Wake-up method, device and equipment of electric toothbrush and storage medium

Abstract

The invention discloses an awakening method, device and equipment of an electric toothbrush and a storage medium, and relates to the technical field of electric toothbrushes, and the awakening method comprises the following steps: detecting a gravity change value of the electric toothbrush through a built-in three-axis acceleration sensor, generating detection data in real time, comparing the gravity change value with a preset multi-layer gravity change threshold group, and judging whether the electric toothbrush is waken or not. Whether a triggering condition is met or not is judged, whether the real-time data meet a preset multi-dimensional awakening strategy or not is judged, and the multi-dimensional awakening strategy comprises a user personalized awakening mode, handheld state judgment based on behavior characteristics and dynamic environment interference filtering. According to the intelligent awakening method based on the gravity change, intelligent judgment, recognition and awakening according to the gravity change are achieved, the tedious problem that a traditional electric toothbrush awakening mode depends on a physical key or a touch screen is solved, the equipment use complexity is reduced, the use convenience is improved, and the battery endurance time is effectively prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of electric toothbrushes, and in particular to an electric toothbrush waking-up method, device, equipment and storage medium. Background Art

[0002] As people's living standards improve, electric toothbrushes have become a common personal care tool in modern life. In order to improve the user experience of electric toothbrushes, many advanced electric toothbrush designs use intelligent wake-up technology to improve the response speed and sensitivity of the device. Existing technologies mostly rely on traditional button or touch wake-up methods, but this wake-up method has certain limitations, such as inconvenient operation and high power consumption.

[0003] This application proposes a new wake-up method, which uses sensors to monitor the gravity changes of the device to achieve a smarter, energy-saving and efficient wake-up process. Combined with a microcontroller unit and a deep learning algorithm, it can automatically identify the user's operating behavior and intelligently wake up the device.

[0004] 1. Patent document CN111297506B discloses a method for controlling an electric toothbrush. The above patent realizes the functions of automatic awakening and automatic starting of the electric toothbrush without pressing a button, as well as automatic mode switching. However, the above patent cannot realize intelligent judgment and recognition of awakening based on gravity changes.

[0005] 2. Patent document CN111150515B discloses a method for controlling an electric toothbrush. The above patent realizes the functions of automatic wake-up and automatic start-up without buttons, and automatic closing after the brush head leaves the mouth, but the above patent cannot realize dynamic adjustment of the wake-up data sampling frequency.

[0006] 3. Patent document CN112932718B discloses an electric toothbrush and its control method and device. The above patent alleviates the technical problem that the operation of the electric toothbrush is complicated due to too many operating buttons of the traditional electric toothbrush, but the above patent cannot dynamically optimize the wake-up strategy and motor vibration intensity according to different wake-up data.

[0007] 4. Patent document CN114469418B discloses a control method, device, smart toothbrush and medium for a smart toothbrush. The above patent improves the convenience of using an electric toothbrush for users while avoiding the waste of toothpaste. However, the above patent cannot eliminate the influence of external interference on awakening.

[0008] In summary, the above patents cannot realize intelligent judgment and recognition of wake-up according to gravity changes, dynamically adjust the sampling frequency of wake-up data, dynamically optimize the wake-up strategy and motor vibration intensity according to different wake-up data, and eliminate the influence of external interference on wake-up, resulting in complex wake-up operation, low accuracy, high energy consumption and difficulty in eliminating external influences;

[0009] To this end, the present application proposes an electric toothbrush wake-up method, device, equipment and storage medium that can realize intelligent judgment and identification of wake-up based on gravity changes, dynamically adjust the wake-up data sampling frequency, dynamically optimize the wake-up strategy and motor vibration intensity according to different wake-up data, and eliminate the influence of external interference on wake-up. Summary of the invention

[0010] The purpose of the present invention is to provide an electric toothbrush wake-up method, device, equipment and storage medium to solve the technical problems proposed in the above background technology that the wake-up operation cannot be complex, the accuracy is low, the energy consumption is high and it is difficult to eliminate the influence of external interference, which leads to complex wake-up operation, low accuracy, high energy consumption and difficulty in eliminating external influences.

[0011] To achieve the above object, the present invention provides the following technical solution: a method for waking up an electric toothbrush, the method comprising the following steps:

[0012] S1. Detect the gravity change value of the electric toothbrush through the built-in three-axis acceleration sensor and generate detection data in real time;

[0013] S2. Compare the gravity change value with a preset multi-layer gravity change threshold group to determine whether a trigger condition is met, wherein the multi-layer gravity change threshold group includes: a static threshold, a dynamic threshold, and a directional threshold;

[0014] S3. When it is detected that the gravity change value meets the trigger condition, the data acquisition module is started, and the data acquisition module dynamically adjusts the sampling frequency according to the adaptive sampling strategy to collect current real-time acceleration data, historical trend data and user behavior pattern data;

[0015] S4, the micro control unit performs a fusion analysis on the collected real-time data and historical data, uses a deep learning algorithm to match the data features, and determines whether the real-time data conforms to a preset multi-dimensional wake-up strategy, wherein the multi-dimensional wake-up strategy includes: a user-personalized wake-up mode, a handheld state judgment based on behavioral characteristics, and dynamic environment interference filtering;

[0016] S5. When the preset multi-dimensional wake-up strategy is met, a wake-up signal is sent to the main control unit to activate the operation module of the electric toothbrush;

[0017] S6. When the wake-up condition is not met, the electric toothbrush is switched to a low-power standby mode optimized for energy saving, wherein the low-power standby mode achieves minimum power consumption by dynamically adjusting power distribution.

[0018] Preferably, the user-personalized wake-up mode of the multi-dimensional wake-up strategy includes:

[0019] User behavior model based on historical usage data and operating habits;

[0020] Dynamically adjust threshold ranges to adapt to changes in user operations;

[0021] Strategy parameters optimized in real time via machine learning methods.

[0022] Preferably, the low power standby mode includes:

[0023] Periodically activate the three-axis acceleration sensor to detect data;

[0024] Stop the power supply to the motor and display module, and reduce the operating frequency of the main control unit;

[0025] In standby mode, only the sensor, low power management module and data processing module are kept in minimum energy consumption operation.

[0026] Preferably, the awakening device comprises:

[0027] A three-axis acceleration sensor is used to detect the gravity change value of the electric toothbrush and generate detection data;

[0028] A data acquisition module is connected to the electrical signal line of the three-axis acceleration sensor and is used to collect real-time data and historical data when it is detected that the gravity change value exceeds a preset gravity change threshold group;

[0029] A microcontroller unit is connected to the data acquisition module for analyzing the collected data based on a deep learning algorithm and determining whether to wake up the electric toothbrush based on a preset multi-dimensional wake-up strategy;

[0030] A main control unit, which is in communication with the micro control unit and is used to activate the operation module of the electric toothbrush after receiving the wake-up signal;

[0031] The low power management module is connected to the micro control unit and the main control unit via electrical signal lines respectively, and is used to control the main control unit to enter a low power mode when the wake-up condition is not met.

[0032] Preferably, the three-axis acceleration sensor is mounted on the handle of the electric toothbrush and is connected to the data acquisition module via a flexible cable, and the flexible cable is coated with an anti-interference shielding layer.

[0033] Preferably, the micro control unit further comprises:

[0034] A data storage module, used to store historical motion data and wake-up strategy parameters;

[0035] Algorithm processing unit, used to perform data feature extraction and strategy matching analysis;

[0036] Communication interface for receiving updated wake-up strategies and behavior models from external devices.

[0037] Preferably, the electric toothbrush device comprises the electric toothbrush wake-up device according to any one of claims 4 to 6, and the electric toothbrush device further comprises:

[0038] The motor module is connected to the main control unit through a signal line and is used to perform vibration actions after receiving instructions from the main control unit;

[0039] The power management module is connected to the low power management module through an electrical signal line and is used to dynamically adjust the power supply voltage and current according to the standby mode and the operating mode;

[0040] The display module is connected to the main control unit through an electrical signal line and is used to display the current operating status and remaining power information.

[0041] Preferably, the driving frequency of the motor module is adjusted in real time according to the change of the motor load. The load change is determined by the microcontroller unit through real-time monitoring of the current change. The motor driving strategy is optimized through a deep learning algorithm to adapt to different tooth cleaning requirements.

[0042] Preferably, the storage medium stores a computer program, and when the computer program is loaded into a computing device, the computing device executes the method for waking up an electric toothbrush according to any one of claims 1 to 3.

[0043] Preferably, a storage unit is provided in the electric toothbrush device, and the storage unit is used to store the wake-up method logic of the electric toothbrush according to any one of claims 1 to 3;

[0044] The electric toothbrush device is also provided with an execution unit for calling the wake-up method logic in the storage unit and activating the electric toothbrush through the main control unit;

[0045] The electric toothbrush device is also provided with a data interaction unit, which is wirelessly connected to the user terminal device and is used to update the wake-up strategy parameters, synchronize user usage data and remotely wake up the electric toothbrush.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The present invention is designed with an intelligent wake-up method based on gravity changes, which realizes intelligent judgment and recognition wake-up according to gravity changes, solves the cumbersome problem of traditional electric toothbrush wake-up methods relying on physical buttons or touch screens, reduces the complexity of device use, improves convenience of use, and effectively prolongs battery life;

[0048] 2. The present invention realizes dynamic adjustment of wake-up data sampling frequency by designing a dynamic gravity change data processing technology based on an adaptive sampling strategy, solves the problem of fixed sampling frequency and power consumption in traditional technologies, reduces battery consumption, and improves wake-up reliability;

[0049] 3. The present invention is designed with multiple optimized wake-up strategies and electric drive modes, which realizes dynamic optimization of the wake-up strategy and motor vibration intensity according to different wake-up data, and solves the problem that traditional electric toothbrushes cannot dynamically adjust the wake-up mode and cleaning intensity according to the user's usage habits or environment. The personalized demand problem makes the device more intelligent and enhances the user's personalized experience;

[0050] 4. The present invention eliminates the influence of external interference on wake-up by designing an environmental dynamic interference filtering module, solves the problem that the electric toothbrush is easily affected by external interference and causes false wake-up and operation, and improves the response accuracy of the device and the requirements for multi-scenario use. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the awakening process and operation of the electric toothbrush of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0053] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0054] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] See also Figure 1 The present invention provides an embodiment: a method for waking up an electric toothbrush, the method comprising the following steps:

[0056] S1. Detect the gravity change value of the electric toothbrush through the built-in three-axis acceleration sensor and generate detection data in real time;

[0057] S2. Compare the gravity change value with a preset multi-layer gravity change threshold group to determine whether a trigger condition is met, wherein the multi-layer gravity change threshold group includes: a static threshold, a dynamic threshold, and a directional threshold;

[0058] S3. When it is detected that the gravity change value meets the trigger condition, the data acquisition module is started, and the data acquisition module dynamically adjusts the sampling frequency according to the adaptive sampling strategy to collect current real-time acceleration data, historical trend data and user behavior pattern data;

[0059] S4, the micro control unit performs a fusion analysis on the collected real-time data and historical data, uses a deep learning algorithm to match the data features, and determines whether the real-time data conforms to a preset multi-dimensional wake-up strategy, wherein the multi-dimensional wake-up strategy includes: a user-personalized wake-up mode, a handheld state judgment based on behavioral characteristics, and dynamic environment interference filtering;

[0060] S5. When the preset multi-dimensional wake-up strategy is met, a wake-up signal is sent to the main control unit to activate the operation module of the electric toothbrush;

[0061] S6. When the wake-up condition is not met, the electric toothbrush is switched to a low-power standby mode optimized for energy saving, wherein the low-power standby mode achieves minimum power consumption by dynamically adjusting power distribution;

[0062] The user-personalized wake-up mode of the multi-dimensional wake-up strategy includes:

[0063] User behavior model based on historical usage data and operating habits;

[0064] Dynamically adjust threshold ranges to adapt to changes in user operations;

[0065] Strategy parameters optimized in real time through machine learning methods;

[0066] The low power standby mode includes:

[0067] Periodically activate the three-axis acceleration sensor to detect data;

[0068] Stop the power supply to the motor and display module, and reduce the operating frequency of the main control unit;

[0069] In standby mode, only the sensor, low power management module and data processing module are kept in minimum energy consumption operation;

[0070] Furthermore, the three-axis acceleration sensor of the electric toothbrush monitors the gravity change value of the handle in real time. The detected value is x(t). The system compares x(t) with the preset multi-layer gravity change threshold group:

[0071] Static threshold: detects whether the user picks up the toothbrush from a horizontal static position;

[0072] Dynamic threshold: Analyze whether the acceleration change rate exceeds the threshold in a short period of time;

[0073] Direction threshold: determines whether the toothbrush changes direction from horizontal to vertical;

[0074] When the system detects that the user picks up the toothbrush and completes the tilting action, the data acquisition module starts to collect the current acceleration data and the historical motion data of the last 10 seconds at a frequency of 10Hz;

[0075] The microcontroller receives the data and performs the following tasks:

[0076] Extract feature vectors through deep learning GNN algorithm to analyze whether user operations comply with the wake-up strategy;

[0077] Filter out noise in the data (such as interference from unintentional shaking);

[0078] When the data is determined to meet the preset strategy, the system sends a wake-up signal to the main control unit to activate the motor module and start the vibration function;

[0079] If the acceleration change is not enough to meet the wake-up condition, the toothbrush enters a low-power standby mode to detect new data every 5 seconds.

[0080] See also Figure 1 , an embodiment of the present invention provides: an awakening device for an electric toothbrush, the awakening device comprising:

[0081] A three-axis acceleration sensor is used to detect the gravity change value of the electric toothbrush and generate detection data;

[0082] A data acquisition module is connected to the electrical signal line of the three-axis acceleration sensor and is used to collect real-time data and historical data when it is detected that the gravity change value exceeds a preset gravity change threshold group;

[0083] A microcontroller unit is connected to the data acquisition module for analyzing the collected data based on a deep learning algorithm and determining whether to wake up the electric toothbrush based on a preset multi-dimensional wake-up strategy;

[0084] A main control unit, which is in communication with the micro control unit and is used to activate the operation module of the electric toothbrush after receiving the wake-up signal;

[0085] A low power management module, connected to the micro control unit and the main control unit by electrical signal lines, and used to control the main control unit to enter a low power mode when the wake-up condition is not met;

[0086] The triaxial acceleration sensor is installed on the handle of the electric toothbrush and connected to the data acquisition module through a flexible cable, and the flexible cable is coated with an anti-interference shielding layer;

[0087] The micro control unit further comprises:

[0088] A data storage module, used to store historical motion data and wake-up strategy parameters;

[0089] Algorithm processing unit, used to perform data feature extraction and strategy matching analysis;

[0090] A communication interface for receiving updated wake-up strategies and behavior models from external devices;

[0091] Furthermore, when a user uses an electric toothbrush for the first time, the system enters the learning mode and builds a personalized wake-up model for the user by collecting and recording acceleration changes and grip feature data during multiple operations:

[0092] The system records typical actions, such as picking up from a table or removing from a charging base;

[0093] Based on the historical data of user operations, the acceleration threshold range and directional characteristics that meet user habits are automatically generated;

[0094] In daily use, when the user picks up the toothbrush from the charging base, the three-axis acceleration sensor detects a significant vertical change, and the system triggers personalized model matching;

[0095] The microcontroller unit determines whether the user meets the typical operation mode based on historical data. If so, it quickly wakes up the main control unit and starts the vibration function. If not, it attempts to further collect user operation behavior data for secondary judgment.

[0096] Through dynamic updates of personalized models, the system continuously optimizes wake-up strategies to improve adaptability and accuracy.

[0097] See also Figure 1 , an embodiment of the present invention provides: an electric toothbrush device, the electric toothbrush device includes the electric toothbrush wake-up device according to any one of claims 4-6, and the electric toothbrush device further includes:

[0098] The motor module is connected to the main control unit through a signal line and is used to perform vibration actions after receiving instructions from the main control unit;

[0099] The power management module is connected to the low power management module through an electrical signal line and is used to dynamically adjust the power supply voltage and current according to the standby mode and the operating mode;

[0100] A display module, connected to the main control unit via an electrical signal line, for displaying the current operating status and remaining power information;

[0101] The driving frequency of the motor module is adjusted in real time according to the change of motor load. The load change is determined by the microcontroller unit through real-time monitoring of current changes. The motor driving strategy is optimized through a deep learning algorithm to adapt to different tooth cleaning needs.

[0102] Furthermore, when the toothbrush is in the operating mode, the power management module is responsible for adjusting the power distribution of the electric toothbrush. The power management module monitors the battery power in real time through the low power management module, and dynamically adjusts the voltage and current according to the battery power and the requirements of the current mode. When the system detects that the power is insufficient, the power management module automatically switches to the low power mode to extend the battery life while ensuring the normal operation of the device; if the device is in the low power standby mode, the power management module will reduce the power supply to the motor module and the display module, while keeping the sensor and data processing module in a low energy consumption operating state;

[0103] The motor module obtains the working current of the motor in real time through the current monitoring function of the microcontroller unit. If the load of the motor changes (for example, the user may encounter different resistances when cleaning different parts of the teeth), the microcontroller unit will sense it through the current change; according to the real-time monitored current changes, the microcontroller unit will dynamically adjust the driving frequency of the motor to ensure that the vibration intensity and load match. For example, when encountering greater resistance, the motor driving frequency will increase moderately to provide a stronger vibration force, while in areas of lighter resistance, the motor driving frequency will be reduced, thereby avoiding energy waste and protecting the life of the motor;

[0104] The display module provides real-time feedback on the operating status of the electric toothbrush, including the current vibration mode, remaining battery power and other information. When the load of the motor module changes or the battery power is too low, the display module will remind the user to adjust the cleaning mode or charge. In low-power mode, the display module will reduce the brightness or stop displaying to further save power. When the device resumes working mode, the display module will return to full brightness and provide status feedback on the current operation.

[0105] By analyzing historical data of multiple brushings, the deep learning algorithm can identify the user's brushing habits and the cleaning needs of different parts, and automatically select different driving modes. For example, when the user is cleaning the more fragile gums, the system will automatically lower the vibration intensity to reduce the stimulation to the gums; while when cleaning the surface of the teeth, the system will increase the vibration intensity to improve cleaning efficiency.

[0106] See also Figure 1 , an embodiment of the present invention provides: a storage medium and a device for an electric toothbrush, wherein the storage medium stores a computer program, and when the computer program is loaded into a computing device, the computing device executes the method for waking up the electric toothbrush according to any one of claims 1 to 3;

[0107] The electric toothbrush device is provided with a storage unit, the storage unit being used to store the wake-up method logic of the electric toothbrush according to any one of claims 1 to 3;

[0108] The electric toothbrush device is also provided with an execution unit for calling the wake-up method logic in the storage unit and activating the electric toothbrush through the main control unit;

[0109] The electric toothbrush device is also provided with a data interaction unit, which is wirelessly connected to the user terminal device and is used to update the wake-up strategy parameters, synchronize user usage data and remotely wake up the electric toothbrush;

[0110] Furthermore, the user connects the electric toothbrush to the smart home system through the collection APP, uploads the wake-up strategy to the storage medium, and sets the scene linkage and conditions: when the electric toothbrush slides, the LED light on the bathroom mirror lights up, and the usage time record is displayed on the mobile phone APP; when the user picks up the electric toothbrush and completes the tilting action, the system determines that the wake-up condition is met through the microcontroller unit and activates the main control unit, and the main control unit sends a wake-up signal to the smart home device through the wireless communication module; when the user finishes brushing and puts it back on the charging base, the system detects that the gravity change stops, controls the motor to stop vibrating, and switches the device to low-power standby mode, and the linkage device is also turned off synchronously;

[0111] The storage medium pre-stores the operation logic and wake-up method of the electric toothbrush, including: preset parameters of multi-layer gravity change thresholds; wake-up strategies (such as user-personalized operation models); deep learning algorithm model files for wake-up judgment of the microcontroller unit; after the system loads the program in the storage medium, it starts to execute the automatic wake-up logic: obtain acceleration data through a three-axis acceleration sensor and input it into the deep learning algorithm in real time; extract features from the data according to the model parameters to determine whether the wake-up conditions set by the user are met; when the system detects that the wake-up conditions are met, it activates the toothbrush by calling the main control logic module; calls the power management program to provide stable current to the motor module and display module; optimizes the power supply status of unused modules through the low-power mode program; in the software update scenario, the user uploads the new wake-up strategy to the storage medium through the collection APP, and the system automatically restarts to load the new logic to ensure the flexibility and scalability of the wake-up method.

[0112] See also Figure 1 , an embodiment provided by the present invention: a wake-up device for an electric toothbrush, the wake-up device comprising: an environmental dynamic interference filtering module, the environmental dynamic interference module is connected to a three-axis acceleration sensor and a data acquisition module through an electrical signal line, the environmental dynamic interference filtering module is used to remove vibration data with a frequency lower than 1 Hz based on a low-frequency vibration filtering threshold; identify sudden vibrations with a time span lower than 0.2 seconds based on a random interference judgment rule and filter the data; detect and remove periodic vibrations with a consistent frequency in a short period of time based on a repetitive pattern exclusion logic; and transmit the filtered effective acceleration data to the data acquisition module, the data acquisition module further acquires historical motion data and generates a time series of acceleration changes; the microcontroller unit performs a fusion analysis on the time series, and determines the triggering of the wake-up operation of the electric toothbrush by judging the acceleration directional characteristics, time trend characteristics and interference characteristics matching;

[0113] Furthermore, the system detects the real-time gravity change value x(t) and change direction of the user's operation through a three-axis acceleration sensor, and activates the environmental interference filtering module at the same time. The environmental interference filtering module has an embedded dynamic interference threshold model, including: low-frequency vibration filtering threshold: ignoring vibrations with a frequency lower than 1Hz (such as slight shaking of the washbasin); random interference judgment rule: identifying whether the time span of sudden vibration data is less than 0.2 seconds; repeated pattern exclusion logic: cumulatively calculating vibration patterns with consistent frequencies in a short period of time to eliminate possible periodic external influences (such as water hitting objects);

[0114] The system matches and analyzes the real-time gravity change value with the dynamic interference threshold model of the environmental interference filtering module and outputs the filtered effective acceleration data x eff(t) ;

[0115] The data acquisition module obtains the filtered valid data xeff(t) After that, with the historical data x hist Fusion, generate acceleration change time series x seq The microcontroller unit uses the following steps to make a wake-up decision:

[0116] 1. Extract x seq Directional characteristics to determine whether it complies with the user's tilt operation from horizontal to vertical;

[0117] 2. Analyze the continuity of user operation actions in combination with time series trends and eliminate unnatural actions (such as vibration caused by throwing or collision);

[0118] 3. Check whether there are any unrecognized interference features in the data. If so, the wake-up condition is determined to be unsatisfied.

[0119] Working principle: The wake-up method of the electric toothbrush uses a three-axis acceleration sensor to detect the gravity change of the device to intelligently trigger the device to wake up. First, the built-in three-axis acceleration sensor detects the gravity change of the electric toothbrush in real time. The three-axis acceleration sensor can sense the tilt or movement of the toothbrush, thereby determining whether the device is in use;

[0120] The real-time acceleration data collected by the three-axis acceleration sensor is transmitted to the microcontroller unit, which analyzes the data according to the preset threshold value to determine whether the gravity change meets the wake-up condition;

[0121] If the data meets the set wake-up strategy, the micro control unit sends a wake-up signal to the main control unit to start the operation module of the electric toothbrush device; if the data does not meet the wake-up adjustment, it automatically enters low-power standby mode, keeps the three-axis acceleration sensor in working state, and waits for the next operation.

[0122] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for waking up an electric toothbrush, characterized in that: The awakening method comprises the following steps: S1. Detect the gravity change value of the electric toothbrush through the built-in three-axis acceleration sensor and generate detection data in real time; S2. Compare the gravity change value with a preset multi-layer gravity change threshold group to determine whether a trigger condition is met, wherein the multi-layer gravity change threshold group includes: a static threshold, a dynamic threshold, and a directional threshold; S3. When it is detected that the gravity change value meets the trigger condition, the data acquisition module is started, and the data acquisition module dynamically adjusts the sampling frequency according to the adaptive sampling strategy to collect current real-time acceleration data, historical trend data and user behavior pattern data; S4, the micro control unit performs a fusion analysis on the collected real-time data and historical data, uses a deep learning algorithm to match the data features, and determines whether the real-time data conforms to a preset multi-dimensional wake-up strategy, wherein the multi-dimensional wake-up strategy includes: a user-personalized wake-up mode, a handheld state judgment based on behavioral characteristics, and dynamic environment interference filtering; S5. When the preset multi-dimensional wake-up strategy is met, a wake-up signal is sent to the main control unit to activate the operation module of the electric toothbrush; S6. When the wake-up condition is not met, the electric toothbrush is switched to a low-power standby mode optimized for energy saving, wherein the low-power standby mode achieves minimum power consumption by dynamically adjusting power distribution.

2. The method for waking up an electric toothbrush according to claim 1, characterized in that: The user-personalized wake-up mode of the multi-dimensional wake-up strategy includes: User behavior model based on historical usage data and operating habits; Dynamically adjust threshold range to adapt to changes in user operations; Strategy parameters optimized in real time via machine learning methods.

3. The method for waking up an electric toothbrush according to claim 1, characterized in that: The low power standby mode includes: Periodically activate the three-axis acceleration sensor to detect data; Stop the power supply to the motor and display module, and reduce the operating frequency of the main control unit; In standby mode, only the sensor, low power management module and data processing module are kept in minimum energy consumption operation.

4. A wake-up device for an electric toothbrush, characterized in that: The awakening device comprises: A three-axis acceleration sensor is used to detect the gravity change value of the electric toothbrush and generate detection data; A data acquisition module is connected to the electrical signal line of the three-axis acceleration sensor and is used to collect real-time data and historical data when it is detected that the gravity change value exceeds a preset gravity change threshold group; A microcontrol unit is connected to the data acquisition module for analyzing the collected data based on a deep learning algorithm and determining whether to wake up the electric toothbrush based on a preset multi-dimensional wake-up strategy; A main control unit, which is in communication with the micro control unit and is used to activate the operation module of the electric toothbrush after receiving the wake-up signal; The low power management module is connected to the micro control unit and the main control unit via electrical signal lines respectively, and is used to control the main control unit to enter a low power mode when the wake-up condition is not met.

5. The electric toothbrush wake-up device according to claim 4, characterized in that: The three-axis acceleration sensor is installed on the handle of the electric toothbrush and is connected to the data acquisition module through a flexible cable. The flexible cable is coated with an anti-interference shielding layer.

6. The wake-up device for an electric toothbrush according to claim 4, characterized in that: The micro control unit further comprises: A data storage module, used to store historical motion data and wake-up strategy parameters; Algorithm processing unit, used to perform data feature extraction and strategy matching analysis; Communication interface for receiving updated wake-up strategies and behavior models from external devices.

7. An electric toothbrush device, characterized in that: The electric toothbrush device comprises the electric toothbrush wake-up device according to any one of claims 4 to 6, and the electric toothbrush device further comprises: The motor module is connected to the main control unit through a signal line and is used to perform vibration actions after receiving instructions from the main control unit; The power management module is connected to the low power management module through an electrical signal line and is used to dynamically adjust the power supply voltage and current according to the standby mode and the operating mode; The display module is connected to the main control unit through an electrical signal line and is used to display the current operating status and remaining power information.

8. The electric toothbrush device according to claim 7, characterized in that: The driving frequency of the motor module is adjusted in real time according to the change of motor load. The load change is determined by the microcontroller unit through real-time monitoring of current changes. The motor driving strategy is optimized through a deep learning algorithm to adapt to different tooth cleaning needs.

9. A storage medium for an electric toothbrush, characterized in that: The storage medium stores a computer program, and when the computer program is loaded into a computing device, the computing device executes the method for waking up an electric toothbrush as described in any one of claims 1 to 3.

10. The electric toothbrush device according to claim 7, characterized in that: The electric toothbrush device is provided with a storage unit, the storage unit being used to store the wake-up method logic of the electric toothbrush according to any one of claims 1 to 3; The electric toothbrush device is also provided with an execution unit for calling the wake-up method logic in the storage unit and activating the electric toothbrush through the main control unit; The electric toothbrush device is also provided with a data interaction unit, which is wirelessly connected to the user terminal device and is used to update the wake-up strategy parameters, synchronize user usage data and remotely wake up the electric toothbrush.

Images