A smartwatch-based monitoring method and system

Abstract

The application discloses a kind of monitoring method and system based on smart watch, it is related to smart watch monitoring technical field, including: real-time monitoring ambient pressure and monitoring wearer's temperature change;According to the pressure and temperature data monitored, establish watch energy consumption evaluation model, evaluate the energy consumption of watch;Based on the output of watch energy consumption evaluation model, using adaptive algorithm is used according to the activity state of wearer Automatic adjustment monitoring frequency and data processing mode;Monitoring data is sent to user end and cloud end by wireless communication module.The application proposes by integrating IC pressure monitoring chip and temperature measuring chip, real-time monitoring wearer's temperature and ambient pressure, provides multidimensional health monitoring, and sends alarm when temperature is abnormal, based on the energy consumption evaluation model of pressure and temperature data, automatically adjust monitoring frequency and data processing mode, effectively reduce battery consumption and prolong use time.

Description

Technical Field

[0001] This invention relates to the field of smartwatch monitoring technology, specifically to a monitoring method and system based on a smartwatch. Background Technology

[0002] With the popularization of smart wearable devices, smartwatches, as an indispensable tool in daily life, have been widely used in health monitoring, sports tracking, and daily communication. In recent years, smartwatches have not only become increasingly diversified in terms of functions, but have also gradually expanded in terms of technological applications. Especially in the field of health monitoring, they are gradually developing towards integrating multiple sensors. Existing smartwatches mainly rely on basic parameters such as heart rate monitoring and step count to assess the user's health status. However, this type of monitoring method is usually limited to a single monitoring mode and fails to fully consider the wearer's environmental changes and individual health status. In addition, due to the complex usage environment of smartwatches, the wearer's activity status and environmental factors will directly affect the device's power consumption. Therefore, how to optimize the power consumption and extend the usage time of smartwatches is also a key design issue.

[0003] Current technology has not yet been able to effectively assess the watch's energy consumption in real time based on data such as the wearer's body temperature and ambient air pressure, and automatically adjust the monitoring frequency and data processing method according to the wearer's activity status, thereby achieving efficient battery management and performance optimization. Therefore, how to adjust the watch's working mode through adaptive algorithms to save battery energy without affecting the accuracy of health monitoring has become an important breakthrough point for current technology. Summary of the Invention

[0004] To address the aforementioned technical problems, a monitoring method and system based on a smartwatch are provided, and this technical solution resolves the problems described above.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A monitoring method based on a smartwatch includes: An IC barometric pressure monitoring chip is installed on the back of the smartwatch to monitor the ambient air pressure. A temperature measurement chip is also installed on the back of the smartwatch to monitor the wearer's body temperature changes in real time and provide feedback when the wearer's body temperature is abnormal, thus reflecting the wearer's health status in real time. Based on the monitored air pressure and temperature data, a watch energy consumption assessment model is established to evaluate the watch's energy consumption. Based on the output of the watch energy consumption assessment model, an adaptive algorithm is used to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status. The monitoring data is transmitted to the user terminal and the cloud via a wireless communication module.

[0006] Preferably, the step of setting an IC barometric pressure monitoring chip on the back of the smartwatch to monitor the ambient air pressure, and setting a temperature measuring chip on the back of the smartwatch to monitor the wearer's body temperature changes in real time, providing feedback when the wearer's body temperature is abnormal, and reflecting the wearer's health status in real time, specifically includes: An IC barometric pressure monitoring chip is installed on the back of the smartwatch. The barometric pressure monitoring chip is connected to the external environment through a through hole on the back of the watch to monitor changes in the ambient air pressure around the wearer in real time and perform preliminary data filtering. A temperature sensing chip is installed on the back of the smartwatch. The chip monitors the wearer's body temperature changes in real time and obtains the wearer's temperature data through contact with the skin. When the body temperature exceeds the set health threshold, the watch will alert the wearer through its built-in alarm system, reminding them to pay attention to their health status and displaying health feedback on the watch screen.

[0007] Preferably, the step of establishing a watch energy consumption assessment model based on the monitored air pressure and temperature data to assess the watch's energy consumption specifically includes: The smartwatch uses an IC barometric pressure monitoring chip on the back to periodically obtain the ambient air pressure and record the air pressure value at each time point. It also uses a temperature measuring chip to monitor the wearer's body temperature in real time and obtain the body temperature value at each time point. Feature extraction was performed on the collected air pressure and body temperature data, and a watch energy consumption assessment model was established based on the feature data of air pressure and temperature.

[0008] Preferably, the step of extracting features from the collected air pressure and body temperature data, and establishing a watch energy consumption assessment model based on the air pressure and temperature feature data, specifically includes: The formula for the watch energy consumption assessment model is as follows: In the formula, In time At any given moment, the watch's total power consumption, In time At any given time, the energy consumption of the air pressure monitoring module, In time At any given time, the energy consumption of the body temperature monitoring module, In time At any given moment, the power consumption of the wireless communication module.

[0009] Preferably, the output of the watch power consumption assessment model, using an adaptive algorithm to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status, specifically includes: The built-in sensors monitor the wearer's activity status in real time, including whether the wearer is stationary, walking, running, or sleeping, and update the wearer's activity status and classification in real time. Based on air pressure and temperature monitoring data, as well as the wearer's activity status, the current energy consumption level is estimated in real time using a previously established watch energy consumption assessment model. Based on the results of activity status and real-time energy consumption assessment, an adaptive algorithm is used to automatically adjust the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip. Based on the activity status and energy consumption requirements, the data processing method is adjusted. In the high energy consumption state, core data is collected, and in the low energy consumption mode, detailed monitoring and data analysis are enabled. The data analysis includes real-time filtering, noise reduction and data compression. Based on the monitoring frequency and data processing method output by the algorithm, the watch's actual working mode is adjusted so that it can minimize energy consumption while ensuring accuracy. Through the wireless communication module, the watch sends the adjusted monitoring data to the user terminal and the cloud.

[0010] Preferably, the automatic adjustment of the operating frequencies of the barometric pressure monitoring chip and the body temperature monitoring chip using an adaptive algorithm based on the results of activity status and real-time energy consumption assessment specifically includes: The monitoring frequency decreases when the wearer is at rest, increases when the wearer starts walking or running, and decreases when the wearer is asleep. Under different activity states, the data processing method is adjusted according to energy consumption requirements. In high energy consumption mode, only core data is collected, including current body temperature and air pressure. In low energy consumption mode, more monitoring functions are enabled and data analysis is performed, including real-time filtering, noise reduction and data compression. The adaptive algorithm outputs the final operation command based on the real-time energy consumption assessment and the monitoring frequency and data processing method adjusted according to the activity status, controls the working mode of the smartwatch, and ensures that battery consumption is minimized while ensuring the accuracy of health monitoring.

[0011] Preferably, the adaptive algorithm formula specifically includes: In the formula, This is a new monitoring frequency adjusted based on activity status and energy consumption assessment. This is the basic monitoring frequency. It is a factor adjusted based on the activity status. It is an adjustment factor based on energy consumption demand. This is a data processing method adjusted based on activity status and energy consumption assessment. It is a basic data processing method. It is a processing method factor that is adjusted according to the activity status. It is a data processing mode factor adjusted according to energy consumption demand. These are the final operating commands used to control the smartwatch's working mode. It is an operation function that integrates monitoring frequency and data processing methods.

[0012] A smartwatch-based monitoring system includes: Barometric pressure monitoring module: Real-time monitoring of ambient air pressure; Body temperature monitoring module: Real-time monitoring of the wearer's body temperature changes; Energy consumption assessment module: By analyzing the working status, data acquisition frequency and processing mode of the barometric pressure and temperature sensors, an energy consumption assessment model for the watch is established to assess the overall power consumption; Adaptive adjustment module: Automatically adjusts the monitoring frequency and data processing method according to the wearer's activity status, saving battery and optimizing performance; Wireless communication module: transmits the air pressure, temperature and other relevant health data collected by the watch to the user terminal and cloud platform via Bluetooth Low Energy; Health feedback module: When the wearer's body temperature and environmental conditions exceed the normal range, the system will issue alarms and health reminders to the wearer through vibration, sound and screen prompts.

[0013] Preferably, the energy consumption assessment module specifically includes: Barometric pressure monitoring module evaluation unit: Based on the working status of the IC barometric pressure monitoring chip, evaluate the energy consumption of the barometric pressure monitoring module, and periodically record the time interval, amount of data collected, and transmission frequency of barometric pressure data acquisition; Body temperature monitoring module evaluation unit: Based on the working status of the temperature measuring chip, evaluate the energy consumption of the body temperature monitoring module, and calculate the power consumption of the module based on the real-time body temperature data acquisition frequency and data processing requirements. Wireless communication module evaluation unit: evaluates the power consumption of the wireless communication module, including the frequency, amount of data and signal strength of data transmission, and calculates the power consumption of the module based on the duration and frequency of data transmission; Energy consumption calculation unit: Based on energy consumption assessment and combined with working status, an overall energy consumption assessment model is established. The energy consumption of each module is weighted and calculated through an algorithm, and the current overall energy consumption data of the watch is output.

[0014] Preferably, the adaptive adjustment module specifically includes: Activity status monitoring unit: It monitors the wearer's activity status in real time through built-in sensors and updates the wearer's activity mode according to whether the wearer is stationary, walking, running or sleeping. Energy consumption assessment and processing unit: Based on the real-time energy consumption data provided by the energy consumption assessment module and the wearer's activity status, calculate the current power consumption level of the watch, and adjust the monitoring frequency, data processing method and other energy consumption parameters according to the real-time energy consumption data and activity status. Monitoring frequency adjustment unit: dynamically adjusts the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip based on the wearer's activity status and energy consumption assessment results; Data processing method adjustment unit: Adjusts the data processing method based on real-time energy consumption assessment results and activity status; Adjustment output instruction generation unit: Based on adjustments to activity status, energy consumption assessment data, monitoring frequency, and data processing methods, it generates the final operation instructions; Wireless communication module adjustment unit: dynamically adjusts the operating mode of the wireless communication module according to the current energy consumption requirements; Health feedback and alarm unit: When the wearer's body temperature and ambient air pressure exceed the normal range, a health alarm is issued, and feedback is provided through vibration, sound and display screen to remind the wearer to pay attention to their health status.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention proposes to integrate an IC barometric pressure monitoring chip and a temperature measurement chip to monitor the wearer's body temperature and ambient air pressure in real time, providing multi-dimensional health monitoring and issuing an alarm when the body temperature is abnormal. Based on an energy consumption assessment model of air pressure and body temperature data, it automatically adjusts the monitoring frequency and data processing method to effectively reduce battery consumption and extend usage time. It monitors the wearer's activity status through built-in sensors and adaptively adjusts the working mode. Low-power Bluetooth transmits data to the cloud and provides real-time health feedback, ensuring accurate monitoring while optimizing energy efficiency. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the steps of the present invention. Figure 2 This is a system framework diagram of the present invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, a monitoring method based on a smartwatch includes: An IC barometric pressure monitoring chip is installed on the back of the smartwatch to monitor the ambient air pressure. A temperature measurement chip is also installed on the back of the smartwatch to monitor the wearer's body temperature changes in real time and provide feedback when the wearer's body temperature is abnormal, thus reflecting the wearer's health status in real time. Based on the monitored air pressure and temperature data, a watch energy consumption assessment model is established to evaluate the watch's energy consumption. Based on the output of the watch energy consumption assessment model, an adaptive algorithm is used to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status. The monitoring data is transmitted to the user terminal and the cloud via a wireless communication module.

[0019] An IC barometric pressure monitoring chip is installed on the back of the smartwatch to monitor the ambient air pressure. A temperature sensing chip is also installed on the back of the smartwatch to monitor the wearer's body temperature changes in real time. Feedback is provided when the wearer's body temperature is abnormal, reflecting the wearer's health status in real time. Specifically, this includes: An IC barometric pressure monitoring chip is installed on the back of the smartwatch. The barometric pressure monitoring chip is connected to the external environment through a through hole on the back of the watch to monitor changes in the ambient air pressure around the wearer in real time and perform preliminary data filtering. A temperature sensing chip is installed on the back of the smartwatch. The chip monitors the wearer's body temperature changes in real time and obtains the wearer's temperature data through contact with the skin. When the body temperature exceeds the set health threshold, the watch will alert the wearer through its built-in alarm system, reminding them to pay attention to their health status and displaying health feedback on the watch screen. A barometric pressure monitoring chip is placed on the back of the smartwatch and connected to the external environment through a through-hole. Combined with real-time data monitoring from a temperature measuring chip, it can accurately monitor the wearer's environment and body temperature changes, and provide warning feedback when the body temperature exceeds a set threshold.

[0020] Based on the monitored air pressure and temperature data, a watch power consumption assessment model is established to evaluate the watch's power consumption, specifically including: The smartwatch uses an IC barometric pressure monitoring chip on the back to periodically obtain the ambient air pressure and record the air pressure value at each time point. It also uses a temperature measuring chip to monitor the wearer's body temperature in real time and obtain the body temperature value at each time point. Feature extraction was performed on the collected air pressure and body temperature data, and a watch energy consumption assessment model was established based on the feature data of air pressure and temperature. By regularly recording air pressure and body temperature data, and using feature extraction technology, a power consumption assessment model is established by combining the feature data of air pressure and body temperature. This method can assess the power consumption of the watch in real time and provide data support for subsequent adaptive adjustments.

[0021] Feature extraction is performed on the collected air pressure and body temperature data. Based on the feature data of air pressure and temperature, a watch energy consumption assessment model is established, specifically including: The formula for the watch energy consumption assessment model is as follows: In the formula, In time At any given moment, the watch's total power consumption, In time At any given time, the energy consumption of the air pressure monitoring module, In time At any given time, the energy consumption of the body temperature monitoring module, In time At any given time, the power consumption of the wireless communication module; The watch energy consumption assessment model proposed in this invention comprehensively calculates the energy consumption of air pressure, body temperature, and wireless communication module to accurately assess the overall power consumption of the watch and ensure real-time battery management and optimization.

[0022] Based on the output of the watch power consumption assessment model, an adaptive algorithm is used to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status. Specifically, this includes: The built-in sensors monitor the wearer's activity status in real time, including whether the wearer is stationary, walking, running, or sleeping, and update the wearer's activity status and classification in real time. Based on air pressure and temperature monitoring data, as well as the wearer's activity status, the current energy consumption level is estimated in real time using a previously established watch energy consumption assessment model. Based on the results of activity status and real-time energy consumption assessment, an adaptive algorithm is used to automatically adjust the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip. Based on the activity status and energy consumption requirements, the data processing method is adjusted. Under high energy consumption conditions, core data is collected, and under low energy consumption conditions, detailed monitoring and data analysis are enabled. Data analysis includes real-time filtering, noise reduction, and data compression. Based on the monitoring frequency and data processing method output by the algorithm, the watch's actual working mode is adjusted so that it can minimize energy consumption while ensuring accuracy. Through the wireless communication module, the watch sends the adjusted monitoring data to the user terminal and the cloud. By employing an adaptive algorithm, the watch adjusts the monitoring frequency and data processing method according to the wearer's activity status, ensuring that the watch can automatically optimize power consumption and maintain efficient health monitoring functions regardless of the wearer's state.

[0023] Based on the results of activity status and real-time energy consumption assessment, an adaptive algorithm is used to automatically adjust the operating frequencies of the barometric pressure monitoring chip and the body temperature monitoring chip, specifically including: The monitoring frequency decreases when the wearer is at rest, increases when the wearer starts walking or running, and decreases when the wearer is asleep. Under different activity states, the data processing method is adjusted according to energy consumption needs. In high energy consumption mode, only core data is collected, including current body temperature and air pressure. In low energy consumption mode, more monitoring functions are enabled and data analysis is performed, including real-time filtering, noise reduction and data compression. The adaptive algorithm outputs the final operation command based on the real-time energy consumption assessment and the monitoring frequency and data processing method adjusted according to the activity status, controls the working mode of the smartwatch, and ensures that battery consumption is minimized while ensuring the accuracy of health monitoring. This method dynamically adjusts the monitoring frequency and data processing method based on the wearer's activity status. In high-energy-consumption mode, only core data is collected, while in low-energy-consumption mode, detailed monitoring and analysis are enabled, ensuring the accuracy of health monitoring while minimizing energy consumption.

[0024] The adaptive algorithm formula specifically includes: In the formula, This is a new monitoring frequency adjusted based on activity status and energy consumption assessment. This is the basic monitoring frequency. It is a factor adjusted based on the activity status. It is an adjustment factor based on energy consumption demand. This is a data processing method adjusted based on activity status and energy consumption assessment. It is a basic data processing method. It is a processing method factor that is adjusted according to the activity status. It is a data processing mode factor adjusted according to energy consumption demand. These are the final operating commands used to control the smartwatch's working mode. It is an operation function that integrates monitoring frequency and data processing methods; The proposed adaptive algorithm can automatically adjust the monitoring frequency and data processing method based on the wearer's real-time activity status and energy consumption assessment, thereby optimizing the watch's battery management and working efficiency and ensuring the accuracy of health data and energy-saving effects.

[0025] Reference Figure 2 As shown, a monitoring system based on a smartwatch includes: Barometric pressure monitoring module: Real-time monitoring of ambient air pressure; Body temperature monitoring module: Real-time monitoring of the wearer's body temperature changes; Energy consumption assessment module: By analyzing the working status, data acquisition frequency and processing mode of the barometric pressure and temperature sensors, an energy consumption assessment model for the watch is established to assess the overall power consumption; Adaptive adjustment module: Automatically adjusts the monitoring frequency and data processing method according to the wearer's activity status, saving battery and optimizing performance; Wireless communication module: transmits the air pressure, temperature and other relevant health data collected by the watch to the user terminal and cloud platform via Bluetooth Low Energy; Health feedback module: When the wearer's body temperature and environmental conditions exceed the normal range, the system will issue alarms and health reminders to the wearer through vibration, sound and screen prompts.

[0026] The energy consumption assessment module specifically includes: Barometric pressure monitoring module evaluation unit: Based on the working status of the IC barometric pressure monitoring chip, evaluate the energy consumption of the barometric pressure monitoring module, and periodically record the time interval, amount of data collected, and transmission frequency of barometric pressure data acquisition; Body temperature monitoring module evaluation unit: Based on the working status of the temperature measuring chip, evaluate the energy consumption of the body temperature monitoring module, and calculate the power consumption of the module based on the real-time body temperature data acquisition frequency and data processing requirements. Wireless communication module evaluation unit: evaluates the power consumption of the wireless communication module, including the frequency, amount of data and signal strength of data transmission, and calculates the power consumption of the module based on the duration and frequency of data transmission; Energy consumption calculation unit: Based on energy consumption assessment and combined with working status, establish an overall energy consumption assessment model, and use algorithms to perform weighted calculations on the energy consumption of each module, outputting the current overall watch energy consumption data; Through a detailed energy consumption assessment module, the power consumption of the barometric pressure monitoring module, body temperature monitoring module, and wireless communication module is accurately evaluated. Combined with real-time energy consumption calculation, the power consumption management of the watch is optimized, providing longer usage time and higher efficiency.

[0027] The adaptive adjustment module specifically includes: Activity status monitoring unit: It monitors the wearer's activity status in real time through built-in sensors and updates the wearer's activity mode according to whether the wearer is stationary, walking, running or sleeping. Energy consumption assessment and processing unit: Based on the real-time energy consumption data provided by the energy consumption assessment module and the wearer's activity status, calculate the current power consumption level of the watch, and adjust the monitoring frequency, data processing method and other energy consumption parameters according to the real-time energy consumption data and activity status. Monitoring frequency adjustment unit: dynamically adjusts the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip based on the wearer's activity status and energy consumption assessment results; Data processing method adjustment unit: Adjusts the data processing method based on real-time energy consumption assessment results and activity status; Adjustment output instruction generation unit: Based on adjustments to activity status, energy consumption assessment data, monitoring frequency, and data processing methods, it generates the final operation instructions; Wireless communication module adjustment unit: dynamically adjusts the operating mode of the wireless communication module according to the current energy consumption requirements; Health feedback and alarm unit: When the wearer's body temperature and ambient air pressure exceed the normal range, a health alarm is issued, and feedback is provided through vibration, sound and display screen to remind the wearer to pay attention to their health status; The adaptive adjustment module of this system can monitor the wearer's activity status in real time and dynamically adjust the working frequency and data processing method of each module according to real-time energy consumption data, so as to save battery energy to the maximum extent while ensuring the accuracy and timeliness of health monitoring.

[0028] In summary, the advantages of this invention are: By integrating an IC barometric pressure monitoring chip and a temperature measuring chip, it can monitor changes in the barometric pressure and body temperature of the wearer's environment in real time, effectively addressing various health conditions. In particular, it can provide timely alerts when body temperature is abnormal, helping wearers better understand their own health. The energy consumption assessment model based on air pressure and body temperature data can estimate the power consumption of the watch in real time. It can also automatically adjust the monitoring frequency and data processing method in combination with the wearer's activity status, thereby minimizing the watch's battery consumption and extending its usage time. By using the built-in sensors of the smartwatch to monitor the wearer's activity status in real time, and automatically adjusting the monitoring frequency and data processing method based on the activity status and real-time energy consumption assessment results, the smartwatch achieves an adaptive working mode, improving performance and battery management efficiency. Through the wireless communication module, the watch can transmit monitoring data to the user terminal and cloud platform in a timely manner. At the same time, when the wearer's body temperature or ambient air pressure is abnormal, the watch will issue an alarm through vibration, sound and screen to help users pay attention to their own health status in a timely manner. The adaptive algorithm dynamically adjusts the monitoring frequency and data processing method based on the wearer's real-time activity status. In high-energy-consumption mode, it only collects core data, while in low-energy-consumption mode, it performs more detailed monitoring and data analysis, thereby ensuring the accuracy of health monitoring while minimizing energy consumption.

[0029] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A monitoring method based on a smartwatch, characterized in that, include: An IC barometric pressure monitoring chip is installed on the back of the smartwatch to monitor the ambient air pressure. A temperature measurement chip is also installed on the back of the smartwatch to monitor the wearer's body temperature changes in real time and provide feedback when the wearer's body temperature is abnormal, thus reflecting the wearer's health status in real time. Based on the monitored air pressure and temperature data, a watch energy consumption assessment model is established to evaluate the watch's energy consumption. Based on the output of the watch energy consumption assessment model, an adaptive algorithm is used to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status. The monitoring data is transmitted to the user terminal and the cloud via a wireless communication module.

2. The monitoring method based on a smartwatch according to claim 1, characterized in that, The smartwatch features an IC barometric pressure monitoring chip on its back to monitor ambient air pressure, and a temperature sensing chip on its back to monitor the wearer's body temperature in real time. It provides feedback when the wearer's body temperature is abnormal, thus reflecting the wearer's health status in real time. Specifically, this includes: An IC barometric pressure monitoring chip is installed on the back of the smartwatch. The barometric pressure monitoring chip is connected to the external environment through a through hole on the back of the watch to monitor changes in the ambient air pressure around the wearer in real time and perform preliminary data filtering. A temperature sensing chip is installed on the back of the smartwatch. The chip monitors the wearer's body temperature changes in real time and obtains the wearer's temperature data through contact with the skin. When the body temperature exceeds the set health threshold, the watch will alert the wearer through its built-in alarm system, reminding them to pay attention to their health status and displaying health feedback on the watch screen.

3. The monitoring method based on a smartwatch according to claim 2, characterized in that, The process of establishing a watch energy consumption assessment model based on monitored air pressure and temperature data to assess watch energy consumption specifically includes: The smartwatch uses an IC barometric pressure monitoring chip on the back to periodically obtain the ambient air pressure and record the air pressure value at each time point. It also uses a temperature measuring chip to monitor the wearer's body temperature in real time and obtain the body temperature value at each time point. Feature extraction was performed on the collected air pressure and body temperature data, and a watch energy consumption assessment model was established based on the feature data of air pressure and temperature.

4. The monitoring method based on a smartwatch according to claim 3, characterized in that, The process involves extracting features from the collected air pressure and body temperature data, and establishing a watch energy consumption assessment model based on these features. include: The formula for the watch energy consumption assessment model is as follows: In the formula, In time At any given moment, the watch's total power consumption, In time At any given time, the energy consumption of the air pressure monitoring module, In time At any given time, the energy consumption of the body temperature monitoring module, In time At any given moment, the power consumption of the wireless communication module.

5. The monitoring method based on a smartwatch according to claim 4, characterized in that, The output of the watch power consumption assessment model uses an adaptive algorithm to automatically adjust the monitoring frequency and data processing method according to the wearer's activity status, specifically including: The built-in sensors monitor the wearer's activity status in real time, including whether the wearer is stationary, walking, running, or sleeping, and update the wearer's activity status and classification in real time. Based on air pressure and temperature monitoring data, as well as the wearer's activity status, the current energy consumption level is estimated in real time using a previously established watch energy consumption assessment model. Based on the results of activity status and real-time energy consumption assessment, an adaptive algorithm is used to automatically adjust the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip. Based on the activity status and energy consumption requirements, the data processing method is adjusted. In the high energy consumption state, core data is collected, and in the low energy consumption mode, detailed monitoring and data analysis are enabled. The data analysis includes real-time filtering, noise reduction and data compression. Based on the monitoring frequency and data processing method output by the algorithm, the watch's actual working mode is adjusted so that it can minimize energy consumption while ensuring accuracy. Through the wireless communication module, the watch sends the adjusted monitoring data to the user terminal and the cloud.

6. The monitoring method based on a smartwatch according to claim 5, characterized in that, The automatic adjustment of the operating frequencies of the barometric pressure monitoring chip and the body temperature monitoring chip using an adaptive algorithm, based on the results of activity status and real-time energy consumption assessment, specifically includes: The monitoring frequency decreases when the wearer is at rest, increases when the wearer starts walking or running, and decreases when the wearer is asleep. Under different activity states, the data processing method is adjusted according to energy consumption requirements. In high energy consumption mode, only core data is collected, including current body temperature and air pressure. In low energy consumption mode, more monitoring functions are enabled and data analysis is performed, including real-time filtering, noise reduction and data compression. The adaptive algorithm outputs the final operation command based on the real-time energy consumption assessment and the monitoring frequency and data processing method adjusted according to the activity status, controls the working mode of the smartwatch, and ensures that battery consumption is minimized while ensuring the accuracy of health monitoring.

7. The monitoring method based on a smartwatch according to claim 6, characterized in that, The adaptive algorithm formula specifically includes: In the formula, This is a new monitoring frequency adjusted based on activity status and energy consumption assessment. This is the basic monitoring frequency. It is a factor adjusted based on the activity status. It is an adjustment factor based on energy consumption demand. This is a data processing method adjusted based on activity status and energy consumption assessment. It is a basic data processing method. It is a processing method factor that is adjusted according to the activity status. It is a data processing mode factor adjusted according to energy consumption demand. These are the final operating commands used to control the smartwatch's working mode. It is an operation function that integrates monitoring frequency and data processing methods.

8. A monitoring system based on a smartwatch, applied to the monitoring method based on a smartwatch as described in any one of claims 1-7, characterized in that, include: Barometric pressure monitoring module: Real-time monitoring of ambient air pressure; Body temperature monitoring module: Real-time monitoring of the wearer's body temperature changes; Energy consumption assessment module: By analyzing the working status, data acquisition frequency and processing mode of the barometric pressure and temperature sensors, an energy consumption assessment model for the watch is established to assess the overall power consumption; Adaptive adjustment module: Automatically adjusts the monitoring frequency and data processing method according to the wearer's activity status, saving battery and optimizing performance; Wireless communication module: transmits the air pressure, temperature and other relevant health data collected by the watch to the user terminal and cloud platform via Bluetooth Low Energy; Health feedback module: When the wearer's body temperature and environmental conditions exceed the normal range, the system will issue alarms and health reminders to the wearer through vibration, sound and screen prompts.

9. A monitoring system based on a smartwatch according to claim 8, characterized in that, The energy consumption assessment module specifically includes: Barometric pressure monitoring module evaluation unit: Based on the working status of the IC barometric pressure monitoring chip, evaluate the energy consumption of the barometric pressure monitoring module, and periodically record the time interval, amount of data collected, and transmission frequency of barometric pressure data acquisition; Body temperature monitoring module evaluation unit: Based on the working status of the temperature measuring chip, evaluate the energy consumption of the body temperature monitoring module, and calculate the power consumption of the module based on the real-time body temperature data acquisition frequency and data processing requirements. Wireless communication module evaluation unit: evaluates the power consumption of the wireless communication module, including the frequency, amount of data and signal strength of data transmission, and calculates the power consumption of the module based on the duration and frequency of data transmission; Energy consumption calculation unit: Based on energy consumption assessment and combined with working status, an overall energy consumption assessment model is established. The energy consumption of each module is weighted and calculated through an algorithm, and the current overall energy consumption data of the watch is output.

10. A monitoring system based on a smartwatch according to claim 9, characterized in that, The adaptive adjustment module specifically includes: Activity status monitoring unit: It monitors the wearer's activity status in real time through built-in sensors and updates the wearer's activity mode according to whether the wearer is stationary, walking, running or sleeping. Energy consumption assessment and processing unit: Based on the real-time energy consumption data provided by the energy consumption assessment module and the wearer's activity status, calculate the current power consumption level of the watch, and adjust the monitoring frequency, data processing method and other energy consumption parameters according to the real-time energy consumption data and activity status. Monitoring frequency adjustment unit: dynamically adjusts the operating frequency of the barometric pressure monitoring chip and the body temperature monitoring chip based on the wearer's activity status and energy consumption assessment results; Data processing method adjustment unit: Adjusts the data processing method based on real-time energy consumption assessment results and activity status; Adjustment output instruction generation unit: Based on adjustments to activity status, energy consumption assessment data, monitoring frequency, and data processing methods, it generates the final operation instructions; Wireless communication module adjustment unit: dynamically adjusts the operating mode of the wireless communication module according to the current energy consumption requirements; Health feedback and alarm unit: When the wearer's body temperature and ambient air pressure exceed the normal range, a health alarm is issued, and feedback is provided through vibration, sound and display screen to remind the wearer to pay attention to their health status.

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