WO2015154417A1

WO2015154417A1 - Terminal system heating optimization method and device

Info

Publication number: WO2015154417A1
Application number: PCT/CN2014/088986
Authority: WO
Inventors: 康海雷; 王海飞; 豆明明
Original assignee: 中兴通讯股份有限公司
Priority date: 2014-08-11
Filing date: 2014-10-20
Publication date: 2015-10-15
Also published as: CN105467932A

Abstract

A terminal system heating optimization method and device, which relate to the technical field of mobile terminals. The method comprises the steps of: collecting operating state information and temperature information about a terminal in real time; sending the collected operating state information and temperature information about the terminal to a server, the server comprising a cloud server; receiving a parameter which is configured by the server according to the operating state information and temperature information about the terminal and is suitable for the terminal to operate in a current situation; and controlling the heating and temperature of the terminal according to the parameter received from the server. An optimization application is submitted through a network connection server, and a suggestion and a parameter for heating management are given by the server in time, thereby improving the user experience.

Description

Method and device for heating optimization of terminal system

Technical field

The present invention relates to the field of mobile terminal technologies, and in particular, to a method and an apparatus for optimizing heating of a terminal system.

Background technique

As the use of mobile terminal devices is getting larger and larger, the hardware configuration is getting higher and higher, but due to industrial modeling, hardware layout, software factors, etc., the hardware performance is subject to heat and safety reasons, and cannot be fully utilized. For example, if the terminal device is hot, the running frequency of the terminal device will be greatly limited. Even if the user can tolerate a higher heating temperature, the user has no way to improve the performance of the CPU when the heat is generated, and can only continue to use the device after the heat is dissipated. Moreover, many general-purpose models use compromised parameters for some key settings and parameters that affect performance and heat in order to adapt to the usage environment and usage differences of various countries and regions. Since performance is closely related to user experience, performance is limited. Due to the fever factor, the heat management of smart terminals is very important. The current practice is mainly divided into the following categories:

1. By controlling the highest frequency point of the CPU operation, the user can provide the local menu option performance mode, power saving mode, standard mode, etc. to control the heating and balance the performance, but once set, the user will be provided with a single configuration change. Mainly focused on the frequency modulation strategy of the main CPU. For example, in the standard mode and the power saving mode, the CPU is difficult to operate at the highest frequency, and the limited frequency is a fixed value, which does not change with the user's environment and geographical location, so The optimization of fever is limited, and the degree of user customization is relatively low.

2. Before the factory, according to the test specifications of the regional and the local authorities, a set of parameters is specially debugged. For the application environment of certain regions, the parameters related to performance and heat are uniformly configured to meet the needs of users.

Although the above technical solution provides partial optimization options, the depth of optimization is not enough, and the user is not provided with deeper heating optimization options and optimization suggestions, and heating parameter optimization. Furthermore, the provided fever management strategy has a single parameter and cannot adjust the optimized parameters in real time according to the environment. Numbers and indicators.

Summary of the invention

The embodiment of the invention provides a method and a device for optimizing the heating of the terminal, which solves the problem that the terminal parameters and configurations that cannot be adjusted in real time according to the heating condition of the terminal in the prior art are solved.

According to an aspect of the present invention, a method for terminal heating optimization is provided, comprising the steps of:

The terminal collects terminal running status information and temperature information in real time;

Sending the collected terminal running status information and temperature information to the server;

Receiving parameters configured by the server according to the terminal operating state information and temperature information, which are suitable for the terminal to run under the current situation;

The heat generation and temperature of the terminal are controlled based on the parameters received from the server.

Optionally, the controlling the heat generation and the temperature of the terminal according to the parameter received from the server includes:

Retrieving parameters and configurations of the terminal to control the heat generation and temperature of the terminal according to the parameters received from the server; or

Based on the parameters received from the server, the terminal updates the management policy to control the heating and temperature of the terminal.

Optionally, the method further includes the step of loading the preset fever management parameters and configuration when the terminal is started or when the terminal is not connected to the network.

Optionally, the terminal operating state information includes an operating state and performance information of the CPU, and status information of the subsystem; and the temperature information includes temperature information of the CPU temperature sensor and temperature information of the CPU paving chip temperature sensor.

Optionally, the server includes a base station side server, a network side server, or a cloud server.

According to an aspect of the present invention, a method for terminal heat generation optimization is provided, which is applied to a server, and includes the following steps:

Receiving, by the terminal, operation state information and temperature information of the terminal;

By analyzing the received terminal operating state information and temperature information, obtaining parameters suitable for the terminal to operate under the current situation;

Sending, by the terminal, the operating parameters in the current situation to the terminal, for controlling the heat generation and temperature of the terminal.

Optionally, the analyzing the received terminal operating state information and the temperature information comprises: automatically analyzing the received terminal operating state information and temperature information by using a fever analysis system; or

The expert analysis system of the heating expert is used to perform expert optimization analysis on the received terminal operating status information and temperature information.

According to another aspect of the present invention, an apparatus for optimizing heat generation of a terminal is provided, including:

The collection module is configured to collect terminal running status information and temperature information in real time;

a sending module, configured to send the collected terminal running status information and temperature information to the server;

a receiving module, configured to receive a parameter that is configured by the server according to the terminal operating state information and temperature information, and is suitable for the terminal to run in a current situation;

The control module is configured to control the heat generation and temperature of the terminal based on the parameters received from the server.

Optionally, it also includes:

a cloud server receiving unit, configured to receive, by the server, the terminal running status information and temperature information;

The cloud server analyzing unit is configured to analyze, by the server, the received terminal running state information and the temperature information, to obtain a parameter suitable for the terminal to run in the current situation.

Optionally, the control module includes:

a first control unit configured to: according to the parameter received from the server, the terminal reloads parameters and configurations of the terminal to control heat generation and temperature of the terminal; or

a second control unit configured to determine the terminal according to the parameter received from the server Update the management strategy to control the heat and temperature of the terminal.

Optionally, the method further includes a loading unit configured to load the preset fever management parameters and configurations when the terminal is started or when the terminal is not connected to the network.

According to another aspect of the present invention, an apparatus for optimizing a terminal heat generation, including application to a server, includes:

a receiving unit, configured to receive running state information and temperature information sent by the terminal;

The analyzing unit is configured to obtain a parameter suitable for the terminal to operate in the current situation by analyzing the received terminal operating state information and the temperature information;

And a sending unit, configured to send the parameter suitable for the terminal to run in the current situation to the terminal.

Optionally, the analyzing unit comprises: a heating analysis system module and a heating expert analysis system module,

The heat generation analysis system module is configured to automatically analyze the received terminal operating state information and temperature information;

The heating expert analysis system module is configured to perform expert optimization analysis on the received terminal operating state information and temperature information.

According to another aspect of the present invention, there is also provided a computer program and a carrier thereof, the computer program comprising program instructions, when the program instructions are executed by a terminal device, enabling the terminal device to implement the method for optimizing the heat generation of the terminal.

According to another aspect of the present invention, there is also provided a computer program and a carrier thereof, the computer program comprising program instructions that, when executed by a server, cause the server to implement the method of heating optimization of the terminal.

Compared with the prior art, the beneficial effects of the embodiments of the present invention are that the user experience of the device in a certain scenario or a certain function that the user is accustomed to use is obviously improved, and the change of the use environment is avoided. , the user's bad operating habits and other limiting factors, resulting in the limitations between the system performance and fever.

BRIEF abstract

1 is a flowchart of a method for heating optimization of a terminal system according to an embodiment of the present invention;

2 is a schematic diagram of a device for optimizing heat generation of a terminal system according to an embodiment of the present invention;

3 is a structural diagram of a heat generation optimization device according to an embodiment of the present invention;

4 is a schematic diagram of a heat generation optimization structure of a terminal system according to an embodiment of the present invention;

FIG. 5 is a flowchart of a heat generation optimization method according to an embodiment of the present invention.

Preferred embodiment of the invention

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other.

The embodiment of the present invention collects the user's usage habits and usage environment information through a background program, and uploads the server through the network, including the base station side server, the network side server, or the cloud server, etc., because the generated information is standard, and the automatic completion can be performed on the server. The function of the analysis, after the analysis is completed, the optimization information and optimization parameters for the fever generated according to the analysis can be sent to the user's mobile phone through the network, and the hardware in the original version can be changed in an interactive manner or in a mode authorized by the user. With the parameter configuration of the software, the heating optimization of the user terminal is completed. Including the CPU's FM strategy, WIFI transmit and receive power, RF part of the power control parameters, camera frame rate and picture quality, LCD backlight brightness, LCD color mode.

FIG. 1 is a flowchart of a method for optimizing heat generation of a terminal system according to an embodiment of the present invention. The cloud server is taken as an example. As shown in FIG. 1 , the following steps are included:

Step S101: collecting terminal running state information and temperature information in real time;

The terminal running status information includes an operating state and performance information of the CPU, and status information of the subsystem; the temperature information includes temperature information of the CPU temperature sensor and CPU assistance. Temperature information of the chip temperature sensor.

Step S102: Send the collected terminal running status information and temperature information to the cloud server.

Step S103: Receive parameters configured by the cloud server according to the terminal operating state information and temperature information, which are suitable for the terminal to run under the current situation;

Step S104: Control the heat generation and temperature of the terminal according to the parameter received from the cloud server.

Before the step of receiving the parameter that is suitable for the terminal to run in the current situation, the cloud server according to the terminal operating state information and the temperature information of the embodiment of the present invention further includes: the cloud server receiving the terminal running state Information and temperature information; the cloud server analyzes the received terminal operating state information and temperature information to obtain parameters suitable for the terminal to operate in the current situation.

Controlling the heat generation and temperature of the terminal according to the parameter received from the cloud server according to the embodiment of the present invention includes: reloading the terminal according to the parameter received from the cloud server Parameters and configurations to control the heating and temperature of the terminal; or based on the parameters received from the cloud server, the terminal updates the management policy to control the heating and temperature of the terminal.

The embodiment of the invention further includes the step of loading the preset fever management parameters and configuration when the terminal is started or when the terminal is not connected to the network.

FIG. 2 is a schematic diagram of a device for optimizing heat generation of a terminal system according to an embodiment of the present invention. The cloud server is used as an example. As shown in FIG. 2, the method includes: a collecting module 201 configured to collect terminal running state information and temperature information in real time; The sending module 202 is configured to send the collected terminal operating state information and temperature information to the cloud server, and the receiving module 203 is configured to receive, according to the terminal operating state information and the temperature information, the cloud server is suitable for the terminal. The parameter running in the current situation; the control module 204 is configured to control the heat generation and temperature of the terminal according to the parameter received from the cloud server.

The terminal running state information includes an operating state and performance information of the CPU, and state information of the subsystem; the temperature information includes temperature information of the CPU temperature sensor and temperature information of the CPU auxiliary chip temperature sensor.

The embodiment of the present invention further includes: a cloud server receiving unit, configured to receive the terminal running state information and temperature information by the cloud server; and the cloud server analyzing unit is configured to set, by the cloud server, the running state information of the received terminal The temperature information is analyzed to obtain parameters suitable for the terminal to operate in the current situation; the loading unit is configured to load the preset fever management parameters and configurations when the terminal is started or when the terminal is not connected to the network.

The control module 204 includes: a first control unit, configured to: according to the parameter received from the cloud server, the terminal reloads parameters and configurations of the terminal to control heat generation and temperature of the terminal; or The second control unit is configured to update the management policy according to the parameter received from the cloud server to control the heat generation and temperature of the terminal.

FIG. 3 is a structural diagram of a heat generation optimization apparatus according to an embodiment of the present invention. The cloud server is taken as an example. As shown in FIG. 3, the cloud server 301, the network system 302, and the local heat monitoring system 303 are included. The cloud server 301 includes a cloud intelligent fever analysis system 3011 and a cloud intelligent fever analysis expert system 3012. The local heating monitoring system includes a local information summarizing and uploading module 3031, a monitoring monitoring module 3032, and a local heating control module 3033, and a storage medium storing the above information, and the storage device is configured to save the parameters and methods of the management policy, and the device CPU and auxiliary processor access and control.

The local heating monitoring system 303 analyzes and evaluates the local heating management performance by monitoring the monitoring of the device status information by the monitoring module 3032, and analyzes the preset parameters of the system according to the collected information. In this embodiment, the sampling CPU, the temperature of the surrounding auxiliary chip, the temperature of the key position on the main board, the operating frequency of the CPU, and the time and frequency of multi-core operation in the multi-core system are included, and the temperature control algorithm of the local operation is monitored. dynamic data.

The local heat monitoring system 303 communicates and connects with the cloud server 301 platform through the network system 302. For example, the wireless network system or the limited network system communicates and connects with the cloud server 30 platform. The cloud information server configures the cloud intelligent fever analysis system 3011 and the cloud intelligent fever analysis expert system 3012 through the local information summary and upload module 3031 to summarize and upload the summarized related information, and the cloud server 301 receives the heat and performance parameters of the device terminal. After the information, the server-side cloud intelligent heat analysis system 3011 and the cloud intelligent heat analysis expert system 3012 are executed, and the received data is intelligently analyzed and processed, and optimized configuration parameters are given based on the operation result, and delivered to the smart through the network. terminal. In this embodiment, the main embodiment is Statistics and trends of CPU operating frequency and temperature changes, as well as the number of tasks to be processed by the CPU, multi-core operation statistics parameters of the multi-core CPU system, average running and waiting time, and temperature of the subsystem controlled by the CPU, etc. After intelligent analysis, adjust the upper or lower frequency of the CPU operation, and the threshold or statistical strategy of the CPU running in the high and low frequency bands, limit CPU heating or enhance processing power, or adjust the multi-core CPU startup threshold to make the system less or More time to run in multi-core mode to improve heat or enhance system performance.

4 is a schematic diagram of a heat generation optimization structure of a terminal system according to an embodiment of the present invention. As shown in FIG. 4, the monitoring module 401, the temperature control algorithm module 402, the CPU and the subsystem temperature sensing module 403, the CPU and the subsystem performance are shown in FIG. Statistics control module 404. The monitoring module 401 is configured to collect various state information, thermal sensor information, and CPU and subsystem performance statistics information of the terminal device. Parameters include, but are not limited to, CPU temperature sensor, auxiliary chip temperature sensor, CPU operating frequency information and statistical data, multi-core operating status and statistical information, and wireless module power control information. The temperature control algorithm module 402 is configured to control the operating state and parameters of the device according to the preset parameters or after receiving the server parameters, thereby optimizing the heat generation and performance of the device according to the control strategy of the temperature heating. The CPU and other subsystem temperature sensing modules 403 are configured to collect sensor information distributed throughout the SOC and important parts of the main board to obtain an overall heat state of the whole machine. The CPU and subsystem performance statistics control module 404 is configured to count the operating status and performance information of the CPU, the coprocessor, and other subsystems and hardware and software. And perform specific operations that limit or enhance the processing power or performance of software and hardware systems.

Through the cloud server to calculate the optimal parameters and configuration strategies, and with the above modules, the complete heating control methods and strategies can be completed.

FIG. 5 is a flowchart of a method for optimizing heat generation according to an embodiment of the present invention. Taking a cloud server as an example, as shown in FIG. 5, at the beginning of system startup, parameters and configurations of preset heat management in a terminal device are loaded. It is used to ensure the safe start of the system and the temperature control management in the unconnected state to ensure the normal operation of the system. When the system starts normally, the local temperature control algorithm is executed first, and the preset parameters are loaded. After the user is connected to the network, whether the user initiates the hot optimization management request or the user authorization to automatically execute the relevant code and function in the background, the device terminal uploads the previously collected information to the cloud server, and calculates the optimal parameters and configuration through the server, and Issued to the terminal device. It mainly includes the following steps:

Step S501: loading preset parameters and configurations, and starting a temperature control algorithm module;

After the system is powered on, the preset parameters and configuration are loaded, and the temperature control algorithm module of the device terminal is executed to ensure normal startup, and the terminal heat management is ensured when the network is not connected.

Step S502: monitoring and extracting device running status information, thermal sensor parameters;

After starting the monitoring module, it starts to collect the temperature parameters of each sensor, cooperates with the statistics and control modules of the CPU and the subsystem, and collects the running status and performance information of the CPU and the status information of the subsystem, including the CPU running time, The highest and lowest frequency of operation, operation information at each frequency point, key parameter information of CPU frequency control strategy, multi-core control information, depth of task stack, power control information of RF and wireless modules, and temperature parameter information of each sensor Wait.

Step S503: upload locally collected information to the cloud server through the network;

The information in step S502 is transmitted to the cloud server through a wired or wireless network.

Step S504: The cloud server automatically analyzes the uploaded information or analyzes the information through the expert system to obtain an optimal parameter.

Through the calculation and analysis of the above information, the cloud server integrates various factors of the operation of the terminal device, and runs and calculates more optimized configuration parameters and policies, and delivers them to the terminal device.

Step S505: The cloud server sends parameters and configuration information to the terminal device, and the terminal device optimizes the heat generation performance by loading new parameters and policies.

The terminal device receives the parameters and configuration information sent by the cloud server, reloads the parameters and configurations, or updates the management policy, implements heat generation and temperature control of the terminal device, and implements optimal management of the heat generation performance.

In summary, the embodiment of the present invention collects the usage environment information and usage habit information of the user, and the running status information of the device, and uploads the collected information to the server through the network, including the cloud server, the base station side server, or the network side server. Etc., because the collected information is a standard system, the heating optimization module in the server can automatically parse the received information, and output the heating control parameter information and results through comprehensive analysis of the usage environment, usage habits, and device status. After being sent to the terminal device through the network, after receiving the new parameters, the device makes adjustments in real time to meet the user's fever management requirements and performance optimization.

In summary, the embodiments of the present invention have the following technical effects:

The user in the embodiment of the present invention may choose to actively connect to the cloud server, submit an optimization request, or monitor the user usage scenarios and usage habits by the cloud, collect standard debugging information, and timely provide suggestions and parameters for the fever management to improve the user experience. In the case of networking, the terminal's heating performance is more deeply customized. This method avoids the current performance mode single, parameter adjustment limit, and the factory debugging suppresses some performance indicators for other indicators, which can further improve the user's use. Flexibility, usability and user experience.

One of ordinary skill in the art will appreciate that all or a portion of the steps of the above-described embodiments can be implemented using a computer program flow, which can be stored in a computer readable storage medium, such as on a corresponding hardware platform (eg, The system, device, device, device, etc. are executed, and when executed, include one or a combination of the steps of the method embodiments.

Alternatively, all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve. Thus, the invention is not limited to any specific combination of hardware and software.

The devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.

When each device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. The above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

Variations or substitutions are readily conceivable within the scope of the present invention by those skilled in the art and are within the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the claims.

Industrial applicability

The embodiment of the present invention collects the usage environment information and usage habit information of the user, and the running status information of the device, and uploads the collected information to the server through the network, where the server The heating optimization module automatically analyzes the received information, comprehensively analyzes the user's usage environment, usage habits, and device status, and sends the heating control parameter information and results to the terminal device through the network, so that the device can make adjustments in real time to satisfy the user. Thermal management and performance optimization requirements.

Claims

A method for terminal heating optimization includes the following steps:

The terminal collects running status information and temperature information in real time;

Sending the collected terminal running status information and temperature information to the server;

Receiving parameters configured by the server according to the terminal operating state information and temperature information, which are suitable for the terminal to run under the current situation;

The heat generation and temperature of the terminal are controlled based on the parameters received from the server.
The method of claim 1 wherein said controlling heating and temperature of said terminal based on said parameter received from said server comprises:

Reloading parameters and configurations of the terminal according to the parameters received from the server to control heat generation and temperature of the terminal; or

The management policy is updated based on the parameters received from the server to control the heat generation and temperature of the terminal.
The method of claim 1 or 2, further comprising the step of loading a preset fever management parameter and configuration when the terminal is activated or when the terminal is not networked.
The method according to claim 1, wherein the terminal operating state information comprises operating state and performance information of the CPU, state information of the subsystem; the temperature information comprises temperature information of the CPU temperature sensor and CPU-assisted chip temperature sensor Temperature information.
The method of claim 1, wherein the server comprises a base station side server, a network side server, or a cloud side server.
A method for optimizing the heating of a terminal, applied to a server, comprising the following steps:

Receiving, by the terminal, operation state information and temperature information of the terminal;

By analyzing the received terminal operating state information and temperature information, obtaining parameters suitable for the terminal to operate under the current situation;

Sending, by the terminal, the operating parameters in the current situation to the terminal, for controlling the heat generation and temperature of the terminal.
The method according to claim 6, wherein said analyzing said received terminal operating state information and temperature information comprises: automatically analyzing received terminal operating state information and temperature information by a heat generating analysis system; or

The expert analysis system of the heating expert is used to perform expert optimization analysis on the received terminal operating status information and temperature information.
The method according to claim 6 or 7, wherein the server comprises a base station side server, a network side server or a cloud side server.
A device for optimizing the heating of a terminal, comprising:

The collection module is configured to collect terminal running status information and temperature information in real time;

a sending module, configured to send the collected terminal running status information and temperature information to the server;

a receiving module, configured to receive a parameter that is configured by the server according to the terminal operating state information and temperature information, and is suitable for the terminal to run in a current situation;

The control module is configured to control the heat generation and temperature of the terminal based on the parameters received from the server.
The apparatus of claim 9 wherein said control module comprises:

a first control unit configured to reload parameters and configurations of the terminal according to the parameters received from the server to control heat generation and temperature of the terminal; or

The second control unit is configured to update the management policy based on the parameters received from the server to control the heat generation and temperature of the terminal.
The apparatus of claim 9 or 10, further comprising a loading unit configured to load the preset fever management parameters and configurations when the terminal is activated or when the terminal is not networked.
The apparatus according to claim 9, wherein said terminal operating state information comprises operating state and performance information of the CPU, state information of the subsystem; said temperature information comprises temperature information of the CPU temperature sensor and CPU-assisted chip temperature sensor Temperature information.
The apparatus of claim 9, wherein the server comprises a base station side server, a network side server, or a cloud side server.
A device for optimizing the heating of a terminal, applied to a server, comprising:

a receiving unit, configured to receive running state information and temperature information sent by the terminal;

The analyzing unit is configured to obtain a parameter suitable for the terminal to operate in the current situation by analyzing the received terminal operating state information and the temperature information;

And a sending unit, configured to send the parameter suitable for the terminal to run in the current situation to the terminal.
The apparatus according to claim 14, wherein said analysis unit comprises: a heat generation analysis system module and a heat generation expert analysis system module,

The heat generation analysis system module is configured to automatically analyze the received terminal operating state information and temperature information;

The heating expert analysis system module is configured to perform expert optimization analysis on the received terminal operating state information and temperature information.
The apparatus according to claim 14 or 15, wherein the server comprises a base station side server, a network side server or a cloud side server.
A computer program comprising program instructions that, when executed by a terminal device, cause the terminal device to implement the method of any of claims 1-5.
A carrier carrying the computer program of claim 17.
A computer program comprising program instructions that, when executed by a server, cause the server to implement the method of claims 6-8.
A carrier carrying the computer program of claim 19.