A cloud data processing system for LED bulbs

Through real-time detection and adaptive regulation of the LED bulb cloud data processing system, the problems of instant lighting effect evaluation and fault identification of LED bulbs with multiple lamp beads are solved, and the intelligence of lighting management and system reliability are improved.

CN120343774BActive Publication Date: 2025-10-14JIANGMEN WANYI LIGHTING CO LTD
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
CN202510807411.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-10-14
Estimated Expiration
2045-06-17

AI Technical Summary

Technical Problem

Existing technologies lack the ability to instantly evaluate the lighting effects of LED bulbs and adaptive control mechanisms, and are unable to accurately identify and handle potential failures in multi-bead LED bulbs, resulting in delayed lighting management and insufficient system reliability.

Method used

An LED bulb cloud data processing system is used, including a lighting command sending module, an effect inspection module, a lamp bead adaptive control module and a potential fault identification module. By real-time detection of lamp bead position, brightness and chromaticity deviation, it can identify substandard lamp beads and perform adaptive control, screen out potential fault lamp beads and carry out auxiliary lighting work.

Benefits of technology

It realizes the real-time and accurate management of LED bulbs with multiple lamp beads, improves the intelligence level and fault handling capability of the lighting system, and ensures the continuity and stability of lighting quality.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120343774B_ABST
    Figure CN120343774B_ABST
Patent Text Reader

Abstract

The application belongs to the field of LED, and particularly relates to a LED bulb cloud data processing system, which comprises an illumination instruction sending module, an illumination effect inspection module, a lamp bead self-adaptive regulation and control module, a potential fault lamp bead identification module and an auxiliary illumination work module. The control instruction set of the covered illumination area is sent to the target LED bulb, the execution effect of the control instruction of the covered illumination area of the target LED bulb is inspected, each work substandard lamp bead is identified and the specific regulation and control object and the regulation and control parameter are determined, the self-adaptive regulation and control process of each work substandard lamp bead of the target LED bulb is started, each potential fault lamp bead in the execution process of the control instruction of the covered illumination area of the target LED bulb is screened, the fault probability of each potential fault lamp bead is evaluated, and the auxiliary illumination work is carried out, so that the fault processing capacity of the whole illumination system of the multi-lamp bead structure LED bulb and the continuity of the illumination quality are significantly improved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The application belongs to the field of LED, and particularly relates to an LED bulb cloud data processing system. BACKGROUND

[0002] With the continuous progress of LED technology, LED bulbs gradually replace traditional lighting devices and occupy a dominant position in the modern lighting field due to the advantages of high efficiency, long service life, environmental protection and the like. In particular, LED bulbs with a multi-lamp bead structure are worth paying attention to, which have unique performance and can independently regulate the brightness and color temperature of each lamp bead to achieve more diverse, flexible and personalized lighting effects. However, at the same time, the multi-lamp bead structure LED bulb also faces the challenge of a substantial increase in the complexity of lighting data management. In order to achieve efficient lighting management of the multi-lamp bead structure LED bulb, LED bulb cloud data processing emerges as the times require.

[0003] There are also some related solutions to the lighting management of the multi-lamp bead structure LED bulb in the prior art. For example, a multi-level color adjusting LED lamp bead control and adjustment management system disclosed in Chinese Patent Publication No. CN114025449B adjusts the system program of the building brightening structure based on the brightening holiday scene after the building brightening structure is arranged on the brightening floor of the building, and then adjusts the actual brightening parameters of the LED lamp bead from the internal and external influencing factors, detects the environment around the brightening building from the other side, and identifies the shielding object, so as to flexibly adjust the LED lamp bead brightening parameters based on the above influencing factors, and improve the adjustment and management mode of the LED lamp bead in the building brightening process.

[0004] Another Chinese Patent Publication No. CN117354986A discloses a kind of intelligent control method and system of multifunctional LED lamp bead, which first identifies the target user behavior mode, combines it with the LED lamp bead operating parameter to obtain the behavior-light operating parameter of the target user, identifies the environmental factors affecting the user's light regulation, and accordingly obtains the environment-light operating parameter of the user, constructs the target user light operating prediction model, predicts the future operating parameter of the LED lamp bead, and accordingly forms an automatic adjustment scheme, finally formulates the LED lamp bead control scheme, effectively adjusts the LED light according to the user behavior and environmental factors, realizes personalized and intelligent lighting, improves user experience and energy saving effect.

[0005] Although the above-mentioned scheme proposes some related solutions to the lighting management of the multi-lamp bead structure LED bulb, the prior art still has the following limitations. Specifically, 1) the prior art lacks real-time lamp bead light efficiency evaluation capability, and cannot quickly and accurately determine and analyze the actual lighting effect of each lamp bead during the lighting process, making it difficult to grasp the real-time working state of the lamp bead.

[0006] 2. The existing technology lacks an instant adaptive control mechanism for lamp beads and relies too much on advance prediction adjustment schemes, resulting in a serious lag in feedback response capabilities and a significant reduction in accuracy. It is unable to fully utilize the advantages of efficient, flexible and precise lighting that multi-lamp bead structure LED bulbs should have, thereby greatly limiting the application scenarios.

[0007] 3. Existing technologies for fault assessment of LED bulbs with multiple lamp beads rely on lighting effect feedback, such as potential manifestations such as lighting brightness not meeting standards, while ignoring in-depth consideration of operating current, operating temperature, and spectral performance. This makes it difficult to accurately detect and locate potential faults, thus severely restricting the reliability, stability, and efficiency of LED bulb lighting systems with multiple lamp beads. Summary of the Invention

[0008] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an LED bulb cloud data processing system, which can effectively solve the problems involved in the above background technology.

[0009] The purpose of the present invention can be achieved through the following technical solutions: A cloud data processing system for LED bulbs, including: a lighting instruction sending module, a lighting effect inspection module, a lamp bead adaptive control module, a potential fault lamp bead identification module and an auxiliary lighting working 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 control module, the lamp bead adaptive control 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 working module.

[0011] The lighting instruction sending module is used to send the control instruction set of 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 instructions of the target LED bulb for the lighting area it covers, and identify the lamp beads that do not meet the standards.

[0013] The lamp bead adaptive control module is used to determine the specific control objects and control parameters of each lamp bead that does not meet the working standards, and start the adaptive control process of each lamp bead that does not meet the working standards of the target LED bulb, including iterative control and control target completion logic state output.

[0014] The potential faulty lamp bead identification module is used to screen the potential faulty lamp beads in the target LED bulb during the execution of the control instructions for the lighting area it covers according to the completion status of the adaptive control process of the lamp beads that do not meet the standards of the target LED bulb, evaluate the failure probability of each potential faulty lamp bead and provide feedback.

[0015] The auxiliary lighting working module is used to carry out auxiliary lighting work for each potential 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) The present invention accurately identifies the substandard LED bulbs by testing the execution effect of the control instructions of the target LED bulb for the lighting area it covers, effectively making up for the shortcomings of the prior art in terms of the accuracy of instruction sending and the comprehensiveness of effect testing.

[0017] (2) The present invention determines the specific control objects and control parameters of each non-standard working lamp bead, and starts the adaptive control process of each non-standard working lamp bead of the target LED bulb, thereby overcoming the defect of the existing technology that lacks an instant adaptive control mechanism, and greatly improving the intelligence level of lighting management and adaptability to different lighting needs.

[0018] (3) The present invention accurately screens the target LED bulbs for each potential faulty lamp bead during the execution of the control instructions for the lighting area covered by the target LED bulb, 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0020] Figure 1 Schematic diagram of module connection of the present invention.

[0021] Figure 2 Schematic diagram of the target LED bulb structure of the present invention.

[0022] Figure 3 This is a reference schematic diagram of the effective lighting zones of the working lamp beads of the present invention being cut into various effective lighting ring zones according to predefined principles.

[0023] Figure numerals: 1. Lamp beads. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within 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 control module, a potential fault 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 control module, the lamp bead adaptive control 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 working module.

[0027] The lighting instruction sending module is used to send a control instruction set of 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 instructions of the target LED bulb for the lighting area it covers, and identify the lamp beads that do not meet the standards.

[0029] Specifically, the inspection of the execution effect of the control instructions of the target LED bulb for the lighting area it covers includes: collecting the image of the lighting area it covers according to the built-in integrated camera device of the target LED bulb, locating the lighting position coordinates of each working lamp bead in the image corresponding to the lighting position coordinates specified by the control instruction set, combining the preset effective lighting partition form of the built-in lamp beads of the target LED bulb, and identifying the effective lighting partition of each working lamp bead in the image with its lighting position coordinate as the center.

[0030] 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 by the control instruction set, and analyze the lighting position deviation 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 of each working lamp bead of the above-mentioned target LED bulb is: substituting the actual lighting base point coordinates of the effective lighting partition of each working lamp bead in the image and the corresponding lighting position coordinates specified by the control instruction set into the Euclidean distance formula, obtaining the deviation distance between the actual lighting base point coordinates of the effective lighting partition of each working lamp bead in the image and the corresponding lighting position coordinates specified by the control instruction set, and performing a ratio analysis with the preset reference deviation distance to obtain the lighting position deviation of each working lamp bead of the target LED bulb.

[0032] Reference Figure 3As shown, the effective lighting partition of each working lamp bead in the image is cut into each effective lighting ring area according to a predefined principle, and a preset number of pixel points in each effective lighting ring area are randomly selected and recorded as each detection pixel point of each effective lighting ring area of ​​each working lamp bead. The lighting brightness and lighting chromaticity coordinates of each detection pixel point of each effective lighting ring area of ​​each working lamp bead are obtained, and compared with the lighting brightness and lighting chromaticity coordinates of the corresponding working lamp bead specified by the control instruction set, and the lighting brightness deviation and lighting chromaticity deviation of each working lamp bead are analyzed.

[0033] It should be noted that the above-mentioned predefined principle is to use the lighting position coordinates within the effective lighting area of ​​each working lamp bead as the center of the circle, and to construct each concentric ring area in increasing order with a preset radius. Each concentric ring area is numbered and sorted in order from small to large in radius, and marked as each effective lighting ring area.

[0034] The lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of each working lamp bead are sorted out to test the execution effect of the control instructions of the target LED bulb for its covered lighting area.

[0035] Specifically, the actual lighting base point coordinates of each working lamp bead effective lighting partition in the image are determined, including: converting the image into Color space, each pixel in the effective lighting area of ​​each working lamp bead is Color space Channel intensity value as its brightness amplitude ,in For the number of each working lamp bead, , is the number of each pixel in the effective lighting area, .

[0036] According to the brightness amplitude of each pixel point in the effective lighting zone of each working lamp bead, the brightness gradient amplitude of each pixel point in the effective lighting zone of each working lamp bead is analyzed.

[0037] It should be noted that the specific analysis process of the brightness gradient amplitude of each pixel point in the effective lighting zone of each working lamp bead includes: constructing the brightness amplitude matrix of each pixel point in the effective lighting zone of each working lamp bead, performing convolution operations with the preset Sobel kernel in the horizontal and vertical directions respectively, and obtaining the horizontal gradient of each pixel point in the effective lighting zone of each working lamp bead. and vertical gradient , according to the formula Obtain the brightness gradient amplitude of each pixel point in the effective lighting area of ​​each working lamp bead.

[0038] Each pixel point in the effective lighting area of ​​each working lamp bead Color space The channel intensity value is used as its chromaticity coordinate, and the chromaticity standard deviation of the unit circle with each pixel point as the center within the effective lighting partition of each working lamp bead is analyzed.

[0039] It should be noted that the specific analysis process of the chromaticity standard deviation of the unit circle domain with each pixel point as the center in the effective lighting partition of each working lamp bead is to calculate the chromaticity standard deviation of the unit circle domain with each pixel point as the center in the effective lighting partition of each working lamp bead. The channel intensity corresponds to the standard deviation, which is recorded as , according to the formula Obtain the chromaticity standard deviation of the unit circle with each pixel as the center within the effective lighting area of ​​each working lamp bead.

[0040] Calculate the lighting base point correlation coefficient of each pixel point in the effective lighting partition of each working lamp bead, select 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.

[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 zone of each working lamp bead is: , is the number of pixels in the effective lighting partition.

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

[0043] According to the reasonable lighting brightness deviation ratio and reasonable lighting chromaticity deviation ratio corresponding to the pixel points in the preset effective lighting zone and the lighting base point position within the preset distance interval within the built-in lamp beads of the target LED bulb, the reasonable lighting brightness deviation ratio of each effective lighting ring area of ​​each working lamp bead is determined. and reasonable lighting chromaticity deviation ratio .

[0044] By the formula 、 Analyze the lighting brightness deviation and lighting chromaticity deviation of each working lamp bead separately.

[0045] Specifically, the specific identification process of each working substandard lamp bead includes: comparing the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of each working lamp bead with the preset warning thresholds of the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation corresponding to the working lamp bead built into the target LED bulb. If the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of a certain working lamp bead are all smaller than their corresponding preset warning thresholds, then the working lamp bead is identified as a working standard lamp bead; otherwise, the working lamp bead is identified as a working substandard lamp bead, thereby identifying each working substandard lamp bead.

[0046] The embodiment of the present invention accurately identifies the lamp beads that do not meet the standards by testing the execution effect of the control instructions of the target LED bulb for the lighting area it covers, effectively making up for the shortcomings of the existing technology in terms of the accuracy of instruction sending and the comprehensiveness of effect testing.

[0047] The lamp bead adaptive control module is used to determine the specific control objects and control parameters of each lamp bead that does not meet the working standards, and start the adaptive control process of each lamp bead that does not meet the working standards of the target LED bulb, including iterative control and control target completion logic state output.

[0048] It should be noted that the output value of the above-mentioned control target completion logic state is 1 or 0, 1 indicates that the control target is completed, and 0 indicates that the control target is not completed.

[0049] Specifically, the determination of the specific control objects and control parameters of each non-working lamp bead includes: if the lighting position deviation of a non-working lamp bead is greater than or equal to the preset warning threshold of the lighting position deviation of the corresponding working lamp bead built into the target LED bulb, then the lighting position is determined to be the specific lighting control object of the non-working lamp bead, and the difference between the actual lighting base point coordinates of the effective lighting partition of the non-working lamp bead and the corresponding lighting position coordinates specified by the control instruction set is used as the lighting position control parameter.

[0050] If the lighting brightness deviation of a lamp bead that does not meet the working standards is greater than or equal to the preset warning threshold of the lighting brightness deviation of the corresponding lamp bead built into the target LED bulb, the lighting brightness is determined to be the specific lighting control object of the lamp bead that does not meet the working standards, and the difference between the average lighting brightness of the pixels in the effective lighting partition of the lamp bead that does not meet the working standards and the corresponding lighting brightness specified by the control instruction set is used as the lighting brightness control parameter.

[0051] If the lighting chromaticity deviation of a lamp bead that does not meet the working standards is greater than or equal to the preset warning threshold of the lighting chromaticity deviation corresponding to the working standards of the lamp bead built into the target LED bulb, the lighting chromaticity is determined to be the specific lighting control object of the lamp bead that does not meet the working standards, and the difference between the average lighting chromaticity coordinates of the pixels in the effective lighting partition of the lamp bead that does not meet the working standards and the corresponding lighting brightness coordinates specified by the control instruction set is used as the lighting chromaticity control parameter.

[0052] The embodiment of the present invention determines the specific control objects and control parameters of each non-standard lamp bead, and starts the adaptive control process of each non-standard lamp bead in the target LED bulb, thereby overcoming the defect of the existing technology that lacks an instant adaptive control mechanism, and greatly improving the intelligence level of lighting management and adaptability to different lighting needs.

[0053] The potential faulty lamp bead identification module is used to screen the potential faulty lamp beads in the target LED bulb during the execution of the control instructions for the lighting area it covers based on the completion status of the adaptive control process of the lamp beads that do not meet the standards of the target LED bulb, evaluate the failure probability of each potential faulty lamp bead and provide feedback.

[0054] Specifically, the screening conditions for each potential faulty lamp bead of the target LED bulb during the execution of the control instruction for the lighting area covered by it are: the number of iterative control times reaches a preset value and the control target completion logic state output is 0.

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

[0056] The built-in integrated spectrum detector of the target LED bulb is used to collect the spectral curves of each potential faulty lamp bead and each working standard lamp bead, obtain the peak wavelength and half-maximum width in the spectral curve, and analyze the spectral anomaly rate of each potential faulty lamp bead.

[0057] The current attenuation rate, high temperature risk rate, and spectrum anomaly rate of each potential lamp bead are accumulated, and the accumulated value is substituted into the hyperbolic tangent function to obtain the failure probability of each potential faulty lamp bead.

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

[0059] Specifically, the auxiliary lighting work is carried out for each potential fault lamp bead, including: extracting the specific control object and control parameters of each potential fault lamp bead, if the specific control object of a potential fault lamp bead is the lighting position or lighting chromaticity or the lighting brightness with a negative control parameter, then calling the built-in spare lamp bead of the target LED bulb to replace the potential fault lamp bead, requiring the spare lamp bead to carry out the auxiliary lighting work according to the lighting position coordinates, lighting brightness and lighting chromaticity coordinates specified by the control instruction set of the potential fault lamp bead.

[0060] If the specific regulation object of the potential failure lamp bead is the lighting brightness and the lighting brightness regulation parameter is a positive number, then the lighting chromaticity coordinates of the potential failure lamp bead and each adjacent working qualified lamp bead are compared, it is judged whether each working qualified lamp bead adjacent to the potential failure lamp bead has the auxiliary lighting working qualification, the number of working qualified lamp beads adjacent to the potential failure lamp bead and having the auxiliary lighting working qualification is counted, the lighting brightness regulation parameter of the potential failure lamp bead is analyzed by ratio with the number of working qualified lamp beads adjacent to the potential failure lamp bead and having the auxiliary lighting working qualification, and the lighting brightness of each working qualified lamp bead adjacent to the potential failure lamp bead and having the auxiliary lighting working qualification is increased according to the above analysis, so as to carry out the auxiliary lighting work.

[0061] Specifically, the judgment condition that the working qualified lamp bead adjacent to the potential failure lamp bead has the auxiliary lighting working qualification is that the lighting chromaticity deviation ratio of the adjacent working qualified lamp bead and the potential failure lamp bead is less than or equal to the same color system preset permitted lighting chromaticity ratio threshold value.

[0062] The embodiment of the present application can significantly improve the fault handling capability and the continuity of the lighting quality of the whole lighting system of the multi-lamp bead structure LED bulb by accurately screening the potential failure lamp bead in the control instruction execution process of the target LED bulb covering the lighting area, evaluating the failure probability of each potential failure lamp bead and carrying out the auxiliary lighting work for each potential failure lamp bead.

[0063] It should be noted that the cloud database is used in the analysis process of the present application, which is used to store the preset effective lighting partition form of the built-in lamp bead 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 partition of the built-in lamp bead of the target LED bulb and the distance between the lighting base point position and each preset distance interval, store the preset warning threshold value of the working corresponding lighting position deviation, the lighting brightness deviation and the lighting chromaticity deviation of the built-in lamp bead of the target LED bulb, store the preset standard working current value and the safety working temperature threshold value of the built-in lamp bead of the target LED bulb, and store the same color system preset permitted lighting chromaticity ratio threshold value.

[0064] The data sources in the cloud database of the embodiment are shown in the following table 1.

[0065] Table 1: Detailed explanation table of data sources in cloud database

[0066]

[0067]

[0068] The above is only an example and description of the structure of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or replace them with similar ways, as long as they do not deviate from the structure of the present application or exceed the scope defined by the present application, which shall belong to the protection scope of the present application.

Claims

1. An LED bulb cloud data processing system, characterized in that: include: The lighting instruction sending module is used to send the control instruction set of 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; The lighting effect inspection module uses the built-in integrated camera device of the target LED bulb to capture the image of the covered lighting area, locates the lighting position coordinates of each working lamp bead in the image corresponding to the lighting position coordinates specified by the control instruction set, and combines the preset effective lighting partition form of the built-in lamp bead of the target LED bulb to identify the effective lighting partition of each working lamp bead in the image centered on its lighting position coordinates; 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 by the control instruction set, and analyze the lighting position deviation of each working lamp bead of the target LED bulb; The effective lighting zones of each working lamp bead in the image are divided into effective lighting ring zones according to predefined principles. A preset number of pixels within each effective lighting ring zone are randomly selected and recorded as detection pixels of each effective lighting ring zone of each working lamp bead. The lighting brightness and lighting chromaticity coordinates of each detection pixel are obtained and compared with the lighting brightness and lighting chromaticity coordinates of the corresponding working lamp bead specified by the control instruction set. The lighting brightness deviation and lighting chromaticity deviation of each working lamp bead are analyzed. Arrange the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of each working lamp bead to test the execution effect of the control instructions of the target LED bulb for its covered lighting area; identify the lamp beads that do not meet the standards; The lamp bead adaptive control module is used to determine the specific control objects and control parameters of each lamp bead that does not meet the working standards, and start the adaptive control process of each lamp bead that does not meet the working standards of the target LED bulb, including iterative control and control target completion logic state output; The potential faulty lamp bead identification module is used to screen the potential faulty lamp beads in the target LED bulb during the execution of the control instructions for the lighting area covered by the target LED bulb based on the completion status of the adaptive control process of each lamp bead that does not meet the standard, evaluate the failure probability of each potential faulty lamp bead, and provide feedback; Auxiliary lighting working module, used to carry out auxiliary lighting work for each potential fault lamp bead; The actual lighting base point coordinates of each working lamp bead effective lighting partition in the image are determined, including: converting the image into Color space, each pixel in the effective lighting area of ​​each working lamp bead is Color space The channel intensity value is used as its brightness amplitude to analyze the brightness gradient amplitude of each pixel in the effective lighting area of ​​each working lamp bead; Each pixel point in the effective lighting area of ​​each working lamp bead Color space The channel intensity value is used as its chromaticity coordinate to analyze the chromaticity standard deviation of the unit circle with each pixel as the center within the effective lighting partition of each working lamp bead; Calculate the lighting base point correlation coefficient of each pixel point in the effective lighting partition of each working lamp bead, select 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.

2. The LED light bulb cloud data processing system according to claim 1, characterized in that: The analysis of the lighting brightness deviation and lighting chromaticity deviation of each working lamp bead includes: calculating the lighting brightness deviation ratio and lighting chromaticity deviation ratio of each detection pixel point in each effective lighting ring area of ​​each working lamp bead, and obtaining the average lighting brightness deviation ratio of each effective lighting ring area of ​​each working lamp bead by mean calculation. and average illumination chromaticity deviation ratio ,in For the number of each working lamp bead, , is the number of each effective lighting ring area, ; According to the reasonable lighting brightness deviation ratio and reasonable lighting chromaticity deviation ratio corresponding to the pixel points in the preset effective lighting zone and the lighting base point position within the preset distance interval within the built-in lamp beads of the target LED bulb, the reasonable lighting brightness deviation ratio of each effective lighting ring area of ​​each working lamp bead is determined. and reasonable lighting chromaticity deviation ratio ; By the formula 、 Analyze the lighting brightness deviation and lighting chromaticity deviation of each working lamp bead separately.

3. The LED light bulb cloud data processing system according to claim 1, characterized in that: The specific identification process of each non-working lamp bead includes: comparing the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of each working lamp bead with the preset warning thresholds of the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation corresponding to the working lamp bead built into the target LED bulb; if the lighting position deviation, lighting brightness deviation, and lighting chromaticity deviation of the working lamp bead are all less than their corresponding preset warning thresholds, then the working lamp bead is identified as a working standard lamp bead; otherwise, the working lamp bead is identified as a working non-working lamp bead, thereby identifying each non-working lamp bead.

4. The LED light bulb cloud data processing system according to claim 3, characterized in that: The determining of the specific control object and control parameter of each non-standard lamp bead includes: if the lighting position deviation of the non-standard lamp bead is greater than or equal to a preset warning threshold of the lighting position deviation of the corresponding lamp bead built into the target LED bulb, then determining the lighting position as the specific lighting control object of the non-standard lamp bead, and using the difference between the actual lighting base point coordinates of the effective lighting partition of the non-standard lamp bead and the corresponding lighting position coordinates specified by the control instruction set as the lighting position control parameter; If the lighting brightness deviation of the non-standard lamp bead is greater than or equal to the preset warning threshold of the lighting brightness deviation of the corresponding lamp bead built into the target LED bulb, the lighting brightness is determined to be the specific lighting control target of the non-standard lamp bead, and the difference between the average lighting brightness of the pixels in the effective lighting partition of the non-standard lamp bead and the corresponding lighting brightness specified by the control instruction set is used as the lighting brightness control parameter; If the lighting chromaticity deviation of the lamp bead that does not meet the working standards is greater than or equal to the preset warning threshold of the lighting chromaticity deviation corresponding to the working lighting chromaticity of the lamp bead built into the target LED bulb, the lighting chromaticity is determined to be the specific lighting control object of the lamp bead that does not meet the working standards, and the difference between the average lighting chromaticity coordinates of the pixels in the effective lighting partition of the lamp bead that does not meet the working standards and the corresponding lighting chromaticity coordinates specified by the control instruction set is used as the lighting chromaticity control parameter.

5. The LED light bulb cloud data processing system according to claim 1, characterized in that: The screening conditions for each potential faulty lamp bead of the target LED bulb during the execution of the control instruction for the lighting area covered by it are: the number of iterative control times reaches a preset value and the control target completion logic state output is 0.

6. The LED light bulb cloud data processing system according to claim 1, characterized in that: The evaluation of the failure probability of each potential faulty lamp bead includes: collecting the operating current value and operating temperature value of each potential faulty lamp bead, comparing them with the preset standard operating current value and safe operating temperature threshold of the built-in lamp bead of the target LED bulb, and analyzing the current attenuation rate and high temperature risk rate of each potential faulty lamp bead; The integrated spectrum detector built into the target LED bulb collects the spectrum curves of each potential faulty lamp bead and each working standard lamp bead, obtains the peak wavelength and half-maximum width in the spectrum curve, and analyzes the spectrum anomaly rate of each potential faulty lamp bead; The current attenuation rate, high temperature risk rate, and spectrum anomaly rate of each potential lamp bead are accumulated, and the accumulated value is substituted into the hyperbolic tangent function to obtain the failure probability of each potential faulty lamp bead.

7. The LED light bulb cloud data processing system according to claim 4, characterized in that: The auxiliary lighting work is performed for each potential faulty lamp bead, including: extracting the specific control object and control parameter of each potential faulty lamp bead; if the specific control object of the potential faulty lamp bead is the lighting position or the lighting chromaticity or the lighting brightness with a negative control parameter, calling the built-in spare lamp bead of the target LED bulb to replace the potential faulty lamp bead, and requiring the spare lamp bead to perform the auxiliary lighting work according to the lighting position coordinates, lighting brightness and lighting chromaticity coordinates specified by the control instruction set of the potential faulty lamp bead; If the specific control object of the 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 have the qualifications for auxiliary lighting work, count the number of working standard lamp beads adjacent to the potential faulty lamp bead that have the qualifications for auxiliary lighting work, perform a 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 have the qualifications for auxiliary lighting work, and accordingly increase the lighting brightness of the working standard lamp beads adjacent to the potential faulty lamp bead that have the qualifications for auxiliary lighting work to carry out auxiliary lighting work.

8. The LED light bulb cloud data processing system according to claim 7, characterized in that: The judgment condition for whether the working standard lamp bead adjacent to the potential fault lamp bead has the auxiliary lighting working qualification is that the lighting chromaticity deviation ratio of the adjacent working standard lamp bead and the potential fault lamp bead is less than or equal to the preset permitted lighting chromaticity ratio threshold of the same color system.

Citation Information

Patent Citations

  • A multi-level color-tuning LED lamp bead control and adjustment management system

    CN114025449B

  • Intelligent control method and system for multifunctional LED lamp beads

    CN117354986A

  • Remote regulation and control LED illumination system based on Internet of Things

    CN119255425A