Mobile phone backlight source adaptive energy-saving control system and control method

Abstract

The invention discloses a mobile phone backlight source self-adaptive energy-saving control system and a control method, and relates to the technical field of mobile phone control, ambient brightness, distance assignment and operation influence factors are substituted into a multi-source analysis model, the multi-source analysis model judges whether the adjustment response delay duration needs to be dynamically adjusted, if yes, the adjustment response delay duration needs to be dynamically adjusted, and if not, the adjustment response delay duration needs to be dynamically adjusted. And if not, dynamically adjusting the adjustment response delay duration through an adjustment algorithm to obtain a correction adjustment response delay duration, and when the user manually adjusts the brightness of the mobile phone backlight source, changing the current brightness of the mobile phone backlight source into the user adjustment brightness after the correction adjustment response delay duration. The control system dynamically and adaptively adjusts the response delay duration by combining the current use environment of the user and the condition of the mobile phone, so that the response delay duration is effectively prevented from being too long or too short, and the user experience is improved while the energy consumption of the mobile phone is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile phone control, and in particular to a mobile phone backlight source adaptive energy-saving control system and a control method. Background Art

[0002] The mobile phone backlight control system is a key component in mobile phone display technology. It is mainly used to adjust the brightness, color and energy efficiency of the mobile phone screen to ensure the best display effect in different usage scenarios while maximizing battery power saving. The backlight usually uses LED (light-emitting diode) as the light source, and the backlight control system controls the screen brightness and color by adjusting the working status of the LED.

[0003] When the existing control system manually adjusts the screen brightness, it is usually controlled according to a fixed adjustment response delay time. The fixed adjustment response delay time is set to make the screen brightness change linearly when adjusted, that is, when the user manually adjusts the screen brightness, the screen brightness will change after the adjustment response delay time (for example, when adjusting from the current brightness to the next brightness, assuming that the adjustment response delay time is 0.5s, it will take 0.5s to adjust from the current brightness to the next brightness). However, this adjustment method has the following defects:

[0004] 1. If the adjustment response delay is too long, the user may continue to adjust the brightness (increase or decrease the brightness) because the brightness change is not obvious. After the adjustment response delay, the screen brightness may suddenly increase or decrease. Especially when used at night, the sudden increase in screen brightness may cause glare, which brings a bad experience to users;

[0005] 2. If the adjustment response delay is too short, the mobile phone chip may need to perform quick calculations when the user adjusts the brightness. This will increase the energy consumption of the phone and cause the brightness adjustment to be less linear, resulting in brightness fluctuations when adjusting the brightness.

[0006] Based on this, the present invention proposes an adaptive energy-saving control system and control method for a mobile phone backlight source, which dynamically and adaptively adjusts the response delay time by combining the user's current usage environment and the mobile phone's own conditions, effectively avoiding the adjustment response delay time being too long or too short, effectively reducing the energy consumption of the mobile phone while improving the user experience. Summary of the invention

[0007] The purpose of the present invention is to provide a mobile phone backlight adaptive energy-saving control system and control method to solve the shortcomings of the background technology.

[0008] In order to achieve the above object, the present invention provides the following technical solution: a method for adaptive energy-saving control of a mobile phone backlight source, the control method comprising the following steps:

[0009] When the user is using the mobile phone, the control system senses the current ambient brightness through the mobile phone's light sensor and adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness;

[0010] When the user manually adjusts the brightness of the phone's backlight, the current distance between the user's face and the phone screen is obtained through the phone's front camera, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance value is generated by combining the current distance and the distances at multiple time points, and the phone's operating data is analyzed and the operating impact factor is output for the phone.

[0011] The ambient brightness, distance assignment and operation influencing factors are substituted into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

[0012] In a preferred embodiment, the ambient brightness, distance assignment, and operation influencing factors are substituted into the multi-source analysis model, and the multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time, including the following steps:

[0013] Substitute the ambient brightness, distance assignment and operation influencing factors into the multi-source analysis model, and the multi-source analysis model outputs the adjustment coefficient;

[0014] The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether it is necessary to reduce the adjustment response delay time. If the adjustment coefficient is less than or equal to the adjustment threshold, it is determined that there is no need to reduce the adjustment response delay time. If the adjustment coefficient is greater than the adjustment threshold, it is determined that the adjustment response delay time needs to be reduced.

[0015] In a preferred embodiment, the distance assignment is generated by combining the current distance with the distances at multiple time points, including the following steps:

[0016] Get the distance between the user and the phone screen at multiple time points in the previous time period, and generate a distance value by combining the current distance and the distances at multiple time points. First, calculate the average distance and distance standard deviation in the previous time period based on the distance between the user and the phone screen at multiple time points. Then, calculate the correction factor based on the average distance and distance standard deviation. The expression is: In the formula, jz s is the correction factor, jl q is the distance standard deviation, jlavg is the average distance, then the calculation expression for distance assignment is: In the formula, jl z Assign a value to the distance, jl dc Indicates the current distance between the user and the phone screen.

[0017] In a preferred embodiment, the average distance and the standard deviation of the distance in the previous time period are calculated by the distance between the user and the mobile phone screen at multiple time points, and the expression is:

[0018] In the formula, jl q is the distance standard deviation, jl avg is the average distance, n is the number of time points, jl i is the distance between the user and the mobile phone screen at the i-th time point.

[0019] In a preferred embodiment, analyzing the operation data of a mobile phone and outputting the operation influencing factors for the mobile phone comprises the following steps:

[0020] When the user adjusts the backlight of the mobile phone, the battery decrease rate and real-time temperature of the mobile phone are obtained, and the battery decrease rate and the real-time temperature are normalized so that the value range of the battery decrease rate and the real-time temperature is mapped to [0,1], and the normalized value of the battery decrease rate and the normalized value of the real-time temperature are obtained. The normalized value of the battery decrease rate and the normalized value of the real-time temperature are summed to obtain the operation influencing factor.

[0021] In a preferred embodiment, dynamically adjusting the adjustment response delay time length through an adjustment algorithm to obtain a modified adjustment response delay time length includes the following steps:

[0022] When it is determined that the adjustment response delay time needs to be reduced, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time, and the expression is:

[0023] In the formula, ycs new To correct the delay in adjusting the response, ycs old is the initial adjustment response delay time, ld x is the adjustment coefficient;

[0024] When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

[0025] In a preferred embodiment, the multi-source analysis model expression is: Where, ld x is the adjustment coefficient, jl zis the distance assignment, hjd is the ambient brightness, yxz is the operation influencing factor, α, β, γ are the proportional coefficients of the distance assignment, ambient brightness and operation influencing factor respectively, and α, β, γ are all greater than 0.

[0026] A mobile phone backlight adaptive energy-saving control system, comprising an adaptive brightness adjustment module, a distance analysis module, a mobile phone analysis module, and a dynamic adjustment module;

[0027] Adaptive brightness adjustment module: When the user uses the mobile phone, the mobile phone's light sensor senses the current ambient brightness and then adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness;

[0028] Distance analysis module: When the user manually adjusts the brightness of the phone's backlight, the current distance between the user's face and the phone screen is obtained through the phone's front camera, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance value is generated by combining the current distance with the distances at multiple time points;

[0029] Mobile phone analysis module: analyzes the operation data of the mobile phone and outputs the operation influencing factors for the mobile phone;

[0030] Dynamic adjustment module: The ambient brightness, distance assignment and operation influencing factors are substituted into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

[0031] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0032] The present invention substitutes the ambient brightness, distance assignment and operation influencing factors into the multi-source analysis model, and the multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time. The control system dynamically and adaptively adjusts the adjustment response delay time by combining the user's current use environment and the mobile phone's own conditions, effectively avoiding the adjustment response delay time being too long or too short, effectively reducing the energy consumption of the mobile phone while improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0034] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] Example 1

[0037] See also Figure 1 As shown, this embodiment provides a method for adaptively energy-saving control of a mobile phone backlight source, and the control method includes the following steps:

[0038] When a user uses a mobile phone, the control system senses the current ambient brightness through the mobile phone's light sensor, and then adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness. When the user manually adjusts the brightness of the mobile phone's backlight, the current distance between the user's face and the mobile phone screen is obtained through the mobile phone's front camera, and the distance between the user and the mobile phone screen at multiple time points in the previous time period is obtained. The distance assignment is generated by combining the current distance with the distances at multiple time points. Finally, the mobile phone's operating data is analyzed and an operating influencing factor is output for the mobile phone. The ambient brightness, distance assignment, and operating influencing factor are substituted into a multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone's backlight, the current brightness of the mobile phone's backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

[0039] This application substitutes the ambient brightness, distance assignment and operation influencing factors into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time. The control system dynamically and adaptively adjusts the adjustment response delay time by combining the user's current usage environment and the mobile phone's own conditions, effectively avoiding the adjustment response delay time being too long or too short, effectively reducing the energy consumption of the mobile phone while improving the user experience.

[0040] Example 2

[0041] When a user uses a mobile phone, the control system senses the current ambient brightness through the mobile phone's light sensor and adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness, including the following steps:

[0042] When a user uses a mobile phone, the control system senses the current ambient brightness through the mobile phone's light sensor, and the process of adaptively adjusting the brightness of the mobile phone's backlight source may include the following steps:

[0043] The system uses the built-in light sensor (usually a photoresistor or photodiode) of the mobile phone to monitor the light intensity in the current environment in real time. The light sensor converts the light intensity into an electrical signal, and the control system processes the signal to obtain the current ambient brightness value.

[0044] The system presets multiple brightness thresholds, usually including the following levels:

[0045] Low brightness threshold: for example at night or in low light environments.

[0046] Medium brightness threshold: for example, in an indoor environment with soft lighting.

[0047] High brightness threshold: For example, in outdoor environments under strong light or direct sunlight.

[0048] The control system will compare the current ambient brightness with these thresholds to determine which brightness level needs to be adjusted. The system automatically adjusts the screen backlight brightness based on the input signal from the light sensor. When changes in ambient light are detected, the system will make adjustments based on the following principles:

[0049] Low-light environments: Dim the backlight brightness to reduce energy consumption and avoid glare.

[0050] High-light environment: Increase the backlight brightness to ensure that the screen content is clearly visible under sunlight.

[0051] Medium light environment: Set the brightness to a moderate value to balance user experience and battery usage.

[0052] In order to avoid discomfort caused by sudden brightness changes, the system will use a smooth transition method to adjust the backlight brightness. This means that the system will set a slow transition time when adjusting the brightness, usually between a few hundred milliseconds and one second, to ensure that users will not feel uncomfortable due to sudden changes in brightness.

[0053] When the user manually adjusts the brightness of the phone backlight, the current distance between the user's face and the phone screen is obtained through the front camera of the phone, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance assignment is generated by combining the current distance and the distances at multiple time points, including the following steps:

[0054] When the user manually adjusts the brightness of the backlight of the mobile phone, the process of obtaining the current distance between the user's face and the mobile phone screen through the front camera of the mobile phone may include the following steps:

[0055] Start the front camera: The system starts the facial recognition or distance detection function through the front camera. The camera starts to capture images or video streams of the user's face in real time.

[0056] Face detection: The system identifies the location of the user's face through image processing techniques or machine learning algorithms. This is usually achieved through face detection algorithms (such as Haar Cascade, DNN, etc.). The system identifies the outline of the face and locates the key features of the face, such as the eyes, nose, and mouth.

[0057] Depth estimation: After acquiring the facial image, the system uses computer vision technology to perform depth estimation to determine the relative distance between the user's face and the screen. Commonly used technologies include:

[0058] Depth estimation based on a monocular camera: The distance is estimated by analyzing the size change of the face. For example, the larger the face, the closer it is; the smaller the face, the farther it is.

[0059] Leverage machine learning or deep neural networks: Use a trained model to estimate distance based on the relative position and size of the user's face in the image.

[0060] Calculating and processing distance information: The system converts facial information obtained through the front camera into physical distance. Usually, the system calculates the actual distance between the user and the phone screen based on the focal length of the camera and the actual size of the user's face, combined with the pixel size of the face in the camera image.

[0061] Dynamically update the distance between the face and the screen: As the user operates or moves, the system will continuously obtain and update the distance between the face and the phone screen. The system will track the face position in real time and adjust the distance measurement according to the changes to ensure that the distance information obtained is always the latest.

[0062] Get the distance between the user and the mobile phone screen at multiple time points in the previous time period, combine the current distance with the distances at multiple time points to generate a distance assignment, first calculate the average distance and distance standard deviation in the previous time period based on the distance between the user and the mobile phone screen at multiple time points. The expression is:

[0063] In the formula, jl q is the distance standard deviation, jl avg is the average distance, n is the number of time points, jl i is the distance between the user and the mobile phone screen at the i-th time point;

[0064] The correction factor is calculated by the average distance and the distance standard deviation. The expression is: In the formula, jz s is the correction factor, then the distance assignment calculation expression is: In the formula, jl z Assign a value to the distance, jl dc Indicates the current distance between the user and the phone screen.

[0065] In the distance assignment acquisition logic, the current distance indicates the distance when the user adjusts the brightness of the phone's backlight. However, in actual situations, the distance at which the user uses the phone at different time points may be inconsistent. Therefore, by calculating the average distance and distance standard deviation in the previous time period based on the user's distance from the phone screen at multiple time points, the user's habits when using the phone can be predicted based on the user's behavior in the previous time period, thereby improving the accuracy of distance prediction. The smaller the distance assignment, the closer the distance between the user and the phone, and the more it is necessary to increase the brightness adjustment response delay to avoid a bad experience for the user.

[0066] Analyzing the operation data of the mobile phone and outputting the operation impact factor for the mobile phone includes the following steps:

[0067] When the user adjusts the backlight of the mobile phone, the battery decrease rate and real-time temperature of the mobile phone are obtained, and the battery decrease rate and the real-time temperature are normalized so that the value range of the battery decrease rate and the real-time temperature is mapped to [0,1], and the normalized value of the battery decrease rate and the normalized value of the real-time temperature are obtained. The normalized value of the battery decrease rate and the normalized value of the real-time temperature are summed to obtain the operation influencing factor.

[0068] High rate of battery decline (rapid battery drain): When the battery decline rate is high, it means that the phone's battery is draining quickly, usually when performing resource-intensive tasks or turning on high brightness. In this case, shortening the brightness adjustment response delay may cause the screen brightness to be adjusted too frequently, resulting in further battery consumption. To save battery power, avoid shortening the response delay time and keep a longer delay time to give the system more time to adjust the brightness according to the actual environment and needs, and avoid battery consumption caused by excessive adjustments.

[0069] Low rate of battery decline (battery power is stable or declining slowly): When the battery power decline rate is low, it means that the battery still has enough power or is in a low power consumption state. At this time, the brightness adjustment response delay time can be appropriately shortened so that the screen can respond more quickly to changes in ambient light or user adjustment needs without significantly affecting battery life.

[0070] High temperature (device overheating): When the device temperature is high, it usually means that the phone is under high load or using resource-intensive applications for a long time (such as high-brightness display, games or video playback). In this case, shortening the brightness adjustment response delay may increase the burden on the device, which in turn may lead to aggravated overheating and may even trigger the thermal protection mechanism, affecting the stability and performance of the device. Therefore, when the device temperature is high, the brightness adjustment response delay should not be shortened, and the delay time should be increased to relieve the device load and avoid overheating.

[0071] Low temperature (moderate device temperature or low temperature environment): When the device is at a low temperature or the temperature is within the normal range, the device's heat dissipation is relatively good and the system runs stably. At this time, shortening the brightness adjustment response delay will not burden the device, and can increase the sensitivity of brightness adjustment and improve user experience. Therefore, when the temperature is low or the device temperature is moderate, the brightness adjustment response delay can be appropriately shortened to provide faster brightness adjustment.

[0072] Substituting the ambient brightness, distance assignment, and operation influencing factors into the multi-source analysis model, the multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time, including the following steps:

[0073] The lower the ambient brightness, the worse the lighting conditions are, and the more you need to reduce the adjustment response delay time to make the brightness adjustment respond quickly;

[0074] The smaller the distance value, the closer the user is to the phone, and the longer the response delay needs to be adjusted.

[0075] The smaller the operation impact factor, the better the overall operation condition of the mobile phone, and the adjustment response delay time can be reduced. The larger the operation impact factor, the worse the overall operation condition of the mobile phone, and the adjustment response delay time needs to be increased.

[0076] Substitute the ambient brightness, distance assignment and operation influencing factors into the multi-source analysis model. The expression of the multi-source analysis model is: Where, ld x is the adjustment coefficient, jl z is the distance assignment, hjd is the ambient brightness, yxz is the operation influencing factor, α, β, γ are the proportional coefficients of the distance assignment, ambient brightness and operation influencing factor respectively, and α, β, γ are all greater than 0;

[0077] The larger the adjustment coefficient, the more it is necessary to reduce the adjustment response delay time. The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the adjustment response delay time needs to be reduced. If the adjustment coefficient is less than or equal to the adjustment threshold, it is determined that the adjustment response delay time does not need to be reduced. If the adjustment coefficient is greater than the adjustment threshold, it is determined that the adjustment response delay time needs to be reduced.

[0078] If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time, including the following steps:

[0079] When it is determined that the adjustment response delay time needs to be reduced, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time, and the expression is:

[0080] In the formula, ycs new To correct the delay in adjusting the response, ycs old is the initial adjustment response delay time, ld x is the adjustment coefficient.

[0081] Example 3

[0082] This embodiment provides a mobile phone backlight adaptive energy-saving control system, including an adaptive brightness adjustment module, a distance analysis module, a mobile phone analysis module, and a dynamic adjustment module;

[0083] Adaptive brightness adjustment module: When the user uses the mobile phone, the mobile phone's light sensor senses the current ambient brightness and then adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness. The current brightness of the mobile phone's backlight and the ambient brightness are sent to the dynamic adjustment module;

[0084] Distance analysis module: When the user manually adjusts the brightness of the phone's backlight, the current distance between the user's face and the phone screen is obtained through the phone's front camera, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance assignment is generated by combining the current distance with the distances at multiple time points, and the distance assignment occurs in the dynamic adjustment module;

[0085] Mobile phone analysis module: analyzes the operation data of the mobile phone and outputs the operation impact factor for the mobile phone, and the operation impact factor is sent to the dynamic adjustment module;

[0086] Dynamic adjustment module: The ambient brightness, distance assignment and operation influencing factors are substituted into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

[0087] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0088] It should be understood that the term "and / or" in this article only describes the association relationship of associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0089] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0090] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0091] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for adaptive energy-saving control of a mobile phone backlight source, characterized in that: The control method comprises the following steps: When the user is using the mobile phone, the control system senses the current ambient brightness through the mobile phone's light sensor and adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness; When the user manually adjusts the brightness of the phone's backlight, the current distance between the user's face and the phone screen is obtained through the phone's front camera, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance value is generated by combining the current distance and the distances at multiple time points, and the phone's operating data is analyzed and the operating impact factor is output for the phone. The ambient brightness, distance assignment and operation influencing factors are substituted into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

2. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 1, characterized in that: Substituting the ambient brightness, distance assignment, and operation influencing factors into the multi-source analysis model, the multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time, including the following steps: Substitute the ambient brightness, distance assignment and operation influencing factors into the multi-source analysis model, and the multi-source analysis model outputs the adjustment coefficient; The obtained adjustment coefficient is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether it is necessary to reduce the adjustment response delay time. If the adjustment coefficient is less than or equal to the adjustment threshold, it is determined that there is no need to reduce the adjustment response delay time. If the adjustment coefficient is greater than the adjustment threshold, it is determined that the adjustment response delay time needs to be reduced.

3. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 2, characterized in that: Combining the current distance with the distances at multiple time points to generate a distance assignment includes the following steps: Get the distance between the user and the phone screen at multiple time points in the previous time period, and generate a distance value by combining the current distance and the distances at multiple time points. First, calculate the average distance and distance standard deviation in the previous time period based on the distance between the user and the phone screen at multiple time points. Then, calculate the correction factor based on the average distance and distance standard deviation. The expression is: In the formula, jz s is the correction factor, jl q is the distance standard deviation, jl avg is the average distance, then the distance assignment calculation expression is: In the formula, jl z Assign a value to the distance, jl dc Indicates the current distance between the user and the phone screen.

4. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 3, characterized in that: The average distance and standard deviation of the distance in the previous time period are calculated by the distance between the user and the mobile phone screen at multiple time points. The expression is: In the formula, jl q is the distance standard deviation, jl avg is the average distance, n is the number of time points, jl i is the distance between the user and the mobile phone screen at the i-th time point.

5. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 4, characterized in that: Analyzing the operation data of the mobile phone and outputting the operation impact factor for the mobile phone includes the following steps: When the user adjusts the backlight of the mobile phone, the battery decrease rate and real-time temperature of the mobile phone are obtained, and the battery decrease rate and the real-time temperature are normalized so that the value range of the battery decrease rate and the real-time temperature is mapped to [0,1], and the normalized value of the battery decrease rate and the normalized value of the real-time temperature are obtained. The normalized value of the battery decrease rate and the normalized value of the real-time temperature are summed to obtain the operation influencing factor.

6. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 2, characterized in that: Dynamically adjusting the adjustment response delay time by using an adjustment algorithm to obtain a corrected adjustment response delay time includes the following steps: When it is determined that the adjustment response delay time needs to be reduced, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time, and the expression is: In the formula, ycs new To correct the delay in adjusting the response, ycs old is the initial adjustment response delay time, ld x is the adjustment coefficient; When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

7. The method for adaptive energy-saving control of a mobile phone backlight source according to claim 6, characterized in that: The multi-source analysis model expression is: Where, ld x is the adjustment coefficient, jl z is the distance assignment, hjd is the ambient brightness, yxz is the operation influencing factor, α, β, γ are the proportional coefficients of the distance assignment, ambient brightness and operation influencing factor respectively, and α, β, γ are all greater than 0.

8. A mobile phone backlight adaptive energy-saving control system, used to implement the mobile phone backlight adaptive energy-saving control method according to any one of claims 1 to 7, characterized in that: Including adaptive brightness adjustment module, distance analysis module, mobile phone analysis module, dynamic adjustment module; Adaptive brightness adjustment module: When the user uses the mobile phone, the mobile phone's light sensor senses the current ambient brightness and then adaptively adjusts the brightness of the mobile phone's backlight according to the ambient brightness; Distance analysis module: When the user manually adjusts the brightness of the phone's backlight, the current distance between the user's face and the phone screen is obtained through the phone's front camera, and the distance between the user and the phone screen at multiple time points in the previous time period is obtained. The distance value is generated by combining the current distance with the distances at multiple time points; Mobile phone analysis module: analyzes the operation data of the mobile phone and outputs the operation influencing factors for the mobile phone; Dynamic adjustment module: The ambient brightness, distance assignment and operation influencing factors are substituted into the multi-source analysis model. The multi-source analysis model determines whether it is necessary to dynamically adjust the adjustment response delay time. If necessary, the adjustment response delay time is dynamically adjusted through the adjustment algorithm to obtain the corrected adjustment response delay time. When the user manually adjusts the brightness of the mobile phone backlight, the current brightness of the mobile phone backlight changes to the user-adjusted brightness after the corrected adjustment response delay time.

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