Auxiliary system based on intelligent wearing equipment used in daily life

Abstract

The invention relates to the technical field of intelligent assistance, and discloses an auxiliary system based on an intelligent wearable device used in daily life, and the system comprises a health signal monitoring and analysis module which is used for monitoring the heart rate, blood oxygen, sleep and body temperature of a user, generating a health report, and according to the health data of the user; the safety and emergency calling module is used for calling for help, positioning and safety monitoring in emergency; the smart home control module is used for controlling smart home appliances through Bluetooth and Wi-Fi, adjusting indoor temperature and humidity and being linked with a safety system; and the education and learning module is used for providing online learning and knowledge acquisition functions. Real-time monitoring of key health indexes such as heart rate, blood oxygen, body temperature and sleep of a user is achieved, and early warning is given out in time when abnormal conditions are detected. Besides, the system provides multi-level safety guarantee for the user through the functions of emergency call, position sharing, home monitoring and the like, and is suitable for daily health management of the old and chronic disease patients.

Description

Technical Field

[0001] The present invention relates to the field of intelligent assistance technology, and in particular to an assistance system based on an intelligent wearable device used in daily life. Background Art

[0002] With the continuous advancement of technology, smart wearable devices have gradually become an indispensable part of people's daily lives. Such devices usually have a compact design and are worn on the wrist, fingers, ears, etc. They collect users' physiological data such as heart rate, blood oxygen saturation, body temperature, and exercise status through built-in sensors. These devices are usually connected to smartphones or tablets, and provide data analysis and personalized suggestions through applications to help users better manage their health.

[0003] Existing smart wearable devices mainly focus on the development of functions in a certain field, such as health monitoring or sports records, but lack full coverage of user life scenarios. While providing health data analysis, these devices often ignore the needs of users in terms of family safety, education and learning, and community interaction. Especially for the elderly, the existing devices do not provide sufficient functional support in terms of emergency handling, home safety, and medication reminders, making it difficult to effectively ensure the safety and convenience of their daily lives. In addition, the current devices on the market have obvious shortcomings in the intelligent integration of shopping payments and community services. Users often need to rely on multiple different devices or applications during use, and cannot achieve a seamless smart life experience. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides an auxiliary system based on a smart wearable device used in daily life, which solves the problem that the functions of existing wearable devices are often relatively single and it is difficult to fully meet the diverse needs of users in terms of security, home and education.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an auxiliary system based on a smart wearable device used in daily life, comprising:

[0006] Health signal monitoring and analysis module, used to monitor the user's heart rate, blood oxygen, sleep and body temperature, and generate health reports based on the user's health data;

[0007] Safety and emergency assistance module, used for calling for help, positioning and safety monitoring in emergency situations;

[0008] Smart home control module, used to control smart appliances via Bluetooth and Wi-Fi, adjust indoor temperature and humidity, and link with security systems;

[0009] Education and learning module, used to provide online learning and knowledge acquisition functions;

[0010] Shopping and payment module, used to support users in making shopping decisions and payment operations;

[0011] Elder Care Module, which monitors the health and safety of the elderly;

[0012] Intelligent transportation and logistics module, used to optimize transportation routes, monitor cargo status and provide travel accommodation arrangements;

[0013] Community service module, used to promote community interaction and resource utilization.

[0014] Preferably, the health signal monitoring and analysis module includes:

[0015] Heart rate monitoring unit, used to monitor the user's heart rate in real time and warn of abnormal situations;

[0016] Blood oxygen monitoring unit, used to monitor blood oxygen saturation;

[0017] Body temperature monitoring unit, used to monitor body temperature in real time and warn of fever;

[0018] Sleep monitoring unit, used to analyze the user's sleep quality and provide improvement suggestions;

[0019] An abnormal data warning unit is used to issue a warning signal when abnormal conditions in heart rate, blood oxygen, body temperature or sleep are detected;

[0020] A health report generating unit, used for periodically generating a health report of a user;

[0021] Personalized health reminder unit, used to provide professional advice based on the user's health data.

[0022] Preferably, the safety and emergency assistance module includes:

[0023] Emergency call unit, used to call emergency contacts or call the police with one click;

[0024] A location sharing unit for sharing the user's location in real time during an emergency;

[0025] Home monitoring units, used to monitor home security through remote devices, providing video and audio surveillance;

[0026] A driving recorder unit, used to record driving data and detect collisions in the car;

[0027] Emergency notification unit, used to automatically send notifications to preset contacts in emergency situations;

[0028] Remote access units are used for users or authorized personnel to view home surveillance video and audio through remote devices.

[0029] Preferably, the smart home control module comprises:

[0030] Smart home appliance control unit, which controls smart home appliances via Bluetooth and Wi-Fi;

[0031] Security system linkage unit, linked with the smart home security system to achieve door lock control and security alarm;

[0032] Environmental control unit, including automatic control of air purifier and regulation of indoor temperature and humidity;

[0033] Device status monitoring unit, which monitors the operating status of smart home appliances and issues warnings when a fault is detected;

[0034] An automation control unit is used to automatically adjust the operating status of home appliances according to preset environmental parameters.

[0035] Preferably, the education and learning module includes:

[0036] Online learning unit, which supports interactive teaching by participating in real-time online courses through camera and microphone;

[0037] The learning reminder unit is used to remind users to study and submit homework on time according to the course schedule and learning plan;

[0038] AR learning unit, which uses AR technology to display three-dimensional models and interactive content to enhance the learning experience;

[0039] Course recording unit, used to record the user's learning progress and grades;

[0040] Content search unit, used by users to quickly find learning content or answer questions;

[0041] Interactive feedback unit for interactive communication with teachers and classmates in online classes.

[0042] Preferably, the shopping and payment module includes:

[0043] Shopping assistant unit, used to provide product information and user reviews to help users make shopping decisions;

[0044] Price comparison unit, used to compare commodity prices on various platforms in real time and provide the best purchase suggestions;

[0045] Quick payment unit, integrating mobile payment function to realize convenient online and offline payment;

[0046] Payment security unit, which uses multiple encryption and identity authentication technologies to ensure payment security;

[0047] Shopping history record unit, used to record the user's shopping history and provide personalized recommendations;

[0048] The discount information acquisition unit is used to acquire and push coupon or discount information related to the user.

[0049] Preferably, the elderly care module includes:

[0050] Health monitoring unit, used to monitor the health status of the elderly in real time and provide emergency warning and assistance when abnormalities are detected;

[0051] The medication reminder unit reminds the elderly to take medication on time according to the doctor's orders to avoid missing or taking the wrong medication;

[0052] The anti-lost unit uses GPS positioning to prevent the elderly from getting lost and provides real-time location sharing;

[0053] Fall detection unit, which detects falls by elderly people and automatically notifies family members or emergency contacts;

[0054] Regular health assessment unit, used to regularly assess the health status of the elderly and generate assessment reports;

[0055] Social reminder unit, used to remind seniors to participate in social activities and help reduce loneliness.

[0056] Preferably, the intelligent transportation and logistics module includes:

[0057] Intelligent navigation unit to provide real-time traffic information and optimize travel routes;

[0058] The Internet of Vehicles unit is used to link with the vehicle system to provide intelligent driving assistance functions;

[0059] Logistics tracking unit, used to monitor the status of goods in real time to ensure safety and efficiency in the logistics process;

[0060] The travel unit automatically selects the best means of transportation, routes and accommodation based on the user's consumption habits, tourist attractions and real-time traffic conditions;

[0061] Traffic condition prediction unit, used to predict future traffic conditions and optimize travel routes in advance.

[0062] Preferably, the community service module includes:

[0063] Community safety unit, used to monitor community safety and provide security early warning and alarm functions;

[0064] Neighborhood mutual aid units provide mutual aid services such as carpooling and second-hand transactions through community platforms;

[0065] Community activity notification unit, used to notify users to participate in community activities and enhance community interaction;

[0066] Resource sharing unit, used to share library and gym resources within the community;

[0067] Environmental protection unit, which increases credit points by sorting garbage and uploading videos, putting traditional virtues into action;

[0068] The community communication unit is used for interactive communication among community members and to enhance community cohesion.

[0069] A smart wearable device based on the above-mentioned intelligent assistance system includes a dial with an AI control system installed inside, wristbands are installed on both sides of the dial, an operation screen for providing an operation interface is installed in the middle of the dial, and a microphone for voice interaction is installed in the middle of the operation screen, a camera is arranged on the top of the dial, and the camera is used to shoot and identify objects, acceleration sensors are fixedly connected on both sides of the dial, a back plate is installed on the rear side of the dial, a heart rate and blood oxygen sensor is installed in the middle of the back plate, a temperature sensor is installed at the bottom of the back plate, and a charging port is opened at the bottom of the dial.

[0070] The present invention provides an auxiliary system based on a smart wearable device used in daily life. It has the following beneficial effects:

[0071] 1. The present invention integrates a biological signal monitoring module, a health data analysis module, and a safety and emergency assistance module to achieve real-time monitoring of key health indicators such as the user's heart rate, blood oxygen, body temperature, and sleep, and to issue a warning in a timely manner when an abnormal situation is detected. In addition, the system provides users with multi-level security protection through functions such as emergency calls, location sharing, and home monitoring, and is suitable for daily health management of the elderly and patients with chronic diseases.

[0072] 2. The smart home control module and education and learning module of the present invention can realize intelligent control of the home environment through Bluetooth and Wi-Fi technology. In addition, the education and learning module supports online course participation and augmented reality (AR) learning, and users can get personalized learning support in a comfortable home environment. This comprehensive system not only improves the convenience of life, but also provides rich learning resources, which is suitable for users of different ages.

[0073] 3. The present invention integrates the shopping and payment module and the community service module, and helps users make wise shopping decisions and provides a safe payment method through functions such as intelligent shopping assistant, price comparison, and quick payment. At the same time, the community service module promotes interaction and resource sharing among community members, and enhances community cohesion through functions such as garbage classification and neighborhood mutual assistance, thus realizing the organic combination of environmental protection and community services. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 is a system architecture diagram of the present invention;

[0075] Figure 2 This is a schematic diagram of a health signal monitoring and analysis module of the present invention;

[0076] Figure 3 A schematic diagram of the safety and emergency assistance module of the present invention;

[0077] Figure 4 This is a schematic diagram of a smart home control module of the present invention;

[0078] Figure 5 It is a schematic diagram of the education and learning module of the present invention;

[0079] Figure 6 A schematic diagram of a shopping and payment module of the present invention;

[0080] Figure 7 This is a schematic diagram of the elderly care module of the present invention;

[0081] Figure 8 It is a schematic diagram of the intelligent transportation and logistics module of the present invention;

[0082] Fig. 9 This is a schematic diagram of a community service module of the present invention;

[0083] Fig.10 A stereoscopic image of the smart wearable device of the present invention from a first viewing angle;

[0084] Fig.11 It is a stereoscopic image of the smart wearable device of the present invention from a second viewing angle.

[0085] Among them, 1. Dial; 2. Wristband; 3. Operation screen; 4. Microphone; 5. Camera; 6. Accelerometer; 7. Charging port; 8. Heart rate and blood oxygen sensor; 9. Temperature sensor; 10. Back panel. DETAILED DESCRIPTION

[0086] 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.

[0087] Example:

[0088] Please refer to the attached Figure 1 -Attached Fig.11The embodiment of the present invention provides an auxiliary system based on a smart wearable device used in daily life, including:

[0089] Health signal monitoring and analysis module:

[0090] Heart rate monitoring unit;

[0091] In this embodiment, the heart rate monitoring unit is implemented by integrating a photoplethysmography (PPG) sensor in a wearable device. The PPG sensor includes a light source and a photodetector. The light source emits light of a specific wavelength to the surface of the skin. The light is absorbed and scattered by the blood and then returns. The photodetector detects the change in the intensity of the returned light, thereby inferring the change in blood flow and then calculating the heart rate. The sensor is connected to a microcontroller (MCU), which collects and processes photoelectric signals in real time and transmits the heart rate data to the main control chip for analysis and storage;

[0092] Heart rate monitoring is achieved through photoplethysmography (PPG) technology. The basic algorithm formula is as follows:

[0093]

[0094] in:

[0095] HR stands for heart rate per minute (beats / minute).

[0096] RR represents the time interval between two consecutive heart beats in seconds.

[0097] RR is obtained by analyzing the PPG signal. After the optical signal collected by the PPG sensor is preprocessed (filtering, denoising, etc.), the time interval between two peaks, i.e., the RR interval, is calculated by detecting the peak position in the PPG waveform. This interval time can be accurately calculated by methods such as FFT (Fast Fourier Transform) or time domain analysis.

[0098] The HR value is calculated by averaging multiple RR intervals, which can reduce heart rate fluctuations caused by exercise or other external factors.

[0099] Blood oxygen monitoring unit;

[0100] In this embodiment, the blood oxygen monitoring unit adopts near-infrared spectroscopy technology, which is achieved by integrating two wavelengths of LED light sources (red light and infrared light) and a photodiode (photoelectric receiver) in the device. The LED light source emits red light and infrared light alternately. When passing through the fingertips or earlobes, the light is absorbed by the oxygenated hemoglobin and reduced hemoglobin in the blood at different ratios. The photodiode receives the light that passes through the tissue, and the MCU calculates the blood oxygen saturation based on the absorption rate of light of different wavelengths;

[0101] Blood oxygen monitoring is achieved through the SpO2 (blood oxygen saturation) calculation formula. The basic algorithm formula is as follows:

[0102]

[0103] in:

[0104] SpO2 stands for blood oxygen saturation (percentage).

[0105] R and IR represent the absorption ratios of red light and infrared light in tissues, respectively.

[0106] A and B are calibration coefficients obtained by experimental calibration.

[0107] R and IR are calculated from the light intensity signal collected by the photodetector. The absorption ratio of red light and infrared light is calculated by the formula:

[0108]

[0109] in:

[0110] AC R and AC IR It is the AC signal component of red and infrared light, representing the changes in light absorption caused by arterial blood flow.

[0111] DC R and DC IR It is the DC signal component of red and infrared light, representing the light absorption of static tissue.

[0112] Temperature monitoring unit;

[0113] In this embodiment, the body temperature monitoring unit is implemented by integrating a thermocouple or an infrared temperature sensor. The infrared temperature sensor does not need to be in direct contact with the skin and measures body temperature by detecting infrared radiation emitted by the human body. The temperature data is converted into a digital signal by an analog-to-digital converter (ADC) and transmitted to the MCU for real-time processing and analysis. The body temperature data can be displayed to the user in real time through a display screen or an application.

[0114] Sleep monitoring unit;

[0115] In this embodiment, the sleep monitoring unit monitors the user's sleep pattern by combining an accelerometer, a heart rate sensor, and an optical sensor. The accelerometer is used to detect the frequency and intensity of the user's body movements, the heart rate sensor monitors changes in heart rate, and the optical sensor can assist in detecting changes in blood oxygen. The data is processed by a multi-sensor fusion algorithm to generate a sleep quality report for the user, which includes the duration and proportion of sleep cycles (such as light sleep, deep sleep, and rapid eye movement).

[0116] SleepStage=f(HR,RMSSD,Activity)

[0117] in:

[0118] HR stands for heart rate.

[0119] RMSSD stands for the root mean square difference of heart rate variability.

[0120] Activity refers to the intensity of physical movement and is usually measured by accelerometer data.

[0121] Symbol meaning and value acquisition:

[0122] HR is obtained through the aforementioned heart rate monitoring algorithm.

[0123] The RMSSD is calculated as follows:

[0124]

[0125] in:

[0126] N represents the number of heart beat intervals.

[0127] HR i represents the RR interval of the i-th heartbeat.

[0128] Activity uses an accelerometer to measure the user's body movement during sleep. Body movement data is usually calculated by vector amplitude:

[0129]

[0130] in:

[0131] Ax, Ay, and Az are the acceleration components of the accelerometer on the X, Y, and Z axes, respectively.

[0132] The sleep stage is determined using a machine learning model decision tree, which is classified by inputting the above parameters.

[0133] Abnormal data early warning unit;

[0134] In this embodiment, the abnormal data warning unit is implemented by running an abnormal detection algorithm on the MCU. The algorithm monitors heart rate, blood oxygen, body temperature and sleep data in real time. Once any abnormal indicator beyond the normal range is detected, the system will immediately issue a sound or vibration warning, and send the warning information to the user's mobile device via Bluetooth or Wi-Fi, so as to promptly notify the user and his emergency contacts.

[0135] Abnormal data warning uses multi-parameter joint analysis. Common algorithms are threshold detection and conditional combination formula:

[0136] Alert=(HR>HR max )||(HR <HR min )||(SpO2 <SpO2 min )||(Temp>Temp max )

[0137] in:

[0138] HR is the current heart rate, HR max and HR min The upper and lower limits of the heart rate are set.

[0139] SpO2 is the current blood oxygen saturation, SpO2 min The lowest blood oxygen threshold is set.

[0140] Temp is the current body temperature. max The upper temperature limit is set.

[0141] The real-time values ​​of the physiological parameters are obtained through the algorithms of the aforementioned corresponding monitoring units.

[0142] Threshold HR max , HR min 、SpO2 min and Temp are based on medical standards or user personal settings and are manually input by the doctor or user as needed.

[0143] Health report generation unit;

[0144] In this embodiment, the health report generation unit regularly summarizes and analyzes the user's biosignal data. The system uses a data mining algorithm to perform long-term trend analysis on heart rate, blood oxygen, body temperature, and sleep data to generate a detailed health report. The report includes the changing trend of various health indicators, comparison with standard health indicators, and personalized health suggestions. Users can view the report through a mobile application and adjust their lifestyle according to the suggestions.

[0145] Personalized health reminder unit;

[0146] In this embodiment, the personalized health reminder unit dynamically generates health reminder content by combining the user's health data, history records and personal settings. The reminder content includes daily exercise, diet adjustment, and regular physical examinations. Based on the user's living habits, the system uses machine learning algorithms to predict possible health risks and remind users to take preventive measures in advance. The reminder information can be pushed to the user through the screen display, voice broadcast or mobile application of the smart device.

[0147] Safety and emergency assistance module:

[0148] In order to ensure the safety of users in daily life, the smart wearable device of the present invention integrates a safety and emergency help module. The module includes multiple safety function units, each of which works independently or in combination to ensure that users can get quick and effective help in an emergency.

[0149] Emergency call unit;

[0150] In this embodiment, the emergency call unit is implemented through a physical button or touch screen on the device. When the user encounters an emergency, long press the emergency button on the device, and the system immediately activates the emergency call function. The call signal is sent to the preset emergency contact or emergency service agency through the built-in communication module (such as a cellular network module or Wi-Fi), along with the user's location information and health data.

[0151] Location Sharing Unit;

[0152] In this embodiment, the location sharing unit realizes real-time positioning by integrating a GPS module. The system obtains the user's real-time location at regular intervals (e.g., 5 seconds), and automatically shares the location information with emergency contacts via a mobile network or Wi-Fi when an emergency is detected. The location information can be displayed in real time through a map application to help rescuers quickly reach the user's location.

[0153] Home monitoring units;

[0154] In this embodiment, the home monitoring unit realizes real-time monitoring of the home environment by connecting with the camera and microphone of the smart home system. The video stream captured by the camera and the audio stream collected by the microphone are transmitted to the smart wearable device through the local network, and can be remotely transmitted to the user's mobile device. The user can check the situation at home at any time through the mobile application and receive an alert when an abnormality is detected.

[0155] Driving record unit;

[0156] In this embodiment, the driving recorder unit is linked to the driving recorder in the car. The smart wearable device and the driving recorder communicate data via Bluetooth or Wi-Fi. When a collision or emergency braking of the vehicle is detected, the system will automatically save the images of a few seconds before and after, and synchronize them to the user's personal account through the cloud. These data can be used for accident analysis and insurance claims.

[0157] Emergency Notification Unit;

[0158] In this embodiment, the emergency notification unit works through an event trigger mechanism. When the system detects an emergency (such as a fall, abnormal heart rate), the emergency notification unit is immediately activated, automatically generates an emergency message containing health data and location, and sends it to the preset emergency contacts via SMS, email or in-app notification. Users can set the notification recipient and notification method in the configuration application.

[0159] Remote access unit;

[0160] In this embodiment, the remote access unit is connected to the home monitoring system through a cloud server. Authorized users can remotely access the home camera and microphone through a mobile application and view the home video and audio data in real time. This function is suitable for when the user is away from home, so that the user can monitor the home security status at any time and intervene when necessary.

[0161] Smart home control module:

[0162] In order to realize intelligent control of the home environment, the smart wearable device of the present invention integrates a smart home control module. The module includes multiple functional units, through which users can realize remote control and automatic management of home devices.

[0163] Smart home appliance control unit;

[0164] In this embodiment, the smart home appliance control unit is connected to smart home appliances (such as lights, air conditioners, and audio) in the home via Bluetooth and Wi-Fi. Users can choose to control devices and adjust the working status of devices through the application interface on the smart wearable device. For example, users can turn on or off lights, adjust the temperature of air conditioners, or control audio to play music by clicking icons on the interface. The system supports linkage operations between devices. For example, when the user selects the viewing mode, the system will automatically dim the lights, turn on the TV, and adjust the audio volume.

[0165] Safety system linkage unit;

[0166] In this embodiment, the security system linkage unit provides comprehensive home security protection by integrating with the home security system (such as smart door locks, alarms, and surveillance cameras). Users can remotely view the door lock status and surveillance camera images through smart wearable devices, and activate the alarm when suspicious situations are detected. The system can also automatically set security protection measures based on the user's away mode, such as automatically locking the door and activating the anti-theft alarm when the user leaves home.

[0167] Environmental control unit;

[0168] In this embodiment, the environmental control unit monitors the indoor environment in real time through the built-in temperature and humidity sensors, and is linked with smart home appliances (such as air purifiers, humidifiers, and air conditioners). The system can automatically adjust the operating mode of the air purifier, the working time of the humidifier, and the temperature setting of the air conditioner according to the sensor readings to ensure that the indoor environment is always in a comfortable state. Users can also manually adjust the environmental settings through smart wearable devices to meet personalized needs.

[0169] Equipment status monitoring unit;

[0170] In this embodiment, the device status monitoring unit is connected to the communication interface of the smart home appliance to monitor the operating status of the device in real time. When the system detects that the device is abnormal (such as air conditioner failure or light bulb damage), it will automatically issue a reminder and display specific fault information on the device management interface. Users can choose to manually repair the fault or make an appointment for professional maintenance service. The device status data will also be synchronized to the cloud for users to view remotely.

[0171] Automation control unit;

[0172] In this embodiment, the automation control unit automatically performs the operation of home appliances based on the user's daily habits and preset life scenes. For example, the user can set a "morning wake-up" scene to automatically open the curtains, play light music, and start the coffee machine at 7 o'clock in the morning. The system will automatically adjust the operating status of the equipment according to the preset schedule and sensor data to achieve a seamless life experience.

[0173] Education and Learning Modules:

[0174] The smart wearable device of the present invention integrates an education and learning module to provide users with comprehensive learning support and knowledge acquisition methods. The module works in tandem with multiple units to help users learn effectively at any time and any place.

[0175] Online learning units;

[0176] In this embodiment, the online learning unit supports real-time online classes through the device's camera and microphone. Users can wear the device and use mobile applications to connect to the online education platform to participate in course learning. The system supports real-time transmission of audio and video, and users can interact with teachers and other students. The device also supports screen sharing, and teachers can use the device to show teaching materials to students to improve learning effects.

[0177] Study reminder unit;

[0178] In this embodiment, the learning reminder unit sets the learning plan and reminder time through the application. The system will regularly remind the user to study and complete homework on time according to the user's course schedule and learning progress. The reminder method includes device vibration, screen prompt or voice broadcast, and the user can choose the reminder method according to personal preference. The system will also dynamically adjust the reminder frequency according to the user's learning effect to help the user maintain good learning habits.

[0179] AR learning unit;

[0180] In this embodiment, the AR learning unit uses augmented reality (AR) technology to provide users with an immersive learning experience. The user captures the real environment through the camera of the device, and then overlays the virtual 3D model and interactive content on the screen. For example, when learning human anatomy, the user can view and operate the virtual 3D organ model through the device to gain a deeper understanding of the human body structure. AR learning content can be downloaded through the application or loaded in real time through streaming.

[0181] Course Record Unit;

[0182] In this embodiment, the course recording unit automatically records the user's learning progress, homework completion, and test scores. The system will synchronize these records to the cloud, and the user can view his or her learning history at any time and adjust the learning plan according to the records. The course recording unit also supports the generation of learning reports, analyzes the user's learning effect, and provides improvement suggestions.

[0183] Content search unit;

[0184] In this embodiment, the content search unit integrates an intelligent voice assistant, and users can quickly find the required learning materials through voice or text input. The search function covers a variety of learning resources such as online courses, textbooks, papers, and video tutorials. Users only need to enter keywords to obtain relevant content. The system also supports voice recognition technology, and users can search directly through voice commands to improve learning efficiency.

[0185] Interactive feedback unit;

[0186] In this embodiment, the interactive feedback unit supports users to interact with teachers and classmates in the online classroom. Users can participate in classroom discussions, ask questions or share insights through text chat, voice conversation or video call. The system also supports voting and question-and-answer interaction to enhance classroom participation. All interaction records will be saved in the course archive for users to review after class.

[0187] Shopping and payment module:

[0188] In order to meet the daily shopping and payment needs of users, the smart wearable device of the present invention integrates a shopping and payment module. The module works in coordination with multiple functional units to provide users with a convenient and safe shopping experience.

[0189] Shopping assistant unit;

[0190] In this embodiment, the shopping assistant unit helps users browse product information and user reviews online through the built-in Internet connection function. Users can enter the product name or scan the barcode through the application of the smart wearable device, and the system will automatically search for related products and display detailed information, including price, evaluation, and sales. Users can make purchase decisions based on this information. The system also supports the product collection function, and users can add the products they are interested in to their favorites and purchase them later.

[0191] Price comparison unit;

[0192] In this embodiment, the price comparison unit automatically compares the prices of the same product on different platforms by accessing the product databases of multiple e-commerce platforms in real time. The system will list the lowest-priced purchase options and recommend the best platform based on the user's purchase history and preferences. The user can also set price monitoring. When the price of a product drops to an expected range, the system will automatically send a notification to remind the user to purchase it in time.

[0193] Quick payment unit;

[0194] In this embodiment, the quick payment unit integrates a variety of mainstream mobile payment methods, such as Alipay, WeChat Pay, and Apple Pay. After completing the shopping selection, the user can pay directly through the smart wearable device. The payment process includes selecting a payment method, verifying identity (such as fingerprint or facial recognition), and confirming payment. The system automatically generates transaction records and ensures the security of the payment process through encryption technology.

[0195] Payment security unit;

[0196] In this embodiment, the payment security unit ensures the user's payment security through multiple encryption and identity authentication mechanisms. The system will perform environmental security detection before each payment to ensure that the user conducts transactions in a reliable network environment. During the payment process, the user's personal information and payment data are transmitted through an encrypted channel to prevent information leakage. The system also supports a double verification function, and when abnormal payment behavior is detected, the user will be required to perform additional verification.

[0197] Shopping history unit;

[0198] In this embodiment, the shopping history record unit automatically records each shopping behavior of the user, including the name, price, time and trading platform of the purchased goods. The user can check his shopping history at any time and repurchase or return goods according to the historical records. The system will also generate a personalized recommendation list based on the user's shopping preferences to help the user find more products that meet his preferences.

[0199] Discount information acquisition unit;

[0200] In this embodiment, the discount information acquisition unit obtains user-related discount information such as coupons, discount codes, and promotions in real time by connecting to the merchant system. The system pushes the most relevant discount information based on the user's shopping habits and geographic location to help the user enjoy more discounts when shopping. The user can view and manage the coupons they have received in the application, and they will be automatically applied at checkout.

[0201] Elderly Care Module:

[0202] Aiming at the health and safety needs of the elderly, the smart wearable device of the present invention is designed with an elderly care module, which provides comprehensive elderly health management and safety protection services through the coordinated work of multiple functional units.

[0203] Health care unit;

[0204] In this embodiment, the health monitoring unit monitors the elderly's vital signs (such as heart rate, blood pressure, blood oxygen, and body temperature) in real time to ensure that an alarm can be issued in time when an abnormality is detected. The system will compare the monitoring data with the elderly's health history, identify potential health problems, and remind the elderly to seek medical treatment when necessary. The data of the health monitoring unit can be synchronized with the family doctor or medical institution for doctors to conduct remote health management.

[0205] Medication reminder unit;

[0206] In this embodiment, the medication reminder unit sets the medication plan for the elderly through the application program and regularly reminds them to take the medication on time. The system will issue a reminder (such as vibration, sound or screen display) according to the medication schedule of the elderly to ensure that the elderly will not forget to take the medication. The medication reminder unit will also record the time and dosage of each medication and confirm it after taking the medication to prevent missing or wrong medication.

[0207] Anti-lost unit;

[0208] In this embodiment, the anti-lost unit helps prevent the elderly from getting lost through GPS positioning and geo-fencing technology. The system allows users to set a safe area for the elderly to move around (such as around the home or community). When the elderly go beyond the area, the system will automatically sound an alarm and send real-time location information to family members or caregivers. Family members can check the location of the elderly at any time through the mobile application and guide them back to the safe area when necessary.

[0209] Fall detection unit;

[0210] In this embodiment, the fall detection unit uses a built-in acceleration sensor and gyroscope to detect the posture changes of the elderly. When the system detects a rapid decrease in gravity acceleration or a sudden posture change, it will determine whether the user has fallen. If a fall is detected, the system will immediately sound an alarm and ask the user by voice whether he needs help. If the user does not respond, the system will automatically notify the emergency contact and share the real-time location of the elderly.

[0211] Periodic Health Assessment Unit;

[0212] In this embodiment, the regular health assessment unit generates a detailed health assessment report regularly by summarizing the daily health data of the elderly. The report includes long-term trend analysis of vital signs, health risk prediction and personalized health advice. The system will send the assessment results to the elderly's family doctor or medical service agency for the doctor's reference and adjustment of the treatment plan. Users can also view and save health assessment reports through mobile applications.

[0213] Social reminder unit;

[0214] In this embodiment, the social reminder unit regularly reminds the elderly to participate in community or family social activities to help them stay connected with the outside world. The system recommends suitable social activities based on the interests and health conditions of the elderly, and notifies the elderly to participate on time through the reminder function on the device. Users can view the activity schedule through the mobile application and sign up or cancel.

[0215] Intelligent transportation and logistics module:

[0216] In order to enhance the user's experience in transportation and logistics management, the smart wearable device of the present invention integrates an intelligent transportation and logistics module. The module provides users with comprehensive transportation management and logistics services through the coordinated work of multiple functional units.

[0217] Intelligent navigation unit;

[0218] In this embodiment, the intelligent navigation unit automatically generates the optimal travel route based on GPS positioning, real-time traffic data and the user's destination information. The system analyzes the current traffic conditions, including road congestion, construction information and weather impacts, and dynamically adjusts the navigation route to ensure that the user can reach the destination in the shortest time. The intelligent navigation unit also supports multiple travel options, including walking, driving, cycling and public transportation, and users can choose the best route according to their personal needs.

[0219] Internet of Vehicles Unit;

[0220] In this embodiment, the vehicle networking unit is linked with the vehicle's internal system (such as OBD interface, driver assistance system, entertainment system) via Bluetooth or Wi-Fi to provide intelligent driving assistance functions. The system monitors the vehicle's status (such as speed, fuel consumption, tire pressure) in real time and issues an alarm when an abnormality is detected. Users can remotely start, lock, or view the vehicle's location through smart wearable devices. The system also supports vehicle trip records and driving behavior analysis to help users optimize their driving habits.

[0221] Logistics tracking unit;

[0222] In this embodiment, the logistics tracking unit tracks the status of the user's package in real time by connecting to the logistics company system. The user can view the current transportation progress, estimated delivery time and logistics path of the package through the smart wearable device. If the package encounters an abnormality during transportation (such as delay or loss), the system will automatically notify the user and provide a solution. The user can also communicate with the logistics company's customer service through the system to query or adjust the delivery information.

[0223] Automated distribution units;

[0224] In this embodiment, the automated delivery unit combines drone and robot technology to realize automated package delivery service. When the user selects the automated delivery option, the system will arrange the most suitable drone or delivery robot to deliver the package according to the user's address and time requirements. The real-time video and location data during the delivery process will be synchronized to the user's smart wearable device, and the user can monitor the delivery progress at any time and adjust the delivery arrangement when necessary.

[0225] Travel unit;

[0226] In this embodiment, the travel unit automatically recommends the best travel route, transportation and accommodation environment based on the user's travel destination, consumption habits and current traffic conditions. Users can browse recommended travel plans through smart wearable devices and directly book air tickets, hotels and attraction tickets. The system will adjust the itinerary according to real-time traffic data to ensure that users get the best travel experience during the trip. At the same time, the travel unit also provides itinerary reminder services, so that users can check their schedules at any time and receive navigation instructions during the trip.

[0227] Traffic condition prediction unit;

[0228] In this embodiment, the traffic condition prediction unit uses big data analysis and machine learning technology to predict future traffic conditions. The system will combine historical traffic data, weather forecasts and real-time traffic information to predict traffic flow and congestion in a specific time period. Users can view the traffic condition forecast report before traveling and adjust their travel plans based on the forecast results to avoid peak traffic hours or congested sections and save travel time.

[0229] Traffic condition prediction uses a time series prediction algorithm, and the formula is as follows:

[0230] Y t =c+φ1Y t-1 +φ2Y t-2 +…+φ p Y t-p +θ1∈ t-1 +…+θ q ∈ t-q +∈ t

[0231] in:

[0232] Y t represents the traffic flow at time t.

[0233] c is a constant term.

[0234] φ1,φ2,...,φ p is the autoregression coefficient.

[0235] θ1,θ2,...,θ q is the sliding average coefficient.

[0236] ∈ t is the error term.

[0237] Symbol meaning and value acquisition:

[0238] Y t It is the actual observation of traffic flow, usually provided by traffic monitoring sensors or historical data.

[0239] The autoregressive coefficient and moving average coefficient are obtained by statistical modeling of historical traffic data.

[0240] Error term ∈ t Represents the model prediction error, obtained based on residual analysis.

[0241] Community Service Module:

[0242] In order to enhance the user's sense of community participation and resource utilization, the smart wearable device of the present invention integrates a community service module. The module promotes community interaction and improves the utilization efficiency of community resources through the coordinated work of multiple functional units.

[0243] community safety units;

[0244] In this embodiment, the community safety unit monitors the safety status of the community in real time through an intelligent monitoring and alarm system. The system analyzes data from community cameras, access control systems, and other security equipment to determine whether there are safety hazards (such as illegal intrusions, fires). When an abnormal situation is detected, the community safety unit will automatically alert users and community managers and provide response suggestions through smart wearable devices. Users can also view community surveillance videos through mobile applications to keep abreast of community safety trends.

[0245] Neighborhood Mutual Aid Units;

[0246] In this embodiment, the neighborhood mutual aid unit promotes resource sharing and mutual aid activities among community members through the community platform. Users can post demand information on the platform, such as carpooling, second-hand transactions, and borrowing items, and neighbors can respond to these needs and provide help. The system will automatically match the demander and the provider, and provide a safe transaction and communication environment. Users can also evaluate the mutual aid experience on the platform, forming a community credit system and encouraging more people to participate in neighborhood mutual aid.

[0247] Community event notification unit;

[0248] In this embodiment, the community activity notification unit regularly pushes various activity information in the community, such as sports events, cultural salons, and charity events. Users can browse the event details through smart wearable devices and sign up for the activities they are interested in. The system will recommend the most relevant activities based on the user's interest preferences and event participation history to increase the user's participation rate. Before the event starts, the system will issue a reminder to ensure that users will not miss important events.

[0249] Resource sharing unit;

[0250] In this embodiment, the resource sharing unit integrates the shared resources in the community, such as libraries, gyms, and swimming pools. Users can book the use time of these facilities through smart wearable devices, and the system will automatically arrange the time and avoid resource conflicts. The resource sharing unit also provides the current use status and queue information of the facilities, so that users can reasonably arrange the use time and avoid peak hours. The system also supports resource sharing among community members, such as book exchange and tool borrowing, to further improve resource utilization.

[0251] Environmental Protection Unit;

[0252] In this embodiment, the environmental protection unit enhances users' environmental awareness and participation by promoting community environmental protection actions. The system supports garbage classification guidance. Users can scan garbage barcodes or manually enter garbage names through smart wearable devices, and the system will automatically identify the type of garbage and give classification suggestions. In addition, users can obtain environmental protection points by uploading videos or photos of participating in community environmental protection actions. Points can be exchanged for resources or enjoy merchant discounts within the community, encouraging users to actively participate in environmental protection activities. The system will regularly publish environmental protection points rankings to commend users with outstanding environmental protection contributions.

[0253] It also includes:

[0254] Waste sorting unit;

[0255] In this embodiment, the garbage classification unit helps users to correctly classify garbage through the built-in camera and AI image recognition technology. When discarding garbage, users can scan the garbage barcode or directly take a picture of the garbage through the camera of the smart wearable device. The system will automatically identify the type of garbage and display the correct classification information. The system also supports manual input of garbage names, and users can search for the classification method of specific garbage in the classification database. The garbage classification records will be synchronized to the cloud for users to view and analyze their environmental protection behavior in the future.

[0256] Environmental Action Incentive Unit;

[0257] In this embodiment, the environmental protection action incentive unit encourages users to participate in various environmental protection activities through a points reward mechanism. Users can sign in to community environmental protection activities such as garbage sorting, tree planting, energy conservation and emission reduction through smart wearable devices. The system will automatically record the user's participation and give environmental protection points as rewards. These points can be exchanged for public resources in the community or participate in merchant discounts. The system also supports the display of environmental protection achievements. Users can display their environmental protection achievements on the community platform and exchange environmental protection experiences with other community members to further encourage environmental protection actions.

[0258] Unit on promotion of traditional virtues;

[0259] In this embodiment, the traditional virtue promotion unit aims to combine environmental protection actions with traditional virtues and encourage users to practice traditional virtues in their daily lives. The system will regularly publish activities related to traditional virtues, such as saving food, caring for the environment, and helping others, and invite users to participate. Users can earn virtue points by uploading videos or photos of participating in activities, and share their experiences and feelings on the community platform. This unit not only enhances users' environmental awareness, but also promotes traditional virtues and promotes the moral construction of the community.

[0260] Community Exchange Unit;

[0261] In this embodiment, the community communication unit provides a platform for community members to interact and communicate. Users can post information, discuss community affairs, and share life experiences on the platform. The community communication unit supports multiple communication methods, including text chat, voice dialogue, picture sharing, and video communication. The system will also recommend relevant discussion topics and communication circles based on the user's interests, helping users find like-minded neighbors and enhancing community cohesion.

[0262] 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. An auxiliary system based on a smart wearable device used in daily life, characterized in that: include: Health signal monitoring and analysis module, used to monitor the user's heart rate, blood oxygen, sleep and body temperature, and generate health reports based on the user's health data; Safety and emergency assistance module, used for calling for help, positioning and safety monitoring in emergency situations; Smart home control module, used to control smart appliances via Bluetooth and Wi-Fi, adjust indoor temperature and humidity, and link with security systems; Education and learning module, used to provide online learning and knowledge acquisition functions; Shopping and payment module, used to support users in making shopping decisions and payment operations; Elder Care Module, which monitors the health and safety of the elderly; Intelligent transportation and logistics module, used to optimize transportation routes, monitor cargo status and provide travel accommodation arrangements; Community service module, used to promote community interaction and resource utilization.

2. According to claim 1, an auxiliary system for a smart wearable device used in daily life is characterized in that: The health signal monitoring and analysis module includes: Heart rate monitoring unit, used to monitor the user's heart rate in real time and warn of abnormal situations; Blood oxygen monitoring unit, used to monitor blood oxygen saturation; Body temperature monitoring unit, used to monitor body temperature in real time and warn of fever; Sleep monitoring unit, used to analyze the user's sleep quality and provide improvement suggestions; An abnormal data warning unit is used to issue a warning signal when abnormal conditions in heart rate, blood oxygen, body temperature or sleep are detected; A health report generating unit, used for periodically generating a health report of a user; Personalized health reminder unit, used to provide professional advice based on the user's health data.

3. According to claim 1, an auxiliary system for a smart wearable device used in daily life is characterized in that: The safety and emergency assistance module includes: Emergency call unit, used to call emergency contacts or call the police with one click; A location sharing unit for sharing the user's location in real time during an emergency; Home monitoring units, used to monitor home security through remote devices, providing video and audio surveillance; A driving recorder unit, used to record driving data and detect collisions in the car; Emergency notification unit, used to automatically send notifications to preset contacts in emergency situations; Remote access units are used for users or authorized personnel to view home surveillance video and audio through remote devices.

4. The auxiliary system of the smart wearable device used in daily life according to claim 1, characterized in that: The smart home control module comprises: Smart home appliance control unit, which controls smart home appliances via Bluetooth and Wi-Fi; Security system linkage unit, linked with the smart home security system to achieve door lock control and security alarm; Environmental control unit, including automatic control of air purifier and regulation of indoor temperature and humidity; Device status monitoring unit, which monitors the operating status of smart home appliances and issues warnings when a fault is detected; An automation control unit is used to automatically adjust the operating status of home appliances according to preset environmental parameters.

5. The auxiliary system of the smart wearable device used in daily life according to claim 1, characterized in that: The education and learning modules include: Online learning unit, which supports interactive teaching by participating in real-time online courses through camera and microphone; The learning reminder unit is used to remind users to study on time and submit homework according to the course schedule and learning plan; AR learning unit, which uses AR technology to display three-dimensional models and interactive content to enhance the learning experience; Course recording unit, used to record the user's learning progress and grades; Content search unit, used by users to quickly find learning content or answer questions; Interactive feedback unit for interactive communication with teachers and classmates in online classes.

6. The auxiliary system of the smart wearable device used in daily life according to claim 1, characterized in that: The shopping and payment module includes: The shopping assistant unit is used to provide product information and user reviews to help users make shopping decisions; Price comparison unit, used to compare commodity prices on various platforms in real time and provide the best purchase suggestions; Quick payment unit, integrating mobile payment function to realize convenient online and offline payment; Payment security unit, which uses multiple encryption and identity authentication technologies to ensure payment security; Shopping history record unit, used to record the user's shopping history and provide personalized recommendations; The discount information acquisition unit is used to acquire and push coupon or discount information related to the user.

7. The auxiliary system of a smart wearable device used in daily life according to claim 1, characterized in that: The elderly care module includes: Health monitoring unit, used to monitor the health status of the elderly in real time and provide emergency warning and assistance when abnormalities are detected; The medication reminder unit reminds the elderly to take medication on time according to the doctor's orders to avoid missing or taking the wrong medication; The anti-lost unit uses GPS positioning to prevent the elderly from getting lost and provides real-time location sharing; Fall detection unit, which detects falls by elderly people and automatically notifies family members or emergency contacts; Regular health assessment unit, used to regularly assess the health status of the elderly and generate assessment reports; Social reminder unit, used to remind seniors to participate in social activities and help reduce loneliness.

8. The auxiliary system of a smart wearable device used in daily life according to claim 1, characterized in that: The intelligent transportation and logistics module includes: Intelligent navigation unit to provide real-time traffic information and optimize travel routes; The Internet of Vehicles unit is used to link with the vehicle system to provide intelligent driving assistance functions; Logistics tracking unit, used to monitor the status of goods in real time to ensure safety and efficiency in the logistics process; The travel unit automatically selects the best means of transportation, routes and accommodation based on the user's consumption habits, tourist attractions and real-time traffic conditions; Traffic condition prediction unit, used to predict future traffic conditions and optimize travel routes in advance.

9. The auxiliary system of the smart wearable device used in daily life according to claim 1, characterized in that: The community service modules include: Community safety unit, used to monitor community safety and provide security early warning and alarm functions; Neighborhood mutual aid units provide mutual aid services such as carpooling and second-hand transactions through community platforms; Community activity notification unit, used to notify users to participate in community activities and enhance community interaction; Resource sharing unit, used to share library and gym resources within the community; Environmental protection unit, which increases credit points by sorting garbage and uploading videos, putting traditional virtues into action; The community communication unit is used for interactive communication among community members and to enhance community cohesion.

10. A smart wearable device based on the smart assistance system of claim 1, comprising a dial (1) with an AI control system installed inside, characterized in that: Wristbands (2) are installed on both sides of the dial (1); an operation screen (3) for providing an operation interface is installed in the middle of the dial (1); a microphone (4) for voice interaction is installed in the middle of the operation screen (3); a camera (5) is arranged on the top of the dial (1); the camera (5) is used to photograph and identify objects; acceleration sensors (6) are fixedly connected to both sides of the dial (1); a back plate (10) is installed on the rear side of the dial (1); a heart rate and blood oxygen sensor (8) is installed in the middle of the back plate (10); a temperature sensor (9) is installed at the bottom of the back plate (10); and a charging interface (7) is provided at the bottom of the dial (1).

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