Aqua-beauty instrument operation status monitoring method and system

Abstract

The present invention relates to the field of beauty instrument operation monitoring, and more specifically, the present invention relates to a method and system for monitoring the operation status of a water-light beauty instrument, the method comprising: obtaining the operation parameters and skin status values ​​of the water-light beauty instrument in historical data, and taking the percentage of the difference between the skin status values ​​before and after as the skin change value; constructing a feature vector with the operation parameters in the historical data and the skin status data before use, and clustering to obtain the best clustering result, and calculating the stability of the skin change values ​​of the group users corresponding to each clustering cluster, and obtaining the stability of the skin change values ​​of the individual users currently using the water-light beauty instrument in the historical data; calculating the operation status of the water-light beauty instrument according to the stability of the skin change values ​​of the group users and the individual users, and judging whether maintenance and repair are needed. The present invention timely repairs the equipment through the stability of the skin change values ​​of the group users and the individual users, thereby improving customer satisfaction.

Description

Technical Field

[0001] The present invention relates to the field of beauty instrument operation monitoring, and more specifically, to a method and system for monitoring the operation status of a water light beauty instrument. Background Art

[0002] The water light beauty instrument is a device used for beauty and skin care. Its core function is to improve the condition and appearance of the skin by injecting nutrients such as hyaluronic acid into the dermis of the skin, so that the skin remains hydrated and elastic. When hyaluronic acid is injected into the dermis of the skin, it can effectively replenish the moisture and nutrients needed by the skin, improve skin dryness, fine lines, dullness and other problems, and make the skin look more hydrated, smooth and shiny.

[0003] The existing Chinese patent application document with publication number CN117213562A discloses an operation monitoring system and method for a massage beauty instrument, wherein the operation monitoring system includes a processor, an operation damage detection feedback module, an operation forward diagnosis module, a massage bias risk decision module and an operation warning module; the patent application document performs operation damage detection and analysis on the massage beauty instrument through the operation damage detection feedback module, thereby generating an operation damage detection unqualified signal or an operation forward analysis signal, and generates an operation forward qualified signal or an operation forward unqualified signal through analysis when generating the operation forward analysis signal, and performs decision analysis on the operation status of the massage beauty instrument during the detection period based on the currently running massage mode through the massage bias risk decision module, so as to realize real-time monitoring of the operation status of the massage beauty instrument, ensure the safe operation of the massage beauty instrument, improve its use effect and reduce operation risks.

[0004] The above technology monitors the operating status of each hardware module when the device is running, and evaluates whether the operating status is normal based on the hardware monitoring results. For water-based beauty devices, although hardware monitoring can ensure the basic operating safety of the device, some potential safety issues may not be discovered in time. For example, the water-based beauty device may have poor treatment effects on the skin of some users after use, or may cause discomfort and allergic reactions to the skin after use, resulting in skin damage. Summary of the invention

[0005] In order to solve the problem that water light beauty instrument equipment has poor treatment effect on the skin of some users or causes discomfort and allergic reactions to the skin after use, resulting in skin damage, the present invention provides solutions in the following aspects.

[0006] In a first aspect, a method for monitoring the operating status of a water-light beauty instrument comprises: obtaining operating parameters used by the water-light beauty instrument device in historical data and skin status data and skin status values ​​before and after use, and taking the percentage of the difference between the skin status values ​​before and after use as a skin change value; constructing a feature vector using the operating parameters in the historical data and the skin status data before use, clustering the feature vector to obtain an optimal clustering result, calculating the stability of the skin change values ​​of the group users corresponding to each clustering cluster in the optimal clustering result, and obtaining the stability of the skin change values ​​of the individual users currently using the water-light beauty instrument in the historical data; calculating the operating status of the water-light beauty instrument device according to the stability of the skin change values ​​of the group users and the stability of the skin change values ​​of the individual users, wherein the operating status satisfies the following relationship: , where Indicates the current operating status of the water light beauty instrument. represents the exponential function, represents the set coefficient, Indicates the amount of historical water light beauty instrument usage data of the current individual user, Indicates the stability of the skin change values ​​of the group users corresponding to all clusters, Indicates the stability of the skin change value of the current individual user in the historical data; determines whether the current water light beauty instrument equipment needs maintenance and repair according to the current operating status of the water light beauty instrument.

[0007] The effect is as follows: by calculating the percentage difference between the skin condition values ​​before and after use, the effect of the water light beauty device on skin improvement can be accurately evaluated. The cluster analysis of historical data can identify the performance of the equipment under different operating parameters, so as to optimize the equipment. By calculating the equipment operating status and judging whether the equipment needs maintenance and overhaul based on stability indicators, predictive maintenance can be implemented, thereby reducing unexpected failures and extending the service life of the equipment.

[0008] Preferably, the operating parameters include: injection dose, injection depth, number of injections, interval time, advancement speed, negative pressure, injection mode and syringe type, and the skin condition data include: skin oil content, moisture, pigmentation, pore size, and skin elasticity.

[0009] Preferably, clustering the feature vectors to obtain the best clustering result includes:

[0010] Cluster the feature vectors to obtain multiple clustering results, and take any clustering result as the target clustering result, where the target clustering result contains multiple clustering clusters. The variance of the shortest distance between each feature vector and the cluster center in each clustering cluster is used as the evaluation value of the clustering result. A curve of the evaluation value and the number of cluster centers of the corresponding clustering result is constructed, and the amount of cluster center data corresponding to the inflection point in the curve is obtained as the best clustering result.

[0011] The effect is that the method of determining the best clustering result by the inflection point of the evaluation value curve helps to automatically find the most appropriate number of clusters without relying on the pre-set number of clusters, thereby improving the accuracy and efficiency of cluster analysis. It can reduce manual intervention, improve the objectivity and automation of data processing, help technicians quickly identify possible problems with equipment, perform maintenance and repair in a timely manner, ensure that the equipment operates in the best condition, and thus improve the service life of the equipment and user satisfaction.

[0012] Preferably, the stability of the skin change values ​​of the group of users includes:

[0013] According to the best clustering result, any cluster is taken as the target cluster, and the product of the variance of the skin change value data of all users in the target cluster and the number of all users in the target cluster is taken as the treatment fluctuation within the target cluster;

[0014] The cumulative sum of the ratios of the treatment fluctuations to the sum of the number of samples in all clusters is used as the stability of the skin change value of the group of users of the water light beauty instrument device.

[0015] The effect is that by analyzing the stability of skin changes in a group of users, the potential response of a specific user group to the water light beauty instrument can be predicted, and then the operating parameters of the water light beauty instrument can be adjusted to meet the needs of different users and improve the treatment effect. It ensures that most users have stable and positive feedback after treatment. By monitoring and analyzing the stability of the skin change values ​​of group users, the design and function of the water light beauty instrument can be continuously improved to meet the ever-changing needs of the market.

[0016] Preferably, the step of obtaining the stability of the skin change value of the individual user currently using the water light beauty instrument in the historical data includes:

[0017] Taking the individual users who are currently using the water light beauty instrument as the target users, the feature vectors of the target users in the historical data are obtained, and the feature vectors of the target users are clustered;

[0018] Calculate the variance of the shortest distance between each feature vector and the cluster center in each cluster as the evaluation value of the clustering result, construct a curve of the evaluation value and the number of cluster centers corresponding to the clustering result, obtain the inflection point in the curve, and take the number of cluster centers corresponding to the inflection point as the significant clustering result of the target user;

[0019] According to the sum of the number of treatments in each cluster and the ratio of the variance of the treatment data effect of each cluster to the number of significant clusters in the significant clustering results, the stability of the skin change value of the individual user is obtained.

[0020] The effect is: by calculating the stability of the skin change values ​​of individual users, the effect of the hydrating beauty device on a specific user can be more accurately evaluated, and then the treatment plan can be adjusted, such as treatment frequency, intensity, etc. At the same time, it reflects the use effect of the hydrating beauty device, and then the stability of the skin change values ​​of individual users is used as a factor in judging the current operating status of the hydrating beauty device.

[0021] Preferably, the step of obtaining the stability of the skin change value of the individual user currently using the water light beauty instrument in the historical data further includes:

[0022] Individual users who currently use the water light beauty device are taken as target users, and their historical data are obtained to obtain the skin change value of the target users. The least squares fitting is then performed to construct a curve based on the skin change value and the number of times used to obtain the predicted skin change value of the target users.

[0023] The stability of the target user's skin change value is obtained according to the absolute value of the difference between the target user's actual skin change value and the predicted skin change value.

[0024] The effect is that the smaller the absolute value of the difference between the predicted skin change value obtained by least squares fitting and the actual skin change value, the more accurate the prediction of the treatment effect for individual users. When the stability is high, it indicates that the equipment is operating well and the treatment effect is reliable. If the stability is low, it may indicate that the equipment needs maintenance or overhaul to ensure that it continues to provide high-quality treatment effects.

[0025] Preferably, determining whether the current water light beauty instrument equipment needs maintenance and repair includes:

[0026] In response to the operating state being less than or equal to a preset water light beauty device operating state threshold, the current operating state of the water light beauty device is stable, otherwise a warning is issued to remind the operator to perform maintenance.

[0027] In a second aspect, a system for monitoring the operating status of a water-light beauty instrument includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned method for monitoring the operating status of a water-light beauty instrument is implemented.

[0028] The present invention has the following effects:

[0029] 1. The present invention can predict potential equipment problems and user skin reactions by monitoring the equipment operating status and combining the stability of the user's skin change value, so as to perform maintenance and repair in advance and reduce the risk of equipment failure and adverse skin reactions.

[0030] 2. By analyzing the historical data of individual users, the present invention can provide each user with a customized treatment plan, such as adjusting the treatment frequency and intensity, to improve the treatment effect and user satisfaction of the water light beauty device. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0032] Figure 1 It is a method flow chart of steps S1 to S3 in the method for monitoring the operating status of a water light beauty device according to an embodiment of the present invention.

[0033] Figure 2 It is a structural block diagram of the operating status monitoring system of the water light beauty instrument according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0035] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0036] Reference Figure 1 The method for monitoring the operation status of a water light beauty instrument includes steps S1 to S3, which are as follows:

[0037] S1: Obtain the operating parameters of the water light beauty instrument and the skin condition data and skin condition value before and after use in the historical data, and take the percentage of the difference between the skin condition values ​​before and after as the skin change value.

[0038] Among them, the operating parameters include: injection dose, injection depth, number of injections, interval time, advancement speed, negative pressure, injection mode and syringe type; the skin condition data include: skin oil content, moisture, pigmentation, pore size and skin elasticity.

[0039] In this embodiment, when using the water light beauty instrument, the operation data of the water light beauty instrument each time it is used and the skin condition information of the corresponding user before and after using the water light beauty instrument are collected, and the data collected each time are recorded, and the skin condition value is obtained through the skin analyzer, wherein the skin analyzer is an advanced device for evaluating skin condition, which analyzes multiple dimensions of the skin through different light sources and advanced imaging technology. These instruments are usually used in professional environments, such as hospital dermatology, beauty salons, cosmetics companies, etc., and for cosmetic efficacy evaluation and skin problem research. The instrument is an existing skin detection device and will not be described in detail.

[0040] Before using the water light beauty instrument device, including but not limited to using a skin analyzer or other equipment for analyzing skin condition, a score for evaluating the skin condition of the individual user is comprehensively obtained based on the actual condition of the individual user. The skin condition value hereinafter is the skin condition score.

[0041] Further, according to the skin condition values ​​of the individual user before and after use, the change of the skin condition after using the water light beauty instrument device is obtained. The skin change value hereinafter refers to the change of the skin condition;

[0042] Specifically, the skin change value satisfies the following relationship:

[0043] ;

[0044] In the formula, Indicates the skin change value after an individual user uses a water light beauty instrument. Indicates the skin condition value of an individual user after using the water light beauty instrument. Indicates the skin condition value of an individual user before using the water light beauty device.

[0045] In other words, the skin change value The larger the value, the better the effect of the water light beauty instrument used by the individual user.

[0046] S2: Construct a feature vector using the operating parameters in the historical data and the skin condition data before use, cluster the feature vector to obtain the best clustering result, calculate the stability of the skin change values ​​of the group of users corresponding to each cluster in the best clustering result, and obtain the stability of the skin change values ​​of individual users currently using the water light beauty device in the historical data.

[0047] Further explanation, the feature vector is: {injection dose, injection depth, injection number, interval time, advancement speed, negative pressure, injection mode, syringe type, skin condition value before use }.

[0048] Cluster the feature vectors to obtain multiple clustering results, and take any clustering result as the target clustering result, where the target clustering result contains multiple clustering clusters. The variance of the shortest distance between each feature vector and the cluster center in each clustering cluster is used as the evaluation value of the clustering result. A curve of the evaluation value and the number of cluster centers of the corresponding clustering result is constructed, and the amount of cluster center data corresponding to the inflection point in the curve is obtained as the best clustering result.

[0049] It should be noted that, in this embodiment, K-means mean clustering algorithm is used for clustering. This technology is well known to those skilled in the art and will not be described in detail. Furthermore, for the number of cluster centers, the smaller the evaluation value is, the closer the shortest distance of the feature vectors in each cluster in the clustering result is, that is, the greater the similarity between the feature vectors in a cluster, and the evaluation value reflects the clustering effect of the current cluster center for the clustering operation.

[0050] Specifically, the cluster distance calculation method in this embodiment is as follows:

[0051] ;

[0052] In the formula, represents the central eigenvector Divide the center vector by Other feature vectors The distance value between represents the central eigenvector The remaining eigenvectors are represents the central eigenvector, A total of nine lowercase letters represent in sequence the nine eigenvalues ​​of the eigenvector, namely, injection dose, injection depth, number of injections, interval time, advancement speed, negative pressure, injection mode, syringe type and skin condition value before using the water light beauty device.

[0053] That is to say, through the above-mentioned clustering operation, the feature vector constructed by the collected operating parameters of the hyaluronic acid beauty instrument each time it is used and the skin condition information of the corresponding customer before and after using the hyaluronic acid beauty instrument is divided into multiple clusters, each cluster contains at least one feature vector, and the eigenvalues ​​of the feature vectors in each cluster are close. The meaning of each cluster is that the skin conditions of different users before using the hyaluronic acid beauty instrument are similar and the parameter settings during the operation of the hyaluronic acid beauty instrument are also similar.

[0054] To further explain, based on the best clustering result, the skin change values ​​of the users corresponding to each characteristic vector in each cluster after using the water-light beauty device are counted, and the statistical results in each cluster are recorded as a group of data, so as to obtain multiple groups of data with the same number of clusters, and the skin change values ​​of individual users in each group of data after using the water-light beauty device are preprocessed using the IQR algorithm to screen out and delete the outliers in each group of data. These outliers are when the water-light beauty device is running, excluding very few special cases, such as some users due to skin allergies or due to improper operation of the operator when using the water-light beauty device.

[0055] According to the best clustering result, any cluster is taken as the target cluster, and the product of the variance of the skin change value data of all users in the target cluster and the number of all users in the target cluster is taken as the treatment fluctuation within the target cluster;

[0056] The cumulative sum of the ratios of treatment fluctuations to the sum of the number of samples in all clusters is taken as the stability of the skin change value of the group users of the water light beauty instrument device.

[0057] Specifically, the stability of the skin change value of the group of users corresponding to the clusters satisfies the following relationship:

[0058] ;

[0059] In the formula, Indicates the stability of the skin change values ​​of the group users corresponding to all clusters, Indicates The number of skin change value data after users use the water light beauty instrument in the cluster, Indicates The variance of the skin change value data after the user used the water light beauty instrument in the cluster, Indicates the number of all clusters.

[0060] In other words, the stability of the skin change value of the group users The smaller the value, the better the stability of the group treatment effect corresponding to the current water light beauty instrument equipment.

[0061] To further obtain the stability of the skin change value of individual users in historical data, the steps are as follows:

[0062] Taking the individual users who are currently using the water light beauty instrument as the target users, the feature vectors of the target users in the historical data are obtained, and the feature vectors of the target users are clustered;

[0063] Calculate the variance of the shortest distance between each feature vector and the cluster center in each cluster as the evaluation value of the clustering result, construct a curve of the evaluation value and the number of cluster centers corresponding to the clustering result, obtain the inflection point in the curve, and take the number of cluster centers corresponding to the inflection point as the significant clustering result of the target user;

[0064] According to the sum of the number of treatments in each cluster and the ratio of the variance of the treatment data effect of each cluster to the number of significant clusters in the significant clustering results, the stability of the skin change value of the individual user is obtained.

[0065] Specifically, the stability of the skin change value of the current individual user in the historical data satisfies the following relationship:

[0066] ;

[0067] In the formula, Indicates the stability of the skin change value of the current individual user in the historical data. Indicates The number of skin change value data of the current individual user after using the water light beauty instrument in the group cluster, Indicates The variance of the skin change value data of the current individual user in the group cluster after using the water light beauty instrument, Indicates the number of clusters in the significant clustering results of the current individual user.

[0068] That is, the stability of the skin change value of individual users in historical data The smaller the value, the better the stability of the treatment effect of the water light beauty instrument for the current user.

[0069] In addition, in another embodiment, an individual user currently using the water light beauty device is taken as the target user, the historical data of the target user is obtained, the skin change value of the target user is obtained, and a least squares fitting is performed to construct a curve of the skin change value and the number of times of use to obtain the predicted skin change value of the target user;

[0070] The stability of the target user's skin change value is obtained according to the absolute value of the difference between the target user's actual skin change value and the predicted skin change value.

[0071] Specifically, the stability of the target user's skin change value satisfies the following relationship:

[0072] ;

[0073] In the formula, Indicates the stability of the skin change value of the current individual user in the historical data. Indicates individual user The actual skin change value after using the water light beauty instrument for the first time, Indicates user The predicted skin change value after using the water light beauty instrument for the first time.

[0074] S3: Calculate the operating status of the water-light beauty instrument device according to the stability of the skin change values ​​of the group users and the stability of the skin change values ​​of the individual users, and determine whether the current water-light beauty instrument device needs maintenance and repair according to the current operating status of the water-light beauty instrument.

[0075] Specifically, the operating state satisfies the following relationship:

[0076] ;

[0077] In the formula, Indicates the current operating status of the water light beauty instrument. represents the exponential function, represents the set coefficient, Indicates the amount of historical water light beauty instrument usage data of the current individual user, Indicates the stability of the skin change values ​​of the group users corresponding to all clusters, Indicates the stability of the skin change value of the current individual user in the historical data.

[0078] In this embodiment, , When 0 is taken, When taking its own value, its purpose is to have the amount of historical water light beauty instrument usage data of the current individual user be no less than 10 times, so as to better improve the validity of individual user data.

[0079] In response to the operating state being less than or equal to a preset water light beauty device operating state threshold, the current operating state of the water light beauty device is stable, otherwise a warning is issued to remind the operator to perform maintenance.

[0080] The present invention also provides a water light beauty instrument operation status monitoring system. Figure 2 As shown, the system includes a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the method for monitoring the operating status of a water light beauty device according to the first aspect of the present invention is implemented.

[0081] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and will not be described in detail here.

[0082] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.

[0083] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0084] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A method for monitoring the operating status of a water light beauty instrument, characterized in that: include: Obtaining the operating parameters of the water light beauty instrument and the skin condition data and skin condition value before and after use in the historical data, and taking the percentage of the difference between the skin condition values ​​before and after as the skin change value; The operating parameters in the historical data and the skin condition data before use are used to construct a feature vector, and the feature vector is clustered to obtain the best clustering result, including: Cluster the feature vectors to obtain multiple clustering results, and take any clustering result as the target clustering result, wherein the target clustering result includes multiple clustering clusters, and the variance of the shortest distance between each feature vector and the cluster center in each clustering cluster is used as the evaluation value of the clustering result, and a curve of the evaluation value and the number of cluster centers of the corresponding clustering result is constructed, and the cluster center data volume corresponding to the inflection point in the curve is obtained as the best clustering result; Calculate the stability of the skin change value of the group of users corresponding to each cluster in the best clustering result, and obtain the stability of the skin change value of the individual user currently using the water light beauty instrument in the historical data; According to the stability of the skin change values ​​of the group of users and the stability of the skin change values ​​of the individual users, the operation state of the water light beauty instrument device is calculated. , where Indicates the current operating status of the water light beauty instrument. represents the exponential function, represents the set coefficient, Indicates the amount of historical water light beauty instrument usage data of the current individual user, Indicates the stability of the skin change values ​​of the group users corresponding to all clusters, Indicates the stability of the skin change value of the current individual user in the historical data; determines whether the current water light beauty instrument equipment needs maintenance and repair according to the current operating status of the water light beauty instrument.

2. The method for monitoring the operation status of a water light beauty instrument according to claim 1, characterized in that: in, The operating parameters include: injection dose, injection depth, number of injections, interval time, advancement speed, negative pressure, injection mode and syringe type; the skin condition data include: skin oil content, moisture, pigmentation, pore size and skin elasticity.

3. The method for monitoring the operation status of a water light beauty instrument according to claim 1, characterized in that: The stability of the skin change values ​​of the group of users includes: According to the best clustering result, any cluster is taken as the target cluster, and the product of the variance of the skin change value data of all users in the target cluster and the number of all users in the target cluster is taken as the treatment fluctuation within the target cluster; The cumulative sum of the ratios of the treatment fluctuations to the sum of the number of samples in all clusters is used as the stability of the skin change value of the group of users of the water light beauty instrument device.

4. The method for monitoring the operation status of a water light beauty instrument according to claim 1, characterized in that: The step of obtaining the stability of the skin change value of the individual user currently using the water light beauty instrument in the historical data includes: Individual users who are currently using a water-based beauty device are taken as target users, the feature vectors of the target users in historical data are obtained, and the feature vectors of the target users are clustered; the variance of the shortest distance between each feature vector and the cluster center in each cluster cluster is calculated as the evaluation value of the clustering result, a curve of the evaluation value and the number of cluster centers corresponding to the clustering result is constructed, the inflection point in the curve is obtained, and the number of cluster centers corresponding to the inflection point is taken as the significant clustering result of the target user; according to the sum of the number of treatments in each cluster cluster and the ratio of the variance of the treatment data effect of each cluster cluster to the number of significant cluster clusters in the significant clustering result, the stability of the skin change value of the individual user is obtained.

5. The method for monitoring the operation status of a water light beauty instrument according to claim 1, characterized in that: The step of obtaining the stability of the skin change value of the individual user currently using the water light beauty instrument in the historical data also includes: Individual users who currently use the water light beauty device are taken as target users, and their historical data are obtained to obtain the skin change value of the target users. The least squares fitting is then performed to construct a curve based on the skin change value and the number of times used to obtain the predicted skin change value of the target users. The stability of the target user's skin change value is obtained according to the absolute value of the difference between the target user's actual skin change value and the predicted skin change value.

6. The method for monitoring the operation status of a water light beauty instrument according to claim 1, characterized in that: Determine whether the current water light beauty instrument equipment needs maintenance and repair, including: In response to the operating state being less than or equal to a preset water light beauty device operating state threshold, the current operating state of the water light beauty device is stable, otherwise a warning is issued to remind the operator to perform maintenance.

7. A water light beauty instrument operation status monitoring system, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the method for monitoring the operating status of a water light beauty instrument according to any one of claims 1 to 6 is implemented.

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