LED lamp strip video imaging control method and system based on pixel coordinate mapping

Abstract

The invention discloses an LED lamp strip video imaging control method and system based on pixel coordinate mapping, and relates to the technical field of visual image processing. The pixel coordinate mapping-based LED lamp strip video imaging control method comprises the following steps of S1, acquiring geometric structure data and operation performance data of an LED lamp strip, preprocessing the geometric structure data and the operation performance data, and constructing a bending management database; s2, according to geometric structure data of the lamp strip, analyzing a mapping deviation between a pixel coordinate and a physical coordinate in real time; s3, geometric structure data and operation performance data are obtained, and bending light attenuation analysis is carried out; s4, evaluating the thermal load state of the bending area according to the operation performance data and the thermal management data of the LED; and S5, displaying the operation performance data and the abnormal alarm information in real time through an interface, and realizing data closed-loop management and partition operation and maintenance tracing. The problems that the display precision of the bending area of the LED lamp strip is reduced, the brightness and the color are uneven, and the performance of the LED is degraded due to local heat accumulation are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of visual image processing, in particular to an LED lamp strip video imaging control method and system based on pixel coordinate mapping. BACKGROUND

[0002] Existing LED lamp strips are widely used in various video imaging, dynamic display and intelligent lighting occasions, and are often used in complex structures such as building outlines, stage modeling, city landscapes, etc. To achieve video-level dynamic display effect, the existing technology generally maps video pixel signals to the physical position of the lamp strip, and drives the LED array to realize synchronous display of the image For example, the invention with publication number CN108933961A discloses a method and system for controlling LED color display based on image edge data, which belongs to the technical field of visual image processing, and specifically relates to a method and system for controlling LED color display based on image edge data, comprising the following steps: obtaining HDMI format video stream data, and decoding and converting the video stream data into RGB color space video stream data; extracting correct row / column data from the RGB color space video stream data, and performing operations on the row / column data to obtain compressed pixel point RGB data, and obtaining LED RGB values according to the compressed pixel point RGB data; and controlling the working state of the LED lamp strip according to the LED RGB values. The present application controls the display color of the LED lamp strip according to the image displayed on the video playing device, expands the display range in vision, and realizes the effect of dynamic linkage of indoor LED light with playing content.

[0003] For example, the invention with publication number CN110933332B discloses a display control system, which relates to a display control system, comprising: a display device composed of LED lamp strips, including a first display module and a second display module; a server for storing source display data; a video processing device including a first video processor and a second video processor, for receiving source display data and performing data conversion, data storage and data distribution, wherein the first video processor is used to store display data corresponding to the first display module, and the second video processor is used to store display data corresponding to the second display module; a plurality of sub-control devices receiving display data processed by the video processing device and controlling the corresponding connected LED lamp strip display. The above-mentioned display control system adopts two video processors to distribute display data and jointly control a two-million-pixel display device, which can reduce the requirement for video processors and solve the problem that the current outdoor display system cannot drive a two-million-pixel display device under the condition of using the original video processor.

[0004] Although the existing LED light strip video imaging and control method introduces pixel coordinate mapping, partition brightness adjustment and basic thermal management mechanism to improve display accuracy and operation stability, in the complex bending, multi-structure deformation and high-brightness long-time operation scene, it is still difficult to completely eliminate the problems of spatial mapping error, local brightness imbalance and heat accumulation. For example, when the light strip is synchronously driven to display video content in the multi-bending area, the phenomena of pixel and physical coordinate dislocation, local light decay compensation deficiency, regional brightness gradient mutation and uneven heat load distribution often occur, which affects the overall display consistency and the service life of the light strip.

[0005] Therefore, in view of the above problems, there is an urgent need for an LED light strip video imaging control method and system based on pixel coordinate mapping. SUMMARY

[0006] Technical problems to be solved In view of the deficiencies of the prior art, the present application provides an LED light strip video imaging control method and system based on pixel coordinate mapping, which solves the problems of display precision reduction in bending area, brightness and color unevenness, and local heat accumulation leading to LED performance degradation.

[0007] Technical scheme To achieve the above purpose, the present application is realized by the following technical scheme: an LED light strip video imaging control method and system based on pixel coordinate mapping, comprising: S1, obtaining and preprocessing the geometric structure data and operation performance data of the LED light strip, storing the geometric structure data and operation performance data and constructing a bending management database; S2, according to the light strip geometric structure data, real-time analyzing the mapping deviation of pixel coordinates and physical coordinates, and according to the mapping deviation analysis result, implementing coordinate refinement and light color collaborative adjustment in the bending area; S3, obtaining the geometric structure data and operation performance data and carrying out bending light decay analysis, adjusting the driving current and PWM duty cycle according to the compensation result, realizing brightness correction and light decay warning; S4, according to the operation performance data and thermal management data of the LED, evaluating the heat load state of the bending area, and according to the heat load evaluation result, implementing thermal management measures and generating regional operation and maintenance warning; S5, real-time displaying the operation performance data and abnormal alarm information through the interface, realizing data closed-loop management and partition operation and maintenance tracing.

[0008] Further, the geometric structure data and the operation performance data of the LED lamp strip are acquired and preprocessed, the geometric structure data and the operation performance data are stored, and the specific steps of constructing the bending management database are as follows: acquiring the geometric structure data and the operation performance data of the LED lamp strip; acquiring the geometric structure data: the pixel point number of each pixel in the video image is acquired in real time through image acquisition; the LED lamp bead number of each LED is measured through a high-precision position sensor; the arc length distance of the LED lamp bead from the bending center is obtained through measurement tools and geometric calculation according to the lamp strip wiring structure and installation parameters; the bending radius of the LED lamp strip is obtained by measuring the actual installation form by using a handheld diameter measuring instrument; the local bending angle of the LED is calculated by using a posture sensor and a structural geometric analysis method; the arc length of the LED from the bending center is calculated by combining the lamp strip wiring structure and the actual measurement data; acquiring the operation performance data: the actual detection brightness is acquired in real time by detecting the brightness by using an illuminance sensor; the target brightness is configured according to the display requirements and parameters; the bending light decay compensation reference value is obtained by statistically analyzing the actual long-term bending light decay compensation value of the LED under normal illumination and no bending area; the actual power consumption is calculated by using the direct current circuit power physical formula according to the real-time acquisition results of the LED driving current and voltage; the heat dissipation amount per unit time is obtained by statistically analyzing the historical temperature data of the bending management database by monitoring the surface temperature change of the LED node through an infrared thermal imager; the data format, time stamp and coding mode of the collected geometric structure data and operation performance data are unified, linear normalization processing is performed on all numerical value type parameters, the parameters are scaled to a unified interval range, and the interval numerical values of the state type parameters are mapped according to the level or standard working condition to improve the operation consistency between the parameters, complete the standardization and normalization processing of all parameters, store the collected geometric structure data and operation performance data, and construct the bending management database by using a distributed relational structure and a log storage hybrid architecture design.

[0009] Further, according to the geometric structure data of the lamp strip, the mapping deviation of the pixel coordinates and the physical coordinates is analyzed in real time, and the specific steps are as follows: acquiring the pixel point number of the first pixel, the lamp bead number of the first LED lamp bead, the video pixel coordinates, the lamp strip physical coordinates, the arc length distance from the bending center, the lamp strip bending radius and the local bending angle; calculating the arc length distance of the first LED lamp bead from the bending center divided by the lamp strip bending radius in the x and y directions to obtain the bending ratio value, calculating the difference between the pixel coordinates in the video and the physical coordinates of the corresponding lamp bead on the lamp strip multiplied by the bending ratio value, and then multiplied by a plus bending angle influence factor and the sine value of the local bending angle, to obtain the first pixel point in the video image in the x and y directions, respectively. ​​​​the physical coordinate deviation value of the LED lamp bead; the square root of the sum of the squares of the physical coordinate deviation values in the x and y directions is obtained by using the Euclidean distance formula to obtain the pixel physical mapping deviation value of the first LED lamp bead.

[0010] Further, the specific steps of implementing coordinate refinement and light color coordinated adjustment on the bending area according to the mapping deviation analysis result are as follows: comparing the pixel physical mapping deviation value and the deviation threshold value in real time, when the pixel physical mapping deviation value is greater than the deviation threshold value, increasing the LED brightness of the bending area to compensate for the loss of luminous flux caused by bending, using the least square polynomial curve fitting technology to correct the coordinate mapping relationship, and the number of fitting adjustments is not more than three times; improving the contrast of the deviation area, if the color temperature difference between the bending area and the surrounding area is greater than 300K, preferentially increasing the cold color channel current, and the single adjustment is not more than 5% of the current channel current, if the color temperature difference is still greater than 100K after three adjustments, adjusting the warm color channel; if the pixel physical mapping deviation value is still greater than the deviation threshold value, entering the bending light decay compensation module; when the pixel physical mapping deviation value is less than or equal to the deviation threshold value, maintaining the current brightness and control parameters, and continuing to monitor the display effect of the bending area, if it is found that the brightness gradually decreases, the color distribution is abnormal, or the pixel physical mapping deviation value has a rising trend, triggering an alarm and recording data changes and archiving them to the bending management database.

[0011] Further, the specific steps of obtaining the geometric shape parameters and the running performance data and developing bending light decay compensation analysis are as follows: obtaining the first LED pixel physical mapping deviation value, the local bending angle, the arc length distance from the bending center, the bending radius of the lamp strip, the actual detection brightness and the target brightness; calculating the arc length distance from the first LED pixel to the bending center divided by the bending radius of the lamp strip to obtain the bending proportion value; calculating the pixel mapping deviation weight factor multiplied by the first LED pixel physical mapping deviation value to obtain the mapping error correction term, the absolute value of the local bending angle multiplied by the bending angle weight factor to obtain the angle correction term, and the curvature influence weight factor multiplied by the bending proportion value to obtain the curvature correction term, adding the three terms to obtain the comprehensive correction value; calculating the ratio of the target brightness to the actual detection brightness to obtain the lamp bead brightness difference proportion; calculating the product of the comprehensive correction value, the lamp bead brightness difference proportion and the global brightness calibration factor to obtain the bending light decay compensation value.

[0012] ​​​​Further, the specific steps of adjusting the driving current and PWM duty cycle according to the compensation result to realize brightness correction and light decay early warning are: comparing the bending light decay compensation value and the compensation limit threshold value in real time, when the bending light decay compensation value is greater than the compensation limit threshold value, performing brightness compensation operation: increasing the driving current and PWM duty cycle of the LED in the bending area, adjusting the brightness of the LED in the display boundary and high-curvature area smaller than the target brightness in stages, keeping the brightness change between adjacent LEDs within 3% relative difference, preventing bright spots, dark bands and visual discontinuity caused by local compensation; strengthening the continuous monitoring of the edge and high-curvature area, collecting and calculating the brightness data and pixel physical mapping deviation value of the adjustment area again after each adjustment, if the bending light decay compensation value is still greater than the compensation limit threshold value, generating an operation and maintenance early warning report and storing it in the bending management database; when the bending light decay compensation value is less than or equal to the compensation limit threshold value, maintaining the current LED driving current and brightness control signal setting, saving energy and preventing over-brightness, continuing to monitor the brightness change and compensation effect of the bending area, and focusing on monitoring and recording the area where the bending light decay compensation value reaches the 10% interval of the compensation limit threshold value, if the brightness is detected to have a downward trend, the brightness compensation operation is also performed.

[0013] Further, the specific steps of evaluating the bending area heat load state according to the running performance data and thermal management data of the LED are: obtaining the actual power consumption, the bending light decay compensation value, the bending light decay compensation reference value and the heat dissipation amount per unit time of the first LED unit; Further, the specific steps of evaluating the bending area heat load state according to the running performance data and thermal management data of the LED are: obtaining the actual power consumption, the bending light decay compensation value, the bending light decay compensation reference value and the heat dissipation amount per unit time of the first LED unit;

[0014] Further, the specific steps of implementing thermal management measures and generating regional operation and maintenance early warning according to the heat load evaluation result are: comparing the heat load control value and the load threshold value in real time, when the heat load control value is greater than the load threshold value, implementing thermal management measures for the LED in the bending area: reducing the driving current and brightness control signal duty cycle of the LED in the bending area, starting the local fan of the bending area, gradually reducing the fan speed and keeping the fan running when the heat load control value is less than the load threshold value; temporarily adjusting the display task allocation, shifting the high brightness demand to other areas with a heat load control value less than the load threshold value; if the heat load control value is still greater than the load threshold value after taking the thermal management measures, generating an inspection and cleaning maintenance early warning for the bending area; when the heat load control value is less than or equal to the load threshold value, maintaining the current driving setting and heat dissipation state, without additional adjustment, while continuously monitoring the heat load change of the bending area, recording the running data and archiving it to the bending management database.

[0015] ​Further, the specific steps of realizing data closed-loop management and partition operation traceability by the interface real-time display of running performance data and abnormal alarm information are as follows: the interface adopts LED number partition index, and real-time displays the physical coordinates, actual detection brightness, target brightness, curved light decay compensation value, curved light decay compensation reference value and heat dissipation amount per unit time of each LED, and synchronously displays parameter historical change and current distribution in the form of chart, curve and alarm indication; the dynamic alarm is set for the pixel physical mapping deviation value, curved light decay compensation value and thermal load regulation value of each LED node, the abnormal area is highlighted in real time, and all threshold value changes and triggered actions are recorded to the bending management database, so that the whole-process data closed loop is formed. The user can check the detailed historical data, compensation measure adjustment record and inspection and maintenance early warning content of any node through the interface interaction, and export the partition operation report.

[0016] Further, the second aspect of the present application provides an LED light strip video imaging control system based on pixel coordinate mapping, which is applied to the LED light strip video imaging control method based on pixel coordinate mapping, and includes: a video input module, which is used for acquiring and preprocessing the geometric structure data and running performance data of the LED light strip, and storing and constructing a bending management database; a pixel coordinate mapping module, which is used for real-time analyzing the mapping deviation of the pixel coordinates and the physical coordinates according to the light strip geometric structure data, and implementing coordinate refinement and light color coordinated adjustment on the bending area according to the mapping deviation analysis result; a light decay compensation module, which is used for acquiring the geometric shape parameters and running performance data and developing curved light decay compensation analysis, and adjusting the driving current and PWM duty cycle according to the compensation result to realize brightness correction and light decay early warning; a thermal management and heat dissipation control module, which is used for evaluating the thermal load state of the bending area according to the running performance data and thermal management data of the LED, and implementing thermal management measures and generating area operation and maintenance early warning according to the thermal load evaluation result; and a user interface and monitoring module, which is used for real-time displaying the running performance data and abnormal alarm information through the interface, and realizing data closed-loop management and partition operation traceability.

[0017] Beneficial effects The present application has the following beneficial effects: (1) According to the present application, the pixel physical mapping deviation is analyzed in real time based on the actual geometric parameters of the light strip and the video pixel coordinates, the coordinate mapping relationship of the bending area is automatically corrected, and the light color coordinated adjustment is implemented, so that the accurate correspondence between the pixels and the physical coordinates in the bending area and the high consistency of image display are realized, and the problems of display deformation, uneven brightness and color distortion caused by physical bending in the prior art are effectively solved.

[0018] (2) The present application dynamically calculates the curved light decay compensation value by analyzing the pixel physical mapping deviation value, bending parameter and brightness information of the LED, and automatically adjusts the driving current and PWM duty cycle based on the compensation result, and gradually corrects the brightness in stages, thereby realizing the effects of curved area light flux compensation and local bright spot and dark band control, effectively solving the problems of uneven light decay distribution and local compensation lag in the prior art.

[0019] (3) The present application, by real-time evaluation of the thermal load state of the curved area based on the actual power consumption, light decay compensation value and heat dissipation amount of the LED, and automatically adjusting the driving parameters and linkage cooling measures combined with the thermal load control value, thereby realizing the effects of timely relief of high-risk area heat accumulation and stable operation of LED performance, effectively solving the problems of local overheating, delayed thermal control response and shortened LED life in the prior art.

[0020] (4) The present application, by comparing the threshold values of the pixel physical mapping deviation value, the curved light decay compensation value and the thermal load control value, real-time monitoring of abnormal state and triggering operation and maintenance warning, thereby realizing the effects of intelligent sensing and rapid response of various risks in the bending area, effectively solving the problems of difficult to find abnormal accumulation in time and lag of manual intervention in the prior art.

[0021] Of course, any product implementing the present application does not necessarily need to achieve all the advantages described above at the same time. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 The method flowchart of the LED light strip video imaging control method and system based on pixel coordinate mapping of the present application; Figure 2 The system structure diagram of the LED light strip video imaging control method and system based on pixel coordinate mapping of the present application; Figure 3 The LED unit thermal risk distribution radar chart of the LED light strip video imaging control method and system based on pixel coordinate mapping of the present application; DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0024] Please refer to Figures 1-3The embodiment of the present application provides a technical scheme: a LED lamp strip video imaging control method and system based on pixel coordinate mapping, comprising S1, obtaining the geometric structure data and operation performance data of the LED lamp strip and preprocessing, storing the geometric structure data and operation performance data and constructing a bending management database; S2, according to the lamp strip geometric structure data, real-time analyzing the mapping deviation of the pixel coordinate and the physical coordinate, and according to the mapping deviation analysis result, implementing coordinate fine-tuning and light color coordinated adjustment on the bending area; S3, obtaining the geometric structure data and operation performance data and developing bending light decay analysis, and according to the compensation result, adjusting the driving current and the PWM duty cycle, realizing brightness correction and light decay early warning; S4, according to the operation performance data and thermal management data of the LED, evaluating the thermal load state of the bending area, and according to the thermal load evaluation result, implementing thermal management measures and generating regional operation and maintenance early warning; S5, through the interface, real-time displaying the operation performance data and abnormal alarm information, realizing data closed-loop management and partitioned operation and maintenance tracing; the problems of display precision reduction of the LED lamp strip bending area, brightness and color unevenness and local heat accumulation leading to LED performance attenuation are solved.

[0025] Specifically, the geometric structure data and the running performance data of the LED light strip are acquired and preprocessed, and the geometric structure data and the running performance data are stored and the specific steps of constructing the bending management database are as follows: in the process of acquiring the geometric structure data and the running performance data of the LED light strip, first, the core parameters need to be collected comprehensively. For the geometric structure data, the pixel point number of each pixel in the video image is acquired in real time through image acquisition, providing basic coordinate information for subsequent pixel and physical space mapping. The LED light strip physical coordinates are measured accurately by a high-precision position sensor for each LED bead number, thereby establishing the absolute positioning relationship of the LED nodes in the physical space. In order to further reflect the spatial form when the light strip is arranged, the arc length distance between the LED beads and the bending center is calculated according to the actual wiring structure and installation parameters of the light strip, combined with measurement tools and geometric calculation means, to ensure that the bending characteristics of each node are accurately expressed. For the bending radius of the LED light strip, a handheld diameter measuring instrument is used to measure the actual installation form, which is convenient for restoring the physical curvature distribution of each bending section; the local bending angle is calculated by the attitude sensor and the structural geometric analysis method, and the spatial turning angle information of each LED bead in the bending area is refined. At the same time, the arc length from the LED to the bending center is further calculated based on the wiring structure of the light strip and the actual measurement data, which provides necessary basis support for subsequent compensation and regulation algorithms. In terms of running performance data acquisition, the actual detection brightness is monitored in real time by using an illuminance sensor, which ensures the accuracy of the brightness state data of each LED node at each moment. The target brightness is pre-configured according to the specific display requirements and system setting parameters, which serves as the benchmark for brightness adjustment and compensation. The bending light decay compensation reference value is obtained by statistical analysis of the actual compensation data of the LED under normal illumination and no bending area in the long-term working state. The actual power consumption is obtained by physical formula conversion based on the real-time acquisition results of the driving current and voltage of each LED. For the heat dissipation amount per unit time, the infrared thermal imager is used to monitor the surface temperature change of the LED nodes, and the historical temperature data of the bending management database are statistically analyzed to dynamically reflect the heat dissipation status and heat load distribution of different regions. All the collected geometric structure data and running performance data are standardized, time-stamped and coded, and the numerical parameters are linearly normalized to the system's unified range, while the state parameters are mapped to interval values according to the level or standard working condition, so as to improve the consistency of the parameters and ensure the accuracy and efficiency of the subsequent algorithm processing. Finally, all the data that have completed the standardization and normalization processing are stored uniformly, and the bending management database is constructed based on the distributed relational structure and log storage hybrid architecture design, which provides a solid data foundation for the whole process intelligent regulation and control of LED light strip video imaging control, bending section fine compensation and heat management.

[0026] In the embodiment, by comprehensively collecting, standardizing processing and normalizing archiving the geometric structure data and operating performance data of the LED light strip, a basic data system covering the spatial layout and real-time operating state of each LED node is established. Through multiple types of sensors and measurement tools, key structural parameters such as pixel number, LED physical coordinates, arc length distance from the bending center, bending radius, local bending angle, etc. are accurately obtained, and combined with actual detection brightness, target brightness, bending light decay compensation reference value, real-time power consumption and heat dissipation, etc. multi-dimensional performance indicators, the dynamic monitoring of the core operating data is completed. All collected parameters are uniformly processed in terms of data format, timestamp and coding mode, and linearly normalized and standard mapped according to categories to ensure consistency and comparability between parameters. Finally, all standardized data is archived to the bending management database in a distributed relational structure and log storage hybrid mode, providing a solid data foundation and efficient support for subsequent fine mapping correction, light decay compensation, thermal management control and system intelligent optimization.

[0027] Specifically, according to the geometric structure data of the light strip, the specific steps of real-time analyzing the mapping deviation of pixel coordinates and physical coordinates are as follows: the pixel number of the kth pixel and the LED lamp bead number of the ith LED lamp bead are obtained, and the video pixel coordinates, the physical coordinates of the LED light strip, the arc length distance from each LED lamp bead to the bending center, the actual bending radius of the light strip and the local bending angle geometric parameters are collected in turn. Through multivariate regression analysis of the bending angle, pixel physical mapping deviation value and brightness data of each LED node, the significant influence degree of the bending angle on the overall deviation and display quality is screened out, and the specific value of the bending angle influence factor is determined according to the regression coefficient. In the x and y directions, the arc length distance from each LED node to the bending center is divided by the bending radius of the light strip to obtain the bending ratio value of the point in each direction. Among them, 1 in the ratio value represents the original ratio when not affected by bending. Then, the difference between the kth pixel coordinate in the video image and the ith LED physical coordinate on the light strip is multiplied by the bending ratio value, and then multiplied by "1 plus the product of the bending angle influence factor and the sine value of the local bending angle of the LED", further adding the non-linear influence introduced by bending to the coordinate correction. In this way, the physical coordinate deviation of the video pixel point mapped to the physical node in the x and y directions is obtained respectively. Finally, the Euclidean distance formula is used to sum the square of the physical coordinate deviation values in the x and y directions, and then take the square root to comprehensively obtain the pixel physical mapping deviation value of the ith LED lamp bead, providing a quantitative basis for subsequent mapping accuracy correction, light color compensation and intelligent control modules, etc.

[0028] The specific calculation formula of the physical coordinate deviation value is as follows:

[0029] The specific formula for calculating the pixel physical mapping deviation value is as follows: ; In the formula, Represents the pixel physical mapping deviation value, which is the first pixel in the video image. The nth pixel is mapped to the nth pixel. Pixel physical mapping deviation value for each LED bead; Indicates the pixel number in the video image. Indicates the LED bead number; Indicates the first The physical coordinate deviation value between each pixel and the i-th LED bead; express or The video pixel coordinates in the direction are calculated, and the deviation is calculated on the x-axis. If the deviation is calculated on the y-axis, then ; Indicates the first in the LED light strip Each LED bead or The physical coordinates of the LED strip in the direction of the light, for the x-axis For the y-axis ; Indicates the first The distance between each LED bead and the arc length of the bending center; This indicates the bending radius of the LED light strip. If the light strip is a straight line, ; It is the bending angle influence factor, with a value range of 0.01 to 0.5; Indicates the first Local bending angle of each LED bead In this implementation scheme, by collecting and calculating parameters such as video pixel coordinates, LED strip physical coordinates, arc length, bending radius, and local bending angle point by point, the physical coordinate deviation of each LED bead during the spatial mapping process is accurately quantified. The proportional relationship between the arc length distance between the LED node and the bending center and the bending radius is comprehensively considered in both the x and y directions, and a bending angle influence factor is introduced to perform graded correction of spatial mapping distortion caused by strip deformation, so that 1 in the proportional value serves as the original mapping reference when the strip is straight. This process obtains multi-dimensional error parameters between pixels and physical coordinates. Finally, the deviations in the x and y directions are fused using the Euclidean distance method to obtain the pixel physical mapping deviation value for each LED node. This data provides a quantitative basis for coordinate refinement, color compensation, and display optimization in the bending area, significantly improving mapping accuracy and the targeted nature of subsequent system compensation and control.

[0030] Specifically, the specific steps of implementing coordinate refinement and light color coordination adjustment on the bending area according to the mapping deviation analysis result are as follows: by comparing the pixel physical mapping deviation value of each LED node with the deviation threshold value in real time, the spatial mapping accuracy of the bending area is dynamically monitored. When the detected pixel physical mapping deviation value is greater than the deviation threshold value, the brightness of the bending area is increased to compensate for the loss of luminous flux caused by local bending, the least square polynomial curve fitting technology is called to finely correct the coordinate mapping relationship, and the spatial mapping error is further reduced through fitting adjustment within three times. In the process of improving the overall display effect of the deviation area, the contrast of the related area is also improved and the color temperature state is synchronously detected to solve the problem of visual discontinuity or color inconsistency that may be caused after brightness compensation. When the color temperature difference between the bending area and the surrounding area is greater than 300K, the drive current of the cold color channel is adjusted preferentially, and the adjustment amplitude is not more than 5% of the current channel current each time. If the color temperature difference is still greater than 100K after three consecutive adjustments, the warm color channel is further adjusted to accurately correct the local color deviation. If the pixel physical mapping deviation value is still greater than the deviation threshold value after the above compensation and adjustment, the bending light decay compensation module is switched to perform higher-level light color correction measures. When the pixel physical mapping deviation value is less than or equal to the deviation threshold value, the current brightness and control parameter settings are maintained, and the display effect of the bending area is continuously monitored dynamically. If subsequent detection shows that the area has a trend of gradually decreasing brightness, abnormal color distribution or continuously rising pixel physical mapping deviation value, an alarm is automatically triggered, and the relevant data changes are timely archived to the bending management database, realizing early warning and whole-process data closed loop of risks.

[0031] In the embodiment, by comparing the pixel physical mapping deviation value of each LED node with the deviation threshold value in real time, intelligent dynamic regulation and control of the mapping accuracy and display consistency of the bending area are realized. When the deviation value is found to be greater than the deviation threshold value, multi-dimensional measures such as brightness compensation, least square polynomial curve fitting adjustment, local contrast improvement and color temperature difference hierarchical correction are sequentially performed, which significantly improves the brightness uniformity and color coordination of the mapping distortion area. At the same time, for the area whose deviation is still out of the standard after adjustment, the bending light decay compensation module is switched to realize higher-level light color correction. For the area whose deviation value is less than or equal to the deviation threshold value, the system continuously monitors its display effect, and actively triggers an alarm and archives data when the brightness or color trend is abnormal, thereby ensuring closed loop management and early risk identification in the display process. The mechanism not only improves the fine control ability of the system on the spatial mapping and light color performance of the complex bending area, but also lays a solid data foundation for subsequent compensation, operation and maintenance and database tracing Specifically, the steps for obtaining geometric parameters and operational performance data and conducting bending light decay compensation analysis are as follows: Obtain the pixel physical mapping deviation value, local bending angle, arc distance from the bending center, and bending radius of the LED for the i-th LED, as well as the core parameters of actual detected brightness and target brightness. By dividing the arc distance between the i-th LED and the bending center by the bending radius of the LED strip, the bending ratio value of that node is accurately calculated, providing a basis for subsequent curvature compensation. By comparing the actual measured brightness data of each LED node under uniform illumination without bending with the target brightness data, a representative calibration factor is obtained through batch mean calculation and outlier removal. Based on the pixel physical mapping deviation data and LED node brightness data, the influence of deviation on brightness compensation is quantified through correlation analysis and sensitivity evaluation to obtain the pixel mapping deviation weight factor. Combining local bending angle data with actual measured brightness data, the magnitude of brightness attenuation in different angle intervals is determined and quantified using methods such as group comparison and trend analysis to obtain the bending angle weight factor. Based on arc length distance data, light strip bending radius data, and actual measured brightness data, the curvature influence weight factor is obtained by combining piecewise fitting and comparative analysis with brightness attenuation performance under different curvature conditions. The brightness and light decay deviations caused by different factors are corrected separately: the pixel mapping deviation weight factor is multiplied by the physical mapping deviation value of the i-th LED pixel to obtain the mapping error correction term; the absolute value of the local bending angle is multiplied by the bending angle weight factor to obtain the angle correction term; the curvature influence weight factor is multiplied by the bending ratio value to obtain the curvature correction term, reflecting the direct influence of curvature on compensation. The three correction results are added together and then one is added to form a comprehensive correction value, which is used to quantify the cumulative effect of various factors on the compensation requirements of LED nodes. Here, 1 represents the original compensation benchmark value when not affected by spatial distortion or local structure. The ratio of the target brightness to the actual detected brightness is calculated to obtain the brightness difference ratio between the current LED node and the preset target. The comprehensive correction value, the LED brightness difference ratio, and the global brightness calibration factor are multiplied to obtain the bending light decay compensation value for that node, providing a scientific and quantifiable compensation benchmark for subsequent dynamic brightness adjustment, luminous flux equalization, and display consistency optimization.

[0032] The specific formula for calculating the bending light attenuation compensation value is as follows: ; In the formula: Indicates the first The bending light decay compensation value of an LED reflects the amount of brightness compensation required due to geometric deformation or luminous flux attenuation under bending conditions. This represents the global brightness reference calibration factor, with a value ranging from 0.9 to 1.1, used to uniformly adjust the brightness reference of all LEDs; Indicates the first LED pixel physical mapping deviation value, which comprehensively reflects the comprehensive error of the pixel and the physical point in space; represents the local bending angle of the represents the arc length distance of the represents the bending radius of the LED light strip, which is used to quantify the current bending degree of the light strip. The smaller the radius, the more obvious the bending, and the greater the influence on local compensation. represents the actual detection brightness of the represents the target brightness, which is the ideal brightness value that all LED nodes should reach. represents the pixel mapping deviation weight factor, which is in the range of 0.1 to 1.0, and is used to adjust the influence of the pixel physical mapping deviation value on the calculation of the bending light decay compensation value. represents the bending angle weight factor, which is in the range of 0.05 to 0.5, and controls the weight of the local bending angle in the compensation calculation. represents the curvature influence weight factor, which is in the range of 0.01 to 0.3, and reflects the influence of the curvature change of the light strip on the brightness correction.

[0033] In this embodiment, by comprehensively collecting and operating the pixel physical mapping deviation value, the local bending angle, the arc length distance from the bending center, the bending radius of the light strip, the actual detection brightness and the target brightness of each LED node, dynamic quantitative analysis of the bending area brightness loss and light decay influence is realized. On the basis of calculating the bending proportion value, the mapping error correction term, the angle correction term and the curvature correction term are introduced, and the correction amounts are superimposed to dynamically reflect the multi-element influence of structural deformation and spatial distortion on the brightness output of the LED node. Through the fusion of the difference between the target brightness and the actual brightness and the global calibration factor, the bending light decay compensation value of each LED node is finally obtained quantitatively. The compensation value provides a scientific and operable reference basis for subsequent dynamic brightness adjustment and display equalization optimization, so as to ensure that the complex bending area can always maintain brightness consistency and high-quality display effect under different working conditions.

[0034] ​​​Specifically, the specific steps of adjusting the driving current and the PWM duty cycle according to the compensation result to realize the brightness correction and the light decay early warning are as follows: comparing the bending light decay compensation value of each LED node with the compensation limit threshold in real time, and dynamically judging the brightness compensation demand of the bending area. When the bending light decay compensation value of a certain area is greater than the compensation limit threshold, the brightness compensation operation is immediately started, the driving current and the PWM duty cycle of the LED in the area are increased, and the light flux output is specifically enhanced. For the LED with a brightness less than the target brightness in the display boundary and the high-curvature area, the system adopts a hierarchical progressive adjustment scheme, so that the brightness change between adjacent LEDs is strictly controlled within a relative difference of 3%, thereby effectively preventing the light spot, dark band and visual fault phenomenon caused by local compensation. The continuous monitoring of the edge and the high-curvature area is strengthened, and after each adjustment, the actual detected brightness data and the pixel physical mapping deviation value of the adjustment area are re-acquired and calculated, and the compensation effect is comprehensively evaluated. If the bending light decay compensation value is still greater than the compensation limit threshold after continuous adjustment, an operation and maintenance early warning report is generated and is simultaneously archived to the bending management database, so as to facilitate subsequent tracing and operation and maintenance decision-making. When the bending light decay compensation value is less than or equal to the compensation limit threshold, the current LED driving current and the brightness control signal setting are maintained, the energy-saving operation is realized while the display quality is ensured, and the over-brightness phenomenon is effectively prevented. The brightness change and the compensation effect of the bending area are continuously monitored, and especially the area with the bending light decay compensation value reaching the compensation limit threshold within 10% is monitored and data recorded. If the brightness is found to have a downward trend in the continuous monitoring process, the brightness compensation operation is also actively performed, so as to ensure the long-term stability and consistency of the display effect of each area.

[0035] In the embodiment, the bending light decay compensation value of each LED node is monitored in real time, and the relationship between the bending light decay compensation value and the compensation limit threshold is monitored, so that the fine management of the brightness balance and compensation control of the bending area is realized. When the bending light decay compensation value exceeds the compensation limit threshold, the system automatically increases the driving current and the PWM duty cycle of the LED in the bending area, adopts a hierarchical progressive adjustment strategy, and strictly controls the brightness change within a reasonable range between adjacent LEDs, thereby effectively eliminating the light spot, dark band and visual fault caused by compensation. The adjustment process is accompanied by continuous monitoring of the edge and the high-curvature area, and the brightness and mapping deviation data are dynamically acquired after each compensation, so as to ensure timely optimization of the compensation measures. For the area that still does not meet the standard after multiple compensations, the system automatically generates an operation and maintenance early warning and archives the data, so as to realize closed-loop tracing. For the area with the bending light decay compensation value less than or equal to the compensation limit threshold, the energy-saving operation and the brightness stability are maintained, the nodes with the bending light decay compensation value within a relative difference of 3% of the compensation limit threshold are continuously monitored, and the brightness is timely responded when a downward trend is detected, so as to further ensure the display consistency and long-term reliability of the entire lamp strip in the complex bending environment.

[0036] Specifically, for the running performance data and thermal management data of the LED, the specific steps for evaluating the bending area thermal load state are: obtaining the actual power consumption of the i-th LED unit, the bending light attenuation compensation value, the bending light attenuation compensation reference value, and the heat dissipation amount data per unit time. The actual power consumption is calculated by the direct current circuit power physical formula according to the real-time driving current and voltage acquisition results of each LED node, which can accurately reflect the current energy consumption level of the node. The bending light attenuation compensation value reflects the brightness correction amount required by the LED in the bending area due to factors such as deformation and light attenuation, and the bending light attenuation compensation reference value is obtained by analyzing the long-term actual bending light attenuation compensation value of the LED without bending area, which represents the compensation reference under standard working conditions. The bending light attenuation compensation value of the i-th LED unit is compared with the bending light attenuation compensation reference value, and a correction term of the bending compensation load is obtained by adding one. This correction term is used to quantify the increase or decrease amplitude of the actual compensation demand relative to the reference state. Then, the bending compensation load correction term is multiplied by the actual power consumption, and the heat dissipation amount per unit time is deducted, and finally the thermal load regulation value of the i-th LED unit is obtained. This value not only comprehensively reflects the actual thermal load and heating risk of the bending area node, but also provides accurate quantitative decision basis for subsequent dynamic thermal management measures, driving strategy adjustment and regional risk warning.

[0037] The thermal load regulation value formula is as follows: ; In the formula, the thermal load regulation value of the i-th LED unit, which is used to reflect the current comprehensive heating risk and thermal management pressure of the unit; the actual power of the i-th LED unit, which is obtained by real-time acquisition of the driving current and voltage of the LED and using the power calculation formula, representing the current energy consumption level of the node; the bending light attenuation compensation value of the i-th LED unit, which refers to the intensity of light flux attenuation and brightness compensation required due to bending; the bending light attenuation compensation reference value, which is used as the reference of the compensation amplification ratio; the heat dissipation amount of the i-th LED unit per unit time, which reflects the heat energy released by the LED lamp bead per unit time through natural convection, forced air cooling and other ways.

[0038] ​​​​​Table 1 shows a comparison table of LED unit heat load assessment and compensation parameters provided in this application embodiment. In this embodiment, the actual power of the first LED unit is 1.25, the bending light decay compensation value is 0.10, the bending light decay compensation reference value is 0.30, and the heat loss is 0.25, resulting in a calculated heat load control value of 1.17; the actual power of the second LED unit is 1.65, the bending light decay compensation value is 0.55, the bending light decay compensation reference value is 0.40, and the heat loss is 0.32, resulting in a calculated heat load control value of 2.90; the actual power of the third LED unit is 1... The actual power of the first LED unit is 1.95, the bending light decay compensation value is 0.45, the bending light decay compensation reference value is 0.38, the heat loss is 0.15, and the calculated heat load control value is 4.10. The actual power of the second LED unit is 2.30, the bending light decay compensation value is 0.75, the bending light decay compensation reference value is 0.50, the heat loss is 0.40, and the calculated heat load control value is 5.05.

[0039] Table 1 Comparison of LED Unit Heat Load Assessment and Compensation Parameters

[0040] like Figure 3 The diagram shows a radar chart illustrating the thermal risk distribution of LED units provided in this application embodiment. According to Table 1 and the distribution curves of each unit in the diagram, different LED units exhibit significant differences in power output, compensation amplification, and heat dissipation performance, forming multi-dimensional thermal response characteristics. For example, the thermal load control values ​​of units 5 and 4 are 5.05 and 4.10, respectively, significantly higher than other units. Their actual power reaches 2.30 W and 1.95 W, respectively, and their bending light decay compensation values ​​are 0.75 and 0.45, both in the high range, indicating that their thermal management pressure increases significantly under high power drive and large compensation intensity conditions. Relatively speaking, unit 1 has the smallest radar area, with a thermal load control value of 1.17, a corresponding bending light decay compensation reference value of 0.30, and a heat loss of 0.25, placing it in the overall thermal equilibrium zone, indicating stable energy consumption and sufficient heat dissipation. The characteristics of units 2 and 3 are between the two, with thermal load control values ​​of 2.90 and 2.78, respectively, exhibiting moderate heat generation risk and local compensation fluctuations. Overall, the thermal risk radar map can intuitively depict the comprehensive status of each LED unit in terms of heat generation, compensation, and heat dissipation. It helps to identify high-heat-risk nodes and provide targeted thermal management optimization basis for LED strips in bending areas, thereby achieving refined thermal control and dynamic safety scheduling of the LED strip system.

[0041] In the embodiment, through the collection and comprehensive analysis of multi-dimensional core data such as the actual power consumption of each LED node, the bending light attenuation compensation value, the bending light attenuation compensation reference value, and the heat dissipation amount per unit time, dynamic quantitative evaluation of the bending area heat load state is realized. Through the calculation of the ratio of the bending light attenuation compensation value to the bending light attenuation compensation reference value, the increase or decrease amplitude of the current compensation strength relative to the standard state is scientifically measured. Multiply this correction term by the actual power consumption of the node, and then deduct the heat dissipation amount to obtain the final heat load regulation value. The heat load regulation value provides an intuitive and quantitative criterion for the heat generation risk and heat dissipation capacity of the bending area, which helps the subsequent precise decision-making of automatic heat management, driving parameter adjustment, and regional risk warning, and ensures the long-term stable and efficient operation of the LED light strip under complex deformation working conditions.

[0042] Specifically, the specific steps of implementing heat management measures and generating regional operation and maintenance warnings according to the heat load evaluation results are as follows: real-time comparison of the heat load regulation value of each LED node with the set load threshold value to comprehensively grasp the heat management state of the bending area. When the heat load regulation value is greater than the load threshold value, multiple heat management measures are started: preferentially reducing the driving current and brightness control signal duty cycle of the LED in the bending area to reduce the heat generation power consumption from the source; control the local fan in the bending area to enter the high-efficiency working state, and dynamically match the actual heat load change by using fan step adjustment and hysteresis strategy. The fan step adjustment and hysteresis strategy specifically includes: only when the heat load regulation value continuously exceeds the load threshold value, the fan speed is ensured to run, and only when the regulation value continuously falls below the load threshold value and remains for a certain time, the speed is slowly reduced to prevent system jitter caused by frequent start-stop; at the same time, the fan speed linearly increases with the heat load regulation value, starting from the lowest speed and gradually increasing to the maximum speed, and maintaining for a minimum time after the temperature falls, ensuring the coherence of the local heat dissipation process and the service life of the fan. Self-adaptively optimize the fan gradual curve combined with the historical heat load trend to eliminate heat response lag and buffer heat dissipation margin. Temporarily adjust the display task allocation to dynamically transfer the high brightness demand to other areas with a heat load regulation value less than the load threshold value to balance the temperature rise risk of the entire light strip. If the heat load regulation value is still greater than the load threshold value after multiple rounds of heat management measures, an inspection and cleaning maintenance warning for the bending area will be automatically generated and pushed to the operation and maintenance end in time for manual troubleshooting and maintenance intervention. For areas with a heat load regulation value less than or equal to the load threshold value, the current driving settings and heat dissipation state are maintained without additional adjustment. The heat load of the bending area is dynamically monitored, and all operation data is archived to the bending management database to provide detailed basis for subsequent operation and maintenance analysis and system optimization.

[0043] In this embodiment, this step realizes intelligent thermal management of the bending area by comparing the thermal load regulation value and the load threshold value in real time, dynamically adjusts the LED drive current and the local fan speed, adopts a hysteresis interval and a gradual change strategy, improves the heat dissipation efficiency and prevents frequent start-stop. For the abnormally high temperature area, timely operation and maintenance warning is generated to ensure the thermal stability and safety of the LED light strip in complex bending environment.

[0044] Specifically, the specific steps of realizing data closed-loop management and partitioned operation and maintenance traceability through the interface to display running performance data and abnormal alarm information in real time are as follows: the interface adopts an LED number partition index mode, and the user can quickly locate the monitoring information of each LED node by block. The system displays the physical coordinates, actual detection brightness, target brightness, bending light attenuation compensation value, bending light attenuation compensation reference value and LED unit thermal risk distribution radar chart of each LED in real time, and all data are synchronously displayed in the form of intuitive charts, trend curves and multi-level alarm indicator lights, which not only clearly reflects the historical changes of each core parameter, but also displays the current distribution state in real time. For each LED node, the pixel physical mapping deviation value, the bending light attenuation compensation value and the thermal load regulation value are all set with independent dynamic alarm mechanisms, and once any parameter exceeds the threshold value, the abnormal area will be highlighted and a pop-up window will be prompted on the interface, which is convenient for the on-duty personnel to respond in time. All trigger actions and regulation records related to parameter threshold value changes are automatically archived to the bending management database, ensuring that the compensation, correction, thermal control and other links are traceable, forming a data closed loop. The user can retrieve and check the detailed historical data of any node through the interface, track the compensation measure adjustment records and inspection and maintenance warning content, and support partitioned report export, which is convenient for subsequent statistical analysis and operation and maintenance archiving, and provides efficient and visual support for intelligent operation and maintenance and fault tracing of the LED light strip.

[0045] In this embodiment, this step realizes intelligent thermal management of the bending area by comparing the thermal load regulation value and the load threshold value in real time, dynamically adjusts the LED drive current and the local fan speed, adopts a hysteresis interval and a gradual change strategy, improves the heat dissipation efficiency and prevents frequent start-stop. For the abnormally high temperature area, timely operation and maintenance warning is generated to ensure the thermal stability and safety of the LED light strip in complex bending environment.

[0046] Specifically, as Figure 2As shown, the system structure diagram of the LED lamp strip video imaging control method and system based on pixel coordinate mapping provided by the embodiment of the application is provided. The embodiment provides an LED lamp strip video imaging control system based on pixel coordinate mapping, which is applied to the LED lamp strip video imaging control method based on pixel coordinate mapping. The system includes a video input module, a pixel coordinate mapping module, a light decay compensation module, a thermal management and heat dissipation control module, and a user interface and monitoring module. Each module cooperates to realize intelligent control of the whole process of video imaging and running state of the LED lamp strip under a complex deformation scene. The video input module acquires geometric structure data and running performance data of the LED lamp strip in real time through a high-precision position sensor and an image acquisition device, completes data standardization processing, and archives the data to a bending management database according to a unified coding specification. The pixel coordinate mapping module dynamically analyzes the mapping deviation between video pixel coordinates and physical LED positions based on the real-time collected geometric structure data, optimizes and adjusts the display mapping relationship and color consistency of the bending area by combining a coordinate refining algorithm and a light color control method. The light decay compensation module further analyzes the bending light decay compensation of the collected geometric parameters and running performance data, automatically adjusts the driving current and PWM duty cycle of each node according to the analysis result, realizes brightness correction, and timely warns of light decay abnormalities. The thermal management and heat dissipation control module comprehensively evaluates the thermal load state of the bending area by analyzing the real-time running performance data and thermal management parameters of the LED nodes, intelligently implements multi-level thermal management measures according to the evaluation result, dynamically adjusts the driving and heat dissipation strategies, and generates regional operation and maintenance warnings to support subsequent maintenance decisions. The user interface and monitoring module realizes real-time visual display, historical data tracing, and report export of running parameters and abnormal states through charts, alarms, and partition indexes, supports data closed-loop management and partition intelligent operation and maintenance of the whole system, and significantly improves the running stability and reliability of the LED lamp strip in a bending complex environment.

[0047] In the embodiment, the video input module, the pixel coordinate mapping module, the light decay compensation module, the thermal management and heat dissipation control module, and the user interface and monitoring module are used to realize the whole-process closed-loop management of the LED lamp strip video imaging control. Each module cooperates to complete data acquisition, normalized storage, mapping refinement, brightness and color compensation, dynamic thermal management, and partition abnormality warning and visual operation and maintenance. The system can monitor the state of each LED node in real time and dynamically control in a complex bending environment, guarantee the comprehensive optimization of display effect, energy consumption, and thermal safety, and provide solid support for high-reliability and fine intelligent lamp strip operation and maintenance.

[0048] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other presenters can develop. It is also possible, however, that only a single element can be present. It is further noted that such a term as "comprising" is intended to mean that the embodiments include the recited elements, but not excluding other elements. "Consisting essentially of when used herein in relation to a composition, means that the composition includes the recited elements, and can include additional elements, so long as the additional elements do not materially alter the basic and novel characteristics of the claimed composition. "Consisting of" when used herein in relation to a composition, means that the composition includes the recited elements, and no additional elements.

[0049] The preferred embodiments of the application disclosed above are only to help explain the principles of the present application. The preferred embodiments do not describe all the details of the present application, nor limit the present application to only the specific embodiments described. It is apparent that many modifications and variations can be made to the present application based on the content of the present disclosure. The present disclosure selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. A video imaging control method for LED light strips based on pixel coordinate mapping, comprising the following steps: S1, acquire the geometric structure data and operating performance data of the LED light strip and preprocess them, store the geometric structure data and operating performance data and build a bending management database; S2, based on the geometric structure data of the light strip, analyzes the mapping deviation between pixel coordinates and physical coordinates in real time, and performs coordinate refinement and color coordination adjustment on the bending area according to the mapping deviation analysis results; S3 acquires geometric structure data and operating performance data and performs bending light decay analysis. Based on the compensation results, it adjusts the drive current and PWM duty cycle to achieve brightness correction and light decay warning. S4 assesses the thermal load status of the bending area based on the LED's operating performance data and thermal management data, implements thermal management measures based on the thermal load assessment results, and generates regional operation and maintenance early warnings. S5 displays real-time performance data and anomaly alarm information through its interface, enabling closed-loop data management and zoned operation and maintenance traceability.

2. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for acquiring and preprocessing the geometric structure data and operational performance data of the LED light strip, storing the geometric structure data and operational performance data, and constructing a bending management database are as follows: Obtain the geometric structure data and operational performance data of the LED light strip: Geometric data acquisition: Video pixel coordinates are obtained in real-time through image acquisition, acquiring the pixel number of each pixel in the video image; LED strip physical coordinates are measured using a high-precision position sensor, measuring the LED bead number of each LED; the arc length distance between the LED bead and the bending center is obtained through measurement tools and geometric calculations based on the strip wiring structure and installation parameters; the LED strip bending radius is obtained by measuring the actual installation shape using a handheld diameter gauge; the local bending angle of the LED is calculated using an attitude sensor and structural geometric analysis methods; the arc length from the LED to the bending center is estimated by combining the strip wiring structure and actual measurement data. Obtaining operational performance data: Actual brightness is detected and monitored in real time using an illuminance sensor; target brightness is configured according to display requirements and parameters. The bending light decay compensation reference value is obtained by statistical analysis of the actual long-term bending light decay compensation value of LEDs under normal lighting and non-bending areas; the actual power consumption is calculated by the real-time acquisition results of LED driving current and voltage through the power physics formula of DC circuit; the heat loss per unit time is obtained by monitoring the surface temperature change of LED nodes with an infrared thermal imager and combining it with the historical temperature data of the bending management database for statistical analysis. The collected geometric structure data and operational performance data are standardized in terms of data format, timestamp, and encoding. All numerical parameters are linearly normalized and scaled to a uniform range. Status parameters are mapped to calculable range values ​​based on their level or standard operating conditions to improve the consistency of calculations between parameters. The standardization and normalization of all parameters are completed. The collected geometric structure data and operational performance data are stored, and a bending management database is constructed using a hybrid architecture design of distributed relational structure and log storage.

3. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for analyzing the mapping deviation between pixel coordinates and physical coordinates in real time based on the geometric structure data of the LED strip are as follows: Get the pixel number of the Kth pixel, the... The LED bead number, video pixel coordinates, physical coordinates of the light strip, arc distance from the bending center, bending radius of the light strip, and local bending angle of each LED bead; Calculate the first in the x and y directions respectively. The bending ratio is obtained by dividing the arc length distance between each LED bead and the bending center by the bending radius of the light strip. The difference between the pixel coordinates in the video and the physical coordinates of the corresponding LED bead on the light strip is multiplied by the bending ratio, then multiplied by a factor, and finally by the bending angle influence factor and the sine of the local bending angle. This yields the mapping from the Kth pixel in the video image to the Kth LED bead in the x and y directions. The physical coordinate deviation value of the first LED bead; the square root of the sum of the squares of the physical coordinate deviation values ​​in the x and y directions is taken using the Euclidean distance formula to obtain the first LED bead. The pixel physical mapping deviation value of each LED bead.

4. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for performing coordinate refinement and coordinated adjustment of light and color in the bent region based on the mapping deviation analysis results are as follows: The pixel physical mapping deviation value and the deviation threshold are compared in real time. When the pixel physical mapping deviation value is greater than the deviation threshold, the LED brightness in the curved area is increased to compensate for the light flux loss caused by the bending. The coordinate mapping relationship is corrected by least squares polynomial curve fitting technology, and the fitting adjustment is not more than three times. To improve the contrast of the deviation area, if the color temperature difference between the curved area and the surrounding area is greater than 300K, prioritize increasing the current of the cool color channel. Each adjustment should not exceed 5% of the current of the current channel. If the color temperature difference is still greater than 100K after three adjustments, adjust the warm color channel. If the pixel physical mapping deviation value is still greater than the deviation threshold, the bending light decay compensation module will be entered. When the pixel physical mapping deviation value is less than or equal to the deviation threshold, the current brightness and control parameters are maintained, and the display effect of the curved area is monitored. If the brightness is found to be gradually decreasing, the color distribution is abnormal, or the pixel physical mapping deviation value is found to be rising, an alarm is triggered and the data changes are recorded and archived to the bending management database.

5. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for obtaining geometric parameters and operational performance data and conducting bending light decay compensation analysis are as follows: Get the The physical mapping deviation of each LED pixel, the local bending angle, the arc distance from the bending center, the bending radius of the light strip, the actual detected brightness and the target brightness are calculated; the calculation of the first... The bending ratio is obtained by dividing the arc length distance between each LED bead and the bending center by the bending radius of the light strip. Calculate the pixel mapping deviation weight factor multiplied by the first... The mapping error correction term is obtained by taking the physical mapping deviation value of each LED pixel, the angle correction term is obtained by multiplying the absolute value of the local bending angle by the bending angle weight factor, and the curvature correction term is obtained by multiplying the curvature influence weight factor by the bending ratio value. The three terms are added together and then one is added to obtain the comprehensive correction value. The ratio of the target brightness to the actual detected brightness is used to obtain the brightness difference ratio of the LED beads; The overall correction value is calculated by multiplying the ratio of LED brightness differences by the global brightness calibration factor to obtain the bending light decay compensation value.

6. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for adjusting the drive current and PWM duty cycle based on the compensation result to achieve brightness correction and light decay warning are as follows: The system compares the bending light decay compensation value with the compensation threshold in real time. When the bending light decay compensation value is greater than the compensation threshold, a brightness compensation operation is performed: the driving current and PWM duty cycle of the LEDs in the bending area are increased, and the brightness of LEDs in the display boundary and high curvature area that are less than the target brightness are adjusted in stages to keep the brightness change between adjacent LEDs within a 3% relative difference, preventing bright spots, dark bands and visual breaks caused by local compensation; continuous monitoring of the edges and high curvature areas is strengthened. After each adjustment, the brightness data and pixel physical mapping deviation value of the adjusted area are collected and calculated again. If the bending light decay compensation value is still greater than the compensation threshold, an operation and maintenance early warning report is generated and stored in the bending management database. When the bending light decay compensation value is less than or equal to the compensation limit threshold, the current LED drive current and brightness control signal settings are maintained to save energy and prevent over-brightness. The brightness change and compensation effect in the bending area are monitored, and key monitoring and recording are carried out in the area where the bending light decay compensation value reaches 10% of the compensation limit threshold. If a downward trend in brightness is detected, brightness compensation operation is also performed.

7. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for evaluating the thermal load status of the bending area based on the LED's operating performance data and thermal management data are as follows: Get the The actual power consumption of each LED unit, the bending light decay compensation value, the bending light decay compensation reference value, and the heat loss per unit time; Calculate the first The bending light decay compensation value of each LED unit is increased by one to obtain the bending compensation load correction term. Then, the bending compensation load correction term is multiplied by the actual power minus the heat loss per unit time to obtain the heat load control value.

8. The LED strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for implementing thermal management measures and generating regional operation and maintenance early warnings based on heat load assessment results are as follows: The heat load control value and the load threshold are compared in real time. When the heat load control value is greater than the load threshold, thermal management measures are implemented for the LEDs in the bending area: reduce the driving current and brightness control signal duty cycle of the LEDs in the bending area, start the local fan in the bending area, and gradually reduce the fan speed while keeping the fan running after the heat load control value is less than the load threshold. Temporarily adjust the display task allocation, shifting high brightness requirements to areas where other light strip load control values ​​are below the load threshold; If the heat load control value still exceeds the load threshold after thermal management measures are taken, an early warning for inspection and cleaning maintenance will be generated for the curved area. When the load control value of the light strip is less than or equal to the load threshold, the current drive settings and heat dissipation status will be maintained without additional adjustment. At the same time, the thermal load changes in the bending area will be continuously monitored, the operating data will be recorded and archived to the bending management database.

9. The LED light strip video imaging control method based on pixel coordinate mapping according to claim 1, characterized in that: The specific steps for achieving closed-loop data management and partitioned operation and maintenance traceability by displaying real-time performance data and abnormal alarm information through the interface are as follows: The interface uses LED number partitioning index to display the physical coordinates, actual detected brightness, target brightness, bending light decay compensation value, bending light decay compensation reference value, and heat loss per unit time for each LED in real time. It also synchronously displays historical parameter changes and current distribution through charts, curves, and alarm indicators. Dynamic alarms are set for the pixel physical mapping deviation value, bending light decay compensation value, and heat load control value of each LED node, highlighting abnormal areas in real time and recording all threshold changes and trigger actions in the bending management database, forming a closed-loop data process. Users can interactively view detailed historical data, compensation measure adjustment records, and inspection and maintenance early warning content for any node through the interface, and export partition operation reports.

10. A video imaging control system for LED strip lights based on pixel coordinate mapping, employing the video imaging control method for LED strip lights based on pixel coordinate mapping as described in any one of claims 1-9, characterized in that... ,include: The video input module is used to acquire and preprocess the geometric structure data and operating performance data of the LED light strip, store the geometric structure data and operating performance data, and build a bending management database. The pixel coordinate mapping module is used to analyze the mapping deviation between pixel coordinates and physical coordinates in real time based on the geometric structure data of the light strip, and to perform coordinate refinement and color coordination adjustment on the bending area based on the mapping deviation analysis results. The light decay compensation module is used to acquire geometric parameters and operating performance data and perform bending light decay compensation analysis. Based on the compensation results, the drive current and PWM duty cycle are adjusted to achieve brightness correction and light decay warning. The thermal management and heat dissipation control module is used to assess the thermal load status of the bending area based on the LED's operating performance data and thermal management data, implement thermal management measures based on the thermal load assessment results, and generate regional operation and maintenance early warnings. The user interface and monitoring module are used to display real-time performance data and abnormal alarm information through the interface, so as to realize closed-loop data management and regional operation and maintenance traceability.

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