Intelligent sanitary towel and system based on 4G / 5G Internet of Things

Abstract

The invention relates to the field of communication technologies and health care materials, and discloses an intelligent sanitary towel and system based on the 4G / 5G Internet of Things. The graphene sensor module is arranged in the sanitary towel main body and is used for detecting the discharge condition of menstrual blood; the temperature acquisition module and the heart rate acquisition module are respectively used for detecting the body temperature and the heart rate of the user; and the data acquisition module is connected with the graphene sensor module, the temperature acquisition module and the heart rate acquisition module and is used for receiving and sorting detection data of the sensor module. Through cooperative work of the graphene sensor module, the temperature acquisition module and the heart rate acquisition module, key health data (including menstrual blood flow, body temperature and heart rate) in the female physiological cycle can be acquired in real time, and the data are quickly transmitted to the Internet of Things platform and the AI algorithm platform through arrangement of the data acquisition module and efficient transmission of the 4G / 5G communication module.

Description

Technical Field

[0001] The present invention relates to the fields of communication technology and sanitary care products, and specifically to a smart sanitary napkin and system based on 4G / 5G Internet of Things. Background Art

[0002] At present, women have limited means of monitoring their health during their menstrual period. Traditional methods mainly rely on subjective feelings and experience, or go to the hospital for check-ups from time to time. However, subjective feelings are often inaccurate, and hospital check-ups not only take up time and energy, but may also bring many inconveniences to women, especially adolescent girls, who are generally panicked and at a loss about the onset of menstruation. Parents are unable to understand the situation in time and cannot help and guide their children to deal with it in time. Therefore, there is an increasing demand for women to understand their own physical condition during their menstrual period and for parents to understand the physical condition of their adolescent children during their menstrual period. There is an urgent need for a convenient tool that can monitor physiological health data in real time and accurately.

[0003] There are some sanitary napkins with Bluetooth communication function for reminders on the market. When a woman has her period, the sensor of the sanitary napkin transmits the reminder to the mobile phone through the Bluetooth gateway. However, there is a distance limitation for Bluetooth signal transmission. If the straight-line distance exceeds 10 meters, the information cannot be transmitted stably. If there is an object blocking the diaper and the mobile phone, the signal will be interrupted and the reminder cannot be effective and timely.

[0004] In addition, there is a product on the market that embeds multiple metal sensors in sanitary napkins. Although it can achieve recognition effect, the production cost and sales price are generally very high, resulting in low cost performance of the product and low consumer acceptance. At the same time, there are distance limitations on signal transmission and poor signal stability. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a smart sanitary napkin and system based on 4G / 5G Internet of Things, which solves the problems of distance limitation and signal stability of signal transmission.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart sanitary napkin and system based on 4G / 5G Internet of Things, comprising:

[0007] The main body of the sanitary napkin;

[0008] A graphene sensor module is disposed in the sanitary napkin body, wherein the graphene sensor module is a graphene detection strip, and is used to detect the discharge of menstrual blood;

[0009] The temperature acquisition module and the heart rate acquisition module are used to detect the user's body temperature and heart rate respectively;

[0010] A data acquisition module, connected to the graphene sensor module, the temperature acquisition module and the heart rate acquisition module, for receiving and collating the detection data of the sensor module;

[0011] 4G / 5G communication module, connected to the data acquisition module, is used to transmit the sorted data to the IoT platform;

[0012] IoT platform, connected to 4G / 5G communication modules for high-concurrency device management, data management, remote control, security and privacy protection, and application development and integration;

[0013] The AI ​​algorithm platform is connected to the IoT platform for analyzing the user's menstrual blood flow, body temperature and heart rate status based on the received data and generating a health status judgment result;

[0014] The server platform is used to store and manage the analysis results of the AI ​​algorithm platform and transmit the analysis results to the user-end device.

[0015] Preferably, the graphene sensor module identifies the menstrual blood discharge time and flow rate by detecting changes in capacitance values. The changes in capacitance values ​​are caused by conductive substances in the menstrual blood and can distinguish the effects of different types of liquids (including sweat and menstrual blood) on the capacitance signal. The sensor module is also equipped with an automatic calibration function to adapt to the effects of different ambient temperature and humidity changes on signal detection.

[0016] Preferably, the temperature acquisition module includes a high-precision temperature sensor installed near the user's abdomen to obtain more accurate body temperature data. The temperature sensor adopts flexible packaging technology and fits tightly to the user's skin. It also has an anti-interference design and can filter out errors caused by temperature fluctuations in the external environment.

[0017] Preferably, the heart rate acquisition module is used to monitor the user's heart rate changes in real time and transmit the information to the Internet of Things platform through the data acquisition module. The heart rate acquisition module adopts photoplethysmography (PPG) technology to achieve high-sensitivity detection of heart rate, can maintain high accuracy in both motion and resting states, and has an automatic data correction function to reduce data errors caused by motion artifacts.

[0018] Preferably, the data acquisition module has data storage and management functions, including the functions of encrypting, organizing and storing detection data. The module supports a multi-layer data encryption mechanism to ensure the security of data during storage and transmission. It also has data compression and recovery functions to improve the efficiency of data storage, and has the option of setting a user-defined data retention period.

[0019] Preferably, the 4G / 5G communication module adopts an encrypted communication protocol to ensure the security and privacy protection of data during transmission. The communication module supports multi-band transmission technology, adapts to the network environment in different regions, automatically selects the optimal signal channel, and has a built-in anti-interference algorithm, which can maintain a stable data transmission rate in a high interference environment.

[0020] Preferably, the IoT platform transmits data with the AI ​​algorithm platform through the MQTT protocol to achieve real-time updating and synchronization of data. The IoT platform has an automatic load balancing function to adapt to the concurrent processing requirements under high data traffic, and can monitor and optimize the delays in the data transmission process in real time to ensure the timeliness and accuracy of the data.

[0021] Preferably, the AI ​​algorithm platform includes an analysis algorithm based on machine learning and deep learning, which is used to predict the user's menstrual period and issue warnings for abnormal situations. The AI ​​algorithm can dynamically adjust the parameters of the prediction model according to historical data and real-time data to improve the accuracy of menstrual cycle prediction. In addition, an anomaly detection algorithm is also integrated, which can automatically trigger a health warning mechanism when abnormal fluctuations occur in menstrual blood flow, body temperature and heart rate.

[0022] Specifically, according to relevant physiological knowledge, the menstrual blood flow of women in each menstrual period is usually between 20-60 ml. If the menstrual blood flow is much less than 20 ml, the menstrual blood flow is too little, and if the menstrual blood flow is much more than 60 ml, the menstrual blood flow is too much. For the same female user, if the menstrual blood flow in the last menstrual cycle was 50 ml and the menstrual blood flow in this menstrual cycle is 70 ml, it means that there is something wrong with the female's physiological condition.

[0023] Preferably, the server platform can push the judgment results generated by the AI ​​algorithm platform to the user's mobile device, including mobile application APP and mini-programs. The server platform has distributed data processing capabilities, supports real-time analysis of big data and multi-user data management, and has the function of backtracking historical data to help users track health trends and cyclical patterns.

[0024] Preferably, the application of the user-end device has a personalized setting function, allowing the user to customize health reminders and warning thresholds according to their own needs, including but not limited to personalized threshold settings for abnormal menstrual blood flow, abnormal menstrual cycle, abnormal body temperature fluctuations and abnormal heart rate. The application supports multiple data display modes, including charts, line graphs and calendar views, and provides a health advice generation function. Users can also export data to other health management platforms, achieve seamless integration with third-party applications, and further optimize the health management experience.

[0025] The present invention provides a smart sanitary napkin and system based on 4G / 5G Internet of Things. It has the following beneficial effects:

[0026] 1. The present invention can collect key health data (including menstrual blood flow, body temperature and heart rate) in women's physiological cycle in real time through the collaborative work of graphene sensor module, temperature acquisition module and heart rate acquisition module. These data are quickly transmitted to the Internet of Things platform and AI algorithm platform through the sorting of data acquisition module and efficient transmission of 4G / 5G communication module. The AI ​​algorithm platform uses machine learning and deep learning technology to integrate and analyze historical data and real-time data, thereby realizing intelligent recognition and prediction of multi-dimensional physiological states such as menstrual cycle, menstrual blood flow, body temperature fluctuations and abnormal heart rate.

[0027] 2. The present invention realizes an integrated solution from data collection, transmission, storage to intelligent analysis through the deep integration of the Internet of Things platform and the AI ​​algorithm platform. The Internet of Things platform communicates data with the AI ​​algorithm platform through the MQTT protocol, and has automatic load balancing and real-time monitoring functions, and can maintain efficient data processing capabilities in a high data traffic environment. The 4G / 5G communication module supports multi-band transmission and anti-interference algorithm design, so that the system can maintain a stable data transmission rate and low latency in a complex environment.

[0028] 3. The user-side application of the present invention provides highly personalized health reminder and warning functions, allowing users to customize warning thresholds according to their own health needs, including multiple physiological indicators such as menstrual blood flow, body temperature changes and abnormal heart rate. The system supports multiple data display modes and can generate personalized health suggestions for users through intelligent algorithms, thereby helping users to manage their own health status more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is the principle diagram of the present invention;

[0030] Figure 2 It is a schematic diagram of the structure of the sanitary napkin body of the present invention.

[0031] Among them, 1. sanitary napkin body; 2. graphene test strip. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1:

[0034] Please see attached Figure 1 - Attachment Figure 2 , the embodiment of the present invention provides a smart sanitary napkin and system based on 4G / 5G Internet of Things, including:

[0035] The main body of the sanitary napkin;

[0036] A graphene sensor module is disposed in the sanitary napkin body, wherein the graphene sensor module is a graphene detection strip, and is used to detect the discharge of menstrual blood;

[0037] The temperature acquisition module and the heart rate acquisition module are used to detect the user's body temperature and heart rate respectively;

[0038] A data acquisition module, connected to the graphene sensor module, the temperature acquisition module and the heart rate acquisition module, for receiving and collating the detection data of the sensor module;

[0039] 4G / 5G communication module, connected to the data acquisition module, is used to transmit the sorted data to the IoT platform;

[0040] IoT platform, connected to 4G / 5G communication modules for high-concurrency device management, data management, remote control, security and privacy protection, and application development and integration;

[0041] The AI ​​algorithm platform is connected to the IoT platform for analyzing the user's menstrual blood flow, body temperature and heart rate status based on the received data and generating a health status judgment result;

[0042] The server platform is used to store and manage the analysis results of the AI ​​algorithm platform and transmit the analysis results to the user-end device.

[0043] Specifically, the system includes a sanitary napkin body with a graphene sensor module embedded inside, which is used to detect the discharge of menstrual blood in real time and collect menstrual blood flow data. In addition, the system also includes a temperature acquisition module and a heart rate acquisition module, which are used to detect the user's body temperature and heart rate changes respectively, so as to obtain more comprehensive physiological data. The data acquisition module is connected to the above sensor module and is responsible for receiving and sorting the data from each sensor and converting it into structured physiological information. The sorted data is transmitted to the Internet of Things platform through the 4G / 5G communication module to ensure the real-time and stability of the data in different scenarios. After receiving the data, the Internet of Things platform is responsible for the storage and preliminary processing of the data, and transmits it to the AI ​​algorithm platform. Through analysis and calculation, the AI ​​algorithm platform can identify the user's multi-dimensional physiological indicators such as menstrual blood flow, body temperature, heart rate status, etc., and generate judgment results on the user's health status based on these analyses. Finally, the server platform stores and manages the analysis results generated by the AI ​​algorithm platform, and pushes this information to the user-end device through the cloud, allowing users to monitor their health status anytime and anywhere, receive intelligent reminders and warnings of their physiological cycles, and achieve comprehensive control and accurate prediction of menstrual cycles, body temperature fluctuations, abnormal heart rates, etc. The system closely combines a variety of advanced sensor technologies, IoT communication technologies and AI data analysis algorithms to provide women with an integrated intelligent physiological health management solution.

[0044] The graphene sensor module identifies the menstrual blood discharge time and flow by detecting changes in capacitance values. The changes in capacitance values ​​are caused by the conductive substances in the menstrual blood and can distinguish the effects of different types of liquids (including sweat and menstrual blood) on the capacitance signal. The sensor module is also equipped with an automatic calibration function to adapt to the effects of different ambient temperature and humidity changes on signal detection.

[0045] Specifically, the graphene sensor module identifies the discharge time and flow of menstrual blood by detecting changes in its capacitance value in real time. When the conductive substances in the menstrual blood come into contact with the sensor, it will cause a significant change in the capacitance value, thereby achieving accurate measurement of the menstrual blood flow. The sensor module has liquid recognition capabilities and can distinguish the different effects of different types of liquids (including sweat and menstrual blood) on the capacitance signal to improve the accuracy of detection. In addition, in order to maintain high-precision signal detection under different environmental conditions, the graphene sensor module is also equipped with an automatic calibration function, which can dynamically adjust the detection sensitivity according to changes in ambient temperature and humidity to ensure signal stability and data reliability in various complex environments.

[0046] The temperature acquisition module includes a high-precision temperature sensor installed near the user's abdomen to obtain more accurate body temperature data. The temperature sensor adopts flexible packaging technology and fits tightly to the user's skin. It also has an anti-interference design and can filter out errors caused by temperature fluctuations in the external environment.

[0047] Specifically, the temperature acquisition module contains a high-precision temperature sensor, which is designed to be installed in a specific position inside the sanitary napkin body near the user's abdomen to ensure that body temperature data can be accurately captured during the detection process, thereby improving the accuracy of monitoring. The temperature sensor uses advanced flexible packaging technology, which enables it to fit the user's skin curve closely, not only improving the comfort of wearing, but also ensuring the continuous contact stability of data collection. The sensor module also has a highly optimized anti-interference design, which can actively detect and filter out interference signals caused by changes in external environmental temperature, thereby minimizing data errors caused by environmental factors, ensuring that the user's actual body temperature changes can be accurately reflected under various conditions of use, and providing reliable basic information support for subsequent health data analysis.

[0048] The heart rate acquisition module is used to monitor the user's heart rate changes in real time and transmit it to the Internet of Things platform through the data acquisition module. The heart rate acquisition module adopts photoelectric volume pulse wave (PPG) technology to achieve high-sensitivity detection of heart rate, can maintain high accuracy in motion and resting states, and has an automatic data correction function to reduce data errors caused by motion artifacts.

[0049] Specifically, the heart rate acquisition module is designed based on photoplethysmography (PPG) technology and is used to monitor the user's heart rate changes in real time. It achieves high-sensitivity detection of heart rate by measuring the changes in light signals caused by blood flow. The module can maintain high detection accuracy when the user is performing daily activities, exercising, and resting, ensuring that heart rate fluctuations can be accurately captured under different physiological conditions. In order to improve the accuracy of the data, the heart rate acquisition module also integrates an automatic data correction function, which can intelligently identify and correct data errors caused by motion artifacts or external interference, and filter out unnecessary noise signals through algorithm optimization. The collected heart rate data will be transmitted to the Internet of Things platform through the data acquisition module in real time, ensuring the real-time and integrity of the data during transmission, and providing an accurate information basis for further analysis and judgment of health status.

[0050] The data acquisition module has data storage and management functions, including the functions of encrypting, organizing and storing detection data. The module supports a multi-layer data encryption mechanism to ensure the security of data during storage and transmission. It also has data compression and recovery functions to improve the efficiency of data storage, and has a setting option for users to customize the data retention period.

[0051] The 4G / 5G communication module adopts an encrypted communication protocol to ensure the security and privacy of data during transmission. The communication module supports multi-band transmission technology, adapts to the network environment in different regions, automatically selects the optimal signal channel, and has a built-in anti-interference algorithm, which can maintain a stable data transmission rate in a high-interference environment.

[0052] Specifically, the 4G / 5G communication module design adopts advanced encrypted communication protocols, and performs multi-level encryption processing on sensitive information during data transmission to ensure the security and privacy of user data and prevent unauthorized interception or tampering in the transmission link. The communication module has multi-band transmission capabilities, and can intelligently identify and automatically switch to the optimal signal channel according to the network environment in the area to achieve seamless connection and communication stability worldwide. The module has a built-in efficient anti-interference algorithm that can dynamically analyze and respond to possible wireless signal interference in the external environment. It can maintain a high data transmission rate and stability even in a high-interference network environment, thereby ensuring that physiological health data can be accurately and timely transmitted to the Internet of Things platform, providing a solid foundation for the system's real-time data processing and analysis.

[0053] The IoT platform transmits data with the AI ​​algorithm platform through the MQTT protocol to achieve real-time update and synchronization of data. The IoT platform has an automatic load balancing function to adapt to the concurrent processing requirements under high data traffic. At the same time, it can monitor and optimize the delay in the data transmission process in real time to ensure the timeliness and accuracy of the data.

[0054] The AI ​​algorithm platform includes an analysis algorithm based on machine learning and deep learning, which is used to predict the user's menstrual period and issue an early warning for abnormal situations. The AI ​​algorithm can dynamically adjust the parameters of the prediction model based on historical data and real-time data to improve the accuracy of menstrual cycle prediction. In addition, it also integrates an anomaly detection algorithm that can automatically trigger a health warning mechanism when abnormal fluctuations occur in menstrual blood flow, body temperature and heart rate.

[0055] The server platform can push the judgment results generated by the AI ​​algorithm platform to the user's mobile device, including mobile application APPs and mini-programs. The server platform has distributed data processing capabilities, supports real-time analysis of big data and multi-user data management, and has the function of backtracking historical data to help users track health trends and cyclical patterns.

[0056] Specifically, the IoT platform uses the MQTT protocol to transmit data with the AI ​​algorithm platform to achieve efficient real-time updating and synchronization of data, ensuring that every change in physiological data can be quickly transmitted to the analysis module. The platform has an automatic load balancing function, which can automatically allocate computing resources according to the dynamic changes in network traffic, ensuring that the system can still run efficiently under high data traffic and multi-user concurrent requests. The IoT platform also has a built-in real-time monitoring and optimization mechanism for data transmission delays. By intelligently adjusting network transmission parameters, it minimizes possible delays in the data transmission process and ensures the timeliness and accuracy of data transmission.

[0057] The AI ​​algorithm platform is based on advanced machine learning and deep learning algorithms, focusing on analyzing and predicting the user's menstrual cycle and health status. By integrating historical data and real-time monitoring data, the AI ​​algorithm can dynamically adjust model parameters to continuously improve the accuracy of predicting the time of menstruation. At the same time, the AI ​​algorithm platform also integrates anomaly detection functions, which can immediately trigger an early warning mechanism when abnormal fluctuations occur in menstrual blood flow, body temperature and heart rate, and feedback abnormal conditions to the user-end device, so that users can take corresponding health management measures in a timely manner.

[0058] The server platform has powerful distributed data processing capabilities, can support real-time analysis of massive data and multi-user data management, and optimize resource allocation through intelligent algorithms to improve the overall operating efficiency of the system. The server platform is designed with a historical data backtracking function, allowing users to track and analyze changing trends and cyclical patterns in their health status on mobile devices (including mobile applications APP and mini-programs). Through the visualization of data, users can not only view the health status analysis results in real time, but also obtain targeted health advice and tips to help users better manage their health and predict cycles in daily life.

[0059] The application of the user-end device has a personalized setting function, allowing users to customize health reminders and warning thresholds according to their own needs, including but not limited to personalized threshold settings for abnormal menstrual blood flow, abnormal menstrual cycle, abnormal body temperature fluctuations and abnormal heart rate. The application supports multiple data display modes, including charts, line graphs and calendar views, and provides a health advice generation function. Users can also export data to other health management platforms, achieve seamless integration with third-party applications, and further optimize the health management experience.

[0060] Specifically, the application design of the user-end device has a highly personalized setting function, allowing users to flexibly adjust health reminders and warning thresholds according to their personal health needs and physiological conditions. Users can independently set thresholds for multiple health indicators such as abnormal menstrual blood flow, abnormal menstrual cycle, abnormal body temperature fluctuations and abnormal heart rate, so as to receive timely and accurate reminder notifications when abnormalities occur. The application provides a variety of data display modes, including intuitive charts, line charts and calendar views, so that users can easily understand the trends and cycles of their health status changes. To further enhance the user experience, the application also has the function of generating intelligent health suggestions, which provides personalized health management suggestions by analyzing the collected data and AI algorithm results. Users can export this data to other health management platforms with one click, and achieve seamless connection with third-party applications, so that they can perform continuous and comprehensive health management in different health monitoring environments, thereby further optimizing and enhancing the overall health management experience.

[0061] Embodiment 2:

[0062] 1. System overall structure description

[0063] The present invention relates to an intelligent sanitary napkin and system based on 4G / 5G Internet of Things technology, including a sanitary napkin body, a graphene sensor module, a temperature acquisition module, a heart rate acquisition module, a data acquisition module, a 4G / 5G communication module, an Internet of Things platform, an AI algorithm platform and a server platform. Each module is organically integrated to achieve real-time monitoring, analysis and early warning of female physiological data.

[0064] 2. Sanitary napkin body and graphene sensor module

[0065] The sanitary napkin body 1 is the core component of the system, and a graphene sensor module is arranged inside. The graphene sensor module is a highly sensitive sensor based on graphene material, which has excellent conductivity and flexibility, and can detect the discharge of menstrual blood without affecting the normal use of the sanitary napkin.

[0066] The graphene sensor module identifies the time and flow of menstrual blood discharge through changes in its capacitance value. When menstrual blood discharge contacts the graphene surface, the presence of conductive substances in the menstrual blood causes a significant change in capacitance value. By monitoring this capacitance change, the flow and discharge cycle of menstrual blood can be accurately determined. At the same time, the graphene sensor module is equipped with an automatic calibration function, which can automatically adjust its sensitivity according to changes in ambient temperature and humidity to ensure signal detection stability under different environmental conditions.

[0067] 3. Temperature acquisition module and heart rate acquisition module

[0068] The temperature acquisition module uses a high-precision temperature sensor encapsulated in a flexible material and installed on the main body of the sanitary napkin near the user's abdomen. The module can provide accurate physiological cycle temperature data by monitoring the changes in female body temperature in real time. The temperature acquisition module has an anti-interference design that can effectively filter out the interference of the external environment temperature on the data and ensure the accuracy of the measurement data.

[0069] The heart rate acquisition module uses photoplethysmography (PPG) technology to monitor the heart rate changes of women during their physiological period in real time. The module can maintain high-precision detection in the user's exercise and resting state, and reduce data errors caused by motion artifacts through an automatic correction mechanism, providing stable and reliable heart rate data.

[0070] 4. Data acquisition module

[0071] The data acquisition module is connected to the graphene sensor module, temperature acquisition module and heart rate acquisition module, and is responsible for receiving and integrating the detection data of each sensor. The module classifies and organizes the received raw data, including the storage and processing of data such as menstrual blood discharge time, flow, body temperature changes and heart rate changes. The data acquisition module uses a multi-layer encryption mechanism to protect the data to prevent the leakage of sensitive information during storage and transmission.

[0072] In order to improve the efficiency of data storage, the data acquisition module supports data compression and recovery technology, and allows users to customize the data retention period to facilitate long-term health data management and analysis.

[0073] 5.4G / 5G communication module

[0074] The 4G / 5G communication module is the core data transmission component of the system, through which the sorted data is transmitted from the data acquisition module to the IoT platform. The module supports multi-band transmission technology, can adapt to the network environment in different regions of the world, and automatically selects the optimal signal channel to ensure the continuity and stability of data transmission.

[0075] When the system detects abnormalities in menstrual blood flow, body temperature, or heart rate data, it uses a logistic regression model to calculate the probability of the abnormality occurring. The logistic regression formula includes the following:

[0076]

[0077] When the system detects abnormalities in menstrual blood flow, body temperature or heart rate data, it uses a logistic regression model to calculate the probability of abnormality. The logistic regression formula includes the following: Where: P(y=1|X) is the probability of an event occurring, that is, the probability that a certain physiological state is judged to be abnormal, x 1 ,x 2 ,...,x nis the input feature (including menstrual blood flow, body temperature, heart rate, etc.), β 0 is the bias term, ·β 1 ,β 2 ,...,β n is the regression coefficient. When the probability P(y=1|X) exceeds the set threshold (for example, 0.7), the system will trigger a health warning and send a prompt to the user.

[0078] The communication module has a built-in anti-interference algorithm that can maintain a high data transmission rate even in a high-interference environment, and uses an encrypted communication protocol to protect the security and privacy of data during transmission.

[0079] 6. IoT Platform

[0080] The IoT platform transmits data with the AI ​​algorithm platform and server platform through the MQTT protocol, and has an automatic load balancing function to adapt to the concurrent processing requirements of multi-user data during high data traffic. The IoT platform not only supports real-time data update and synchronization, but also monitors and optimizes data transmission delays to ensure smooth data transmission in the system.

[0081] In order to better identify and predict the regularity of the menstrual cycle, the system uses Fourier transform to convert time series data into frequency domain data. The formula includes the following:

[0082]

[0083] X(f) is a frequency domain signal, x(t) is a time domain signal (for example, a time series of menstrual blood flow), and f is a frequency variable. Through Fourier analysis, the main frequency components of the periodic signal can be identified for accurate prediction of the menstrual cycle.

[0084] The architectural design of the Internet of Things platform is highly scalable and flexible, supporting data integration and interoperability with third-party health management platforms, providing users with diversified health management services.

[0085] 7. AI algorithm platform

[0086] The AI ​​algorithm platform is the intelligent analysis engine of this system, which uses machine learning and deep learning algorithms to comprehensively analyze the collected menstrual blood flow, body temperature and heart rate data. The AI ​​algorithm can train models based on the user's historical data and real-time data to continuously improve the accuracy of menstrual cycle prediction.

[0087] In addition, the AI ​​algorithm platform also integrates an anomaly detection algorithm, which continuously monitors the data and identifies abnormal changes in real time, including excessive menstrual blood flow, a sharp rise in body temperature, or abnormal heart rate fluctuations. Once an abnormal situation is detected, the AI ​​algorithm platform will immediately trigger an early warning mechanism and pass the relevant information to the user-end device so that the user can take necessary countermeasures in time.

[0088] 8. Server platform and client equipment

[0089] The server platform is responsible for storing and managing the health status analysis results generated by the AI ​​algorithm platform, and pushing the information to users through mobile applications (APPs) or mini-programs. The server platform adopts a distributed data processing architecture to support real-time analysis of big data and multi-user data management.

[0090] The application on the user-end device has a variety of data display modes, including line graphs, charts and calendar views, so that users can view health data for different time periods according to their needs. In addition, the application supports personalized settings, allowing users to customize health reminders and warning thresholds according to their own physiological characteristics and needs.

[0091] 9. System workflow

[0092] When users use smart sanitary napkins, the graphene sensor module, temperature acquisition module and heart rate acquisition module will monitor the relevant data in real time and organize and summarize them through the data acquisition module. The organized data will be uploaded to the Internet of Things platform through the 4G / 5G communication module. The Internet of Things platform will send the data to the AI ​​algorithm platform for intelligent analysis.

[0093] After the AI ​​algorithm platform completes the processing, the analysis results will be passed to the server platform. The server platform will send health reminder information to the user-end device based on the analysis results. Users can view detailed physiological data through mobile APP or mini-programs, and receive timely warning prompts when abnormal situations occur.

[0094] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart sanitary napkin and system based on 4G / 5G Internet of Things, characterized by: include: Sanitary napkin body (1); A graphene sensor module arranged in the sanitary napkin body (1), wherein the graphene sensor module is a graphene detection strip (2) and is used to detect the discharge of menstrual blood; The temperature acquisition module and the heart rate acquisition module are used to detect the user's body temperature and heart rate respectively; A data acquisition module, connected to the graphene sensor module, the temperature acquisition module and the heart rate acquisition module, for receiving and collating the detection data of the sensor module; 4G / 5G communication module, connected to the data acquisition module, is used to transmit the sorted data to the IoT platform; IoT platform, connected to 4G / 5G communication modules for high-concurrency device management, data management, remote control, security and privacy protection, and application development and integration; The AI ​​algorithm platform is connected to the IoT platform for analyzing the user's menstrual blood flow, body temperature and heart rate status based on the received data and generating a health status judgment result; The server platform is used to store and manage the analysis results of the AI ​​algorithm platform and transmit the analysis results to the user-end device.

2. According to claim 1, a smart sanitary napkin and system based on 4G / 5G Internet of Things, characterized in that: The graphene sensor module identifies the menstrual blood discharge time and flow by detecting changes in capacitance values. The changes in capacitance values ​​are caused by the conductive substances in the menstrual blood and can distinguish the effects of different types of liquids (including sweat and menstrual blood) on the capacitance signal. The sensor module is also equipped with an automatic calibration function to adapt to the effects of different ambient temperature and humidity changes on signal detection.

3. According to claim 1, a smart sanitary napkin and system based on 4G / 5G Internet of Things, characterized in that: The temperature acquisition module includes a high-precision temperature sensor installed near the user's abdomen to obtain more accurate body temperature data. The temperature sensor adopts flexible packaging technology and fits tightly to the user's skin. It also has an anti-interference design and can filter out errors caused by temperature fluctuations in the external environment.

4. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The heart rate acquisition module is used to monitor the user's heart rate changes in real time and transmit it to the Internet of Things platform through the data acquisition module. The heart rate acquisition module adopts photoelectric volume pulse wave (PPG) technology to achieve high-sensitivity detection of heart rate, can maintain high accuracy in motion and resting states, and has an automatic data correction function to reduce data errors caused by motion artifacts.

5. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The data acquisition module has data storage and management functions, including the functions of encrypting, organizing and storing detection data. The module supports a multi-layer data encryption mechanism to ensure the security of data during storage and transmission. It also has data compression and recovery functions to improve the efficiency of data storage, and has a setting option for users to customize the data retention period.

6. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The 4G / 5G communication module adopts an encrypted communication protocol to ensure the security and privacy of data during transmission. The communication module supports multi-band transmission technology, adapts to the network environment in different regions, automatically selects the optimal signal channel, and has a built-in anti-interference algorithm, which can maintain a stable data transmission rate in a high-interference environment.

7. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The IoT platform transmits data with the AI ​​algorithm platform through the MQTT protocol to achieve real-time update and synchronization of data. The IoT platform has an automatic load balancing function to adapt to the concurrent processing requirements under high data traffic. At the same time, it can monitor and optimize the delay in the data transmission process in real time to ensure the timeliness and accuracy of the data.

8. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The AI ​​algorithm platform includes an analysis algorithm based on machine learning and deep learning, which is used to predict the user's menstrual period and issue an early warning for abnormal situations. The AI ​​algorithm can dynamically adjust the parameters of the prediction model based on historical data and real-time data to improve the accuracy of menstrual cycle prediction. In addition, it also integrates an anomaly detection algorithm that can automatically trigger a health warning mechanism when abnormal fluctuations occur in menstrual blood flow, body temperature and heart rate.

9. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The server platform can push the judgment results generated by the AI ​​algorithm platform to the user's mobile device, including mobile application APPs and mini-programs. The server platform has distributed data processing capabilities, supports real-time analysis of big data and multi-user data management, and has the function of backtracking historical data to help users track health trends and cyclical patterns.

10. The smart sanitary napkin and system based on 4G / 5G Internet of Things according to claim 1, characterized in that: The application of the user-end device has a personalized setting function, allowing users to customize health reminders and warning thresholds according to their own needs, including but not limited to personalized threshold settings for abnormal menstrual blood flow, abnormal menstrual cycle, abnormal body temperature fluctuations and abnormal heart rate. The application supports multiple data display modes, including charts, line graphs and calendar views, and provides a health advice generation function. Users can also export data to other health management platforms, achieve seamless integration with third-party applications, and further optimize the health management experience.

Images