Method and system for monitoring the operating status of a negative ion generator for a beauty instrument

Abstract

The present application relates to the field of beauty instruments, and in particular to a method and system for monitoring the operating status of a negative ion generator for a beauty instrument. The method comprises the following steps: calculating the normal probability and abnormal probability of real-time environmental data, normalizing the ratio of the abnormal probability to the normal probability of the real-time environmental data as the abnormality of the real-time environmental data; similarly to the method for calculating the abnormality of the real-time environmental data, calculating the abnormality of the real-time negative ion concentration and the abnormality of the inflection point in the historical negative ion concentration; calculating the isolation of the real-time negative ion concentration, the isolation of the real-time voltage, and the isolation of the real-time current; when one of the isolation of the real-time negative ion concentration, the isolation of the real-time voltage, and the isolation of the real-time current is greater than a set threshold, sending an alarm signal of abnormal operation. The present application performs multi-dimensional analysis on the data of the negative ion generator to achieve a comprehensive monitoring effect.

Description

Technical Field

[0001] The present application relates to the field of beauty instruments, and in particular to a method and system for monitoring the operating status of a negative ion generator used in a beauty instrument. Background Art

[0002] The principle of the negative ion generator used in beauty instruments is: through the high-voltage DC electric field discharge, break through the air, and produce negative trivalent oxygen ions. These negative ions can combine with oxygen in the air to form negatively charged oxygen molecules. Negative ions can penetrate the surface of the skin, promote skin metabolism, and help improve skin conditions, such as reducing wrinkles, fading spots, and increasing skin elasticity. Negative ions can also enhance the permeability of the skin and help the skin better absorb the nutrients in skin care products.

[0003] Through monitoring and analysis, we can fully understand the operating status of the negative ion generator used in beauty instruments to ensure its safety and effectiveness. For example, check whether the voltage and current of the beauty instrument are stable within the safe range to avoid excessive voltage or current causing harm to the human body. Monitor the negative ion concentration during use to ensure that it reaches the expected level. Therefore, it is necessary to test the negative ion concentration, voltage, current and other data.

[0004] The factors that affect the performance of negative ions include environmental factors (temperature and humidity). Temperature affects the generation and survival time of negative ions. Higher temperatures may accelerate the decay of negative ions, while suitable temperatures help the stable existence of negative ions. Humidity that is too high or too low may be detrimental to the generation and maintenance of negative ions. A moderate humidity environment helps the generation and propagation of negative ions. Environmental factors can also affect the detection results of negative ion concentrations. For example, the Chinese patent application document Negative ion concentration detection method, device, equipment and storage medium with patent publication number CN118243737A discloses that the variability of environmental parameters has an impact on the measurement results of negative ion concentrations, such as temperature, humidity and gas composition. Therefore, it is also necessary to monitor the temperature and humidity parameters of the use environment.

[0005] However, existing monitoring methods usually monitor and analyze the data of negative ion generators in a single dimension, which has certain limitations. For example, they only focus on parameters such as negative ion concentration, voltage, and operating environment, but do not combine these parameters for comprehensive evaluation. The monitoring methods in the existing technology may lead to incomplete monitoring and failure to timely detect and handle complex abnormal situations, that is, single-dimensional monitoring has limitations. Summary of the invention

[0006] In order to solve the technical problem that single-dimensional analysis of data from a negative ion generator has limitations, the present application provides a method and system for monitoring the operating status of a negative ion generator for a beauty instrument.

[0007] In the first aspect, the present application provides a method for monitoring the operating status of a negative ion generator for a beauty instrument, which adopts the following technical solution:

[0008] The method for monitoring the operating status of a negative ion generator for a beauty instrument comprises the following steps: calculating the normal probability and abnormal probability of real-time environmental data, normalizing the ratio of the abnormal probability to the normal probability of the real-time environmental data as the abnormality of the real-time environmental data; similarly to the method for calculating the abnormality of the real-time environmental data, calculating the abnormality of the real-time negative ion concentration and the abnormality of the inflection point in the historical negative ion concentration; calculating the isolation of the real-time negative ion concentration; wherein the calculation formula of the isolation of the real-time negative ion concentration is: , Indicates the isolation of real-time negative ion concentration, Indicates the real-time negative ion concentration value. Indicates the inflection point value of the historical negative ion concentration, Indicates the time of collecting real-time negative ion concentration. Indicates the moment when the inflection point appears in the historical negative ion concentration. Indicates the abnormality of real-time negative ion concentration. Indicates the abnormality of the turning point in the historical negative ion concentration; the isolation of the real-time voltage and the isolation of the real-time current are calculated in the same way as the isolation of the real-time negative ion concentration; when one of the isolation of the real-time negative ion concentration, the isolation of the real-time voltage and the isolation of the real-time current is greater than the set threshold, an alarm signal of abnormal operation is sent.

[0009] The beneficial effect is: by analyzing the historical negative ion concentration data and combining the abnormality of real-time environmental data to determine the inflection points in the data, these inflection points may indicate significant changes in negative ion concentration. During the use of the beauty instrument, the instability of negative ion concentration, voltage and current will directly lead to abnormal operation of the beauty instrument. At the same time, the impact of environmental data on the use is taken into account, and the abnormal conditions that may occur during the use are fully monitored and comprehensively analyzed to conduct multi-dimensional and comprehensive monitoring of the use of the negative ion generator for the beauty instrument, and determine whether there are abnormalities. When there are abnormalities during the use process, an alarm signal is sent to remind the user to ensure the safety of the beauty instrument during use, avoid safety problems caused by equipment failure, and promptly discover and solve problems, which can extend the service life of the equipment.

[0010] Optionally, the method for determining the inflection point of the historical negative ion concentration includes the steps of: setting formula 1: , Formula 2: , Formula 3: , Formula 4: ,in, express Historical negative ion concentration at all times, express The historical negative ion concentration at the time, express The historical negative ion concentration at the time, Represents a preset constant, Indicates the abnormality of real-time environmental data; in response to the historical negative ion concentration at any time satisfying Formula 3, Formula 4 and Formula 1 or Formula 2, the moment is determined to be the moment of the inflection point of the historical negative ion concentration, and the value of the historical negative ion concentration at the inflection point is the inflection point value.

[0011] The beneficial effects are: Limits the fluctuation of the inflection point. When the negative ion generator is used abnormally The larger it is, the greater the risk of abnormality when used. The smaller, right as well as The smaller the restriction, the smaller the fluctuation restriction on the inflection point, and vice versa, the greater the fluctuation restriction on the inflection point.

[0012] Optionally, calculating the normal probability and abnormal probability of real-time environmental data includes: inputting the real-time environmental data into a preset first Gaussian model to generate the abnormal probability of the real-time environmental data; inputting the real-time environmental data into a preset second Gaussian model to generate the normal probability of the real-time environmental data.

[0013] The beneficial effect is that using two Gaussian models to train normal and abnormal data respectively can more accurately capture the distribution characteristics of these two states. In this way, in a real-time environment, for new environmental data, it is possible to determine whether it is abnormal by comparing its probability in the two models, thereby improving the accuracy of anomaly detection.

[0014] Optionally, the training process of the first Gaussian model and the second Gaussian model includes the steps of: obtaining preprocessed historical environmental data, setting normal labels or abnormal labels for the historical environmental data, and obtaining normal state training sets and verification sets, abnormal state training sets and verification sets; training an initial Gaussian model according to the abnormal state training set and verification set to obtain the first Gaussian model, and training another initial Gaussian model according to the normal state training set and verification set to obtain the second Gaussian model; obtaining real-time environmental data, inputting the real-time environmental data into the first Gaussian model, generating abnormal probability of the real-time environmental data, and inputting the real-time environmental data into the second Gaussian model to generate normal probability of the real-time environmental data.

[0015] Optionally, the preprocessing process includes: data cleaning and filling missing values ​​for the collected historical environmental data.

[0016] The beneficial effects are: Data cleaning is an important step to remove noise and inconsistencies in the data set, which ensures that the data used in the analysis process is accurate and reliable. By filling in missing values, bias can be prevented in subsequent analysis, as missing data may affect the performance of the model and the accuracy of the results.

[0017] Optionally, the method of filling missing values ​​is to use the mean, median or mode of historical environmental data to fill missing values.

[0018] The beneficial effect is that using the mean, median or mode to fill in missing values ​​can maintain the original distribution characteristics of the data to a certain extent.

[0019] Optionally, the historical environmental data includes historical temperature data and historical humidity data, and the real-time environmental data includes real-time temperature data and real-time humidity data.

[0020] In the second aspect, the present application provides an operation status monitoring system for a negative ion generator for a beauty instrument, which adopts the following technical solution:

[0021] The operating status monitoring system of a negative ion generator for a beauty instrument comprises: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the operating status monitoring method of the negative ion generator for a beauty instrument is implemented.

[0022] The above-mentioned method for monitoring the operating status of the negative ion generator of the beauty instrument is generated into a computer program and stored in a memory so as to be loaded and executed by a processor. Thus, a system is made based on the memory and the processor for easy use.

[0023] This application has the following technical effects:

[0024] 1. During the use of the beauty instrument, the instability of negative ion concentration, voltage and current will directly lead to abnormal operation of the beauty instrument. At the same time, the impact of environmental data on use is taken into consideration. By analyzing the historical negative ion concentration data and combining the real-time environmental data abnormality to determine the inflection points in the data, these inflection points may indicate significant changes in negative ion concentration. Comprehensive monitoring and comprehensive analysis of abnormal situations that may occur during use are carried out to conduct multi-dimensional and comprehensive monitoring of the use of negative ion generators for beauty instruments and determine whether there are any abnormalities.

[0025] 2. When there is an abnormality during use, an alarm signal will be sent to remind the user to ensure the safety of the beauty instrument during use, avoid safety problems caused by equipment failure, and discover and solve problems in time to extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become easily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-restrictive manner, and the same or corresponding numbers represent the same or corresponding parts.

[0027] Figure 1 It is a method flow chart of the operating status monitoring method of the negative ion generator for the beauty instrument in the embodiment of the present application.

[0028] Figure 2 It is a method flow chart of the training process of the first Gaussian model and the second Gaussian model in the operating status monitoring method of the negative ion generator for the beauty instrument in the embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0030] It should be understood that when the terms "first", "second", etc. are used in the claims, specification and drawings of the present application, they are only used to distinguish different objects, rather than to describe a specific order. The terms "include" and "comprise" used in the specification and claims of the present application indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their collections.

[0031] The present application embodiment discloses a method for monitoring the operating status of a negative ion generator for a beauty instrument, referring to Figure 1 , including steps S1 to S5, which are specifically as follows:

[0032] S1: Calculate the normal probability and abnormal probability of the real-time environment data, and normalize the ratio of the abnormal probability to the normal probability of the real-time environment data as the abnormality degree of the real-time environment data.

[0033] In one embodiment, the historical environmental data includes historical temperature data and historical humidity data, and the real-time environmental data includes real-time temperature data and real-time humidity data. In other embodiments, the historical environmental data may be set to only historical temperature data, and the real-time environmental data may be set to only historical temperature data. Alternatively, the historical environmental data may be set to only historical humidity data, and the real-time environmental data may be set to only historical humidity data.

[0034] In one embodiment, in order to monitor variables such as ambient temperature, humidity, negative ion concentration, voltage and current during use, a temperature sensor and a humidity sensor are set on the beauty instrument to collect temperature data and humidity data of the environment. A negative ion concentration sensor is installed near the area where the beauty instrument releases negative ions to monitor the concentration of negative ions released by the beauty instrument. A negative ion concentration sensor is installed on the beauty instrument to monitor the concentration of negative ions, a current sensor is installed at the power supply interface of the device to monitor current changes, and a voltage sensor is installed to monitor voltage changes.

[0035] The calculation method of normal probability and abnormal probability is: input real-time environmental data into the preset first Gaussian model to generate the abnormal probability of real-time environmental data; input real-time environmental data into the preset second Gaussian model to generate the normal probability of real-time environmental data.

[0036] The training process of the first Gaussian model and the second Gaussian model is as follows: Figure 2 , including steps S10 to S12, which are specifically as follows:

[0037] S10: Obtain preprocessed historical environmental data, set normal labels or abnormal labels for the historical environmental data, and obtain normal state training sets and verification sets, and abnormal state training sets and verification sets.

[0038] The preprocessing process includes: cleaning the collected historical environmental data and filling in missing values. The method of filling in missing values ​​is: using the mean, median or mode of the historical environmental data to fill in missing values.

[0039] The pre-processed historical environmental data is labeled, including normal labels and abnormal labels, to obtain a data set. The labels are set by the user based on experience. For example, in the historical data, the label corresponding to the environmental data where the negative ion concentration is qualified is normal, and the label corresponding to the environmental data where the negative ion concentration is unqualified is abnormal.

[0040] S11: An initial Gaussian model is trained according to the abnormal state training set and the validation set to obtain a first Gaussian model, and another initial Gaussian model is trained according to the normal state training set and the validation set to obtain a second Gaussian model.

[0041] The Gaussian model, the training method of the Gaussian model and the model verification method are existing technologies and will not be described in detail here.

[0042] S12: Acquire real-time environmental data, input the real-time environmental data into a first Gaussian model to generate an abnormal probability of the real-time environmental data, input the real-time environmental data into a second Gaussian model to generate a normal probability of the real-time environmental data.

[0043] The calculation method of the abnormality degree is: normalize the ratio of the abnormal probability to the normal probability of the real-time environmental data and take it as the abnormality degree of the real-time environmental data.

[0044] The expression of abnormality is expressed as: ,in, It indicates the abnormality of real-time environmental data. The greater the abnormality, the greater the difference between the environment in which the negative ion generator is used and the appropriate environment, and the greater the possibility that the negative ion generator will produce poor negative ion concentration.

[0045] S2: The abnormality of real-time negative ion concentration and the abnormality of the turning point in the historical negative ion concentration are calculated in the same way as the abnormality of real-time environmental data.

[0046] In one embodiment, the inflection point of the historical negative ion concentration is determined by:

[0047] Setting formula 1: , Formula 2: , Formula 3: , Formula 4: .

[0048] in, express Historical negative ion concentration at all times, express The historical negative ion concentration at the time, express The historical negative ion concentration at the time, Represents a preset constant, Indicates the abnormality of real-time environmental data.

[0049] represents a preset constant, which is set to 0.1 for example. Limits the fluctuation of the inflection point. When the abnormality of real-time environmental data The larger it is, the greater the risk of abnormal equipment operation. The smaller, right as well as The smaller the restriction, the smaller the fluctuation restriction on the inflection point, and vice versa, the greater the fluctuation restriction on the inflection point.

[0050] In response to the historical negative ion concentration at any time satisfying Formula 3, Formula 4 and Formula 1 or Formula 2, the moment is determined to be the moment of the inflection point of the historical negative ion concentration, and the value of the historical negative ion concentration at the inflection point is the inflection point value.

[0051] According to the abnormality of the environment, the inflection point of the negative ion concentration can be found (the inflection point is the point where a mutation occurs). Similarly, the inflection points of voltage and current can be found.

[0052] S3: Calculate the isolation of real-time negative ion concentration.

[0053] Isolation refers to the degree of difference between the data at a certain moment and the data at the historical moment. The greater the isolation, the greater the deviation between the real-time data and the historical data, and the greater the possibility of abnormality. The calculation formula for the isolation of real-time negative ion concentration is:

[0054] , Indicates the isolation of real-time negative ion concentration, Indicates the real-time negative ion concentration value. Indicates the inflection point value of the historical negative ion concentration, Indicates the time of collecting real-time negative ion concentration. Indicates the moment when the inflection point appears in the historical negative ion concentration. Indicates the abnormality of real-time negative ion concentration. Indicates the abnormality of the inflection point in the historical negative ion concentration.

[0055] S4: The isolation of real-time voltage and real-time current are calculated in the same way as the isolation of real-time negative ion concentration.

[0056] The specific calculations are not described here. During the use of the negative ion generator, the instability of the negative ion concentration, voltage and current will directly lead to abnormal use of the instrument. Therefore, finding the moment when the negative ion concentration, voltage and current fluctuate during use will find the abnormal operation and complete the monitoring of the beauty instrument operation data.

[0057] S5: When one of the isolation degree of the real-time negative ion concentration, the isolation degree of the real-time voltage and the isolation degree of the real-time current is greater than the set threshold, an abnormal operation alarm signal is sent.

[0058] The closer the real-time data is to the turning point of the historical data, the greater the isolation of the real-time data, and the greater the possibility of abnormality in the real-time data. When one of the isolation of the real-time negative ion concentration, the isolation of the real-time voltage, and the isolation of the real-time current is greater than the set threshold, for example, the set threshold can be 0.6, it is determined that the operation data of the beauty instrument is abnormal, and an alarm signal of abnormal operation is sent. Otherwise, monitoring continues without alarming.

[0059] Exemplarily, the alarm signal may be a sound warning or a notification sent through a communication network. The sound warning alerts the operator or user to the abnormal situation. The notification sent through the communication network may be the time when the abnormality occurred, the parameters involved, the specific value of the isolation degree, and the possible cause of the abnormality. These data are sent to the monitoring terminal, and relevant personnel can conduct corresponding inspections and processing according to the alarm content to ensure equipment safety and operational efficiency.

[0060] An embodiment of the present application also discloses an operating status monitoring system for a negative ion generator for a beauty instrument, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, an operating status monitoring method for a negative ion generator for a beauty instrument according to the present application is implemented.

[0061] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.

[0062] In the present application, 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.

[0063] Although this specification has shown and described a plurality of embodiments of the present application, it is obvious to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, modifications and alternatives without departing from the thought and spirit of the present application. It should be understood that in the process of practicing the present application, various alternatives to the embodiments of the present application described herein may be adopted.

[0064] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for monitoring the operating status of a negative ion generator for a beauty instrument, characterized in that: The method comprises the steps of: calculating the normal probability and abnormal probability of the real-time environment data, and normalizing the ratio of the abnormal probability to the normal probability of the real-time environment data as the abnormality degree of the real-time environment data; The abnormality of real-time negative ion concentration and the abnormality of the turning point in historical negative ion concentration are calculated in the same way as the abnormality of real-time environmental data. Calculate the isolation of the real-time negative ion concentration; wherein the calculation formula of the isolation of the real-time negative ion concentration is: , Indicates the isolation of real-time negative ion concentration, Indicates the real-time negative ion concentration value. Indicates the inflection point value of the historical negative ion concentration, Indicates the time of collecting real-time negative ion concentration. Indicates the moment when the inflection point appears in the historical negative ion concentration. Indicates the abnormality of real-time negative ion concentration. Indicates the abnormality of the inflection point in the historical negative ion concentration; The isolation degree of real-time voltage and the isolation degree of real-time current are calculated in the same way as the isolation degree of real-time negative ion concentration; when one of the isolation degree of real-time negative ion concentration, the isolation degree of real-time voltage and the isolation degree of real-time current is greater than the set threshold, an alarm signal of abnormal operation is sent; The method for determining the inflection point of historical negative ion concentration includes the steps of: Setting formula 1: , Formula 2: , Formula 3: , Formula 4: ,in, express Historical negative ion concentration at all times, express The historical negative ion concentration at the time, express The historical negative ion concentration at the time, Represents a preset constant, Indicates the abnormality of real-time environmental data; in response to the historical negative ion concentration at any time satisfying Formula 3, Formula 4 and Formula 1 or Formula 2, the moment is determined to be the moment of the inflection point of the historical negative ion concentration, and the value of the historical negative ion concentration at the inflection point is the inflection point value; Calculating the normal probability and abnormal probability of real-time environmental data includes: inputting the real-time environmental data into a preset first Gaussian model to generate the abnormal probability of the real-time environmental data; inputting the real-time environmental data into a preset second Gaussian model to generate the normal probability of the real-time environmental data.

2. The method for monitoring the operating status of a negative ion generator for a beauty instrument according to claim 1, characterized in that: The training process of the first Gaussian model and the second Gaussian model includes the following steps: Obtain preprocessed historical environmental data, set normal labels or abnormal labels for the historical environmental data, and obtain normal state training sets and verification sets, and abnormal state training sets and verification sets; An initial Gaussian model is trained according to the abnormal state training set and the validation set to obtain the first Gaussian model, and another initial Gaussian model is trained according to the normal state training set and the validation set to obtain the second Gaussian model; Real-time environmental data is obtained, input into a first Gaussian model, and an abnormal probability of the real-time environmental data is generated; and real-time environmental data is input into a second Gaussian model, and a normal probability of the real-time environmental data is generated.

3. The method for monitoring the operating status of a negative ion generator for a beauty instrument according to claim 2, characterized in that: The preprocessing process includes: data cleaning and filling missing values ​​for the collected historical environmental data.

4. The method for monitoring the operating status of a negative ion generator for a beauty instrument according to claim 3, characterized in that: The method to fill missing values ​​is to use the mean, median or mode of historical environmental data to fill missing values.

5. The method for monitoring the operating status of a negative ion generator for a beauty instrument according to claim 1, characterized in that: The historical environmental data includes historical temperature data and historical humidity data, and the real-time environmental data includes real-time temperature data and real-time humidity data.

6. An operating status monitoring system for a negative ion generator for a beauty instrument, 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 operating status monitoring method of the negative ion generator for a beauty instrument according to any one of claims 1-5 is implemented.

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