WO2023231861A1

WO2023231861A1 - Data preloading method and device, terminal, and storage medium

Info

Publication number: WO2023231861A1
Application number: PCT/CN2023/096001
Authority: WO
Inventors: 曹杭挺
Original assignee: 维沃移动通信有限公司
Priority date: 2022-06-02
Filing date: 2023-05-24
Publication date: 2023-12-07
Also published as: CN115017433A

Abstract

The present application discloses a data preloading method and device, a terminal, and a storage medium. The method comprises: obtaining first weak network area information, wherein the first weak network area information comprises location information and time information of at least one weak network area, the first weak network area information is based on a time scene, a time period, and an operator; calculating a lag index, and combining the lag index with an area where a terminal is located; according to the first weak network area information, determining a target weak network area present between a first area and a second area, wherein the first area is an area where the terminal is currently located, and the second area is a predicted target area; and preloading data corresponding to the target weak network area within a target time before entering the target weak network area.

Description

Data preloading method, device, terminal and storage medium

Cross-references to related applications

This application claims priority to Chinese Patent Application No. 202210625622.8 filed in China on June 2, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of communication technology, and specifically relates to a data preloading method, device, terminal and storage medium.

Background technique

With the continuous development of terminals, streaming media applications are used by more and more users, bringing great convenience to people's lives. In order to provide users with a smoother experience, most streaming media applications use caching technology. , preloading part of the content to prevent lagging.

However, existing caching technology usually adopts a fixed strategy. For example, during the process of watching a video, the terminal keeps preloading two minutes of video resources. In this way, the existing technology preloads streaming media applications. The method is relatively simple.

Contents of the invention

The purpose of the embodiments of the present application is to provide a data preloading method, device, terminal and storage medium, which can solve the problem in the prior art that the preloading method for streaming media applications is relatively single.

In order to solve the above technical problems, this application is implemented as follows:

In a first aspect, embodiments of the present application provide a data preloading method. The data preloading method includes: obtaining first weak network area information. The first weak network area information includes location information and time of at least one weak network area. Information, the first weak network area information is based on the time scenario, time period, and operator, the stuck indicator is calculated, and the stuck indicator is obtained by combining the stuck indicator with the area where the terminal is located; based on the first weak network area information, the first area is determined The target weak network area exists between Data corresponding to the target weak network area.

In the second aspect, embodiments of the present application provide a data preloading device. The data preloading device includes: an acquisition module, a determination module and a processing module. The acquisition module is used to obtain first weak network area information. The first weak network area information includes location information and time information of at least one weak network area. The first weak network area information is based on time scenario, time period, and operator, Calculate the lag index and combine the lag index with the region where the terminal is located to obtain it. Determining module, configured to determine a target weak network area existing between the first area and the second area based on the first weak network area information. The first area is the area where the terminal is currently located, and the second area is the predicted target area. ; The processing module is used to preload the data corresponding to the target weak network area within the target time before entering the target weak network area.

In a third aspect, embodiments of the present application provide a terminal, which includes a processor and a memory, and the memory The memory stores programs or instructions executable on the processor, which when executed by the processor implement the steps of the method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first aspect. the method described.

In this embodiment of the present application, the terminal can obtain the first weak network area information, and then determine, based on the first weak network area information, that there is an area between the area where the terminal is currently located and the predicted target area (that is, the area that the predicted terminal needs to reach). The target weak network area enables the terminal to preload data before entering the target weak network area. In this solution, when loading data, the terminal can determine whether there is a weak network area between the area where the terminal is currently located and the predicted target area based on the first weak network area information, and if a weak network area exists, Preload data before entering the weak network area. That is, when the terminal determines that there will be abnormal data loading between the current area and the predicted target area, it can preload the data in advance, which improves the data processing of streaming media applications by the terminal. The diversity and flexibility of preloading avoids being unable to view information due to network problems.

Description of the drawings

Figure 1 is one of the schematic diagrams of a data preloading method provided by an embodiment of the present application;

Figure 2 is a schematic diagram of an example of scene recognition data division provided by an embodiment of the present application;

Figure 3 is a second schematic diagram of a data preloading method provided by an embodiment of the present application;

Figure 4 is a schematic structural diagram of a data preloading device provided by an embodiment of the present application;

Figure 5 is one of the schematic diagrams of the hardware structure of a terminal provided by an embodiment of the present application;

Figure 6 is a second schematic diagram of the hardware structure of a terminal provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The data preloading method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

The data preloading method in the embodiment of the present application can be applied to the scenario where the terminal loads data.

With the development of mobile networks and terminal devices, streaming media applications are being used by more and more users, and the duration of use is also increasing. In order to allow users to have a smoother experience, most streaming media applications, especially short-format For videos, caching technology will be used to preload part of the content to prevent lagging. Although mainstream streaming media applications basically have caching strategies, current strategies are often fixed or some personalized strategies are adopted based on users' personal consumption habits, which have nothing to do with the actual network environment. In other words, the current strategy basically does not consider when the network is poor and when preloading should be initiated, so that the content cached in advance can be consumed by users in time. The current caching strategy seems relatively blind from the network side.

In the embodiment of the present invention, 1. Train the weak network area based on the actual user experience data of user history, not only considering the situation of group users, but also adding the personalized data of individual users. 2. Consider the impact of time and space dimensions simultaneously to more accurately determine weak network areas. This enables end users to preload in time before lag occurs when using streaming media applications, so that the cache can be released in time when lag occurs, maintaining smooth playback and improving the user's network experience.

An embodiment of the present application provides a data preloading method. Figure 1 shows a flow chart of a data preloading method provided by an embodiment of the present application. As shown in Figure 1, the data preloading method provided by the embodiment of the present application may include the following steps 201 to 203.

Step 201: The terminal obtains the first weak network area information.

In the embodiment of this application, the above-mentioned first weak network area information includes location information and time information of at least one weak network area. The first weak network area information calculates the stuck indicator based on the time scenario, time period, and operator, and The lag indicator is obtained by combining the region where the terminal is located.

In the embodiment of this application, the terminal can obtain the first weak network area information, and then determine the first area (that is, the area where the terminal is currently located) to the second area (that is, the area that the terminal is predicted to reach) based on the first weak network area information. ) allows the terminal to preload data before entering the target weak network area.

Optionally, in this embodiment of the present application, the terminal can obtain the first weak network area information from the server; or, the terminal can obtain the first weak network area information from the weak network area information pre-stored in the terminal.

It should be noted that each of the above-mentioned at least one weak network area can be understood as: an area where the network quality/signal quality is less than or equal to a preset threshold, or the network quality/signal quality is within a preset range/level Area. For example: network quality can be divided into levels 1-10. The higher the network quality level of an area, the better the network quality of the area. When the network quality level of a certain area is less than or equal to level 5, the area is a weak network area. , when the network quality level of a certain area is greater than level 5, the area is a non-weak network area.

Optionally, in this embodiment of the present application, the location information of each weak network area in the at least one weak network area includes two location information, and each weak network area is an area from one location to another location. That is, the two location information of each weak network area is the location information of the two locations corresponding to each weak network area. For example, a weak network area is the area between location A and location B, then the location information of location A and the location information of location B are the locations of the weak network area. information.

Optionally, in this embodiment of the present application, the terminal can receive at least one historical lag data and at least one historical scene identification data sent by multiple terminals, and use the at least one historical scene identification data to record the history of each terminal when loading data. Divide the time information corresponding to the area to obtain at least one time period, and then map at least one historical lag data to the at least one time period to obtain the weak network that exists in the area through which each terminal historically loads data. area.

Optionally, in this embodiment of the present application, the time information of the at least one weak network area includes at least one time scene information and at least one time period; the time information of one weak network area in the at least one weak network area includes a time scene information. and a time period corresponding to the one time scene information. The one time scene information is used to indicate the time scene corresponding to the one weak network area.

Optionally, in the embodiment of the present application, the time scene indicated by the time scene information of the at least one weak network area includes at least one of the following: non-holiday, holiday, working day, non-working day, working day morning peak, working day evening Peak hours, morning and evening peak hours on weekdays, off-peak hours on weekdays, etc.

Optionally, in this embodiment of the present application, the time period of each weak network area in the at least one weak network area includes a start time and an end time, and the start time of the time period is the terminal's history of entering a certain weak network area. The time from the time when the terminal entered the first location in history; the end time of this time period is the time between the time when history left the weak network area and the time when the terminal entered the first location in history. The start time and end time of this time period are The difference is the duration of abnormal data loading between the two locations in each weak network area.

For example, the first weak network area information is the weak network area information in a subway scenario. A weak network area is located between subway station A and subway station B. The historical time for terminal 1 to enter subway station A is At 7:10, while the subway is traveling, the historical time when terminal 1 entered the weak network area is 7:11, then the starting time of the time period corresponding to the weak network area is the 60th second after entering subway station A. ; The historical time when terminal 1 left the weak network area is 7:12, then the end time of the time period corresponding to the weak network area is the 120th second after entering subway station A, then the time period of entering the weak network area is From the 60th second after subway station A to the 120th second after entering subway station A, the duration of the weak network area is 60 seconds.

It can be understood that the location information of a weak network area is location A-location B, the time scenario is the morning peak on weekdays, and the time period is the time when a data loading exception occurs between location A and location B corresponding to the morning peak on weekdays. part.

Optionally, in this embodiment of the present application, the above step 201 can be specifically implemented through the following step 201a.

Step 201a: The terminal obtains at least one historical lag data and at least one historical scene recognition data. Each historical lag data is used to indicate the location information and time information of a loading abnormality when a terminal historically loads data. Each historical scene recognition data Used to indicate the time information corresponding to the area that a terminal passes through when loading data in history; according to each historical scene recognition data, divide the time information corresponding to the area that each terminal passes through when loading data in history, and obtain at least one time period. ;Map at least one historical lag data to the at least one time period, at least one operator, and at least one time scene information, and calculate the lag index, which includes all lag time periods under different operators in different The lag user ratio and average lag duration of the time scenario; based on the lag user ratio and the average lag duration, the lag user ratio and the average lag duration in all lag time periods under different operators meet the preset conditions The target time period, the location information corresponding to the target time period, and the time scene corresponding to the target time period are determined as at least one weak network area information, and the at least one weak network area information is related to the area where the terminal is located and to the terminal. The weak network area information corresponding to the operator is determined as the first weak network area information.

It should be noted that the location information of a terminal where a loading exception occurs when loading historical data can be understood as: the location information of the area where a terminal is located when a loading exception occurs when historical loading data occurs. The time information of a loading exception when a terminal historically loads data can be understood as: the start time and end time when a terminal's historical loading data encounters a loading exception, that is, the start time corresponding to the area where a terminal's historical loading data occurs when a loading exception occurs. (i.e. the time of entering this area) and the end time (i.e. the time of leaving this area).

It should be noted that the area a terminal passes through when loading data in history can be understood as: a terminal enters a certain area during the process of loading data and leaves the area; the area a terminal passes through when loading data in history corresponds to Time can be understood as: the time when a terminal enters a certain area and the time when it leaves the certain area during the process of loading historical data on a terminal.

For example, a piece of historical lag data can be: Terminal 1 has a loading exception when loading data in area C between subway station A and subway station B from 7:10 to 7:11 on March 1, then the terminal The location information where abnormal loading occurs when loading historical data is subway station A-subway station B, and the time information is 7:10-7:11 on March 1; the corresponding historical scene identification data can be: Terminal 1 history During the process of loading data, the time of entering subway station A is 7:05 on March 1, and the time of leaving subway station B is 7:15 on March 1.

Optionally, in the embodiment of the present application, when the terminal divides the time information corresponding to the area that each terminal passes through when loading data according to each historical scene identification data, the time when the terminal enters a certain area in history can be divided. The time when the terminal starts passing through the area and the time when the terminal ends passing through the area and the time when it leaves the area are divided into two time periods respectively, and the time period between the time when the terminal starts passing through the area and the time when it ends passing through the area is divided into two time periods. Divide according to equal intervals (such as Q seconds, the Q value can be adjusted according to actual usage requirements).

For example, as shown in Figure 2, the scene recognition data 1 is: the time eTime_A when the terminal 1 enters the subway station A and the time lTime_B when it leaves the subway station B. The time eTime_A when the terminal 1 enters the subway station A can be divided into the time eTime_A when the terminal leaves the subway station. The time lTime_A of A (i.e., the time the terminal waits at subway station A), and the time eTime_B when the terminal arrives at subway station B to the time lTime_B (i.e., the time the terminal waits at subway station B) when the terminal leaves subway station B (i.e., the time the terminal waits at subway station B) are respectively regarded as two time period, and divide the time period between the terminal leaving subway station A and the terminal entering subway station B (i.e. lTime_A and eTime_B) at equal intervals Q seconds, and finally obtain several time periods: [eTime_A, lTime_A), [lTime_A, lTime_A+Q), [lTime_A+Q, lTime_A+2Q), ..., [lTime_A+nQ, eTime_B), [eTime_B, lTime_B).

In the embodiment of this application, operators are divided into mobile operators, China Unicom operators and telecommunications operators.

Optionally, in this embodiment of the present application, when the terminal counts the lag user ratio and average lag duration in different time scenarios for all stuck time periods under different operators, the statistical period can be a preset period (for example, one month in history). )'s lag user ratio and average lag time.

Optionally, in this embodiment of the present application, the terminal maps at least one historical lag data to at least one time period, at least one operator and at least one time scenario information. Therefore, it can obtain: under different operators: in a certain time scenario. The number of users experiencing lag in a certain time period, the total number of users who experienced a certain lag period in a certain time scenario, and the total duration of the lag period in a certain time scenario. ; The terminal can use this information to calculate the ratio of stuck users in a certain stuck time period in a certain time scenario, and the average stuck duration in a certain stuck time period in a certain time scenario, thereby obtaining The ratio of stuck users and the average stuck time in different time scenarios for all stuck time periods under different operators.

The specific calculation method is as follows:

The ratio of stuck users in a certain stuck time period in a certain time scenario = the number of users who are stuck in a certain stuck time period in a certain time scenario / the time that elapsed after a certain stuck time in a certain time scenario The total number of users in the segment;

For example: the number of users who are stuck during the stuck time period 1 during the morning peak on weekdays is 10, and the total number of users who are stuck during the stuck time period 1 during the morning peak on weekdays is 20, then the time of the jam during the morning peak on weekdays The ratio of stuck users in segment 1 is 10÷20=50%;

The average lag duration in a certain lag time period in a certain time scenario = the total lag duration in a certain lag time period in a certain time scenario/the total lag time period in a certain time scenario of total users.

For example: the total duration of the jam period during the morning peak on weekdays is 300 seconds, and the total number of users passing through the jammed period 1 during the morning peak on weekdays is 20, then the total jam time during the morning peak on weekdays is 20 seconds. The average lag time in segment 1 is 300÷20=15 seconds.

Optionally, in this embodiment of the present application, when the terminal calculates the number of users, the same user in the same time unit (for example, the same day) is only counted once, and the same user in different time units can be recorded as different users.

Optionally, in the embodiment of this application, after the terminal obtains the time periods of all jams under different operators, the user ratio of jams in different time scenarios and the average jam duration, it can divide all jams under each operator according to the region. The lag time period is ranked by the lag user ratio and the average lag duration in different time scenarios, and the ranking and the lag user ratio of all lag time periods in different time scenarios under each operator in each region are obtained. Ranking of average lag duration, and then calculating the weight of the ranking of lag user ratio and average lag duration to obtain the final ranking of all lag time periods under different time scenarios for each operator in each region;

The specific way to calculate the weight of the two is as follows:
rank＝α*rank1+(1-α)*rank2

Among them, rank1 is the ranking of the lag user ratio, rank2 is the ranking of the average lag duration, and α is the weight of rank1. You can take 0.5 as an example. In fact, the value of α can be adjusted according to the different focuses of the two.

Optionally, in the embodiment of this application, after calculating the final ranking of all stuck time periods under each operator in each region in different time scenarios, the top A% of each operator in each region are ranked (For example: 25%) of the stuck time period, the location information corresponding to the stuck time period and the time scene corresponding to the stuck time period are determined as at least one weak network area information (that is, all stuck information under different operators) The target time period in which the lag user ratio and the average lag duration in the time period meet the preset conditions, the location information corresponding to the target time period, and the time scene corresponding to the target time period are determined to be at least one weak network area information), the specific value of A The embodiments of this application are not limiting.

Optionally, in this embodiment of the present application, the terminal ranks the top A% (for example: 25%) of stuck time periods for each operator in each region, the location information corresponding to the stuck time period, and the stuck time periods. After the time scenario corresponding to the time period is determined as at least one weak network area information, the weak network area information in the at least one weak network area information that is in the area where the terminal is located and corresponds to the operator of the terminal is determined as the first weak network Regional information, for example: the area where the terminal is located is Region 1, and the network operator used by the terminal is a mobile operator, then the top A% of the mobile operator corresponding to Region 1 in at least one weak network area information (for example: 25 %) of the stuck time period, the location information corresponding to the stuck time period and the time scene corresponding to the stuck time period are determined as the first weak network area information.

Step 202: The terminal determines the target weak network area existing between the first area and the second area based on the first weak network area information.

In the embodiment of the present application, the above-mentioned first area is the area where the terminal is currently located, and the second area is the predicted target area (that is, the area that the predicted terminal needs to reach).

Optionally, in this embodiment of the present application, when the area where the terminal is currently located is the first area, the terminal can predict the next area (that is, the second area) that the terminal is about to arrive based on scene recognition and line data.

For example, when the area where the terminal is currently located (i.e., the first area) is subway station A, the terminal can predict that the next area (i.e., the second area) that the terminal is about to arrive at is subway station B based on scene recognition and subway line data. .

Optionally, in this embodiment of the present application, the time information of at least one weak network area includes at least one time scene information and at least one time period, and the time information of one weak network area includes one time scene information and the one time scene information. The corresponding time period, the time scene information is used to indicate the time scene corresponding to the weak network area. The above step 202 can be implemented specifically through the following step 202a.

Step 202a: When the time scene information corresponding to the first area matches the first time scene information in at least one time scene information, the terminal determines the third area between the first area and the second area as the target weak network. area.

In the embodiment of the present application, the above-mentioned third area is an area that the terminal needs to pass through and corresponds to the first time period, and the first time period is a time period corresponding to the first time scene information.

It can be understood that when the terminal predicts the next area (i.e., the second area) that the terminal is about to arrive, and the time scene information corresponding to the time when the terminal reaches the first area matches the first time scene information in at least one time scene information, In this case, the terminal may determine the first time period in which the data loading abnormality occurs between the first area corresponding to the first time scene information and the second area, and determine the third area corresponding to the first time period as the target weak area. network area.

It should be noted that the time scene information corresponding to the first area can be understood as: the time scene information corresponding to the time when the terminal arrives in the first area. For example, if the time when the terminal arrives in the first area is 8:30 on Monday, then the time scene indicated by the time scene information corresponding to the first area is the morning peak on weekdays.

For example, when the area where the terminal is currently located (i.e., the first area) is subway station A, the terminal can predict that the next area (i.e., the second area) that the terminal is about to arrive at is subway station B based on scene recognition and subway line data. , and when the terminal arrives at subway station A (i.e., the first area), the time is 8:30 on Monday, then the time scene indicated by the time scene information corresponding to the first area is the morning peak on weekdays. When the peak arrives at subway station A, the terminal can determine whether at least one time scene information contains a time scene that matches the morning peak on weekdays, and whether at least one time scene information contains the first time scene information that matches the morning peak on weekdays. At that time, the terminal can determine the first time period when data loading abnormality occurs between subway station A and subway station B (ie, the first area to the second area) corresponding to the first time scene information, and will match the first time period with the first time period. The corresponding area is determined as the target weak network area.

Step 203: The terminal preloads data corresponding to the target weak network area within the target time before entering the target weak network area.

Optionally, in this embodiment of the present application, the terminal can preload the data corresponding to the target weak network area at a preset time before entering the target weak network area (such as a time preset by the user or a default time of the terminal system). Preload the data corresponding to the target weak network area at any time before the target weak network area, or preload the data corresponding to the target weak network area within the target time before entering the target weak network area.

Optionally, in this embodiment of the present application, the above step 203 can be specifically implemented through the following step 203a.

Step 203a: The terminal determines the target time based on the first information, and preloads data corresponding to the target weak network area starting from the target time.

In the embodiment of this application, the above-mentioned target time is a time point before entering the target weak network area, and the first information includes at least one of the following: type information of the data to be preloaded, and the type of application program corresponding to the data to be preloaded. Information and network quality of the area where the terminal was before entering the target weak network area.

In this embodiment of the present application, the terminal can preload data corresponding to the target weak network area from a time point before entering the target weak network area (that is, from the target time) based on the first information, for example: before entering the target weak network area The data corresponding to the target weak network area starts to be preloaded in the first 20 seconds.

Optionally, in this embodiment of the present application, the type information of the data to be preloaded can be any of the following: web page/text data type information, video data type information, audio data type information, and image data type information.

Optionally, in the embodiment of the present application, each type of information corresponds to a time for starting to preload data; the terminal can determine the time corresponding to the type information as the time for the terminal to start preloading according to the type information of the data to be preloaded. The time of the data corresponding to the target weak network area (that is, the target time).

It can be understood that the above-mentioned type information of data to be preloaded is different, the network rate required when the terminal loads data is different, so the speed when the terminal loads data is different, and the time required to load data is different, so the time when the terminal starts preloading data is different. .

For example, when the type information of the data to be preloaded is video data type information, the terminal can start preloading the data corresponding to the target weak network area 60 seconds before entering the target weak network area; When the type information is text data type information, the terminal can start preloading the data corresponding to the target weak network area 20 seconds before entering the target weak network area.

Optionally, in this embodiment of the present application, the type of application corresponding to the data to be preloaded can be any of the following: video playback applications, audio playback applications, reading applications, and web page applications. etc., game applications, etc. The details can be determined according to actual usage requirements, and are not limited by the embodiments of this application.

Optionally, in this embodiment of the application, each application type corresponds to a time to start preloading data; the terminal can determine the time corresponding to the type according to the type of application corresponding to the data to be preloaded as The time when the terminal starts preloading data corresponding to the target weak network area (ie, the target time).

It can be understood that the types of applications corresponding to the above-mentioned data to be preloaded are different, so the types of data to be preloaded are different, and the network rates required when the terminal loads data are different. Therefore, the speed when the terminal loads data is different, and the speed required to load the data is different. The length of time is different, so the time when the terminal starts preloading data is different.

For example, when the application information corresponding to the data to be preloaded is information about a video playback application, the terminal can start preloading the data corresponding to the target weak network area 60 seconds before entering the target weak network area; When the application information corresponding to the data to be preloaded is information about a reading application, the terminal can start preloading the data corresponding to the target weak network area 20 seconds before entering the target weak network area.

Optionally, in the embodiment of the present application, if the network quality of the area where the terminal is located before entering the target weak network area is different, the time to start preloading the data corresponding to the target weak network area is different. The terminal can be based on the terminal entering the target weak network area. The network quality of the area in front of the network area is determined, and the time corresponding to the network quality is determined as the time when the terminal starts preloading the data corresponding to the target weak network area (ie, the target time).

It can be understood that the network quality of the area where the terminal is located before entering the target weak network area is different, and the speed when the terminal loads data is different, so the time required for the terminal to load data is different, so the terminal starts to preload the data corresponding to the target weak network area. Times are different.

For example, the network quality can be divided into levels of 1-10. The higher the network quality level of the area, the better the network quality of the area. When the network quality level of the area where the terminal is before entering the target weak network area is 6, The terminal can start preloading data corresponding to the target weak network area 60 seconds before entering the target weak network area; when the network quality level of the area where the terminal is located before entering the target weak network area is 9, the terminal can enter the target weak network area. Open 20 seconds before the zone Start preloading data corresponding to the target weak network area.

Optionally, in the embodiment of the present application, the terminal can preload the preset capacity corresponding to the target weak network area (such as the capacity preset by the user or the default capacity of the terminal system) within the target time before entering the target weak network area. data or target capacity data.

Optionally, in this embodiment of the present application, the above step 203 can be specifically implemented through the following step 203b.

Step 203b: The terminal preloads the target capacity data corresponding to the target weak network area within the target time before entering the target weak network area.

In the embodiment of this application, the above target capacity is determined by at least one of the following: the length of the time period corresponding to the target weak network area, and the type information of the data to be preloaded.

It should be noted that the length of the time period corresponding to the above target weak network area can be understood as: the duration of abnormal data loading in the target weak network area between the two locations (that is, the start time and end time of the time period) time difference).

Optionally, in the embodiment of the present application, if the length of the time period corresponding to the target weak network area is different, the corresponding capacity of the preloaded data is different; the terminal can determine the length of the time period corresponding to the target weak network area (i.e., the length of the time period corresponding to the target weak network area). duration), the capacity corresponding to the length of the time period is determined as the capacity of the terminal to preload data corresponding to the target weak network area (ie, the target capacity).

It can be understood that if the length of the time period corresponding to the target weak network area is different, the duration of the target weak network area is different. The terminal needs to load data corresponding to the duration of the target weak network area, so that the terminal preloads the same as the target weak network area. The corresponding target capacity data satisfies the terminal's use during the target weak network area.

For example, when the length of the time period corresponding to the target weak network area is 20 seconds, that is, when the duration of the target weak network area is 20 seconds, the terminal preloads 100MB of data; when the length of the time period corresponding to the target weak network area is 60 seconds seconds, that is, when the duration of the target weak network area is 60 seconds, the terminal preloads 300MB of data.

Optionally, in the embodiment of the present application, each type information corresponds to a capacity of preloaded data; the terminal can determine the capacity corresponding to the type information as the terminal preload and target according to the type information of the data to be preloaded. The capacity of data corresponding to the weak network area (that is, the target capacity).

It can be understood that if the type information of the above-mentioned data to be preloaded is different, the corresponding data size will be different. The terminal needs to load data with a capacity corresponding to the type of data, so that the data of the target capacity corresponding to the target weak network area preloaded by the terminal meets the requirements. The terminal is used during the target weak network area.

For example, when the type information of the data to be preloaded is video data type information, the terminal preloads 300 MB of data; when the type information of the data to be preloaded is text data type information, the terminal preloads 100 MB of data.

Embodiments of the present application provide a data preloading method. The terminal can obtain the first weak network area information, and then determine the area where the terminal is currently located to the predicted target area (i.e., where the predicted terminal needs to reach) based on the first weak network area information. The target weak network area that exists between the target weak network areas allows the terminal to preload data before entering the target weak network area. In this solution, when loading data, the terminal can determine whether there is a weak network area between the area where the terminal is currently located and the predicted target area based on the first weak network area information, and if a weak network area exists, Preload data before entering the weak network area. That is, when the terminal determines that there will be abnormal data loading between the current area and the predicted target area, it can preload the data in advance, which improves the data processing of streaming media applications by the terminal. The diversity and flexibility of preloading avoids being unable to view information due to network problems.

Optionally, in this embodiment of the present application, as shown in Figure 3 in conjunction with Figure 1, after the above step 203, the data preloading method provided by the embodiment of the present application may also include the following step 301.

Step 301: If data loading anomaly occurs in the third time period before or after the second time period, the terminal updates the time period corresponding to the second time period in the first weak network area information to the fourth time period.

In the embodiment of the present application, the above-mentioned second time period is the time period corresponding to the target weak network area, and the fourth time period includes the second time period and the third time period.

In the embodiment of the present application, the starting time or the ending time of the third time period overlaps with the second time period. It can be understood that the start time of the third time period is the same as the end time of the second time period, or the end time of the third time period is the same as the start time of the second time period.

In the embodiment of the present application, after the terminal preloads data before entering the target weak network area, if an abnormal data loading occurs before or in the third time period corresponding to the second time period corresponding to the target weak network area, the terminal will The second time period corresponding to the target weak network area in the weak network area information is updated to a fourth time period including the second time period and the third time period.

For example, the second time period corresponding to the target weak network area in the first weak network area information is 60 seconds to 80 seconds. When the terminal starts to experience data loading abnormalities between subway station A and subway station B, the distance The time for the terminal to enter subway station A is 50 seconds. When the data loading between the terminal and subway station B is normal, the time until the terminal enters subway station A is 60 seconds. Then the terminal will be between 50 seconds and 60 seconds (that is, the first (three time periods) is in the weak network area, the terminal can update the second time period corresponding to the target weak network area in the first weak network area information to the fourth time period of 50 seconds to 80 seconds based on the actual stuck time (i.e. updated to include the second time period and the third time period).

In the embodiment of the present application, after the terminal preloads data before entering the target weak network area, if an abnormal data loading occurs before or in the third time period corresponding to the second time period corresponding to the target weak network area, the third time period will be The second time period corresponding to the target weak network area in the weak network area information is updated to the fourth time period including the second time period and the third time period, that is, the first weak network area information is updated according to the actual jam time of the terminal. , In this way, the accuracy of terminal preloading data before weak network areas is improved.

Figure 4 shows a possible structural schematic diagram of the data preloading device involved in the embodiment of the present application. As shown in FIG. 4 , the data preloading device 70 may include: an acquisition module 71 , a determination module 72 and a processing module 73 .

Among them, the acquisition module 71 is used to obtain the first weak network area information. The first weak network area information includes location information and time information of at least one weak network area. The first weak network area information is based on time scene, time period, The operator calculates the lag index and combines the lag index with the region where the terminal is located to obtain it. The determination module 72 is configured to determine a target weak network area existing between the first area and the second area based on the first weak network area information. The first area is the area where the terminal is currently located, and the second area is the predicted target. area. The processing module 73 is configured to preload data corresponding to the target weak network area within a target time before entering the target weak network area.

Embodiments of the present application provide a data preloading device. When loading data, the terminal can determine the area between the current area of the terminal and the predicted target area (that is, the area that the predicted terminal needs to reach) based on the first weak network area information. Whether there is a weak network area between them, and if there is a weak network area, preload data before entering the weak network area, that is, the terminal will have data loading abnormalities between the current area and the predicted target area. When the situation arises, data can be preloaded in advance, which improves the diversity and flexibility of data preloading for streaming media applications by the terminal and avoids being unable to view information due to network problems.

In a possible implementation, the time information of the at least one weak network area includes at least one time scene Information and at least one time period. The time information of a weak network area includes a time scene information and a time period corresponding to the time scene information. The time scene information is used to indicate the time scene corresponding to a weak network area; the above-mentioned determination module 72 , specifically used to determine the third area between the first area and the second area as the target weak network when the time scene information corresponding to the first area matches the first time scene information in at least one time scene information. area, the third area is an area that the terminal needs to pass through and corresponds to the first time period, and the first time period is the time period corresponding to the first time scene information.

In a possible implementation, the above-mentioned acquisition module 71 is specifically used to obtain at least one historical lag data and at least one historical scene identification data. Each historical lag data is used to indicate a loading exception when a terminal historically loads data. The location information and time information, each historical scene recognition data is used to indicate the time information corresponding to the area that a terminal passed when loading data in history; according to each historical scene recognition data, the time information that each terminal passed when loading data in history is Divide the time information corresponding to the area to obtain at least one time period; map at least one historical lag data to the at least one time period, at least one operator, and at least one time scene information, and calculate the lag index. Including the lag user ratio and average lag duration in different time scenarios for all lag time periods under different operators; based on the lag user ratio and the average lag duration, all the lag time periods under different operators are divided into The target time period in which the stuck user ratio and the average stuck duration satisfy the preset conditions, the location information corresponding to the target time period, and the time scene corresponding to the target time period are determined as at least one weak network area information, and the at least one weak network area information is In the network area information, the weak network area information corresponding to the area where the terminal is located and the operator of the terminal is determined as the first weak network area information.

In a possible implementation, the above-mentioned processing module 73 is specifically configured to determine a target time based on the first information, and preload data corresponding to the target weak network area starting from the target time. The target time is when entering the target weak network area. At a time point before, the first information includes at least one of the following: type information of the data to be preloaded, information about the application program corresponding to the data to be preloaded, and network quality of the area where the terminal is located before entering the target weak network area.

In a possible implementation, the above-mentioned processing module 73 is specifically used to preload the data of the target capacity corresponding to the target weak network area within the target time before entering the target weak network area. The target capacity is at least as follows: One determination: the length of the time period corresponding to the target weak network area and the type information of the data to be preloaded.

In a possible implementation, the data preloading device 70 provided by the embodiment of the present application further includes: an update module. The above-mentioned update module is used to preload data corresponding to the target weak network area after the processing module 73 preloads the data corresponding to the target weak network area within the target time before entering the target weak network area. If data loading occurs before the second time period or in the third time period after In the abnormal situation, the time period corresponding to the second time period in the first weak network area information is updated to the fourth time period. The second time period is the time period corresponding to the target weak network area. The fourth time period includes The second time period and the third time period.

The data preloading device provided by the embodiments of the present application can realize each process implemented by the terminal in the above method embodiments, and can achieve the same technical effect. To avoid duplication, the details will not be described here.

The data preloading device in the embodiment of the present application may be a device, or may be a component, integrated circuit, or chip in the terminal. The device may be a mobile electronic device or a non-mobile electronic device. For example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (personal digital assistant). assistant, PDA), etc., non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computers (personal computers, PC), televisions (television, TV), teller machines or self-service machines, etc., this application The examples are not specifically limited.

The data preloading device in the embodiment of the present application may be a device with an operating system. This operating system can install The Android operating system can be an ios operating system or other possible operating systems, which are not specifically limited in the embodiments of this application.

Optionally, as shown in Figure 5, this embodiment of the present application also provides a terminal 800, including a processor 801, a memory 802, and programs or instructions stored in the memory 802 and executable on the processor 801. When the program or instruction is executed by the processor 801, each process of the above method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, the details will not be described here.

Figure 6 is a schematic diagram of the hardware structure of a terminal that implements an embodiment of the present application.

The terminal 100 includes but is not limited to: a radio frequency unit 101, a network module 102, an audio output unit 103, an input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110 and other components. .

Those skilled in the art can understand that the terminal 100 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 110 through a power management system, thereby managing charging, discharging, and power consumption through the power management system. Management and other functions. The terminal structure shown in FIG. 6 does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or some components may be combined or arranged differently, which will not be described again here.

Among them, the processor 110 is used to obtain the first weak network area information, the first weak network area information includes the location information and time information of at least one weak network area; according to the first weak network area information, determine the first area to the third weak network area. The target weak network area exists between the two areas, the first area is the area where the terminal is currently located, and the second area is the predicted target area; and within the target time before entering the target weak network area, the target is preloaded Data corresponding to weak network areas.

Embodiments of the present application provide a terminal. When loading data, the terminal can determine whether there is an area between the area where the terminal is currently located and the predicted target area (that is, the area that the predicted terminal needs to reach) based on the first weak network area information. Weak network area, and if there is a weak network area, preload data before entering the weak network area, that is, when the terminal determines that there will be abnormal data loading between the current area and the predicted target area, Data can be preloaded in advance, which improves the diversity and flexibility of data preloading for streaming media applications by the terminal, and avoids being unable to view information due to network problems.

Optionally, the time information of the at least one weak network area includes at least one time scene information and at least one time period. The time information of one weak network area includes one time scene information and a time period corresponding to the one time scene information. A time The scene information is used to indicate a time scene corresponding to a weak network area; the processor 110 is specifically configured to, when the time scene information corresponding to the first area matches the first time scene information in at least one time scene information, convert the first time scene information to the first time scene information. The third area between the first area and the second area is determined as the target weak network area. The third area is an area that the terminal needs to pass through and corresponds to the first time period. The first time period is the same as the first time scenario. The time period corresponding to the information.

Optionally, the processor 110 is specifically configured to obtain at least one historical lag data and at least one historical scene identification data. Each historical lag data is used to indicate the location information and time information where a loading abnormality occurred when a terminal historically loaded data. , each historical scene recognition data is used to indicate the time information corresponding to the area that a terminal passes through when loading data in history; according to each historical scene identification data, the time information corresponding to the area that each terminal passes through when loading data in history is performed. Divide to obtain at least one time period; map at least one historical lag data to the at least one time period, at least one operator and at least one time scenario information, and calculate the lag index, which includes all lags under different operators The ratio of users who are stuck and the average duration of lag in different time scenarios during the stuck time period; based on the ratio of users who are stuck and the average duration of lag, the ratio and average number of users who are stuck in all stuck time periods under different operators are Satisfactory lag time The target time period of the preset condition, the location information corresponding to the target time period, and the time scene corresponding to the target time period are determined as at least one weak network area information, and the at least one weak network area information is related to the area where the terminal is located, And the weak network area information corresponding to the operator of the terminal is determined as the first weak network area information.

Optionally, the processor 110 is specifically configured to determine a target time based on the first information, and preload data corresponding to the target weak network area starting from the target time, where the target time is a time point before entering the target weak network area, The first information includes at least one of the following: type information of data to be preloaded, information about an application corresponding to the data to be preloaded, and network quality of the area where the terminal is located before entering the target weak network area.

Optionally, the processor 110 is specifically configured to preload the data of the target capacity corresponding to the target weak network area within the target time before entering the target weak network area. The target capacity is determined by at least one of the following: the target weak network area. The length of the time period corresponding to the network area and the type information of the data to be preloaded.

Optionally, the processor 110 is also configured to preload the data corresponding to the target weak network area within the target time before entering the target weak network area. If the data appears in the third time period before or after the second time period, In the case of abnormal loading, the time period corresponding to the second time period in the first weak network area information is updated to the fourth time period. The second time period is the time period corresponding to the target weak network area. The fourth time period Including the second time period and the third time period.

The terminal provided by the embodiments of this application can implement each process implemented by the above method embodiments, and can achieve the same technical effect. To avoid duplication, details will not be described here.

For specific beneficial effects of various implementation methods in this embodiment, please refer to the beneficial effects of corresponding implementation methods in the above method embodiments. To avoid duplication, they will not be described again here.

It should be understood that in the embodiment of the present application, the input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042. The graphics processor 1041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 106 may include a display panel 1061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 107 includes a touch panel 1071 and at least one of other input devices 1072 . Touch panel 1071 is also called a touch screen. The touch panel 1071 may include two parts: a touch detection device and a touch controller. Other input devices 1072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 109 may include volatile memory or nonvolatile memory, or memory 109 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). The memory 109 in the embodiment of the present application includes but is not limited to these and any Note other suitable types of memory.

The processor 110 may include one or more processing units; optionally, the processor 110 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 110 .

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above method embodiments is implemented and the same technology can be achieved. The effect will not be described here to avoid repetition.

Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement various processes of the above method embodiments. , and can achieve the same technical effect, so to avoid repetition, they will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application. .

Claims

A data preloading method, the method includes:

Obtain first weak network area information. The first weak network area information includes location information and time information of at least one weak network area. The first weak network area information is based on time scenarios, time periods, and operators to calculate lags. The indicator is obtained by combining the stuck indicator with the region where the terminal is located;

According to the first weak network area information, determine the target weak network area existing between the first area and the second area, the first area is the area where the terminal is currently located, and the second area is the predicted target area;

Within the target time before entering the target weak network area, data corresponding to the target weak network area is preloaded.
The method according to claim 1, wherein the time information of the at least one weak network area includes at least one time scene information and at least one time period, and the time information of a weak network area includes a time scene information and the one time period. The time period corresponding to the time scene information, the one time scene information is used to indicate the time scene corresponding to the one weak network area;

Determining the target weak network area existing between the first area and the second area based on the first weak network area information includes:

When the time scene information corresponding to the first area matches the first time scene information in the at least one time scene information, a third area between the first area and the second area is determined. is the target weak network area, the third area is an area that the terminal needs to pass through and corresponds to the first time period, and the first time period is the time period corresponding to the first time scene information. .
The method according to claim 1, wherein said obtaining the first weak network area information includes:

Obtain at least one historical lag data and at least one historical scene recognition data. Each historical lag data is used to indicate the location information and time information of a loading exception when a terminal historically loads data. Each historical scene recognition data is used to indicate a terminal. The time information corresponding to the area passed by when loading data in the terminal history;

According to each historical scene recognition data, divide the time information corresponding to the area that each terminal passes through when loading historical data, and obtain at least one time period;

Mapping the at least one historical lag data to the at least one time period, at least one operator and at least one time scene information, and calculating the lag index, where the lag index includes all lags under different operators The ratio of stuck users and the average stuck time in different time scenarios during the time period;

According to the lag user ratio and the average lag duration, the target time period in which the lag user ratio and the average lag duration satisfy the preset conditions in all jam time periods under different operators are determined. The location information corresponding to the target time period and the time scene corresponding to the target time period are determined as at least one weak network area information, and the at least one weak network area information is related to the area where the terminal is located and is related to the area where the terminal is located. Corresponding to the operator of the terminal Weak network area information is determined as the first weak network area information.
The method according to any one of claims 1 to 3, wherein preloading data corresponding to the target weak network area within a target time before entering the target weak network area includes:

Determine a target time according to the first information, and preload data corresponding to the target weak network area starting from the target time. The target time is a time point before entering the target weak network area. The first The information includes at least one of the following: type information of the data to be preloaded, type information of the application program corresponding to the data to be preloaded, and network quality of the area where the terminal is located before entering the target weak network area.
The method according to any one of claims 1 to 3, wherein preloading data corresponding to the target weak network area within a target time before entering the target weak network area includes:

During the target time before entering the target weak network area, preload the data of the target capacity corresponding to the target weak network area. The target capacity is determined by at least one of the following: the time corresponding to the target weak network area. Segment length, type information of data to be preloaded.
The method according to claim 1, wherein after preloading data corresponding to the target weak network area within the target time before entering the target weak network area, the method further includes:

If data loading anomaly occurs in the third time period before or after the second time period, the time period corresponding to the second time period in the first weak network area information is updated to the fourth time period, so The second time period is a time period corresponding to the target weak network area, and the fourth time period includes the second time period and the third time period.
A data preloading device, the data preloading device includes: an acquisition module, a determination module and a processing module;

The acquisition module is used to obtain first weak network area information. The first weak network area information includes location information and time information of at least one weak network area. The first weak network area information is based on time scenarios and time periods. , the operator calculates the lag index and combines the lag index with the region where the terminal is located to obtain it;

The determination module is configured to determine a target weak network area existing between a first area and a second area based on the first weak network area information, where the first area is the area where the terminal is currently located, and the The second area is the predicted target area;

The processing module is configured to preload data corresponding to the target weak network area within a target time before entering the target weak network area.
The device according to claim 7, wherein the time information of the at least one weak network area includes at least one time scene information and at least one time period, and the time information of a weak network area includes a time scene information and the one time period. The time period corresponding to the time scene information, the one time scene information is used to indicate the time scene corresponding to the one weak network area;

The determination module is specifically configured to, in the case where the time scene information corresponding to the first area matches the first time scene information in the at least one time scene information, change the first area to the second time scene information. The third area between the areas is determined as the target weak network area, the third area is the area that the terminal needs to pass through and corresponds to the first time period, and the first time period is the area corresponding to the first time period. A time period corresponding to scene information.
The device of claim 7, wherein

The acquisition module is specifically used to obtain at least one historical lag data and at least one historical scene identification data. Each historical lag data is used to indicate the location information and time information of a loading exception when a terminal historically loads data. Each Historical scene recognition data is used to indicate the time information corresponding to the area that a terminal passed through when loading historical data;

According to each historical scene recognition data, divide the time information corresponding to the area that each terminal passes through when loading historical data, and obtain at least one time period;

Mapping the at least one historical lag data to the at least one time period, at least one operator and at least one time scene information, and calculating the lag index, where the lag index includes all lags under different operators The ratio of stuck users and the average stuck time in different time scenarios during the time period;

According to the lag user ratio and the average lag duration, the target time period in which the lag user ratio and the average lag duration satisfy the preset conditions in all jam time periods under different operators are determined. The location information corresponding to the target time period and the time scene corresponding to the target time period are determined as at least one weak network area information, and the at least one weak network area information is related to the area where the terminal is located and is related to the area where the terminal is located. The weak network area information corresponding to the operator of the terminal is determined as the first weak network area information.
The device according to any one of claims 7 to 9, wherein

The processing module is specifically configured to determine a target time based on the first information, and preload data corresponding to the target weak network area starting from the target time. The target time is the time before entering the target weak network area. At one point in time, the first information includes at least one of the following: type information of the data to be preloaded, information about the application program corresponding to the data to be preloaded, and the area where the terminal was located before entering the target weak network area. network quality.
The device according to any one of claims 7 to 9, wherein

The processing module is specifically configured to preload the data of the target capacity corresponding to the target weak network area within the target time before entering the target weak network area. The target capacity is determined by at least one of the following: Describe the length of the time period corresponding to the target weak network area and the type information of the data to be preloaded.
The device according to claim 7, wherein the data preloading device further includes: an update module;

The update module is configured to preload the data corresponding to the target weak network area within the target time before the processing module enters the target weak network area. If the second time period is before or after the second time period, Three time periods If an abnormal data loading occurs, the time period corresponding to the second time period in the first weak network area information is updated to a fourth time period, and the second time period corresponds to the target weak network area. time period, and the fourth time period includes the second time period and the third time period.
A terminal, including a processor, a memory and a program or instructions stored on the memory and executable on the processor. When the program or instructions are executed by the processor, the implementation of claims 1 to 6 is achieved. The steps of the data preloading method described in any one of the above.
A readable storage medium on which a program or instructions are stored. When the program or instructions are executed by a processor, the steps of the data preloading method according to any one of claims 1 to 6 are implemented.
A chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the data according to any one of claims 1 to 6 Preload method.
A terminal configured to perform the data preloading method according to any one of claims 1 to 6.