LED lamp bead packaging and welding method, system and device

Abstract

The invention discloses an LED lamp bead packaging and welding method, system and device, and relates to the field of LED lamp bead welding, and the method comprises the steps: analyzing and processing to obtain the cleaning time of a welding base disc, and controlling the cleaning of the welding base disc; performing pilot running to obtain a welding device performance detection result; monitoring the welding process in real time to obtain a real-time welding characteristic coefficient of each LED lamp bead; real-time external environment influence parameters of the welding device are obtained, and external environment influence correction factors of the welding device are generated; and the real-time welding characteristic coefficient of each LED lamp bead is obtained through comprehensive treatment. By accurately controlling the cleaning time, excessive cleaning or insufficient cleaning is avoided, the efficiency is improved, and meanwhile resource waste is reduced. The state of the welding device is evaluated, optimal operation conditions of equipment are ensured, and production interruption is reduced. Welding characteristic parameters are monitored in real time, and welding device parameters are adjusted to keep welding spot consistency and reliability. And the system can adapt to environment change by combining external environment parameters acquired by a sensor.

Description

Technical Field

[0001] The invention relates to the field of LED lamp bead welding, and in particular to an LED lamp bead packaging welding method, system and device. Background Art

[0002] LED lamp beads are widely used in electronic products and are in great demand. The welding quality directly affects the performance and life of the products. The LED lamp bead packaging welding requires precise control of welding parameters such as welding temperature, time, and pressure. Automated welding technology is required to meet the needs of high-efficiency and high-precision production.

[0003] Prior art, such as the invention patent with announcement number: CN111822803B, is a method for welding array-type LED lamp beads, which uses a wire harness production device to guide the wire harness into a wire harness feeding device, and uses the wire harness feeding device to guide the wire harness equidistantly and arrange it neatly; starts the separation clamp of the wire separation device, so that the wire harness pins at one end of the wire harness clamping belt on the wire harness feeding device are separated and straightened; starts the flipping mechanism on the wire harness clamping belt on the wire harness feeding device, so that the wire harness clamping belt is flipped, and one end of the wire harness pins are aligned; starts the LED lamp bead feeding device, so that the single-chip array-type LED lamp bead is guided onto the translation table of the LED lamp bead feeding device; starts the crimping head of the pin guide crimping device, so that the wiring pins of the wire harness are abutted against the wiring terminals of the single-chip array-type LED lamp bead, and starts the pin welding device to perform the welding operation between the pins and the wiring terminals; this method effectively improves the processing efficiency of LED lamp beads while ensuring the reliability of wire welding.

[0004] The prior art, such as the invention patent with announcement number: CN111360349B, is a fully automatic assembly and welding process for LED lamp beads, and the assembly process is: step S1, the process of loading and conveying the accessory light strip; step S2, the process of stripping, positioning and separating the accessory light strip; step S3, the process of loading and conveying the accessory LED lamp; step S4, the process of the robot sucking and transferring it to the flipping mechanism; step S5, the process of the robot clamping, transferring and flipping the LED lamp to enter the lamp installation process; step S6, the process of the accessory LED lamp and the light strip forming a combined light strip; step S7, the process of soldering the self-assembled light strip; step S8, the process of gluing the soldered light strip; step S9, the process of ultraviolet positioning and curing the glued light strip; step S10, the process of laying off and tensioning the light strip after the curing and positioning is completed; step S11, the process of winding and winding the assembled light strip; Based on the above content, it can be seen that the prior art in the field of LED lamp bead welding often focuses on the overall automatic welding control, but ignores the control of the welding quality of individual LED lamp beads during the welding process. In actual applications, the specifications and welding requirements of different types of LED lamp beads are also different. Only one welding assembly method may cause problems of incompatible welding specifications. In addition, the prior art usually ignores the adaptive adjustment capability and data communication function of the welding device. When problems or failures occur in the welding process, the welding materials and equipment may be damaged due to untimely adjustment and processing. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a method, system and device for LED lamp bead packaging and welding. To achieve the above purpose, the present invention is implemented through the following technical solutions: A method, system and device for LED lamp bead packaging and welding, comprising: Scan the welding base to obtain welding base defect parameters, obtain the welding base cleaning time based on the welding base defect parameter analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time.

[0006] After the welding base is cleaned and dried, the welding device is controlled to perform a test run, a welding device performance test value is obtained, and a welding device performance test result is obtained. If the welding device performance test result is normal, a welding start signal is sent.

[0007] After the welding device is started, the welding real-time characteristic parameters of each LED lamp bead in the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing.

[0008] The real-time external environment impact parameters of the welding device are acquired based on the integrated sensor, and the external environment impact correction factors of the welding device are generated through analysis and processing.

[0009] Based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, the welding adjustment mode corresponding to each LED lamp bead is obtained and real-time adjustment processing is performed.

[0010] As a preferred technical solution, the welding base plate cleaning time is obtained based on the analysis and processing of welding base plate defect parameters, and the specific process is: The welding base plate defect parameters include the total area of ​​welding base plate defect points, the number of welding base plate defect points and the surface roughness of the welding base plate.

[0011] A set of cleaning coefficients corresponding to the welding base defect parameters is extracted from the database, including the cleaning coefficient corresponding to the interval where the total area of ​​the welding base defect points is located, the cleaning coefficient corresponding to the interval where the number of welding base defect points is located, and the cleaning coefficient corresponding to the interval where the surface roughness of the welding base is located.

[0012] Based on the welding substrate defect parameters and the cleaning coefficient set corresponding to the welding substrate defect parameters, the welding substrate cleaning time is obtained through analysis and processing.

[0013] As a preferred technical solution, the obtaining of the welding device performance test value and the welding device performance test result specifically includes: After the welding base is cleaned and dried, the welding device is controlled to conduct a trial run, and the performance parameters of the welding device are monitored during the trial run, including the maximum welding current, the minimum welding current, the maximum welding voltage, the minimum welding voltage, the average welding position offset value and the average signal response time.

[0014] The performance verification parameters of the welding device are extracted from the database, including a welding current verification difference value, a welding voltage verification difference value, a welding position average offset verification value, and a signal response average time verification value.

[0015] Based on the welding device performance parameters and performance verification parameters, the welding device performance detection value is analyzed and processed. If the welding device performance detection value is greater than the welding device performance detection threshold, the welding device performance detection result is determined to be normal, and a welding start signal is sent.

[0016] If the welding device performance detection value is less than or equal to the welding device performance detection threshold, the welding device performance detection result is determined to be abnormal, and a fault warning signal is sent to the management terminal.

[0017] As a preferred technical solution, after the welding device is started, the welding real-time characteristic parameters of each LED lamp bead in the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing, which specifically includes: After receiving the welding start signal, the welding device performs LED lamp bead welding. Based on the monitoring equipment, the real-time characteristic parameters of the welding of each LED lamp bead are obtained in real time, including the real-time melting speed of the welding wire of each LED lamp bead, the real-time coverage area of ​​the pin, the real-time tension of the welding wire and the real-time welding temperature.

[0018] The welding feature monitoring and verification parameters are obtained from the database, including the maximum pin coverage area, the standard value of the welding wire tension, the standard welding temperature and the standard melting speed.

[0019] Based on the real-time characteristic parameters of welding of each LED lamp bead and the welding characteristic monitoring and verification parameters, the real-time welding characteristic coefficient of each LED lamp bead is obtained through analysis and processing.

[0020] As a preferred technical solution, the real-time external environment impact parameters of the welding device are acquired based on the integrated sensor, and the external environment impact correction factor of the welding device is generated through analysis and processing, specifically including: The real-time external environment influencing parameters of the welding device include the real-time external air pressure, real-time external temperature and real-time external humidity of the welding device.

[0021] The external environment influencing factors corresponding to the real-time external environment influencing parameters are extracted from the database, including the influencing factors corresponding to the real-time external air pressure, the influencing factors corresponding to the real-time external temperature, and the influencing factors corresponding to the real-time external humidity.

[0022] Based on the real-time external environment influence parameters of the welding device, the external environment influence factors corresponding to the real-time external environment influence parameters are analyzed and processed together to obtain the external environment influence correction factor of the welding device, which is used to correct the influence of the external environment on the welding quality.

[0023] As a preferred technical solution, the processing to obtain the welding adjustment mode corresponding to each LED lamp bead based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device specifically includes: The welding adjustment modes include welding adjustment mode one, welding adjustment mode two and welding adjustment mode three.

[0024] The real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device are comprehensively analyzed to obtain the corrected real-time welding characteristic coefficient of each LED lamp bead, and compared with the welding characteristic standard coefficient preset in the database. If the corrected real-time welding characteristic coefficient of a certain LED lamp bead is less than the welding characteristic standard coefficient, it is matched to welding adjustment mode one; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is equal to the welding characteristic standard coefficient, it is matched to welding adjustment mode two; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is greater than the welding characteristic standard coefficient, it is matched to welding adjustment mode three.

[0025] The preset parameter set in the welding adjustment mode 1 includes a welding pressure real-time upward adjustment value set, a welding current real-time upward adjustment value set and a welding voltage real-time upward adjustment value set.

[0026] The preset parameter set in welding adjustment group mode three includes a welding pressure real-time downward adjustment value set, a welding current real-time downward adjustment value set and a welding voltage real-time downward adjustment value set.

[0027] As a preferred technical solution, the welding quality evaluation results of each LED lamp bead are obtained by analyzing and processing, specifically including: The welding quality parameters of each LED lamp bead after welding are obtained by scanning, including the weld area size, solder joint diameter, solder joint edge size and solder joint glossiness of each LED lamp bead, and the welding quality standard parameters and welding quality allowable error value set are extracted from the database.

[0028] The welding quality standard parameters include the standard value of the weld area, the standard diameter of the weld, the standard size of the weld edge and the standard glossiness of the weld.

[0029] The welding quality allowable error value set includes the weld allowable error area, the weld spot diameter allowable error size, the weld spot size allowable error value and the weld spot gloss allowable error value.

[0030] The welding quality parameters, welding quality standard parameters and welding quality allowable error value sets of each LED lamp bead are comprehensively analyzed and processed to obtain the welding quality evaluation value of each LED lamp bead. If the welding quality evaluation value of a certain LED lamp bead is greater than or equal to the welding quality evaluation threshold, the welding quality evaluation result of the LED lamp bead is determined to be qualified. If the welding quality evaluation value of a certain LED lamp bead is less than the welding quality evaluation threshold, the welding quality evaluation result of the LED lamp bead is determined to be unqualified.

[0031] As a preferred technical solution, the analysis and processing to obtain the real-time welding characteristic coefficient of each LED lamp bead specifically includes: ; in, For the The real-time welding characteristic coefficient of each LED lamp bead, For the The real-time melting speed of the welding wire of each LED lamp bead, For the The real-time coverage area of ​​the pins of the LED lamp beads, For the The real-time tension of the welding wire of each LED lamp bead, For the The real-time welding temperature of each LED lamp bead, is the standard melting speed, The pin covers the maximum area, is the standard value of welding wire tension, The softplus function is a built-in function in Python. , The function is the activation function, , is the activation function, , e is a natural constant.

[0032] In addition, an LED lamp bead packaging and welding system is also provided, including: The welding base cleaning module is used to scan the welding base, obtain welding base defect parameters, obtain welding base cleaning time based on welding base defect parameter analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time.

[0033] The welding device trial operation module is used to control the welding device to perform a trial operation after the welding base is cleaned and dried, obtain the welding device performance test value and the welding device performance test result, and send a welding start signal if the welding device performance test result is normal.

[0034] The welding process real-time monitoring module is used to monitor the welding real-time characteristic parameters of each LED lamp bead in the welding process after the welding device is started, and analyze and process to obtain the real-time welding characteristic coefficient of each LED lamp bead.

[0035] The real-time external environment monitoring module is used to obtain the real-time external environment impact parameters of the welding device based on the integrated sensor, and analyze and process to generate the external environment impact correction factor of the welding device.

[0036] The real-time welding characteristic analysis module is used to process and obtain the welding adjustment mode corresponding to each LED lamp bead based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, and perform real-time adjustment processing.

[0037] In addition, a device is also provided, including: the device has one or more programs, and the one or more programs are executed by one or more processors to implement the method as described in the preferred technical solution.

[0038] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects: (1) The present invention provides a method for LED lamp bead packaging welding. By obtaining the cleaning time based on defect parameter analysis and processing, the cleaning process can be accurately controlled to avoid over-cleaning or under-cleaning, improve efficiency and reduce resource waste. The performance test values ​​obtained after the trial run evaluate the state of the welding device, ensure that the equipment operates under optimal conditions, reduce production interruptions caused by equipment failure, and monitor the characteristic parameters of the welding process in real time, timely detect deviations in the welding process and adjust the parameters of the welding device to ensure the consistency and reliability of the solder joints.

[0039] (2) The present invention introduces real-time welding characteristic coefficients and environmental impact correction factors, and obtains external environmental parameters through integrated sensors. The system can respond to environmental changes and ensure high-quality welding in different environments. The system can automatically adjust welding parameters according to current conditions, thereby improving the flexibility and adaptability of the welding process.

[0040] (3) The present invention performs quality inspection on each LED lamp bead after welding, thereby promptly discovering defective products, improving the overall efficiency of the production line, enhancing product consistency, reducing rework costs, ensuring product quality, and ensuring the safety of welded products.

[0041] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The present invention is a schematic flow chart of a method for packaging and welding LED lamp beads.

[0043] Figure 2 It is a schematic diagram of a LED lamp bead packaging and welding system module of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0046] See also Figure 1 As shown, an embodiment of the present invention provides a method for LED lamp bead packaging and welding, comprising: Scan the welding base to obtain welding base defect parameters, obtain the welding base cleaning time based on the welding base defect parameter analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time.

[0047] The specific process of obtaining the cleaning time of the welding base disc based on the welding base disc defect parameter analysis is as follows: The welding base defect parameters include the total area of ​​welding base defect points, the number of welding base defect points and the surface roughness of the welding base, which are obtained by scanning the welding base and performing image feature extraction technology. The welding base defect parameters are de-unitized and standardized based on MATLAB.

[0048] It should be explained that the total area of ​​weld base defects refers to the total area of ​​all defects on the surface of the weld base, usually in square millimeters (mm²) or square inches (in²). The number of weld base defects refers to the total number of defects on the surface of the weld base. Combined with the base area, the defect density (number of defects / base area) can be calculated to reflect the degree of dirtiness of the base. The surface roughness of the weld base refers to the microscopic unevenness of the base surface, usually in microns (μm).

[0049] A set of cleaning coefficients corresponding to the welding base defect parameters is extracted from the database, including the cleaning coefficient corresponding to the interval where the total area of ​​the welding base defect points is located, the cleaning coefficient corresponding to the interval where the number of welding base defect points is located, and the cleaning coefficient corresponding to the interval where the surface roughness of the welding base is located.

[0050] Based on the welding base plate defect parameters and the cleaning coefficient set corresponding to the welding base plate defect parameters, the welding base plate cleaning time is obtained through analysis and processing. The specific processing method is as follows: ; in, is the defect characteristic value of the welding base plate, is the total area of ​​defects on the welding base plate, is the number of defects on the welding base plate, is the surface roughness of the welding base plate, is the cleaning coefficient corresponding to the interval where the total area of ​​the welding base defect points is located, is the cleaning coefficient corresponding to the interval of the number of welding base plate defects, is the cleaning coefficient corresponding to the range of the surface roughness of the welding base plate. The softplus function is a built-in function in Python. .

[0051] It should be noted that the cleaning coefficient corresponding to the interval where the total area of ​​the welding base defect points is located, the cleaning coefficient corresponding to the interval where the number of welding base defect points is located, and the cleaning coefficient corresponding to the interval where the surface roughness of the welding base is located can be directly obtained from the database when used. The total area interval of the welding base defect points, the number interval of the welding base defect points, and the surface roughness interval of the welding base are pre-set in the database, and their corresponding relationship is a pre-set mapping relationship. For example: the welding base defect parameters involved in the embodiment of the present invention are input into the mapping set to obtain the cleaning coefficient corresponding to the interval where the total area of ​​the welding base defect points involved in the embodiment of the present invention is located, the cleaning coefficient corresponding to the interval where the number of welding base defect points is located, and the cleaning coefficient corresponding to the interval where the surface roughness of the welding base is located, wherein the mapping relationship is one-to-one correspondence.

[0052] It should also be noted that the welding base defect parameters include the total area of ​​welding base defect points, the number of welding base defect points and the surface roughness of the welding base. The total area of ​​welding base defect points and the number of welding base defect points are directly related. The more defect points there are, the larger the total area of ​​defect points will usually be, and vice versa. The total area of ​​defect points can be regarded as a cumulative effect of the number of defect points. Areas with high surface roughness may have more defect points because uneven surfaces are more likely to accumulate contaminants.

[0053] Based on the defect characteristic value of the welding base, a mapping match is performed with the welding base cleaning time corresponding to each defect characteristic value interval pre-stored in the database to obtain the welding base cleaning time.

[0054] After the welding base is cleaned and dried, the welding device is controlled to perform a test run, a welding device performance test value is obtained, and a welding device performance test result is obtained. If the welding device performance test result is normal, a welding start signal is sent.

[0055] The obtaining of the welding device performance test value and the welding device performance test result specifically includes: After the welding base is cleaned and dried, the welding device is controlled to perform a trial run. During the trial run, the performance parameters of the welding device are obtained by monitoring the operation log of the welding device, including the maximum welding current, the minimum welding current, the maximum welding voltage, the minimum welding voltage, the average welding position offset value and the average signal response time.

[0056] The average welding position offset value refers to the average deviation between the welding position and the predetermined welding path during the welding process. It is used to evaluate the accuracy and stability of the welding device, ensure the accuracy of the welding position, and avoid welding defects caused by welding offset.

[0057] The average signal response time refers to the average time from the issuance of the welding signal to the start of the welding device's response and the execution of the welding action. It is used to evaluate the response speed and efficiency of the welding device to ensure that the welding process can be started quickly and accurately.

[0058] The performance verification parameters of the welding device are extracted from the database, including a welding current verification difference value, a welding voltage verification difference value, a welding position average offset verification value, and a signal response average time verification value.

[0059] Based on the welding device performance parameters and performance verification parameters, the welding device performance detection value is obtained through analysis and processing. The specific processing conditions are: ; in, is the welding device performance test value, is the maximum welding current of the welding device, is the minimum welding current of the welding device, is the maximum welding voltage of the welding device, is the minimum welding voltage of the welding device, is the average offset value of the welding position of the welding device, is the average signal response time of the welding device, is the welding current calibration difference, is the welding voltage calibration difference, is the average offset calibration value of the welding position, is the signal response average time calibration value, is a natural constant, and the softplus function is a built-in function in Python. .

[0060] It should be noted that the performance parameters of the welding device include the maximum welding current, the minimum welding current, the maximum welding voltage, the minimum welding voltage, the average welding position offset value and the average signal response time. There is a certain correlation between these parameters. The two parameters of the maximum welding current and the minimum welding current usually determine the working current range of the welding device. The maximum welding voltage and the minimum welding voltage determine the working voltage range of the welding device. Changes in welding voltage will affect the stability of the arc and the shape of the molten pool. Generally, welding current and voltage are coordinated with each other. Under a certain current, increasing the voltage can increase the welding heat input, and vice versa. The average welding position offset value reflects the position stability of the welding gun or welding head during the welding process. Its relationship with current and voltage is that if the current and voltage are unstable, it may cause the welding position to shift. A small average welding position offset value means that the welding process is more accurate and stable. The average signal response time refers to the response speed of the welding device to the control signal. If the signal response time is slow, the welding current and voltage may not be adjusted in time, thereby affecting the welding quality.

[0061] If the welding device performance detection value is greater than the welding device performance detection threshold, the welding device performance detection result is determined to be normal, and a welding start signal is sent.

[0062] If the welding device performance detection value is less than or equal to the welding device performance detection threshold, the welding device performance detection result is determined to be abnormal, and a fault warning signal is sent to the management terminal.

[0063] The processing method of the welding device performance detection threshold is as follows: in a specific embodiment, the welding device performance detection threshold is directly set in the database during the development of an LED lamp bead packaging welding system involved in an embodiment of the present invention. There are many methods for setting the welding device performance detection threshold, such as obtaining it through statistical analysis, including statistically analyzing welding device performance detection parameters in a historical high-performance state (for example, a welding position offset value is less than 100 microns), performing multiple statistical processing to obtain corresponding welding device performance detection values, and performing mean processing on the welding device performance detection values ​​obtained multiple times to obtain the welding device performance detection threshold, or an expert determines the boundary between a high-performance state and a low-performance state through corresponding historical data to set it, thereby adjusting the threshold.

[0064] After the welding device is started, the welding real-time characteristic parameters of each LED lamp bead in the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing.

[0065] After the welding device is started, the welding real-time characteristic parameters of each LED lamp bead in the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing, which specifically includes: After receiving the welding start signal, the welding device performs LED lamp bead welding. Based on the monitoring equipment, the real-time characteristic parameters of the welding of each LED lamp bead are obtained in real time, including the real-time melting speed of the welding wire of each LED lamp bead, the real-time coverage area of ​​the pin, the real-time tension of the welding wire and the real-time welding temperature.

[0066] It should be noted that the real-time melting speed of welding wire refers to the rate at which the welding wire melts during the welding process. The speed of melting directly affects the speed of the welding process and the formation of the weld. A melting speed that is too fast may result in a weld that is too large or uneven, while a melting speed that is too slow may result in a weld that is too small or cold. An appropriate melting speed can ensure that the weld is of moderate size and good shape, thereby improving the welding quality.

[0067] Pin real-time coverage area Pin coverage area refers to the area of ​​solder joints formed by solder on the LED lamp bead pins. Sufficient coverage area can ensure good electrical and mechanical connections and reduce the risk of solder joints falling off. If the coverage area is insufficient, it may cause unstable electrical connections or insufficient mechanical strength. Excessive coverage area may cause excess solder, affecting the appearance or causing short circuits.

[0068] Real-time wire tensionWire tension refers to the pulling force applied to the wire during welding. Appropriate wire tension helps control the wire feeding speed and stability, thereby affecting the formation of welds. Excessive tension can cause wire breakage or unstable wire feeding, while too little tension may cause the wire to loosen and affect the welding process.

[0069] The real-time welding temperature refers to the actual temperature at the solder joint during the welding process. The welding temperature has a direct impact on the melting, fluidity and formation of the solder joint. Too high a temperature may cause the solder joint to overheat, causing solder oxidation or damage to the LED lamp beads; too low a temperature may cause the solder to not fully melt, forming a cold solder joint or a virtual solder joint. Therefore, precise control of the welding temperature is crucial to ensure welding quality.

[0070] The welding feature monitoring and verification parameters are obtained from the database, including the maximum pin coverage area, the standard value of the welding wire tension, the standard welding temperature and the standard melting speed.

[0071] Based on the welding real-time characteristic parameters of each LED lamp bead and the welding characteristic monitoring and verification parameters, the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing, specifically including: ; in, For the The real-time welding characteristic coefficient of each LED lamp bead, For the The real-time melting speed of the welding wire of each LED lamp bead, For the The real-time coverage area of ​​the pins of the LED lamp beads, For the The real-time tension of the welding wire of each LED lamp bead, For the The real-time welding temperature of each LED lamp bead, is the standard melting speed, The pin covers the maximum area, is the standard value of welding wire tension, The softplus function is a built-in function in Python. , The function is the activation function, , is the activation function, , e is a natural constant.

[0072] It should be noted that the real-time characteristic parameters of welding of each LED lamp bead, including the real-time melting speed of the welding wire, the real-time coverage area of ​​the pin, the real-time tension of the welding wire and the real-time temperature of the welding, have a certain correlation. The real-time melting speed of the welding wire is directly related to the real-time temperature of welding. The higher the temperature, the faster the melting speed of the welding wire. Excessive tension may affect the stable transmission and melting speed of the welding wire. The melting speed affects the time and shape of the solder joint formation, which in turn affects the coverage area of ​​the pin. Appropriate tension helps to form uniform solder joints, thereby covering the pins. The temperature affects the fluidity and wettability of the solder, which in turn affects the coverage area. Temperature changes may affect the physical properties of the welding wire, thereby affecting the required tension.

[0073] The real-time external environment impact parameters of the welding device are acquired based on the integrated sensor, and the external environment impact correction factors of the welding device are generated through analysis and processing.

[0074] The method of acquiring the real-time external environment impact parameters of the welding device based on the integrated sensor and analyzing and processing to generate the external environment impact correction factor of the welding device specifically includes: The real-time external environmental influencing parameters of the welding device include the real-time external air pressure, real-time external temperature and real-time external humidity of the welding device, which are obtained through an integrated environmental sensor installed outside the welding device. The real-time external environmental influencing parameters of the welding device are de-unitized and standardized based on MATLAB.

[0075] Changes in real-time external air pressure affect the effect of gas shielding during welding and the behavior of the weld pool. At high altitudes, the air pressure is low, which may cause arc instability and weaken the flow of shielding gas, thus affecting the welding quality. Under low air pressure, the density of gas molecules decreases, the protective effect of shielding gas is weakened, and it is easy to cause oxidation and other contaminants to invade.

[0076] The real-time external temperature affects the properties of the welding material, such as melting point, thermal conductivity, expansion coefficient, etc. At the same time, the external temperature will also affect the operating state of the welding equipment and the cooling rate of the welded joint. If the external temperature is low, the welding material may become more fragile, cool faster, and cracks may occur easily. Conversely, high temperature may cause increased welding deformation.

[0077] Real-time external humidity affects arc stability, weld formation, and potential weld defects during welding. In a high humidity environment, arc offset or arc instability may occur in the welding area. When humidity is high, moisture may be adsorbed on the surface of the welding material, and the moisture evaporates during welding to form pores, affecting the internal quality of the weld. At the same time, high humidity may also cause electrical system failures.

[0078] The external environment influencing factors corresponding to the real-time external environment influencing parameters are extracted from the database, including the influencing factors corresponding to the real-time external air pressure, the influencing factors corresponding to the real-time external temperature, and the influencing factors corresponding to the real-time external humidity.

[0079] Based on the real-time external environment influence parameter of the welding device, the external environment influence factor corresponding to the real-time external environment influence parameter is analyzed and processed together to obtain the external environment influence correction factor of the welding device, which is used to correct the influence of the external environment on the welding quality, specifically including: ; in, is the correction factor for the external environment impact on the welding device, The real-time external air pressure of the welding device. is the real-time external temperature of the welding device, The real-time external humidity of the welding device. is the influencing factor corresponding to the real-time external air pressure, is the influencing factor corresponding to the real-time external temperature, is the influencing factor corresponding to the real-time external humidity, The function is the activation function, .

[0080] It should be noted that the influencing factor corresponding to the real-time external air pressure, the influencing factor corresponding to the real-time external temperature, and the influencing factor corresponding to the real-time external humidity can be directly obtained from the database when used, and the corresponding relationship is a preset mapping relationship. For example, the real-time external environment influencing parameter of the welding device involved in the embodiment of the present invention is input into the mapping set to obtain the influencing factor corresponding to the real-time external air pressure of the welding device involved in the embodiment of the present invention, the influencing factor corresponding to the real-time external temperature, and the influencing factor corresponding to the real-time external humidity, wherein the mapping relationship is one-to-one correspondence.

[0081] It should also be noted that the real-time external environmental influencing parameters include the real-time external air pressure, real-time external temperature, and real-time external humidity of the welding device. There is a certain correlation between these parameters. Temperature is related to air pressure. Generally, when the temperature rises, the air pressure will also increase accordingly (in a closed system). Humidity is related to temperature. Generally, when the temperature rises, the moisture carrying capacity in the air increases, and the relative humidity may decrease. In an open environment, air pressure and temperature are usually negatively correlated, that is, when the temperature rises, the air pressure decreases, and vice versa. The relationship between humidity and temperature is more complicated. At a certain relative humidity, an increase in temperature will cause the absolute humidity in the air to increase, but the relative humidity may decrease. When the air reaches saturated humidity, a further increase in temperature will cause the relative humidity to remain unchanged, while the absolute humidity will increase. Changes in air pressure will affect the saturated water vapor pressure of the air, thereby affecting humidity. Under low air pressure conditions, the saturated water vapor pressure of the air decreases, resulting in an increase in relative humidity. During the welding process, the interaction of these external environmental parameters may affect the stability of the welding process. For example, in an environment of low temperature and high humidity, the welding material may become more fragile, while in an environment of high temperature and low air pressure, the welding pool may become more active. Therefore, in order to ensure the welding quality, these parameters need to be monitored and controlled in real time, and the welding parameters need to be adjusted according to environmental changes.

[0082] Based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, the welding adjustment mode corresponding to each LED lamp bead is obtained and real-time adjustment processing is performed.

[0083] Based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, the welding adjustment mode corresponding to each LED lamp bead is obtained, which specifically includes: The welding adjustment modes include welding adjustment mode 1, welding adjustment mode 2 and welding adjustment mode 3, wherein welding adjustment mode 1 is an upward adjustment mode, welding adjustment mode 2 is a holding mode, and welding adjustment mode 3 is a downward adjustment mode.

[0084] The real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device are comprehensively analyzed to obtain the corrected real-time welding characteristic coefficient of each LED lamp bead, and compared with the welding characteristic standard coefficient preset in the database. If the corrected real-time welding characteristic coefficient of a certain LED lamp bead is less than the welding characteristic standard coefficient, it is matched to welding adjustment mode one; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is equal to the welding characteristic standard coefficient, it is matched to welding adjustment mode two; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is greater than the welding characteristic standard coefficient, it is matched to welding adjustment mode three.

[0085] The processing to obtain the corrected real-time welding characteristic coefficient of each LED lamp bead specifically includes: ; in, For the The corrected real-time welding characteristic coefficient of each LED lamp bead, For the The real-time welding characteristic coefficient of each LED lamp bead, is the correction factor for the external environment impact on the welding device, is the activation function, .

[0086] The processing method of the welding feature standard coefficient is as follows: in a specific embodiment, the welding feature standard coefficient is directly set in the database during the development of an LED lamp bead packaging welding system involved in an embodiment of the present invention. There are many methods for setting the welding feature standard coefficient, such as obtaining it through statistical analysis, including statistically analyzing welding feature parameters under historical high welding quality, obtaining corresponding welding feature coefficients through multiple statistical processing, and averaging the welding feature coefficients obtained multiple times to obtain the welding feature standard coefficient, or experts judge the boundary between high welding quality and low welding quality through corresponding historical data to set it, thereby adjusting the standard coefficient.

[0087] The welding adjustment mode one preset parameter set includes a welding pressure real-time upward adjustment value set, a welding current real-time upward adjustment value set and a welding voltage real-time upward adjustment value set.

[0088] The welding pressure real-time upward adjustment value set includes the welding pressure real-time upward adjustment values ​​corresponding to each preset upward adjustment matching coefficient interval.

[0089] The welding current real-time upward adjustment value set includes the welding current real-time upward adjustment values ​​corresponding to each preset upward adjustment matching coefficient interval.

[0090] The welding voltage real-time upward adjustment value set includes the welding voltage real-time upward adjustment values ​​corresponding to each preset upward adjustment matching coefficient interval.

[0091] The three preset parameter sets of welding adjustment group mode include a welding pressure real-time downward adjustment value set, a welding current real-time downward adjustment value set and a welding voltage real-time downward adjustment value set.

[0092] The welding pressure real-time downward adjustment value set includes the welding pressure real-time downward adjustment values ​​corresponding to each preset downward adjustment matching coefficient interval.

[0093] The welding current real-time downward adjustment value set includes the welding current real-time downward adjustment values ​​corresponding to each preset downward adjustment matching coefficient interval.

[0094] The welding voltage real-time downward adjustment value set includes the welding voltage real-time downward adjustment values ​​corresponding to each preset downward adjustment matching coefficient interval.

[0095] When the welding adjustment mode corresponding to a certain LED lamp bead is welding adjustment mode one, the corrected real-time welding characteristic coefficient of the LED lamp bead is subtracted from the welding characteristic standard coefficient to obtain the upward matching coefficient of the LED lamp bead, and mapped and matched with the preset parameter set in welding adjustment mode one to obtain the real-time upward adjustment value of welding pressure, the real-time upward adjustment value of welding current and the real-time upward adjustment value of welding voltage corresponding to the interval where the upward matching coefficient is located.

[0096] When the welding adjustment mode corresponding to a certain LED lamp bead is welding adjustment mode 2, the welding pressure, welding current and welding voltage remain unchanged.

[0097] When the welding adjustment mode corresponding to a certain LED lamp bead is welding adjustment mode three, the corrected real-time welding characteristic coefficient of the LED lamp bead is subtracted from the welding characteristic standard coefficient to obtain the downward adjustment matching coefficient of the LED lamp bead, and mapped and matched with the preset parameter set in welding adjustment mode three to obtain the real-time downward adjustment value of welding pressure, the real-time downward adjustment value of welding current and the real-time downward adjustment value of welding voltage corresponding to the interval where the adjustment matching coefficient is located.

[0098] In another embodiment of the invention, the welding quality evaluation results of each LED lamp bead are obtained by analyzing and processing, specifically including: The monitor scans each LED lamp bead after welding, and the welding quality parameters of each LED lamp bead are obtained based on image feature analysis technology, including the weld area size, solder point diameter, solder point edge size and solder point gloss of each LED lamp bead, and the welding quality standard parameters and the maximum allowable error value set of welding quality are extracted from the database.

[0099] It should be noted that the size of the weld area refers to the area of ​​contact between the solder and the welded metal formed by the solder joint. The solder joint diameter refers to the maximum width of the solder joint in the horizontal direction. The solder joint diameter can be used to evaluate the amount of solder used, and the solder joint diameter affects the assembly and structural design of the component. The solder joint edge size refers to the solder joint edge length. The solder joint gloss refers to the reflective ability of the solder joint surface, which reflects the smoothness and wettability of the solder joint surface. High-gloss solder joints generally indicate good surface quality and good wettability. Changes in gloss may indicate defects in the solder joint, such as pores, cracks, or incomplete wetting.

[0100] The welding quality standard parameters include the standard value of the weld area, the standard diameter of the weld, the standard size of the weld edge and the standard glossiness of the weld.

[0101] The welding quality allowable error value set includes the weld allowable error area, the weld spot diameter allowable error size, the weld spot size allowable error value and the weld spot gloss allowable error value.

[0102] The welding quality parameters, welding quality standard parameters and welding quality allowable error value sets of each LED lamp bead are comprehensively analyzed and processed to obtain the welding quality evaluation value of each LED lamp bead, including: in, For the The welding quality evaluation value of each LED lamp bead, For the The size of the welding seam of each LED lamp bead, For the The soldering point diameter of each LED lamp bead, For the The edge size of the solder joint of each LED lamp bead, For the The glossiness of the solder joints of the LED lamp beads, is the standard value of the weld area. is the standard diameter of the welding point, is the standard size of the solder joint edge. is the standard glossiness of solder joints, is the allowable error area of ​​the weld, is the allowable error of the solder joint diameter, is the allowable error value of the solder joint size, is the allowable error value of solder joint glossiness, is the activation function, , e is a natural constant.

[0103] It should be noted that there is a certain correlation between the parameters of weld area size, weld diameter, weld edge size and weld gloss. Generally speaking, good weld gloss and smooth surface may mean that the weld diameter is moderate, the solder is evenly distributed, and there is no overheating or cold welding. If the weld diameter is too large or the weld area is too large, it may lead to a decrease in gloss, because an oversized weld is often accompanied by uneven solder distribution or defects during the cooling process. The weld gloss is also related to the weld edge size. If the weld edge is clear and neat, the weld gloss will usually be good. Conversely, if the weld edge is irregular, it may affect the weld gloss. A larger weld diameter may result in a larger weld area and irregular weld edges, as well as a possible reduction in gloss. A larger weld area is usually associated with a larger weld diameter and irregular weld edges, indicating poor welding quality. Regular smaller weld edges are usually associated with moderate weld diameters and good gloss, while irregular edges may be associated with welding quality problems. Good gloss is usually associated with moderate weld diameter, weld area and clear weld edges, and is an external manifestation of good welding quality.

[0104] If the welding quality assessment value of a certain LED lamp bead is greater than or equal to the welding quality assessment threshold, the welding quality assessment result of the LED lamp bead is judged to be qualified; if the welding quality assessment value of a certain LED lamp bead is less than the welding quality assessment threshold, the welding quality assessment result of the LED lamp bead is judged to be unqualified.

[0105] It should be noted that the welding quality assessment threshold is processed as follows: in a specific embodiment, the welding quality assessment threshold is set directly in the database during the development of an LED lamp bead packaging welding system involved in an embodiment of the present invention. There are many methods for setting the welding quality assessment threshold, such as obtaining it through statistical analysis, including statistically analyzing welding quality assessment parameters under historical high welding quality, performing multiple statistical processing to obtain corresponding welding quality assessment values, and performing mean processing on the welding quality assessment values ​​obtained multiple times to obtain the welding quality assessment threshold, or an expert judges the boundary between high welding quality and low welding quality through corresponding historical data to set the threshold, thereby adjusting the threshold.

[0106] In this embodiment, the present invention provides an LED lamp bead packaging and welding system, comprising: The welding base cleaning module is used to scan the welding base, obtain welding base defect parameters, obtain welding base cleaning time based on welding base defect parameter analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time.

[0107] The welding device trial operation module is used to control the welding device to perform a trial operation after the welding base is cleaned and dried, obtain the welding device performance test value and the welding device performance test result, and send a welding start signal if the welding device performance test result is normal.

[0108] The welding process real-time monitoring module is used to monitor the welding real-time characteristic parameters of each LED lamp bead in the welding process after the welding device is started, and analyze and process to obtain the real-time welding characteristic coefficient of each LED lamp bead.

[0109] The real-time external environment monitoring module is used to obtain the real-time external environment impact parameters of the welding device based on the integrated sensor, and analyze and process to generate the external environment impact correction factor of the welding device.

[0110] The real-time welding characteristic analysis module is used to analyze and process the real-time welding characteristic parameters of each LED lamp bead and the welding characteristic monitoring and verification parameters to obtain the real-time welding characteristic coefficient of each LED lamp bead.

[0111] In addition, a device is also provided, including: the device has one or more programs, and the one or more programs are executed by one or more processors to implement the method as described in the above invention content.

[0112] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0113] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A method for packaging and welding LED lamp beads, characterized in that: include: Scan the welding base to obtain the welding base defect parameters, obtain the welding base cleaning time based on the welding base defect parameters analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time; After the welding base is cleaned and dried, the welding device is controlled to perform a test run, and a performance test value of the welding device is obtained and a performance test result of the welding device is obtained. If the performance test result of the welding device is normal, a welding start signal is sent; After the welding device is started, the welding real-time characteristic parameters of each LED lamp bead during the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing; Based on the integrated sensor, the real-time external environment impact parameters of the welding device are acquired, and the external environment impact correction factors of the welding device are generated through analysis and processing; Based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, the welding adjustment mode corresponding to each LED lamp bead is obtained and real-time adjustment processing is performed.

2. According to claim 1, a method for encapsulating and welding LED lamp beads, characterized in that: The specific process of obtaining the cleaning time of the welding base disc based on the welding base disc defect parameter analysis is as follows: The welding base plate defect parameters include the total area of ​​welding base plate defect points, the number of welding base plate defect points and the surface roughness of the welding base plate; Extracting a set of cleaning coefficients corresponding to welding base plate defect parameters from the database, including a cleaning coefficient corresponding to the interval where the total area of ​​welding base plate defect points is located, a cleaning coefficient corresponding to the interval where the number of welding base plate defect points is located, and a cleaning coefficient corresponding to the interval where the surface roughness of the welding base plate is located; Based on the welding substrate defect parameters and the cleaning coefficient set corresponding to the welding substrate defect parameters, the welding substrate cleaning time is obtained through analysis and processing.

3. According to the LED lamp bead packaging and welding method of claim 1, it is characterized in that: The obtaining of the welding device performance test value and the welding device performance test result specifically includes: After the welding base is cleaned and dried, the welding device is controlled to conduct a trial run, and during the trial run, the performance parameters of the welding device are monitored and obtained, including the maximum welding current, the minimum welding current, the maximum welding voltage, the minimum welding voltage, the average offset value of the welding position, and the average signal response time; Extracting performance verification parameters of the welding device from the database, including a welding current verification difference value, a welding voltage verification difference value, a welding position average offset verification value, and a signal response average time verification value; Based on the welding device performance parameters and the performance verification parameters, the welding device performance detection value is obtained by analysis and processing. If the welding device performance detection value is greater than the welding device performance detection threshold, the welding device performance detection result is determined to be normal, and a welding start signal is sent; If the welding device performance detection value is less than or equal to the welding device performance detection threshold, the welding device performance detection result is determined to be abnormal, and a fault warning signal is sent to the management terminal.

4. The LED lamp bead packaging and welding method according to claim 1, characterized in that: After the welding device is started, the welding real-time characteristic parameters of each LED lamp bead in the welding process are monitored in real time, and the real-time welding characteristic coefficient of each LED lamp bead is obtained by analysis and processing, which specifically includes: After receiving the welding start signal, the welding device performs LED lamp bead welding, and obtains the real-time characteristic parameters of welding of each LED lamp bead in real time based on the monitoring equipment, including the real-time melting speed of the welding wire of each LED lamp bead, the real-time coverage area of ​​the pin, the real-time tension of the welding wire and the real-time welding temperature; Obtain welding feature monitoring and verification parameters from the database, including the maximum pin coverage area, standard value of wire tension, standard welding temperature and standard melting speed; Based on the real-time characteristic parameters of welding of each LED lamp bead and the welding characteristic monitoring and verification parameters, the real-time welding characteristic coefficient of each LED lamp bead is obtained through analysis and processing.

5. The LED lamp bead packaging and welding method according to claim 1, characterized in that: The method of acquiring the real-time external environment impact parameters of the welding device based on the integrated sensor and analyzing and processing to generate the external environment impact correction factor of the welding device specifically includes: The real-time external environment influencing parameters of the welding device include the real-time external air pressure, real-time external temperature and real-time external humidity of the welding device; Extracting external environment influencing factors corresponding to real-time external environment influencing parameters from the database, including influencing factors corresponding to real-time external air pressure, influencing factors corresponding to real-time external temperature, and influencing factors corresponding to real-time external humidity; Based on the real-time external environment influence parameters of the welding device, the external environment influence factors corresponding to the real-time external environment influence parameters are analyzed and processed together to obtain the external environment influence correction factor of the welding device, which is used to correct the influence of the external environment on the welding quality.

6. The LED lamp bead packaging and welding method according to claim 1, characterized in that: The processing to obtain the welding adjustment mode corresponding to each LED lamp bead based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device specifically includes: The welding adjustment mode includes welding adjustment mode 1, welding adjustment mode 2 and welding adjustment mode 3; Comprehensively analyze the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device to obtain the corrected real-time welding characteristic coefficient of each LED lamp bead, and compare it with the welding characteristic standard coefficient preset in the database. If the corrected real-time welding characteristic coefficient of a certain LED lamp bead is less than the welding characteristic standard coefficient, it is matched to welding adjustment mode one; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is equal to the welding characteristic standard coefficient, it is matched to welding adjustment mode two; if the corrected real-time welding characteristic coefficient of a certain LED lamp bead is greater than the welding characteristic standard coefficient, it is matched to welding adjustment mode three; The preset parameter set in welding adjustment mode 1 includes a welding pressure real-time upward adjustment value set, a welding current real-time upward adjustment value set and a welding voltage real-time upward adjustment value set; The preset parameter set in welding adjustment group mode three includes a welding pressure real-time downward adjustment value set, a welding current real-time downward adjustment value set and a welding voltage real-time downward adjustment value set.

7. The LED lamp bead packaging and welding method according to claim 1, characterized in that: It also includes analyzing and processing the welding quality evaluation results of each LED lamp bead, including: Scan and obtain the welding quality parameters of each LED lamp bead after welding, including the weld area, solder joint diameter, solder joint edge size and solder joint glossiness of each LED lamp bead, and extract the welding quality standard parameters and welding quality allowable error value set from the database; The welding quality standard parameters include the standard value of the weld area, the standard diameter of the weld, the standard size of the weld edge and the standard glossiness of the weld; The welding quality allowable error value set includes the weld allowable error area, the weld spot diameter allowable error size, the weld spot size allowable error value and the weld spot gloss allowable error value; The welding quality parameters, welding quality standard parameters and welding quality allowable error value sets of each LED lamp bead are comprehensively analyzed and processed to obtain the welding quality evaluation value of each LED lamp bead. If the welding quality evaluation value of a certain LED lamp bead is greater than or equal to the welding quality evaluation threshold, the welding quality evaluation result of the LED lamp bead is determined to be qualified. If the welding quality evaluation value of a certain LED lamp bead is less than the welding quality evaluation threshold, the welding quality evaluation result of the LED lamp bead is determined to be unqualified.

8. The LED lamp bead packaging and welding method according to claim 4, characterized in that: The analysis and processing to obtain the real-time welding characteristic coefficient of each LED lamp bead specifically includes: ； in, For the The real-time welding characteristic coefficient of each LED lamp bead, For the The real-time melting speed of the welding wire of each LED lamp bead, For the The real-time coverage area of ​​the pins of the LED lamp beads, For the The real-time tension of the welding wire of each LED lamp bead, For the The real-time welding temperature of each LED lamp bead, is the standard melting speed, The pin covers the maximum area, is the standard value of welding wire tension, The softplus function is a built-in function in Python. , The function is the activation function, , is the activation function, , e is a natural constant.

9. An LED lamp bead packaging and welding system, characterized in that: include: A welding base cleaning module is used to scan the welding base, obtain welding base defect parameters, obtain welding base cleaning time based on welding base defect parameter analysis and processing, and control the cleaning of the welding base according to the welding base cleaning time; The welding device trial operation module is used to control the welding device to perform a trial operation after the welding base is cleaned and dried, obtain the welding device performance test value and the welding device performance test result, and send a welding start signal if the welding device performance test result is normal; The welding process real-time monitoring module is used to monitor the welding real-time characteristic parameters of each LED lamp bead in the welding process after the welding device is started, and analyze and process to obtain the real-time welding characteristic coefficient of each LED lamp bead; A real-time external environment monitoring module is used to obtain the real-time external environment impact parameters of the welding device based on the integrated sensor, and to analyze and process to generate the external environment impact correction factor of the welding device; The real-time welding characteristic analysis module is used to process and obtain the welding adjustment mode corresponding to each LED lamp bead based on the real-time welding characteristic coefficient of each LED lamp bead and the environmental impact correction factor of the welding device, and perform real-time adjustment processing.

10. A device, characterized in that: include: The device has one or more programs, and the one or more programs are executed by one or more processors to implement the method as claimed in claims 1-8.

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