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

Abstract

The invention 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, 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. According to the current OLED display screen environment brightness parameters, intelligent matching of the current OLED display screen brightness adjustment parameters is carried out in combination with an intelligent search algorithm and an environment OLED display screen brightness adjustment relation database, intelligent and efficient matching of the OLED display screen brightness parameters based on the OLED display screen use condition is achieved, and accurate adjustment of the OLED display screen brightness is achieved; a display screen front-facing camera is adopted to dynamically acquire user eye pupil brightness feedback state image parameters, and image analysis is combined to accurately and scientifically analyze a current OLED display screen brightness adjustment user accepting result, so that the current OLED display screen brightness adjustment user accepting result is scientifically and dynamically evaluated. And the scientificity and intelligence of brightness adjustment of the OLED display screen are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of display screen brightness adjustment, and specifically to an intelligent control system and method for OLED display screen brightness based on big data. Background Art

[0002] Brightness refers to the physical quantity of the intensity of light emitted by the surface of a luminous object, which is called brightness. It is represented by L in physics and its unit is candela per square meter or nit. Brightness is an important indicator to measure the luminous intensity of a display screen. For a display screen, high brightness also means higher anti-interference ability to its working environment. The principle of brightness adjustment of OLED display screens is achieved by controlling the luminous intensity of each pixel. In an OLED display screen, each pixel is composed of three organic light-emitting materials: red, green, and blue, and each material has a different luminous intensity. By adjusting the luminous intensity of each pixel, the brightness of the entire OLED display screen can be changed. The brightness adjustment method of an OLED display screen is usually based on the ambient light brightness parameters 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 use of environmental intelligence by the OLED display screen, nor can it accurately judge the user acceptance results of the OLED display screen brightness adjustment results, reducing the safety and reliability of OLED display screen brightness adjustment.

[0003] A Chinese invention patent with announcement number CN105185301B discloses a method for adjusting the brightness of a display screen, which periodically detects the current ambient light brightness; autonomously analyzes and updates the maximum or minimum value of the ambient light, and after updating the maximum or minimum value of the ambient light, uses the maximum and minimum values ​​of the ambient light to generate multiple ambient light segments to update the ambient light and display screen brightness correspondence table, obtains the 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 take into account the user's acceptance result judgment of the display screen brightness adjustment result, which reduces the applicability of the display screen brightness. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In order to solve the problem that the existing OLED display brightness adjustment cannot intelligently establish an environment-OLED display brightness adjustment relationship database based on the OLED display usage environment, and cannot accurately judge the user acceptance result of the OLED display brightness adjustment result, thereby reducing the safety and reliability of OLED display brightness adjustment, the above purposes are achieved: accurately collect the OLED display working cycle environment brightness data, scientifically establish the environment OLED display brightness adjustment relationship database, accurately collect the current OLED display environment brightness data, accurately match the current OLED display brightness adjustment data, scientifically search for the current OLED display brightness adjustment instruction, autonomously execute the current OLED display brightness adjustment operation, dynamically collect the user's eye pupil brightness reaction state image parameters, intelligently judge the current OLED display brightness adjustment user acceptance result, and accurately execute the current OLED display brightness feedback adjustment operation.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical solution: an intelligent control method for brightness of an OLED display screen based on big data, the method comprising the following steps:

[0008] S1, collect the ambient brightness data of the OLED display screen during its working period;

[0009] S2, establishing a brightness adjustment relationship database between the OLED display screen and the use environment according to the ambient brightness data of the OLED display screen during the working cycle and the ambient OLED display screen standard brightness adjustment data, and generating an ambient OLED display screen brightness adjustment relationship database;

[0010] S3, collect current OLED display screen ambient brightness data;

[0011] S4, performing a brightness adjustment parameter matching process 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;

[0012] S5, performing a current OLED display screen brightness adjustment instruction search process according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data, generating the current OLED display screen brightness adjustment instruction data and executing the current OLED display screen brightness adjustment operation;

[0013] S6, collecting the user's eye pupil brightness feedback state image data and performing the acceptance result judgment processing of the current OLED display brightness adjustment result at the user end, generating the current OLED display brightness adjustment user acceptance result judgment data; when the result is acceptance, directly ending the current OLED display brightness adjustment operation;

[0014] S7. When the result is not accepted, repeat steps S3, S4, S5 and S6 to perform the current OLED display screen brightness feedback adjustment operation.

[0015] Preferably, the operation steps of 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 use environment within 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 ambient brightness data of the mth OLED display working cycle, ε represents the maximum number of the collected ambient brightness parameter types of the OLED display working cycle, a m The unit is nit.

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

[0018] Preferably, according to the OLED display screen working cycle environment brightness data and the environment OLED display screen standard brightness adjustment data, the brightness adjustment relationship database between the OLED display screen and the use environment is established and processed, and the operation steps of generating the environment OLED display screen brightness adjustment relationship database are as follows:

[0019] S21, establish the standard brightness adjustment data set B of the ambient 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 screen corresponding to the nth ambient brightness parameter, φ represents the maximum value of the number of ambient brightness parameter types; the standard brightness adjustment data of the ambient OLED display screen represents the optimal OLED display screen brightness adjustment parameters set for different types of ambient brightness parameters; b n The unit of is nit;

[0020] S22, the OLED display screen working cycle environment brightness data a in the OLED display screen working cycle environment brightness data set A m The ambient brightness parameter type numbers of the OLED display screen working cycle are sequentially matched with the ambient OLED display screen standard brightness adjustment data set B. n Perform ambient brightness value matching to search for the ambient brightness data a of the OLED display screen during its working period m The corresponding standard brightness adjustment data b of the ambient OLED display screen n , and generate an environmental OLED display brightness adjustment relation database A' through data identification; the specific operation steps for generating the environmental OLED display brightness adjustment relation database A' are as follows:

[0021] S221, setting the standard brightness adjustment data b of the ambient OLED display screen n Assume T = T0 as the current solution, that is, set the initial temperature T0 for starting annealing in the search space of the standard brightness adjustment data set B of the ambient OLED display screen, and randomly generate an initial solution P r , that is, randomly in the search space of the standard brightness adjustment data set B of the environmental OLED display screen, the ambient brightness data a of the working cycle of the OLED display screen is m Search for the corresponding standard brightness adjustment data b of the ambient OLED display screen n , and calculate the objective function value G(P r );

[0022] S222, generating the standard brightness adjustment data b of the environmental OLED display screen n New interpretation and standard brightness adjustment data of OLED display in the environment n The difference of the current solution is adjusted according to the standard brightness of the environmental OLED display screen. n For the current solution P i The disturbance is the ambient brightness data a of the OLED display screen during the working period m Generate a standard brightness adjustment data b of the environmental OLED display screen n New Solution j , calculate the objective function value G(P i ) and the objective function value of the new solution G(P j ), and the objective function change ΔG=G(P j )-G(P i );

[0023] S223, determining the standard brightness adjustment data b of the environmental OLED display screen 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 j is accepted; if the objective function variation ΔG ≥ 0, then the standard brightness adjustment data b of the ambient OLED display screen n New Solution 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 j is regarded as the standard brightness adjustment data of the ambient OLED display screen b n Current solution;

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

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

[0027] S227, the standard brightness adjustment data b of the ambient OLED display screen outputted 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 present invention dynamically and accurately establishes a brightness adjustment relationship database between the OLED display and the usage environment according to the ambient brightness parameters of the OLED display's working cycle in combination with an artificial intelligence annealing optimization algorithm and standard brightness adjustment parameters of the ambient OLED display set in a standard manner, thereby achieving the effect of intelligently establishing a brightness adjustment database between the OLED display and the usage environment based on the usage conditions of the OLED display.

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

[0030] S31. Collect the current brightness parameters of the use environment of the target OLED display screen online through a brightness sensor, and generate current OLED display screen environment brightness data J, where the unit of J is nit.

[0031] The present invention dynamically collects the current OLED display screen environment brightness parameters through a brightness sensor, thereby achieving the effect of providing real data support for real-time dynamic adjustment of the OLED display screen brightness.

[0032] Preferably, the operation steps of performing a brightness adjustment parameter matching process 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, 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 environmental brightness parameter matching to search for the environmental OLED display brightness adjustment relationship data a' corresponding to the current OLED display environmental brightness data J m , and construct the current OLED display brightness adjustment data in The unit is nit.

[0034] The present invention achieves the effect of intelligently and efficiently matching the brightness parameters of the OLED display based on the use conditions of the OLED display by intelligently matching the current OLED display brightness adjustment parameters according to the current OLED display environment brightness parameters in combination with a two-way search algorithm and an environment OLED display brightness adjustment relationship database.

[0035] Preferably, the operation steps of performing a current OLED display screen brightness adjustment instruction search process according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data, generating the current OLED display screen brightness adjustment instruction data and executing the current OLED display screen brightness adjustment operation are as follows:

[0036] S51. Establishing OLED display brightness adjustment instruction data set where c o represents the OLED display screen brightness adjustment instruction data corresponding to the oth OLED display screen brightness adjustment parameter, represents the maximum value of the number of OLED display screen brightness adjustment parameter types; the OLED display screen brightness adjustment instruction data represents the OLED display screen brightness adjustment execution program instruction parameters set for different types of OLED display screen brightness adjustment parameters, c o The unit of is nit;

[0037] S52, using a width-first search algorithm to search the current OLED display brightness adjustment data The OLED display screen brightness adjustment instruction data set C contains the OLED display screen brightness adjustment instruction data c. o Perform OLED display brightness adjustment parameter matching and search for the current OLED display brightness adjustment data The corresponding OLED display screen brightness adjustment instruction data c o , and construct the current OLED display brightness adjustment instruction data in The unit of is nit;

[0038] S53, the display screen brightness control terminal adjusts the brightness of the OLED display screen according to the current OLED display screen brightness adjustment instruction data Execute the current OLED display brightness adjustment operation.

[0039] The present invention achieves the effect of efficient and accurate brightness adjustment of the OLED display screen by accurately matching the current OLED display screen brightness adjustment instruction according to the current OLED display screen brightness adjustment parameter in combination with a width-first search algorithm and scientifically preset OLED display screen brightness adjustment instruction parameters, and autonomously and accurately executing the OLED display screen brightness adjustment operation in combination with the display screen brightness control terminal.

[0040] Preferably, the user's eye pupil brightness feedback state image data is collected and the acceptance result judgment processing of the current OLED display brightness adjustment result at the user end is performed to generate the current OLED display brightness adjustment user acceptance result judgment data; when it is accepted, the operation steps of directly ending the current OLED display brightness adjustment operation are as follows:

[0041] S61. When the current OLED display brightness adjustment operation is completed, 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 is collected online through the front camera of the display, and a 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 image data of the user's eye pupil brightness feedback state collected, η represents the maximum number of the user's eye pupil brightness feedback state images collected; the pupil size scaling reaction image represents the image information of the pupil contraction action and the enlargement action made by the user's eye pupil to synchronously adapt to the OLED display screen brightness adjustment state and the OLED display screen use environment brightness state, the pupil enlargement action represents that when the brightness of the target observed by the eye is weakened, the pupil is enlarged to increase the light entering the eye to achieve clear observation of the target, and the pupil contraction action represents that when the brightness of the target observed by the eye is enhanced, the pupil is contracted to reduce the light entering the eye to achieve clear observation of the target;

[0042] S62, using the SURF algorithm to convert the user's eye pupil brightness feedback state image data set D into the user's eye pupil brightness feedback state image data set D. k The user's eye pupil brightness feedback state image data d is sequentially numbered with the other user's eye pupil brightness feedback state image data d k Perform image feature matching, and generate current OLED display screen brightness adjustment user acceptance result judgment data h according to the image feature matching result;

[0043] When k With all the rest of the d k If all image features are matched successfully, the user's pupil zoom reaction is in a stable state, indicating that the current OLED display brightness adjustment state is consistent with the brightness state of the OLED display use environment. The user's eyes accept the current OLED display brightness adjustment result, and the current OLED display brightness adjustment user acceptance result judgment data h is output as acceptance. At this time, the OLED display brightness adjustment operation is directly ended;

[0044] When k With all the rest of the d k If the image features are not matched successfully, the user's pupil zoom reaction is in a changing state, indicating that the current OLED display brightness adjustment state is inconsistent with the brightness state of the OLED display usage environment, and the user's eyes do not accept the current OLED display brightness adjustment result, then the current OLED display brightness adjustment user acceptance result judgment data h is output as not accepted.

[0045] The present invention dynamically obtains the user's eye pupil brightness feedback state image parameters through the front camera of the display screen and combines image analysis to accurately and scientifically analyze the current user acceptance result of the OLED display screen brightness adjustment, thereby achieving the effect of scientifically and dynamically evaluating the current user acceptance result of the OLED display screen brightness adjustment.

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

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

[0048] The present invention achieves the effect of improving the functional diversity and applicability of the brightness adjustment of the OLED display screen by autonomously and reliably performing the current OLED display screen brightness feedback adjustment operation based on the current OLED display screen brightness adjustment user acceptance result.

[0049] An OLED display screen brightness intelligent control system based on big data, used to implement the OLED display screen brightness intelligent control method based on big data, 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;

[0050] 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;

[0051] The OLED display screen working cycle environment brightness acquisition unit collects the 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 the environment OLED display screen standard brightness adjustment data; the environment OLED display screen brightness adjustment relationship database generation unit performs a brightness adjustment relationship database establishment process between the OLED display screen and the use environment 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 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 search unit, and a current OLED display screen brightness adjustment operation execution unit;

[0053] The current OLED display screen environment brightness parameter acquisition unit acquires the current OLED display screen environment brightness data through a brightness sensor; the current OLED display screen brightness adjustment parameter matching unit performs a brightness adjustment parameter matching process on 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, and generates the current OLED display screen brightness adjustment data; the OLED display screen brightness adjustment instruction parameter storage unit is used to store the OLED display screen brightness adjustment instruction data; the current OLED display screen brightness adjustment instruction search unit performs a current OLED display screen brightness adjustment instruction search process according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data, and generates the current OLED display screen brightness adjustment instruction data; the current OLED display screen brightness adjustment operation execution unit, the display screen brightness control terminal executes the current OLED display screen brightness adjustment operation according to the current OLED display screen brightness adjustment instruction data;

[0054] The OLED display screen brightness feedback module includes a user's 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;

[0055] The user's eye pupil brightness reaction state image acquisition unit acquires user's eye pupil brightness feedback state image data through the front camera of the display screen; the current OLED display screen brightness adjustment user acceptance result judgment unit is used to perform acceptance result judgment processing of the current OLED display screen brightness adjustment result at the user end based on the user's eye pupil brightness feedback state image data, and generate current OLED display screen brightness adjustment user acceptance result judgment data; the current OLED display screen brightness feedback adjustment operation execution unit is used to execute the current OLED display screen brightness feedback adjustment operation.

[0056] (III) Beneficial effects

[0057] The present invention provides an intelligent control system and method for OLED display screen brightness based on big data, which has the following beneficial effects:

[0058] 1. Obtain the working cycle environment brightness parameters of the OLED display online through the brightness sensor, realize scientific and complete collection of the working cycle environment brightness information of the OLED display, and provide reliable data support for accurately establishing the brightness adjustment relationship database between the OLED display and the use environment; according to the working cycle environment brightness parameters of the OLED display combined with the intelligent recognition algorithm and the standard setting of the environment OLED display standard brightness adjustment parameters, dynamically and accurately establish the brightness adjustment relationship database between the OLED display and the use environment, realize point-to-point intelligent establishment of the brightness adjustment database between the OLED display and the use environment based on the use conditions of the OLED display, and improve the accuracy of the brightness adjustment of the OLED display.

[0059] 2. Dynamically collect the current OLED display environment brightness parameters through the brightness sensor to provide real data support for real-time dynamic adjustment of the OLED display brightness; intelligently match the current OLED display brightness adjustment parameters according to the current OLED display environment brightness parameters combined with the intelligent search algorithm and the environment OLED display brightness adjustment relationship database, and realize intelligent and efficient matching of OLED display brightness parameters based on the OLED display usage conditions; accurately match the current OLED display brightness adjustment command according to the current OLED display brightness adjustment parameters combined with the intelligent search algorithm and the scientifically preset OLED display brightness adjustment command parameters, and independently and accurately execute the OLED display brightness adjustment operation in combination with the display brightness control end, so as to realize efficient and accurate adjustment of the OLED display brightness and improve the brightness adjustment effect of the OLED display.

[0060] 3. Dynamically obtain the user's eye pupil brightness feedback status image parameters through the front camera of the display screen and combine image analysis to accurately and scientifically analyze the current user acceptance result of the OLED display screen brightness adjustment, realize scientific and dynamic evaluation of the current user acceptance result of the OLED display screen brightness adjustment, and realize intelligent monitoring of the user's feedback information on the OLED display screen brightness adjustment result; improve the scientificity and intelligence of the OLED display screen brightness adjustment; autonomously and reliably execute the current OLED display screen brightness feedback adjustment operation based on the current OLED display screen brightness adjustment user acceptance result, and improve the functional diversity and applicability of OLED display screen brightness adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a module of an intelligent control system for OLED display brightness based on big data provided by the present invention;

[0062] Figure 2 This is a flow chart of the big data-based intelligent brightness control method for an OLED display screen provided by the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

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

[0065] Embodiment 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 comprising the following steps:

[0067] S1, collect the ambient brightness data of the OLED display screen during its working period;

[0068] S2, establishing and processing a brightness adjustment relationship database between the OLED display and the use environment according to the ambient brightness data of the OLED display during its working cycle and the ambient OLED display standard brightness adjustment data, and generating an ambient OLED display brightness adjustment relationship database;

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

[0070] S4, performing a brightness adjustment parameter matching process on 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, and generating the current OLED display screen brightness adjustment data;

[0071] S5, performing a current OLED display brightness adjustment instruction search process 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;

[0072] S6, collecting the user's eye pupil brightness feedback state image data and performing the acceptance result judgment processing of the current OLED display brightness adjustment result at the user end, generating the current OLED display brightness adjustment user acceptance result judgment data; when the result is acceptance, directly ending the current OLED display brightness adjustment operation;

[0073] S7. When the result is not accepted, repeat steps S3, S4, S5 and S6 to perform the current OLED display screen brightness feedback adjustment operation.

[0074] For further information, see Figure 1 - Figure 2 The steps to collect the ambient brightness data of the OLED display screen during its working cycle are as follows:

[0075] S11, collect the brightness change parameters of the target OLED display screen in the use environment within 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 ambient brightness data of the mth OLED display working cycle, ε represents the maximum number of the collected ambient brightness parameter types of the OLED display working cycle, a m The unit is nit.

[0076] According to the ambient brightness data of the OLED display screen during working cycle and the ambient OLED display screen standard brightness adjustment data, a brightness adjustment relationship database between the OLED display screen and the use environment is established and processed. The operation steps for generating the ambient OLED display screen brightness adjustment relationship database are as follows:

[0077] S21, establish the standard brightness adjustment data set B of the ambient 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 screen 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 screen represents the optimal OLED display screen brightness adjustment parameters set for different types of ambient brightness parameters; b n The unit of is nit;

[0078] S22, the OLED display screen working cycle environment brightness data a in the OLED display screen working cycle environment brightness data set A m According to the working cycle of OLED display screen, the ambient brightness parameter type number is sorted and the ambient OLED display screen standard brightness adjustment data set B is the ambient OLED display screen standard brightness adjustment data b. n Perform ambient brightness value matching and search for ambient brightness data a of the OLED display screen during its working cycle m Corresponding ambient OLED display standard brightness adjustment data b n , and generate the environment OLED display brightness adjustment relation database A' through data identification; the specific operation steps for executing the generation of the environment OLED display brightness adjustment relation database A' are as follows:

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

[0080] S222, generate standard brightness adjustment data b of the ambient OLED display screen n New interpretation and environmental OLED display standard brightness adjustment data b n The difference of the current solution, adjust the data b according to the standard brightness of the ambient OLED display n For the current solution P i The disturbance is the ambient brightness data a of the OLED display working cycle m Generate an ambient OLED display standard brightness adjustment data b n New Solution j , calculate the objective function value G(P i ) and the objective function value of the new solution G(P j ), and the objective function change ΔG=G(P j )-G(P i );

[0081] S223, determine the standard brightness adjustment data b of the ambient OLED display screen n Whether the new solution is accepted, if the objective function change ΔG < 0, then the standard brightness adjustment data b of the ambient OLED display n New Solution j Accepted; if the objective function variation ΔG ≥ 0, then the ambient OLED display standard brightness adjustment data b n New Solution 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);

[0082] S224, when the ambient OLED display standard brightness adjustment data b n When the new solution is accepted, the ambient OLED display standard brightness adjustment data b n New Solution jIt is regarded as the standard brightness adjustment data of the ambient OLED display. n Current solution;

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

[0084] S226. Finally find the global optimal solution: determine whether T has reached the termination temperature T zui If yes, 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 to continue execution;

[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 The 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 working cycle environment brightness parameters of the OLED display online, so as to realize scientific and complete collection of the working cycle use environment brightness information of the OLED display, 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 according to the working cycle environment brightness parameters of the OLED display combined with the intelligent recognition algorithm and the standard brightness adjustment parameters of the environment OLED display set by the standard, so as to realize the point-to-point intelligent establishment of the brightness adjustment database between the OLED display and the use environment based on the use conditions of the OLED display, and improve the accuracy of the brightness adjustment of the OLED display.

[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 use environment of the target OLED display screen online through a brightness sensor, and generate current OLED display screen environment brightness data J, where the unit of J is nit.

[0089] According to the current OLED display screen environment brightness data and the environment OLED display screen brightness adjustment relationship database, the brightness adjustment parameter matching process of the current OLED display screen is performed, and the operation steps of generating 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 of 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 represents the OLED display screen brightness adjustment instruction data corresponding to the oth OLED display screen 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 of is nit;

[0093] S52, using the width-first search algorithm to adjust the current OLED display brightness data The OLED display brightness adjustment instruction data set C contains the OLED display brightness adjustment instruction data c. o Match the brightness adjustment parameters of the OLED display and search for the current brightness adjustment data of the OLED display The corresponding OLED display brightness adjustment instruction data c o , and construct the current OLED display brightness adjustment instruction data in The unit of is nit;

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

[0095] Through the current OLED display environment brightness parameter acquisition unit, a brightness sensor is used to dynamically acquire the current OLED display environment brightness parameters, providing real data support for real-time dynamic adjustment of the OLED display brightness; the current OLED display brightness adjustment parameter matching unit intelligently matches the current OLED display brightness adjustment parameters according to the current OLED display environment brightness parameters combined with an intelligent search algorithm and an environment OLED display brightness adjustment relationship database, and realizes intelligent and efficient matching of OLED display brightness parameters based on the OLED display usage conditions; the current OLED display brightness adjustment instruction search unit and the current OLED display brightness adjustment operation execution unit cooperate with each other, accurately match the current OLED display brightness adjustment instruction according to the current OLED display brightness adjustment parameters combined with an intelligent search algorithm and scientifically preset OLED display brightness adjustment instruction parameters, and independently and accurately execute the OLED display brightness adjustment operation in combination with the display brightness control end, so as to realize efficient and accurate adjustment of the OLED display brightness and improve the brightness adjustment effect of the OLED display.

[0096] For further information, see Figure 1 - Figure 2 , collect the user's eye pupil brightness feedback state image data and perform the acceptance result judgment processing of the current OLED display brightness adjustment result at the user end, and generate the current OLED display brightness adjustment user acceptance result judgment data; when it is accepted, the operation steps of directly ending this OLED display brightness adjustment operation are as follows:

[0097] S61. When the current OLED display brightness adjustment operation is completed, 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 is collected online through the front camera of the display, and a user eye pupil brightness feedback state image data set D = (d1, ..., d k ,…,d η ), k = 1, 2, 3, ..., η; where d krepresents the kth image data of the user's eye pupil brightness feedback state collected, η represents the maximum number of the user's eye pupil brightness feedback state images collected; the pupil size scaling reaction image represents the image information of the pupil contraction action and the enlargement action made by the user's eye pupil to synchronously adapt to the OLED display screen brightness adjustment state and the OLED display screen use environment brightness state, the pupil enlargement action represents that when the brightness of the target observed by the eye is weakened, the pupil is enlarged to increase the light entering the eye to achieve clear observation of the target, and the pupil contraction action represents that when the brightness of the target observed by the eye is enhanced, the pupil is contracted to reduce the light entering the eye to achieve clear observation of the target;

[0098] S62, using the SURF algorithm to convert the user's eye pupil brightness feedback state image data set D into the user's eye pupil brightness feedback state image data set D. k According to the user's eye pupil brightness feedback state image number, the image is sequentially compared with the other user's eye pupil brightness feedback state image data d k Perform image feature matching, and generate current OLED display screen brightness adjustment user acceptance result judgment data h according to the image feature matching result;

[0099] When k With all the rest of the d k If all image features are matched successfully, the user's pupil zoom reaction is in a stable state, indicating that the current OLED display brightness adjustment state is consistent with the brightness state of the OLED display use environment. The user's eyes accept the current OLED display brightness adjustment result, and the current OLED display brightness adjustment user acceptance result judgment data h is output as acceptance. At this time, the OLED display brightness adjustment operation is directly ended;

[0100] When k With all the rest of the d k If the image features are not matched successfully, the user's pupil zoom reaction is in a changing state, indicating that the current OLED display brightness adjustment state is inconsistent with the brightness state of the OLED display usage environment, and the user's eyes do not accept the current OLED display brightness adjustment result, then the current OLED display brightness adjustment user acceptance result judgment data h is output as not accepted.

[0101] When the 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:

[0102] S71. When the user acceptance result judgment data h of the current OLED display brightness adjustment is not accepted, repeat steps S31, S41, S51, S52, S53, S61 and S62 to perform the current OLED display brightness feedback adjustment operation.

[0103] Through the cooperation of the user's eye pupil brightness reaction state image acquisition unit and the current OLED display screen brightness adjustment user acceptance result judgment unit, the front camera of the display screen is used to dynamically obtain the user's eye pupil brightness feedback state image parameters and combine the image analysis to accurately and scientifically analyze the current OLED display screen brightness adjustment user acceptance result, so as to realize scientific and dynamic evaluation of the current OLED display screen brightness adjustment user acceptance result, and realize intelligent monitoring of the user's feedback information on the OLED display screen brightness adjustment result; improve the scientificity and intelligence of the OLED display screen brightness adjustment; 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, so as to improve the functional diversity and applicability of the OLED display screen brightness adjustment.

[0104] Embodiment 2:

[0105] See also Figure 1 - Figure 2 , an OLED display brightness intelligent control system based on big data, used to implement an OLED display brightness intelligent control method based on big data, the system includes an OLED display brightness database establishment module, an OLED display brightness adjustment module, and an OLED display brightness feedback module;

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

[0107] An OLED display screen working cycle environment brightness acquisition unit, which collects the OLED display screen working cycle environment brightness data through a brightness sensor; an environment OLED display screen standard brightness adjustment parameter storage unit, which is used to store the environment OLED display screen standard brightness adjustment data; an environment OLED display screen brightness adjustment relationship database generation unit, which establishes a brightness adjustment relationship database between the OLED display screen and the use environment based on 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;

[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 search unit, and a current OLED display screen brightness adjustment operation execution unit;

[0109] A current OLED display screen environment brightness parameter acquisition unit, which collects the current OLED display screen environment brightness data through a brightness sensor; a current OLED display screen brightness adjustment parameter matching unit, which performs a brightness adjustment parameter matching process on 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, and generates the current OLED display screen brightness adjustment data; an OLED display screen brightness adjustment instruction parameter storage unit, which is used to store the OLED display screen brightness adjustment instruction data; a current OLED display screen brightness adjustment instruction search unit, which performs a current OLED display screen brightness adjustment instruction search process according to the current OLED display screen brightness adjustment data and the OLED display screen brightness adjustment instruction data, and generates the current OLED display screen brightness adjustment instruction data; a current OLED display screen brightness adjustment operation execution unit, in which the display screen brightness control terminal executes the current OLED display screen brightness adjustment operation according to the current OLED display screen brightness adjustment instruction data;

[0110] The OLED display brightness feedback module includes a user's eye pupil brightness response state image acquisition unit, a current OLED display brightness adjustment user acceptance result judgment unit, and a current OLED display brightness feedback adjustment operation execution unit;

[0111] The user's eye pupil brightness reaction state image acquisition unit acquires the user's eye pupil brightness feedback state image data through the front camera of the display screen; the current OLED display screen brightness adjustment user acceptance result judgment unit is used to perform the acceptance result judgment processing of the current OLED display screen brightness adjustment result at the user end based on the user's eye pupil brightness feedback state image data, and generate the current OLED display screen brightness adjustment user acceptance result judgment data; the current OLED display screen brightness feedback adjustment operation execution unit is used to execute the current OLED display screen brightness feedback adjustment operation.

[0112] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control method for brightness of an OLED display screen based on big data, characterized in that: The method comprises the following steps: S1, collect the ambient brightness data of the OLED display screen during its working period; S2, establishing a brightness adjustment relationship database between the OLED display screen and the use environment according to the ambient brightness data of the OLED display screen during the working cycle and the ambient OLED display screen standard brightness adjustment data, and generating an ambient OLED display screen brightness adjustment relationship database; S3, collect current OLED display screen ambient brightness data; S4, performing a brightness adjustment parameter matching process 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 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; S6, collecting the user's eye pupil brightness feedback state image data and performing the acceptance result judgment processing of the current OLED display brightness adjustment result at the user end, generating the current OLED display brightness adjustment user acceptance result judgment data; when the result is acceptance, directly ending the current OLED display brightness adjustment operation; S7. When the result is not accepted, repeat steps S3, S4, S5 and S6 to perform the current OLED display screen brightness feedback adjustment operation.

2. The intelligent control method for brightness of an OLED display screen based on big data according to claim 1 is characterized in that: The S1 comprises the following steps: S11, collect the brightness change parameters of the target OLED display screen in the use environment within 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 ambient brightness data of the mth OLED display working cycle, ε represents the maximum number of the collected ambient brightness parameter types of the OLED display working cycle, a m The unit is nit.

3. The intelligent control method of OLED display brightness based on big data according to claim 2 is characterized in that: The S2 comprises the following steps: S21, establish the standard brightness adjustment data set B of the ambient 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 of is nit; S22, the a in the A m According to the working cycle of the OLED display screen, the ambient brightness parameter type is numbered in order and described in B n Perform ambient brightness value matching and search for the a m The corresponding b n , and generate an environmental OLED display brightness adjustment relation database A' through data identification; the specific operation steps for generating the environmental OLED display brightness adjustment relation database A' are as follows: S221, setting the b n Assume T = T0 as 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 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 Perturb, for the a m Generate a n New Solution 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, determine the b n Whether the new solution is accepted, if the objective function change ΔG < 0, then the b n New Solution j is accepted; if the objective function change ΔG ≥ 0, then the b n New Solution j Accepted with the following probability, T i Indicates the current temperature; S224, when b n When the new solution is accepted, the b n New Solution j is regarded as the b n Current solution; S225, loop through steps S221 to S224, at a temperature T i Under the condition, the perturbation and acceptance process is repeated three times, and then the next step is executed; 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 same as a m The best match for the b n ; If not, go to loop step S225 to continue execution; 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 of OLED display brightness based on big data according to claim 3 is characterized in that: The S3 comprises the following steps: S31. Collect the current brightness parameters of the use environment of the target OLED display screen online through a brightness sensor, and generate J, where the unit of J is nit.

5. The intelligent control method of OLED display brightness based on big data according to claim 4 is 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 is characterized in that: The S5 comprises the following steps: S51. Establishing OLED display brightness adjustment instruction data set where c o represents the OLED display screen brightness adjustment instruction data corresponding to the oth OLED display screen brightness adjustment parameter, Indicates the maximum number of OLED display brightness adjustment parameter types; c o The unit of is nit; S52, using a breadth-first search algorithm to The same as 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 of is nit; S53, the display screen brightness control terminal is based on the Execute the current OLED display brightness adjustment operation.

7. The method for intelligently controlling brightness of an OLED display screen based on big data according to claim 6 is characterized in that: The S6 comprises the following steps: S61. When the current OLED display brightness adjustment operation is completed, 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 is collected online through the front camera of the display, and a 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 image data of the user's eye pupil brightness feedback state collected, and n represents the maximum number of the user's eye pupil brightness feedback state images collected; S62, using the SURF algorithm to convert the d in D k The images are numbered in order according to the user's pupil brightness feedback state and the rest are listed in the table. k Perform image feature matching, and generate current OLED display screen brightness adjustment user acceptance result judgment data h according to the image feature matching result; When k With all the rest of the d k If all image features are matched successfully, the user acceptance result judgment data h of the current OLED display brightness adjustment is output as acceptance, and the current OLED display brightness adjustment operation is directly ended; When k With all the rest of the d k If the image feature is not matched successfully, the output result judgment data h of the user acceptance of the current OLED display brightness adjustment is not accepted.

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

9. An intelligent control system for brightness of an OLED display screen based on big data, used to implement the intelligent control method for brightness of an OLED display screen based on big data as claimed in any one of claims 1 to 8, 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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