Skin health monitoring and analyzing method based on cloud computing

Abstract

The invention discloses a skin health monitoring and analysis method based on cloud computing, and relates to the technical field of monitoring and analysis. After user authorization, skin grease data and environment data of the user are collected in real time through intelligent hardware equipment, and preliminary health assessment is conducted on the user; taking the preliminary health assessment result as the skin state of the user, and predicting the risk probability of skin health problems; according to the predicted risk probability, real-time health early warning is generated, and an intelligent reminding and protection scheme is sent to the user; based on the intelligent reminding and protection scheme, a personalized skin care scheme is automatically generated; after the user feeds back the skin symptoms, the skin care suggestions are adjusted according to feedback information, and the personalized care scheme is optimized. Through accurate data acquisition, intelligent health assessment and personalized nursing scheme design, the efficiency and precision of skin health management are comprehensively improved, and the system has remarkable innovativeness and practicability.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and analysis technology, and in particular to a skin health monitoring and analysis method based on cloud computing. Background Art

[0002] With the rapid development of information technology, especially the widespread application of cloud computing and smart hardware technology, skin health monitoring has gradually evolved from traditional manual inspections and single skin care plans to a more intelligent and personalized direction; cloud computing-based skin health monitoring and analysis technology can utilize the powerful data processing capabilities of the cloud platform, combined with real-time collection of user skin conditions by smart hardware devices, to provide users with comprehensive and scientific skin health assessments and care plans; in recent years, smart wearable devices, such as smart bracelets, smart skin testing instruments, etc., have become important tools for monitoring skin conditions, by collecting multi-dimensional information such as skin oil data and environmental data in real time, to assist users in understanding the health of their own skin.

[0003] However, existing skin health monitoring technologies still have certain shortcomings; most existing technologies rely on the collection of a single data source and a simple health assessment model, lacking a systematic risk prediction and dynamic adjustment mechanism; many smart devices only provide a single skin detection function, unable to comprehensively consider the impact of environmental factors such as temperature and humidity on skin health, and unable to perform accurate health assessments and formulate care plans based on individual differences of users; in addition, health monitoring in existing technologies is mostly static assessment, which makes it difficult to respond to changes in the user's skin condition in real time, and often ignores the different skin problems and feedback that may occur during actual use by the user. Summary of the invention

[0004] In view of the problems of the above-mentioned background technology that relies on the collection of a single data source and a simple health assessment model, and lacks a systematic risk prediction and dynamic adjustment mechanism, the present invention proposes a skin health monitoring and analysis method based on cloud computing.

[0005] Therefore, the problem to be solved by the present invention is how to solve the problem of relying on the collection of a single data source and a simple health assessment model, lacking a systematic risk prediction and dynamic adjustment mechanism.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a skin health monitoring and analysis method based on cloud computing, which includes: step S1: after user authorization, the user's skin oil data and environmental data are collected in real time through an intelligent hardware device, the intelligent hardware device includes a smart bracelet and a skin detection instrument, the skin detection instrument is used to collect the user's skin oil data, and the smart bracelet is used to collect environmental data, the environmental data includes temperature and humidity data, and the skin oil data and environmental data are only collected once each time; step S2: based on the user's skin oil data and environmental data, a preliminary health assessment is performed on the user; step S3: using the preliminary health assessment result as the user's skin state, and predicting the risk probability of skin health problems; based on the predicted risk probability, generating a real-time health warning, and sending an intelligent reminder and protection plan to the user; step S4: based on the intelligent reminder and protection plan, according to the user's skin data and prediction results, combined with the individual's historical skin health records, automatically generating a personalized skin care plan; step S5: after the user feedbacks skin symptoms, adjusting the skin care suggestions according to the feedback information, and optimizing the personalized care plan.

[0007] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S2 includes: Based on the user's skin oil data and environmental data, a preliminary skin condition assessment model is built through the cloud platform, as follows: ; ; in, represents the user's overall skin health score, Indicates The skin oil data collected Indicates the total number of collections. Indicates The environmental data collected represents the combined function of skin oil data and environmental data, Indicates the preset The comprehensive weight coefficient of the skin oil data and environmental data collected this time is and Indicates the preset adjustment parameters, Indicates the preset impact factor.

[0008] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S3 also includes: According to the preliminary skin condition assessment model, the risk probability of the user having skin health problems is calculated by a machine learning algorithm, as follows: ; in, Indicates the risk probability of the user developing skin health problems, Indicates the preset environmental factor adjustment items. , and Represents the preset regression coefficient.

[0009] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S3 also includes: The risk probability , converted into health status indicators and output warnings, as follows: ; in, Indicates health status indicators, Represents the preset risk probability critical value, Indicates a high-risk status indicator, Indicates a low risk status indicator.

[0010] Based on the health status indicator , sending smart reminders and protection plans to users in real time. The smart reminders include SMS reminders, App push reminders and email reminders. The content of the reminders includes skin problems, environmental impacts and care suggestions.

[0011] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S4 includes: Calculate the skin health status assessment results and dynamically generate personalized skin care plans, as follows: ; in, Indicates the comprehensive health level of the user's current skin combined with historical skin health records, Represents the user's historical skin health record, , and Indicates the preset weighting coefficient.

[0012] Preset skin health assessment threshold range; If the user's current skin health level is less than the minimum value within the skin health assessment threshold range, and the health status index for , an emergency care plan is generated.

[0013] If the user's current skin health level If the skin health assessment value is greater than or equal to the minimum value within the skin health assessment threshold range and less than the maximum value within the skin health assessment threshold range, a medium care plan is generated.

[0014] If the user's current skin health level is greater than or equal to the maximum value within the skin health assessment threshold range, and the health status index for , a routine care plan is generated.

[0015] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S5 includes: Collect user feedback information and calculate the comprehensive score of user feedback, as follows: ; in, Represents the comprehensive rating of user feedback. Indicates the rating of skin symptoms reported by users, represents the user's comfort rating, and They respectively represent the weighting coefficients of the preset skin symptom scores and comfort scores.

[0016] As a preferred solution of the cloud computing-based skin health monitoring and analysis method of the present invention, the specific implementation process of step S5 also includes: Comprehensive rating based on user feedback and the user's historical skin health records , calculate the user's skin health difference, the calculation formula is as follows: ; in, Represents a difference in the user's skin health.

[0017] Preset difference threshold, if the user's skin health is different If the difference is greater than the difference threshold, it is determined that the user's skin health status has changed significantly, and the current skin care plan is automatically adjusted.

[0018] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the cloud computing-based skin health monitoring and analysis method as described in the first aspect of the present invention are implemented.

[0019] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the cloud computing-based skin health monitoring and analysis method as described in the first aspect of the present invention are implemented.

[0020] The beneficial effects of the present invention are as follows: the present invention collects skin oil data and environmental data through intelligent hardware devices, realizes real-time monitoring of the user's skin and environmental status, not only ensures the accuracy and comprehensiveness of the data, but also provides a reliable basis for subsequent health assessment, and helps to discover potential skin problems at an early stage; through the preliminary health assessment model to analyze the data, combined with skin oil and environmental data, provides a personalized skin status assessment, thereby realizing health prediction for different skin types; the implementation of this step can quickly identify skin health problems that users may face, and improves the accuracy of diagnosis; through machine learning algorithms to evaluate skin health risks, and provide real-time health warnings and protection plans, effectively preventing the further development of skin problems; combined with historical health records, provides personalized care plans to ensure that each user receives tailored care suggestions based on their specific circumstances, thereby improving the user's skin care effect; by adjusting the care plan in real time, it is ensured that the skin care suggestions are optimized after each user feedback, greatly improving the adaptability and long-term effect of the care; the present invention comprehensively improves the efficiency and accuracy of skin health management through precise data collection, intelligent health assessment and personalized care plan design, and has significant innovation and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 Schematic diagram of the steps of the cloud computing-based skin health monitoring and analysis method. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0024] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0025] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0026] Example 1: Reference Figure 1 , which is the first embodiment of the present invention, provides a skin health monitoring and analysis method based on cloud computing, including: Step S1: After authorization by the user, the user's skin oil data and environmental data are collected in real time through the smart hardware device, the smart hardware device includes a smart bracelet and a skin detection instrument, the skin detection instrument is used to collect the user's skin oil data, the smart bracelet is used to collect environmental data, the environmental data includes temperature and humidity data, and the skin oil data and environmental data are only collected once each time.

[0027] Step S2: Perform a preliminary health assessment on the user based on the user's skin oil data and environmental data.

[0028] Specifically, based on the user's skin oil data and environmental data, a preliminary skin condition assessment model is constructed through the cloud platform (the model combines the relationship between skin data and environmental factors to assess the user's current skin condition and predicts possible skin problems such as dry skin, excessive oil or allergies based on historical data and environmental changes), as follows: ; ; in, represents the user's overall skin health score, Indicates The skin oil data collected Indicates the total number of collections. Indicates The environmental data collected represents the combined function of skin oil data and environmental data (used to measure the mutual influence of skin oil secretion and environmental factors), Indicates the preset The comprehensive weight coefficient of the skin oil data and environmental data collected this time is and Indicates the preset adjustment parameters, Indicates the preset impact factor.

[0029] Step S3: Use the preliminary health assessment result as the user's skin condition and predict the risk probability of skin health problems; generate real-time health warnings based on the predicted risk probability, and send intelligent reminders and protection plans to the user.

[0030] Specifically, according to the preliminary skin condition assessment model, the risk probability of the user having skin health problems (such as acne, skin allergies, etc.) is calculated through machine learning algorithms (such as decision trees, random forests, etc.) (the model assesses the potential risk of skin problems based on the user's skin oil data, environmental data and individual historical health records, and generates a risk prediction value), as follows: ; in, Indicates the risk probability of the user developing skin health problems (ranging from 0 to 1, with higher values ​​indicating greater risk), Indicates the preset environmental factor adjustment items (indicates the impact of the current environment on skin health), , and Represents the preset regression coefficient.

[0031] Furthermore, the risk probability , converted into health status indicators and output warnings, as follows: ; in, Indicates health status indicators, Indicates the preset risk probability threshold (usually set to 0.5 (i.e., a probability of more than 50% is considered high risk)), Indicates a high-risk status indicator, Indicates a low risk status indicator.

[0032] Provide users with a preliminary skin health risk analysis report. The report includes potential skin problem types, risk levels and possible causes, providing guidance for users' subsequent health management.

[0033] Based on the health status indicator , sending smart reminders and protection plans to users in real time. The smart reminders include SMS reminders, App push reminders and email reminders. The content of the reminders includes skin problems, environmental impacts and care suggestions, and are adjusted based on user feedback.

[0034] Step S4: Based on the intelligent reminder and protection plan, a personalized skin care plan is automatically generated according to the user's skin data and prediction results, combined with the individual's historical skin health records.

[0035] Specifically, the skin health status assessment results are calculated and a personalized skin care plan is dynamically generated, as follows: ; in, Indicates the comprehensive health level of the user's current skin combined with historical skin health records, Represents the user's historical skin health record, , and Indicates the preset weighting coefficient.

[0036] Preset skin health assessment threshold range; If the user's current skin health level is less than the minimum value within the skin health assessment threshold range, and the health status index for , an emergency care plan is generated.

[0037] If the user's current skin health level If the skin health assessment value is greater than or equal to the minimum value within the skin health assessment threshold range and less than the maximum value within the skin health assessment threshold range, a medium care plan is generated.

[0038] If the user's current skin health level is greater than or equal to the maximum value within the skin health assessment threshold range, and the health status index for , a routine care plan is generated.

[0039] Step S5: Each time the user reports skin symptoms (such as allergies, dryness, etc.), the system adjusts the skin care recommendations in real time based on the feedback information, optimizes the personalized care plan, and ensures that the plan always meets the user's current skin health status.

[0040] Specifically, collect user feedback information and calculate the comprehensive score of user feedback, as follows: ; in, Represents the comprehensive rating of user feedback. Indicates the score of skin symptoms reported by users (such as allergy, dryness, redness, etc., each symptom is given a score). Indicates the user's comfort rating (reflecting the user's subjective feeling after using a skin care product or method), and They respectively represent the preset skin symptom scores and the weighting coefficients of the comfort scores (used to adjust the influence of skin symptoms and comfort on the overall feedback).

[0041] Further, based on the comprehensive rating of user feedback and the user's historical skin health records , calculate the user's skin health difference, the calculation formula is as follows: ; in, Represents a difference in the user's skin health.

[0042] Preset difference threshold, if the user's skin health is different If the difference is greater than the difference threshold, it is determined that the user's skin health status has changed significantly, and the current skin care plan is automatically adjusted.

[0043] This embodiment also provides a computer device, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the cloud computing-based skin health monitoring and analysis method proposed in the above embodiment.

[0044] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0045] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the cloud computing-based skin health monitoring and analysis method proposed in the above embodiment is implemented.

[0046] In summary, the present invention collects skin oil data and environmental data through intelligent hardware devices, thereby realizing real-time monitoring of the user's skin and environmental status, which not only ensures the accuracy and comprehensiveness of the data, but also provides a reliable basis for subsequent health assessments, and helps to discover potential skin problems at an early stage; by analyzing the data through a preliminary health assessment model, combined with skin oil and environmental data, a personalized skin status assessment is provided, thereby realizing health predictions for different skin types; the implementation of this step can quickly identify skin health problems that users may face, thereby improving the accuracy of diagnosis; skin health risks are assessed through machine learning algorithms, and real-time health warnings and protection plans are provided to effectively prevent further development of skin problems; personalized care plans are provided in combination with historical health records to ensure that each user receives tailored care suggestions based on their specific circumstances, thereby improving the user's skin care effect; by adjusting the care plan in real time, it is ensured that the skin care suggestions are optimized after each user feedback, thereby greatly improving the adaptability and long-term effects of care; the present invention comprehensively improves the efficiency and accuracy of skin health management through precise data collection, intelligent health assessment and personalized care plan design, and has significant innovation and practicality.

[0047] Embodiment 2: In this embodiment 2, a skin health monitoring and analysis method based on cloud computing is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0048] In this embodiment, the purpose is to verify the effectiveness and innovation of the invention content of collecting skin oil data and environmental data based on smart hardware and combining with the cloud platform to conduct preliminary skin health assessment through actual experimental data. To this end, 30 volunteers of different ages and skin types were selected for a two-week experiment, using the smart bracelet and skin detection instrument to collect environmental data and skin oil data respectively. The experimental design is divided into three stages: Data collection phase (Day 1-7): Volunteers wear smart bracelets and skin detection instruments. The smart bracelets record environmental data (such as temperature and humidity), and the skin detection instrument collects skin oil data in real time. Each volunteer collects data once at a fixed time every day, and each collection includes collecting skin oil data and environmental data once.

[0049] Initial health assessment phase (Days 8-10): Based on the data from the data collection phase, a preliminary skin condition assessment model is built through the cloud platform, combined with each user's skin oil data and environmental data, and a preliminary skin health assessment is performed using a machine learning algorithm. The focus of the assessment is to predict the risk of skin problems, mainly including potential problems such as dry skin, excessive oil and allergies.

[0050] Health warning and care plan generation stage (Days 11-14): Based on the initial health assessment, health warnings are automatically generated according to risk prediction results, and intelligent reminders and personalized care plans are sent to each volunteer based on the skin health assessment model. Volunteers provide subjective scores based on real-time feedback on skin symptoms (such as dryness, allergies, etc.), and the system adjusts the care plan based on these feedbacks.

[0051] Table 1 Skin health assessment experimental data table Test subjects Skin oil data (mg / cm²) Temperature (°C) humidity(%) Overall Skin Health Score Risk probability (0-1) Health status indicators Volunteer 1 1.2 24 55 75 0.34 Low Risk Volunteer 2 2.5 26 60 68 0.52 High Risk Volunteer 3 0.8 22 50 80 0.21 Low Risk Volunteer 4 1.7 28 65 70 0.47 Low Risk Volunteer 5 1.3 23 53 76 0.39 Low Risk Volunteer 6 2.1 27 62 65 0.56 High Risk Volunteer 7 1.0 25 58 78 0.29 Low Risk According to Table 1, the relationship between skin oil data and environmental data: there is a clear correlation between skin oil data and environmental factors (temperature and humidity). For example, volunteer 2 has a higher skin oil data (2.5 mg / cm²), and its environmental temperature (26°C) and humidity (60%) are higher, and the skin oil secretion also increases. This phenomenon is consistent with the general understanding in the prior art, that is, the increase in temperature and humidity usually promotes the sebaceous glands to secrete more oil.

[0052] Comprehensive skin health score and risk probability: The test data showed that there was a negative correlation between the comprehensive skin health score and the risk probability. Volunteer 3 had a higher comprehensive skin health score (80) and a lower risk probability (0.21), while volunteer 6 had a lower comprehensive skin health score (65) and a higher risk probability (0.56). This result shows that the user's skin problem risk can be effectively predicted by combining skin oil data with environmental data, especially in an environment with high temperature and high humidity, where increased skin oil secretion may lead to higher health risks.

[0053] Effectiveness of health status indicators: The health status indicators (calculated based on the comprehensive skin health score and risk probability) can effectively reflect the user's skin health status. When the risk probability value is greater than 0.5, that is, when the probability exceeds 50%, the health status indicator is High Risk, and more active skin care measures need to be taken. For example, volunteer 6 has a high risk probability (0.56), so the health status indicator is High Risk, indicating that his skin condition is poor and requires timely care adjustments.

[0054] Through this experiment, it can be clearly seen that the present invention is innovative in the combined analysis of skin oil data and environmental data. In particular, the skin health assessment model performed through the cloud platform can accurately assess the user's health status and generate personalized care plans based on real-time data. Compared with the traditional single-dimensional skin health assessment method, the present invention provides a multi-factor, comprehensive assessment and management system that can adjust health warnings and care recommendations in real time, providing users with a more scientific and personalized skin health management plan.

[0055] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring and analyzing skin health based on cloud computing, characterized in that: include: Step S1: after authorization by the user, the user's skin oil data and environmental data are collected in real time through the intelligent hardware device, the intelligent hardware device includes a smart bracelet and a skin detection instrument, the skin detection instrument is used to collect the user's skin oil data, the smart bracelet is used to collect environmental data, the environmental data includes temperature and humidity data, and the skin oil data and environmental data are collected only once each time; Step S2: Performing a preliminary health assessment on the user based on the user's skin oil data and environmental data; Step S3: using the preliminary health assessment result as the user's skin condition and predicting the risk probability of skin health problems; Generate real-time health warnings based on predicted risk probabilities and send intelligent reminders and protection plans to users; Step S4: Based on the intelligent reminder and protection plan, according to the user's skin data and prediction results, combined with the individual's historical skin health records, automatically generate a personalized skin care plan; Step S5: After the user provides feedback on skin symptoms, the skin care recommendations are adjusted based on the feedback information to optimize the personalized care plan.

2. The cloud computing-based skin health monitoring and analysis method according to claim 1, characterized in that: The specific implementation process of step S2 includes: Based on the user's skin oil data and environmental data, a preliminary skin condition assessment model is built through the cloud platform, as follows: ； ； in, represents the user's overall skin health score, Indicates The skin oil data collected Indicates the total number of collections. Indicates The environmental data collected represents the combined function of skin oil data and environmental data, Indicates the preset The comprehensive weight coefficient of the skin oil data and environmental data collected this time is and Indicates the preset adjustment parameters, Indicates the preset impact factor.

3. The cloud computing-based skin health monitoring and analysis method according to claim 2, characterized in that: The specific implementation process of step S3 includes: According to the preliminary skin condition assessment model, the risk probability of the user having skin health problems is calculated by a machine learning algorithm, as follows: ； in, Indicates the risk probability of users having skin health problems, Indicates the preset environmental factor adjustment items. , and Represents the preset regression coefficient.

4. The cloud computing-based skin health monitoring and analysis method according to claim 3, characterized in that: The specific implementation process of step S3 also includes: The risk probability , converted into health status indicators and output warnings, as follows: ； in, Indicates health status indicators, Represents the preset risk probability critical value, Indicates a high-risk status indicator, Indicator indicating low risk status; Based on the health status indicator , sending smart reminders and protection plans to users in real time. The smart reminders include SMS reminders, App push reminders and email reminders. The content of the reminders includes skin problems, environmental impacts and care suggestions.

5. The cloud computing-based skin health monitoring and analysis method according to claim 4, characterized in that: The specific implementation process of step S4 includes: Calculate the skin health status assessment results and dynamically generate personalized skin care plans, as follows: ； in, Indicates the comprehensive health level of the user's current skin combined with historical skin health records, Represents the user's historical skin health record, , and Indicates the preset weighting coefficient; Preset skin health assessment threshold range; If the user's current skin health level is less than the minimum value within the skin health assessment threshold range, and the health status index for , an emergency care plan is generated; If the user's current skin health level If the skin health assessment threshold is greater than or equal to the minimum value within the skin health assessment threshold range and less than the maximum value within the skin health assessment threshold range, a medium care plan is generated; If the user's current skin health level is greater than or equal to the maximum value within the skin health assessment threshold range, and the health status index for , a routine care plan is generated.

6. The cloud computing-based skin health monitoring and analysis method according to claim 5, characterized in that: The specific implementation process of step S5 includes: Collect user feedback information and calculate the comprehensive score of user feedback, as follows: ； in, Represents the comprehensive rating of user feedback. Indicates the rating of skin symptoms reported by users, represents the user's comfort rating, and They respectively represent the weighting coefficients of the preset skin symptom scores and comfort scores.

7. The cloud computing-based skin health monitoring and analysis method according to claim 6, characterized in that: The specific implementation process of step S5 also includes: Comprehensive rating based on user feedback and the user's historical skin health records , calculate the user's skin health difference, the calculation formula is as follows: ； in, Represents differences in users’ skin health; Preset difference threshold, if the user's skin health is different If the difference is greater than the difference threshold, it is determined that the user's skin health status has changed significantly, and the current skin care plan is automatically adjusted.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the cloud computing-based skin health monitoring and analysis method described in any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the cloud computing-based skin health monitoring and analysis method according to any one of claims 1 to 7 are implemented.

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