WO2020207316A1 - Procédé et appareil de configuration de ressource de dispositif, support d'enregistrement, et dispositif électronique - Google Patents

Procédé et appareil de configuration de ressource de dispositif, support d'enregistrement, et dispositif électronique Download PDF

Info

Publication number
WO2020207316A1
WO2020207316A1 PCT/CN2020/082820 CN2020082820W WO2020207316A1 WO 2020207316 A1 WO2020207316 A1 WO 2020207316A1 CN 2020082820 W CN2020082820 W CN 2020082820W WO 2020207316 A1 WO2020207316 A1 WO 2020207316A1
Authority
WO
WIPO (PCT)
Prior art keywords
resource configuration
information
configuration information
electronic device
sensor
Prior art date
Application number
PCT/CN2020/082820
Other languages
English (en)
Chinese (zh)
Inventor
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 (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CN201910282433.3A external-priority patent/CN111796927B/zh
Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2020207316A1 publication Critical patent/WO2020207316A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]

Definitions

  • 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.
  • 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.
  • an embodiment of the present application provides a device resource configuration method applied to an electronic device, including:
  • an embodiment of the present application provides a device resource configuration method applied to a server, including:
  • 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.
  • 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the data processing layer can perform data cleaning, data integration, data transformation, and data reduction on the data acquired by the information perception layer.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 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;
  • 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 includes:
  • the sensor tensor is processed according to the preset algorithm model.
  • setting the electronic device according to the resource configuration information includes:
  • the device resource is set according to the target parameter.
  • setting the device resource according to the target parameter includes:
  • the current parameter of the device resource is adjusted to the target parameter.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the current state information of the above electronic device may include system operation information and sensor information of the electronic device, and so on.
  • 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.
  • 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.
  • 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.
  • environmental information and user information may be further obtained.
  • the environmental information may include weather, temperature, time, etc.
  • the user information may include age, gender, behavior records, etc.
  • the information may be input into the scene category prediction model to predict the user's scene category information.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the corresponding resource configuration information can include turning on the WIFI switch.
  • the electronic device will automatically connect to the home network hotspot.
  • the mobile of the electronic device can also be turned off. Network to save user traffic.
  • the user 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.
  • the device resource configuration method 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • electronic devices have built-in sensors with different functions, and these sensors can detect the current state of the electronic device at any time.
  • 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.
  • the foregoing processing of the sensor information according to a preset algorithm model includes:
  • the sensor tensor is processed according to the preset algorithm model.
  • 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.
  • 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.
  • the electronic device can also detect the intensity of ambient light through the light sensor.
  • Step 204 Match the corresponding resource configuration information in the resource configuration information set according to the current situation 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.
  • 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.
  • 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.
  • the step of setting the device resource according to the target parameter may include:
  • the current parameter of the device resource is adjusted to the target parameter.
  • prompt information 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.
  • the device resource configuration method 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:
  • the preset algorithm is a collaborative filtering algorithm.
  • 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.
  • 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.
  • 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.
  • a collaborative filtering algorithm may be used to determine the target resource configuration information corresponding to each user context category information.
  • 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.
  • 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.
  • 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.
  • the device resource configuration method 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.
  • FIG. 5 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the preset algorithm is a collaborative filtering algorithm.
  • 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.
  • 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.
  • 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:
  • 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:
  • the processor when processing the sensor information according to a preset algorithm model, the processor is configured to perform the following steps:
  • the sensor tensor is processed according to the preset algorithm model.
  • the processor 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.
  • the processor when setting the device resource according to the target parameter, the processor is configured to perform the following steps:
  • the current parameter of the device resource is adjusted to the target parameter.
  • 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.
  • 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.
  • the memory 602 may further include a memory controller to provide the processor 601 with access to the memory 602.
  • 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:
  • the electronic device 600 may further include a display 603, a radio frequency circuit 604, an audio circuit 605 and a power supply 606.
  • 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.
  • 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.
  • 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.
  • the electronic device 600 may also include a camera, a Bluetooth module, etc., which will not be repeated here.
  • 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.
  • 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.
  • 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 storage medium can be magnetic disk, optical disk, read-only memory, random access memory, etc.
  • 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.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

Un procédé de configuration de ressource de dispositif consiste à : recevoir un ensemble d'informations de configuration de ressource envoyé par un serveur, l'ensemble d'informations de configuration de ressource comprenant des informations de catégorie de scénario d'un utilisateur et des informations de configuration de ressource correspondantes (101); acquérir des informations d'état courant d'un dispositif électronique, et identifier des informations de catégorie de scénario courant de l'utilisateur en fonction des informations d'état (102); faire concorder les informations de configuration de ressource correspondantes dans l'ensemble d'informations de configuration de ressource conformément aux informations de catégorie de scénario courant (103); et configurer le dispositif électronique selon les informations de configuration de ressource (104).
PCT/CN2020/082820 2019-04-09 2020-04-01 Procédé et appareil de configuration de ressource de dispositif, support d'enregistrement, et dispositif électronique WO2020207316A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910282433.3 2019-04-09
CN201910282433.3A CN111796927B (zh) 2019-04-09 设备资源配置方法、装置、存储介质及电子设备

Publications (1)

Publication Number Publication Date
WO2020207316A1 true WO2020207316A1 (fr) 2020-10-15

Family

ID=72752127

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/082820 WO2020207316A1 (fr) 2019-04-09 2020-04-01 Procédé et appareil de configuration de ressource de dispositif, support d'enregistrement, et dispositif électronique

Country Status (1)

Country Link
WO (1) WO2020207316A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1633192A (zh) * 2003-12-25 2005-06-29 仁宝电脑工业股份有限公司 无线便携式电子装置的情境模式自动管理方法及系统
CN1635810A (zh) * 2003-12-26 2005-07-06 仁宝电脑工业股份有限公司 移动电话的情境模式管理方法及系统
US20130283283A1 (en) * 2011-01-13 2013-10-24 Htc Corporation Portable electronic device and control method therefor
CN104506707A (zh) * 2014-11-21 2015-04-08 惠州Tcl移动通信有限公司 一种情景感知模式的控制方法及控制系统
CN108990084A (zh) * 2017-06-01 2018-12-11 电信科学技术研究院 一种信息获取方法、装置、设备及计算机可读存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1633192A (zh) * 2003-12-25 2005-06-29 仁宝电脑工业股份有限公司 无线便携式电子装置的情境模式自动管理方法及系统
CN1635810A (zh) * 2003-12-26 2005-07-06 仁宝电脑工业股份有限公司 移动电话的情境模式管理方法及系统
US20130283283A1 (en) * 2011-01-13 2013-10-24 Htc Corporation Portable electronic device and control method therefor
CN104506707A (zh) * 2014-11-21 2015-04-08 惠州Tcl移动通信有限公司 一种情景感知模式的控制方法及控制系统
CN108990084A (zh) * 2017-06-01 2018-12-11 电信科学技术研究院 一种信息获取方法、装置、设备及计算机可读存储介质

Also Published As

Publication number Publication date
CN111796927A (zh) 2020-10-20

Similar Documents

Publication Publication Date Title
CN109299315B (zh) 多媒体资源分类方法、装置、计算机设备及存储介质
CN111182453B (zh) 定位方法、装置、电子设备及存储介质
CN111897996B (zh) 话题标签推荐方法、装置、设备及存储介质
WO2018120813A1 (fr) Procédé et terminal intelligents de recommandations
CN111813532B (zh) 一种基于多任务机器学习模型的图像管理方法及装置
CN110168530A (zh) 电子设备和操作该电子设备的方法
US20220091905A1 (en) Method and device for providing application list by electronic device
CN111737573A (zh) 资源推荐方法、装置、设备及存储介质
CN111797288A (zh) 数据筛选方法、装置、存储介质及电子设备
CN111800445B (zh) 消息推送方法、装置、存储介质及电子设备
KR20200085143A (ko) 외부 장치를 등록하는 대화형 제어 시스템 및 방법
CN111797148A (zh) 数据处理方法、装置、存储介质及电子设备
CN111796926A (zh) 指令执行方法、装置、存储介质及电子设备
CN111797870A (zh) 算法模型的优化方法、装置、存储介质及电子设备
CN111798019B (zh) 意图预测方法、装置、存储介质及电子设备
CN115841575A (zh) 关键点检测方法、装置、电子设备、存储介质和程序产品
CN111797867A (zh) 系统资源优化方法、装置、存储介质及电子设备
WO2020207253A1 (fr) Procédé et appareil de gestion de permission d'application et support de stockage et dispositif électronique
CN111797874B (zh) 行为预测方法、装置、存储介质及电子设备
WO2020207316A1 (fr) Procédé et appareil de configuration de ressource de dispositif, support d'enregistrement, et dispositif électronique
CN112560612B (zh) 确定业务算法的系统、方法、计算机设备及存储介质
CN111800538B (zh) 信息处理方法、装置、存储介质及终端
CN111796927B (zh) 设备资源配置方法、装置、存储介质及电子设备
CN109635153B (zh) 迁移路径生成方法、装置及存储介质
CN111797391A (zh) 高风险进程的处理方法、装置、存储介质及电子设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20786750

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20786750

Country of ref document: EP

Kind code of ref document: A1