A colander continuous die switching calibration method based on artificial intelligence

Abstract

This application provides an artificial intelligence-based continuous die switching calibration method for slotted spoons, comprising: scanning and extracting radial recovery displacement distribution data of the sheet metal after large-hole punching, and combining the captured image information of the small hole diameter and position to identify the center distance value between each small hole and the large hole; extracting the pore density distribution characteristics of the area where the small holes are located from the captured image information of the small hole diameter and position, evaluating the state of the weakening zone formed by the dense small holes, and predicting the shrinkage value of the weakening zone after the recovery displacement is attenuated; using the quantitative index of the attenuation degree of the weakening zone as a constraint condition, fusing the center distance value between each small hole and the large hole, the pore density, and the attenuation degree of the weakening zone to predict the reduction distribution of the small hole diameter; evaluating the pore diameter shrinkage area that exceeds the allowable range according to the reduction distribution of the small hole diameter, and dynamically adjusting the small hole punching compensation amount in combination with the current die wear state and material batch characteristics to obtain the adjusted small hole punching compensation parameters.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to an artificial intelligence-based continuous mode switching calibration method for a colander. Background Technology

[0002] In the field of precision stamping manufacturing, rapid switching and precise dimensional control of progressive dies for slotted spoons are crucial for ensuring the consistency of mass-produced parts. The stable control of the hole diameter after stamping directly determines the assembly accuracy and performance of the product; therefore, real-time calibration under dynamic production conditions is essential. Existing methods typically rely on fixed empirical formulas or offline measurement data for compensation. These methods assume that material deformation behavior is singular and predictable, failing to fully consider the complex effects of stress interaction between holes during stamping. This leads to systematic deviations in small hole dimensions during actual production, especially after die switching, making it difficult to balance calibration efficiency and accuracy. A key factor affecting deformation interference between adjacent holes is the dynamic and uneven change in stiffness of localized areas of the material during stamping. When the die first stamps a large hole, the surrounding material elastically recovers due to sudden unloading, shrinking towards the center of the large hole. This shrinkage applies compressive stress to adjacent, unstamped, or recently stamped small hole areas. Traditionally, it is believed that the closer to the large hole, the stronger this compressive effect, and the greater the final shrinkage deformation of the small hole. In practice, if a part design includes a dense array of numerous tiny holes near a large hole, these densely packed holes will form a special material region after punching. Within this region, due to the significant removal of solid material, its overall load-bearing capacity and resistance to deformation are significantly weakened, which can be termed a "porous weakening zone." The appearance of this weakening zone completely alters the mechanical response characteristics of the local area. When the contraction displacement from the distant large hole attempts to propagate further and affect other small holes, it must first pass through this weakening zone. Due to its significantly reduced stiffness, the weakening zone acts more like a flexible "buffer zone," capable of absorbing and dissipating some of the transmitted contraction displacement and stress through its own large deformation, thus producing a significant shielding or attenuation effect on subsequent stress transmission. Imagine a specific part layout: to the side of a large hole, there are two sets of small holes that need to be machined. The first set of small holes is relatively close to the edge of the large hole, but they are very densely distributed, forming a distinct porous weakening zone. The second set of small holes is slightly farther from the edge of the large hole, but they are sparsely spaced and fail to form a continuous weakening region. According to the traditional linear compensation logic based on fixed spacing, the first group of holes, which are closer together, should experience stronger compression and greater shrinkage. However, because the dense area containing the first group of holes forms an effective stress buffer zone, the shrinkage effect from the larger holes is significantly weakened. Conversely, the second group of holes, which are slightly farther away, receives shrinkage stress from the larger holes more directly and completely due to the relatively intact and stiff material in that area, potentially leading to more significant hole shrinkage. This non-uniform and non-monotonic deformation disturbance mode, dominated by dynamic changes in local stiffness, renders any offline compensation strategy relying on fixed distance parameters or simple linear superposition completely ineffective in actual production, resulting in repeated unexplained systematic biases in the calibration results. Summary of the Invention

[0003] This invention provides an artificial intelligence-based continuous mode switching calibration method for a colander, mainly comprising: Scan and extract the radial recovery displacement distribution data of the sheet metal after large hole punching, and combine it with the captured image information of the small hole diameter and position to identify the center distance value between each small hole and the large hole. Based on the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, the radial recovery displacement is mapped to the corresponding position of each small hole according to the distance value. The initial influence intensity of the displacement on the hole diameter is quantified to obtain the initial shrinkage prediction value. The pore density distribution characteristics of the pore area are extracted from the captured image information of the pore diameter and location, the state of the weakening zone formed by the dense pores is evaluated, and the shrinkage value of the weakening zone after the recovery displacement is predicted. Based on the deviation between the predicted shrinkage value after the weakened zone's recovery displacement attenuation and the initial predicted shrinkage value, the relationship between the distance between the center of each small hole and the center of the large hole and the pore density distribution characteristics in the area where the small holes are located is analyzed to determine the quantitative index of the attenuation degree of the weakened zone. Using the quantitative index of the attenuation degree of the weakening zone as a constraint, the center-to-center distance between each small hole and the large hole, the hole density, and the attenuation degree of the weakening zone are integrated to predict the distribution of the reduction in the hole diameter of each small hole. Based on the distribution of the reduction in the diameter of each small hole, the area of ​​diameter shrinkage that exceeds the allowable range is evaluated. The small hole punching compensation amount is dynamically adjusted in combination with the current die wear status and material batch characteristics to obtain the adjusted small hole punching compensation parameters. Based on the adjusted small hole punching compensation parameters, determine the punching size calibration instructions for each small hole punching station, update the production line punching control sequence, and perform compensation punching on each small hole one by one according to the updated punching control sequence to determine the small hole size calibration results that meet the tolerance requirements.

[0004] Preferably, the radial recovery displacement distribution data of the sheet metal after large-hole punching is scanned and extracted, and combined with the captured image information of the small hole diameter and position, the center distance value between each small hole and the large hole is identified, including: A circular scanning trajectory is set along the edge of the large hole punching to collect the radial recovery displacement of the plate surface after punching unloading. The displacement amplitude of each sampling point along the circumferential direction is obtained to form the radial recovery displacement distribution data. An aperture vision inspection device is used to acquire images of each small hole area on the board. The aperture measurement value and position coordinates of each small hole are extracted from the image information, and the center coordinates of the large holes are identified at the same time. Based on the position coordinates of each small hole and the center coordinates of the large hole, the Euclidean distance from the center of each small hole to the center of the large hole is calculated, and the Euclidean distance is used as the center-to-center distance between each small hole and the large hole.

[0005] Preferably, the step of mapping the radial recovery displacement to the corresponding position of each small hole according to the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, quantifying the initial influence intensity of the displacement on the hole diameter, and obtaining the initial shrinkage prediction value includes: Based on the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, the displacement amplitude at the corresponding angular position is found according to the distance value, and the displacement amplitude is mapped to the corresponding small hole to obtain the mapped displacement at each small hole position. The mapped displacement is proportionally reduced to obtain the corrected displacement influence. Based on the corrected displacement influence, the initial shrinkage prediction value of each small hole is obtained by projecting it along the radial direction of the hole diameter.

[0006] Preferably, the step of extracting the pore density distribution characteristics of the pore area from the captured image information of the pore diameter and location, and evaluating the state of the weakening zone formed by the dense pores, includes: Extract the center coordinates and aperture size of each hole from the image information of the holes, divide the board area according to the preset grid unit, and count the number of holes and the proportion of the total area of ​​the aperture in each grid unit to obtain the hole density; Identify grid cells with a hole density exceeding a preset threshold, and merge adjacent high-density grid cells to form a dense small hole region; The degree of weakening of material continuity is determined based on the ratio of the solid material area within the densely packed small holes to the total area. If the degree of weakening exceeds a preset threshold, it is marked as a weakening zone.

[0007] Preferably, predicting the shrinkage value of the weakened band after the recovery displacement is attenuated includes: determining the attenuation coefficient of the weakened band to the radial recovery displacement based on the width of the weakened band and the degree of weakening; Based on the attenuation coefficient and the initial shrinkage prediction value, the displacement transmitted to the distal aperture through the weakened zone is attenuated and corrected. The initial shrinkage prediction value is multiplied by the attenuation coefficient to obtain the shrinkage value of the weakened zone after attenuation of the recovery displacement.

[0008] Preferably, the step of analyzing the relationship between the predicted shrinkage value after the weakened zone's displacement attenuation and the initial predicted shrinkage value, based on the deviation between the predicted value and the initial predicted shrinkage value, and determining the quantitative index of the attenuation degree of the weakened zone, includes: Based on the attenuated shrinkage value and the initial shrinkage prediction value, the shrinkage deviation value of each small hole is calculated to form deviation distribution data; Based on the deviation distribution data and the center-to-center distance between each small hole and large hole, the holes are grouped according to the distance value, and the mean value of the shrinkage deviation value in each group is calculated to obtain the correspondence between the influence of the distance and the amount of deviation. The small holes within the same spacing group are further classified according to their pore density. The difference in the mean deviation under different pore density conditions is compared, and the ratio of the difference in the mean deviation to the difference in pore density is calculated as an adjustment coefficient. The quantitative index of the attenuation degree of the weakened band is calculated based on the aforementioned correspondence and adjustment coefficient.

[0009] Preferably, the step of using the quantitative index of the attenuation degree of the weakening band as a constraint, and integrating the center-to-center distance between each small hole and the large hole, the hole density, and the attenuation degree of the weakening band to predict the reduction distribution of the hole diameter of each small hole includes: Based on the quantitative index of the attenuation degree of the weakening zone, a constraint upper limit is set for the reduction of the aperture of each small hole; The average deviation value corresponding to the center distance between the small hole and the large hole is found as the basic reduction component. The hole density is multiplied by the adjustment coefficient as the material weakening adjustment component. The basic reduction component and the adjustment component are superimposed to obtain the fusion reduction amount. If the fusion reduction exceeds the upper limit of the constraint, it is truncated to the upper limit of the constraint, and the corrected reduction is recorded according to the position coordinates of the small hole to form a reduction distribution.

[0010] Preferably, the step of assessing the diameter shrinkage area exceeding the allowable range based on the distribution of the reduction in the diameter of each small hole, and dynamically adjusting the small hole punching compensation amount in combination with the current die wear state and material batch characteristics to obtain the adjusted small hole punching compensation parameters includes: According to the reduction distribution, the reduction of each small hole is compared with the preset allowable range. If it exceeds the allowable range, it is marked as an out-of-tolerance hole and adjacent out-of-tolerance holes are merged to form a hole diameter shrinkage area. For out-of-tolerance holes within the hole shrinkage area, obtain the wear amount of the die punching edge and the yield strength deviation value of the material batch; The size compensation correction amount is found based on the wear amount and the preset wear compensation comparison table, and the springback compensation correction amount is found based on the yield strength deviation value and the preset springback compensation comparison table. The adjusted blanking compensation parameters are obtained by superimposing the blanking compensation benchmark value with the correction amount.

[0011] Preferably, the step of determining the blanking dimension calibration command for each small hole blanking station based on the adjusted small hole blanking compensation parameters, updating the production line blanking control sequence, performing compensation blanking on each small hole one by one according to the updated blanking control sequence, and determining the small hole dimension calibration result that meets the tolerance requirements includes: Based on the adjusted blanking compensation parameters, the compensation parameters are mapped to the corresponding workstations according to the correspondence between the small hole position coordinates and the blanking workstations, and a blanking dimension calibration command is generated. According to the calibration instructions, the instructions are sorted according to the processing order of the blanking station, and the sorted instruction sequence is written into the production line controller to update the blanking control sequence. According to the updated blanking control sequence, drive each blanking station to perform compensated blanking and obtain the measured hole diameter value of each small hole. Based on the comparison between the measured aperture value and the preset tolerance range, the calibration is determined to be qualified. The calibration status of each small hole is summarized, and the calibration result of the small hole size that meets the tolerance requirements is determined.

[0012] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses an artificial intelligence-based continuous die switching calibration method for slotted spoons. Addressing the complex issue of the impact of radial recovery displacement after large-hole punching on the small-hole diameter in slotted spoon manufacturing, this method integrates multi-dimensional data such as the center-to-center distance between the small and large holes, hole density distribution characteristics, and the attenuation degree of the weakening zone. Through laser displacement scanning and visual inspection technology, it accurately acquires displacement distribution and small-hole position information, innovatively quantifying the initial impact of displacement on the hole diameter and the shrinkage value after weakening zone attenuation. Combining die wear status and material batch characteristics, the method dynamically adjusts punching compensation parameters, ultimately generating calibration instructions to update the production line control sequence, achieving high-precision calibration of the small-hole size. This invention, through intelligent analysis and prediction, significantly improves the punching accuracy of slotted spoons, reduces the hole diameter deviation rate, ensures product tolerances meet requirements, and provides efficient and stable technical support for continuous die production. Attached Figure Description

[0013] Figure 1 This is a flowchart of a continuous mode switching calibration method for a colander based on artificial intelligence, according to the present invention.

[0014] Figure 2 This is a schematic diagram of a continuous mode switching calibration method for a colander based on artificial intelligence according to the present invention.

[0015] Figure 3 This is another schematic diagram of an artificial intelligence-based continuous mode switching calibration method for a colander according to the present invention. Detailed Implementation

[0016] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0017] like Figures 1-3 This embodiment of an artificial intelligence-based continuous mode switching calibration method for a colander may specifically include: Step S101: Scan and extract the radial recovery displacement distribution data of the sheet metal after large hole punching, and combine it with the captured image information of the small hole diameter and position to identify the center distance value between each small hole and the large hole.

[0018] A circular scanning trajectory is set along the edge of the large hole punching using a laser displacement sensor. Laser triangulation is used to collect the radial displacement changes of the edge points in the sheet metal plane towards the center of the large hole after punching and unloading. The displacement value 'd' of each sampling point along the circumference is obtained, where 'd' is the difference in distance from the sampling point to the center. The sampling interval is 1 mm, yielding radial displacement distribution data. A hole diameter vision inspection device is used to acquire images of each small hole area on the sheet metal. The hole diameter measurement value and position coordinates of each small hole are extracted from the image information. Simultaneously, the center coordinates of the large hole are identified, obtaining image information of the hole diameter and position of each small hole. Based on the position coordinates in the image information of the hole diameter and position of each small hole and the center coordinates of the large hole, the Euclidean distance from the center of each small hole to the center of the large hole is calculated. This Euclidean distance is used as the distance between the center of each small hole and the center of the large hole.

[0019] In the precision stamping process, after the blanking die completes the blanking of the large hole and leaves the sheet metal, the material around the large hole will elastically recover due to unloading. This recovery is manifested as a small contraction displacement of the material towards the center of the large hole. This displacement is distributed in the radial direction and the amplitude varies with distance, and is called the radial recovery displacement.

[0020] In one embodiment, the scanning trajectory of the laser displacement sensor is set to run around the edge of the large hole.

[0021] Specifically, taking the center of the large hole as the reference point, a ring path is set at a preset distance from the edge of the large hole. The laser displacement sensor collects the normal displacement changes of the plate surface point by point along the ring path at fixed angle intervals.

[0022] For example, the radius of the circular scanning trajectory is determined based on the diameter of the large hole and the distribution range of adjacent small holes, while the scanning angle interval is set according to the hole density and detection accuracy requirements. The sensor records the displacement amplitude of the sheet surface relative to the pre-punching reference surface at each sampling point. The displacement amplitudes of all sampling points are arranged according to their angular positions to form radial recovery displacement distribution data along the circumferential direction. Based on the acquisition of this radial recovery displacement distribution data, the aperture vision inspection device acquires images of the sheet surface.

[0023] In one possible implementation, the vision inspection device uses an industrial camera with a ring light source to capture images of the board area containing large holes and various small holes, obtaining grayscale images. Edge detection is used to extract the contour boundaries of each small hole. Based on these contour boundaries, the center coordinates of each small hole are fitted with the measured diameter value. Simultaneously, the contour boundaries of the large holes are identified, and the center coordinates of the large holes are determined. Based on the position coordinates of each small hole and the center coordinates of the large hole, the straight-line distance from the center of each small hole to the center of the large hole is calculated using the Euclidean distance formula.

[0024] It should be noted that Euclidean distance is the geometric distance between two points in a two-dimensional plane. This distance value is used as the center distance between each small hole and the center of the large hole, which is used to characterize the spatial positional relationship of each small hole relative to the large hole.

[0025] Step S102: Based on the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, the radial recovery displacement is mapped to the corresponding position of each small hole according to the distance value, the initial influence intensity of the displacement on the hole diameter is quantified, and the initial shrinkage prediction value is obtained.

[0026] Based on the radial recovery displacement distribution data and the center-to-center distance r between each small hole and the large hole, the displacement amplitude d0 at a fixed radius R is found in the radial recovery displacement distribution data according to the angle θ of each small hole. This is then mapped to the corresponding small hole using the linear interpolation formula d = d0 * (r / R), yielding the mapped displacement at each small hole location. Here, R is the radius of the circular trajectory of the distribution data. For the mapped displacement at each small hole location, based on the center-to-center distance r between each small hole and the large hole, and following the rule that the larger the distance, the more significant the displacement transmission attenuation, the attenuation formula c = d * exp(-k * r) is used to proportionally reduce the mapped displacement d, obtaining the corrected displacement influence c, where k is the attenuation coefficient, obtained by fitting historical displacement data. Based on the corrected displacement influence, the initial influence intensity of the displacement on the small hole diameter is quantified. This displacement influence is then projected along the radial direction of the hole diameter to obtain the initial shrinkage prediction value for each small hole.

[0027] During the stamping process, the radial recovery displacement of the surrounding material after the large hole is punched will be transmitted outward along the plane of the sheet metal. The degree to which the small holes at different locations are affected by this displacement is closely related to their distance from the center of the large hole. Therefore, it is necessary to establish a mapping relationship between the spacing value and the displacement amplitude.

[0028] In one embodiment, the process of obtaining the mapped displacement is as follows: based on the center distance between each small hole and the center of the large hole, find the angle position corresponding to the distance value in the radial recovery displacement distribution data, and read the displacement amplitude at the angle position.

[0029] Specifically, the radial displacement distribution data is collected along a circular scanning trajectory, with each sampling point corresponding to an angular position and a displacement amplitude. When the direction of the line connecting the center of the small hole and the center of the large hole is aligned with the angular position of a certain sampling point, the displacement amplitude of that sampling point is the mapped displacement at the position of the small hole.

[0030] For example, if a small hole is located directly above a large hole and the spacing value is comparable to the radius of the circular scanning trajectory, the displacement amplitude at the top angular position of the circular trajectory is read as the mapped displacement of the small hole. Based on the mapped displacement at each hole position, the attenuation characteristics of the displacement transmitted in the radial direction are further considered.

[0031] It should be noted that the transmission of displacement in a material is not completely lossless; as the transmission distance increases, the displacement amplitude gradually decreases.

[0032] In one possible implementation, the mapped displacement is proportionally reduced according to the rule that the larger the spacing value, the more significant the attenuation. Smaller holes with larger spacing values ​​correspond to smaller reduction coefficients, thus obtaining the corrected displacement influence. Based on this corrected displacement influence, it is projected along the radial direction of the hole diameter, i.e., the component pointing towards the center of the small hole is extracted. This component characterizes the compressive effect of the displacement on the hole diameter and is used as the initial shrinkage prediction value for each small hole, quantifying the initial influence intensity of the large hole punching recovery displacement on the small hole diameter.

[0033] Step S103: Extract the pore density distribution characteristics of the area where the pores are located from the captured image information of the pore diameter and location, evaluate the state of the weakening zone formed by the dense pores, and predict the shrinkage value of the weakening zone after the recovery displacement decays.

[0034] The center coordinates and aperture size of each aperture are extracted from the image information of the aperture diameter and location. The plate area is divided into preset grid units, and the number of apertures and the proportion of the total aperture area in each grid unit are counted to obtain the aperture density distribution characteristics of the aperture area. Based on the aperture density distribution characteristics, grid units with aperture density exceeding a preset threshold are identified, and adjacent high-density grid units are merged to form dense aperture regions. The degree of material continuity reduction in the dense aperture region is determined based on the ratio of the solid material area to the total area. For the degree of material continuity reduction, the boundary position of the dense aperture region is marked along the radial direction of the large aperture. If the degree of material continuity reduction exceeds the preset threshold, the dense aperture region is marked as a weakened zone. The attenuation coefficient of the weakened zone for radial recovery displacement is determined based on the width of the weakened zone and the degree of reduction. Based on the attenuation coefficient and the initial shrinkage prediction value, the displacement transmitted to the far aperture through the weakened zone is attenuated and corrected. The initial shrinkage prediction value is multiplied by the attenuation coefficient to obtain the shrinkage value of the weakened zone after attenuation of the recovery displacement.

[0035] In precision stamping production, the distribution density of small holes on the sheet metal directly affects the material load-bearing capacity of local areas. Hole density distribution characteristics are used to describe the degree of hole aggregation in different areas of the sheet metal. This characteristic is obtained by meshing the sheet metal surface and statistically analyzing the hole information within each mesh.

[0036] In one embodiment, the process of mesh generation and hole density statistics is as follows: Based on the overall size of the board and the average hole diameter, the side length of the mesh unit is set, and the surface of the board is divided into several rectangular mesh units. For each mesh unit, all holes falling within the mesh range are extracted from the image information of the hole diameter and position. The number of holes is counted, and the hole area of ​​each hole is accumulated. The total hole area is divided by the area of ​​the mesh unit to obtain the hole area ratio of the mesh unit.

[0037] For example, if a grid cell contains multiple small holes and the proportion of hole area exceeds a preset threshold, the grid cell is marked as a high-density cell. After traversing all grid cells and completing the above statistics, a pore density distribution feature covering the entire board area is formed. Based on the pore density distribution feature, densely pore areas are further identified.

[0038] Specifically, all grid cells are scanned, high-density grid cells with pore density exceeding a preset threshold are selected, the spatial continuity between adjacent high-density grid cells is determined, and spatially adjacent high-density grid cells are merged into a connected region, which is the dense pore region.

[0039] It should be noted that the degree of material continuity reduction is used to quantify the decrease in load-bearing capacity of the remaining material after the solid material in the densely porous region is removed.

[0040] In one possible implementation, the total area of ​​the densely packed perforated region is calculated, and the sum of the aperture areas of all perforations within that region is calculated. The sum of the aperture areas is then divided by the total area to obtain the perforation percentage. The ratio of the solid material area to the total area is equal to one minus the perforation percentage. The smaller this ratio, the less solid material there is, and the greater the weakening of material continuity.

[0041] For example, when the area ratio of the solid material is lower than a preset threshold, it indicates that the material continuity of the densely pored region has been significantly weakened. The weakened zone refers to the low-stiffness band-shaped region formed in the densely pored region due to the weakening of material continuity. This region plays a buffering and shielding role in the radial displacement transmission path.

[0042] In one embodiment, the process of calibrating the weakened zone and determining the attenuation coefficient is as follows: Along the radial direction of the large hole, the positions of each densely packed small hole region are checked sequentially from the edge of the large hole outwards. If the degree of material continuity weakening in a certain densely packed small hole region exceeds a preset threshold, the region is marked as a weakened zone, and the start and end positions of the weakened zone along the radial direction are recorded; the difference between the two is the width of the weakened zone. The attenuation coefficient is determined jointly based on the width of the weakened zone and the degree of material continuity weakening: the larger the width of the weakened zone, the longer the attenuation path during displacement traversal, and the more significant the attenuation; the higher the degree of material continuity weakening, the lower the stiffness of the weakened zone, the stronger its ability to absorb displacement, and the smaller the attenuation coefficient.

[0043] For example, a correspondence table between the weakening band width, the degree of weakening, and the attenuation coefficient can be established, and the corresponding attenuation coefficient can be obtained by looking up the table based on the measured width value and the degree of weakening value.

[0044] Understandably, the attenuation coefficient ranges from zero to one. The closer the attenuation coefficient is to zero, the stronger the shielding effect of the weakened zone on displacement, and the smaller the displacement transmitted to the distal aperture after crossing the weakened zone. Based on the attenuation coefficient, the initial shrinkage prediction value is attenuated and corrected.

[0045] Specifically, for each small hole located at the far end of the weakened zone, its initial predicted shrinkage value is multiplied by the attenuation coefficient of the corresponding weakened zone to obtain the corrected displacement. This corrected displacement reflects the shielding effect of the weakened zone on the radial recovery displacement. After the above attenuation correction, each far-end small hole obtains a shrinkage value after the weakened zone attenuates the recovery displacement. This shrinkage value more accurately reflects the actual impact of the densely packed small hole region on displacement transmission compared to the initial predicted shrinkage value.

[0046] Step S104: Based on the deviation between the predicted shrinkage value after the weakened zone's recovery displacement attenuation and the initial predicted shrinkage value, analyze the relationship between the influence of the spacing between the centers of the small holes and the large holes and the pore density distribution characteristics of the area where the small holes are located, and determine the quantitative index of the attenuation degree of the weakened zone.

[0047] Based on the shrinkage value after the weakened zone's recovery displacement decay and the initial shrinkage prediction value, the deviation of each orifice between the two prediction results is calculated. The attenuated shrinkage value is subtracted from the initial shrinkage prediction value to obtain the shrinkage deviation value of each orifice. These deviation values ​​are recorded according to the orifice location distribution to form deviation distribution data. Based on the deviation distribution data and the center-to-center distance between each orifice and the large orifice, the orifices are grouped according to the distance value. The mean shrinkage deviation value within each group is calculated to obtain the distribution law of shrinkage deviation value changing with the distance value, thus obtaining the correspondence between the distance influence and the deviation. Regarding the correspondence between the distance influence and the deviation, combined with the pore density distribution characteristics of the area where each orifice is located, the orifices within the same distance group are reclassified according to pore density. The difference in the mean deviation under different pore density conditions is compared, and the ratio of the mean deviation difference to the pore density difference is used as the adjustment coefficient for the deviation based on pore density. Based on the mean deviation of each spacing group in the correspondence between the spacing influence and the deviation amount, and the adjustment coefficient, the mean deviation of the spacing group and the adjustment coefficient are weighted and summed to obtain a comprehensive evaluation value reflecting the degree of displacement attenuation of the weakened zone. The comprehensive evaluation value is used as a quantitative indicator of the attenuation degree of the weakened zone.

[0048] During the stamping process, the presence of weakened zones can cause a deviation between the initial predicted shrinkage value and the actual shrinkage value after attenuation. The shrinkage deviation value is used to quantify this difference and reflect the actual influence of the weakened zones on displacement transmission.

[0049] In one embodiment, the shrinkage deviation value is calculated as follows: For each small hole, its initial shrinkage prediction value is subtracted from the shrinkage value after the weakening zone attenuates the recovery displacement; the difference is the shrinkage deviation value of that small hole. The shrinkage deviation values ​​of all small holes are recorded according to their position coordinates on the plate, forming deviation distribution data covering the entire processing area. Based on the deviation distribution data, the small holes are further grouped according to their spacing values.

[0050] Specifically, based on the distribution range of the center-to-center distance between each small hole and the large hole, the distance values ​​are divided into several intervals, and each interval corresponds to a distance group.

[0051] For example, intervals can be divided according to fixed spacing increments, and holes with spacing values ​​falling within the same interval are grouped into the same group. For all holes within each spacing group, their shrinkage deviation values ​​are statistically analyzed and the mean value is calculated. This mean value reflects the average attenuation effect of the weakening zone on displacement transmission within a specific spacing range. By observing the changing trend of the mean deviation of each spacing group as the spacing value increases or decreases, the correspondence between the spacing influence and the deviation amount can be obtained.

[0052] It should be noted that the relationship between the spacing effect and the deviation exhibits a certain regularity. When the spacing value is small, the small holes are closer to the large holes, the path affected by the weakening zone is shorter, and the deviation is relatively small. When the spacing value increases to the extent covered by the weakening zone, the deviation reaches a larger value. When the spacing value exceeds the range of the weakening zone, the deviation tends to stabilize. Based on the obtained spacing effect regularity, pore density distribution characteristics are further introduced for reclassification. Within the same spacing group, the pore density of each small hole area may differ. Areas with higher pore density show more significant weakening of material continuity and a more significant impact on the deviation.

[0053] In one possible implementation, the adjustment coefficient is determined as follows: For holes within the same spacing group, based on the pore density distribution characteristics of their region, i.e., the number of holes per unit area, the holes are divided into a high-density group and a low-density group. The mean deviation of the high-density group and the low-density group is calculated separately, and the difference between the mean deviations of the two groups is calculated. Simultaneously, the difference in average pore density between the high-density group and the low-density group is calculated. The ratio obtained by dividing the difference in mean deviations by the difference in pore density is the adjustment coefficient of pore density on the deviation.

[0054] In one possible implementation, the k-means clustering algorithm is used. The input is the ρ values ​​of all pores, with cluster size k=2. The algorithm automatically divides the population into high-density groups (ρ values ​​higher than the cluster center average) and low-density groups (ρ values ​​lower than the cluster center average). The threshold can be set as the average of all ρ values ​​multiplied by 1.5 as an initial partitioning reference. The mean deviations μh and μl between the high-density and low-density groups are calculated separately, and the difference between the two mean deviations Δμ = μh - μl is calculated. This adjustment coefficient characterizes the magnitude of the deviation change caused by a change in unit pore density. The larger the adjustment coefficient, the stronger the moderating effect of pore density on the attenuation effect of the weakening band.

[0055] Understandably, the introduction of the adjustment coefficient can distinguish the attenuation differences in regions with different pore densities under the same spacing conditions. This is particularly important for cases where the pore distribution on the board is uneven, as it can more accurately reflect the local characteristics of the weakening zone. The process of constructing a comprehensive evaluation value based on the mean deviation of the spacing groups and the adjustment coefficient is as follows: The mean deviations of each spacing group are sorted according to the spacing value, and a weighting coefficient is determined based on the coverage area ratio of each group on the board. The mean deviations of each spacing group are multiplied by their corresponding weighting coefficients and then summed to obtain the weighted contribution value of the spacing influence. Simultaneously, the adjustment coefficient is multiplied by a preset adjustment weight to obtain the contribution value of pore density adjustment. The weighted contribution value of the spacing influence and the contribution value of pore density adjustment are added together to obtain the comprehensive evaluation value.

[0056] In one possible implementation, the process of constructing the comprehensive evaluation value is as follows: First, calculate the coverage area ratio Ai of each spacing group = (number of holes in group i Ni × average hole area S) / total area of ​​the board, and normalize the sum to a weight wi = Ai / ΣAj. Then, multiply the mean deviation Di of each group by wi and sum them to obtain the weighted contribution value of spacing influence Cs = Σ(Di × wi). At the same time, multiply the adjustment coefficient R by the preset adjustment weight 0.5, the experimental calibration value, to ensure that the hole density contribution accounts for about 1 / 3 of the total evaluation value, to obtain the hole density adjustment contribution value Cr = R × 0.5. Add Cs and Cr to obtain the comprehensive evaluation value C = Cs + Cr. The comprehensive evaluation value serves as a quantitative indicator of the attenuation degree of the weakened zone. The larger the value, the more significant the attenuation effect of the weakened zone on displacement transmission. This indicator can comprehensively reflect the combined influence of spacing factor and hole density factor on the attenuation effect of the weakened zone. In actual stamping production, the quantitative indicators can be used to evaluate the attenuation characteristics of the weakened zone under different part layout schemes, guide die design and blanking sequence optimization, and improve the accuracy and consistency of small hole size control.

[0057] Step S105: Using the quantitative index of the attenuation degree of the weakening zone as a constraint, the center distance between each small hole and the large hole, the hole density, and the attenuation degree of the weakening zone are integrated to predict the distribution of the reduction in the diameter of each small hole.

[0058] Based on the quantitative index of the attenuation degree of the weakening zone, a constraint upper limit is set for the predicted reduction amount of each small hole diameter. If a small hole is located within the coverage area of ​​the weakening zone, the predicted reduction amount of that small hole is constrained by the quantitative index, thus obtaining the attenuation constraint upper limit value for each small hole. For the attenuation constraint upper limit value, the center-to-center distance between each small hole and the large hole, along with the hole density, are integrated. The average deviation value corresponding to the center-to-center distance between each small hole and the large hole is found in the relationship between distance influence and deviation amount as the basic reduction component. The hole density of the area where each small hole is located is multiplied by an adjustment coefficient to obtain the material weakening adjustment component. The basic reduction component and the material weakening adjustment component are superimposed to obtain the fused reduction amount of each small hole. Based on the fused reduction amount of each small hole and the attenuation constraint upper limit value, the fused reduction amount is constrained and corrected. If the fused reduction amount exceeds the attenuation constraint upper limit value, the fused reduction amount is truncated to the attenuation constraint upper limit value. The corrected reduction amount is recorded according to the position coordinates of each small hole on the plate, thus obtaining the reduction amount distribution of each small hole diameter.

[0059] When predicting the reduction in aperture of each orifice, a quantitative index of the attenuation degree of the weakening zone is used as a constraint to limit the prediction results. The upper limit of the attenuation constraint represents the theoretical maximum reduction in aperture of each orifice under the influence of the weakening zone. This upper limit is determined based on the quantitative index and the positional relationship of each orifice relative to the weakening zone.

[0060] In one embodiment, the fusion process of the basic reduction component and the material weakening adjustment component is as follows: For each small hole, based on its distance value from the center of the large hole, the distance influence and deviation correspondence obtained above are searched to locate the distance group to which the distance value belongs, and the mean deviation value corresponding to the group is read as the basic reduction component.

[0061] For example, if the spacing value of a certain hole falls into the third spacing group, the average deviation of the third spacing group is assigned to that hole as a basic reduction component. Simultaneously, based on the pore density distribution characteristics of the area where the hole is located, the pore density value is multiplied by the previously determined adjustment coefficient, and the resulting product is used as the material weakening adjustment component. Based on the basic reduction component and the material weakening adjustment component, the two are superimposed.

[0062] Specifically, the base reduction component is added to the material weakening adjustment component to obtain the fusion reduction amount of the orifice. This fusion reduction amount comprehensively reflects the combined effect of the spacing factor and the pore density factor on the orifice diameter shrinkage.

[0063] It should be noted that the constraint correction for the fusion reduction is performed as follows: the fusion reduction of each hole is compared with its corresponding attenuation constraint upper limit. If the fusion reduction is less than or equal to the attenuation constraint upper limit, the fusion reduction is retained as the final reduction of that hole; if the fusion reduction exceeds the attenuation constraint upper limit, the final reduction of that hole is set as the attenuation constraint upper limit, thus achieving truncation correction. After constraint correction, the corrected reduction is spatially mapped and recorded according to the position coordinates of each hole on the board, forming a reduction distribution of the hole diameter covering the entire processing area.

[0064] Step S106: Based on the distribution of the reduction in the diameter of each small hole, assess the area of ​​diameter shrinkage that exceeds the allowable range, and dynamically adjust the small hole punching compensation amount in combination with the current die wear state and material batch characteristics to obtain the adjusted small hole punching compensation parameters.

[0065] Based on the reduction distribution of the aperture of each small hole, the reduction of each small hole is compared with a preset allowable aperture shrinkage range. If the reduction of a small hole exceeds the upper limit of the allowable range, the small hole is marked as an out-of-tolerance hole. Adjacent out-of-tolerance holes are merged to form a connected region, resulting in an aperture shrinkage region exceeding the allowable range. For each out-of-tolerance hole within the aperture shrinkage region exceeding the allowable range, the wear amount of the current die's punching edge and the yield strength deviation value of the current material batch are obtained. The corresponding size compensation correction amount is found according to the wear amount and a preset wear compensation lookup table, and the corresponding springback compensation correction amount is found according to the yield strength deviation value and a preset springback compensation lookup table. Based on the size compensation correction amount and the springback compensation correction amount, the punching compensation amount of each out-of-tolerance hole is superimposed and adjusted. The preset punching compensation benchmark value is added to the size compensation correction amount and the springback compensation correction amount to obtain the adjusted small hole punching compensation parameters.

[0066] During the stamping process, when the actual shrinkage of a small hole exceeds the allowable range, the hole is marked as an out-of-tolerance hole. Adjacent out-of-tolerance holes on the sheet metal are merged to form a connected hole shrinkage zone. All out-of-tolerance holes within this zone require punching compensation adjustment. For the hole shrinkage zone exceeding the allowable range, the current die cutting edge wear is obtained from the die condition monitoring device, and the yield strength deviation value of the current material batch relative to the standard material is obtained from the material inspection record. The cutting edge wear reflects the dimensional change of the die edge during continuous punching, and the yield strength deviation value reflects the difference in mechanical properties between the current batch of material and the standard batch of material.

[0067] In one embodiment, the structure and application of the wear compensation comparison table and the springback compensation comparison table are as follows: The wear compensation comparison table uses the wear amount of the blanking cutting edge as the index item, and each wear amount range corresponds to a size compensation correction amount. The larger the wear amount, the larger the size compensation correction amount, which is used to compensate for the problem of the blanking hole diameter being too small due to the wear of the cutting edge. The springback compensation comparison table uses the yield strength deviation value as the index item, and each deviation value range corresponds to a springback compensation correction amount. When the yield strength deviation is positive, the springback compensation correction amount increases, and when the yield strength deviation is negative, the springback compensation correction amount decreases, which is used to compensate for the hole diameter changes caused by the difference in springback characteristics between different batches of materials.

[0068] Specifically, based on the obtained blanking edge wear amount, the corresponding interval is located in the wear compensation reference table, and the dimensional compensation correction amount for that interval is read. Based on the obtained yield strength deviation value, the corresponding interval is located in the springback compensation reference table, and the springback compensation correction amount for that interval is read. Based on the dimensional compensation correction amount and the springback compensation correction amount, the preset blanking compensation benchmark value is added to the two correction amounts to obtain the adjusted small hole blanking compensation parameter. This parameter is used to guide the blanking dimension adjustment of each out-of-tolerance hole position.

[0069] Step S107: Determine the blanking size calibration instruction for each small hole blanking station according to the adjusted small hole blanking compensation parameters, update the production line blanking control sequence, perform compensation blanking on each small hole one by one according to the updated blanking control sequence, and determine the small hole size calibration result that meets the tolerance requirements.

[0070] Based on the adjusted hole punching compensation parameters, according to the correspondence between the position coordinates of each hole on the sheet metal and the punching stations on the production line, the compensation parameters of each hole are mapped to the corresponding punching station, generating punching dimension calibration instructions for each hole punching station. Based on the punching dimension calibration instructions for each hole punching station, the instructions are sorted according to the processing order of the punching stations, and the sorted instruction sequence is written into the production line controller to update the production line punching control sequence. According to the updated punching control sequence, the dies at each punching station are sequentially driven to perform compensation punching actions, completing the punching process for each hole one by one, and obtaining the measured hole diameter value after punching each hole. Based on the measured hole diameter value of each hole, it is compared with a preset tolerance range. If the measured hole diameter value falls within the tolerance range, the hole is determined to be calibrated successfully. The calibration status of each hole is summarized to determine the hole size calibration result that meets the tolerance requirements.

[0071] In the continuous die stamping production of slotted spoons, the adjusted small hole punching compensation parameters need to be converted into specific punching station control instructions to guide the actual processing. The mapping relationship between the compensation parameters and the punching station is established by the correspondence between the position coordinates of each small hole on the sheet metal and the layout of the production line stations.

[0072] In one embodiment, the calibration instruction is generated as follows: for each small hole, the corresponding punching station number is found based on its position coordinates on the plate.

[0073] For example, in the production line layout, each punching station is responsible for processing small holes within a specific area. The area where the small hole's position coordinates fall corresponds to the station. The adjusted punching compensation parameters for the small hole are written into the calibration instruction of the corresponding station. The calibration instruction includes two items: the target punching hole diameter and the compensation offset. The target punching hole diameter is the nominal hole diameter plus the compensation offset, and the compensation offset is the specific value of the adjusted small hole punching compensation parameter. After traversing all out-of-tolerance holes and completing the above mapping, a set of punching dimension calibration instructions for each small hole punching station is formed. Based on the set of calibration instructions, the instructions are further sorted according to the processing order of the punching stations. The punching stations on the production line are usually arranged sequentially according to the sheet metal feed direction. When sorting, the stations are arranged from front to back according to their physical position on the production line to ensure that the order of instruction execution is consistent with the order in which the sheet metal actually passes through the stations.

[0074] It should be noted that the control sequence update process involves data interaction with the production line controller. The sorted instruction sequence is transmitted to the production line controller via the data interface. After receiving the instructions, the controller writes them into the blanking control sequence storage area in memory, completing the update of the blanking control sequence. The updated blanking control sequence takes effect immediately, guiding subsequent blanking operations.

[0075] In one possible implementation, the execution process of the compensation blanking action is as follows: The production line controller sequentially reads the calibration instructions of each station according to the updated blanking control sequence and sends control signals to the blanking mechanism of the corresponding station. After receiving the control signal, the blanking mechanism adjusts the blanking stroke of the die or replaces the punch of the corresponding specification according to the target blanking diameter in the calibration instruction, and then executes the blanking action.

[0076] Specifically, if the compensation offset is positive, it indicates that the punching hole diameter needs to be increased to compensate for subsequent shrinkage. The punching mechanism should use a slightly larger punch or increase the punching stroke depth. If the compensation offset is negative, the opposite adjustment method is used. Each hole is punched sequentially according to the control sequence. After punching, an online vision inspection device is used to obtain the measured hole diameter value for each hole. The vision inspection device is installed downstream of the punching station. Immediately after the hole is punched, it acquires images and measures the hole diameter, feeding the measured hole diameter value back to the production line controller, where it is associated with and stored in conjunction with the calibration command for that hole.

[0077] Understandably, the tolerance range is a pre-defined allowable deviation range for the aperture, determined by product design requirements. The tolerance range includes an upper limit and a lower limit. The upper limit is the nominal aperture plus the allowable positive deviation, and the lower limit is the nominal aperture minus the allowable negative deviation.

[0078] In one embodiment, the calibration status determination and result summary process is as follows: For each hole, the measured hole diameter value is compared with a preset tolerance range. If the measured hole diameter value is greater than or equal to the lower tolerance limit and less than or equal to the upper tolerance limit, the measured hole diameter falls within the tolerance range, and the hole is determined to be calibrated successfully, with its calibration status marked as qualified. If the measured hole diameter value exceeds the upper or lower limit of the tolerance range, the hole is determined to be calibrated unqualified, its calibration status is marked as unqualified, and the deviation direction and deviation amount are recorded. After completing the calibration status determination for all holes, the calibration status of each hole is summarized to form a record table containing the calibration results of all holes. In the calibration result record table, the number and location distribution information of qualified calibrated holes represent the hole size calibration results that meet the tolerance requirements. This result can be used to evaluate the pass rate of this batch of processing and provide a reference for adjusting the compensation parameters of subsequent batches.

[0079] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A continuous mode switching calibration method for a colander based on artificial intelligence, characterized in that, The method includes: Scan and extract the radial recovery displacement distribution data of the sheet metal after large hole punching, and combine it with the captured image information of the small hole diameter and position to identify the center distance value between each small hole and the large hole. Based on the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, the radial recovery displacement is mapped to the corresponding position of each small hole according to the distance value. The initial influence intensity of the displacement on the hole diameter is quantified to obtain the initial shrinkage prediction value. The pore density distribution characteristics of the pore area are extracted from the captured image information of the pore diameter and location, the state of the weakening zone formed by the dense pores is evaluated, and the shrinkage value of the weakening zone after the recovery displacement is predicted. Based on the deviation between the predicted shrinkage value after the weakened zone's recovery displacement attenuation and the initial predicted shrinkage value, the relationship between the distance between the center of each small hole and the center of the large hole and the pore density distribution characteristics in the area where the small holes are located is analyzed to determine the quantitative index of the attenuation degree of the weakened zone. Using the quantitative index of the attenuation degree of the weakening zone as a constraint, the center-to-center distance between each small hole and the large hole, the hole density, and the attenuation degree of the weakening zone are integrated to predict the distribution of the reduction in the hole diameter of each small hole. Based on the distribution of the reduction in the diameter of each small hole, the area of ​​diameter shrinkage that exceeds the allowable range is evaluated. The small hole punching compensation amount is dynamically adjusted in combination with the current die wear status and material batch characteristics to obtain the adjusted small hole punching compensation parameters. Based on the adjusted small hole punching compensation parameters, determine the punching size calibration instructions for each small hole punching station, update the production line punching control sequence, and perform compensation punching on each small hole one by one according to the updated punching control sequence to determine the small hole size calibration results that meet the tolerance requirements.

2. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The process involves scanning and extracting the radial recovery displacement distribution data of the sheet metal after large-hole punching, and combining this with captured image information of the small hole diameter and location to identify the center distance values ​​between each small hole and the large hole, including: A circular scanning trajectory is set along the edge of the large hole punching to collect the radial recovery displacement of the plate surface after punching unloading. The displacement amplitude of each sampling point along the circumferential direction is obtained to form the radial recovery displacement distribution data. An aperture vision inspection device is used to acquire images of each small hole area on the board. The aperture measurement value and position coordinates of each small hole are extracted from the image information, and the center coordinates of the large holes are identified at the same time. Based on the position coordinates of each small hole and the center coordinates of the large hole, the Euclidean distance from the center of each small hole to the center of the large hole is calculated, and the Euclidean distance is used as the center-to-center distance between each small hole and the large hole.

3. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The step involves mapping the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole to the corresponding position of each small hole according to the distance value, quantifying the initial influence intensity of the displacement on the hole diameter, and obtaining the initial shrinkage prediction value, including: Based on the radial recovery displacement distribution data and the center-to-center distance between each small hole and the large hole, the displacement amplitude at the corresponding angular position is found according to the distance value, and the displacement amplitude is mapped to the corresponding small hole to obtain the mapped displacement at each small hole position. The mapped displacement is proportionally reduced to obtain the corrected displacement influence. Based on the corrected displacement influence, the initial shrinkage prediction value of each small hole is obtained by projecting it along the radial direction of the hole diameter.

4. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The step of extracting the pore density distribution characteristics of the pore area from the captured image information of pore diameter and location, and evaluating the state of the weakening zone formed by dense pores, includes: Extract the center coordinates and aperture size of each hole from the image information of the holes, divide the board area according to the preset grid unit, and count the number of holes and the proportion of the total area of ​​the aperture in each grid unit to obtain the hole density; Identify grid cells with a hole density exceeding a preset threshold, and merge adjacent high-density grid cells to form a dense small hole region; The degree of weakening of material continuity is determined based on the ratio of the solid material area within the densely packed small holes to the total area. If the degree of weakening exceeds a preset threshold, it is marked as a weakening zone.

5. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 4, characterized in that, Predicting the shrinkage value of the weakened band after the recovery displacement is attenuated includes: determining the attenuation coefficient of the weakened band to the radial recovery displacement based on the width of the weakened band and the degree of weakening; Based on the attenuation coefficient and the initial shrinkage prediction value, the displacement transmitted to the distal aperture through the weakened zone is attenuated and corrected. The initial shrinkage prediction value is multiplied by the attenuation coefficient to obtain the shrinkage value of the weakened zone after attenuation of the recovery displacement.

6. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The method involves analyzing the relationship between the predicted shrinkage value after the weakened zone's displacement attenuation and the initial predicted shrinkage value, based on the deviation between these two values. This analysis considers the influence of the spacing between the centers of the small and large holes and the pore density distribution characteristics in the area where the small holes are located. The goal is to determine quantitative indicators of the attenuation degree of the weakened zone, including: Based on the attenuated shrinkage value and the initial shrinkage prediction value, the shrinkage deviation value of each small hole is calculated to form deviation distribution data; Based on the deviation distribution data and the center-to-center distance between each small hole and large hole, the holes are grouped according to the distance value, and the mean value of the shrinkage deviation value in each group is calculated to obtain the correspondence between the influence of the distance and the amount of deviation. The small holes within the same spacing group are further classified according to their pore density. The difference in the mean deviation under different pore density conditions is compared, and the ratio of the difference in the mean deviation to the difference in pore density is calculated as an adjustment coefficient. The quantitative index of the attenuation degree of the weakened band is calculated based on the aforementioned correspondence and adjustment coefficient.

7. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The step of using the quantitative index of the attenuation degree of the weakening band as a constraint, and integrating the center-to-center distance between each small and large hole, the hole density, and the attenuation degree of the weakening band, to predict the distribution of the reduction in the diameter of each small hole includes: Based on the quantitative index of the attenuation degree of the weakening zone, a constraint upper limit is set for the reduction of the aperture of each small hole; The average deviation value corresponding to the center distance between the small hole and the large hole is found as the basic reduction component. The hole density is multiplied by the adjustment coefficient as the material weakening adjustment component. The basic reduction component and the adjustment component are superimposed to obtain the fusion reduction amount. If the fusion reduction exceeds the upper limit of the constraint, it is truncated to the upper limit of the constraint, and the corrected reduction is recorded according to the position coordinates of the small hole to form a reduction distribution.

8. The method for continuous mode switching calibration of a colander based on artificial intelligence according to claim 1, characterized in that, The process involves assessing the diameter shrinkage area exceeding the allowable range based on the distribution of diameter reduction for each small hole, and dynamically adjusting the small hole punching compensation amount in conjunction with the current die wear state and material batch characteristics to obtain the adjusted small hole punching compensation parameters, including: According to the reduction distribution, the reduction of each small hole is compared with the preset allowable range. If it exceeds the allowable range, it is marked as an out-of-tolerance hole and adjacent out-of-tolerance holes are merged to form a hole diameter shrinkage area. For out-of-tolerance holes within the hole shrinkage area, obtain the wear amount of the die punching edge and the yield strength deviation value of the material batch; The size compensation correction amount is found according to the wear amount and the preset wear compensation comparison table, and the springback compensation correction amount is found according to the yield strength deviation value and the preset springback compensation comparison table. The adjusted blanking compensation parameters are obtained by superimposing the blanking compensation benchmark value with the correction amount.

9. The continuous mode switching calibration method for a colander based on artificial intelligence according to claim 1, characterized in that, The process involves determining the blanking dimension calibration instructions for each small hole blanking station based on the adjusted small hole blanking compensation parameters, updating the production line blanking control sequence, performing compensation blanking on each small hole one by one according to the updated blanking control sequence, and determining the small hole dimension calibration results that meet the tolerance requirements, including: Based on the adjusted blanking compensation parameters, the compensation parameters are mapped to the corresponding workstations according to the correspondence between the small hole position coordinates and the blanking workstations, and a blanking dimension calibration command is generated. According to the calibration instructions, the instructions are sorted according to the processing order of the blanking station, and the sorted instruction sequence is written into the production line controller to update the blanking control sequence. According to the updated blanking control sequence, drive each blanking station to perform compensated blanking and obtain the measured hole diameter value of each small hole. Based on the comparison between the measured aperture value and the preset tolerance range, the calibration is determined to be qualified. The calibration status of each small hole is summarized, and the calibration result of the small hole size that meets the tolerance requirements is determined.

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