Personalized solar term skin care method and system based on AI drive

Abstract

The invention relates to the technical field of solar term skin care, in particular to a personalized solar term skin care method and system based on AI drive, and the method comprises the steps: recognizing a skin care index value set corresponding to skin care indexes, sequentially extracting skin care index values from the skin care index value set, recognizing associated skin care data containing the skin care index values from standard solar term skin care data, and extracting the skin care index values from the associated skin care data; constructing a proportion distribution diagram of the solar term environment indexes according to the associated skin care data, calculating a mode integral and a mode distance of a current environment index value by utilizing the proportion distribution diagram, calculating skin care recommendation degrees according to the mode integral and the mode distance to obtain a skin care recommendation degree set, and calculating a comprehensive skin care recommendation degree according to the skin care recommendation degree set to obtain the skin care recommendation degree. And obtaining a comprehensive skin care recommendation degree set, identifying a target skin care index value corresponding to the maximum skin care recommendation degree, obtaining a target skin care index value set, and performing personalized solar term skin care according to the target skin care index value set. The intelligent degree of the titanium rod high-temperature test can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of seasonal skin care, and in particular to an AI-driven personalized seasonal skin care method and system. BACKGROUND

[0002] With the improvement of living standards and the deepening of skin care concepts, consumers' demands for skin care have developed from basic moisturizing and cleaning to scientific care that pursues refinement and personalization. However, the current mainstream skin care recommendation methods have limitations of static and generalization, and are difficult to adapt to the complex effects of the dynamically changing external environment on the skin.

[0003] Existing skin care solutions, especially the recommendation of sunscreen and moisturizing products, mostly rely on static skin information of users or simple judgment of the weather of the day (such as "sunny" or "overcast"). The recommendation logic is usually simple, for example, only giving general recommendations according to the season (such as summer or winter), or only using the intensity of ultraviolet rays as a single variable to recommend the sun protection factor (SPF). This seasonal skin care method cannot quantitatively evaluate and accurately recommend a set of optimal skin care index values according to dynamic and multi-variable seasonal environmental parameters, and therefore, the current seasonal skin care method has the problem of poor skin care effect. SUMMARY

[0004] The present application provides an AI-driven personalized seasonal skin care method and system, which aims to improve the skin care effect of the current seasonal skin care method.

[0005] To achieve the above-mentioned purpose, the present application provides an AI-driven personalized seasonal skin care method, which comprises: obtaining standard seasonal skin care data, wherein the standard seasonal skin care data includes a set of recommended skin care index values under a set of seasonal environmental index values, the set of seasonal environmental index values includes ultraviolet intensity, environmental temperature, environmental humidity, environmental wind speed, and environmental air pressure, and the set of skin care index values includes single application amount of skin cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity; extracting skin care indexes in the set of skin care indexes in sequence, identifying a set of skin care index values corresponding to the skin care indexes, and extracting skin care index values in the set of skin care index values in sequence; identifying associated skin care data containing the skin care index values in the standard seasonal skin care data, and constructing a proportion distribution graph of the seasonal environmental index according to the associated skin care data, wherein the independent variable of the proportion distribution graph is the seasonal environmental index value, and the dependent variable is the proportion of the seasonal environmental index value; obtaining a current environment index value corresponding to the solstice environment index, calculating a mode integral and a mode distance of the current environment index value by using the proportion distribution diagram and pre-constructed AI technology, wherein the mode distance refers to an interval distance between a maximum environment index value corresponding to a maximum solstice environment index value proportion of the proportion distribution diagram and the current environment index value, and the mode integral refers to an area integral of the interval distance; calculating a skin care recommendation degree of the skin care index value under the current environment index value according to the mode integral and the mode distance, obtaining a skin care recommendation degree set, and the skin care recommendation degree corresponding to the current environment index value one by one; calculating a comprehensive skin care recommendation degree according to the skin care recommendation degree set, obtaining a comprehensive skin care recommendation degree set, and the comprehensive skin care recommendation degree corresponding to the skin care index value one by one; identifying a maximum skin care recommendation degree in the comprehensive skin care recommendation degree set, identifying a target skin care index value corresponding to the maximum skin care recommendation degree, obtaining a target skin care index value set, and performing personalized solstice skin care according to the target skin care index value set, wherein the target skin care index value corresponds to the skin care index one by one.

[0006] Optionally, the standard solstice skin care data includes: extracting solstice environment indexes in the solstice environment index set one by one; obtaining an environment index value sequence of the solstice environment index, obtaining multiple groups of environment index value sequences, and each group of environment index value sequences corresponding to a solstice environment index; performing permutation and combination according to the multiple groups of solstice environment index sequences, obtaining a solstice environment value combination sequence; extracting solstice environment value combinations in the solstice environment value combination sequence one by one, and receiving a recommended skin care index value combination input by a user according to the solstice environment value combination; constructing a corresponding relationship sample of the solstice environment value combination and the recommended skin care index value combination, collecting corresponding relationship samples of all solstice environment value combinations and recommended skin care index value combinations, and obtaining standard solstice skin care data.

[0007] Optionally, the proportion distribution diagram of the solstice environment index is constructed according to the associated skin care data, including: extracting environment index values in the environment index value sequence of the solstice environment index one by one; identifying an association relationship sample set containing the environment index value in the associated skin care data, and counting the number of association relationship samples in the association relationship sample set; obtaining the number of corresponding relationship samples of the associated skin care data, calculating the solstice environment index value proportion of the environment index value according to the number of association relationship samples and the number of corresponding relationship samples; According to the environment index value and the proportion of the festival environment index value in the pre-constructed proportion coordinate system, a point is drawn to obtain an environment index value-proportion scatter point set, wherein the horizontal axis of the proportion coordinate system represents the festival environment index value, and the vertical axis represents the proportion of the festival environment index value. The environment index value-proportion scatter point set is fitted to obtain a proportion distribution graph.

[0008] Optionally, the mode integral and the mode distance of the current environment index value are calculated by using the proportion distribution graph and the pre-constructed AI technology, including: The current environment index coordinate of the current environment index value on the horizontal axis of the proportion coordinate system is identified. The maximum environment index coordinate corresponding to the maximum festival environment index value proportion in the proportion distribution graph is identified. The coordinate difference between the maximum environment index coordinate and the current environment index coordinate is calculated, and the coordinate difference is taken as the mode distance. The integral coordinate interval is determined according to the maximum environment index coordinate and the current environment index coordinate. The interval proportion distribution curve corresponding to the integral coordinate interval in the proportion distribution graph is intercepted. The AI technology is used to calculate the area integral of the interval proportion distribution curve to obtain the mode integral.

[0009] Optionally, the skin care recommendation degree of the skin care index value under the current environment index value is calculated according to the mode integral and the mode distance to obtain a skin care recommendation degree set, including: The skin care recommendation degree is calculated according to the mode integral, the mode distance and a pre-constructed recommendation formula, wherein the recommendation formula is as follows:

[0010] wherein, represents the skin care recommendation degree of the jth skin care index value of the ith skin care index under the current environment index value, represents an integral term coefficient, represents a natural constant, represents the mode integral, represents a distance term coefficient, represents the mode distance; The skin care recommendation degrees corresponding to each current environment index value are collected to obtain a skin care recommendation degree set.

[0011] Optionally, the comprehensive skin care recommendation degree is calculated according to the skin care recommendation degree set to obtain a comprehensive skin care recommendation degree set, including: According to the skin care recommendation degree set, a point is drawn by using a pre-constructed regular polygon to obtain a recommendation degree point set, wherein the regular polygon is a regular pentagon. Connect the points according to the recommendation degree set to obtain the recommendation polygon; The overall skincare recommendation score is calculated based on the recommended polygon, and the overall skincare recommendation scores corresponding to each skincare indicator value in the skincare indicator value set are collected to obtain the overall skincare recommendation score set.

[0012] Optionally, the step of plotting points using pre-constructed regular polygons based on the skincare recommendation set to obtain a recommendation point set includes: Identify the polygon vertices in the regular polygon to obtain the polygon vertex set; A correspondence is established between the solar term environmental index set and the polygon vertex set to obtain an index vertex set, wherein the solar term environmental indexes in the solar term environmental index set and the polygon vertices in the polygon vertex set have a one-to-one correspondence. Extract skincare recommendation scores sequentially from the skincare recommendation score set and identify the corresponding related indicator vertices of the skincare recommendation scores; Identify the path connecting the center vertices of the associated index vertices, wherein the path connecting the center vertices refers to the straight line segment path determined by the associated index vertex and the center of the regular polygon; The extension starting point and extension direction are determined based on the path connecting the central vertices, wherein the extension starting point is the center of the regular polygon in the path connecting the central vertices, and the extension direction is the center of the regular polygon pointing to the associated index vertex. Using the aforementioned starting point and direction of extension, the recommendation level is extended based on the skincare recommendation level to obtain the recommendation extension path. Identify the endpoint of the recommendation extension path, and use the endpoint as the recommendation point to obtain the recommendation point set.

[0013] Optionally, calculating the comprehensive skincare recommendation score based on the recommended polygon includes: Calculate the area of ​​the recommended polygon, and based on the polygon area, calculate the overall skincare recommendation using a pre-constructed comprehensive formula, wherein the comprehensive formula is as follows:

[0014] in, This represents the overall skincare recommendation level based on the value of the j-th skincare indicator of the i-th skincare indicator. This indicates the recommended adjustment index. Represents the area of ​​a polygon.

[0015] Optionally, the step of identifying the target skincare indicator value corresponding to the maximum skincare recommendation score to obtain the target skincare indicator value set includes: Identify the target skincare indicator value corresponding to the maximum skincare recommendation score within the set of skincare indicator values; By collecting the target skincare indicator values ​​corresponding to each skincare indicator, a set of target skincare indicator values ​​is obtained.

[0016] To achieve the above objectives, the present invention also provides an AI-driven personalized seasonal skincare system, comprising: The standard solar term skincare data acquisition module is used to acquire standard solar term skincare data. The standard solar term skincare data includes the recommended skincare index set under the solar term environmental index set. The solar term environmental index set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. The percentage distribution map construction module is used to extract skin care indicators sequentially from the skin care indicator set, identify the skin care indicator value set corresponding to the skin care indicator, and extract skin care indicator values ​​sequentially from the skin care indicator value set; identify the associated skin care data containing skin care indicator values ​​in the standard solar term skin care data, and construct the percentage distribution map of solar term environmental indicators based on the associated skin care data. The independent variable of the percentage distribution map is the value of the solar term environmental indicator, and the dependent variable is the percentage of the value of the solar term environmental indicator. The comprehensive skincare recommendation set calculation module is used to obtain the current environmental index value corresponding to the solar term environmental index, and calculate the mode integral and mode distance of the current environmental index value using a proportion distribution map and pre-built AI technology. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value; the mode integral refers to the regional integral of the interval distance. Based on the mode integral and mode distance, the skincare recommendation degree of the skincare index value under the current environmental index value is calculated, resulting in a skincare recommendation degree set, with each skincare recommendation degree corresponding to a specific current environmental index value. Finally, the comprehensive skincare recommendation degree is calculated based on the skincare recommendation degree set, resulting in a comprehensive skincare recommendation degree set, which also corresponds to a specific skincare index value. The personalized seasonal skincare module is used to identify the maximum skincare recommendation score in the overall skincare recommendation score set, identify the target skincare indicator value corresponding to the maximum skincare recommendation score, and obtain the target skincare indicator value set. The target skincare indicator value corresponds one-to-one with the skincare indicator, and personalized seasonal skincare is performed based on the target skincare indicator value set.

[0017] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: A memory that stores at least one instruction; and a processor that executes the instructions stored in the memory to implement the AI-driven personalized seasonal skincare method described above.

[0018] To address the aforementioned issues, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the AI-driven personalized seasonal skincare method described above.

[0019] Beneficial Effects: To address the problems described in the background art, this invention first requires obtaining standard seasonal skincare data to identify the target skincare indicator value set corresponding to each skincare indicator. This standard seasonal skincare data includes a recommended skincare indicator value set under the seasonal environmental indicator value set. The seasonal environmental indicator value set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare indicator value set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. Since the target skincare indicator value set is composed of the target skincare indicators corresponding to each skincare indicator... The data is composed of indicator values. Therefore, targeted analysis can be performed on each skincare indicator value under multiple current environmental indicator values. First, skincare indicators need to be extracted sequentially from the skincare indicator set to identify the corresponding skincare indicator value set. Then, skincare indicator values ​​are extracted sequentially from the skincare indicator value set. At this point, associated skincare data containing skincare indicator values ​​can be identified in the standard solar term skincare data. To identify the proportion of each solar term environmental indicator value in the associated skincare data, a proportion distribution chart of solar term environmental indicators can be constructed based on the associated skincare data. To identify the distribution of the current environmental indicator value in the proportion distribution chart... The method involves first obtaining the current environmental index values ​​corresponding to each solar term environmental index. Then, using a percentage distribution map and pre-built AI technology, the mode integral and mode distance of the current environmental index values ​​are calculated. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum percentage of the solar term environmental index value in the percentage distribution map and the current environmental index value. The mode integral refers to the regional integral of the interval distance. Since the mode integral and mode distance can represent the relationship between the current environmental index value and the maximum environmental index value, the skincare recommendation degree of the skincare index value under the current environmental index value is calculated based on the mode integral and mode distance, resulting in a skincare recommendation degree set. Since skincare recommendation scores correspond one-to-one with current environmental indicator values, it is necessary to calculate a comprehensive skincare recommendation score based on the skincare recommendation score set. This comprehensive skincare recommendation score corresponds one-to-one with skincare indicator values. Because the comprehensive skincare recommendation score only represents the overall recommendation level of a skincare indicator value under various current environmental indicator values, it is necessary to identify the maximum skincare recommendation score within the comprehensive skincare recommendation score set. Then, the target skincare indicator value corresponding to the maximum skincare recommendation score is identified, resulting in a target skincare indicator value set. Here, the target skincare indicator values ​​correspond one-to-one with skincare indicators. Finally, personalized seasonal skincare is performed based on the target skincare indicator value set. Therefore, this invention can improve the skincare effect of current seasonal skincare methods. Attached Figure Description

[0020] Figure 1 A flowchart illustrating an AI-driven personalized seasonal skincare method provided in an embodiment of the present invention; Figure 2 A functional module diagram of an AI-driven personalized seasonal skincare system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device that implements the AI-driven personalized seasonal skincare method according to an embodiment of the present invention.

[0021] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0022] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0023] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0024] This application provides an AI-driven personalized skincare method based on the solar terms. The executing entity of this AI-driven personalized skincare method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the AI-driven personalized skincare method based on the solar terms can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0025] Reference Figure 1 The diagram shown is a flowchart illustrating an AI-driven personalized skincare method based on seasonal changes, according to an embodiment of the present invention. In this embodiment, the AI-driven personalized skincare method based on seasonal changes includes: S1. Obtain standard seasonal skincare data.

[0026] Understandably, the standard seasonal skincare data refers to the standard skincare parameters recommended by the user under different seasonal environments. These skincare parameters may include the amount of skincare cream applied per application, reapplication frequency, UV protection index, water resistance index, and moisturizing intensity. The seasonal environment refers to the external environment under each seasonal condition, as detailed in the following examples.

[0027] In detail, the standard seasonal skin care data includes a set of recommended skin care index values ​​under the seasonal environmental index value set. The seasonal environmental index value set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skin care index value set includes: the amount of skin cream applied at one time, the frequency of reapplication, the ultraviolet protection index, the waterproof index, and the moisturizing intensity.

[0028] In this embodiment of the invention, the standard seasonal skincare data refers to the standard skincare parameters recommended by the user based on different seasonal environments. However, the seasonal environment types cannot cover all seasonal environment types. For example, the seasonal environment index value can be the ambient temperature. , , , Wait, the actual ambient temperature might be... At this point, the actual ambient temperature cannot be referenced from the user's preset ambient temperature. Therefore, further analysis is required, as detailed in the following embodiments.

[0029] Furthermore, the set of solar term environmental index values ​​refers to the numerical set of solar term environmental indicators. The solar term environmental indicators refer to characteristic indicators representing the solar term environment, and the set of solar term environmental indicators refers to the collection of solar term environmental indicators. The set of skincare index values ​​refers to the set of usage index parameters for skincare creams. The skincare indicators refer to usage indicators for skincare creams. The set of skincare indexes refers to the collection of skincare indicators.

[0030] For example, when the solar term environment has an ultraviolet radiation intensity (UVI) of 12 and an ambient temperature of... When the ambient humidity is 75%, the ambient wind speed is 5m / s, and the ambient air pressure is 1015hPa, the standard skin care parameters can be: single application amount is 1.3 ml for the face, reapplication frequency is once every 80 minutes, UV protection index is SPF50+, waterproof index is 80 minutes, and moisturizing intensity is high moisturizing.

[0031] In this embodiment of the invention, obtaining standard seasonal skincare data includes: The seasonal environmental indicators are extracted sequentially from the set of seasonal environmental indicators. Obtain the environmental index value sequence of the solar term environmental index to obtain multiple sets of environmental index value sequences, each set of environmental index value sequences corresponding to one solar term environmental index; The solar term environmental value combination sequence is obtained by arranging and combining the multiple sets of solar term environmental index sequences. Extract solar term environmental value combinations sequentially from the solar term environmental value combination sequence, and receive recommended skin care index value combinations input by the user based on the solar term environmental value combinations; Construct a sample of the correspondence between the solar term environmental value combinations and the recommended skin care index value combinations, and collect all the sample of the correspondence between the solar term environmental value combinations and the recommended skin care index value combinations to obtain standard solar term skin care data.

[0032] Furthermore, the environmental index value sequence refers to a sequence composed of specific values ​​of the solar term environmental index. For example, when the solar term environmental index is ambient temperature, the environmental index value sequence can be... , , , , , Etc.; When the solar term environmental index is ambient wind speed, the sequence of environmental index values ​​can be 5 m / s, 6 m / s, 7 m / s, 8 m / s, 9 m / s, 10 m / s, etc. The solar term environmental value combination sequence refers to the sequence composed of combinations of values ​​for various solar term environmental indices. The solar term environmental value combination refers to the combination constructed from the values ​​of various solar term environmental indices. The recommended skincare index value combination refers to the combination of skincare index values ​​recommended by the user. The corresponding relationship sample refers to the sample composed of solar term environmental value combinations and corresponding recommended skincare index value combinations.

[0033] S2. Extract skin care indicators sequentially from the skin care indicator set, identify the skin care indicator value set corresponding to the skin care indicator, and extract the skin care indicator value sequentially from the skin care indicator value set.

[0034] Understandably, the skincare indicator value set corresponding to the skincare indicator refers to the set of skincare indicator values ​​corresponding to the skincare indicator. For example, when the skincare indicator is the amount applied per application, the skincare indicator value set can be 1.0 ml, 1.1 ml, 1.2 ml, 1.3 ml, 1.4 ml, 1.5 ml, etc.; when the skincare indicator is the waterproof index, the skincare indicator value set can be 80 minutes, 90 minutes, 100 minutes, 110 minutes, 120 minutes, etc.

[0035] S3. Identify associated skincare data containing skincare indicator values ​​in the standard solar term skincare data, and construct a distribution chart of the proportion of solar term environmental indicators based on the associated skincare data.

[0036] Understandably, the associated skincare data refers to skincare data in the standard solar term skincare data that is correlated with the skincare indicator value. The associated skincare data consists of all corresponding samples containing the skincare indicator value. The percentage distribution chart refers to a curve showing the percentage distribution of various solar term environmental indicator values ​​related to a certain solar term in the associated skincare data, as detailed in the following embodiments.

[0037] In detail, the independent variable of the percentage distribution chart is the value of the solar term environmental index, and the dependent variable is the percentage of the solar term environmental index value. The percentage of the solar term environmental index value refers to the proportion of samples in the associated skin care data that contain the corresponding value of a certain solar term environmental index out of all samples in the associated skin care data.

[0038] In this embodiment of the invention, the step of constructing a distribution map of the proportion of seasonal environmental indicators based on associated skincare data includes: The environmental index values ​​are extracted sequentially from the environmental index value sequence of the solar term environmental indicators. Identify a set of related samples containing the values ​​of the environmental indicators in the associated skincare data, and count the number of related samples in the set of related samples; Obtain the number of corresponding relationship samples of the associated skin care data, and calculate the proportion of the seasonal environmental index values ​​of the environmental index values ​​based on the number of associated relationship samples and the number of corresponding sample values; Based on the environmental index values ​​and the proportion of the seasonal environmental index values, points are plotted in a pre-constructed proportion coordinate system to obtain a scatter set of environmental index values ​​and proportions. The horizontal axis of the proportion coordinate system represents the seasonal environmental index values, and the vertical axis represents the proportion of the seasonal environmental index values. By fitting the scatter plot of the environmental indicator values ​​and their proportions, a proportion distribution map is obtained.

[0039] Further, the association sample set refers to the set of corresponding relationship samples containing the values ​​of the environmental indicators. The number of association sample sets refers to the number of association sample sets. The number of corresponding relationship sample sets refers to the number of corresponding relationship sample sets in the associated skincare data. The proportion coordinate system refers to a two-dimensional coordinate system representing the proportion of the environmental indicator values ​​to the solar term environmental indicator values. The environmental indicator value-proportion scatter set refers to a scatter set representing the correspondence between the proportions of the environmental indicator values ​​and the solar term environmental indicator values.

[0040] S4. Obtain the current environmental index value corresponding to the solar term environmental index, and use the proportion distribution map and pre-built AI technology to calculate the mode integral and mode distance of the current environmental index value.

[0041] Understandably, the current environmental index value refers to the value of the solar term environmental index under the current solar term conditions. The AI ​​technology refers to AI technology capable of calculating curve integral values.

[0042] Specifically, the mode distance refers to the interval distance between the maximum environmental indicator value corresponding to the maximum proportion of the solar term environmental indicator value in the proportion distribution chart and the current environmental indicator value; the mode integral refers to the regional integral of the interval distance. The maximum proportion of the solar term environmental indicator value refers to the proportion of the largest solar term environmental indicator value in the proportion distribution chart. The proportion of the solar term environmental indicator value refers to the proportion of the corresponding sample containing the solar term environmental indicator value to the corresponding sample in the associated skin care data.

[0043] For example, when the skincare index value is 1.0 ml per application, the seasonal environmental index is ambient temperature, and the current environmental index value is ambient temperature... The maximum environmental index value is When, the mode distance is The mode integral can be 0.6, and the mode integral is... to The integral value of the corresponding curve segment.

[0044] In this embodiment of the invention, the calculation of the mode integral and mode distance of the current environmental indicator value using a percentage distribution map and pre-built AI technology includes: Identify the current environmental indicator value on the horizontal axis of the proportional coordinate system; Identify the coordinates of the maximum environmental indicator corresponding to the maximum percentage of the solar term environmental indicator value in the percentage distribution map. Calculate the coordinate difference between the maximum environmental indicator coordinate and the current environmental indicator coordinate, and use the coordinate difference as the mode distance; The integral coordinate range is determined based on the coordinates of the maximum environmental indicator and the coordinates of the current environmental indicator. Extract the interval percentage distribution curve corresponding to the integral coordinate interval from the percentage distribution map; The AI ​​technology is used to perform regional integral calculation on the interval proportion distribution curve to obtain the mode integral.

[0045] Specifically, the current environmental indicator coordinates refer to the coordinates corresponding to the current environmental indicator value on the horizontal axis in the proportion coordinate system. The maximum environmental indicator coordinates refer to the coordinates corresponding to the proportion of the maximum seasonal environmental indicator value on the horizontal axis. The coordinate difference refers to the absolute value of the difference between the maximum environmental indicator coordinates and the current environmental indicator coordinates. The integral coordinate interval refers to the interval between the maximum environmental indicator coordinates and the current environmental indicator coordinates. The interval proportion distribution curve refers to the curve in the proportion distribution map that belongs to the integral coordinate interval. The AI ​​technology for regional integral calculation is existing technology and will not be described in detail here.

[0046] S5. Calculate the skincare recommendation degree of the skincare index value under the current environmental index value based on the mode integral and mode distance, and obtain the skincare recommendation degree set.

[0047] Understandably, the skincare recommendation level refers to the degree to which skincare indicator values ​​are recommended under the current environmental indicator values. The skincare recommendation level set refers to the set of recommendation levels for each current environmental indicator value under the current environmental indicator values.

[0048] In detail, the skincare recommendations correspond one-to-one with the current environmental index values.

[0049] In this embodiment of the invention, the step of calculating the skincare recommendation degree of the skincare index value under the current environmental index value based on the mode integral and mode distance, and obtaining the skincare recommendation degree set, includes: The skincare recommendation score is calculated based on the mode integral, mode distance, and a pre-constructed recommendation formula, wherein the recommendation formula is as follows:

[0050] in, This represents the skincare recommendation level of the j-th skincare indicator under the current environmental indicator value, representing the i-th skincare indicator value. Represents the coefficient of the integral term. Represents the natural constant. Represents the mode integral. Represents the coefficient of the distance term. Indicates the distance to the mode; By aggregating the skincare recommendation scores corresponding to various current environmental indicator values, a skincare recommendation score set is obtained.

[0051] Understandably, the coefficient of the integral term refers to the calculated coefficient of the mode integral term, which can be 0.6, and the coefficient of the distance term refers to the calculated coefficient of the mode distance term, which can be 0.4.

[0052] S6. Calculate the overall skincare recommendation score based on the skincare recommendation score set to obtain the overall skincare recommendation score set.

[0053] Understandably, the comprehensive skincare recommendation level refers to the overall recommendation level of the skincare indicator value under various current environmental indicator values. The comprehensive skincare recommendation set refers to the set of overall recommendation levels of various skincare indicator values ​​within the skincare indicator value set.

[0054] Furthermore, the comprehensive skincare recommendation level corresponds one-to-one with the skincare index value.

[0055] In this embodiment of the invention, the step of calculating the comprehensive skincare recommendation score based on the skincare recommendation score set to obtain the comprehensive skincare recommendation score set includes: Based on the skincare recommendation set, points are plotted using pre-constructed regular polygons to obtain a recommendation point set, wherein the regular polygons are regular pentagons; Connect the points according to the recommendation degree set to obtain the recommendation polygon; The overall skincare recommendation score is calculated based on the recommended polygon, and the overall skincare recommendation scores corresponding to each skincare indicator value in the skincare indicator value set are collected to obtain the overall skincare recommendation score set.

[0056] Specifically, the number of sides of the regular polygon is the same as the number of the seasonal environmental indicators. The recommendation point set refers to the set of points determined using the regular polygon based on the skincare recommendation. The recommendation polygon refers to the polygon formed by connecting adjacent recommendation points in the recommendation point set.

[0057] In this embodiment of the invention, the step of plotting points using pre-constructed regular polygons based on the skincare recommendation set to obtain a recommendation point set includes: Identify the polygon vertices in the regular polygon to obtain the polygon vertex set; A correspondence is established between the solar term environmental index set and the polygon vertex set to obtain an index vertex set, wherein the solar term environmental indexes in the solar term environmental index set and the polygon vertices in the polygon vertex set have a one-to-one correspondence. Extract skincare recommendation scores sequentially from the skincare recommendation score set and identify the corresponding related indicator vertices of the skincare recommendation scores; Identify the path connecting the center vertices of the associated index vertices, wherein the path connecting the center vertices refers to the straight line segment path determined by the associated index vertex and the center of the regular polygon; The extension starting point and extension direction are determined based on the path connecting the central vertices, wherein the extension starting point is the center of the regular polygon in the path connecting the central vertices, and the extension direction is the center of the regular polygon pointing to the associated index vertex. Using the aforementioned starting point and direction of extension, the recommendation level is extended based on the skincare recommendation level to obtain the recommendation extension path. Identify the endpoint of the recommendation extension path, and use the endpoint as the recommendation point to obtain the recommendation point set.

[0058] Further, the polygon vertex refers to the vertex of the regular polygon. The polygon vertex set refers to the set of polygon vertices. The correspondence establishment refers to establishing a correspondence between the solar term environmental index and the polygon vertices. The index vertex set refers to the set of polygon vertices that have completed the correspondence establishment. The associated index vertex refers to the index vertex corresponding to the skincare recommendation. The extension start point refers to the starting point for extending the recommendation, and the extension direction refers to the direction for extending the recommendation. The recommendation extension refers to the path extension method that starts from the center of the regular polygon and uses the length of the extended path to represent the skincare recommendation. The recommendation extension path refers to the path representing the skincare recommendation. The path end point refers to the end point of the recommendation extension path.

[0059] In this embodiment of the invention, calculating the comprehensive skincare recommendation score based on the recommended polygon includes: Calculate the area of ​​the recommended polygon, and based on the polygon area, calculate the overall skincare recommendation using a pre-constructed comprehensive formula, wherein the comprehensive formula is as follows:

[0060] in, This represents the overall skincare recommendation level based on the value of the j-th skincare indicator of the i-th skincare indicator. This indicates the recommended adjustment index. Represents the area of ​​a polygon.

[0061] Understandably, the polygon area refers to the area of ​​the recommended polygon. The recommendation adjustment index refers to the weighting index that regulates the overall skincare recommendation level, and can be 1.2.

[0062] S7. Identify the maximum skincare recommendation score in the comprehensive skincare recommendation score set, identify the target skincare indicator value corresponding to the maximum skincare recommendation score, obtain the target skincare indicator value set, and carry out personalized seasonal skincare based on the target skincare indicator value set.

[0063] Understandably, the maximum skincare recommendation score refers to the highest overall skincare recommendation score in the set of comprehensive skincare recommendations. The target skincare indicator value refers to the skincare indicator value corresponding to the maximum skincare recommendation score. The target skincare indicator value set refers to the set of target skincare indicator values ​​corresponding to each skincare indicator in the skincare indicator set.

[0064] In detail, the target skin care index value corresponds one-to-one with the skin care index.

[0065] In this embodiment of the invention, the step of identifying the target skincare indicator value corresponding to the maximum skincare recommendation score and obtaining the target skincare indicator value set includes: Identify the target skincare indicator value corresponding to the maximum skincare recommendation score within the set of skincare indicator values; By collecting the target skincare indicator values ​​corresponding to each skincare indicator, a set of target skincare indicator values ​​is obtained.

[0066] For example, once the target skincare indicator values ​​for each skincare indicator are obtained, it indicates that the most recommended target skincare indicator values ​​for each indicator have been determined under the conditions of multiple current environmental indicator values. At this point, skincare tips can be provided to the user based on the set of target skincare indicator values. For example, when the current environmental indicator values ​​are: UV intensity (UVI) 12, ambient temperature... Under the following conditions: ambient humidity 75%, ambient wind speed 5 m / s, and ambient air pressure 1015 hPa, the target skincare index set can be: single application amount of 1.3 ml to the face, reapplication frequency of once every 80 minutes, UV protection index of SPF50+, water resistance index of 80 minutes, and moisturizing intensity of high moisturizing, i.e., under UV intensity (UVI) of 12 and ambient temperature... When the ambient humidity is 75%, the ambient wind speed is 5m / s, and the ambient air pressure is 1015hPa, the optimal amount to apply at one time is 1.3 ml to the face; the optimal reapplication frequency is once every 80 minutes; the optimal UV protection index is SPF50+; the optimal waterproof index is 80 minutes; and the optimal moisturizing intensity is high moisturizing. Therefore, maintaining these skincare indexes at their optimal values ​​ensures the best overall skincare effect under the current environmental conditions.

[0067] To address the problems described in the background art, this invention first requires acquiring standard seasonal skincare data to identify the target skincare indicator value set corresponding to each skincare indicator. This standard seasonal skincare data includes a recommended skincare indicator value set under the seasonal environmental indicator value set. The seasonal environmental indicator value set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare indicator value set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. Since the target skincare indicator value set is composed of the target skincare indicator values ​​corresponding to each skincare indicator... Therefore, it is possible to perform targeted analysis on the values ​​of various skincare indicators under multiple current environmental indicator values. First, it is necessary to extract skincare indicators sequentially from the skincare indicator set and identify the corresponding skincare indicator value set. Then, extract skincare indicator values ​​sequentially from the skincare indicator value set. At this point, it is possible to identify the associated skincare data containing skincare indicator values ​​in the standard solar term skincare data. In order to identify the proportion of each solar term environmental indicator value in the associated skincare data, a proportion distribution map of the solar term environmental indicators can be constructed based on the associated skincare data. To identify the distribution characteristics of the current environmental indicator values ​​in the proportion distribution map... The process involves first obtaining the current environmental index values ​​corresponding to various solar term environmental indicators. Then, using a percentage distribution map and pre-built AI technology, the mode integral and mode distance of the current environmental index values ​​are calculated. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the largest percentage of the solar term environmental index value in the percentage distribution map and the current environmental index value. The mode integral refers to the regional integral of the interval distance. Since the mode integral and mode distance can represent the relationship between the current environmental index value and the maximum environmental index value, the skincare recommendation degree of the skincare index value under the current environmental index value is calculated based on the mode integral and mode distance, resulting in a skincare recommendation degree set. Since skincare recommendation scores correspond one-to-one with current environmental indicator values, it is necessary to calculate a comprehensive skincare recommendation score based on the skincare recommendation score set. This comprehensive skincare recommendation score corresponds one-to-one with skincare indicator values. Because the comprehensive skincare recommendation score only represents the overall recommendation level of the skincare indicator value under various current environmental indicator values, it is necessary to identify the maximum skincare recommendation score within the comprehensive skincare recommendation score set. Then, the target skincare indicator value corresponding to the maximum skincare recommendation score is identified, resulting in a target skincare indicator value set. Here, the target skincare indicator values ​​correspond one-to-one with skincare indicators. Finally, personalized seasonal skincare is performed based on the target skincare indicator value set. Therefore, this invention can improve the skincare effect of current seasonal skincare methods.

[0068] like Figure 2 The diagram shown is a functional block diagram of an AI-driven personalized seasonal skincare system provided in an embodiment of the present invention.

[0069] The AI-driven personalized seasonal skincare system 100 described in this invention can be installed in an electronic device. Depending on the functions implemented, the AI-driven personalized seasonal skincare system 100 may include a standard seasonal skincare data acquisition module 101, a proportion distribution map construction module 102, a comprehensive skincare recommendation set calculation module 103, and a personalized seasonal skincare module 104. The module described in this invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.

[0070] The standard solar term skincare data acquisition module 101 is used to acquire standard solar term skincare data, which includes a set of recommended skincare index values ​​under the solar term environmental index value set. The solar term environmental index value set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index value set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. The percentage distribution map construction module 102 is used to extract skin care indicators sequentially from the skin care indicator set, identify the skin care indicator value set corresponding to the skin care indicator, and extract skin care indicator values ​​sequentially from the skin care indicator value set; identify associated skin care data containing skin care indicator values ​​in the standard solar term skin care data, and construct a percentage distribution map of solar term environmental indicators based on the associated skin care data, wherein the independent variable of the percentage distribution map is the solar term environmental indicator value, and the dependent variable is the percentage of the solar term environmental indicator value. The comprehensive skincare recommendation set calculation module 103 is used to obtain the current environmental index value corresponding to the solar term environmental index, and calculate the mode integral and mode distance of the current environmental index value using a proportion distribution map and pre-built AI technology. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value; the mode integral refers to the regional integral of the interval distance. Based on the mode integral and mode distance, the skincare recommendation degree of the skincare index value under the current environmental index value is calculated to obtain a skincare recommendation degree set, with each skincare recommendation degree corresponding to a current environmental index value. Finally, a comprehensive skincare recommendation degree is calculated based on the skincare recommendation degree set, resulting in a comprehensive skincare recommendation degree set, which also corresponds to a skincare index value. The personalized seasonal skincare module 104 is used to identify the maximum skincare recommendation score in the comprehensive skincare recommendation score set, identify the target skincare indicator value corresponding to the maximum skincare recommendation score, and obtain a target skincare indicator value set, wherein the target skincare indicator value corresponds one-to-one with the skincare indicator, and personalized seasonal skincare is performed based on the target skincare indicator value set.

[0071] In detail, the modules in the AI-driven personalized seasonal skincare system 100 described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The method uses the same technology as the AI-driven personalized seasonal skincare method described above and can produce the same technical effects, so it will not be elaborated here.

[0072] like Figure 3 The diagram shown is a structural schematic of an electronic device that implements an AI-driven personalized seasonal skincare method according to an embodiment of the present invention.

[0073] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an AI-driven personalized seasonal skincare program.

[0074] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of an AI-driven personalized seasonal skincare program, but also to temporarily store data that has been output or will be output.

[0075] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., AI-driven personalized seasonal skincare programs) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0076] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0077] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0078] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0079] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0080] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0081] The AI-driven personalized seasonal skincare program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following: Obtain standard solar term skincare data, which includes recommended skincare index sets under the solar term environmental index set. The solar term environmental index set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. Extract skincare indicators sequentially from the skincare indicator set, identify the skincare indicator value set corresponding to the skincare indicator, and extract skincare indicator values ​​sequentially from the skincare indicator value set. Identify associated skin care data containing skin care indicator values ​​in standard solar term skin care data, and construct a percentage distribution chart of solar term environmental indicators based on the associated skin care data. The independent variable of the percentage distribution chart is the value of the solar term environmental indicator, and the dependent variable is the percentage of the value of the solar term environmental indicator. Obtain the current environmental index value corresponding to the solar term environmental index, and use the proportion distribution map and pre-built AI technology to calculate the mode integral and mode distance of the current environmental index value. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value. The mode integral refers to the regional integral of the interval distance. The skincare recommendation degree is calculated based on the mode integral and mode distance under the current environmental index value, resulting in a skincare recommendation degree set. The skincare recommendation degree corresponds one-to-one with the current environmental index value. The comprehensive skincare recommendation score is calculated based on the skincare recommendation score set, and the comprehensive skincare recommendation score corresponds one-to-one with the skincare index value. The system identifies the highest skincare recommendation score within the overall skincare recommendation set, identifies the target skincare indicator value corresponding to the highest skincare recommendation score, and obtains a set of target skincare indicator values. Personalized seasonal skincare is then carried out based on this set of target skincare indicator values, where each target skincare indicator value corresponds one-to-one with a skincare indicator.

[0082] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0083] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0084] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: Obtain standard solar term skincare data, which includes recommended skincare index sets under the solar term environmental index set. The solar term environmental index set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. Extract skincare indicators sequentially from the skincare indicator set, identify the skincare indicator value set corresponding to the skincare indicator, and extract skincare indicator values ​​sequentially from the skincare indicator value set. Identify associated skin care data containing skin care indicator values ​​in standard solar term skin care data, and construct a percentage distribution chart of solar term environmental indicators based on the associated skin care data. The independent variable of the percentage distribution chart is the value of the solar term environmental indicator, and the dependent variable is the percentage of the value of the solar term environmental indicator. Obtain the current environmental index value corresponding to the solar term environmental index, and use the proportion distribution map and pre-built AI technology to calculate the mode integral and mode distance of the current environmental index value. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value. The mode integral refers to the regional integral of the interval distance. The skincare recommendation degree is calculated based on the mode integral and mode distance under the current environmental index value, resulting in a skincare recommendation degree set. The skincare recommendation degree corresponds one-to-one with the current environmental index value. The comprehensive skincare recommendation score is calculated based on the skincare recommendation score set, and the comprehensive skincare recommendation score corresponds one-to-one with the skincare index value. The system identifies the highest skincare recommendation score within the overall skincare recommendation set, identifies the target skincare indicator value corresponding to the highest skincare recommendation score, and obtains a set of target skincare indicator values. Personalized seasonal skincare is then carried out based on this set of target skincare indicator values, where each target skincare indicator value corresponds one-to-one with a skincare indicator.

[0085] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0086] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0088] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A personalized seasonal skincare method driven by AI, characterized in that, The method includes: Obtain standard solar term skincare data, which includes recommended skincare index sets under the solar term environmental index set. The solar term environmental index set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. Extract skincare indicators sequentially from the skincare indicator set, identify the skincare indicator value set corresponding to the skincare indicator, and extract skincare indicator values ​​sequentially from the skincare indicator value set. Identify associated skin care data containing skin care indicator values ​​in standard solar term skin care data, and construct a percentage distribution chart of solar term environmental indicators based on the associated skin care data. The independent variable of the percentage distribution chart is the value of the solar term environmental indicator, and the dependent variable is the percentage of the value of the solar term environmental indicator. Obtain the current environmental index value corresponding to the solar term environmental index, and use the proportion distribution map and pre-built AI technology to calculate the mode integral and mode distance of the current environmental index value. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value. The mode integral refers to the regional integral of the interval distance. The skincare recommendation degree is calculated based on the mode integral and mode distance under the current environmental index value, resulting in a skincare recommendation degree set. The skincare recommendation degree corresponds one-to-one with the current environmental index value. The comprehensive skincare recommendation score is calculated based on the skincare recommendation score set, and the comprehensive skincare recommendation score corresponds one-to-one with the skincare index value. The system identifies the highest skincare recommendation score within the overall skincare recommendation set, identifies the target skincare indicator value corresponding to the highest skincare recommendation score, and obtains a set of target skincare indicator values. Personalized seasonal skincare is then carried out based on this set of target skincare indicator values, where each target skincare indicator value corresponds one-to-one with a skincare indicator.

2. The AI-driven personalized seasonal skincare method as described in claim 1, characterized in that, The acquisition of standard seasonal skincare data includes: The seasonal environmental indicators are extracted sequentially from the set of seasonal environmental indicators. Obtain the environmental index value sequence of the solar term environmental index to obtain multiple sets of environmental index value sequences, each set of environmental index value sequences corresponding to one solar term environmental index; The solar term environmental value combination sequence is obtained by arranging and combining the multiple sets of solar term environmental index sequences. Extract solar term environmental value combinations sequentially from the solar term environmental value combination sequence, and receive recommended skin care index value combinations input by the user based on the solar term environmental value combinations; Construct a sample of the correspondence between the solar term environmental value combinations and the recommended skin care index value combinations, and collect all the sample of the correspondence between the solar term environmental value combinations and the recommended skin care index value combinations to obtain standard solar term skin care data.

3. The AI-driven personalized seasonal skincare method as described in claim 2, characterized in that, The step of constructing a distribution chart of seasonal environmental indicators based on associated skincare data includes: The environmental index values ​​are extracted sequentially from the environmental index value sequence of the solar term environmental indicators. Identify a set of related samples containing the values ​​of the environmental indicators in the associated skincare data, and count the number of related samples in the set of related samples; Obtain the number of corresponding relationship samples of the associated skin care data, and calculate the proportion of the seasonal environmental index values ​​of the environmental index values ​​based on the number of associated relationship samples and the number of corresponding sample values; Based on the environmental index values ​​and the proportion of the seasonal environmental index values, points are plotted in a pre-constructed proportion coordinate system to obtain a scatter set of environmental index values ​​and proportions. The horizontal axis of the proportion coordinate system represents the seasonal environmental index values, and the vertical axis represents the proportion of the seasonal environmental index values. By fitting the scatter plot of the environmental indicator values ​​and their proportions, a proportion distribution map is obtained.

4. The AI-driven personalized seasonal skincare method as described in claim 3, characterized in that, The calculation of the mode integral and mode distance of the current environmental indicator value using the proportion distribution chart and pre-built AI technology includes: Identify the current environmental indicator value on the horizontal axis of the proportional coordinate system; Identify the coordinates of the maximum environmental indicator corresponding to the maximum percentage of the solar term environmental indicator value in the percentage distribution map. Calculate the coordinate difference between the maximum environmental indicator coordinate and the current environmental indicator coordinate, and use the coordinate difference as the mode distance; The integral coordinate range is determined based on the coordinates of the maximum environmental indicator and the coordinates of the current environmental indicator. Extract the interval percentage distribution curve corresponding to the integral coordinate interval from the percentage distribution map; The AI ​​technology is used to perform regional integral calculation on the interval proportion distribution curve to obtain the mode integral.

5. The AI-driven personalized seasonal skincare method as described in claim 4, characterized in that, The process of calculating the skincare recommendation score based on the mode integral and mode distance under the current environmental indicator score yields a skincare recommendation score set, including: The skincare recommendation score is calculated based on the mode integral, mode distance, and a pre-constructed recommendation formula, wherein the recommendation formula is as follows: in, This represents the skincare recommendation level of the j-th skincare indicator under the current environmental indicator value, representing the i-th skincare indicator value. Represents the coefficient of the integral term. Represents the natural constant. Represents the mode integral. Represents the coefficient of the distance term. Indicates the distance to the mode; By aggregating the skincare recommendation scores corresponding to various current environmental indicator values, a skincare recommendation score set is obtained.

6. The AI-driven personalized seasonal skincare method as described in claim 5, characterized in that, The process of calculating the comprehensive skincare recommendation score based on the skincare recommendation score set, resulting in the comprehensive skincare recommendation score set, includes: Based on the skincare recommendation set, points are plotted using pre-constructed regular polygons to obtain a recommendation point set, wherein the regular polygons are regular pentagons; Connect the points according to the recommendation degree set to obtain the recommendation polygon; The overall skincare recommendation score is calculated based on the recommended polygon, and the overall skincare recommendation scores corresponding to each skincare indicator value in the skincare indicator value set are collected to obtain the overall skincare recommendation score set.

7. The AI-driven personalized seasonal skincare method as described in claim 6, characterized in that, The step of plotting points using pre-constructed regular polygons based on the skincare recommendation set to obtain a recommendation point set includes: Identify the polygon vertices in the regular polygon to obtain the polygon vertex set; A correspondence is established between the solar term environmental index set and the polygon vertex set to obtain an index vertex set, wherein the solar term environmental indexes in the solar term environmental index set and the polygon vertices in the polygon vertex set have a one-to-one correspondence. Extract skincare recommendation scores sequentially from the skincare recommendation score set and identify the corresponding related indicator vertices of the skincare recommendation scores; Identify the path connecting the center vertices of the associated index vertices, wherein the path connecting the center vertices refers to the straight line segment path determined by the associated index vertex and the center of the regular polygon; The extension starting point and extension direction are determined based on the path connecting the central vertices, wherein the extension starting point is the center of the regular polygon in the path connecting the central vertices, and the extension direction is the center of the regular polygon pointing to the associated index vertex. Using the aforementioned starting point and direction of extension, the recommendation level is extended based on the skincare recommendation level to obtain the recommendation extension path. Identify the endpoint of the recommendation extension path, and use the endpoint as the recommendation point to obtain the recommendation point set.

8. The AI-driven personalized seasonal skincare method as described in claim 7, characterized in that, The step of calculating the comprehensive skincare recommendation score based on the recommended polygon includes: Calculate the area of ​​the recommended polygon, and based on the polygon area, calculate the overall skincare recommendation using a pre-constructed comprehensive formula, wherein the comprehensive formula is as follows: in, This represents the overall skincare recommendation level based on the value of the j-th skincare indicator of the i-th skincare indicator. This indicates the recommended adjustment index. Represents the area of ​​a polygon.

9. The AI-driven personalized seasonal skincare method as described in claim 8, characterized in that, The process of identifying the target skincare indicator value corresponding to the highest skincare recommendation score yields a set of target skincare indicator values, including: Identify the target skincare indicator value corresponding to the maximum skincare recommendation score within the set of skincare indicator values; By collecting the target skincare indicator values ​​corresponding to each skincare indicator, a set of target skincare indicator values ​​is obtained.

10. An AI-driven personalized seasonal skincare system, characterized in that, The system includes: The standard solar term skincare data acquisition module is used to acquire standard solar term skincare data. The standard solar term skincare data includes the recommended skincare index set under the solar term environmental index set. The solar term environmental index set includes: ultraviolet intensity, ambient temperature, ambient humidity, ambient wind speed, and ambient air pressure. The skincare index set includes: single application amount of skincare cream, reapplication frequency, ultraviolet protection index, waterproof index, and moisturizing intensity. The percentage distribution map construction module is used to extract skin care indicators sequentially from the skin care indicator set, identify the skin care indicator value set corresponding to the skin care indicator, and extract skin care indicator values ​​sequentially from the skin care indicator value set; identify the associated skin care data containing skin care indicator values ​​in the standard solar term skin care data, and construct the percentage distribution map of solar term environmental indicators based on the associated skin care data. The independent variable of the percentage distribution map is the value of the solar term environmental indicator, and the dependent variable is the percentage of the value of the solar term environmental indicator. The comprehensive skincare recommendation set calculation module is used to obtain the current environmental index value corresponding to the solar term environmental index, and calculate the mode integral and mode distance of the current environmental index value using a proportion distribution map and pre-built AI technology. The mode distance refers to the interval distance between the maximum environmental index value corresponding to the maximum proportion of the solar term environmental index value in the proportion distribution map and the current environmental index value; the mode integral refers to the regional integral of the interval distance. Based on the mode integral and mode distance, the skincare recommendation degree of the skincare index value under the current environmental index value is calculated, resulting in a skincare recommendation degree set, with each skincare recommendation degree corresponding to a specific current environmental index value. Finally, the comprehensive skincare recommendation degree is calculated based on the skincare recommendation degree set, resulting in a comprehensive skincare recommendation degree set, which also corresponds to a specific skincare index value. The personalized seasonal skincare module is used to identify the maximum skincare recommendation score in the overall skincare recommendation score set, identify the target skincare indicator value corresponding to the maximum skincare recommendation score, and obtain the target skincare indicator value set. The target skincare indicator value corresponds one-to-one with the skincare indicator, and personalized seasonal skincare is performed based on the target skincare indicator value set.

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