A method and system for intelligent dynamic adjustment of LED backlight brightness

Abstract

The invention discloses a method and system for intelligent dynamic adjustment of the brightness of an LED backlight source, and relates to the technical field of intelligent dynamic adjustment. During operation of the system, the light intensity of the surrounding environment is monitored in real time, and the user's approach or departure state is detected to determine whether the user is approaching or leaving a mirror. By real-time monitoring of the internal state of the system, an ambient light information group, a user situation information group and a system state information group are generated, and preprocessing is performed, and then the following backlight source brightness adjustment index Bgyt is obtained by post-calculation. The backlight source brightness adjustment index Bgyt is compared with a preset brightness threshold M and a preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness, and an interface is provided for users to adjust system parameters and view the current working state, allowing users to manually set the sensitivity of brightness adjustment or turn on or off the automatic adjustment function, and an operation interface for interaction is provided so that users can perform personalized settings in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent dynamic adjustment, and in particular to a method and system for intelligent dynamic adjustment of the brightness of an LED backlight source. Background Art

[0002] With the popularity of smart homes, smart mirrors have gradually become an important part of modern home life. Smart mirrors can not only display information such as time, weather, and news, but also have entertainment and health management functions. However, as an important part of smart mirrors, the brightness control of LED backlights directly affects the user experience. Users are easily affected by insufficient external light during makeup / shaving and beauty processes. Traditional LED backlight brightness adjustment methods are usually relatively simple and can only be adjusted manually or according to a preset fixed mode, which is difficult to meet the needs of users in different lighting environments. At this time, an LED backlight brightness intelligent dynamic adjustment system came into being, which improves the user experience by intelligently adjusting the LED backlight brightness.

[0003] An intelligent dynamic adjustment system for the brightness of an LED backlight source can effectively solve the shortcomings of traditional brightness adjustment methods. Traditional systems often lack comprehensive consideration of ambient light, user usage, and the internal state of the system, resulting in inaccurate brightness adjustment and failure to provide the best lighting effect. By real-time monitoring of ambient light, user activity, and system status, the system can dynamically adjust the backlight brightness to provide users with the best visual experience and energy-saving effects. At the same time, the system also allows users to manually adjust and personalize settings to meet the special needs of different users. Therefore, this intelligent dynamic adjustment system not only improves the functionality and user experience of smart mirrors, but also overcomes many defects in the prior art. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for intelligently and dynamically adjusting the brightness of an LED backlight source, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an LED backlight source brightness intelligent dynamic adjustment system, including an ambient light sensor module, a user detection module, a system status monitoring module, an LED driving module, a brightness control evaluation module and a user interface module;

[0006] The ambient light sensor module is used to monitor the light intensity of the surrounding environment in real time, detect changes in ambient light, collect data including: ambient light intensity, light change rate, light direction, daytime light cycle and ambient light noise, form an ambient light information group, and transmit the detected ambient light information group to the LED driver module for processing and analysis;

[0007] The user detection module is used to detect the user approaching or leaving the mirror, determine whether the user is approaching or leaving the mirror, obtain data including: user approach distance, usage duration, usage frequency, user activity mode and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driving module for processing and analysis;

[0008] The system status monitoring module is used to monitor the internal status of the system in real time, collect data including: current backlight brightness, backlight brightness change, power supply voltage, system temperature and historical brightness setting, form a system status information group, and transmit the detected system status information group to the LED driver module for processing and analysis;

[0009] The LED driving module is used to pre-process the data of the ambient light information group, the user situation information group and the system status information group. The pre-processing steps include data cleaning, data filtering, data normalization and feature extraction. The pre-processed data is calculated to obtain: the backlight brightness adjustment index Bgyt;

[0010] The brightness control evaluation module is used to receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness;

[0011] The user interface module is used to provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn on or off the automatic adjustment function, record ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

[0012] Preferably, the ambient light sensor module comprises an ambient light sensing unit;

[0013] The ambient light sensing unit is used to monitor the light intensity in the environment, the speed of light intensity change, obtain the cycle of light intensity throughout the day according to time changes, and measure the noise level in the ambient light through sensors in real time, and obtain: ambient light intensity value Hjqd, light change rate value Bhsl, daytime light cycle Gxzq and ambient light noise value Gxzs as ambient light information groups, and transmit them to the LED driving module for processing and analysis.

[0014] Preferably, the user detection module includes a user detection unit;

[0015] The user detection unit is used to monitor the distance between the user and the mirror through a sensor, identify the user through face recognition or other biometric technology, collect user identification data, including: approach distance data, monitor the user's stay time in front of the mirror, record the user's frequency of using the mirror, detect and analyze the user's activity pattern, and obtain: user approach distance Jjjl, usage time Sysc, usage frequency Sypl, user approach speed Yhjj and user's stay time in front of the mirror Jqtl as a user situation information group, and transmit it to the LED driving module for processing and analysis.

[0016] Preferably, the system status monitoring module includes a system internal status monitoring unit;

[0017] The system internal status monitoring unit is used to measure the current LED backlight brightness value in real time through a sensor, record the changing trend of the backlight brightness over time, detect the system power supply voltage value in real time, measure the internal temperature of the system in real time through a temperature sensor, collect the system status, and obtain: the current backlight brightness Dqld, the backlight adjustment frequency Bgpl, the power supply voltage value Dydy, the system internal temperature Xtwd and the historical backlight average brightness Lspj as a system status information group, and transmit it to the LED driving module for processing and analysis.

[0018] Preferably, the LED driving module includes a data preprocessing unit and a brightness adjustment calculation unit;

[0019] The data preprocessing unit is used to process the data obtained from the ambient light information group, the user situation information group and the system status information group, remove abnormal values ​​and noise, smooth the data, convert data of different ranges to a uniform range, and extract features from the preprocessed data;

[0020] The brightness adjustment calculation unit is used to receive the ambient light information group, the user situation information group and the system status information group processed by the data pre-processing unit, and calculate: the backlight brightness adjustment index Bgyt, the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system status coefficient Xtzt;

[0021] The backlight source brightness adjustment index Bgyt is calculated by the following formula:

[0022] ;

[0023] Where q, w and e represent the proportional coefficients of the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system state coefficient Xtzt respectively;

[0024] in, , , ,and , R represents a first correction constant;

[0025] The ambient light coefficient Hjgx is obtained by calculating through the following formula:

[0026] ;

[0027] In the formula, Hjqd represents the ambient light intensity value, Bhsl represents the light change rate value, Gxzq represents the daytime light cycle, Gxzs represents the ambient light noise value, sin(Gxzq) represents the cycle value of the light change in a day, the angle value radian from 0 to 2π, and the sine function is used to reflect the periodic change of the light.

[0028] Preferably, the user behavior coefficient Yhxw is obtained by calculating through the following formula:

[0029] ;

[0030] In the formula, Jjjl represents the user's approaching distance, Sysc represents the usage duration, Sypl represents the usage frequency, Yhjj represents the user's approaching speed, and Jqtl represents the duration of the user staying in front of the mirror;

[0031] Among them, 1 + Sypl in the denominator is used to avoid the divisor being 0, and the logarithmic operation log(1 + Jqtl) is used to compress the range of the staying duration.

[0032] Preferably, the system state coefficient Xtzt is obtained by calculating through the following formula:

[0033] ;

[0034] In the formula, Dqld represents the current backlight brightness, Bgpl represents the backlight adjustment frequency, and Lspj represents the historical average backlight brightness.

[0035] Preferably, the brightness control evaluation module includes a brightness control evaluation unit;

[0036] The brightness control evaluation unit is used to compare the backlight brightness adjustment index Bgyt with the preset brightness threshold M and the preset brightness threshold N to obtain three evaluation adjustment strategies for the backlight brightness:

[0037] When Bgyt < M, obtain the first-level evaluation strategy, and gradually increase the brightness by 10% through the LED drive module. When the ambient light sensor detects insufficient external light, it is recommended to turn on more lighting devices. When the user is applying makeup in the morning and the backlight of the mirror is too dim, the system will automatically increase the brightness. When performing skin care or shaving, the system provides light that conforms to the scene;

[0038] Bgyt>N, get the second level evaluation strategy, reduce the backlight current through the LED driver module, and gradually reduce the brightness by 10%. The ambient light sensor detects that the external light is too strong, and automatically dims the curtains or blackout curtains. When the mirror is used for a long time, the system provides moderate light. When the user uses the mirror at night, the backlight is too bright, and the system will automatically reduce the brightness to avoid excessive light affecting sleep preparation or glare.

[0039] M≤Bgyt≤N, obtain the third-level evaluation strategy, maintain the current brightness or fine-tune according to the user's fine-tuning needs, adjust through the user interface module, and adjust the amplitude of each adjustment within 5% according to user preferences or environmental changes. Through the ambient light sensor and user detection module, monitor the ambient light changes and user activities in real time, and automatically perform fine-tuning.

[0040] Preferably, the user interface module includes a user interaction unit and a data recording unit;

[0041] The user interaction unit is used to allow the user to adjust the system parameters through the interface, the sensitivity of the brightness adjustment is turned on and off the automatic adjustment function, the user can view the current working status of the system in real time, including the current backlight brightness, ambient light intensity and system temperature, and display the backlight brightness adjustment history, so that the user can understand the adjustment status of the system;

[0042] The data recording unit is used to record the user's adjustments and the system's historical data, record the light intensity data detected by the ambient light sensor and the backlight brightness adjustment of the system at different time points, for system analysis and optimization.

[0043] A method for intelligently and dynamically adjusting the brightness of an LED backlight source comprises the following steps:

[0044] Step 1: By real-time monitoring of the light intensity of the surrounding environment, detecting changes in ambient light, collecting data including: ambient light intensity, light change rate, light direction, daytime light cycle and ambient light noise, forming an ambient light information group, and transmitting the detected ambient light information group to the LED driver module for processing and analysis;

[0045] Step 2: By detecting the user approaching or leaving the mirror, determine whether the user is approaching or leaving the mirror, obtain data including: user approach distance, usage time, usage frequency, user activity mode and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driver module for processing and analysis;

[0046] Step 3: By real-time monitoring of the internal status of the system, data including current backlight brightness, backlight brightness change, power supply voltage, system temperature and historical brightness settings are collected to form a system status information group, and the detected system status information group is transmitted to the LED driver module for processing and analysis;

[0047] Step 4: Preprocess the data of the ambient light information group, the user situation information group and the system status information group. The preprocessing steps include data cleaning, data filtering, data normalization and feature extraction. The preprocessed data is calculated to obtain: backlight brightness adjustment index Bgyt;

[0048] Step 5: Receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness;

[0049] Step 6: Provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn the automatic adjustment function on and off, record the ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

[0050] The present invention provides a method and system for intelligent dynamic adjustment of LED backlight brightness, which has the following beneficial effects:

[0051] (1) When the system is running, the light intensity of the surrounding environment is monitored in real time. By detecting the user's approach or departure status, it is determined whether the user is approaching or leaving the mirror. By monitoring the internal status of the system in real time, an ambient light information group, a user status information group and a system status information group are generated and preprocessed. After that, the backlight brightness adjustment index Bgyt is calculated and obtained. By comparing the backlight brightness adjustment index Bgyt with the preset brightness threshold M and the preset brightness threshold N, an evaluation adjustment strategy for the backlight brightness is obtained. An interface is provided for users to adjust system parameters and view the current working status. The user is allowed to manually set the sensitivity of the brightness adjustment or turn on or off the automatic adjustment function. An operation interface for interaction is provided so that users can make personalized settings in real time.

[0052] (2) Through the comprehensive use of the ambient light sensor module, user detection module and system status monitoring module, multi-dimensional and multi-angle brightness adjustment is achieved, effectively improving the user experience. The ambient light sensor module obtains comprehensive ambient light information by real-time monitoring of the light intensity, light change rate, all-day light cycle and ambient light noise level in the environment. These data can not only reflect the current ambient light conditions, but also predict future light change trends, thereby providing the system with accurate ambient light input and helping to achieve optimal backlight brightness adjustment.

[0053] (3) The user detection module can dynamically perceive the user's usage by monitoring the distance between the user and the mirror, user identification, dwell time, usage frequency, and user activity patterns. Based on this data, the system can automatically adjust the backlight brightness to suit the user's needs. For example, when the user approaches the mirror, the system automatically increases the brightness to provide a clearer image; when the user is away or has not used it for a long time, the brightness will be reduced to save energy. The system status monitoring module can comprehensively monitor the internal status of the system by measuring the current backlight brightness, power supply voltage, system temperature, and historical backlight brightness data in real time. These data provide important internal parameters for the system to ensure that the backlight brightness adjustment not only meets the external environment and user needs, but also operates within the range allowed by the system to avoid system failure or energy waste caused by excessive or low brightness.

[0054] (4) Through the comprehensive use of the ambient light sensor module, user detection module and system status monitoring module, multi-dimensional and multi-angle brightness adjustment is achieved, which effectively improves the user experience and system stability. The ambient light sensor module monitors the light intensity, light change rate, all-day light cycle and ambient light noise level in the environment in real time to obtain comprehensive ambient light information. These data can reflect the current ambient light conditions and predict future light change trends, provide accurate ambient light input for the system, and help achieve optimal backlight brightness adjustment. The user detection module can dynamically perceive the user's usage by monitoring the distance between the user and the mirror, user identification, stay time, usage frequency and user activity mode. Based on these data, the system can automatically adjust the backlight brightness to meet the user's needs. For example, when the user approaches the mirror, the system will automatically increase the brightness to provide a clearer image; when the user is away or has not been used for a long time, the brightness will be reduced to save energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a schematic diagram of a flow chart of a system for intelligent dynamic adjustment of brightness of an LED backlight source according to the present invention;

[0056] Figure 2 The present invention is a schematic diagram of the steps of a method for intelligently and dynamically adjusting the brightness of an LED backlight source. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0058] Example 1

[0059] The present invention provides a LED backlight source brightness intelligent dynamic adjustment system, please refer to Figure 1 , including an ambient light sensor module, a user detection module, a system status monitoring module, an LED driver module, a brightness control evaluation module and a user interface module;

[0060] The ambient light sensor module is used to monitor the light intensity of the surrounding environment in real time, detect changes in ambient light, collect data including: ambient light intensity, light change rate, light direction, daytime light cycle and ambient light noise, form an ambient light information group, and transmit the detected ambient light information group to the LED driver module for processing and analysis;

[0061] The user detection module is used to detect the user approaching or leaving the mirror, determine whether the user is approaching or leaving the mirror, obtain data including: user approach distance, usage duration, usage frequency, user activity mode and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driving module for processing and analysis;

[0062] The system status monitoring module is used to monitor the internal status of the system in real time, collect data including: current backlight brightness, backlight brightness change, power supply voltage, system temperature and historical brightness setting, form a system status information group, and transmit the detected system status information group to the LED driver module for processing and analysis;

[0063] The LED driving module is used to pre-process the data of the ambient light information group, the user situation information group and the system status information group. The pre-processing steps include data cleaning, data filtering, data normalization and feature extraction. The pre-processed data is calculated to obtain: the backlight brightness adjustment index Bgyt;

[0064] The brightness control evaluation module is used to receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness;

[0065] The user interface module is used to provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn on or off the automatic adjustment function, record ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

[0066] In this embodiment, by real-time monitoring of the light intensity of the surrounding environment and detecting the user's approach or departure status, it is determined whether the user is approaching or leaving the mirror. By real-time monitoring of the internal state of the system, an ambient light information group, a user situation information group and a system status information group are generated and preprocessed, and then calculated to obtain: the backlight brightness adjustment index Bgyt, by comparing the backlight brightness adjustment index Bgyt with the preset brightness threshold M and the preset brightness threshold N, the evaluation adjustment strategy of the backlight brightness is obtained, an interface is provided for the user to adjust system parameters and view the current working status, the user is allowed to manually set the sensitivity of the brightness adjustment or turn on or off the automatic adjustment function, and an operation interface for interaction is provided so that the user can make personalized settings in real time.

[0067] Example 2

[0068] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the ambient light sensor module includes an ambient light sensing unit;

[0069] The ambient light sensing unit is used to monitor the light intensity in the environment, the speed of light intensity change, obtain the cycle of light intensity throughout the day according to time changes, and measure the noise level in the ambient light through sensors in real time, and obtain: ambient light intensity value Hjqd, light change rate value Bhsl, daytime light cycle Gxzq and ambient light noise value Gxzs as ambient light information groups, and transmit them to the LED driving module for processing and analysis.

[0070] The user detection module includes a user detection unit;

[0071] The user detection unit is used to monitor the distance between the user and the mirror through a sensor, identify the user through face recognition or other biometric technology, collect user identification data, including: approach distance data, monitor the user's stay time in front of the mirror, record the user's frequency of using the mirror, detect and analyze the user's activity pattern, and obtain: user approach distance Jjjl, usage time Sysc, usage frequency Sypl, user approach speed Yhjj and user's stay time in front of the mirror Jqtl as a user situation information group, and transmit it to the LED driving module for processing and analysis.

[0072] The system status monitoring module includes a system internal status monitoring unit;

[0073] The system internal status monitoring unit is used to measure the current LED backlight brightness value in real time through a sensor, record the changing trend of the backlight brightness over time, detect the system power supply voltage value in real time, measure the internal temperature of the system in real time through a temperature sensor, collect the system status, and obtain: the current backlight brightness Dqld, the backlight adjustment frequency Bgpl, the power supply voltage value Dydy, the system internal temperature Xtwd and the historical backlight average brightness Lspj as a system status information group, and transmit it to the LED driving module for processing and analysis.

[0074] In this embodiment, through the comprehensive use of the ambient light sensor module, the user detection module and the system status monitoring module, multi-dimensional and multi-angle brightness adjustment is realized, which effectively improves the user experience. The ambient light sensor module obtains comprehensive ambient light information by real-time monitoring the light intensity, light change rate, all-day light cycle and ambient light noise level in the environment. These data can not only reflect the current ambient light conditions, but also predict the future light change trend, thereby providing the system with accurate ambient light input, which helps to achieve the optimal backlight brightness adjustment. The user detection module can dynamically perceive the user's usage by monitoring the distance between the user and the mirror, user identification, residence time, frequency of use and user activity mode. Based on these data, the system can automatically adjust the backlight brightness to meet the needs of the user. For example, when the user approaches the mirror, the system will automatically increase the brightness to provide a clearer image; when the user is away or has not been used for a long time, the brightness will be reduced to save energy. The system status monitoring module can fully monitor the internal state of the system by measuring the current backlight brightness, power supply voltage, system temperature and historical backlight brightness data in real time. These data provide important internal parameters for the system, ensuring that the backlight brightness adjustment not only meets the external environment and user needs, but also operates within the range allowed by the system, avoiding system failure or energy waste caused by excessively high or low brightness.

[0075] Example 3

[0076] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the LED driving module includes a data preprocessing unit and a brightness adjustment calculation unit;

[0077] The data preprocessing unit is used to process the data obtained from the ambient light information group, the user situation information group and the system status information group, remove abnormal values ​​and noise, smooth the data, convert data of different ranges to a uniform range, and extract features from the preprocessed data;

[0078] The brightness adjustment calculation unit is used to receive the ambient light information group, the user situation information group and the system status information group processed by the data pre-processing unit, and calculate: the backlight brightness adjustment index Bgyt, the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system status coefficient Xtzt;

[0079] The backlight source brightness adjustment index Bgyt is calculated by the following formula:

[0080] ;

[0081] Where q, w and e represent the proportional coefficients of the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system state coefficient Xtzt respectively;

[0082] in, , , ,and , R represents the first correction constant;

[0083] The ambient light coefficient Hjgx is calculated by the following formula:

[0084] ;

[0085] Where Hjqd represents the ambient light intensity value, Bhsl represents the light change rate value, Gxzq represents the daytime light cycle, Gxzs represents the ambient light noise value, sin(Gxzq) represents the periodic value of light change in a day, and the angle value is radians from 0 to 2π. The sine function is used to reflect the periodic changes of light.

[0086] The user behavior coefficient Yhxw is calculated by the following formula:

[0087] ;

[0088] Where, Jjjl represents the user's approach distance, Sysc represents the usage time, Sypl represents the usage frequency, Yhjj represents the user's approach speed, and Jqtl represents the user's stay time in front of the mirror;

[0089] The 1+Sypl in the denominator is used to avoid division by 0, and the log(1+Jqtl) logarithmic operation is used to compress the range of the stay duration.

[0090] The system state coefficient Xtzt is calculated by the following formula:

[0091] ;

[0092] Where Dqld represents the current backlight brightness, Bgpl represents the backlight adjustment frequency, and Lspj represents the historical average backlight brightness.

[0093] In this embodiment, through the comprehensive use of the ambient light sensor module, the user detection module and the system status monitoring module, multi-dimensional and multi-angle brightness adjustment is achieved, which effectively improves the user experience and the stability of the system. The ambient light sensor module monitors the light intensity, light change rate, all-day light cycle and ambient light noise level in the environment in real time to obtain comprehensive ambient light information. These data can reflect the current ambient light conditions and predict the future light change trend, provide accurate ambient light input for the system, and help achieve the optimal backlight brightness adjustment. The user detection module can dynamically perceive the user's usage by monitoring the distance between the user and the mirror, user identification, residence time, frequency of use and user activity mode. Based on these data, the system can automatically adjust the backlight brightness to meet the needs of the user. For example, when the user approaches the mirror, the system will automatically increase the brightness to provide a clearer image; when the user is away or has not been used for a long time, the brightness will be reduced to save energy. The system status monitoring module comprehensively monitors the internal state of the system by measuring the current backlight brightness, power supply voltage, system temperature and historical backlight brightness data in real time. These data provide important internal parameters for the system, ensuring that the backlight brightness adjustment not only meets the external environment and user needs, but also can be operated within the range allowed by the system to avoid system failure or energy waste caused by too high or too low brightness. In the LED driver module, the data preprocessing unit removes abnormal values ​​and noise, smoothes the data, converts data in different ranges to a unified range, extracts features from it, and provides high-quality data input for subsequent brightness adjustment calculations. The brightness adjustment calculation unit achieves precise control of the backlight brightness by calculating the backlight brightness adjustment index Bgyt, the ambient light coefficient Hjgx, the user behavior coefficient Yhxw, and the system state coefficient Xtzt.

[0094] Example 4

[0095] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the brightness control evaluation module includes a brightness control evaluation unit;

[0096] The brightness control evaluation unit is used to compare the backlight brightness adjustment index Bgyt with the preset brightness threshold M and the preset brightness threshold N to obtain three backlight brightness evaluation adjustment strategies:

[0097] Bgyt < M, obtain the first-level evaluation strategy. Gradually increase the brightness by 10% through the LED drive module. When the ambient light sensor detects insufficient external light, it is recommended to turn on more lighting devices. When the user is applying makeup in the morning and the backlight of the mirror is too dim, the system will automatically increase the brightness. When performing skin care or shaving, the system provides light that suits the scenario;

[0098] Bgyt > N, obtain the second-level evaluation strategy. Reduce the current of the backlight through the LED drive module and gradually decrease the brightness by 10%. When the ambient light sensor detects too strong external light, automatically dim the curtains or light-blocking curtains. When the mirror is used for a long time, the system provides moderate light. When the user uses the mirror at night and the backlight is too bright, the system will automatically reduce the brightness to avoid too strong light affecting sleep preparation or being dazzling;

[0099] M ≤ Bgyt ≤ N, obtain the third-level evaluation strategy. Keep the current brightness or make fine adjustments according to the user's fine-tuning requirements. Adjust through the user interface module. Each adjustment range is within 5% according to the user's preference or environmental changes. Through the ambient light sensor and user detection module, continuously monitor the ambient light change and user activities and make automatic fine adjustments.

[0100] The user interface module includes a user interaction unit and a data recording unit;

[0101] The user interaction unit is used to allow the user to adjust the parameters of the system through the interface, turn on and off the automatic adjustment function for the sensitivity of brightness adjustment. The user can view the current working state of the system in real time, including the current backlight brightness, ambient light intensity, and system temperature, and display the backlight brightness adjustment history, enabling the user to understand the adjustment situation of the system;

[0102] The data recording unit is used to record the user's adjustments and the historical data of the system, record the light intensity data detected by the ambient light sensor and the backlight brightness adjustment situation of the system at different time points for system analysis and optimization.

[0103] In this embodiment, the ambient light sensor module can monitor parameters such as ambient light intensity and its rate of change, all-day light cycle and ambient light noise in real time to form a comprehensive ambient light information group. Through the analysis and processing of these data, the system can accurately adjust the LED backlight brightness according to different time and environmental conditions to ensure that the best light effect can be provided in various environments. The user detection module uses sensors and biometric technology to monitor the distance between the user and the mirror, the dwell time, the frequency of use and the activity mode in real time. Based on these user data, the system can dynamically adjust the backlight brightness, such as automatically increasing the brightness when the user approaches and reducing the brightness when the user is away, ensuring that the user can obtain the required light conditions in different scenes such as makeup, skin care, shaving, etc., and improving the user's experience. The system status monitoring module measures the LED backlight brightness, power supply voltage, system temperature and historical backlight brightness data in real time to ensure that the system works in a stable and safe state. By monitoring and adjusting the internal parameters of the system, system failures or energy waste caused by improper brightness adjustment can be avoided, and the service life of the system can be extended. The data preprocessing unit and brightness adjustment calculation unit in the LED driver module preprocess and calculate the data of the ambient light information group, the user situation information group and the system status information group to obtain the backlight brightness adjustment index Bgyt. Based on the comparison between the index and the preset brightness threshold, the brightness control evaluation module can formulate an accurate brightness adjustment strategy and adjust the backlight brightness step by step, thereby improving the response speed and adjustment accuracy of the system.

[0104] Example 5

[0105] A method for intelligent dynamic adjustment of LED backlight brightness, please refer to Figure 2 , specifically: including the following steps:

[0106] Step 1: By real-time monitoring of the light intensity of the surrounding environment, detecting changes in ambient light, collecting data including: ambient light intensity, light change rate, light direction, daytime light cycle and ambient light noise, forming an ambient light information group, and transmitting the detected ambient light information group to the LED driver module for processing and analysis;

[0107] Step 2: By detecting the user approaching or leaving the mirror, determine whether the user is approaching or leaving the mirror, obtain data including: user approach distance, usage time, usage frequency, user activity mode and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driver module for processing and analysis;

[0108] Step 3: By real-time monitoring of the internal status of the system, data including current backlight brightness, backlight brightness change, power supply voltage, system temperature and historical brightness settings are collected to form a system status information group, and the detected system status information group is transmitted to the LED driver module for processing and analysis;

[0109] Step 4: Preprocess the data of the ambient light information group, the user situation information group and the system status information group. The preprocessing steps include data cleaning, data filtering, data normalization and feature extraction. The preprocessed data is calculated to obtain: backlight brightness adjustment index Bgyt;

[0110] Step 5: Receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness;

[0111] Step 6: Provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn the automatic adjustment function on and off, record the ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

[0112] In this embodiment, through the ambient light sensor module, the system can monitor the ambient light intensity, light change rate, daytime light cycle and ambient light noise in real time to form a comprehensive ambient light information group. After these data are processed, the system can intelligently adjust the LED backlight brightness according to the change of ambient light, ensure that the best lighting effect can be provided under different light conditions, and improve the visual comfort of the user. The user detection module monitors the distance, stay time, usage frequency and activity mode between the user and the mirror through sensors and biometrics to form a user situation information group. Based on these data, the system can automatically increase the brightness when the user approaches and automatically reduce the brightness when the user leaves, adapting to the different usage needs of the user, such as makeup, shaving, skin care and other scenes, significantly improving the user's experience. The system status monitoring module monitors the current backlight brightness, power supply voltage, system temperature and historical brightness settings in real time to form a system status information group. Through the monitoring and analysis of these data, the system can adjust the backlight brightness and other parameters in time to ensure that the system works in a safe and efficient state, prevent overheating, overload and other situations, and extend the service life of the system.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent dynamic adjustment system for LED backlight brightness, characterized in that: It includes an ambient light sensor module, a user detection module, a system status monitoring module, an LED driver module, a brightness control evaluation module and a user interface module; The ambient light sensor module is used to monitor the light intensity of the surrounding environment in real time, detect changes in ambient light, collect data including: ambient light intensity, light change rate, light direction, daytime light cycle and ambient light noise, form an ambient light information group, and transmit the detected ambient light information group to the LED driver module for processing and analysis; The user detection module is used to detect the user approaching or leaving the mirror, determine whether the user is approaching or leaving the mirror, obtain data including: user approach distance, usage duration, usage frequency, user activity mode and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driving module for processing and analysis; The system status monitoring module is used to monitor the internal status of the system in real time, collect data including: current backlight brightness, backlight brightness change, power supply voltage, system temperature and historical brightness setting, form a system status information group, and transmit the detected system status information group to the LED driver module for processing and analysis; The LED driving module is used to preprocess the data of the ambient light information group, the user situation information group and the system status information group. The preprocessing steps include data cleaning, data filtering, data normalization and feature extraction. According to the preprocessed data, the backlight brightness adjustment index Bgyt is obtained; The LED driving module includes a data preprocessing unit and a brightness adjustment calculation unit; The data preprocessing unit is used to process the data obtained from the ambient light information group, the user situation information group and the system status information group, remove abnormal values ​​and noise, smooth the data, convert data of different ranges to a uniform range, and extract features from the preprocessed data; The brightness adjustment calculation unit is used to receive the ambient light information group, the user situation information group and the system status information group processed by the data pre-processing unit, and calculate: the backlight brightness adjustment index Bgyt, the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system status coefficient Xtzt; The backlight source brightness adjustment index Bgyt is calculated by the following formula: ； Where q, w and e represent the proportional coefficients of the ambient light coefficient Hjgx, the user behavior coefficient Yhxw and the system state coefficient Xtzt respectively; in, , , ,and , R represents the first correction constant; The ambient light coefficient Hjgx is calculated by the following formula: ； Where Hjqd represents the ambient light intensity value, Bhsl represents the light change rate value, Gxzq represents the daytime light cycle, Gxzs represents the ambient light noise value, sin(Gxzq) represents the periodic value of light change in a day, the angle value is radians from 0 to 2π, and the sine function is used to reflect the periodic change of light; The user behavior coefficient Yhxw is calculated by the following formula: ； Where, Jjjl represents the user's approach distance, Sysc represents the usage time, Sypl represents the usage frequency, Yhjj represents the user's approach speed, and Jqtl represents the user's stay time in front of the mirror; The 1+Sypl in the denominator is used to avoid division by 0, and the log(1+Jqtl) logarithmic operation is used to compress the range of the stay time; The system state coefficient Xtzt is calculated by the following formula: ； Where Dqld represents the current backlight brightness, Bgpl represents the backlight adjustment frequency, and Lspj represents the historical average backlight brightness; The brightness control evaluation module is used to receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness; The user interface module is used to provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn on or off the automatic adjustment function, record ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

2. The LED backlight source brightness intelligent dynamic adjustment system according to claim 1, characterized in that: The ambient light sensor module includes an ambient light sensing unit; The ambient light sensing unit is used to monitor the light intensity in the environment, the speed of light intensity change, obtain the cycle of light intensity throughout the day according to time changes, and measure the noise level in the ambient light through sensors in real time, and obtain: ambient light intensity value Hjqd, light change rate value Bhsl, daytime light cycle Gxzq and ambient light noise value Gxzs as ambient light information groups, and transmit them to the LED driving module for processing and analysis.

3. The LED backlight source brightness intelligent dynamic adjustment system according to claim 1, characterized in that: The user detection module includes a user detection unit; The user detection unit is used to monitor the distance between the user and the mirror through a sensor, identify the user through face recognition or other biometric technology, collect user identification data, including: approach distance data, monitor the user's stay time in front of the mirror, record the user's frequency of using the mirror, detect and analyze the user's activity pattern, and obtain: user approach distance Jjjl, usage time Sysc, usage frequency Sypl, user approach speed Yhjj and user's stay time in front of the mirror Jqtl as a user situation information group, and transmit it to the LED driving module for processing and analysis.

4. The LED backlight source brightness intelligent dynamic adjustment system according to claim 1, characterized in that: The system status monitoring module includes a system internal status monitoring unit; The system internal status monitoring unit is used to measure the current LED backlight brightness value in real time through a sensor, record the changing trend of the backlight brightness over time, detect the system power supply voltage value in real time, measure the internal temperature of the system in real time through a temperature sensor, collect the system status, and obtain: the current backlight brightness Dqld, the backlight adjustment frequency Bgpl, the power supply voltage value Dydy, the system internal temperature Xtwd and the historical backlight average brightness Lspj as a system status information group, and transmit it to the LED driving module for processing and analysis.

5. The LED backlight source brightness intelligent dynamic adjustment system according to claim 1, characterized in that: The brightness control evaluation module includes a brightness control evaluation unit; The brightness control evaluation unit is used to compare the backlight brightness adjustment index Bgyt with the preset brightness threshold M and the preset brightness threshold N to obtain three backlight brightness evaluation adjustment strategies: Bgyt < M, obtain the first-level evaluation strategy, gradually increase the brightness by 10% through the LED driving module. When the ambient light sensor detects insufficient external light, it is recommended to turn on more lighting devices. When the user is applying makeup in the morning and the backlight of the mirror is too dim, the system will automatically increase the brightness. When performing skin care or shaving, the system provides light suitable for the scenario; Bgyt > N, obtain the second-level evaluation strategy, reduce the current of the backlight through the LED driving module, gradually reduce the brightness by 10%. When the ambient light sensor detects too strong external light, automatically dim the curtains or light-blocking curtains. When using the mirror for a long time, the system provides moderate light. When the user uses the mirror at night and the backlight is too bright, the system will automatically reduce the brightness to avoid too strong light affecting sleep preparation or being dazzling; M ≤ Bgyt ≤ N, obtain the third-level evaluation strategy, maintain the current brightness or make fine adjustments according to the user's fine-tuning requirements. Adjust through the user interface module, with each adjustment amplitude within 5% according to user preferences or environmental changes. Through the ambient light sensor and user detection module, continuously monitor the ambient light change and user activities, and automatically make fine adjustments.

6. The LED backlight source brightness intelligent dynamic adjustment system according to claim 1, characterized in that: The user interface module includes a user interaction unit and a data recording unit; The user interaction unit is used to allow the user to adjust the system parameters through the interface, adjust the sensitivity of brightness adjustment, turn on and off the automatic adjustment function. The user can view the current working state of the system in real time, including the current backlight brightness, ambient light intensity, and system temperature, and display the backlight brightness adjustment history, enabling the user to understand the adjustment situation of the system; The data recording unit is used to record the user's adjustments and the historical data of the system, record the light intensity data detected by the ambient light sensor and the backlight brightness adjustment situation of the system at different time points for system analysis and optimization.

7. A method for intelligent dynamic adjustment of LED backlight brightness, comprising the LED backlight brightness intelligent dynamic adjustment system according to any one of claims 1 to 6, characterized in that: It includes the following steps: Step 1: Continuously monitor the light intensity of the surrounding environment, detect the change of ambient light, and collect data including: ambient light intensity, light change rate, light direction, daytime light cycle, and ambient light noise, form an ambient light information group, and transmit the detected ambient light information group to the LED driving module for processing and analysis; Step 2: By detecting the user's approaching or leaving state, judge whether the user is approaching or leaving the mirror, and obtain data including: user approaching distance, usage duration, usage frequency, user activity pattern, and user identification, form a user situation information group, and transmit the detected user situation information group to the LED driving module for processing and analysis; Step 3: Continuously monitor the internal state of the system, collect data including: current backlight brightness, backlight brightness change situation, power supply voltage, system temperature, and historical brightness setting situation, form a system state information group, and transmit the detected system state information group to the LED driving module for processing and analysis; Step 4: Preprocess the data of the ambient light information group, user situation information group, and system state information group. The preprocessing steps include data cleaning, data filtering, data normalization, and feature extraction. After calculating the preprocessed data, obtain: backlight brightness adjustment index Bgyt; Step 5: Receive the backlight source brightness adjustment index Bgyt calculated by the LED driving module and compare it with the preset brightness threshold M and the preset brightness threshold N to obtain an evaluation adjustment strategy for the backlight brightness; Step 6: Provide users with an interface for adjusting system parameters and viewing the current working status, allowing users to manually set the sensitivity of brightness adjustment or turn the automatic adjustment function on and off, record the ambient light intensity, backlight brightness adjustment history and user-set data, and provide an interactive operation interface so that users can make personalized settings in real time.

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