CN107707759B

CN107707759B - Terminal control method, device and system, and storage medium

Info

Publication number: CN107707759B
Application number: CN201710957240.4A
Authority: CN
Inventors: 张晓亮; 刘任; 张通; 邢旺
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2017-10-16
Filing date: 2017-10-16
Publication date: 2021-01-15
Anticipated expiration: 2037-10-16
Also published as: CN107707759A

Abstract

The disclosure relates to a terminal control method, device and system, and a storage medium, and belongs to the technical field of communication. The method comprises the following steps: acquiring first use data, wherein the first use data are data generated by a user acting on a terminal within a preset time before the current time; determining the type of a target user to which the user belongs according to the first use data; inquiring a preset corresponding relation between the user type and the configuration information of the terminal according to the target user type of the user to obtain target configuration information corresponding to the target user type; and when the configuration information of the terminal at the current moment is different from the target configuration information, changing the configuration information at the current moment into the target configuration information. The problem that the use flexibility of the terminal is poor is solved. The present disclosure is for terminal control.

Description

Terminal control method, device and system, and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a terminal control method, apparatus, system, and storage medium.

Background

With the rapid development of communication technology, terminals have become one of essential tools in people's lives.

In order to facilitate the user to use the terminal, the terminal may preset fixed configuration information, which may include performance configuration information and power consumption configuration information, based on which the user learns or entertains. Assuming that the terminal is a mobile phone, the power consumption configuration information may include a limit temperature of operation of the mobile phone, such as 45 ℃ (celsius), and when a user plays a game using the mobile phone, the operation speed of the mobile phone may be reduced when the temperature of the mobile phone reaches 45 ℃.

However, since the configuration information of the terminal is generally fixed, the flexibility of use of the terminal is poor.

Disclosure of Invention

The present disclosure provides a terminal control method, apparatus and system, and a storage medium, which can solve the problem of poor flexibility in use of a terminal in the related art. The technical scheme is as follows:

according to a first aspect of the present disclosure, there is provided a terminal control method, the method including:

acquiring first use data, wherein the first use data are data generated by a user acting on a terminal within a preset time before the current time;

determining the type of a target user to which the user belongs according to the first use data;

inquiring a preset corresponding relation between the user type and the configuration information of the terminal according to the target user type of the user to obtain target configuration information corresponding to the target user type;

and when the configuration information of the terminal at the current moment is different from the target configuration information, changing the configuration information at the current moment into the target configuration information.

Optionally, the determining, by the first usage data, a target user type to which the user belongs includes:

receiving a user type identification model sent by a management server, wherein the user type identification model is established by the management server according to the use data of a plurality of users for a terminal and the user type of each user;

and determining the type of the target user to which the user belongs based on the user type identification model according to the first use data.

when the first usage data meets a target identification condition, determining that the target user type to which the user belongs is a heavy user type, wherein the target identification condition comprises at least one of the following conditions:

the number of times that the screen of the terminal is touched belongs to a preset number range;

the switching frequency of the application of the terminal belongs to a preset frequency range;

the number of the opened applications of the terminal belongs to a preset number range;

the memory consumption value of the terminal belongs to a preset consumption range;

the temperature of a battery of the terminal belongs to a preset temperature rule;

and when the first usage data does not meet the target identification condition, determining that the target user type to which the user belongs is a non-severe user type.

Optionally, the configuration information of the terminal includes performance configuration information and power consumption configuration information.

Optionally, the performance configuration information includes a frequency of a central processing unit of the terminal, and the power consumption configuration information includes a limit temperature at which the terminal operates.

Optionally, the frequency of the terminal used by the heavy user type user is higher than the frequency of the terminal used by the non-heavy user type user.

According to a second aspect of the present disclosure, there is provided a terminal control method including:

acquiring the use data of a plurality of users for a terminal to be monitored and the user type of each user;

establishing a user type identification model according to the use data of a plurality of users for the terminal and the user type of each user;

and sending a user type identification model to a terminal, wherein the terminal is used for determining the target user type of the user based on the user type identification model according to first use data, and the first use data is data generated by the user acting on the terminal within a preset time before the current time.

Optionally, the establishing a user type identification model according to the usage data of the plurality of users for the terminal and the user type to which each user belongs includes:

and establishing a user type identification model according to the use data of a plurality of users for the terminal and the user type of each user by adopting a machine learning algorithm.

Optionally, the usage data includes: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal.

According to a third aspect of the present disclosure, there is provided a terminal control apparatus comprising:

the acquisition module is configured to acquire first use data, wherein the first use data are data generated by a user acting on a terminal within a preset time before the current time;

a determining module configured to determine a target user type to which the user belongs according to the first usage data;

the query module is configured to query the corresponding relation between the preset user type and the configuration information of the terminal according to the target user type of the user to obtain the target configuration information corresponding to the target user type;

and the changing module is configured to change the configuration information at the current moment into the target configuration information when the configuration information of the terminal at the current moment is different from the target configuration information.

Optionally, the target user type is a heavy user type or a non-heavy user type, and the determining module is configured to:

According to a fourth aspect of the present disclosure, there is provided a terminal control apparatus comprising:

the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is configured to acquire the use data of a plurality of users for a terminal to be monitored and the user type of each user;

the establishing module is configured to establish a user type identification model according to the use data of a plurality of users for the terminal and the user type of each user;

the terminal is used for determining the target user type to which the user belongs based on the user type identification model according to first use data, wherein the first use data are data generated by the user acting on the terminal within a preset time before the current time.

Optionally, the establishing module is configured to:

According to a fifth aspect of the present disclosure, there is provided a terminal control apparatus comprising:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

According to a sixth aspect of the present disclosure, there is provided a terminal control apparatus comprising:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

According to a seventh aspect of the present disclosure, there is provided a storage medium having stored therein instructions that, when run on a processing component, cause the processing component to execute the terminal control method according to the first aspect.

According to an eighth aspect of the present disclosure, there is provided a storage medium having stored therein instructions that, when run on a processing component, cause the processing component to execute the terminal control method according to the second aspect.

According to a ninth aspect of the present disclosure, there is provided a terminal control system comprising:

a terminal and a management server, wherein the management server is connected with the terminal,

the terminal comprises the terminal control device of the third aspect, and the management server comprises the terminal control device of the fourth aspect.

According to a tenth aspect of the present disclosure, there is provided a terminal control system comprising:

the terminal includes the terminal control device according to the fifth aspect, and the management server includes the terminal control device according to the sixth aspect.

The technical scheme provided by the disclosure can comprise the following beneficial effects:

according to the terminal control method, the terminal control device, the terminal control system and the terminal control storage medium, the terminal obtains first use data, determines a target user type to which a user belongs, then determines target configuration information corresponding to the target user type, and then changes the configuration information at the current moment into the target configuration information when the configuration information of the terminal at the current moment is different from the target configuration information. The method can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure, the drawings that are needed to be used in the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and that other drawings can be obtained by those skilled in the art without inventive effort.

Fig. 1 is a schematic diagram of an implementation environment related to a terminal control method provided in an embodiment of the present disclosure;

FIG. 2 is a flow chart illustrating a method of terminal control according to an exemplary embodiment;

fig. 3 is a flow chart illustrating another terminal control method according to an example embodiment;

fig. 4 is a flowchart illustrating yet another terminal control method according to an exemplary embodiment;

fig. 5 is a flowchart illustrating still another terminal control method according to an exemplary embodiment;

FIG. 6 is a block diagram illustrating a terminal control device according to an exemplary embodiment;

FIG. 7 is a block diagram illustrating another terminal control device according to an example embodiment;

FIG. 8 is a block diagram illustrating yet another terminal control device according to an exemplary embodiment;

fig. 9 is a block diagram illustrating a terminal control apparatus according to an example embodiment.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the present disclosure more clear, the present disclosure will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments, which can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort, shall fall within the scope of protection of the present disclosure.

In the embodiment of the present disclosure, the terminal control method may have different execution scenarios, for example, the terminal may execute the terminal control method with the assistance of the management server, or may execute the terminal control method by itself. The embodiments of the present disclosure are described by taking the following two execution scenarios as examples.

In a first execution scenario, the terminal executes the terminal control method with the assistance of the management server.

Referring to fig. 1, a schematic diagram of an implementation environment related to a terminal control method provided in an embodiment of the present disclosure is shown. The implementation environment may include two types: a terminal 110 and a management server 120. The management server 120 may be a server, a server cluster composed of several servers, or a cloud computing service center. The terminal 110 may be a smartphone, a tablet computer, or a wearable device. The connection between the terminal 110 and the management server 120 may be established through a wireless network or a wired network.

Fig. 2 is a flowchart illustrating a terminal control method according to an exemplary embodiment, where the terminal control method is applied to a terminal, which may be the terminal 110 in the implementation environment illustrated in fig. 1, and the method includes:

in step 101, first usage data is obtained, where the first usage data is data generated by a user acting on a terminal within a preset time period before a current time.

In step 102, a target user type to which the user belongs is determined from the first usage data.

In step 103, a preset corresponding relationship between the user type and the configuration information of the terminal is queried according to the target user type of the user, so as to obtain target configuration information corresponding to the target user type.

In step 104, when the configuration information of the terminal at the current time is different from the target configuration information, the configuration information at the current time is changed to the target configuration information.

To sum up, in the terminal control method provided by the embodiment of the present disclosure, the terminal obtains the first usage data, determines the type of the target user to which the user belongs, then determines the target configuration information corresponding to the type of the target user, and then, when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time into the target configuration information. The method can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

Fig. 3 is a flowchart illustrating another terminal control method applied to a management server, which may be the management server 120 in the implementation environment shown in fig. 1, according to an exemplary embodiment, and the method includes:

in step 201, usage data of a plurality of users for a terminal to be monitored and a user type to which each user belongs are acquired.

In step 202, a user type identification model is established according to the usage data of a plurality of users for the terminal and the user type to which each user belongs.

In step 203, a user type identification model is sent to the terminal, where the terminal is configured to determine a target user type to which the user belongs based on the user type identification model according to first usage data, where the first usage data is data generated by the user acting on the terminal within a preset time before the current time.

To sum up, in the terminal control method provided in the embodiment of the present disclosure, the management server establishes the user type identification model according to the usage data of the terminal by the plurality of users and the user type to which each user belongs, and sends the user type identification model to the terminal, so that the terminal determines the target user type to which the user belongs based on the user type identification model, and when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time into the target configuration information. The method can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

Fig. 4 is a flowchart illustrating yet another terminal control method according to an exemplary embodiment, which is applied to the implementation environment illustrated in fig. 1. Since the types of the terminals can be various, the management server can establish a corresponding user type identification model for each type of terminal. In the embodiment of the present disclosure, taking an example that the management server may establish a corresponding user type identification model for a certain type of terminal, and then send the user type identification model to the terminal, and the terminal determines a target user type to which a user belongs based on the user type identification model, a process of establishing a user type identification model for other types of terminals may refer to a corresponding process for the certain type of terminal. The embodiments of the present disclosure will not be described in detail herein. Illustratively, the terminal control method may include the following steps:

in step 301, the management server obtains usage data of a plurality of users for the terminal to be monitored and a user type to which each user belongs.

For example, the usage data may include: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal. The data types of different data are different, and the data types such as the number of times the screen of the terminal is touched are different from the switching frequency of the applications of the terminal. The data type of the number of applications opened by the terminal is different from the data type of the memory consumption value of the terminal.

The number of times that the screen of the terminal is touched is used to reflect the number of times that the user clicks the screen within a first preset time period, where the first preset time period may be preset by the user or the terminal itself, for example, the first preset time period may be one day (i.e., 24 hours), and the number of times that the screen of the terminal is touched may be used to reflect the number of times that the user clicks the screen within one day, taking the terminal as a mobile phone as an example, and if the number of times that the user clicks the screen within one day is 5000, the number of times that the corresponding screen of the terminal is touched is 5000.

The switching frequency of the application of the terminal is used for reflecting the number of applications switched by the user in a second preset time period, where the second preset time period may be preset by the user or the terminal itself, and the same application may exist in the switched applications, for example, the second preset time period may be one day (i.e., 24 hours), and the switching frequency of the application of the terminal may be used for reflecting the number of applications switched by the user in one day, taking the terminal as a mobile phone as an example, if the usage duration of the user for the application a in one day is 5 minutes, then the user switches from the application a to the application B, the usage duration for the application B is 10 minutes, then the user switches from the application B to the application a again, and the usage duration for the application a is 20 minutes, then the switching frequency of the application of the corresponding terminal is 3.

The number of the applications opened by the terminal is used for reflecting the number of the applications opened by the user within a third preset time period, which may be preset by the user or the terminal itself, for example, the third preset time period may be one day (i.e. 24 hours), and then the number of the applications opened by the terminal may be used for reflecting the number of the applications opened by the user within one day. Taking the terminal as a mobile phone as an example, if the user opens 3 applications in one day: and if the application A, the application B and the application C are applied, the number of the applications opened by the corresponding terminals is 3.

The memory consumption value of the terminal is used to reflect the size of the memory of the terminal consumed in a fourth preset time period, where the fourth preset time period may be preset by the user or the terminal itself, for example, the fourth preset time period may be one day (i.e., 24 hours), and then the memory consumption value of the terminal may be used to reflect the size of the memory of the terminal consumed in one day. Taking the terminal as a mobile phone as an example, if the current memory size of the mobile phone is 30G (giga) and the memory size before one day is 32G, the memory consumption value of the corresponding terminal is 2G.

The temperature of the battery of the terminal is used to reflect the temperature of the battery of the terminal during a fifth preset time period, which may be preset by the user or the terminal itself, for example, the fifth preset time period may be one day (i.e., 24 hours), and then the temperature of the battery of the terminal may be used to reflect the temperature of the battery of the terminal during one day. Taking the terminal as a mobile phone as an example, the maximum temperature of the battery in 4 hours can be obtained in 4 hours, and then 6 temperatures in one day are recorded, for example, the 6 temperatures are respectively: 20 ℃, 25 ℃, 35 ℃, 40 ℃ and 45 ℃, the temperature of the battery of the corresponding terminal is: 20 ℃, 25 ℃, 35 ℃, 40 ℃ and 45 ℃.

It should be noted that the first preset time period to the fifth preset time period may be equal to or different from each other, and this is not limited in the embodiment of the present disclosure.

The management server acquires the use data of a plurality of users for the terminal to be monitored and the user type to which each user belongs, wherein the user types comprise a heavy user type and a non-heavy user type. The user corresponding to the severe user type is a severe user, and the user corresponding to the non-severe user type is a non-severe user. The heavy users refer to users with higher dependence on the terminal, the non-heavy users refer to users with lower dependence on the terminal, and the dependence of the heavy users on the terminal is higher than that of the non-heavy users on the terminal. The terminal is used differently for a heavy user and a non-heavy user, the terminal is used more frequently by the heavy user than by the non-heavy user, for example, the screen of the terminal is touched more times differently, and the screen is touched more times by the heavy user than by the non-heavy user. For example, the frequency of switching the applications of the terminal is different, and the frequency of switching the heavy user to the applications is greater than the frequency of switching the non-heavy user to the applications. Taking a terminal as a mobile phone as an example, generally, a heavy user uses the mobile phone to surf the internet for 19.2 times per week on average, the time for using the mobile phone to surf the internet for 4.5 hours per week on average, the frequency for using the news of the mobile phone for 15.6 times per week on average, the frequency for using the mobile instant messaging for 13.6 times per week on average, the frequency for using the mobile phone to search for 10.2 times per week on average, and the frequency for using the mobile phone to download contents for 3.8 times per week on average. In practical application, the usage data of a plurality of users for the terminal to be monitored can be obtained from the running log of the terminal. The operation log generally includes various information and records of the terminal during operation.

For example, assuming that the terminal is a mobile phone, a preset number of users and the mobile phone of the same type are counted, for example, 10 ten thousand users are counted, where the 10 ten thousand users include n (n >1) severe users and m (m >1) non-severe users, where m and n may be equal or unequal. Under the condition that a user agrees to monitor the mobile phone, the management server acquires the use data of n severe users aiming at the mobile phone in one month and the use data of m non-severe users aiming at the mobile phone in one month from 10 ten thousand mobile phones of the same type, taking a severe user as an example, the mobile phone acquires the use data once every day from the operation log of the mobile phone in the process of using the mobile phone by the severe user, and the acquired use data is uploaded to the management server. After monitoring the mobile phone of the heavy user for one month, the management server obtains the use data of the heavy user for the mobile phone of the heavy user every day in one month. Correspondingly, the usage data of the non-severe users for the mobile phones in one month are obtained, so that the management server obtains the usage data of n severe users for the mobile phones in one month and the usage data of m non-severe users for the mobile phones in one month.

In step 302, the management server establishes a user type identification model according to the usage data of a plurality of users for the terminal and the user type to which each user belongs.

In the embodiment of the present disclosure, the management server may establish the user type identification model by using a Machine Learning (english: Machine Learning) algorithm according to the usage data of the plurality of users for the terminal and the user type to which each user belongs. The machine learning is a science of artificial intelligence that uses algorithms to parse data, learn from it to derive models, and then make decisions and predictions about events in the real world. For example, when a user searches using a search engine, machine learning helps the search engine determine which results are more suitable for the user.

For example, taking the usage data obtained by the management server in step 101 as an example, the process of establishing the user type identification model by using the machine learning algorithm may include:

s1, the management server integrates the usage data of the plurality of users for the terminal into a usage data set.

The usage data of the plurality of users for the terminal, which is obtained by the management server at first, may be in a predetermined format or may be scattered, and therefore, the management server needs to integrate the usage data of the plurality of users for the terminal, the integration process may include classification, sorting, and/or deduplication processing, and the integrated data may be referred to as a usage data set.

It should be noted that a general machine learning-determined model takes into account at least two quantities: one is a dependent variable, i.e., the result that one wishes to predict, and the other is an independent variable, i.e., the quantity used to predict the result. In the disclosed embodiment, the data in the usage data set can be used as independent variables, and the user type can be used as dependent variables. The data in the usage data set may be referred to as samples, and in order to ensure the accuracy of the finally obtained user type identification model, the samples generally include positive samples and negative samples. Positive examples refer to examples belonging to a certain category, and negative examples refer to examples not belonging to the certain category, which is a heavy user type in the embodiments of the present disclosure.

Optionally, the data classification process may include a process of dividing usage data of the plurality of users for the terminal into a positive sample and a negative sample, where the positive sample is the usage data of the heavy user for the terminal, and the negative sample is the usage data of the non-heavy user for the terminal.

For example, among the usage data of the plurality of users for the terminal acquired by the management server, the usage data of n heavy users for the terminal may be used as a positive sample in the usage data set, and the usage data of m non-heavy users for the terminal may be used as a negative sample in the usage data set.

Optionally, the data sorting process may include sorting the usage data of the plurality of users for the terminal according to a specified rule, for example, sorting according to a chronological order.

Optionally, the deduplication processing refers to a process of removing repeated data in the usage data of the multiple users for the terminal, because when the usage data of the multiple users for the terminal is obtained, the similarity of the usage data in a period of time may be higher, and the usage data with higher similarity is not valuable for improving the accuracy of the user type identification model, and thus may be removed through the deduplication processing. Through the deduplication processing, the number of the use data in the use data set can be reduced, and the generation speed of the user type identification model can be improved.

For example, the management server performs deduplication processing on the usage data of the n heavy users for the terminal and the usage data of the m non-heavy users for the terminal respectively. The deduplication processing may be configured to remove usage data of the heavy users for the terminal, of the usage data of the n heavy users for the terminal, with a similarity greater than or equal to a first threshold, and usage data of the non-heavy users for the terminal, of the usage data of the m non-heavy users for the terminal, with a similarity greater than or equal to a second threshold. In general, the deduplication process may be used to remove identical usage data in the usage data of the n heavy users for the terminal, that is, the first threshold may be 1, and identical usage data in the usage data of the m non-heavy users for the terminal, that is, the second threshold may be 1. This is because when the terminal acquires the usage data of the heavy user for the terminal and the usage data of the non-heavy user for the terminal, the similarity of the usage data (the usage data of the heavy user for the terminal or the usage data of the non-heavy user for the terminal) for a period of time may be higher, and these usage data with higher similarity are not high in value for improving the accuracy of the user type identification model, and thus can be removed by deduplication processing.

When the management server obtains usage data of n heavy users for the terminals of the n heavy users in one month and usage data of m non-heavy users for the terminals of the m non-heavy users in one month, assuming that the data type recorded in the usage data of each heavy user for the terminals every day is w (w >1), the usage data of any two heavy users for the terminals are the usage data of a first heavy user for the terminals and the usage data of a second heavy user for the terminals, and the similarity between the usage data of the first heavy user for the terminals and the usage data of the second heavy user for the terminals is as follows: v/w, v is the number of data with the same type and similar content (namely, the content similarity is greater than a preset value) in the use data of the first heavy user for the terminal and the use data of the second heavy user for the terminal. For example, it is assumed that the data type recorded in the usage data of each heavy user for the terminal is 5 types, the first threshold is 1, the number of times that the screen of the terminal is touched in the usage data of the first heavy user for the terminal in a certain day is 5100, the switching frequency of the applications of the terminal is 100, the number of applications opened by the terminal is 20, the memory consumption value of the terminal is 1G, and it is assumed that 6 temperatures of the battery of the terminal are acquired in units of 4 hours as follows: 20 ℃, 25 ℃, 35 ℃, 40 ℃ and 45 ℃. In the usage data of the terminal by the second heavy user in a certain day, the number of times the screen of the terminal is touched is 5100, the switching frequency of the applications of the terminal is 100, the number of the applications opened by the terminal is 20, the memory consumption value of the terminal is 1G, and it is assumed that 6 temperatures of the battery of the terminal are acquired in 4 hours as follows: 20 ℃, 25 ℃, 35 ℃, 40 ℃ and 45 ℃. Through calculation, it can be found that the number of data with the same type and similar content (i.e. the content similarity is greater than a preset value) in the usage data of the first heavy user for the terminal and the usage data of the second heavy user for the terminal is 5, and then the similarity between the usage data of the first heavy user for the terminal and the usage data of the second heavy user for the terminal is: 5/5, since 5/5 is 1, the similarity between the usage data of the first heavy user for the terminal and the usage data of the second heavy user for the terminal is equal to the first threshold, the usage data of only one heavy user for the terminal can be saved through the deduplication processing, thereby improving the accuracy of the user type identification model.

Similarly, the usage data of different non-heavy users can be deduplicated in the same manner.

Furthermore, the usage data of the same heavy user can be subjected to deduplication processing, and the processing process can refer to a process of performing deduplication processing on the usage data of different heavy users. Correspondingly, the use data of the same non-severe user may also be subjected to deduplication processing, and the processing procedure may also refer to a procedure of performing deduplication processing on use data of different non-severe users, which is not described in detail in this embodiment of the disclosure.

In practical application, a group of use data exists in a same heavy user under a normal condition in a certain day, but if a condition that two groups of use data exist in the same heavy user in the certain day indicates that an error occurs in the data acquired by the management server, only one group of use data can be stored through deduplication processing at the moment so as to guarantee the accuracy of the finally acquired data. For example, if a certain day is 2017, 9 and 10, and a positive sample contains two sets of usage data of a heavy user a, 9 and 10 in 2017, only one set of usage data can be saved through deduplication processing, so that the accuracy of the user type identification model is improved. Similarly, if the same non-heavy user has two sets of usage data in a certain day, the same processing can be performed.

After the deduplication processing is performed, the management server merges the usage data of the heavy users for the terminal and the usage data of the non-heavy users for the terminal into the usage data set.

S2, the management server determines a classification algorithm.

The classification algorithm can be a decision tree algorithm, which is a decision analysis method for obtaining the probability that the expected value of the net present value is greater than or equal to zero by forming a decision tree on the basis of the known occurrence probability of various conditions, evaluating the risk of the project and judging the feasibility of the project, and is a graphical method for intuitively applying probability analysis. The classification algorithm may also be a logistic regression algorithm or a Support Vector Machine (SVM) algorithm, which is not limited in the embodiment of the present disclosure.

And S3, the management server can use the data set as training data and train according to a classification algorithm to obtain a user type recognition model.

After determining the classification algorithm and the usage data set, the management server may train the usage data set as training data according to the classification algorithm to obtain the user type recognition model. By way of example, the classification algorithm may be a decision tree algorithm.

The usage data set includes different types of usage data, which may be the number of times a screen of the terminal is touched, the switching frequency of applications of the terminal, the number of applications opened by the terminal, the memory consumption value of the terminal, the temperature of a battery of the terminal, and the like. The management server can train different types of use data in the use data set according to a decision tree algorithm, and finally a user type recognition model is obtained.

For example, an initial weight may be assigned to each type of usage data, and then based on the initial weight and each type of usage data, a sampling decision tree algorithm performs data training to obtain a final weight for each type of usage data, and based on the final weight, a user type recognition model is determined.

The process of obtaining the user type recognition model based on training using the data set in the embodiment of the present disclosure is a process in machine learning.

In addition, the management server can also select a part of the use data from the use data set as training data, obtain a user type identification model according to the training of a classification algorithm, verify the accuracy of the obtained user type identification model through the other part of the data, and determine that the user type identification model is qualified when the accuracy of the obtained user type identification model reaches an expectation; when the accuracy of the obtained user type identification model does not reach the expectation, the data set and the classification algorithm can be obtained again, so that the accuracy of the user type identification model is improved.

In step 303, the management server sends the user type identification model to the terminal.

After the management server obtains the user type recognition model according to the classification algorithm training, the user type recognition model can be sent to the terminal to be monitored through a wired or wireless network, and correspondingly, the terminal receives the user type recognition model sent by the management server.

In practical application, the staff can also acquire the user type identification model from the management server in a manual mode and write the user type identification model into the terminal to be monitored.

It should be noted that the management server may periodically perform the above steps 301 to 303 to periodically update the user type identification model, and then distribute the updated user type identification model to the terminal, so as to provide some better user type identification models for the terminal.

In step 304, the terminal obtains first usage data, where the first usage data is data generated by the user acting on the terminal within a preset time period before the current time.

Wherein, the preset duration before the current time refers to the preset duration closest to the current time, that is, the preset duration taking the current time as the end time, and the first usage data may include: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal.

For example, assuming that the preset time duration is one day, the first usage data acquired by the terminal is data generated by the user acting on the terminal in the day before the current time.

In step 305, the terminal determines a target user type to which the user belongs based on the user type identification model according to the first usage data.

In the embodiment of the disclosure, the terminal inputs the first usage data acquired from the terminal into a user type identification model, and the user type identification model outputs a tag according to the first usage data, wherein the tag is used for indicating a target user type to which a user belongs, and the target user type is a heavy user type or a non-heavy user type.

For example, assuming that the terminal is a mobile phone, the first usage data acquired by the mobile phone is data generated by a user acting on the mobile phone in a day before the current time, the mobile phone inputs the first usage data of the mobile phone into the user type identification model, and the user type identification model outputs a tag according to the first usage data acquired by the mobile phone, where the tag is used to indicate a target user type to which the user belongs, that is, a heavy user type or a non-heavy user type.

It should be noted that the terminal may adjust the preset duration corresponding to the first usage data, for example, when the user uses the terminal initially, the terminal may obtain the first usage data of the user once a day, and then the terminal determines the type of the target user to which the user belongs according to the first usage data every day. After a plurality of days, the terminal can acquire the first use data of the user once every week, and then the terminal determines the type of the target user to which the user belongs according to the first use data every week.

Optionally, after step 305, the terminal may further update the user type identification model with the collected first usage data, and then determine a target user type to which the user belongs using the updated user type identification model, where the updated user type identification model is obtained based on the user's own data of the terminal, so that the terminal is more suitable for the user's habit and more personalized. The step 302 may be referred to in the updating process, and details thereof are not described in this disclosure.

In step 306, the terminal queries a preset corresponding relationship between the user type and the configuration information of the terminal according to the target user type of the user, so as to obtain target configuration information corresponding to the target user type.

In the embodiment of the present disclosure, the terminal stores a corresponding relationship between a user type and configuration information of the terminal, and for example, the configuration information of the terminal may include performance configuration information and power consumption configuration information. For example, the performance configuration information may include a frequency of a Central Processing Unit (CPU), and the power consumption configuration information may include a limit temperature at which the terminal operates. The frequency of the CPU determines the running speed of the terminal, and the higher the frequency of the CPU is, the faster the running speed of the terminal is. The working limit temperature of the terminal determines the normal working time of the terminal, and the higher the limit temperature is, the longer the normal working time of the terminal is.

Table 1 exemplarily shows a correspondence relationship between a user type and configuration information of a terminal. And when the target user type to which the user belongs is a heavy user type, the corresponding target configuration information is AA. By way of example, AA may be: the frequency of the CPU is 2.2Ghz and the limit temperature of the terminal operation is 45 ℃.

TABLE 1

Assuming that the target user type to which the user belongs is a non-heavy user type, the terminal may obtain target configuration information BB corresponding to the target user type by looking up table 1. For example, BB may be: the frequency of the CPU is 1.7Ghz, and the limit temperature of the terminal operation is 35 ℃.

In step 307, when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time to the target configuration information.

For example, assuming that the configuration information of the terminal at the current time is BB, if the terminal determines that the target user type to which the user belongs is the heavy user type according to the first usage data, the terminal lookup table 1 may obtain that the target configuration information corresponding to the target user type is AA, and the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information BB at the current time to the target configuration information AA. Suppose BB is: the frequency of the CPU is 2Ghz, and the limit temperature of the terminal operation is 35 ℃. AA is: the frequency of the CPU is 2.7Ghz, and the limit temperature of the terminal operation is 45 ℃. After the terminal changes the configuration information BB at the current moment into the target configuration information AA, the running speed of the terminal is faster and the performance of the terminal is higher because the frequency of the CPU is changed from 2Ghz to 2.7Ghz, and the normal operation time of the terminal is longer because the limit temperature of the terminal operation is changed from 35 ℃ to 45 ℃. If the user plays games by using the terminal, after the terminal changes the current configuration information BB into the target configuration information AA, the frequency of the CPU is increased, the working limit temperature of the terminal is increased, the user plays games more smoothly, the playing time is longer, and the user experience is greatly improved.

It should be noted that, if the target user type to which the user belongs, which is determined by the terminal according to the first usage data, is a non-heavy user type, and the first usage data is data generated by the user acting on the terminal in a day before the current time, when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time to the target configuration information BB, and assuming that after one week, the target user type to which the user belongs, which is determined by the terminal based on the data generated by the user acting on the terminal in the week, is a heavy user type, the terminal changes the configuration information BB to the target configuration information AA. Namely, the terminal can dynamically adjust the configuration information of the terminal based on the use condition of the user, and the use flexibility of the terminal is improved.

It should be noted that, the steps 304 to 307 may be periodically executed at a preset time interval (the execution process is automatic), for example, the time interval is 1 day or 1 minute, and the steps 304 to 307 may also be executed after the user triggers, for example, after the terminal receives a terminal control command triggered by the user, which is not limited in the embodiment of the present disclosure.

To sum up, in the terminal control method provided in the embodiment of the present disclosure, the management server establishes the user type identification model according to the usage data of the terminal and the user type to which each user belongs, and sends the user type identification model to the terminal, the terminal obtains the first usage data, determines the target user type to which the user belongs based on the user type identification model, and then determines the target configuration information corresponding to the target user type, and then, when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time into the target configuration information. The method can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

In the second execution scenario, the terminal executes the terminal control method by itself. As shown in fig. 5, fig. 5 is a flowchart illustrating still another terminal control method according to an exemplary embodiment. The terminal control method can comprise the following steps:

in step 401, the terminal obtains first usage data, where the first usage data is data generated by a user acting on the terminal within a preset time period before a current time.

The first usage data may include: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal. For example, the preset duration is one day. For a corresponding explanation, reference may be made to step 301 above, which is not described in detail in this disclosure.

In step 402, when the first usage data satisfies the target identification condition, the terminal determines that the target user type to which the user belongs is a heavy user type.

In the embodiment of the disclosure, the staff member may write verification data in the terminal in a manual manner, the verification data is used for indicating the target identification condition, and the verification data is used for enabling the terminal to determine the target user type to which the user belongs according to the first usage data. The target recognition condition includes at least one of: the number of times that the screen of the terminal is touched belongs to a preset number range, the switching frequency of the applications of the terminal belongs to a preset frequency range, the number of the applications opened by the terminal belongs to a preset number range, the memory consumption value of the terminal belongs to a preset consumption range, and the temperature of the battery of the terminal belongs to a preset temperature law. And when the first usage data meets the target identification condition, determining that the target user type to which the user belongs is a heavy user type.

For example, the preset time duration is one day, the preset number of times that the screen of the terminal is touched is within a range of (5000, infinity), and if the number of times that the user touches the terminal in one day before the current time is 5500 times, the terminal may determine that the target user type to which the user belongs is a heavy user type because 5500 is greater than 5000.

For example, if the preset frequency range of the application of the terminal is (70, + ∞), the frequency of switching the application by the user in the day before the current time is 80, and since 80>70, the terminal can determine that the target user type to which the user belongs is a heavy user type.

For example, if the preset number of applications opened by the terminal is within the range of (9, + ∞), the number of applications opened by the user in the day before the current time is 10, and since 10>9, the terminal can determine that the target user type to which the user belongs is the heavy user type.

For example, if the preset memory consumption range of the terminal is (1, + ∞), the memory consumption value of the terminal used by the user in one day before the current time is 1.1G (the memory consumption value of the terminal is in G), and since 1.1>1, the terminal can determine that the target user type to which the user belongs is a heavy user type.

For example, if the preset temperature rule of the battery of the terminal is that the temperature of the battery continuously increases, the temperature of the battery of the terminal used by the user in the day before the current time is 20 ℃, 30 ℃, 35 ℃ and 40 ℃, and the terminal may determine that the target user type to which the user belongs is the heavy user type because the temperature of the battery of the terminal used by the user continuously increases.

In step 403, when the first usage data does not satisfy the target identification condition, the terminal determines that the target user type to which the user belongs is a non-heavy user type.

For example, assuming that the preset time period is one day, the preset number of times that the screen of the terminal is touched is in the range of (5000, + ∞), and if the number of times that the user touches the terminal in the day before the current time is 1000, the number of times that the screen of the terminal is touched does not belong to the preset number of times since 1000< 5000.

For example, assuming that the preset time period is one day and the preset frequency range of the application of the terminal is (70, + ∞), the frequency of switching the application by the user in one day before the current time is 40, and since 40<70, the switching frequency of the application of the terminal does not belong to the preset frequency range.

For example, assuming that the preset time duration is one day and the preset number range of applications opened by the terminal is (9, + ∞), the number of applications opened by the user in the current day before the current time is 5, and since 5<9, the number of applications opened by the terminal does not belong to the preset number range.

For example, assuming that the preset duration is one day and the preset consumption range of the memory of the terminal is (1, + ∞), the memory consumption value of the terminal used by the user in one day before the current time is 0.01G (the consumption value of the memory of the terminal is in G unit), and the memory consumption value of the terminal does not belong to the preset consumption range because 0.01< 1.

For example, assuming that the preset time period is one day and the preset temperature rule of the battery of the terminal is that the temperature of the battery continuously increases, the temperature of the battery of the terminal used by the user in the day before the current time is 10 ℃, 13 ℃, 15 ℃, 10 ℃ and 12 ℃, and the temperature of the battery of the terminal does not belong to the preset temperature rule because the temperature of the battery of the terminal used by the user does not continuously increase.

Since the first usage data does not satisfy any one of the target recognition conditions, the terminal may determine that the target user type to which the user belongs is a non-heavy user type.

In step 404, the terminal queries a preset corresponding relationship between the user type and the configuration information of the terminal according to the target user type of the user, so as to obtain target configuration information corresponding to the target user type.

This step can refer to step 306 in the embodiment shown in fig. 4, and is not described herein again.

In step 405, when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time to the target configuration information.

This step can refer to step 307 in the embodiment shown in fig. 4, and is not described herein again.

To sum up, according to the terminal control method provided by the embodiment of the present disclosure, the terminal can determine the type of the target user to which the user belongs according to the data pre-stored locally, then determine the target configuration information corresponding to the type of the target user, and change the configuration information at the current time into the target configuration information when the configuration information of the terminal at the current time is different from the target configuration information. The method can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

It should be noted that, the sequence of the steps of the terminal control method provided in the embodiment of the present disclosure may be appropriately adjusted, and the steps may also be increased or decreased according to the circumstances, and any method that can be easily conceived by a person skilled in the art within the technical scope of the present disclosure is included in the protection scope of the present disclosure, and therefore, the description is omitted.

The embodiment of the present disclosure provides a terminal control apparatus 50, which is used for a terminal 110 in the implementation environment shown in fig. 1, and as shown in fig. 6, the apparatus 50 includes: an acquisition module 501, a determination module 502, a query module 503, and a modification module 504.

The obtaining module 501 is configured to obtain first usage data, where the first usage data is data generated by a user acting on a terminal within a preset time period before a current time.

A determining module 502 configured to determine a target user type to which the user belongs according to the first usage data.

The query module 503 is configured to query a preset correspondence between the user type and the configuration information of the terminal according to the target user type of the user, so as to obtain target configuration information corresponding to the target user type.

A changing module 504 configured to change the configuration information at the current time to the target configuration information when the configuration information at the current time of the terminal is different from the target configuration information.

To sum up, in the terminal control device provided in the embodiment of the present disclosure, the obtaining module obtains the first usage data, the determining module determines a target user type to which the user belongs, the querying module determines target configuration information corresponding to the target user type, and the changing module changes the configuration information at the current time into the target configuration information when the configuration information of the terminal at the current time is different from the target configuration information. The device can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

Optionally, the target user type is a heavy user type or a non-heavy user type, and the determining module 502 is configured to:

The present disclosure provides another terminal control apparatus 60 for a management server 120 in the implementation environment shown in fig. 1, and as shown in fig. 7, the apparatus 60 includes: an obtaining module 601, a building module 602 and a sending module 603.

The obtaining module 601 is configured to obtain usage data of a plurality of users for a terminal to be monitored and a user type to which each user belongs.

The establishing module 602 is configured to establish a user type identification model according to the usage data of the plurality of users for the terminal and the user type to which each user belongs.

The sending module 603 is configured to send the user type identification model to the terminal, where the terminal is configured to determine a target user type to which the user belongs based on the user type identification model according to first usage data, where the first usage data is data generated by the user acting on the terminal within a preset time before the current time.

To sum up, in the terminal control device provided in the embodiment of the present disclosure, the establishing module establishes the user type identification model according to the usage data of the terminal by the plurality of users and the user type to which each user belongs, and then the sending module sends the user type identification model to the terminal, so that the terminal determines the target user type to which the user belongs based on the user type identification model, and when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time into the target configuration information. The device can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

Optionally, the establishing module 602 is configured to:

The embodiment of the present disclosure further provides a terminal control device, including:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

To sum up, in the terminal control device provided in the embodiment of the present disclosure, the processor obtains the first usage data, determines the type of the target user to which the user belongs, then determines the target configuration information corresponding to the type of the target user, and then, when the configuration information of the terminal at the current time is different from the target configuration information, the processor changes the configuration information at the current time into the target configuration information. The device can dynamically adjust the configuration information of the processor based on the use condition of a user, and improves the use flexibility of the processor.

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

To sum up, in the terminal control device provided in the embodiment of the present disclosure, the processor establishes the user type identification model according to the usage data of the terminal by the plurality of users and the user type to which each user belongs, and then the processor sends the user type identification model to the terminal, so that the terminal determines the target user type to which the user belongs based on the user type identification model, and when the configuration information of the terminal at the current time is different from the target configuration information, the terminal changes the configuration information at the current time into the target configuration information. The device can dynamically adjust the configuration information of the terminal based on the use condition of the user, and improves the use flexibility of the terminal.

The present disclosure provides a storage medium, which may be a non-volatile storage medium, and the storage medium stores instructions that, when the storage medium runs on a processing component, cause the processing component to execute the terminal control method shown in fig. 2, fig. 4, or fig. 5.

The present disclosure provides a storage medium, which may be a non-volatile storage medium, and the storage medium stores instructions that, when the storage medium runs on a processing component, cause the processing component to execute the terminal control method shown in fig. 3 or fig. 4.

The embodiment of the present disclosure provides a terminal control system, which includes:

among them, the terminal may include the terminal control device 50 shown in fig. 6, and the management server may include the terminal control device 60 shown in fig. 7.

Fig. 8 is a block diagram illustrating yet another apparatus 700 for terminal control according to an example embodiment. The apparatus 700 may be a smart phone, a tablet computer, or a wearable device.

Referring to fig. 8, apparatus 700 may include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714, and a communication component 716.

The processing component 702 generally controls overall operation of the device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 702 may include one or more processors 720 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 702 may include one or more modules that facilitate interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.

The memory 704 is configured to store various types of data to support operations at the apparatus 700. Examples of such data include instructions for any application or method operating on device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 704 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 706 provides power to the various components of the device 700. The power components 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 700.

The multimedia component 708 includes a screen that provides an output interface between the device 700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 710 is configured to output and/or input audio signals. For example, audio component 710 includes a Microphone (MIC) configured to receive external audio signals when apparatus 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 704 or transmitted via the communication component 716. In some embodiments, audio component 710 also includes a speaker for outputting audio signals.

The I/O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 714 includes one or more sensors for providing status assessment of various aspects of the apparatus 700. For example, sensor assembly 714 may detect an open/closed state of device 700, the relative positioning of components, such as a display and keypad of device 700, sensor assembly 714 may also detect a change in position of device 700 or a component of device 700, the presence or absence of user contact with device 700, orientation or acceleration/deceleration of device 700, and a change in temperature of device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 716 is configured to facilitate wired or wireless communication between the apparatus 700 and other devices. The apparatus 700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 716 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the terminal control methods illustrated in fig. 2, 4 or 5 described above.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 704 comprising instructions, executable by the processor 720 of the device 700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium, wherein instructions, when executed by a processor of the apparatus 700, enable the apparatus 700 to perform the terminal control method described above with reference to fig. 2, 4 or 5.

Fig. 9 is a block diagram illustrating an apparatus 800 for terminal control according to an example embodiment. For example, the apparatus 800 may be provided as a management server. Referring to FIG. 9, the apparatus 800 includes a processing component 822, which further includes one or more processors and memory resources, represented by memory 832, for storing instructions, such as application programs, that are executable by the processing component 822. The application programs stored in memory 832 may include one or more modules that each correspond to a set of instructions. Further, the processing component 822 is configured to execute instructions to perform the terminal control method illustrated in fig. 3 or fig. 4 described above.

The device 800 may also include a power component 826 configured to perform power management of the device 800, a wired or wireless network interface 850 configured to connect the device 800 to a network, and an input/output (I/O) interface 858. The apparatus 800 may operate based on an operating system stored in the memory 832, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.

The embodiment of the present disclosure provides a terminal control system, which includes: a terminal and a management server, wherein the management server is connected with the terminal,

the terminal may include the terminal control device 700 shown in fig. 8, and the management server may include the terminal control device 800 shown in fig. 9.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A terminal control method, comprising:

acquiring first use data, wherein the first use data are generated by a user acting on a terminal within a preset time before the current time, and the first use data comprise: the number of times a screen of the terminal is touched, the switching frequency of applications of the terminal, the number of applications opened by the terminal, the memory consumption value of the terminal and the temperature of a battery of the terminal;

determining a target user type to which the user belongs according to the first usage data, wherein the target user type is a heavy user type or a non-heavy user type;

when the configuration information of the terminal at the current moment is different from the target configuration information, changing the configuration information of the current moment into the target configuration information;

the determining the type of the target user to which the user belongs according to the first usage data includes:

receiving a user type identification model sent by a management server, wherein the user type identification model is established by the management server according to the use data of a plurality of users for the terminal and the user type of each user, and the target user type of the user is determined according to the first use data and based on the user type identification model;

or, when the first usage data meets a target identification condition, determining that a target user type to which the user belongs is a heavy user type, where the target identification condition includes:

the temperature of the battery of the terminal belongs to a preset temperature rule;

2. The method of claim 1, further comprising:

updating the user type identification model based on the first usage data.

3. The method of claim 1, wherein the configuration information of the terminal comprises performance configuration information and power consumption configuration information.

4. The method of claim 3, wherein the performance configuration information comprises a frequency of a central processing unit of the terminal, and wherein the power consumption configuration information comprises a limit temperature at which the terminal operates.

5. The method of claim 1, wherein the terminal usage frequency of the heavy user type users is higher than the terminal usage frequency of the non-heavy user type users.

6. A terminal control method, comprising:

acquiring use data of a plurality of users for a terminal to be monitored and a user type of each user;

establishing a user type identification model according to the use data of the plurality of users for the terminal and the user type of each user;

sending the user type identification model to the terminal, wherein the terminal is used for determining a target user type to which a user belongs based on the user type identification model according to first use data, the first use data are data generated by the user acting on the terminal within a preset time before the current time, and the first use data comprise: the number of times a screen of the terminal is touched, the switching frequency of applications of the terminal, the number of applications opened by the terminal, the memory consumption value of the terminal, and the temperature of a battery of the terminal.

7. The method of claim 6,

the establishing of the user type identification model according to the usage data of the plurality of users for the terminal and the user type to which each user belongs comprises:

and establishing the user type identification model according to the use data of the plurality of users aiming at the terminal and the user type of each user by adopting a machine learning algorithm.

8. The method according to claim 6 or 7, wherein the usage data comprises: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal.

9. A terminal control apparatus, comprising:

an obtaining module, configured to obtain first usage data, where the first usage data is data generated by a user acting on a terminal within a preset time before a current time, and the first usage data includes: the number of times a screen of the terminal is touched, the switching frequency of applications of the terminal, the number of applications opened by the terminal, the memory consumption value of the terminal and the temperature of a battery of the terminal;

a determining module configured to determine a target user type to which the user belongs according to the first usage data, wherein the target user type is a heavy user type or a non-heavy user type;

the query module is configured to query a preset corresponding relation between the user type and the configuration information of the terminal according to the target user type of the user to obtain target configuration information corresponding to the target user type;

a changing module configured to change the configuration information of the current time to the target configuration information when the configuration information of the terminal at the current time is different from the target configuration information;

the determination module configured to:

10. The apparatus of claim 9, wherein the configuration information of the terminal comprises performance configuration information and power consumption configuration information.

11. A terminal control apparatus, comprising:

the establishing module is configured to establish a user type identification model according to the use data of the plurality of users for the terminal and the user type of each user;

a sending module, configured to send the user type identification model to the terminal, where the terminal is configured to determine a target user type to which a user belongs based on the user type identification model according to first usage data, where the first usage data is data generated by the user acting on the terminal within a preset time period before a current time, and the first usage data includes: the number of times a screen of the terminal is touched, the switching frequency of applications of the terminal, the number of applications opened by the terminal, the memory consumption value of the terminal, and the temperature of a battery of the terminal.

12. The apparatus of claim 11,

the setup module configured to:

13. The apparatus of claim 11 or 12, wherein the usage data comprises: at least one of a number of times a screen of the terminal is touched, a switching frequency of applications of the terminal, a number of applications opened by the terminal, a memory consumption value of the terminal, and a temperature of a battery of the terminal.

14. A terminal control apparatus, comprising:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

15. A terminal control apparatus, comprising:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

16. A storage medium having stored therein instructions that, when run on a processing component, cause the processing component to execute the terminal control method according to any one of claims 1 to 5;

or cause the processing component to perform a terminal control method as claimed in any one of claims 6 to 8.

17. A terminal control system, comprising:

the terminal comprises the terminal control device of claim 9 or 10, the management server comprises the terminal control device of any one of claims 11 to 13;

alternatively, the terminal includes the terminal control apparatus of claim 14, and the management server includes the terminal control apparatus of claim 15.