WO2022062978A1 - Data processing method and electronic device - Google Patents

Abstract

Embodiments of the present application provide a data processing method. The method comprises: obtaining first movement data to be processed, and determining first processing priority of first movement data; obtaining a first weight ratio corresponding to the first processing priority; and according to the first weight ratio, allocating a first resource for processing the first movement data. The technical solution of the embodiments of the present application facilitates ensuring real-time processing of movement data having high processing priority.

Description

Data processing method and electronic device

This application claims the priority of the Chinese patent application with the application number 202011035008.3 and the application name "Data Processing Method and Electronic Device" filed with the China Patent Office on September 27, 2020, the entire contents of which are incorporated into this application by reference.

technical field

The present application relates to the field of electronic technology, and in particular, to a data processing method and electronic device.

Background technique

With the development of society and the improvement of people's health awareness, the demand for sports health monitoring using smart devices is increasing day by day. Therefore, different kinds of wearable devices and accessories have appeared, which can be used to measure various sports data, such as measuring speed and heart rate with smart bracelets, measuring running posture with running posture accessories, and so on. Wearable devices and accessories can transmit the measured movement data to terminal devices for processing and display. For example, during exercise, various devices collect various exercise data, and transmit the exercise data to the terminal device for processing through Bluetooth. However, the transmission and processing of various motion data will cause delays, and the real-time nature of the data cannot be guaranteed.

SUMMARY OF THE INVENTION

The present application discloses a data processing method, which ensures the real-time processing of motion data with high processing priority on the premise that all motion data with processing priority are processed.

In a first aspect, an embodiment of the present application provides a data processing method, wherein the method includes: acquiring first motion data to be processed, and determining a first processing priority of the first motion data; The first weight ratio corresponding to the priority; according to the first weight ratio, the first resource for processing the first motion data is allocated.

In the above data processing method, the data is divided into priorities, and different processing resources are allocated to the data of different priorities, so that the higher priority motion data can get more processing resources, thus ensuring the high processing priority motion data. Real-time processing of data.

In some possible embodiments, the first motion data to be processed is first motion data to be transmitted, and the first resource is a transmission resource used for transmitting the first motion data. Therefore, after the priority is divided, corresponding transmission resources can be allocated to the motion data according to the weight ratio corresponding to the priority, thereby ensuring the real-time transmission of the motion data with high processing priority.

In some possible embodiments, before determining the first processing priority of the first motion data, the method further includes: determining that the data amount of the motion data to be transmitted currently is greater than a first threshold, and the motion data to be transmitted includes the first motion data. motion data; or, it is determined that the stability of the current network state is less than the second threshold. Therefore, the present application can be used as an optional solution. When the amount of data is too large or the network state is unstable, the solution of the present application is adopted, and when the amount of data is small and the network state is stable, the existing solution is adopted, which is beneficial to Reduce resource usage.

In some possible embodiments, determining the first processing priority of the first motion data includes: determining a first data type to which the first motion data belongs, where the first data type is used to represent the attribute; determining the first processing priority of the first motion data according to the first data type.

Optionally, the first data type includes one of a motion control data type, a real-time motion data type, a pan-motion data type, or a notification data type.

Optionally, determining the first processing priority of the first motion data according to the first data type includes: if the first data type is a motion control data type, determining that the first processing priority of the first motion data is: The highest priority among M priorities, where M is an integer greater than or equal to 1. In this way, it can be ensured that the priority of the motion control data is high, so the electronic device can process the motion control instructions in time, thereby ensuring the real-time and accuracy of the data.

Optionally, determining the first processing priority of the first motion data according to the first data type includes: if the first data type is not a motion control data type, obtaining a first priority corresponding to the first motion data value; determine the first priority value range where the first priority value is located, the first priority value range is one of M priority value ranges, and each priority value in the M priority value ranges The range corresponds to one of the M priorities; the priority corresponding to the first priority value range is determined as the first processing priority of the first motion data. In this way, the motion data can be clearly prioritized.

Wherein, acquiring the first priority value corresponding to the first motion data includes: acquiring a first priority coefficient corresponding to the first data type, where the first priority coefficient is used to represent data belonging to the first data type The priority level of the real-time processing; according to the first priority coefficient, determine the first priority value corresponding to the first motion data. In this way, the priority can be determined according to the data type of the motion data.

Wherein, determining the first priority value corresponding to the first motion data according to the first priority coefficient includes: if the first priority coefficient is less than or equal to a third threshold, determining the first priority coefficient as the first priority coefficient The first priority value corresponding to the first motion data; if the first priority coefficient is greater than the third threshold, obtain an adjustment coefficient for adjusting the size of the first priority coefficient, where the adjustment coefficient includes the second priority coefficient and /or a third priority factor, wherein the second priority factor is determined according to the type of movement associated with the first movement data, and the third priority factor is determined according to the change of the first movement data within the target period If the rate is determined, the second priority coefficient and the third priority coefficient are both greater than 1; according to the first priority coefficient and the adjustment coefficient, the first priority value corresponding to the first motion data is determined. In this way, the priority of the motion data can be further adjusted according to the motion type and/or the rate of change, so that the division of the priority is more reasonable and practical, thereby ensuring the real-time processing of the motion data with high processing priority.

Optionally, the adjustment coefficient includes a second priority coefficient, and the method further includes: acquiring a first motion type related to the first motion data; and determining the second priority according to the first motion type and the first motion data. The second priority coefficient is used to indicate the priority level of the first motion data being processed in real time in the motion indicated by the first motion type.

Optionally, the adjustment coefficient includes a third priority coefficient, and the method further includes: acquiring a change rate of the first motion data within a target period; and determining the third priority coefficient according to the change rate.

In a second aspect, an embodiment of the present application provides an electronic device, wherein the electronic device includes: one or more processors and one or more memories; the one or more memories are coupled to the one or more processors, The one or more memories are used to store computer program codes, the computer program codes include computer instructions, and it is characterized in that when the one or more processors execute the computer instructions, the electronic device performs the first aspect and the first A method described in any possible implementation of the aspect.

In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes The method described in one aspect and any possible implementation of the first aspect.

In a fourth aspect, the present application provides a computer program product containing instructions, when the computer program product is executed on an electronic device, the electronic device is made to execute the first aspect and any possible implementation manner of the first aspect. method.

In a fifth aspect, the present application provides a computer-readable storage medium, comprising instructions that, when the above-mentioned instructions are executed on an electronic device, cause the above-mentioned electronic device to execute the first aspect and any possible implementation manner of the first aspect. method. Understandably, the electronic device described in the second aspect, the computer device described in the third aspect, the computer program product described in the fourth aspect, and the computer storage medium described in the fifth aspect are all used to execute the first The aspect, or the data processing method provided by any possible implementation manner of the first aspect. Therefore, for the beneficial effects that can be achieved, reference may be made to the beneficial effects in the corresponding method, which will not be repeated here.

Description of drawings

The accompanying drawings used in the embodiments of the present application will be introduced below.

1 is a system diagram of a data processing method provided by an embodiment of the present application;

2A is a schematic flowchart of a data processing method provided by an embodiment of the present application;

2B is a flowchart of a method for determining a priority provided by an embodiment of the present application;

3A is a schematic diagram of a motion scene provided by an embodiment of the present application;

3B is a schematic diagram of another motion scene provided by an embodiment of the present application;

4 is a schematic diagram of a conventional data processing process provided by an embodiment of the present application;

5 is a schematic diagram of a data processing process provided by an embodiment of the present application;

6 is a schematic diagram of another data processing process provided by an embodiment of the present application;

7 is a schematic diagram of an electronic device provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

detailed description

The embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application. The terms used in the implementation part of the embodiments of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

Please refer to FIG. 1. FIG. 1 is a system diagram of a data processing method provided by an embodiment of the present application. As shown in Figure 1, this system can include a smart device and a terminal device, the smart device and the terminal device establish a data connection, for example, the smart device and the terminal device can establish a data connection through Bluetooth, or the smart device and the terminal device can also be connected through Wi-Fi establishes a data connection and more.

The smart device can measure the motion data, and further transmit the motion data to the terminal device and/or process the motion data. The terminal device can also process the motion data and/or display the motion data, and so on. The terminal device can also transmit the processing result of the motion data to the smart device. Among them, smart devices may include but are not limited to wearable devices such as smart watches, smart bracelets, running accessories, or devices such as treadmills and mobile phones, while terminal devices may include but are not limited to mobile phones, tablet computers, PDAs, or other types of electronic equipment, etc.

Please refer to FIG. 2A , which is a schematic flowchart of a data processing method provided by an embodiment of the present application. Wherein, as shown in Figure 2A, a data processing method may include:

S210. Acquire first motion data to be processed.

First, the electronic device acquires the first motion data to be processed. The electronic device may be a smart device or a terminal device as shown in FIG. 1 . Correspondingly, the electronic device may measure and obtain the first motion data to be processed, or the electronic device may receive the first motion data to be processed from other electronic devices. Optionally, the electronic device includes, but is not limited to, a wearable device, a treadmill, a mobile phone, a tablet computer, a notebook computer or a palmtop computer, and the like. Exemplarily, the first motion data may be one or more of a plurality of motion data to be processed. The motion data to be processed may be motion data to be transmitted.

The exercise data may include but are not limited to the following data: speed, number of steps, heart rate, distance, heat, message notification, alarm clock reminder, weather warning, etc.

S220. Determine a first processing priority of the first motion data.

Optionally, in some embodiments, before determining the first processing priority of the first motion data, it is first determined that the data amount of the motion data currently to be transmitted is greater than a first threshold, and the motion data to be transmitted includes the first motion data. motion data; or, it is determined that the stability of the current network state is less than the second threshold. The first threshold and the second threshold may be preset thresholds. That is to say, when the amount of data transmitted by the smart device to the terminal device as shown in FIG. 1 is too large (greater than the first threshold, such as exceeding the bandwidth) or the network state is unstable (less than the second threshold), the data provided by this application can be used. The data processing method is to prioritize the data to be transmitted, and then transmit the data according to the allocated transmission resources; and when the amount of transmitted data is not large and the network state is stable, the data processing method provided in this application may not be used, There is no need to prioritize the data to be transmitted, and the acquired data enters the queue to be transmitted in sequence, and is transmitted in sequence.

There may be multiple ways to determine the priority of the motion data, and the total number of priorities of the motion data may include multiple.

In some embodiments, the first processing priority of the first motion data may be determined according to the first data type to which it belongs. Wherein, the first data type is used to represent the attribute of the first motion data.

Optionally, as shown in FIG. 2B , determining the first processing priority of the first motion data according to the first data type to which it belongs may include the following steps:

S221. Determine the first data type to which the first motion data belongs.

The data types can be classified in various ways. In the embodiment of the present application, the data types to which the motion data belongs are divided into the following four types: motion control data types, real-time motion data types, pan-motion data types, and notification data types. Table 1 lists some of the motion data corresponding to these four data types.

The motion control data refers to the control instruction data for the user to change the motion process, including instruction data such as start, pause, resume, and end.

The real-time exercise data refers to the data that reflects the real-time exercise of the user, including data such as speed, distance, heart rate, cadence, and running posture.

Pan-sport data refers to general data related to the exercise process, including medium and high intensity, step count statistics, calorie statistics and other data.

Notification data refers to other data not directly related to the exercise process, including data such as message notifications, alarm clock reminders, and weather warnings.

Table 1

In some embodiments, the method of determining the first data type to which the first motion data belongs may include: as shown in Table 2, in the electronic device, a table recording the correspondence between the motion data and the data type is stored, and in the table One column records various sports data, and the other column records the data type to which this sports data belongs. When the electronic device acquires a certain motion data, it queries the table to determine the data type to which the motion data belongs. In other embodiments, the data type to which the motion data belongs may also be determined in other manners, which is not limited in this application.

Table 2

sports data	type of data
Sports data 1	data type 1
Start	motion control data
Step count	Pan motion data

…

…

S222. Determine whether the first data type is a motion control data type.

The first data type to which the first motion data belongs can be obtained from the above step S221, and then it is determined whether the first data type is a motion control data type.

If so, step S226 is executed to determine the first processing priority of the first motion data as the highest priority among the M priorities, where M is a positive number greater than or equal to 1.

If not, the next step S223 is executed, and the first priority coefficient is determined according to the first data type to which the first motion data belongs.

S223. Determine a first priority coefficient according to the first data type to which the first motion data belongs.

The first priority coefficient may be used to determine a first priority value from which a first processing priority of the first motion data may be determined.

In some embodiments, the motion data may be given a preliminary priority according to the data type, and the first priority coefficient may be determined according to the preliminary priority. Exemplarily, the first data type belongs to the sports real-time data type, the preliminary priority of the first sports data can be set as high priority, and the first priority coefficient corresponding to the high priority is a ₁ ; the first data type belongs to pan-sports. Data type, the preliminary priority of the first motion data can be set as a medium priority, and the first priority coefficient corresponding to the medium priority is a ₂ ; the first data type belongs to the notification data type, and the preliminary priority of the first motion data can be Set as a low priority, and the first priority coefficient corresponding to the low priority is a ₃ ;

a ₁ , a ₂ , and a ₃ are all real numbers greater than 0 and less than 1, and a ₁ >a ₂ >a ₃ .

S224. Determine whether the first priority coefficient is greater than the third threshold.

The first priority coefficient corresponding to the first motion data can be obtained from the above step S223, and then it is determined whether the first priority coefficient is greater than the threshold. The third threshold may be a preset threshold.

If not, step S226 is executed, the first priority coefficient is determined as the first priority value of the first motion data, and the first processing priority thereof is determined according to the first priority value.

If so, go to the next step S225 to obtain an adjustment coefficient for adjusting the size of the first priority coefficient, and determine the first priority value of the first motion data according to the first priority coefficient and the adjustment coefficient, thereby determining its first processing priority.

Exemplarily, the third threshold may be N, and a ₁ >N>a ₂ . Therefore, if the first motion data belongs to the pan-motion data type, the initial priority is medium priority, and its first priority coefficient is a ₂ , which is smaller than the third threshold N, so the first priority value is a ₂ ; if the first priority is a 2 ; A motion data belongs to the notification data type, the initial priority is low priority, and its first priority coefficient is a ₃ , which is smaller than the third threshold N, so the first priority value is a ₃ .

If the first motion data belongs to the motion real-time data type, the initial priority is high priority, and its first priority coefficient is a ₁ , which is greater than the third threshold N, so the adjustment coefficient needs to be obtained. According to the first priority coefficient and the adjustment The coefficient determines the first priority value. That is, when the preliminary priority is a high priority, the preliminary priority is adjusted.

S225. Obtain an adjustment coefficient for adjusting the size of the first priority coefficient.

In some embodiments, the adjustment factor includes a second priority factor and/or a third priority factor, wherein the second priority factor is determined according to the first movement type associated with the first movement data, the third priority factor The coefficient is determined according to the rate of change of the first motion data within the target period, and both the second priority coefficient and the third priority coefficient are greater than 1.

The following describes the process of determining the second priority coefficient according to the first motion type related to the first motion data.

The first motion type is associated with the first motion data. The electronic device may determine, according to the first motion data, a first motion type related to the first motion data. The first exercise type can be determined in a variety of ways. For example, it can be determined in the following way: the user selects a certain exercise type when exercising, and the first exercise data can be obtained correspondingly to obtain the exercise type, then the exercise type can be determined. For the first movement type. This application does not limit this.

In this embodiment of the present application, the sports types may include, but are not limited to, the following types: indoor running, outdoor running, cross-country running, cycling, mountain climbing, swimming, soccer, and the like.

The importance of the same motion data may be different in the motions indicated by different motion types. For example, speed is more important when running outdoors, but data such as altitude and climbing speed are more important when mountaineering and trail running. Therefore, the priority of motion data can be adjusted according to the type of motion.

Table 3 lists the importance of motion data in different motion types, and the importance actually also reflects the priority level of the motion data being processed in real time in the motion indicated by the motion type.

For a piece of motion data, the motion data has different priorities in different types of motion, so the magnitudes of the priority coefficients corresponding to different motion types are different. A second priority factor may be set for the first motion data according to the first motion type. The second priority coefficient is an adjustment coefficient used to adjust the first priority coefficient.

Exemplarily, in the motion indicated by the corresponding first motion type, if the first motion data is of high priority, the second priority coefficient is set to b ₁ ; if the first motion data is of medium priority, the second priority is The level coefficient is b ₂ ; if the first motion data is of low priority, the second priority coefficient is b ₃ ; b ₁ , b ₂ , and b ₃ are all real numbers greater than 1 and less than 10, and b ₁ >b ₂ >b ₃ .

For example, when running indoors, the running posture is more important and is high-priority data, so the second priority coefficient is b ₁ ; in cross-country running, the running posture is generally important and is medium-priority data, so the second priority The coefficient is b ₂ ; when riding, the running posture is less important and is low-priority data, so the second priority coefficient is b ₃ .

table 3

	speed	climb speed	heart rate	distance	running posture
outdoor running	high	middle	high	high	high
indoor running	high	middle	high	high	high
Trail running	middle	high	high	high	middle
ride	high	middle	high	high	Low

The following describes the process of determining the third priority coefficient according to the rate of change of the first motion data within the target period.

The rate of change of the exercise data within the target period reflects the real-time exercise state of the user. A large change rate can indicate that the corresponding motion data changes rapidly, and the accuracy of the data may be affected if it is not processed in time. Therefore, the priority of motion data can be adjusted by the rate of change. In some embodiments, a rate of change of the first motion data within 5 seconds, ie, a rate of change of 5 s, may be calculated. The 5s rate of change can be defined as:

Among them, v _now represents the current data value, and v _before represents the data value before 5s. The 5s change rate is the ratio of the amount of change in exercise data within 5 seconds to the value of exercise data 5 seconds ago, indicating the speed of change in exercise data within 5 seconds.

In some embodiments, the third priority factor may be determined according to the 5s rate of change of the first motion data. Exemplarily, the first movement data may be a distance L, L _now represents the current total movement distance, L _before represents the total movement distance before 5s, and the 5s change rate of the distance L is:

The third priority coefficient is an adjustment coefficient for adjusting the first priority coefficient. Specifically, the value of the 5s change rate is compared with the set fourth threshold. If the 5s change rate > the fourth threshold, the third priority coefficient is set to c ₁ ; if the 5s change rate ≤ the fourth threshold, the third priority The coefficient is set to c ₂ . Both c ₁ , c ₂ are real numbers greater than 1 and less than 10, and c ₁ >c ₂ .

In combination with the above content, the adjustment coefficient may include the second priority coefficient and/or the third priority coefficient, and the first priority value of the first motion data may be determined according to the first priority coefficient and the adjustment coefficient. Thereby, the first processing priority of the first motion data is determined.

Therefore, the process of determining the adjustment coefficient and the first priority value may include the following three ways.

(1) In the first manner, the adjustment coefficient includes a second priority coefficient, which is determined according to the first motion type related to the first motion data. Correspondingly, the first priority value is determined according to the first priority coefficient and the second priority coefficient. Exemplarily, the first motion data belongs to motion real-time data, the first priority coefficient is a ₁ , and the second priority coefficient is b ₁ , b ₂ or b ₃ . The first priority value K may be the product of the first priority coefficient and the second priority coefficient, ie: K=a ₁ *by , and _y is 1, 2 or 3.

(2) In the second manner, the adjustment coefficient includes a third priority coefficient, which is determined according to the rate of change of the first motion data within the target period. Correspondingly, the first priority value is determined according to the first priority coefficient and the third priority coefficient. Exemplarily, the first motion data belongs to motion real-time data, the first priority coefficient is a ₁ , and the third priority coefficient is c ₁ or c ₂ . The first priority value K may be the product of the first priority coefficient and the third priority coefficient, ie: K=a ₁ *c _z , where z is 1 or 2.

(3) In a third manner, the adjustment coefficient includes a second priority coefficient and a third priority coefficient, and is determined according to the motion type related to the first motion data and the rate of change of the first motion data within the target period. Correspondingly, the first priority value is determined according to the first priority coefficient, the second priority coefficient and the third priority coefficient. Exemplarily, the first motion data belongs to motion real-time data, the first priority coefficient is a ₁ , the second priority coefficient is b ₁ , b ₂ or b ₃ , and the third priority coefficient is c ₁ or c ₂ . The first priority value K may be the product of the first priority coefficient, the second priority coefficient and the third priority coefficient, namely: K=a ₁ *by *c _z , _y is 1, 2 or 3, and z is 1 or 2.

Optionally, in other embodiments, not limited to the three priority coefficients mentioned in the embodiments of the present application, more priority coefficients may be obtained according to the first motion data, and one of these priority coefficients may be used. The item or items may determine the first priority value. The first priority value may be the product of one or more priority coefficients, or may be the result of weighted product, addition, or other operations, which is not limited in this application.

S226. Determine the first processing priority of the first motion data.

According to the above steps, the first processing priority of the first motion data can be determined.

Specifically, if the data type of the first motion data is a motion control data type, the first processing priority is determined to be the highest priority among the M priorities.

If the data type of the first motion data is not the motion control data type, the first processing priority may be determined according to the first priority value of the first motion data. The first priority value may be determined according to the first priority coefficient and/or adjustment coefficient of the first motion data.

For the specific process of determining the first priority value, reference may be made to the above steps S223-S225.

In some embodiments, the process of determining its first processing priority according to the first priority value specifically includes: determining a first priority value range in which the first priority value is located, where the first priority value range is M One of the priority value ranges, each priority value range in the M priority value ranges corresponds to one priority in the M priority value ranges; the priority corresponding to the first priority value range is determined as the first priority value range. A first processing priority for motion data.

Exemplarily, M may be 3, then there are correspondingly 3 priority ranges, and the specific process of determining the first processing priority of the first motion data includes:

If 0<K<A1, the first processing priority of the first motion data is the lowest priority among the three priorities;

If A1≤K<A2, the first processing priority of the first motion data is the middle priority among the three priorities;

If K≥A2, the first processing priority of the first motion data is the highest priority among the three priorities;

Among them, A1<A2. According to the above manner, the first processing priority of the first motion data can be determined relatively clearly.

S230. Obtain a first weight ratio corresponding to the first processing priority.

After the first processing priority of the first motion data is determined, the corresponding first weight ratio can be obtained according to the first processing priority. The value of the first weight ratio may be preset, which is not limited in this application.

In some embodiments, the magnitude of the first weight ratio of the first motion data corresponds to the order of the first processing priorities. The higher the first processing priority of the first motion data, the higher the corresponding weight ratio. Specifically, if the first processing priority of the first motion data is the highest priority among the M priorities, the first weight ratio is the largest weight ratio among the M weight ratios; if the first processing priority of the first motion data level is the lowest priority among the M priorities, and the first weight ratio is the smallest weight ratio among the M weight ratios.

Exemplarily, the total number of priorities M may be 3, then there are correspondingly 3 weight ratios, and the preset weight ratios may be 0.6, 0.3, and 0.1, respectively. Specifically, if the first processing priority of the first motion data is a high priority, the corresponding first weight ratio may be 0.6; if the first processing priority of the first motion data is a medium priority, the corresponding first weight ratio may be 0.6. A weight ratio may be 0.3; if the first processing priority of the first motion data is a low priority, the corresponding first weight ratio may be 0.1.

S240. Allocate a first resource for processing the first motion data according to the first weight ratio.

The allocated first resource may be one of a variety of different types of resources, for example, it may be a transmission resource when the smart device transmits data to the terminal device as shown in FIG. 1 , or, for example, may be the internal Resources for processing data, such as processor resources, storage resources, and so on.

In some embodiments, the first resource is a transmission resource when the smart device transmits data to the terminal device. In this case, by using the data processing method provided by the embodiment of the present application, the transmission resources can be allocated according to the first weight ratio corresponding to the first processing priority of the first motion data. Specifically, the higher the first processing priority of the first motion data is, the more transmission resources are obtained; the lower the first processing priority of the first motion data is, the fewer transmission resources are obtained. In this way, high-priority data can obtain more transmission resources, which ensures the real-time transmission of high-priority motion data. Exemplarily, the total number M of priorities may be 3, then there are corresponding 3 weight ratios, and the preset weight ratios are 0.6, 0.3, and 0.1, respectively. If the first processing priority of the first motion data is a high priority, the first resource accounts for 60% of the total available transmission resources; if the first processing priority of the first motion data is a medium priority, the first resource accounts for 60% of the available transmission resources. 30% of the total amount of transmission resources; if the first processing priority of the first motion data is a low priority, the first resource accounts for 10% of the total amount of available transmission resources.

In other embodiments, the first resource is a processing resource inside the terminal device. In this case, using the data processing method provided by the embodiment of the present application, processing resources can be allocated according to the first weight ratio corresponding to the first processing priority of the first motion data. Specifically, the higher the first processing priority of the first motion data is, the more processing resources are obtained; the lower the first processing priority of the first motion data is, the less processing resources are obtained. Then the high-priority motion data can get more processing resources, which ensures the real-time processing of the high-priority motion data.

Exemplarily, the terminal device allocates processing resources for the motion data according to the priority, then, on the user interface of the terminal device, the processing result of the motion data with a higher priority can be displayed preferentially, while the processing result of the motion data with a lower priority can be displayed preferentially. The results are displayed later. For example, in an outdoor running scenario, the user wears a smart bracelet to measure data, and transmits the data of heart rate and calorie consumption to the mobile client. Because the priority of heart rate is higher than that of calorie consumption, the mobile client gives priority to displaying and drawing. A good heart rate curve, while the results of calorie expenditure are displayed after the heart rate curve.

According to the above steps, the first resource is preliminarily allocated to the first motion data. In this way, available processing resources can be preliminarily allocated for motion data to be processed.

In some embodiments, the priority of the motion data is determined, and after the resources are initially allocated according to the weight ratio corresponding to the priority, if the actual data amount of the motion data of different priorities does not match the allocated resource amount, specifically, a part of the priority The resources of the motion data of the other part of the priority are insufficient, and the remaining resources can be allocated to the motion data with insufficient resources again.

There are different ways of redistributing the remaining resources. Two possible assignments are described below:

(1) The first possible allocation method is to allocate the remaining resources according to the weight ratio corresponding to the priority.

For motion data with insufficient resources, the remaining resources can be allocated according to the weight ratio corresponding to the priority of the motion data. Specifically, motion data with a higher priority is allocated more remaining resources, and motion data with a lower priority is allocated less. remaining resources. If there are remaining resources after the allocation, and the resources of some motion data are still insufficient, you can continue to allocate according to the weight ratio until there are no remaining resources, or although there are remaining resources, all the resource requirements of the motion data have been met.

(2) In the second possible allocation method, the remaining resources are allocated according to the order of priority.

For the motion data with insufficient resources, the remaining resources can be allocated in the order of the priority of the motion data with insufficient resources. Specifically, the motion data with the highest priority in the motion data with insufficient resources is allocated the remaining resources first. If this priority is satisfied There are remaining resources after the resource requirements of the first level, and then allocated to the motion data of lower priority, and so on, until there are no remaining resources, or although there are remaining resources, the resource requirements of all motion data have been satisfied.

A specific example can be used below to illustrate the process of allocating resources. In a certain period of time, the user generates 12kb of motion data, of which the total amount of high-priority data is 4kb, the total amount of medium-priority data is 4kb, the total amount of low-priority data is 4kb, and the total amount of current transmission resources is 10kb. The weight ratios corresponding to medium and low priorities are 0.6, 0.3, and 0.1. Then, according to the data processing method provided by the embodiment of the present application, the resource allocation and data transmission of each priority data set are as follows:

(1) For high-priority data, according to the 60% ratio, high-priority data has 6kb of resources, but high-priority data has only 4kb of data, so all 4kb of high-priority data is transmitted, And there are 2kb remaining resources;

(2) For the medium-priority data, according to the 30% ratio, the medium-priority data has a resource volume of 3kb, but the medium-priority data has a data volume of 4kb, which is not enough, and needs 1kb of resources. However, high-priority data has remaining resources, so the method of re-allocating the remaining resources in priority order can be used, and the 2kb remaining resources of the high-priority data are allocated to the medium-priority data, and the last 4kb of the medium-priority data are all transmitted. There is still 1kb of remaining resources;

(3) For low-priority data, according to the 10% ratio, the low-priority data has a resource volume of 1kb, but the low-priority data has a data volume of 4kb, and the resources are not enough, and 3kb of resources are needed. The middle-priority data has remaining resources, and the 1kb remaining resources of the middle-priority data are allocated to the low-priority data. At this time, there are no remaining resources, and the resource allocation ends. Finally, 2kb of low-priority data is transmitted.

In some embodiments, a round-robin scheduling method may be used when allocating resources to motion data, that is, resources are allocated for each priority of motion data, and resources are allocated according to the weight ratio corresponding to the priority of the motion data, so that both It can ensure that data of different priorities can be processed correspondingly within a certain period of time, and it can also make high-priority data get more resources than low-priority data, thus ensuring that all motion data with processing priorities are processed. On the premise of being processed, the real-time processing of motion data with high processing priority is guaranteed.

As can be seen from the above, in the solution of this embodiment, the first motion data to be processed is obtained, and the first processing priority of the first motion data is determined; the first weight ratio corresponding to the first processing priority is obtained; according to The above-mentioned first weight ratio is allocated to the first resource for processing the first motion data. By prioritizing motion data, resources are allocated according to the corresponding weight ratios after prioritization. When the total amount of resources available for allocation is insufficient, more resources can be allocated to motion data with higher priorities to ensure that Higher priority motion data is processed as soon as possible, thereby improving data processing efficiency.

Two specific sports scenarios are described below. In these sports scenarios, the smart device obtains sports data through measurement by its own sensor, and then transmits it to the terminal device, and the terminal device processes the sports data after receiving. Both the smart device and the terminal device can use the data processing method provided by the embodiments of the present application.

Sports scene 1: As shown in Figure 3A, the user is running outdoors, wearing a watch/bracelet on his hand to measure heart rate, speed and other exercise data, and wearing a running posture accessory on his shoe to measure running posture data. The running posture data can specifically include steps. Frequency, stride, touchdown time, landing method, landing impact, valgus amplitude, swing angle and other motion data, and use the app on the mobile phone to display the analysis results of the motion data. Data is transferred to the mobile phone. In this scenario, smart devices include watches/bands, running accessories, and terminal devices include mobile phones.

Exercise scene 2: As shown in Figure 3B, the user can run on an indoor treadmill, wear a watch/band on his hand to measure heart rate, speed and other exercise data, and wear a running posture accessory on his shoe to measure running posture data. The treadmill can Measure running posture and other sports data, and use the app on the mobile phone to display the processing results of sports data. Watches/bands, running posture accessories, and treadmills transmit sports data to mobile phones through Bluetooth. In this scenario, smart devices include watches/bands, running accessories and treadmills, and terminal devices include mobile phones.

Optionally, the smart device can process and display the motion data obtained by its own measurement, or the terminal device can measure the motion data through its own sensor and display the result after processing, or the terminal device can receive the motion data transmitted by the smart device. And process it, and then send the processing result back and display it on the smart device. The data processing methods provided in the embodiments of the present application can be used without limitation to the scenarios in which the smart devices and terminal devices transmit or process data, which is not limited in the present application.

In the motion scene shown in FIG. 3B , the process of not using the data processing method provided by the embodiment of the present application and the process of using the data processing method provided by the embodiment of the present application are respectively described below. Exemplarily, the smart device is a watch, and the terminal device is a mobile phone.

When neither the smart device nor the terminal device utilizes the data processing method provided by the embodiment of the present application, that is, data is transmitted and processed according to the existing method, if the amount of data is too large or the network state is unstable, data congestion may occur, produce a large delay.

Specifically, as shown in Figure 4, on the one hand, after the watch acquires various types of motion data (including motion control data, motion real-time data, notification data, etc.) Queue waiting for transmission. If important motion data (such as motion control data) is at the back of the queue, it may take a long time for the motion data to be transmitted; on the other hand, after the mobile phone receives the motion data, the data enters the same queue and waits for the mobile phone in turn deal with. If important data is at the bottom of the queue, it may take a long time for the motion data to be processed by the phone. To sum up, a large delay may occur during transmission and processing, which affects the real-time and accuracy of data.

However, by using the data processing method provided by the embodiments of the present application, the problem of untimely processing of high-priority real-time motion data is solved, and the real-time processing of high-priority motion data is ensured.

Specifically, as shown in FIG. 5 , on the one hand, the watch sets the priority for the acquired sports data. The method of setting the priority can refer to the content of steps S221 to S226, and then allocate the transmission resources according to the weight ratio corresponding to the priority, The motion data is transmitted to the mobile APP through Bluetooth, so that the high-priority motion data can get more transmission resources and ensure that the high-priority data can be transmitted as soon as possible. On the other hand, after the mobile phone receives the motion data, internal processing resources can be allocated according to the priority and weight ratio that have been determined before transmission, so that the high-priority motion data can get more processing resources and ensure that the high-priority data can be processed as soon as possible. Processing is complete.

A specific example can be used below to introduce the process of receiving and processing motion data by a mobile phone. Exemplarily, as shown in Figure 6, the motion data transmitted to the mobile phone enters different queues to wait for processing according to the priority that has been set before transmission, while the mobile phone adopts the round-robin scheduling method, and the weight ratio corresponding to the priority is: The motion data of the different queues allocate processing resources. The processing priority of the data in queue 1 is high priority, the weight ratio is 0.6, and 60% of the processing resources can be obtained; the processing priority of the data in queue 2 is medium priority, the weight ratio is 0.3, and 30% can be obtained , the processing priority of the data in queue 3 is low priority, the weight ratio is 0.1, and 10% of the processing resources can be obtained. As can be seen from Figure 6, in fact, the actual data amount of the motion data of the medium priority and the low priority is greater than the allocated resource amount, while the actual data amount of the high priority motion data is exactly equal to the allocated resource amount, and there are no remaining resources. Therefore, the processing can be completed in this process; while the motion data of medium and low priority are not processed. However, in this process, all priority data are given certain processing resources, so it can be ensured that motion data of different priorities can be processed within a certain period of time. After processing, the mobile APP can display the processing results of exercise data, including but not limited to one or more of the following: measurement/statistical results of exercise data, user exercise status, related charts, personalized analysis or exercise suggestions, etc. The processing results of high-priority motion data can be displayed on the mobile APP first.

Referring to FIG. 7 , an electronic device 700 provided by an embodiment of the present application may include:

The acquiring unit 701 is configured to acquire the first motion data to be processed.

A dividing unit 702, configured to determine a first processing priority of the first motion data.

The determining unit 703 is configured to acquire a first weight ratio corresponding to the first processing priority.

The allocation processing unit 704 is configured to allocate a first resource for processing the first motion data according to the first weight.

The electronic device also includes:

The opening unit 705 is used to turn on the function switch when the current data volume of the motion data to be transmitted is greater than the first threshold, and the motion data to be transmitted includes the first motion data; or, when the stability of the current network state is less than the second threshold The electronic device uses the data processing method provided by the embodiment of the present application, and the electronic device does not use the data processing method provided by the embodiment of the present application before the function switch is turned on.

Optionally, in some possible implementation manners of the present application, the first motion data to be processed is the first motion data to be transmitted, and the allocation processing unit 704 may be configured to allocate a first resource for transmitting the first motion data.

Optionally, in some possible implementation manners of the present application, the dividing unit 702 is configured to: determine a first data type to which the first motion data belongs, and the first data type is used to represent an attribute of the first motion data;

A first processing priority of the first motion data is determined according to the first data type.

The first data type includes one of a motion control data type, a real-time motion data type, a pan-motion data type, or a notification data type.

Wherein, determining the first processing priority of the first motion data according to the first data type includes:

If the first data type is a motion control data type, the first processing priority of the first motion data is determined to be the highest priority among M priorities, where M is an integer greater than or equal to 1.

If the first data type is not the motion control data type, obtain the first priority value corresponding to the first motion data;

Determine the first priority value range where the first priority value is located, the first priority value range is one of M priority value ranges, and each priority value range in the M priority value ranges corresponds to M priority value ranges one of the priority levels;

The priority corresponding to the first priority value range is determined as the first processing priority of the first motion data.

Wherein, obtaining the first priority value corresponding to the first motion data includes:

Obtain the first priority coefficient corresponding to the first data type, and the first priority coefficient is used to represent the real-time processing priority of the data belonging to the first data type;

A first priority value corresponding to the first motion data is determined according to the first priority coefficient.

Wherein, according to the first priority coefficient, the first priority value corresponding to the first motion data is determined, including:

If the first priority coefficient is less than or equal to the third threshold, determining the first priority coefficient as the first priority value corresponding to the first motion data;

If the first priority coefficient is greater than the third threshold, obtain an adjustment coefficient for adjusting the size of the first priority coefficient, where the adjustment coefficient includes the second priority coefficient and/or the third priority coefficient, wherein the second priority coefficient is determined according to the first motion type related to the first motion data, the third priority coefficient is determined according to the rate of change of the first motion data within the target period, and both the second priority coefficient and the third priority coefficient are greater than 1;

A first priority value corresponding to the first motion data is determined according to the first priority coefficient and the adjustment coefficient.

Optionally, in some possible implementations of the present application, the dividing unit 702 is further configured to: determine that the adjustment coefficient includes a second priority coefficient, and the method for determining the second priority coefficient includes:

obtaining a first movement type related to the first movement data;

According to the first motion type and the first motion data, a second priority coefficient is determined, and the second priority coefficient is used to indicate the priority level of the first motion data being processed in real time in the motion indicated by the first motion type.

Optionally, in some possible implementations of the present application, the dividing unit 702 is further configured to: determine that the adjustment coefficient includes a third priority coefficient, and the method for determining the third priority coefficient includes:

obtaining the rate of change of the first motion data within the target period;

Based on the rate of change, a third priority factor is determined.

It can be understood that the functions of each functional module of the electronic device 700 in this embodiment can be specifically implemented according to the methods in the above method embodiments, and the specific implementation process can refer to the relevant descriptions of the above method embodiments, which will not be repeated here.

As can be seen from the above, in the solution of this embodiment, the electronic device 700 acquires the first motion data to be processed; determines the first processing priority of the first motion data; acquires the first weight ratio corresponding to the first processing priority; The first weight is allocated to the first resource for processing the first motion data. Due to the priority division of motion data, resources are allocated according to the weight ratio corresponding to the divided priority, so that motion data with higher priority can get more resources, which is beneficial to ensure the real-time processing of motion data with high processing priority. sex.

FIG. 8 shows a schematic structural diagram of an electronic device 800 .

The electronic device 800 may include a processor 810, an external memory interface 820, an internal memory 821, a universal serial bus (USB) interface 830, a charge management module 840, a power management module 841, a battery 842, an antenna 1, an antenna 2 , mobile communication module 850, wireless communication module 860, audio module 870, speaker 870A, receiver 870B, microphone 870C, headphone jack 870D, sensor module 880, buttons 890, motor 891, indicator 892, camera 893, display screen 894, and Subscriber identification module (subscriber identification module, SIM) card interface 895 and so on. The sensor module 880 may include a pressure sensor 880A, a gyroscope sensor 880B, an air pressure sensor 880C, a magnetic sensor 880D, an acceleration sensor 880E, a distance sensor 880F, a proximity light sensor 880G, a fingerprint sensor 880H, a temperature sensor 880J, a touch sensor 880K, and ambient light. Sensor 880L, Bone Conduction Sensor 880M, etc.

It can be understood that the structures illustrated in the embodiments of the present application do not constitute a specific limitation on the electronic device 800 . In other embodiments of the present application, the electronic device 800 may include more or less components than shown, or combine some components, or separate some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The processor 810 may include one or more processing units, for example, the processor 810 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (neural-network processing unit, NPU), etc. Wherein, different processing units may be independent devices, or may be integrated in one or more processors.

The controller can generate an operation control signal according to the instruction operation code and timing signal, and complete the control of fetching and executing instructions.

A memory may also be provided in the processor 810 for storing instructions and data. In some embodiments, the memory in processor 810 is cache memory. This memory may hold instructions or data that have just been used or recycled by the processor 810 . If the processor 810 needs to use the instruction or data again, it can be called directly from the memory. Repeated accesses are avoided, and the waiting time of the processor 810 is reduced, thereby increasing the efficiency of the system.

In some embodiments, processor 810 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transceiver (universal asynchronous transmitter) receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and / or universal serial bus (universal serial bus, USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus that includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 810 may contain multiple sets of I2C buses. The processor 810 can be respectively coupled to the touch sensor 880K, the charger, the flash, the camera 893, etc. through different I2C bus interfaces. For example, the processor 810 can couple the touch sensor 880K through the I2C interface, so that the processor 810 communicates with the touch sensor 880K through the I2C bus interface, so as to realize the touch function of the electronic device 800 .

The I2S interface can be used for audio communication. In some embodiments, processor 810 may contain multiple sets of I2S buses. The processor 810 may be coupled with the audio module 870 through an I2S bus to implement communication between the processor 810 and the audio module 870 . In some embodiments, the audio module 870 can transmit audio signals to the wireless communication module 860 through the I2S interface, so as to realize the function of answering calls through the Bluetooth headset.

The PCM interface can also be used for audio communications, sampling, quantizing and encoding analog signals. In some embodiments, the audio module 870 and the wireless communication module 860 may be coupled through a PCM bus interface. In some embodiments, the audio module 870 can also transmit audio signals to the wireless communication module 860 through the PCM interface, so as to realize the function of answering calls through the Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communication. The bus may be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is typically used to connect the processor 810 with the wireless communication module 860 . For example, the processor 810 communicates with the Bluetooth module in the wireless communication module 860 through the UART interface to implement the Bluetooth function. In some embodiments, the audio module 870 can transmit audio signals to the wireless communication module 860 through the UART interface, so as to realize the function of playing music through the Bluetooth headset.

The MIPI interface can be used to connect the processor 810 with the display screen 894, the camera 893 and other peripheral devices. MIPI interfaces include camera serial interface (CSI), display serial interface (DSI), etc. In some embodiments, the processor 810 communicates with the camera 893 through a CSI interface to implement the photographing function of the electronic device 800 . The processor 810 communicates with the display screen 894 through the DSI interface to implement the display function of the electronic device 800 .

The GPIO interface can be configured by software. The GPIO interface can be configured as a control signal or as a data signal. In some embodiments, the GPIO interface may be used to connect the processor 810 with the camera 893, the display screen 894, the wireless communication module 860, the audio module 870, the sensor module 880, and the like. The GPIO interface can also be configured as I2C interface, I2S interface, UART interface, MIPI interface, etc.

The USB interface 830 is an interface that conforms to the USB standard specification, and can specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, and the like. The USB interface 830 can be used to connect a charger to charge the electronic device 800, and can also be used to transmit data between the electronic device 800 and peripheral devices. It can also be used to connect headphones to play audio through the headphones. The interface can also be used to connect other electronic devices, such as AR devices.

It can be understood that the interface connection relationship between the modules illustrated in the embodiments of the present application is only a schematic illustration, and does not constitute a structural limitation of the electronic device 800 . In other embodiments of the present application, the electronic device 800 may also adopt different interface connection manners in the foregoing embodiments, or a combination of multiple interface connection manners.

The charging management module 840 is used to receive charging input from the charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 840 may receive charging input from the wired charger through the USB interface 830 . In some wireless charging embodiments, the charging management module 840 may receive wireless charging input through the wireless charging coil of the electronic device 800 . While the charging management module 840 charges the battery 842, the power management module 841 can also supply power to the electronic device.

The power management module 841 is used to connect the battery 842 , the charging management module 840 and the processor 810 . The power management module 841 receives input from the battery 842 and/or the charging management module 840, and supplies power to the processor 810, the internal memory 821, the display screen 894, the camera 893, and the wireless communication module 860. The power management module 841 can also be used to monitor parameters such as battery capacity, battery cycle times, battery health status (leakage, impedance). In some other embodiments, the power management module 841 may also be provided in the processor 810 . In other embodiments, the power management module 841 and the charging management module 840 may also be provided in the same device.

The wireless communication function of the electronic device 800 may be implemented by the antenna 1, the antenna 2, the mobile communication module 850, the wireless communication module 860, the modulation and demodulation processor, the baseband processor, and the like.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 800 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, the antenna 1 can be multiplexed as a diversity antenna of the wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 850 may provide a wireless communication solution including 2G/3G/4G/5G, etc. applied on the electronic device 800 . The mobile communication module 850 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), and the like. The mobile communication module 850 can receive electromagnetic waves from the antenna 1, filter and amplify the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. The mobile communication module 850 can also amplify the signal modulated by the modulation and demodulation processor, and then convert it into electromagnetic waves and radiate it out through the antenna 1 . In some embodiments, at least part of the functional modules of the mobile communication module 850 may be provided in the processor 810 . In some embodiments, at least part of the functional modules of the mobile communication module 850 may be provided in the same device as at least part of the modules of the processor 810 .

The modem processor may include a modulator and a demodulator. Wherein, the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low frequency baseband signal. Then the demodulator transmits the demodulated low-frequency baseband signal to the baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and passed to the application processor. The application processor outputs sound signals through audio devices (not limited to speaker 870A, receiver 870B, etc.), or displays images or videos through display screen 894 . In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be independent of the processor 810, and may be provided in the same device as the mobile communication module 850 or other functional modules.

The wireless communication module 860 can provide applications on the electronic device 800 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation satellites Wireless communication solutions such as global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared technology (IR). The wireless communication module 860 may be one or more devices integrating at least one communication processing module. The wireless communication module 860 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 810 . The wireless communication module 860 can also receive the signal to be sent from the processor 810 , perform frequency modulation on the signal, amplify the signal, and then convert it into an electromagnetic wave for radiation through the antenna 2 .

In some embodiments, the antenna 1 of the electronic device 800 is coupled with the mobile communication module 850, and the antenna 2 is coupled with the wireless communication module 860, so that the electronic device 800 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code Division Multiple Access (WCDMA), Time Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc. The GNSS may include a global positioning system (global positioning system, GPS), a global navigation satellite system (GLONASS), a Beidou navigation satellite system (BDS), a quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite based augmentation systems (SBAS).

The electronic device 800 implements a display function through a GPU, a display screen 894, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 894 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 810 may include one or more GPUs that execute program instructions to generate or alter display information.

Display screen 894 is used to display images, videos, and the like. Display screen 894 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (active-matrix organic light). emitting diode, AMOLED), flexible light-emitting diode (flex light-emitting diode, FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (quantum dot light emitting diodes, QLED) and so on. In some embodiments, the electronic device 800 may include 1 or N display screens 894 , where N is a positive integer greater than 1.

The electronic device 800 may implement a shooting function through an ISP, a camera 893, a video codec, a GPU, a display screen 894, an application processor, and the like.

The ISP is used to process the data fed back by the camera 893. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera photosensitive element through the lens, the light signal is converted into an electrical signal, and the camera photosensitive element transmits the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin tone. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be located in the camera 893.

The camera 893 is used to capture still images or video. The object is projected through the lens to generate an optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then transmits the electrical signal to the ISP to convert it into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. DSP converts digital image signals into standard RGB, YUV and other formats of image signals. In some embodiments, the electronic device 800 may include 1 or N cameras 893 , where N is a positive integer greater than 1.

A digital signal processor is used to process digital signals, in addition to processing digital image signals, it can also process other digital signals. For example, when the electronic device 800 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy, and the like.

Video codecs are used to compress or decompress digital video. Electronic device 800 may support one or more video codecs. In this way, the electronic device 800 can play or record videos in various encoding formats, such as: moving picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, and so on.

The NPU is a neural-network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transfer mode between neurons in the human brain, it can quickly process the input information, and can continuously learn by itself. Applications such as intelligent cognition of the electronic device 800 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, and the like.

The external memory interface 820 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 800 . The external memory card communicates with the processor 810 through the external memory interface 820 to realize the data storage function. For example to save files like music, video etc in external memory card.

Internal memory 821 may be used to store computer executable program code, which includes instructions. The internal memory 821 may include a storage program area and a storage data area. The storage program area can store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), and the like. The storage data area may store data (such as audio data, phone book, etc.) created during the use of the electronic device 800 and the like. In addition, the internal memory 821 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like. The processor 810 executes various functional applications and data processing of the electronic device 800 by executing the instructions stored in the internal memory 821 and/or the instructions stored in the memory provided in the processor.

The electronic device 800 may implement audio functions through an audio module 870, a speaker 870A, a receiver 870B, a microphone 870C, an earphone interface 870D, and an application processor. Such as music playback, recording, etc.

The audio module 870 is used for converting digital audio information into analog audio signal output, and also for converting analog audio input into digital audio signal. Audio module 870 may also be used to encode and decode audio signals. In some embodiments, the audio module 870 may be provided in the processor 810 , or some functional modules of the audio module 870 may be provided in the processor 810 .

Speaker 870A, also referred to as "horn", is used to convert audio electrical signals into sound signals. Electronic device 800 can listen to music through speaker 870A, or listen to hands-free calls.

The receiver 870B, also referred to as "earpiece", is used to convert audio electrical signals into sound signals. When the electronic device 800 answers a call or a voice message, the voice can be answered by placing the receiver 870B close to the human ear.

Microphone 870C, also known as "microphone", "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can make a sound by approaching the microphone 870C through the human mouth, and input the sound signal into the microphone 870C. The electronic device 800 may be provided with at least one microphone 870C. In other embodiments, the electronic device 800 may be provided with two microphones 870C, which may implement a noise reduction function in addition to collecting sound signals. In other embodiments, the electronic device 800 may further be provided with three, four or more microphones 870C to collect sound signals, reduce noise, identify sound sources, and implement directional recording functions.

The headphone jack 870D is used to connect wired headphones. The earphone interface 870D can be a USB interface 830, or can be a 3.5mm open mobile terminal platform (OMTP) standard interface, a cellular telecommunications industry association of the USA (CTIA) standard interface.

The pressure sensor 880A is used to sense pressure signals, and can convert the pressure signals into electrical signals. In some embodiments, pressure sensor 880A may be provided on display screen 894 . There are many types of pressure sensor 880A, such as resistive pressure sensor, inductive pressure sensor, capacitive pressure sensor and so on. The capacitive pressure sensor may be comprised of at least two parallel plates of conductive material. When a force is applied to pressure sensor 880A, the capacitance between the electrodes changes. The electronic device 800 determines the intensity of the pressure according to the change in capacitance. When a touch operation acts on the display screen 894, the electronic device 800 detects the intensity of the touch operation according to the pressure sensor 880A. The electronic device 800 can also calculate the touched position according to the detection signal of the pressure sensor 880A. In some embodiments, touch operations acting on the same touch position but with different touch operation intensities may correspond to different operation instructions. For example, when a touch operation whose intensity is less than the first pressure threshold acts on the short message application icon, the instruction for viewing the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold acts on the short message application icon, the instruction to create a new short message is executed.

The gyro sensor 880B can be used to determine the motion attitude of the electronic device 800 . In some embodiments, the angular velocity of electronic device 800 about three axes (ie, x, y, and z axes) may be determined by gyro sensor 880B. The gyro sensor 880B can be used for image stabilization. Exemplarily, when the shutter is pressed, the gyroscope sensor 880B detects the shaking angle of the electronic device 800, calculates the distance to be compensated by the lens module according to the angle, and allows the lens to counteract the shaking of the electronic device 800 through reverse motion to achieve anti-shake. The gyroscope sensor 880B can also be used for navigation and somatosensory game scenarios.

Air pressure sensor 880C is used to measure air pressure. In some embodiments, the electronic device 800 calculates the altitude from the air pressure value measured by the air pressure sensor 880C to assist in positioning and navigation.

Magnetic sensor 880D includes a Hall sensor. The electronic device 800 can detect the opening and closing of the flip holster using the magnetic sensor 880D. In some embodiments, when the electronic device 800 is a flip machine, the electronic device 800 can detect the opening and closing of the flip according to the magnetic sensor 880D. Further, according to the detected opening and closing state of the leather case or the opening and closing state of the flip cover, characteristics such as automatic unlocking of the flip cover are set.

The acceleration sensor 880E can detect the magnitude of the acceleration of the electronic device 800 in various directions (generally three axes). The magnitude and direction of gravity can be detected when the electronic device 800 is stationary. It can also be used to identify the posture of electronic devices, and can be used in applications such as horizontal and vertical screen switching, pedometers, etc.

Distance sensor 880F for measuring distance. The electronic device 800 can measure the distance through infrared or laser. In some embodiments, when shooting a scene, the electronic device 800 can use the distance sensor 880F to measure the distance to achieve fast focusing.

Proximity light sensor 880G may include, for example, light emitting diodes (LEDs) and light detectors, such as photodiodes. The light emitting diodes may be infrared light emitting diodes. The electronic device 800 emits infrared light to the outside through light emitting diodes. Electronic device 800 uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 800 . When insufficient reflected light is detected, the electronic device 800 may determine that there is no object near the electronic device 800 . The electronic device 800 can use the proximity light sensor 880G to detect that the user holds the electronic device 800 close to the ear to talk, so as to automatically turn off the screen to save power. Proximity light sensor 880G can also be used in holster mode, pocket mode automatically unlocks and locks the screen.

The ambient light sensor 880L is used to sense ambient light brightness. The electronic device 800 can adaptively adjust the brightness of the display screen 894 according to the perceived ambient light brightness. The ambient light sensor 880L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 880L can also cooperate with the proximity light sensor 880G to detect whether the electronic device 800 is in the pocket to prevent accidental touch.

The fingerprint sensor 880H is used to collect fingerprints. The electronic device 800 can use the collected fingerprint characteristics to realize fingerprint unlocking, accessing application locks, taking photos with fingerprints, answering incoming calls with fingerprints, and the like.

The temperature sensor 880J is used to detect the temperature. In some embodiments, the electronic device 800 utilizes the temperature detected by the temperature sensor 880J to execute a temperature handling strategy. For example, when the temperature reported by the temperature sensor 880J exceeds a threshold value, the electronic device 800 may reduce the performance of the processor located near the temperature sensor 880J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 800 heats the battery 842 to avoid abnormal shutdown of the electronic device 800 caused by the low temperature. In some other embodiments, when the temperature is lower than another threshold, the electronic device 800 boosts the output voltage of the battery 842 to avoid abnormal shutdown caused by low temperature.

Touch sensor 880K, also called "touch panel". The touch sensor 880K may be disposed on the display screen 894, and the touch sensor 880K and the display screen 894 form a touch screen, also referred to as a "touch screen". The touch sensor 880K is used to detect a touch operation on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. Visual output related to touch operations may be provided through display screen 894 . In other embodiments, the touch sensor 880K may also be disposed on the surface of the electronic device 800 at a different location than the display screen 894 .

The bone conduction sensor 880M can acquire vibration signals. In some embodiments, the bone conduction sensor 880M can acquire the vibration signal of the vibrating bone mass of the human voice. The bone conduction sensor 880M can also contact the pulse of the human body and receive the blood pressure beating signal. In some embodiments, the bone conduction sensor 880M can also be disposed in the earphone, combined with the bone conduction earphone. The audio module 870 can analyze the voice signal based on the vibration signal of the vocal vibration bone block obtained by the bone conduction sensor 880M, so as to realize the voice function. The application processor can analyze the heart rate information based on the blood pressure beat signal obtained by the bone conduction sensor 880M, and realize the function of heart rate detection.

The keys 890 include a power-on key, a volume key, and the like. Keys 890 may be mechanical keys. It can also be a touch key. The electronic device 800 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 800 .

Motor 891 can generate vibration alerts. The motor 891 can be used for vibrating alerts for incoming calls, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, playing audio, etc.) can correspond to different vibration feedback effects. The motor 891 can also correspond to different vibration feedback effects for touch operations on different areas of the display screen 894 . Different application scenarios (for example: time reminder, receiving information, alarm clock, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also support customization.

The indicator 892 may be an indicator light, which may be used to indicate the charging status, the change of power, and may also be used to indicate messages, missed calls, notifications, and the like.

The SIM card interface 895 is used to connect a SIM card. The SIM card can be connected to and separated from the electronic device 800 by inserting into the SIM card interface 895 or pulling out from the SIM card interface 895 . The electronic device 800 may support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 895 can support Nano SIM card, Micro SIM card, SIM card and so on. The same SIM card interface 895 can insert multiple cards at the same time. The types of the plurality of cards may be the same or different. The SIM card interface 895 can also be compatible with different types of SIM cards. The SIM card interface 895 is also compatible with external memory cards. The electronic device 800 interacts with the network through the SIM card to implement functions such as call and data communication. In some embodiments, the electronic device 800 employs an eSIM, ie: an embedded SIM card. The eSIM card can be embedded in the electronic device 800 and cannot be separated from the electronic device 800 .

In the electronic device 800, the processor 810 invokes the code stored in the internal memory 821 for obtaining the first motion data to be processed; determining the first processing priority of the first motion data; obtaining the code corresponding to the first processing priority The first weight ratio of ; according to the first weight, the first resource for processing the first motion data is allocated.

Optionally, in some possible implementations of the present invention, the processor 810 is further configured to: when the data amount of the motion data to be transmitted currently is greater than the first threshold, the motion data to be transmitted includes the first motion data; Alternatively, when the stability of the current network state is less than the second threshold, the program is invoked to cause the electronic device to use the data processing method provided by the embodiment of the present application.

It can be understood that, when the electronic device 800 of this embodiment adopts the data processing method of the foregoing method embodiment, the specific implementation process may refer to the relevant description of the foregoing method embodiment, which will not be repeated here.

Embodiments of the present invention further provide a computer program product, wherein when the computer program product runs on an electronic device, the electronic device executes some or all of the steps of a data processing method described in the above method embodiments.

Embodiments of the present invention further provide a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program includes part or all of the steps of a data processing method described in the above method embodiments.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components may be combined or Integration into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (14)

1. A data processing method, characterized in that the method comprises:

   acquiring the first motion data to be processed, and determining the first processing priority of the first motion data;

   obtaining a first weight ratio corresponding to the first processing priority;

   A first resource for processing the first motion data is allocated according to the first weight ratio.
2. The method of claim 1, wherein the first motion data to be processed is first motion data to be transmitted, and the first resource is a transmission resource used for transmitting the first motion data.
3. The method of claim 2, wherein before determining the first processing priority of the first motion data, the method further comprises:

   It is determined that the data amount of the current motion data to be transmitted is greater than a first threshold, and the motion data to be transmitted includes the first motion data; or,

   It is determined that the stability of the current network state is less than the second threshold.
4. The method according to any one of claims 1-3, wherein the determining the first processing priority of the first motion data comprises:

   determining a first data type to which the first motion data belongs, where the first data type is used to represent an attribute of the first motion data;

   A first processing priority of the first motion data is determined according to the first data type.
5. The method of claim 4, wherein the first data type comprises one of a motion control data type, a real-time motion data type, a pan-motion data type, or a notification data type.
6. The method of claim 5, wherein the determining the first processing priority of the first motion data according to the first data type comprises:

   If the first data type is a motion control data type, the first processing priority of the first motion data is determined to be the highest priority among M priorities, where M is an integer greater than or equal to 1.
7. The method according to any one of claims 5 or 6, wherein the determining the first processing priority of the first motion data according to the first data type comprises:

   If the first data type is not a motion control data type, obtain a first priority value corresponding to the first motion data;

   determining a first priority value range in which the first priority value is located, the first priority value range is one of M priority value ranges, and each priority in the M priority value ranges The value range corresponds to one of the M priorities;

   The priority corresponding to the first priority value range is determined as the first processing priority of the first motion data.
8. The method of claim 7, wherein the acquiring the first priority value corresponding to the first motion data comprises:

   acquiring a first priority coefficient corresponding to the first data type, where the first priority coefficient is used to indicate the priority level of data belonging to the first data type to be processed in real time;

   A first priority value corresponding to the first motion data is determined according to the first priority coefficient.
9. The method according to claim 8, wherein the determining the first priority value corresponding to the first motion data according to the first priority coefficient comprises:

   If the first priority coefficient is less than or equal to a third threshold, determining the first priority coefficient as the first priority value corresponding to the first motion data;

   If the first priority coefficient is greater than a third threshold, obtain an adjustment coefficient for adjusting the size of the first priority coefficient, where the adjustment coefficient includes a second priority coefficient and/or a third priority coefficient, wherein , the second priority coefficient is determined according to the first motion type related to the first motion data, and the third priority coefficient is determined according to the rate of change of the first motion data within the target period , the second priority coefficient and the third priority coefficient are both greater than 1;

   A first priority value corresponding to the first motion data is determined according to the first priority coefficient and the adjustment coefficient.
10. The method of claim 9, wherein the adjustment coefficient includes the second priority coefficient, the method further comprising:

    obtaining a first movement type related to the first movement data;

    The second priority coefficient is determined according to the first motion type and the first motion data, and the second priority coefficient is used to indicate that the first motion data is in motion indicated by the first motion type The priority of being processed in real time.
11. The method of claim 9, wherein the adjustment coefficient includes a third priority coefficient, the method further comprising:

    acquiring the rate of change of the first motion data within the target period;

    Based on the rate of change, the third priority factor is determined.
12. An electronic device, wherein the electronic device comprises: one or more processors, one or more memories;

    The one or more memories are coupled to the one or more processors, the one or more memories for storing computer program code, the computer program code comprising computer instructions, characterized in that when the one or more When a plurality of processors execute the computer instructions, the electronic device executes the method of any one of claims 1-11.
13. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, when the processor executes the computer program, the computer device realizes A method as claimed in any one of claims 1 to 11.
14. A computer program product comprising instructions, wherein, when the computer program product is run on an electronic device, the electronic device is caused to perform the method of any one of claims 1-11.

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