LED bulb cloud data processing system

Abstract

The invention belongs to the field of LEDs, and particularly relates to an LED bulb cloud data processing system which comprises a lighting instruction sending module, a lighting effect inspection module, a lamp bead self-adaption regulation and control module, a potential fault lamp bead recognition module and an auxiliary lighting work module. The execution effect of the target LED bulb aiming at the control instruction of the illumination area covered by the target LED bulb is checked, all the lamp beads which do not reach the standard in work are recognized, specific regulation and control objects and regulation and control parameters of the target LED bulb are determined, and the self-adaptive regulation and control process of all the lamp beads which do not reach the standard in work of the target LED bulb is started; the target LED bulb is screened for each potential fault lamp bead in the execution process of the control instruction of the illumination area covered by the target LED bulb, the fault probability of each potential fault lamp bead is evaluated, auxiliary illumination work is carried out, and the fault processing capacity and the continuity of the illumination quality of the whole illumination system of the LED bulb with the multi-lamp-bead structure are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the field of LEDs, and specifically relates to an LED bulb cloud data processing system. Background Art

[0002] With the continuous progress of LED technology, LED bulbs, with their significant advantages such as high energy efficiency, long lifespan, and environmental friendliness, have gradually replaced traditional lighting devices and taken the leading position in the modern lighting field. Of particular note are LED bulbs with a multi-bead structure, which have unique properties and can independently control the brightness and color temperature of each bead to achieve a more diverse, flexible, and user-personalized lighting effect. However, at the same time, LED bulbs with a multi-bead structure also face the challenge of a substantial increase in the complexity of lighting data management. To achieve efficient lighting management of LED bulbs with a multi-bead structure, LED bulb cloud data processing has emerged.

[0003] In the prior art, there are also some solutions related to the lighting management of LED bulbs with a multi-bead structure. For example, a multi-level color adjustment LED bead control and regulation management system with the Chinese patent publication number CN114025449B arranges a building lighting structure on the corresponding illuminated floor of a building and performs systematic procedural adjustment of the building lighting structure based on the illuminated festival scene. Then, after the adjustment, starting from internal and external influencing factors, on the one hand, it detects the actual lighting parameters of the LED beads, and on the other hand, it identifies obstacles in the environment around the illuminated building, thereby making flexible supplementary adjustments to the lighting parameters of the LED beads based on the above influencing factors and improving the adjustment management method of the LED beads during the building lighting process.

[0004] Another Chinese patent with the publication number CN117354986A discloses an intelligent control method and system for a multi-functional LED bead. First, it identifies the target user's behavior pattern, combines it with the operating parameters of the LED beads to obtain the behavior-light operating parameters of the target user, identifies the environmental factors affecting the user's lighting control, and accordingly obtains the environment-light operating parameters of the user's location. Then it constructs a target user lighting operation prediction model to predict the future operating parameters of the LED beads, and based on this, forms an automatic adjustment plan. Finally, it formulates an LED bead control plan to effectively adjust the LED lighting according to the user's behavior and environmental factors, achieving personalized and intelligent lighting and improving the user experience and energy-saving effect.

[0005] Although the above solutions propose some methods for solving the lighting management of LED bulbs with a multi-bead structure, the prior art still has the following limitations: 1. The prior art lacks the ability to immediately evaluate the lighting effect of the beads and cannot quickly and accurately measure and analyze the actual lighting effect of each bead during the lighting process, making it difficult to grasp the real-time working state of the beads.

[0006] 2. The prior art lacks an instant lamp bead adaptive regulation mechanism and relies too much on the pre-predicted adjustment scheme, resulting in a serious lag in the feedback response ability and a significant reduction in accuracy, and being unable to fully exert the advantages of high efficiency, flexibility, and accurate lighting of the multi-lamp bead structure LED bulb, thus greatly limiting the application scenarios.

[0007] 3. The prior art's judgment of the lighting failure of the multi-lamp bead structure LED bulb relies on the feedback of lighting effects, such as potential manifestations such as unqualified lighting brightness, and ignores the in-depth consideration of the working current, working temperature, and spectral performance, resulting in difficulty in accurately detecting and locating potential faults, thus seriously restricting the reliability, stability, and efficiency of the multi-lamp bead structure LED bulb lighting system. Summary of the Invention

[0008] In order to overcome the deficiencies in the background art, the embodiments of the present invention provide an LED bulb cloud data processing system, which can effectively solve the problems involved in the above background art.

[0009] The object of the present invention can be achieved by the following technical solutions: An LED bulb cloud data processing system includes: a lighting instruction sending module, a lighting effect inspection module, a lamp bead adaptive regulation module, a potential fault lamp bead identification module, and an auxiliary lighting work module.

[0010] The lighting instruction sending module is connected to the lighting effect inspection module, the lighting effect inspection module is connected to the lamp bead adaptive regulation module, the lamp bead adaptive regulation module is connected to the potential fault lamp bead identification module, and the potential fault lamp bead identification module is connected to the auxiliary lighting work module.

[0011] The lighting instruction sending module is used to send a control instruction set for its covered lighting area to the target LED bulb, including the lighting position coordinates, lighting brightness, and lighting chromaticity coordinates of each working lamp bead.

[0012] The lighting effect inspection module is used to inspect the execution effect of the control instruction of the target LED bulb for its covered lighting area and identify each working unqualified lamp bead.

[0013] The lamp bead adaptive regulation module is used to determine the specific regulation objects and regulation parameters of each working unqualified lamp bead, and start the adaptive regulation process of each working unqualified lamp bead of the target LED bulb, including iterative regulation and output of the logical state of the regulation target completion.

[0014] The potential fault lamp bead identification module is used to screen each potential fault lamp bead in the process of the target LED bulb executing the control instruction for its covered lighting area according to the completion status of the adaptive regulation process of each working unqualified lamp bead of the target LED bulb, evaluate the fault probability of each potential fault lamp bead and give feedback.

[0015] Auxiliary lighting working module, used to perform auxiliary lighting work for each potentially faulty lamp bead.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By inspecting the execution effect of the control instruction of the target LED bulb for its covered lighting area, the present invention accurately identifies the lamp beads with unqualified work, effectively making up for the deficiencies of the prior art in the accuracy of instruction sending and the comprehensiveness of effect inspection.

[0017] (2) By determining the specific regulation objects and regulation parameters of each lamp bead with unqualified work, the present invention starts the adaptive regulation process of each lamp bead with unqualified work of the target LED bulb, overcomes the defect of the lack of an immediate adaptive regulation mechanism in the prior art, and greatly improves the intelligent level of lighting management and the adaptability to different lighting requirements.

[0018] (3) By accurately screening each potentially faulty lamp bead in the process of executing the control instruction of the target LED bulb for its covered lighting area, evaluating the failure probability of each potentially faulty lamp bead and performing auxiliary lighting work for each potentially faulty lamp bead, the present invention significantly improves the fault handling ability of the entire lighting system of the multi-lamp-bead structure LED bulb and the continuity of lighting quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the following drawings without creative efforts.

[0020] Figure 1 It is a schematic diagram of the module connection of the present invention.

[0021] Figure 2 It is a schematic diagram of the structure of the target LED bulb of the present invention.

[0022] Figure 3 It is a reference schematic diagram for cutting the effective lighting area of the working lamp beads of the present invention into each effective lighting ring area according to the predefined principle.

[0023] Reference numerals: 1. Lamp bead. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0025] Reference Figure 1 and Figure 2 As shown, the present invention provides an LED bulb cloud data processing system, including: a lighting instruction sending module, a lighting effect inspection module, a lamp bead adaptive regulation module, a potential faulty lamp bead identification module, and an auxiliary lighting working module.

[0026] The lighting instruction sending module is connected to the lighting effect inspection module, the lighting effect inspection module is connected to the lamp bead adaptive regulation module, the lamp bead adaptive regulation module is connected to the potential faulty lamp bead identification module, and the potential faulty lamp bead identification module is connected to the auxiliary lighting working module.

[0027] The lighting instruction sending module is used to send a control instruction set for its covered lighting area to the target LED bulb, including the lighting position coordinates, lighting brightness, and lighting chromaticity coordinates of each working lamp bead.

[0028] The lighting effect inspection module is used to inspect the execution effect of the control instruction of the target LED bulb for its covered lighting area and identify each working non-compliant lamp bead therein.

[0029] Specifically, inspecting the execution effect of the control instruction of the target LED bulb for its covered lighting area includes: collecting an image of its covered lighting area according to the built-in integrated camera device of the target LED bulb, positioning the lighting position coordinates corresponding to each working lamp bead specified in the control instruction set in the image, and combining the preset effective lighting partition form of the lamp beads built in the target LED bulb to identify the effective lighting partitions of each working lamp bead in the image centered on its lighting position coordinates.

[0030] Determine the actual lighting base point coordinates of the effective lighting partitions of each working lamp bead in the image, compare them with the corresponding lighting position coordinates specified in the control instruction set, and analyze the lighting position deviation degree of each working lamp bead of the target LED bulb.

[0031] It should be noted that the specific analysis process of the lighting position deviation degree of each working lamp bead of the above target LED bulb is: substituting the actual lighting base point coordinates of the effective lighting partitions of each working lamp bead in the image and the corresponding lighting position coordinates specified in the control instruction set into the Euclidean distance formula, obtaining the deviation distance between the actual lighting base point coordinates of the effective lighting partitions of each working lamp bead in the image and the corresponding lighting position coordinates specified in the control instruction set, and performing ratio analysis with the preset reference deviation distance to obtain the lighting position deviation degree of each working lamp bead of the target LED bulb.

[0032] Reference Figure 3As shown, the effective illumination areas of each working lamp bead in the image are cut into each effective illumination ring area according to predefined principles. A preset number of pixel points are randomly selected in each effective illumination ring area, which are recorded as the detected pixel points of each effective illumination ring area of each working lamp bead. The illumination brightness and illumination chromaticity coordinates of the detected pixel points of each effective illumination ring area of each working lamp bead are obtained and compared with the illumination brightness and illumination chromaticity coordinates of the corresponding working lamp bead specified by the control instruction set, and the illumination brightness deviation degree and illumination chromaticity deviation degree of each working lamp bead are analyzed.

[0033] It should be noted that the above-mentioned predefined principle is to construct concentric circular ring areas with the illumination position coordinates in the effective illumination area of each working lamp bead as the center and the preset radius increasing in sequence. Numbering and sorting are implemented for each concentric circular ring area in ascending order of the radius, and they are marked as each effective illumination ring area.

[0034] Sort out the illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of each working lamp bead, so as to test the execution effect of the control instruction of the target LED lamp for its covered illumination area.

[0035] Specifically, the determination of the actual illumination base point coordinates of each working lamp bead in the image includes: converting the image color space, and taking the channel intensity value of each pixel point in the effective illumination area of each working lamp bead in the color space as its brightness amplitude , where is the number of each working lamp bead, , is the number of each pixel point in the effective illumination area, .

[0036] Based on the brightness amplitudes of each pixel point in the effective illumination area of each working lamp bead, analyze the brightness gradient amplitudes of each pixel point in the effective illumination area of each working lamp bead.

[0037] It should be noted that the specific analysis process of the brightness gradient amplitudes of each pixel point in the effective illumination area of each working lamp bead includes: constructing a brightness amplitude matrix of each pixel point in the effective illumination area of each working lamp bead, and performing convolution operations with the preset Sobel kernels in the horizontal and vertical directions respectively to obtain the horizontal direction gradient and the vertical direction gradient of each pixel point in the effective illumination area of each working lamp bead. The brightness gradient amplitude of each pixel point in the effective illumination area of each working lamp bead is obtained by the formula .

[0038] The channel intensity value of each pixel point in the effective illumination area of each working lamp bead in the Taking the channel intensity value as its chromaticity coordinate, analyze the chromaticity standard deviation of the unit circle region centered on each pixel point within the effective illumination area of each working lamp bead.

[0039] It should be noted that the specific analysis process of the chromaticity standard deviation of the unit circle region centered on each pixel point within the effective illumination area of each working lamp bead is to calculate the standard deviation corresponding to the channel intensity within the unit circle region centered on each pixel point within the effective illumination area of each working lamp bead, which are respectively denoted as , and the chromaticity standard deviation of the unit circle region centered on each pixel point within the effective illumination area of each working lamp bead is obtained by the formula .

[0040] Calculate the illumination base point correlation coefficient of each pixel point within the effective illumination area of each working lamp bead, screen the pixel point corresponding to the maximum illumination base point correlation coefficient within the effective illumination area of each working lamp bead as its actual illumination base point, and construct an image coordinate system to determine the actual illumination base point coordinates of each working lamp bead within the image.

[0041] It should be noted that the specific calculation formula for the illumination base point correlation coefficient of each pixel point within the effective illumination area of each working lamp bead is: , where

[0042] is the number of pixel points within the effective illumination area. Specifically, the analysis of the illumination brightness deviation degree and illumination chromaticity deviation degree of each working lamp bead includes: calculating the illumination brightness deviation ratio and illumination chromaticity deviation ratio of each detection pixel point in each effective illumination ring area of each working lamp bead, and obtaining the average illumination brightness deviation ratio and average illumination chromaticity deviation ratio of each effective illumination ring area of each working lamp bead through mean calculation,

[0043] where is the number of the effective illumination ring area, .

[0044] According to the reasonable illumination brightness deviation ratio and reasonable illumination chromaticity deviation ratio corresponding to the pixel points within the preset distance intervals from the illumination base point position within the preset effective illumination area of the built-in lamp beads of the target LED bulb, determine the reasonable illumination brightness deviation ratio and reasonable illumination chromaticity deviation ratio of each effective illumination ring area of each working lamp bead. The illumination brightness deviation degree and illumination chromaticity deviation degree of each working lamp bead are respectively analyzed by the formulas

[0045] .Specifically, the specific identification process of each non-compliant working lamp bead includes: comparing the illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of each working lamp bead with the preset warning thresholds of the corresponding illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of the built-in lamp beads of the target LED bulb. If the illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of a certain working lamp bead are all less than their corresponding preset warning thresholds, then identify this working lamp bead as a compliant working lamp bead; otherwise, identify this working lamp bead as a non-compliant working lamp bead, thereby identifying each non-compliant working lamp bead.

[0046] In the embodiment of the present invention, by inspecting the execution effect of the control instruction of the target LED bulb for its covered illumination area, the non-compliant working lamp beads are accurately identified, effectively making up for the deficiencies of the prior art in terms of the accuracy of instruction sending and the comprehensiveness of effect inspection.

[0047] The lamp bead adaptive regulation module is used to determine the specific regulation objects and regulation parameters of each non-compliant working lamp bead, and start the adaptive regulation process of each non-compliant working lamp bead of the target LED bulb, including iterative regulation and the output of the logical state of the regulation target completion.

[0048] It should be noted that the output value of the logical state of the regulation target completion is 1 or 0, where 1 represents the completion state of the regulation target and 0 represents the uncompleted state of the regulation target.

[0049] Specifically, the determination of the specific regulation objects and regulation parameters of each non-compliant working lamp bead includes: if the illumination position deviation degree of a certain non-compliant working lamp bead is greater than or equal to the preset warning threshold of the corresponding illumination position deviation degree of the built-in lamp bead of the target LED bulb, then determine the illumination position as the specific illumination regulation object of this non-compliant working lamp bead, and take the difference between the actual illumination base point coordinates of the effective illumination area of this non-compliant working lamp bead and the corresponding illumination position coordinates specified in the control instruction set as the illumination position regulation parameter.

[0050] If the illumination brightness deviation degree of a certain non-compliant working lamp bead is greater than or equal to the preset warning threshold of the corresponding illumination brightness deviation degree of the built-in lamp bead of the target LED bulb, then determine the illumination brightness as the specific illumination regulation object of this non-compliant working lamp bead, and take the difference between the average illumination brightness of the pixels in the effective illumination area of this non-compliant working lamp bead and the corresponding illumination brightness specified in the control instruction set as the illumination brightness regulation parameter.

[0051] If the illumination chromaticity deviation degree of a certain non-compliant working lamp bead is greater than or equal to the preset warning threshold of the corresponding illumination chromaticity deviation degree of the built-in lamp bead of the target LED bulb, then determine the illumination chromaticity as the specific illumination regulation object of this non-compliant working lamp bead, and take the difference between the average illumination chromaticity coordinates of the pixels in the effective illumination area of this non-compliant working lamp bead and the corresponding illumination brightness coordinates specified in the control instruction set as the illumination chromaticity regulation parameter.

[0052] In the embodiments of the present invention, by determining the specific regulation objects and regulation parameters of each non-compliant working lamp bead, the adaptive regulation process of each non-compliant working lamp bead of the target LED bulb is started, overcoming the defect that the prior art lacks an immediate adaptive regulation mechanism, and greatly improving the intelligent level of lighting management and the adaptability to different lighting requirements.

[0053] The potential fault lamp bead identification module is used to screen out each potential fault lamp bead in the process of executing the control instruction for the lighting area covered by the target LED bulb according to the completion status of the adaptive regulation process of each non-compliant working lamp bead of the target LED bulb, evaluate the fault probability of each potential fault lamp bead and give feedback.

[0054] Specifically, the screening conditions for each potential fault lamp bead in the process of executing the control instruction for the lighting area covered by the target LED bulb are: the number of iterative regulations reaches a preset value and the output logic state of the regulation target completion is 0.

[0055] Specifically, the evaluation of the fault probability of each potential fault lamp bead includes: collecting the working current value and working temperature value of each potential fault lamp bead, comparing them with the preset standard working current value and the safe working temperature threshold of the lamp beads built in the target LED bulb, and analyzing the current decay rate and high-temperature risk rate of each potential fault lamp bead.

[0056] The spectral curves of each potential fault lamp bead and each compliant working lamp bead are respectively collected through the integrated spectral detector built in the target LED bulb, the peak wavelength and full width at half maximum value in the spectral curve are obtained, and the spectral abnormality rate of each potential fault lamp bead is analyzed.

[0057] The current decay rate, high-temperature risk rate, and spectral abnormality rate of each potential lamp bead are accumulated, and the accumulated value is substituted into the hyperbolic tangent function to obtain the fault probability of each potential fault lamp bead.

[0058] The auxiliary lighting work module is used to carry out auxiliary lighting work for each potential fault lamp bead.

[0059] Specifically, the carrying out of auxiliary lighting work for each potential fault lamp bead includes: extracting the specific regulation object and its regulation parameters of each potential fault lamp bead. If the specific regulation object of a potential fault lamp bead is the lighting position or lighting chromaticity or the regulation parameter is a negative lighting brightness, the built-in spare lamp bead of the target LED bulb is called to replace the potential fault lamp bead to work, and it is required that the spare lamp bead carry out auxiliary lighting work according to the lighting position coordinates, lighting brightness, and lighting chromaticity coordinates specified in the control instruction set of the potential fault lamp bead.

[0060] If the specific control object of a potential faulty lamp bead is lighting brightness and the lighting brightness control parameter is a positive number, then compare the lighting chromaticity coordinates of the potential faulty lamp bead with those of its adjacent working standard lamp beads to determine whether the working standard lamp beads adjacent to the potential faulty lamp bead are qualified for auxiliary lighting work, count the number of working standard lamp beads adjacent to the potential faulty lamp bead that are qualified for auxiliary lighting work, and perform ratio analysis on the lighting brightness control parameter of the potential faulty lamp bead and the number of working standard lamp beads adjacent to the potential faulty lamp bead that are qualified for auxiliary lighting work, and accordingly increase the lighting brightness of each working standard lamp beads adjacent to the potential faulty lamp bead that are qualified for auxiliary lighting work to carry out auxiliary lighting work.

[0061] Specifically, the judgment condition for whether the working standard lamp bead adjacent to the potential faulty lamp bead is qualified for auxiliary lighting work is that the lighting chromaticity deviation ratio between the adjacent working standard lamp bead and the potential faulty lamp bead is less than or equal to the preset permitted lighting chromaticity ratio threshold of the same color system.

[0062] The embodiment of the present invention accurately screens the target LED bulbs for the potential faulty lamp beads during the execution of the control instructions for the lighting area covered by the target LED bulbs, evaluates the failure probability of each potential faulty lamp bead and performs auxiliary lighting work for each potential faulty lamp bead, thereby significantly improving the fault handling capability and the continuity of lighting quality of the entire lighting system of the multi-lamp bead structure LED bulb.

[0063] It should be noted that the cloud database is utilized in the analysis process of the present invention to store the preset effective lighting partition forms of the built-in lamp beads of the target LED bulb, store the reasonable lighting brightness deviation ratio and the reasonable lighting chromaticity deviation ratio corresponding to the pixel points in the preset effective lighting partitions of the built-in lamp beads of the target LED bulb whose distance from the lighting base point position is in each preset distance interval, store the preset warning thresholds of the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation corresponding to the working of the built-in lamp beads of the target LED bulb, store the preset standard operating current value and safe operating temperature threshold of the built-in lamp beads of the target LED bulb, and store the preset permitted lighting chromaticity ratio threshold of the same color system.

[0064] The data sources in the cloud database of this embodiment are shown in Table 1 below.

[0065] Table 1 Detailed description of data sources in cloud database

[0066]

[0067]

[0068] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar ways to replace them. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they shall fall within the protection scope of the present invention.

Claims

1. An LED bulb cloud data processing system, characterized in that, Including: A lighting instruction sending module, which is used to send a control instruction set for its covered lighting area to the target LED bulb, including the lighting position coordinates, lighting brightness, and lighting chromaticity coordinates of each working lamp bead; A lighting effect inspection module, which is used to inspect the execution effect of the target LED bulb for the control instruction of its covered lighting area and identify each working lamp bead that fails to meet the standard; A lamp bead adaptive regulation module, which is used to determine the specific regulation objects and regulation parameters of each working lamp bead that fails to meet the standard, and start the adaptive regulation process of each working lamp bead that fails to meet the standard of the target LED bulb, including iterative regulation and the output of the logical state of the completion of the regulation target; A potential fault lamp bead identification module, which is used to screen each potential fault lamp bead in the execution process of the control instruction of the target LED bulb for its covered lighting area according to the completion status of the adaptive regulation process of each working lamp bead that fails to meet the standard of the target LED bulb, evaluate the fault probability of each potential fault lamp bead and give feedback; An auxiliary lighting work module, which is used to carry out auxiliary lighting work for each potential fault lamp bead.

2. The LED bulb cloud data processing system according to claim 1, wherein: The inspection of the execution effect of the target LED bulb for the control instruction of its covered lighting area includes: collecting an image of its covered lighting area according to the built-in integrated camera device of the target LED bulb, positioning the lighting position coordinates corresponding to each working lamp bead specified in the control instruction set in the image, and combining the preset effective lighting partition form of the built-in lamp beads of the target LED bulb to identify the effective lighting partition of each working lamp bead in the image with its lighting position coordinates as the center; Determine the actual lighting base point coordinates of the effective lighting partition of each working lamp bead in the image, compare them with the corresponding lighting position coordinates specified in the control instruction set, and analyze the lighting position deviation degree of each working lamp bead of the target LED bulb; Cut the effective lighting partition of each working lamp bead in the image into each effective lighting ring area according to the predefined principle, randomly select a preset number of pixel points in each effective lighting ring area, record them as the detected pixel points of each effective lighting ring area of each working lamp bead, obtain the lighting brightness and lighting chromaticity coordinates of the detected pixel points of each effective lighting ring area of each working lamp bead, compare them with the lighting brightness and lighting chromaticity coordinates of the corresponding working lamp bead specified in the control instruction set, and analyze the lighting brightness deviation degree and lighting chromaticity deviation degree of each working lamp bead; Sort out the lighting position deviation degree, lighting brightness deviation degree, and lighting chromaticity deviation degree of each working lamp bead, so as to inspect the execution effect of the target LED bulb for the control instruction of its covered lighting area.

3. The LED bulb cloud data processing system according to claim 2, characterized in that: Determining the actual illumination base point coordinates of each working lamp bead in the image includes: converting the image to a color space, and using the channel intensity value of each pixel point in the effective illumination area of each working lamp bead in the color space as its brightness amplitude; Analyze the brightness gradient amplitude of each pixel point in the effective lighting partition of each working lamp bead according to the brightness amplitude of each pixel point in the effective lighting partition of each working lamp bead; For each pixel point within the effective illumination area of each working lamp bead, in the channel intensity value of the color space is used as its chromaticity coordinate, and the chromaticity standard deviation of the unit circular domain centered on each pixel point within the effective illumination area of each working lamp bead is analyzed; Calculate the lighting base point correlation coefficient of each pixel point in the effective lighting partition of each working lamp bead, screen the pixel point corresponding to the maximum lighting base point correlation coefficient in the effective lighting partition of each working lamp bead as its actual lighting base point, and construct an image coordinate system to determine the actual lighting base point coordinates of the effective lighting partition of each working lamp bead in the image.

4. An LED bulb cloud data processing system according to claim 2, characterized in that: Analyzing the illumination brightness deviation degree and illumination chromaticity deviation degree of each working lamp bead includes: calculating the illumination brightness deviation ratio and illumination chromaticity deviation ratio of each detection pixel point in each effective illumination ring area of each working lamp bead, and obtaining the average illumination brightness deviation ratio of each effective illumination ring area of each working lamp bead through average calculation and the average illumination chromaticity deviation ratio , where is the number of each working lamp bead, , is the number of each effective illumination ring area, ; Determine the reasonable illumination brightness deviation ratio of each effective illumination ring area of each working lamp bead according to the reasonable illumination brightness deviation ratio and the reasonable illumination chromaticity deviation ratio corresponding to the pixel points within the preset effective illumination partition of the built-in lamp beads of the target LED bulb, where the distance between the positions of the illumination base points is within each preset distance interval and the reasonable illumination chromaticity deviation ratio ; From the formula , Analyze the illumination brightness deviation and illumination chromaticity deviation of each working lamp bead respectively.

5. The LED bulb cloud data processing system according to claim 2, wherein: The specific identification process of each unqualified working LED bead includes: comparing the illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of each working LED bead with the preset warning thresholds of the corresponding illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of the built-in LED beads of the target LED bulb during operation. If the illumination position deviation degree, illumination brightness deviation degree, and illumination chromaticity deviation degree of a certain working LED bead are all less than their corresponding preset warning thresholds, then identify this working LED bead as a qualified working LED bead; otherwise, identify this working LED bead as an unqualified working LED bead. Thus, each unqualified working LED bead is identified.

6. The LED bulb cloud data processing system according to claim 5, characterized in that: The specific regulation objects and regulation parameters for determining each unqualified working LED bead include: if the illumination position deviation degree of a certain unqualified working LED bead is greater than or equal to the preset warning threshold of the corresponding illumination position deviation degree of the built-in LED beads of the target LED bulb during operation, then determine the illumination position as the specific illumination regulation object of this unqualified working LED bead, and use the difference between the actual illumination base point coordinates of the effective illumination area of this unqualified working LED bead and the corresponding illumination position coordinates specified in the control instruction set as the illumination position regulation parameter; if the illumination brightness deviation degree of a certain unqualified working LED bead is greater than or equal to the preset warning threshold of the corresponding illumination brightness deviation degree of the built-in LED beads of the target LED bulb during operation, then determine the illumination brightness as the specific illumination regulation object of this unqualified working LED bead, and use the difference between the average illumination brightness of the pixels in the effective illumination area of this unqualified working LED bead and the corresponding illumination brightness specified in the control instruction set as the illumination brightness regulation parameter; if the illumination chromaticity deviation degree of a certain unqualified working LED bead is greater than or equal to the preset warning threshold of the corresponding illumination chromaticity deviation degree of the built-in LED beads of the target LED bulb during operation, then determine the illumination chromaticity as the specific illumination regulation object of this unqualified working LED bead, and use the difference between the average illumination chromaticity coordinates of the pixels in the effective illumination area of this unqualified working LED bead and the corresponding illumination brightness coordinates specified in the control instruction set as the illumination chromaticity regulation parameter.

7. The LED bulb cloud data processing system according to claim 1, wherein: The screening conditions for each potential faulty LED bead during the execution of the control instructions for the covered illumination area of the target LED bulb are: the number of iterative regulations reaches the preset value and the output logic state of the regulation target completion is 0.

8. An LED bulb cloud data processing system according to claim 1, characterized in that: The evaluation of the failure probability of each potential faulty LED bead includes: collecting the working current value and working temperature value of each potential faulty LED bead, comparing them with the preset standard working current value and the safe working temperature threshold of the built-in LED beads of the target LED bulb, and analyzing the current decay rate and high-temperature risk rate of each potential faulty LED bead; respectively collecting the spectral curves of each potential faulty LED bead and each qualified working LED bead through the built-in integrated spectral detector of the target LED bulb, obtaining the peak wavelength and full width at half maximum value in the spectral curve, and analyzing the spectral abnormality rate of each potential faulty LED bead; accumulating the current decay rate, high-temperature risk rate, and spectral abnormality rate of each potential LED bead, substituting the accumulated value into the hyperbolic tangent function to obtain the failure probability of each potential faulty LED bead.

9. The LED bulb cloud data processing system according to claim 6, wherein: Performing auxiliary lighting work for each potential faulty lamp bead, including: extracting the specific regulation objects and regulation parameters of each potential faulty lamp bead. If the specific regulation object of a certain potential faulty lamp bead is the lighting position or lighting chromaticity or the lighting brightness with a negative regulation parameter, then call the built-in spare lamp bead in the target LED bulb to replace the potential faulty lamp bead to work, and require the spare lamp bead to perform auxiliary lighting work according to the lighting position coordinates, lighting brightness, and lighting chromaticity coordinates specified in the control instruction set of the potential faulty lamp bead; If the specific regulation object of a certain potential faulty lamp bead is lighting brightness and the lighting brightness regulation parameter is positive, then compare the lighting chromaticity coordinates of the potential faulty lamp bead with those of its adjacent qualified working lamp beads, judge whether there is an auxiliary lighting work qualification for each adjacent qualified working lamp bead of the potential faulty lamp bead, count the number of adjacent qualified working lamp beads with auxiliary lighting work qualification to the potential faulty lamp bead, perform a ratio analysis on the lighting brightness regulation parameter of the potential faulty lamp bead and the number of adjacent qualified working lamp beads with auxiliary lighting work qualification to the potential faulty lamp bead, and accordingly increase the lighting brightness of each adjacent qualified working lamp bead with auxiliary lighting work qualification to the potential faulty lamp bead to perform auxiliary lighting work.

10. An LED bulb cloud data processing system according to claim 9, characterized in that: The judgment condition for the adjacent qualified working lamp bead to the potential faulty lamp bead to have an auxiliary lighting work qualification is that the lighting chromaticity deviation ratio between the adjacent qualified working lamp bead and the potential faulty lamp bead is less than or equal to the preset permissible lighting chromaticity ratio threshold of the same color system.

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