Disclosure of Invention
The invention provides a control method of an organic light emitting display system, which is used for determining a target color mode according to the color requirement of a target user; and then, the display device is monitored and analyzed in real time to optimize the display performance of the display device in the current target color mode based on the display data generated by the target color mode display, so that the reliability of the display effect of the display device can be effectively enhanced, the display requirements of different application scenes can be met, and the user experience can be improved.
The invention provides a control method of an organic light emitting display system, comprising the following steps:
Step 1: the target user selects a target color mode according to the color requirement of the user, and when the color mode meeting the color requirement of the user does not exist, the color mode is customized;
step 2: the display data generated by the display equipment based on the target color mode display is monitored and analyzed in real time, and a performance analysis result is obtained;
Step 3: according to the performance analysis result, optimizing the display performance of the display device in the current target color mode specifically comprises the following steps:
Calculating to obtain a parameter adjustment value of a trend-analysis result and an anomaly-analysis result based on the performance analysis result;
Determining a trend-parameter adjustment level and an anomaly-parameter adjustment level by analyzing the trend-analysis result and the parameter adjustment value of the anomaly-analysis result;
and selecting corresponding performance adjustment means to perform performance optimization on the current display equipment according to the trend-parameter adjustment level and the abnormality-parameter adjustment level.
Preferably, the target user selects a target color mode according to the current user color requirement, and when there is no color mode meeting the user color requirement, the method comprises the steps of:
Matching color patterns from a color pattern list of the display device according to user color requirements of the target user;
if the matching is successful, setting the matched color mode as a target color mode by utilizing a color mode setting option of a user interface of the display equipment;
If the matching is unsuccessful, utilizing a color mode creation option of a user interface of the display device to create a color mode based on the user color requirement of the target user and adding the color mode into a color mode list;
The newly created color mode is set to the target color mode using a color mode setting option of a user interface of the display device.
Preferably, the user color requirements include color parameter preference requirements, application scene requirements.
Preferably, the real-time monitoring and analyzing display device displays the generated display data based on the target color mode to obtain a performance analysis result, including:
Capturing first performance display parameter data displayed by the display device based on a target color mode in real time by using a preset data acquisition tool;
after the first performance display parameter data is subjected to data preprocessing, comparing and analyzing the data with a corresponding mode-display parameter reference value to obtain first performance parameter deviation data;
when the first performance parameter deviation data of all the performance display parameters are not larger than the set parameter deviation threshold, analyzing the performance change trend of the display equipment to obtain a first change analysis result;
Extracting a first adjustment display parameter from the first change analysis result, and generating a trend-analysis result by corresponding prediction parameter data, prediction parameter deviation data and deviation coefficients;
When the first performance parameter deviation data with single or multiple display parameters is larger than the set parameter deviation threshold, marking the corresponding performance display parameters as second adjustment display parameters;
Generating an anomaly-analysis result based on the first display parameter data of the second adjustment display parameter, the first parameter deviation data;
and outputting the trend-analysis result and the abnormality-analysis result as performance analysis results.
Preferably, the performance change trend analysis of the display device, to obtain a first change analysis result, includes:
Acquiring historical performance display parameter data of the display equipment in different color modes within a preset time period, and performing data preprocessing on the historical performance display parameter data to obtain historical display data;
extracting features of the historical display data to obtain key time features;
taking the key time characteristics and the historical display data as input parties, and introducing an autoregressive algorithm to construct a performance display prediction model;
Inputting the first performance display parameter data into the performance display prediction model to obtain prediction parameter data of the display equipment in a future preset time period;
calculating the difference value between the predicted parameter data and the corresponding mode-display parameter reference value to obtain predicted parameter deviation data;
Constructing and obtaining a parameter deviation prediction change map of each performance display parameter based on the prediction parameter deviation data;
Obtaining a deviation coefficient of a corresponding performance display parameter by extracting and combining with the key characteristics of the analysis parameter deviation prediction change diagram;
When the deviation coefficient of the single or multiple performance display parameters is larger than the set deviation coefficient, calibrating the corresponding performance display parameters as first adjustment display parameters;
And generating a first change analysis result based on all the first adjustment display parameters, the predicted parameter data of the rest display parameters, the deviation coefficient and the parameter deviation predicted change map.
Preferably, selecting a corresponding performance adjustment means to perform performance optimization on the current display device according to the trend-parameter adjustment level and the anomaly-parameter adjustment level, including:
When the trend-parameter adjustment level or the abnormal-parameter adjustment level is normal adjustment, respectively acquiring a set parameter adjustment strategy of the first adjustment display parameter and the second adjustment display parameter;
combining the predicted parameter data and the predicted parameter deviation data of the first adjustment display parameters with corresponding set parameter adjustment strategies to generate a first adjustment display instruction;
combining the first display parameter data and the first parameter deviation data of the second adjustment display parameters with corresponding setting parameter adjustment strategies to generate a second adjustment display instruction;
Based on the display equipment control driving circuit, implementing the first adjustment display instruction and the second adjustment display instruction;
When the trend-parameter adjustment level or the anomaly-parameter adjustment level is particularly adjusted, the intelligent algorithm is utilized to realize the optimization of the color conversion matrix, and the optimized color conversion matrix is deployed to the display equipment for color conversion.
Preferably, the calculation formulas of the parameter adjustment values of the trend-analysis result and the anomaly-analysis result are as follows:
; in the method, in the process of the invention, Parameter adjustment values expressed as trend-analysis results; Expressed as the total number of performance display parameters; the first adjustment display parameter total number is expressed; mean difference of predicted parameter deviation data within a future preset time period expressed as an ith first adjustment display parameter; an influence weight of the predicted change of the ith first adjustment display parameter on the performance display parameter adjustment; a display parameter data compensation factor expressed as a predicted performance; A coefficient of deviation denoted as the i-th first adjusted display parameter; a set deviation factor expressed as an ith first adjustment display parameter; expressed as a degree of deviation trim factor; Parameter adjustment values expressed as anomaly-analysis results; The second adjustment display parameter total number is expressed; an influence weight of the deviation degree of the j-th second adjustment display parameter on the performance display parameter adjustment is expressed; first parameter deviation data represented as a j-th second adjustment display parameter; Expressed as a loss factor for calculating the performance display parameter deviation.
Preferably, the color matrix optimization is realized by using an intelligent algorithm, and the optimized color matrix is deployed to a display device, including:
Constructing an image data set containing various color scenes, illumination conditions and target color expressions, and preprocessing to obtain a training data set;
Introducing a deep learning algorithm, and training the training data set to obtain a matrix generation model;
Inputting the image to be optimized of the display equipment at the current moment into the matrix generation model, and outputting a color conversion matrix;
The display equipment pre-applies the color conversion matrix through a pre-set preview function, and the color of the image to be optimally displayed is converted to obtain a preview image and is displayed in a set preview area;
The user evaluates the display effect of the preview image, and if satisfied, the color conversion matrix is deployed on a display device;
If not, regenerating a color conversion matrix according to a user preview feedback optimization matrix generation model.
Compared with the prior art, the application has the following beneficial effects:
Determining a target color mode according to the color requirement of a target user; and then, the display device is monitored and analyzed in real time to optimize the display performance of the display device in the current target color mode based on the display data generated by the target color mode display, so that the reliability of the display effect of the display device can be effectively enhanced, the display requirements of different application scenes can be met, and the user experience can be improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
An embodiment of the present invention provides a method for controlling an organic light emitting display system, as shown in fig. 1, including:
Step 1: the target user selects a target color mode according to the color requirement of the user, and when the color mode meeting the color requirement of the user does not exist, the color mode is customized;
step 2: the display data generated by the display equipment based on the target color mode display is monitored and analyzed in real time, and a performance analysis result is obtained;
Step 3: according to the performance analysis result, optimizing the display performance of the display device in the current target color mode specifically comprises the following steps:
Calculating to obtain a parameter adjustment value of a trend-analysis result and an anomaly-analysis result based on the performance analysis result;
Determining a trend-parameter adjustment level and an anomaly-parameter adjustment level by analyzing the trend-analysis result and the parameter adjustment value of the anomaly-analysis result;
and selecting corresponding performance adjustment means to perform performance optimization on the current display equipment according to the trend-parameter adjustment level and the abnormality-parameter adjustment level.
In this embodiment, the organic light emitting display system is an advanced flat panel display technology, which uses an organic material coating to generate a light emitting phenomenon under the action of an electric field to realize image display, and has advantages of self-luminescence, high contrast ratio, wide viewing angle, rapid response time, flexibility, and the like; the target user refers to a user applying the display device; the user color requirements include color parameter preference requirements, application scene requirements, wherein the color parameters include brightness, contrast, color temperature, saturation and the like, and the application scene comprises consumer electronics, automobile industry, aviation, aerospace and the like.
In this embodiment, the target color mode is selected according to the color requirements of the user, namely, the color parameter preference requirements and the application scene requirements; the display equipment comprises an intelligent collection and tablet personal computer, a television, a vehicle-mounted display screen, an intelligent watch and the like; the display data includes brightness, contrast, color temperature, saturation, etc.;
In this embodiment, the performance analysis results include a trend-analysis result obtained by predicting a performance variation trend within a future preset period of time of the display device, and an anomaly-analysis result obtained by analyzing a degree of deviation of a current display performance parameter of the display device; the parameter adjustment value is used to determine a trend-parameter adjustment level, an anomaly-parameter adjustment level.
In this embodiment, the trend-parameter adjustment level includes two kinds of normal adjustment, special adjustment; the anomaly-parameter adjustment level includes two types of normal adjustment, special adjustment; the performance adjustment means comprises that the display equipment adjusts display parameters and optimizes a color conversion matrix by controlling a driving circuit to implement adjustment display instructions, wherein the display parameters comprise resolution, brightness, contrast, color temperature, saturation and the like.
The beneficial effects of the technical scheme are as follows: determining a target color mode according to the color requirement of a target user; and then, the display device is monitored and analyzed in real time to optimize the display performance of the display device in the current target color mode based on the display data generated by the target color mode display, so that the reliability of the display effect of the display device can be effectively enhanced, the display requirements of different application scenes can be met, and the user experience can be improved.
The embodiment of the invention provides a control method of an organic light emitting display system, wherein a target user selects a target color mode according to the current user color requirement, and when a color mode meeting the user color requirement does not exist, the color mode is customized, and the control method comprises the following steps:
Matching color patterns from a color pattern list of the display device according to user color requirements of the target user;
if the matching is successful, setting the matched color mode as a target color mode by utilizing a color mode setting option of a user interface of the display equipment;
If the matching is unsuccessful, utilizing a color mode creation option of a user interface of the display device to create a color mode based on the user color requirement of the target user and adding the color mode into a color mode list;
The newly created color mode is set to the target color mode using a color mode setting option of a user interface of the display device.
In this embodiment, the user color requirements include color parameter preference requirements, application scene requirements, wherein the color parameters include hue, color depth, brightness, contrast, color temperature, saturation, contrast, brightness, and the like, and the application scene includes consumer electronics, automotive industry, aviation, aerospace, and the like.
In this embodiment, the display device includes an intelligent collection and tablet computer, a television, a vehicle-mounted display screen, an intelligent watch, and the like; the color pattern list is a list composed of preset color patterns; the color mode setting option is used for setting a color mode; the color mode new selection is used for customizing color parameters according to the user color requirement of a target user, and creating a color mode, wherein the color parameters comprise hue, color depth, brightness, contrast, color temperature, saturation, contrast, brightness and the like.
The beneficial effects of the technical scheme are as follows: the user color requirements of the target user are analyzed to select the target color mode or the custom color mode to lay a foundation for display of the display equipment, so that the requirements of different application scenes and color parameter display of the user can be met, and the visual experience of the user is further improved.
The embodiment of the invention provides a control method of an organic light emitting display system, which monitors and analyzes display data generated by display equipment based on target color mode display in real time to obtain a performance analysis result, and comprises the following steps:
Capturing first performance display parameter data displayed by the display device based on a target color mode in real time by using a preset data acquisition tool;
after the first performance display parameter data is subjected to data preprocessing, comparing and analyzing the data with a corresponding mode-display parameter reference value to obtain first performance parameter deviation data;
when the first performance parameter deviation data of all the performance display parameters are not larger than the set parameter deviation threshold, analyzing the performance change trend of the display equipment to obtain a first change analysis result;
Extracting a first adjustment display parameter from the first change analysis result, and generating a trend-analysis result by corresponding prediction parameter data, prediction parameter deviation data and deviation coefficients;
When the first performance parameter deviation data with single or multiple display parameters is larger than the set parameter deviation threshold, marking the corresponding performance display parameters as second adjustment display parameters;
Generating an anomaly-analysis result based on the first display parameter data of the second adjustment display parameter, the first parameter deviation data;
and outputting the trend-analysis result and the abnormality-analysis result as performance analysis results.
In this embodiment, the preset data acquisition tool is set in advance, and the user acquires display data of the display device; the display equipment comprises an intelligent collection and tablet personal computer, a television, a vehicle-mounted display screen, an intelligent watch and the like; the first performance display parameter data includes resolution, brightness, contrast, color temperature, saturation, etc.; data preprocessing refers to missing value complementation, normalization processing, and the like, and is used for ensuring the data quality.
In this embodiment, the mode-display parameter reference value refers to a standard value of the performance display parameter in the corresponding color mode; the first performance parameter deviation data is obtained by comparing the preprocessed first performance display parameter data with a corresponding mode-display parameter reference value in a difference mode; the parameter deviation threshold is set in advance.
In this embodiment, the first change analysis result is composed of predicted parameter data, a deviation coefficient and a parameter deviation predicted change map of the first adjustment display parameter and other display parameters, where the first adjustment display parameter is a performance display parameter with a deviation coefficient greater than a set deviation coefficient; the deviation coefficient is obtained by analyzing the deviation degree of the predictive performance display parameter data and the mode-display parameter reference value;
in this embodiment, the set deviation coefficient is set in advance; the performance display parameters include resolution, brightness, contrast, color temperature, saturation, and the like.
In this embodiment, the trend-analysis result is composed of the first adjustment display parameter, and the corresponding predicted parameter data, predicted parameter deviation data, and deviation coefficient; the second adjustment display parameter refers to a performance display parameter of which the first performance parameter deviation data is larger than a set parameter deviation threshold value; the anomaly analysis result is composed of first display parameter data of the second adjustment display parameter and first parameter deviation data.
The beneficial effects of the technical scheme are as follows: the display data can be monitored and analyzed in real time to find out possible performance deviation of the display equipment in the running process, and data support is provided for quick repair by taking corresponding measures, so that stable running and performance of the display equipment are ensured.
The embodiment of the invention provides a control method of an organic light emitting display system, which analyzes the performance change trend of display equipment to obtain a first change analysis result, and comprises the following steps:
Acquiring historical performance display parameter data of the display equipment in different color modes within a preset time period, and performing data preprocessing on the historical performance display parameter data to obtain historical display data;
extracting features of the historical display data to obtain key time features;
taking the key time characteristics and the historical display data as input parties, and introducing an autoregressive algorithm to construct a performance display prediction model;
Inputting the first performance display parameter data into the performance display prediction model to obtain prediction parameter data of the display equipment in a future preset time period;
calculating the difference value between the predicted parameter data and the corresponding mode-display parameter reference value to obtain predicted parameter deviation data;
Constructing and obtaining a parameter deviation prediction change map of each performance display parameter based on the prediction parameter deviation data;
Obtaining a deviation coefficient of a corresponding performance display parameter by extracting and combining with the key characteristics of the analysis parameter deviation prediction change diagram;
When the deviation coefficient of the single or multiple performance display parameters is larger than the set deviation coefficient, calibrating the corresponding performance display parameters as first adjustment display parameters;
And generating a first change analysis result based on all the first adjustment display parameters, the predicted parameter data of the rest display parameters, the deviation coefficient and the parameter deviation predicted change map.
In this embodiment, the preset time period is set in advance; the historical performance display parameter data refers to historical display parameter data in different color modes within a preset time period of the display equipment; the historical display data is obtained by carrying out data normalization processing, missing value complementation, data enhancement and the like on the historical performance display parameter data; the key time features are features obtained by extracting features of the historical display data, and the features comprise mean values, standard deviations and the like.
In the embodiment, the performance display prediction model is a model which is obtained by training and constructing key time characteristics and historical display data based on an autoregressive algorithm and is used for predicting the performance display data change of the display equipment in a future time period; the predicted parameter data is predicted data obtained by inputting the first performance display parameter data into a performance display prediction model; the predicted parameter deviation data is obtained by comparing the difference value between the predicted parameter data and the corresponding mode-display parameter reference value; the parameter deviation prediction change graph refers to a graph constructed by using predicted parameter deviation data; the key features refer to key characteristics of the parameter deviation prediction change map, such as curvature and extreme values.
In this embodiment, the deviation factor is used to characterize the degree of deviation of the predicted parameter over a future time period of the performance display parameter; the setting deviation coefficient is set in advance; the first adjustment display parameter refers to a performance display parameter with a deviation coefficient larger than a set deviation coefficient.
In this embodiment, for example, there are performance display parameters a1, a2, a3, where the deviation coefficient of the performance display parameters a1, a2 is larger than the set deviation coefficient, and the deviation coefficient of the performance display parameter a3 is equal to the set deviation coefficient, then the performance display parameters a1, a2 are calibrated as the first adjustment display parameters.
The beneficial effects of the technical scheme are as follows: the performance change trend of the display equipment can be determined in advance by constructing a performance display prediction model to predict the change condition of the performance display parameters in the future time period based on the historical display data of the display equipment, so that processing measures are taken in advance, and the display efficiency of the display equipment is ensured.
The embodiment of the invention provides a control method of an organic light emitting display system, which selects corresponding performance adjustment means to optimize the performance of the current display device according to the trend-parameter adjustment level and the abnormality-parameter adjustment level, and comprises the following steps:
When the trend-parameter adjustment level or the abnormal-parameter adjustment level is normal adjustment, respectively acquiring a set parameter adjustment strategy of the first adjustment display parameter and the second adjustment display parameter;
combining the predicted parameter data and the predicted parameter deviation data of the first adjustment display parameters with corresponding set parameter adjustment strategies to generate a first adjustment display instruction;
combining the first display parameter data and the first parameter deviation data of the second adjustment display parameters with corresponding setting parameter adjustment strategies to generate a second adjustment display instruction;
Based on the display equipment control driving circuit, implementing the first adjustment display instruction and the second adjustment display instruction;
When the trend-parameter adjustment level or the anomaly-parameter adjustment level is particularly adjusted, the intelligent algorithm is utilized to realize the optimization of the color conversion matrix, and the optimized color conversion matrix is deployed to the display equipment for color conversion.
In this embodiment, the trend-parameter adjustment level includes two kinds of normal adjustment, special adjustment; the anomaly-parameter adjustment level includes two types of normal adjustment, special adjustment; the setting parameter adjustment strategy is set in advance.
In this embodiment, the first adjustment display instruction is obtained by analyzing the combination of the predicted parameter data and the predicted parameter deviation data of the first adjustment display parameter and the corresponding set parameter adjustment policy; the second adjustment display instruction is obtained by analyzing the first display parameter data of the second adjustment display parameter, the first parameter deviation data and the corresponding setting parameter adjustment strategy, wherein the adjustment display instruction comprises adjustment of brightness level, refresh rate and the like.
In this embodiment, the color conversion matrix is used to convert an image from one color space (e.g., RGB) to another color space (e.g., YUV, HSV, etc.) by matrix operation to accommodate the display requirements of the display device.
The beneficial effects of the technical scheme are as follows: by adopting corresponding processing measures to optimize the display performance parameters of the display equipment according to the adjustment level obtained by analysis, the reliability of the display effect of the display equipment can be effectively enhanced, and the user experience is improved.
The embodiment of the invention provides a control method of an organic light emitting display system, wherein the calculation formulas of parameter adjustment values of trend-analysis results and anomaly-analysis results are as follows:
; in the method, in the process of the invention, Parameter adjustment values expressed as trend-analysis results; Expressed as the total number of performance display parameters; the first adjustment display parameter total number is expressed; mean difference of predicted parameter deviation data within a future preset time period expressed as an ith first adjustment display parameter; an influence weight of the predicted change of the ith first adjustment display parameter on the performance display parameter adjustment; a display parameter data compensation factor expressed as a predicted performance; A coefficient of deviation denoted as the i-th first adjusted display parameter; a set deviation factor expressed as an ith first adjustment display parameter; expressed as a degree of deviation trim factor; Parameter adjustment values expressed as anomaly-analysis results; The second adjustment display parameter total number is expressed; an influence weight of the deviation degree of the j-th second adjustment display parameter on the performance display parameter adjustment is expressed; first parameter deviation data represented as a j-th second adjustment display parameter; Expressed as a loss factor for calculating the performance display parameter deviation.
The beneficial effects of the technical scheme are as follows: the accurate identification of the adjustment level under the condition of the trend-analysis result and the anomaly-analysis result display analysis can be realized by calculating the parameter adjustment value, and a foundation is laid for obtaining accurate processing measures to optimize the display equipment.
The embodiment of the invention provides a control method of an organic light emitting display system, which utilizes an intelligent algorithm to realize color matrix optimization, and deploys the optimized color matrix to display equipment, and comprises the following steps:
Constructing an image data set containing various color scenes, illumination conditions and target color expressions, and preprocessing to obtain a training data set;
Introducing a deep learning algorithm, and training the training data set to obtain a matrix generation model;
Inputting the image to be optimized of the display equipment at the current moment into the matrix generation model, and outputting a color conversion matrix;
The display equipment pre-applies the color conversion matrix through a pre-set preview function, and the color of the image to be optimally displayed is converted to obtain a preview image and is displayed in a set preview area;
The user evaluates the display effect of the preview image, and if satisfied, the color conversion matrix is deployed on a display device;
If not, regenerating a color conversion matrix according to a user preview feedback optimization matrix generation model.
In this embodiment, the color scene refers to a visual environment or space constructed by the application of colors; the target color performance is the performance of light, shadow, color collocation and the like determined based on the color scene; the training data set is a data set obtained by performing data enhancement processing on the image data set, wherein the data enhancement includes rotation, scaling, color transformation, and the like.
In the embodiment, the matrix generation model is a model obtained by training and constructing a training data set based on a deep learning algorithm and is used for generating a color conversion matrix; the display image to be optimized is a display image which is required to be adjusted when the display data of the display device at the current moment deviates from the reference value; the color conversion matrix converts an image from one color space (e.g., RGB) to another color space (e.g., YUV, HSV, etc.) through matrix operations to accommodate display requirements of the display device.
In this embodiment, the preset preview function is preset, and is used for pre-applying the color conversion matrix to the real-time preview display device, so as to optimize the color conversion effect of the color conversion of the displayed image; the set preview area is a preset area for displaying a preview effect.
The beneficial effects of the technical scheme are as follows: the color conversion matrix is generated by utilizing the intelligent algorithm, and is deployed to the display device after being optimized by analyzing the color conversion effect displayed by utilizing the preset preview function of the display device, so that the real color reproduction can be effectively ensured, the color distortion can be reduced, the color expressive force and accuracy can be improved, the user experience can be improved, and the color consistency between different devices can be ensured.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.