Intelligent wearable device, and power supply system and power supply method thereof

Abstract

The invention belongs to the field of intelligent wearable devices, and discloses an intelligent wearable device and a power supply system and method thereof, and the system comprises a power generation module which is used for providing power supply electric energy in different power supply modes; the energy management module is used for monitoring the power supply electric energy provided by the power generation module and distributing target electric energy in the power supply electric energy to the power consumption module according to actual power consumption data fed back by the power consumption module; and the data processing and analysis module is used for predicting the predicted electric energy to be provided by the power generation module in the target time period according to the power supply electric energy and the use habits of the user, and adjusting the power supply strategy of the power generation module according to the predicted electric energy. After power supply electric energy and actual power consumption data are monitored, target electric energy in the power supply electric energy is distributed to a power consumption module according to the actual power consumption data, predicted electric energy in a target time period is predicted according to the power supply electric energy and use habits of a user, and a power supply strategy of a power generation module is adjusted according to the predicted electric energy. Therefore, the cruising ability and the experience feeling are improved.

Description

Technical Field

[0001] The present invention relates to the field of electronic circuits, and in particular to an intelligent wearable device, and a power supply system and a power supply method thereof. Background Art

[0002] As smart watches have more functions such as health monitoring, exercise tracking, and smart notifications, their power consumption has also increased, requiring charging once or more per day. Existing smart watches usually rely on a single lithium battery for power supply, which can easily lead to insufficient battery life and inability to charge quickly, resulting in a poor experience when worn.

[0003] Therefore the prior art still needs to be improved and enhanced. Summary of the invention

[0004] The main purpose of the present invention is to provide a smart wearable device, and a power supply system and a power supply method thereof, aiming to solve the problems of poor battery life and poor experience of smart watches in the prior art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a power supply system for a smart wearable device, comprising: a power generation module, an energy management module, a data processing and analysis module, and a power consumption module; the power generation module, the energy management module, the data processing and analysis module, and the power consumption module are connected in sequence;

[0007] The power generation module is used to provide power supply energy under different power supply modes;

[0008] The energy management module is used to monitor the power supply energy provided by the power generation module, and allocate the target power in the power supply energy to the power consumption module according to the actual power consumption data fed back by the power consumption module;

[0009] The data processing and analysis module is used to predict the predicted power to be provided by the power generation module within a target time period based on the supplied power and the user's usage habits, and adjust the power supply strategy of the power generation module based on the predicted power.

[0010] In some embodiments, the energy management module is also connected to a battery;

[0011] The energy management module is also used to transmit the remaining electric energy to the battery for storage; and to monitor the power state of the battery so as to control the disconnection of the charge and discharge circuit when the battery reaches a preset power level.

[0012] In some embodiments, the power supply system of the smart wearable device further includes: a display module and a power sharing module; the display module is connected to the data processing and analysis module and the power sharing module respectively, and the power sharing module is also connected to the power consumption module;

[0013] The data processing and analysis module is further used to calculate the expected endurance time based on the actual power consumption data and the power supply energy;

[0014] The power sharing module is used to transmit the power supply energy to other smart wearable devices via wireless transmission;

[0015] The display module is used to display the expected battery life, power status, usage habits and historical data;

[0016] The historical data includes historical power generation data, historical power consumption data and historical usage data.

[0017] In some embodiments, the energy management module includes: a power monitoring unit, a power distribution unit and a battery power management unit; the power monitoring unit is connected to the power generation module, the power consumption module and the power distribution unit, the battery power management unit is connected to the battery, and the power distribution unit is also connected to the power consumption module, the display module and the power sharing module;

[0018] The power monitoring unit is used to monitor the power supply energy of the power generation module under different power supply modes;

[0019] The power distribution unit is used to distribute the corresponding target power in the supply power to the power consumption module, the display module and the power sharing module according to the actual power consumption data fed back by the power consumption module;

[0020] The battery power management unit is used to monitor the power state of the battery, so as to control the disconnection of the charge and discharge circuit when the battery reaches a preset power level.

[0021] In some embodiments, the data processing and analysis module includes: a user behavior analysis unit and an algorithm processing unit;

[0022] The algorithm processing unit is connected to the user behavior analysis unit and the energy management module respectively, and the user behavior analysis unit is also connected to the power consumption module;

[0023] The user behavior analysis unit is used to analyze the usage habits of the user and adjust the power allocation priority of the power consumption module according to the usage habits;

[0024] The algorithm processing unit is used to predict the predicted power provided by the power generation module within the target time period according to the usage habits and the power supply power, and adjust the power generation module to adopt a corresponding power supply mode according to the predicted power.

[0025] In some embodiments, the power generation module includes: a solar power generation unit, a kinetic power generation unit, a thermoelectric power generation unit, a sweat power generation unit, and a wireless charging transmitter unit;

[0026] The solar power generation unit, the kinetic energy power generation unit, the thermoelectric power generation unit, the sweat power generation unit and the wireless charging transmitting unit are all connected to the energy management module, and the wireless charging transmitting unit is also connected to the power sharing module;

[0027] The solar power generation unit is used to convert solar energy into the power supply electric energy; the kinetic energy power generation unit is used to convert kinetic energy into the power supply electric energy when the current smart wearable device is in motion;

[0028] The thermoelectric power generation unit is used to monitor the temperature of the user's wrist and use the temperature to provide the power supply energy;

[0029] The sweat power generation unit is used to detect sweat at the wrist and use the sweat to provide the power supply energy;

[0030] The wireless charging transmitting unit is used to receive power from other smart wearable devices when the current smart wearable device is in the wireless charging mode.

[0031] In a second aspect, an embodiment of the present application provides a power supply method for a smart wearable device, comprising:

[0032] Collect information data of power generation modules;

[0033] Constructing a first pre-built model according to the information data, and using the first pre-built model to predict the predicted electric energy to be provided by the power generation module within the target time period, and the actual power consumption data of the power consumption module;

[0034] After the second pre-built model is trained with the information data, the power supply strategy of the power generation module is adjusted according to the user's usage habits using the trained second pre-built model.

[0035] In some embodiments, the power supply method of the smart wearable device further includes:

[0036] Determining whether the power generation module is operating normally;

[0037] If the power generation module cannot work normally, determine whether the power supply provided by the power generation module matches the actual power consumption data monitored by the power consumption module;

[0038] If the power supply energy does not match the actual power consumption data, controlling the backup battery module to supply power to the power consumption module;

[0039] If the power generation module works normally, the backup battery is controlled to supply power to the power consumption module.

[0040] In some embodiments, the method of using the trained second pre-built model to adjust the power supply strategy of the power generation module according to the user's usage habits includes:

[0041] Generate a plurality of first power supply strategies according to the usage habits using the trained second pre-built model;

[0042] After establishing an objective function for the genetic algorithm, respectively calculating the performance of the plurality of first power supply strategies according to the objective function;

[0043] After obtaining the optimal power supply decision among the plurality of first power supply strategies by comparison, the optimal power supply decision is cross-referenced and mutated to obtain a target power supply decision, so as to use the target power supply decision to power the current smart wearable device;

[0044] Among them, the performance includes: minimizing costs, maximizing efficiency, balancing loads, reliability optimization and multi-objective optimization; the information data includes: power generation data, historical power consumption data and usage habits.

[0045] In a third aspect, an embodiment of the present application provides a smart wearable device, comprising: a memory, a processor, a display, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the power supply method for the smart wearable device as described above.

[0046] In some embodiments, the constant power supply control module is triggered by a single chip microcomputer interval, so as to monitor the voiceprint information within the first preset range and the image information within the second preset range at preset intervals.

[0047] The present invention provides an intelligent wearable device, and a power supply system and a power supply method thereof. After the system monitors the power supply energy through a power generation module, it distributes the target power in the power supply energy to the power consumption module according to the actual power consumption data fed back by the power consumption module, and predicts the predicted power within a target time period according to the power supply energy and the user's usage habits, and then adjusts the power supply strategy of the power generation module according to the predicted power, so as to achieve reasonable distribution of the power supply energy and adjust the power supply strategy of the power generation module according to the predicted predicted power, thereby effectively improving the battery life of the smart watch, optimizing the power supply strategy, and further improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 A schematic diagram of an architecture of a power supply system for a smart wearable device provided by the present invention;

[0050] Figure 2 A block diagram of an implementation of the power supply system for the smart wearable device provided by the present invention;

[0051] Figure 3 A schematic diagram of a flow chart of a power supply method for a smart wearable device provided by the present invention;

[0052] Figure 4 A schematic diagram of a flow chart of adjusting a power supply strategy in a power supply method for a smart wearable device provided by the present invention;

[0053] Figure 5 A schematic diagram of a flow chart of a power supply strategy in the power supply method for a smart wearable device provided by the present invention;

[0054] Figure 6 A schematic diagram of an application flow of a power supply strategy in the power supply method for a smart wearable device provided by the present invention.

[0055] Figure numerals: 10: power generation module; 11: solar power generation unit; 12: kinetic power generation unit; 13: thermoelectric power generation unit; 14: sweat power generation unit; 15: wireless charging transmission unit; 20: energy management module; 21: power monitoring unit; 22: power distribution unit; 23: battery power management unit; 30: data processing and analysis module; 31: user behavior analysis unit; 32: algorithm processing unit; 40: power consumption module; 50: battery; 60: display module; 70: power sharing module. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0057] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0058] Hereinafter, the terms "including", "having" and their cognates used in various embodiments of the present application are intended only to indicate specific features, numbers, steps, operations, elements, components or a combination of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components or a combination of the foregoing items or increasing the possibility of one or more features, numbers, steps, operations, elements, components or a combination of the foregoing items. In addition, the terms "first", "second", "third" and the like are only used to distinguish descriptions and cannot be understood as indicating or implying relative importance.

[0059] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present application.

[0060] The present invention provides a smart wearable device, and a power supply system and a power supply method thereof. After the system monitors the power supply energy through the power generation module, according to the actual power consumption data fed back by the power consumption module, the target power in the power supply energy is allocated to the power consumption module, and according to the power supply energy and the user's usage habits, the predicted power in the target time period is predicted, and then the power supply strategy of the power generation module is adjusted according to the predicted power, so as to achieve reasonable distribution of the power supply energy, and adjust the power supply strategy of the power generation module according to the predicted predicted power, thereby effectively improving the endurance of the smart watch, optimizing the power supply strategy, and further improving the user experience.

[0061] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments in this application can be combined with each other. In addition, unless explicitly limited or contradictory to the context, the specific steps included in the method recorded in this application are not necessarily limited to the recorded order, but can be performed in any order or in parallel.

[0062] The following describes the design of the power supply method for the smart wearable device through specific exemplary embodiments. It should be noted that the following embodiments are only used to explain the technical solution of the invention and are not specifically limited:

[0063] See also Figure 1 The embodiment of the present application provides a power supply system for a smart wearable device, including: a power generation module 10, an energy management module 20, a data processing and analysis module 30, and a power consumption module 40; the power generation module 10, the energy management module 20, the data processing and analysis module 30 and the power consumption module 40 are connected in sequence.

[0064] The power generation module 10 is used to provide power supply energy in different power supply modes.

[0065] The energy management module 20 is used to monitor the power supply energy provided by the power generation module 10 and distribute the target power in the power supply energy to the power consumption module 40 according to the actual power consumption data fed back by the power consumption module 40 .

[0066] The data processing and analysis module 30 is used to predict the power to be provided by the power generation module 10 within the target time period according to the power supply energy and the user's usage habits, and adjust the power supply strategy of the power generation module 10 according to the predicted power.

[0067] In this application, the smart wearable device takes a smart watch as an example. The multiple power generation devices in the smart watch are referred to as power generation modules 10. The power consumption module 40 includes a display unit (such as an OLED screen, etc.), a sensor unit (such as a heart rate sensor, a motion sensor, and an acceleration sensor, etc.), a processor unit, and other power consumption units (such as a motor and a speaker, etc.).

[0068] The display module 60 is mainly used to display time and notifications, etc. The sensor module is mainly used to monitor physiological parameters and motion data, and the processor module is responsible for running the operating system and applications and performing data operations. The power supply modes include: kinetic power generation mode, solar power generation mode, thermoelectric power generation mode, sweat power generation mode and wireless charging mode.

[0069] Exemplarily, first, after the smart watch is in working state, under different power supply modes, different power generation units in the power generation module 10 adopt different power generation methods to provide corresponding power supply energy. For example, in the motion state, kinetic energy power generation, thermal energy power generation and sweat power generation can be used. When used during the day, solar energy power generation can also be used.

[0070] Then, the energy management module 20 monitors the power supply provided and detects the power generated by the various power generation devices in the power generation module 10. At the same time, the energy management module 20 will also intelligently allocate and manage the power of different power generation sources according to the actual power consumption data fed back by the sensor in the power consumption module 40, that is, allocate the target power in the power supply to the power consumption module 40 to meet the needs of various functional modules of the watch, ensuring that the power consumption requirements of each power consumption module 40 are met, so that the smart watch can operate in a variety of power generation modes, effectively improving the battery life and user experience.

[0071] Secondly, the data processing and analysis module 30 will combine cloud computing with user wearing behavior data analysis to intelligently allocate the power generation of different power generation devices (i.e., the power generation module 10), that is, based on the power supply energy and the user's usage habits, predict the predicted power to be provided by the power generation module 10 within the target time period, for example, predict the predicted power to be provided by the power generation module 10 within the next week, and then adjust the power supply strategy of the power generation module 10 according to the predicted power. For example, if the predicted power is not enough to meet the predicted power consumption data within this week, then according to the usage habits, important devices can be powered first, thereby achieving the goal of improving the battery life of the smart watch while satisfying the user's main usage functions, further improving the user experience.

[0072] It can be understood that in the present application, the power supply energy and the actual power consumption data are first monitored separately, that is, the usage and supply power are monitored separately, and the power supply energy is allocated according to the actual power consumption data, thereby effectively improving the battery life. Then, based on the power supply energy and the user's usage habits, the predicted power that can be provided within the target time period is predicted to adjust the power supply strategy of the power generation module 10, thereby effectively improving the user experience.

[0073] For example, see also Figure 2 In one implementation method, the power generation module 10 includes: a solar power generation unit 11, a kinetic energy power generation unit 12, a thermoelectric power generation unit 13, a sweat power generation unit 14 and a wireless charging transmission unit 15.

[0074] The solar power generation unit 11 , the kinetic energy power generation unit 12 , the thermoelectric power generation unit 13 , the sweat power generation unit 14 and the wireless charging transmitting unit 15 are all connected to the energy management module 20 , and the wireless charging transmitting unit 15 is also connected to the power sharing module 70 .

[0075] The solar power generation unit 11 is used to convert solar energy into power supply energy; the kinetic energy power generation unit 12 is used to convert kinetic energy into power supply energy when the current smart wearable device is in motion; the thermoelectric power generation unit 13 is used to monitor the temperature of the user's wrist and use the temperature to provide power supply energy; the sweat power generation unit 14 is used to detect sweat on the wrist and use the sweat to provide power supply energy; the wireless charging transmitting unit 15 is used to receive power supply energy from other smart wearable devices when the current smart wearable device is in wireless charging mode.

[0076] Among them, the solar power generation unit 11, the kinetic energy power generation unit 12, the thermoelectric power generation unit 13, the sweat power generation unit 14 and the wireless charging transmitter unit 15 can be respectively called a solar power generation device, a kinetic energy power generation device, a thermoelectric power generation device, a sweat power generation device and a wireless charging transmitter device.

[0077] Exemplarily, according to the actual wearing condition of the wearer, the multi-generation device (i.e., the power generation module 10) in the smart watch will automatically start and start generating current, and the generated current will flow to the energy management module 20. For example, when the motion sensor detects that the user is running, kinetic energy generation can be enabled first, and the communication module can be adjusted to reduce power consumption.

[0078] When using a smart watch during the day, a solar power generation device can be used to convert electrical energy into power supply energy; a kinetic energy power generation device drives the pendulum inside the smart watch through the wearer's movement while wearing it, causing it to swing left and right to generate kinetic energy, which is then converted into electrical energy through some means (such as electromagnetic induction).

[0079] Thermoelectric generators, also known as thermoelectric generators or Seebeck effect generators, generate electricity by using the temperature difference between the human body and the electrodes on the device. This is done by exposing one end of the device to a high temperature environment and the other end to a low temperature environment. For example, the thermoelectric generator of a smart watch is usually installed between the strap and the case, and generates electricity by using the temperature difference between the human body and the environment. In addition, a certain temperature difference is required to generate effective electricity. The greater the temperature difference, the more electricity is generated.

[0080] The sweat power generation device generates electricity through the chemical reaction between lactic acid and oxygen in the sweat on the fingers or wrists. For example, micro sensors are embedded in the strap of a smart watch, which can capture lactic acid in sweat. Then, when sweating is detected, the electrodes near the sensor will export the generated electrons and power the smart watch through the circuit.

[0081] The wireless charging transmitter charges via wireless transmission technology (such as the Qi standard).

[0082] The electricity generated by different power generation devices in the power generation module 10 of the present application can complement each other, thereby increasing the reliability and diversity of power generation.

[0083] Furthermore, the power generation module 10 may also include: a swinging lump power generation device.

[0084] Exemplarily, a pendulum generator is a device that uses mechanical motion to generate electrical energy. Its core principle is to convert kinetic energy into electrical energy through motion, usually using electromagnetic induction to achieve this process.

[0085] The specific power generation process is as follows: When the wearer moves his arm, the internal pendulum (i.e. a small weight) swings inside the watch, and this swinging generates kinetic energy. The pendulum then interacts with a fixed coil (usually fixed inside the watch case) through a magnet or other conductor (such as a copper coil). When the pendulum swings, the magnet or conductor cuts the magnetic field in the coil, generating an induced electromotive force. The induced electromotive force causes current to flow in the fixed coil, thereby generating electrical energy. This electrical energy can be stored in the battery 50 or directly power the device.

[0086] For example, in one implementation method, the energy management module 20 is also connected to the battery 50. The energy management module 20 is also used to transfer the remaining electric energy to the battery 50 for storage; and monitor the power state of the battery 50 to control the disconnection of the charge and discharge circuit when the battery 50 reaches a preset power.

[0087] The remaining power refers to the remaining power after deducting the actual power consumption data from the supplied power.

[0088] Exemplarily, when it is compared that the supplied power is greater than the actual power consumption data, the battery 50 power management system in the energy management module 20 will transmit the remaining power to the battery 50 so that the battery 50 can store the remaining power. In addition, when the smart watch is in a dormant or turned off state, the excess power (remaining power) will be directed to the battery 50 power management system for storage, in case the power generated by all power generation devices cannot meet the power consumption of the smart watch.

[0089] However, when the energy management module 20 monitors that the power state of the battery 50 reaches a preset power level, for example, when it reaches a preset maximum threshold of 80%, it controls the disconnection of the charging circuit to prevent overcharging, or when it reaches a preset minimum threshold of 20%, it controls the disconnection of the discharging circuit to prevent over-discharging.

[0090] For example, see Figure 2In one implementation method, the energy management module 20 includes: a power monitoring unit 21, a power distribution unit 22 and a battery power management unit 23; the power monitoring unit 21 is connected to the power generation module 10, the power consumption module 40 and the power distribution unit 22, the battery power management unit 23 is connected to the battery 50, and the power distribution unit 22 is also connected to the power consumption module 40, the display module 60 and the power sharing module 70.

[0091] The power monitoring unit 21 is used to monitor the power supply energy of the power generation module 10 under different power supply modes; the power distribution unit 22 is used to distribute the corresponding target power in the power supply energy to the power consumption module 40, the display module 60 and the power sharing module 70 according to the actual power consumption data fed back by the power consumption module 40; the battery power management unit 23 is used to monitor the power status of the battery 50 so as to control the disconnection of the charging and discharging circuit when the battery 50 reaches a preset power level.

[0092] Exemplarily, the main task of the energy management module 20 is to ensure that the various functional modules of the smart watch always have sufficient power supply and can efficiently use and store energy. At the same time, it can also be responsible for real-time monitoring and management of power distribution and storage to ensure the normal operation of various functions of the smart watch.

[0093] Among them, the power monitoring unit 21 monitors and records in real time the power supply energy provided by the corresponding power generation device in the power generation module 10 under different power supply modes. For example, in the kinetic energy power generation mode, it monitors and records the power output of the kinetic energy power generation device in real time for subsequent analysis and optimization.

[0094] Then, the power distribution unit 22 will intelligently distribute and manage the electric energy of different power generation devices according to the actual power consumption data fed back in real time by the sensors installed on each device in the power consumption module 40, that is, distribute the electric energy (target electric energy) required by each power consumption module 40 to functional modules such as the power consumption module 40, the display module 60 and the power sharing module 70 to meet the needs of various functional modules of the watch. Moreover, in the present application, the power distribution unit 22 can also reasonably distribute electric energy according to the user's usage habits under the condition of limited power, giving priority to meeting the power demand of key functions (such as health monitoring, etc.) or high-frequency use. For example, in certain time periods, priority is given to powering certain modules with high frequency of use, thereby improving the user's experience.

[0095] Furthermore, the battery power management unit 23 monitors the power status of the battery 50 in real time, so as to control the disconnection of the charge and discharge circuit when the battery 50 reaches a preset power level, for example, when the preset maximum threshold or the preset minimum threshold is reached, the charge and discharge circuit is controlled to be disconnected, thereby effectively ensuring that the battery 50 operates within a safe range.

[0096] It can be understood that in the present application, the power supply energy provided by the power generation module 10 is monitored by the power monitoring unit 21, and the power distribution unit 22 distributes power to functional modules such as the power consumption module 40, the display module 60 and the power sharing module 70 according to the actual power consumption data of the power consumption module 40. The battery power management unit 23 monitors the power status of the battery 50 in real time to monitor that when the battery 50 reaches a preset power level, it controls the disconnection of the charge and discharge circuit, thereby realizing power distribution and charge and discharge protection, and improving the service life of the battery 50.

[0097] For example, in one implementation method, the data processing and analysis module 30 includes: a user behavior analysis unit 31 and an algorithm processing unit 32; the algorithm processing unit 32 is connected to the user behavior analysis unit 31 and the energy management module 20 respectively, and the user behavior analysis unit 31 is also connected to the power consumption module 40.

[0098] The user behavior analysis unit 31 is used to analyze the user's usage habits and adjust the power allocation priority of the power consumption module 40 according to the usage habits; the algorithm processing unit 32 is used to predict the predicted power provided by the power generation module 10 within the target time period according to the usage habits and the power supply energy, and adjust the power generation module 10 to adopt a corresponding power supply mode according to the predicted power energy.

[0099] Exemplarily, the data processing and analysis module 30 mainly processes and analyzes the collected data, analyzes the user's usage habits and historical data, helps the system better understand the user's behavioral habits, intelligently optimizes the power allocation strategy, and optimizes the power management strategy accordingly, thereby improving battery life and user experience.

[0100] Among them, the user behavior analysis unit 31 adjusts the power allocation priority of the power consumption module 40 by analyzing the user's usage habits, such as which time periods the smart watch is used, or which functional modules are used more frequently. In this case, the high-frequency functional modules can be powered first.

[0101] The algorithm processing unit 32 predicts future power output and demand based on the machine learning algorithm according to usage habits and power supply energy, that is, predicts the predicted power provided by the power generation module 10 within the target time period, and adjusts the power generation module 10 to adopt the corresponding power supply mode according to the predicted power, and formulates the optimal power distribution strategy to maximize the battery life.

[0102] Furthermore, in an implementation method, the power supply system of the smart wearable device also includes: a power control switch and a backup battery module, and the power control switch is used to realize automatic switching between the power generation module 10 and the backup battery module.

[0103] The backup battery module includes at least one output interface of the backup battery module and a power input interface of other paired power generation modules 10. The main function of the backup battery module is to store excess power and provide power support to the power consumption module 40 matched with it when other power generation modules fail or power supply is insufficient, so as to ensure continuous power supply of the smart watch.

[0104] Exemplarily, the process of powering the backup power module is as follows:

[0105] When the power level reaches the preset minimum threshold of 20%, a voice or text alarm will be issued immediately to indicate that the power is low and to inform that the backup battery 50 is about to be activated. Then, the power control switch will be used to switch to the high-capacity backup battery 50 for power supply. In addition, the machine learning algorithm will be used to record the battery 50 consumption pattern of all types of batteries 50 during use, so as to optimize the power usage and the backup battery 50 calling strategy.

[0106] Furthermore, while the backup battery 50 is in use, the system will continue to monitor the power level of the backup battery 50 and issue an alarm again when the power level of the backup battery 50 is also lower than a certain threshold (e.g., 20%). If the power level of the backup battery 50 is low or exhausted, the monitoring system and notification module in the energy management module 20 will enter the working state, and the current, voltage, and temperature sensors installed in the monitoring module will collect and analyze data such as power input, battery 50 power level, and load demand in real time.

[0107] When the power level of the battery 50 is detected to be lower than a certain level, an alarm is immediately triggered to remind the wearer to charge the backup battery 50 in time through an external power source. In addition, when the smart watch is connected to the mobile phone APP, the power consumption will be monitored and alarmed in real time, and the notification information will be transmitted to the bound mobile phone. The user can remotely manage the power control function through the software.

[0108] For example, in one implementation method, the power supply system of the smart wearable device also includes: a display module 60 and a power sharing module 70; the display module 60 is connected to the data processing and analysis module 30 and the power sharing module 70 respectively, and the power sharing module 70 is also connected to the power consumption module 40.

[0109] The data processing and analysis module 30 is also used to calculate the expected battery life based on the actual power consumption data and the power supply energy. The power sharing module 70 is used to transmit the power supply energy to other smart wearable devices via wireless transmission. The display module 60 is used to display the expected battery life, power status, usage habits and historical data.

[0110] Among them, historical data includes: historical power generation data, historical power consumption data and historical usage data.

[0111] Exemplarily, after the actual power consumption data and the power supply are monitored, the expected battery life is calculated based on the actual power consumption data and the power supply, and displayed on the display module 60. At the same time, the display module 60 also displays the power status, usage habits and historical data, and displays the source of the power generation device, power usage and suggestions to the user in real time. In addition, the display module 60 also allows the user to adjust settings, select priorities, view usage habits and historical data, etc.

[0112] The power sharing module 70 manages the information interaction and power sharing rules between the power generation modules 10 in multiple smart wearable devices. For example, wireless connection methods such as Bluetooth or Wi-Fi can be used to achieve information exchange between different smart watches. In addition, wireless transmission technologies such as electromagnetic induction and magnetic resonance coupling can be used to transmit the current smart wearable device to other smart wearable devices.

[0113] See also Figure 3 , the embodiment of the present application provides a power supply method for a smart wearable device, comprising steps S100-S300:

[0114] S100 , collecting information data of the power generation module 10 .

[0115] Among them, information data includes: power generation data, historical power consumption data and usage habits.

[0116] Exemplarily, information data such as power generation data, historical power consumption data, and usage habits of the power generation module 10 are collected, so as to subsequently use the information data for power matching and power supply strategy adjustment.

[0117] S200 , constructing a first pre-built model according to the information data, and using the first pre-built model to predict the predicted electric energy to be provided by the power generation module 10 within the target time period, and the actual power consumption data of the power consumption module 40 .

[0118] The first pre-built model includes prediction models, such as linear regression, logistic regression, support vector machine (SVM), neural network and other models.

[0119] Exemplarily, after collecting the information data, a prediction model is constructed based on the information data, and the prediction model is used to predict the output of each power generation mode and the power consumption data of each functional module (including the power consumption module 40) within a future period of time (target time).

[0120] S300: After training the second pre-built model with the information data, the trained second pre-built model is used to adjust the power supply strategy of the power generation module 10 according to the user's usage habits.

[0121] The second pre-built model is a decision tree model, which divides the data set (information data in this application) through a series of decision rules (similar to a tree structure) to finally form a decision tree.

[0122] Exemplarily, after obtaining the information data, the decision tree model is trained using information data such as historical power generation data and historical usage data. Then, the trained decision tree model is used to adjust the power supply strategy of the power generation module 10 according to the user's usage habits. For example, if the user often uses the watch during the day, the decision tree may give priority to solar power generation as the main power source. Then, based on the user's usage habits and current environmental conditions (such as light intensity, temperature, etc.), the power output of solar power generation in the next day is predicted.

[0123] It can be understood that in this application, after building a prediction model and training a decision tree model based on the collected information data, the prediction model is used to predict the predicted electric energy and actual power consumption data within the target time period, and the decision tree model is used to adjust the power supply strategy of the power generation module 10 according to the user's usage habits, which significantly improves the operating efficiency and battery life of the smart watch. At the same time, through the flexible configuration and management of multiple power generation devices, the user experience is improved, and it has broad market application prospects.

[0124] For example, see Figure 4 In one implementation method, the trained second pre-built model is used to adjust the power supply strategy of the power generation module 10 according to the user's usage habits, including:

[0125] S301. Generate a plurality of first power supply strategies according to usage habits using a trained second pre-built model.

[0126] S302: After establishing an objective function for the genetic algorithm, respectively calculate the performance of several first power supply strategies according to the objective function.

[0127] S303: After obtaining the optimal power supply decision among the plurality of first power supply strategies by comparison, the optimal power supply decision is cross-linked and mutated to obtain a target power supply decision, so as to use the target power supply decision to power the current smart wearable device.

[0128] Among them, the performance includes: minimizing cost, maximizing efficiency, balancing load, reliability optimization and multi-objective optimization. Minimizing cost is to minimize the total cost of power distribution; maximizing network efficiency is to improve the transmission efficiency of the entire power grid; minimizing loss is to reduce energy loss in the power distribution process; balancing load is to make the load between nodes as uniform as possible; reliability optimization is to improve the reliability of the power system; multi-objective optimization is to combine multiple considerations, such as cost, loss and reliability.

[0129] Exemplarily, after the second pre-built model is trained with information data, a group of power distribution strategies for multiple power generation devices are randomly generated according to the user's usage habits, that is, a plurality of first power supply strategies are generated.

[0130] Then, a genetic algorithm is used to allocate electricity and establish an objective function to maximize the battery life. The objective function needs to consider the efficiency of multiple power generation devices, module priority and user needs, and set constraints according to actual conditions. The performance of each power distribution strategy in several first power supply strategies is then evaluated based on the objective function, mainly by calculating and comparing the objective function values ​​under different strategies to determine which strategy is better. The evaluation objects include but are not limited to minimizing costs, maximizing efficiency, balancing loads, reliability optimization and multi-objective optimization.

[0131] Finally, the optimal power supply decision is obtained by comparing several first power supply strategies, that is, the power allocation strategy with the best overall performance is obtained, and the optimal power supply decision is crossed and mutated to obtain the target power supply decision, and steps S301-S303 are repeated until the preset fitness is reached, and then the final target power supply decision is used to power the current smart wearable device.

[0132] For example, see Figure 5 In one implementation method, the power supply strategy includes:

[0133] S400: Determine whether the power generation module 10 operates normally.

[0134] S500 , if the power generation module 10 cannot work normally, determine whether the power supply energy provided by the power generation module 10 matches the actual power consumption data monitored by the power consumption module 40 .

[0135] S600 , if the supplied power does not match the actual power consumption data, control the backup battery module to supply power to the power consumption module 40 .

[0136] S700 , if the power generation module 10 works normally, the backup battery 50 is controlled to supply power to the power consumption module 40 .

[0137] For illustration, please refer to Figure 6 , a power supply strategy in this application includes:

[0138] First, determine whether at least one power generation device in the power generation module 10 is working normally or started, so as to determine whether the smart watch starts working:

[0139] If it is determined that all power generation devices in the power generation module 10 cannot work normally, then continue to determine whether the power consumption module 40 is working normally. If it cannot work normally, the smart watch directly enters the sleep state. If it works normally, then determine whether the power supply energy provided by the power generation module 10 matches the actual power consumption data monitored by the power consumption module 40. If the power supply energy and the actual power consumption data do not match, the backup battery module supplies power to the power consumption module 40. Otherwise, the power consumption module 40 is directly used for power supply.

[0140] However, if it is determined that at least one power generation device is working properly in a certain power supply mode, that is, the power generation module 10 is working properly, the power supply energy is first boosted to the required voltage through the boost and voltage stabilization circuit, and it is also determined whether the power consumption module 40 is working properly. If it is not working properly, it is then determined whether the power of the backup battery 50 in the backup battery module is sufficient, that is, whether it exceeds the preset minimum threshold. If it is sufficient, the backup battery 50 is used for power supply, and if it is not sufficient, it is terminated. If the power consumption module 40 is working properly, the power consumption module 40 is directly used for power supply.

[0141] The present application also provides a smart wearable device. Exemplarily, the smart wearable device includes a processor and a memory, wherein the memory stores a computer program, and the processor runs the computer program to enable the smart wearable device to execute the above-mentioned power supply method for the smart wearable device or the functions of each module in the above-mentioned power supply system of the smart wearable device.

[0142] Among them, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU) and a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or at least one of other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., which can implement or execute the disclosed methods, steps and logic block diagrams in the embodiments of the present application.

[0143] The memory may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. Among them, the memory is used to store a computer program, and the processor can execute the computer program accordingly after receiving an execution instruction.

[0144] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A power supply system for a smart wearable device, characterized in that: include: A power generation module, an energy management module, a data processing and analysis module, and a power consumption module; the power generation module, the energy management module, the data processing and analysis module, and the power consumption module are connected in sequence; The power generation module is used to provide power supply energy under different power supply modes; The energy management module is used to monitor the power supply energy provided by the power generation module, and allocate the target power in the power supply energy to the power consumption module according to the actual power consumption data fed back by the power consumption module; The data processing and analysis module is used to predict the predicted power to be provided by the power generation module within a target time period based on the supplied power and the user's usage habits, and adjust the power supply strategy of the power generation module based on the predicted power.

2. The power supply system for the smart wearable device according to claim 1, characterized in that: The energy management module is also connected to the battery; The energy management module is also used to transmit the remaining electric energy to the battery for storage; and to monitor the power state of the battery so as to control the disconnection of the charge and discharge circuit when the battery reaches a preset power level.

3. The power supply system for the smart wearable device according to claim 1, characterized in that: Also includes: A display module and a power sharing module; the display module is connected to the data processing and analysis module and the power sharing module respectively, and the power sharing module is also connected to the power consumption module; The data processing and analysis module is further used to calculate the expected endurance time based on the actual power consumption data and the power supply energy; The power sharing module is used to transmit the power supply energy to other smart wearable devices via wireless transmission; The display module is used to display the expected battery life, power status, usage habits and historical data; The historical data includes historical power generation data, historical power consumption data and historical usage data.

4. The power supply system for the smart wearable device according to claim 3, characterized in that: The energy management module includes: a power monitoring unit, a power distribution unit and a battery power management unit; the power monitoring unit is connected to the power generation module, the power consumption module and the power distribution unit, the battery power management unit is connected to the battery, and the power distribution unit is also connected to the power consumption module, the display module and the power sharing module; The power monitoring unit is used to monitor the power supply energy of the power generation module under different power supply modes; The power distribution unit is used to distribute the corresponding target power in the supply power to the power consumption module, the display module and the power sharing module according to the actual power consumption data fed back by the power consumption module; The battery power management unit is used to monitor the power state of the battery, so as to control the disconnection of the charge and discharge circuit when the battery reaches a preset power level.

5. The power supply system for the smart wearable device according to claim 1, characterized in that: The data processing and analysis module includes: a user behavior analysis unit and an algorithm processing unit; The algorithm processing unit is connected to the user behavior analysis unit and the energy management module respectively, and the user behavior analysis unit is also connected to the power consumption module; The user behavior analysis unit is used to analyze the usage habits of the user and adjust the power allocation priority of the power consumption module according to the usage habits; The algorithm processing unit is used to predict the predicted power provided by the power generation module within the target time period according to the usage habits and the power supply power, and adjust the power generation module to adopt a corresponding power supply mode according to the predicted power.

6. The power supply system for the smart wearable device according to claim 3, characterized in that: The power generation module includes: a solar power generation unit, a kinetic energy power generation unit, a thermoelectric power generation unit, a sweat power generation unit and a wireless charging transmission unit; The solar power generation unit, the kinetic energy power generation unit, the thermoelectric power generation unit, the sweat power generation unit and the wireless charging transmitting unit are all connected to the energy management module, and the wireless charging transmitting unit is also connected to the power sharing module; The solar power generation unit is used to convert solar energy into the power supply electric energy; the kinetic energy power generation unit is used to convert kinetic energy into the power supply electric energy when the current smart wearable device is in motion; The thermoelectric power generation unit is used to monitor the temperature of the user's wrist and use the temperature to provide the power supply energy; The sweat power generation unit is used to detect sweat at the wrist and use the sweat to provide the power supply energy; The wireless charging transmitting unit is used to receive power from other smart wearable devices when the current smart wearable device is in the wireless charging mode.

7. A power supply method for a smart wearable device, characterized in that: include: Collect information data of power generation modules; Constructing a first pre-built model according to the information data, and using the first pre-built model to predict the predicted electric energy to be provided by the power generation module within the target time period, and the actual power consumption data of the power consumption module; After the second pre-built model is trained with the information data, the power supply strategy of the power generation module is adjusted according to the user's usage habits using the trained second pre-built model.

8. The power supply method for a smart wearable device according to claim 7, characterized in that: The power supply strategy includes: Determining whether the power generation module is operating normally; If the power generation module cannot work normally, determine whether the power supply provided by the power generation module matches the actual power consumption data monitored by the power consumption module; If the power supply energy does not match the actual power consumption data, controlling the backup battery module to supply power to the power consumption module; If the power generation module works normally, the backup battery is controlled to supply power to the power consumption module.

9. The power supply method for a smart wearable device according to claim 7, characterized in that: The method of using the trained second pre-built model to adjust the power supply strategy of the power generation module according to the user's usage habits includes: Generate a plurality of first power supply strategies according to the usage habits using the trained second pre-built model; After establishing an objective function for the genetic algorithm, respectively calculating the performance of the plurality of first power supply strategies according to the objective function; After obtaining the optimal power supply decision among the plurality of first power supply strategies by comparison, the optimal power supply decision is cross-referenced and mutated to obtain a target power supply decision, so as to use the target power supply decision to power the current smart wearable device; Among them, the performance includes: minimizing costs, maximizing efficiency, balancing loads, reliability optimization and multi-objective optimization; the information data includes: power generation data, historical power consumption data and usage habits.

10. A smart wearable device, characterized in that: include: A memory, a processor, a display, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the power supply method for the smart wearable device according to any one of claims 1 to 7 are implemented.

Images