WO2020207316A1

WO2020207316A1 - Device resource configuration method and apparatus, storage medium and electronic device

Info

Publication number: WO2020207316A1
Application number: PCT/CN2020/082820
Authority: WO
Inventors: 何明; 陈仲铭; 黄粟; 刘耀勇; 陈岩
Original assignee: Oppo广东移动通信有限公司
Priority date: 2019-04-09
Filing date: 2020-04-01
Publication date: 2020-10-15
Also published as: CN111796927B; CN111796927A

Abstract

A device resource configuration method, comprising: receiving a resource configuration information set sent by a server, the resource configuration information set comprising scenario category information of a user and corresponding resource configuration information (101); acquiring current state information of an electronic device, and identifying current scenario category information of the user according to the state information (102); matching the corresponding resource configuration information in the resource configuration information set according to the current scenario category information (103); and configuring the electronic device according to the resource configuration information (104).

Description

Device resource allocation method, device, storage medium and electronic equipment

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on April 9, 2019, the application number is 201910282433.3, and the invention title is "equipment resource allocation method, device, storage medium and electronic equipment", the entire content of which is incorporated by reference Incorporated in this application.

Technical field

This application belongs to the technical field of electronic equipment, and in particular relates to a method, device, storage medium and electronic equipment for configuring equipment resources.

Background technique

With the development of electronic technology, electronic devices such as smart phones are becoming more and more intelligent. Different scenarios of users have different requirements for corresponding services such as resources and applications of electronic devices. For example, users have different requirements for electronic devices in different scenarios such as travel, office and games. , Intelligent scheduling of the user's mobile device resources. Current electronic equipment resource scheduling schemes are mainly based on rules (such as black and white lists), that is, when to call which resources are manually determined. On the one hand, the adaptability and robustness are poor, and on the other hand, they are not intelligent and accurate enough to make the final resource. The scheduling scheme is difficult to meet the actual application requirements.

Summary of the invention

This application provides a device resource configuration method, device, storage medium, and electronic device, which can improve the accuracy of the device resource allocation by the electronic device.

In the first aspect, an embodiment of the present application provides a device resource configuration method applied to an electronic device, including:

Receiving a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information;

Acquiring current state information of the electronic device, and identifying the user's current situation category information according to the state information;

Matching corresponding resource configuration information in the resource configuration information set according to the current situation category information;

Setting the electronic device according to the resource configuration information.

In the second aspect, an embodiment of the present application provides a device resource configuration method applied to a server, including:

Receiving user scenario category information and corresponding resource configuration information sent by multiple electronic devices;

Determining the target resource configuration information corresponding to each of the user scenario category information according to a preset algorithm;

Generating a resource configuration information set according to the multiple user scenario category information and corresponding target resource configuration information;

Sending the resource configuration information set to the electronic device.

In a third aspect, an embodiment of the present application provides a device resource configuration device, which is applied to an electronic device, and includes: an acquisition module, an identification module, a matching module, and a setting module;

The acquisition module is configured to receive a resource configuration information set sent by a server, the resource configuration information set includes user scenario category information and corresponding resource configuration information;

The identification module is used to obtain the current state information of the electronic device, and identify the current situation category information of the user according to the state information;

The matching module is configured to match corresponding resource configuration information in the resource configuration information set according to the current situation category information;

The setting module is configured to set the electronic device according to the resource configuration information.

In a fourth aspect, an embodiment of the present application provides a device resource configuration device, which is applied to a server and includes: a receiving module, a determining module, a generating module, and a sending module;

The receiving module is configured to receive user context category information and corresponding resource configuration information sent by multiple electronic devices;

The determining module is configured to determine the target resource configuration information corresponding to each user scenario category information according to a preset algorithm;

The generating module is configured to generate a resource configuration information set according to the multiple user scenario category information and corresponding target resource configuration information.

The sending module is configured to send the resource configuration information set to an electronic device.

In a fifth aspect, an embodiment of the present application provides a storage medium on which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the above-mentioned device resource configuration method.

In a sixth aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, the memory stores a plurality of instructions, and the processor loads the instructions in the memory to perform the following steps:

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

Figure 1 is a schematic diagram of an application scenario of a device resource configuration method provided by an embodiment of the application.

FIG. 2 is a schematic flowchart of a method for configuring device resources provided by an embodiment of the application.

FIG. 3 is a schematic diagram of another flow of a device resource configuration method provided by an embodiment of the application.

FIG. 4 is a schematic diagram of another flow of the device resource configuration method provided by an embodiment of the application.

FIG. 5 is a schematic structural diagram of a device resource configuration apparatus provided by an embodiment of the application.

FIG. 6 is a schematic diagram of another structure of the device resource configuration apparatus provided by an embodiment of the application.

FIG. 7 is another schematic structural diagram of the device resource configuration apparatus provided by an embodiment of the application.

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

FIG. 9 is a schematic diagram of another structure of an electronic device provided by an embodiment of the application.

detailed description

Please refer to the drawings, in which the same component symbols represent the same components, and the principle of the present application is implemented in an appropriate computing environment for illustration. The following description is based on the exemplified specific embodiments of the present application, which should not be regarded as limiting other specific embodiments that are not described in detail herein.

In the following description, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be mentioned several times as being executed by a computer. The computer execution referred to in this article includes the operation of a computer processing unit that represents an electronic signal of data in a structured form. This operation converts the data or maintains it in a position in the computer's memory system, which can be reconfigured or otherwise changed the operation of the computer in a manner well known to testers in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principle of this application is described in the above text, which does not represent a limitation. Testers in the field will understand that the various steps and operations described below can also be implemented in hardware.

The terms "first", "second" and "third" in this application are used to distinguish different objects, rather than describing a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but some embodiments also include steps or modules that are not listed, or some embodiments It also includes other steps or modules inherent to these processes, methods, products, or equipment.

Referring to FIG. 1, FIG. 1 is a schematic diagram of an application scenario of a device resource configuration method provided by an embodiment of the application. The device resource configuration method is applied to electronic devices. The electronic device is provided with a panoramic sensing architecture. The panoramic perception architecture is the integration of hardware and software used to implement the device resource configuration method in an electronic device.

Among them, the panoramic perception architecture includes an information perception layer, a data processing layer, a feature extraction layer, a scenario modeling layer, and an intelligent service layer.

The information perception layer is used to obtain the information of the electronic device itself or the information in the external environment. The information perception layer may include multiple sensors. For example, the information sensing layer includes multiple sensors such as a distance sensor, a magnetic field sensor, a light sensor, an acceleration sensor, a fingerprint sensor, a Hall sensor, a position sensor, a gyroscope, an inertial sensor, a posture sensor, a barometer, and a heart rate sensor.

Among them, the distance sensor can be used to detect the distance between the electronic device and an external object. The magnetic field sensor can be used to detect the magnetic field information of the environment in which the electronic device is located. The light sensor can be used to detect the light information of the environment in which the electronic device is located. The acceleration sensor can be used to detect the acceleration data of the electronic device. The fingerprint sensor can be used to collect the user's fingerprint information. Hall sensor is a kind of magnetic field sensor made according to Hall effect, which can be used to realize automatic control of electronic equipment. The location sensor can be used to detect the current geographic location of the electronic device. Gyroscopes can be used to detect the angular velocity of electronic devices in various directions. Inertial sensors can be used to detect movement data of electronic devices. The attitude sensor can be used to sense the attitude information of the electronic device. The barometer can be used to detect the air pressure of the environment where the electronic device is located. The heart rate sensor can be used to detect the user's heart rate information.

The data processing layer is used to process the data obtained by the information perception layer. For example, the data processing layer can perform data cleaning, data integration, data transformation, and data reduction on the data acquired by the information perception layer.

Among them, data cleaning refers to cleaning up a large amount of data obtained by the information perception layer to eliminate invalid data and duplicate data. Data integration refers to the integration of multiple single-dimensional data acquired by the information perception layer into a higher or more abstract dimension to comprehensively process multiple single-dimensional data. Data transformation refers to the data type conversion or format conversion of the data acquired by the information perception layer, so that the transformed data meets the processing requirements. Data reduction means to minimize the amount of data while maintaining the original appearance of the data as much as possible.

The feature extraction layer is used to perform feature extraction on data processed by the data processing layer to extract features included in the data. The extracted features can reflect the state of the electronic device itself or the state of the user or the environmental state of the environment in which the electronic device is located.

Among them, the feature extraction layer can extract features or process the extracted features through methods such as filtering, packaging, and integration.

The filtering method refers to filtering the extracted features to delete redundant feature data. The packaging method is used to screen the extracted features. The integration method refers to the integration of multiple feature extraction methods to construct a more efficient and accurate feature extraction method for feature extraction.

The scenario modeling layer is used to construct a model based on the features extracted by the feature extraction layer, and the obtained model can be used to represent the state of the electronic device or the state of the user or the environment. For example, the scenario modeling layer can construct key value models, pattern identification models, graph models, entity connection models, object-oriented models, etc. based on the features extracted by the feature extraction layer.

The intelligent service layer is used to provide users with intelligent services based on the model constructed by the scenario modeling layer. For example, the intelligent service layer can provide users with basic application services, can perform system intelligent optimization for electronic devices, and can also provide users with personalized intelligent services.

In addition, the panoramic perception architecture may also include multiple algorithms, each of which can be used to analyze and process data, and the multiple algorithms can form an algorithm library. For example, the algorithm library may include Markov algorithm, implicit Dirichlet distribution algorithm, Bayesian classification algorithm, support vector machine, K-means clustering algorithm, K nearest neighbor classification algorithm, conditional random field, residual Algorithms such as difference network, long short-term memory network, convolutional neural network, recurrent neural network, etc.

The embodiment of the application provides a device resource configuration method. The execution subject of the device resource configuration method may be the device resource configuration device provided in the embodiment of the application, or an electronic device integrated with the device resource configuration device, wherein the device resource configuration device The device can be implemented in hardware or software.

The embodiments of the present application will be described from the perspective of the device resource configuration apparatus, which may be specifically integrated in the electronic device. The device resource configuration method includes: receiving a resource configuration information set sent by a server, the resource configuration information set including user scenario category information and corresponding resource configuration information;

In an embodiment, the state information of the electronic device includes sensor information, and identifying the user's current situation category information according to the state information includes:

Processing the sensor information according to a preset algorithm model to obtain the probabilities corresponding to various scene category information;

Determine the user's current situation category information according to the probability.

In an embodiment, processing the sensor information according to a preset algorithm model includes:

Performing vectorization processing on the sensor information to obtain a sensor vector;

Superimpose the sensor vectors to obtain a sensor tensor;

The sensor tensor is processed according to the preset algorithm model.

In an embodiment, setting the electronic device according to the resource configuration information includes:

Acquiring device resources included in the resource configuration information and target parameters corresponding to the device resources;

The device resource is set according to the target parameter.

In an embodiment, setting the device resource according to the target parameter includes:

Determine whether the current parameter of the device resource is the same as the target parameter;

If not, the current parameter of the device resource is adjusted to the target parameter.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of a device resource configuration method provided by an embodiment of the application. The device resource configuration method provided by the embodiment of the application is applied to an electronic device, and the specific process may be as follows:

Step 101: Receive a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information.

In one embodiment, the server receives user scenario category information and corresponding resource configuration information sent by multiple users, obtains the optimal resource configuration information corresponding to different scenario category information through learning, and then sends it to the electronic device, and the electronic The device selects the corresponding best resource configuration information according to the current user scenario category information.

In an embodiment, the above-mentioned user situation category information may be the user's state information, such as sleep, office, travel, games, driving, fitness, etc. Further, the above-mentioned situation category information may also include location information, such as at home or In the work place, etc., the home and work place can be determined by analyzing the historical location information of the user, which is not further limited here. It should be noted that the above-mentioned user situation category information does not conflict with each other, that is, the user can satisfy multiple above-mentioned user situation category information at the same time, for example, the user plays games at home, or the user works at the work place. Among them, each user scenario category information corresponds to a kind of resource configuration information.

In an embodiment, the foregoing resource configuration information may include setting information of device resources in the terminal, and the device resources include information such as CPU (Central Processing Unit, central processing unit), GPU (Graphics Processing Unit), memory, and network. Speed and so on, among them, different resource allocation schemes will bring different performance and power consumption to electronic devices. The above resource configuration information may also include some setting information of the electronic device, such as GPS settings, Bluetooth settings, NFC settings, WIFI settings, and so on. For example, the user's situation category information includes when at home, the corresponding resource configuration information may include turning on WIFI and turning off the mobile network. If the user's situation category information includes traveling, the corresponding resource configuration information may include turning on GPS.

Step 102: Acquire current state information of the electronic device, and identify the user's current situation category information according to the state information.

In an embodiment, the current state information of the above electronic device may include system operation information and sensor information of the electronic device, and so on. Among them, the electronic device has built-in sensors with different functions, and these sensors can detect the current state of the electronic device at any time. As an embodiment of the present application, the motion state of the electronic device can be detected by an acceleration sensor (G-Sensor) and a gyroscope. The acceleration sensor may be a three-axis linear acceleration sensor, which is used to detect linear accelerations in three mutually orthogonal axes of the electronic device. The gyroscope is used to detect the upward rotation speed of the three mutually orthogonal axes of the electronic device. If the value detected by the acceleration sensor and the gyroscope within a unit time does not change, the electronic device is considered to be in a static state. As long as a value of the acceleration sensor and gyroscope changes in a unit of time, the electronic device can be considered to be in motion, and then the user’s current situation category information can be identified based on the status information. For example, when the electronic device is in motion, the current speed can be Determine whether the user is walking or driving. In addition, the electronic device can also detect the intensity of ambient light through the light sensor. Regarding the working principles of the acceleration sensor, the gyroscope, and the light sensor, reference may be made to the prior art, which will not be repeated here.

In one embodiment, on the basis of obtaining the status information of the electronic device, environmental information and user information may be further obtained. The environmental information may include weather, temperature, time, etc., and the user information may include age, gender, behavior records, etc. , Through the current state information of the electronic device and the aforementioned environmental information and user information, the user’s current situation category information is comprehensively identified, which further improves the accuracy of recognition.

In an embodiment, after obtaining the current state information of the electronic device, the information may be input into the scene category prediction model to predict the user's scene category information. Among them, the output result of the above scenario category prediction model may be multiple scenarios and corresponding probabilities, and the highest probability may be selected as the prediction result.

Step 103: Match the corresponding resource configuration information in the resource configuration information set according to the current situation category information.

In one embodiment, after obtaining the user's current scenario category information, the resource configuration information set sent by the receiving server is searched for a sample that is the same as the current scenario category information, and then the resource configuration information corresponding to the sample is obtained.

It should be noted that, because the resource configuration information collection obtained from the server contains many user scenario category information and corresponding resource configuration information, and some of the scenario category information has never or rarely matched the current user, for example, the current user If you basically do not play games, you can delete the situation category information from the resource configuration information set, thereby improving the matching efficiency. Specifically, the user’s commonly used scenario category information can be determined according to the user’s usage information within a preset time period and the frequency of use, and then after the resource configuration information collection sent by the server is obtained, only the aforementioned common scenario category information and corresponding Resource configuration information is sufficient.

Step 104: Set the electronic device according to the resource configuration information.

Specifically, related parameters in the electronic device are set according to the above resource configuration information, such as limiting the CPU frequency, limiting the current network speed, turning on the WIFI switch, and so on. In an embodiment, before setting the electronic device according to the resource configuration information, prompt information may be generated according to the setting information contained in the resource configuration information for the user to confirm the selection, which can avoid misoperation.

For example, when the current situation category information of the electronic device includes the scene at home, the corresponding resource configuration information can include turning on the WIFI switch. At this time, the electronic device will automatically connect to the home network hotspot. After the connection is completed, the mobile of the electronic device can also be turned off. Network to save user traffic. Among them, before turning on the WIFI switch, the user can be prompted in the form of a pop-up window to choose whether to turn on the WIFI switch. For example, when the mobile network speed of the electronic device is higher than the network speed after connecting to the WIFI and the remaining mobile network traffic is large , Users can choose not to turn on the WIFI switch and continue to use mobile network data, which provides users with more choices.

It can be seen from the above that the device resource configuration method provided by the embodiment of the present application can receive the resource configuration information set sent by the server. The resource configuration information set includes the user's situation category information and corresponding resource configuration information, obtains the current state information of the electronic device, and Identify the user's current situation category information according to the status information, match the corresponding resource configuration information in the resource configuration information set according to the current situation category information, and set the electronic device according to the resource configuration information. The embodiments of the present application can intelligently identify the current situation category information, and generate a corresponding resource configuration scheme based on the situation category information to set the electronic device, which can significantly improve the accuracy of device resource allocation and the pertinence of resource utilization.

On the basis of the method described in the foregoing embodiment, the cleaning method of the present application will be further introduced below. Referring to FIG. 3, FIG. 3 is a schematic diagram of another process of a device resource configuration method provided by an embodiment of the application. The device resource configuration method includes:

Step 201: Receive a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information.

Step 202: Acquire current sensor information of the electronic device, and process the sensor information according to a preset algorithm model to obtain probabilities corresponding to various types of scene information.

Step 203: Determine the user's current scene category information according to the probability.

For example, electronic devices have built-in sensors with different functions, and these sensors can detect the current state of the electronic device at any time. As an embodiment of the present application, the current sensor information of the electronic device can be obtained, and then a preset prediction model can be input to obtain the probabilities corresponding to various scene category information, and the user's current scene category information can be determined according to the probability. For example, the situation category information with the highest probability.

In an embodiment, the foregoing processing of the sensor information according to a preset algorithm model includes:

Superimpose the sensor vectors to obtain a sensor tensor;

The sensor tensor is processed according to the preset algorithm model.

In an embodiment, the motion state of the electronic device can be detected by an acceleration sensor (G-Sensor) and a gyroscope. The acceleration sensor may be a three-axis linear acceleration sensor, which is used to detect linear accelerations in three mutually orthogonal axes of the electronic device. The gyroscope is used to detect the upward rotation speed of the three mutually orthogonal axes of the electronic device. If the value detected by the acceleration sensor and the gyroscope within a unit time does not change, the electronic device is considered to be in a static state. As long as a value of the acceleration sensor and the gyroscope changes within a unit time, the electronic device can be considered to be in a motion state, and then the user's current situation category information can be identified according to the state information. In addition, the electronic device can also detect the intensity of ambient light through the light sensor. Regarding the working principles of the acceleration sensor, the gyroscope, and the light sensor, reference may be made to the prior art, which will not be repeated here.

Step 204: Match the corresponding resource configuration information in the resource configuration information set according to the current situation category information.

Among them, the above resource configuration information may include the setting information of the device resources in the terminal. The device resources include such as CPU, GPU, memory, network speed, etc., among which, different resource configuration schemes will bring different performance and functions to the electronic device. Consumption. The above resource configuration information may also include some setting information of the electronic device, such as GPS settings, Bluetooth settings, NFC settings, WIFI settings, and so on.

Step 205: Obtain device resources included in the resource configuration information and target parameters corresponding to the device resources.

Step 206: Set the device resource according to the target parameter.

Specifically, set relevant device resources and corresponding target parameters according to the above resource configuration information, such as setting the CPU frequency to 2.5GHz, limiting the current network speed to 1M/s, setting the screen resolution to 2220×1080, and so on. The aforementioned device resource may also be a setting in an electronic device, and its corresponding target parameter may be a setting state, such as turning on the WIFI switch, turning off Bluetooth, and so on.

In an embodiment, the step of setting the device resource according to the target parameter may include:

In an embodiment, before setting the electronic device according to the resource configuration information, prompt information may be generated according to the setting information contained in the resource configuration information for the user to confirm the selection, which can avoid misoperation.

It can be seen from the above that the device resource configuration method provided by the embodiment of the present application can receive the resource configuration information set sent by the server. The resource configuration information set includes the user's situation category information and corresponding resource configuration information, and obtains the current sensor information of the electronic device according to The preset algorithm model processes the sensor information to obtain the probabilities corresponding to various scene category information, determines the user's current scene category information according to the probability, and matches the corresponding resource configuration information in the resource configuration information set according to the current situation category information. Obtain the device resource included in the resource configuration information and the target parameter corresponding to the device resource, and set the device resource according to the target parameter. The embodiments of the present application can intelligently identify the current situation category information, and generate a corresponding resource configuration scheme based on the situation category information to set the electronic device, which can significantly improve the accuracy of device resource allocation and the pertinence of resource utilization.

The embodiment of the present application also provides a device resource configuration method. The device resource configuration device may be specifically integrated in a server. The device resource configuration method includes:

Sending the resource configuration information set to the electronic device.

In an embodiment, the preset algorithm is a collaborative filtering algorithm.

Please refer to FIG. 4. FIG. 4 is another flowchart of the device resource configuration method provided by an embodiment of the application. The device resource configuration method includes:

Step 301: Receive user context category information and corresponding resource configuration information sent by multiple electronic devices.

Among them, the above-mentioned user situation category information may be the user's state information, such as sleep, office, travel, games, driving, fitness, etc. Further, the above-mentioned situation category information may also include location information, such as at home or at work, etc. , The home and work location can be determined by analyzing the user’s historical location information, which is not further limited here. The above resource configuration information may include setting information of device resources in the terminal. The device resources include CPU, GPU, memory, network speed, etc., where different resource configuration schemes will bring different performance and power consumption to electronic devices. The above resource configuration information may also include some setting information of the electronic device, such as GPS settings, Bluetooth settings, NFC settings, WIFI settings, and so on.

Step 302: Determine target resource configuration information corresponding to each user scenario category information according to a preset algorithm.

Specifically, the server receives the scenario category information uploaded by multiple electronic devices and the corresponding resource configuration information. Since each user has a different habit of using electronic devices, in the same scenario category, different users may be For different allocations, it is necessary to determine the target resource configuration information corresponding to each user scenario category information in the user big data.

In an embodiment, a collaborative filtering algorithm may be used to determine the target resource configuration information corresponding to each user context category information. Among them, the collaborative filtering algorithm discovers user preferences by mining user historical behavior data, divides users into groups based on different preferences, and recommends solutions with similar tastes. That is, in this embodiment, the resource configuration information set by most users under a situation category information is determined as the target resource configuration information.

Step 303: Generate a resource configuration information set according to multiple user scenario category information and corresponding target resource configuration information.

Wherein, the server receives user scenario category information and corresponding resource configuration information sent by multiple users, obtains corresponding optimal resource configuration information under different scenario category information through learning, and generates a resource configuration information set.

Step 304: Send the resource configuration information set to the electronic device.

In one embodiment, because the resource configuration information set obtained from the server contains many user scenario category information and corresponding resource configuration information, some of the scenario category information never or rarely matches the current user, for example, the current user If the user basically does not play games, he can delete the situation category information and the corresponding target resource configuration information from the resource configuration information collection, and then send the deleted resource configuration information collection to the electronic device, and the electronic device can perform matching. Improve matching efficiency.

It can be seen from the above that the device resource configuration method provided by the embodiment of the present application can receive user context category information and corresponding resource configuration information sent by multiple electronic devices, and determine the target resource configuration corresponding to each user context category information according to a preset algorithm Information, generating a resource configuration information set according to multiple user scenario category information and corresponding target resource configuration information, and sending the resource configuration information set to the electronic device. The embodiment of the present application can learn the best resource configuration information corresponding to each scenario category information by learning the scenario category information of multiple users and the corresponding resource configuration information, and generate the best resource configuration plan.

Please refer to FIG. 5, which is a schematic structural diagram of a device resource configuration apparatus provided by an embodiment of the application. The device resource configuration device 40 is applied to electronic devices, and includes an acquisition module 401, an identification module 402, a matching module 403, and a setting module 404;

The obtaining module 401 is configured to receive a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information;

The identification module 402 is used to obtain the current state information of the electronic device, and identify the current situation category information of the user according to the state information;

The matching module 403 is configured to match corresponding resource configuration information in the resource configuration information set according to the current situation category information;

The setting module 404 is configured to set the electronic device according to the resource configuration information.

In one embodiment, please refer to FIG. 6. FIG. 6 is a schematic diagram of another structure of the device resource configuration apparatus 40 provided by an embodiment of the application, wherein the state information of the electronic device includes sensor information, and the identification module 402 Including: a processing sub-module 4021 and a determining sub-module 4022;

The processing sub-module 4021 is configured to process the sensor information according to a preset algorithm model to obtain the probabilities corresponding to various types of scene information;

The determining sub-module 4022 is configured to determine the current situation category information of the user according to the probability.

In an embodiment, the processing sub-module 4021 is specifically configured to perform vectorization processing on the sensor information to obtain a sensor vector, and superimpose the sensor vector to obtain a sensor tensor, according to the preset algorithm model Process the sensor tensor.

In an embodiment, the setting module 404 includes: an obtaining submodule 4041 and a setting submodule 4042;

The acquiring submodule 4041 is configured to acquire the device resources included in the resource configuration information and the target parameters corresponding to the device resources;

The setting submodule 4042 is configured to set the device resource according to the target parameter.

In an embodiment, the setting submodule 4042 is specifically configured to determine whether the current parameter of the device resource is the same as the target parameter, and if not, adjust the current parameter of the device resource to the target parameter.

It can be seen from the above that the device resource configuration apparatus of the embodiment of the present application can receive the resource configuration information set sent by the server. The resource configuration information set includes the user's situation category information and corresponding resource configuration information, obtains the current state information of the electronic device, and obtains The status information identifies the user's current situation category information, matches the corresponding resource configuration information in the resource configuration information set according to the current situation category information, and sets the electronic device according to the resource configuration information. The embodiments of the present application can intelligently identify the current situation category information, and generate a corresponding resource allocation plan based on the situation category information to set the electronic device, which can significantly improve the accuracy of device resource allocation and the specificity of resource utilization.

Please refer to FIG. 7. FIG. 7 is another schematic structural diagram of the device resource configuration apparatus provided by an embodiment of the application. The device resource configuration apparatus 50 is applied to a server and includes a receiving module 501, a determining module 502, a generating module 503, and a sending module. Module 504;

The receiving module 501 is configured to receive user context category information and corresponding resource configuration information sent by multiple electronic devices;

The determining module 502 is configured to determine the target resource configuration information corresponding to each of the user context category information according to a preset algorithm;

The generating module 503 is configured to generate a resource configuration information set according to the multiple user scenario category information and corresponding target resource configuration information.

The sending module 504 is configured to send the resource configuration information set to an electronic device.

In an embodiment, the preset algorithm is a collaborative filtering algorithm.

It can be seen from the above that the device resource configuration apparatus of the embodiment of the present application can receive user context category information and corresponding resource configuration information sent by multiple electronic devices, and determine the target resource configuration information corresponding to each user context category information according to a preset algorithm , Generate a resource configuration information set according to multiple user scenario category information and corresponding target resource configuration information, and send the resource configuration information set to the electronic device. The embodiment of the present application can learn the best resource configuration information corresponding to each scenario category information by learning the scenario category information of multiple users and the corresponding resource configuration information, and generate the best resource configuration plan.

In this embodiment of the application, the device resource configuration device belongs to the same concept as the device resource configuration method in the above embodiment. Any method provided in the device resource configuration method embodiment can be run on the device resource configuration device, and its specific implementation process For details, refer to the embodiment of the device resource configuration method, which will not be repeated here.

The term "module" used herein can be regarded as a software object executed on the operating system. The different components, modules, engines, and services described in this article can be regarded as implementation objects on the computing system. The devices and methods described herein can be implemented in the form of software, or of course, can also be implemented on hardware, and they are all within the protection scope of the present application.

An embodiment of the present application also provides a storage medium on which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the above-mentioned device resource configuration method.

The embodiment of the present application also provides an electronic device, such as a tablet computer, a mobile phone, and so on. The processor in the electronic device will load the instructions corresponding to the process of one or more application programs into the memory according to the following steps, and the processor will run the application programs stored in the memory to realize various functions:

Receiving a resource configuration information set sent by the server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information;

In an embodiment, the state information of the electronic device includes sensor information, and when the current situation category information of the user is identified according to the state information, the processor is configured to perform the following steps:

In an embodiment, when processing the sensor information according to a preset algorithm model, the processor is configured to perform the following steps:

Superimpose the sensor vectors to obtain a sensor tensor;

The sensor tensor is processed according to the preset algorithm model.

In an embodiment, when the electronic device is set according to the resource configuration information, the processor is configured to execute the following steps:

The device resource is set according to the target parameter.

In an embodiment, when setting the device resource according to the target parameter, the processor is configured to perform the following steps:

Reference to "embodiments" herein means that a specific feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art clearly and implicitly understand that the embodiments described herein can be combined with other embodiments.

Referring to FIG. 8, the electronic device 600 includes a processor 601 and a memory 602. The processor 601 is electrically connected to the memory 602.

The processor 600 is the control center of the electronic device 600. It uses various interfaces and lines to connect the various parts of the entire electronic device, and executes the electronic device by running or loading the computer program stored in the memory 602 and calling the data stored in the memory 602. Various functions of the device 600 and processing data, so as to monitor the electronic device 600 as a whole.

The memory 602 can be used to store software programs and modules. The processor 601 executes various functional applications and data processing by running the computer programs and modules stored in the memory 602. The memory 602 may mainly include a storage program area and a storage data area. The storage program area may store an operating system, a computer program required by at least one function (such as a sound playback function, an image playback function, etc.), etc.; Data created by the use of electronic equipment, etc. In addition, the memory 602 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 602 may further include a memory controller to provide the processor 601 with access to the memory 602.

In the embodiment of the present application, the processor 601 in the electronic device 600 loads the instructions corresponding to the process of one or more computer programs into the memory 602 according to the following steps, and the processor 601 runs and stores the instructions in the memory 602 In order to realize various functions in the computer program, as follows:

Please also refer to FIG. 9. In some embodiments, the electronic device 600 may further include a display 603, a radio frequency circuit 604, an audio circuit 605 and a power supply 606. Among them, the display 603, the radio frequency circuit 604, the audio circuit 605, and the power supply 606 are electrically connected to the processor 601, respectively.

The display 603 may be used to display information input by the user or information provided to the user, and various graphical user interfaces. These graphical user interfaces may be composed of graphics, text, icons, videos, and any combination thereof. The display 603 may include a display panel. In some embodiments, the display panel may be configured in the form of a liquid crystal display (LCD) or an organic light-emitting diode (OLED).

The radio frequency circuit 604 may be used to transmit and receive radio frequency signals to establish wireless communication with network equipment or other electronic equipment through wireless communication, and to transmit and receive signals with the network equipment or other electronic equipment.

The audio circuit 605 can be used to provide an audio interface between the user and the electronic device through a speaker or a microphone.

The power supply 606 can be used to power various components of the electronic device 600. In some embodiments, the power supply 606 may be logically connected to the processor 601 through a power management system, so that functions such as charging, discharging, and power consumption management can be managed through the power management system.

Although not shown in FIG. 9, the electronic device 600 may also include a camera, a Bluetooth module, etc., which will not be repeated here.

In the embodiment of the present application, the storage medium may be a magnetic disk, an optical disc, a read only memory (Read Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

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

It should be noted that for the device resource configuration method of the embodiment of the present application, ordinary testers in the field can understand that all or part of the process of implementing the device resource configuration method of the embodiment of the present application can be controlled by a computer program. After completion, the computer program can be stored in a computer readable storage medium, such as stored in the memory of an electronic device, and executed by at least one processor in the electronic device. The execution process can include such as device resource allocation method. The flow of the embodiment. Among them, the storage medium can be magnetic disk, optical disk, read-only memory, random access memory, etc.

For the device resource configuration device of the embodiment of the present application, its functional modules may be integrated in one processing chip, or each module may exist alone physically, or two or more modules may be integrated in one module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium, such as a read-only memory, a magnetic disk, or an optical disk.

The above provides a detailed introduction to the device resource configuration method, device, storage medium, and electronic equipment provided by the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementations of the present application. The description of the above embodiments It is only used to help understand the method and core idea of this application; at the same time, for those skilled in the art, according to the idea of this application, there will be changes in the specific implementation and scope of application. In summary, this The content of the description should not be construed as a limitation on this application.

Claims

A device resource configuration method is applied to an electronic device, wherein the method includes the following steps:

Receiving a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information;

Acquiring current state information of the electronic device, and identifying the user's current situation category information according to the state information;

Matching corresponding resource configuration information in the resource configuration information set according to the current situation category information;

Setting the electronic device according to the resource configuration information.
The device resource configuration method according to claim 1, wherein the state information of the electronic device includes sensor information, wherein identifying the user's current situation category information according to the state information includes:

Processing the sensor information according to a preset algorithm model to obtain the probabilities corresponding to various scene category information;

Determine the user's current situation category information according to the probability.
The device resource configuration method according to claim 2, wherein processing the sensor information according to a preset algorithm model comprises:

Performing vectorization processing on the sensor information to obtain a sensor vector;

Superimpose the sensor vectors to obtain a sensor tensor;

The sensor tensor is processed according to the preset algorithm model.
The device resource configuration method according to claim 1, wherein the setting of the electronic device according to the resource configuration information comprises:

Acquiring device resources included in the resource configuration information and target parameters corresponding to the device resources;

The device resource is set according to the target parameter.
The device resource configuration method according to claim 4, wherein setting the device resource according to the target parameter comprises:

Determine whether the current parameter of the device resource is the same as the target parameter;

If not, the current parameter of the device resource is adjusted to the target parameter.
A device resource configuration method applied to a server, wherein the method includes the following steps:

Receiving user scenario category information and corresponding resource configuration information sent by multiple electronic devices;

Determining the target resource configuration information corresponding to each of the user scenario category information according to a preset algorithm;

Generating a resource configuration information set according to the multiple user scenario category information and corresponding target resource configuration information;

Sending the resource configuration information set to the electronic device.
The device resource configuration method according to claim 6, wherein the preset algorithm is a collaborative filtering algorithm.
A device resource configuration device applied to electronic equipment, wherein the device includes: an acquisition module, an identification module, a matching module, and a setting module;

The acquisition module is configured to receive a resource configuration information set sent by a server, the resource configuration information set includes user scenario category information and corresponding resource configuration information;

The identification module is used to obtain the current state information of the electronic device, and identify the current situation category information of the user according to the state information;

The matching module is configured to match corresponding resource configuration information in the resource configuration information set according to the current situation category information;

The setting module is configured to set the electronic device according to the resource configuration information.
The device resource configuration device according to claim 8, wherein the state information of the electronic device includes sensor information, wherein the identification module includes: a processing sub-module and a determining sub-module;

The processing sub-module is configured to process the sensor information according to a preset algorithm model to obtain the probabilities corresponding to various types of situation information;

The determining sub-module is used to determine the current situation category information of the user according to the probability.
The device resource configuration device according to claim 9, wherein:

The processing sub-module is specifically configured to perform vectorization processing on the sensor information to obtain a sensor vector, superimpose the sensor vector to obtain a sensor tensor, and perform processing on the sensor tensor according to the preset algorithm model deal with.
The device resource configuration device according to claim 8, wherein the setting module comprises: an obtaining sub-module and a setting sub-module;

The acquisition sub-module is configured to acquire the device resource included in the resource configuration information and the target parameter corresponding to the device resource;

The setting submodule is used to set the device resource according to the target parameter.
The device resource configuration device according to claim 11, wherein:

The setting submodule is specifically configured to determine whether the current parameter of the device resource is the same as the target parameter, and if not, adjust the current parameter of the device resource to the target parameter.
A device resource configuration device applied to a server, wherein the device includes: a receiving module, a determining module, a generating module, and a sending module;

The receiving module is configured to receive user context category information and corresponding resource configuration information sent by multiple electronic devices;

The determining module is configured to determine the target resource configuration information corresponding to each user scenario category information according to a preset algorithm;

The generating module is configured to generate a resource configuration information set according to the multiple user scenario category information and corresponding target resource configuration information.

The sending module is configured to send the resource configuration information set to an electronic device.
The device resource configuration device according to claim 13, wherein the preset algorithm is a collaborative filtering algorithm.
A storage medium having a computer program stored thereon, wherein when the computer program runs on a computer, the computer is caused to execute the device resource configuration method according to any one of claims 1 to 5.
An electronic device includes a processor and a memory, the memory stores a plurality of instructions, wherein the processor loads the instructions in the memory to perform the following steps:

Receiving a resource configuration information set sent by a server, where the resource configuration information set includes user scenario category information and corresponding resource configuration information;

Acquiring current state information of the electronic device, and identifying the user's current situation category information according to the state information;

Matching corresponding resource configuration information in the resource configuration information set according to the current situation category information;

Setting the electronic device according to the resource configuration information.
The electronic device according to claim 16, wherein the state information of the electronic device includes sensor information, wherein, when the user's current situation category information is identified according to the state information, the processor is configured to perform the following steps:

Processing the sensor information according to a preset algorithm model to obtain the probabilities corresponding to various scene category information;

Determine the user's current situation category information according to the probability.
The electronic device according to claim 17, wherein, when the sensor information is processed according to a preset algorithm model, the processor is configured to perform the following steps:

Performing vectorization processing on the sensor information to obtain a sensor vector;

Superimpose the sensor vectors to obtain a sensor tensor;

The sensor tensor is processed according to the preset algorithm model.
The electronic device according to claim 16, wherein, when the electronic device is set according to the resource configuration information, the processor is configured to perform the following steps:

Acquiring device resources included in the resource configuration information and target parameters corresponding to the device resources;

The device resource is set according to the target parameter.
The electronic device according to claim 19, wherein, when the device resource is set according to the target parameter, the processor is configured to perform the following steps:

Determine whether the current parameter of the device resource is the same as the target parameter;

If not, the current parameter of the device resource is adjusted to the target parameter.