Optimization method and system for multi-parameter electric control display of fitness equipment electronic watch

Abstract

The present application relates to the field of intelligent fitness equipment and health monitoring technology, a fitness equipment electronic watch multi-parameter electric control display optimization method and system, comprising: receiving a multi-parameter display optimization instruction, confirming a multi-parameter optimization system based on the multi-parameter display optimization instruction, obtaining a movement mode, obtaining a movement duration, obtaining a plurality of monitoring time periods based on the movement duration, a preset movement start time, the movement mode and a preset confirmation method, obtaining an initial adjustable display area and an initial auxiliary display area based on a multi-parameter display screen, constructing a display scheme based on the plurality of monitoring time periods, a threshold node set, a monitoring parameter acquisition unit, an environment brightness sensor, an infrared camera, the initial adjustable display area and the initial auxiliary display area, wherein the display scheme is a first display scheme or a second display scheme, and the multi-parameter electric control display optimization of the fitness equipment electronic watch is realized based on the display scheme. The present application can improve the dynamic adaptability of the display optimization of the fitness equipment electronic watch.

Description

Technical Field

[0001] This invention relates to the field of intelligent fitness equipment and health monitoring technology, and in particular to a method and system for optimizing multi-parameter electronic control display of fitness equipment. Background Technology

[0002] Modern fitness equipment can monitor multiple physiological indicators such as heart rate, blood oxygen, and calories in real time, and present them intuitively on a display screen. An optimized display system can efficiently integrate multi-dimensional data, helping users quickly grasp their exercise status and avoiding misjudgments caused by information overload or display confusion. Especially during high-intensity training, accurate parameter display can provide timely warnings of potential risks (such as tachycardia), providing data support for scientific fitness. Therefore, the optimization of multi-parameter electronic control displays in fitness equipment is of great significance for improving user experience and exercise safety.

[0003] Currently, the display systems of traditional fitness equipment electronic watches have obvious limitations. First, the parameter layout is fixed and cannot be dynamically adjusted according to exercise risks, and key indicators may be overwhelmed by secondary information. Second, the display brightness does not match the ambient light intensity, resulting in poor visibility in strong light or glare in dark environments.

[0004] While traditional fitness equipment displays can show monitoring parameters during operation, they often lack intelligent alert mechanisms, making it difficult for users to quickly locate abnormal parameters. Furthermore, they fail to consider factors such as eye fatigue or exercise duration, potentially leading to visual discomfort with prolonged use. These shortcomings reduce data acquisition efficiency and may even delay timely risk intervention. Therefore, optimizing the display of fitness equipment displays has become an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a method for optimizing the multi-parameter electronic control display of fitness equipment and a computer-readable storage medium, the main purpose of which is to achieve accurate control of electric heat tracing pipes.

[0006] To achieve the above objectives, the present invention provides a method for optimizing the multi-parameter electronic control display of a fitness equipment electronic watch, comprising:

[0007] The system receives a multi-parameter display optimization command and confirms a multi-parameter optimization system based on the command. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0008] Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0009] Acquire a motion pattern, wherein the motion pattern is a free mode or a fixed mode;

[0010] The exercise duration is obtained, and multiple monitoring periods are obtained based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method. Each monitoring period includes a monitoring start time and a monitoring end time.

[0011] The initial adjustable display area and the initial auxiliary display area are obtained based on a multi-parameter display screen;

[0012] A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0013] Optionally, obtaining the monitoring parameter set includes:

[0014] Obtain the set of necessary parameters, which contains multiple necessary parameters;

[0015] Obtain a set of preference parameter nodes, wherein the set of preference parameter nodes contains multiple preference parameter nodes, and each preference parameter node contains preference parameters and preference degree;

[0016] The number of preference parameter nodes in the preference parameter node set is counted to obtain the number of preferences.

[0017] Compare the number of preferences with a preset threshold for the number of preferences;

[0018] If the number of preferences is less than or equal to the threshold for the number of preferences, the preference parameter set is obtained based on the preference parameter node set, and the preference parameter set and the necessary parameter set are summarized to obtain the monitoring parameter set;

[0019] Otherwise, sort the preference parameters corresponding to the preference parameter nodes in the preference parameter node set in descending order of preference degree to obtain the preference sequence.

[0020] Multiple preferred preference parameters are obtained based on the preference sequence, wherein the position of each preferred preference parameter in the preference sequence is less than or equal to the preference quantity threshold.

[0021] By summarizing multiple preference parameters and necessary parameter sets, a monitoring parameter set is obtained.

[0022] Optionally, the acquisition of multiple monitoring time periods based on the exercise duration, preset exercise start time, exercise mode, exercise confirmation unit, and preset confirmation method includes:

[0023] An initial exercise plan is obtained based on the exercise duration, the exercise confirmation unit, and the exercise start time.

[0024] If the motion mode is a fixed mode, multiple fixed monitoring time periods are obtained based on the initial motion plan;

[0025] If the exercise mode is free mode, multiple free monitoring periods are obtained based on the initial exercise plan and the preset monitoring period adjustment method;

[0026] Multiple monitoring periods are defined as either the multiple fixed monitoring periods or the multiple free monitoring periods.

[0027] Optionally, obtaining the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen includes:

[0028] Obtain the display height and display angle of the multi-parameter display screen respectively;

[0029] The user's line-of-sight height is obtained based on pre-built detection technology;

[0030] The target distance value is obtained based on the user's line-of-sight height, display height, display angle, and a preset target distance calculation formula;

[0031] The target center horizontal axis is obtained based on the target distance value. An initial adjustable display area is obtained using the target center horizontal axis and a preset area acquisition method. An initial auxiliary display area is obtained based on the initial adjustable display area and a multi-parameter display screen.

[0032] Optionally, the display scheme constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area includes:

[0033] Perform the following operations for each of the multiple monitoring periods:

[0034] The exercise time is acquired in real time. When the exercise time reaches the monitoring start time corresponding to the monitoring period, the following operations are performed on each monitoring parameter in the monitoring parameter set:

[0035] The monitoring node set is obtained based on the monitoring parameter acquisition unit and the monitoring time period. The monitoring node set contains multiple monitoring nodes, and each monitoring node contains monitoring values ​​and monitoring time.

[0036] By aggregating the monitoring node sets, multiple monitoring node sets are obtained;

[0037] When the exercise time reaches the monitoring end time corresponding to the monitoring period, the continuous exercise duration is obtained based on the monitoring period, wherein the continuous exercise duration is the time interval between the monitoring start time and the monitoring end time corresponding to the monitoring period, and the target display brightness value is obtained based on the continuous exercise duration, the ambient brightness sensor and the infrared camera.

[0038] For each of the multiple monitoring node sets, perform the following operations:

[0039] The monitoring nodes in the monitoring node set are sorted in order from back to front according to the monitoring time to obtain the monitoring sequence, wherein the monitoring sequence corresponds one-to-one with the monitoring parameters;

[0040] By summarizing the monitoring sequences, multiple monitoring sequences are obtained.

[0041] The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence;

[0042] Confirm whether the monitored sequence and threshold nodes meet the pre-built warning conditions, wherein the warning conditions are as follows:

[0043]

[0044] Where n represents the total number of monitoring nodes in the monitoring sequence, a1, a... i a i-1 T represents the monitoring values ​​corresponding to the 1st, i-th, and (i-1)th monitoring nodes in the monitoring sequence, respectively. i T i-1 These represent the monitoring times corresponding to the 1st, i-th, and (i-1)th monitoring nodes in the monitoring sequence, respectively, and Δa represents the threshold rate corresponding to the threshold node. h a represents the upper limit of the threshold corresponding to the threshold node. l This indicates the lower limit of the threshold corresponding to the threshold node;

[0045] If no monitoring sequence or threshold node meets the warning conditions, a first display scheme is constructed based on multiple monitoring sequences, threshold node sets, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value. Otherwise, one or more warning node sets are obtained based on multiple monitoring sequences, wherein each warning node set in the one or more warning node sets meets the warning conditions.

[0046] A second display scheme is constructed based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value;

[0047] The first display scheme or the second display scheme shall be used as the display scheme.

[0048] Optionally, the step of acquiring the target display brightness value based on the continuous motion duration, the ambient brightness sensor, and the infrared camera includes:

[0049] The current ambient brightness value is obtained based on the ambient brightness sensor;

[0050] The infrared camera is used to obtain the eye fatigue coefficient;

[0051] The target display brightness value is obtained based on the current ambient brightness value, eye fatigue coefficient, duration of continuous exercise, and a pre-constructed formula for calculating the target display brightness value. The formula for calculating the target display brightness value is as follows:

[0052]

[0053] Among them, B d B represents the target display brightness value. max B represents the preset maximum display brightness value. min L represents the preset minimum display brightness value. c L represents the current ambient brightness value. min Indicates the preset lower limit of ambient brightness value, L max The preset upper limit of ambient brightness value is represented by t, the duration of continuous exercise is represented by E, and the eye fatigue coefficient is represented by t. max The maximum continuous motion duration threshold is represented by w1, w2, and w3, which represent the first, second, and third preset weights, respectively.

[0054] Optionally, the construction of the first display scheme based on multiple monitoring sequences, a threshold node set, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value includes:

[0055] The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence;

[0056] The rate ratio is obtained based on the monitoring sequence, threshold nodes, and a pre-constructed rate ratio calculation formula;

[0057] The monitoring nodes are extracted and analyzed from the monitoring sequence, wherein the monitoring nodes are the monitoring nodes with the first position in the monitoring sequence;

[0058] The analysis values ​​are the monitoring values ​​corresponding to the monitoring nodes.

[0059] The monitoring parameters corresponding to the monitoring nodes are used as the analysis monitoring parameters;

[0060] By correlating the rate ratio, the analysis parameter value, and the analysis monitoring parameter, an analysis node is obtained;

[0061] By summarizing the analyzed nodes, a set of analyzed nodes is obtained;

[0062] A first display scheme is constructed based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value.

[0063] Optionally, the step of constructing the first display scheme based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes:

[0064] The analysis values ​​corresponding to the analysis nodes in the analysis node set are sorted in descending order of rate ratio to obtain the analysis sequence;

[0065] A core value set and an auxiliary value set are obtained based on the analysis sequence and a preset position threshold. The core values ​​in the core value set are all less than or equal to the position threshold in the analysis sequence, and the auxiliary values ​​in the auxiliary value set are all greater than the position threshold in the analysis sequence.

[0066] A first display scheme is constructed based on the core value set, auxiliary value set, initial adjustable display area, initial auxiliary display area, and target display brightness value, wherein the first display scheme is as follows:

[0067] Based on the initial adjustable display area, the target display brightness value, and the preset core area background, the core display area is obtained, and the core parameter value set is displayed using the core display area to obtain the visualized core parameter area;

[0068] Based on the initial auxiliary display area, the target display brightness value, and the preset auxiliary area background, an auxiliary display area is obtained. The auxiliary parameter value set is displayed using the auxiliary display area to obtain a visualized auxiliary parameter area. The first display scheme includes a visualized core parameter area and a visualized auxiliary parameter area.

[0069] Optionally, the construction of the second display scheme based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes:

[0070] Obtain the first-level warning value set based on one or more warning node sets;

[0071] The number of monitored parameters in the monitoring parameter set and the number of warning nodes in one or more warning node sets are counted separately to obtain the number of monitored parameters and the number of warnings.

[0072] Calculate the ratio of the number of warnings to the number of monitoring sessions to obtain the warning ratio;

[0073] A second display scheme is constructed using the warning ratio, an initial adjustable display area, and an initial auxiliary display area, as shown below:

[0074] If the warning ratio is less than or equal to the preset warning ratio threshold, the initial adjustable display area shall be used as the initial first warning display area;

[0075] The first warning display area is obtained based on the initial first warning display area, the target display brightness value, and the preset first warning area background;

[0076] Otherwise, the initial adjustable display area and the initial auxiliary display area are adjusted using a preset display area adjustment method to obtain an initial second warning display area, wherein the area of ​​the initial second warning display area is larger than the area of ​​the initial first warning display area;

[0077] The second warning display area is obtained based on the initial second warning display area, the target display brightness value, and the preset second warning area background;

[0078] The first warning value set is displayed in the first warning display area or the second warning display area to obtain a visual warning parameter area, wherein the second display scheme includes the visual warning parameter area.

[0079] To achieve the above objectives, the present invention also provides a multi-parameter electronic control display optimization system for fitness equipment, comprising:

[0080] The monitoring parameter acquisition module is used to receive multi-parameter display optimization instructions and confirm the multi-parameter optimization system based on the multi-parameter display optimization instructions. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0081] Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0082] The exercise period confirmation module is used to obtain the exercise mode, wherein the exercise mode is a free mode or a fixed mode;

[0083] The display partition initialization module is used to obtain the exercise duration. Based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method, multiple monitoring time periods are obtained. Each monitoring time period includes a monitoring start time and a monitoring end time.

[0084] The display partition optimization module is used to obtain the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen.

[0085] A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0086] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0087] A memory that stores at least one instruction; and a processor that executes the instructions stored in the memory to implement the above-described method for optimizing the multi-parameter electronic control display of fitness equipment electronic watches.

[0088] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for optimizing the multi-parameter electronic control display of fitness equipment.

[0089] To address the problems described in the background art, this invention receives a multi-parameter display optimization instruction and, based on this instruction, establishes a multi-parameter optimization system. This system includes a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera. It acquires a monitoring parameter set, which contains multiple monitoring parameters. A threshold node set is then obtained based on this set, containing multiple threshold nodes, each with a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter. This invention dynamically integrates necessary parameters (for motion safety monitoring) with user preference parameters (to meet personalized monitoring needs), generating a monitoring parameter set based on intelligent threshold control. This ensures that the multi-parameter display screen fully presents the necessary safety monitoring parameters and prioritizes the display of key monitoring information according to user preferences, effectively solving the dual problems of easily missing necessary parameters and difficulty in focusing on massive numbers of parameters in traditional display solutions.This dynamic balancing mechanism ensures both the rigid requirements of sports safety monitoring and improves the efficiency of users obtaining key information. The invention acquires sports modes, which can be free or fixed modes, and sports duration. Based on the sports duration, a preset sports start time, sports mode, and a preset confirmation method, multiple monitoring periods are acquired. Each monitoring period includes a monitoring start time and a monitoring end time. An initial adjustable display area and an initial auxiliary display area are acquired based on a multi-parameter display screen. This invention dynamically divides the initial adjustable display area (core / warning parameter area) and the initial auxiliary display area (auxiliary parameter area) by acquiring the target distance value, replacing mechanical hardware adjustment with software virtual partitioning. This allows the core parameter area to intelligently follow the user's line of sight, achieving an adaptive layout of the multi-parameter display screen. The invention constructs a display scheme based on multiple monitoring periods, a threshold node set, a monitoring parameter acquisition unit, an ambient brightness sensor, an infrared camera, the initial adjustable display area, and the initial auxiliary display area. The display scheme can be a first display scheme or a second display scheme. This invention optimizes the multi-parameter electronic display of fitness equipment displays. It determines whether monitored values ​​are too fast or exceed limits during the monitoring period. When there is a risk of exercise, it prioritizes displaying core / warning values ​​(building a second display scheme) to remind users to pay attention to their current exercise status. When there is no risk, it maintains the normal partitioning (building a first display scheme), improving the user's convenience in obtaining key exercise status. Adaptive partitioning display is achieved through dynamic priority sorting, ensuring core values ​​are presented first. Different backgrounds in different areas enhance core content, achieving adaptive partitioning display. This not only optimizes the interface layout of the multi-parameter display screen but also improves the efficiency of information acquisition during exercise. By quantifying the proportion of warning parameters (warning ratio), it intelligently switches between local / global warning modes. Using area expansion (display area adjustment method) and visual enhancement (distinguishing the backgrounds of the first / second warning areas) achieves precise matching of warning intensity and risk level, allowing users to obtain key warning parameter information faster and more conveniently, improving the efficiency of exercise safety monitoring. Therefore, this invention can improve the dynamic adaptability of fitness equipment electronic display optimization. Attached Figure Description

[0090] Figure 1 This is a flowchart illustrating a method for optimizing the multi-parameter electronic control display of fitness equipment according to an embodiment of the present invention.

[0091] Figure 2 This is a functional block diagram of a multi-parameter electronic control display optimization system for fitness equipment provided in an embodiment of the present invention;

[0092] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the multi-parameter electronic control display optimization method for fitness equipment electronic watches, according to an embodiment of the present invention.

[0093] Explanation of reference numerals in the attached figures:

[0094] 1. Electronic device; 10. Processor; 11. Storage device; 12. Bus.

[0095] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0096] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0097] This application provides a method for optimizing the multi-parameter electronic control display of a fitness equipment electronic watch. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0098] Reference Figure 1 The diagram shown is a flowchart illustrating a multi-parameter electronic control display optimization method for fitness equipment electronic watches according to an embodiment of the present invention. In this embodiment, the multi-parameter electronic control display optimization method for fitness equipment electronic watches includes:

[0099] S1. Receive a multi-parameter display optimization instruction, and confirm a multi-parameter optimization system based on the multi-parameter display optimization instruction. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0100] It is understood that the multi-parameter display optimization command is issued by a person who wants to optimize the display layout of the multi-parameter display screen of the fitness equipment. The multi-parameter optimization system is software or an app used to optimize the display of the multi-parameter display screen of the fitness equipment. The multi-parameter optimization system includes a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera. For specific applications of the units and components, please refer to subsequent embodiments.

[0101] S2. Obtain the monitoring parameter set, which contains multiple monitoring parameters. Obtain the threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, a threshold upper limit, and a threshold lower limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0102] It should be explained that the acquisition of the monitoring parameter set includes:

[0103] Obtain the set of necessary parameters, which contains multiple necessary parameters;

[0104] Obtain a set of preference parameter nodes, wherein the set of preference parameter nodes contains multiple preference parameter nodes, and each preference parameter node contains preference parameters and preference degree;

[0105] The number of preference parameter nodes in the preference parameter node set is counted to obtain the number of preferences.

[0106] Compare the number of preferences with a preset threshold for the number of preferences;

[0107] If the number of preferences is less than or equal to the threshold for the number of preferences, the preference parameter set is obtained based on the preference parameter node set, and the preference parameter set and the necessary parameter set are summarized to obtain the monitoring parameter set;

[0108] Otherwise, sort the preference parameters corresponding to the preference parameter nodes in the preference parameter node set in descending order of preference degree to obtain the preference sequence.

[0109] Multiple preferred preference parameters are obtained based on the preference sequence, wherein the position of each preferred preference parameter in the preference sequence is less than or equal to the preference quantity threshold.

[0110] By summarizing multiple preference parameters and necessary parameter sets, a monitoring parameter set is obtained.

[0111] It should be understood that the monitoring parameters refer to parameter values ​​collected in real time during the operation of the fitness equipment to reflect the user's current exercise status. Optionally, the monitoring parameters include, but are not limited to, heart rate, blood oxygen, and blood pressure. The necessary parameters refer to parameters that the user must monitor during exercise to ensure safety during the exercise process.

[0112] For example, suppose the necessary parameter set is {heart rate, blood oxygen}, and the preferred parameter node set is {(blood pressure -86), (stride length -75), (cadence -90), (average pace -98)}. Taking the preferred parameter node (blood pressure -86) as an example, this node indicates that the user's preference for the preferred parameter blood pressure during exercise is 86. In this example, the number of preferences is 4. Assuming the threshold for the number of preferences is 5, and the number of preferences is 4 less than or equal to the threshold of 5, the preferred parameter set becomes {blood pressure, stride length, cadence, average pace}. At this point, the monitored parameter set is the necessary parameter set {heart rate, blood oxygen} and the preferred parameter set {blood pressure, stride length, cadence, average pace}. The union of stride length, cadence, and average pace is represented as {heart rate, blood oxygen, blood pressure, stride length, cadence, and average pace}. Assuming a preference threshold of 3, and a preference quantity of 4 being greater than the threshold of 3, the resulting preference sequence is {average pace, cadence, blood pressure, stride length}. Multiple preferred preference parameters are then identified as the first-ranked preference parameter in the preference sequence – average pace, the second-ranked preference parameter – cadence, and the third-ranked preference parameter – blood pressure. At this point, the monitoring parameter set is the union of the necessary parameter set {heart rate, blood oxygen} and the multiple preferred preference parameters average pace, cadence, and blood pressure, represented as {heart rate, blood oxygen, average pace, cadence, and blood pressure}. The methods for obtaining the preference degree include, but are not limited to, analyzing the user's historical exercise behavior habits and user-defined preferences. This invention dynamically integrates necessary parameters (for sports safety monitoring) with user preference parameters (to meet personalized monitoring needs), generating a monitoring parameter set based on intelligent threshold control. This ensures that the multi-parameter display screen fully presents the necessary safety monitoring parameters while prioritizing the display of key monitoring information according to user preferences. This effectively solves the dual problems of neglecting necessary parameters and difficulty in focusing on a large number of parameters in traditional display solutions. Through this dynamic balancing mechanism, the rigid requirements of sports safety monitoring are guaranteed while improving the efficiency of users obtaining key information.

[0113] Understandably, the threshold rate is a manually set maximum allowable rate of change of the monitored value per unit time. The upper threshold is a manually set maximum allowable value of the monitored parameter during exercise, and the lower threshold is a manually set minimum allowable value of the monitored parameter during exercise. For example, assuming the threshold node corresponding to the monitored parameter heart rate is {heart rate: 6bpm / min-110bpm-160bpm}, it means that during exercise, the threshold rate of the monitored parameter heart rate is 6bpm / min, the lower threshold is 110bpm, and the upper threshold is 160bpm.

[0114] S3. Obtain the motion mode, wherein the motion mode is a free mode or a fixed mode.

[0115] Understandably, the exercise mode is a type of exercise rhythm control mode confirmed before the start of exercise. The fixed mode is a fixed type of exercise rhythm control mode, that is, the user exercises according to a predetermined monitoring period and a predetermined interval between adjacent monitoring periods. The free mode is a type of adjustable exercise rhythm control mode, that is, the user can adjust the duration of each monitoring period or the interval between adjacent monitoring periods according to their own conditions or exercise needs.

[0116] S4. Obtain exercise duration. Based on the exercise duration, preset exercise start time, exercise mode, exercise confirmation unit and preset confirmation method, obtain multiple monitoring time periods, wherein each monitoring time period includes a monitoring start time and a monitoring end time.

[0117] In detail, the method of obtaining multiple monitoring time periods based on the exercise duration, preset exercise start time, exercise mode, exercise confirmation unit, and preset confirmation method includes:

[0118] An initial exercise plan is obtained based on the exercise duration, the exercise confirmation unit, and the exercise start time.

[0119] If the motion mode is a fixed mode, multiple fixed monitoring time periods are obtained based on the initial motion plan;

[0120] If the exercise mode is free mode, multiple free monitoring periods are obtained based on the initial exercise plan and the preset monitoring period adjustment method;

[0121] Multiple monitoring periods are defined as either the multiple fixed monitoring periods or the multiple free monitoring periods.

[0122] It is understood that the exercise duration mentioned in the exercise confirmation unit is the total duration required by the user for a certain exercise session. For example, if a user plans to exercise on a treadmill for 1 hour, starting at 10:00 AM on a certain day, the process of obtaining multiple monitoring time periods using the confirmation method is as follows: The user inputs the exercise duration of 1 hour and the exercise start time of 10:00 AM on the display page of the exercise confirmation unit. After receiving the exercise duration and start time, the exercise confirmation unit presents an initial exercise plan on the display page: the first monitoring time period (10:00-10:10), the second monitoring time period (10:15-10:30), the third monitoring time period (10:35-10:45), and the fourth monitoring time period (10:50-11:00). The user selects an exercise mode. If a fixed mode is selected, the multiple monitoring time periods are the four periods given in the initial exercise plan. In a monitoring period, if the user selects the free mode, the user can adjust the initial exercise plan according to their own condition or training needs through the preset monitoring period adjustment method. Optionally, the monitoring period adjustment method includes, but is not limited to: increasing or decreasing the corresponding duration of the monitoring period, increasing or decreasing the interval time between adjacent monitoring periods. The process of obtaining multiple free monitoring periods is as follows. For example, assuming that the user enters adjustment information on the display page of the exercise confirmation unit according to their usual exercise habits: for example, selecting to increase by 5 minutes in the monitoring period confirmation and selecting no change in the interval time confirmation between adjacent monitoring periods, the exercise confirmation unit finally gives the adjusted multiple free monitoring periods as follows: the first monitoring period (10:00-10:15), the second monitoring period (10:20-10:40), and the third monitoring period (10:45-11:00).

[0123] S5. Obtain the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen.

[0124] It should be explained that the acquisition of the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen includes:

[0125] Obtain the display height and display angle of the multi-parameter display screen respectively;

[0126] The user's line-of-sight height is obtained based on pre-built detection technology;

[0127] The target distance value is obtained based on the user's line-of-sight height, display height, display angle, and a preset target distance calculation formula, wherein the target distance calculation formula is as follows:

[0128]

[0129] Among them, H s H represents the target distance value. eH represents the user's line-of-sight height. b The display height is represented by θ, the display angle is represented by sinθ, and the sine value of the display angle is represented by sinθ.

[0130] The target center horizontal axis is obtained based on the target distance value. An initial adjustable display area is obtained using the target center horizontal axis and a preset area acquisition method. An initial auxiliary display area is obtained based on the initial adjustable display area and a multi-parameter display screen.

[0131] Understandably, the multi-parameter display screen is a human-computer interaction interface on fitness equipment used to dynamically display a set of monitoring parameters (including necessary parameters and user preference parameters), supporting adaptive adjustments to layout and brightness. The display height represents the vertical distance of the bottom of the multi-parameter display screen relative to the horizontal ground. The display angle represents the tilt angle between the display plane of the multi-parameter display screen and the horizontal ground, used to quantify the pitch posture of the multi-parameter display screen. The user's eye level represents the vertical distance between the user's eyes and the horizontal ground in a natural standing or moving posture, used to determine the visual alignment reference between the user's eyes and the multi-parameter display screen. The pre-built detection technology is a gaze-tracking technology pre-established through sensors and algorithms, used to detect the spatial position of the user's eyes. Optionally, the OpenCV+Dlib facial feature point detection algorithm can be used to achieve this process; this is existing technology and will not be elaborated upon here. The target distance value is the distance measured upwards from the bottom of the multi-parameter display screen along its surface, calculated based on the user's eye level, display height, and display angle. It is used to accurately determine the optimal layout reference position of the display content, achieving the optimal balance between visual comfort and information acquisition efficiency in human-computer interaction.

[0132] It should be understood that the target center horizontal axis is a virtual baseline determined on the multi-parameter display screen based on the target distance value. The region acquisition method is an adaptive layout method that assigns dynamic weights to the display area, generating a core display area symmetrically with the target center horizontal axis as the center, and the weight decreases exponentially with the increase of distance from the center line. Optionally, this process can be achieved by using a dynamic focusing algorithm based on Gaussian weight distribution as the region acquisition algorithm, which is existing technology and will not be described in detail here. This embodiment of the invention dynamically divides the initial adjustable display area (core / warning parameter area) and the initial auxiliary display area (auxiliary parameter area) by acquiring the target distance value, replacing hardware mechanical adjustment with software virtual partitioning, so that the core parameter area intelligently follows the user's line of sight, realizing the adaptive layout of the multi-parameter display screen.

[0133] S6. A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0134] It should be explained that the display scheme constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, initial adjustable display areas, and initial auxiliary display areas includes:

[0135] Perform the following operations for each of the multiple monitoring periods:

[0136] The exercise time is acquired in real time. When the exercise time reaches the monitoring start time corresponding to the monitoring period, the following operations are performed on each monitoring parameter in the monitoring parameter set:

[0137] The monitoring node set is obtained based on the monitoring parameter acquisition unit and the monitoring time period. The monitoring node set contains multiple monitoring nodes, and each monitoring node contains monitoring values ​​and monitoring time.

[0138] By aggregating the monitoring node sets, multiple monitoring node sets are obtained;

[0139] When the exercise time reaches the monitoring end time corresponding to the monitoring period, the continuous exercise duration is obtained based on the monitoring period, wherein the continuous exercise duration is the time interval between the monitoring start time and the monitoring end time corresponding to the monitoring period, and the target display brightness value is obtained based on the continuous exercise duration, the ambient brightness sensor and the infrared camera.

[0140] For each of the multiple monitoring node sets, perform the following operations:

[0141] The monitoring nodes in the monitoring node set are sorted in order from back to front according to the monitoring time to obtain the monitoring sequence, wherein the monitoring sequence corresponds one-to-one with the monitoring parameters;

[0142] The monitoring sequences are aggregated to obtain multiple monitoring sequences; monitoring sequences are extracted sequentially from the multiple monitoring sequences, and the threshold nodes corresponding to the monitoring sequences are identified in the threshold node set based on the monitoring sequences;

[0143] Confirm whether the monitored sequence and threshold nodes meet the pre-built warning conditions, wherein the warning conditions are as follows:

[0144]

[0145] Where n represents the total number of monitoring nodes in the monitoring sequence, a1, a... i ai-1 T represents the monitoring values ​​corresponding to the 1st, i-th, and (i-1)th monitoring nodes in the monitoring sequence, respectively. i T i-1 These represent the monitoring times corresponding to the 1st, i-th, and (i-1)th monitoring nodes in the monitoring sequence, respectively, and Δa represents the threshold rate corresponding to the threshold node. h a represents the upper limit of the threshold corresponding to the threshold node. l This indicates the lower limit of the threshold corresponding to the threshold node;

[0146] If no monitoring sequence or threshold node meets the warning conditions, a first display scheme is constructed based on multiple monitoring sequences, threshold node sets, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value. Otherwise, one or more warning node sets are obtained based on multiple monitoring sequences, wherein each warning node set in the one or more warning node sets meets the warning conditions.

[0147] A second display scheme is constructed based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value;

[0148] The first display scheme or the second display scheme shall be used as the display scheme.

[0149] Understandably, the monitoring parameter acquisition unit is a module used to collect multiple motion parameter values ​​in real time. Assuming a monitoring period is 10:00-10:10 AM, taking heart rate as an example: assuming the monitoring node set corresponding to heart rate is {110 bpm-10:01, 113 bpm-10:03, 118 bpm-10:04, 116 bpm-10:05, 120 bpm-10:06, 122 bpm-10:08, 126 bpm-10:10}, the corresponding monitoring sequence is {126 bpm-10:10, 122 bpm-10:08, 120 bpm-10:06, 116 bpm-10:05, 118 bpm-10:04}. For example, if the heart rate monitoring parameter corresponds to the threshold node {heart rate: 6 bpm / min - 110 bpm - 160 bpm}, determine whether the monitoring sequence and threshold node corresponding to the heart rate monitoring parameter in the example meet the warning conditions. The warning conditions are used to confirm which display scheme is optimal under the current conditions (the monitoring sequence and threshold node corresponding to each monitoring parameter). The condition for using the first display scheme is that the monitoring sequence and threshold node corresponding to each monitoring parameter in the monitoring parameter set do not meet the warning conditions. The condition for using the second display scheme is that there is a monitoring sequence and threshold node corresponding to a monitoring parameter in the monitoring parameter set that meets the warning conditions (one or more of them are acceptable). The principle for confirming the warning conditions is: to assess exercise risk using the parameter value change rate and weighted average dual threshold conditions. If any monitoring parameter rises / falls too quickly during the monitoring period (the parameter value change rate is greater than the preset threshold rate) or the monitoring value is consistently high / low (the weighted average is greater than the upper threshold or less than the lower threshold), then the warning condition is met.

[0150] It should be understood that the first display scheme is the standard layout when there is no motion risk, with core and auxiliary parameters displayed at default ratios and brightness automatically adapting to the current environment. The second display scheme is the warning layout after a risk is triggered (warning conditions are met), highlighting core / warning parameters and weakening or hiding auxiliary parameters to ensure that users can capture key warning parameter information immediately. This embodiment of the invention determines whether the monitored values ​​are too fast or exceed limits during the monitoring period. When there is a motion risk, the core / warning values ​​are highlighted (constructing the second display scheme), making it easier to remind users to pay attention to their current motion status. When there is no risk, the standard partitioning is maintained (constructing the first display scheme), improving the convenience for users to obtain key motion status information.

[0151] Specifically, the step of acquiring the target display brightness value based on the continuous motion duration, ambient brightness sensor, and infrared camera includes:

[0152] The current ambient brightness value is obtained based on the ambient brightness sensor;

[0153] The infrared camera is used to obtain the eye fatigue coefficient;

[0154] The target display brightness value is obtained based on the current ambient brightness value, eye fatigue coefficient, duration of continuous exercise, and a pre-constructed formula for calculating the target display brightness value. The formula for calculating the target display brightness value is as follows:

[0155]

[0156] Among them, B d B represents the target display brightness value. max B represents the preset maximum display brightness value. min L represents the preset minimum display brightness value. c L represents the current ambient brightness value. min Indicates the preset lower limit of ambient brightness value, L max The preset upper limit of ambient brightness value is represented by t, the duration of continuous exercise is represented by E, and the eye fatigue coefficient is represented by t. max The maximum continuous motion duration threshold is represented by w1, w2, and w3, which represent the first, second, and third preset weights, respectively.

[0157] Understandably, the ambient light sensor is a photoelectric sensing module used to collect the current ambient light intensity. Optionally, a sensor of model MAX44009 can be used as the ambient light sensor to achieve this process, which is existing technology and will not be elaborated here. The current ambient light value is a quantified value of the intensity of visible light in the current environment, usually expressed as luminous flux per unit area. The infrared camera is a sensor that captures the user's eye characteristics by receiving infrared wavelengths. The eye fatigue coefficient is a quantified value calculated based on the eye characteristics captured by the infrared camera (such as blinking frequency, eyelid closure time, pupil changes, etc.), used to objectively assess the degree of eye fatigue. The higher the value, the more significant the fatigue state (the eye fatigue coefficient is usually normalized to 0-1, where 0 represents complete wakefulness and 1 represents high fatigue). Optionally, the eye fatigue coefficient can be obtained by using an infrared camera combined with a machine learning model, which is existing technology and will not be elaborated here. The calculation principle of the target display brightness value calculation formula is: current ambient light value L c The larger the value, the brighter the target display value B. d The larger the value of B (requiring greater brightness to see clearly), the longer the duration of continuous motion t, and the brighter the target display value B. d The smaller the value (the longer the exercise, the more fatigued you become; appropriately reduce the brightness), the higher the eye fatigue coefficient E, and the higher the target display brightness value B. dThe smaller the value (reduces brightness and reduces eye strain for the user). The maximum display brightness value is the maximum display brightness allowed by the multi-parameter display screen, the minimum display brightness value is the minimum display brightness allowed by the multi-parameter display screen, the lower limit of the ambient brightness value is the lowest ambient light intensity threshold that the ambient light sensor can recognize, and the upper limit of the ambient brightness value is the highest ambient light intensity threshold that the ambient light sensor can recognize.

[0158] Furthermore, the construction of the first display scheme based on multiple monitoring sequences, a threshold node set, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value includes:

[0159] The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence;

[0160] The rate ratio is obtained based on the monitoring sequence, threshold nodes, and a pre-constructed rate ratio calculation formula, wherein the rate ratio calculation formula is as follows:

[0161]

[0162] Wherein, ε represents the rate ratio, and Δb represents the threshold rate corresponding to the threshold node;

[0163] The monitoring nodes are extracted and analyzed from the monitoring sequence, wherein the monitoring nodes are the monitoring nodes with the first position in the monitoring sequence;

[0164] The analysis values ​​are the monitoring values ​​corresponding to the monitoring nodes.

[0165] The monitoring parameters corresponding to the monitoring nodes are used as the analysis monitoring parameters;

[0166] By correlating the rate ratio, the analysis parameter value, and the analysis monitoring parameter, an analysis node is obtained;

[0167] By summarizing the analyzed nodes, a set of analyzed nodes is obtained;

[0168] A first display scheme is constructed based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value.

[0169] Understandably, the rate ratio is a standardized ratio of the actual rate of change of the monitored parameter per unit time to the threshold rate, used to quantify the fluctuation intensity of the parameter value during exercise. For example, assuming the threshold node corresponding to the monitored parameter heart rate is {heart rate: 6 bpm / min - 110 bpm - 160 bpm}, the threshold rate is 6 bpm / min. The rate ratio calculation formula comprehensively considers the time interval between adjacent monitoring nodes; the shorter the time interval, the greater the influence of the corresponding monitored value on the calculation result of the rate ratio (e.g., the monitoring value collected at a higher frequency during exercise has a larger weight), thus achieving accurate quantification of the dynamic changes of the monitored parameter. Assuming the monitoring sequence is {126 bpm-10:10, 122 bpm-10:08, 120 bpm-10:06, 116 bpm-10:05, 118 bpm-10:04, 113 bpm-10:03, 110 bpm-10:01}, the analysis monitoring node with the first position is 126 bpm-10:10, and the analysis value is 126 bpm, calculated from the monitoring sequence in the example. The heart rate is 2.58 bpm / min. Therefore, the rate ratio is the ratio of 2.58 bpm / min to the threshold rate of 6 bpm / min: 2.58 / 6 = 43 / 100. The analysis nodes corresponding to the monitored parameter heart rate are (heart rate - 43 / 100, 126). Similarly, the analysis nodes corresponding to other monitored parameters can be obtained.

[0170] It should be explained that the construction of the first display scheme based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes:

[0171] The analysis values ​​corresponding to the analysis nodes in the analysis node set are sorted in descending order of rate ratio to obtain the analysis sequence;

[0172] A core value set and an auxiliary value set are obtained based on the analysis sequence and a preset position threshold. The core values ​​in the core value set are all less than or equal to the position threshold in the analysis sequence, and the auxiliary values ​​in the auxiliary value set are all greater than the position threshold in the analysis sequence.

[0173] A first display scheme is constructed based on the core value set, auxiliary value set, initial adjustable display area, initial auxiliary display area, and target display brightness value, wherein the first display scheme is as follows:

[0174] Based on the initial adjustable display area, the target display brightness value, and the preset core area background, the core display area is obtained, and the core parameter value set is displayed using the core display area to obtain the visualized core parameter area;

[0175] Based on the initial auxiliary display area, the target display brightness value, and the preset auxiliary area background, an auxiliary display area is obtained. The auxiliary parameter value set is displayed using the auxiliary display area to obtain a visualized auxiliary parameter area. The first display scheme includes a visualized core parameter area and a visualized auxiliary parameter area.

[0176] For example, assuming the set of analysis nodes is {(heart rate -43 / 100, 126), (blood oxygen -20 / 100, 100), (average pace -30 / 100, 10)}, the analysis sequence is {(heart rate -43 / 100, 126), (average pace -130 / 100, 10), (blood oxygen -20 / 100, 100)}. The preset positional threshold is a critical positional number used to divide the core value set and the auxiliary value set. In the analysis sequence, the positional values ​​of the core value set are all less than or equal to the positional threshold, while the positional values ​​of the auxiliary value set are all greater than the positional threshold. Assuming the positional threshold is 2, the core value set is {(heart rate -43 / 100, 126), (average pace -30 / 100, 10)}, and the auxiliary value set is {(blood oxygen -20 / 100, 100)}. The core display area is the area in the multi-parameter display screen used to prioritize the display of high-priority parameters (core value set). By setting the background of the core area, its visual weight is made higher than that of the auxiliary display area to ensure that the core values ​​are prominently presented. The auxiliary display area is the display area in the multi-parameter display screen used to display low-priority parameters (auxiliary value set). Its visual weight is lower than that of the core display area to ensure that the interface information is complete but does not interfere with the presentation of the core values ​​in the auxiliary display area. The preset core display area background is a pre-defined background style (such as color, texture, or contrast) used to enhance the visual recognition of core parameters. The preset auxiliary display area background is a pre-defined background style (such as light color or low contrast) used to distinguish the auxiliary display area from the core display area. The visualized core parameter area is the core display area that displays the core value set, and the visualized auxiliary parameter area is the auxiliary display area that displays the auxiliary value set. This embodiment of the invention achieves adaptive partitioned display through dynamic priority sorting, ensuring that core values ​​are presented first. By strengthening the core content through different area backgrounds, adaptive partitioned display is achieved, which not only optimizes the interface layout of the multi-parameter display screen but also improves the efficiency of information acquisition during movement.

[0177] In detail, the construction of the second display scheme based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes:

[0178] Obtain the first-level warning value set based on one or more warning node sets;

[0179] The number of monitored parameters in the monitoring parameter set and the number of warning nodes in one or more warning node sets are counted separately to obtain the number of monitored parameters and the number of warnings.

[0180] Calculate the ratio of the number of warnings to the number of monitoring sessions to obtain the warning ratio;

[0181] A second display scheme is constructed using the warning ratio, an initial adjustable display area, and an initial auxiliary display area, as shown below:

[0182] If the warning ratio is less than or equal to the preset warning ratio threshold, the initial adjustable display area shall be used as the initial first warning display area;

[0183] The first warning display area is obtained based on the initial first warning display area, the target display brightness value, and the preset first warning area background;

[0184] Otherwise, the initial adjustable display area and the initial auxiliary display area are adjusted using a preset display area adjustment method to obtain an initial second warning display area, wherein the area of ​​the initial second warning display area is larger than the area of ​​the initial first warning display area;

[0185] The second warning display area is obtained based on the initial second warning display area, the target display brightness value, and the preset second warning area background;

[0186] The first warning value set is displayed in the first warning display area or the second warning display area to obtain a visual warning parameter area, wherein the second display scheme includes the visual warning parameter area.

[0187] It should be understood that the primary warning value set is a collection of monitoring values ​​that directly trigger warning conditions. It has the highest display priority and requires enhanced visual presentation through a dedicated warning display area (first / second warning display area) to ensure users promptly perceive movement risks. The warning node set is a collection of monitoring nodes that meet warning conditions, whose corresponding monitoring parameters exhibit abnormal fluctuations (exceeding the rate of change limit or the weighted average exceeding the limit) during the monitoring period. For example, assuming there are 6 monitoring parameters (i.e., 6 monitoring items) and 2 warning nodes (i.e., 2 warning items), the warning ratio is 2 / 6 = 1 / 3. The preset warning ratio threshold is a critical ratio used to determine whether to expand the warning display area. When the warning ratio exceeds the warning ratio threshold, the warning area is automatically expanded to strengthen the risk warning. If the warning ratio threshold is 1 / 2, and the warning ratio 1 / 3 is less than the warning ratio threshold 1 / 2, it indicates that only a few monitoring parameters (e.g., 1 / 3 ratio) have triggered warning conditions, and the critical threshold requiring a strong global warning has not been reached. The system can display abnormal parameters in the default first warning display area (initial adjustable display area) without expanding the warning area. If the warning ratio is 2 / 3, which is greater than the warning ratio threshold of 1 / 2, it indicates that more than half of the monitored parameters (e.g., 2 / 3) have triggered the warning condition, determining that the current state is a high-risk activity (multiple monitored parameters are abnormal). The warning area is then automatically expanded (upgraded from the first warning display area to the second warning display area). All abnormal parameters are displayed in a concentrated manner through a larger area and stronger visual contrast (e.g., setting the background of the second warning area to a flashing red background). The first warning area background is a pre-set local warning visual style (e.g., a yellow highlighted border), used to provide a gentle alert for a single / small number of abnormal parameters when the warning ratio is less than or equal to the warning ratio threshold, maintaining the overall stability of the interface layout. The second warning area background is a pre-set global warning visual style (e.g., a red dynamically flashing background), used to provide a strong warning intervention for multiple abnormal parameters when the warning ratio is greater than the warning ratio threshold. It uses a pre-set display area adjustment method to expand the area and enhance contrast to forcibly attract the user's attention. The preset display area adjustment methods include, but are not limited to, horizontal expansion, vertical expansion, and dynamic breathing expansion. The visual warning parameter area is either the first or second warning display area that displays the first-level warning value set. This embodiment of the invention quantifies the proportion of warning parameters (warning ratio), intelligently switches between local and global warning modes, and uses area expansion (display area adjustment method) and visual enhancement (distinguishing the background of the first / second warning areas) to achieve precise matching of warning intensity and risk level, enabling users to obtain key warning parameter information faster and more conveniently, thus improving the efficiency of sports safety monitoring.

[0188] To address the problems described in the background art, this invention receives a multi-parameter display optimization instruction and, based on this instruction, establishes a multi-parameter optimization system. This system includes a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera. It acquires a monitoring parameter set, which contains multiple monitoring parameters. A threshold node set is then obtained based on this set, containing multiple threshold nodes, each with a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter. This invention dynamically integrates necessary parameters (for motion safety monitoring) with user preference parameters (to meet personalized monitoring needs), generating a monitoring parameter set based on intelligent threshold control. This ensures that the multi-parameter display screen fully presents the necessary safety monitoring parameters and prioritizes the display of key monitoring information according to user preferences, effectively solving the dual problems of easily missing necessary parameters and difficulty in focusing on massive numbers of parameters in traditional display solutions.This dynamic balancing mechanism ensures both the rigid requirements of sports safety monitoring and improves the efficiency of users obtaining key information. The invention acquires sports modes, which can be free or fixed modes, and sports duration. Based on the sports duration, a preset sports start time, sports mode, and a preset confirmation method, multiple monitoring periods are acquired. Each monitoring period includes a monitoring start time and a monitoring end time. An initial adjustable display area and an initial auxiliary display area are acquired based on a multi-parameter display screen. This invention dynamically divides the initial adjustable display area (core / warning parameter area) and the initial auxiliary display area (auxiliary parameter area) by acquiring the target distance value, replacing mechanical hardware adjustment with software virtual partitioning. This allows the core parameter area to intelligently follow the user's line of sight, achieving an adaptive layout of the multi-parameter display screen. The invention constructs a display scheme based on multiple monitoring periods, a threshold node set, a monitoring parameter acquisition unit, an ambient brightness sensor, an infrared camera, the initial adjustable display area, and the initial auxiliary display area. The display scheme can be a first display scheme or a second display scheme. This invention optimizes the multi-parameter electronic display of fitness equipment displays. It determines whether monitored values ​​are too fast or exceed limits during the monitoring period. When there is a risk of exercise, it prioritizes displaying core / warning values ​​(building a second display scheme) to remind users to pay attention to their current exercise status. When there is no risk, it maintains the normal partitioning (building a first display scheme), improving the user's convenience in obtaining key exercise status. Adaptive partitioning display is achieved through dynamic priority sorting, ensuring core values ​​are presented first. Different backgrounds in different areas enhance core content, achieving adaptive partitioning display. This not only optimizes the interface layout of the multi-parameter display screen but also improves the efficiency of information acquisition during exercise. By quantifying the proportion of warning parameters (warning ratio), it intelligently switches between local / global warning modes. Using area expansion (display area adjustment method) and visual enhancement (distinguishing the backgrounds of the first / second warning areas) achieves precise matching of warning intensity and risk level, allowing users to obtain key warning parameter information faster and more conveniently, improving the efficiency of exercise safety monitoring. Therefore, this invention can improve the dynamic adaptability of fitness equipment electronic display optimization.

[0189] like Figure 2 The diagram shown is a functional block diagram of a multi-parameter electronic control display optimization system for fitness equipment provided in an embodiment of the present invention.

[0190] The fitness equipment electronic watch multi-parameter electronic control display optimization system 100 of the present invention can be installed in an electronic device. Depending on the functions implemented, the fitness equipment electronic watch multi-parameter electronic control display optimization system 100 may include a monitoring parameter acquisition module 101, an exercise period confirmation module 102, a display zone initialization module 103, and a display zone optimization module 104. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and is stored in the memory of the electronic device.

[0191] The monitoring parameter acquisition module 101 is used to receive a multi-parameter display optimization instruction and confirm a multi-parameter optimization system based on the multi-parameter display optimization instruction. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0192] Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0193] The exercise period confirmation module 102 is used to obtain the exercise mode, wherein the exercise mode is a free mode or a fixed mode;

[0194] The display partition initialization module 103 is used to obtain the exercise duration and obtain multiple monitoring time periods based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit and the preset confirmation method. Each monitoring time period includes a monitoring start time and a monitoring end time.

[0195] The display partition optimization module 104 is used to obtain the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen.

[0196] A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0197] In detail, the modules in the fitness equipment electronic watch multi-parameter electronic control display optimization system 100 described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The method described herein is the same as the multi-parameter electronic control display optimization method for fitness equipment described above, and can produce the same technical effect, so it will not be elaborated here.

[0198] like Figure 3 The diagram shown is a structural schematic of an electronic device that implements a multi-parameter electronic control display optimization method for fitness equipment electronic watches, according to an embodiment of the present invention.

[0199] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a method program for optimizing the multi-parameter electronic control display of fitness equipment electronic watches.

[0200] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a multi-parameter electronic control display optimization method program for a fitness equipment electronic watch, but also to temporarily store data that has been output or will be output.

[0201] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a multi-parameter electronic control display optimization method program for fitness equipment electronic watches) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0202] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0203] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0204] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0205] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0206] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0207] The fitness equipment electronic watch multi-parameter electronic control display optimization method program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0208] The system receives a multi-parameter display optimization command and confirms a multi-parameter optimization system based on the command. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0209] Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0210] Acquire a motion pattern, wherein the motion pattern is a free mode or a fixed mode;

[0211] The exercise duration is obtained, and multiple monitoring periods are obtained based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method. Each monitoring period includes a monitoring start time and a monitoring end time.

[0212] The initial adjustable display area and the initial auxiliary display area are obtained based on a multi-parameter display screen;

[0213] A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0214] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0215] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0216] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0217] The system receives a multi-parameter display optimization command and confirms a multi-parameter optimization system based on the command. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera.

[0218] Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter.

[0219] Acquire a motion pattern, wherein the motion pattern is a free mode or a fixed mode;

[0220] The exercise duration is obtained, and multiple monitoring periods are obtained based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method. Each monitoring period includes a monitoring start time and a monitoring end time.

[0221] The initial adjustable display area and the initial auxiliary display area are obtained based on a multi-parameter display screen;

[0222] A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized.

[0223] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0224] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0225] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0226] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0227] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing the multi-parameter electronic control display of a fitness equipment electronic watch, characterized in that, The method includes: The system receives a multi-parameter display optimization instruction and confirms a multi-parameter optimization system based on the instruction. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera. Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter. Acquire a motion pattern, wherein the motion pattern is a free mode or a fixed mode; The exercise duration is obtained, and multiple monitoring periods are obtained based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method. Each monitoring period includes a monitoring start time and a monitoring end time. The initial adjustable display area and the initial auxiliary display area are obtained based on a multi-parameter display screen; A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized. The display scheme, constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area, includes: Perform the following operations for each of the multiple monitoring periods: The exercise time is acquired in real time. When the exercise time reaches the monitoring start time corresponding to the monitoring period, the following operations are performed on each monitoring parameter in the monitoring parameter set: The monitoring node set is obtained based on the monitoring parameter acquisition unit and the monitoring time period. The monitoring node set contains multiple monitoring nodes, and each monitoring node contains monitoring values ​​and monitoring time. By aggregating the monitoring node sets, multiple monitoring node sets are obtained; When the exercise time reaches the monitoring end time corresponding to the monitoring period, the continuous exercise duration is obtained based on the monitoring period, wherein the continuous exercise duration is the time interval between the monitoring start time and the monitoring end time corresponding to the monitoring period, and the target display brightness value is obtained based on the continuous exercise duration, the ambient brightness sensor and the infrared camera. For each of the multiple monitoring node sets, perform the following operations: The monitoring nodes in the monitoring node set are sorted in order from back to front according to the monitoring time to obtain the monitoring sequence, wherein the monitoring sequence corresponds one-to-one with the monitoring parameters; By summarizing the monitoring sequences, multiple monitoring sequences are obtained. The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence; Confirm whether the monitored sequence and threshold nodes meet the pre-built warning conditions, wherein the warning conditions are as follows: in, Indicates that there are a total of One monitoring node, , They represent the 1st and 2nd in the monitoring sequence, respectively. The, the The monitoring values ​​corresponding to each monitoring node , They represent the 1st and 2nd in the monitoring sequence, respectively. The, the The monitoring time corresponding to each monitoring node This represents the threshold rate corresponding to the threshold node. This indicates the upper limit of the threshold corresponding to the threshold node. This indicates the lower threshold corresponding to the threshold node; If no monitoring sequence or threshold node meets the warning conditions, a first display scheme is constructed based on multiple monitoring sequences, threshold node sets, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value. Otherwise, one or more warning node sets are obtained based on multiple monitoring sequences, wherein each warning node set in the one or more warning node sets meets the warning conditions. A second display scheme is constructed based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value; The first display scheme or the second display scheme shall be used as the display scheme; The step of acquiring the target display brightness value based on the continuous motion duration, ambient brightness sensor, and infrared camera includes: The current ambient brightness value is obtained based on the ambient brightness sensor; The infrared camera is used to obtain the eye fatigue coefficient; The target display brightness value is obtained based on the current ambient brightness value, eye fatigue coefficient, duration of continuous exercise, and a pre-constructed formula for calculating the target display brightness value. The formula for calculating the target display brightness value is as follows: in, This indicates the target display brightness value. This indicates the preset maximum display brightness value. This indicates the preset minimum display brightness value. This indicates the current ambient brightness value. This indicates the preset lower limit of ambient brightness. This indicates the preset upper limit of ambient brightness. This indicates the duration of the continuous motion. This represents the eye fatigue coefficient. This indicates the preset maximum continuous motion duration threshold. , and These represent the preset first weight, second weight, and third weight, respectively.

2. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 1, characterized in that, The acquisition of the monitoring parameter set includes: Obtain the set of necessary parameters, which contains multiple necessary parameters; Obtain a set of preference parameter nodes, wherein the set of preference parameter nodes contains multiple preference parameter nodes, and each preference parameter node contains preference parameters and preference degree; The number of preference parameter nodes in the preference parameter node set is counted to obtain the number of preferences. Compare the number of preferences with a preset threshold for the number of preferences; If the number of preferences is less than or equal to the threshold for the number of preferences, the preference parameter set is obtained based on the preference parameter node set, and the preference parameter set and the necessary parameter set are summarized to obtain the monitoring parameter set; Otherwise, sort the preference parameters corresponding to the preference parameter nodes in the preference parameter node set in descending order of preference degree to obtain the preference sequence; Multiple preferred preference parameters are obtained based on the preference sequence, wherein the position of each preferred preference parameter in the preference sequence is less than or equal to the preference quantity threshold. By summarizing multiple preference parameters and necessary parameter sets, a monitoring parameter set is obtained.

3. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 2, characterized in that, The method obtains multiple monitoring time periods based on the exercise duration, preset exercise start time, exercise mode, exercise confirmation unit, and preset confirmation method, including: An initial exercise plan is obtained based on the exercise duration, the exercise confirmation unit, and the exercise start time. If the motion mode is a fixed mode, multiple fixed monitoring time periods are obtained based on the initial motion plan; If the exercise mode is free mode, multiple free monitoring periods are obtained based on the initial exercise plan and the preset monitoring period adjustment method; Multiple monitoring periods are defined as either the multiple fixed monitoring periods or the multiple free monitoring periods.

4. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 3, characterized in that, The process of obtaining the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen includes: Obtain the display height and display angle of the multi-parameter display screen respectively; The user's line-of-sight height is obtained based on pre-built detection technology; The target distance value is obtained based on the user's line-of-sight height, display height, display angle, and a preset target distance calculation formula; The target center horizontal axis is obtained based on the target distance value. An initial adjustable display area is obtained using the target center horizontal axis and a preset area acquisition method. An initial auxiliary display area is obtained based on the initial adjustable display area and a multi-parameter display screen.

5. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 4, characterized in that, The first display scheme, constructed based on multiple monitoring sequences, a threshold node set, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value, includes: The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence; The rate ratio is obtained based on the monitoring sequence, threshold nodes, and a pre-constructed rate ratio calculation formula; The monitoring nodes are extracted and analyzed from the monitoring sequence, wherein the monitoring nodes are the monitoring nodes with the first position in the monitoring sequence; The analysis values ​​are the monitoring values ​​corresponding to the monitoring nodes. The monitoring parameters corresponding to the monitoring nodes are used as the analysis monitoring parameters; By correlating the rate ratio, the analysis parameter value, and the analysis monitoring parameter, an analysis node is obtained; By summarizing the analyzed nodes, a set of analyzed nodes is obtained; A first display scheme is constructed based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value.

6. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 5, characterized in that, The construction of the first display scheme based on the analysis node set, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes: The analysis values ​​corresponding to the analysis nodes in the analysis node set are sorted in descending order of rate ratio to obtain the analysis sequence; A core value set and an auxiliary value set are obtained based on the analysis sequence and a preset position threshold. The core values ​​in the core value set are all less than or equal to the position threshold in the analysis sequence, and the auxiliary values ​​in the auxiliary value set are all greater than the position threshold in the analysis sequence. A first display scheme is constructed based on the core value set, auxiliary value set, initial adjustable display area, initial auxiliary display area, and target display brightness value, wherein the first display scheme is as follows: Based on the initial adjustable display area, the target display brightness value, and the preset core area background, the core display area is obtained, and the core parameter value set is displayed using the core display area to obtain the visualized core parameter area; Based on the initial auxiliary display area, the target display brightness value, and the preset auxiliary area background, an auxiliary display area is obtained. The auxiliary parameter value set is displayed using the auxiliary display area to obtain a visualized auxiliary parameter area. The first display scheme includes a visualized core parameter area and a visualized auxiliary parameter area.

7. The method for optimizing the multi-parameter electronic control display of fitness equipment as described in claim 6, characterized in that, The construction of the second display scheme based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value includes: Obtain the first-level warning value set based on one or more warning node sets; The number of monitored parameters in the monitoring parameter set and the number of warning nodes in one or more warning node sets are counted separately to obtain the number of monitored parameters and the number of warnings. Calculate the ratio of the number of warnings to the number of monitoring sessions to obtain the warning ratio; A second display scheme is constructed using the warning ratio, an initial adjustable display area, and an initial auxiliary display area, as shown below: If the warning ratio is less than or equal to the preset warning ratio threshold, the initial adjustable display area shall be used as the initial first warning display area; The first warning display area is obtained based on the initial first warning display area, the target display brightness value, and the preset first warning area background; Otherwise, the initial adjustable display area and the initial auxiliary display area are adjusted using a preset display area adjustment method to obtain an initial second warning display area, wherein the area of ​​the initial second warning display area is larger than the area of ​​the initial first warning display area; The second warning display area is obtained based on the initial second warning display area, the target display brightness value, and the preset second warning area background; The first warning value set is displayed in the first warning display area or the second warning display area to obtain a visual warning parameter area, wherein the second display scheme includes the visual warning parameter area.

8. A multi-parameter electronic control display optimization system for fitness equipment, characterized in that, The system includes: The monitoring parameter acquisition module is used to receive multi-parameter display optimization instructions and confirm the multi-parameter optimization system based on the multi-parameter display optimization instructions. The multi-parameter optimization system includes: a motion confirmation unit, a monitoring parameter acquisition unit, a multi-parameter display screen, an ambient brightness sensor, and an infrared camera. Obtain a monitoring parameter set, which contains multiple monitoring parameters. Obtain a threshold node set based on the monitoring parameter set, which contains multiple threshold nodes. Each threshold node contains a threshold rate, an upper threshold limit, and a lower threshold limit. Each threshold node corresponds one-to-one with a monitoring parameter. The exercise period confirmation module is used to obtain the exercise mode, wherein the exercise mode is a free mode or a fixed mode; The display partition initialization module is used to obtain the exercise duration. Based on the exercise duration, the preset exercise start time, the exercise mode, the exercise confirmation unit, and the preset confirmation method, multiple monitoring time periods are obtained. Each monitoring time period includes a monitoring start time and a monitoring end time. The display partition optimization module is used to obtain the initial adjustable display area and the initial auxiliary display area based on the multi-parameter display screen. A display scheme is constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area. The display scheme is either a first display scheme or a second display scheme. Based on the display scheme, the multi-parameter electronic control display of the fitness equipment electronic watch is optimized. The display scheme, constructed based on multiple monitoring time periods, threshold node sets, monitoring parameter acquisition units, ambient brightness sensors, infrared cameras, an initial adjustable display area, and an initial auxiliary display area, includes: Perform the following operations for each of the multiple monitoring periods: The exercise time is acquired in real time. When the exercise time reaches the monitoring start time corresponding to the monitoring period, the following operations are performed on each monitoring parameter in the monitoring parameter set: The monitoring node set is obtained based on the monitoring parameter acquisition unit and the monitoring time period. The monitoring node set contains multiple monitoring nodes, and each monitoring node contains monitoring values ​​and monitoring time. By aggregating the monitoring node sets, multiple monitoring node sets are obtained; When the exercise time reaches the monitoring end time corresponding to the monitoring period, the continuous exercise duration is obtained based on the monitoring period, wherein the continuous exercise duration is the time interval between the monitoring start time and the monitoring end time corresponding to the monitoring period, and the target display brightness value is obtained based on the continuous exercise duration, the ambient brightness sensor and the infrared camera. For each of the multiple monitoring node sets, perform the following operations: The monitoring nodes in the monitoring node set are sorted in order from back to front according to the monitoring time to obtain the monitoring sequence, wherein the monitoring sequence corresponds one-to-one with the monitoring parameters; By summarizing the monitoring sequences, multiple monitoring sequences are obtained. The monitoring sequence is extracted sequentially from multiple monitoring sequences, and the threshold node corresponding to the monitoring sequence is identified in the threshold node set based on the monitoring sequence; Confirm whether the monitored sequence and threshold nodes meet the pre-built warning conditions, wherein the warning conditions are as follows: in, Indicates that there are a total of One monitoring node, , They represent the 1st and 2nd in the monitoring sequence, respectively. The, the The monitoring values ​​corresponding to each monitoring node , They represent the 1st and 2nd in the monitoring sequence, respectively. The, the The monitoring time corresponding to each monitoring node This represents the threshold rate corresponding to the threshold node. This indicates the upper limit of the threshold corresponding to the threshold node. This indicates the lower threshold corresponding to the threshold node; If no monitoring sequence or threshold node meets the warning conditions, a first display scheme is constructed based on multiple monitoring sequences, threshold node sets, an initial adjustable display area, an initial auxiliary display area, and a target display brightness value. Otherwise, one or more warning node sets are obtained based on multiple monitoring sequences, wherein each warning node set in the one or more warning node sets meets the warning conditions. A second display scheme is constructed based on the monitoring parameter set, the one or more warning node sets, the initial adjustable display area, the initial auxiliary display area, and the target display brightness value; The first display scheme or the second display scheme shall be used as the display scheme; The step of acquiring the target display brightness value based on the continuous motion duration, ambient brightness sensor, and infrared camera includes: The current ambient brightness value is obtained based on the ambient brightness sensor; The infrared camera is used to obtain the eye fatigue coefficient; The target display brightness value is obtained based on the current ambient brightness value, eye fatigue coefficient, duration of continuous exercise, and a pre-constructed formula for calculating the target display brightness value. The formula for calculating the target display brightness value is as follows: in, This indicates the target display brightness value. This indicates the preset maximum display brightness value. This indicates the preset minimum display brightness value. This indicates the current ambient brightness value. This indicates the preset lower limit of ambient brightness. This indicates the preset upper limit of ambient brightness. This indicates the duration of the continuous motion. This represents the eye fatigue coefficient. This indicates the preset maximum continuous motion duration threshold. , and These represent the preset first weight, second weight, and third weight, respectively.

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