Temperature adjusting method and system based on electronic equipment scene

Abstract

The invention relates to the technical field of electronic communication, in particular to a temperature adjusting method and system based on an electronic device scene, and the method comprises the following steps: setting a scene type of an electronic device according to a customer demand, and presetting a thermal strategy according to the scene type; detecting the state of the current electronic equipment, and determining the type of a scene where the current electronic equipment is located according to a detection result; according to the scene type, a corresponding configuration file is selected from preset thermal strategy configuration files, and a temperature control threshold value and CPU frequency are adjusted; and continuously monitoring the state of the equipment, and if the scene changes, automatically switching to a corresponding thermal strategy configuration file. According to the invention, a customization strategy is provided according to a user scene to optimize experience; the equipment temperature is monitored and adjusted in real time and is kept in an optimal range; predicting and adjusting a temperature trend by using an algorithm, and protecting equipment performance and service life; recording a temperature log, and helping to analyze and improve a thermal strategy; fault diagnosis is integrated, problems are rapidly positioned, shutdown is reduced, and maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of electronic communication technology, and in particular to a temperature adjustment method and system based on electronic equipment scenarios. Background Art

[0002] With the rapid development of modern science and technology, the continuous advancement of fast charging technology and the significant improvement in the performance of mobile phone processors have inevitably led to the intensification of the heating phenomenon of mobile phones during use. Especially when performing high-load tasks, the heating problem of mobile phones becomes more obvious. This is because the processor consumes more power and generates more heat when processing large amounts of data and running complex applications. At the same time, while fast charging technology quickly replenishes energy for mobile phones, it will also cause the temperature of the device to rise due to high power input (especially high current input).

[0003] To address this problem, smartphones are usually equipped with an intelligent temperature control system. When the device detects that the temperature is close to the preset safety threshold, the system automatically reduces the charging power to reduce heat generation. In this way, the phone can effectively reduce its own temperature and avoid damage to internal components due to overheating. This dynamic adjustment process between temperature and charging power is actually a self-protection mechanism that ensures that the phone operates within a safe temperature range.

[0004] However, temperature control is crucial to the performance and lifespan of smartphones. If the device temperature is too high, it will not only cause accelerated hardware aging and shorten the lifespan of the device, but may also cause safety issues such as battery swelling or even explosion. On the other hand, temperature limits will also have a certain impact on the performance of the phone. In some cases, in order to prevent overheating, the phone may reduce the operating frequency of the processor, affecting the fluency of the application and multitasking capabilities.

[0005] Therefore, how to balance temperature control and performance in different usage scenarios has become a key issue that needs to be considered in the design and optimization of smartphones. Manufacturers need to optimize temperature control strategies as much as possible to provide the best user experience while ensuring the safe operation of the device. This may involve improvements in hardware design, optimization of software algorithms, and innovation in heat dissipation technology. Through these comprehensive measures, smartphones can effectively control temperature and extend the service life of the device while maintaining high performance. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention discloses a temperature adjustment method and system based on electronic device scenarios, which are used to solve the above problems.

[0007] The present invention is achieved through the following technical solutions:

[0008] In a first aspect, the present invention provides a temperature adjustment method based on an electronic device scenario, characterized in that it comprises the following steps:

[0009] According to customer needs, set the scene type of electronic equipment and preset thermal strategy according to the scene type;

[0010] Detect the current state of the electronic device, and determine the scene type in which the electronic device is currently located based on the detection result;

[0011] According to the scenario type, select the corresponding profile from the preset thermal strategy profiles to adjust the temperature control threshold and CPU frequency;

[0012] Continuously monitor the device status and automatically switch to the corresponding thermal policy profile if the scenario changes.

[0013] Furthermore, in the method, the preset thermal strategy adopts the default configuration file thermal-engine.conf. When the user turns on the computer, the electronic device system will automatically load and apply the configuration in the thermal-engine.conf file, and dynamically adjust the CPU frequency according to the preset temperature control threshold to achieve an effective balance between performance and temperature.

[0014] Furthermore, in the method, the thermal strategy is as follows:

[0015] When the charging of an electronic device is detected, the charging power is 15W or 33W, and the platform switches to thermal-engine-charge-15.conf or thermal-engine-charge-33.conf to set the temperature control threshold to adjust the CPU frequency;

[0016] When the screen of an electronic device is detected to be off, switch the platform to switch thermal-engine-screenoff.conf to set the temperature control threshold to adjust the CPU frequency

[0017] When it is detected that the user is on the desktop or opens a small application, the platform switches to thermal-engine.conf to set the temperature control threshold to adjust the CPU frequency;

[0018] When it is detected that the user opens the camera, the platform switches to thermal-engine-camera.conf to set the temperature control threshold to adjust the CPU frequency;

[0019] When it is detected that the user opens a large application, the platform switches to thermal-engine-app.conf to set the temperature control threshold to adjust the CPU frequency;

[0020] When it is detected that the user opens a game application, the platform switches to thermal-engine-game.conf to set the temperature control threshold to adjust the CPU frequency.

[0021] Furthermore, in the method, the thermal strategy also includes temperature monitoring of specific hardware components. When it is detected that the battery temperature exceeds a preset safety threshold, the system will automatically reduce the CPU frequency to reduce battery consumption.

[0022] Furthermore, in the method, the thermal strategy also includes monitoring of the ambient temperature. When the ambient temperature is too high, the system will automatically adjust the temperature control strategy of the device to avoid overheating of the electronic equipment due to excessively high external temperature.

[0023] Furthermore, in the method, the thermal strategy also includes learning and predicting the user's usage habits. The system analyzes the user's historical usage data, predicts the user's possible usage scenarios, and adjusts the thermal strategy in advance to achieve more intelligent and personalized temperature regulation.

[0024] Furthermore, in the method, through machine learning algorithms, the thermal policy profile is continuously optimized to adapt to changes in different users and usage environments. By collecting and analyzing a large amount of user data, the system can identify the behavior patterns and device usage habits of specific users, and then predict possible future usage scenarios, adjust the temperature control strategy in advance, and ensure that the device can maintain optimal performance and temperature balance under various conditions.

[0025] Furthermore, in the method, when optimizing the thermal strategy configuration file, the following steps are included:

[0026] Integrate temperature sensors in electronic equipment systems to monitor the temperature of key components of the equipment in real time;

[0027] Establish a temperature database to record the temperature changes of each component in different scenarios and provide data support for subsequent analysis;

[0028] Use machine learning algorithms to analyze temperature data and identify the temperature change patterns of the device in different usage scenarios;

[0029] Based on the analysis results, optimize the thermal policy configuration file to adapt to the temperature control requirements of the equipment in various usage scenarios;

[0030] Continuously monitor the status of the equipment and automatically adjust the temperature control strategy when abnormal temperature is detected to ensure safe operation of the equipment;

[0031] Providing temperature adjustment options through the user interface, allowing users to manually adjust temperature settings based on personal needs;

[0032] Regularly update the thermal policy configuration file to adapt to changes brought about by hardware upgrades and software updates to ensure that the temperature regulation strategy is always in the best state.

[0033] In a second aspect, the present invention provides a temperature control system based on an electronic device scenario, comprising a processor, a memory, and a program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the program, the temperature control method based on the electronic device scenario described in the first aspect is implemented.

[0034] Furthermore, the system is integrated with a temperature sensor for obtaining a real-time temperature value of the electronic device.

[0035] The beneficial effects of the present invention are:

[0036] This document divides the user's usage scenarios in great detail, configures different strategies for different scenarios, and achieves the best user experience; real-time monitoring and intelligent adjustment ensure that the device can remain within the optimal temperature range under various workloads and environmental conditions; predicts the temperature trend of the device through intelligent algorithms, and makes temperature control adjustments in advance to avoid the impact of excessively high or low temperatures on device performance and life; provides a detailed temperature log recording function to facilitate users and developers to analyze the temperature change history of the device and further optimize thermal strategies; integrates a fault diagnosis mechanism in the system, and when the temperature is abnormal, it can quickly locate the source of the problem, reduce equipment downtime, and improve maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 This is a principle step diagram of the temperature adjustment method based on the electronic device scenario of the present invention;

[0039] Figure 2 It is a flow chart of the temperature adjustment method based on the electronic device scenario of the present invention;

[0040] Figure 3 It is a principle block diagram of the temperature regulation system based on the electronic equipment scenario of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In one embodiment, please refer to Figure 1 As shown, a temperature adjustment method based on an electronic device scenario is provided, characterized in that it includes the following steps:

[0043] According to customer needs, set the scene type of electronic equipment and preset thermal strategy according to the scene type;

[0044] Detect the current state of the electronic device, and determine the scene type in which the electronic device is currently located based on the detection result;

[0045] According to the scenario type, select the corresponding profile from the preset thermal strategy profiles to adjust the temperature control threshold and CPU frequency;

[0046] Continuously monitor the device status and automatically switch to the corresponding thermal policy profile if the scenario changes.

[0047] In one embodiment, referring to Figure 2 As shown in the figure, when the project is developed, different thermal strategies are configured for the above scenarios respectively, and the default is thermal-engine.conf. When the user starts the machine, thermal-engine.conf is used. The platform will adjust the CPU frequency according to the temperature control threshold set in the configuration of thermal-engine.conf to achieve a balance between performance and temperature. Then, different thermal configuration strategies are switched according to the scenario of the user's operation, and intelligent dynamic adjustment is performed according to the following 6 parts.

[0048] i. When the user is detected charging, the charging power is 15W or 33W, and the platform switches to thermal-engine-charge-15.conf or thermal-engine-charge-33.conf to set the temperature control threshold to adjust the CPU frequency.

[0049] ii. When the phone screen is detected to be off, switch the platform to switch thermal-engine-screenoff.conf to set the temperature control threshold to adjust the CPU frequency.

[0050] iii. When it is detected that the user is on the desktop or opens a small application (alarm, calendar, information, etc.), switch the platform to switch thermal-engine.conf to set the temperature control threshold to adjust the CPU frequency.

[0051] iv. When it is detected that the user opens the camera, switch the platform to switch thermal-engine-camera.conf to set the temperature control threshold to adjust the CPU frequency.

[0052] v. When it is detected that the user opens a large application (TikTok, Kuaishou, iQiyi, etc.), switch the platform to switch thermal-engine-app.conf to set the temperature control threshold to adjust the CPU frequency.

[0053] vi. When it is detected that the user opens a game application, switch the platform to switch thermal-engine-game.conf to set the temperature control threshold to adjust the CPU frequency.

[0054] Through real-time monitoring of the above multiple scenarios, the thermal policy configuration is switched according to the user's operation, and automatically adjusted to achieve the optimal CPU allocation and temperature control to achieve the best user experience.

[0055] In one embodiment, the preset thermal strategy follows the specification of the default configuration file thermal-engine.conf. When the user starts the electronic device, the system will automatically load and execute the settings in the configuration file. Based on the temperature control threshold preset in the file, the system will dynamically adjust the operating frequency of the CPU to achieve a fine balance between the performance and temperature of the electronic device, ensuring that the device runs efficiently and stably.

[0056] In one embodiment, the thermal policy is not limited to the temperature management of the entire device, but also includes detailed temperature monitoring of specific hardware components. Specifically, when the system detects that the temperature of the battery exceeds the preset safety threshold, it will immediately take corresponding measures to ensure the safe operation of the device. These measures include automatically reducing the operating frequency of the CPU, thereby reducing battery consumption and avoiding potential damage caused by overheating. This intelligent temperature management mechanism can effectively balance device performance and battery life, ensuring that users can enjoy a smooth experience during use while avoiding safety hazards caused by high temperature.

[0057] In one embodiment, the thermal strategy is not limited to the temperature management of the device itself, but also includes real-time monitoring and detection of the ambient temperature. Specifically, when the ambient temperature reaches a high level, the system will automatically initiate a series of temperature control measures to ensure that the device can operate within a safe temperature range. The core purpose of this strategy is to prevent electronic equipment from overheating due to excessively high external ambient temperatures. Through this intelligent temperature regulation mechanism, the system can effectively protect the device from high temperature damage, extend the service life of the device, and ensure that the device can operate stably under various environmental conditions.

[0058] In one embodiment, the implementation of thermal policies is not limited to basic temperature adjustment, but also includes in-depth learning and accurate prediction of user usage habits. By carefully analyzing the user's historical usage data, the system can gain insight into the user's usage patterns and preferences, thereby predicting the user's possible usage scenarios. Based on these predictions, the system can adjust the thermal policy in advance to ensure that the temperature adjustment is already in the best state when the user actually uses the device. This intelligent and personalized temperature adjustment method not only improves the user experience, but also optimizes the performance and energy efficiency of the device, making the entire system more efficient and user-friendly.

[0059] In one embodiment, through machine learning algorithms, the thermal policy profile is continuously optimized to adapt to changes in different users and usage environments. By collecting and analyzing a large amount of user data, the system can identify the behavior patterns and device usage habits of specific users, and then predict possible future usage scenarios, adjust the temperature control strategy in advance, and ensure that the device can maintain optimal performance and temperature balance under various conditions.

[0060] This embodiment further optimizes the thermal strategy configuration file by including the following steps:

[0061] Integrate temperature sensors in electronic equipment systems to monitor the temperature of key components of the equipment in real time;

[0062] Establish a temperature database to record the temperature changes of each component in different scenarios and provide data support for subsequent analysis;

[0063] Use machine learning algorithms to analyze temperature data and identify the temperature change patterns of the device in different usage scenarios;

[0064] Based on the analysis results, optimize the thermal policy configuration file to adapt to the temperature control requirements of the equipment in various usage scenarios;

[0065] Continuously monitor the status of the equipment and automatically adjust the temperature control strategy when abnormal temperature is detected to ensure safe operation of the equipment;

[0066] Providing temperature adjustment options through the user interface, allowing users to manually adjust temperature settings based on personal needs;

[0067] Regularly update the thermal policy configuration file to adapt to changes brought about by hardware upgrades and software updates to ensure that the temperature regulation strategy is always in the best state.

[0068] In another embodiment, the optimization of thermal strategy also involves intelligent identification and adaptation to the environment in which the device is used. The system can obtain real-time information such as temperature, humidity, and light of the environment in which the device is located through built-in sensors and external data sources. For example, when the device detects that the user is in a high temperature and high humidity environment, the system will automatically adjust the temperature control strategy to prevent the device from overheating or being damaged by excessive humidity. In addition, the system can also automatically adjust the temperature control strategy according to the seasonal changes in the user's area to adapt to the changes in ambient temperature in different seasons.

[0069] In a further embodiment, the optimization of the thermal strategy also includes dynamic monitoring of the device usage frequency and load. The system can monitor the usage frequency and load of key components such as the CPU and GPU in real time, and dynamically adjust the temperature control strategy according to the real-time working status of the device. For example, when the device load is light, the system will lower the temperature control threshold to reduce unnecessary energy consumption; when the device load is heavy, the system will increase the temperature control threshold to ensure that the device maintains good temperature control while running at high performance.

[0070] To further enhance the user experience, the implementation of thermal strategies also includes intelligent prediction and optimization of device usage scenarios. By analyzing the user's usage habits and historical data, the system can predict the user's possible usage scenarios and adjust the temperature control strategy in advance. For example, when the system predicts that the user is about to perform high-load operations such as gaming or video playback, it will lower the temperature control threshold in advance to ensure that the device can still maintain good temperature control and performance output under high load.

[0071] Finally, in order to ensure the continuous optimization and adaptability of the thermal strategy, the system also has the ability to self-learn and self-adjust. Through machine learning algorithms, the system can continuously learn from user usage data, identify new usage patterns and temperature change patterns, and optimize the thermal strategy configuration file accordingly. This self-learning and self-adjustment capability enables the system to continuously adapt to changes in user usage habits and upgrades in device performance, ensuring that the device can provide the best temperature control and user experience in various usage scenarios.

[0072] In one embodiment, referring to Figure 3As shown, the present invention provides a temperature control system based on an electronic device scenario, comprising a processor, a memory, and a program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the program, a temperature control method based on an electronic device scenario is implemented.

[0073] The system of this embodiment further integrates a temperature sensor for obtaining a real-time temperature value of the electronic device.

[0074] In summary, this paper divides the user's usage scenarios in detail, configures different strategies for different scenarios to achieve the best user experience; real-time monitoring and intelligent adjustment ensure that the device can remain in the optimal temperature range under various workloads and environmental conditions; predicts the temperature trend of the device through intelligent algorithms, and adjusts the temperature control in advance to avoid the impact of high or low temperature on device performance and life; provides detailed temperature logging function to facilitate users and developers to analyze the temperature change history of the device and further optimize thermal strategies; integrates a fault diagnosis mechanism in the system, and when the temperature is abnormal, it can quickly locate the source of the problem, reduce equipment downtime, and improve maintenance efficiency.

[0075] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A temperature adjustment method based on an electronic device scenario, characterized in that: The following steps are involved: According to customer needs, set the scene type of electronic equipment and preset thermal strategy according to the scene type; Detect the current state of the electronic device, and determine the scene type in which the electronic device is currently located based on the detection result; According to the scenario type, select the corresponding profile from the preset thermal strategy profiles to adjust the temperature control threshold and CPU frequency; Continuously monitor the device status and automatically switch to the corresponding thermal policy profile if the scenario changes.

2. The temperature adjustment method based on electronic equipment scenario according to claim 1 is characterized in that: In the method, the preset thermal strategy uses the default configuration file thermal-engine.conf. When the user turns on the computer, the electronic device system will automatically load and apply the configuration in the thermal-engine.conf file, and dynamically adjust the CPU frequency according to the preset temperature control threshold to achieve an effective balance between performance and temperature.

3. The temperature adjustment method based on electronic equipment scenario according to claim 1, characterized in that: In the method, the thermal strategy is as follows: When the charging of an electronic device is detected, the charging power is 15W or 33W, and the platform switches to thermal-engine-charge-15.conf or thermal-engine-charge-33.conf to set the temperature control threshold to adjust the CPU frequency; When the screen of an electronic device is detected to be off, switch the platform to switch thermal-engine-scree noff.conf to set the temperature control threshold to adjust the CPU frequency When it is detected that the user is on the desktop or opens a small application, the platform switches to thermal-engine.conf to set the temperature control threshold to adjust the CPU frequency; When it is detected that the user opens the camera, the platform switches to thermal-engine-camera.conf to set the temperature control threshold to adjust the CPU frequency; When it is detected that the user opens a large application, the platform switches to thermal-engine-app.conf to set the temperature control threshold to adjust the CPU frequency; When it is detected that the user opens a game application, the platform switches to thermal-engine-game.conf to set the temperature control threshold to adjust the CPU frequency.

4. The temperature adjustment method based on electronic equipment scenario according to claim 3 is characterized in that: In the method, the thermal strategy also includes temperature monitoring of specific hardware components. When it is detected that the battery temperature exceeds a preset safety threshold, the system will automatically reduce the CPU frequency to reduce battery consumption.

5. The temperature adjustment method based on electronic equipment scenario according to claim 4 is characterized in that: In the method, the thermal strategy also includes monitoring of the ambient temperature. When the ambient temperature is too high, the system will automatically adjust the temperature control strategy of the device to avoid overheating of the electronic equipment due to excessively high external temperature.

6. The temperature adjustment method based on electronic equipment scenario according to claim 3 is characterized in that: In the method, the thermal strategy also includes learning and predicting the user's usage habits. The system analyzes the user's historical usage data, predicts the user's possible usage scenarios, and adjusts the thermal strategy in advance to achieve more intelligent and personalized temperature regulation.

7. The temperature adjustment method based on electronic equipment scenario according to claim 6, characterized in that: In the method, the thermal policy profile is continuously optimized through a machine learning algorithm to adapt to changes in different users and usage environments. By collecting and analyzing a large amount of user data, the system can identify the behavior patterns and device usage habits of specific users, and then predict possible future usage scenarios, adjust the temperature control strategy in advance, and ensure that the device can maintain optimal performance and temperature balance under various conditions.

8. The temperature adjustment method based on electronic equipment scenario according to claim 7, characterized in that: In the method, when optimizing the thermal strategy configuration file, the following steps are included: Integrate temperature sensors in electronic equipment systems to monitor the temperature of key components of the equipment in real time; Establish a temperature database to record the temperature changes of each component in different scenarios and provide data support for subsequent analysis; Use machine learning algorithms to analyze temperature data and identify the temperature change patterns of the device in different usage scenarios; Based on the analysis results, optimize the thermal policy configuration file to adapt to the temperature control requirements of the equipment in various usage scenarios; Continuously monitor the status of the equipment and automatically adjust the temperature control strategy when abnormal temperature is detected to ensure safe operation of the equipment; Providing temperature adjustment options through the user interface, allowing users to manually adjust temperature settings based on personal needs; Regularly update the thermal policy configuration file to adapt to changes brought about by hardware upgrades and software updates to ensure that the temperature regulation strategy is always in the best state.

9. A temperature adjustment system based on electronic equipment scene, characterized in that: It includes a processor, a memory, and a program stored in the memory and configured to be executed by the processor, the memory is coupled to the processor, and when the processor executes the program, the temperature adjustment method based on the electronic device scene as described in any one of claims 1 to 9 is implemented.

10. The temperature adjustment system based on electronic equipment scenario according to claim 9, characterized in that: The system is integrated with a temperature sensor for obtaining the real-time temperature value of the electronic device.

Images