A real-time synchronous transmission system for sports data of smart watches

Abstract

The invention discloses a real-time synchronous transmission system for sports data of a smart watch, which relates to the technical field of data transmission. The system solves the problems of data delay accumulation, signal packet loss and sensor data drift through the collaboration of a delay evaluation module, a data retransmission management module and a data calibration module. The delay evaluation module records the start time Tsta and the end time Tend of each transmission in real time, calculates the cumulative delay coefficient Llx and compares it with the delay threshold Lq to trigger a delay alarm. The data retransmission management module detects the number of packet losses Dbz through a packet loss statistics calculation unit, and adaptively adjusts the retransmission strategy in combination with the retransmission evaluation unit to ensure transmission integrity. The data calibration module calculates the sensor drift coefficient Spxs according to the temperature fluctuation factor Te, the noise interference factor En and the historical offset factor Ho, and compares it with the threshold drift Q to automatically adjust the sensor reference parameters to ensure data accuracy and system stability.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission, and in particular to a real-time synchronous transmission system for sports data of a smart watch. Background Art

[0002] The background technology of the real-time synchronous transmission system of smart watch sports data originated from the rapid development of mobile devices and wearable technology. Early wearable devices were limited to simple sports tracking tools such as pedometers. With the development of smart devices and wireless communication technologies, especially the popularization of Bluetooth and Wi-Fi modules, smart watches have been able to integrate more functions, such as heart rate monitoring, GPS positioning, etc. Real-time synchronization technology has gradually transitioned from simple data storage to real-time transmission and sharing. Modern systems achieve efficient and low-latency data transmission by optimizing transmission protocols and data compression technologies to meet users' immediate needs for sports data analysis. This technology not only improves the user experience, but also provides basic support for health data monitoring, sports performance analysis and remote health management.

[0003] However, in actual applications, the real-time synchronous transmission system of smart watch sports data often has the following technical shortcomings:

[0004] 1. Data delay accumulation: Although the system design emphasizes low latency, data may still experience delay accumulation in the case of network congestion or weak signals, resulting in the inability to provide real-time feedback. This problem is particularly prominent during data peak periods.

[0005] 2. Imperfect signal packet loss and retransmission mechanism: During exercise, especially in outdoor environments, Bluetooth or Wi-Fi signals may be unstable, resulting in increased data packet loss. The current packet loss and retransmission mechanism is often not intelligent enough, which may cause incomplete data transmission or increase the burden on system resources.

[0006] 3. Sensor data drift: As exercise time increases, the sensors of smart watches may cause data drift due to temperature changes or long-term vibration. The real-time calibration of sensors is difficult to guarantee in high-frequency data collection scenarios, affecting the accuracy of transmitted data. Summary of the invention

[0007] In view of the shortcomings of the prior art, the present invention provides a smart watch sports data real-time synchronous transmission system, which solves the technical shortcomings of data delay accumulation, signal packet loss and imperfect retransmission mechanism, and sensor data drift mentioned in the background technology;

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a real-time synchronous transmission system for sports data of a smart watch, including a data acquisition module, a data calibration module, a signal control module, a data retransmission management module and a delay evaluation module;

[0009] The data acquisition module is used to collect exercise status related data in real time during the user's exercise, including the user's heart rate related data, step frequency related data, location information related data and temperature change related data, and upload it to a pre-built smart watch exercise database;

[0010] The data calibration module is used to perform offset correction on the motion state related data; by calculating and evaluating the sensor drift coefficient Spxs, the reference parameters of the sensor used to collect the motion state related data are adjusted in real time, and the calibrated motion state related data are transmitted;

[0011] The signal control module is used to dynamically adjust the transmission mode of the data transmission signal under different environmental signal strengths, monitor and collect signal status related data in real time in the outdoor environment through the Bluetooth and Wi-Fi dual-channel switching mechanism, and construct and evaluate the signal fluctuation coefficient Xbw to further analyze whether to automatically switch the transmission channel and retransmit the data;

[0012] The data retransmission management module is used to establish a dynamic retransmission model, collect packet loss data, and automatically detect and count the number of packet losses Dbz, intelligently retransmit the packet loss data based on the dynamic retransmission model, and record the completion status of the retransmitted packet loss data and upload it to the delay evaluation module;

[0013] The delay evaluation module is used to evaluate the data during transmission by calculating the cumulative delay coefficient Llx, comparing and analyzing the cumulative delay coefficient Llx with the preset delay threshold Lq, and displaying the analysis result of the cumulative delay coefficient Llx and the real-time delay status on the user monitoring interface.

[0014] Preferably, the data acquisition module is used to collect and record motion status related data in real time during the user's exercise; first, the user's heart rate related data is detected by using a heart rate sensor using a photoplethysmography method, and then the user's step frequency related data is detected and recorded using an acceleration sensor; the user's location information related data is acquired in real time through a built-in GPS sensor or by connecting to a smart phone, and the trajectory continuity is marked, and then the temperature change related data of the user's wrist is measured by using a built-in temperature sensor; finally, the collected motion status related data is uploaded to the smart watch sports database via Bluetooth.

[0015] Preferably, the data calibration module includes a drift calculation unit and an accuracy assessment unit;

[0016] The drift calculation unit is used to calculate the sensor drift coefficient Spxs for each sensor used in the motion state related data, including the heart rate sensor, the acceleration sensor, the built-in GPS sensor and the built-in temperature sensor, by real-time reading the temperature fluctuation factor Te, the noise interference factor En and the historical offset factor Ho collected by the built-in related monitoring system of each sensor;

[0017] The temperature fluctuation factor Te, noise interference factor En and historical offset factor Ho are extracted, and the sensor drift coefficient Spxs is calculated using the following formula:

[0018]

[0019] The accuracy evaluation unit is used to preset the sensor drift threshold Q, and compare and evaluate it with the sensor drift coefficient Spxs, automatically adjust the reference parameters of the sensor used, and finally input the calibrated motion state related data into the signal control module;

[0020] The specific contents are as follows:

[0021] If the sensor drift coefficient Spxs is less than the sensor drift threshold Q, it is determined that the current sensor does not have drift phenomenon, and the current parameter settings are maintained;

[0022] If the sensor drift coefficient Spxs ≥ sensor drift threshold Q, it is determined that the current sensor has drift phenomenon and the reference parameters need to be adjusted;

[0023] When the baseline parameters of the sensor are adjusted, the motion state related data is collected again and calibrated based on the corrected baseline parameters; finally, the calibrated motion state data is input into the signal control module.

[0024] Preferably, the signal control module includes a signal fluctuation calculation unit and a signal mode evaluation unit;

[0025] The signal fluctuation calculation unit is used to monitor and collect signal status related data in real time, including the Bluetooth signal strength value Xqd, the average signal strength value Xqj, the transmission delay time Xyc and the packet loss rate Xdb; extract the signal status related data and perform fitting to calculate and obtain the signal fluctuation coefficient Xbw. The specific calculation formula is as follows:

[0026]

[0027] Preferably, the signal mode evaluation unit is used to evaluate the signal fluctuation coefficient Xbw, and generates the following evaluation content by comparing the preset signal fluctuation threshold W with the signal fluctuation coefficient Xbw:

[0028] When the signal fluctuation coefficient Xbw ≤ the signal fluctuation threshold W, it is determined that the current signal fluctuation is normal, and the current transmission signal mode meets the stability requirements, and there is no need to switch the transmission channel; the current transmission signal mode is maintained for data transmission;

[0029] When the signal fluctuation coefficient Xbw>signal fluctuation threshold W, it is determined that the current signal fluctuation is abnormal and the current transmission signal mode does not meet the stability requirements; at this time, the transmission signal mode switch is automatically triggered and a backup channel is selected, including switching Bluetooth to Wi-Fi or vice versa, and the data retransmission management module is started to intelligently retransmit the lost packet data.

[0030] Preferably, the data retransmission management module includes a packet loss statistics calculation unit and a retransmission evaluation unit;

[0031] The packet loss statistics calculation unit is used to automatically detect the packet loss data occurring during the transmission process, and analyze the data flow related data during the transmission process in real time to obtain the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer; then the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer are dimensionlessly processed and fitted, and the number of packet losses Dbz is calculated by the following formula:

[0032]

[0033] Preferably, the retransmission evaluation unit is used to construct a dynamic retransmission model based on the number of packet losses Dbz, and select and execute an intelligent retransmission strategy; including adaptively adjusting the number of retransmissions and interval time through a dynamic retransmission model based on signal status and network congestion; and monitoring the success rate of each retransmission and recording the completion status of the retransmitted data.

[0034] Preferably, the delay evaluation module includes a delay accumulation calculation unit and a delay state evaluation unit;

[0035] The delay accumulation calculation unit is used to collect and accumulate the delay related information in each data transmission process, including the transmission start time Tsta and the end time Tend, calculate the single transmission delay length and accumulate it to the total delay, and generate the cumulative delay coefficient Llx;

[0036] The specific calculation formula of the cumulative delay coefficient Llx is as follows:

[0037]

[0038] Where n is the total number of transmissions, i is the number of the i-th data transmission; Tsta i Indicates the start time of the i-th transmission, Tend iIndicates the end time of the i-th transmission.

[0039] Preferably, the delay state evaluation unit is used to preset a delay threshold Lq, and compare and evaluate the cumulative delay coefficient Llx with the delay threshold Lq to determine whether the current delay is within an acceptable range. The specific evaluation content is as follows:

[0040] When the cumulative delay coefficient Llx ≤ the delay threshold Lq, the delay state is determined to be normal and no intervention is required;

[0041] When the cumulative delay coefficient Llx>delay threshold Lq, the delay state is determined to be abnormal. At this time, a delay alarm is triggered and the delay state is marked. At the same time, the evaluation results and real-time delay state are displayed on the user monitoring interface.

[0042] The present invention provides a real-time synchronous transmission system for sports data of a smart watch, which has the following beneficial effects:

[0043] (1) A smart watch sports data real-time synchronous transmission system effectively solves the problem of data delay accumulation through the synergy of the delay accumulation calculation unit and the delay state evaluation unit of the delay evaluation module; the delay accumulation calculation unit collects and accumulates the delay information in each data transmission process in real time, calculates the single transmission delay length and accumulates it to the total delay by recording the transmission start time Tsta and end time Tend of each transmission, and generates a cumulative delay coefficient Llx; the delay state evaluation unit compares and analyzes the cumulative delay coefficient Llx with a preset delay threshold Lq. When the cumulative delay coefficient Llx exceeds the delay threshold Lq, a delay alarm is triggered and a delay abnormal state is marked, thereby avoiding the accumulation of data delays affecting the real-time performance of transmission and improving the system's delay response capability in the case of network congestion or weak signals;

[0044] (2) A smart watch sports data real-time synchronous transmission system, a data retransmission management module, through the cooperation of a packet loss statistics calculation unit and a retransmission evaluation unit, effectively improves the intelligence level of the signal packet loss detection and retransmission mechanism; the packet loss statistics calculation unit analyzes the transmission data flow in real time, automatically detects the number of packet losses Dbz, and calculates the number of packet losses based on the dimensionless processing values ​​of the total number of data packets sent Tse, the total number of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer; the retransmission evaluation unit constructs a dynamic retransmission model based on the number of packet losses Dbz, adaptively adjusts the number of retransmissions and the interval time, and monitors the success rate of each retransmission, and finally uploads the retransmission completion status data to the delay evaluation module, thereby solving the problem of data packet loss caused by unstable signals during exercise, and ensuring the integrity of data transmission and the efficient use of system resources;

[0045] (3) A smart watch sports data real-time synchronous transmission system, the data calibration module effectively alleviates the sensor data drift problem through the drift calculation unit and the accuracy evaluation unit; the drift calculation unit reads the temperature fluctuation factor Te, noise interference factor En and historical offset factor Ho of the sensor's built-in monitoring system in real time, and calculates the sensor drift coefficient Spxs; the accuracy evaluation unit compares the sensor drift coefficient Spxs with the preset drift threshold Q. If Spxs exceeds the drift threshold Q, the baseline parameters of the accelerometer, gyroscope and heart rate sensor are automatically adjusted, including correcting the offset to adjust the accelerometer baseline value, adjusting the gyroscope baseline angular velocity parameters and adjusting the sensitivity of the heart rate sensor through the baseline heart rate correction, thereby improving the real-time and accuracy of the sensor data and making the system more stable in long-term sports scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The present invention is a schematic diagram of the framework structure of a real-time synchronous transmission system for sports data of a smart watch. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Example 1

[0049] See also Figure 1 , a real-time synchronous transmission system for sports data of a smart watch, including a data acquisition module, a data calibration module, a signal control module, a data retransmission management module and a delay evaluation module;

[0050] The data collection module is used to collect the relevant data of the exercise status in real time during the user's exercise, including the user's heart rate data, step frequency data, location information data and temperature change data, and upload it to the pre-built smart watch exercise database;

[0051] The data calibration module is used to perform offset correction on the motion state related data; by calculating and evaluating the sensor drift coefficient Spxs, the reference parameters of the sensor used to collect the motion state related data are adjusted in real time, and the calibrated motion state related data are transmitted;

[0052] The signal control module is used to dynamically adjust the transmission mode of the data transmission signal under different environmental signal strengths. Through the Bluetooth and Wi-Fi dual-channel switching mechanism, it monitors and collects signal status related data in real time in the outdoor environment, and constructs and evaluates the signal fluctuation coefficient Xbw to further analyze whether to automatically switch the transmission channel and retransmit the data.

[0053] The data retransmission management module is used to establish a dynamic retransmission model, collect packet loss data, and automatically detect and count the number of packet losses Dbz. It intelligently retransmits the packet loss data based on the dynamic retransmission model, and records the completion status of the retransmitted packet loss data and uploads it to the delay evaluation module.

[0054] The delay evaluation module is used to evaluate the data during transmission and calculate the cumulative delay coefficient Llx. It compares and analyzes the cumulative delay coefficient Llx with the preset delay threshold Lq, and displays the analysis results of the cumulative delay coefficient Llx and the real-time delay status on the user monitoring interface.

[0055] In this embodiment, efficient data transmission and real-time feedback are achieved through the collaborative work of various modules; the data acquisition module can collect state-related data such as heart rate, cadence, position information and temperature changes in real time during the user's exercise, ensure data integrity and upload it to the smart watch sports database in a timely manner; the data calibration module calculates the sensor drift coefficient Spxs and automatically adjusts the reference parameters of the accelerometer, gyroscope and heart rate sensor to achieve data offset correction and ensure the accuracy of the sensor output data; the signal control module can dynamically adjust the data transmission mode according to the environmental signal strength, monitor the signal status in real time and calculate the signal fluctuation coefficient Xbw through the Bluetooth and Wi-Fi dual-channel switching mechanism, and automatically switch the transmission channel when Xbw exceeds the preset threshold to ensure the stability of data transmission; the data retransmission management module detects the number of packet losses Dbz and intelligently performs data retransmission by establishing a dynamic retransmission model, thereby improving the integrity and reliability of data transmission; the delay evaluation module calculates the cumulative delay coefficient Llx and compares and analyzes it with the preset delay threshold Lq to ensure that the transmission delay is within a reasonable range, and at the same time displays the real-time delay status on the user monitoring interface to enhance the user's grasp and response capabilities to data synchronization.

[0056] Example 2

[0057] The data acquisition module is used to collect and record exercise status related data in real time during the user's exercise; first, the user's heart rate related data is detected by using a heart rate sensor based on the photoelectric volumetric pulse wave method, and then the user's step frequency related data is detected and recorded using an acceleration sensor; the user's location information related data is obtained in real time through the built-in GPS sensor or by connecting to a smartphone, and the trajectory continuity is marked; secondly, the temperature change related data of the user's wrist is measured by using a built-in temperature sensor; finally, the collected exercise status related data is uploaded to the smart watch sports database via Bluetooth.

[0058] The data calibration module includes a drift calculation unit and an accuracy assessment unit;

[0059] The drift calculation unit is used to calculate the sensor drift coefficient Spxs for each sensor used in the motion state related data, including the heart rate sensor, the acceleration sensor, the built-in GPS sensor and the built-in temperature sensor, by real-time reading the temperature fluctuation factor Te, the noise interference factor En and the historical offset factor Ho collected by the built-in related monitoring system of each sensor;

[0060] The temperature fluctuation factor Te, noise interference factor En and historical offset factor Ho are extracted, and the sensor drift coefficient Spxs is calculated using the following formula:

[0061]

[0062] The accuracy evaluation unit is used to preset the sensor drift threshold Q, and compare and evaluate it with the sensor drift coefficient Spxs, automatically adjust the reference parameters of the sensor used, and finally input the calibrated motion state related data into the signal control module;

[0063] The specific contents are as follows:

[0064] If the sensor drift coefficient Spxs is less than the sensor drift threshold Q, it is determined that the current sensor does not have drift phenomenon, and the current parameter settings are maintained;

[0065] If the sensor drift coefficient Spxs ≥ sensor drift threshold Q, it is determined that the current sensor has drift phenomenon and the reference parameters need to be adjusted;

[0066] When the baseline parameters of the sensor are adjusted, the motion state related data is collected again and calibrated based on the corrected baseline parameters; finally, the calibrated motion state data is input into the signal control module.

[0067] In this embodiment, efficient data collection, accurate calibration and stable transmission are achieved; the data collection module detects the user's heart rate related data through photoelectric volumetric pulse wave method PPG, the acceleration sensor detects the step frequency related data, the built-in GPS sensor or connects with the smart phone to obtain location information, and records the temperature change through the built-in temperature sensor, so as to achieve comprehensive and real-time sports status monitoring and upload it to the smart watch sports database through Bluetooth, so as to ensure the timeliness and accuracy of the data;

[0068] The drift calculation unit in the data calibration module calculates the sensor drift coefficient Spxs by collecting the temperature fluctuation factor Te, the noise interference factor En and the historical offset factor Ho, which is used to quantify the drift of the sensor. The accuracy evaluation unit compares the drift coefficient Spxs with the preset drift threshold Q to determine whether to adjust the accelerometer baseline value, the gyroscope baseline angular velocity and the heart rate sensor sensitivity, so as to ensure that the calibrated motion state-related data is accurately input into the signal control module, thereby ensuring the reliability and stability of the sensor data.

[0069] Example 3

[0070] The signal control module includes a signal fluctuation calculation unit and a signal pattern evaluation unit;

[0071] The signal fluctuation calculation unit is used to monitor and collect signal status related data in real time, including Bluetooth signal strength value Xqd, average signal strength value Xqj, transmission delay time Xyc and packet loss rate Xdb; extract signal status related data and perform fitting to calculate the signal fluctuation coefficient Xbw. The specific calculation formula is as follows:

[0072]

[0073] The signal mode evaluation unit is used to evaluate the signal fluctuation coefficient Xbw, and generates the following evaluation content by comparing the preset signal fluctuation threshold W with the signal fluctuation coefficient Xbw:

[0074] When the signal fluctuation coefficient Xbw ≤ the signal fluctuation threshold W, it is determined that the current signal fluctuation is normal, and the current transmission signal mode meets the stability requirements, and there is no need to switch the transmission channel; the current transmission signal mode is maintained for data transmission;

[0075] When the signal fluctuation coefficient Xbw>signal fluctuation threshold W, it is determined that the current signal fluctuation is abnormal and the current transmission signal mode does not meet the stability requirements; at this time, the transmission signal mode switch is automatically triggered and a backup channel is selected, including switching Bluetooth to Wi-Fi or vice versa, and the data retransmission management module is started to intelligently retransmit the lost packet data.

[0076] The data retransmission management module includes a packet loss statistics calculation unit and a retransmission evaluation unit;

[0077] The packet loss statistics calculation unit is used to automatically detect the packet loss data that occurs during the transmission process, and analyze the data flow related data during the transmission process in real time to obtain the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac, and the transmission error rate Eer; then the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac, and the transmission error rate Eer are dimensionlessly processed and fitted, and the packet loss number Dbz is calculated by the following formula:

[0078]

[0079] The retransmission evaluation unit is used to build a dynamic retransmission model based on the number of packet losses Dbz, and select and execute intelligent retransmission strategies; including adaptively adjusting the number of retransmissions and intervals through the dynamic retransmission model based on signal status and network congestion; monitoring the success rate of each retransmission and recording the completion status of the retransmitted data.

[0080] The delay evaluation module includes a delay accumulation calculation unit and a delay state evaluation unit;

[0081] The delay accumulation calculation unit is used to collect and accumulate the delay-related information in each data transmission process, including the transmission start time Tsta and the end time Tend, calculate the single transmission delay duration and accumulate it to the total delay, and generate the cumulative delay coefficient Llx;

[0082] The specific calculation formula of the cumulative delay coefficient Llx is as follows:

[0083]

[0084] Where n is the total number of transmissions, i is the number of the i-th data transmission; Tsta i Indicates the start time of the i-th transmission, Tend i Indicates the end time of the i-th transmission.

[0085] The delay state evaluation unit is used to preset a delay threshold Lq, and compare and evaluate the cumulative delay coefficient Llx with the delay threshold Lq to determine whether the current delay is within an acceptable range. The specific evaluation content is as follows:

[0086] When the cumulative delay coefficient Llx ≤ the delay threshold Lq, the delay state is determined to be normal and no intervention is required;

[0087] When the cumulative delay coefficient Llx>delay threshold Lq, the delay state is determined to be abnormal. At this time, a delay alarm is triggered and the delay state is marked. At the same time, the evaluation results and real-time delay state are displayed on the user monitoring interface.

[0088] In this embodiment, the stability of data transmission and the accuracy of real-time feedback are effectively improved through the coordinated work of the signal control module, the data retransmission management module and the delay evaluation module;

[0089] The signal fluctuation calculation unit in the signal control module monitors and collects a series of signal status related data such as Bluetooth signal strength value Xqd, average signal strength value Xqj, transmission delay time Xyc and packet loss rate Xdb in real time, and calculates the signal fluctuation coefficient Xbw by fitting the signal fluctuation data, providing an evaluation basis for the degree of signal fluctuation; the signal mode evaluation unit compares the signal fluctuation coefficient Xbw with the preset signal fluctuation threshold W to determine whether the current signal transmission mode meets the stability requirements, and triggers channel switching when the signal fluctuation coefficient Xbw exceeds the signal fluctuation threshold W, thereby ensuring the stability of signal transmission under different environments;

[0090] The packet loss statistics calculation unit in the data retransmission management module receives signal status data and detects packet loss. It collects the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer through real-time analysis of the transmission data flow, and calculates the number of packet losses Dbz based on these data to provide accurate data support for subsequent retransmission strategies; the retransmission evaluation unit performs intelligent retransmission of Dbz through a dynamic retransmission model, and adaptively adjusts the number of retransmissions and the interval time based on the signal status and network conditions to ensure the integrity of data transmission;

[0091] The delay accumulation calculation unit in the delay evaluation module records the start time Tsta and end time Tend of each data transmission, and calculates the length of a single delay, and accumulates the total delay to generate a cumulative delay coefficient Llx, which is used to quantify the delay accumulation situation; the delay status evaluation unit compares the cumulative delay coefficient Llx with the preset delay threshold Lq. When the cumulative delay coefficient Llx exceeds the preset delay threshold Lq, the delay status is marked as abnormal and an alarm is triggered. At the same time, the delay status is displayed on the user monitoring interface, thereby enhancing the user's ability to grasp the delay situation in real time.

[0092] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time synchronous transmission system for sports data of a smart watch, characterized in that: It includes a data acquisition module, a data calibration module, a signal control module, a data retransmission management module and a delay evaluation module; The data acquisition module is used to collect exercise status related data in real time during the user's exercise, including the user's heart rate related data, step frequency related data, location information related data and temperature change related data, and upload it to a pre-built smart watch exercise database; The data calibration module is used to perform offset correction on the motion state related data; by calculating and evaluating the sensor drift coefficient Spxs, the reference parameters of the sensor used to collect the motion state related data are adjusted in real time, and the calibrated motion state related data are transmitted; The signal control module is used to dynamically adjust the transmission mode of the data transmission signal under different environmental signal strengths, monitor and collect signal status related data in real time in the outdoor environment through the Bluetooth and Wi-Fi dual-channel switching mechanism, and construct and evaluate the signal fluctuation coefficient Xbw to further analyze whether to automatically switch the transmission channel and retransmit the data; The data retransmission management module is used to establish a dynamic retransmission model, collect packet loss data, and automatically detect and count the number of packet losses Dbz, intelligently retransmit the packet loss data based on the dynamic retransmission model, and record the completion status of the retransmitted packet loss data and upload it to the delay evaluation module; The delay evaluation module is used to evaluate the data during transmission by calculating the cumulative delay coefficient Llx, comparing and analyzing the cumulative delay coefficient Llx with the preset delay threshold Lq, and displaying the analysis result of the cumulative delay coefficient Llx and the real-time delay status on the user monitoring interface.

2. The real-time synchronous transmission system for sports data of a smart watch according to claim 1, characterized in that: The data acquisition module is used to collect and record the relevant data of the user's exercise status in real time during the user's exercise process; firstly, the heart rate related data of the user is detected by using a heart rate sensor using a photoplethysmography method, and then the accelerometer is used to detect and record the relevant data of the user's step frequency; Through the built-in GPS sensor or connection with a smartphone, the user's location information is obtained in real time and the trajectory continuity is marked. Secondly, the temperature change data of the user's wrist is measured by the built-in temperature sensor; finally, the collected exercise status data is uploaded to the smart watch exercise database via Bluetooth.

3. The real-time synchronous transmission system for sports data of a smart watch according to claim 2, characterized in that: The data calibration module includes a drift calculation unit and an accuracy assessment unit; The drift calculation unit is used to calculate the sensor drift coefficient Spxs for each sensor used in the motion state related data, including the heart rate sensor, the acceleration sensor, the built-in GPS sensor and the built-in temperature sensor, by real-time reading the temperature fluctuation factor Te, the noise interference factor En and the historical offset factor Ho collected by the built-in related monitoring system of each sensor; The temperature fluctuation factor Te, noise interference factor En and historical offset factor Ho are extracted, and the sensor drift coefficient Spxs is calculated using the following formula:

4. The real-time synchronous transmission system for sports data of a smart watch according to claim 3, characterized in that: The accuracy evaluation unit is used to preset the sensor drift threshold Q, and compare and evaluate it with the sensor drift coefficient Spxs, automatically adjust the reference parameters of the sensor used, and finally input the calibrated motion state related data into the signal control module; The specific contents are as follows: If the sensor drift coefficient Spxs is less than the sensor drift threshold Q, it is determined that the current sensor does not have drift phenomenon, and the current parameter settings are maintained; If the sensor drift coefficient Spxs ≥ sensor drift threshold Q, it is determined that the current sensor has drift phenomenon and the reference parameters need to be adjusted; When the sensor's baseline parameters are adjusted, the motion state-related data is collected again and calibrated based on the revised baseline parameters; Finally, the calibrated motion state data is input into the signal control module.

5. The real-time synchronous transmission system for sports data of a smart watch according to claim 4, characterized in that: The signal control module includes a signal fluctuation calculation unit and a signal mode evaluation unit; The signal fluctuation calculation unit is used to monitor and collect signal status related data in real time, including the Bluetooth signal strength value Xqd, the average signal strength value Xqj, the transmission delay time Xyc and the packet loss rate Xdb; extract the signal status related data and perform fitting to calculate and obtain the signal fluctuation coefficient Xbw. The specific calculation formula is as follows:

6. The real-time synchronous transmission system for sports data of a smart watch according to claim 5, characterized in that: The signal mode evaluation unit is used to evaluate the signal fluctuation coefficient Xbw, and generates the following evaluation content by comparing the preset signal fluctuation threshold W with the signal fluctuation coefficient Xbw: When the signal fluctuation coefficient Xbw ≤ the signal fluctuation threshold W, it is determined that the current signal fluctuation is normal, and the current transmission signal mode meets the stability requirements, and there is no need to switch the transmission channel; Continue to maintain the current transmission signal mode for data transmission; When the signal fluctuation coefficient Xbw>signal fluctuation threshold W, it is determined that the current signal fluctuation is abnormal and the current transmission signal mode does not meet the stability requirements; at this time, the transmission signal mode switch is automatically triggered and a backup channel is selected, including switching Bluetooth to Wi-Fi or vice versa, and the data retransmission management module is started to intelligently retransmit the lost packet data.

7. The real-time synchronous transmission system for sports data of a smart watch according to claim 6, characterized in that: The data retransmission management module includes a packet loss statistics calculation unit and a retransmission evaluation unit; The packet loss statistics calculation unit is used to automatically detect the packet loss data occurring during the transmission process, and analyze the data flow related data during the transmission process in real time to obtain the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer; then the total amount of data packets sent Tse, the total amount of data packets received Tre, the reception confirmation rate Aac and the transmission error rate Eer are dimensionlessly processed and fitted, and the number of packet losses Dbz is calculated by the following formula:

8. The real-time synchronous transmission system for sports data of a smart watch according to claim 7, characterized in that: The retransmission evaluation unit is used to build a dynamic retransmission model based on the number of packet losses Dbz, and select and execute an intelligent retransmission strategy; including adaptively adjusting the number of retransmissions and interval time through a dynamic retransmission model based on signal status and network congestion; and monitoring the success rate of each retransmission and recording the completion status of the retransmitted data.

9. The real-time synchronous transmission system for sports data of a smart watch according to claim 8, characterized in that: The delay evaluation module includes a delay accumulation calculation unit and a delay state evaluation unit; The delay accumulation calculation unit is used to collect and accumulate the delay related information in each data transmission process, including the transmission start time Tsta and the end time Tend, calculate the single transmission delay length and accumulate it to the total delay, and generate the cumulative delay coefficient Llx; The specific calculation formula of the cumulative delay coefficient Llx is as follows: Where n is the total number of transmissions, i is the number of the i-th data transmission; Tsta i Indicates the start time of the i-th transmission, Tend i Indicates the end time of the i-th transmission.

10. The real-time synchronous transmission system for sports data of a smart watch according to claim 9, characterized in that: The delay state evaluation unit is used to preset a delay threshold Lq, and compare and evaluate the cumulative delay coefficient Llx with the delay threshold Lq to determine whether the current delay is within an acceptable range. The specific evaluation content is as follows: When the cumulative delay coefficient Llx ≤ the delay threshold Lq, the delay state is determined to be normal and no intervention is required; When the cumulative delay coefficient Llx>delay threshold Lq, the delay state is determined to be abnormal. At this time, a delay alarm is triggered and the delay state is marked. At the same time, the evaluation results and real-time delay state are displayed on the user monitoring interface.

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