A method, system, and device for controlling the light spot during adhesive curing.

Abstract

This invention provides a method, system, and device for controlling the light spot during adhesive curing. The light spot control method includes the following steps: light intensity calibration: In a curing scenario, each light source in the array on the light source board is sequentially lit individually at a reference power to obtain the light intensity influence matrix A of each light source on each light intensity detection point; light intensity monitoring: During the curing process, the current light intensity I of each light intensity detection point is collected in real time. j The algorithm determines whether the current light intensity distribution meets the preset target intensity T and minimum uniformity threshold U_min. If not, it executes a step-wise optimization algorithm based on the light intensity influence matrix A to calculate the power coefficient x required by each light source. i Based on the optimized power coefficient x i The driving power of the light source is adjusted to form a cured light spot on the surface of the coating to be cured, which meets the target light intensity and a certain uniformity requirements. The beneficial effects of this invention are: it can achieve consistent curing speed and good uniformity, thereby improving the curing quality.

Description

Technical Field

[0001] This invention relates to the field of photocuring technology, specifically to a method and system for controlling the light spot during adhesive curing, and also to a light spot control device for implementing the aforementioned method for controlling the light spot during adhesive curing. Background Technology

[0002] In fields such as electronics manufacturing, screen assembly, and optical lens bonding, ultraviolet (UV) or visible light curing adhesives are widely used due to their advantages such as fast curing speed, environmental friendliness, and high bonding strength. The curing quality directly depends on the intensity and uniformity of the light spot. Uneven light spots can lead to insufficient or excessive curing of the adhesive in certain areas, causing quality problems such as internal stress, bond failure, or dimensional deformation.

[0003] In existing technologies, LEDs arranged in fixed positions are typically used to obtain a relatively uniform light spot. However, this method has significant drawbacks:

[0004] (1) It cannot adapt to the uniform spot requirements of curing areas of different shapes;

[0005] (2) Factors such as light source aging, individual differences in lamp beads, and changes in working distance can all lead to poor uniformity of light spot;

[0006] Therefore, there is an urgent need for an intelligent control system that can automatically correct, optimize in real time, and maintain a highly uniform curing spot. Summary of the Invention

[0007] To address the problems in the prior art, the present invention provides a method for controlling the light spot during adhesive curing, and also provides a system and a light spot control device for implementing the aforementioned method for controlling the light spot during adhesive curing.

[0008] The present invention provides a method for controlling the light spot during adhesive curing, comprising the following steps:

[0009] S1: Light Intensity Calibration: In a solidified scene, the M light sources arranged in the array on the control light source board are sequentially lit individually at a reference power, and the light intensity I of each light source at each light intensity detection point is obtained through the N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i∈[1,M], j∈[1,N];

[0010] S2: Light Intensity Monitoring: During the curing process, the current light intensity I at each light intensity detection point is collected in real time. jDetermine whether the current light intensity distribution meets the preset target intensity T and minimum uniformity threshold U_min. If yes, proceed to step S5; otherwise, proceed to step S3.

[0011] S3: Based on the light intensity influence matrix A, execute a step-wise optimization algorithm to calculate the power coefficient x required for each light source. i ;

[0012] S4: Based on the optimized power coefficient x i Adjust the driving power of the light source;

[0013] S5: Form a cured light spot on the surface of the coating to be cured, which meets the requirements of target light intensity and a certain uniformity.

[0014] Furthermore, step S1 also includes a sub-step for correcting the light intensity influence matrix A: measuring the light intensity I of each light source. ij First, turn off all light sources, measure the background light intensity at each light intensity detection point, and then calculate the unit power influence coefficient A. ij At that time, the background light intensity is subtracted to obtain the corrected light intensity influence matrix.

[0015] Furthermore, in step S2, the formula for calculating the uniformity U is: U = min(I j ) / max(I j ), where min(I j ) represents the light intensity at the light detection point where the light intensity is minimum, max(I) j ) represents the light intensity at the light intensity detection point with the highest light intensity.

[0016] Further, in step S3, the stepwise optimization algorithm includes a uniformity adjustment step, which includes the following sub-steps:

[0017] A101: Locating the extreme point: Traversing the light intensity array I j Find the maximum light intensity I_max and its corresponding light intensity detection point index j_max, and the minimum light intensity I_min and its corresponding light intensity detection point index j_min;

[0018] A102: Locating key light sources: Based on the light intensity influence matrix A, find the light source i_m that has the greatest impact on the j_max light intensity detection point and the light source i_n that has the greatest impact on the j_min light intensity detection point;

[0019] A103: Adjust the power factor of the light source as follows:

[0020] x i_m =x i_m *α

[0021] x i_n=x i_n *β

[0022] Where α is the inhibition factor, with a value less than 1, and β is the enhancement factor, with a value greater than 1.

[0023] Furthermore, the execution method of the stepwise optimization algorithm further includes a target strength approximation step, which includes the following sub-steps:

[0024] B101: Calculate the global ratio: Calculate the average light intensity I_avg of all current light intensity detection points = (ΣI j ) / N;

[0025] B102: Calculate the global scaling factor R = T / I_avg, where T is the target light intensity;

[0026] B103: Global Adjustment: Synchronously adjusts the power coefficients of all light sources. The adjustment formula is as follows: ;

[0027] B104: Determine the adjusted x i Does the boundary constraint condition satisfy: x i =max(0,min(1,x i If so, output the adjusted x. i If not, output x before adjustment. i .

[0028] Furthermore, the execution method of the step-wise optimization algorithm also includes a local bias gradient fine-tuning step, which includes the following sub-steps:

[0029] C101: Calculate the absolute deviation E between the light intensity at each light intensity detection point and the target light intensity. j =|I j -T|, and select the K light source detection points with the largest deviations, K∈[1,N);

[0030] C102: For each selected light source detection point j_k, perform gradient fine-tuning. The gradient fine-tuning method is as follows:

[0031] (1) Based on the light intensity influence matrix A, find the top P light sources that contribute the most to the light source detection point j_k, and use them as associated light sources. The index of the associated light source is i_p.

[0032] (2) Calculate the error sign S of the light source detection point j_k:

[0033] S=sign(TI j_k )

[0034] Where S takes the value 1 or -1;

[0035] (3) Fine-tune the power coefficient of each associated light source: x i_p =x i_p +S*λ*(A i_p，j_k / ΣA i_p，j_k ), where λ is the fine-tuning step size, A i_p，j_k / ΣA i_p，j_k The normalized influence weights;

[0036] (4) Apply boundary constraints x i_p ∈[0,1], after adjusting all associated light sources, the optimized power coefficient x of each light source is obtained. i .

[0037] Furthermore, the stepwise optimization algorithm executes one or more of the uniformity adjustment step, the target intensity approximation step, and the local deviation gradient fine-tuning step, gradually approaching the optimal light spot through cyclic iterations over multiple monitoring cycles.

[0038] Furthermore, during the curing cycle, steps S2-S4 are executed cyclically at a fixed frequency until the curing process ends.

[0039] The present invention also provides a light spot control system for implementing the aforementioned light spot control method for adhesive curing, comprising:

[0040] Light intensity calibration module: Used in a solidified environment to control the sequential illumination of M light sources arranged in an array on the light source board at a reference power, and to obtain the light intensity I of each light source at each of the N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i∈[1,M], j∈[1,N];

[0041] Light intensity monitoring module: Used to collect the current light intensity I at each light intensity detection point in real time during the curing process. j Determine whether the current light intensity distribution meets the preset target intensity T and minimum uniformity threshold U_min;

[0042] Power coefficient calculation module: Used to calculate the power coefficient x required for each light source based on the light intensity influence matrix A, by executing a stepwise optimization algorithm. i ;

[0043] Drive power adjustment module: used to adjust the power coefficient x according to the optimized power coefficient. i Adjust the driving power of the light source;

[0044] Light source output control module: used to control the light source to form a cured light spot on the surface of the coating to be cured, which meets the target light intensity and a certain uniformity requirements.

[0045] The present invention also provides a light spot control device, comprising:

[0046] Multi-channel controllable light source array: Equipped with multiple light sources to generate curing light;

[0047] Multiple light intensity detection points: Each light intensity detection point is equipped with a light intensity detection element, and the light intensity detection points are arrayed in the illumination area of ​​the multi-channel controllable light source array;

[0048] Programmable Logic Controller: The aforementioned light spot control system is provided. The programmable logic controller also stores the light intensity influence matrix A and the solidification parameters, and is programmed to execute the logic of the light spot control method.

[0049] Power drive module: connected between the programmable logic controller and the multi-channel controllable light source array, used to receive instructions from the programmable logic controller and output the adjusted drive power.

[0050] Compared with the prior art, the beneficial effects of the present invention are: the present invention achieves the light intensity at any position on the curing surface to meet the process requirements and has good uniformity through closed-loop control, thereby improving the curing quality and fundamentally improving the consistency of adhesive curing;

[0051] This invention is highly adaptable. The system's automatic monitoring and calibration can compensate for the effects of equipment aging, component replacement, and fluctuations in working distance. When the light emission of several light sources is not as expected, it can compensate without replacing the light sources individually. It can also avoid the problem of large differences in light emission between the light source and other light sources after replacing the light source due to problems, thereby maintaining the long-term stability of the curing device.

[0052] This invention is highly resource efficient. Through the proposed step-by-step optimization algorithm, it transforms complex mathematical problems into simple, sequential steps suitable for execution by industrial PLCs, eliminating the need for high-performance computing equipment and effectively reducing implementation costs.

[0053] The target light intensity and uniformity thresholds of this invention can be flexibly set according to the photosensitive characteristics of different adhesives, and have a wide range of applications. Attached Figure Description

[0054] To more clearly illustrate the solutions in this invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0055] Figure 1 This is a flowchart of the light spot control method of the present invention;

[0056] Figure 2 This is a schematic diagram of the lamp board structure of the present invention;

[0057] Figure 3 This is a schematic diagram of an embodiment of the light intensity detection plate of the present invention;

[0058] Figure 4 This is a schematic diagram of the execution logic of the logical judgment function of the present invention. Detailed Implementation

[0059] Unless otherwise defined, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings are used to distinguish different objects, not to describe a particular order.

[0060] In this invention, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment to other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this invention can be combined with other embodiments.

[0061] To enable those skilled in the art to better understand the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0062] like Figure 1 As shown, the method for controlling the light spot during adhesive curing according to the present invention includes the following steps:

[0063] S1: Light Intensity Calibration: In a solidified scene, the M light sources arranged in the array on the control light source board are sequentially lit individually at a reference power, and the light intensity I of each light source at each light intensity detection point is obtained through the N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i∈[1,M], j∈[1,N];

[0064] S2: Light Intensity Monitoring: During the curing process, the current light intensity I at each light intensity detection point is collected in real time. j Determine whether the current light intensity distribution meets the preset target intensity T and minimum uniformity threshold U_min. If yes, proceed to step S5; otherwise, proceed to step S3.

[0065] S3: Based on the light intensity influence matrix A, execute a step-wise optimization algorithm to calculate the power coefficient x required for each light source. i ;

[0066] S4: Based on the optimized power coefficient x i Adjust the driving power of the light source;

[0067] S5: Form a cured light spot on the surface of the coating to be cured, which meets the requirements of target light intensity and a certain uniformity.

[0068] Preferably, step S1 further includes a sub-step for correcting the light intensity influence matrix A: measuring the light intensity I of each light source. ij First, turn off all light sources, measure the background light intensity at each light intensity detection point, and then calculate the unit power influence coefficient A. ij At that time, the background light intensity is subtracted to obtain the corrected light intensity influence matrix. This makes the light spot control more precise.

[0069] In step S2, the formula for calculating the uniformity U of light intensity is:

[0070] U=min(I j ) / max(I j )

[0071] Wherein, min(I j ) represents the light intensity at the light detection point where the light intensity is minimum, max(I) j U_min represents the light intensity at the light detection point with the highest light intensity. In this example, the minimum uniformity threshold U_min is set to 0.93. Of course, it can also be set to a higher value according to the uniformity requirements to achieve a better uniformity effect for each light source.

[0072] In step S3, the step-by-step optimization algorithm includes one or more of the following steps: uniformity adjustment, target intensity approximation, and local deviation gradient fine-tuning. Preferably, during the curing process, by executing one or more of the step-by-step optimization algorithms, multiple monitoring cycles are iterated to gradually approach the optimal light spot and improve the curing effect.

[0073] Preferably, in this example, light intensity monitoring can be automatically started during the curing cycle. A fixed frequency, such as 1Hz, is set to cycle through steps S2-S4 until the curing process ends, thereby achieving continuous and dynamic optimization and maintenance of the light spot.

[0074] As an embodiment of the present invention, the step-by-step optimization algorithm of this example includes a uniformity adjustment step, a target intensity approximation step, and a local deviation gradient fine-tuning step executed in sequence. The execution process is described in detail below.

[0075] Phase 1: Rapidly adjust the uniformity of the light source matrix through a uniformity adjustment step. This phase aims to quickly improve the uniformity of the light spot. Its operation does not depend on precise target values, but only focuses on reducing the maximum difference.

[0076] The uniformity adjustment step includes the following sub-steps:

[0077] A101: Locating the extreme point: Traversing the light intensity array I j Find the maximum light intensity I_max and its corresponding light intensity detection point index j_max, and the minimum light intensity I_min and its corresponding light intensity detection point index j_min;

[0078] A102: Locating Key Light Sources: Based on the light intensity influence matrix A, identify the light source i_m that has the greatest impact on the j_max light intensity detection point and the light source i_n that has the greatest impact on the j_min light intensity detection point. i_m，j_max A is the maximum value in the j_max column. i_n，j_min The maximum value in the j_min column;

[0079] A103: Perform heuristic adjustments to the light source power factor as follows:

[0080] x i_m =x i_m *α

[0081] x i_n =x i_n *β

[0082] In this example, α is the inhibition factor, which takes a value less than 1. In this example, it can take a value of 0.95. β is the enhancement factor, which takes a value greater than 1. In this example, it can take a value of 1.05. By suppressing the strong and supporting the weak, the uniformity can be quickly improved.

[0083] Phase Two: Global Approximation of Target Intensity After the initial improvement in uniformity, this example uses a target intensity approximation step to adjust the overall light intensity level toward the process target value.

[0084] The target strength approximation steps in this example include the following sub-steps:

[0085] B101: Calculate the global ratio: Calculate the average light intensity I_avg of all current light intensity detection points = (ΣI j ) / N;

[0086] B102: Calculate the global scaling factor R=T / I_avg, where T is the target light intensity, which can be set to 900 in this example, depending on factors such as the number of light sources and curing efficiency;

[0087] B103: Global Adjustment: Synchronously adjusts the power coefficients of all light sources. The adjustment formula is as follows: ;

[0088] B104: Determine the adjusted x i Does the boundary constraint condition satisfy: x i =max(0,min(1,x i To ensure the scaled power factor remains within the valid range, if it is within the valid range, output the adjusted x. i If it is no longer within the valid range, output the x before adjustment. i This step aims to move the entire system to the vicinity of the target intensity.

[0089] Phase 3: Based on the first two phases, this invention uses a local deviation gradient fine-tuning step to achieve local deviation gradient fine-tuning. This phase is used to refine the correction of residual local deviations.

[0090] This example of local bias gradient fine-tuning includes the following sub-steps:

[0091] C101: Identify key deviation points: Calculate the absolute deviation E between the light intensity at each light intensity detection point and the target light intensity. j =|I j -T|, and select the K light source detection points with the largest deviation, K∈[1,N), K is usually taken as 2~3 to control the amount of calculation;

[0092] C102: Perform gradient fine-tuning for each selected light source detection point j_k.

[0093] The gradient fine-tuning method is as follows:

[0094] (1) Based on the light intensity influence matrix A, find the top P light sources that contribute the most to the light source detection point j_k, and use them as associated light sources. The index of the associated light source is i_p. In this example, P is 2.

[0095] (2) Calculate the error sign S of the light source detection point j_k:

[0096] S=sign(TI j_k )

[0097] Where S takes the value 1 or -1, where S=1 indicates insufficient light intensity and S=-1 indicates excessive light intensity;

[0098] (3) Fine-tune the power coefficient of each associated light source: x i_p=x i_p +S*λ*(A i_p，j_k / ΣA i_p，j_k ), where λ is the fine-tuning step size, which can be set to 0.02 in this example, A i_p，j_k / ΣA i_p，j_k To normalize the impact weights, we ensure that light sources that contribute significantly more are adjusted more broadly.

[0099] (4) Apply boundary constraints x i_p ∈[0,1], after adjusting all associated light sources, the optimized power coefficient x of each light source is obtained. i .

[0100] After the stepwise optimization algorithm in this example is executed, the optimized power coefficient array is output. The power coefficient array includes the power coefficient x of each light source. i The control system converts this power coefficient array into the corresponding PWM duty cycle or drive current value and outputs it to the light source array.

[0101] This optimization process is executed cyclically during the curing process until the curing process ends, thereby achieving continuous and dynamic optimization and maintenance of the light spot.

[0102] The present invention also provides a light spot control system for implementing the aforementioned light spot control method for adhesive curing, comprising:

[0103] Light intensity calibration module: Used in a solidified environment to control the sequential illumination of M light sources arranged in an array on the light source board at a reference power, and to obtain the light intensity I of each light source at each of the N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i∈[1,M], j∈[1,N];

[0104] Light intensity monitoring module: Used to collect the current light intensity I at each light intensity detection point in real time during the curing process. j Determine whether the current light intensity distribution meets the preset target intensity T and minimum uniformity threshold U_min;

[0105] Power coefficient calculation module: Used to calculate the power coefficient x required for each light source based on the light intensity influence matrix A, by executing a stepwise optimization algorithm. i ;

[0106] Drive power adjustment module: used to adjust the power coefficient x according to the optimized power coefficient. i Adjust the driving power of the light source;

[0107] Light source output control module: used to control the light source to form a cured light spot on the surface of the coating to be cured, which meets the target light intensity and a certain uniformity requirements.

[0108] To achieve the above-mentioned spot control, the present invention also provides a spot control device, comprising:

[0109] Multi-channel controllable light source array: This array is mounted on light source plate 1, and consists of multiple channels 101 arranged in a light source array to generate curing light, such as... Figure 2 As shown.

[0110] Multiple light intensity detection points 201 are disposed on the calibration plate fixture 2. Each light intensity detection point is equipped with a light intensity detection element. The light intensity detection points 201 are arrayed and distributed within the illumination area of ​​the multi-channel controllable light source array. In this example, 15 light intensity detection points 201 are set around the edge of the area to be cured. In this example, they can also be set in other ways such as a square array or a circle. The light intensity detection element in this example is a photoelectric sensor.

[0111] A programmable logic controller (PLC) stores a light intensity influence matrix A and solidification parameters, and is programmed to execute logic for a light spot control method.

[0112] The power drive module is connected between the programmable logic controller and the multi-channel controllable light source array, and is used to receive instructions from the programmable logic controller and output the adjusted drive power.

[0113] As an embodiment of the present invention, the programmable logic controller of the present invention is a controller equipped with an industrial PLC (programmable logic controller) and an LED constant current driver board.

[0114] The light spot control method of this invention is activated during the initial installation or periodic maintenance of the light spot control device. An industrial PLC controls the LED light source array, sequentially illuminating individual LEDs to standard power (e.g., 1000mA). Simultaneously, the light intensity values ​​of all photoelectric sensors are recorded. After subtracting ambient light, the light intensity influence matrix A is calculated. This light intensity matrix system forms the basis for all subsequent optimizations.

[0115] This example uses the should_optimize function installed in the industrial PLC to execute the judgment logic. In this example, the should_optimize function is the "intelligent trigger" of the whole optimization algorithm. Its core value lies in: using extremely low computational cost, it imitates human judgment to decide when to start the time-consuming optimization calculation, thereby maximizing efficiency within the limited resources of the industrial PLC.

[0116] like Figure 4 As shown, the logical calculation process of the should_optimize function in this example is as follows:

[0117] (1) Start by reading the light intensity values ​​of each light intensity detection point and then executing the decision-making process;

[0118] (2) Determine whether the uniformity meets the standard (light uniformity is greater than 0.93). If yes, execute step (3). If no, immediately trigger optimization, reset the state stabilization counter to 0, output TRUE, and immediately execute optimization.

[0119] (3) Determine whether the overall strength meets the standard (total absolute deviation is less than 300). If yes, execute step (4). If no, immediately trigger optimization, reset the state stabilization counter to 0, output TRUE, and immediately execute optimization.

[0120] (4) Determine if there are any outliers (the deviation of all points is less than 50). If so, increment the state stability counter by 1.

[0121] (5) Determine if the counter is greater than 20. If it is, determine the state is good and output FALSE to skip the optimization. If it is, output TRUE to perform the optimization.

[0122] Through the logic control of this invention, the power of each light source unit is dynamically adjusted to generate and maintain an optimized light spot with stable intensity and high uniformity (uniformity > 93%) on the adhesive curing surface, thereby ensuring consistent adhesive curing speed and reliable quality.

[0123] As can be seen from the above, the innovation of this invention lies in:

[0124] (1) Improved curing quality: This invention achieves that the light intensity at any position on the curing surface meets the process requirements and has good uniformity through closed-loop control, which fundamentally improves the consistency of adhesive curing;

[0125] (2) Strong adaptability: The automatic monitoring and calibration of this invention can compensate for the effects of equipment aging, component replacement and working distance fluctuation. When the light emission of several light sources is not as expected, it can be compensated without replacing the light source separately. It can also avoid the problem of large differences in light emission between the light source and other light sources after the light source is replaced due to problems, thereby maintaining the long-term stability of the curing device.

[0126] (3) High resource efficiency: Through the proposed step-by-step optimization algorithm, complex mathematical problems are transformed into simple serialized steps suitable for industrial PLC execution, without the need for high-performance computing equipment, effectively reducing implementation costs;

[0127] (4) Flexible and configurable: The target light intensity and uniformity threshold of the present invention can be flexibly set according to the photosensitive characteristics of different adhesives. It has a wide range of applications, especially suitable for precision electronic assembly, optical device bonding and other fields where high curing uniformity is required.

[0128] The specific embodiments described above are preferred embodiments of the present invention and are not intended to limit the specific scope of the present invention. The scope of the present invention includes, but is not limited to, these specific embodiments. All equivalent changes made in accordance with the present invention are within the protection scope of the present invention.

Claims

1. A method for controlling the light spot during adhesive curing, characterized in that, Includes the following steps: S1: Light Intensity Calibration: In a solidified scene, the M light sources arranged in the array on the control light source board are sequentially lit individually at a reference power, and the light intensity I of each light source at each light intensity detection point is obtained through the N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i is the index of the light source, j is the index of the light intensity detection point, i∈[1,M], j∈[1,N]; S2: Light Intensity Monitoring: During the curing process, the current light intensity I at each light intensity detection point is collected in real time. j Determine whether the current light intensity distribution meets the preset target light intensity T and whether the uniformity U meets the minimum uniformity threshold U_min requirement. If yes, proceed to step S5; otherwise, proceed to step S3. S3: Based on the light intensity influence matrix A, execute a step-wise optimization algorithm to calculate the power coefficient x required for each light source. i ; S4: Based on the optimized power coefficient x i Adjust the driving power of the light source; S5: Form a cured spot on the surface of the coating to be cured that meets the target light intensity and uniformity requirements. In step S3, the stepwise optimization algorithm includes a uniformity adjustment step, which includes the following sub-steps: A101: Locating the extreme point: Traversing through each light intensity I j Given a light intensity array, find the maximum light intensity I_max and its corresponding light intensity detection point index j_max, and the minimum light intensity I_min and its corresponding light intensity detection point index j_min; A102: Locating key light sources: Based on the light intensity influence matrix A, find the light source i_m that has the greatest impact on the j_max light intensity detection point and the light source i_n that has the greatest impact on the j_min light intensity detection point; A103: Adjust the power factor of the light source as follows: x i_m =x i_m *a x i_n =x i_n *b Where α is the inhibition factor, with a value less than 1, and β is the enhancement factor, with a value greater than 1.

2. The method for controlling the light spot during adhesive curing according to claim 1, characterized in that: Step S1 also includes a correction sub-step for the light intensity influence matrix A: measuring the light intensity I of each light source. ij First, turn off all light sources, measure the background light intensity at each light intensity detection point, and then calculate the unit power influence coefficient A. ij At that time, the background light intensity is subtracted to obtain the corrected light intensity influence matrix.

3. The method for controlling the light spot during adhesive curing according to claim 1 or 2, characterized in that: In step S2, the formula for calculating uniformity U is: U = min(I j ) / max(I j ), where min(I j ) represents the light intensity at the light detection point where the light intensity is minimum, max(I) j ) represents the light intensity at the light intensity detection point with the highest light intensity.

4. The method for controlling the light spot during adhesive curing according to claim 1 or 2, characterized in that: The execution method of the step-wise optimization algorithm further includes a target strength approximation step, which includes the following sub-steps: B101: Calculate the global ratio: Calculate the average light intensity I_avg of all current light intensity detection points = (ΣI j ) / N; B102: Calculate the global scaling factor R = T / I_avg, where T is the target light intensity; B103: Global Adjustment: Synchronously adjusts the power coefficients of all light sources. The adjustment formula is: x i =x i *R, ∀i∈[1,M]; B104: Determine the adjusted x i Does it satisfy the boundary? Constraints: x i =max(0,min(1,x i If so, output the adjusted x. i If not, output x before adjustment. i .

5. The method for controlling the light spot during adhesive curing according to claim 4, characterized in that: The execution method of the step-wise optimization algorithm further includes a local bias gradient fine-tuning step, which includes the following sub-steps: C101: Calculate the absolute deviation E between the light intensity at each light intensity detection point and the target light intensity. j =|I j -T|, and select the K light intensity detection points with the largest deviations, K∈[1,N); C102: For each selected light intensity detection point j_k, perform gradient fine-tuning. The gradient fine-tuning method is as follows: (1) Based on the light intensity influence matrix A, find the top P light sources that contribute the most to the light intensity detection point j_k, and use them as associated light sources. The index of the associated light source is i_p. (2) Calculate the error sign S of the light intensity detection point j_k: S=sign(T-I j_k ) Where S takes the value 1 or -1; (3) Fine-tune the power coefficient of each associated light source: x i_p =x i_p +S*λ*(A i_p，j_k / ΣA i_p，j_k ), where λ is the fine-tuning step size, A i_p，j_k / ΣA i_p，j_k The normalized influence weights; (4) Apply boundary constraints x i_p ∈[0,1], after adjusting all associated light sources, the optimized power coefficient x of each light source is obtained. i .

6. The method for controlling the light spot during adhesive curing according to claim 5, characterized in that: The stepwise optimization algorithm executes one or more of the uniformity adjustment step, the target intensity approximation step, and the local deviation gradient fine-tuning step, and gradually approaches the optimal light spot through cyclic iterations over multiple monitoring cycles.

7. The method for controlling the light spot during adhesive curing according to claim 1 or 2, characterized in that: During the curing cycle, steps S2-S4 are executed cyclically at a fixed frequency until the curing process is completed.

8. A light spot control system for implementing the light spot control method for adhesive curing as described in any one of claims 1-7, characterized in that, include: Light intensity calibration module: Used in a solidified environment to control the sequential illumination of M light sources arranged in an array on the light source board at a reference power, and to obtain the light intensity I of each light source at each light intensity detection point through N light intensity detection points distributed in the array. ij Then, the influence coefficient A of each light source on the unit power of each light intensity detection point is calculated. ij All the unit power influence coefficients constitute the light intensity influence matrix A, where M and N are positive integers, i∈[1,M], j∈[1,N]; Light intensity monitoring module: Used to collect the current light intensity I at each light intensity detection point in real time during the curing process. j Determine whether the current light intensity distribution meets the preset target light intensity T, and whether the uniformity U meets the minimum uniformity threshold U_min requirement; Power coefficient calculation module: Used to calculate the power coefficient x required for each light source based on the light intensity influence matrix A, by executing a stepwise optimization algorithm. i ; Drive power adjustment module: used to adjust the power coefficient x according to the optimized power coefficient. i Adjust the driving power of the light source; Light source output control module: used to control the light source to form a curing spot on the surface of the coating to be cured that meets the target light intensity and uniformity requirements.

9. A light spot control device, characterized in that, include: Multi-channel controllable light source array: Equipped with multiple light sources to generate curing light; Multiple light intensity detection points: Each light intensity detection point is equipped with a light intensity detection element, and the light intensity detection points are arrayed in the illumination area of ​​the multi-channel controllable light source array; Programmable Logic Controller: The system includes the light spot control system as described in claim 8, wherein the programmable logic controller further stores the light intensity influence matrix A and the solidification parameters, and is programmed to execute the logic of the light spot control method; The power drive module is connected between the programmable logic controller and the multi-channel controllable light source array, and is used to receive instructions from the programmable logic controller and output the adjusted drive power.

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