Backlight stability adjusting method and device, electronic terminal and storage medium

Abstract

The invention discloses a backlight stability adjusting method and device, an electronic terminal and a storage medium in the technical field of backlight control of medical displayers, and the method comprises the steps: calculating the backlight brightness and the front brightness of a next moment based on a pre-constructed binomial fitting relation; performing weighted fusion on the backlight brightness at the next moment and the front brightness to obtain a final predicted backlight brightness value; calculating a brightness deviation between a preset target stable backlight brightness value and the finally predicted backlight brightness value; gradually calculating a backlight control PWM (Pulse Width Modulation) value required to be adjusted for brightness change at the next moment through a PID (Proportion Integration Differentiation) increment adjustment algorithm based on the brightness deviation; and inputting the backlight control PWM value into a display backlight driving circuit to realize backlight adjustment. According to the invention, the technical problem that errors exist between the screen brightness and the calibration due to the fact that the temperature difference exists between the temperature of the display during production calibration and the temperature of the display during actual use can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of backlight control for medical displays, and in particular to a backlight stabilization adjustment method, device, electronic terminal and storage medium. Background Art

[0002] Currently, medical radiographic displays generally require room-temperature aging during production. Sometimes, 10 to 20 units are aged at once, and the temperature of these displays can easily rise to around 40°C. This results in production calibration being performed at a higher temperature. After calibration, the temperature drops again during inspection, and the user's operating temperature can be higher or lower. This can cause a slight discrepancy between the screen brightness and the calibrated brightness. Large-size panels, in particular, have poor heat dissipation capabilities, making brightness more susceptible to temperature fluctuations.

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

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a backlight stabilization adjustment method, device, electronic terminal and storage medium, which can solve the technical problem that there is a temperature difference between the temperature of the display during production calibration and the temperature during actual use, thereby causing an error in screen brightness compared to the calibration.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

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

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

[0008] Based on the current front temperature and backlight temperature, predicting the backlight temperature and front temperature of the display at a next moment;

[0009] Calculating the backlight brightness and the front brightness at the next moment according to the backlight temperature and the front temperature at the next moment based on a pre-constructed binomial fitting relationship;

[0010] Performing weighted fusion on the backlight brightness and the front brightness at the next moment to obtain a final predicted backlight brightness value;

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

[0012] Based on the brightness deviation, the backlight control PWM value required to adjust the brightness change at the next moment is calculated step by step through the PID incremental adjustment algorithm;

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

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

[0015] ,

[0016] Calculate the front brightness at the next moment. The calculation formula includes:

[0017] ,

[0018] in, is the backlight temperature at the next moment, is the backlight brightness at the next moment, is the pre-temperature at the next moment, is the front brightness at the next moment, 、 、 and These are all preset fitting coefficients.

[0019] Furthermore, the backlight brightness and the front brightness at the next moment are weightedly integrated to obtain a final predicted backlight brightness value using a calculation formula including:

[0020] ,

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

[0022] Furthermore, a calculation 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 stabilize the backlight brightness, is the brightness deviation of the kth sampling period.

[0025] Furthermore, based on the brightness deviation, the backlight control PWM value required to adjust the brightness change at the next moment is gradually calculated by the PID incremental adjustment algorithm, including:

[0026] ,

[0027] + , ( >0),

[0028] ,

[0029] in, is the backlight deviation accumulated over k sampling periods, 、 and are the proportional control coefficient, the integral control coefficient and the differential control coefficient respectively, Is the proportional coefficient of backlight brightness and driving voltage PWM value, is the backlight control PWM value of the kth sampling period.

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

[0031] Acquisition module, used to obtain the current front temperature and backlight temperature of the display;

[0032] A prediction module, configured to predict the backlight temperature and the front temperature of the display at a next moment based on the current front temperature and the backlight temperature;

[0033] a brightness calculation module, configured to calculate the backlight brightness and the front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and the front temperature at the next moment;

[0034] A brightness fusion module, configured to perform weighted fusion of the backlight brightness and the front brightness at the next moment to obtain a final predicted backlight brightness value;

[0035] a brightness deviation calculation module, configured to calculate a brightness deviation between a preset target stable backlight brightness and the final predicted backlight brightness value;

[0036] A backlight control PWM value calculation module is used to gradually calculate the backlight control PWM value required to adjust the brightness change at the next moment based on the brightness deviation through a PID incremental adjustment algorithm;

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

[0038] In a third aspect, the present invention provides an electronic terminal comprising 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 any of the above methods are performed.

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

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] After obtaining the current front temperature and backlight temperature of the display, the Kalman filter estimation algorithm is used to combine the binomial fitting relationship between the backlight temperature, front temperature and backlight brightness to estimate the backlight brightness of the display at the next moment. Backlight brightness compensation is performed in advance before the brightness changes to offset the brightness changes caused by temperature changes, thereby achieving the effect of reducing the impact of temperature on backlight brightness. When there is a temperature difference between the temperature of the display during production calibration and the temperature during actual use, the error between the screen brightness during actual use and the screen brightness during production calibration can be reduced, thereby improving the accuracy of the 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 ​​when the ambient temperature changes suddenly, such as when the temperature changes by more than 10°C within half an hour of operation, the backlight brightness can be smoothly adjusted with a single adjustment accuracy of less than 1cd / m2, so that the backlight brightness is always in a stable state with a change amplitude of less than 2%. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a backlight stabilization adjustment method provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0044] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Unless there is a conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0045] The term "and / or" in this document simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Additionally, the character " / " in this document generally indicates an "or" relationship between the related objects.

[0046] For ease of understanding, the following are the explanations of the terms used in this application:

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

[0048] Ziegler-Nichols method:

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

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

[0051] Automatic tuning algorithm is a type of technology that can automatically calculate or optimize PID controller parameters. It reduces manual intervention and achieves fast and accurate parameter tuning through system identification, online experiments or intelligent optimization.

[0052] Example 1:

[0053] Figure 1 This is a flow chart of the backlight stabilization adjustment method in the first embodiment of the present invention. This flow chart only shows the logical sequence of the method described in this embodiment. In other possible embodiments of the present invention, different methods may be used without conflict. Figure 1 The steps shown or described are accomplished in the order shown.

[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, which can be implemented by software and / or hardware and can be integrated into a terminal, such as any smart phone, tablet computer or computer device with communication function. Figure 1 As shown, the method of this embodiment specifically includes the following steps:

[0055] Step 1: Get the current front temperature and backlight temperature of the display;

[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 according to a Kalman filter estimation algorithm;

[0057] It should be noted that predicting the backlight temperature and the front temperature of the display at the next moment belongs to the existing technology and will not be described in detail here.

[0058] Step 3: Based on the pre-built binomial fitting relationship,

[0059] Calculate the backlight brightness at the next moment. The calculation formula includes:

[0060] ,

[0061] Calculate the front brightness at the next moment. The calculation formula includes:

[0062] ,

[0063] in, is the backlight temperature at the next moment, is the backlight brightness at the next moment, is the pre-temperature at the next moment, is the front brightness at the next moment, 、 、 and These are all preset fitting coefficients.

[0064] Step 4: Perform weighted fusion on 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, is the final predicted backlight brightness value, is a priori adjustable constant. The value of α is determined by whether the backlight temperature or the front temperature is selected as the main temperature. In this embodiment, it is 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 stabilize the backlight brightness, is the brightness deviation of the kth sampling period.

[0070] Step 6: Based on the brightness deviation, the backlight control PWM value required to adjust the brightness change at the next moment is calculated step by step through the PID incremental adjustment algorithm, including:

[0071] ,

[0072] + , ( >0),

[0073] ,

[0074] in, is the backlight deviation accumulated over k sampling periods, 、 and There are three adjustment coefficients of PID adjustment algorithm, namely proportional control coefficient, integral control coefficient and differential control coefficient. The adjustment method of these three coefficients can be calculated by manual trial and error, Ziegler-Nichols or automatic tuning algorithm. It is the ratio coefficient between the backlight brightness and the driving voltage PWM value calculated based on actual measurements during the production of different panels. is the backlight control PWM value of the kth sampling period;

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

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

[0077] Specifically, the backlight control PWM value calculated at each (a total of k) intervals in the previous step is input into the display backlight driving circuit, thereby gradually achieving the desired backlight brightness. In addition, after a fixed time interval (generally recommended to be in the order of seconds or less), the first step can be repeated to cyclically execute the backlight stabilization adjustment method disclosed in this application;

[0078] The display backlight driving circuit is a common driving circuit for displays and only plays the role of automatically adjusting the backlight brightness under the control of the backlight control PWM value, so it will not be described in detail.

[0079] Example 2:

[0080] A second embodiment of the present invention provides a backlight stabilization adjustment device, comprising:

[0081] Acquisition module, used to obtain the current front temperature and backlight temperature of the display;

[0082] A prediction module, configured to predict the backlight temperature and the front temperature of the display at a next moment based on the current front temperature and the backlight temperature;

[0083] a brightness calculation module, configured to calculate the backlight brightness and the front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and the front temperature at the next moment;

[0084] A brightness fusion module, configured to perform weighted fusion of the backlight brightness and the front brightness at the next moment to obtain a final predicted backlight brightness value;

[0085] a brightness deviation calculation module, configured to calculate a brightness deviation between a preset target stable backlight brightness and the final predicted backlight brightness value;

[0086] A backlight control PWM value calculation module is used to gradually calculate the backlight control PWM value required to adjust the brightness change at the next moment based on the brightness deviation through a PID incremental adjustment algorithm;

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

[0088] The backlight stabilization and adjustment device provided in the second embodiment of the present invention can execute the backlight stabilization and adjustment method provided in the first embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0089] Example 3:

[0090] The third embodiment of the present invention further provides an electronic terminal, comprising a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and the processor is configured to operate according to the instructions to execute the steps of the method described in the first embodiment.

[0091] The electronic terminal provided in the third embodiment of the present invention can execute the backlight stabilization adjustment method provided in the first embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0092] Example 4:

[0093] Embodiment 4 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in embodiment 1 are implemented, and the computer program has functional modules and beneficial effects corresponding to the execution method.

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

[0095] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (apparatus), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0096] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0097] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0098] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A backlight stabilization adjustment method, characterized in that: include: Get the current front temperature and backlight temperature of the display; Based on the current front temperature and backlight temperature, predicting the backlight temperature and front temperature of the display at a next moment; Calculating the backlight brightness and the front brightness at the next moment based on the backlight temperature and the front temperature at the next moment based on a pre-constructed binomial fitting relationship; Performing weighted fusion on the backlight brightness and the front brightness at the next moment to obtain a final predicted backlight brightness value; Calculating a brightness deviation between a preset target stable backlight brightness and the final predicted backlight brightness value; Based on the brightness deviation, the backlight control PWM value required to adjust the brightness change at the next moment is gradually calculated through the PID incremental adjustment algorithm; The backlight control PWM value is input into the display backlight driving circuit to achieve backlight adjustment.

2. The backlight stabilization adjustment method according to claim 1, characterized in that: Based on the pre-built binomial fitting relationship, the backlight brightness at the next moment is calculated according to the backlight temperature at the next moment and the front temperature. The calculation formula is: include: ， Calculate the front brightness at the next moment. The calculation formula includes: ， in, is the backlight temperature at the next moment, is the backlight brightness at the next moment, is the pre-set temperature at the next moment, is the front brightness at the next moment, 、 、 and These are all preset fitting coefficients.

3. The backlight stabilization adjustment method according to claim 2, characterized in that: The backlight brightness and the front brightness at the next moment are weighted and integrated to obtain the final predicted backlight brightness value. The calculation formula includes: ， in, is the final predicted backlight brightness value, is a priori adjustable constant.

4. The backlight stabilization adjustment method according to claim 3, characterized in that: The calculation formula for calculating the brightness deviation between the preset target stable backlight brightness and the final predicted backlight brightness value includes: ， in, To stabilize the backlight brightness, is the brightness deviation of the kth 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 required to adjust the brightness change at the next moment is gradually calculated by the PID incremental adjustment algorithm, including: ， + ，（ >0）， ， in, is the backlight deviation accumulated over k sampling periods, 、 and are the proportional control coefficient, the integral control coefficient and the differential control coefficient respectively, Is the proportional coefficient of backlight brightness and driving voltage PWM value, is the backlight control PWM value of the kth sampling period.

6. A backlight stabilization adjustment device, characterized in that: include: Acquisition module, used to obtain the current front temperature and backlight temperature of the display; A prediction module, configured to predict the backlight temperature and the front temperature of the display at a next moment based on the current front temperature and the backlight temperature; a brightness calculation module, configured to calculate the backlight brightness and the front brightness at the next moment based on a pre-built binomial fitting relationship and the backlight temperature and the front temperature at the next moment; A brightness fusion module, configured to perform weighted fusion of the backlight brightness and the front brightness at the next moment to obtain a final predicted backlight brightness value; a brightness deviation calculation module, configured to calculate a brightness deviation between a preset target stable backlight brightness and the final predicted backlight brightness value; A backlight control PWM value calculation module is used to gradually calculate the backlight control PWM value required to adjust the brightness change at the next moment based on the brightness deviation through a PID incremental adjustment algorithm; The adjustment module is used to input the backlight control PWM value into the display backlight driving circuit to achieve backlight adjustment.

7. An electronic terminal, characterized in that: comprising a processor and a memory connected to said processor, A computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 5 are performed.

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

Images