OLED display screen brightness intelligent control system and method based on big data

Abstract

The application relates to the technical field of display screen brightness adjustment, and discloses an OLED display screen brightness intelligent control system and method based on big data, which comprises an OLED display screen brightness database establishment module, an OLED display screen brightness adjustment module and an OLED display screen brightness feedback module; according to the current OLED display screen environment brightness parameters, the intelligent search algorithm and the environment OLED display screen brightness adjustment relationship database are combined to intelligently match the current OLED display screen brightness adjustment parameters, the OLED display screen brightness parameters are intelligently and efficiently matched based on the working conditions of the OLED display screen, the OLED display screen brightness is accurately adjusted, the user acceptance result of the current OLED display screen brightness adjustment is accurately and scientifically analyzed by combining the image analysis with the dynamic image parameters of the user eye pupil brightness feedback state image obtained by the front camera of the display screen, the user acceptance result of the current OLED display screen brightness adjustment is scientifically and dynamically evaluated, and the scientificity and the intelligentization of the OLED display screen brightness adjustment are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of display screen brightness adjustment, in particular to an OLED display screen brightness intelligent control system and method based on big data. BACKGROUND

[0002] Brightness refers to the physical quantity of the light intensity of the surface of a luminous object, which is denoted by L in physics and has a unit of candela per square meter or nits. Brightness is an important indicator for measuring the light intensity of a display screen. For a display screen, high brightness also means higher anti-interference capability for its working environment. The principle of OLED display screen brightness adjustment is achieved by controlling the light intensity of each pixel point. In an OLED display screen, each pixel point is composed of three kinds of organic light-emitting materials, red, green and blue, each of which has different light intensity. By adjusting the light intensity of each pixel point, the brightness of the entire OLED display screen can be changed. The OLED display screen brightness adjustment method is usually based on the ambient light brightness parameter for autonomous adjustment. However, the existing OLED display screen brightness adjustment cannot establish an environment-OLED display screen brightness adjustment relationship database based on the intelligent use environment of the OLED display screen, nor can it accurately judge the user acceptance result of the OLED display screen brightness adjustment result, reducing the safety and reliability of the OLED display screen brightness adjustment.

[0003] Chinese patent CN105185301B discloses a display screen brightness adjustment method, which periodically detects the current ambient light brightness, autonomously analyzes and updates the maximum or minimum value of the ambient light, and generates a plurality of ambient light segments using the maximum and minimum values of the ambient light after updating the maximum or minimum value of the ambient light to update the ambient light and display screen brightness corresponding relationship table, to obtain a display screen brightness adjustment target value to accurately control the brightness of the display screen. However, the above display screen brightness adjustment scheme does not consider the user's acceptance result judgment for the display screen brightness adjustment result, reducing the applicability of the display screen brightness. SUMMARY

[0004] (I) Technical problems solved

[0005] To solve the above-mentioned existing OLED display screen brightness adjustment cannot be based on the environment of OLED display screen intelligent establishment environment-OLED display screen brightness adjustment relationship database, also can't on the OLED display screen brightness adjustment result carries out the user acceptance result accurate judgment processing, reduces the safety and reliability of OLED display screen brightness adjustment problem, realizes above accurate collection OLED display screen working period environment brightness data, scientific establishment environment OLED display screen brightness adjustment relationship database, accurate collection current OLED display screen environment brightness data, accurate matching current OLED display screen brightness adjustment data, scientific search current OLED display screen brightness adjustment instruction, autonomous execution current OLED display screen brightness adjustment operation, dynamic collection user eye pupil brightness reaction state image parameter, intelligent judgment current OLED display screen brightness adjustment user acceptance result, accurate execution current OLED display screen brightness feedback regulation operation.

[0006] (II) Technical scheme

[0007] The present application is realized by the following technical scheme: based on big data OLED display screen brightness intelligent control method, the method comprises the following steps:

[0008] S1, collection OLED display screen working period environment brightness data;

[0009] S2, according to the OLED display screen working period environment brightness data and environment OLED display screen standard brightness adjustment data carries out OLED display screen and the use environment between brightness adjustment relationship database establishment processing, generates environment OLED display screen brightness adjustment relationship database;

[0010] S3, collection current OLED display screen environment brightness data;

[0011] S4, according to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjustment relationship database carries out the brightness adjustment parameter matching processing of current OLED display screen, generates current OLED display screen brightness adjustment data;

[0012] S5, according to the current OLED display screen brightness adjustment data and OLED display screen brightness adjustment instruction data carries out current OLED display screen brightness adjustment instruction search processing, generates current OLED display screen brightness adjustment instruction data and executes current OLED display screen brightness adjustment operation;

[0013] S6. Collect the user's pupil brightness feedback state image data and perform a judgment process on the user's acceptance of the current OLED display brightness adjustment result, generating judgment data on the user's acceptance of the current OLED display brightness adjustment result; if the result is acceptance, directly end the current OLED display brightness adjustment operation;

[0014] S7. When the response is rejected, repeat steps S3, S4, S5, and S6 to perform the current OLED display brightness feedback adjustment operation.

[0015] Preferably, the steps for collecting the ambient brightness data of the OLED display screen during its working cycle are as follows:

[0016] S11, collect the brightness change parameters of the target OLED display screen in the normal unit working time cycle through the brightness sensor online, and generate the OLED display screen working cycle environment brightness data set A = (a1, ..., a m ,…,a ε ), m=1,2,3,…,ε; where a m represents the collected m-th OLED display working cycle ambient brightness data, ε represents the maximum number of collected OLED display working cycle ambient brightness parameter types, a m The unit is nit.

[0017] The present invention obtains the brightness parameters of the working cycle environment of the OLED display screen online through a brightness sensor, thereby providing reliable data support for accurately establishing a brightness adjustment relationship database between the OLED display screen and the usage environment.

[0018] Preferably, a brightness adjustment relationship database between the OLED display and the use environment is established based on the OLED display working cycle environment brightness data and the environment OLED display standard brightness adjustment data. The operation steps for generating the environment OLED display brightness adjustment relationship database are as follows:

[0019] S21, establish the standard brightness adjustment data set B of the environmental OLED display screen = (b1,…,b n ,…,b φ ), n=1,2,3,…,φ; where b n represents the standard brightness adjustment data of the ambient OLED display corresponding to the nth ambient brightness parameter, φ represents the maximum number of ambient brightness parameter types; the standard brightness adjustment data of the ambient OLED display represents the optimal OLED display brightness adjustment parameters set for different types of ambient brightness parameters; b n The unit is nit;

[0020] S22, the OLED display screen working period environment brightness data a in the OLED display screen working period environment brightness data set A is searched m According to the OLED display screen working period environment brightness parameter type number order and the environment OLED display screen standard brightness adjustment data b in the environment OLED display screen standard brightness adjustment data set B n The environment brightness value matching is carried out, and the OLED display screen working period environment brightness data a is searched out m The corresponding environment OLED display screen standard brightness adjustment data b n And generate the environment OLED display screen brightness adjustment relationship database A' through data identification; the specific operation steps of generating the environment OLED display screen brightness adjustment relationship database A' are as follows:

[0021] S221, the environment OLED display screen standard brightness adjustment data b is set n The current solution is T=T0, that is, the initial temperature T0 of starting annealing is set in the environment OLED display screen standard brightness adjustment data set B search space, and an initial solution P is randomly generated r That is, the OLED display screen working period environment brightness data a is randomly searched in the environment OLED display screen standard brightness adjustment data set B search space m The corresponding environment OLED display screen standard brightness adjustment data b is searched n And the objective function value G(P r ) of the initial solution is calculated;

[0022] S222, the environment OLED display screen standard brightness adjustment data b is generated n The difference between the new solution and the environment OLED display screen standard brightness adjustment data b n The current solution is calculated according to the environment OLED display screen standard brightness adjustment data b n The current solution P i Is disturbed, and the OLED display screen working period environment brightness data a is generated m An environment OLED display screen standard brightness adjustment data b n New solution P j , the objective function value G(P i ) of the current solution and the objective function value G(P j ) of the new solution are calculated, and the objective function change amount ΔG=G(P j )-G(P i ) is obtained;

[0023] S223, the environment OLED display screen standard brightness adjustment data b is judged nWhether the new solution is accepted, if the objective function change ΔG < 0, then the standard brightness adjustment data b of the environmental OLED display screen n New solution P j Accepted; if the objective function variation ΔG ≥ 0, then the standard brightness adjustment data b of the ambient OLED display screen n New solution P j Accepted with the following probability, T i represents the current temperature; the probability formula is Where T i represents the current temperature, and exp represents a random function with a value range of (0, 1);

[0024] S224, when the standard brightness adjustment data b of the ambient OLED display screen is n When the new solution is accepted, the ambient OLED display standard brightness adjustment data b n New solution P j is regarded as the standard brightness adjustment data of the ambient OLED display b n Current solution;

[0025] S225, loop through steps S221 to S224, and at a temperature T i Under these conditions, the perturbation and acceptance process is repeated three times, and then the next step is performed;

[0026] S226. Finally find the global optimal solution: determine whether T has reached the termination temperature T zui If so, the algorithm is terminated and the output is the ambient brightness data a of the OLED display working cycle. m The most matching environment OLED display standard brightness adjustment data b n If not, go to loop step S225 and continue executing;

[0027] S227, the standard brightness adjustment data b of the environmental OLED display output in step S226 n After data identification, the environmental OLED display brightness adjustment relation database A'=(a'1,…,a' m ,…,a' ε ), where a' m Indicates the ambient brightness data a of the OLED display screen during its working cycle m The corresponding environmental OLED display brightness adjustment relationship data; a′ m The unit is nit.

[0028] The application dynamically and accurately establishes the brightness adjustment relationship database between the OLED display screen and the use environment by combining the OLED display screen working cycle environment brightness parameter with the environment OLED display screen standard brightness adjustment parameter set by the artificial intelligence annealing optimization algorithm and the standard, so that the OLED display screen and the use environment are intelligently and point-to-point established based on the OLED display screen use working condition, and the brightness adjustment database between the OLED display screen and the use environment is established.

[0029] Preferably, the operation steps of collecting the current OLED display screen environment brightness data are as follows:

[0030] S31, the current brightness parameter of the use environment of the target OLED display screen is collected online by the brightness sensor, and the current OLED display screen environment brightness data J is generated, wherein the unit of J is nit.

[0031] The application dynamically collects the current OLED display screen environment brightness parameter by the brightness sensor, so as to provide real data support for real-time dynamic adjustment of the OLED display screen brightness.

[0032] Preferably, the operation steps of matching the brightness adjustment parameter of the current OLED display screen according to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjustment relationship database to generate the current OLED display screen brightness adjustment data are as follows:

[0033] S41, the current OLED display screen environment brightness data J is matched with the environment OLED display screen brightness adjustment relationship data a' in the environment OLED display screen brightness adjustment relationship database A' by using a bidirectional search algorithm. m The environment brightness parameter is matched, and the environment OLED display screen brightness adjustment relationship data a' corresponding to the current OLED display screen environment brightness data J is searched out. m And the current OLED display screen brightness adjustment data J' is constructed. Among them The unit of J' is nit.

[0034] The application intelligently matches the current OLED display screen brightness adjustment parameter according to the current OLED display screen environment brightness parameter, the bidirectional search algorithm and the environment OLED display screen brightness adjustment relationship database, so as to intelligently and efficiently match the OLED display screen brightness parameter based on the OLED display screen use working condition.

[0035] Preferably, the operation steps of searching the current OLED display screen brightness adjustment instruction according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data to generate the current OLED display screen brightness adjustment instruction data and execute the current OLED display screen brightness adjustment operation are as follows:

[0036] S51, establish OLED display screen brightness adjustment instruction data set Wherein c o represents the OLED display screen brightness adjustment instruction data corresponding to the OLED display screen brightness adjustment parameter of the oth, represents the maximum value of the OLED display screen brightness adjustment parameter type quantity; the OLED display screen brightness adjustment instruction data represents the OLED display screen brightness adjustment execution program instruction parameter set for different types of OLED display screen brightness adjustment parameters, c o The unit of c

[0037] S52, using the breadth-first search algorithm to search the current OLED display screen brightness adjustment data with the OLED display screen brightness adjustment instruction data c o of the OLED display screen brightness adjustment instruction data set C, and search out the OLED display screen brightness adjustment data corresponding to the OLED display screen brightness adjustment instruction data c o of the current OLED display screen brightness adjustment instruction data Wherein The unit of c

[0038] S53, the display screen brightness control end executes the current OLED display screen brightness adjustment operation according to the current OLED display screen brightness adjustment instruction data .

[0039] The present application accurately matches the current OLED display screen brightness adjustment instruction by combining the current OLED display screen brightness adjustment parameter with the breadth-first search algorithm and the scientifically preset OLED display screen brightness adjustment instruction parameter, and accurately executes the OLED display screen brightness adjustment operation by combining the display screen brightness control end, so as to achieve the effect of efficient and accurate OLED display screen brightness adjustment.

[0040] Preferably, the collection of user eye pupil brightness feedback state image data and the judgment of the acceptance result of the current OLED display screen brightness adjustment result in the user end are processed to generate the current OLED display screen brightness adjustment user acceptance result judgment data; when it is accepted, the operation steps of the current OLED display screen brightness adjustment operation are as follows:

[0041] S61, when the current OLED display screen brightness adjustment operation is completed, the front camera of the display screen is used to collect the pupil size scaling reaction image information of the user's eyes of the OLED display screen in response to the current OLED display screen brightness adjustment state and the OLED display screen environment brightness state, and generate a user's eye pupil brightness feedback state image data set D=(d1,…,d k ,…,d η ), k=1, 2, 3,…, η; wherein d k represents the kth user's eye pupil brightness feedback state image data collected, and η represents the maximum value of the number of user's eye pupil brightness feedback state images collected; the pupil size scaling reaction image represents the pupil contraction action and the pupil dilation action made by the user's eye pupil in response to the synchronous adaptation of the OLED display screen brightness adjustment state and the OLED display screen environment brightness state, the pupil dilation action represents that when the brightness of the target observed by the eye is weakened, the light entering the eye is increased by pupil dilation to clearly observe the target, and the pupil contraction action represents that when the brightness of the target observed by the eye is enhanced, the light entering the eye is reduced by pupil contraction to clearly observe the target;

[0042] S62, the SURF algorithm is used to perform image feature matching on the user's eye pupil brightness feedback state image data d k in the user's eye pupil brightness feedback state image data set D according to the user's eye pupil brightness feedback state image number order and the rest of the user's eye pupil brightness feedback state image data d k , and the current OLED display screen brightness adjustment user acceptance result judgment data h is generated according to the image feature matching result;

[0043] When d k and all the rest of d k perform image feature matching successfully, at this time the user's eye pupil scaling reaction is in a stable state, indicating that the current OLED display screen brightness adjustment state is consistent with the OLED display screen environment brightness state, and the user's eye accepts the current OLED display screen brightness adjustment result, and the current OLED display screen brightness adjustment user acceptance result judgment data h is output as accepted, and at this time the OLED display screen brightness adjustment operation is directly ended;

[0044] When d k and all the rest of d k perform image feature matching unsuccessfully, at this time the user's eye pupil scaling reaction is in a changing state, indicating that the current OLED display screen brightness adjustment state is inconsistent with the OLED display screen environment brightness state, and the user's eye does not accept the current OLED display screen brightness adjustment result, and the current OLED display screen brightness adjustment user acceptance result judgment data h is output as not accepted.

[0045] The application displays the screen front camera dynamic acquisition user eye pupil brightness feedback state image parameters and combines image analysis to accurately and scientifically analyze the current OLED display screen brightness adjustment user acceptance result, so as to achieve the effect of scientifically and dynamically evaluating the current OLED display screen brightness adjustment user acceptance result.

[0046] Preferably, when the current OLED display screen brightness adjustment user acceptance result is not accepted, the operation steps of repeating steps S3, S4, S5 and S6 to perform the current OLED display screen brightness feedback adjustment operation are as follows:

[0047] S71, when the current OLED display screen brightness adjustment user acceptance result judgment data h is not accepted, repeating steps S31, S41, S51, S52, S53, S61 and S62 to perform the current OLED display screen brightness feedback adjustment operation.

[0048] The application performs the current OLED display screen brightness feedback adjustment operation based on the current OLED display screen brightness adjustment user acceptance result, so as to achieve the effect of improving the functional diversity and applicability of OLED display screen brightness adjustment.

[0049] The OLED display screen brightness intelligent control system based on big data is used for realizing the OLED display screen brightness intelligent control method based on big data, and the system comprises an OLED display screen brightness database establishment module, an OLED display screen brightness adjustment module and an OLED display screen brightness feedback module.

[0050] The OLED display screen brightness database establishment module comprises an OLED display screen working cycle environment brightness collection unit, an environment OLED display screen standard brightness adjustment parameter storage unit and an environment OLED display screen brightness adjustment relationship database generation unit.

[0051] The OLED display screen working cycle environment brightness collection unit collects OLED display screen working cycle environment brightness data through a brightness sensor; the environment OLED display screen standard brightness adjustment parameter storage unit is used for storing environment OLED display screen standard brightness adjustment data; and the environment OLED display screen brightness adjustment relationship database generation unit performs OLED display screen and use environment brightness adjustment relationship database establishment processing according to the OLED display screen working cycle environment brightness data and the environment OLED display screen standard brightness adjustment data, and generates an environment OLED display screen brightness adjustment relationship database.

[0052] The OLED display screen brightness adjusting module comprises a current OLED display screen environment brightness parameter acquisition unit, a current OLED display screen brightness adjusting parameter matching unit, an OLED display screen brightness adjusting instruction parameter storage unit, a current OLED display screen brightness adjusting instruction searching unit and a current OLED display screen brightness adjusting operation execution unit.

[0053] The current OLED display screen environment brightness parameter acquisition unit collects current OLED display screen environment brightness data through a brightness sensor. The current OLED display screen brightness adjusting parameter matching unit performs brightness adjusting parameter matching processing on the current OLED display screen according to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjusting relationship database, and generates current OLED display screen brightness adjusting data. The OLED display screen brightness adjusting instruction parameter storage unit is used for storing OLED display screen brightness adjusting instruction data. The current OLED display screen brightness adjusting instruction searching unit performs current OLED display screen brightness adjusting instruction searching processing according to the current OLED display screen brightness adjusting data and the OLED display screen brightness adjusting instruction data, and generates current OLED display screen brightness adjusting instruction data. The current OLED display screen brightness adjusting operation execution unit performs current OLED display screen brightness adjusting operation according to the current OLED display screen brightness adjusting instruction data.

[0054] The OLED display screen brightness feedback module comprises a user eye pupil brightness reaction state image acquisition unit, a current OLED display screen brightness adjusting user acceptance result judging unit and a current OLED display screen brightness feedback adjusting operation execution unit.

[0055] The user eye pupil brightness reaction state image acquisition unit collects user eye pupil brightness feedback state image data through a display screen front camera. The current OLED display screen brightness adjusting user acceptance result judging unit is used for performing current OLED display screen brightness adjusting result acceptance result judging processing on the user end according to the user eye pupil brightness feedback state image data, and generates current OLED display screen brightness adjusting user acceptance result judging data. The current OLED display screen brightness feedback adjusting operation execution unit is used for performing current OLED display screen brightness feedback adjusting operation.

[0056] (Three) Beneficial Effects

[0057] The present application provides an OLED display screen brightness intelligent control system and method based on big data.

[0058] I. Through the brightness sensor, the working period environment brightness parameters of the OLED display screen are acquired online to realize scientific and complete collection of the working period environment brightness information of the OLED display screen, to provide reliable data support for accurately establishing the brightness adjustment relationship database between the OLED display screen and the use environment; according to the working period environment brightness parameters of the OLED display screen, the intelligent recognition algorithm and the standard setting of the standard brightness adjustment parameters of the environment OLED display screen are combined to dynamically and accurately establish the brightness adjustment relationship database between the OLED display screen and the use environment, to realize the point-to-point intelligent establishment of the brightness adjustment database between the OLED display screen and the use environment based on the working condition of the OLED display screen, and to improve the accuracy of the brightness adjustment of the OLED display screen.

[0059] II. Through the brightness sensor, the current OLED display screen environment brightness parameters are dynamically collected to provide real data support for real-time dynamic adjustment of the OLED display screen brightness; according to the current OLED display screen environment brightness parameters, the intelligent search algorithm and the environment OLED display screen brightness adjustment relationship database are combined to intelligently match the current OLED display screen brightness adjustment parameters, to realize intelligent and efficient matching of the OLED display screen brightness parameters based on the working condition of the OLED display screen; according to the current OLED display screen brightness adjustment parameters, the intelligent search algorithm and the scientifically preset OLED display screen brightness adjustment instruction parameters are combined to accurately match the current OLED display screen brightness adjustment instruction, and the OLED display screen brightness control end is combined to accurately perform the OLED display screen brightness adjustment work, to realize efficient and accurate adjustment of the OLED display screen brightness, and to improve the OLED display screen brightness adjustment effect.

[0060] III. Through the display screen front camera, the user eye pupil brightness feedback state image parameters are dynamically acquired, and the current OLED display screen brightness adjustment user acceptance result is accurately and scientifically analyzed by combining image analysis, to realize scientific and dynamic evaluation of the current OLED display screen brightness adjustment user acceptance result, to realize intelligent monitoring of the feedback information of the user on the OLED display screen brightness adjustment result; to improve the scientific nature and intelligence of the OLED display screen brightness adjustment; based on the current OLED display screen brightness adjustment user acceptance result, the current OLED display screen brightness feedback adjustment work is autonomously and reliably performed, to improve the functional diversity and applicability of the OLED display screen brightness adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0061] Figure 1 The module schematic diagram of the OLED display screen brightness intelligent control system based on big data provided by the present application;

[0062] Figure 2 The flowchart of the OLED display screen brightness intelligent control method based on big data provided by the present application. DETAILED DESCRIPTION

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0064] The embodiments of the intelligent control system and method for OLED display brightness based on big data are as follows:

[0065] Example 1:

[0066] See also Figure 1 - Figure 2 , an intelligent control method for brightness of an OLED display screen based on big data, the method comprises the following steps:

[0067] S1. Collect the ambient brightness data of the OLED display during its working period;

[0068] S2. Establishing a brightness adjustment relationship database between the OLED display and the usage environment based on the ambient brightness data of the OLED display during its working cycle and the standard brightness adjustment data of the ambient OLED display, thereby generating an ambient OLED display brightness adjustment relationship database;

[0069] S3, collect current OLED display screen ambient brightness data;

[0070] S4, performing a matching process on the brightness adjustment parameters of the current OLED display screen according to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjustment relationship database to generate the current OLED display screen brightness adjustment data;

[0071] S5, performing a current OLED display brightness adjustment instruction search process based on the current OLED display brightness adjustment data and the OLED display brightness adjustment instruction data, generating the current OLED display brightness adjustment instruction data and executing the current OLED display brightness adjustment operation;

[0072] S6. Collect the user's pupil brightness feedback state image data and perform a judgment process on the user's acceptance of the current OLED display brightness adjustment result, generating judgment data on the user's acceptance of the current OLED display brightness adjustment result; if the result is acceptance, directly end the current OLED display brightness adjustment operation;

[0073] S7. When the response is rejected, repeat steps S3, S4, S5, and S6 to perform the current OLED display brightness feedback adjustment operation.

[0074] For further information, see Figure 1 -Figure 2 The operation steps of collecting the OLED display screen working period environment brightness data are as follows:

[0075] S11, collecting the brightness change parameters of the target OLED display screen in the use environment in a normal unit working time period through the brightness sensor, and generating an OLED display screen working period environment brightness data set A=(a1,…,a m ,…,a ε ), m=1, 2, 3,…, ε; wherein a m represents the mth OLED display screen working period environment brightness data collected, ε represents the maximum value of the number of OLED display screen working period environment brightness parameter types collected, and a m is in units of nits.

[0076] The operation steps of establishing the brightness adjustment relationship database between the OLED display screen and the use environment according to the OLED display screen working period environment brightness data and the environment OLED display screen standard brightness adjustment data are as follows:

[0077] S21, establishing an environment OLED display screen standard brightness adjustment data set B=(b1,…,b n ,…,b φ ), n=1, 2, 3,…, φ; wherein b n represents the environment OLED display screen standard brightness adjustment data corresponding to the nth environment brightness parameter, and φ represents the maximum value of the number of environment brightness parameters; the environment OLED display screen standard brightness adjustment data represents the optimal OLED display screen brightness adjustment parameter set for different types of environment brightness parameters; and b n is in units of nits.

[0078] S22, matching the OLED display screen working period environment brightness data a m in the OLED display screen working period environment brightness data set A with the environment OLED display screen standard brightness adjustment data b n in the environment OLED display screen standard brightness adjustment data set B according to the OLED display screen working period environment brightness parameter type number order, searching out the corresponding environment OLED display screen standard brightness adjustment data b m of the OLED display screen working period environment brightness data a n , and generating an environment OLED display screen brightness adjustment relationship database A' through data identification; the specific operation steps of generating the environment OLED display screen brightness adjustment relationship database A' are as follows:

[0079] S221, set the ambient OLED display standard brightness adjustment data b n For the current solution, let T = T0, that is, set the initial temperature T0 of the start of annealing in the ambient OLED display standard brightness adjustment data set B search space, randomly generate an initial solution P r That is, randomly in the ambient OLED display standard brightness adjustment data set B search space for OLED display screen working period ambient brightness data a m Search for the corresponding ambient OLED display standard brightness adjustment data b n And calculate the objective function value G(P r ) of the initial solution;

[0080] S222, produce ambient OLED display standard brightness adjustment data b n The difference between the new solution and the ambient OLED display standard brightness adjustment data b n The current solution, according to the ambient OLED display standard brightness adjustment data b n The current solution P i is disturbed, and an ambient OLED display standard brightness adjustment data b m A new solution P n is generated, and the objective function value G(P j ) of the current solution and the objective function value G(P i ) of the new solution are calculated, and the objective function change ΔG = G(P j )-G(P j ) is obtained. i

[0081] S223, judge whether the ambient OLED display standard brightness adjustment data b n New solution is accepted, if the objective function change ΔG < 0, then the ambient OLED display standard brightness adjustment data b n New solution P j Is accepted; if the objective function change ΔG ≥ 0, then the ambient OLED display standard brightness adjustment data b n New solution P j According to the following probability, T i Indicates the current temperature; the probability formula is Where T i Indicates the current temperature, and exp indicates a random function with a value range of (0, 1).

[0082] S224, when the ambient OLED display standard brightness adjustment data b n New solution is accepted, the ambient OLED display standard brightness adjustment data b n New solution P j ​Be regarded as the standard brightness adjustment data of the ambient OLED display b n Current solution;

[0083] S225, loop through steps S221 to S224, and at a temperature T i Under these conditions, the perturbation and acceptance process is repeated three times, and then the next step is performed;

[0084] S226. Finally find the global optimal solution: determine whether T has reached the termination temperature T zui If so, the algorithm is terminated and the output is the ambient brightness data a corresponding to the working cycle of the OLED display. m The most matching environment OLED display standard brightness adjustment data b n If not, go to loop step S225 and continue executing;

[0085] S227, the ambient OLED display screen standard brightness adjustment data b output in step S226 n After data identification, the environmental OLED display brightness adjustment relation database A'=(a'1,…,a' m ,…,a' ε ), where a' m Indicates the ambient brightness data of the OLED display during its working cycle a m Corresponding ambient OLED display brightness adjustment relationship data; a′ m The unit is nit.

[0086] Through the OLED display working cycle environment brightness acquisition unit, a brightness sensor is used to obtain the OLED display working cycle environment brightness parameters online, so as to realize scientific and complete collection of the OLED display working cycle use environment brightness information, and provide reliable data support for accurately establishing the brightness adjustment relationship database between the OLED display and the use environment; the environment OLED display brightness adjustment relationship database generation unit dynamically and accurately establishes the brightness adjustment relationship database between the OLED display and the use environment based on the OLED display working cycle environment brightness parameters combined with the intelligent recognition algorithm and the standard set environment OLED display standard brightness adjustment parameters, realizes point-to-point intelligent establishment of the brightness adjustment database between the OLED display and the use environment based on the OLED display use conditions, and improves the accuracy of OLED display brightness adjustment.

[0087] For further information, see Figure 1 - Figure 2 The steps to collect the current OLED display screen ambient brightness data are as follows:

[0088] S31. Collect the current brightness parameters of the target OLED display screen's usage environment online through a brightness sensor, and generate current OLED display screen environment brightness data J, where the unit of J is nits.

[0089] The steps for matching the brightness adjustment parameters of the current OLED display screen according to the current OLED display screen ambient brightness data and the ambient OLED display screen brightness adjustment relationship database to generate the current OLED display screen brightness adjustment data are as follows:

[0090] S41, using a bidirectional search algorithm to compare the current OLED display screen environment brightness data J with the environment OLED display screen brightness adjustment relationship data a' in the environment OLED display screen brightness adjustment relationship database A'. m Perform ambient brightness parameter matching to search for the ambient OLED display brightness adjustment relationship data a′ corresponding to the current OLED display ambient brightness data J m , and construct the current OLED display brightness adjustment data in The unit is nit.

[0091] The steps for searching and processing the current OLED display brightness adjustment instruction according to the current OLED display brightness adjustment data and the OLED display brightness adjustment instruction data, generating the current OLED display brightness adjustment instruction data and executing the current OLED display brightness adjustment operation are as follows:

[0092] S51. Establishing OLED display brightness adjustment instruction data set where c o Indicates the OLED display brightness adjustment instruction data corresponding to the oth OLED display brightness adjustment parameter, Indicates the maximum number of OLED display brightness adjustment parameter types; OLED display brightness adjustment instruction data indicates the OLED display brightness adjustment execution program instruction parameters for different types of OLED display brightness adjustment parameter settings, c o The unit is nit;

[0093] S52, using the width-first search algorithm to adjust the current OLED display brightness data and the OLED display brightness adjustment instruction data c in the OLED display brightness adjustment instruction data set C o Match the brightness adjustment parameters of the OLED display and search for the current brightness adjustment data of the OLED display Corresponding OLED display brightness adjustment instruction data c o , and construct the current OLED display brightness adjustment instruction data wherein is measured in nits;

[0094] S53, the display screen brightness control end adjusts the current OLED display screen brightness according to the current OLED display screen brightness adjustment instruction data executes the current OLED display screen brightness adjustment operation.

[0095] The current OLED display screen environment brightness parameter acquisition unit dynamically acquires the current OLED display screen environment brightness parameter using a brightness sensor, providing real data support for real-time dynamic adjustment of the OLED display screen brightness. The current OLED display screen brightness adjustment parameter matching unit intelligently matches the current OLED display screen brightness adjustment parameter according to the current OLED display screen environment brightness parameter, the intelligent search algorithm, and the environment OLED display screen brightness adjustment relationship database, achieving intelligent and efficient matching of the OLED display screen brightness parameter based on the OLED display screen use condition. The current OLED display screen brightness adjustment instruction search unit and the current OLED display screen brightness adjustment operation execution unit cooperate with each other to accurately match the current OLED display screen brightness adjustment instruction according to the current OLED display screen brightness adjustment parameter, the intelligent search algorithm, and the scientifically preset OLED display screen brightness adjustment instruction parameter, and to accurately execute the OLED display screen brightness adjustment operation in combination with the display screen brightness control end, achieving efficient and accurate adjustment of the OLED display screen brightness and improving the OLED display screen brightness adjustment effect.

[0096] Further, please refer to Figure 1 - Figure 2 collects user eye pupil brightness feedback state image data and processes the acceptance result of the current OLED display screen brightness adjustment result at the user end to generate current OLED display screen brightness adjustment user acceptance result judgment data. When accepted, the operation steps of the current OLED display screen brightness adjustment operation are as follows:

[0097] S61, when the current OLED display screen brightness adjustment operation is completed, the OLED display screen front camera is used to collect the pupil size scaling reaction image information of the user's eye pupil in response to the current OLED display screen brightness adjustment state and the OLED display screen use environment brightness state, and to generate a user eye pupil brightness feedback state image data set D = (d k ,…,d η ), k = 1, 2, 3, …, η; wherein d krepresents the kth collected user eye pupil luminance feedback state image data, and represents the maximum value of the number of collected user eye pupil luminance feedback state images; the pupil size scaling reaction image represents image information of the pupil contraction action and the pupil dilation action made by the user eye pupil in response to the synchronous adaptation of the OLED display screen adjusted luminance state and the OLED display screen use environment luminance state, the pupil dilation action represents that when the luminance of the observed target by the eye is weakened, the light entering the eye is increased through the pupil dilation mode to clearly observe the target, and the pupil contraction action represents that when the luminance of the observed target by the eye is enhanced, the light entering the eye is reduced through the pupil contraction mode to clearly observe the target;

[0098] S62, using the SURF algorithm to match the user eye pupil luminance feedback state image data d in the user eye pupil luminance feedback state image data set D k According to the user eye pupil luminance feedback state image number order and the rest of the user eye pupil luminance feedback state image data d k Image feature matching is performed, and current OLED display screen luminance adjustment user acceptance result judgment data h is generated according to the image feature matching result;

[0099] When d k and all the rest of d k Image feature matching is performed, and current OLED display screen luminance adjustment user acceptance result judgment data h is generated according to the image feature matching result;

[0100] When d k and all the rest of d k Image feature matching is performed, and current OLED display screen luminance adjustment user acceptance result judgment data h is generated according to the image feature matching result;

[0101] When it is not accepted, the operation steps of the current OLED display screen luminance feedback adjustment operation are repeated as follows:

[0102] S71, when the current OLED display screen luminance adjustment user acceptance result judgment data h is not accepted, the steps S31, S41, S51, S52, S53, S61 and S62 are repeated to perform the current OLED display screen luminance feedback adjustment operation.

[0103] Through the cooperation of the user eye pupil brightness reaction state image acquisition unit and the current OLED display screen brightness adjustment user acceptance result judgment unit, the user eye pupil brightness feedback state image parameters are dynamically obtained by the front camera of the display screen, and the current OLED display screen brightness adjustment user acceptance result is accurately and scientifically analyzed by combining image analysis, the current OLED display screen brightness adjustment user acceptance result is scientifically and dynamically evaluated, and the feedback information of the user for the OLED display screen brightness adjustment result is intelligently monitored; The scientificity and intelligence of OLED display screen brightness adjustment are improved; The current OLED display screen brightness feedback adjustment operation execution unit independently and reliably executes the current OLED display screen brightness feedback adjustment operation based on the current OLED display screen brightness adjustment user acceptance result, and improves the functional diversity and applicability of OLED display screen brightness adjustment.

[0104] Embodiment 2:

[0105] Please refer to Figure 1 - Figure 2 The OLED display screen brightness intelligent control system based on big data is used to realize the OLED display screen brightness intelligent control method based on big data, and the system includes an OLED display screen brightness database establishment module, an OLED display screen brightness adjustment module, and an OLED display screen brightness feedback module.

[0106] The OLED display screen brightness database establishment module includes an OLED display screen working cycle environment brightness acquisition unit, an environment OLED display screen standard brightness adjustment parameter storage unit, and an environment OLED display screen brightness adjustment relationship database generation unit.

[0107] The OLED display screen working cycle environment brightness acquisition unit acquires OLED display screen working cycle environment brightness data through a brightness sensor; the environment OLED display screen standard brightness adjustment parameter storage unit is used to store environment OLED display screen standard brightness adjustment data; and the environment OLED display screen brightness adjustment relationship database generation unit performs OLED display screen and environment brightness adjustment relationship database establishment processing according to OLED display screen working cycle environment brightness data and environment OLED display screen standard brightness adjustment data, and generates an environment OLED display screen brightness adjustment relationship database.

[0108] The OLED display screen brightness adjustment module includes a current OLED display screen environment brightness parameter acquisition unit, a current OLED display screen brightness adjustment parameter matching unit, an OLED display screen brightness adjustment instruction parameter storage unit, a current OLED display screen brightness adjustment instruction searching unit, and a current OLED display screen brightness adjustment operation execution unit.

[0109] The current OLED display screen environment brightness parameter acquisition unit acquires current OLED display screen environment brightness data through a brightness sensor; the current OLED display screen brightness adjustment parameter matching unit performs brightness adjustment parameter matching processing of the current OLED display screen according to the current OLED display screen environment brightness data and an environment OLED display screen brightness adjustment relationship database, to generate current OLED display screen brightness adjustment data; the OLED display screen brightness adjustment instruction parameter storage unit is used for storing OLED display screen brightness adjustment instruction data; the current OLED display screen brightness adjustment instruction searching unit performs current OLED display screen brightness adjustment instruction search processing according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data, to generate current OLED display screen brightness adjustment instruction data; the current OLED display screen brightness adjustment operation execution unit performs current OLED display screen brightness adjustment operation according to the current OLED display screen brightness adjustment instruction data by the display screen brightness control end;

[0110] The OLED display screen brightness feedback module includes a user eye pupil brightness reaction state image acquisition unit, a current OLED display screen brightness adjustment user acceptance result judgment unit, and a current OLED display screen brightness feedback adjustment operation execution unit.

[0111] The user eye pupil brightness reaction state image acquisition unit acquires user eye pupil brightness feedback state image data through a display screen front camera; the current OLED display screen brightness adjustment user acceptance result judgment unit is used for performing current OLED display screen brightness adjustment result acceptance result judgment processing in the user end according to the user eye pupil brightness feedback state image data, to generate current OLED display screen brightness adjustment user acceptance result judgment data; and the current OLED display screen brightness feedback adjustment operation execution unit is used for performing current OLED display screen brightness feedback adjustment operation.

[0112] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent control method for OLED display brightness based on big data, characterized in that: The method comprises the following steps: S1. Collect the ambient brightness data of the OLED display during its working period; S2, establishing a brightness adjustment relationship database between the OLED display and the use environment based on the OLED display working cycle environment brightness data and the environment OLED display standard brightness adjustment data, to generate an environment OLED display brightness adjustment relationship database; S3, collect current OLED display screen ambient brightness data; S4, performing a matching process on the brightness adjustment parameters of the current OLED display screen according to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjustment relationship database to generate current OLED display screen brightness adjustment data; S5, performing a current OLED display brightness adjustment instruction search process based on the current OLED display brightness adjustment data and the OLED display brightness adjustment instruction data, generating the current OLED display brightness adjustment instruction data and executing the current OLED display brightness adjustment operation; S6. Collect the user's eye pupil brightness feedback state image data and perform a judgment process on the user's acceptance result of the current OLED display brightness adjustment result to generate the current OLED display brightness adjustment user acceptance result judgment data; If the answer is "accept", the brightness adjustment operation of the OLED display will be ended immediately. Specifically, S61, when the current OLED display brightness adjustment operation is completed, collecting the pupil size scaling reaction image information of the OLED display user's eyes in response to the current OLED display brightness adjustment state and the OLED display use environment brightness state through the front camera of the display, and generating the user eye pupil brightness feedback state image data set D = (d1, ..., d k ,…,d η ), k=1,2,3,…,η; where d k represents the kth user eye pupil brightness feedback state image data collected, and η represents the maximum number of user eye pupil brightness feedback state images collected; S62, using the SURF algorithm to convert the d k The images are numbered in order according to the user's pupil brightness feedback status and the rest of the images are numbered in order according to the user's pupil brightness feedback status. k Perform image feature matching and generate the current OLED display brightness adjustment user acceptance result judgment data h based on the image feature matching result; when d k With all the rest of the d k If all image features are matched successfully, the output is the current OLED display brightness adjustment user acceptance result judgment data h, which is accepted, and the OLED display brightness adjustment operation is directly ended; when d k With all the rest of the d k If the image feature is not matched successfully, the user acceptance result data h of the current OLED display brightness adjustment is output as unaccepted; S7. When the response is rejected, repeat steps S3, S4, S5, and S6 to perform the current OLED display brightness feedback adjustment operation.

2. The intelligent control method for OLED display brightness based on big data according to claim 1, characterized in that: Said S1 comprises the following steps: S11, collect the brightness change parameters of the target OLED display screen in the normal unit working time cycle through the brightness sensor online, and generate the OLED display screen working cycle environment brightness data set A = (a1, ..., a m ,…,a ε ), m=1,2,3,…,ε; where a m represents the collected m-th OLED display working cycle ambient brightness data, ε represents the maximum number of collected OLED display working cycle ambient brightness parameter types, a m The unit is nit.

3. The intelligent control method for brightness of an OLED display screen based on big data according to claim 2, characterized in that: The S2 comprises the following steps: S21, establish the standard brightness adjustment data set B of the environmental OLED display screen = (b1,…,b n ,…,b φ ), n=1,2,3,…,φ; where b n represents the standard brightness adjustment data of the ambient OLED display corresponding to the nth ambient brightness parameter, φ represents the maximum number of ambient brightness parameter types; b n The unit is nit; S22, the a in the A m According to the OLED display working cycle ambient brightness parameter type numbering order and described in B n Perform ambient brightness value matching and search for the a m The corresponding b n , and generate an environment OLED display brightness adjustment relation database A' through data identification; the specific operation steps for generating the environment OLED display brightness adjustment relation database A' are as follows: S221, set the b n Assume that T = T0 is the current solution, that is, set the initial temperature T0 for starting annealing in the B search space, and randomly generate an initial solution P r , that is, randomly in the B search space for the a m Search for the corresponding b n , and calculate the corresponding objective function value G(P r ); S222, generate the b n The new solution and the n The difference of the current solution, according to the b n For the current solution P i Perform disturbance, for the a m Generate a n New solution P j , calculate the objective function value G(P i ) and the objective function value of the new solution G(P j ), and obtain the objective function change ΔG; S223, judging the b n Whether the new solution is accepted, if the objective function change ΔG < 0, then the b n New solution P j Accepted; if the objective function change ΔG ≥ 0, then the b n New solution P j Accepted with the following probability, T i Indicates the current temperature; S224, when the b n When the new solution is accepted, the b n New solution P j is regarded as the b n Current solution; S225, loop through steps S221 to S224, and at a temperature T i Under these conditions, the perturbation and acceptance process is repeated three times, and then the next step is performed; S226. Finally find the global optimal solution: determine whether T has reached the termination temperature T zui If so, terminate the algorithm and output the same as a m The best match for the b n If not, go to loop step S225 and continue executing; S227, the b output in step S226 n After data identification, the environmental OLED display brightness adjustment relation database A'=(a'1,…,a' m ,…,a' ε ), where a' m Indicates the a m The corresponding environmental OLED display brightness adjustment relationship data; a′ m The unit is nit.

4. The intelligent control method for OLED display brightness based on big data according to claim 3, characterized in that: The S3 includes the following steps: S31. Collect the current brightness parameter of the target OLED display screen's usage environment online through a brightness sensor and generate J, where the unit of J is nits.

5. The intelligent control method for OLED display brightness based on big data according to claim 4, characterized in that: The S4 comprises the following steps: S41, using a bidirectional search algorithm to compare the J with the a' in the A' m Perform ambient brightness parameter matching and search for the a' corresponding to J m , and construct the current OLED display brightness adjustment data in The unit is nit.

6. The method for intelligently controlling brightness of an OLED display screen based on big data according to claim 5, characterized in that: The S5 comprises the following steps: S51. Establishing OLED display brightness adjustment instruction data set where c o Indicates the OLED display brightness adjustment instruction data corresponding to the oth OLED display brightness adjustment parameter, Indicates the maximum number of OLED display brightness adjustment parameter types; c o The unit is nit; S52, using a breadth-first search algorithm to With the C in c o Match the brightness adjustment parameters of the OLED display screen and search for the The corresponding c o , and construct the current OLED display brightness adjustment instruction data in The unit is nit; S53, the display brightness control terminal is based on the Execute the current OLED display brightness adjustment operation.

7. The intelligent control method for brightness of an OLED display screen based on big data according to claim 6, characterized in that: The S7 comprises the following steps: S71. When the value h is not accepted, steps S31, S41, S51, S52, S53, S61 and S62 are repeated to perform the current OLED display brightness feedback adjustment operation.

8. An intelligent control system for OLED display brightness based on big data, for implementing the intelligent control method for OLED display brightness based on big data according to any one of claims 1 to 7, characterized in that: The system includes an OLED display screen brightness database establishment module, an OLED display screen brightness adjustment module, and an OLED display screen brightness feedback module.

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