CN117395825A - Correction software control method based on real-time LED brightness and color difference - Google Patents

Correction software control method based on real-time LED brightness and color difference Download PDF

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CN117395825A
CN117395825A CN202311578784.1A CN202311578784A CN117395825A CN 117395825 A CN117395825 A CN 117395825A CN 202311578784 A CN202311578784 A CN 202311578784A CN 117395825 A CN117395825 A CN 117395825A
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correction
brightness
real
color difference
time
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李晓宁
赵文艳
马艳荣
李立胜
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Beijing Synchronous Fengyun Technology Co ltd
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Beijing Synchronous Fengyun Technology Co ltd
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    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10Controlling the intensity of the light
    • H05B45/12Controlling the intensity of the light using optical feedback
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/20Controlling the colour of the light
    • H05B45/22Controlling the colour of the light using optical feedback
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/50Circuit arrangements for operating light-emitting diodes [LED] responsive to malfunctions or undesirable behaviour of LEDs; responsive to LED life; Protective circuits
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/175Controlling the light source by remote control
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The invention belongs to the technical field of LEDs, and particularly relates to a correction software control method based on real-time LED brightness and color difference, which comprises the following steps: step 1, LED module position calibration and pixel point mapping; step 2, collecting brightness and color difference feedback data; step 3, establishing a brightness and color difference correction model and calibration parameters; step 4, software control real-time correction strategy and algorithm design; step 5, optimizing the stability and instantaneity of the system; and 6. Automating a calibration and real-time monitoring mechanism. The invention uses high-precision measuring equipment and an image processing algorithm to ensure accurate mapping of the coordinates of the LED module; providing a high-precision photometer and a color analyzer, and acquiring and processing brightness and color difference data in real time; an automatic calibration and real-time monitoring mechanism is established, and the automatic management efficiency is improved; a feedback control algorithm and a prediction model are introduced, so that the stability of the system is improved; the universal design is suitable for different LED devices; the parallel computing and optimizing algorithm improves real-time performance.

Description

Correction software control method based on real-time LED brightness and color difference
Technical Field
The invention belongs to the technical field of LEDs, and particularly relates to a correction software control method based on real-time LED brightness and color difference.
Background
The LED module is a device for combining a plurality of LED lamps to form a module, the LED (Light Emitting Diode ) is a semiconductor device, and can convert electric energy into light energy, the LED module generally comprises a plurality of LED lamps, which can be arranged on a circuit board in a specific manner, and the LED module has the characteristics of low power consumption, high brightness, long service life, quick response and the like, the LED module is widely applied to the fields of indoor and outdoor illumination, billboards, display screens, indication lamps and the like, some LED modules also have programmable and dimming functions, the brightness and color can be changed according to requirements, the types and specifications of the LED modules are different, different types of LED modules can be selected according to the use situations and requirements, and common LED module types include a single-color LED module, a multicolor LED module, a full-color LED module, a bead heat dissipation module and the like, and related safety operation and use instructions need to be followed when the LED module is installed and used.
The existing LED module brightness and color difference software control method is fuzzy for the coordinate capture of the LED module, generally only comprises regional capture, is inconvenient for processing the acquired brightness and color difference data in real time, has poor automatic management efficiency, is unfavorable for providing the stability of a system, has poor universality and is not suitable for different LED devices, and therefore, the correction software control method based on the real-time LED brightness and color difference is provided for solving the problems.
Disclosure of Invention
The invention aims to provide a correction software control method based on real-time LED brightness and color difference, which can ensure accurate mapping of LED module coordinates by using high-precision measurement equipment and an image processing algorithm; providing a high-precision photometer and a color analyzer, and acquiring and processing brightness and color difference data in real time; an automatic calibration and real-time monitoring mechanism is established, and the automatic management efficiency is improved; a feedback control algorithm and a prediction model are introduced, so that the stability of the system is improved; the universal design is suitable for different LED devices; the parallel computing and optimizing algorithm improves real-time performance.
The technical scheme adopted by the invention is as follows:
a correction software control method based on real-time LED brightness and color difference, the software control method comprising the steps of:
step 1, LED module position calibration and pixel point mapping;
step 2, collecting brightness and color difference feedback data;
step 3, establishing a brightness and color difference correction model and calibration parameters;
step 4, software control real-time correction strategy and algorithm design;
step 5, optimizing the stability and instantaneity of the system;
step 6, automating a calibration and real-time monitoring mechanism;
step 7, calculating and optimizing algorithm efficiency in parallel;
step 8, cross-platform and universality design;
and 9, performance monitoring and remote management functions.
In a preferred scheme, the position calibration and pixel mapping of the LED module are calibration and accurate mapping of the pixel points, the high-precision measuring equipment, the laser range finder and the high-precision measuring instrument are used for measuring the position of the LED module, the acquired position data are corrected and refined by combining an image processing algorithm, the coordinate position of each pixel point can be accurately mapped into a software system by adopting a calibration algorithm such as perspective transformation and nonlinear mapping, the coordinate position of the LED module is associated with the pixel point, and the coordinate position is stored in the software system for subsequent operation of real-time correction.
In a preferred scheme, the collecting brightness and color difference feedback data is collecting brightness and color difference feedback data of the LED module, and is provided with a high-precision photometer, a color analyzer and other sensor devices for obtaining the brightness and color difference data of the LED module in real time, setting sampling frequency and sampling number to ensure that enough data samples are obtained, combining filtering and averaging technologies, processing the collected data to reduce the influence of noise and interference, and transmitting the processed brightness and color difference data to a software system for generating and executing a subsequent correction strategy.
In a preferred scheme, the establishment of the brightness and color difference correction model and the calibration parameters are based on the acquired brightness and color difference data, the brightness and color difference correction model is required to be established, corresponding calibration parameters are generated to achieve an accurate correction effect, the acquired data are compared and analyzed with the reference standard of the LED module to establish the brightness and color difference correction model, the mathematical model is adopted, the mathematical model is one or more of polynomial regression, a high-order neural network or a support vector machine to accurately model the relationship between brightness and color difference, model training and optimization are performed to improve the accuracy and generalization capability of the model, and the brightness and color calibration parameters of the LED module are generated according to the model obtained by training and are used for subsequent real-time correction operation.
In a preferred scheme, the software-controlled real-time correction strategy and algorithm are designed to realize real-time brightness and color difference correction of the LED module, the corresponding strategy and algorithm are designed and embedded into the software control system, the divided areas and sub-areas of the LED module are defined, an independent correction strategy and algorithm are set for each area, a specific area to be subjected to brightness and color adjustment is determined according to a pre-provided coordinate position, a correction target value is set, a correction value to be applied is calculated according to a correction model and a correction parameter, so that brightness and color difference adjustment accurate to pixel points is realized, and a proper correction algorithm is selected according to brightness and color characteristics of different areas and pixel points, wherein the correction algorithm is one or more of Gamma correction and color correction matrixes so as to ensure the best correction effect.
In a preferred scheme, the stability and instantaneity of the optimization system are that the stability and instantaneity of the optimization system are required to be optimized in the process of real-time correction of the brightness and chromatic aberration of the LED module so as to ensure the accuracy and reliability of the correction effect, a feedback control algorithm is introduced, the brightness and chromatic aberration of the LED module is monitored in real time, the brightness and chromatic aberration are dynamically adjusted according to actual conditions, a self-adaptive control technology is used, correction strategies and parameters are automatically adjusted according to environmental changes and performance drift of the LED module so as to ensure the long-term stability of the correction effect, a prediction algorithm and a model are combined to predict the future state of the LED module, the brightness and chromatic aberration are corrected in advance so as to maintain the stability of the system to the maximum extent, and a parallel computing and high-performance processing technology is introduced so as to improve the calculation efficiency and real-time performance of the correction algorithm and ensure sensitive and accurate correction control.
In a preferred scheme, the automatic calibration and real-time monitoring mechanism is used for establishing the automatic calibration and real-time monitoring mechanism so as to maintain the accuracy and stability of the correction effect, the automatic calibration mechanism is designed, the calibration process is triggered periodically or according to the requirement, the correction model and parameters are updated so as to adapt to the performance drift and change of the LED module, the running state and environment change of the LED module are monitored in real time, the parameters such as temperature, humidity and illumination are detected by using a sensor and a monitoring system, the real-time monitoring system is established, an alarm is sent out when the abnormal condition is detected, and corresponding measures are taken, including recalibration and adjustment of the correction strategy so as to avoid the deviation of brightness and chromatic aberration.
In a preferred scheme, the parallel computing and optimizing algorithm efficiency is that a parallel computing technology is used, the computing process of the brightness and color difference correction algorithm is accelerated through distributed computing and multithreading, the computing efficiency of the optimizing algorithm is optimized, and the brightness and color difference can be quickly responded and adjusted in the real-time correction process.
In a preferred scheme, the cross-platform and universal design is to design a correction algorithm and a software system according to the universal design so as to adapt to LED modules and display equipment of different types and specifications, and the cross-platform compatibility is considered, so that the correction method is ensured to be applicable to various operating systems and hardware platforms.
In a preferred scheme, the performance monitoring and remote management function is an integrated performance monitoring system, the correction effect and the performance index of the LED module are monitored in real time, the performance monitoring and remote management function comprises brightness uniformity and color accuracy, the remote management function is realized, correction parameters are remotely accessed and adjusted through a network, and therefore operation and maintenance personnel can conveniently monitor and manage the LED display system.
The invention has the technical effects that:
through position calibration and pixel mapping, high-precision measuring equipment and an image processing algorithm are used, so that the coordinate position of an LED module can be accurately mapped into a software system, the correction accuracy is improved, sensor equipment such as a high-precision photometer, a color analyzer and the like are equipped for collecting brightness and color difference feedback data, the data are processed by adopting a filtering and averaging technology, the brightness and color difference data are obtained and processed in real time, and the real-time correction is ensured;
an automatic calibration and real-time monitoring mechanism is established, the running state and the environment change of the LED module are detected through the sensor, the real-time monitoring system can be remotely managed when abnormal conditions are found, the automation degree and the management efficiency of the system are improved, a feedback control algorithm and a self-adaptive control technology are introduced, the future state of the LED module is predicted by combining a prediction algorithm and a model, and the stability of the system is improved;
the correction algorithm and the software system are designed according to universality so as to adapt to LED modules and display equipment of different types and specifications, cross-platform compatibility is considered, the universal applicability of the method is improved, the calculation process of the brightness and color difference correction algorithm can be responded and accelerated rapidly in the real-time correction process through parallel calculation and optimization algorithm efficiency, and the calculation efficiency and the real-time performance of the system are improved.
Drawings
Fig. 1 is a schematic diagram of a correction software control method based on real-time LED brightness and color difference according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
Referring to fig. 1, the invention provides a correction software control method based on real-time LED brightness and color difference, the software control method comprising the following steps:
step 1, LED module position calibration and pixel point mapping;
step 2, collecting brightness and color difference feedback data;
step 3, establishing a brightness and color difference correction model and calibration parameters;
step 4, software control real-time correction strategy and algorithm design;
step 5, optimizing the stability and instantaneity of the system;
step 6, automating a calibration and real-time monitoring mechanism;
step 7, calculating and optimizing algorithm efficiency in parallel;
step 8, cross-platform and universality design;
and 9, performance monitoring and remote management functions.
The LED module position calibration and pixel point mapping are performed by calibrating the position of the LED module and accurately mapping the pixel points, the position of the LED module is measured by using high-precision measuring equipment, a laser range finder and a high-precision measuring instrument, the acquired position data is corrected and refined by combining an image processing algorithm, the coordinate position of each pixel point can be accurately mapped into a software system by adopting a calibration algorithm such as perspective transformation and nonlinear mapping, the coordinate position of the LED module is associated with the pixel points, and the coordinate position is stored in the software system for subsequent real-time correction operation;
collecting brightness and color difference feedback data, namely collecting the brightness and color difference feedback data of an LED module, providing sensor equipment such as a high-precision photometer, a color analyzer and the like for acquiring the brightness and color difference data of the LED module in real time, setting sampling frequency and sampling point number to ensure that enough data samples are acquired, processing the collected data by combining filtering and averaging technologies to reduce the influence of noise and interference, transmitting the processed brightness and color difference data to a software system for generating and executing a subsequent correction strategy;
establishing a brightness and color difference correction model and calibration parameters based on acquired brightness and color difference data, establishing the brightness and color difference correction model, generating corresponding calibration parameters to realize accurate correction effect, comparing and analyzing the acquired data with reference standards of an LED module, establishing the brightness and color difference correction model, adopting a mathematical model which is a polynomial regression, a high-order neural network or a support vector machine to accurately model the relationship between brightness and color difference, performing model training and optimization to improve the accuracy and generalization capability of the model, and generating brightness and color calibration parameters of the LED module according to the model obtained by training for subsequent real-time correction operation;
the method comprises the steps that software control real-time correction strategies and algorithms are designed to achieve real-time brightness and color difference correction of an LED module, corresponding strategies and algorithms are required to be designed, the strategies and algorithms are embedded into a software control system, dividing areas and subareas of the LED module are defined, independent correction strategies and algorithms are set for each area, a specific area for brightness and color adjustment is determined according to a coordinate position provided in advance, correction target values of the specific area are set, correction values required to be applied are calculated according to a correction model and correction parameters, brightness and color difference adjustment accurate to pixel points is achieved, and proper correction algorithms are selected according to brightness and color characteristics of different areas and pixel points, and are Gamma correction and color correction matrixes so that best correction effects are guaranteed;
optimizing the stability and instantaneity of the system, namely, in the process of correcting the brightness and the chromatic aberration of the LED module in real time, the stability and instantaneity of the system are required to be optimized to ensure the accuracy and reliability of the correction effect, introducing a feedback control algorithm, monitoring the brightness and the chromatic aberration of the LED module in real time, dynamically adjusting the brightness and the chromatic aberration according to actual conditions, automatically adjusting correction strategies and parameters according to environmental changes and the performance drift of the LED module by using an adaptive control technology to ensure the long-term stability of the correction effect, predicting the future state of the LED module by combining a prediction algorithm and a model, correcting the brightness and the chromatic aberration in advance to maintain the stability of the system to the maximum extent, introducing a parallel computing and high-performance processing technology to improve the computing efficiency and the real-time performance of the correction algorithm, and ensuring sensitive and accurate correction control;
the automatic calibration and real-time monitoring mechanism is used for establishing the automatic calibration and real-time monitoring mechanism so as to maintain the accuracy and stability of the correction effect, designing the automatic calibration mechanism, triggering the calibration process periodically or according to the need, updating the correction model and parameters so as to adapt to the performance drift and change of the LED module, monitoring the running state and environment change of the LED module in real time, using the sensor and the monitoring system to detect the parameters such as temperature, humidity, illumination and the like, establishing the real-time monitoring system, sending an alarm when the abnormal condition is detected, and taking corresponding measures including recalibration and adjustment of the correction strategy so as to avoid the deviation of brightness and color difference;
the parallel computing and optimizing algorithm efficiency is that a parallel computing technology is used, the computing process of the brightness and color difference correction algorithm is accelerated through distributed computing and multithreading, the computing efficiency of the algorithm is optimized, and the brightness and color difference can be quickly responded and adjusted in the real-time correction process;
the cross-platform and the universality are designed to design a correction algorithm and a software system according to the universality so as to adapt to LED modules and display equipment of different types and specifications, and the cross-platform compatibility is considered, so that the correction method is ensured to be applicable to various operating systems and hardware platforms;
the performance monitoring and remote management function is an integrated performance monitoring system, the correction effect and the performance index of the LED module are monitored in real time, the brightness uniformity and the color accuracy are included, the remote management function is realized, correction parameters are remotely accessed and adjusted through a network, and therefore operation and maintenance personnel can conveniently monitor and manage the LED display system.
According to the invention, through position calibration and pixel point mapping, high-precision measuring equipment and an image processing algorithm are used, the coordinate position of an LED module can be accurately mapped into a software system, the correction accuracy is improved, sensor equipment such as a high-precision photometer, a color analyzer and the like are equipped for collecting brightness and color difference feedback data, filtering and averaging technologies are adopted for processing the data, real-time acquisition and processing of brightness and color difference data are ensured, real-time correction is ensured, an automatic calibration and real-time monitoring mechanism is established, the running state and environmental change of the LED module are detected through the sensor, a real-time monitoring system can be remotely managed when abnormal conditions are found, the automation degree and management efficiency of the system are improved, a feedback control algorithm and an adaptive control technology are introduced, the future state of the LED module is predicted by combining a prediction algorithm and a model, the stability of the system is improved, the correction algorithm and the software system are designed according to the universality, the cross-platform compatibility is considered, the universality of the method is improved, the real-time correction algorithm and the calculation efficiency is improved, the real-time correction algorithm and the calculation algorithm performance of the real-time correction algorithm is improved, and the real-time correction algorithm can be quickly responded and the color difference and the calculation efficiency is accelerated in the real-time correction process.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.

Claims (10)

1. A correction software control method based on real-time LED brightness and color difference is characterized in that: the software control method comprises the following steps:
step 1, LED module position calibration and pixel point mapping;
step 2, collecting brightness and color difference feedback data;
step 3, establishing a brightness and color difference correction model and calibration parameters;
step 4, software control real-time correction strategy and algorithm design;
step 5, optimizing the stability and instantaneity of the system;
step 6, automating a calibration and real-time monitoring mechanism;
step 7, calculating and optimizing algorithm efficiency in parallel;
step 8, cross-platform and universality design;
and 9, performance monitoring and remote management functions.
2. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the LED module position calibration and pixel point mapping are used for calibrating the position of the LED module and accurately mapping the pixel points, high-precision measuring equipment, a laser range finder and a high-precision measuring instrument are used for measuring the position of the LED module, an image processing algorithm is combined for correcting and accurately obtaining position data, a calibration algorithm such as perspective transformation and nonlinear mapping is adopted for ensuring that the coordinate position of each pixel point can be accurately mapped into a software system, the coordinate position of the LED module is associated with the pixel point, and the coordinate position is stored in the software system for subsequent real-time correction operation.
3. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the method comprises the steps of collecting brightness and color difference feedback data, providing high-precision photometer, color analyzer and other sensor equipment for acquiring the brightness and color difference data of an LED module in real time, setting sampling frequency and sampling point number to ensure that enough data samples are acquired, processing the collected data by combining filtering and averaging technologies to reduce the influence of noise and interference, and transmitting the processed brightness and color difference data to a software system for generating and executing a subsequent correction strategy.
4. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the method comprises the steps of establishing a brightness and color difference correction model and calibration parameters based on collected brightness and color difference data, establishing the brightness and color difference correction model, generating corresponding calibration parameters to achieve an accurate correction effect, comparing and analyzing the collected data with reference standards of an LED module, establishing the brightness and color difference correction model, and adopting a mathematical model, wherein the mathematical model is one or more of polynomial regression, a high-order neural network or a support vector machine, and is used for accurately modeling the relation between brightness and color difference, performing model training and optimization to improve the accuracy and generalization capability of the model, and generating brightness and color calibration parameters of the LED module according to the trained model for subsequent real-time correction operation.
5. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the software control real-time correction strategy and algorithm are designed to realize real-time brightness and color difference correction of the LED module, the corresponding strategy and algorithm are required to be designed and are embedded into the software control system, the dividing area and the subarea of the LED module are defined, an independent correction strategy and algorithm are set for each area, a specific area for brightness and color adjustment is determined according to a coordinate position provided in advance, a correction target value is set, a correction value to be applied is calculated according to a correction model and a correction parameter, so that brightness and color difference adjustment accurate to pixel points is realized, a proper correction algorithm is selected according to brightness and color characteristics of different areas and pixel points, and the correction algorithm is one or more of Gamma correction and color correction matrixes so as to ensure optimal correction effect.
6. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the stability and instantaneity of the optimization system are that in the process of real-time correction of the brightness and the chromatic aberration of the LED module, the stability and instantaneity of the optimization system are required to ensure the accuracy and reliability of the correction effect, a feedback control algorithm is introduced, the brightness and the chromatic aberration of the LED module are monitored in real time, the brightness and the chromatic aberration are dynamically adjusted according to actual conditions, a self-adaptive control technology is used, correction strategies and parameters are automatically adjusted according to environmental changes and performance drift of the LED module, long-term stability of the correction effect is ensured, a prediction algorithm and a model are combined, future states of the LED module are predicted, the brightness and the chromatic aberration are corrected in advance, the stability of the system is maintained to the maximum extent, and parallel computing and high-performance processing technologies are introduced, so that the computing efficiency and the real-time performance of the correction algorithm are improved, and sensitive and accurate correction control is ensured.
7. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the automatic calibration and real-time monitoring mechanism is used for establishing the automatic calibration and real-time monitoring mechanism so as to maintain the accuracy and stability of the correction effect, designing the automatic calibration mechanism, triggering the calibration process periodically or according to the need, updating the correction model and parameters so as to adapt to the performance drift and change of the LED module, monitoring the running state and environment change of the LED module in real time, using the sensor and the monitoring system to detect the parameters such as temperature, humidity, illumination and the like, establishing the real-time monitoring system, sending out an alarm when the abnormal condition is detected and taking corresponding measures including recalibration and adjustment of the correction strategy so as to avoid the deviation of brightness and chromatic aberration.
8. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the parallel computing and optimizing algorithm efficiency is that a parallel computing technology is used, the computing process of the brightness and color difference correcting algorithm is accelerated through distributed computing and multithreading, the computing efficiency of the optimizing algorithm is ensured, and the brightness and color difference can be responded and adjusted quickly in the real-time correcting process.
9. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the cross-platform and universality design is to design a correction algorithm and a software system according to the universality so as to adapt to LED modules and display equipment of different types and specifications, and the cross-platform compatibility is considered, so that the correction method is ensured to be applicable to various operating systems and hardware platforms.
10. The method for controlling correction software based on real-time LED brightness and color difference according to claim 1, wherein: the performance monitoring and remote management functions are integrated performance monitoring systems, the correction effect and the performance index of the LED module are monitored in real time, the brightness uniformity and the color accuracy are included, the remote management functions are realized, correction parameters are accessed and adjusted remotely through a network, and therefore operation and maintenance personnel can monitor and manage the LED display system conveniently.
CN202311578784.1A 2023-11-24 2023-11-24 Correction software control method based on real-time LED brightness and color difference Pending CN117395825A (en)

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