CN115862500B - Data compensation method and system for flat panel display - Google Patents
Data compensation method and system for flat panel display Download PDFInfo
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Abstract
The application provides a data compensation method and a system for a flat panel display, wherein the method comprises the following steps: the big data management platform receives the working parameters sent by the detection module, wherein the working parameters are real-time working parameters of the flat panel display; generating a data adjustment table according to the working parameters to correspondingly calculate and acquire compensation coefficients, wherein the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table; and carrying out data compensation on the planar display through the compensation coefficient. The application is helpful for remote data compensation of various errors of the flat panel display detection equipment.
Description
Technical Field
The present invention relates to the field of flat panel display detection, and in particular, to a method and a system for compensating data of a flat panel display.
Background
In recent years, with the rapid rise of the flat panel display industry, flat panel display detection devices have become the focus of attention in the current automation industry, and related applications thereof have the advantages of thin, power-saving, energy-saving, light-weight, image quality improvement, better visual effect, and man-machine communication media more conforming to the living needs of new times.
At present, most of the designs of domestic flat panel display detection equipment are single demand modes designed according to demands, continuous technical support and function change are required in the application process of products, various errors generally exist in the detection process of the flat panel display, and the flat panel display detection equipment in the related technology can only complete single error data compensation of the flat panel display through a preset built-in program and cannot timely compensate various errors of the flat panel display.
Therefore, a method for compensating data of a flat panel display is needed.
Disclosure of Invention
The application provides a data compensation method and a data compensation system for a flat panel display, which can timely compensate various errors of the flat panel display.
In a first aspect of the present application, a method for compensating data of a flat panel display is provided, and the method includes:
The big data management platform receives the working parameters sent by the detection module, wherein the working parameters are preset voltage values, real-time voltage values and temperature rise data;
generating a data adjustment table according to the working parameters, wherein the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table;
generating a compensation coefficient according to the data adjustment table;
and carrying out data compensation on the planar display through the compensation coefficient.
By adopting the technical scheme, the detection module can be used for acquiring the working parameters of the flat panel display in real time, sending the working parameters to the big data management platform to generate a data adjustment table, acquiring the compensation coefficient of the flat panel display according to the data adjustment table, and further carrying out remote data compensation on the currently detected flat panel display through the big data management platform.
Optionally, the big data management platform generates a first data curve according to the temperature rise data and voltage data relation table, and judges whether the first overlap ratio of the second data curve generated by the real-time voltage value of the flat panel display and the first data curve is greater than or equal to a first threshold value;
If the first overlap ratio is smaller than the first threshold value, the big data management platform sends a first compensation coefficient to the detection module, so that the detection module can adjust the real-time voltage value of the flat panel display according to the first compensation coefficient, and the difference value between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is smaller than or equal to a first error value.
By adopting the technical scheme, when the coincidence ratio of the first data curve and the second data curve is smaller than the first threshold value, the big data management platform sends a first compensation coefficient to the detection module so that the detection module can adjust the real-time voltage value of the flat panel display, the difference value between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is smaller than or equal to the first error value, and the compensation coefficient of the temperature rise and the preset voltage current preset value of the flat panel display is further determined so as to meet the remote data compensation of the big data management platform to the detection module.
Optionally, the big data management platform generates a third data curve according to the preset voltage and real-time voltage relation table, and judges whether the second degree of coincidence between a fourth data curve generated by the real-time voltage value of the flat panel display and the third data curve is greater than or equal to a second threshold value;
And if the second coincidence degree is smaller than the second threshold value, the big data management platform sends a second compensation coefficient to the detection module so as to adjust a stepping adjustment value of the preset voltage value of the flat panel display according to the second compensation coefficient by the detection module, and further, the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display reaches the preset voltage value is smaller than or equal to a second error value.
By adopting the technical scheme, when the coincidence ratio of the second data curve and the dynamic power supply adjusting curve does not meet the second threshold value, the big data management platform sends a second compensation coefficient to the detection module so that the detection module adjusts the step adjusting value of the preset voltage of the flat panel display, and further, the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display actually reaches the preset voltage value is smaller than or equal to the second error value, and further, the compensation coefficient for determining the step adjusting value of the preset voltage of the flat panel display and the dynamic power supply adjusting response time is determined so as to meet the remote data compensation of the big data management platform to the detection module.
Optionally, the big data management platform receives the real-time voltage value sent by the detection module and the preset voltage value of the flat panel display;
Obtaining a third error value through the difference between the real-time voltage value and the preset voltage value;
And performing discrete operation analysis based on the third error value to obtain a third compensation coefficient, wherein the third compensation coefficient is an accuracy compensation coefficient of the voltage preset value and the real-time voltage value.
By adopting the technical scheme, the big data management platform calculates the difference between the real-time voltage value and the preset voltage value according to the received real-time voltage value and the preset voltage value when the preset voltage value is regulated, so as to obtain a third error value, and performs discrete operation analysis on the third error value, so as to determine the precision compensation coefficient of the preset voltage value and the real-time voltage value of the flat panel display, and further meet the requirement of the big data management platform on remote data compensation of the detection module.
Optionally, the big data management platform receives the real-time voltage value and the preset voltage value sent by the detection module;
And calculating the deviation value of the real-time voltage value and the preset voltage value, wherein the ageing grades of the power supply devices in the detection module correspond to different deviation values, and one ageing grade corresponds to one deviation value.
By adopting the technical scheme, according to the deviation value of the real-time voltage value and the preset voltage value, the aging degree of the power supply device is judged according to different deviation values, so that the aging degree of the power supply device in the detection module is effectively predicted, and the normal operation of the detection module is ensured.
Optionally, a compensation formula is constructed according to the voltage theoretical value Y, the real-time voltage value x and the temperature rise influence coefficient of the flat panel display:
wherein K 1 is a first compensation coefficient, K 2 is a second compensation coefficient, K 3 is a third compensation coefficient, α is a corresponding weight of the first compensation coefficient, β is a corresponding weight of the second compensation coefficient, and γ is a corresponding weight of the third compensation coefficient.
By adopting the technical scheme, the data compensation is carried out on the flat panel display according to the first compensation coefficient, the second compensation coefficient and the third compensation coefficient which are generated by various error relations, and then the adjustment of the configuration is carried out through the big data platform and the actual detection requirement, so that various errors of the flat panel display are timely compensated by the detection module.
Optionally, the big data management platform displays the working parameters collected by the detection module and the data adjustment form in real time through a display signboard.
By adopting the technical scheme, the working parameters and the data adjustment table can be visually displayed, so that the data display is clearer and clearer.
In a second aspect the application provides a flat panel display inspection system comprising an inspection module and a big data management platform, wherein,
The big data management platform receives the working parameters sent by the detection module, generates a data adjustment table according to the working parameters, generates a compensation coefficient according to the data adjustment table, and further performs data compensation on the flat panel display through the compensation coefficient, wherein the working parameters are preset voltage values, real-time voltage values and temperature rise data, and the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table.
By adopting the technical scheme, the big data management platform acquires the working parameters sent by the detection module in real time, generates a data adjustment table according to the working parameters, and further calculates and acquires the compensation coefficient so as to realize data compensation of the flat panel display.
In a third aspect of the application there is provided an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating to other devices, the processor for executing instructions stored in the memory.
By adopting the technical scheme, the instruction can be read quickly, the response speed of the electronic equipment to the first compensation coefficient and the second compensation coefficient sent by the big data management platform is improved, and the speed of adjusting the actual voltage value of the flat panel display and the stepping adjustment value of the preset voltage of the flat panel display is further improved.
In a fourth aspect of the application, a computer readable storage medium is provided, having stored thereon a computer program for execution by a processor to perform the steps of a method for compensating data for a flat panel display.
In summary, the present application includes at least one of the following beneficial technical effects:
1. The detection module can be used for acquiring working parameters of the flat panel display in real time, sending the working parameters to the big data management platform to generate a data adjustment table, acquiring compensation coefficients of the flat panel display according to the data adjustment table, and further carrying out remote data compensation on the currently detected flat panel display through the big data management platform;
2. And carrying out data compensation on the flat panel display according to the first compensation coefficient, the second compensation coefficient and the third compensation coefficient which are generated by the various error relations, and further carrying out configuration adjustment through a large data platform and actual detection requirements so as to meet the requirement that the detection module carries out timely compensation on various errors of the flat panel display.
Drawings
FIG. 1 is a schematic flow chart of a method for compensating data of a flat panel display according to an embodiment of the application;
Fig. 2 is a flowchart of a first compensation coefficient calculating method according to an embodiment of the present application;
FIG. 3 is a flowchart of a second compensation coefficient calculating method according to an embodiment of the present application;
Fig. 4 is a flowchart of a third compensation coefficient calculating method according to an embodiment of the present application;
Fig. 5 is a schematic block diagram of a method for compensating data of a flat panel display according to an embodiment of the application.
Reference numerals illustrate: 1. an electronic device; 11. a processor; 12. a communication bus; 13. a user interface; 14. a network interface; 15. a memory.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The application is described in further detail below with reference to fig. 1-5.
The embodiment of the application discloses a data compensation method of a flat panel display, as shown in fig. 1, the method comprises the steps of S101-S104, and S101, wherein a big data management platform receives working parameters sent by a detection module, and the working parameters are preset voltage values, real-time voltage values and temperature rise data.
In this step, the working parameters may further include a real-time current value, a voltage adjustment value, and a current adjustment value, where the voltage values may be replaced by current values, so as to implement real-time regulation and control of the voltage and the current of the flat panel display sent by the detection module by the big data platform.
Step S102, a data adjustment table is generated according to the working parameters, wherein the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table.
In the step, a relation table of temperature rise data and voltage data is generated according to the received temperature rise data, the real-time voltage value and the real-time current value, and a preset voltage and real-time voltage relation table is generated according to the received voltage adjustment value, the current adjustment value, the real-time voltage value and the real-time current value.
Step S103, generating compensation coefficients according to the data adjustment table.
Step S104, data compensation is carried out on the flat panel display through the compensation coefficient.
The detection module can be used for collecting working parameters of the flat panel display in real time, sending the working parameters to the big data management platform to generate a data adjustment table, and obtaining compensation coefficients of the flat panel display according to the data adjustment table, so that remote data compensation is carried out on the currently detected flat panel display through the big data management platform.
In one example, the data adjustment table may further include an anomaly protection real-time data table generated from real-time voltage values and current values transmitted to the big data management platform when the detection module is in an anomaly protection state.
In one example, the abnormality protection real-time data table analyzes abnormal conditions of the plane detection device, and the detection module can deduce the resistance change of the sampling resistor from the real-time voltage value and the real-time current value of the currently detected plane display. And when the sampling resistance change exceeds a standard error, the damage of the sampling resistance is indicated, wherein the standard error is set by a user or is set as a factory standard. If the real-time voltage value or the real-time current value waveguide is large, for example, the real-time voltage value exceeds 30% of the preset voltage value or the real-time current voltage value exceeds 40% of the preset current value, and the compensation of the flat panel display is very frequent or not enough to meet the requirement, the acquisition circuit or the generation circuit is damaged. For example, the frequent compensation here may be 3 times compensation of the flat panel display within 10 minutes, 18 times compensation of the flat panel display within 1 hour, or the like.
In one example, the detection module may correspond to a flat panel display detection apparatus, where the flat panel display detection apparatus includes a programmable power adjustment module, a flat panel display power acquisition module, a data storage module, a network communication module, and a flat panel display drive module.
The programmable power supply adjusting module is used for adjusting the power supply current, the voltage and the protection parameters of the flat panel display with different interfaces and different sizes.
The flat panel display power supply acquisition module is used for flat panel display power supply current data acquisition, voltage data acquisition, temperature rise data acquisition and dynamic response time acquisition of different interfaces and different sizes.
The data storage module is used for storing the real-time voltage value and the real-time current value, the real-time voltage value and the real-time current value during abnormal protection, the real-time temperature rise data, the protection parameters and the dynamic adjustment coefficients.
The network communication module is used for communicating with the big data management platform, the big data management platform Can be in networking communication with the N plane display detection devices, and the communication modes Can be wire or wireless networking connection modes such as Can, RS485, industrial Ethernet, WIFI, GPRS and the like.
The flat panel display driving module is used for driving LVDS interface flat panel display, EDP interface flat panel display, MIPI interface flat panel display and MCU interface flat panel display.
In one example, the flat panel display detection device has a data storage function and a power parameter self-correction function, and can automatically acquire the stored related compensation coefficient to perform self-correction on the preset voltage value or the preset current value of the flat panel display when the network abnormality occurs between the big data management platform and the flat panel display detection device.
In one example, the big data management platform automatically counts and generates technical defects and parameter reliability indicators in the operation of the plane detection device for product iteration upgrade data reference.
Three error coefficient acquisition methods are selected to explain the data compensation method of the flat panel display.
In this embodiment, referring to fig. 2, the steps of the first compensation coefficient calculating method include S201 to S202, and step S201, the big data management platform generates a first data curve according to the temperature rise data and voltage data relation table, and determines whether a first overlap ratio of a second data curve generated by a real-time voltage value of the flat panel display and the first data curve is greater than or equal to a first threshold;
step S202, if the first overlap ratio is smaller than a first threshold value, the big data management platform sends a first compensation coefficient to the detection module, so that the detection module can adjust the real-time voltage value of the flat panel display according to the first compensation coefficient, and further the difference value between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is smaller than or equal to the first error value.
When the coincidence ratio of the first data curve and the second data curve is smaller than a first threshold value, the big data management platform sends a first compensation coefficient to the detection module so that the detection module can adjust the real-time voltage value of the flat panel display, the difference value between the real-time voltage value of the flat panel display and the preset voltage requirement value of the flat panel display is smaller than or equal to a first error value, and then the compensation coefficient of the temperature rise and the preset voltage current preset value of the flat panel display is determined so as to meet the requirement of the big data management platform on remote data compensation of the detection module.
In one example, if the difference between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is greater than the first error value, the preset voltage value of the flat panel display is continuously adjusted until the difference between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is less than or equal to the first error value, and the difference between the real-time current value of the flat panel display and the preset current value of the flat panel display can be calculated by adjusting the preset current value of the flat panel display, so as to obtain the first compensation coefficient.
In this embodiment, referring to fig. 3, the steps of the second compensation coefficient calculating method include S301 to S302, and step S301, the big data management platform generates a third data curve according to a preset voltage and real-time voltage relation table, and determines whether the second degree of coincidence between the fourth data curve generated by the real-time voltage value of the flat panel display and the third data curve is greater than or equal to a second threshold.
Step S302, if the second degree of coincidence is smaller than the second threshold, the big data management platform sends a second compensation coefficient to the detection module, so that the step adjustment value of the preset voltage value of the flat panel display is adjusted by the detection module according to the second compensation coefficient, and the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display actually reaches the preset voltage value is smaller than or equal to a second error value.
When the coincidence ratio of the second data curve and the power supply dynamic adjustment curve does not meet the second threshold value, the big data management platform sends a second compensation coefficient to the detection module so that the detection module can adjust the stepping adjustment value of the preset voltage of the flat panel display, and further the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display actually reaches the preset voltage value is smaller than or equal to the second error value, and further the compensation coefficient for determining the stepping adjustment value of the preset voltage of the flat panel display and the power supply dynamic adjustment response time is determined so as to meet the remote data compensation of the big data management platform to the detection module.
In one example, the big data management platform generates a power supply dynamic adjustment curve in real time by using a preset voltage and real-time voltage relation table, continuously changes the stepping range of the real-time voltage value and the stopvoltage value of the flat panel display, receives the time Tx from the preset voltage value to the time Ty from the real-time voltage value to the preset value, repeatedly adjusts the stepping adjustment value of the real-time voltage value until the Ty-Tx value is within the parameter range of the specification of the flat panel display, and determines the compensation coefficient of the stepping adjustment value of the preset voltage value and the power supply dynamic adjustment response time of the flat panel display. The corresponding real-time voltage value and preset voltage value can also be replaced by the real-time current value and the preset current value.
In this embodiment, referring to fig. 4, the steps of the third compensation coefficient calculating method include S401-S403, and step S401, the big data management platform receives the real-time voltage value sent by the detection module and the preset voltage value of the flat panel display; step S402, obtaining a third error value through the difference between the real-time voltage value and the preset voltage value;
step S403, performing discrete operation analysis based on the third error value to obtain a third compensation coefficient, wherein the third compensation coefficient is an accuracy compensation coefficient of the voltage preset value and the real-time voltage value.
And the big data management platform calculates the difference between the real-time voltage value and the preset voltage value according to the received real-time voltage value and the preset voltage value when the preset voltage value is regulated so as to acquire a third error value, and performs discrete operation analysis on the third error value so as to determine the precision compensation coefficient of the preset voltage value and the real-time voltage value of the flat panel display, thereby meeting the requirement of the big data management platform on remote data compensation of the detection module.
In one example, the big data management platform records the obtained error value between the real-time voltage value and the preset voltage value of the flat panel display in real time, repeatedly adjusts the preset voltage value of the flat panel display, records the error value with the real-time voltage value, and calculates the precision compensation coefficient of the preset voltage value of the flat panel display and the real-time voltage value by performing discrete operation analysis on the error value.
In one example, a distribution fitting curve y is constructed according to the error value of the real-time voltage value and the preset voltage value and the detection time, wherein y=ax τ;
Calculating the distance between an isolated point in the coordinate system and a point on the fitted curve y=ax τ under the corresponding detection time, wherein the isolated point refers to a point which is not fitted on the curve, and a specific calculation formula d i is as follows:
Predicting the abnormal value of the detection module, wherein a specific prediction formula f i is as follows:
When d i≤fi, the distance value between the isolated points and the corresponding points on the curve is smaller than or equal to the abnormal value of the detection module corresponding to the corresponding points on the curve, and the isolated point value is a normal error value; when d i≥fi, the distance value between the corresponding points on the coordinate point distance curve is larger than the abnormal value of the detection module corresponding to the corresponding point on the curve, and the isolated point value is an abnormal error value.
The abnormal part of the detection module caused by the allowable error delta and the temperature epsilon is removed;
when the solved g i values are equal, the abnormal error value satisfies And the detection module has a dependency relationship between the normal error value and the abnormal error value under the corresponding detection time, wherein h is a multiple relationship satisfied between the normal error value and the abnormal error value under the corresponding detection time of the sensor.
When the solved g i values are equal, the abnormal error value satisfiesThe compensation value of the abnormal error value is
Wherein, (1-h) can determine the compensation sign of the abnormal data, when 0<h is less than or equal to 1, the compensation sign of the abnormal error value is positive, when h >1, the compensation sign of the abnormal error value is negative,The removal of abnormal portions caused by the allowable error δ and the temperature ε is shown.
Wherein i=1, 2,3, n represents the index corresponding to the isolated point, y i represents the error value of the real-time voltage value corresponding to the i-th isolated point and the preset voltage value, X i represents the detection time corresponding to the i-th isolated point, a represents the curve coefficient, Representing solving for the maximum error allowed to exist for the sensor detection data.
When the solved g i values are all unequal, judging whether the detection data of the abnormal sensor meets the linear relation, if so, judging that the dependency relationship exists between the normal error value and the abnormal error value under the corresponding detection time of the sensor, and if not, judging that the dependency relationship does not exist between the normal error value and the abnormal error value under the corresponding detection time of the sensor.
Describing the satisfied linear relation according to the coordinates corresponding to the error value of the detection module, wherein the linear relation is: u j＝qXj +p;
where j=1, 2,3, m < n, represents coordinates corresponding to the obtained abnormal error value in the coordinate system, q is a corresponding coefficient, p is a linear intercept, u j represents the obtained jth abnormal error value, and X j represents a detection time corresponding to the obtained jth abnormal error value.
The compensation value of the abnormal error value is
In this embodiment, the big data management platform receives the real-time voltage value and the preset voltage value sent by the detection module;
And calculating deviation values of the real-time voltage value and the preset voltage value, wherein the ageing grades of the power supply devices in the detection module correspond to different deviation values, and one ageing grade corresponds to one deviation value.
According to the deviation value of the real-time voltage value and the preset voltage value, the aging degree of the power supply device is judged according to different deviation values, so that the aging degree of the power supply device is judged by obtaining the deviation value, and the aging degree of the power supply device in the detection module is further effectively predicted, and the normal operation of the detection module is ensured.
In one example, the degree of aging of the power supply device may be classified into three levels, light, medium, and heavy, respectively, in which the first standard value and the second standard value are set. When the aging degree is mild, the deviation value is smaller than or equal to a first standard value; when the aging degree is mild, the deviation value is larger than the first standard value and smaller than the second standard value; and when the aging degree is severe, the deviation value is larger than or equal to the second standard value. Wherein, the first standard value and the second standard value can be set by the user.
In this embodiment, a compensation formula is constructed according to the voltage theoretical value Y, the real-time voltage value x and the temperature rise influence coefficient of the flat panel display:
wherein K 1 is a first compensation coefficient, K 2 is a second compensation coefficient, K 3 is a third compensation coefficient, α is a corresponding weight of the first compensation coefficient, β is a corresponding weight of the second compensation coefficient, and γ is a corresponding weight of the third compensation coefficient.
And carrying out data compensation on the flat panel display according to the first compensation coefficient, the second compensation coefficient and the third compensation coefficient generated by the various error relations, and further adjusting the configuration of the large data platform and the actual detection requirement so as to meet the requirement that the detection module timely compensates various errors of the flat panel display, for example, the weight value alpha is 40%, the weight value beta is 50% and the weight value gamma is 10%.
In one example, the deviation value is an error value acceptable to the customer, and the first compensation coefficient, the second compensation coefficient and the third compensation coefficient are adjusted through the big data platform and the detection requirement of the flat panel display is adjusted according to the requirement configuration of the actual detection flat panel display.
In this embodiment, the big data management platform displays the working parameters and the data adjustment table collected by the detection module in real time through the display sign. The working parameters and the data adjustment table can be visually displayed, so that the data display is clearer and clearer.
The real-time voltage value, the preset voltage value, and the voltage adjustment value mentioned in the above example may be replaced with the real-time current value, the preset current value, and the current adjustment value, respectively.
Based on the method, the embodiment of the application discloses a data compensation system of a flat panel display, which comprises a detection module and a big data management platform, wherein the big data management platform receives working parameters sent by the detection module, generates a data adjustment table according to the working parameters, generates compensation coefficients according to the data adjustment table, and further performs data compensation on the flat panel display through the compensation coefficients, wherein the working parameters are preset voltage values, real-time voltage values and temperature rise data, and the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table.
In one example, the big data management platform generates a first data curve according to the temperature rise data and voltage data relation table, and judges whether the first coincidence degree of a second data curve generated by the real-time voltage value of the flat panel display and the first data curve is larger than or equal to a first threshold value;
If the first overlap ratio is smaller than a first threshold value, the big data management platform sends a first compensation coefficient to the detection module so that the detection module can adjust the real-time voltage value of the flat panel display according to the first compensation coefficient, and further the difference value between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is smaller than or equal to the first error value.
In one example, the big data management platform generates a third data curve according to a preset voltage and real-time voltage relation table, and judges whether the second coincidence degree of a fourth data curve generated by the real-time voltage value of the flat panel display and the third data curve is larger than or equal to a second threshold value;
if the second degree of coincidence is smaller than the second threshold value, the big data management platform sends a second compensation coefficient to the detection module so as to adjust a stepping adjustment value of a preset voltage value of the flat panel display according to the second compensation coefficient, and further the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display actually reaches the preset voltage value is smaller than or equal to a second error value.
In one example, the big data management platform receives the real-time voltage value sent by the detection module and the preset voltage value of the flat panel display; obtaining a third error value through the difference between the real-time voltage value and the preset voltage value; and performing discrete operation analysis based on the third error value to obtain a third compensation coefficient, wherein the third compensation coefficient is an accuracy compensation coefficient of the voltage preset value and the real-time voltage value.
In one example, the big data management platform receives the real-time voltage value and the preset voltage value sent by the detection module; and calculating deviation values of the real-time voltage value and a preset voltage value, wherein the aging degree of the power supply device in the detection module corresponds to different deviation values.
In one example, a compensation formula is constructed according to a voltage theoretical value Y, a real-time voltage value x and a temperature rise influence coefficient of the flat panel display:
wherein K 1 is a first compensation coefficient, K 2 is a second compensation coefficient, K 3 is a third compensation coefficient, α is a corresponding weight of the first compensation coefficient, β is a corresponding weight of the second compensation coefficient, and γ is a corresponding weight of the third compensation coefficient.
In one example, the big data management platform displays the working parameters and the data adjustment form acquired by the detection module in real time through a display sign.
Referring to fig. 2, a schematic structural diagram of an electronic device is provided in an embodiment of the present application. As shown in fig. 5, the electronic device 1 may include: at least one processor 11, at least one network interface 14, a user interface 13, a memory 15, at least one communication bus 12.
Wherein the communication bus 12 is used to enable connected communication between these components.
The user interface 13 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 13 may further include a standard wired interface and a standard wireless interface.
The network interface 14 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 11 may comprise one or more processing cores. The processor 11 connects various parts within the overall server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 15, and invoking data stored in the memory 15. Alternatively, the processor 11 may be implemented in hardware in at least one of digital signal processing (DigitalSignalProcessing, DSP), field programmable gate array (Field-ProgrammableGateArray, FPGA), and programmable logic array (ProgrammableLogicArray, PLA). The processor 11 may integrate one or a combination of several of a central processor (CentralProcessingUnit, CPU), an image processor (GraphicsProcessingUnit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 11 and may be implemented by a single chip.
The memory 15 may include a random access memory (RandomAccessMemory, RAM) or a Read-only memory (Read-only memory). Optionally, the memory 15 includes a non-transitory computer readable medium (non-transitorycomputer-readablestoragemedium). Memory 15 may be used to store instructions, programs, code sets, or instruction sets. The memory 15 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 15 may alternatively be at least one memory device located remotely from the aforementioned processor 11. As shown in fig. 5, an operating system, a network communication module, a user interface module, and an application program of a flat panel display data compensation method may be included in the memory 15 as a computer storage medium.
In the electronic device 1 shown in fig. 5, the user interface 13 is mainly used as an interface for providing input for a user, and obtains data input by the user; and the processor 11 may be used to invoke an application program in the memory 15 that stores a flat panel display data compensation method, which when executed by one or more processors, causes the electronic device to perform one or more of the methods as in the embodiments described above.
A computer readable storage medium having instructions stored thereon. When executed by one or more processors, cause a computer to perform a method such as one or more of the embodiments described above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above is merely an exemplary embodiment of the present disclosure and the scope of the present disclosure should not be limited thereto. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.
Claims (6)
1. A method for compensating data of a flat panel display, the method comprising:
the method comprises the steps that a big data management platform receives working parameters of a flat panel display, wherein the working parameters are sent by a detection module connected with the N flat panel displays with different interfaces and different display specifications, and the working parameters are preset voltage values, real-time voltage values and temperature rise data;
Generating a data adjustment table according to the working parameters, wherein the data adjustment table comprises a temperature rise data and voltage data relation table and a preset voltage and real-time voltage relation table;
Generating a compensation coefficient according to the data adjustment table, and constructing a compensation formula according to a voltage theoretical value Y, a real-time voltage value x and a temperature rise influence coefficient of the flat panel display:
；
Wherein, Is a first compensation coefficient,Is a second compensation coefficient,A third compensation coefficient,A corresponding weight for the first compensation coefficient,Corresponding weight sums for the second compensation coefficientThe corresponding weight of the third compensation coefficient; the first compensation coefficient is a compensation coefficient of temperature rise and a preset voltage and current preset value of the flat panel display; the second compensation coefficient is a compensation coefficient of a stepping adjustment value of a preset voltage value of the flat panel display and a dynamic adjustment response time of the power supply; the third compensation coefficient is an accuracy compensation coefficient of a preset voltage value and a real-time current value of the flat panel display;
The big data management platform generates a first data curve according to the temperature rise data and voltage data relation table, and judges whether the first coincidence degree of a second data curve generated by the real-time voltage value of the flat panel display and the first data curve is larger than or equal to a first threshold value;
if the first overlap ratio is smaller than the first threshold value, the big data management platform sends a first compensation coefficient to the detection module, so that the detection module can adjust the real-time voltage value of the flat panel display according to the first compensation coefficient, and the difference value between the real-time voltage value of the flat panel display and the preset voltage value of the flat panel display is smaller than or equal to a first error value;
The big data management platform generates a third data curve according to the preset voltage and real-time voltage relation table, and judges whether the second coincidence degree of a fourth data curve generated by the real-time voltage value of the flat panel display and the third data curve is larger than or equal to a second threshold value;
If the second coincidence degree is smaller than the second threshold value, the big data management platform sends a second compensation coefficient to the detection module so as to adjust a stepping adjustment value of a preset voltage value of the flat panel display according to the second compensation coefficient, and further, the difference between the time when the flat panel display actually reaches the preset voltage value and the time when the flat panel display actually reaches the preset voltage value is smaller than or equal to a second error value;
The big data management platform receives the real-time voltage value sent by the detection module and the preset voltage value of the flat panel display;
Obtaining a third error value through the difference between the real-time voltage value and the preset voltage value;
And performing discrete operation analysis based on the third error value to obtain a third compensation coefficient, wherein the third compensation coefficient is an accuracy compensation coefficient of the preset voltage value and the real-time voltage value.
2. The method according to claim 1, wherein the method further comprises:
The big data management platform receives the real-time voltage value and the preset voltage value sent by the detection module;
And calculating the deviation value of the real-time voltage value and the preset voltage value, wherein the ageing grades of the power supply devices in the detection module correspond to different deviation values, and one ageing grade corresponds to one deviation value.
3. The method according to claim 1, wherein the method further comprises:
and the big data management platform displays the working parameters acquired by the detection module and the data adjustment table in real time through a display board.
4. A flat panel display inspection system comprising an inspection module and a big data management platform, wherein the big data management platform performs the method of any of claims 1-3.
5. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory for storing instructions, the user interface and the network interface for communicating to other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform the method of any of claims 1-3.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1-3.
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| CN114783354A (en) * | 2022-03-29 | 2022-07-22 | 厦门凌阳华芯科技有限公司 | Color cast compensation method, architecture and medium |
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| US7385582B2 (en) * | 2002-08-23 | 2008-06-10 | Edwin Lyle Hudson | Temperature control and compensation method for microdisplay systems |
| JP4306637B2 (en) * | 2005-04-14 | 2009-08-05 | 三菱電機株式会社 | Modulation signal generation circuit, transmission / reception module, and radar apparatus |
| CN101361007B (en) * | 2006-07-21 | 2013-03-20 | 三菱电机株式会社 | Modulation generating circuit, transmitting and receiving module and radar installation |
| US9329614B1 (en) * | 2012-07-31 | 2016-05-03 | Cirrus Logic, Inc. | Bandgap with thermal drift correction |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JPH05119733A (en) * | 1991-10-30 | 1993-05-18 | Nec Home Electron Ltd | Liquid crystal display device |
| CN114783354A (en) * | 2022-03-29 | 2022-07-22 | 厦门凌阳华芯科技有限公司 | Color cast compensation method, architecture and medium |
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