Liquid crystal display screen driving method and system

Abstract

The invention discloses a liquid crystal display screen driving method and system, and belongs to the technical field of liquid crystal display screens, and the method comprises the following steps: S1, carrying out the collection and preprocessing of the historical data of a liquid crystal display screen; s2, determining an optimal liquid crystal display screen driving control model; s3, analyzing the real-time data of the liquid crystal display screen based on the optimal liquid crystal display screen driving control model, and determining a liquid crystal display screen driving control instruction; s4, voltage is applied to the horizontal scanning lines, so that liquid crystal molecules are twisted and rotated under the action of an electric field, a backlight lamp is driven to emit light, and an image is formed. The problem that the liquid crystal display screen cannot be well driven in the prior art, so that the hue, the brightness and the contrast ratio of the liquid crystal display screen are poor, and the driving effect of the liquid crystal display screen is poor is solved. According to the invention, the liquid crystal display screen can be well driven, so that the liquid crystal display screen shows good hue, brightness and contrast, and the driving effect of the liquid crystal display screen can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid crystal display screens, and in particular to a liquid crystal display screen driving method and system. Background Art

[0002] Liquid crystal displays use a liquid crystal solution in two polarized materials. When current passes through the liquid, the crystals are rearranged to achieve the purpose of imaging. Liquid crystal displays have been widely used in various electronic products due to their advantages such as high resolution and low power consumption.

[0003] The Chinese patent with publication number CN1735293A discloses an organic light emitting display screen capable of preventing image quality degradation, and a method for manufacturing the organic light emitting display screen, wherein a unit pixel for the organic light emitting display screen includes: a first transistor connected to a data line and having a first voltage threshold; a second transistor connected to the first and third transistors and controlled by a second selection signal; a third transistor connected to the first transistor and controlled by a first selection signal; and a fourth transistor connected to the third transistor and having a fourth voltage threshold, so that the driving current of the fourth transistor can be controlled independently of the fourth voltage threshold; however, the patent has the following defects:

[0004] The existing LCD cannot drive the LCD well, resulting in poor color tone, brightness and contrast of the LCD, and poor driving effect of the LCD. Summary of the invention

[0005] The purpose of the present invention is to provide a liquid crystal display driving method and system, which can better drive the liquid crystal display so that the liquid crystal display presents better color tone, brightness and contrast, improve the driving effect of the liquid crystal display, and solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A liquid crystal display screen driving method comprises the following steps:

[0008] S1: collecting the LCD screen color tone, brightness and contrast parameters set by the user, determining the LCD screen historical data based on big data, pre-processing the LCD screen historical data based on big data, and determining the LCD screen feature data based on big data;

[0009] S2: According to the driving requirements of the LCD display, train the LCD display driving control model based on deep learning, test and optimize the LCD display driving control model based on deep learning, and determine the optimal LCD display driving control model;

[0010] S3: Collecting color tone parameters, brightness parameters and contrast parameters that meet user needs, determining real-time data of the LCD screen, analyzing the real-time data of the LCD screen based on the optimal LCD screen drive control model, and determining LCD screen drive control instructions;

[0011] S4: Based on the LCD display driving control instruction, a voltage is applied to the horizontal scanning line, so that all thin film transistors electrically connected to the horizontal scanning line are turned on, so that the voltage on the vertical data line can be written into the pixel, and the liquid crystal molecules are twisted and rotated under the action of the electric field, driving the backlight to emit light and form an image.

[0012] Preferably, in S1, historical data of the LCD screen based on big data is collected, and the following operations are performed:

[0013] Collect the color tone of the LCD screen set by the user and determine the color tone parameters of the LCD screen;

[0014] Collect the LCD screen brightness set by the user and determine the LCD screen brightness parameters;

[0015] Collect the contrast of the LCD screen set by the user and determine the contrast parameters of the LCD screen;

[0016] Wherein, based on the LCD screen color tone parameter, the LCD screen brightness parameter and the LCD screen contrast parameter, the LCD screen historical data based on big data is determined.

[0017] Preferably, the historical data of the LCD screen based on big data is collected, and the following operations are also performed:

[0018] Extracting the collected LCD screen color parameters, LCD screen brightness parameters and LCD screen contrast parameters;

[0019] Obtaining a LCD screen hue parameter change rate, an LCD screen brightness parameter change rate, and an LCD screen contrast parameter change rate according to the collected LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter;

[0020] Obtaining a parameter variation coefficient using the LCD screen hue parameter variation rate, the LCD screen brightness parameter rate, and the LCD screen contrast parameter variation rate;

[0021] The parameter variation coefficient is obtained by the following formula:

[0022]

[0023] Among them, S represents the parameter variation coefficient; X 01 , X 02 and X 03They represent the LCD screen hue parameter change rate, LCD screen brightness parameter rate and LCD screen contrast parameter change rate respectively; X 01b , X 02b and X 03b They represent the standard deviation of the LCD screen hue parameter, the standard deviation of the LCD screen brightness, and the standard deviation of the LCD screen contrast parameter respectively;

[0024] Comparing the parameter variation coefficient with a preset variation coefficient threshold;

[0025] When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is uniformly adjusted.

[0026] Preferably, when the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is uniformly adjusted, including:

[0027] When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is retrieved;

[0028] Retrieve the maximum parameter variation range corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter;

[0029] The data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is adjusted by using the maximum parameter change amplitude corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter in combination with the parameter change coefficient to obtain the adjusted data collection frequency corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter;

[0030] The adjusted data acquisition frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter is obtained by the following formula:

[0031]

[0032] Among them, F t represents the data collection frequency after adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; F0 represents the data collection frequency before adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; S represents the parameter variation coefficient; X brepresents the standard deviation of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X represents the parameter change rate of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X fmax Indicates the maximum parameter variation range corresponding to the LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter; X max Indicates the maximum value of the parameters corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter;

[0033] The LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter set by the user are collected according to the adjusted data collection frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter.

[0034] Preferably, in S1, the historical data of the LCD screen based on big data is preprocessed by performing the following operations:

[0035] Obtain historical data of LCD screens based on big data;

[0036] Clean the historical data of LCD screens based on big data, including:

[0037] Conduct consistency check on LCD display historical data based on big data;

[0038] According to the data consistency requirement, check whether there is inconsistent data that is useless to the LCD display driver in the LCD display history data based on big data, and remove the inconsistent data in the LCD display history data based on big data;

[0039] Check invalid and missing values ​​on historical data of LCD screens based on big data;

[0040] According to the data validity and integrity requirements, check whether there are invalid values ​​and missing values ​​that are useless for driving the LCD screen in the historical data of the LCD screen based on big data, and remove the invalid values ​​and missing values ​​in the historical data of the LCD screen based on big data;

[0041] Determine LCD display history data useful for LCD display driving.

[0042] Preferably, in S1, the historical data of the LCD screen based on big data is preprocessed, and the following operations are further performed:

[0043] Get LCD display history data useful for LCD display driver;

[0044] Convert LCD display history data useful for LCD display driver;

[0045] Unify the formats of LCD historical data useful for LCD driving, eliminate the dimension differences between the LCD historical data useful for LCD driving, and determine the standardized LCD historical data;

[0046] Perform feature extraction on standardized LCD display historical data;

[0047] Features that can reflect the driving of the LCD screen are extracted from the standardized historical data of the LCD screen, and the feature data of the LCD screen based on big data is determined.

[0048] Preferably, in S2, an optimal liquid crystal display screen driving control model is determined, and the following operations are performed:

[0049] Obtain LCD display feature data based on big data;

[0050] Divide the characteristic data of LCD screen based on big data and determine the training set and test set;

[0051] Select a neural network model framework suitable for LCD display drive control;

[0052] Based on the training set, the selected neural network model framework suitable for liquid crystal display screen drive control is trained to determine the liquid crystal display screen drive control model based on deep learning;

[0053] Based on the test set, the performance test of the LCD display drive control model based on deep learning is performed to determine whether the LCD display drive control model based on deep learning can achieve the expected effect and determine the performance test results of the LCD display drive control model;

[0054] According to the performance test results of the LCD display drive control model, the LCD display drive control model based on deep learning is analyzed, and the parameters of the LCD display drive control model based on deep learning are adjusted and the structure is optimized to determine the optimal LCD display drive control model.

[0055] Preferably, in S3, the liquid crystal display screen driving control instruction is determined, and the following operations are performed:

[0056] According to the driving requirements of the LCD screen, collect the color tone parameters, brightness parameters and contrast parameters that meet the user's needs, and determine the real-time data of the LCD screen;

[0057] Deploy the optimal LCD display driving control model in the actual LCD display driving environment;

[0058] Input the real-time data of the LCD screen into the optimal LCD screen driving control model;

[0059] Based on the optimal LCD display drive control model, the real-time data of the LCD display is analyzed to determine the LCD display drive control instructions.

[0060] Preferably, in S4, the backlight is driven to emit light to form an image, and the following operations are performed:

[0061] Get LCD display driver control instructions;

[0062] Applying voltage on horizontal scanning lines based on LCD display driving control instructions;

[0063] Each pixel of the liquid crystal display is electrically connected to a thin film transistor, the gate of the thin film transistor is connected to the horizontal scan line, the source of the thin film transistor is connected to the vertical data line, and the drain of the thin film transistor is connected to the liquid crystal pixel electrode;

[0064] After voltage is applied to the horizontal scan line, all thin film transistors electrically connected to the horizontal scan line are turned on, so that the voltage on the vertical data line can be written into the pixel, charging the liquid crystal pixel electrode, causing the liquid crystal molecules to twist and rotate under the action of the electric field, causing their position to change, changing the impedance of the display unit, generating current changes, driving the backlight to emit light, and forming an image.

[0065] According to another aspect of the present invention, a liquid crystal display driving system is provided, which is used to implement the liquid crystal display driving method as described above, and includes a display unit, a data driver and a driving controller, wherein the driving controller is electrically connected to the data driver, and the data driver is electrically connected to the display unit;

[0066] The driving controller is used to control the driving of the liquid crystal display screen;

[0067] The data driver is used to drive the liquid crystal display screen;

[0068] The display unit is used to display images on a liquid crystal display screen;

[0069] Wherein, the drive controller comprises:

[0070] A data acquisition unit, used to collect historical data of the LCD screen based on big data;

[0071] A data processing unit, used for preprocessing historical data of the LCD screen based on big data;

[0072] A model training unit, used to train an optimal LCD display driving control model;

[0073] The driving control unit is used to control the driving of the liquid crystal display screen and determine the driving control instructions of the liquid crystal display screen.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] 1. The present invention collects the color tone, brightness and contrast parameters of the liquid crystal display set by the user, determines the historical data of the liquid crystal display, pre-processes the historical data of the liquid crystal display, determines the characteristic data of the liquid crystal display, trains the liquid crystal display drive control model according to the driving requirements of the liquid crystal display, tests and optimizes the liquid crystal display drive control model, determines the optimal liquid crystal display drive control model, analyzes the real-time data of the liquid crystal display based on the optimal liquid crystal display drive control model, determines the liquid crystal display drive control instructions, and facilitates driving the liquid crystal display.

[0076] 2. The present invention applies voltage on the horizontal scanning line according to the liquid crystal display driving control instruction, so that all the thin film transistors electrically connected to the horizontal scanning line are turned on, so that the voltage on the vertical data line can be written into the pixel, and the liquid crystal pixel electrode is charged, so that the liquid crystal molecules are twisted and rotated under the action of the electric field, so that their positions are changed, the impedance of the display unit is changed, the current is changed, the backlight is driven to emit light, and an image is formed. The user's requirements for the color tone, brightness and contrast of the liquid crystal display can be met, the liquid crystal display can be driven better, the liquid crystal display can present better color tone, brightness and contrast, and the driving effect of the liquid crystal display can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 is a flow chart of a liquid crystal display driving method of the present invention;

[0078] Figure 2 The module structure diagram of the liquid crystal display driving system of the present invention is shown in FIG. DETAILED DESCRIPTION

[0079] 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.

[0080] In order to solve the problem that the existing LCD screen cannot be driven well, resulting in poor color tone, brightness and contrast of the LCD screen, resulting in poor driving effect of the LCD screen, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0081] A liquid crystal display screen driving method comprises the following steps:

[0082] S1: collecting the LCD screen color tone, brightness and contrast parameters set by the user, determining the LCD screen historical data based on big data, pre-processing the LCD screen historical data based on big data, and determining the LCD screen feature data based on big data;

[0083] In this embodiment, historical data of the LCD screen based on big data is collected, and the following operations are performed:

[0084] Collect the color tone of the LCD screen set by the user and determine the color tone parameters of the LCD screen;

[0085] Collect the LCD screen brightness set by the user and determine the LCD screen brightness parameters;

[0086] Collect the contrast of the LCD screen set by the user and determine the contrast parameters of the LCD screen;

[0087] Wherein, based on the LCD screen color tone parameter, the LCD screen brightness parameter and the LCD screen contrast parameter, the LCD screen historical data based on big data is determined.

[0088] It should be noted that by collecting the LCD screen color tone, brightness and contrast parameters set by the user and determining the LCD screen historical data, data support can be provided for the subsequent training of the LCD screen drive control model.

[0089] Specifically, the historical data of the LCD screen based on big data is collected, and the following operations are also performed:

[0090] Extracting the collected LCD screen color parameters, LCD screen brightness parameters and LCD screen contrast parameters;

[0091] Obtaining a LCD screen hue parameter change rate, an LCD screen brightness parameter change rate, and an LCD screen contrast parameter change rate according to the collected LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter;

[0092] Obtaining a parameter variation coefficient using the LCD screen hue parameter variation rate, the LCD screen brightness parameter rate, and the LCD screen contrast parameter variation rate;

[0093] The parameter variation coefficient is obtained by the following formula:

[0094]

[0095] Among them, S represents the parameter variation coefficient; X 01 , X 02 and X 03They represent the LCD screen hue parameter change rate, LCD screen brightness parameter rate and LCD screen contrast parameter change rate respectively; X 01b , X 02b and X 03b They represent the standard deviation of the LCD screen hue parameter, the standard deviation of the LCD screen brightness, and the standard deviation of the LCD screen contrast parameter respectively;

[0096] Comparing the parameter variation coefficient with a preset variation coefficient threshold;

[0097] When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is uniformly adjusted.

[0098] The technical effect of the above technical solution is: by collecting key parameters such as the hue, brightness and contrast of the liquid crystal display and calculating their change rate, the technical solution can monitor the performance changes of the display in real time. This is crucial to ensure the stability and consistency of the quality of the display, especially in situations where long-term and high-load operation is required. Using the ratio of the parameter change rate to the respective standard deviation (i.e., the parameter change coefficient S), the solution can intelligently evaluate the current state of the display. This evaluation method not only considers the change speed of the parameter, but also the discrete degree of the parameter change, thereby providing a more comprehensive and accurate evaluation of the performance of the display. When the parameter change coefficient exceeds the preset threshold, it means that the performance of the display may have changed significantly. At this time, automatically adjusting the data collection frequency can more effectively capture the changing trend of the display performance. This adaptive adjustment mechanism helps to improve the sensitivity and accuracy of monitoring while avoiding unnecessary data redundancy. By intelligently adjusting the data collection frequency, the technical solution can reduce the energy consumption of data collection and processing while ensuring the monitoring quality. This is of great significance for improving the energy efficiency of the entire system and extending the service life of the display. Real-time monitoring and intelligent evaluation of the performance changes of the display help to promptly discover potential signs of failure and take corresponding preventive measures. This can greatly reduce the incidence of display failures, maintenance costs and downtime. The technical solution is based on big data and intelligent algorithms, and has good scalability and maintainability. With the advancement of technology and the improvement of display performance, the solution can be easily upgraded and optimized to meet new monitoring needs.

[0099] In summary, this technical solution achieves comprehensive, efficient and intelligent monitoring of LCD display performance through precise monitoring, intelligent evaluation, and adaptive adjustment of data collection frequency, providing strong technical support for improving display quality, reducing maintenance costs, and preventing potential failures.

[0100] Specifically, when the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter, and the LCD screen contrast parameter is uniformly adjusted, including:

[0101] When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is retrieved;

[0102] Retrieve the maximum parameter variation range corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter;

[0103] The data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is adjusted by using the maximum parameter change amplitude corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter in combination with the parameter change coefficient to obtain the adjusted data collection frequency corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter;

[0104] The adjusted data acquisition frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter is obtained by the following formula:

[0105]

[0106] Among them, F t represents the data collection frequency after adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; F0 represents the data collection frequency before adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; S represents the parameter variation coefficient; X b represents the standard deviation of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X represents the parameter change rate of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X fmax Indicates the maximum parameter variation range corresponding to the LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter; X max Indicates the maximum value of the parameters corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter;

[0107] The LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter set by the user are collected according to the adjusted data collection frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter.

[0108] The technical effect of the above technical solution is that when the coefficient of change of key parameters such as the color tone, brightness and contrast of the liquid crystal display exceeds the preset threshold, the technical solution can dynamically adjust the data collection frequency of these parameters. This dynamic adjustment mechanism ensures that data collection can closely follow the actual changes in the performance of the display screen, thereby improving the accuracy and timeliness of monitoring. By comprehensively considering multiple factors such as the parameter change coefficient, standard deviation, parameter change rate and maximum parameter change amplitude, the solution can intelligently calculate the adjusted data collection frequency. This optimization strategy not only improves the efficiency of data collection, but also avoids unnecessary data redundancy, thereby reducing the overall energy consumption of the system. The adjusted data collection frequency can more accurately capture the changing trend of the display screen performance, especially when the performance changes significantly. This helps to improve the accuracy and response speed of monitoring, so that the system can more promptly discover potential problems and take corresponding treatment measures. The technical solution can intelligently adjust the data collection frequency according to the actual changes in the performance of the display screen, thereby ensuring that the display screen parameters set by the user can be accurately and timely collected and reflected. This helps to improve the overall user experience, especially in application scenarios with high requirements for display screen performance. The technical solution is based on intelligent algorithms and dynamic adjustment mechanisms, and is easy to implement and maintain. The system can automatically adjust the frequency of data collection according to preset rules and conditions without manual intervention, thus reducing maintenance costs and workload. The design of this technical solution has certain scalability and flexibility, and the algorithms and rules can be further optimized and expanded according to actual needs.

[0109] In summary, this technical solution achieves comprehensive, efficient and intelligent monitoring of LCD screen performance by dynamically adjusting data collection frequency, intelligently optimizing collection strategies, and improving monitoring accuracy and response speed. This not only helps to improve user experience and system performance, but also reduces maintenance costs and workload, providing strong technical support for the long-term use and maintenance of LCD screens.

[0110] In this embodiment, the historical data of the LCD screen based on big data is preprocessed, and the following operations are performed:

[0111] Obtain historical data of LCD screens based on big data;

[0112] Clean the historical data of LCD screens based on big data, including:

[0113] Conduct consistency check on LCD display historical data based on big data;

[0114] According to the data consistency requirement, check whether there is inconsistent data that is useless to the LCD display driver in the LCD display history data based on big data, and remove the inconsistent data in the LCD display history data based on big data;

[0115] Check invalid and missing values ​​on historical data of LCD screens based on big data;

[0116] According to the data validity and integrity requirements, check whether there are invalid values ​​and missing values ​​that are useless for driving the LCD screen in the historical data of the LCD screen based on big data, and remove the invalid values ​​and missing values ​​in the historical data of the LCD screen based on big data;

[0117] Determining LCD display history data useful for LCD display driving;

[0118] It should be noted that by cleaning the historical data of the LCD screen, inconsistent data, invalid values ​​and missing values ​​that are useless to the LCD screen driver can be removed, and the historical data of the LCD screen that is useful to the LCD screen driver can be determined, which can improve the processing accuracy and efficiency of subsequent LCD screen historical data.

[0119] Convert LCD display history data useful for LCD display driver;

[0120] Unify the formats of LCD historical data useful for LCD driving, eliminate the dimension differences between the LCD historical data useful for LCD driving, and determine the standardized LCD historical data;

[0121] Perform feature extraction on standardized LCD display historical data;

[0122] Features that can reflect the driving of the LCD screen are extracted from the standardized historical data of the LCD screen, and the feature data of the LCD screen based on big data is determined.

[0123] It should be noted that by converting and extracting features from historical data of the LCD screen that is useful for driving the LCD screen, feature data of the LCD screen can be determined, which is convenient for subsequent training of a LCD screen drive control model.

[0124] S2: According to the driving requirements of the LCD display, train the LCD display driving control model based on deep learning, test and optimize the LCD display driving control model based on deep learning, and determine the optimal LCD display driving control model;

[0125] In this embodiment, the optimal liquid crystal display screen driving control model is determined by performing the following operations:

[0126] Obtain LCD display feature data based on big data;

[0127] Divide the characteristic data of LCD screen based on big data and determine the training set and test set;

[0128] Select a neural network model framework suitable for LCD display drive control;

[0129] Based on the training set, the selected neural network model framework suitable for liquid crystal display screen drive control is trained to determine the liquid crystal display screen drive control model based on deep learning;

[0130] Based on the test set, the performance test of the LCD display drive control model based on deep learning is performed to determine whether the LCD display drive control model based on deep learning can achieve the expected effect and determine the performance test results of the LCD display drive control model;

[0131] According to the performance test results of the LCD display drive control model, the LCD display drive control model based on deep learning is analyzed, and the parameters of the LCD display drive control model based on deep learning are adjusted and the structure is optimized to determine the optimal LCD display drive control model.

[0132] S3: Collecting color tone parameters, brightness parameters and contrast parameters that meet user needs, determining real-time data of the LCD screen, analyzing the real-time data of the LCD screen based on the optimal LCD screen drive control model, and determining LCD screen drive control instructions;

[0133] In this embodiment, the liquid crystal display screen driving control instruction is determined, and the following operations are performed:

[0134] According to the driving requirements of the LCD screen, collect the color tone parameters, brightness parameters and contrast parameters that meet the user's needs, and determine the real-time data of the LCD screen;

[0135] Deploy the optimal LCD display driving control model in the actual LCD display driving environment;

[0136] Input the real-time data of the LCD screen into the optimal LCD screen driving control model;

[0137] Based on the optimal LCD display drive control model, the real-time data of the LCD display is analyzed to determine the LCD display drive control instructions.

[0138] It should be noted that the display effect of the LCD screen can be dynamically optimized according to the color tone, brightness and contrast parameters of the LCD screen to provide users with a more comfortable viewing experience.

[0139] S4: Based on the LCD display driving control instruction, a voltage is applied to the horizontal scanning line, so that all thin film transistors electrically connected to the horizontal scanning line are turned on, so that the voltage on the vertical data line can be written into the pixel, and the liquid crystal molecules are twisted and rotated under the action of the electric field, driving the backlight to emit light and form an image.

[0140] In this embodiment, the backlight is driven to emit light and form an image, and the following operations are performed:

[0141] Get LCD display driver control instructions;

[0142] Applying voltage on horizontal scanning lines based on LCD display driving control instructions;

[0143] Each pixel of the liquid crystal display is electrically connected to a thin film transistor, the gate of the thin film transistor is connected to the horizontal scan line, the source of the thin film transistor is connected to the vertical data line, and the drain of the thin film transistor is connected to the liquid crystal pixel electrode;

[0144] After voltage is applied to the horizontal scan line, all thin film transistors electrically connected to the horizontal scan line are turned on, so that the voltage on the vertical data line can be written into the pixel, charging the liquid crystal pixel electrode, causing the liquid crystal molecules to twist and rotate under the action of the electric field, causing their position to change, changing the impedance of the display unit, generating current changes, driving the backlight to emit light, and forming an image.

[0145] In order to better demonstrate the driving condition of the liquid crystal display screen, the present embodiment now provides a liquid crystal display screen driving system for implementing the above-mentioned liquid crystal display screen driving method, including a display unit, a data driver and a driving controller, wherein the driving controller is electrically connected to the data driver, and the data driver is electrically connected to the display unit;

[0146] The driving controller is used to control the driving of the liquid crystal display screen;

[0147] The data driver is used to drive the liquid crystal display screen;

[0148] The display unit is used to display images on a liquid crystal display screen;

[0149] Wherein, the drive controller comprises:

[0150] A data acquisition unit, used to collect historical data of the LCD screen based on big data;

[0151] A data processing unit, used for preprocessing historical data of the LCD screen based on big data;

[0152] A model training unit, used to train an optimal LCD display driving control model;

[0153] The driving control unit is used to control the driving of the liquid crystal display screen and determine the driving control instructions of the liquid crystal display screen.

[0154] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0155] 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. A method for driving a liquid crystal display, characterized in that: The steps include: S1: collecting the LCD screen color tone, brightness and contrast parameters set by the user, determining the LCD screen historical data based on big data, pre-processing the LCD screen historical data based on big data, and determining the LCD screen feature data based on big data; S2: According to the driving requirements of the LCD display, train the LCD display driving control model based on deep learning, test and optimize the LCD display driving control model based on deep learning, and determine the optimal LCD display driving control model; S3: Collecting color tone parameters, brightness parameters and contrast parameters that meet user needs, determining real-time data of the LCD screen, analyzing the real-time data of the LCD screen based on the optimal LCD screen drive control model, and determining LCD screen drive control instructions; S4: Based on the LCD display driving control instruction, a voltage is applied to the horizontal scanning line, so that all thin film transistors electrically connected to the horizontal scanning line are turned on, so that the voltage on the vertical data line can be written into the pixel, and the liquid crystal molecules are twisted and rotated under the action of the electric field, driving the backlight to emit light and form an image.

2. The liquid crystal display driving method according to claim 1, characterized in that: In S1, historical data of the LCD screen based on big data is collected, and the following operations are performed: Collect the color tone of the LCD screen set by the user and determine the color tone parameters of the LCD screen; Collect the LCD screen brightness set by the user and determine the LCD screen brightness parameters; Collect the contrast of the LCD screen set by the user and determine the contrast parameters of the LCD screen; Wherein, based on the LCD screen color tone parameter, the LCD screen brightness parameter and the LCD screen contrast parameter, the LCD screen historical data based on big data is determined.

3. The liquid crystal display driving method according to claim 2, characterized in that: Collect historical data of LCD screens based on big data, and also perform the following operations: Extracting the collected LCD screen color parameters, LCD screen brightness parameters and LCD screen contrast parameters; Obtaining a LCD screen hue parameter change rate, an LCD screen brightness parameter change rate, and an LCD screen contrast parameter change rate according to the collected LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter; Obtaining a parameter variation coefficient using the LCD screen hue parameter variation rate, the LCD screen brightness parameter rate, and the LCD screen contrast parameter variation rate; The parameter variation coefficient is obtained by the following formula: Among them, S represents the parameter variation coefficient; X 01 , X 02 and X 03 They represent the LCD screen hue parameter change rate, LCD screen brightness parameter rate and LCD screen contrast parameter change rate respectively; X 01b , X 02b and X 03b They represent the standard deviation of the LCD screen hue parameter, the standard deviation of the LCD screen brightness, and the standard deviation of the LCD screen contrast parameter respectively; Comparing the parameter variation coefficient with a preset variation coefficient threshold; When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is uniformly adjusted.

4. The liquid crystal display driving method according to claim 2, characterized in that: When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter, and the LCD screen contrast parameter is uniformly adjusted, including: When the parameter variation coefficient exceeds a preset variation coefficient threshold, the data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is retrieved; Retrieve the maximum parameter variation range corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter; The data collection frequency of the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter is adjusted by using the maximum parameter change amplitude corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter in combination with the parameter change coefficient to obtain the adjusted data collection frequency corresponding to the LCD screen hue parameter, the LCD screen brightness parameter and the LCD screen contrast parameter; The adjusted data acquisition frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter is obtained by the following formula: Among them, F t represents the data collection frequency after adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; F0 represents the data collection frequency before adjustment corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; S represents the parameter variation coefficient; X b represents the standard deviation of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X represents the parameter change rate of the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; X fmax Indicates the maximum parameter variation range corresponding to the LCD screen hue parameter, LCD screen brightness parameter, and LCD screen contrast parameter; X max Indicates the maximum value of the parameters corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter; The LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter set by the user are collected according to the adjusted data collection frequency corresponding to the LCD screen hue parameter, LCD screen brightness parameter and LCD screen contrast parameter.

5. The liquid crystal display driving method according to claim 2, characterized in that: In S1, the historical data of the LCD screen based on big data is preprocessed, and the following operations are performed: Obtain historical data of LCD screens based on big data; Clean the historical data of LCD screens based on big data, including: Conduct consistency check on LCD display historical data based on big data; According to the data consistency requirement, check whether there is inconsistent data that is useless to the LCD display driver in the LCD display history data based on big data, and remove the inconsistent data in the LCD display history data based on big data; Check invalid and missing values ​​on historical data of LCD screens based on big data; According to the data validity and integrity requirements, check whether there are invalid values ​​and missing values ​​that are useless for driving the LCD screen in the historical data of the LCD screen based on big data, and remove the invalid values ​​and missing values ​​in the historical data of the LCD screen based on big data; Determine LCD display history data useful for LCD display driving.

6. The liquid crystal display driving method according to claim 5, characterized in that: In S1, the historical data of the LCD screen based on big data is preprocessed, and the following operations are performed: Get LCD display history data useful for LCD display driver; Convert LCD display history data useful for LCD display driver; Unify the formats of LCD historical data useful for LCD driving, eliminate the dimension differences between the LCD historical data useful for LCD driving, and determine the standardized LCD historical data; Perform feature extraction on standardized LCD display historical data; Features that can reflect the driving of the LCD screen are extracted from the standardized historical data of the LCD screen, and the feature data of the LCD screen based on big data is determined.

7. The liquid crystal display driving method according to claim 6, characterized in that: In S2, the optimal liquid crystal display screen driving control model is determined, and the following operations are performed: Obtain LCD display feature data based on big data; Divide the characteristic data of LCD screen based on big data and determine the training set and test set; Select a neural network model framework suitable for LCD display drive control; Based on the training set, the selected neural network model framework suitable for liquid crystal display drive control is trained to determine the liquid crystal display drive control model based on deep learning; Based on the test set, the performance test of the LCD display drive control model based on deep learning is performed to determine whether the LCD display drive control model based on deep learning can achieve the expected effect and determine the performance test results of the LCD display drive control model; According to the performance test results of the LCD display drive control model, the LCD display drive control model based on deep learning is analyzed, and the parameters of the LCD display drive control model based on deep learning are adjusted and the structure is optimized to determine the optimal LCD display drive control model.

8. The liquid crystal display driving method according to claim 7, characterized in that: In S3, the liquid crystal display screen driving control instruction is determined, and the following operations are performed: According to the driving requirements of the LCD screen, collect the color tone parameters, brightness parameters and contrast parameters that meet the user's needs, and determine the real-time data of the LCD screen; Deploy the optimal LCD display driving control model in the actual LCD display driving environment; Input the real-time data of the LCD screen into the optimal LCD screen driving control model; Based on the optimal LCD display drive control model, the real-time data of the LCD display is analyzed to determine the LCD display drive control instructions.

9. The liquid crystal display driving method according to claim 8, characterized in that: In S4, the backlight is driven to emit light to form an image, and the following operations are performed: Get LCD display driver control instructions; Applying voltage on horizontal scanning lines based on LCD display driving control instructions; Each pixel of the liquid crystal display is electrically connected to a thin film transistor, the gate of the thin film transistor is connected to the horizontal scan line, the source of the thin film transistor is connected to the vertical data line, and the drain of the thin film transistor is connected to the liquid crystal pixel electrode; After voltage is applied to the horizontal scan line, all thin film transistors electrically connected to the horizontal scan line are turned on, so that the voltage on the vertical data line can be written into the pixel, charging the liquid crystal pixel electrode, causing the liquid crystal molecules to twist and rotate under the action of the electric field, causing their position to change, changing the impedance of the display unit, generating current changes, driving the backlight to emit light, and forming an image.

10. A liquid crystal display screen driving system, used to implement the liquid crystal display screen driving method according to claim 9, comprising a display unit, a data driver and a driving controller, characterized in that: The driving controller is electrically connected to the data driver, and the data driver is electrically connected to the display unit; The driving controller is used to control the driving of the liquid crystal display screen; The data driver is used to drive the liquid crystal display screen; The display unit is used to display images on a liquid crystal display screen; Wherein, the drive controller comprises: A data acquisition unit, used to collect historical data of the LCD screen based on big data; A data processing unit, used for preprocessing historical data of the LCD screen based on big data; A model training unit, used to train an optimal LCD display driving control model; The driving control unit is used to control the driving of the liquid crystal display screen and determine the driving control instructions of the liquid crystal display screen.

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