A microfluidic laser-to-light method, apparatus, medium, and device

Abstract

This application belongs to the field of micro-jets laser technology and discloses a method, apparatus, medium, and device for micro-jets laser alignment. The method includes: acquiring an alignment detection image; determining, based on the alignment detection image, the working state of the micro-jets laser emitted by the micro-jets laser emitter entering the micro-jets laser processing device for processing; determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; generating a motion trend for the jet nozzle and / or the micro-jets laser emitter based on the alignment strategy, wherein the motion trend indicates the deviation direction between the micro-jets laser and the jet nozzle; and controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle. This application can improve the alignment accuracy and efficiency of micro-jets lasers.

Description

Technical Field

[0001] This application belongs to the field of microfluidic laser technology, specifically relating to a microfluidic laser light focusing method, device, medium, and equipment. Background Technology

[0002] Currently, microjets laser processing equipment is widely used in the semiconductor industry due to its low heat impact, high efficiency, large working distance, and processing size down to the micrometer level. The quality of the light effect determines the duration of use of the jet nozzle and the intensity of the microjets laser.

[0003] In related technologies, traditional microjets laser alignment systems include a jet head, a laser reflector, and a camera. Traditional alignment systems typically employ manual or semi-automatic methods, observing the internal image of the jet head through a camera and adjusting the reflector position using a lead screw or motor. This approach has the following problems: First, because the inside of the jet head cannot provide effective illumination, the position of the nozzle (i.e., the tiny outlet at the end of the jet head) is not clear enough, leading to deviations in the nozzle observed during manual alignment, resulting in low alignment accuracy. Second, alignment requires finding the laser midpoint before moving the laser, making the operation complex and time-consuming.

[0004] Therefore, improving the alignment accuracy and efficiency of microfluidic lasers is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] The main objective of this application is to provide a microfluidic laser alignment method, apparatus, medium, and device to improve the alignment accuracy and efficiency of microfluidic lasers.

[0006] To achieve the above objectives, this application provides the following technical solution:

[0007] A micro-jets laser alignment method is characterized by being applied to a micro-jets laser processing apparatus, the apparatus comprising a micro-jets laser emitter, a jet nozzle, and an image acquisition device, the image acquisition device being used to acquire an alignment detection image within the jet nozzle; the method comprising: acquiring the alignment detection image; determining, based on the alignment detection image, a working state in which the micro-jets laser emitted by the micro-jets laser emitter enters the micro-jets laser processing apparatus for processing; determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; generating a motion trend for the jet nozzle and / or the micro-jets laser emitter based on the alignment strategy, wherein the motion trend is used to indicate the deviation direction between the micro-jets laser and the jet nozzle; and controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0008] Optionally, determining the alignment strategy between the micro-jets laser and the jet nozzle based on the operating state includes: in response to the operating state where the micro-jets laser enters the jet nozzle, determining the alignment strategy as a first alignment strategy, wherein the first alignment strategy is used to indicate the motion trend of generating the jet nozzle and / or the micro-jets laser emitter using the center position of the jet nozzle; and in response to the operating state where the micro-jets laser does not enter the jet nozzle, determining the alignment strategy as a second alignment strategy, wherein the second alignment strategy is used to indicate the motion trend of generating the jet nozzle and / or the micro-jets laser emitter using the high-brightness pixel discrete trend.

[0009] Optionally, in response to the first light-matching strategy, generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the first light-matching strategy includes: determining the center position of the jet nozzle based on the light-matching detection image; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the center position.

[0010] Optionally, determining the center position of the jet nozzle based on the light detection image includes: determining the contour information of the jet nozzle based on the light detection image, wherein the contour information is used to indicate the geometric feature information of the jet nozzle in the light detection image; and fitting the contour information to determine the center position of the jet nozzle.

[0011] Optionally, in response to the light matching strategy being a second light matching strategy, generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the second light matching strategy includes: determining the high-brightness pixel discrete trend in the light matching detection image based on the light matching detection image, wherein the high-brightness pixel discrete trend is used to indicate the pixel changes in the light matching detection image; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete trend.

[0012] Optionally, generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete trend includes: extracting high-brightness pixel discrete information from the high-brightness pixel discrete trend, wherein the high-brightness pixel discrete information is used to indicate the degree of dispersion of the distribution of high-brightness pixels in the light detection image; if the high-brightness pixel discrete information satisfies the discrete preset information, then determining the center information of the micro-jet laser; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete information and the center information of the micro-jet laser.

[0013] Optionally, generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete trend further includes: if the high-brightness pixel discrete information does not satisfy the discrete preset information, then determining the position information of the jet nozzle and the center information of the micro-jet laser; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the position information and center information of the jet nozzle.

[0014] This application also provides an apparatus for implementing the method described above, the apparatus comprising: an acquisition module for acquiring an alignment detection image; a first determination module for determining, based on the alignment detection image, a working state in which the micro-jets emitted by the micro-jets laser emitter enter the micro-jets laser processing device for processing; a second determination module for determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; a generation module for generating, based on the alignment strategy, a motion trend of the jet nozzle and / or the micro-jets laser emitter, wherein the motion trend indicates the deviation direction between the micro-jets laser and the jet nozzle; and a control module for controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend, so as to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0015] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the microjets laser focusing method as described in any of the preceding claims.

[0016] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the microjets laser focusing method as described in any of the preceding claims.

[0017] The micro-jets laser alignment method of this application acquires alignment detection images of the micro-jets laser; based on the alignment detection images, it determines the working state of the micro-jets laser entering the micro-jets laser processing device for processing; and then, based on the different working states in which the laser can be processed within the laser micro-jets, it determines different alignment strategies between the laser and the jet nozzle; according to the determined alignment strategies, it generates the motion trend of the jet nozzle and / or the micro-jets laser emitter; and then, based on the motion trend, it controls the movement of the jet nozzle and / or the micro-jets laser emitter. Because this application can determine corresponding alignment strategies based on different working states of the laser entering the jet nozzle, it improves the efficiency and accuracy of alignment, thereby achieving the technical effect of improving the processing efficiency of micro-jets laser processing equipment and solving the technical problem of low efficiency in micro-jets laser processing equipment during processing. Attached Figure Description

[0018] Figure 1 This is one of the flowcharts of a microfluidic laser focusing method according to an embodiment of this application;

[0019] Figure 2 This is a second flowchart of a microfluidic laser focusing method according to an embodiment of this application;

[0020] Figure 3 This is the third flowchart of a microfluidic laser focusing method according to an embodiment of this application;

[0021] Figure 4 This is the fourth flowchart of a microfluidic laser focusing method according to an embodiment of this application;

[0022] Figure 5 This is a flowchart of a light-gathering method according to an embodiment of this application;

[0023] Figure 6 This is a flowchart illustrating how to determine the motion trend of an optical device according to an embodiment of this application;

[0024] Figure 7 This is a schematic diagram of a microfluidic laser alignment system structure according to an embodiment of this application;

[0025] Figure 8(a) is a schematic diagram of a laser locator according to an embodiment of this application;

[0026] Figure 8(b) is a schematic diagram of a nozzle moving according to a trend according to an embodiment of this application;

[0027] Figure 8(c) is a schematic diagram of a laser moving according to the center of the nozzle after entering the nozzle according to an embodiment of this application;

[0028] Figure 9 This is a schematic diagram of a microfluidic laser focusing device according to an embodiment of this application;

[0029] Figure 10 A schematic diagram of the physical structure of an electronic device is provided;

[0030] The annotations in the attached figures are explained as follows:

[0031] 701. Laser recognition module; 702. Nozzle recognition module; 703. Motion trend recognition module; 704. Motion flow control module; 910. Acquisition module; 920. First determination module; 930. Second determination module; 940. Generation module; 950. Control module; 1010. Processor; 1020. Communication interface; 1030. Memory; 1040. Communication bus.

[0032] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0034] Microjets are widely used in the semiconductor industry due to their low heat impact, high efficiency, long working distance, and ability to process micrometer-scale materials. The quality of the light transmission determines the duration of the jet nozzle's operation and the intensity of the microjets.

[0035] Traditional micro-jet laser alignment systems require a jet head, laser reflector, camera, etc. The laser reflector is driven by a lead screw or linear motor, or the lead screw is rotated manually. The direction of the reflector's movement is determined by observing the image formed by the camera inside the jet head. There are also electric focusing devices, but the focusing work is still done manually.

[0036] Therefore, traditional alignment systems have some drawbacks. First, because the nozzle position is not clearly defined due to the lack of effective illumination inside the jet head, the nozzle observed during manual alignment may be inaccurate, resulting in slightly less precise alignment. Second, alignment requires finding the laser midpoint before moving the nozzle, which is a complex and time-consuming operation.

[0037] Based on this, embodiments of this application provide a method, apparatus, and storage medium for focusing light in microjets. By detecting the microjets and determining corresponding focusing strategies based on different operating states of the laser entering the jet nozzle, the efficiency and accuracy of focusing are improved, thereby achieving the technical effect of increasing production efficiency in microjets and solving the technical problem of low production efficiency in microjets.

[0038] Figure 1 This is one of the flowcharts of a microjets laser focusing method according to an embodiment of this application. This microjets laser focusing method can be executed by a processor of an electronic device, such as... Figure 1 As shown, this microfluidic laser focusing method may include the following steps:

[0039] Step 110: Acquire the light detection image.

[0040] In this implementation, images of the microfluidic laser processing are acquired in real time, i.e., images of the light detection process. For example, images of the microfluidic laser processing are acquired through the laser recognition module of the alignment system. This is only an example and does not limit the specific method of acquiring the light detection image.

[0041] Optionally, by acquiring real-time images of the light detection, alignment deviations between the laser and the nozzle can be detected instantly. This real-time feedback mechanism enables the automated system to quickly adjust the position of the laser or nozzle, ensuring that the laser is always precisely coupled to the water jet.

[0042] Step 120: Based on the light detection image, determine the working state of the micro-jets emitted by the micro-jets laser emitter entering the micro-jets laser processing device for processing;

[0043] In this implementation, after obtaining the light detection image in step 110, this application determines the working state of the micro-jets laser entering the micro-jets laser processing device for processing based on the light detection image, that is, determines the working state of the micro-jets laser entering the laser micro-jets processing equipment for processing. Specifically, this embodiment, based on the obtained light detection image, analyzes the pixel distribution characteristics and geometric shape of the bright areas in the image to determine whether the micro-jets laser has successfully entered the micro-jets laser processing device and is in a processable working state. Specifically, firstly, based on the previously recorded laser position as a reference, the concentration of the laser spot is evaluated by performing a high-brightness pixel dispersion analysis on the current image; simultaneously, the outline of the bright area is fitted using a roundness detection algorithm, and the degree of fit between its center position and the ideal circle is calculated using the following formula:

[0044]

[0045] in, It represents the Euclidean distance between two points, i.e., the quantified value of the degree of fit; The pixel coordinates of the target point (recorded as the laser center position); This represents the pixel coordinates of the nozzle center obtained through image processing fitting.

[0046] If the fitted circle center and the recorded laser center position have a very high degree of overlap (e.g., the distance difference is less than 1 pixel), and the bright area has good roundness characteristics, then it is determined that the micro-jet laser has accurately entered the jet nozzle and is in a working state that can be precision processed.

[0047] In addition, it should be noted that in the following text, the light detection image can also be referred to as an image, the micro-jet laser can also be referred to as a laser, and the jet nozzle can also be referred to as a nozzle.

[0048] For example, this application can accurately determine whether a micro-jets laser has entered the nozzle and is in a processable state by analyzing the brightness characteristics of the nozzle region in the optical detection image in real time. When the laser has not yet entered the nozzle, the nozzle exhibits low grayscale characteristics due to the lack of laser illumination, and its brightness is similar to the surrounding background, tending towards black. Once the laser couples into the nozzle, due to the strong reflection and scattering effect of the laser, the overall brightness of the nozzle region is significantly increased, forming a distinct bright circular spot. Upon detection, the average grayscale value of this bright circular spot is usually greater than 200. Based on this brightness abrupt change, the contour and position information of the nozzle can be accurately extracted by further using image binarization segmentation and morphological processing (such as closing operations, circular structuring element filtering, etc.), thereby achieving stable and automated discrimination of the laser and nozzle alignment status.

[0049] Optionally, the optical detection image provides real-time status information on the laser's entry into the nozzle. This allows the system to continuously monitor the alignment status during processing and make fine adjustments as needed, thereby improving the production efficiency of microjets laser processing.

[0050] Step 130: Based on the working state, determine the light alignment strategy between the microjets laser and the jet nozzle.

[0051] In this embodiment, after determining in step 120 that the micro-jets emitted by the micro-jets laser emitter have entered the laser micro-jets and can be processed, the laser alignment strategy between the laser and the jet nozzle is determined according to different working states.

[0052] Optionally, after the laser successfully enters the jet nozzle, the overall brightness of the nozzle area is significantly enhanced due to the reflection and scattering effects of the laser. Under the condition of high contrast with the surrounding dark background, a threshold-bias-based alignment method can be used to achieve precise alignment. This method first performs adaptive thresholding processing (such as the Otsu algorithm) on the acquired image to separate the bright nozzle area; then, morphological operations are applied to remove noise and smooth the contour, accurately extracting the nozzle's binarized mask. Subsequently, the sub-pixel-level center coordinates of the nozzle are calculated using contour tracking and least-squares circle fitting algorithms, and this center position is compared with the preset laser spot center coordinates to calculate the Euclidean distance deviation between the two. Finally, based on this deviation, the adjustment amount and direction are output to the motion control module to drive the actuator to move the nozzle or laser until the deviation approaches zero, ultimately achieving high-precision and automated alignment of the laser and the nozzle.

[0053] Optionally, when the laser has not yet entered the jet nozzle, the nozzle area is similar in grayscale to the surrounding background and difficult to directly identify. At this time, although the bright pixels formed by the laser spot in the image are not coupled into the nozzle, they exhibit a clear spatial dispersion trend. This application implements a light-aligning strategy based on this trend: First, the image is divided into four quadrants with the center of the laser spot as the origin. Then, the area of ​​the region formed by the bright pixels in each quadrant is calculated. By comparing the area of ​​each quadrant, the direction in which the bright pixels are most concentrated can be identified, thereby generating the nozzle's movement trend—driving the nozzle to move towards the quadrant with the largest bright area. This orientation discrimination method based on grayscale distribution statistics effectively overcomes the difficulty of insufficient visibility of the nozzle itself, realizing indirect inference and coarse localization of the nozzle position in low-contrast scenes, laying the foundation for subsequent precise light alignment.

[0054] It should be noted that the core reason for adopting a differentiated light-alignment strategy in this application is that different relative positional states of the laser and the nozzle (such as perfect alignment, partial offset, or complete misalignment) present drastically different visual characteristics in the image. A single algorithm cannot simultaneously ensure recognition reliability, positioning accuracy, and computational efficiency in all scenarios. For example, in the "partial offset" state where the laser has entered the nozzle, the nozzle outline is clearly visible. In this case, a threshold deviation method based on contour extraction and circle fitting can be used to directly calculate the sub-pixel level center deviation, achieving high-precision fine-tuning. In the "complete misalignment" state, the nozzle is hidden in the background and cannot be directly identified, but the distribution of bright pixels in the laser spot has obvious directionality. In this case, it is necessary to switch to a discrete trend analysis method based on quadrant grayscale statistics for fast and robust coarse positioning, guiding the nozzle to move towards the laser spot. This multi-strategy adaptive switching mechanism ensures that the system can handle rapid capture in complex initial states and achieve fine calibration under precision machining requirements, thereby optimizing the efficiency and success rate of the light-alignment process across all operating conditions.

[0055] Step 140: Based on the light-adjusting strategy, generate the motion trend of the jet nozzle and / or the micro-jet laser emitter, wherein the motion trend is used to indicate the deviation direction between the micro-jet laser and the jet nozzle;

[0056] In this embodiment, after determining the beam alignment strategy based on step 130, the motion trend of the jet nozzle and / or micro-jet laser emitter is generated according to the beam alignment strategy. When the beam alignment strategy is to use threshold deviation for beam alignment, the center of the nozzle and the center of the laser are found using the threshold deviation, thereby generating the motion trend of the jet nozzle and / or micro-jet laser emitter (referring to the direction of motion; since the mechanism moves in the x and y directions, the motion trend is to determine whether the movement is x or y, and whether it is a positive or negative direction).

[0057] Optionally, when the alignment strategy is determined to utilize the discrete trend of high-brightness pixels, the system analyzes the spatial distribution characteristics of the high-brightness pixels formed by the laser spot in the image of the light detection, and generates the motion trend of the jet nozzle or laser emitter accordingly. Specifically, the system first identifies the high-brightness areas in the image and extracts the concentration direction and dispersion of their pixel distribution; then, through gray-scale centroid calculation or region centroid analysis, the geometric features of the pixel distribution are transformed into a spatial offset vector. This vector indicates the deviation direction and approximate distance of the current spot center relative to the desired alignment position, and is finally converted into control commands to drive the actuator to move the nozzle or laser in the direction of reducing deviation, gradually achieving preliminary alignment.

[0058] For example, in the illumination strategy based on the discrete trend of high-brightness pixels, this application first performs discrete processing on the acquired illumination detection image. By calculating the area and centroid position of the high-brightness region, a fitting factor (ranging from 0 to 1) characterizing the degree of pixel distribution concentration is obtained. The closer the factor is to 1, the more concentrated the high-brightness region is, and the lower the degree of dispersion. This application uses 0.9 as an empirical threshold (determined through actual testing): if the fitting factor ≥ 0.9, the degree of dispersion is judged to be "up to standard", indicating that the laser has entered the jet nozzle. At this time, the illumination strategy corresponding to the "laser enters the nozzle" state is automatically switched. Under this strategy, the precise center of the nozzle is fitted by image processing, and its positional deviation from the known laser center is calculated. Then, based on this deviation, a fine adjustment motion trend of the nozzle or laser emitter is generated, ultimately achieving high-precision alignment.

[0059] Furthermore, when the dispersion of high-brightness pixels is not up to standard (e.g., the fitting factor is below 0.9), it indicates that the laser has not yet entered the nozzle and the distribution of high-brightness areas is relatively scattered. At this time, the system estimates the orientation of the nozzle by analyzing the spatial distribution characteristics of high-brightness pixels, and then calculates the offset relationship between the estimated position and the current laser center. Based on this, it generates a coarse adjustment movement trend of the nozzle or laser emitter, driving it to move towards the area of ​​concentrated light intensity, and gradually reducing the alignment deviation.

[0060] Optionally, based on the motion trend generated by the light strategy, the deviation direction between the jet nozzle and / or the micro-jet laser emitter and the nozzle can be precisely controlled to ensure that the laser and the jet nozzle are accurately aligned.

[0061] Step 150: According to the said motion trend, control the jet nozzle and / or the micro-jet laser emitter to move, so as to align the micro-jet laser emitter with the jet nozzle.

[0062] In this embodiment, after determining the motion trend of the jet nozzle and / or micro-jet laser emitter based on step 140, the jet nozzle and / or micro-jet laser emitter are moved according to the motion trend to achieve light focusing.

[0063] For example, the motion flow control module of the optical system receives the position deviation value and motion trend signal calculated by the image processing algorithm, converts them into high-precision motor drive commands, and then activates the motor to perform corresponding actions, precisely driving the nozzle to produce displacement; this motion is ultimately reflected in the adjustment of the relative position of the nozzle and the laser in the image until the two are precisely aligned.

[0064] Optionally, based on the motion trend generated by the light strategy, the moving distance and direction of the jet nozzle and / or micro-jet laser emitter (such as a motor-driven moving platform) can be precisely controlled to ensure that the laser and the jet nozzle are accurately aligned.

[0065] In this embodiment, a beam alignment detection image is acquired within the micro-jets laser. Based on the beam alignment detection image, the working state of the micro-jets laser entering the micro-jets laser processing device for processing is determined. Then, based on the different working states where the laser can be processed within the laser micro-jets, different beam alignment strategies between the laser and the jet nozzle are determined. According to the determined beam alignment strategies, the motion trend of the jet nozzle and / or the micro-jets laser emitter is generated. Finally, based on the motion trend, the movement of the jet nozzle and / or the micro-jets laser emitter is controlled. Because this application can determine corresponding beam alignment strategies based on different working states of the laser entering the jet nozzle, the efficiency and accuracy of beam alignment are improved, thereby achieving the technical effect of improving the processing efficiency of the micro-jets laser processing equipment and solving the technical problem of low efficiency in micro-jets laser processing equipment during processing.

[0066] The above steps will now be described in detail.

[0067] Figure 2 This is a second flowchart of a microjets laser focusing method according to an embodiment of this application. Figure 2 As shown, step 120, based on the operating state, determines the laser alignment strategy with the jet nozzle, which may include the following steps:

[0068] Step 210: In response to the working state of the micro-jet laser entering the jet nozzle, determine the light matching strategy as the first light matching strategy, wherein the first light matching strategy is used to indicate the motion trend of the jet nozzle and / or the micro-jet laser emitter by using the center position of the jet nozzle.

[0069] Step 220: In response to the working state where the micro-jets laser does not enter the jet nozzle, the light matching strategy is determined to be the second light matching strategy, wherein the second light matching strategy is used to indicate the motion trend of the jet nozzle and / or the micro-jets laser emitter by using the high-brightness pixel discrete trend.

[0070] In this embodiment, when the working state is that the laser enters the jet nozzle, it means that the laser has entered the jet nozzle. Based on this, the overall brightness of the nozzle increases and is significantly different from the brightness of other areas. Therefore, the light matching strategy can be determined to be the first light matching strategy.

[0071] Optionally, when the working state is that the laser does not enter the jet nozzle, it means that the laser does not enter the jet nozzle at this time. That is, the brightness of the nozzle is very similar to the surrounding environment, making it difficult to identify the specific location of the nozzle. Based on this, processing can be performed according to the obvious discrete trend of bright pixels in the image. That is, the light matching strategy can be determined as the second light matching strategy.

[0072] Optionally, different light-aligning strategies can be selected based on the working state of the laser entering the laser microjets for processing, so that the production process can adapt to various complex situations, such as fluctuations in the laser beam position and minute changes in the nozzle position.

[0073] Figure 3 This is the third flowchart of a microjets laser focusing method according to an embodiment of this application. Figure 3 As shown, in response to the first beam alignment strategy, generating the motion trend of the jet nozzle and / or microjet laser emitter based on the beam alignment strategy may include the following steps:

[0074] Step 310: Determine the center position of the jet nozzle based on the light detection image;

[0075] Step 320: Based on the center position, generate the motion trend of the jet nozzle and / or microjet laser emitter.

[0076] In this embodiment, when the light matching strategy is the first light matching strategy, the light matching detection image is processed to determine the center position of the jet nozzle.

[0077] Optionally, the shape of the nozzle is extracted from the light detection image using a threshold bias, and then the extracted shape is fitted into a circle to determine the center position of the nozzle.

[0078] Optionally, after determining the center position of the nozzle, the center position of the nozzle is compared with the center position of the laser to generate the motion trend of the jet nozzle and / or the micro-jet laser emitter.

[0079] For example, when the difference in the x and y directions between the center of the nozzle and the center of the laser is within 5 pixels, the moving distance can be determined to be 1. That is, the fixed moving distance sent to the motor each time is 1 (since it is difficult for laser microfluidic processing equipment to calculate the actual distance based on the motor input distance, the so-called 1 here means one rotation of the motor).

[0080] Optionally, by analyzing the optical detection image, the contour of the jet nozzle can be accurately identified, and its center position can be calculated. This precise center positioning provides a reliable reference for subsequent movement of the jet nozzle and / or microjet laser emitter.

[0081] Figure 4 This is the fourth flowchart of a microjets laser focusing method according to an embodiment of this application. Figure 4 As shown, in response to the second beam alignment strategy, the motion trend of the jet nozzle and / or microjet laser emitter is generated based on the beam alignment strategy, and may further include the following steps:

[0082] Step 410: In response to the lighting strategy being the second lighting strategy, based on the lighting detection image, determine the high-brightness pixel dispersion trend in the lighting detection image, wherein the high-brightness pixel dispersion trend is used to indicate the pixel changes in the lighting detection image.

[0083] Step 420: Based on the high-brightness pixel discrete trend, generate the motion trend of the jet nozzle and / or micro-jet laser emitter.

[0084] In this embodiment, when the illumination strategy is the second illumination strategy, the dispersion trend of bright pixels in the illumination detection image is determined by the illumination detection image, that is, the dispersion trend of bright pixels in the image. For example, the motion trend recognition module in the illumination system is used to determine the dispersion trend of bright pixels in the image. This is only an example and does not limit the specific method for determining the dispersion trend of bright pixels.

[0085] Optionally, after determining the discrete trend of the high-brightness pixels, the discrete trend of the high-brightness pixels is converted into a motion trend using the motion trend recognition module, that is, the motion trend of the jet nozzle and / or micro-jet laser emitter is generated.

[0086] Optionally, high-brightness pixel discrete information is extracted from the high-brightness pixel discrete trend. That is, the degree of discreteness of the distribution of high-brightness pixels in the light detection image is judged to determine whether the degree of discreteness meets the standard. When the degree of discreteness meets the standard, the relationship between the center of the laser and the high-brightness pixel discrete information is determined, thereby generating the motion trend of the jet nozzle and / or micro-jet laser emitter.

[0087] Optionally, when the degree of dispersion is not up to standard, it is necessary to find the position of the nozzle and generate the motion trend of the jet nozzle and / or micro-jet laser emitter based on the relationship between the nozzle position and the laser.

[0088] Optionally, the discrete information of the high-brightness pixels reflects the intensity distribution and positional changes of the laser beam in the light detection image. By analyzing the discrete information of the high-brightness pixels in real time, the system can dynamically adjust the motion trend of the jet nozzle and / or the micro-jet laser emitter to adapt to fluctuations or changes in the laser beam position.

[0089] In this embodiment, a beam alignment detection image is acquired within the micro-jets laser. Based on the beam alignment detection image, the working state of the micro-jets laser entering the micro-jets laser processing device for processing is determined. Then, based on the different working states where the laser can be processed within the laser micro-jets, different beam alignment strategies between the laser and the jet nozzle are determined. According to the determined beam alignment strategies, the motion trend of the jet nozzle and / or the micro-jets laser emitter is generated. Finally, based on the motion trend, the movement of the jet nozzle and / or the micro-jets laser emitter is controlled. Because this application can determine corresponding beam alignment strategies based on different working states of the laser entering the jet nozzle, the efficiency and accuracy of beam alignment are improved, thereby achieving the technical effect of improving the processing efficiency of the micro-jets laser processing equipment and solving the technical problem of low efficiency in micro-jets laser processing equipment during processing.

[0090] The embodiments of this application will be further described below.

[0091] Figure 5 This is a flowchart of a light-gathering method according to an embodiment of this application, such as... Figure 5 As shown, the light-adjusting method includes the following steps:

[0092] Step 501, preliminary preparation.

[0093] This step first requires configuring algorithm parameters and switching the device to the alignment mode. The laser power is then adjusted according to preset parameters to adapt to different alignment stages. For example, a lower power is used during light-seeking to reduce laser divergence and brightness in the image, while the power is appropriately increased during alignment to enhance feature visibility. Furthermore, the laser power is controlled by software via a communication protocol to control the laser generator. The input value is a set power percentage; for example, for a 200W laser, an input of 50 means adjusting the output power to 100W. Simultaneously, the system also needs to set parameters such as the single displacement distance of the mechanism and the camera exposure time to ensure that the laser spot can be clearly captured in the image and its relative position to the nozzle can be accurately calculated, thus providing a reliable visual and execution foundation for achieving high-precision automatic alignment.

[0094] Step 502: Identify the laser.

[0095] In this step, the automatic laser identification module achieves accurate laser identification and positioning through the following specific steps: First, the system controls the laser to emit laser light at a low power to avoid image overexposure, while simultaneously acquiring the current frame image and converting it to grayscale. Then, adaptive threshold segmentation (such as the Otsu algorithm) or a fixed threshold method is used to extract bright areas from the image. The threshold is dynamically adjusted based on the laser power and camera exposure parameters to effectively separate the laser spot from the background. Next, morphological operations (such as closing operations) are performed on the binary image to fill holes, connect broken areas, and smooth edges, thereby obtaining connected candidate spot regions. A contour search algorithm is used to obtain the contours of all candidate regions, and filtering is performed based on geometric features such as area and roundness to eliminate non-laser regions that are too small or have irregular shapes. Finally, least-squares ellipse or circle fitting is performed on the qualified candidate regions to calculate the sub-pixel-level center coordinates and radius of the spot. If the spot shape is close to circular and the brightness distribution conforms to Gaussian characteristics, it is determined to be a laser spot, and its center position is output as the reference coordinates for subsequent light operations.

[0096] Step 503: Determine whether the laser recognition was successful.

[0097] In this step, the light detection image is first binarized to extract the bright areas in the image. Then, the laser is automatically identified based on two conditions: whether the area of ​​the area exceeds a set threshold and whether it is a unique connected region. If the area threshold requirement is met and there is only one significantly bright area, the laser is identified successfully and step 504 is executed; otherwise, the identification is not successful and step 507 is executed.

[0098] Step 504: Adjust the laser power.

[0099] In this step, the system intelligently adjusts the laser power according to preset alignment parameters. For example, in the initial light-finding stage, the software sends a low power command to the laser generator (e.g., an input value of 25 for a 200W laser, resulting in an output power of 50W) to reduce the brightness and divergence of the laser spot in the image, avoid overexposure, and ensure that the spot outline is clear and extractable. When entering the fine alignment stage, the power command is increased according to the parameter settings (e.g., the input value is increased to 70, resulting in an output power of 140W) to enhance the illumination intensity and contrast of the nozzle area, thereby providing a high-quality image for the threshold- or contour-based alignment algorithm. The entire power adjustment process is automatically decided by the algorithm and sent in real time via the communication interface, ensuring that the vision system always acquires image features suitable for processing at different alignment stages.

[0100] Step 505: Start automatic light alignment.

[0101] In this step, the system officially enters the fully automatic alignment mode. In this mode, based on the real-time acquired alignment detection images, the system automatically determines the relative state between the laser and the nozzle (such as complete misalignment, partial offset, or initial coupling), and intelligently selects and executes a preset alignment strategy accordingly (such as coarse positioning based on the discrete trend of high-brightness pixels or fine alignment based on threshold and contour fitting). At the same time, the system dynamically adjusts the laser power and camera exposure parameters, and generates high-precision motion control commands based on the deviation results calculated by the image algorithm. This drives the actuator to continuously adjust the position of the nozzle or laser until the laser spot and the jet nozzle reach the set alignment accuracy standard. The entire process requires no manual intervention, achieving efficient and continuous adaptive alignment.

[0102] Step 506: Determine whether the laser center and the nozzle center overlap.

[0103] In this step, the system calculates the offsets of the laser center and the nozzle center in the x and y directions of the image pixel coordinate system to determine whether they coincide. If the absolute value of the deviation in both directions is less than 1 pixel, the laser center and the nozzle center are considered to be aligned, and the system executes step 507 (complete alignment); otherwise, it is determined that they do not coincide, and the system returns to step 505 (continue the automatic alignment process). This ensures the accuracy and reliability of the alignment operation through sub-pixel level precision requirements.

[0104] Step 507: Complete the light adjustment.

[0105] In this step, the system confirms that the laser center and the nozzle center are perfectly aligned with pixel-level precision, and then completes the alignment process. At this point, the system automatically saves the final alignment parameters (including laser power, camera exposure, mechanism position, etc.), exits the alignment mode, and switches to the ready state, awaiting subsequent processing instructions. Simultaneously, it can trigger audible and visual prompts or interface status updates to inform the operator that alignment has been successfully completed, thus ensuring closed-loop automation of the entire process and ensuring that the equipment quickly enters the efficient and precise processing stage.

[0106] Figure 6 This is a flowchart illustrating how to determine the motion trend of an optical device according to an embodiment of this application, such as... Figure 6 As shown, determining the movement trend of the optical device includes the following steps:

[0107] Step 601: Process the image and perform grayscale dispersion analysis.

[0108] In this step, the system first preprocesses the acquired image: Gaussian filtering is applied to suppress noise, followed by adaptive binarization to extract highlight regions, and morphological operations are used to further purify and enhance candidate regions. Based on this, to quantify the degree of grayscale dispersion, the system extracts the contours of all highlight regions and calculates their areas according to the following formula. With centroid dispersion :

[0109]

[0110] in, This represents the area of ​​the maximum highlighted outline; This represents the area of ​​all highlighted outlines; The larger the value, the more concentrated the highlighted area.

[0111]

[0112] in, This represents the average Euclidean distance between all pairs of centroids; Indicates the length of the image diagonal (used for normalization); A larger value indicates a more dispersed centroid distribution.

[0113] Furthermore, by analyzing the proportion of the maximum contour area to the total highlighted area and the normalized value of the average distance between all centroids, a comprehensive fitting factor is calculated by fusing the above two indicators according to a weighted formula. This provides a robust and quantifiable assessment of the dispersion of highlighted pixel distribution in the image. Specifically, the weighted formula is as follows:

[0114]

[0115] in, This represents the fitting factor, with a value range of [0,1]. , Denotes the weight coefficients, and satisfies ,For example, , It can be adjusted according to the actual image characteristics; This indicates that the centroid dispersion is converted into a concentration index.

[0116] Step 602: Determine whether the degree of dispersion meets the standard.

[0117] In this step, the fitting factor The closer the value is to 1, the more concentrated the distribution of highlight pixels and the lower the dispersion. Additionally, a threshold can be set. If the "dispersion level meets the standard", that is, the laser has entered the nozzle, then proceed to step 603; otherwise, proceed to step 604.

[0118] Step 603: Obtain the relationship between grayscale distribution and laser center.

[0119] In this step, obtaining the relationship between the grayscale distribution and the laser center means: by mathematically modeling the grayscale distribution of the bright areas (i.e., the laser spot) in the light detection image, calculating the energy center (centroid) of the laser spot, and using this point as the actual center location of the laser. Specifically, the system first preprocesses the image (such as Gaussian filtering for noise reduction and binarization segmentation to extract the bright areas), and then calculates the centroid coordinates of the spot based on a weighted average of grayscale values.

[0120]

[0121] in, Represents pixels grayscale value; This indicates the total number of pixels in the highlighted area.

[0122] The above calculation method reflects the direct relationship between grayscale distribution and the laser center. That is, the higher the grayscale value (i.e., the stronger the laser energy), the greater the contribution of the pixel to the center coordinates. Therefore, the laser center is essentially the weighted geometric center of the laser spot energy distribution. Through this relationship, the system can accurately capture the actual position of the laser spot, thus providing a benchmark for subsequent deviation calculations from the nozzle center.

[0123] Step 604: Determine the relationship between the nozzle and the laser.

[0124] In this step, when the dispersion of bright pixels does not meet the standard (e.g., F < 0.9), it indicates that the laser has not entered the nozzle and the nozzle is invisible due to the lack of laser illumination. At this time, the system indirectly infers the location of the nozzle by analyzing the distribution characteristics of the bright area of ​​the laser spot, thereby calculating the spatial relationship between the nozzle and the laser. Specifically, the system divides the image into multiple quadrants (e.g., four quadrants), counts the total gray value or area of ​​bright pixels in each quadrant, and identifies the quadrant with the largest gray value or area (i.e., the direction where the laser energy is most concentrated). The geometric center direction of this quadrant is determined as the approximate location where the nozzle should exist, and then a direction vector is generated from the current laser center to the center of the quadrant with the largest energy. This vector relationship is essentially based on the spatial probability inference of light intensity distribution, which defines the direction in which the nozzle needs to move (along the opposite direction of the vector) to approach the laser, realizing coarse positioning and alignment trend generation under the condition that the nozzle is invisible.

[0125] Step 605: Output shaft movement distance and direction.

[0126] In this step, the system converts the spatial relationship calculated in the preceding steps (such as the deviation vector between the laser center and the nozzle center, or the energy distribution direction vector of the laser spot) into specific control commands for the optical device actuator (such as a motor-driven platform), namely, the movement distance and direction of the output axis: the movement direction is directly determined by the sign of the components of the deviation vector (e.g., positive / negative X-axis, positive / negative Y-axis), while the movement distance is converted from pixel-level deviation to actual mechanical displacement (e.g., using a pre-calibrated pixel-to-physical displacement conversion coefficient, such as μm / pixel) through a pre-defined pixel-to-physical displacement conversion coefficient (e.g., μm / pixel). , Meanwhile, the system introduces an anti-overshoot mechanism (such as a proportional coefficient or step limiter) to ensure smooth and precise movement. Finally, the command is sent to the motion controller, which drives the motor to move along the specified direction and distance, gradually reducing the deviation between the laser and the nozzle until sub-pixel alignment is achieved.

[0127] Figure 7 This is a schematic diagram of a microfluidic laser alignment system structure according to an embodiment of this application, as shown below. Figure 7 As shown, the micro-jet laser alignment system 700 includes: a laser recognition module 701, a nozzle recognition module 702, a motion trend recognition module 703, and a motion flow control module 704.

[0128] In this embodiment, the laser recognition module 701 uses images acquired after the laser is turned on but before it illuminates the nozzle. By amplifying the difference in grayscale, it detects the specific shape and other characteristics of the laser spot. Based on these characteristics, it analyzes the center and radius of the laser spot, and determines whether the spot conforms to actual standards based on the radius.

[0129] Optionally, the nozzle recognition module 702 is used after the laser enters the nozzle. The principle is that after the laser enters the nozzle, the overall brightness of the nozzle increases, and the brightness of other areas is significantly different. In this way, the shape of the nozzle can be extracted from the image using threshold deviation. Then, the extracted shape is fitted into a circle to find the center of the nozzle.

[0130] Optionally, when the laser has not yet entered the nozzle, the brightness of the nozzle is very similar to the surrounding environment, making it difficult to identify the specific location of the nozzle. However, there is a clear grayscale trend in the image. Based on this, the grayscale trend can be converted into the motion trend of the light device.

[0131] Optionally, the motion flow control module 704 is an algorithm module for controlling the motor motion. Its main function is to convert the deviation value calculated in the image and the motion trend output in the algorithm into motor commands and activate the motor motion, thereby driving the nozzle to move in the image, so that the nozzle moves relative to the laser.

[0132] Figure 8(a) is a schematic diagram of a laser locator according to an embodiment of the present application; Figure 8(b) is a schematic diagram of a nozzle moving according to a trend according to an embodiment of the present application; Figure 8(c) is a schematic diagram of a laser moving according to the center of the nozzle after entering the nozzle according to an embodiment of the present application. As shown in Figures 8(a) to 8(c), the brightness of the laser differs greatly from that of the surrounding environment.

[0133] In this embodiment, this application provides a micro-jets laser alignment algorithm. Using machine vision and image processing techniques, before the laser enters the nozzle, a low laser intensity is first used to reduce the laser's divergence effect in the image. Image processing is then used to locate and record the laser center. Next, the laser brightness is increased to induce a divergence effect. The trend of the nozzle's movement direction is identified based on the distribution trend of the bright areas of the divergence effect, thereby sending motion commands to the motor in the moving mechanism to cause the mechanism to move. The effect displayed in the image is the movement of the nozzle. After the laser enters the nozzle, the reflected light from the nozzle makes the entire nozzle bright. Nozzle detection is performed to detect the center of the nozzle and calculate the positional difference between the nozzle and the laser center. Based on the magnitude and sign of the difference, corresponding motion commands are sent to the motor.

[0134] Optionally, this application effectively solves the problems of slow speed and poor accuracy caused by manual adjustment of the beam alignment in micro-jets. The design of this automatic beam alignment algorithm for micro-jets effectively reduces the complexity of manual operation, thereby saving production time.

[0135] Based on the above embodiments, this application also provides a microfluidic laser focusing device. Figure 9 This is a schematic diagram of the microjets laser focusing device according to an embodiment of this application, as shown below. Figure 9 As shown, the microjets laser focusing device 900 may include an acquisition module 910, a first determination module 920, a second determination module 930, a generation module 940, and a control module 950.

[0136] The acquisition module 910 is used to acquire a light detection image; the first determination module 920 is used to determine, based on the light detection image, the working state of the micro-jets emitted by the micro-jets laser emitter entering the micro-jets laser processing device for processing; the second determination module 930 is used to determine, based on the working state, the light alignment strategy between the micro-jets laser and the jet nozzle; the generation module 940 is used to generate the motion trend of the jet nozzle and / or the micro-jets laser emitter based on the light alignment strategy, wherein the motion trend is used to indicate the deviation direction between the micro-jets laser and the jet nozzle; and the control module 950 is used to control the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend, so as to achieve the alignment of the micro-jets laser emitter and the jet nozzle.

[0137] Therefore, the acquisition module 910 acquires the light detection image, and then the first determination module 920 determines the working state of the micro-jets emitted by the micro-jets laser emitter entering the laser micro-jets for processing based on the light detection image; next, the second determination module 930 determines the light alignment strategy between the micro-jets laser and the jet nozzle based on the working state; then, the generation module 940 generates the motion trend of the jet nozzle and / or the micro-jets laser emitter based on the light alignment strategy, and the motion trend is used to indicate the deviation direction between the micro-jets laser and the jet nozzle; finally, the control module 950 controls the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0138] In some embodiments, the second determining module 930 is specifically configured to: determine a first light-pairing strategy in response to the working state of the micro-jet laser entering the jet nozzle, wherein the first light-pairing strategy is used to indicate the motion trend of the jet nozzle and / or the micro-jet laser emitter by using the center position of the jet nozzle; and determine a second light-pairing strategy in response to the working state of the micro-jet laser not entering the jet nozzle, wherein the second light-pairing strategy is used to indicate the motion trend of the jet nozzle and / or the micro-jet laser emitter by using the discrete information of high-brightness pixels.

[0139] In some embodiments, the second determining module 930 is further specifically used to: in response to the light matching strategy being a first light matching strategy, generate the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the light matching strategy, including: determining the center position of the jet nozzle based on the light matching detection image; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the center position.

[0140] In some implementations, the generation module 940 is specifically used to: determine the center position of the jet nozzle based on the light detection image, including: determining the contour information of the jet nozzle based on the light detection image, wherein the contour information is used to indicate the geometric feature information of the jet nozzle in the light detection image; and fitting the contour information to determine the center position of the jet nozzle.

[0141] In some embodiments, the generation module 940 is further specifically configured to: in response to a second alignment strategy, generate motion trends of the jet nozzle and / or micro-jet laser emitter based on the alignment strategy, including: determining discrete information of high-brightness pixels in the alignment detection image based on the alignment detection image, wherein the discrete information of high-brightness pixels is used to indicate the changes in pixels in the alignment detection image; and generating motion trends of the jet nozzle and / or micro-jet laser emitter based on the discrete information of high-brightness pixels.

[0142] In some embodiments, the generation module 940 is further specifically used to: generate the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete information, including: extracting high-brightness pixel discrete information from the high-brightness pixel discrete information, wherein the high-brightness pixel discrete information is used to indicate the degree of dispersion of the distribution of high-brightness pixels in the light detection image; if the high-brightness pixel discrete information satisfies the discrete preset information, then determining the center information of the micro-jet laser; and generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete information and the center information of the micro-jet laser.

[0143] In some embodiments, the microjets laser focusing device 900 is also specifically used to: if the discrete information of the high-brightness pixels does not meet the discrete preset information, determine the position information of the jet nozzle and the center information of the microjets laser; and based on the position information and the center information, generate the motion trend of the jet nozzle and / or the microjets laser emitter.

[0144] It should be noted that for details not disclosed in the micro-jets laser focusing device of this embodiment, please refer to the details disclosed in the embodiments of the micro-jets laser focusing method in this specification, which will not be repeated here.

[0145] Based on the above embodiments, Figure 10 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 10 As shown, the electronic device may include: a processor 1010, a communications interface 1020, a memory 1030, and a communication bus 1040, wherein the processor 1010, the communications interface 1020, and the memory 1030 communicate with each other through the communication bus 1040. The processor 1010 can call logic instructions in the memory 1030 to execute a micro-jets laser alignment method, which includes: acquiring an alignment detection image; determining, based on the alignment detection image, the working state of the micro-jets laser entering the micro-jets laser processing device for processing, wherein the micro-jets laser is emitted by a micro-jets laser emitter; determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; generating a motion trend for the jet nozzle and / or the micro-jets laser emitter based on the alignment strategy, wherein the motion trend is used to indicate the deviation direction between the micro-jets laser and the jet nozzle; and controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0146] Furthermore, the logical instructions in the aforementioned memory 1030 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0147] Based on the above embodiments, in another aspect, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the micro-jets laser alignment method provided by the above methods. The method includes: acquiring an alignment detection image; determining, based on the alignment detection image, the working state of the micro-jets laser entering the micro-jets laser processing device for processing, wherein the micro-jets laser is emitted by a micro-jets laser emitter; determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; generating a motion trend of the jet nozzle and / or the micro-jets laser emitter based on the alignment strategy, wherein the motion trend is used to indicate the deviation direction between the micro-jets laser and the jet nozzle; and controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0148] Based on the above embodiments, in another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the micro-jets laser alignment method provided by the above methods. The method includes: acquiring an alignment detection image; determining, based on the alignment detection image, the working state of the micro-jets laser entering a micro-jets laser processing device for processing, wherein the micro-jets laser is emitted by a micro-jets laser emitter; determining, based on the working state, an alignment strategy between the micro-jets laser and the jet nozzle; generating a motion trend for the jet nozzle and / or the micro-jets laser emitter based on the alignment strategy, wherein the motion trend indicates the deviation direction between the micro-jets laser and the jet nozzle; and controlling the movement of the jet nozzle and / or the micro-jets laser emitter according to the motion trend to achieve alignment between the micro-jets laser emitter and the jet nozzle.

[0149] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0150] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

Claims

1. A microjets laser focusing method, characterized in that, An application is made in a microjets laser processing apparatus, the apparatus comprising a microjets laser emitter, a jet nozzle, and an image acquisition device, the image acquisition device being used to acquire light detection images within the jet nozzle; the method includes: Acquire the light detection image; Based on the light detection image, the working state of the micro-jets emitted by the micro-jets laser emitter entering the micro-jets laser processing device for processing is determined; Based on the aforementioned operating state, the alignment strategy between the micro-jets laser and the jet nozzle is determined, including: In response to the operating state of the microjets entering the jet nozzle, the light-aligning strategy is determined to be a first light-aligning strategy, wherein the first light-aligning strategy is used to indicate the motion trend of the jet nozzle and / or the microjets emitter generated using the center position of the jet nozzle; generating the motion trend of the jet nozzle and / or the microjets emitter based on the first light-aligning strategy includes: Based on the light detection image, the center position of the jet nozzle is determined; Based on the center position, the motion trend of the jet nozzle and / or the microjet laser emitter is generated; In response to the operating state where the microjets laser does not enter the jet nozzle, the light-pairing strategy is determined to be a second light-pairing strategy, wherein the second light-pairing strategy is used to indicate the motion trend of producing the jet nozzle and / or the microjets laser emitter using the high-brightness pixel discrete trend; generating the motion trend of the jet nozzle and / or the microjets laser emitter based on the second light-pairing strategy includes: Based on the light detection image, the dispersion trend of bright pixels in the light detection image is determined, wherein the dispersion trend of bright pixels is used to indicate the pixel changes in the light detection image. Based on the high-brightness pixel discrete trend, the motion trend of the jet nozzle and / or the micro-jet laser emitter is generated; Based on the aforementioned light-targeting strategy, the motion trend of the jet nozzle and / or the micro-jet laser emitter is generated, wherein the motion trend is used to indicate the deviation direction between the micro-jet laser and the jet nozzle; According to the stated motion trend, the jet nozzle and / or the micro-jet laser emitter are controlled to move, so as to align the micro-jet laser emitter with the jet nozzle.

2. The microfluidic laser light-on-light method of claim 1, wherein, Determining the center position of the jet nozzle based on the light detection image includes: Based on the light detection image, the contour information of the jet nozzle is determined, wherein the contour information is used to indicate the geometric feature information of the jet nozzle in the light detection image; The contour information is fitted to determine the center position of the jet nozzle.

3. The microfluidic laser light-on-light method of claim 1, wherein, The process of generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete trend includes: High-brightness pixel discrete information is extracted from the high-brightness pixel discrete trend, wherein the high-brightness pixel discrete information is used to indicate the degree of dispersion of the distribution of high-brightness pixels in the light detection image; If the discrete information of the high-brightness pixel satisfies the discrete preset information, then the center information of the micro-jet laser is determined; Based on the discrete information of high-brightness pixels and the center information of the micro-jet laser, the motion trend of the jet nozzle and / or the micro-jet laser emitter is generated.

4. The microfluidic laser light-on-light method of claim 3, wherein, The step of generating the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the high-brightness pixel discrete trend further includes: If the discrete information of the high-brightness pixel does not meet the discrete preset information, then the position information of the jet nozzle and the center information of the micro-jet laser are determined; Based on the position and center information of the jet nozzle, the motion trend of the jet nozzle and / or the microjet laser emitter is generated.

5. An apparatus for implementing the microfluidic laser-on-laser method according to any one of claims 1 to 4, characterized in that, The device includes: The acquisition module is used to acquire light detection images; The first determining module is used to determine, based on the light detection image, the working state of the micro-jets emitted by the micro-jets laser emitter entering the micro-jets laser processing device for processing; The second determining module is used to determine the light alignment strategy between the micro-jet laser and the jet nozzle based on the working state. A generation module is used to generate the motion trend of the jet nozzle and / or the micro-jet laser emitter based on the light-adjusting strategy, wherein the motion trend is used to indicate the deviation direction between the micro-jet laser and the jet nozzle; A control module is used to control the movement of the jet nozzle and / or the micro-jet laser emitter according to the motion trend, so as to align the micro-jet laser emitter with the jet nozzle.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, When the program is executed by the processor, it implements the microjets laser beam alignment method as described in any one of claims 1 to 4. 7.An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, characterized in that, When the processor executes the computer program, it implements the microjets laser beam alignment method as described in any one of claims 1 to 4.

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