Vibration adjusting method of female massager, vibration adjusting method of female massager and female massager

Abstract

The invention discloses a vibration adjusting method of a female massager, a vibration adjusting method of the female massager and the female massager, and relates to the technical field of massage device.According to the vibration adjusting method of the female massager, an annular pressure sensor is used for detecting vagina pressure data; and the AI software judges the time and duration of the high tide and the corresponding vibration frequency and time and generates a record table. According to the method, comfort parameters are analyzed based on a record table, a first-time improved vibration data set is generated and stored in a first database, feedback is collected after the first-time improved vibration data set is pushed to a user, a second-time improved data set is generated according to the feedback and stored, and personalized vibration mode dynamic optimization based on physiological data and subjective feedback is achieved. According to the technical scheme, intelligent and personalized vibration mode adjustment is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of massage equipment, in particular to a vibration adjustment method of a female massager, the vibration adjustment method of the female massager and the female massager. BACKGROUND

[0002] The current market female massager, its vibration mode control method generally exists technical limitations: most products adopt the design of preset fixed vibration mode, that is, 3 to 10 kinds of fixed frequency and intensity vibration combinations are built-in when leaving factory, and users can only switch the mode through the simple operation interface of the massager body button or the matching mobile communication device, and cannot obtain the precise vibration mode according to the real-time vibration demand (such as "soft gradual vibration", "intermittent pulse vibration", "low intensity long endurance vibration" and other personalized description). SUMMARY

[0003] The main purpose of the present application is to provide a vibration adjustment method of a female massager, a vibration adjustment method of the female massager and the female massager, which can freely control the vibration mode.

[0004] To achieve the above purpose, the vibration adjustment method of the female massager provided by the present application, the female massager is in communication connection with a mobile communication device, and the method comprises the following steps: Step S1, in the vibration mode, the annular pressure sensor on the female massager can detect the change of the vaginal pressure data and transmit the vaginal pressure data to the AI software on the mobile communication device; Step S2, the AI software judges the time when the user reaches the climax state and the duration of the climax according to the vaginal pressure data, generates a record table, and the record table records the vibration frequency and vibration time of the female massager when the user reaches the climax state and in the climax state; Step S3, the AI software analyzes the values of the vibration frequency and the vibration time that can make the user feel comfortable according to the record table, generates a first improved vibration data group, and stores the first improved vibration data group into a first database; Step S4, the first improved vibration data group is pushed to the user through the mobile communication device, and the user feedback information is collected; Step S5, the AI software analyzes the user feedback information, generates a second improved vibration data group, and stores the second improved vibration data group into the first database.

[0005] In an embodiment, the female massager has a scene library, and the scene library has at least one massage scene model, and the massage scene model corresponds to at least one vibration data set in the first database; The method further includes: in step S6, when the massage scene model corresponds to at least three vibration data sets, after the female massager is turned on, the AI software collects the at least three vibration data sets into an analysis group, performs fitting analysis on the vibration data sets in the analysis group, generates a new vibration data set, and stores the new vibration data set into the first database; In step S7, the newly generated vibration data set is pushed to the user.

[0006] In an embodiment, after the female massager is started, the method further includes: in step S8, the user inputs at least one of a vibration requirement, environmental information, and user mood through a mobile communication device, the AI software analyzes the vibration requirement, the environmental information, and the user mood, extracts a positive prompt word, and acquires the massage scene model according to the positive prompt word; In step S9, the AI software searches for a vibration data set integration group associated with the massage scene model in the first database according to the positive prompt word, and the vibration data set integration group includes at least one vibration data set; In step S10, in the vibration data set integration group, the AI software performs secondary matching on the vibration data sets in the vibration data set integration group according to the positive prompt word, and collects the matched vibration data sets into the analysis group in step S6.

[0007] In an embodiment, in step S8, the AI software queries the massage scene model in the scene library according to the positive prompt word; when the scene library does not have a matched massage scene model, the AI software establishes a new massage scene model according to the positive prompt word, and stores the newly established massage scene model into the scene library.

[0008] In an embodiment, the massage scene model includes a scene label, a scene description, and a scene keyword, the AI software queries the massage scene model in the scene library according to the scene keyword, the scene label is associated with at least one vibration data set in the first database, and the scene keyword is extracted from the scene description by the AI software.

[0009] In an embodiment, when a new massage scene model is established, the vibration data set is searched in the first database according to the forward prompt word, and the scene label of the newly established massage scene model is associated with the searched vibration mode.

[0010] In an embodiment, the AI software generates a vibration curve graph according to the recommended vibration data set, and displays the vibration curve graph to the user through the mobile communication device, wherein the X-axis of the vibration curve graph is the time axis, and the Y-axis is the vibration frequency axis.

[0011] In an embodiment, the female massager comprises an in-vivo shell inserted into the vagina and an in-vivo shell abutting against the clitoris, and the vibration data set comprises the vibration frequency of the in-vivo shell, the vibration time, and the vibration frequency of the in-vivo shell, the vibration time.

[0012] The present application also provides a vibration adjustment method of a female massager, wherein the female massager is communicatively connected with a mobile communication device, and the method comprises: The user customizes a new vibration mode on the mobile communication device, and stores the new vibration mode in a second database on the mobile communication device, so that the user can select any stored vibration mode in the second database, and the stored vibration mode in the second database can be deleted by the user.

[0013] The present application also provides a female massager, which comprises an in-vivo shell inserted into the vagina and an in-vivo shell abutting against the clitoris, a first vibration assembly arranged in the in-vivo shell, and a second vibration assembly arranged in the in-vivo shell, and a ring-shaped pressure sensor arranged on the outer wall surface of the in-vivo shell, wherein the ring-shaped pressure sensor, the first vibration assembly, and the second vibration assembly are electrically connected with a control module, and the control module is communicatively connected with the mobile communication device.

[0014] In the technical scheme of the present application, the vaginal pressure data change is detected in real time by the ring-shaped pressure sensor on the female massager, the AI software can objectively determine the time, duration, corresponding vibration frequency, and vibration time when the user reaches the climax state, and generate a record table. The scheme is based on the real physiological response data of the user, so that the vibration mode adjustment is more suitable for the actual sensitive points and comfortable threshold of the user's body.

[0015] The AI software analyzes the vibration frequency and vibration time values that can make the user feel comfortable according to the record table, and generates a first improved vibration data set. This step realizes the preliminary individual customization of the vibration mode by data mining the association rules of the user's physiological response and vibration parameters, such as the optimal frequency and duration at the climax, so as to ensure that the mode adjustment has scientific data support.

[0016] The first improved vibration data set is pushed through the mobile communication device, and user feedback is collected. The AI software further generates a second improved vibration data set according to the feedback information. This process combines objective physiological data with subjective user experience. When the user feedbacks "insufficient intensity" or "too fast frequency", the vibration parameters can be modified accordingly to avoid the individual subjective preferences that may be overlooked due to the reliance on physiological data alone. This makes the optimization results more consistent with the user's overall experience.

[0017] Both the twice-improved vibration data sets are stored in the first database to form a user-specific vibration mode library. As the number of uses increases, the database can accumulate more user physiological characteristics and feedback data. The AI software can continuously optimize based on historical data to achieve more accurate adaptation with longer use, significantly improving long-term use experience.

[0018] The entire adjustment process is completed by the AI software, from physiological data collection and analysis to mode generation and pushing. Users only need to provide feedback to obtain customized vibration modes. This improves the convenience of operation, especially for scenarios that require quick and accurate access to comfortable experiences. BRIEF DESCRIPTION OF DRAWINGS

[0019] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can be obtained from the structures shown in these drawings without creative labor.

[0020] Figure 1 The flowchart of an embodiment of the vibration adjustment method of the female massager provided by the present application; Figure 2 Another flowchart of the embodiment shown in Figure 1 Figure 3 The flowchart of another vibration adjustment method of the female massager provided by the present application; Figure 4 The structure diagram of the female massager provided by the present application; Figure 5 Another structure diagram of the embodiment shown in Figure 4

[0021] Explanation of reference numerals: 11, in-vivo housing; 12, extra-corporeal housing; 200, vibration module; 21, first vibration component; 22, second vibration component; 300, control module; 42, annular pressure sensor. ​​

[0022] The objectives, functional characteristics and advantages of the present application will be further described with reference to the embodiments in combination with the accompanying drawings. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0024] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative positional relationship, movement condition, etc. between components in a certain posture, and if the certain posture changes, the directional indications also change accordingly.

[0025] In addition, if the embodiments of the present application involve descriptions such as "first", "second", etc., the descriptions of "first", "second", etc. are only for description purposes, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, "and / or" or "and / or" appearing throughout the text means that the three parallel schemes are included, for example, "A and / or B" includes A scheme, or B scheme, or A and B are satisfied at the same time. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the fact that a person of ordinary skill in the art can realize it, and when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist and is not within the protection scope claimed by the present application.

[0026] The present application provides a vibration adjustment method of a female massager.

[0027] Please refer to Figures 1 to 2 、 Figures 4 to 5 In an embodiment of the present application, the vibration adjustment method of the female massager, the female massager is in communication connection with a mobile communication device, and the method comprises: Step S1, in the vibration mode, the annular pressure sensor 42 on the female massager can detect the change of the vaginal pressure data and transmit the vaginal pressure data to the AI software on the mobile communication device; that is, when the user selects and starts the vibration mode, the female massager starts to work, and the annular pressure sensor 42 thereon will monitor the pressure change of the user's vaginal inner wall on the massager in real time, and these data will be transmitted in real time to the AI software on the mobile communication device through wireless connection for analysis.

[0028] Step S2, the AI software generates a record table according to the time when the user reaches the climax state and the duration of the climax, and records the vibration frequency and vibration time of the female massager when the user reaches the climax state and during the climax state. Physiologically, a woman experiences a series of numerical changes in pelvic floor muscle pressure when she experiences an orgasm, and the vaginal pelvic floor muscle pressure increases significantly during the orgasm. Therefore, according to the physiological values returned by the annular pressure sensor 42, the AI software identifies whether the user has reached the climax state by analyzing the change pattern of the pressure data, records the relevant time point, duration, and working parameters of the massager at that time, including vibration frequency and vibration intensity. These data are arranged into a structured record table for subsequent analysis and optimization.

[0029] Step S3, the AI software analyzes the values of vibration frequency and vibration time that make the user feel comfortable according to the record table, generates a first improved vibration data set, and stores the first improved vibration data set in the first database. Through analysis of multiple use records, the AI software can identify the vibration parameter combination that is most likely to make a specific user reach a climax, and generate a personalized improved vibration data set accordingly. These improved patterns will be stored in the first database for subsequent use by the user.

[0030] Step S4, the first improved vibration data set is pushed to the user through a mobile communication device, and user feedback information is collected; after the use experience is completed, the system will show a feedback interface to the user through the mobile communication device, and the user can rate the vibration data set used this time, add comments or make suggestions for improvement, such as "strengthen", "weaken", "more relaxing", etc. These feedback information will be collected and stored by the system.

[0031] Step S5, the AI software analyzes the user feedback information, generates a second improved vibration data set, and stores the second improved vibration data set in the first database. The AI software will combine the user's subjective feedback and the objective data collected previously to further optimize the vibration data set, generate a new improved version, and store it in the first database, constantly enriching and perfecting the vibration data set library.

[0032] It should be noted that after obtaining the feedback information, the AI software stores the used vibration data set into the first database, and performs semantic analysis on the suggestions made by the user feedback, according to the conclusion of the semantic analysis, searches for matching vibration data sets in the first database again, if there are matching vibration data sets, directly recommends the vibration data set to the user, if there are no matching vibration data sets, recommends similar vibration data sets to the user, and additionally recommends new vibration data sets generated by the AI software according to the user's needs In the technical solution of the present application, the vaginal pressure data changes are detected in real time by the annular pressure sensor 42 on the female massager, and the AI software can objectively judge the time, duration, corresponding vibration frequency and vibration time when the user reaches the climax state, and generate a record table. This scheme is based on the user's real physiological response data, so that the vibration mode adjustment is more in line with the actual sensitive points and comfort threshold of the user's body.

[0033] The AI software generates a first improved vibration data set according to the record table analysis of the vibration frequency and vibration time values that make the user feel comfortable. This step realizes the preliminary individual customization of the vibration mode by data mining the correlation between user physiological response and vibration parameters, such as optimal frequency and duration at climax, etc., ensuring that the mode adjustment is scientifically supported.

[0034] The AI software further generates a second improved vibration data set according to the feedback information by pushing the first improved vibration data set through the mobile communication device and collecting user feedback. This process combines objective physiological data with user subjective experience. When the user feedbacks "insufficient intensity" "too fast frequency", etc., the vibration parameters can be modified accordingly to avoid the individual subjective preferences that may be overlooked by relying solely on physiological data, so that the optimization result is more in line with the user's comprehensive experience.

[0035] Both the twice improved vibration data sets are stored in the first database to form a user-specific vibration mode resource library. As the number of uses increases, the database can accumulate more user physiological characteristics and feedback data, and the AI software can continuously optimize based on historical data to achieve more accurate adaptation with longer use, significantly improving long-term use experience.

[0036] The entire adjustment process is completed by the AI software from physiological data collection, analysis to mode generation and pushing, and the user only needs to provide feedback to obtain a customized vibration mode. This improves the operation convenience, especially for scenarios that require quick and accurate access to comfortable experience.

[0037] In an embodiment, the female massager has a scene library, and the scene library has at least one massage scene model, and each massage scene model corresponds to at least one vibration data set in the first database; The method further comprises: step S6, when the massage scene model corresponds to at least three vibration data sets, the AI software collects the at least three vibration data sets into an analysis group after starting the female massager, performs fitting analysis on the vibration data sets in the analysis group, generates a new vibration data set, and stores the new vibration data set in the first database; Step S7, push the newly generated vibration data set to the user.

[0038] The AI software generates a new vibration data set through fitting analysis to realize dynamic optimization of the vibration mode in the same scenario. For example, the "pre-sleep relaxation scenario" may accumulate multiple data sets such as slow incremental frequency, wave intensity, long low frequency, etc. Fitting analysis can extract common rules, such as the vibration frequency interval that the user prefers to use, and generate a composite optimization mode that better meets the needs of the scenario by combining the advantages of the differences, solving the problem that a single data set cannot cover the diversified needs in the scenario.

[0039] It should be noted that in step S6, when the massage scenario model in the first database corresponds to less than three vibration data sets, the AI software queries the closest vibration data set in the vibration data set corresponding to the first database according to the positive prompt word and recommends it to the user.

[0040] Of course, in other embodiments, intelligent adjustment of the vibration data set can also be performed only through user text feedback.

[0041] In an embodiment, after starting the female massager, the method further comprises: step S8, the user inputs at least one of the vibration requirements, environmental information, and user mood through the mobile communication device, the AI software analyzes the vibration requirements, environmental information, and user mood, extracts the positive prompt word, and obtains the massage scenario model according to the positive prompt word; Step S9, the AI software finds the vibration data set integration group associated with the massage scenario model in the first database according to the positive prompt word, and the vibration data set integration group includes at least one vibration data set; Step S10, in the vibration data set integration group, the AI software performs secondary matching on the vibration data sets in the vibration data set integration group according to the positive prompt word, and collects the matched vibration data sets into the analysis group in step S6.

[0042] Specifically, the user can input specific requirements for the female massager vibration data set through the application interface on the mobile communication device, such as vibration intensity, frequency, duration, etc. or express the desired vibration effect in the form of a text description. The AI software extracts keywords and semantic information from the user's input text description through natural language processing technology and converts them into system-recognizable positive prompt words such as "gentle", "intense", "progressive", "wave", "silent", etc. These prompt words will be used for subsequent vibration data set matching.

[0043] The AI software establishes a massage scene model and confirms the newly established massage scene model to the user; the AI software combines the input requirements of the user to construct a massage scene model suitable for the current environment. For example, in the case of dim light and quiet environment, a "relaxation" type of scene model can be constructed; or in the case of working hours, bright light, and slight environmental noise, a "office relaxation" scene model is constructed. After construction, the system will show the user a description of the scene model and request the user to confirm whether it meets the expectations.

[0044] It should be noted that in the process of searching information, for example, searching for vibration data sets in the first database and searching for massage scene models in the scene library, reordering operations are performed on the search results. That is, among the first 10 results collected, the top 3 most relevant results are selected again. At this time, in step S9, the most relevant vibration data sets are compiled into an analysis group for fitting analysis. If the collected results are less or no matching results are found, the system will search for similar results in the first database or the scene library. The final results are formatted and sorted by similarity (e.g., from high to low).

[0045] Of course, in other embodiments, step S10 can not be included, and after step S9, the AI software will compile all vibration data sets corresponding to the massage scene model into an analysis group for analysis.

[0046] Further, the AI software can obtain surrounding environment information through a mobile communication device. The mobile communication device collects environmental information, including environmental light intensity, environmental noise level, environmental temperature, humidity, etc., through the network and other means, records the start time through the start time of the female massager, and invites the user to fill in the current mood data. These information will be used to construct a massage scene model that is more suitable for the current use environment.

[0047] Further, the user can call the AI to adjust the vibration data set after a vibration pattern occurs or during vibration.

[0048] In an embodiment, in step S8, the AI software queries the massage scene model in the scene library according to the positive prompt word; when the scene library does not have a matching massage scene model, the AI software establishes a new massage scene model according to the positive prompt word and stores the newly established massage scene model in the scene library to enrich the scene library and improve the accuracy of future matching. In other embodiments, after no massage scene model is found, the system can return to step S8, i.e., start the entire vibration adjustment process again, and the user inputs new vibration requirements through the mobile communication device.

[0049] In an embodiment, the massage scene model includes a scene label, a scene description, and a scene keyword. The AI software queries the massage scene model in the scene library according to the scene keyword. The scene label is associated with at least one set of vibration data in the first database. The scene keyword is extracted from the scene description by the AI software. The scene description helps the user to understand the scene information, and the scene keyword helps the AI software to search accurately. In other embodiments, the scene description can also be omitted.

[0050] In an embodiment, when a new massage scene model is established, the vibration data set is searched in the first database according to the positive prompt word, and the scene label of the newly established massage scene model is associated with the searched vibration pattern.

[0051] In other embodiments, when there is no matching massage scene model, the newly established massage scene model can also be stored in the scene library, and the vibration data set is customized.

[0052] In an embodiment, the AI software generates a vibration curve graph according to the recommended vibration data set, and displays the vibration curve graph to the user through the mobile communication device. The X-axis of the vibration curve graph is the time axis, and the Y-axis is the vibration frequency axis.

[0053] In an embodiment, the female massager includes an in-vivo shell 11 inserted into the vagina and an extra-corporeal shell 12 abutting the clitoris. The vibration data set includes the vibration frequency and vibration time of the in-vivo shell 11, and the vibration frequency and vibration time of the extra-corporeal shell 12. This dual stimulation design can simultaneously take care of the sensitive areas of the vaginal wall and the clitoris, providing a more comprehensive massage experience. The AI software can control the vibration parameters of the two parts respectively, realizing more refined adjustment of the vibration data set. In other embodiments, the female massager can also not include the extra-corporeal shell 12, or the AI software can only control the vibration of the in-vivo shell 11.

[0054] Please refer to Figures 3 to 5 The present application also proposes a vibration adjustment method of a female massager. The female massager is connected with a mobile communication device through wireless communication technology such as Bluetooth, WiFi or NFC. The mobile communication device can be a smart phone, a tablet computer or other portable devices with communication function. A dedicated application program (i.e. AI software) is installed on the mobile communication device for controlling and managing the vibration mode of the female massager. The vibration adjustment method of the female massager includes: The user customizes new vibration data sets on the mobile communication device, including adjusting the vibration intensity curve, setting the vibration frequency change, defining the vibration duration and interval time, combining different types of vibration data sets, etc. The new vibration data sets are stored in the second database on the mobile communication device. The second database is a data storage area created by the application locally on the mobile communication device, specifically for saving user-defined vibration data sets. The database uses encryption storage technology to ensure user privacy and security. During storage, the application generates a unique identifier associated with each vibration data set and records metadata information such as creation date and last modification date.

[0055] The user can select any stored vibration data set in the second database. Specifically, the user can access all vibration data sets stored in the second database through the "My Vibration Data Sets" or similar function page of the application. The application displays these patterns in a list or grid format, showing information such as name, creation date, and usage frequency. The user can browse, preview, and search these vibration data sets and choose the appropriate pattern according to personal preferences. When the user selects a vibration data set, they can transmit the pattern to the female massager and activate it by clicking the "Apply" or "Start" button. The application also provides vibration data set classification and tagging functions to help users more effectively organize and find their created patterns.

[0056] The vibration data sets stored in the second database can be deleted by the user. The user can manage the vibration data sets in the second database, including deleting patterns that are no longer needed. In the vibration data set management interface of the application, the user can select one or more vibration data sets and click the "Delete" button. The application will pop up a confirmation dialog box prompting the user to confirm the deletion operation. After the user confirms, the application will permanently remove the selected vibration data sets and their related data from the second database. The deletion operation is irreversible, but the application provides a "Recently Deleted" function that allows the user to recover mistakenly deleted vibration data sets within a certain time period.

[0057] In an embodiment, the application provides vibration data set editing and modification functions. The user can select an existing vibration data set in the second database for editing, modify its parameter settings or rename it, and then save the modified version as a new vibration data set or overwrite the original pattern.

[0058] It should be noted that the AI software can synchronize the information in the second database to the first database. When the user first uses the female massager, or when no matching vibration data set is found in the first database, the search range can be expanded by synchronizing the data in the second database to the first database.

[0059] Please refer to Figures 4 to 5The application further provides a female massager, which comprises an in-vivo shell 11 inserted into a vagina, an out-of-vivo shell 12 abutting against a clitoris, a first vibration assembly 21 arranged in the in-vivo shell 11, and a second vibration assembly 22 arranged in the out-of-vivo shell 12, and an annular pressure sensor 42 arranged on an outer wall surface of the in-vivo shell 11, the annular pressure sensor 42, the first vibration assembly 21 and the second vibration assembly 22 being electrically connected with a control module 300, and the control module 300 being communicatively connected with a mobile communication device.

[0060] The user does not need to directly touch the female massager, but can remotely control the vibration module 200 to start and stop through a mobile communication device such as a mobile phone, a tablet computer or a computer. This design not only completely gets rid of the operation limitation of physical keys, but also enables the user to easily operate the female massager in various scenes such as home relaxation and portable use, and avoids the risk of privacy exposure caused by direct contact with the product, thereby greatly improving the privacy and comfort during use.

[0061] The user can customize the vibration frequency, intensity change rhythm and the like according to the user's own needs through the matching software on the mobile communication device. Meanwhile, more intelligent functions such as timed massage and scene-based mode recommendation can be added to the product through software updates in the future. This not only meets the individual needs of different users in different use stages, but also prolongs the life cycle of the product. In addition to remote control, more intelligent functions such as recording use data and generating individual use reports can be realized based on the mobile communication device to meet the user's habits of using intelligent products. In summary, by using the wireless control assembly connected with the mobile communication device to replace the traditional physical keys or small-size remote controller, the problem that the user cannot confirm whether the operation is effective during use is solved, the privacy protection is improved, and the embarrassment and inconvenience in specific scenes are avoided. Without relying on the small-size remote controller with a non-replaceable battery, the use convenience and service life of the product are improved.

[0062] The above description is only an exemplary embodiment of the application, and does not limit the protection scope of the application. Any equivalent structural transformation, direct / indirect application in other related technical fields based on the technical concept of the application and the content of the specification and drawings are included in the protection scope of the application.

Claims

1. A vibration adjustment method for a female massager, characterized in that, The method for connecting a female massager to a mobile communication device includes: Step S1, in vibration mode, the ring pressure sensor on the female massager can detect changes in vaginal pressure data and transmit the vaginal pressure data to the AI ​​software on the mobile communication device; Step S2: The AI ​​software determines the time and duration of the user's orgasm based on the vaginal pressure data, and generates a record table. The record table also records the vibration frequency and duration of the female massager when the user reaches the orgasm. Step S3: The AI ​​software analyzes the values ​​of the vibration frequency and vibration time that make the user feel comfortable based on the record table, generates the first improved vibration data set, and stores the first improved vibration data set in the first database. Step S4: Push the improved vibration data set to the user via a mobile communication device and collect user feedback information. Step S5: The AI ​​software analyzes the user feedback information, generates a second improved vibration data set, and stores the second improved vibration data set in the first database.

2. The method as described in claim 1, characterized in that, The female massager has a scene library, which has at least one massage scene model. Each massage scene model corresponds to at least one vibration data group in the first database. The method further includes: step S6, when the massage scene model corresponds to at least three vibration data groups, after the female massager is turned on, the AI ​​software gathers at least three vibration data groups into an analysis group, performs fitting analysis on the vibration data groups in the analysis group, generates a new vibration data group, and stores the new vibration data group in the first database. Step S7: Push the newly generated vibration data set to the user.

3. The method as described in claim 2, characterized in that, After the female massager is activated, the method further includes: step S8, where the user inputs at least one of vibration requirements, environmental information, and user mood through a mobile communication device, and the AI ​​software analyzes the vibration requirements, environmental information, and user mood to extract positive prompt words and obtain the massage scene model based on the positive prompt words. Step S9: The AI ​​software searches the first database for a vibration data group integration group associated with the massage scene model based on the positive prompt words. The vibration data group integration group includes at least one of the vibration data groups. In step S10, within the vibration data group integration group, the AI ​​software performs secondary matching on the vibration data groups in the vibration data group integration group based on the positive prompt words, and aggregates the matched vibration data groups into the analysis group described in step S6.

4. The method as described in claim 3, characterized in that, In step S8, the AI ​​software queries the scene library for the massage scene model based on the positive prompt word; when there is no matching massage scene model in the scene library, the AI ​​software creates a new massage scene model based on the positive prompt word and stores the newly created massage scene model in the scene library.

5. The method as described in claim 4, characterized in that, The massage scene model includes a scene number, a scene description, and scene keywords. The AI ​​software queries the massage scene model in the scene library based on the scene keywords. The scene number is associated with at least one set of vibration data in the first database. The scene keywords are extracted from the scene description by the AI ​​software.

6. The method as described in claim 4, characterized in that, When a new massage scene model is established, the vibration data group is searched in the first database according to the positive prompt words, and the scene number of the newly established massage scene model is associated with the found vibration pattern.

7. The method as described in claim 1, characterized in that, The AI ​​software generates a vibration curve based on the recommended vibration data set and displays the vibration curve to the user via a mobile communication device. The X-axis of the vibration curve is the time axis, and the Y-axis is the vibration frequency axis.

8. The method as described in claim 1, characterized in that, The female massager includes an inner shell that is inserted into the vagina and an outer shell that abuts against the clitoris. The vibration data set includes the vibration frequency and vibration time of the inner shell, as well as the vibration frequency and vibration time of the outer shell.

9. A vibration adjustment method for a female massager, characterized in that, The method for connecting a female massager to a mobile communication device includes: The user customizes a new vibration data group on the mobile communication device and stores the new vibration data group in a second database on the mobile communication device. The user can then select any stored vibration data group in the second database, and the vibration data group stored in the second database can be deleted by the user.

10. A female massager, characterized in that, The female massager includes an inner shell that is inserted into the vagina and an outer shell that abuts against the clitoris. The inner shell is provided with a first vibration component and the outer shell is provided with a second vibration component. The outer wall of the inner shell is provided with an annular pressure sensor. The annular pressure sensor, the first vibration component, and the second vibration component are electrically connected to a control module, and the control module is communicatively connected to a mobile communication device.

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