Laser cutting device for paper product processing based on artificial intelligence

Abstract

The invention relates to the technical field of laser cutting equipment, in particular to an artificial intelligence-based laser cutting device for paper product processing, which comprises a supporting assembly, a fixing assembly, a laser cutting assembly, a laser cutting assembly, a laser cutting assembly, a laser cutting assembly, a laser cutting assembly, a laser cutting assembly and a laser cutting assembly, and is characterized in that the supporting assembly comprises a supporting plate for supporting a laser cutting head and a transverse supporting rod for mounting the laser cutting head; the fixing assembly comprises a transverse fixing rod and a vertical fixing rod which are used for fixing to-be-processed paper products of various sizes, the first moving assembly comprises a first sliding rail and a second sliding rail which are used for enabling the fixing assembly to move, and the second moving assembly comprises a transverse sliding rail and a vertical sliding rail which are used for enabling the laser cutting machine to move. And the monitoring assembly comprises an industrial camera and a laser which are used for acquiring a processing image, and a processing execution unit connected with the monitoring assembly. The problem that the cutting rejection rate is high due to the fact that adjustment cannot be conducted according to the actual cutting condition in the cutting process is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of laser cutting equipment, and particularly to a laser cutting device for paper product processing based on artificial intelligence. Background Art

[0002] In modern industrial production, paper product processing is an indispensable part. Due to its advantages such as high efficiency and precision, laser cutting technology has been widely used in the field of paper product processing. Although traditional laser cutting devices for paper product processing can meet production requirements to a certain extent, there are still many problems and limitations in actual use. The cutting accuracy of traditional laser cutting devices is affected by various factors, such as the thickness, material, and shape of paper products. For paper products of different thicknesses, existing cutting devices often have difficulty automatically adapting to the best cutting parameters, resulting in poor cutting effects, and problems such as incomplete cutting, too wide or too narrow cutting seams are likely to occur, affecting product quality.

[0003] Chinese Patent Publication No.: CN118744285A discloses a laser cutting device for paper product processing production, belonging to the technical field of laser cutting equipment, including a cutting table and a laser cutting head. The clamping member includes a clamping ball. A feeding member is slidably connected between the front and rear end faces of the cutting frame plate. The upper end of the feeding plate can slidably abut against the clamping ball. A pushing member is slidably connected to the table surface of the cutting table. The pushing member includes a pushing plate. The top of the pushing plate is fixedly connected to the feeding member through a connecting rod. A dialing member is rotatably connected to the collection port. The dialing member includes a dialing rod. The feeding member can drive the dialing rod to rotate.

[0004] Thus, the following problems exist in the laser cutting device for paper product processing production: 1. During the cutting process, it cannot be adjusted according to the actual cutting situation, resulting in a relatively high cutting scrap rate.

[0005] 2. The laser cutting head can only move in one direction during the cutting process, with relatively low degrees of freedom. The cutting table for placing the paper product to be processed cannot be tightened and fixed according to the continuously changing size of the paper product, resulting in a problem of low cutting accuracy. Summary of the Invention

[0006] Therefore, the present invention provides a laser cutting device for paper product processing based on artificial intelligence to overcome the problem in the prior art that during the cutting process, it cannot be adjusted according to the actual cutting situation, resulting in a relatively high cutting scrap rate.

[0007] To achieve the above object, the present invention provides a laser cutting device for paper product processing based on artificial intelligence, including a cutting table and a laser cutting head, characterized in that it further includes: Above the cutting table, there is a support assembly fixedly connected to the surface of the cutting table for supporting the laser cutting head. At the bottom of the cutting table, there are several moving wheels fixedly connected to the bottom of the cutting table for moving the cutting table. Above the cutting table, there is also a fixing assembly fixedly connected to the upper surface of the cutting table for fixing the paper product to be processed. Below the fixing assembly, there is a first moving assembly for moving the fixing assembly; The laser cutting head is installed above the support assembly for cutting and processing the paper product placed on the fixing assembly. Above the laser cutting head, there is a second moving assembly for moving the laser cutting head; A monitoring assembly, which includes an industrial camera arranged on one side of the laser cutting head for scanning the contour image of the pre-processing part of the paper product before processing on the cutting table and the contour image of the cut seam part of the paper product after processing, and a laser arranged on the other side of the laser cutting head for emitting a specific beam to measure the thickness of the paper product to be processed; A processing and execution unit, which is connected to the monitoring assembly and includes: A data acquisition module for obtaining the contour image of the pre-processing part of the paper product before processing on the cutting table, the contour image of the cut seam part of the paper product after processing, and the specific beam reflected by the surface of the laser emitted by the laser; A storage module for storing the contour image of the pre-processing part of the paper product before processing on the cutting table by the industrial camera; A data analysis module for determining the corresponding processing method according to the comparison result between the thickness of the paper product to be processed and the preset thickness; A data comparison module for determining whether the corresponding processing method is qualified according to the comparison result between the contour image of the pre-processing part of the paper product before processing and the contour image of the cut seam part of the paper product after processing; A strategy regulation module for determining the regulation strategy for the corresponding processing method according to the difference between the contour image of the cut seam part of the paper product after processing and the standard contour image under the condition that the data comparison module determines that the corresponding processing method is unqualified.

[0008] Further, the data analysis module determines the corresponding processing method according to the comparison result between the thickness of the paper product to be processed and the preset thickness, where, If the thickness of the paper product to be processed is less than or equal to the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the first processing method; If the thickness of the paper product to be processed is greater than the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the second processing method.

[0009] Further, the first processing method is moving cutting with a laser cutting head, and the second processing method is collaborative moving cutting with a laser cutting head and a fixing component.

[0010] Further, in the first processing method, the data comparison module determines whether the first processing method is qualified by comparing the coincidence degree between the contour image of the pre-processed part of the paper product before processing and the contour image of the cut seam part of the paper product after processing with a preset coincidence degree. Among them, If the coincidence degree is less than the preset coincidence degree, it is determined that the first processing method is unqualified.

[0011] Further, under the condition that the strategy regulation module determines that the first processing method is unqualified, it determines the regulation strategy for the first processing method according to the comparison result between the difference between the contour image of the cut seam part of the paper product after processing and the standard contour image and a preset difference. Among them, If the difference is less than or equal to the preset difference, it is determined that the regulation strategy for the first processing method is the first regulation strategy; If the difference is greater than the preset difference, it is determined that the regulation strategy for the first processing method is the second regulation strategy.

[0012] Further, the first regulation strategy is to increase the electric power of the laser cutting head in the original processing method, and the second regulation strategy is to increase the electric power of the laser cutting head in the original processing method and at the same time increase the moving speed of the laser cutting head on the horizontal slide rail and the vertical slide rail.

[0013] Further, in the second processing method, the data comparison module determines whether the second processing method is qualified by comparing the coincidence degree between the contour image of the pre-processed part of the paper product before processing and the contour image of the cut seam part of the paper product after processing with a preset coincidence degree. Among them, If the coincidence degree is less than the preset coincidence degree, it is determined that the second processing method is unqualified; If the coincidence degree is greater than or equal to the preset coincidence degree, it is determined that the second processing method is qualified.

[0014] Further, under the condition that the strategy regulation module determines that the second processing method is unqualified, it determines the regulation strategy for the second processing method according to the comparison result between the difference between the contour image of the cut seam part of the paper product after processing and the standard contour image and a preset difference. Among them, If the difference is less than or equal to the preset difference, it is determined that the regulation strategy for the second processing method is the third regulation strategy; If the difference is greater than the preset difference, it is determined that the regulation strategy for the second processing method is the fourth regulation strategy.

[0015] Further, the third control strategy is to increase the electric power of the laser cutting head in the original processing mode, and the fourth control strategy is to increase the electric power of the laser cutting head in the original processing mode while increasing the moving speed of the fixing component for fixing the paper product to be processed on the first slide rail and the second slide rail.

[0016] Further, the support component includes a support plate arranged on the upper surface of the cutting table for supporting the laser cutting head and a horizontal support rod arranged horizontally between the support plates for installing the laser cutting head. The fixing component includes a horizontal fixing rod and a vertical fixing rod arranged on the surface of the cutting table for fixing paper products to be processed of various sizes. The first moving component includes a first slide rail and a second slide rail arranged at the bottom of the fixing component for moving the fixing component. The second moving component includes a horizontal slide rail and a vertical slide rail arranged above the laser cutting head for moving the laser cutting machine.

[0017] Compared with the prior art, the beneficial effect of the present invention is that by obtaining the contour image and thickness information of the paper product through the industrial camera and the laser, and after being processed by the data acquisition module and the analysis module, the size and shape of the paper product can be accurately determined, realizing the intelligent recognition and precise positioning of the paper product, providing an accurate basis for subsequent cutting processing, and effectively improving the cutting accuracy and quality.

[0018] Further, according to the comparison result between the thickness of the paper product and the preset thickness, the corresponding processing mode is automatically determined. When the thickness of the paper product is less than or equal to the preset thickness, the first processing mode of single laser cutting head moving cutting is adopted, which is suitable for the efficient and rapid cutting of thinner paper products. When the thickness of the paper product is greater than the preset thickness, the second processing mode of the laser cutting head and the fixing component moving in cooperation for cutting is adopted, which can better meet the cutting requirements of thicker paper products and improve the cutting efficiency and quality.

[0019] Further, through the cooperative operation mode of the data comparison module and the strategy control module, the data comparison module and the strategy control module can quickly compare and analyze the contour images before and after processing, and timely determine whether the processing mode is qualified and the corresponding control strategy according to the comparison result, and adjust the cutting parameters and processing mode in real time to ensure the stability of the cutting process and high-quality output, improving the production efficiency and product quality.

[0020] Further, through the design of the fixing component, it can adapt to paper products to be processed of various sizes. Through the sliding connection of the horizontal fixing plate and the vertical fixing rod, and the cooperation of the first moving component and the second moving component, the flexible movement and cooperative operation of the fixing component and the laser cutting head in multiple directions are realized, improving the flexibility and adaptability of the device, and being able to better meet the processing requirements of paper products of different shapes and sizes.

[0021] Furthermore, according to different situations under different processing methods, a variety of regulation strategies are formulated. For example, under the first processing method, the first regulation strategy and the second regulation strategy are respectively adopted according to the size of the difference value; under the second processing method, the third regulation strategy and the fourth regulation strategy are respectively adopted according to the size of the difference value, which can precisely adjust for different processing problems, further optimize the cutting effect, and improve the intelligence level and processing quality of the device.

[0022] Furthermore, a number of moving wheels are arranged at the bottom of the cutting table, making the entire cutting device have good mobility and convenience, facilitating users to process paper products at different positions according to production needs, improving the utilization rate and flexibility of the equipment, and adapting to the changes in different production scenarios and processing requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic structural diagram of a laser cutting device for paper product processing based on artificial intelligence according to an embodiment of the present invention; Figure 2 is a schematic structural diagram of a first moving component of a laser cutting device for paper product processing based on artificial intelligence according to an embodiment of the present invention: Figure 3 is a schematic structural diagram of a second moving component of a laser cutting device for paper product processing based on artificial intelligence according to an embodiment of the present invention: Figure 4 is a connection block diagram of a processing execution unit in a laser cutting device for paper product processing based on artificial intelligence according to an embodiment of the present invention; In the figure, 1 - cutting table; 2 - laser cutting head; 3 - a number of moving wheels; 4 - fixing component; 5 - support plate; 6 - horizontal support rod; 7 - horizontal fixing rod; 8 - vertical fixing rod; 9 - first slide rail; 10 - second slide rail; 11 - horizontal slide rail; 12 - vertical slide rail; 13 - industrial camera; 14 - laser. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] In order to make the purpose and advantages of the present invention more clear and understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0025] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0026] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0027] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installed", "connected", "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] Please refer to Figures 1 to 3 as shown in Figure 1 the structural schematic diagram of the laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention; Figure 2 the structural schematic diagram of the first moving component of the laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention: Figure 3 the structural schematic diagram of the first moving component of the laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention.

[0029] The laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention includes a cutting table 1 and a laser cutting head 2: Above the cutting table 1, there is a support component fixedly connected to the surface of the cutting table for supporting the laser cutting head 2. At the bottom of the cutting table 1, there are a number of moving wheels 3 fixedly connected to the bottom of the cutting table for moving the cutting table. Above the cutting table 1, there is also a fixing component 4 fixedly connected to the upper surface of the cutting table 1 for fixing the paper product to be processed. Below the fixing component 4, there is a first moving component for moving the fixing component.

[0030] Specifically, the support component includes support plates 5 fixedly connected to the upper surface of the cutting table 1 on both side portions of the upper surface of the cutting table 1. At the upper end of the support plate 5, there is a transverse support rod 6 transversely fixedly connected to the support plate for supporting and installing the laser cutting head 2 above the support component.

[0031] Specifically, the fixing component 4 includes a horizontal fixing plate 7 horizontally arranged on the upper surface of the cutting table 1 and a vertical fixing rod 8 vertically arranged on the upper surface of the cutting table 1. The horizontal fixing rod 7 is slidably connected to the vertical fixing rod 8 for fixing paper products to be processed of various sizes.

[0032] Specifically, the first moving component includes a first slide rail 9 horizontally arranged at the bottom of the fixing component for horizontally moving the fixing component and a second slide rail 10 vertically arranged at the bottom of the fixing component for moving the fixing component forward and backward. The first slide rail 9 is arranged above the second slide rail 10, and the second slide rail 10 moves along with the first slide rail.

[0033] The laser cutting head 2 is installed above the supporting component for cutting and processing the paper product placed on the fixing component 4. Above the laser cutting head 2, there is a second moving component for moving the laser cutting head.

[0034] Specifically, the second moving component includes a horizontal slide rail 11 horizontally arranged at the upper part of the laser cutting head and slidably connected to the horizontal support rod 6 for horizontally moving the laser cutting head 2, and a vertical slide rail 12 vertically arranged at the upper part of the laser cutting head and slidably connected to the horizontal support rod 6 for moving the laser cutting head 2 forward and backward. The horizontal slide rail 11 is arranged above the vertical slide rail 12, and the vertical slide rail 12 moves along with the horizontal slide rail 11.

[0035] The monitoring component includes an industrial camera 13 arranged on one side of the laser cutting head 2 for scanning the contour image of the pre - processing part of the paper product on the cutting table 1 before processing and the contour image of the cut seam part of the processed paper product, and a laser 14 arranged on the other side of the laser cutting head for emitting a specific beam to measure the thickness of the paper product to be processed.

[0036] Please refer to Figure 4 as shown in Figure 4 the connection block diagram of the processing and execution unit in the laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention.

[0037] A processing execution unit, which is connected to the monitoring component, includes a data acquisition module for obtaining the contour image of the pre-processed part of the paper product on the cutting table before processing, the contour image of the cut part of the processed paper product, and the data of the thickness of the paper product to be processed. A storage module is connected to the data acquisition module for storing the contour image of the pre-processed part of the paper product on the cutting table captured by the industrial camera. A data comparison module is respectively connected to the data acquisition module and the storage module for comparing the contour image of the pre-processed part of the paper product before processing with the contour image of the cut part of the processed paper product. A strategy control module is respectively connected to the data comparison module, the cutting table and the laser cutting head for collaborative operation.

[0038] In the laser cutting device for paper product processing based on artificial intelligence according to the embodiment of the present invention, after the laser cutting device starts to work, the data acquisition module first acquires the contour image of the pre-processed part of the paper product before processing captured by the industrial camera and then transmits it to the storage unit for storage. Then, it acquires the specific light beam emitted by the laser reflected from the surface of the paper product to be processed. The data analysis module analyzes the specific light beam emitted by the laser reflected to obtain the thickness of the paper product to be processed. According to the comparison result of the thickness of the paper product with the preset thickness, the corresponding processing method of the laser cutting device is determined. Among them, If the thickness of the paper product to be processed is less than or equal to the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the first processing method; If the thickness of the paper product to be processed is greater than the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the second processing method.

[0039] Among them, the value range of the preset thickness is 10-20 mm. The preferred value of the present invention is 15 mm. The value range and the preferred value range of the preset thickness can be determined according to the actual situation and are not specifically limited here.

[0040] Among them, the thickness of the paper product to be processed is obtained by adjusting the position of the laser on one side of the laser cutting head, then emitting a specific light beam to the surface of the paper product to be processed fixed above the cutting table. The industrial camera captures the reflected light on the surface of the paper product to be processed. According to the position information of the captured light, the relevant formula of triangulation is used for calculation to obtain the thickness of the paper product.

[0041] In an embodiment of the present invention, the preset thickness is set to 15 mm. During implementation, the processing method corresponding to the laser cutting device is determined according to the comparison result between the thickness of the paper product and the preset thickness. For example, when the thickness of the paper product to be processed is 13 mm, it meets the condition that the thickness of the paper product to be processed is less than the preset thickness. At this time, the processing method of the laser cutting device is determined to be the first processing method. For example, when the thickness of the paper product to be processed is 17 mm, it meets the condition that the thickness of the paper product to be processed is greater than the preset thickness. At this time, the processing method of the laser cutting device is determined to be the second processing method.

[0042] Among them, the first processing method is a single laser cutting head moving cutting processing method, and the second processing method is a cooperative moving cutting method in which the fixed component also moves while the laser cutting head moves.

[0043] Specifically, under the condition of the first processing method, the data comparison module compares the coincidence degree between the contour image of the pre-processing part of the paper product before processing and the contour image of the cut seam part of the paper product after processing with the preset coincidence degree to determine whether the first processing method is qualified. Among them, if the coincidence degree is less than the preset coincidence degree, it is determined that the first processing method is unqualified; if the coincidence degree is greater than or equal to the preset coincidence degree, it is determined that the first processing method is qualified.

[0044] Among them, the value range of the preset coincidence degree is 0.85 - 0.95. The preferred value of the present invention is 0.90. The value range and the preferred value range of the preset coincidence degree can be determined according to the actual situation and are not specifically limited here.

[0045] Among them, the coincidence degree is obtained by performing gray processing on the contour image of the pre-processing part of the paper product before processing and the contour image of the cut seam part of the paper product after processing captured by the industrial camera, using the median filtering method to remove the noise in the image, adopting the Canny edge detection algorithm to extract the contour information of the pre-processing part of the paper product before processing and the contour information of the cut seam part of the paper product after processing, obtaining a clear contour image, extracting the key features of the contour image, such as the shape and size of the contour, using the SIFT algorithm to perform feature matching on the contour images before and after processing, finding the corresponding feature points or feature regions, and performing matching according to the descriptors of the feature points to find the corresponding points in the contour images before and after processing. According to the matching result, the geometric transformation parameters of the contour image after processing relative to the contour image before processing are calculated using the least squares method. According to the geometric transformation parameters, the contour image after processing is subjected to corresponding geometric transformation to align it with the contour image before processing. The aligned contour image after processing is compared with the contour image before processing pixel by pixel, and the ratio of the number of overlapping pixels to the total number of pixels is counted as the measure of the coincidence degree.

[0046] In an embodiment of the present invention, the preset overlap degree is 0.9. During implementation, the coincidence degree between the contour image of the pre - processing part of the paper product before processing and the contour image of the slit part of the processed paper product is compared with the preset overlap degree to determine whether the first processing method is qualified. For example, when the overlap degree is 0.8, since the overlap degree is less than the preset overlap degree, it indicates that the coincidence degree between the contour image of the processed paper product and the contour image of the pre - processing part of the paper product before processing is not high. At this time, it is determined that the first processing method is unqualified. For example, when the overlap degree is 0.95, since the overlap degree is greater than the preset overlap degree, it indicates that the coincidence degree between the contour image of the processed paper product and the contour image of the pre - processing part of the paper product before processing is high. At this time, it is determined that the first processing method is qualified.

[0047] Specifically, under the condition that it is determined that the first processing method is unqualified, the strategy control module determines the regulation strategy for the first processing method according to the comparison result between the difference between the contour image of the slit part of the processed paper product and the standard contour image and the preset difference. Among them, if the difference is less than or equal to the preset difference, it is determined that the regulation strategy for the first processing method is the first regulation strategy; if the difference is greater than the preset difference, it is determined that the regulation strategy for the first processing method is the second regulation strategy.

[0048] Among them, the value range of the preset difference is 0.5 - 1 mm. In the present invention, 0.8 mm is preferably used. The value range and the preferred value range of the preset difference can be determined according to the actual situation and are not specifically limited here.

[0049] Among them, the difference is obtained by performing gray - scale processing on the contour image of the slit part of the processed paper product and the standard contour image captured by the industrial camera, using the median filtering method to remove the noise in the image, adopting the Canny edge detection algorithm to extract the contour information of the pre - processing part of the paper product before processing and the contour information of the slit part of the processed paper product to obtain a clear contour image, extracting the key features of the contour image, such as the shape and size of the contour, using the SIFT algorithm to perform feature matching on the contour images before and after processing, finding the corresponding feature points or feature regions, and performing matching according to the descriptors of the feature points to find the corresponding points in the contour images before and after processing. According to the matching result, the geometric transformation parameters of the processed contour image relative to the pre - processed contour image are calculated using the least - squares method. According to the geometric transformation parameters, the processed contour image is subjected to the corresponding geometric transformation to align it with the standard contour image, and the differences of all pixel points are statistically calculated and the average value is calculated to obtain the difference.

[0050] In an embodiment of the present invention, the preset difference is set to 0.8. During implementation, the control strategy for the first processing method is determined based on the comparison result between the difference between the contour image of the slit part of the processed paper product and the standard contour image and the preset difference. For example, when the difference is 0.5 mm, which meets the condition that the difference is less than the preset difference, it indicates that the difference between the contour image of the slit part of the processed paper product and the standard contour image is small. At this time, the control strategy for the first processing method is determined as the first control strategy. For example, when the difference is 1 mm, which meets the condition that the difference is greater than the preset difference, it indicates that the difference between the contour image of the slit part of the processed paper product and the standard contour image is large. At this time, the control strategy for the first processing method is determined as the second control strategy.

[0051] Among them, the first control strategy under the first processing method is to increase the electric power of the laser cutting head in the original processing method, and the increase range is 1.2 - 1.6 times the original working power. Preferably, the present invention increases it by 1.4 times.

[0052] Among them, the second control strategy under the first processing method is to increase the electric power of the laser cutting head in the original processing method, and the increase range is 1.5 - 2 times the original working power. Preferably, the present invention increases it by 1.8 times. At the same time, increase the moving speed of the laser cutting head on the horizontal slide rail and the vertical slide rail, and the increase range is 1.2 - 1.6 times the original working speed. Preferably, the present invention increases it by 1.3 times, so that the laser cutting head can move faster on the slide rail, enabling the laser to better cut the processed paper product and further reducing the difference between the contour image of the slit part after processing and the standard contour image.

[0053] Specifically, under the conditions of the second processing method, the data comparison module determines whether the second processing method is qualified by comparing the coincidence degree between the contour image of the pre - processed part of the paper product before processing and the contour image of the slit part of the processed paper product with the preset coincidence degree. Among them, if the coincidence degree is less than the preset coincidence degree, it is determined that the second processing method is unqualified; if the coincidence degree is greater than or equal to the preset coincidence degree, it is determined that the second processing method is qualified.

[0054] Among them, the value range of the preset coincidence degree is 0.85 - 0.95. Preferably, the present invention takes the value of 0.90. The value range of the preset coincidence degree and the preferred value range can be determined according to the actual situation and are not specifically limited here.

[0055] Among them, the degree of coincidence is obtained by performing gray-scale processing on the contour images of the pre-processing part of the paper product before processing and the slit part of the paper product after processing captured by the industrial camera, using the median filtering method to remove the noise in the images, adopting the Canny edge detection algorithm to extract the contour information of the pre-processing part of the paper product before processing and the contour information of the slit part of the paper product after processing, obtaining clear contour images, extracting the key features of the contour images, such as the shape and size of the contour, using the SIFT algorithm to perform feature matching on the contour images before and after processing, finding the corresponding feature points or feature regions, and performing matching according to the descriptors of the feature points to find the corresponding points in the contour images before and after processing. According to the matching results, the geometric transformation parameters of the contour image after processing relative to the contour image before processing are calculated using the least squares method. According to the geometric transformation parameters, the contour image after processing is subjected to corresponding geometric transformation to align it with the contour image before processing. The aligned contour image after processing is compared with the contour image before processing pixel by pixel, and the ratio of the number of overlapping pixels to the total number of pixels is counted as the measure of the degree of coincidence.

[0056] In the embodiment of the present invention, the preset value of the degree of coincidence is 0.9. During implementation, it is determined whether the second processing method is qualified by comparing the degree of coincidence between the contour image of the pre-processing part of the paper product before processing and the contour image of the slit part of the paper product after processing with the preset degree of coincidence. For example, when the degree of coincidence is 0.8, since the degree of coincidence is less than the preset degree of coincidence, it indicates that the degree of coincidence between the contour image of the paper product after processing and the contour image of the pre-processing part of the paper product before processing is not high. At this time, it is determined that the second processing method is unqualified. For example, when the degree of coincidence is 0.95, since the degree of coincidence is greater than the preset degree of coincidence, it indicates that the degree of coincidence between the contour image of the paper product after processing and the contour image of the pre-processing part of the paper product before processing is high. At this time, it is determined that the second processing method is qualified.

[0057] Specifically, under the condition that it is determined that the second processing method is unqualified, the strategy adjustment module determines the adjustment strategy for the second processing method according to the comparison result between the difference between the contour image of the slit part of the paper product after processing and the standard contour image and the preset difference. Among them, if the difference is less than or equal to the preset difference, it is determined that the adjustment strategy for the second processing method is the third adjustment strategy; if the difference is greater than the preset difference, it is determined that the adjustment strategy for the second processing method is the fourth adjustment strategy.

[0058] Among them, the value range of the preset difference is 0.5 - 1 mm. The present invention preferably takes 0.8 mm. The value range of the preset difference and the preferred value range can be determined according to the actual situation and are not specifically limited here.

[0059] Among them, the difference value is obtained by performing gray-scale processing on the contour images of the slit parts of the processed paper products captured by the industrial camera and the standard contour image, using the median filtering method to remove the noise in the image, adopting the Canny edge detection algorithm to extract the contour information of the pre-processing parts of the paper products before processing and the contour information of the slit parts of the processed paper products, obtaining clear contour images, extracting the key features of the contour images, such as the shape and size of the contour, using the SIFT algorithm to perform feature matching on the contour images before and after processing, finding the corresponding feature points or feature regions, and performing matching according to the descriptors of the feature points to find the corresponding points in the contour images before and after processing. According to the matching results, the geometric transformation parameters of the contour image after processing relative to the contour image before processing are calculated using the least squares method. According to the geometric transformation parameters, the contour image after processing is subjected to corresponding geometric transformation to align it with the standard contour image, and the differences of all pixel points are statistically calculated and the average value is calculated to obtain the difference value.

[0060] In the embodiment of the present invention, the preset difference value is 0.8. During implementation, the regulation strategy for the second processing method is determined according to the comparison result between the difference value between the contour image of the slit part of the processed paper product and the standard contour image and the preset difference value. For example, when the difference value is 0.5 mm, which meets the condition that the difference value is less than the preset difference value, it indicates that the difference between the contour image of the slit part of the processed paper product and the standard contour image is small. At this time, the regulation strategy for the second processing method is determined as the third regulation strategy. For example, when the difference value is 1 mm, which meets the condition that the difference value is greater than the preset difference value, it indicates that the difference between the contour image of the slit part of the processed paper product and the standard contour image is large. At this time, the regulation strategy for the second processing method is determined as the fourth regulation strategy.

[0061] Among them, the third regulation strategy under the second processing method is to increase the power increase range of the laser cutting head in the original processing method by 1.2 to 1.6 times. The present invention preferably increases it by 1.3 times, increases the energy of the high-energy laser beam emitted by the laser cutting head, thereby increasing the slit of the irradiated area of the paper product and reducing the difference from the standard contour image.

[0062] Among them, the fourth regulation strategy under the second processing method is to increase the power increase range of the laser cutting head under the original processing method by 1.0 to 1.4 times. Preferably, the present invention increases it by 1.1 times to increase the energy of the high-energy laser beam emitted by the laser cutting head. At the same time, increase the moving speed of the fixing component for fixing the paper product to be processed on the first slide rail and the second slide rail. The increase range is 1.0 to 1.5 times. Preferably, the present invention increases the value to 1.4 times, so that the paper product to be processed moves together with the fixing component, which can better cooperate with the high-energy laser beam emitted by the laser cutting head to cut along the contour of the pre-processing part of the paper product to be processed, reduce the difference between the cut seam contour image after processing and the standard image, and improve the cutting accuracy.

[0063] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A laser cutting device for paper product processing based on artificial intelligence, comprising a cutting table and a laser cutting head, characterized in that, It further includes: Above the cutting table, there is a support assembly fixedly connected to the surface of the cutting table for supporting the laser cutting head. At the bottom of the cutting table, there are several moving wheels fixedly connected to the bottom of the cutting table for moving the cutting table. Above the cutting table, there is also a fixing assembly fixedly connected to the upper surface of the cutting table for fixing the paper products to be processed. Below the fixing assembly, there is a first moving assembly for moving the fixing assembly; The laser cutting head is installed above the support assembly for cutting and processing the paper products placed on the fixing assembly. Above the laser cutting head, there is a second moving assembly for moving the laser cutting head; A monitoring assembly, which includes an industrial camera arranged on one side of the laser cutting head for scanning the contour images of the pre-processing part of the paper products before processing on the cutting table and the contour images of the cut seam parts of the paper products after processing, and a laser for emitting a specific beam for measuring the thickness of the paper products to be processed arranged on the other side of the laser cutting head; A processing and execution unit, which is connected to the monitoring assembly and includes: A data acquisition module for obtaining the contour images of the pre-processing part of the paper products before processing on the cutting table, the contour images of the cut seam parts of the paper products after processing, and the specific beam reflected by the surface of the laser emitted by the laser; A storage module for storing the contour images of the pre-processing part of the paper products before processing on the cutting table by the industrial camera; A data analysis module for determining the corresponding processing method according to the comparison result between the thickness of the paper products to be processed and the preset thickness; A data comparison module for determining whether the corresponding processing method is qualified according to the comparison result between the contour image of the pre-processing part of the paper products before processing and the contour image of the cut seam part of the paper products after processing; A strategy regulation module for determining the regulation strategy for the corresponding processing method according to the difference between the contour image of the cut seam part of the paper products after processing and the standard contour image under the condition that the data comparison module determines that the corresponding processing method is unqualified.

2. The laser cutting device for paper product processing based on artificial intelligence according to claim 1, wherein The data analysis module determines the corresponding processing method according to the comparison result between the thickness of the paper products to be processed and the preset thickness, where if the thickness of the paper products to be processed is less than or equal to the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the first processing method; if the thickness of the paper products to be processed is greater than the preset thickness, it is determined that the corresponding processing method of the laser cutting device is the second processing method.

3. The laser cutting device for paper product processing based on artificial intelligence according to claim 2, wherein The first processing method is the moving cutting of the laser cutting head, and the second processing method is the collaborative moving cutting of the laser cutting head and the fixing assembly.

4. The laser cutting device for paper product processing based on artificial intelligence according to claim 3, characterized in that, The data comparison module compares the coincidence degree between the contour image of the pre-processing part of the paper products before processing and the contour image of the cut seam part of the paper products after processing with the preset coincidence degree to determine whether the first processing method is qualified under the first processing method, where if the coincidence degree is less than the preset coincidence degree, it is determined that the first processing method is unqualified.

5. The laser cutting device for paper product processing based on artificial intelligence according to claim 4, characterized in that, When the strategy control module determines that the first processing method is unqualified, it determines the control strategy for the first processing method according to the comparison result between the difference between the contour image of the slit part of the processed paper product and the standard contour image and a preset difference. Among them, if the difference is less than or equal to the preset difference, it is determined that the control strategy for the first processing method is the first control strategy; if the difference is greater than the preset difference, it is determined that the control strategy for the first processing method is the second control strategy.

6. The laser cutting device for paper product processing based on artificial intelligence according to claim 5, characterized in that, The first control strategy is to increase the electric power of the laser cutting head in the original processing method, and the second control strategy is to increase the electric power of the laser cutting head in the original processing method and at the same time increase the moving speed of the laser cutting head on the horizontal slide rail and the vertical slide rail.

7. The laser cutting device for paper product processing based on artificial intelligence according to claim 3, characterized in that, Under the condition of the second processing method, the data comparison module determines whether the second processing method is qualified by comparing the coincidence degree between the contour image of the pre-processed part of the paper product before processing and the contour image of the slit part of the processed paper product with a preset coincidence degree. Among them, if the coincidence degree is less than the preset coincidence degree, it is determined that the second processing method is unqualified; if the coincidence degree is greater than or equal to the preset coincidence degree, it is determined that the second processing method is qualified.

8. The laser cutting device for paper product processing based on artificial intelligence according to claim 7, wherein, When the strategy control module determines that the second processing method is unqualified, it determines the control strategy for the second processing method according to the comparison result between the difference between the contour image of the slit part of the processed paper product and the standard contour image and a preset difference. Among them, if the difference is less than or equal to the preset difference, it is determined that the control strategy for the second processing method is the third control strategy; if the difference is greater than the preset difference, it is determined that the control strategy for the second processing method is the fourth control strategy.

9. The laser cutting device for paper product processing based on artificial intelligence according to claim 8, characterized in that, The third control strategy is to increase the electric power of the laser cutting head in the original processing method, and the fourth control strategy is to increase the electric power of the laser cutting head in the original processing method and at the same time increase the moving speed of the fixing component for fixing the paper product to be processed on the first slide rail and the second slide rail.

10. The laser cutting device for paper product processing based on artificial intelligence according to claim 1, wherein, The support component includes a support plate arranged on the upper surface of the cutting table for supporting the laser cutting head and a horizontal support rod arranged horizontally between the support plates for installing the laser cutting head. The fixing component includes a horizontal fixing rod and a vertical fixing rod arranged on the surface of the cutting table for fixing paper products to be processed of various sizes. The first moving component includes a first slide rail and a second slide rail arranged at the bottom of the fixing component for moving the fixing component. The second moving component includes a horizontal slide rail and a vertical slide rail arranged above the laser cutting head for moving the laser cutting machine.

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