Intelligent waistband motion monitoring and early warning system

Through the intelligent belt system integrating multiple sensors, the user's movement status is monitored in real time and personalized warnings are provided, which solves the problem of difficulty in providing personalized suggestions and accurately predicting user health risks in the prior art, and improves the convenience and accuracy of user sports and health management.

CN120284251AInactive Publication Date: 2025-07-11THE AFFILIATED HOSPITAL OF XUZHOU MEDICAL UNIV
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Patent Information

Application Number
CN202510605431.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-12
Publication Date
2025-07-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

During the exercise monitoring process, existing smart belts are difficult to provide personalized health advice and accurately predict users' future sports trends and health risks. Users need to have a certain amount of knowledge to judge their own physical condition.

Method used

It adopts an intelligent belt motion monitoring and early warning system, integrating sweat sensors, cortisol sensors, blood sugar sensors, blood oxygen sensors, heart rate sensors, humidity sensors and position sensors. By analyzing user's motion status information, it monitors and determines the user's motion status safety situation in real time, and provides personalized health advice and early warnings.

Benefits of technology

Real-time monitoring of user's exercise status and personalized health management are realized, user experience, convenience and accuracy are improved, and users' safety and health are ensured during exercise.

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Abstract

The invention relates to the technical field of intelligent waistbands, in particular to an intelligent waistband motion monitoring and early warning system, which comprises a control terminal which is a main control terminal of the system and is used for controlling the system to operate or close; the sensing module is used for sensing the motion state information of the user wearing the waistband in real time and synchronously recording the state information of the user; the management module is used for uploading the body parameters of the user and storing the body parameters of the user; according to the method, the user motion state safety situation is analyzed based on the sensed user motion state parameters in the motion scene, judgment is further carried out through the user motion state safety situation, whether the user is suitable for continuing to move currently or not is judged, user motion health management is effectively served, user motion rationality is ensured, and user experience is improved. And meanwhile, the physical quality level change of the user can be comprehensively evaluated based on the historical user motion state safety situation, so that a more convenient and simpler wearable equipment health management service is brought to the user.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent belts, and specifically relates to an intelligent belt movement monitoring and warning system. Background Art

[0002] Wearable health monitoring devices integrate multiple sensors, can closely monitor key indicators such as heart rate and blood oxygen saturation against the skin, and can also sense sweat conditions, such as electrolyte concentration mentioned in the formula. The device continuously collects data, and after being processed by algorithms, intuitively presents the quality value of the body state, helping you understand your health status at any time.

[0003] The invention patent application with the application number 202411019185.0 discloses a human movement health monitoring system, which is characterized in that it includes: a sensing module, the sensing module is used to collect the movement and physiological data of the user and environmental data; a behavior analysis module, the behavior analysis module includes an analysis unit and a personalized guidance unit, the analysis unit is used to analyze the daily behavior pattern of the user according to the information of the sensing module, and then identify the user's exercise habits and health trends, specifically: obtain the exercise habit index information and health index information of the user in the previous month of the current time period.

[0004] This application aims to solve the problem of: "By collecting the movement and physiological data of the user in real time, such as steps, heart rate, exercise type, etc., calculate the user's exercise habits, health status and potential health risks, and help manage their own health status. However, in the actual use process, users have different exercise habits and health needs, it is difficult to give personalized suggestions and guidance, and it is difficult to accurately predict the user's future exercise trends and health risks according to needs for timely intervention."

[0005] However, in the process of using the existing intelligent belt with a movement monitoring function, the body state parameters monitored are often fed back to the user after simple processing, and the user needs to have a certain knowledge reserve to judge their own body state based on these fed-back parameters, so the convenience of such products in use needs to be improved.

[0006] Therefore, an intelligent belt movement monitoring and warning system is proposed. Summary of the Invention

[0007] Aiming at the above-mentioned disadvantages of the prior art, the present invention provides an intelligent belt movement monitoring and warning system, which solves the technical problems proposed in the above background art.

[0008] To achieve the above purposes, the present invention is realized through the following technical solutions:

[0009] An intelligent belt movement monitoring and warning system includes:

[0010] The control terminal, which is the main control end of the system, is used to control the operation or shutdown of the system; the sensing module is used to sense the motion state information of the user wearing the belt in real time and synchronously record the user's state information; the management module is used to upload the user's body parameters and store the user's body parameters; the analysis module is used to obtain the motion state information of the user wearing the belt accumulated and recorded in the sensing module, and analyze the safety situation of the user's motion state based on the user's motion state information; the determination module is used to set the safety determination threshold of the user's state, obtain the analysis result of the user's state safety situation in the analysis module, and determine whether the user's current motion state is healthy based on the comparison between the analysis result and the user's state safety determination threshold; the evaluation module is used to identify the duration of each exercise process when each exercise based on the determination result of the determination module ends in the user's historical exercise, and evaluate the tendency of the user's physical fitness level based on the duration of the exercise process.

[0011] Furthermore, the sensing module is integrated by a sweat sensor, a cortisol sensor, a blood glucose sensor, a blood oxygen sensor, a heart rate sensor, a humidity sensor, a pressure sensor, and a position sensor;

[0012] The sensing module is subordinate to a sub-module, including:

[0013] The power supply module is used to provide the operating power for the sensing module and the winding module;

[0014] The winding module is used to wind the belt to make the belt fit the user's waist;

[0015] Among them, all sensors in the sensing module are evenly deployed in an array on the inner side of the belt and are in direct contact with the user's skin surface.

[0016] Furthermore, during the operation stage of the winding module, the user independently controls the winding degree, and the user's waist circumference is calculated in real time based on the winding degree:

[0017]

[0018] In the formula: L is the user's waist circumference; L all is the total length of the belt; n is the number of winding circles of the winding module during operation; x is the decimal part of n; d is the diameter of the winding roller on the winding module; T is the thickness of the belt; s is the rotation angle of the last circle of the winding roller on the winding module; is the result of rounding up n;

[0019] Among them, represents the constraint function. When s is 360 degrees or n is an integer, Conversely,

[0020] Furthermore, the user's body parameters uploaded in the management module include: height, weight, body fat percentage, and waist circumference. After the user's body parameters in the management module are uploaded, they are synchronously marked based on the user name from which the body parameters are sourced, and then the storage operation is performed. The management module is internally provided with sub-modules, including:

[0021] A selection unit, which is used for the wearing user to select the user's body parameters in the management module during the stage when the user wears the belt to start the system operation;

[0022] The sub-module is set at a lower level of the selection unit, including:

[0023] An editing unit, which is used for editing and modifying the user's body parameters;

[0024] Among them, after the user wears the belt around the waist, the control terminal controls the system operation. When all sensors in the sensing module sense the user's motion state information, the currently sensed user's motion state information is used as the user's motion state information recorded for the first time, and the recording of the continuously sensed user's motion state information is performed.

[0025] Furthermore, during the operation stage of the analysis module, the user's motion state information obtained in the sensing module is sorted based on the sensing time. The user's motion state information includes: electrolyte concentration, metabolite content, pH value; cortisol level; blood glucose concentration; blood oxygen saturation; heart rate; skin surface humidity; position coordinates;

[0026] During the stage of analyzing the safety situation of the user's motion state in the analysis module, the user's motion state characterization parameters are calculated based on the user's motion state information sensed at the same time:

[0027]

[0028] In the formula: K is the user's motion state characterization parameter; E x is the electrolyte concentration in the user's sweat; E0 is the standard concentration of sweat electrolytes; M x is the metabolite content in the user's sweat; M0 is the standard content of metabolites in sweat; P x is the pH value of the user's sweat; P0 is the standard pH value of sweat; C x is the user's cortisol level; C0 is the standard cortisol level; G x is the user's blood glucose concentration; G0 is the standard blood glucose concentration; 95% is the lower limit of the normal blood oxygen saturation range; O x is the user's blood oxygen saturation; H x is the user's heart rate; H max ~H min is the normal heart rate range; D x is the skin surface humidity of the user; D max ~Dmin is the skin surface humidity range caused by reasonable exercise sweating; ω1 and ω2 are weights;

[0029] Among them, the closer the user's exercise state characterization parameter K is to 1, the better the user's exercise state; the closer the user's exercise state characterization parameter K is to 0, the worse the user's exercise state. Both ω1 and ω2 are integers, and their sum is 1, and they follow

[0030] Furthermore, the user's exercise state information recorded cumulatively obtained in the analysis module is calculated through the user's exercise state characterization parameter calculation formula, and the results are denoted as K1, K2, K3,...;

[0031] Then the user's exercise state safety situation analysis logic is expressed as:

[0032] Q = K1 / K2 / K3 / ...;

[0033] In the formula: Q is the user's exercise state safety situation value;

[0034] Among them, the larger Q is, the less suitable the user is to continue exercising currently; on the contrary, it means that the user is currently suitable to continue exercising.

[0035] Furthermore, the user state safety determination threshold in the determination module is user-defined by the system end. A speaker is installed inside the belt, and the speaker is electrically connected to the power supply module. The speaker stores a prompt audio, and the prompt audio is used to prompt the user wearing the belt to end the exercise. When the determination result is negative, the determination module triggers the speaker installed inside the belt to play the prompt audio through the wireless network.

[0036] Furthermore, the logic for evaluating the tendency of the user's physical fitness level in the evaluation module is expressed as:

[0037] Based on time series, sort the durations of each recognized exercise process. When the sorted queue is a continuously increasing queue, it indicates that the user's physical fitness is on the rise; when the sorted queue is a continuously decreasing queue, it indicates that the user's physical fitness is on the decline.

[0038] Furthermore, the analysis module moves synchronously with the updated user state information in the perception module. During the operation stage of the analysis module, based on the historical analysis of the user's exercise state safety situation, a trend chart representing the change of the user's exercise state safety situation is generated;

[0039] Among them, the trend chart representing the change of the user's exercise state safety situation is a line chart. The horizontal axis of the line chart represents time, and the vertical axis represents the user's exercise state safety situation value.

[0040] Further, the control terminal is interconnected with a sensing module through wireless network interaction. The lower level of the sensing module is interconnected with a power module and a winding module through wireless network interaction. The sensing module is interconnected with a management module through wireless network interaction. Inside the management module, a selection unit is interconnected through wireless network interaction. The lower level of the selection unit is interconnected with an editing unit through wireless network interaction. The management module is interconnected with an analysis module, a determination module, and an evaluation module through wireless network interaction.

[0041] Adopting the technical solution provided by the present invention, compared with the known public technologies, the following beneficial effects are achieved:

[0042] The present invention provides an intelligent belt motion monitoring and warning system. During the operation of the system, with the belt as the main body and combined with multiple sensors, in a motion scenario, the motion state information of the user is sensed in real time. Thus, based on the sensed user motion state parameters, the safety situation of the user's motion state is analyzed. Further, through the determination of the safety situation of the user's motion state, it is determined whether the user is currently suitable to continue exercising, effectively serving the user's motion health management, ensuring the rationality of the user's exercise. At the same time, it can also comprehensively evaluate the change in the user's physical fitness level based on the historical safety situation of the user's motion state. Based on this, a more convenient and simple wearable device health management service is brought to the user. Brief Description of the Drawings

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0044] Figure 1 It is a schematic structural diagram of an intelligent belt motion monitoring and warning system. Detailed Embodiments

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0046] The following further describes the present invention with reference to the embodiments.

[0047] Embodiment:

[0048] An intelligent belt motion monitoring and warning system according to this embodiment, as shown in Figure 1 shown, includes:

[0049] The control terminal 1, which is the main control end of the system, is used to control the operation or shutdown of the system;

[0050] The sensing module 2 is used to sense the motion state information of the user wearing the belt in real time and record the user's state information synchronously;

[0051] The sensing module 2 is integrated by a sweat sensor, a cortisol sensor, a blood glucose sensor, a blood oxygen sensor, a heart rate sensor, a humidity sensor, a pressure sensor, and a position sensor;

[0052] Sub-modules are set under the sensing module 2, including:

[0053] The power supply module 21 is used to provide the operating power for the sensing module 2 and the winding module 22;

[0054] The winding module 22 is used to wind the belt so that the belt fits the user's waist;

[0055] Among them, all the sensors in the sensing module 2 are evenly deployed in an array on the inner side of the belt and are in direct contact with the user's skin surface;

[0056] During the operation of the winding module 22, the user independently controls the winding degree, and calculates the user's waist circumference in real time based on the winding degree:

[0057]

[0058] In the formula: L is the user's waist circumference; L all is the total length of the belt; n is the number of winding circles of the winding module 22 during operation; x is the decimal part of n; d is the diameter of the winding roller on the winding module 22; T is the thickness of the belt; s is the rotation angle of the last circle of the winding roller on the winding module 22; is the result of rounding up n;

[0059] Among them, represents the constraint function. When s is 360 degrees or n is an integer, Conversely,

[0060] The user's waist circumference is calculated through the above formula.

[0061] The management module 3 is used to upload the user's body parameters and store the user's body parameters;

[0062] The user body parameters uploaded in management module 3 include: height, weight, body fat percentage, and waist circumference. After the user body parameters in management module 3 are uploaded, they are marked based on the user name from which the body parameters are sourced and then stored. The management module 3 internally has sub-modules, including:

[0063] A selection unit 31, which is used for the wearing user to select user body parameters in the management module 3 during the stage when the user wears the belt to start the system operation;

[0064] The selection unit 31 has sub-modules at a lower level, including:

[0065] An editing unit 32, which is used for editing and modifying user body parameters;

[0066] Among them, after the user wears the belt around the waist, the control terminal 1 controls the system operation. When all sensors in the sensing module 2 sense the user's motion state information, the currently sensed user's motion state information is used as the user's motion state information recorded for the first time, and the recording of the continuously sensed user's motion state information is performed;

[0067] An analysis module 4, which is used to obtain the motion state information of the user wearing the belt accumulated in the sensing module 2 and analyze the safety situation of the user's motion state based on the user's motion state information;

[0068] During the operation stage of the analysis module 4, the user's motion state information obtained in the sensing module 2 is sorted based on the sensing time. The user's motion state information includes: electrolyte concentration, metabolite content, pH value; cortisol level; blood glucose concentration; blood oxygen saturation; heart rate; skin surface humidity; position coordinates;

[0069] During the analysis stage of the safety situation of the user's motion state in the analysis module 4, the user's motion state characterization parameter is calculated based on the user's motion state information sensed at the same time:

[0070]

[0071] In the formula: K is the user's motion state characterization parameter; E x is the electrolyte concentration in the user's sweat; E0 is the standard electrolyte concentration in sweat; M x is the metabolite content in the user's sweat; M0 is the standard metabolite content in sweat; P x is the pH value of the user's sweat; P0 is the standard sweat pH value; C x is the user's cortisol level; C0 is the standard cortisol level; G x is the user's blood glucose concentration; G0 is the standard blood glucose concentration; 95% is the lower limit of the normal blood oxygen saturation range; O x is the user's blood oxygen saturation; H x is the user's heart rate; Hmax ~H min is the normal heart rate range; D x is the skin surface humidity of the user; D max ~D min is the skin surface humidity range caused by reasonable exercise sweating; ω1 and ω2 are weights;

[0072] Among them, the closer the user's exercise state characterization parameter K is to 1, the better the user's exercise state; the closer the user's exercise state characterization parameter K is to 0, the worse the user's exercise state. Both ω1 and ω2 are integers, and their sum is 1, and they follow

[0073] The user's exercise state information obtained from the cumulative records in the analysis module is calculated through the user's exercise state characterization parameter calculation formula, and the results are recorded as K1, K2, K3,...;

[0074] Then the user's exercise state safety situation analysis logic is expressed as:

[0075] Q = K1 / K2 / K3 / ...;

[0076] In the formula: Q is the user's exercise state safety situation value;

[0077] Among them, the larger Q is, the less suitable the user is to continue exercising currently; on the contrary, it means that the user is currently suitable to continue exercising;

[0078] Through the above logical formula, the safety of the user's exercise state is more accurately represented in a digital form, providing further support for the operation of the determination module 5 and the evaluation module 6 in this embodiment.

[0079] The determination module 5 is used to set the user state safety determination threshold, obtain the user state safety situation analysis result in the analysis module 4, and based on the comparison between the analysis result and the user state safety determination threshold, determine whether the user's current exercise state is healthy;

[0080] The user state safety determination threshold in the determination module 5 is user-defined by the system end. A speaker is installed inside the belt, and the speaker is electrically connected to the power supply module 21. The speaker stores a prompt audio inside, and the prompt audio is used to prompt the user wearing the belt to end the exercise. When the determination result of the determination module 5 is no, the speaker installed inside the belt is triggered to play the prompt audio through the wireless network;

[0081] The evaluation module 6 is used to identify the duration of each exercise process when the user ends the exercise based on the determination result of the determination module 5 in the user's historical exercise, and evaluate the tendency of the user's physical fitness level based on the duration of the exercise process;

[0082] The user status safety determination threshold in the determination module 5 is user-defined by the system terminal. A speaker is installed inside the belt, and the speaker is electrically connected to the power supply module 21. The speaker stores a reminder audio, and the reminder audio is used to remind the user wearing the belt to end the exercise. When the determination result of the determination module 5 is negative, the speaker installed inside the belt is triggered to play the reminder audio through the wireless network;

[0083] The control terminal 1 is connected to the sensing module 2 through wireless network interaction. The lower level of the sensing module 2 is connected to the power supply module 21 and the winding module 22 through wireless network interaction. The sensing module 2 is connected to the management module 3 through wireless network interaction. Inside the management module 3, there is a selection unit 31 connected through wireless network interaction. The lower level of the selection unit 31 is connected to the editing unit 32 through wireless network interaction. The management module 3 is connected to the analysis module 4, the determination module 5 and the evaluation module 6 through wireless network interaction.

[0084] In this embodiment, the control terminal 1 controls the sensing module 2 to run and real-time sense the exercise state information of the user wearing the belt, and synchronously records the user state information. The power supply module 21 synchronously provides power for the operation of the sensing module 2 and the winding module 22. The winding module 22 winds the belt in real time to make the belt fit the user's waist. The management module 3 runs later to upload the user's body parameters and store the user's body parameters. The selection unit 31 synchronously allows the user wearing the belt to select the user's body parameters in the management module 3 during the startup stage of the system when the user wears the belt. The editing unit 32 edits and modifies the user's body parameters in real time. Then, the analysis module 4 obtains the exercise state information of the user wearing the belt accumulated and recorded in the sensing module 2, analyzes the exercise state safety situation of the user based on the user's exercise state information, and sets the user state safety determination threshold through the determination module 5. The analysis result of the user state safety situation in the analysis module 4 is obtained, and based on the comparison between the analysis result and the user state safety determination threshold, it is determined whether the user's current exercise state is healthy. Finally, the evaluation module 6 identifies the duration of each exercise process when the exercise ends based on the determination result of the determination module 5 in the user's historical exercise, and evaluates the tendency of the user's physical fitness level based on the duration of the exercise process;

[0085] Through the operation of the system in the above embodiment, a wearable user exercise state monitoring service is brought to the user. Compared with the prior art, it has a higher degree of intelligence, can form real-time interaction with the user, and ensures that the user is safer during the exercise process.

[0086] As Figure 1 shown, the analysis module 4 moves synchronously with the updated recorded user state information in the sensing module 2. During the operation stage of the analysis module 4, based on the historical analysis of the user's exercise state safety situation, a trend chart representing the change of the user's exercise state safety situation is generated;

[0087] Among them, the trend chart representing the change in the safety situation of the user's exercise state is a line chart. The horizontal axis of the line chart represents time, and the vertical axis represents the safety situation value of the user's exercise state.

[0088] Through the above settings, during the process of the system in the above embodiment monitoring the health of the user's exercise state, a visual reading effect is further provided, so as to facilitate the user to more quickly read the change trend of their own state.

[0089] In summary, during the operation of the system in the above embodiment, with the belt as the main body combined with multiple sensors, in the exercise scenario, the user's exercise state information is perceived in real time, and then based on the perceived user exercise state parameters, the safety situation of the user's exercise state is analyzed. Further, through the safety situation of the user's exercise state, a determination is made on whether the user is currently suitable to continue exercising, effectively serving the user's exercise health management, ensuring the rationality of the user's exercise, and at the same time, the change in the user's physical fitness level can also be comprehensively evaluated based on the historical safety situation of the user's exercise state. Based on this, a more convenient and simple wearable device health management service is brought to the user.

[0090] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent belt motion monitoring and warning system, characterized in that, Including: The control terminal (1), which is the main control end of the system and is used to control the operation or shutdown of the system; The sensing module (2), which is used to sense the motion state information of the user wearing the belt in real time and synchronously record the user state information; The management module (3), which is used to upload the user's body parameters and store the user's body parameters; The analysis module (4), which is used to obtain the motion state information of the user wearing the belt cumulatively recorded in the sensing module (2) and analyze the safety situation of the user's motion state based on the user's motion state information; The determination module (5), which is used to set the safety determination threshold of the user state, obtain the analysis result of the user state safety situation in the analysis module (4), and determine whether the user's current motion state is healthy based on the comparison between the analysis result and the user state safety determination threshold; The evaluation module (6), which is used to identify the duration of each exercise process when the exercise ends based on the determination result of the determination module (5) in the user's historical exercises, and evaluate the tendency of the user's physical fitness level based on the duration of the exercise process.

2. The intelligent belt motion monitoring and warning system according to claim 1, characterized in that, The sensing module (2) is integrated by a sweat sensor, a cortisol sensor, a blood glucose sensor, a blood oxygen sensor, a heart rate sensor, a humidity sensor, a pressure sensor, and a position sensor; Sub-modules are set under the sensing module (2), including: The power supply module (21), which is used to provide the operating power for the sensing module (2) and the winding module (22); The winding module (22), which is used to wind the belt to make the belt fit the user's waist; Among them, all the sensors in the sensing module (2) are uniformly deployed in an array on the inner side of the belt and are in direct contact with the user's skin surface.

3. The intelligent belt motion monitoring and warning system according to claim 1, characterized in that During the operation stage of the winding module (22), the user independently controls the winding degree, and the user's waist circumference is calculated in real time based on the winding degree: Where: L is the user's waist circumference; L all is the total length of the belt; n is the number of winding circles when the winding module (22) operates; x is the decimal part of n; d is the diameter of the winding roller on the winding module (22); T is the belt thickness; s is the rotation angle of the last circle of the winding roller on the winding module (22); is the result of rounding up n; Among them, represents a constraint function. When s is 360 degrees or n is an integer, On the contrary, 4. An intelligent belt motion monitoring and warning system according to claim 1, characterized in that, The user body parameters uploaded in the management module (3) include: height, weight, body fat percentage, waist circumference. After the user body parameters in the management module (3) are uploaded, they are synchronously marked based on the user name from which the user body parameters are obtained, and then the storage operation is performed. Sub-modules are set inside the management module (3), including: The selection unit (31), which is used to allow the wearing user to select the user body parameters in the management module (3) during the stage when the user wears the belt and starts the system operation; Sub-modules are set under the selection unit (31), including: The editing unit (32), which is used to edit and modify the user body parameters; Among them, after the user wears the belt on the waist, the control terminal (1) controls the system to run. When all the sensors in the sensing module (2) sense the user motion state information, the currently sensed user motion state information is used as the first recorded user motion state information, and the continuous sensing of the user motion state information is performed.

5. An intelligent belt motion monitoring and warning system according to claim 1, characterized in that, During the operation stage of the analysis module (4), the user motion state information obtained in the sensing module (2) is sorted based on the sensing time. The user motion state information includes: electrolyte concentration, metabolite content, pH value; cortisol level; blood glucose concentration; blood oxygen saturation; heart rate; skin surface humidity; position coordinates; In the user motion state safety situation analysis stage of the analysis module (4), based on the user motion state information sensed at the same time, calculate the user motion state characterization parameters: Where: K is a parameter characterizing the user's exercise state; E x is the electrolyte concentration in the user's sweat; E0 is the standard electrolyte concentration in sweat; M x is the metabolite content in the user's sweat; M0 is the standard metabolite content in sweat; P x is the pH value of the user's sweat; P0 is the standard pH value of sweat; C x is the user's cortisol level; C0 is the standard cortisol level; G x is the user's blood glucose concentration; G0 is the standard blood glucose concentration; 95% is the lower limit of the normal blood oxygen saturation range; O x is the user's blood oxygen saturation; H x is the user's heart rate; H max ~H min is the normal heart rate range; D x is the skin surface humidity of the user; D max ~D min is the skin surface humidity range caused by reasonable exercise sweating; ω1, ω2 are weights; Among them, the closer the user's motion state characterization parameter K is to 1, the better the user's motion state; the closer the user's motion state characterization parameter K is to 0, the worse the user's motion state. Both ω1 and ω2 are integers, and their sum is 1, and they follow 6. The intelligent belt motion monitoring and warning system according to claim 5, characterized in that The cumulative recorded user motion state information obtained in the analysis module (4) is calculated through the user motion state characterization parameter calculation formula, and the results are denoted as K1, K2, K3,...; Then the user motion state safety situation analysis logic is expressed as: Q = K1 / K2 / K3 / ...; In the formula: Q is the user motion state safety situation value; Among them, the larger Q is, the less suitable the user is to continue exercising currently. On the contrary, it means that the user is currently suitable to continue exercising.

7. The intelligent belt motion monitoring and warning system according to claim 1, wherein In the determination module (5), the user state safety determination threshold is user-defined by the system terminal. A speaker is installed inside the belt, and the speaker is electrically connected to the power supply module (21). The speaker stores a prompt audio, and the prompt audio is used to prompt the user wearing the belt to end the exercise. When the determination result of the determination module (5) is negative, the speaker installed inside the belt is triggered to play the prompt audio through the wireless network.

8. An intelligent belt motion monitoring and warning system according to claim 1, characterized in that The logic for evaluating the tendency of the user's physical fitness level in the evaluation module (6) is expressed as: Based on the time sequence, sort the durations of each recognized exercise process. When the sorted queue is a continuously increasing queue, it means that the user's physical fitness is on the rise. When the sorted queue is a continuously decreasing queue, it means that the user's physical fitness is on the decline.

9. An intelligent belt motion monitoring and warning system according to claim 1, characterized in that The analysis module (4) moves synchronously with the updated recorded user state information in the sensing module (2). During the operation stage of the analysis module (4), based on the historical analysis of the user motion state safety situation, generate a trend chart representing the change of the user motion state safety situation; Among them, the trend chart representing the change of the user motion state safety situation is a line chart. The horizontal axis of the line chart represents time, and the vertical axis represents the user motion state safety situation value.

10. The intelligent belt motion monitoring and warning system according to claim 1, characterized in that The control terminal (1) is wirelessly interconnected with the sensing module (2). The sensing module (2) is wirelessly interconnected with the power supply module (21) and the winding module (22) at a lower level. The sensing module (2) is wirelessly interconnected with the management module (3). Inside the management module (3), there is a wireless interconnection with the selection unit (31). The selection unit (31) is wirelessly interconnected with the editing unit (32) at a lower level. The management module (3) is wirelessly interconnected with the analysis module (4), the determination module (5), and the evaluation module (6).

Citation Information

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