An electronic bracelet power warning method, system and device based on positioning information

Abstract

An embodiment of the present application provides a method, system, and device for warning the battery power of an electronic bracelet based on positioning information. The method includes: when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, obtaining the current remaining battery power value and the internally enabled function items of the electronic bracelet; calculating the movement duration to reach the second supply station according to the distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet; calculating the predicted battery power value of the electronic bracelet at the second supply station according to the current movement ranking of the wearer associated with the electronic bracelet, the static power consumption reference value, the remaining battery power, and the movement duration, and generating a battery power warning message when the predicted battery power value is less than the preset battery power value to prompt to replace the electronic bracelet at the first supply station. This solution can reasonably warn the battery power of the electronic bracelet, and the warning method can adapt to the sports event scenario.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of electronic digital data processing, and in particular, to an electronic bracelet power warning method, system and device based on positioning information. Background Art

[0002] With the popularization of intelligent electronic devices and the increase in sports events, it has become the current mainstream processing method to distribute and use electronic bracelets to participants in sports events to monitor the sports sign parameters of the participants and perform corresponding information statistics to achieve multi-dimensional display of event data. Among them, electronic bracelets usually have complex functions. Especially during the use of events, functions that consume a lot of power, such as positioning and information transmission, and the use of various functions by participants will cause the battery power to consume quickly. Therefore, reasonable power warning is required so that each supply station set in the event can reasonably replace the electronic bracelet to ensure the monitoring and display of the whole process information.

[0003] In related technologies, an electric quantity alarm threshold is usually set inside the electronic bracelet, and a low power alarm reminder is made based on this threshold. For example, when the electronic bracelet monitors that its current power is lower than 20%, a low power reminder notification will be sent. However, the interval between supply stations in sports events is not fixed, and the usage of the functions of the electronic bracelets of different participants is different. Moreover, due to their current ranking order, the amount of interaction data and the interaction frequency between the electronic bracelets worn by different participants and the event backend server are also different, resulting in a large difference in the power consumption of the bracelets of different participants. In this case, it is impossible to determine whether to replace based on the remaining power of the electronic bracelet when it reaches the supply station. Therefore, a reasonable electronic bracelet power warning method is needed to flexibly and reasonably perform the electronic bracelet power warning to ensure that the timing of replacement at the supply station is accurate and reliable. Summary of the Invention

[0004] The embodiments of the present application provide an electronic bracelet power warning method, system and device based on positioning information, which solve the problem that the reference dimension of the electronic bracelet power warning in related technologies is single and cannot adapt to timely replacement in the case of sports events, and can reasonably perform the electronic bracelet power warning, and the warning method can adapt to the sports event scenario.

[0005] In a first aspect, the embodiments of the present application provide an electronic bracelet power warning method based on positioning information, including:

[0006] When it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, obtain the current remaining power value of the electronic bracelet and the function items enabled inside, where the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption reference values;

[0007] Calculate the exercise duration to reach the second supply station based on the station distance from the electronic bracelet to the second supply station and the average moving speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station;

[0008] Calculate the predicted power value of the electronic bracelet at the second supply station based on the current exercise ranking of the wearer associated with the electronic bracelet, the static power consumption reference value, the remaining power, and the exercise duration. When the predicted power value is less than the preset power value, generate a power warning message to prompt replacing the electronic bracelet at the first supply station.

[0009] In a second aspect, an embodiment of the present application provides an electronic bracelet power warning system based on positioning information, including:

[0010] A bracelet information acquisition module, configured to acquire the current remaining power value and the internally enabled function items of the electronic bracelet when it is detected based on the positioning information of the electronic bracelet that the distance from the electronic bracelet to the first supply station is less than the preset distance, where the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption reference values;

[0011] An exercise duration determination module, configured to calculate the exercise duration to reach the second supply station based on the station distance from the electronic bracelet to the second supply station and the average moving speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station;

[0012] A warning message generation module, configured to calculate the predicted power value of the electronic bracelet at the second supply station based on the current exercise ranking of the wearer associated with the electronic bracelet, the static power consumption reference value, the remaining power, and the exercise duration. When the predicted power value is less than the preset power value, generate a power warning message to prompt replacing the electronic bracelet at the first supply station.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, which includes: one or more processors; a storage device configured to store one or more programs, and when the one or more programs are executed by the one or more processors, enable the one or more processors to implement the method for warning the power of an electronic bracelet based on positioning information in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a storage medium containing computer-executable instructions, which are used to execute the method for warning the battery power of an electronic bracelet based on positioning information as described in the first aspect when executed by a computer processor.

[0015] In the embodiment of the present application, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, the current remaining battery power value and the internally enabled function items of the electronic bracelet are obtained, where the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values; the movement duration to reach the second supply station is calculated according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station; the predicted battery power value of the electronic bracelet at the second supply station is calculated according to the current movement ranking, static power consumption benchmark value, remaining battery power, and movement duration of the wearer associated with the electronic bracelet. When the predicted battery power value is less than the preset battery power value, a battery power warning message is generated to prompt for replacing the electronic bracelet at the first supply station. In the above solution, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than the preset distance, by obtaining the current remaining battery power value and the internally enabled function items of the electronic bracelet, the current battery power status and operating status of the electronic bracelet can be timely understood, providing reference information reflecting the self-status of the electronic bracelet for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet, the cumulative time for the electronic bracelet to reach the second supply station after leaving the first supply station can be reasonably evaluated, providing reference information combined with the actual movement status for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the predicted battery power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption benchmark value, remaining battery power, and movement duration of the wearer associated with the electronic bracelet, the remaining battery power of the electronic bracelet when it reaches the second supply station can be accurately predicted, and the electronic bracelet can be reasonably replaced to ensure that the timing of replacement at the supply station is accurate and reliable, and it can adapt to the sports event scenario. Description of the Drawings

[0016] Figure 1 is a flowchart of a method for warning the battery power of an electronic bracelet based on positioning information provided by an embodiment of the present application;

[0017] Figure 2 is a schematic diagram of the relative position relationship between an electronic bracelet, a first supply station, and a second supply station provided by an embodiment of the present application;

[0018] Figure 3It is a flowchart of a method for warning of the battery level of an electronic bracelet based on location information, which includes a process of determining a static power consumption reference value;

[0019] Figure 4 It is a flowchart of a method for warning of the battery level of an electronic bracelet based on location information, which includes a process of determining a dynamic power consumption reference value;

[0020] Figure 5 It is a schematic diagram of data transmission between an electronic bracelet and a backend service station provided by an embodiment of the present application;

[0021] Figure 6 It is a flowchart of a method for warning of the battery level of an electronic bracelet based on location information, which includes a process of calculating a predicted battery level value of the electronic bracelet at a second supply station;

[0022] Figure 7 It is a flowchart of a method for warning of the battery level of an electronic bracelet based on location information, which includes a process of determining whether to generate a battery level warning message based on a predicted battery level adjustment value;

[0023] Figure 8 It is a flowchart of a method for warning of the battery level of an electronic bracelet based on location information, which includes a process of determining a current battery level adjustment value of the electronic bracelet;

[0024] Figure 9 It is a structural block diagram of a system for warning of the battery level of an electronic bracelet based on location information provided by an embodiment of the present application;

[0025] Figure 10 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0026] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the accompanying drawings, not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0027] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0028] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0029] The following will, with reference to the accompanying drawings, elaborate on the data transmission methods, systems, devices, and media provided in the embodiments of the present application through specific embodiments and their application scenarios.

[0030] The electronic bracelet power warning method based on positioning information provided in the embodiments of the present application is used in the sports event scenario of using an electronic bracelet, aiming to reasonably perform the power warning of the electronic bracelet to determine whether it is necessary to replace the electronic bracelet at the first supply station, ensuring that the timing of replacement at the supply station is accurate and reliable, and can adapt to timely replacement of the electronic bracelet in the event of a sports event. Based on the above usage scenario, it can be understood that the execution subject of this solution is an electronic bracelet or a computer device connected to the electronic bracelet. This computer device refers to any electronic device with data calculation, processing, and storage capabilities, such as terminal devices such as mobile phones, PCs (Personal Computers), and tablet computers. The embodiments of the present application do not limit this.

[0031] Figure 1 is a flowchart of an electronic bracelet power warning method based on positioning information provided in the embodiments of the present application. As Figure 1 shown, it includes:

[0032] Step S101: When it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, obtain the current remaining power value of the electronic bracelet and the enabled function items inside. Herein, the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values.

[0033] Among them, this embodiment can be applied to different sports event scenarios. For example, marathons, cross-country running, cycling races, etc. For specific sports events, multiple supply stations can be set according to the schedule and route. The supply station can be used to provide water, dry rations, and pre-charged electronic bracelets to achieve the purpose of distributing necessary supplies. The positioning information of the electronic bracelet can be measured based on one or more of the set GPS (Global Positioning System) positioning modules, Beidou positioning modules, etc. Specifically, it can be data such as longitude and latitude, altitude, etc. This application does not make any limitations here. Taking the electronic bracelet equipped with a Beidou positioning module as an example, useful information can be extracted by receiving Beidou satellite signals and going through a series of operations such as radio frequency processing, signal despreading, and demodulation. Then, through a positioning algorithm, based on parameters such as the time difference of multiple received satellite signals and the signal propagation speed, the distance of the Beidou positioning module relative to the satellite is calculated. Then, using the principle of triangulation, the specific position of the Beidou positioning module on the earth is determined, and then the specific positioning information of the electronic bracelet is output. Thus, the positioning information can accurately feedback the current position of the electronic bracelet. By calculating the distance between this current position and the position of the first supply station, the distance between the two can be obtained. If this distance is less than a preset distance, it can be considered that the electronic bracelet is about to reach the first supply station, and subsequent power prediction steps need to be carried out. The preset distance can be 5 meters, 10 meters, etc. Specifically, it can be adaptively set by developers according to the site characteristics and supply process of the actual application scenario. This application does not make any limitations here. Different participants can choose to enable different function items inside the electronic bracelet. For example, step counting, heart rate detection, positioning function, blood oxygen detection, etc. Different function items can correspond to different static power consumption benchmark values. The static power consumption benchmark value can be the stable power consumption value per unit time after the electronic bracelet turns on a certain function item.

[0034] Step S102: Calculate the movement duration to reach the second supply station according to the distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station.

[0035] Among them, in order to effectively evaluate whether the remaining power of the electronic bracelet is sufficient to support it to reach the second supply station, it is necessary to calculate the movement duration of the electronic bracelet to reach the second supply station as one of the reference information for power prediction. The distance to this station can be the cumulative distance of the electronic bracelet from the current position to the second supply station based on the preset movement route. The average moving speed can be calculated based on the historical movement data of the wearer associated with the electronic bracelet. In one embodiment, the movement duration can be obtained by dividing the distance to this station by the average moving speed. In one embodiment, the average moving speed can be multiplied by a preset correction coefficient to obtain a target moving speed, and the movement duration can be obtained by dividing the distance to this station by the target moving speed, where the preset correction coefficient can be preset corresponding to different environmental factors such as wind direction, wind speed, road surface characteristics, temperature, etc. in the actual application scenario, and this application does not make a limitation here. Figure 2 A schematic diagram of the relative position relationship between an electronic bracelet, a first supply station, and a second supply station provided by an embodiment of this application, as Figure 2 shown, the distance between the electronic bracelet 101 and the first supply station 102 is less than the preset distance S1, the distance from the electronic bracelet 101 to the second supply station 103 is S2, and the second supply station 103 is the next supply station of the first supply station 102.

[0036] Step S103: Calculate the predicted power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption benchmark value, remaining power, and movement duration of the wearer associated with the electronic bracelet. When the predicted power value is less than the preset power value, generate a power warning message to prompt to replace the electronic bracelet at the first supply station.

[0037] Optionally, when the predicted power value is not less than the preset power value, generate a power prompt message to prompt not to replace the electronic bracelet at the first supply station.

[0038] Among them, due to the current ranking order of different participants, the amount of interaction data and the interaction frequency between the electronic bracelets they wear and the event backend server are different, which will lead to a large difference in the power consumption of the electronic bracelets. For example, since the position change of participants with higher rankings may affect the medal ownership and there is a business exposure requirement, it is necessary to upload location information, speed information, heart rate information, etc. to the backend service station at a high frequency to dynamically monitor the participants with higher rankings and meet the real-time live broadcast requirements. Correspondingly, the power consumption generated by the electronic bracelets they wear due to interaction with the backend server will be relatively high. Another example is that for participants with lower rankings, usually with the purpose of completing the race, there is no need to interact with the backend service station at a high frequency, and the power consumption generated by the electronic bracelets they wear due to interaction with the backend server will be relatively low. Therefore, by combining the current sports ranking of the wearer, the static power consumption benchmark value corresponding to the specific enabled function item, the remaining power, and the sports duration to reach the second supply station, the remaining power of the electronic bracelet when it reaches the second supply station can be reasonably predicted. In one embodiment, the dynamic power consumption benchmark value can be obtained by querying the set mapping relationship according to the sports ranking. The mapping relationship can be constructed based on the interaction information between the electronic bracelet and the backend service station and the corresponding statistical power consumption under different sports rankings in the historical records. The dynamic power consumption benchmark value can be the stable power consumption value per unit time when the electronic bracelet interacts with the backend service station. And multiplying the dynamic power consumption benchmark value by the sports duration can obtain the dynamic power consumption value. Multiplying the static power consumption benchmark value by the sports duration can obtain the static power consumption value. After subtracting the dynamic power consumption value and the static power consumption value from the remaining power respectively, the predicted power value can be obtained. In one embodiment, the sports ranking can be compared with multiple set threshold intervals, and the associated dynamic power consumption benchmark value can be queried according to the threshold interval where the sports ranking is located. Multiplying the sum of the dynamic power consumption benchmark value and the static power consumption benchmark value by the sports duration can obtain the total power consumption value. Subtracting the total power consumption value from the remaining power can obtain the predicted power value. After calculating the predicted power value, the predicted power value can be compared with a preset power value. The preset power value can be used to determine whether the current remaining power of the electronic bracelet will be lower than the minimum limit when it reaches the second supply station, which will affect the subsequent use of the electronic bracelet. Specifically, it can be adaptively set by the developer according to the bracelet power management setting in the actual application scenario, and this application does not make a limitation here. If the predicted power value is not less than the preset power value, it can be considered that the remaining power of the electronic bracelet can support it to reach the second supply station, and there is no need to replace it with a new electronic bracelet at the first supply station. If the predicted power value is less than the preset power value, it can be considered that the remaining power of the electronic bracelet cannot support it to reach the second supply station, and it needs to be replaced with a new electronic bracelet at the first supply station. Therefore, a power warning information can be generated correspondingly to prompt relevant personnel to replace the electronic bracelet at the first supply station.The power warning information may be voice broadcast information, screen pop-up information, etc., which is not limited in this application.

[0039] As described above, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, the current remaining power value and the internally enabled function items of the electronic bracelet are obtained. Among them, the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption reference values; the movement duration to reach the second supply station is calculated according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Among them, the second supply station is the next supply station of the first supply station; the predicted power value of the electronic bracelet at the second supply station is calculated according to the current movement ranking, static power consumption reference value, remaining power, and movement duration of the wearer associated with the electronic bracelet. When the predicted power value is less than the preset power value, a power warning information is generated to prompt the replacement of the electronic bracelet at the first supply station. In the above solution, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than the preset distance, by obtaining the current remaining power value and the internally enabled function items of the electronic bracelet, the current power status and operation status of the electronic bracelet can be timely understood, providing reference information reflecting the status of the electronic bracelet itself for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet, the cumulative time for the electronic bracelet to reach the second supply station after leaving the first supply station can be reasonably evaluated, providing reference information combined with the actual movement status for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the predicted power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption reference value, remaining power, and movement duration of the wearer associated with the electronic bracelet, the remaining power of the electronic bracelet when it reaches the second supply station can be accurately predicted, and the replacement of the electronic bracelet can be reasonably carried out to ensure that the timing of replacement at the supply station is accurate and reliable, and it can adapt to the sports event scenario.

[0040] Figure 3 It is a flowchart of a method for warning the power of an electronic bracelet based on positioning information including a process of determining a static power consumption reference value provided by an embodiment of the present application. As Figure 3 shown, it includes:

[0041] Step S201, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, the power consumption of each function item integrated inside the electronic bracelet is statistically analyzed, and a static power consumption reference value corresponding to each function item is determined based on the statistical result. Among them, the static power consumption reference value is the power consumption value per unit time when the corresponding function item is turned on.

[0042] In one embodiment, each functional item can respectively obtain the power consumption and the corresponding running duration of at least one associated hardware module within a preset duration. By summing up the multiplication results of the power consumption and the corresponding running duration of each hardware module, the total power consumption corresponding to the functional item can be obtained. Dividing the total power consumption corresponding to each functional item by the preset duration can obtain the corresponding static power consumption benchmark value. In one embodiment, after calculating the total power consumption corresponding to each functional item as described above, the total power consumption corresponding to each functional item can be added to the additional wake-up loss to obtain the target total power consumption. Dividing the target total power consumption corresponding to each functional item by the preset duration can obtain the corresponding static power consumption benchmark value. The additional wake-up loss can be the wake-up refresh of background software or the set keep-alive mechanism, which is not limited in this application.

[0043] Step S202: Obtain the current remaining power value of the electronic bracelet and the enabled functional items therein. Among them, the first supply station is the supply station closest to the electronic bracelet, and different functional items correspond to different static power consumption benchmark values.

[0044] Step S203: Calculate the movement duration to reach the second supply station according to the station distance from the electronic bracelet to the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Among them, the second supply station is the next supply station after the first supply station.

[0045] Step S204: Calculate the predicted power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption benchmark value, remaining power, and movement duration of the wearer associated with the electronic bracelet. When the predicted power value is less than the preset power value, generate a power warning message to prompt to replace the electronic bracelet at the first supply station.

[0046] As described above, by determining the static power consumption benchmark value corresponding to each functional item based on the statistical results of the power consumption of each functional item, it can provide a quantitative basis for calculating the power consumption value of each functional item before the electronic bracelet reaches the second supply station, which is beneficial to accurately predicting the remaining power of the electronic bracelet when it reaches the second supply station.

[0047] Figure 4 It is a flowchart of a method for warning the power of an electronic bracelet based on positioning information, which includes a process of determining a dynamic power consumption benchmark value. Different movement rankings correspond to different dynamic power consumption benchmark values. As Figure 4 shown, it includes:

[0048] Step S301: When it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, obtain the current remaining power value of the electronic bracelet and the enabled function items inside. Here, the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values.

[0049] Step S302: Calculate the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Here, the second supply station is the next supply station after the first supply station.

[0050] Step S303: Determine the information transmission frequency and information transmission volume between the electronic bracelet and the backend service station under different movement rankings, count the power consumption of different information transmission frequencies and information transmission volumes, and determine the corresponding dynamic power consumption benchmark value under each movement ranking based on the statistical results. Here, the dynamic power consumption benchmark value is the power consumption value per unit time of the electronic bracelet under the corresponding movement ranking.

[0051] Among them, due to the current ranking order, the interaction data volume and interaction frequency between the electronic bracelets worn by different participants and the event backend server are different. Based on the interaction information between the electronic bracelet and the backend service station within a preset time range that has been recorded, the information transmission frequency and information transmission volume between the electronic bracelet and the backend service station under each movement ranking can be determined. The information transmission frequency can be the number of times the electronic bracelet sends information to the backend service station within this preset time range, and the information transmission volume can be the data volume of the information sent by the electronic bracelet to the backend service station within this preset time range. It should be noted that the information transmission frequency can be used to represent the number of times the radio frequency module is awakened during the interaction between the electronic bracelet and the backend service station, and the power consumption of each wake-up will consume a fixed amount of power; the information transmission volume can be used to represent the size of the data volume transmitted during the interaction between the electronic bracelet and the backend service station, and there is a linear mapping relationship between the data volume size and the specific power consumption size. The data volume size can be correspondingly converted into the power consumption size. Thus, for each movement ranking, the information transmission frequency can be multiplied by the set wake-up power consumption to obtain the first power consumption, and the information transmission volume can be converted into the second power consumption based on the set mapping relationship. The first power consumption and the second power consumption are added to obtain the final power consumption of this movement ranking within the preset time range, and the final power consumption is divided by the duration corresponding to the preset time range to obtain the dynamic power consumption benchmark value. Figure 5 It is a schematic diagram of data transmission between an electronic bracelet and a backend service station provided by an embodiment of the present application. As Figure 5 shown, on the basis of Figure 2 during the movement of the wearer, there is data transmission between the electronic bracelet 101 and the backend service station 104.

[0052] Step S304: Calculate the predicted power value of the electronic bracelet at the second supply station according to the current exercise ranking, static power consumption baseline value, remaining power, and exercise duration associated with the wearer of the electronic bracelet. When the predicted power value is less than the preset power value, generate a power warning message to prompt for the replacement of the electronic bracelet at the first supply station.

[0053] As described above, by calculating the dynamic power consumption baseline value for each exercise ranking based on the statistical results of the power consumption under different information transmission frequencies and information transmission volumes, the power consumption lost during the interaction between the electronic bracelet and the back-end service station can be accurately calculated, and then the dynamic power consumption baseline value corresponding to each exercise ranking can be accurately calculated, which is beneficial to accurately predicting the remaining power of the electronic bracelet when it reaches the second supply station.

[0054] Figure 6 It is a flowchart of a positioning information-based electronic bracelet power warning method provided by an embodiment of the present application, which includes the process of calculating the predicted power value of the electronic bracelet at the second supply station, as Figure 6 shown, including:

[0055] Step S401: When it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than the preset distance, obtain the current remaining power value of the electronic bracelet and the enabled function items inside. Among them, the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption baseline values.

[0056] Step S402: Calculate the exercise duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Among them, the second supply station is the next supply station after the first supply station.

[0057] Step S403: Determine the information transmission frequency and information transmission volume between the electronic bracelet and the back-end service station under different exercise rankings, count the power consumption under different information transmission frequencies and information transmission volumes, and determine the corresponding dynamic power consumption baseline value for each exercise ranking based on the statistical results. Among them, the dynamic power consumption baseline value is the power consumption value per unit time of the electronic bracelet under the corresponding exercise ranking.

[0058] Step S404: Calculate the total power consumption per unit time according to the dynamic power consumption baseline value and the static power consumption baseline value, calculate the power consumption for the journey according to the total power consumption per unit time and the exercise duration, and subtract the power consumption for the journey from the remaining power to obtain the predicted power value of the electronic bracelet at the second supply station.

[0059] Among them, the dynamic power consumption reference value is used to represent the power consumption value per unit time of the smart bracelet corresponding to the corresponding exercise ranking, and the static power consumption reference value is used to represent the power consumption value per unit time when the corresponding function item is turned on. Thus, the static power consumption reference value corresponding to each function item and the dynamic power consumption reference value corresponding to the current exercise ranking of the wearer can be added to obtain the total power consumption per unit time. In one embodiment, the total power consumption per unit time can be multiplied by the exercise duration to obtain the power consumption for the journey, that is, the power consumption required for the smart bracelet to reach the second supply station. In one embodiment, the compensation coefficient can be added to the total power consumption per unit time to obtain the target total power consumption per unit time, and the target total power consumption per unit time is multiplied by the exercise duration to obtain the power consumption for the journey. The compensation coefficient can be preset based on environmental factors such as different wind directions, wind speeds, road surface characteristics, and temperatures in actual application scenarios, which is not limited in this application. Finally, subtracting the power consumption for the journey from the remaining power can obtain the predicted power value of the smart bracelet at the second supply station.

[0060] Step S405: When the predicted power value is less than the preset power value, generate a power warning message to prompt to replace the smart bracelet at the first supply station.

[0061] As described above, by calculating the total power consumption per unit time according to the dynamic power consumption reference value and the static power consumption reference value, the power loss per unit time before the smart bracelet reaches the second supply station can be reasonably calculated. By calculating the power consumption for the journey according to the total power consumption per unit time and the exercise duration, the total power consumption required for the smart bracelet to reach the second supply station can be accurately calculated, providing reliable reference information for predicting the remaining power of the smart bracelet at the second supply station.

[0062] Figure 7 It is a flowchart of a method for warning the power of a smart bracelet based on location information, which includes a process of judging whether to generate a power warning message based on a predicted power adjustment value. As Figure 7 shown, it includes:

[0063] Step S501: When it is detected based on the location information of the smart bracelet that the distance between the smart bracelet and the first supply station is less than the preset distance, obtain the current remaining power value of the smart bracelet and the function items enabled inside, where the first supply station is the supply station closest to the smart bracelet, and different function items correspond to different static power consumption reference values.

[0064] Step S502: Calculate the exercise duration to reach the second supply station according to the station distance between the smart bracelet and the second supply station and the average moving speed of the wearer associated with the smart bracelet, where the second supply station is the next supply station of the first supply station.

[0065] Step S503: Calculate the predicted power value of the electronic bracelet at the second supply station based on the current exercise ranking, static power consumption benchmark value, remaining power, and exercise duration associated with the wearer of the electronic bracelet, determine the current power adjustment value of the electronic bracelet, and adjust the predicted power value based on the power adjustment value to obtain the predicted power adjustment value.

[0066] Among them, considering that environmental factors such as temperature and humidity and the battery's own loss will affect the available capacity of the battery in the actual application scenario, the current power adjustment value of the electronic bracelet can be determined corresponding to different degrees of environmental factors such as temperature and humidity and the battery's own loss. Specifically, one or more of the temperature value, humidity value, battery loss value, etc. can be selected, and the required power adjustment value can be calculated by combining the pre-set mapping relationship. This mapping relationship can be specifically constructed by developers based on the capacity measurement data corresponding to different environmental factors and the battery's own loss in the actual application scenario, and this application does not make any limitations here. In one embodiment, the predicted power adjustment value can be obtained by adding the power adjustment value and the predicted power value. In one embodiment, the predicted power adjustment value can be obtained by performing a weighted calculation on the power adjustment value and the predicted power value. The specific weight can be adaptively selected by developers according to the actual influence degree of different environmental factors and battery loss on the battery capacity in the actual application scenario, and this application does not make any limitations here.

[0067] Step S504: When the predicted power adjustment value is less than the preset power value, generate a power warning message to prompt to replace the electronic bracelet at the first supply station.

[0068] Among them, if the predicted power adjustment value is less than the preset power value, it can be considered that the remaining power of the electronic bracelet cannot support it to reach the second supply station, and a new electronic bracelet needs to be replaced at the first supply station. Therefore, a power warning message can be generated correspondingly.

[0069] As described above, by determining the current power adjustment value of the electronic bracelet and adjusting the predicted power value based on the power adjustment value to obtain the predicted power adjustment value, the predicted power value can be corrected, and the accuracy of power prediction can be improved.

[0070] Figure 8 It is a flowchart of a positioning information-based electronic bracelet power warning method provided by an embodiment of the present application, which includes the process of determining the current power adjustment value of the electronic bracelet. As Figure 8 shown, it includes:

[0071] Step S601: When it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than the preset distance, obtain the current remaining power value of the electronic bracelet and the enabled function items inside. Here, the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values.

[0072] Step S602: Calculate the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Here, the second supply station is the next supply station after the first supply station.

[0073] Step S603: Calculate the predicted power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption benchmark value, remaining power, and movement duration of the wearer associated with the electronic bracelet. Determine the temperature value and battery loss value of the current environment where the electronic bracelet is located. Calculate the current power adjustment value based on the temperature value and battery loss value, and adjust the predicted power value based on the power adjustment value to obtain the predicted power adjustment value.

[0074] Among them, the temperature value of the current environment can be measured based on the temperature sensor built in the electronic bracelet, and the battery loss value can be estimated according to the recorded battery usage duration and charge-discharge conditions. In one embodiment, the temperature value and the battery loss value can be calculated through function mapping to obtain the power adjustment value. In one embodiment, the first adjustment value and the second adjustment value can be calculated respectively based on the temperature value, the battery loss value, and their respective mapping relationships, and the first adjustment value and the second adjustment value can be weighted to calculate the power adjustment value.

[0075] Step S604: When the predicted power adjustment value is less than the preset power value, generate a power warning message to prompt to replace the electronic bracelet at the first supply station.

[0076] As described above, by calculating the current power adjustment value of the electronic bracelet according to the temperature value and the battery loss value, it is possible to effectively combine the environmental factors of the actual application scenario and the battery's own loss to evaluate the adjustment magnitude of the predicted power value, which is beneficial to obtaining a predicted power adjustment value that more accurately represents the remaining power of the electronic bracelet.

[0077] Figure 9 The block diagram of a power warning system for an electronic bracelet based on positioning information provided by an embodiment of the present application. This system is configured to execute the power warning method for an electronic bracelet based on positioning information provided by the above embodiment, and has the corresponding functional modules and beneficial effects for executing the method. As Figure 9 shown, this system includes:

[0078] The bracelet information acquisition module 201 is configured to obtain the current remaining power value and the internally enabled function items of the electronic bracelet when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, where the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values;

[0079] The exercise duration determination module 202 is configured to calculate the exercise duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station;

[0080] The warning information generation module 203 is configured to calculate the predicted power value of the electronic bracelet at the second supply station according to the current exercise ranking, static power consumption benchmark value, remaining power, and exercise duration of the wearer associated with the electronic bracelet. When the predicted power value is less than the preset power value, a power warning information is generated to prompt the replacement of the electronic bracelet at the first supply station.

[0081] In an embodiment of the present application, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, the current remaining power value of the electronic bracelet and the enabled function items inside are obtained, where the first supply station is the supply station closest to the electronic bracelet, and different function items correspond to different static power consumption benchmark values; the movement duration to reach the second supply station is calculated according to the station distance between the electronic bracelet and the second supply station and the average movement speed of the wearer associated with the electronic bracelet, where the second supply station is the next supply station of the first supply station; the predicted power value of the electronic bracelet at the second supply station is calculated according to the current movement ranking of the wearer associated with the electronic bracelet, the static power consumption benchmark value, the remaining power, and the movement duration. When the predicted power value is less than the preset power value, a power warning message is generated to prompt the replacement of the electronic bracelet at the first supply station. In the above solution, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than the preset distance, by obtaining the current remaining power value of the electronic bracelet and the enabled function items inside, the current power status and operation status of the electronic bracelet can be timely understood, providing reference information reflecting the status of the electronic bracelet itself for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average movement speed of the wearer associated with the electronic bracelet, the cumulative time for the electronic bracelet to reach the second supply station after leaving the first supply station can be reasonably evaluated, providing reference information combined with the actual movement status for subsequent evaluation of whether the electronic bracelet needs to be replaced; by calculating the predicted power value of the electronic bracelet at the second supply station according to the current movement ranking of the wearer associated with the electronic bracelet, the static power consumption benchmark value, the remaining power, and the movement duration, the remaining power of the electronic bracelet when it reaches the second supply station can be accurately predicted, and the replacement of the electronic bracelet can be reasonably carried out to ensure that the timing of replacement at the supply station is accurate and reliable, and it can adapt to the sports event scenario.

[0082] In a possible embodiment, it further includes a static power consumption benchmark value determination module, configured to:

[0083] Statistically analyze the power consumption of each function item integrated inside the electronic bracelet;

[0084] Based on the statistical results, determine the static power consumption benchmark value corresponding to each function item, and the static power consumption benchmark value is the power consumption value per unit time when the corresponding function item is turned on.

[0085] In a possible embodiment, different movement rankings correspond to different dynamic power consumption benchmark values. It further includes a dynamic power consumption benchmark value determination module, configured to:

[0086] Determine the information transmission frequency and information transmission volume between the electronic bracelet and the backend service station under different movement rankings;

[0087] Statistically analyze the power consumption for different information transmission frequencies and amounts of information transmitted;

[0088] Based on the statistical results, determine the corresponding dynamic power consumption benchmark value for each exercise ranking. The dynamic power consumption benchmark value is the power consumption value per unit time of the smart bracelet under the corresponding exercise ranking.

[0089] In a possible embodiment, the warning information generation module 203 is further configured to:

[0090] Calculate the total power consumption per unit time according to the dynamic power consumption benchmark value and the static power consumption benchmark value;

[0091] Calculate the power consumption for the distance according to the total power consumption per unit time and the exercise duration;

[0092] Subtract the power consumption for the distance from the remaining power to obtain the predicted power value of the smart bracelet at the second supply station.

[0093] In a possible embodiment, it further includes a predicted power adjustment module configured to:

[0094] Determine the current power adjustment value of the smart bracelet, and adjust the predicted power value based on the power adjustment value to obtain the predicted power adjustment value;

[0095] Correspondingly, the warning information generation module 203 is further configured to:

[0096] Generate a power warning information when the predicted power adjustment value is less than the preset power value.

[0097] In a possible embodiment, the predicted power adjustment module is further configured to:

[0098] Determine the temperature value and the battery loss value of the environment where the smart bracelet is currently located;

[0099] Calculate the current power adjustment value of the smart bracelet according to the temperature value and the battery loss value.

[0100] In a possible embodiment, it further includes a prompt information generation module configured to:

[0101] Generate a power prompt information when the predicted power value is not less than the preset power value to prompt that the smart bracelet is not replaced at the first supply station.

[0102] Figure 10 The following is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 10 shown, the device includes a processor 301, a memory 302, an input device 303, and an output device 304; the number of processors 301 in the device can be one or more. Figure 10Taking a processor 301 as an example; the processor 301, the memory 302, the input device 303, and the output device 304 in the device may be connected through a bus or other means. Figure 10 Taking the connection through the bus as an example. The memory 302, as a computer-readable storage medium, can be configured to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for warning the battery power of the electronic bracelet based on the positioning information in the embodiments of the present application. The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 302, that is, implements the above-mentioned method for warning the battery power of the electronic bracelet based on the positioning information. The input device 303 can be configured to receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the device. The output device 304 may include a display device such as a display screen.

[0103] The embodiments of the present application further provide a non-volatile storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, they are configured to execute a method for warning the battery power of the electronic bracelet based on the positioning information described in the above embodiments. Specifically, when it is detected based on the positioning information of the electronic bracelet that the distance between the electronic bracelet and the first supply station is less than a preset distance, obtain the current remaining battery power value and the internally enabled function items of the electronic bracelet. Here, the first supply station is the nearest supply station to the electronic bracelet, and different function items correspond to different static power consumption benchmark values; calculate the movement duration to reach the second supply station according to the station distance between the electronic bracelet and the second supply station and the average moving speed of the wearer associated with the electronic bracelet. Here, the second supply station is the next supply station of the first supply station; calculate the predicted battery power value of the electronic bracelet at the second supply station according to the current movement ranking, static power consumption benchmark value, remaining battery power, and movement duration of the wearer associated with the electronic bracelet. When the predicted battery power value is less than the preset battery power value, generate a battery power warning message to prompt for replacing the electronic bracelet at the first supply station.

[0104] Of course, the computer-executable instructions of the storage medium containing computer-executable instructions provided by the embodiments of the present application are not limited to the above method for warning the battery power of the electronic bracelet based on the positioning information, and can also execute the related operations in the method for warning the battery power of the electronic bracelet based on the positioning information provided by any embodiment of the present application.

[0105] Storage medium - Any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory such as flash memory, magnetic media, or optical storage; registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. Additionally, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system that is connected to the first computer system via a network (such as the Internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions executable by one or more processors (e.g., embodied as a computer program).

[0106] The electronic bracelet power warning system, electronic device, and storage medium provided in the above embodiments can execute the method for warning the power of an electronic bracelet based on location information provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, reference may be made to the method for warning the power of an electronic bracelet based on location information provided in any embodiment of the present application.

[0107] It should be noted that in the embodiments of the above electronic bracelet power warning system based on location information, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and are not configured to limit the protection scope of the embodiments of the present application.

[0108] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments here. Various obvious changes, re-adjustments, and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, more other equivalent embodiments may be included, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for early warning of battery power of an electronic wristband based on positioning information, characterized in that: include: When it is detected based on the positioning information of the electronic wristband that the distance between the electronic wristband and the first supply station is less than a preset distance, the current remaining power value of the electronic wristband and the internally enabled function items are obtained, wherein the first supply station is the supply station closest to the electronic wristband, and different function items correspond to different static power consumption reference values; Calculate the movement time to reach the second supply station according to the station distance from the electronic wristband to the second supply station and the average moving speed of the wearer associated with the electronic wristband, and the second supply station is the next supply station of the first supply station; Determine the information transmission frequency and information transmission amount between the electronic wristband and the back-end service station under different sports rankings, collect statistics on the power consumption of the different information transmission frequencies and information transmission amounts, and determine the dynamic power consumption reference value corresponding to each sports ranking based on the statistical results. The dynamic power consumption reference value is the power consumption value per unit time of the electronic wristband under the corresponding sports ranking, and different sports rankings correspond to different dynamic power consumption reference values; Calculating the predicted power value of the electronic wristband at the second supply station according to the current sports ranking of the wearer associated with the electronic wristband, the static power consumption reference value, the remaining power and the exercise duration, including: calculating the total power consumption per unit time according to the dynamic power consumption reference value and the static power consumption reference value, calculating the distance power consumption according to the total power consumption per unit time and the exercise duration, and subtracting the distance power consumption from the remaining power to obtain the predicted power value of the electronic wristband at the second supply station; When the predicted power value is less than the preset power value, power warning information is generated to prompt the electronic bracelet to be replaced at the first supply station.

2. The method for early warning of the battery level of an electronic wristband based on positioning information according to claim 1, characterized in that: Before obtaining the current remaining power value of the electronic wristband and the internally enabled function items, the method further includes: Statistics on the power consumption of each functional item integrated in the electronic bracelet; Based on the statistical results, a static power consumption reference value corresponding to each function item is determined, where the static power consumption reference value is a power consumption value per unit time when the corresponding function item is turned on.

3. The method for early warning of the battery level of an electronic wristband based on positioning information according to any one of claims 1-2, characterized in that: Before generating the power warning information, the method further includes: Determine a current power adjustment value of the electronic wristband, and adjust the predicted power value based on the power adjustment value to obtain a predicted power adjustment value; Correspondingly, when the predicted power value is less than the preset power value, generating power warning information includes: When the predicted power adjustment value is less than the preset power value, power warning information is generated.

4. The method for early warning of the battery level of an electronic wristband based on positioning information according to claim 3 is characterized in that: Determining the current power adjustment value of the electronic wristband includes: Determine the temperature value and battery loss value of the current environment of the electronic wristband; The current power adjustment value of the electronic wristband is calculated according to the temperature value and the battery loss value.

5. The method for early warning of the battery level of an electronic wristband based on positioning information according to any one of claims 1-2, characterized in that: The method further comprises: When the predicted power value is not less than the preset power value, power prompt information is generated to prompt that the electronic bracelet should not be replaced at the first supply station.

6. An electronic bracelet power warning system based on positioning information, characterized in that: include: The wristband information acquisition module is configured to acquire the current remaining power value of the electronic wristband and the internally enabled function items when it is detected based on the positioning information of the electronic wristband that the distance between the electronic wristband and the first supply station is less than a preset distance, wherein the first supply station is the supply station closest to the electronic wristband, and different function items correspond to different static power consumption reference values; an exercise duration determination module, configured to calculate the exercise duration to reach the second supply station according to the station distance from the electronic wristband to the second supply station and the average moving speed of the wearer associated with the electronic wristband, the second supply station being the next supply station of the first supply station; The warning information generation module is configured to determine the information transmission frequency and information transmission amount between the electronic wristband and the back-end service station under different sports rankings, collect statistics on the power consumption of the different information transmission frequencies and information transmission amounts, determine the dynamic power consumption reference value corresponding to each sports ranking based on the statistical results, the dynamic power consumption reference value is the power consumption value of the electronic wristband per unit time under the corresponding sports ranking, and different sports rankings correspond to different dynamic power consumption reference values; and calculate the total power consumption per unit time according to the dynamic power consumption reference value and the static power consumption reference value, calculate the distance power consumption according to the total power consumption per unit time and the sports duration, subtract the distance power consumption from the remaining power to obtain the predicted power value of the electronic wristband at the second supply station, and generate power warning information when the predicted power value is less than the preset power value to prompt the replacement of the electronic wristband at the first supply station.

7. An electronic device, characterized in that: The electronic device includes: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the electronic bracelet power warning method based on positioning information as described in any one of claims 1-5.

8. A storage medium storing computer executable instructions, characterized in that: The computer executable instructions are used to execute the electronic bracelet power warning method based on positioning information as described in any one of claims 1 to 5 when executed by a computer processor.

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