A backlight stable adjusting method and device, electronic terminal and storage medium

Abstract

The application discloses the technical field of medical display backlight control and relates to a backlight stable adjusting method and device, an electronic terminal and a storage medium, which are used for solving the technical problem that the temperature difference between the temperature when a display is produced and calibrated and the temperature when the display is actually used leads to the error between the screen brightness and the calibration.

Description

Technical Field

[0001] This invention relates to the field of medical display backlight control technology, and in particular to a backlight stabilization adjustment method, device, electronic terminal and storage medium. Background Technology

[0002] Currently, the production of medical radiation displays generally requires room temperature aging. Sometimes, aging 10 to 20 units at a time can easily raise the temperature to around 40°C when all the machines are concentrated in one area. This results in production calibration being performed at a relatively high temperature, followed by a drop in temperature during inspection after calibration. The temperature at the user's end may be even higher or lower, leading to a discrepancy between the screen brightness and the brightness at the time of calibration. This is especially true for larger panels, which have poorer heat dissipation capabilities, making their brightness even more susceptible to temperature effects.

[0003] Therefore, there is an urgent need for a backlight stabilization adjustment method, device, electronic terminal, and storage medium to solve the above-mentioned technical problems. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a backlight stabilization adjustment method, device, electronic terminal and storage medium, which can solve the technical problem that the temperature difference between the display during production calibration and the actual temperature during use leads to errors in screen brightness.

[0005] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0006] In a first aspect, the present invention provides a backlight stabilization adjustment method, comprising:

[0007] Get the current front and backlight temperatures of the display;

[0008] Based on the current front temperature and backlight temperature, predict the backlight temperature and front temperature of the display at the next moment.

[0009] Based on the pre-constructed binomial fitting relationship, the backlight brightness and front brightness at the next moment are calculated according to the backlight temperature and front temperature at the next moment.

[0010] The backlight brightness at the next moment is weighted and fused with the front brightness to obtain the final predicted backlight brightness value.

[0011] Calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value;

[0012] Based on the brightness deviation, the backlight control PWM value that needs to be adjusted for the brightness change at the next moment is calculated step by step using the PID incremental adjustment algorithm.

[0013] The backlight control PWM value is input into the display backlight drive circuit to achieve backlight adjustment.

[0014] Furthermore, based on the pre-constructed binomial fitting relationship, the backlight brightness at the next moment is calculated. The calculation formula includes:

[0015] ,

[0016] The formula for calculating the forward brightness at the next moment includes:

[0017] ,

[0018] in, The backlight temperature at the next moment. For the backlight brightness at the next moment, The preceding temperature for the next moment. Set the front brightness for the next moment. , , and All of these are preset fitting coefficients.

[0019] Furthermore, the formula for calculating the final predicted backlight brightness value by weighted fusion of the backlight brightness and the front brightness at the next moment includes:

[0020] ,

[0021] in, This is the final predicted backlight brightness value. It is a priori adjustable constant.

[0022] Furthermore, the formula for calculating the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value includes:

[0023] ,

[0024] in, To achieve stable backlight brightness, This represents the brightness deviation during the k-th sampling period.

[0025] Furthermore, based on the brightness deviation, the backlight control PWM value that needs to be adjusted to the next brightness change is calculated step by step using the PID incremental adjustment algorithm, including:

[0026] ,

[0027] + , ( >0),

[0028] ,

[0029] in, It is the sum of backlight deviations accumulated over k sampling periods. , and These are the proportional control coefficient, integral control coefficient, and derivative control coefficient, respectively. It is the ratio coefficient between backlight brightness and the driving voltage PWM value. This is the backlight control PWM value for the kth sampling period.

[0030] In a second aspect, the present invention provides a backlight stabilization adjustment device, comprising:

[0031] The data acquisition module is used to obtain the current front temperature and backlight temperature of the display.

[0032] The prediction module is used to predict the backlight temperature and front temperature of the display at the next moment based on the current front temperature and backlight temperature.

[0033] The brightness calculation module is used to calculate the backlight brightness and front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and front temperature at the next moment.

[0034] A brightness fusion module is used to perform weighted fusion of the backlight brightness at the next moment and the front brightness to obtain the final predicted backlight brightness value.

[0035] The brightness deviation calculation module is used to calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value.

[0036] The backlight control PWM value calculation module is used to calculate the backlight control PWM value that needs to be adjusted for the brightness change at the next moment based on the brightness deviation using a PID incremental adjustment algorithm.

[0037] The adjustment module is used to input the backlight control PWM value into the display backlight drive circuit to realize backlight adjustment.

[0038] Thirdly, the present invention provides an electronic terminal, including a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the method described in any of the preceding claims are performed.

[0039] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0040] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0041] After obtaining the current front temperature and backlight temperature of the display, the Kalman filter estimation algorithm is used to estimate the backlight brightness of the display at the next moment by combining the binomial fitting relationship between the backlight temperature, front temperature and backlight brightness. Backlight brightness compensation is performed in advance before the brightness changes to offset the brightness change caused by temperature change, thereby reducing the effect of temperature on backlight brightness. When there is a temperature difference between the temperature at which the display is calibrated during production and the temperature at which it is used in actual use, the error between the screen brightness in actual use and the screen brightness at which it is calibrated during production can be reduced, thus improving the accuracy of screen brightness.

[0042] By combining the PID incremental adjustment algorithm to adjust the brightness, when the display needs to compensate for more backlight PWM values ​​in the event of a sudden change in ambient temperature, such as a temperature change of more than 10°C within half an hour of operation, it can smoothly adjust the backlight brightness with a single adjustment accuracy of less than 1 cd / m2, so that the backlight brightness remains in a stable state with a change range of less than 2%. Attached Figure Description

[0043] Figure 1 This is a schematic flowchart of a backlight stabilization adjustment method provided in Embodiment 1 of the present invention. Detailed Implementation

[0044] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0045] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0046] To facilitate understanding, the proper nouns appearing in this application are explained as follows:

[0047] Kalman filtering is a highly efficient recursive estimation algorithm primarily used to estimate the true state of a noisy dynamic system from a series of measurement data containing errors. Proposed by the Hungarian mathematician Rudolf-E.-Kálmán in 1960, it is widely used in navigation, target tracking, and sensor fusion due to its high computational efficiency and real-time performance.

[0048] Ziegler-Nichols method:

[0049] The Ziegler-Nichols method is a classic PID controller parameter tuning method proposed in 1942 by American engineers John Ziegler and Nathan Nichols. It determines the proportional gain (Kp), integral time (Ti), and derivative time (Td) of the PID controller through simple experiments, and is suitable for control systems in industrial processes where it is difficult to establish accurate mathematical models.

[0050] Manual trial-and-error is a method for tuning PID controller parameters based on experience and iterative testing. By gradually adjusting the proportional (Kp), integral (Ti), and derivative (Td) parameters, the system response is observed until a satisfactory control effect is achieved. It does not require a precise mathematical model, relying instead on the engineer's intuition and practical experience, and is one of the most commonly used tuning methods in industrial settings.

[0051] Automatic tuning algorithms are a type of technology that can automatically calculate or optimize PID controller parameters. Through system identification, online experiments, or intelligent optimization, they reduce manual intervention and achieve rapid and accurate parameter tuning.

[0052] Example 1:

[0053] Figure 1 This is a flowchart of the backlight stabilization adjustment method in Embodiment 1 of the present invention. This flowchart only illustrates the logical sequence of the method described in this embodiment. Provided there are no conflicts, different methods may be used in other possible embodiments of the present invention. Figure 1 Complete the steps shown or described in the order indicated.

[0054] The backlight stabilization adjustment method provided in this embodiment can be applied to a terminal and can be executed by a backlight stabilization adjustment device. This device can be implemented in software and / or hardware and can be integrated into the terminal, such as any smartphone, tablet, or computer device with communication capabilities. See also... Figure 1 As shown, the method in this embodiment specifically includes the following steps:

[0055] Step 1: Obtain the current front temperature and backlight temperature of the monitor;

[0056] Step 2: Based on the current front temperature and backlight temperature, predict the backlight temperature and front temperature of the display at the next moment using the Kalman filter estimation algorithm;

[0057] It should be noted that predicting the backlight temperature and front temperature of the display at the next moment is existing technology and will not be elaborated here.

[0058] Step 3: Fit the relationship based on the pre-constructed binomial equation.

[0059] The formula for calculating the backlight brightness at the next moment includes:

[0060] ,

[0061] The formula for calculating the forward brightness at the next moment includes:

[0062] ,

[0063] in, The backlight temperature at the next moment. For the backlight brightness at the next moment, The preceding temperature for the next moment. Set the front brightness for the next moment. , , and All of these are preset fitting coefficients.

[0064] Step 4: Perform a weighted fusion of the backlight brightness and the front brightness at the next moment to obtain the final predicted backlight brightness value. The calculation formula includes:

[0065] ,

[0066] in, This is the final predicted backlight brightness value. As an a priori adjustable constant, the value of α is determined based on whether the backlight temperature or the front temperature is selected as the main factor. In this embodiment, it is taken as 0.5.

[0067] Step 5: Calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value. The calculation formula includes:

[0068] ,

[0069] in, To achieve stable backlight brightness, This represents the brightness deviation during the k-th sampling period.

[0070] Step Six: Based on the brightness deviation, the backlight control PWM value that needs to be adjusted for the brightness change at the next moment is calculated step by step using the PID incremental adjustment algorithm, including:

[0071] ,

[0072] + , ( >0),

[0073] ,

[0074] in, It is the sum of backlight deviations accumulated over k sampling periods. , and These are the three control coefficients of the PID control algorithm: proportional control coefficient, integral control coefficient, and derivative control coefficient. These three coefficients can be tuned by manual trial and error, Ziegler-Nichols, or automatic tuning algorithms. It is a ratio coefficient between the backlight brightness and the driving voltage PWM value, calculated based on actual measurements during the production of different panels. This represents the backlight control PWM value for the kth sampling period;

[0075] As an additional note, the "next moment" mentioned in this application can be understood as the time corresponding to the next sampling period, and the interval between every two sampling periods can be customized as needed.

[0076] Step 7: Input the backlight control PWM value into the display backlight drive circuit to achieve backlight adjustment.

[0077] Specifically, the backlight control PWM value calculated at each (a total of k) interval time in the previous step is input into the display backlight drive circuit to gradually achieve the required backlight brightness. In addition, after a fixed time interval (generally recommended to be within seconds), the first step can be repeated to cycle through the backlight stabilization adjustment method disclosed in this application.

[0078] The backlight drive circuit described is a common type of drive circuit for monitors. It only serves to automatically adjust the backlight brightness under the control of the backlight control PWM value, and will not be described in detail here.

[0079] Example 2:

[0080] Embodiment 2 of the present invention provides a backlight stabilization adjustment device, comprising:

[0081] The data acquisition module is used to obtain the current front temperature and backlight temperature of the display.

[0082] The prediction module is used to predict the backlight temperature and front temperature of the display at the next moment based on the current front temperature and backlight temperature.

[0083] The brightness calculation module is used to calculate the backlight brightness and front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and front temperature at the next moment.

[0084] A brightness fusion module is used to perform weighted fusion of the backlight brightness at the next moment and the front brightness to obtain the final predicted backlight brightness value.

[0085] The brightness deviation calculation module is used to calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value.

[0086] The backlight control PWM value calculation module is used to calculate the backlight control PWM value that needs to be adjusted for the brightness change at the next moment based on the brightness deviation using a PID incremental adjustment algorithm.

[0087] The adjustment module is used to input the backlight control PWM value into the display backlight drive circuit to realize backlight adjustment.

[0088] The backlight stabilization adjustment device provided in Embodiment 2 of the present invention can execute the backlight stabilization adjustment method provided in Embodiment 1 of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0089] Example 3:

[0090] Embodiment 3 of the present invention also provides an electronic terminal, including a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and the processor is used to perform operations according to the instructions to execute the steps of the method described in Embodiment 1.

[0091] The electronic terminal provided in Embodiment 3 of the present invention can execute the backlight stabilization adjustment method provided in Embodiment 1 of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0092] Example 4:

[0093] Embodiment 4 of the present invention also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the method described in Embodiment 1, and has the corresponding functional modules and beneficial effects of the method.

[0094] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0095] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0096] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0097] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0098] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A backlight stabilization adjustment method, characterized in that, include: Get the current front and backlight temperatures of the display; Based on the current front temperature and backlight temperature, predict the backlight temperature and front temperature of the display at the next moment. Based on the pre-constructed binomial fitting relationship, the backlight brightness and front brightness at the next moment are calculated according to the backlight temperature and front temperature at the next moment. The backlight brightness at the next moment is weighted and fused with the front brightness to obtain the final predicted backlight brightness value. Calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value; Based on the brightness deviation, the backlight control PWM value that needs to be adjusted for the brightness change at the next moment is calculated step by step using the PID incremental adjustment algorithm. The backlight control PWM value is input into the display backlight drive circuit to achieve backlight adjustment.

2. The backlight stabilization adjustment method according to claim 1, characterized in that, Based on a pre-constructed binomial fitting relationship, the backlight brightness at the next moment is calculated according to the backlight temperature and the pre-temperature at the next moment. The calculation formula is as follows: include: ， The formula for calculating the forward brightness at the next moment includes: ， in, The backlight temperature at the next moment. For the backlight brightness at the next moment, The preceding temperature for the next moment. Set the front brightness for the next moment. , , and All of these are preset fitting coefficients.

3. The backlight stabilization adjustment method according to claim 2, characterized in that, The formula for calculating the final predicted backlight brightness value by weighted fusion of the backlight brightness and the front brightness at the next moment includes: ， in, This is the final predicted backlight brightness value. It is a priori adjustable constant.

4. The backlight stabilization adjustment method according to claim 3, characterized in that, The formula for calculating the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value includes: ， in, To achieve stable backlight brightness, This represents the brightness deviation during the k-th sampling period.

5. The backlight stabilization adjustment method according to claim 4, characterized in that, Based on the brightness deviation, the backlight control PWM value that needs to be adjusted to the next moment's brightness change is calculated step by step using the PID incremental adjustment algorithm, including: ， + ，（ >0）， ， in, It is the sum of backlight deviations accumulated over k sampling periods. , and These are the proportional control coefficient, integral control coefficient, and derivative control coefficient, respectively. It is the ratio coefficient between backlight brightness and the driving voltage PWM value. This is the backlight control PWM value for the kth sampling period.

6. A backlight stabilization adjustment device, characterized in that, include: The data acquisition module is used to obtain the current front temperature and backlight temperature of the display. The prediction module is used to predict the backlight temperature and front temperature of the display at the next moment based on the current front temperature and backlight temperature. The brightness calculation module is used to calculate the backlight brightness and front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and front temperature at the next moment. A brightness fusion module is used to perform weighted fusion of the backlight brightness at the next moment and the front brightness to obtain the final predicted backlight brightness value. The brightness deviation calculation module is used to calculate the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value. The backlight control PWM value calculation module is used to calculate the backlight control PWM value that needs to be adjusted for the brightness change at the next moment based on the brightness deviation using a PID incremental adjustment algorithm. The adjustment module is used to input the backlight control PWM value into the display backlight drive circuit to realize backlight adjustment.

7. An electronic terminal, characterized in that, Including the processor and the memory connected to the processor, in The memory stores a computer program that, when executed by the processor, performs the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 5.

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