Correction method and system for corrected LED display screen

Abstract

The embodiment of the invention provides a correction method and system for a corrected LED display screen, and belongs to the field of display screen correction. The method comprises the steps that a vibration signal of the LED display screen is monitored, if acoustic abnormity exists, thermal image linkage scanning is triggered to lock a fault area, a spraying mechanism is controlled to spray a substrate repairing material on the fault area, pre-curing treatment is carried out, a laser reaction restraint layer is formed, and conductive repairing is carried out; performing primary verification, and performing dynamic compensation on the display consistency according to the geometric correction mapping table and the brightness and chrominance compensation parameters; and acoustic suppression optimization is carried out on the fault area, secondary verification is carried out, and correction is completed until the secondary verification reaches the standard or reaches the maximum number of iterations. Through the multi-mode sensing fusion and intelligent repair technology, efficient and accurate maintenance of the LED display screen is realized, the maintenance efficiency of the LED display screen can be improved, the service life of the display screen is prolonged, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of display screen correction, and particularly relates to a correction method and system for an LED display screen after correction. Background Art

[0002] The light-emitting diode (LED) display technology has undergone three major evolutions: from early monochromatic indicating devices, to the popularization of surface-mounted device (SMD) full-color display screens for civilian use, until the current miniaturized chip-level packaging (such as COB / IMD) promotes the breakthrough of Mini / Micro LED ultra-high-definition displays. This process has always developed around three core axes: the improvement of optoelectronic efficiency, the leap of pixel density, and the expansion of dynamic range. In recent years, with the breakthrough development of Mini / Micro LED technology, the pixel density and brightness indicators of display screens have been significantly improved, but the reliability challenges brought by the precision structure have become increasingly prominent. In terms of vibration environment adaptability, the mainstream technology realizes basic vibration monitoring by installing an acceleration sensor on the backplane, and constructs a resonance frequency avoidance model through finite element simulation; while in the field of physical damage repair, existing research focuses on two types of paths: one is the pneumatic spraying repair based on nano-silver paste, whose curing temperature needs to be above 200°C, which is easy to cause thermal deformation; the other is the laser-induced graphene technology, which can achieve room temperature repair but has the defect of insufficient adhesion of the conductive layer. More critically, the current compensation system mostly relies on the static mapping of pre-correction parameters and lacks a response mechanism for the dynamic evolution of local deformation and optoelectronic characteristics after repair. Summary of the Invention

[0003] The purpose of the present invention is to provide a correction method and system for an LED display screen after correction, which is used for display correction integrating acoustic monitoring, laser repair, and dynamic compensation of the LED display screen.

[0004] To achieve the above purpose, the present invention provides a correction method for an LED display screen after correction, including: monitoring the vibration signal of the LED display screen, and judging whether there is an acoustic anomaly according to the vibration signal. If there is the acoustic anomaly, triggering a thermal imaging linkage scan to lock the fault area; positioning the fault area, controlling a spraying mechanism to spray a base repair material on the fault area and performing pre-curing treatment to form a laser reaction constraint layer; controlling an ultra-short pulse laser to scan the laser reaction constraint layer along a preset path and performing conductive repair; performing a first verification to verify the effect of the conductive repair, and generating a geometric correction mapping table and brightness and chromaticity compensation parameters, and dynamically compensating the display consistency according to the geometric correction mapping table and the brightness and chromaticity compensation parameters; performing acoustic suppression optimization on the fault area and performing a second verification. If the result of the second verification does not meet the standard, triggering iterative correction until the second verification meets the standard or the maximum number of iterations is reached and then the correction is completed.

[0005] Optionally, monitoring the vibration signal of the LED display screen and determining whether there is an acoustic anomaly based on the vibration signal includes: collecting the vibration sensor signal and performing short-time Fourier transform on the vibration signal; calculating the distribution density of the vibration energy on the frequency axis, identifying the highest peak point of the distribution density, and recording the frequency value and amplitude of the highest peak point; when the amplitude of the highest peak point exceeds the set acoustic fault trigger threshold, it is determined that there is an acoustic anomaly in the LED display screen.

[0006] Optionally, if there is the acoustic anomaly, triggering thermal imaging linkage scanning to lock the fault area, including: if there is an acoustic anomaly in the LED display screen, starting the infrared thermal imager to perform full-screen scanning, obtaining the real-time temperature of each pixel point on the full screen, and aligning the thermal image data with the time stamp at the moment of the acoustic anomaly; for each pixel point, reading the current real-time temperature value of the pixel point, reading the no-signal scanning temperature of the corresponding pixel point from the set temperature baseline, and calculating the temperature difference of the pixel point; when the temperature difference of the pixel point is greater than the set temperature difference threshold, marking it as a high-temperature pixel point; merging adjacent high-temperature pixel points through a connected component analysis algorithm to form an independent thermal anomaly area; calculating the center position coordinates of the independent thermal anomaly area and counting all pixel coordinates within the independent thermal anomaly area, and obtaining the fault area through cross-validation rules.

[0007] Optionally, positioning the fault area, controlling the spraying mechanism to spray the substrate repair material in the fault area and performing pre-curing treatment to form a laser reaction confinement layer, including: controlling the optical camera integrated on the robotic arm to move directly above the center position coordinates of the fault area, and controlling the camera to capture a local image; using a feature matching algorithm to compare the local image with the baseline calibration grid image and calculating the fault point offset; converting the center position coordinates into physical coordinates in the spraying mechanism coordinate system, controlling the spraying mechanism to move to the physical coordinates, and spraying the substrate repair material in the fault area, and performing hot air pre-curing treatment after the spraying is completed to form a laser reaction confinement layer on the surface of the fault area.

[0008] Optionally, controlling the ultra-short pulse laser to scan the laser reaction confinement layer along a preset path and performing conductive repair, including: setting laser parameters and safety upper limit values based on the characteristics of the substrate repair material; controlling the laser head robotic arm to move directly above the physical coordinates; adjusting the height of the laser head from the surface of the laser reaction confinement layer; scanning the laser reaction confinement layer layer by layer along the Hilbert path.

[0009] Optionally, perform the one-time verification to verify the effect of the conductive repair, generate a geometric correction mapping table and brightness and chrominance compensation parameters, and perform dynamic compensation on the display consistency according to the geometric correction mapping table and the brightness and chrominance compensation parameters, including: verifying the effect of the conductive repair through multimodal verification; obtaining an offset based on the multimodal verification, performing local compensation mapping to obtain a geometric correction mapping table; taking the center of the area repaired by conduction as the origin, setting a Gaussian weight based on the optical deviation value obtained by the multimodal verification, and calculating a brightness and chrominance compensation driving value; correcting pixel coordinates according to the geometric correction mapping table, and performing brightness and chrominance compensation on the corrected pixel coordinates according to the brightness and chrominance compensation driving value.

[0010] Optionally, the multimodal verification includes: electrical verification, acoustic verification, geometric verification, and optical consistency verification.

[0011] Optionally, performing acoustic suppression optimization on the faulty area includes: collecting the original vibration signal of the current screen body and calculating the channel transfer function; calculating an inverse compensation gain based on the channel transfer function; generating a reverse vibration signal with a phase opposite to that of the original vibration signal based on the inverse compensation gain, and driving an acoustic driver to output the reverse vibration signal.

[0012] Optionally, perform the secondary verification. If the result of the secondary verification does not meet the standard, trigger iterative correction until the secondary verification meets the standard or the maximum number of iterations is reached and then complete the correction, including: controlling the LED display screen to display a test pattern, and using an optical camera and a spectrophotometer to measure the display effect of the dynamically compensated LED display screen; if the values of the display effect measurement are all within the set range, determine that the result of the secondary verification meets the standard, otherwise determine that the result of the secondary verification does not meet the standard; if the result of the secondary verification does not meet the standard, perform iterative correction until the secondary verification meets the standard or the maximum number of iterations is reached.

[0013] On the other hand, the present invention provides a correction system for a corrected LED display screen, which is used to implement the correction method for the corrected LED display screen. The system includes a control module. The control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the correction method for the corrected LED display screen.

[0014] Through the multi-modal sensing fusion and intelligent repair technology, the above technical solution realizes the efficient and accurate maintenance of the LED display screen. By combining vibration monitoring with thermal imaging positioning, the acoustic anomaly area can be quickly locked and a three-dimensional repair coordinate system can be established; a composite process of substrate spraying and ultra-short pulse laser scanning is adopted to realize the reconstruction of the conductive path in non-contact repair; through the geometric correction mapping and Gaussian weighted chromaticity compensation algorithm, the display distortion caused by pixel offset can be effectively eliminated; through the two-stage verification mechanism and iterative optimization, the display uniformity and color consistency after repair are significantly improved, and the vibration noise is effectively suppressed at the same time. This solution can improve the maintenance efficiency, extend the service life of the display screen and reduce the operation and maintenance costs.

[0015] Other features and advantages of the present invention will be described in detail in the following specific implementation part. Brief Description of the Drawings

[0016] The drawings are used to provide a further understanding of the embodiments of the present invention, and constitute a part of the specification. They are used to explain the embodiments of the present invention together with the following specific implementation manners, but do not constitute a limitation to the embodiments of the present invention. In the drawings: Figure 1 is the correction flow chart of the corrected LED display screen.

[0017] Figure 2 is the flowchart for marking the fault area. Detailed Description of the Invention

[0018] The following will be described in detail the specific implementation manners of the embodiments of the present invention in conjunction with the attached Figure 1 - attached Figure 2 The specific implementation manners of the embodiments of the present invention will be described in detail. It should be understood that the specific implementation manners described herein are only used to illustrate and explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention.

[0019] It should be noted that the acquisition, transmission, storage, use, processing, etc. of data in the technical solution of the present application all comply with the relevant regulations of national laws and regulations. In the embodiments of the present application, some industry-existing solutions such as certain software, components, models, etc. may be mentioned. They should be regarded as exemplary, and their purpose is only to illustrate the feasibility in the implementation of the technical solution of the present application, but it does not mean that the applicant has already or necessarily used this solution.

[0020] The inventors of the present application found in the process of implementing the present invention that in the prior art, there are the following deficiencies: there is a lack of acoustic monitoring means for abnormal vibration, and potential faults cannot be detected in time; fault location mainly relies on manual investigation, with poor accuracy and easy omission; after repair, there is a lack of an automated geometric mapping and brightness and chromaticity dynamic compensation mechanism, resulting in obvious differences in the display effects (such as position, brightness, color) between the repaired area and the surrounding areas, affecting the overall consistency.

[0021] Embodiment 1 Reference Figures 1 - 2 , which is the first embodiment of the present invention. This embodiment provides a correction method for a corrected LED display screen, including: S100: Monitor the vibration signal of the LED display screen, and determine whether there is an acoustic anomaly according to the vibration signal. If there is the acoustic anomaly, trigger a thermal imaging linkage scan to lock the fault area.

[0022] Furthermore, collect the vibration sensor signal, and perform a short-time Fourier transform on the vibration signal; calculate the distribution density of the vibration energy on the frequency axis, identify the highest peak point of the distribution density, and record the frequency value and amplitude of the highest peak point; when the amplitude of the highest peak point exceeds the set acoustic fault trigger threshold, it is determined that there is an acoustic anomaly in the LED display screen.

[0023] Specifically, the vibration signal of the display screen is collected in real time through vibration sensors installed on the LED display screen, such as accelerometers, microphone arrays, etc. Perform a short-time Fourier transform (STFT, Short-Time Fourier Transform) on the collected original vibration signal to convert the time-domain signal into a frequency-domain signal and analyze the distribution of the vibration signal in the time-frequency dimension.

[0024] Furthermore, calculate the distribution density of the vibration energy, analyze the frequency spectrum to identify the distribution of the vibration energy on the frequency axis. By finding the highest peak point in the distribution density, record the frequency value and amplitude of the highest peak point. If the amplitude exceeds the preset acoustic fault trigger threshold, it is determined that there is an acoustic anomaly (only for conductive faults, mechanical faults are not considered here).

[0025] Furthermore, if there is an acoustic anomaly in the LED display screen, start an infrared thermal imager to perform a full-screen scan, obtain the real-time temperature of each pixel point on the full screen, and align the thermal image data with the timestamp at the moment of the acoustic anomaly; for each pixel point, read the current real-time temperature value of the pixel point, read the no-signal scan temperature of the corresponding pixel point from the set temperature baseline, and calculate the temperature difference of the pixel point; when the temperature difference of the pixel point is greater than the set temperature difference threshold, mark it as a high-temperature pixel point; merge adjacent high-temperature pixel points through a connected component analysis algorithm to form an independent thermal anomaly area; calculate the central position coordinates of the independent thermal anomaly area, and count all pixel coordinates within the independent thermal anomaly area to obtain the fault area through cross-validation rules.

[0026] Specifically, once an acoustic anomaly is detected, the infrared thermal imager will be automatically activated. The infrared thermal imager performs a full-screen scan on the LED display screen to obtain the real-time temperature data of all pixel points on the entire screen. At the same time, it is necessary to ensure that the time stamp of the temperature data obtained by the thermal imaging scan is aligned with the time stamp of the moment when this acoustic anomaly is determined (precise alignment is not required).

[0027] In a preferred embodiment of the present application, for each pixel point data obtained by the full-screen scan, it is necessary to read the current real-time temperature value of this pixel point, and retrieve the normal temperature value (based on the temperature baseline) at the same position in the no-signal scan state from the pre-stored temperature baseline database, and calculate the temperature difference between the current real-time temperature value of this pixel point and the normal temperature value retrieved from the pre-stored temperature baseline database at the same position in the no-signal scan state. The calculation formula for the temperature difference is as follows:

[0028] Wherein, represents the temperature difference, represents the current real-time temperature value, represents the normal temperature value at the same position in the no-signal scan state.

[0029] Furthermore, if the temperature difference is greater than the pre-set temperature difference threshold, then this pixel point will be marked as a high-temperature pixel point.

[0030] Preferably in the embodiment of the present application, the connected component analysis algorithm is used, such as the region growing method, the 8-neighborhood method, etc., to merge adjacent high-temperature pixel points to form independent thermal anomaly regions. Calculate the central position coordinates (geometric center) of each independent thermal anomaly region, and count all pixel coordinates within each independent thermal anomaly region.

[0031] If both an acoustic anomaly and high-temperature pixel points exist within the region, then this region will be marked as a fault region; if only an acoustic anomaly or only high-temperature pixel points exist within the region, then they will enter acoustic suppression or automatic temperature diagnosis respectively.

[0032] Preferably, in the embodiment of the present application, through real-time monitoring by a vibration sensor, anomalies (peak values of abnormal vibration energy) can be detected in the early stage or even the budding stage of a fault (especially a conductive fault), detecting problems earlier than traditional pure thermal imaging or visual detection. By comparing the real-time temperature with the no-signal scan baseline, high-temperature pixel points are identified, and then merged into independent thermal anomaly regions through connected component analysis. Combining the acoustic anomaly information (only marked as a fault region when both acoustic and thermal anomalies exist) greatly improves the accuracy of fault region positioning and avoids misjudgment (for example, only temperature anomalies may be normal heat sources, and only acoustic anomalies may be excluded).

[0033] S200: Locate the faulty area, control the spraying mechanism to spray the substrate repair material on the faulty area and perform pre-curing treatment to form a laser reaction constraint layer.

[0034] Further, control the optical camera integrated on the robotic arm to move directly above the central position coordinates of the faulty area, and control the camera to capture a local image; use a feature matching algorithm to compare the local image with the baseline calibration grid image, and calculate the offset of the fault point; convert the central position coordinates into physical coordinates in the coordinate system of the spraying mechanism, control the spraying mechanism to move to the physical coordinates, and spray the substrate repair material on the faulty area. After the spraying is completed, perform hot air pre-curing treatment to form a laser reaction constraint layer on the surface of the faulty area.

[0035] Specifically, control the integrated robotic arm to move the optical camera directly above the central position coordinates of the faulty area, i.e., the vertical projection point on the Z-axis, and control the optical camera to capture a local high-definition image of the faulty area (resolution ≥ 5μm / pixel). Use feature matching algorithms such as SIFT (Scale-Invariant Feature Transform) or ORB (Oriented FAST and Rotated BRIEF) to compare the captured local image with the pre-stored baseline calibration grid image (the reference image in the fault-free state), calculate the pixel-level offset between the actual position and the theoretical position of the fault point, and based on the pixel-level offset, convert the central position coordinates of the faulty area into physical coordinates in the coordinate system of the spraying mechanism. The coordinate conversion formula is as follows:

[0036] Among them, the physical coordinates represent the three-dimensional space coordinates in the coordinate system of the execution terminal, and the theoretical coordinates represent the central position coordinates of the determined faulty area. represents the pose transformation matrix, and s represents the spatial resolution, the physical size corresponding to a single pixel. represents the pixel-level offset.

[0037] Further, control the spraying mechanism to carry the nozzle to move precisely directly above the corrected physical coordinate position and ensure that the spraying mechanism is perpendicular to the screen surface. Set the parameters of the spraying mechanism according to the spraying material, including spraying pressure, nozzle height, spraying path, etc. Spray the substrate repair material on the faulty area. The substrate repair material uses a nano-silver conductive composite material, and the spraying coverage range needs to exceed the fault boundary by 1mm.

[0038] Preferably, in the embodiment of the present application, a controllable warm air gun (with a temperature of 80°C to 120°C and a wind speed of 2 m / s to 4 m / s) is used to pre-cure (not fully cure) the spraying area for 10 seconds to 30 seconds. After pre-curing, a laser reaction constraint layer with a porous structure is formed on the surface of the fault area. The thickness of the laser reaction constraint layer is 50 μm to 100 μm (uniformity error ≤ ±5 μm), and the porosity is 20% to 30% (ensuring subsequent localized laser energy reaction).

[0039] Preferably, based on the physical coordinates of precise positioning, the spraying mechanism is controlled to accurately move above the target position to ensure that the nano-silver conductive composite material can accurately cover the fault area, providing a uniform and continuous conductive material layer for repair. The pre-curing treatment can form a porous laser reaction constraint layer with a specific porosity and thickness. The specific pore structure can not only ensure the subsequent localized laser energy reaction, but also avoid excessive material diffusion, and can improve the adhesion of the material after spraying, providing a flat and controllable processing surface for laser scanning and avoiding unstable repair quality caused by material thickness fluctuations.

[0040] S300: Control the ultra-short pulse laser to scan the laser reaction constraint layer along a preset path and perform conductive repair.

[0041] Furthermore, based on the characteristics of the base repair material, set the laser parameters and safety upper limit value; control the robotic arm of the laser head to move directly above the physical coordinates; adjust the height of the laser head from the surface of the laser reaction constraint layer; and scan the laser reaction constraint layer in layers along the Hilbert path.

[0042] Preferably, in the embodiment of the present application, based on the light absorption characteristics and thermodynamic parameters of the base repair material (nano-silver conductive composite material), set the ultra-short pulse laser parameters, including wavelength, pulse energy, repetition frequency, scanning speed, focal length, etc. Set the safety upper limit value of the plasma intensity for real-time emergency stop protection.

[0043] Furthermore, drive the robotic arm of the laser head to move directly above the physical coordinates, measure the height to the surface of the laser reaction constraint layer through an integrated confocal sensor, and dynamically adjust the position of the laser head so that the real-time measured distance h from the laser head nozzle to the surface of the laser reaction constraint layer must satisfy the following formula:

[0044] where h represents the real-time measured distance from the laser head nozzle to the surface of the laser reaction constraint layer, represents the ideal focusing height corresponding to the minimum spot diameter (highest energy density) of the laser beam, represents the upper limit of the allowable height deviation.

[0045] Furthermore, start the layer-by-layer scanning program, generate a scanning path according to the Hilbert space-filling curve, use the physical coordinates of the center of the fault area as the starting point, and expand the scanning range layer by layer (the expansion amount per layer is 3 to 5 times the spot diameter). The scanning speed of each layer is dynamically controlled according to the repetition frequency, scanning pitch, and overlap rate. Insert a cooling time between layers, and the cooling time is at least the material cooling time constant divided by the cooling coefficient to avoid heat accumulation, thereby completing the conductive repair.

[0046] Preferably, during the layer-by-layer scanning process, triple closed-loop monitoring is synchronously performed, namely plasma intensity monitoring, molten pool state feedback control, and heat accumulation suppression and cooling management. Plasma intensity monitoring uses a high-speed photodiode to collect the plasma luminescence intensity of the processing area in real time. When the detected luminescence intensity exceeds the safety upper limit threshold, immediately reduce the pulse energy by 20% and trigger an audible and visual alarm. Molten pool state feedback control is based on a pre-calibrated plasma intensity-molten pool size mapping model to dynamically adjust the pulse energy to maintain the stability of the molten pool. When the real-time plasma intensity is lower than the set lower limit threshold, stepwise increase the pulse energy (step size ≤ 5%); when approaching the safety upper limit, implement preventive energy reduction. Heat accumulation suppression and cooling management use a microsecond-response infrared thermometer to detect the temperature distribution in the surrounding area of the laser action point in real time. If the local temperature exceeds the material critical threshold, immediately pause the scanning and activate the air-cooling system. Resume scanning after the temperature drops to the lower limit of the safety window, and at the same time automatically extend the inter-layer cooling time (extension amount = over-temperature duration × compensation coefficient).

[0047] Preferably, the ultra-short pulse laser used has an extremely high peak power and an extremely short action time, can accurately melt the silver nanoparticles, achieve metallurgical bonding between materials, minimize the heat-affected zone while forming a highly conductive path, and protect the surrounding LED chips and circuits. The laser parameters are adjusted in real time through triple closed-loop monitoring (plasma intensity, molten pool state, heat accumulation) to ensure the stability of the molten pool (such as the dynamic rise and fall of pulse energy), and prevent over-burning or insufficient repair. The Hilbert path is used for layer-by-layer scanning, with continuous paths, uniform coverage, high efficiency, and controllable expansion amount per layer. Insert a cooling time between layers to effectively prevent heat accumulation and avoid overheating damage or deformation of the material.

[0048] S400: Perform a verification to verify the effect of the conductive repair, generate a geometric correction mapping table and brightness and chromaticity compensation parameters, and dynamically compensate the display consistency according to the geometric correction mapping table and the brightness and chromaticity compensation parameters.

[0049] Further, through multimodal verification, verify the effect of the conductive repair; based on the offset obtained from the multimodal verification, perform local compensation mapping to obtain a geometric correction mapping table; taking the center of the area of the conductive repair as the origin, set a Gaussian weight based on the optical deviation value obtained from the multimodal verification, and calculate the luminance and chrominance compensation drive value; according to the geometric correction mapping table, correct the pixel coordinates, and perform luminance and chrominance compensation on the corrected pixel coordinates according to the luminance and chrominance compensation drive value.

[0050] In a preferred embodiment of the present application, the multimodal verification includes: electrical verification, acoustic verification, geometric verification, and optical consistency verification.

[0051] Preferably in the embodiment of the present application, the effect of the conductive repair is verified through multimodal verification. It should be noted that the effect of the conductive repair here is not only to verify the conductivity, but to verify the comprehensive repair effect centered on the conductive repair (including physical deformation and color deviation caused by the conductive repair, etc.). The repair area is detected through four verification modes, and the four verification modes include electrical verification, acoustic verification, geometric verification, and optical consistency verification.

[0052] Specifically, for electrical verification, the four-probe measurement method is used to sample at a 16-point grid in the conductive repair area, and the sheet resistance value of each sampling point is measured. Based on the sheet resistance value, the corresponding coefficient of variation is calculated. It is required that both the sheet resistance value and the coefficient of variation are within the set range to ensure the conductivity uniformity of the conductive repair area, and the electrical performance of the conductive repair area is basically the same as that of the surrounding unrepaired area, so as to ensure the stability and reliability of the overall electrical performance after repair. If the sheet resistance value exceeds the limit, it is marked as "insufficient conductive repair", and laser repair is performed again. If the coefficient of variation > 15%, it is determined that the material is non-uniform, and the spray coating is triggered to be remade.

[0053] Further, for acoustic verification, a vibration sensor is used to detect the vibration signal in a specific frequency band (the extended frequency band of the frequency of the highest peak point recorded when the acoustic anomaly occurs) in the fault area, and the vibration energy of the fault area at the characteristic frequency (the frequency of the highest peak point) is mainly analyzed. It is required that the deviation of the vibration energy from the baseline data does not exceed +3dB to ensure that the acoustic response of the fault area is coordinated with the surrounding area and there are no abnormal acoustic characteristics. Check whether there is a new vibration source introduced by the repair. If so, trigger geometric repair compensation, otherwise mark "the root cause is not repaired" and start acoustic suppression.

[0054] Further, for geometric verification, a laser triangulation displacement sensor or a wide-spectrum confocal sensor (non-contact type) is used to scan the surface profile of the repair area with a repeatability accuracy of ±3 μm, collect the coordinate data of key points (sampling pitch ≤ 50 μm), and register them with the corresponding coordinates of the theoretical reference grid through the ICP (Iterative Closest Point) algorithm, and calculate the Euclidean offset of each point. It is required that the global maximum offset is less than the set maximum offset. In the assembly area, the maximum profile deviation is calculated through the Hausdorff distance. It is required that the maximum profile deviation is less than the set profile deviation threshold. If both the global maximum offset is less than the set maximum offset and the maximum profile deviation is less than the set profile deviation threshold are satisfied, a geometric correction mapping table is generated; otherwise, deformation diagnosis / compensation is triggered.

[0055] Further, for optical consistency verification, dual-mode synchronous scanning is adopted. For the repair area, a circular area with a radius 1.5 times that of the fault area centered at the center of the fault area is defined as the scanning range of the repair area, and sampling scanning is performed along a spiral trajectory. The spiral trajectory gradually expands outward from the center of the circle, and at the same time, the least affected adjacent area is scanned as the reference area. Based on the calculation principle of the International Commission on Illumination color space, the characteristic values of brightness, red-green axis, and yellow-blue axis of the repair area and the reference area are calculated respectively. The characteristic value of the repair area takes the median of multiple measurements for noise resistance processing, while the characteristic value of the reference area takes the average of multiple measurements. By comparing the characteristic values of the repair area and the reference area, the optical deviation value is calculated. The calculation formula of the optical deviation value is as follows:

[0056] where, represents the optical deviation value, represents the brightness difference, represents the red-green chromaticity difference, represents the yellow-blue chromaticity difference.

[0057] When ≤ 2.0, it is determined that the optical consistency verification is passed; otherwise, the optical consistency verification fails, and the specific , , are output. Only when the optical consistency verification fails, the standard deviation of the Gaussian weight is calculated. The calculation formula of the standard deviation is as follows:

[0058] where, represents the standard deviation of the Gaussian function, k represents the dynamic coefficient, represents the radius of the fault area.

[0059] In the preferred embodiment of the present application, when When ≤ 3.0, k = 0.7; when > 3.0, .

[0060] The Gaussian weight function is as follows:

[0061] Among them, represents the Gaussian weight coefficient at point , represents the physical coordinates of the pixel to be compensated on the display screen, x is the coordinate of the x-axis, and y is the coordinate of the y-axis; are respectively the x-axis coordinate and the y-axis coordinate of the center coordinate of the fault repair area, represents the standard deviation of the Gaussian function.

[0062] Furthermore, the formula for calculating the luminance and chrominance compensation driving value is as follows:

[0063] Among them, represents the luminance compensation driving value, represents the red-green chrominance compensation driving value, represents the yellow-blue chrominance compensation driving value.

[0064] Furthermore, coordinate correction and superposition of luminance and chrominance compensation driving values are performed in the display driving to achieve pixel-level compensation.

[0065] Preferably, through four verification modes of electricity, acoustics, geometry, and optics, the repair effect is comprehensively evaluated. It not only checks whether the conductivity is restored, but also examines whether the root cause of abnormal vibration is eliminated, whether physical deformation is caused, and whether the display effects are consistent. The verification results can accurately diagnose the problems (such as insufficient conductivity, uneven materials, excessive deformation, and color difference exceeding the standard), and trigger corresponding reprocessing procedures (re-laser repair, spray coating remanufacturing, deformation diagnosis / compensation) to ensure that the final repair meets the standards. Based on the optical deviation value of the optical verification and combined with the Gaussian weight function with the center of the repair area as the origin, the compensation driving value required for each pixel is calculated for compensation. This compensation method can achieve smooth transition and only perform differential compensation in the repair area and its adjacent areas, effectively eliminating color difference and luminance unevenness, making the repaired area visually seamlessly integrated with the surrounding screen, and ensuring the consistency of the final display effect.

[0066] S500: Perform acoustic suppression optimization on the fault area and perform secondary verification. If the result of the secondary verification does not meet the standard, trigger iterative correction until the secondary verification meets the standard or the maximum number of iterations is reached and then complete the correction.

[0067] Further, only when the acoustic verification fails, the original vibration signal of the current screen body is collected and the channel transfer function is calculated; the inverse compensation gain is calculated based on the channel transfer function; a reverse vibration signal with the opposite phase of the original vibration signal is generated based on the inverse compensation gain, and the acoustic driver is driven to output the reverse vibration signal.

[0068] Specifically, the original vibration signal of the current screen body is collected and the transfer function of the complete transfer path of the vibration energy from the output end of the driver to the sensor collection end is calculated using the fast Fourier transform. Then, the inverse compensation gain is calculated according to the transfer function, a reverse vibration signal is generated, and the reverse vibration signal is output through the piezoelectric ceramic driver.

[0069] Further, the LED display screen is controlled to display a test pattern, and an optical camera and a spectrophotometer are used to measure the display effect of the dynamically compensated LED display screen; if the values of the display effect measurement are all within the set range, it is determined that the result of the secondary verification meets the standard, otherwise it is determined that the result of the secondary verification does not meet the standard; if the result of the secondary verification does not meet the standard, iterative correction (laser repair, geometric rescan, re-spraying, adjustment of Gaussian weights, improvement of acoustic suppression, etc.) is performed until the secondary verification meets the standard or the maximum number of iterations is reached.

[0070] It should be noted that the secondary verification here does not refer to the second verification, but to the second-order composite verification (the first dimension is the verification of each modal independent parameter, and the second dimension is the verification of the perturbation coupling effect between modes).

[0071] Preferably in the embodiment of the present application, the iterative correction includes adjusting the optical compensation enhancement, acoustic parameters or geometric phase compensation according to the type of over-standard, and updating the corresponding parameters, and the optimization is repeatedly executed until the secondary verification meets the standard or the set maximum number of iterations is reached.

[0072] Preferably, if the acoustic verification fails (abnormal vibration still exists after repair), the principle of active noise control is adopted. By measuring the transfer function and generating a reverse vibration signal, the residual abnormal vibration is actively cancelled to further reduce noise / abnormal sound and improve the acoustic quality of the product. The secondary verification is not a simple repetition, but a verification of the disturbance coupling effect between modes. After dynamic compensation (and acoustic suppression), the test pattern is displayed on the display screen, and an optical device is used to measure the overall display effect. This can not only verify whether each independent repair (conductive, geometric, optical compensation, acoustic suppression) truly works in cooperation, but also verify whether the repair and compensation measures themselves introduce new, cross-modal interferences. If the secondary verification fails to meet the standard, the corresponding repair or compensation parameters will be selected and adjusted according to the type of non-compliance (such as enhancing optical compensation, adjusting acoustic suppression parameters, performing geometric phase compensation), and then the necessary steps will be executed again (which may be local laser repair, re-spraying a local area, regenerating the mapping table / compensation parameters, adjusting acoustic suppression parameters, etc.). By setting the maximum number of iterations, an infinite loop is avoided while ensuring the repair quality, and it is ensured that the repaired display screen fully meets the standards in all key indicators such as electrical performance, acoustic stability, geometric accuracy, and optical display consistency.

[0073] The present invention also provides a correction system for a corrected LED display screen, which is used to implement the correction method for the corrected LED display screen. The system includes a control module, and the control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the correction method for the corrected LED display screen.

[0074] An embodiment of the present invention provides a storage medium, on which a program is stored, and when the program is executed by a processor, the correction method for the corrected LED display screen is implemented.

[0075] An embodiment of the present invention provides a processor, which is used to run a program, and when the program runs, the correction method for the corrected LED display screen is executed.

[0076] An embodiment of the present invention provides a device, which includes a processor, a memory, and a program stored on the memory and executable on the processor. When the processor executes the program, the correction method for the corrected LED display screen is implemented. The device herein can be a server, a PC, a PAD, a mobile phone, etc.

[0077] The present application also provides a computer program product, which is suitable for executing the correction method for the corrected LED display screen when executed on a data processing device.

[0078] Those skilled in the art should understand that the embodiments of the present application may provide a method, a system, or a computer program product. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0079] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0080] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0082] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0083] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0084] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology for information storage. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change RAM (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0085] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0086] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included within the scope of the claims of the present application.

Claims

1. A correction method for a corrected LED display screen, characterized in that, Including: Monitoring the vibration signal of the LED display screen, judging whether there is acoustic abnormality according to the vibration signal, and if there is the acoustic abnormality, triggering thermal imaging linkage scanning to lock the fault area; Locating the fault area, controlling the spraying mechanism to spray the base repair material in the fault area and performing pre-curing treatment to form a laser reaction constraint layer; Controlling the ultra-short pulse laser to scan the laser reaction constraint layer along a preset path and performing conductive repair; Performing a verification once, verifying the effect of the conductive repair, generating a geometric correction mapping table and brightness and chromaticity compensation parameters, and dynamically compensating the display consistency according to the geometric correction mapping table and the brightness and chromaticity compensation parameters; Performing acoustic suppression optimization on the fault area and performing a second verification. If the result of the second verification does not meet the standard, triggering iterative correction until the second verification meets the standard or the maximum number of iterations is reached and then completing the correction.

2. The correction method of the corrected LED display screen according to claim 1, wherein The monitoring the vibration signal of the LED display screen and judging whether there is acoustic abnormality according to the vibration signal includes: Collecting the vibration sensor signal and performing short-time Fourier transform on the vibration signal; Calculating the distribution density of the vibration energy on the frequency axis, identifying the highest peak point of the distribution density, and recording the frequency value and amplitude of the highest peak point; When the amplitude of the highest peak point exceeds the set acoustic fault trigger threshold, it is judged that the LED display screen has acoustic abnormality.

3. The correction method for the corrected LED display screen according to claim 1, characterized in that, The if there is the acoustic abnormality, triggering thermal imaging linkage scanning to lock the fault area includes: If the LED display screen has acoustic abnormality, starting the infrared thermal imager to perform full-screen scanning, obtaining the real-time temperature of all pixel points on the full screen, and aligning the thermal image data with the time stamp at the moment of the acoustic abnormality; For each pixel point, reading the current real-time temperature value of the pixel point, reading the no-signal scanning temperature of the corresponding pixel point from the set temperature baseline, and calculating the temperature difference of the pixel point; When the temperature difference of the pixel point is greater than the set temperature difference threshold, marking it as a high-temperature pixel point; Merging adjacent high-temperature pixel points through a connected component analysis algorithm to form an independent thermal anomaly area; Calculating the center position coordinates of the independent thermal anomaly area, counting all pixel coordinates within the independent thermal anomaly area, and obtaining the fault area through cross-verification rules.

4. The correction method for the corrected LED display screen according to claim 3, characterized in that, The locating the fault area, controlling the spraying mechanism to spray the base repair material in the fault area and performing pre-curing treatment to form a laser reaction constraint layer includes: Controlling the optical camera integrated on the robotic arm to move directly above the center position coordinates of the fault area and controlling the camera to take a local image; Using a feature matching algorithm to compare the local image with the baseline calibration grid image and calculating the fault point offset; Converting the center position coordinates into physical coordinates in the spraying mechanism coordinate system, controlling the spraying mechanism to move to the physical coordinates, spraying the base repair material in the fault area, performing hot air pre-curing treatment after the spraying is completed, and forming a laser reaction constraint layer on the surface of the fault area.

5. The correction method for the corrected LED display screen according to claim 4, wherein, Controlling the ultra-short pulsed laser to scan the laser reaction constraint layer along a preset path and perform conductive repair includes: Setting laser parameters and safety upper limit values based on the characteristics of the substrate repair material; Controlling the robotic arm of the laser head to move directly above the physical coordinates; Adjusting the height of the laser head from the surface of the laser reaction constraint layer; Scanning the laser reaction constraint layer layer by layer along the Hilbert path.

6. The correction method for the corrected LED display screen according to claim 1, characterized in that, Performing one verification to verify the effect of the conductive repair, generating a geometric correction mapping table and brightness and chromaticity compensation parameters, and dynamically compensating the display consistency according to the geometric correction mapping table and the brightness and chromaticity compensation parameters, including: Verifying the effect of the conductive repair through multi-modal verification; Performing local compensation mapping based on the offset obtained from multi-modal verification to obtain a geometric correction mapping table; Taking the center of the area of the conductive repair as the origin, setting a Gaussian weight based on the optical deviation value obtained from multi-modal verification, and calculating the brightness and chromaticity compensation drive value; Correcting the pixel coordinates according to the geometric correction mapping table, and performing brightness and chromaticity compensation on the corrected pixel coordinates according to the brightness and chromaticity compensation drive value.

7. The correction method for the corrected LED display screen according to claim 6, wherein, The multi-modal verification includes: electrical verification, acoustic verification, geometric verification, and optical consistency verification.

8. The correction method for the corrected LED display screen according to claim 1, wherein Performing acoustic suppression optimization on the faulty area, including: Collecting the original vibration signal of the current screen body and calculating the channel transfer function; Calculating the inverse compensation gain based on the channel transfer function; Generating a reverse vibration signal with a phase opposite to that of the original vibration signal based on the inverse compensation gain, and driving the acoustic driver to output the reverse vibration signal.

9. The correction method of the corrected LED display screen according to claim 1, characterized in that, Performing a second verification. If the result of the second verification does not meet the standard, triggering iterative correction until the second verification meets the standard or the maximum number of iterations is reached and then completing the correction, including: Controlling the LED display screen to display a test pattern, and using an optical camera and a spectrophotometer to measure the display effect of the dynamically compensated LED display screen; If the values of the display effect measurement are all within the set range, determining that the result of the second verification meets the standard, otherwise determining that the result of the second verification does not meet the standard; If the result of the second verification does not meet the standard, performing iterative correction until the second verification meets the standard or the maximum number of iterations is reached.

10. A correction system for a corrected LED display screen, characterized in that, The system includes a control module. The control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the correction method of the corrected LED display screen according to any one of claims 1-9.

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