. In this invention, the ultrasonic imaging detection module acquires skin condition data in real time, providing a decision-making basis for the adaptive AI control module. Through high-frequency ultrasonic imaging and image processing technology, it accurately detects key parameters such as stratum corneum thickness and moisture content, ensuring that subsequent care plans are targeted;

[0047] 2. In the present invention, the environmental sensing module collects data such as ambient temperature and humidity, enabling the device to adapt to different environmental conditions;

[0048] 3. In this invention, the adaptive AI control module combines skin condition data and environmental data to generate optimal care parameters through algorithms. It has a learning function and can continuously optimize the adjustment strategy based on the user's historical data to achieve truly personalized care;

[0049] 4. In this invention, the multi-frequency ultrasound module promotes the penetration of essence through ultrasound waves of different frequencies, the automatic delivery module ensures the delivery of essence on demand, and the temperature control module maintains the optimal delivery temperature. The three work together to achieve efficient and safe skin care;

[0050] 5. In the present invention, the high temperature alarm module monitors the temperature of the equipment in real time, and promptly alarms and stops working when the temperature is abnormal, thereby ensuring the safety of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This invention illustrates Figure 1 ;

[0052] Figure 2 This invention illustrates Figure 2 ;

[0053] Figure 3 This is a diagram showing the steps of adaptively adjusting the ultrasonic frequency according to the present invention;

[0054] Figure 4 This is a diagram of recommended steps for the formulation of the present invention;

[0055] Figure 5 Generate a nursing plan step diagram for the present invention;

[0056] In the figure: 1. Adaptive AI control module; 2. Multi-frequency ultrasound module; 3. Ultrasonic image detection module; 4. Automatic essence delivery module; 5. Temperature control module; 6. High temperature alarm module; 7. Environmental perception module; 201. Multi-frequency ultrasound generator; 202. Ultrasonic transducer; 203. Frequency adjustment circuit; 301. High-frequency ultrasound probe; 302. Image acquisition circuit; 303. Image processing unit; 401. Micro pump; 402. Flow sensor; 403. Essence storage tank; 404. Switching valve; 501. Temperature sensor; 502. Heating / cooling element; 503. Temperature control circuit; 601. Temperature threshold comparator; 602. Sound and light alarm device; 603. Power control circuit; 701. Ambient temperature sensor; 702. Humidity sensor; 703. Data acquisition circuit. DETAILED DESCRIPTION

[0057] To make the technical problems solved, the technical solutions adopted, and the technical effects achieved by the present invention more clearly understood, the technical solutions of the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative work shall fall within the scope of protection of the present invention.

[0058] Example

[0059] like Figures 1 to 5 As shown, a beauty system based on multi-frequency ultrasound and ultrasound imaging detection includes:

[0060] Multi-frequency ultrasound module 2, which acts on the skin through ultrasound waves of different frequencies to promote the penetration of essence, is connected to the adaptive AI control module 1;

[0061] Ultrasonic imaging detection module 3, using high-frequency ultrasonic imaging technology to detect skin condition in real time, connected to adaptive AI control module 1;

[0062] Automatic essence delivery module 4, which automatically adjusts the amount and frequency of essence delivery according to skin condition and AI analysis results, and is connected to the adaptive AI control module 1;

[0063] Temperature control module 5, which monitors the device temperature in real time and automatically adjusts it to ensure that the essence is delivered at the optimal temperature, is connected to the adaptive AI control module 1;

[0064] High temperature alarm module 6, which triggers a high temperature alarm and prompts the user through sound and light when the device temperature exceeds the preset safety threshold, and is connected to the adaptive AI control module 1;

[0065] Environmental perception module 7, real-time monitoring of ambient temperature and humidity, connected to adaptive AI control module 1;

[0066] Adaptive AI control module 1 analyzes skin conditions and optimizes adjustment strategies to control the operating parameters of other modules.

[0067] In this embodiment, the multi-frequency ultrasonic module 2 applies ultrasound waves of varying frequencies to the skin, promoting the penetration of essences. The module consists of a multi-frequency ultrasonic generator 201, an ultrasonic transducer 202, and a frequency adjustment circuit 203. The multi-frequency ultrasonic generator 201 generates ultrasonic signals in the 10kHz-5MHz range. The ultrasonic transducer 202 converts these electrical signals into ultrasonic mechanical vibrations, which act on the skin surface. The frequency adjustment circuit 203 adjusts the output frequency of the multi-frequency ultrasonic generator 201 in real time based on received control signals. Ultrasonic waves of different frequencies penetrate the skin to varying depths and have varying effects. Low-frequency ultrasound waves of 10kHz-100kHz primarily act on the surface, softening the stratum corneum. High-frequency ultrasound waves of 1MHz-5MHz penetrate deeper into the skin, promoting cellular metabolism and enhancing the penetration of essences. The module is connected to the adaptive AI control module 1 via a control bus and receives frequency adjustment commands from the AI module. The ultrasonic transducer 202 is integrated with the device's contact probe to ensure that ultrasound waves are effectively transmitted to the skin surface.

[0068] The adaptive AI control module 1 calculates the optimal ultrasonic frequency required for the current skin condition based on the data from the ultrasonic imaging detection module 3 and the environmental perception module 7; the frequency instruction is sent to the frequency adjustment circuit 203 of the multi-frequency ultrasonic module 2 through the control bus; the frequency adjustment circuit 203 adjusts the output frequency of the multi-frequency ultrasonic generator 201, and the ultrasonic transducer 202 generates ultrasonic waves of the corresponding frequency to act on the skin.

[0069] Adaptively adjust the ultrasound frequency based on skin condition data and dynamically adjust the ultrasound frequency according to the thickness of the stratum corneum and the moisture content of the skin to achieve the best essence penetration effect. The process includes the following steps:

[0070] S101, the ultrasonic imaging detection module 3 collects the stratum corneum thickness and the skin moisture content percentage in real time;

[0071] S102. Calculate the currently required ultrasound frequency based on the stratum corneum thickness and the percentage of skin moisture content. The expression is as follows:

[0072] f=f0+k1·d+k2·(1-w)

[0073] In the above formula, f is the currently required ultrasonic frequency, f0 is the initial frequency, k1 and k2 are adjustment coefficients, d is the thickness of the stratum corneum, and w is the percentage of skin moisture content.

[0074] S103, using a linear interpolation method to ensure that the change in ultrasonic frequency within two adjacent adjustment cycles does not exceed 10% to avoid discomfort to the skin caused by sudden frequency changes;

[0075] S104: Send the calculated current frequency signal to the multi-frequency ultrasonic module 2 to adjust the output frequency of the ultrasonic generator.

[0076] In this embodiment, the ultrasonic imaging detection module 3 uses high-frequency ultrasonic imaging technology to detect skin condition in real time, including stratum corneum thickness, moisture content, pore size, and other parameters. By analyzing the ultrasonic images, a skin condition report is generated, providing data support for the adaptive AI control module 1. The ultrasonic imaging detection module 3 consists of a high-frequency ultrasonic probe 301, an image acquisition circuit 302, and an image processing unit 303. The high-frequency ultrasonic probe 301 uses a 5MHz-10MHz ultrasonic transducer to scan the skin and obtain echo signals of the skin's internal structure. The image acquisition circuit 302 converts the echo signals into digital image signals. The image processing unit 303 analyzes and processes the digital images to extract skin condition data. The high-frequency ultrasonic probe 301 is integrated with the device's detection probe, directly contacting the skin surface. The image acquisition circuit 302 is connected to the image processing unit 303 via a data cable, which in turn is connected to the adaptive AI control module 1 via a data bus, transmitting the processed skin condition data to the adaptive AI control module 1.

[0077] The high-frequency ultrasonic probe 301 transmits high-frequency ultrasonic waves to the skin and receives echo signals from various layers of skin tissue; the image acquisition circuit 302 converts the echo signals into digital image data and transmits them to the image processing unit 303; the image processing unit 303 uses an edge detection algorithm and a grayscale analysis algorithm to process the ultrasonic image, extracts the thickness of the stratum corneum by measuring the boundary distance between the epidermis and the dermis, calculates the moisture content based on the ultrasonic attenuation coefficient of the tissue, and calculates the pore size by detecting the image features at the pore opening; generates a skin status report and sends it to the adaptive AI control module 1.

[0078] Edge detection uses the Canny algorithm to accurately identify the boundaries of each layer of skin tissue; moisture content is calculated using the ultrasonic attenuation coefficient formula, which is expressed as follows:

[0079] w=80%-50%×α

[0080] In the above formula, w is the percentage of skin moisture content, and α is the ultrasonic attenuation coefficient.

[0081] In this embodiment, the automatic essence delivery module 4 uses a micropump 401 and a flow sensor 402 to automatically adjust the amount and frequency of essence delivery based on skin condition and AI analysis results. The automatic essence delivery module 4 includes a micropump 401, a flow sensor 402, an essence reservoir 403, and a switching valve 404. The micropump 401 delivers essence, while the flow sensor 402 monitors the flow rate in real time. The essence reservoir 403 stores a variety of essence formulas, and the switching valve 404 selects the desired essence formula based on instructions from the adaptive AI control module 1. The input of the micropump 401 is connected to the essence reservoir 403 and switching valve 404 via a pipeline, while the output is connected to the device's essence nozzle via a pipeline. The flow sensor 402, mounted on the output pipeline of the micropump 401, monitors flow data in real time and transmits it to the adaptive AI control module 1 via a data cable. The switching valve 404 is driven by a control signal from the adaptive AI control module 1 to switch between different essence formulas.

[0082] The adaptive AI control module 1 determines the essence formula and delivery parameters to be used based on the skin condition report and the care needs set by the user; sends instructions to the switching valve 404 to select the corresponding essence storage tank 403; the micropump 401 delivers the essence at the set frequency and flow rate, and the flow sensor 402 monitors the delivery volume in real time and feeds back the data to the adaptive AI control module 1. The adaptive AI control module 1 adjusts the working parameters of the micropump 401 based on the feedback data.

[0083] Making intelligent recipe recommendations includes the following steps:

[0084] S111. Establishing an essence formula database to store a variety of essence formulas and their applicable skin condition data ranges;

[0085] S112, the ultrasonic imaging detection module 3 provides the current skin stratum corneum thickness, moisture content, and pore size;

[0086] S113, matching the current skin condition data with the conditions in the formula database to find the most suitable essence formula;

[0087] S114, sending the selected formula instruction to the switching valve 404 of the automatic essence delivery module 4, switching to the corresponding essence storage tank 403;

[0088] S115. Essence delivery is performed using a flow control algorithm based on skin needs. The expression is as follows:

[0089] Q=Q0·(1+c·t+d·p)

[0090] In the above formula, Q is the current essence delivery flow rate, Q0 is the basic flow rate, t is the skin temperature, c is the temperature adjustment coefficient, p is the pore size, and d is the pore adjustment coefficient.

[0091] In this embodiment, the temperature control module 5, built with a high-precision temperature sensor 501 and a heating / cooling element 502, monitors the device's temperature in real time and automatically adjusts it to ensure the essence is delivered at the optimal temperature. The optimal temperature for essences is typically between 32°C and 38°C, preventing the effects of excessively high or low temperatures from being affected. The temperature control module 5 consists of a high-precision temperature sensor 501, a heating / cooling element 502, and a temperature control circuit 503. The temperature sensor 501 monitors the temperature of the skin-contacting portion of the device in real time. The heating / cooling element 502 adjusts its temperature based on a control signal, and the temperature control circuit 503 precisely controls the heating / cooling element 502. The temperature sensor 501 is mounted inside the device's contact probe, close to the skin-contacting surface. The heating / cooling element 502 is integrated with the probe's heat-conducting components to ensure rapid temperature transfer to the skin surface. The temperature control circuit 503 connects to the heating / cooling element 502 and the adaptive AI control module 1 via power and control cables, receiving the temperature setpoint from the adaptive AI control module 1 and providing real-time temperature data.

[0092] The temperature sensor 501 collects temperature data from the contact area of the device in real time and transmits it to the temperature control circuit 503 and the adaptive AI control module 1; the adaptive AI control module 1 determines the optimal delivery temperature based on the type of essence and skin condition; the temperature control circuit 503 uses a PID control algorithm to compare the difference between the real-time temperature and the set temperature, calculates the heating or cooling power, and drives the heating / cooling element 502 to work, so that the temperature is stabilized near the set value.

[0093] In this embodiment, the high-temperature alarm module 6 automatically triggers a high-temperature alarm when the device temperature exceeds a preset safety threshold, alerting the user through audio and visual notifications. Once the alarm is triggered, the system automatically stops operating, ensuring safe use. The high-temperature alarm module 6 includes a temperature threshold comparator 601, an audio and visual alarm device 602, and a power control circuit 603. The temperature threshold comparator 601 compares the real-time temperature collected by the temperature sensor 501 with a preset safety threshold. The audio and visual alarm device 602 includes an LED indicator and a buzzer. The power control circuit 603 is used to cut off the device's main operating power supply when an alarm is triggered. The input of the temperature threshold comparator 601 is connected to the temperature sensor 501, and the output is connected to the audio and visual alarm device 602 and the power control circuit 603. The audio and visual alarm device 602 is installed in a conspicuous location on the device and at the sounding location. The power control circuit 603 is connected to the device's power module to control the device's power supply.

[0094] The temperature threshold comparator 601 receives the temperature data of the temperature sensor 501 in real time and compares it with the preset safety threshold; when the temperature exceeds the threshold, it outputs an alarm signal, triggering the sound and light alarm device 602 to work, and at the same time controls the power control circuit 603 to cut off the power supply of major components such as the micro pump 401, the multi-frequency ultrasonic module 2, the heating / cooling element 502, so that the equipment stops working; when the temperature drops below the safety threshold, it is restarted through user operation.

[0095] In this embodiment, the adaptive AI control module 1 analyzes the skin condition through an AI algorithm based on ultrasonic imaging detection data and environmental data, including temperature and humidity. The environmental data automatically adjusts parameters such as ultrasonic frequency, essence delivery volume, and temperature according to different skin conditions and environmental conditions. It has a learning function and continuously optimizes the adjustment strategy based on user historical data to improve the care effect. The adaptive AI control module 1 is composed of a central processing unit, a storage unit, and an AI algorithm module. The central processing unit is responsible for coordinating the work of each module, and the storage unit is used to store user data, skin condition data, environmental data, and AI algorithm models. The AI algorithm module includes a skin condition analysis algorithm, a parameter adjustment algorithm, and a learning optimization algorithm. The adaptive AI control module 1 is connected to the ultrasonic imaging detection module 3, the environmental perception module 7, the multi-frequency ultrasonic module 2, the automatic essence delivery module 4, the temperature control module 5, and the high temperature alarm module 6 via a data bus to realize data collection and the sending of control instructions.

[0096] Receive skin condition data from the ultrasonic imaging detection module 3 and environmental data from the environmental perception module 7; then, process the data using the skin condition analysis algorithm to identify skin type and current skin condition; generate adjustment parameters for the current skin condition and environmental conditions based on preset care rules and AI algorithms; send adjustment instructions to the corresponding modules to achieve automatic adjustment of device parameters; store user usage data and care effect feedback, and update the AI model through learning optimization algorithms to improve the accuracy of subsequent care

[0097] Skin condition analysis uses a convolutional neural network algorithm to extract and classify features from ultrasound images; the parameter adjustment algorithm uses fuzzy logic control to generate appropriate adjustment parameters based on the fuzzy processing of skin condition and environmental data; the learning optimization algorithm uses reinforcement learning, using the user's care effect score as a reward signal to continuously optimize the adjustment strategy.

[0098] Generating a care plan based on user historical data includes the following steps:

[0099] S121. Collect user data, including the user's age, gender, skin type history, past care effect feedback, etc., and store them in the storage unit of the adaptive AI control module 1;

[0100] S122. Utilize the user profiling technology within the AI algorithm to analyze user data and establish a personalized care needs model. For example, young users are more concerned about pore shrinkage, while older users are more concerned about wrinkle improvement.

[0101] S123, obtaining current skin condition data and environmental data, where the skin condition data includes stratum corneum thickness, moisture content, and pore size, and the environmental data includes temperature and humidity;

[0102] S124. Develop a care plan based on the user's care needs model, skin condition data, and environmental data. The care plan includes ultrasound frequency, essence formula, delivery volume, temperature, care time, etc.;

[0103] S125. The device works according to the generated nursing plan and records the user's feedback data for updating the user's personalized demand model to achieve continuous optimization of the nursing plan.

[0104] The nursing demand model uses a weighted scoring algorithm, which is expressed as follows:

[0105] S=ω1·a+ω2·s+ω3·e

[0106] In the above formula, S is the user's attention score for a certain care effect, a is the age score, s is the skin condition score, e is the past effect score, ω1 is the age weight coefficient, ω2 is the skin condition weight coefficient, and ω3 is the past effect weight coefficient.

[0107] In this embodiment, the environmental sensing module 7 has a built-in environmental sensor that monitors environmental parameters such as temperature and humidity in real time. It uses this environmental data to optimize the essence delivery and temperature control strategies. For example, in a dry environment, the essence delivery volume is increased and the device temperature is lowered to reduce essence evaporation; in a humid environment, the delivery volume is appropriately reduced and the temperature is increased to promote essence absorption. The environmental sensing module 7 includes an environmental temperature sensor 701, a humidity sensor 702, and a data acquisition circuit 703. The environmental temperature sensor 701 uses a thermocouple or thermistor, and the humidity sensor 702 uses a capacitive humidity sensor. The data acquisition circuit 703 converts the sensor's analog signal into a digital signal. The environmental sensor is installed on the device's housing and can sense the ambient temperature and humidity in real time. The data acquisition circuit 703 is connected to the adaptive AI control module 1 via a data cable and transmits environmental data to the adaptive AI control module 1.

[0108] The ambient temperature and humidity sensor 702 collects environmental data in real time, and the data acquisition circuit 703 converts the analog signal into a digital signal and transmits it to the adaptive AI control module 1; the adaptive AI control module 1 adjusts the essence delivery amount and temperature control parameters according to the environmental data and skin condition data.

[0109] Implementation plan: Input user data, the high-frequency ultrasonic probe 301 of the ultrasonic imaging detection module 3 scans the user's facial skin to obtain an ultrasonic image, the image processing unit 303 uses the Canny edge detection algorithm to identify the boundary between the epidermis and the dermis, calculate the thickness of the stratum corneum, calculate the moisture content of the skin according to the ultrasonic attenuation coefficient formula, detect the pore size through image features, generate a skin condition report, including parameters such as stratum corneum thickness, moisture content, pore size, etc., and send it to the adaptive AI control module 1; the temperature sensor 501 and humidity sensor 702 of the environmental sensing module 7 collect the ambient temperature and humidity and transmit them to the adaptive AI control module 1; the adaptive AI control module 1 formulates a nursing plan based on the user data, skin condition data and environmental data. The nursing plan includes ultrasonic frequency, essence formula, delivery volume, temperature, and nursing time; the multi-frequency ultrasonic module 2 uses ultrasonic waves of different frequencies to Used on the skin to promote the penetration of essence, the automatic essence delivery module 4 switches to the corresponding formula storage tank, the micro pump 401 delivers the essence according to the delivery volume, the flow sensor 402 monitors and feeds back the flow data in real time to ensure accurate delivery, and the temperature control module 5 drives the heating element to work through the PID control algorithm to stabilize the temperature of the contact part of the equipment at the optimal temperature. The temperature sensor 501 feeds back the temperature data in real time to adjust the heating power; the high temperature alarm module 6 monitors the equipment temperature in real time. During the entire nursing process, the temperature is maintained within the preset safety threshold. When the equipment temperature exceeds the preset safety threshold, the system automatically triggers the high temperature alarm and prompts the user through sound and light; after the alarm is triggered, the system automatically stops working to ensure safe use; after the nursing is completed, the user feedbacks that the skin feels moisturized, and the adaptive AI control module 1 records the nursing parameters and user feedback, updates the user's personalized needs model, and optimizes the subsequent nursing plan.

[0110] The ultrasonic imaging detection module 3 of the present invention obtains skin status data in real time, provides a decision-making basis for the adaptive AI control module 1, and accurately detects key parameters such as stratum corneum thickness and moisture content through high-frequency ultrasonic imaging and image processing technology to ensure that subsequent care plans are targeted; the environmental perception module 7 collects ambient temperature, humidity and other data to enable the equipment to adapt to different environmental conditions; the adaptive AI control module 1 combines skin status data and environmental data, generates optimal care parameters through algorithms, has a learning function, and can continuously optimize and adjust strategies based on user historical data to achieve truly personalized care; the multi-frequency ultrasonic module 2 promotes the penetration of essence through ultrasonic waves of different frequencies, the automatic delivery module ensures that the essence is delivered on demand, and the temperature control module 5 maintains the optimal delivery temperature. The three work together to achieve efficient and safe skin care; the high temperature alarm module 6 monitors the equipment temperature in real time, and promptly alarms and stops working when the temperature is abnormal to ensure user safety.

[0111] Although preferred embodiments of the present invention have been described, further changes and modifications may be made to these embodiments by those skilled in the art once the basic inventive concepts are understood. It is apparent that various changes and modifications may be made to the present invention by those skilled in the art without departing from the spirit and scope of the present invention. Thus, the present invention is intended to encompass such changes and modifications as fall within the scope of equivalents of the present invention.

Claims

1. A beauty system based on multi-frequency ultrasound and ultrasound imaging detection, characterized in that: include: The multi-frequency ultrasound module acts on the skin through ultrasound waves of different frequencies to promote the penetration of essences and is connected to the adaptive AI control module; Ultrasonic imaging detection module, which uses high-frequency ultrasonic imaging technology to detect skin conditions in real time and connects to the adaptive AI control module; Automatic essence delivery module, which automatically adjusts the amount and frequency of essence delivery based on skin condition and AI analysis results, and is connected to the adaptive AI control module; The temperature control module monitors the device temperature in real time and automatically adjusts it to ensure that the essence is delivered at the optimal temperature. It is connected to the adaptive AI control module. High temperature alarm module, when the device temperature exceeds the preset safety threshold, triggers a high temperature alarm and prompts the user through sound and light, connected to the adaptive AI control module; Environmental perception module, real-time monitoring of ambient temperature and humidity, connected to the adaptive AI control module; The adaptive AI control module analyzes skin conditions and optimizes adjustment strategies to control the operating parameters of other modules.

2. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: The multi-frequency ultrasound module includes: Multi-frequency ultrasonic generator, used to generate 10kHz-5MHz ultrasonic signals; Ultrasonic transducer, used to convert electrical signals into ultrasonic mechanical vibrations acting on the skin surface; The frequency regulation circuit adjusts the output frequency of the multi-frequency ultrasonic generator in real time according to the received control signal and is connected to the adaptive AI control module.

3. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: Ultrasonic imaging detection module includes: High-frequency ultrasound probe, used to scan the skin and obtain echo signals of the skin's internal structure; An image acquisition circuit, used for converting the echo signal into a digital image signal; The image processing unit is used to analyze and process digital images, extract skin condition data, and connect the image acquisition circuit and the adaptive AI control module.

4. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: The temperature control module includes: Temperature sensor, used to monitor the temperature of the part where the device contacts the skin in real time; a heating / cooling element for adjusting the temperature according to a control signal; The temperature control circuit is used to achieve precise control of the heating / cooling element and connect the heating / cooling element and the adaptive AI control module.

5. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: The high temperature alarm module includes: The temperature threshold comparator is used to compare the real-time temperature collected by the temperature sensor with the preset safety threshold. The input end is connected to the temperature sensor, and the output end is connected to the sound and light alarm device and the power control circuit; the sound and light alarm device is used to sound and light alarm; The power control circuit is used to cut off the working power of the equipment and connect the power supply of the equipment when an alarm is triggered.

6. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: The environmental sensing module includes an environmental temperature sensor, a humidity sensor, and a data acquisition circuit; The ambient temperature sensor is a thermocouple or thermistor, the humidity sensor is a capacitive humidity sensor, and the data acquisition circuit converts the analog signal of the sensor into a digital signal and connects it to the adaptive AI control module.

7. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: Automatic essence delivery module includes: A micro pump is used to deliver the essence, with the input end connected to the essence storage tank and the switching valve through a pipeline; The flow sensor is used to monitor the flow of the essence in real time. It is installed on the output pipe of the micro pump and connected to the adaptive AI control module. Essence storage tank, used to store several different formulas of essences; The switching valve is used to select the essence formula to be delivered according to the instructions of the adaptive AI control module.

8. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 2, characterized in that: The multi-frequency ultrasound module dynamically adjusts the ultrasound frequency according to the thickness of the stratum corneum and the moisture content of the skin. The expression is as follows: f=f0+k1·d+k2·(1-w) In the above formula, f is the currently required ultrasonic frequency, f0 is the initial frequency, k1 and k2 are adjustment coefficients, d is the thickness of the stratum corneum, and w is the percentage of skin moisture content.

9. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 7, characterized in that: The automatic essence delivery module delivers essence based on the flow rate required by the skin. The expression of the essence delivery flow rate is as follows: Q=Q0·(1+c·t+d·p) In the above formula, Q is the current essence delivery flow rate, Q0 is the basic flow rate, t is the skin temperature, c is the temperature adjustment coefficient, p is the pore size, and d is the pore adjustment coefficient.

10. The beauty system based on multi-frequency ultrasound and ultrasound imaging detection according to claim 1, characterized in that: The adaptive AI control module generates a nursing plan based on the user's historical data. The nursing demand model of the nursing plan adopts a weighted scoring algorithm, which is expressed as follows: S=ω1·a+ω2·s+ω3·e In the above formula, S is the user's attention score for a certain care effect, a is the age score, s is the skin condition score, e is the past effect score, ω1 is the age weight coefficient, ω2 is the skin condition weight coefficient, and ω3 is the past effect weight coefficient.

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