LED lamp bead positioning method and device

Abstract

The present invention discloses an LED lamp bead positioning method and device, which specifically relates to the field of lamp lighting technology, and measures and records ambient light, laser, and LED lamp surface material parameters when laser positioning technology is working, including ambient light interference information, surface material value information, and laser beam position stability information. The present invention is based on measuring and calculating parameter information such as ambient light, laser, and LED lamp surface material during the use of laser positioning technology, thereby realizing the evaluation of the degree of influence of surface light reflection and ambient light on the laser positioning technology, establishing an external light impact evaluation model to determine the necessity of optimizing the existing laser positioning technology, constructing a light compensation algorithm after the judgment, extracting the position of the LED lamp bead after the algorithm is optimized, and continuously optimizing the algorithm to improve the positioning accuracy and enhance the system robustness.

Description

Technical Field

[0001] The present invention relates to the technical field of lamp lighting, and more specifically, to a method and device for positioning LED lamp beads. Background Art

[0002] Among the existing LED lamp bead positioning methods and devices, laser positioning technology can meet the requirements of high precision, high speed, non-contact measurement and complex shape processing in the LED lamp bead production process, and has therefore been widely used. The laser beam has a very low divergence angle, which enables it to maintain accurate straight-line propagation over a long distance, thereby achieving high-precision positioning. In terms of product inspection, laser positioning technology can quickly scan large-area or high-density LED arrays to achieve efficient batch inspection, and can also be expanded and adjusted according to demand to meet the needs of LED lamp beads of different specifications and shapes.

[0003] However, in the actual application of laser positioning technology, there are still some issues that cannot be ignored and urgently need to be improved: the surface of LED lamp beads is generally highly reflective or transparent material, which will produce irregular reflections on the laser beam and affect the positioning accuracy. Especially on high-gloss lamp beads, laser reflection will cause error accumulation and make the positioning data inaccurate. At the same time, the laser positioning system is easily affected by ambient light, such as strong light, shadows, etc. These factors will affect the path and reflection of the laser beam, resulting in a decrease in positioning accuracy. This requires laser positioning technology to work in a controlled lighting environment, which increases the complexity of use. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an LED lamp bead positioning method and device, which are based on the measurement and calculation of parameter information such as ambient light, laser, and LED lamp surface material during the use of laser positioning technology, thereby realizing the evaluation of the degree of influence of surface light reflection and ambient light on the laser positioning technology, and establishing an external light impact evaluation model to determine the necessity of optimizing the existing laser positioning technology. After the judgment, a lighting compensation algorithm is constructed, the position of the LED lamp bead after algorithm optimization is extracted, and the algorithm is continuously optimized to improve the positioning accuracy and enhance the robustness of the system, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The LED lamp bead positioning method and device include the following steps:

[0007] Step S1, measuring and recording ambient light, laser, and LED light surface material parameters when the laser positioning technology is working, including ambient light interference information, surface material value information, and laser beam position stability information;

[0008] Step S2, constructing an external light impact assessment model, obtaining an external light impact assessment coefficient, comparing the external light impact assessment index with the impact threshold, and judging the necessity of optimizing the existing laser positioning technology according to the comparison result;

[0009] Step S3, constructing a light compensation algorithm and extracting the positions of LED lamp beads after algorithm optimization;

[0010] Step S4, optimizing the results obtained by the illumination compensation algorithm to improve positioning accuracy and enhance system robustness.

[0011] Specifically, in step S1, in order to achieve the purpose of optimizing the laser positioning technology, in the working process of the laser positioning technology, in order to reduce the reflection interference, it is often necessary to perform special treatment on the surface of the LED lamp beads, such as coating an anti-reflection coating, which increases the production cost and complexity. The process of avoiding the reflection caused by the surface material of the lamp beads is used as an evaluation indicator. Combined with the effectiveness of the processing results, it can reflect the necessity of improving the existing technology. In the actual use process, due to factors such as equipment cost and the complexity of regular detection, the present invention is based on the normal working process of the laser positioning technology for a long time and the environment such as temperature and humidity is relatively stable, which may cause abnormal operation at a certain detection moment.

[0012] In step S2, the degree of influence of surface light reflection and ambient light on the laser positioning technology is evaluated. The specific process is to collect data changes generated during the application of the laser positioning technology, including ambient light interference information, surface material value information and laser beam position stability information. The ambient light interference information includes spectral distribution coefficient and ambient light intensity coefficient. The spectral distribution coefficient and ambient light intensity coefficient are calibrated as and , the surface material value information includes the surface material value coefficient, and the data acquisition module calibrates the surface material value coefficient as , the laser beam position stability information includes the laser beam position stability coefficient calibrated as ;

[0013] Spectral distribution coefficient The interaction between the spectral distribution of ambient light and the laser beam affects the performance of the laser beam. When the spectrum of ambient light overlaps with the laser wavelength, spectral interference will occur, causing the laser signal to be "masked" by the ambient light, reducing the signal-to-noise ratio of positioning. Therefore, the closer the wavelength of ambient light is to the laser wavelength, the more serious the interference is. During the normal working stage, the wavelength of the spectral distribution of ambient light on the n-segment workbench is measured, and the wavelength result of the spectral distribution of ambient light is calibrated as , x is the wavelength number of the intercepted ambient light spectrum distribution, x=1,2,3...n, and the wavelength of the laser beam in operation is calibrated as , then the spectral distribution coefficient

[0014] Ambient light intensity coefficient By measuring the ambient light and laser power density, the relative intensity between the ambient light and the laser is obtained, and the ambient light power density and the laser power density are calibrated as and , ambient light power density By measuring the intensity of ambient light , Ambient light irradiation area And the distance from the ambient light source to the measurement point , according to the formula The laser power density is calculated to be The output power of the laser is measured , the area of ​​the laser spot , according to the formula Calculated, the ambient light intensity coefficient ;

[0015] Surface material value coefficient By obtaining the value of the surface coating treatment process required by LED lamp beads to avoid the influence of surface reflection on laser positioning technology, the economic value required for a single lamp bead coating is calibrated as , the total number of lamp beads to be processed is calibrated as , and calculate the reflectivity of the laser on the surface of the processed lamp bead, which is calibrated as , the calculation formula is ,in is the reflectivity constant of the surface material, is the angle of incidence, so the surface material value coefficient ;

[0016] Laser beam position stability coefficient By measuring the position information of the laser beam, the acquired position coordinates are calibrated as , N is the number of times the laser beam position is measured, i=1,2,...,N, N is a positive integer, then the laser beam position stability coefficient ,in, is the average value of the laser beam position coordinates.

[0017] The external light impact assessment model is constructed by weighting the ambient light interference information, surface material value information and laser beam position stability information to generate the external light impact assessment index. , and the corresponding coefficients are spectral distribution coefficients , Ambient light intensity coefficient , surface material value coefficient and laser beam position stability coefficient , the formula is ;

[0018] at the same time, It is set according to the actual situation. For example, the expert empowerment method is adopted, that is, experts in related fields are invited to determine the weights of various indicators through professional opinion surveys and comprehensive evaluations to ensure that the weight coefficients can accurately reflect the importance of various indicators in the external light impact assessment. In addition, the use of various methods such as hierarchical analysis method and fuzzy comprehensive evaluation method can also be considered to determine the weight coefficients to ensure the objectivity and scientificity of the weight coefficients. I will not go into details here.

[0019] In step S2, the external light impact assessment index obtained in the external light impact assessment model is used to reflect the degree of influence of surface light reflection and ambient light on the laser positioning technology. The smaller its value is, the closer the ambient light spectrum is to the wavelength of the laser beam, the greater the ambient light intensity is, the greater the economic value of the surface material is, the greater the reflectivity is, and the more unstable the laser beam position is, which means that the laser positioning technology is more affected by surface light reflection and ambient light. Conversely, the larger the value of the external light impact assessment index is, the smaller the degree of influence of surface light reflection and ambient light on the laser positioning technology is.

[0020] In step S2, when the external light affects the evaluation index When it is less than the set impact threshold, it means that the laser positioning technology is highly affected by the surface light reflection and ambient light, and the existing laser positioning technology needs to be optimized. Therefore, a laser positioning optimization signal is issued to proceed to the subsequent steps;

[0021] When external light affects the evaluation index When it is greater than or equal to the set impact threshold, it means that the laser positioning technology is less affected by surface light reflection and ambient light, and can meet production needs, send out accurate laser signals, and no longer proceed to subsequent steps.

[0022] In step S3, after receiving the laser positioning optimization signal sent in step S2, the existing laser positioning technology is optimized through the illumination normalization algorithm, aiming to reduce the impact of illumination changes on laser reflection data and improve the positioning accuracy under different illumination conditions. The specific method for constructing the illumination compensation algorithm is as follows:

[0023] Step S3.1, ambient light measurement and illumination model establishment, set up multiple illumination measurement points in the environment where the LED lamp beads are located, and use a photometer or light sensor to record the intensity of ambient light at each measurement point , , assuming that the ambient light intensity varies uniformly throughout the space, use the function represents the distribution of ambient light, ,in, It is the parameter obtained by fitting multi-point measurement data;

[0024] Step S3.2: Superimpose and analyze the laser signal and ambient light, and use the laser reflection sensor to obtain the reflection intensity of the LED lamp bead surface , the calculation formula is The total light intensity is the signal intensity after the laser and ambient light are superimposed. , the calculation formula is ;

[0025] Step S3.3, ambient light compensation and illumination normalization, subtract the ambient light intensity from the total light intensity to obtain the actual laser reflection intensity, the calculation formula is: , correct the reflection intensity, that is, use the measured ambient light data to correct the laser reflection signal to obtain the actual reflection intensity , and then normalize the laser reflection signal after illumination compensation to remove the influence of different illumination conditions. The calculation formula is: ,in, and are the minimum and maximum values ​​of the laser signal, respectively;

[0026] Step S3.4, positioning data processing, data filtering processing, using Kalman filtering algorithm to filter the normalized signal to reduce noise interference, ,in, is the k-th estimated laser signal, is the Kalman gain, and the least squares method is used to fit the distribution curve of the laser reflection signal to extract the position of the LED lamp bead ,in, is the fitting curve function.

[0027] It should be noted that the ambient light corresponding to the LED lamp bead position obtained above is unique. When the ambient light changes, the illumination model needs to be updated regularly to ensure that the model can reflect the current ambient light conditions. In addition, when designing the optical system, it is necessary to consider shielding the interference of ambient light and use filters or optical isolation covers to reduce the impact of ambient light on the laser receiver. The implementation of the specific process will not be repeated here.

[0028] In step S4, the result obtained by the illumination compensation algorithm is optimized. The specific optimization process is as follows:

[0029] Step S4.1, parameter adaptive adjustment: Use real-time data to dynamically adjust the ambient light compensation parameters to improve the adaptability of the system. The calculation formula is ,in is the parameter adjustment amount, is the adjustment step size;

[0030] Step S4.2, multi-source data fusion: further improve the accuracy and stability of laser positioning through multi-sensor data fusion ,in is the weighting coefficient, It is the data of other sensors;

[0031] Step S4.3, field verification and optimization, multi-scenario testing: Verify under different lighting conditions to ensure the effectiveness of the lighting compensation algorithm. ,in, is the average error, and N is the number of tests.

[0032] Technical effects and advantages of the present invention:

[0033] The present invention is based on the measurement and calculation of parameter information such as ambient light, laser, and surface material of LED lamps during the use of laser positioning technology, thereby realizing the evaluation of the degree of influence of surface light reflection and ambient light on the laser positioning technology, establishing an external light impact evaluation model to determine the necessity of optimizing the existing laser positioning technology, constructing a light compensation algorithm after the judgment, extracting the position of LED lamp beads after the algorithm is optimized, and continuously optimizing the algorithm to improve positioning accuracy and enhance system robustness. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of the LED lamp bead positioning method and device of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0036] The LED lamp bead positioning method and device of the present invention are based on the measurement and calculation of parameter information such as ambient light, laser, and LED lamp surface material during the use of laser positioning technology, thereby realizing the evaluation of the degree of influence of surface light reflection and ambient light on the laser positioning technology, establishing an external light impact evaluation model to determine the necessity of optimizing the existing laser positioning technology, constructing a light compensation algorithm after the judgment, extracting the position of the LED lamp bead after the algorithm is optimized, and continuously optimizing the algorithm to improve the positioning accuracy and enhance the robustness of the system.

[0037] Example 1

[0038] like Figure 1As shown, the LED lamp bead positioning method and device steps are as follows:

[0039] Step S1, measuring and recording ambient light, laser, and LED light surface material parameters when the laser positioning technology is working, including ambient light interference information, surface material value information, and laser beam position stability information;

[0040] Step S2, constructing an external light impact assessment model, obtaining an external light impact assessment coefficient, comparing the external light impact assessment index with the impact threshold, and judging the necessity of optimizing the existing laser positioning technology according to the comparison result;

[0041] Step S3, constructing a light compensation algorithm and extracting the positions of LED lamp beads after algorithm optimization;

[0042] Step S4, optimizing the results obtained by the illumination compensation algorithm to improve positioning accuracy and enhance system robustness.

[0043] Specifically, in step S1, in order to achieve the purpose of optimizing the laser positioning technology, in the working process of the laser positioning technology, in order to reduce the reflection interference, it is often necessary to perform special treatment on the surface of the LED lamp beads, such as coating an anti-reflection coating, which increases the production cost and complexity. The process of avoiding the reflection caused by the surface material of the lamp beads is used as an evaluation indicator. Combined with the effectiveness of the processing results, it can reflect the necessity of improving the existing technology. In the actual use process, due to factors such as equipment cost and the complexity of regular detection, the present invention is based on the normal working process of the laser positioning technology for a long time and the environment such as temperature and humidity is relatively stable, which may cause abnormal operation at a certain detection moment.

[0044] In step S2, the degree of influence of surface light reflection and ambient light on the laser positioning technology is evaluated. The specific process is to collect data changes generated during the application of the laser positioning technology, including ambient light interference information, surface material value information and laser beam position stability information. The ambient light interference information includes spectral distribution coefficient and ambient light intensity coefficient. The spectral distribution coefficient and ambient light intensity coefficient are calibrated as and , the surface material value information includes the surface material value coefficient, and the data acquisition module calibrates the surface material value coefficient as , the laser beam position stability information includes the laser beam position stability coefficient calibrated as ;

[0045] Spectral distribution coefficient The interaction between the spectral distribution of ambient light and the laser beam affects the performance of the laser beam. When the spectrum of ambient light overlaps with the laser wavelength, spectral interference will occur, causing the laser signal to be "masked" by the ambient light, reducing the signal-to-noise ratio of positioning. Therefore, the closer the wavelength of ambient light is to the laser wavelength, the more serious the interference is. During the normal working stage, the wavelength of the spectral distribution of ambient light on the n-segment workbench is measured, and the wavelength result of the spectral distribution of ambient light is calibrated as , x is the wavelength number of the intercepted ambient light spectrum distribution, x=1,2,3...n, and the wavelength of the laser beam in operation is calibrated as , then the spectral distribution coefficient

[0046] Ambient light intensity coefficient By measuring the ambient light and laser power density, the relative intensity between the ambient light and the laser is obtained, and the ambient light power density and the laser power density are calibrated as and , ambient light power density By measuring the intensity of ambient light , Ambient light irradiation area And the distance from the ambient light source to the measurement point , according to the formula The laser power density is calculated to be The output power of the laser is measured , the area of ​​the laser spot , according to the formula Calculated, the ambient light intensity coefficient ;

[0047] Surface material value coefficient By obtaining the value of the surface coating treatment process required by LED lamp beads to avoid the influence of surface reflection on laser positioning technology, the economic value required for a single lamp bead coating is calibrated as , the total number of lamp beads to be processed is calibrated as , and calculate the reflectivity of the laser on the surface of the processed lamp bead, which is calibrated as , the calculation formula is ,in is the reflectivity constant of the surface material, is the angle of incidence, so the surface material value coefficient ;

[0048] Laser beam position stability coefficient By measuring the position information of the laser beam, the acquired position coordinates are calibrated as , N is the number of times the laser beam position is measured, i=1,2,...,N, N is a positive integer, then the laser beam position stability coefficient ,in, is the average value of the laser beam position coordinates.

[0049] The external light impact assessment model is constructed by weighting the ambient light interference information, surface material value information and laser beam position stability information to generate the external light impact assessment index. , and the corresponding coefficients are spectral distribution coefficients , Ambient light intensity coefficient , surface material value coefficient and laser beam position stability coefficient , the formula is ;

[0050] at the same time, It is set according to the actual situation. For example, the expert empowerment method is adopted, that is, experts in related fields are invited to determine the weights of various indicators through professional opinion surveys and comprehensive evaluations to ensure that the weight coefficients can accurately reflect the importance of various indicators in the external light impact assessment. In addition, the use of various methods such as hierarchical analysis method and fuzzy comprehensive evaluation method can also be considered to determine the weight coefficients to ensure the objectivity and scientificity of the weight coefficients. I will not go into details here.

[0051] In step S2, the external light impact assessment index obtained in the external light impact assessment model is used to reflect the degree of influence of surface light reflection and ambient light on the laser positioning technology. The smaller its value is, the closer the ambient light spectrum is to the wavelength of the laser beam, the greater the ambient light intensity is, the greater the economic value of the surface material is, the greater the reflectivity is, and the more unstable the laser beam position is, which means that the laser positioning technology is more affected by surface light reflection and ambient light. Conversely, the larger the value of the external light impact assessment index is, the smaller the degree of influence of surface light reflection and ambient light on the laser positioning technology is.

[0052] In step S2, when the external light affects the evaluation index When it is less than the set impact threshold, it means that the laser positioning technology is highly affected by the surface light reflection and the ambient light, and the existing laser positioning technology needs to be optimized. Therefore, a laser positioning optimization signal is issued to proceed to the subsequent steps;

[0053] When external light affects the evaluation index When it is greater than or equal to the set impact threshold, it means that the laser positioning technology is less affected by surface light reflection and ambient light, and can meet production needs, send out accurate laser signals, and no longer proceed to subsequent steps.

[0054] In step S3, after receiving the laser positioning optimization signal sent in step S2, the existing laser positioning technology is optimized through the illumination normalization algorithm, aiming to reduce the impact of illumination changes on laser reflection data and improve the positioning accuracy under different illumination conditions. The specific method for constructing the illumination compensation algorithm is as follows:

[0055] Step S3.1, ambient light measurement and illumination model establishment, set up multiple illumination measurement points in the environment where the LED lamp beads are located, and use a photometer or light sensor to record the intensity of ambient light at each measurement point , , assuming that the ambient light intensity varies uniformly throughout the space, use the function represents the distribution of ambient light, ,in, It is the parameter obtained by fitting multi-point measurement data;

[0056] Step S3.2: Superimpose and analyze the laser signal and ambient light, and use the laser reflection sensor to obtain the reflection intensity of the LED lamp bead surface , the calculation formula is The total light intensity is the signal intensity after the laser and ambient light are superimposed. , the calculation formula is ;

[0057] Step S3.3, ambient light compensation and illumination normalization, subtract the ambient light intensity from the total light intensity to obtain the actual laser reflection intensity, the calculation formula is: , correct the reflection intensity, that is, use the measured ambient light data to correct the laser reflection signal to obtain the actual reflection intensity , and then normalize the laser reflection signal after illumination compensation to remove the influence of different illumination conditions. The calculation formula is: ,in, and are the minimum and maximum values ​​of the laser signal, respectively;

[0058] Step S3.4, positioning data processing, data filtering processing, using Kalman filtering algorithm to filter the normalized signal to reduce noise interference, ,in, is the k-th estimated laser signal, is the Kalman gain, and the least squares method is used to fit the distribution curve of the laser reflection signal to extract the position of the LED lamp bead ,in, is the fitting curve function.

[0059] It should be noted that the ambient light corresponding to the LED lamp bead position obtained above is unique. When the ambient light changes, the illumination model needs to be updated regularly to ensure that the model can reflect the current ambient light conditions. In addition, when designing the optical system, it is necessary to consider shielding the interference of ambient light and use filters or optical isolation covers to reduce the impact of ambient light on the laser receiver. The implementation of the specific process will not be repeated here.

[0060] In step S4, the result obtained by the illumination compensation algorithm is optimized. The specific optimization process is as follows:

[0061] Step S4.1, parameter adaptive adjustment: Use real-time data to dynamically adjust the ambient light compensation parameters to improve the adaptability of the system. The calculation formula is ,in is the parameter adjustment amount, is the adjustment step size;

[0062] Step S4.2, multi-source data fusion: further improve the accuracy and stability of laser positioning through multi-sensor data fusion ,in is the weighting coefficient, It is the data of other sensors;

[0063] Step S4.3, field verification and optimization, multi-scenario testing: Verify under different lighting conditions to ensure the effectiveness of the lighting compensation algorithm. ,in, is the average error, and N is the number of tests.

[0064] The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0065] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, an ATA hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state ATA hard disk.

[0066] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0067] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0068] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0071] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile ATA hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0072] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. The LED lamp bead positioning method is characterized by , including the following steps: Step S1, measuring and recording ambient light, laser, and LED light surface material parameters when the laser positioning technology is working, including ambient light interference information, surface material value information, and laser beam position stability information; Step S2, constructing an external light impact assessment model, obtaining an external light impact assessment coefficient, comparing the external light impact assessment index with the impact threshold, and judging the necessity of optimizing the existing laser positioning technology according to the comparison result; Step S3, constructing a light compensation algorithm and extracting the positions of LED lamp beads after algorithm optimization; Step S4, optimizing the results obtained by the illumination compensation algorithm to improve positioning accuracy and enhance system robustness; The influence of surface light reflection and ambient light on laser positioning technology is evaluated. The specific process is to collect data changes generated during the application of laser positioning technology, including ambient light interference information, surface material value information and laser beam position stability information. The ambient light interference information includes spectral distribution coefficient and ambient light intensity coefficient. The spectral distribution coefficient and ambient light intensity coefficient are calibrated as and , the surface material value information includes the surface material value coefficient, and the data acquisition module calibrates the surface material value coefficient as , the laser beam position stability information includes the laser beam position stability coefficient calibrated as ; Spectral distribution coefficient To investigate the effect of the interaction between the spectral distribution of ambient light and the laser beam on the performance of the laser beam, during the normal working phase, the wavelength of the spectral distribution of ambient light on the n-segment workbench was measured and the wavelength of the spectral distribution of ambient light was calibrated as , x is the wavelength number of the intercepted ambient light spectrum distribution, x=1,2,3...n, and the wavelength of the laser beam in operation is calibrated as , then the spectral distribution coefficient Ambient light intensity coefficient By measuring the ambient light and laser power density, the relative intensity between the ambient light and the laser is obtained, and the ambient light power density and the laser power density are calibrated as and , then the ambient light intensity coefficient ; Surface material value coefficient By obtaining the value of the surface coating treatment process required by LED lamp beads to avoid the influence of surface reflection on laser positioning technology, the economic value required for a single lamp bead coating is calibrated as , the total number of lamp beads to be processed is calibrated as , and calculate the reflectivity of the laser on the surface of the processed lamp bead, which is calibrated as , the calculation formula is ,in is the reflectivity constant of the surface material, is the angle of incidence, so the surface material value coefficient ; Laser beam position stability coefficient By measuring the position information of the laser beam, the acquired position coordinates are calibrated as , N is the number of times the laser beam position is measured, i=1,2,...,N, N is a positive integer, then the laser beam position stability coefficient ,in, is the average value of the laser beam position coordinates; The external light impact assessment model is constructed by weighting the ambient light interference information, surface material value information and laser beam position stability information to generate the external light impact assessment index. , and the corresponding coefficients are spectral distribution coefficients , Ambient light intensity coefficient , surface material value coefficient and laser beam position stability coefficient , the formula is , where is the weight coefficient of the corresponding indicator.

2. The LED lamp bead positioning method according to claim 1, characterized in that: In step S2, when the external light affects the evaluation index When it is less than the set impact threshold, the existing laser positioning technology needs to be optimized, thereby sending a laser positioning optimization signal to proceed to the subsequent steps; When external light affects the evaluation index When it is greater than or equal to the set impact threshold, the production demand can be achieved, an accurate laser signal is sent, and the subsequent steps will not be continued.

3. The LED lamp bead positioning method according to claim 2, characterized in that: In step S3, the existing laser positioning technology is optimized by using an illumination normalization algorithm. The specific method for constructing an illumination compensation algorithm is as follows: Step S3.1, ambient light measurement and illumination model establishment, set up multiple illumination measurement points in the environment where the LED lamp beads are located, and use a photometer and light sensor to record the intensity of ambient light at each measurement point , , assuming that the ambient light intensity varies uniformly throughout the space, use the function represents the distribution of ambient light, ,in, It is the parameter obtained by fitting multi-point measurement data; Step S3.2: Superimpose and analyze the laser signal and ambient light, and use the laser reflection sensor to obtain the reflection intensity of the LED lamp bead surface , the calculation formula is The total light intensity is the signal intensity after the laser and ambient light are superimposed. , the calculation formula is ; Step S3.3, ambient light compensation and illumination normalization, subtract the ambient light intensity from the total light intensity to obtain the actual laser reflection intensity, the calculation formula is: , correct the reflection intensity, that is, use the measured ambient light data to correct the laser reflection signal to obtain the actual reflection intensity , and then normalize the laser reflection signal after illumination compensation to remove the influence of different illumination conditions. The calculation formula is: ,in, and are the minimum and maximum values ​​of the laser signal, respectively; Step S3.4, positioning data processing, data filtering processing, using Kalman filtering algorithm to filter the normalized signal to reduce noise interference, ,in, is the k-th estimated laser signal, is the Kalman gain, and the least squares method is used to fit the distribution curve of the laser reflection signal to extract the position of the LED lamp bead ,in, is the fitting curve function.

4. The LED lamp bead positioning method according to claim 3, characterized in that: In step S4, the result obtained by the illumination compensation algorithm is optimized. The specific optimization process is as follows: Step S4.1, parameter adaptive adjustment; Step S4.2, multi-source data fusion; Step S4.3, field verification and optimization.

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