A method and system for online monitoring of glove thickness and process parameter adjustment

Abstract

This invention relates to the field of dipped glove production control technology, providing a method and system for online monitoring of glove thickness and adjustment of process parameters. The method includes: during subsequent calcium supplementation treatment of target detection points, adjusting the calcium injection momentum parameters used in the current calcium supplementation treatment based on the position of the most recently acquired calcium deposition bias index relative to the target deposition bias range. This alters the eccentricity, marginalization, or deposition expansion of the actual calcium solution deposition area relative to the target detection point, and ensures that the calcium deposition bias index of the target point obtained after the current calcium supplementation treatment approaches or falls within the target deposition bias range. This invention does not simply increase or decrease the amount of calcium supplementation, but rather improves the subtle thickness fluctuations in the surrounding area while ensuring the target detection point thickness is within acceptable limits, thereby improving local smoothness, consistent wearing feel, and batch stability.

Description

Technical Field

[0001] The present invention relates to the technical field of dipped glove production control, and in particular, relates to an on-line glove thickness monitoring and process parameter adjustment method and system. Background Art

[0002] Dip-molded gloves are usually produced through processes such as hand mold cleaning, coagulant spraying or dipping, latex dipping, drying and vulcanization, and demolding. The molding quality of gloves is affected by factors such as calcium liquid distribution, latex dipping time, latex dipping depth, mold lifting speed and latex adhesion amount. Among them, the wrist, palm and finger parts are prone to local thickness differences due to different structural positions, latex receiving states and sagging states. Therefore, existing production lines usually perform single-point thickness detection on the wrist, palm, finger and other parts of the finished gloves, and reversely correct the calcium supplement treatment or latex dipping parameters of the corresponding hand mold area according to the detection results.

[0003] Existing preset calcium supplement strategies can well solve the problem of insufficient or mismatched thickness at target detection points. For example, when a certain detection point is thinner than other detection points, the system can determine the hand mold area corresponding to the detection point, spray calcium liquid through the corresponding calcium supplement nozzle, and adjust the latex dipping time, latex dipping depth, mold lifting speed or latex adhesion amount, so that the subsequently produced gloves at the target detection point return to the qualified thickness range. This type of strategy focuses on whether the target detection point itself is qualified, and can meet the conventional production quality control requirements.

[0004] However, when the thickness of the target detection point is already qualified, there may still be a slight non-smooth thickness transition phenomenon in the neighborhood of the target detection point. This phenomenon usually does not lead to the product being judged as unqualified, so the prior art often does not carry out further processing. However, studies have found that under the same preset calcium supplement strategy, the slight eccentricity, marginalization or deposition direction deviation of the actual calcium liquid deposition area after spraying calcium liquid relative to the target detection point will affect the thickness fluctuation degree of the area around the target detection point. The prior art lacks the identification and adjustment of such local thickness flatness within the qualified range, and it is difficult to further improve the local flatness, wearing touch consistency and batch stability of gloves. Contents of the Invention

[0005] The purpose of the present invention is to provide an on-line glove thickness monitoring and process parameter adjustment method and system, which aims to solve the problems raised in the background art.

[0006] The present invention is implemented as such, an on-line glove thickness monitoring and process parameter adjustment method, the method comprising: S1. Perform thickness detection on gloves continuously produced by the same hand mold, and when a thickness mismatch occurs at a target detection point in the wrist, palm or finger part, call a preset calcium supplement strategy to perform calcium supplement treatment on the hand mold area corresponding to the target detection point; S2. After calcium supplementation and before resin impregnation, obtain the target point calcium deposition bias index of the hand mold area corresponding to the target detection point. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point. S3. For gloves made after calcium supplementation and with qualified target test point thickness, obtain the neighborhood thickness distribution centered on the target test point, and calculate the thickness diffusion flatness index based on the neighborhood thickness distribution. S4. Based on the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes, determine the target deposition bias range that minimizes the thickness diffusion smoothness index. S5. When performing calcium supplementation treatment on the target detection point in the subsequent process, adjust the calcium injection momentum parameters used in this calcium supplementation treatment according to the position of the calcium deposition bias index of the target point obtained in the most recent acquisition relative to the target deposition bias range. This will change the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and make the calcium deposition bias index of the target point obtained after this calcium supplementation treatment approach or fall into the target deposition bias range.

[0007] As a further limitation of the technical solution of this embodiment of the invention, the calcium supplementation treatment specifically includes: determining a calcium supplementation nozzle or calcium supplementation area corresponding to the target detection point based on the glove part to which the target detection point belongs; controlling the calcium supplementation nozzle to spray calcium liquid onto the corresponding hand mold area to form a calcium supplementation liquid film in the hand mold area; after the calcium supplementation liquid film is formed, controlling the hand mold to enter the adhesive liquid for immersion treatment, and adjusting the immersion time, immersion depth, mold lifting speed or adhesive liquid adhesion amount according to a preset calcium supplementation strategy; wherein, the calcium supplementation treatment after step S2 and before immersion refers to spraying calcium liquid and before the hand mold enters the adhesive liquid.

[0008] As a further limitation of the technical solution of this invention embodiment, the calculation process of the target point calcium deposition bias index includes: after the calcium solution is sprayed in the hand mold area corresponding to the target detection point and before the glue is impregnated, obtaining the calcium solution deposition distribution information of the hand mold area; determining the deposition centroid, deposition boundary and deposition main direction of the actual calcium solution deposition area according to the calcium solution deposition distribution information; calculating the offset of the deposition centroid relative to the target detection point, the boundary position of the target detection point relative to the deposition boundary, and the angle between the deposition main direction and the hand mold running direction or the neighborhood extension direction of the target detection point; and calculating the target point calcium deposition bias index according to the offset, boundary position and angle.

[0009] As a further limitation of the technical solution of this embodiment of the invention, the calculation process of the thickness diffusion smoothness index includes: setting multiple thickness sampling points within a preset neighborhood range with the target detection point as the center; obtaining the thickness value of each thickness sampling point, and generating a neighborhood thickness change sequence according to the distance between each thickness sampling point and the target detection point; calculating the thickness diffusion smoothness index based on at least one of the difference between adjacent thickness values, the slope of the thickness change, or the curvature of the thickness change in the neighborhood thickness change sequence; wherein, the smaller the thickness diffusion smoothness index, the smoother the thickness transition within the neighborhood of the target detection point.

[0010] As a further limitation of the technical solution of this embodiment of the invention, step S4 specifically includes: S41. Gloves produced in multiple production processes with qualified thickness at the target detection point are used as samples, and each sample is sorted from smallest to largest according to the corresponding target point calcium deposition bias index to obtain a sample sequence. S42. Extract the trend of thickness diffusion flatness index change corresponding to the sample sequence; S43. When the thickness diffusion smoothness index shows a trend of first decreasing and then increasing as the target point calcium deposition bias index increases, the bias index range in which the thickness diffusion smoothness index is in the range of the lowest value is determined as the target deposition bias range.

[0011] As a further limitation of the technical solution of the present invention, the calcium injection momentum parameter includes at least one of the injection pressure of the calcium injection nozzle and the nozzle outlet flow velocity. The calcium injection momentum parameter is used to characterize the impact expansion capability of the calcium liquid ejected per unit time on the hand mold area corresponding to the target detection point.

[0012] As a further limitation of the technical solution of this embodiment of the invention, the calcium injection momentum parameter is determined at least by the injection pressure of the calcium injection nozzle; when the calcium deposition bias index of the target point obtained most recently is less than the lower limit of the target deposition bias interval, the calcium injection momentum parameter is increased to improve the deposition expansion of the calcium liquid deposition area relative to the target detection point; when the calcium deposition bias index of the target point obtained most recently is greater than the upper limit of the target deposition bias interval, the calcium injection momentum parameter is decreased to reduce the deposition expansion of the calcium liquid deposition area relative to the target detection point.

[0013] As a further limitation of the technical solution of this embodiment of the invention, in step S5, the calcium injection momentum parameter is iteratively segmented and adjusted; after each adjustment, the target point calcium deposition bias index and thickness diffusion flatness index of the glove obtained by using the adjusted calcium injection momentum parameter are obtained, and the next adjustment direction is determined according to the position of the newly obtained target point calcium deposition bias index relative to the target deposition bias interval, until the target point calcium deposition bias index falls into the target deposition bias interval, or the thickness diffusion flatness index meets the preset flatness condition.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the iterative segmented adjustment includes: determining the number of segmented adjustments and the single-segment adjustment amplitude of the calcium injection momentum parameter based on the bias difference between the calcium deposition bias index of the target point and the boundary of the target deposition bias interval; wherein, the larger the bias difference, the more segmented adjustments are made, and the change in the calcium injection momentum parameter after each segment adjustment does not exceed a preset single-segment change threshold.

[0015] A glove thickness online monitoring and process parameter adjustment system, the system comprising: The calcium supplementation triggering module is used to detect the thickness of gloves made continuously from the same hand mold. When the thickness of the target detection point in the wrist, palm or finger area is mismatched, the preset calcium supplementation strategy is called to perform calcium supplementation on the hand mold area corresponding to the target detection point. The deposition bias acquisition module is used to acquire the target point calcium deposition bias index of the hand mold area corresponding to the target detection point after calcium supplementation and before resin impregnation. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point. The thickness diffusion calculation module is used to obtain the neighborhood thickness distribution centered on the target detection point for gloves made after calcium supplementation and whose target detection point thickness is qualified, and to calculate the thickness diffusion flatness index based on the neighborhood thickness distribution. The target interval determination module is used to determine the target deposition bias interval that minimizes the thickness diffusion smoothness index by using the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes. The jet momentum adjustment module is used to adjust the jet momentum parameters used in the calcium supplementation treatment when the target detection point is subsequently treated with calcium supplementation. This is based on the position of the calcium deposition bias index of the target point relative to the target deposition bias range obtained in the most recent acquisition. The adjustment changes the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and makes the calcium deposition bias index of the target point obtained after the current calcium supplementation treatment approach or fall into the target deposition bias range.

[0016] Compared with the prior art, the present invention has the following beneficial effects: Building upon existing pre-defined calcium supplementation strategies that can restore the thickness of the target detection point to acceptable levels, this invention further addresses the issue of insufficiently smooth thickness transition in the neighborhood of the target detection point within qualified products. By identifying the positional state of the actual calcium liquid deposition area relative to the target detection point and establishing its correspondence with the thickness diffusion smoothness index, this invention can determine the target deposition offset range that results in a better neighborhood thickness transition.

[0017] In subsequent calcium supplementation, the system performs closed-loop correction on the momentum parameters of the calcium injection based on the most recent production results, so that the actual calcium solution deposition area approaches or falls within this range. Therefore, this invention does not simply increase or decrease the amount of calcium supplementation, but rather improves the subtle thickness fluctuations in the surrounding area while ensuring the thickness of the target detection point is within acceptable limits, thereby improving local smoothness, consistency of wearability, and batch stability. Attached Figure Description

[0018] Figure 1 A flowchart of the method provided in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the process of determining the target deposition bias range in the method provided in this embodiment of the invention; Figure 3 The application architecture diagram of the system provided in the embodiments of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0020] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0021] Specifically, a method for online monitoring of glove thickness and adjustment of process parameters includes the following steps: Step S1: Perform thickness detection on gloves made continuously from the same hand mold. When the thickness of the target detection point in the wrist, palm or fingers is mismatched, call the preset calcium supplementation strategy to perform calcium supplementation on the hand mold area corresponding to the target detection point.

[0022] The calcium supplementation process specifically includes: determining a calcium supplementation nozzle or area corresponding to the target detection point based on the glove part to which the target detection point belongs; controlling the calcium supplementation nozzle to spray calcium liquid onto the corresponding hand mold area to form a calcium supplementation liquid film in the hand mold area; after the calcium supplementation liquid film is formed, controlling the hand mold to enter the adhesive liquid for immersion treatment, and adjusting the immersion time, immersion depth, mold lifting speed, or adhesive liquid adhesion amount according to a preset calcium supplementation strategy.

[0023] In this embodiment of the invention, the gloves can be latex gloves, nitrile gloves, PVC gloves, or other gloves formed by hand mold impregnation. In existing glove production lines, thickness testing is typically performed on key areas such as the wrist, palm, and fingers after the gloves are manufactured. Based on the thickness difference at a particular testing point relative to other testing points, it is determined whether that testing point has insufficient thickness or a thickness mismatch. For testing points determined to have a thickness mismatch, existing production control systems typically feed this test result back to the glove-making process stage using the hand mold. Process compensation is performed on the corresponding hand mold area by adjusting the amount of calcium solution applied, impregnation time, impregnation depth, mold lifting speed, or amount of adhesive applied. This method effectively restores the thickness of the subsequently manufactured gloves at that testing point to within the acceptable range and is a relatively mature thickness correction method in current glove production processes.

[0024] This invention is a further improvement based on the aforementioned mature modification method. Long-term production observations have revealed that when gloves produced consecutively from the same hand mold undergo thickness testing at the wrist, palm, and fingers, and calcium supplementation is applied based on the target testing points, the thickness of subsequently produced gloves at the target testing points usually meets the requirements and remains largely consistent with other testing points. However, even when the thickness at the target testing point is acceptable, slight thickness variations may still exist in the adjacent areas extending outward from the target testing point. This difference generally does not lead to the gloves being deemed unqualified, and therefore is usually not further considered in existing production controls. However, from the perspective of local glove smoothness, consistent wearing feel, and batch stability, this slight variation still has room for further optimization.

[0025] Further research revealed that even under the same production line, the same hand mold, and the same pre-set calcium supplementation strategy, gloves produced after different calcium supplementation treatments still exhibited slight differences in the thickness fluctuations near the target detection point. Analysis showed that this difference did not primarily stem from variations in the amount of calcium supplemented, but rather from the position of the actual calcium solution deposition area relative to the target detection point during calcium application. Specifically, since calcium supplementation is typically applied to a localized area of ​​the hand mold corresponding to the target detection point, rather than covering the entire hand mold area, the actual calcium solution deposition area is affected by factors such as nozzle atomization pattern, calcium droplet inertia, micro-vibrations during hand mold operation, instantaneous positional deviation of the hand mold as it passes the calcium supplementation nozzle, the relative angle between the nozzle and the hand mold surface, and local airflow disturbances. This results in slight eccentricity, marginalization, or deposition direction shift of the actual calcium solution deposition area relative to the target detection point.

[0026] The aforementioned offset is usually small in a single production run, insufficient to cause the thickness of the target detection point itself to fail again. However, it will alter the local distribution of calcium solution in the target detection point and its surrounding area. When the actual calcium solution deposition area is too concentrated near the target detection point, the solidification effect near the target detection point is more concentrated, easily causing an abrupt thickness transition outward from the target detection point. When the actual calcium solution deposition area is appropriately offset from the target detection point, the compensation effect at the target detection point and the transition effect in the adjacent area can work well together, making the thickness change around the target detection point smoother. However, when the actual calcium solution deposition area is offset too much from the target detection point, the main area of ​​calcium solution action deviates from the target detection point, increasing the difference in local solidification degree between one side and the other side of the target detection point, which in turn leads to increased thickness fluctuations in the adjacent area. Therefore, provided the thickness of the target detection point is acceptable, the thickness fluctuations in the area surrounding the target detection point will show a trend of first decreasing and then increasing with the degree of offset of the actual calcium solution deposition area from the target detection point, and there is a suitable range for a relatively smooth local thickness transition.

[0027] Based on the above findings, this invention does not replace existing thickness deficiency correction strategies. Instead, it further identifies the appropriate position of the actual calcium liquid deposition area relative to the target detection point, building upon the existing preset calcium supplementation strategy which can already ensure the thickness of the target detection point is within acceptable limits. In subsequent calcium supplementation processing, the calcium injection momentum parameters are adjusted to keep the actual calcium liquid deposition area within this appropriate position, thereby improving the smoothness of the thickness transition in the area adjacent to the target detection point while ensuring the thickness of the target detection point is within acceptable limits.

[0028] Specifically, in step S1, the same hand mold can be numbered or its location tracked on the production line, and the thickness of gloves continuously produced from that hand mold can be measured. The thickness measurement locations include at least the wrist, palm, and fingers. The measurement methods can include laser thickness measurement, visual thickness measurement, ultrasonic thickness measurement, capacitive thickness measurement, or other methods capable of acquiring the local thickness of the glove online. When any measurement point in the wrist, palm, or fingers shows a thickness mismatch relative to a preset thickness range or relative to other measurement points, that measurement point is designated as the target measurement point, and a preset calcium supplementation strategy is applied to supplement calcium into the corresponding hand mold area.

[0029] During calcium supplementation, the corresponding calcium nozzle or area is first determined based on the glove region where the target detection point is located. For example, when the target detection point is on the finger, a calcium nozzle corresponding to the finger mold area is selected; when the target detection point is on the palm, a nozzle corresponding to the palm mold area is selected; and when the target detection point is on the wrist, a nozzle corresponding to the wrist mold area is selected. Then, the calcium nozzle is controlled to spray calcium solution onto the mold area corresponding to the target detection point, forming a calcium solution film in that area. The calcium solution can be a calcium-containing coagulant solution, used to promote the coagulation and adhesion of the adhesive in the corresponding mold area during subsequent impregnation.

[0030] After the calcium-supplemented liquid film is formed, the hand mold is immersed in the adhesive solution for impregnation. The impregnation time, depth, mold lifting speed, or adhesive application amount are adjusted according to a preset calcium-supplementation strategy to ensure that the glove area corresponding to the target detection point reaches the target thickness range after subsequent molding. It should be noted that the calcium-supplementation process described in this embodiment can be understood as including the application of calcium solution and the subsequent impregnation correction process.

[0031] Furthermore, the method for online monitoring of glove thickness and adjustment of process parameters also includes the following steps: Step S2: After calcium supplementation and before adhesive impregnation, obtain the target point calcium deposition bias index for the hand mold area corresponding to the target detection point. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization, or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point. Step S2, "after calcium supplementation and before adhesive impregnation," refers to the period after calcium liquid is sprayed and before the hand mold enters the adhesive. This stage reflects the positional state of the actual calcium liquid deposition area relative to the target detection point, and therefore can serve as a data acquisition opportunity for further optimization of the local thickness transition state.

[0032] The calculation process of the target point calcium deposition bias index includes: after the calcium solution is sprayed in the hand mold area corresponding to the target detection point and before the glue is impregnated, obtaining the calcium solution deposition distribution information of the hand mold area; determining the deposition centroid, deposition boundary, and deposition main direction of the actual calcium solution deposition area based on the calcium solution deposition distribution information; calculating the offset of the deposition centroid relative to the target detection point, the boundary position of the target detection point relative to the deposition boundary, and the angle between the deposition main direction and the hand mold running direction or the neighborhood extension direction of the target detection point; and calculating the target point calcium deposition bias index based on the offset, boundary position, and angle.

[0033] Step S3: For the gloves made after calcium supplementation and with qualified target detection point thickness, obtain the neighborhood thickness distribution centered on the target detection point, and calculate the thickness diffusion flatness index based on the neighborhood thickness distribution.

[0034] The calculation process of the thickness diffusion smoothness index includes: setting multiple thickness sampling points within a preset neighborhood range with the target detection point as the center; obtaining the thickness value of each thickness sampling point, and generating a neighborhood thickness change sequence according to the distance between each thickness sampling point and the target detection point; calculating the thickness diffusion smoothness index based on at least one of the difference between adjacent thickness values, the slope of the thickness change, or the curvature of the thickness change in the neighborhood thickness change sequence; wherein, the smaller the thickness diffusion smoothness index, the smoother the thickness transition within the neighborhood of the target detection point.

[0035] In this embodiment of the invention, the target point calcium deposition bias index is a comprehensive characterization value quantified by the positional state of the actual calcium liquid deposition area relative to the target detection point. This characterization value is not used to determine whether the target detection point needs calcium supplementation, nor is it used to recalculate the amount of calcium supplementation. Rather, it is used to further determine whether the actual calcium liquid deposition area formed after spraying calcium liquid maintains an appropriate positional relationship with the target detection point, based on the fact that the target detection point has already been locally compensated by a preset calcium supplementation strategy. Since the calcium supplementation nozzle is usually set towards the hand mold area corresponding to the target detection point, theoretically the calcium liquid deposition area should have the target detection point as the main center of action. However, in actual production, due to factors such as hand mold conveying micro-vibration, spray cone angle fluctuation, droplet inertia, instantaneous relative position changes between the nozzle and the hand mold surface, and local airflow disturbances, the actual calcium liquid deposition area does not always completely coincide with the target detection point, but will have a certain degree of eccentricity, marginalization, or deposition direction shift.

[0036] To obtain the aforementioned positional status, a calcium liquid deposition distribution detection unit can be installed after the calcium supplementation nozzle and before the glue impregnation station. This calcium liquid deposition distribution detection unit can include at least one of an industrial camera, a linear array camera, an area array camera, a near-infrared detector, a fluorescence detector, or a multispectral detector, and can be used in conjunction with a ring light source, an oblique incident light source, a coaxial light source, or a backlight source to acquire image information of the hand mold area corresponding to the target detection point. For calcium liquids with high transparency or low contrast with the hand mold surface, trace amounts of identifiable tracer components can be added to the calcium liquid without affecting its solidification function and glove forming quality. Alternatively, the actual calcium liquid deposition area can be identified by utilizing the differences in reflection intensity, polarization characteristics, near-infrared absorption characteristics, or fluorescence response between the wetted area of ​​the calcium liquid and the dry area of ​​the hand mold.

[0037] In practical implementation, a hand mold coordinate system can be pre-established, and each detection point in the wrist, palm, and fingers can be mapped to this coordinate system. Once the target detection point is determined, the system captures a local image containing the hand mold region corresponding to the target detection point as the image to be processed when the hand mold passes through the calcium deposition distribution detection unit. After denoising, grayscale correction, background subtraction, and region enhancement processing on the image to be processed, the actual calcium deposition region is extracted based on grayscale threshold segmentation, edge detection, region connectivity analysis, or a machine vision segmentation model to obtain calcium deposition distribution information. This calcium deposition distribution information includes at least the coverage position, coverage area, and morphological orientation of the actual calcium deposition region in the hand mold coordinate system.

[0038] After obtaining the calcium hydrate deposition distribution information, the system calculates the deposition centroid based on the position of each pixel or sampling point in the actual calcium hydrate deposition area, calculates the deposition boundary based on the outer contour of the actual calcium hydrate deposition area, and determines the main deposition direction based on the major axis direction, principal axis of inertia direction, or principal direction of grayscale gradient of the actual calcium hydrate deposition area. Subsequently, the system calculates the offset of the deposition centroid relative to the target detection point, the boundary position of the target detection point relative to the deposition boundary, and the angle between the main deposition direction and the direction of hand mold movement or the extension direction of the target detection point's neighborhood. The offset reflects whether the actual calcium hydrate deposition area deviates from the target detection point; the boundary position reflects whether the target detection point is located in the central region, transition region, or edge region of the actual calcium hydrate deposition area; and the angle reflects whether the main extension direction of the actual calcium hydrate deposition area is consistent with the thickness diffusion direction of the area adjacent to the target detection point.

[0039] In one specific implementation, the offset, boundary position, and included angle can be dimensionlessly processed and fused according to preset weights to obtain the target point calcium deposition offset index. The preset weights can be determined based on the location of the target detection point. For example, the finger region is greatly affected by curvature and finger gaps, so the weights of the boundary position and included angle can be increased; the palm region is relatively flat, so the weight of the deposition center offset can be increased; the wrist region is significantly affected by adhesive dripping, so the weight of the included angle can be adjusted in conjunction with the hand mold's running direction. Thus, the target point calcium deposition offset index can unify the degree of eccentricity, marginalization, and deposition direction offset of the actual calcium deposition area relative to the target detection point into values ​​that are easy to compare and adjust later.

[0040] The thickness diffusion smoothness index in step S3 is a quantitative representation of the degree of thickness undulation in the area adjacent to the target inspection point. This index focuses not on thickness defects in defective products, but rather on the smoothness of the thickness transition in a local area extending outward from the target inspection point in a glove where the thickness at the target inspection point is already within acceptable limits. In other words, even if the thickness at the target inspection point and its adjacent area are within acceptable limits, slight local thickness undulations may still exist between different gloves; the thickness diffusion smoothness index is used to transform these minute differences within the acceptable range into comparable, statistically significant, and adjustable data.

[0041] In practice, a preset neighborhood range can be set within the area where the target detection point is located. This preset neighborhood range can be a circular area, an elliptical area, a fan-shaped area centered on the target detection point, or a strip-shaped area extending along the length or width of the glove. For finger target detection points, multiple thickness sampling points can be set along the fingertip to finger base direction and the finger width direction of the preset neighborhood range; for palm target detection points, multiple thickness sampling points can be set along the palm radial direction or the palm width direction of the preset neighborhood range; for wrist target detection points, multiple thickness sampling points can be set along the wrist circumference or the wrist length direction of the preset neighborhood range. The thickness values ​​of the thickness sampling points can be obtained through laser thickness measurement, visual thickness measurement, ultrasonic thickness measurement, capacitive thickness measurement, or optical contour detection methods.

[0042] After acquiring the thickness values ​​at each thickness sampling point, the system generates a neighborhood thickness variation sequence based on the distance between each thickness sampling point and the target detection point. This neighborhood thickness variation sequence characterizes the thickness change as it extends outward from the target detection point. A large difference between adjacent thickness values ​​indicates abrupt local thickness transitions; a large fluctuation in the thickness variation slope indicates significant thickness undulations in the vicinity of the target detection point; and a large thickness variation curvature indicates frequent changes in the direction of local thickness variation and poor smoothness. Therefore, the thickness diffusion smoothness index can be calculated based on at least one of the differences between adjacent thickness values, the thickness variation slope, or the thickness variation curvature in the neighborhood thickness variation sequence.

[0043] In one specific implementation, the thickness diffusion smoothness index can be determined by the sum of the absolute values ​​of the differences between multiple adjacent thickness values, the variance of multiple thickness change slopes, or the sum of the absolute values ​​of multiple thickness change curvatures. A smaller thickness diffusion smoothness index indicates a smoother transition of thickness from the center to the outside within the neighborhood of the target detection point; a larger index indicates that although the neighborhood of the target detection point does not exceed the acceptable range, there are still relatively obvious local fluctuations. To avoid mistaking normal detection errors for local fluctuations, the thickness values ​​of each thickness sampling point can be filtered before calculating the thickness diffusion smoothness index, or the average of multiple samples can be used as the thickness value of the corresponding thickness sampling point.

[0044] The determination of the target point calcium deposition bias index and the thickness diffusion smoothness index is significant in that they correspond to each other. The former reflects the positional state of the actual calcium solution deposition area relative to the target detection point after calcium supplementation and before resin impregnation, which belongs to the pre-molding process state data; the latter reflects the thickness transition state of the area adjacent to the target detection point in the glove produced after calcium supplementation and with the target detection point thickness qualified, which belongs to the post-molding quality result data. By correlating the above two data in multiple production runs for the same hand mold and the same target detection point, the relationship between the positional state of the actual calcium solution deposition area and the subsequent local thickness transition state can be analyzed.

[0045] Furthermore, since this invention focuses on optimizing the local flatness after the target detection point thickness has met the acceptable level, the differences between thickness diffusion flatness indices are typically small, unlike the large thickness deviations used in traditional thickness detection to determine product quality. Because these differences are small, existing feedback control based on single-point thickness acceptance typically does not address them. This invention, by acquiring the positional state of the actual calcium solution deposition area after calcium supplementation and before resin impregnation, and by acquiring the thickness transition state of the region adjacent to the target detection point during the finished product inspection stage, allows these minute but regular differences to be identified and utilized, thus providing a data basis for subsequently determining the target deposition bias range and adjusting the calcium supplementation injection momentum parameters.

[0046] Furthermore, the method for online monitoring of glove thickness and adjustment of process parameters also includes the following steps: Step S4: Based on the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes, determine the target deposition bias range that minimizes the thickness diffusion smoothness index.

[0047] Specifically, Figure 2 A flowchart for determining the target deposition bias range is shown.

[0048] Step S4 specifically includes the following steps: Step S41: Gloves produced in multiple production processes with qualified thickness at the target detection point are used as samples, and each sample is sorted from smallest to largest according to the corresponding target point calcium deposition bias index to obtain a sample sequence. Step S42: Extract the trend of thickness diffusion smoothness index change corresponding to the sample sequence; Step S43: When the thickness diffusion smoothness index shows a trend of first decreasing and then increasing as the target point calcium deposition bias index increases, the bias index range in which the thickness diffusion smoothness index is within the range of the lowest value is determined as the target deposition bias range.

[0049] In this embodiment of the invention, step S4 is used to determine whether, in the current production line, the current hand mold, and the current target detection point's calcium replenishment feedback situation, there is a usable variation pattern between the position of the actual calcium liquid deposition area relative to the target detection point and the thickness transition state in the vicinity of the subsequent target detection point. Since the conveying stability, nozzle installation status, hand mold surface condition, and adhesive system vary across different production lines, the same pattern is not necessarily observed under all production conditions. Therefore, this embodiment does not directly assume the existence of a target deposition bias interval, but rather identifies it through multiple production data points before determining its existence.

[0050] Specifically, in step S41, the system uses gloves produced in multiple production runs that meet the target detection point thickness requirements as samples. In other words, these samples are not gloves with unacceptable thickness, but rather gloves whose target detection point thickness has met the requirements after being corrected by a preset calcium supplementation strategy. This screening method eliminates abnormal samples where the target detection point thickness is still insufficient or excessive, allowing subsequent analysis to focus on local thickness transition differences within qualified products. For each sample, the system records its corresponding target point calcium deposition bias index and thickness diffusion smoothness index, and sorts them from smallest to largest according to the target point calcium deposition bias index to obtain a sample sequence. This sample sequence can be understood as a data set with the target point calcium deposition bias index as the horizontal variable and the thickness diffusion smoothness index as the vertical variable.

[0051] In step S42, the system extracts the trend of thickness diffusion smoothness index changes based on the sample sequence. Specifically, a data processing module can be used to filter, remove outliers, and perform curve fitting on the sample sequence. The filtering can be a moving average filter, median filter, or weighted average filter; outlier removal can be based on differences between adjacent samples of the calcium deposition bias index at the target point, abnormal jumps in the thickness diffusion smoothness index, or a preset confidence range; the curve fitting can employ piecewise linear fitting, polynomial fitting, spline fitting, or locally weighted regression fitting. Through these processes, the impact of online detection errors, occasional spraying disturbances, or individual glove demolding deformation on trend identification can be reduced, thereby obtaining a curve that reflects the overall relationship of changes in the sample sequence.

[0052] In one specific implementation, the system can divide the calcium deposition bias index of the target point into multiple continuous intervals, and calculate the average or median of the thickness diffusion smoothness index of multiple samples within each continuous interval to obtain the interval smoothness value; then, a change curve is generated based on the interval smoothness value corresponding to each continuous interval. Compared with directly using a single sample point, using interval statistical values ​​is more suitable for the subtle difference scenarios that this invention focuses on, avoiding misjudgments of the change trend due to detection errors of a single sample.

[0053] In step S43, the system identifies the changing trend. When the thickness diffusion smoothness index shows a trend of first decreasing and then increasing with the increase of the calcium deposition offset index at the target point, it indicates that the offset of the actual calcium liquid deposition area relative to the target detection point is neither better the smaller it is, nor better the larger it is. Instead, there exists a suitable range that allows for a relatively smooth thickness transition within the neighborhood of the target detection point. The reason is that when the actual calcium solution deposition area is too centrally located relative to the target detection point, the main solidification effect of the calcium solution is concentrated near the target detection point. Although this can ensure that the thickness of the target detection point reaches the acceptable range, a relatively concentrated solidification difference is easily formed between the target detection point and its neighboring areas, resulting in a more obvious gradient change in thickness when transitioning from the target detection point outwards. When the actual calcium solution deposition area is appropriately offset from the target detection point, the target detection point is located between the central action area and the edge transition area of ​​the actual calcium solution deposition area. The compensation effect of the calcium solution on the target detection point and the transition effect on the neighboring areas can form a better connection, making the thickness change in the vicinity of the target detection point smoother. When the actual calcium solution deposition area is offset too much from the target detection point, the main action area of ​​the calcium solution deviates from the target detection point, and the difference in solidification degree between the two sides of the target detection point or between the target detection point and its neighboring areas increases, causing the thickness transition to become uneven again.

[0054] In specific identification, the lowest point or local lowest segment in the change curve can be used as a candidate turning point. It is then determined whether the thickness diffusion smoothness index to the left of the candidate turning point shows an overall downward trend, and whether the thickness diffusion smoothness index to the right of the candidate turning point shows an overall upward trend. When both the downward trend on the left and the upward trend on the right meet the preset trend judgment conditions, the change trend is determined to conform to the rule of first decreasing and then increasing.

[0055] The preset trend determination conditions may include: the overall slope of the thickness diffusion smoothness index is negative in at least a preset number of consecutive intervals to the left of the candidate turning point; the overall slope of the thickness diffusion smoothness index is positive in at least a preset number of consecutive intervals to the right of the candidate turning point; the thickness diffusion smoothness index corresponding to the candidate turning point is lower than the thickness diffusion smoothness index of the intervals on both sides; and the difference between the candidate turning point and the intervals on both sides is greater than a preset minimum effective difference. By setting the above conditions, random fluctuations can be avoided from being misidentified as target deposition bias intervals.

[0056] After determining that there is a trend of first decreasing and then increasing, the system defines the bias index range near the minimum value of the thickness diffusion smoothness index as the target deposition bias range. The range near the minimum value can be determined based on the minimum thickness diffusion smoothness index and a preset tolerance. For example, a continuous bias index range not exceeding the minimum thickness diffusion smoothness index plus the preset tolerance can be used as the target deposition bias range; alternatively, it can be determined based on the continuous low-value ranges on both sides of the sample point corresponding to the minimum thickness diffusion smoothness index. Therefore, the target deposition bias range is not a single numerical point, but rather a range that allows for normal, minor fluctuations in actual production, better meeting the control requirements of continuous production lines.

[0057] When the system fails to identify a trend of initial decrease followed by increase in the thickness diffusion smoothness index as the target point calcium deposition bias index increases, or when it cannot obtain a target deposition bias range that meets the preset requirements, the system will not perform subsequent optimization of the calcium injection momentum parameters for that target deposition bias range. In this case, the production line will continue normal production and thickness correction according to the preset calcium deposition strategy, or continue collecting subsequent samples to update the sample sequence. This setting aims to avoid forcibly performing secondary optimization when the pattern is unclear or the data support is insufficient, thereby preventing unnecessary interference with the already mature preset calcium deposition strategy.

[0058] The significance of determining the target deposition bias range lies in establishing a correspondence between the process state data after calcium supplementation and before impregnation, and the local quality results data of the gloves produced after calcium supplementation with acceptable thickness at the target detection point. Through this range, the system can clearly determine the position of the actual calcium solution deposition area relative to the target detection point, at which the thickness transition within the neighborhood of the target detection point is smoother. In subsequent steps, the adjustment of the calcium injection momentum parameters is no longer solely based on whether the thickness at the target detection point is acceptable. Instead, based on the acceptable thickness at the target detection point, the goal is to make the actual calcium solution deposition area as close as possible to or fall within the target deposition bias range, thereby further improving the local smoothness and batch consistency within the qualified product.

[0059] Furthermore, the method for online monitoring of glove thickness and adjustment of process parameters also includes the following steps: Step S5: When performing calcium supplementation treatment on the target detection point in the subsequent process, adjust the calcium injection momentum parameters used in this calcium supplementation treatment according to the position of the calcium deposition bias index of the target point obtained in the most recent acquisition relative to the target deposition bias range. This will change the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and make the calcium deposition bias index of the target point obtained after this calcium supplementation treatment approach or fall into the target deposition bias range.

[0060] The calcium injection momentum parameter includes at least one of the injection pressure of the calcium injection nozzle and the nozzle outlet flow velocity. The calcium injection momentum parameter is used to characterize the impact expansion capability of the calcium liquid ejected per unit time on the hand mold area corresponding to the target detection point.

[0061] The calcium injection momentum parameter is determined at least by the injection pressure of the calcium injection nozzle. When the calcium deposition bias index of the most recently acquired target point is less than the lower limit of the target deposition bias interval, the calcium injection momentum parameter is increased to improve the deposition expansion of the calcium liquid deposition area relative to the target detection point. When the calcium deposition bias index of the most recently acquired target point is greater than the upper limit of the target deposition bias interval, the calcium injection momentum parameter is decreased to reduce the deposition expansion of the calcium liquid deposition area relative to the target detection point.

[0062] In step S5, the calcium injection momentum parameters are iteratively adjusted in segments. After each adjustment, the target point calcium deposition bias index and thickness diffusion smoothness index of the glove are obtained using the adjusted calcium injection momentum parameters. Based on the position of the newly obtained target point calcium deposition bias index relative to the target deposition bias range, the direction of the next adjustment is determined until the target point calcium deposition bias index falls into the target deposition bias range, or the thickness diffusion smoothness index meets the preset smoothness conditions.

[0063] The iterative segmented adjustment includes: determining the number of segmented adjustments and the single-segment adjustment amplitude of the calcium injection momentum parameter based on the offset difference between the target point calcium deposition offset index and the boundary of the target deposition offset interval; wherein, the larger the offset difference, the more segmented adjustments are made, and the change in calcium injection momentum parameter after each segment adjustment does not exceed a preset single-segment change threshold.

[0064] In this embodiment of the invention, step S5 is used to perform closed-loop optimization of subsequent calcium supplementation processing after the target deposition bias range has been determined. Since the nozzle state, calcium solution state, hand mold running state, and local airflow state corresponding to adjacent gloves are usually quite similar in continuous production, the most recently acquired target point calcium deposition bias index can better reflect the actual state of the current calcium supplementation process. Based on this, the system determines whether the current position of the actual calcium solution deposition area relative to the target detection point deviates from the target deposition bias range, and performs pre-correction for subsequent ongoing or yet-to-be-performed calcium supplementation processing.

[0065] In this embodiment, the preferred adjustment is the calcium injection momentum parameter, which includes at least one of the injection pressure of the calcium injection nozzle and the nozzle outlet velocity. The injection pressure or nozzle outlet velocity affects the impact strength and spreading range of the calcium liquid droplets upon reaching the hand mold surface. When the calcium injection momentum parameter is small, the calcium liquid deposition area is relatively concentrated, and the deposition expansion is low; when the calcium injection momentum parameter is large, the impact expansion capability of the calcium liquid on the hand mold surface is enhanced, and the deposition area will moderately expand towards the target detection point. Therefore, by adjusting the calcium injection momentum parameter, the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point can be changed, causing the calcium deposition bias index of the target point to approach or fall within the target deposition bias range.

[0066] Specifically, when the most recently acquired calcium deposition bias index of the target point is less than the lower limit of the target deposition bias interval, it indicates that the actual calcium deposition area's offset or expansion relative to the target detection point is insufficient. The system increases the calcium injection momentum parameter to improve the deposition expansion of the calcium deposition area. Conversely, when the most recently acquired calcium deposition bias index of the target point is greater than the upper limit of the target deposition bias interval, it indicates that the actual calcium deposition area's offset or expansion relative to the target detection point is too large. The system decreases the calcium injection momentum parameter to reduce the deposition expansion of the calcium deposition area. This gradually brings the actual calcium deposition area closer to the position corresponding to the target deposition bias interval.

[0067] To avoid over-adjustment due to excessive adjustment in a single step, this embodiment employs iterative segmented adjustment. The system determines the number of segments and the amplitude of each segment adjustment based on the offset difference between the target point's calcium deposition offset index and the boundary of the target deposition offset interval. A larger offset difference results in more segment adjustments, but the change in calcium injection momentum parameters after each adjustment does not exceed a preset single-segment change threshold. After each adjustment, the system re-acquires the target point's calcium deposition offset index and thickness diffusion smoothness index, and determines the direction of the next adjustment based on the re-acquired results, until the target point's calcium deposition offset index falls within the target deposition offset interval, or the thickness diffusion smoothness index meets the preset smoothness conditions.

[0068] For example, on a nitrile glove production line, the target deposition bias range for the palm-side target detection point is 41 to 56. The most recently obtained target point calcium deposition bias index is 33, lower than the lower limit of 41. The system judges that the deposition expansion is insufficient, so the injection pressure of the calcium injection nozzle is increased from 0.20 MPa to 0.21 MPa. The next detection shows a target point calcium deposition bias index of 38, still below the target deposition bias range, so the system continues to increase the injection pressure to 0.215 MPa. Subsequently, the target point calcium deposition bias index is detected at 45, which has fallen into the target deposition bias range, and the thickness diffusion flatness index has decreased from 4.4 micrometers to 2.5 micrometers, so the system stops further adjustment.

[0069] When adjusting the momentum parameters of the calcium injection, it is preferable to keep the total amount of calcium solution applied in a single calcium injection treatment within a preset calcium injection range. For example, when the injection pressure increases, the nozzle opening time can be appropriately shortened; when the injection pressure decreases, the nozzle opening time can be appropriately extended. This avoids interpreting the optimization of this embodiment as simply increasing or decreasing the amount of calcium injection, but rather as optimizing the thickness transition state of the neighborhood of the target detection point by changing the calcium solution deposition morphology.

[0070] After each segmented adjustment of the calcium injection momentum parameters, the system also records the target point calcium deposition bias index before adjustment, the change in calcium injection momentum parameters after adjustment, the newly acquired target point calcium deposition bias index, and the thickness diffusion smoothness index, forming an adjustment record corresponding to the current target detection point. When the same or similar target point calcium deposition bias index deviation occurs again in subsequent production, the system can prioritize calling the verified and effective changes in calcium injection momentum parameters in the adjustment record, without having to start trying again from the initial adjustment range, thereby improving the response speed of closed-loop adjustment.

[0071] It should be noted that the glove corresponding to the most recently acquired target point calcium deposition bias index may still have slight differences from the glove currently undergoing or about to undergo calcium deposition treatment, due to factors such as the instantaneous position of the hand mold, the spray state, or local airflow disturbances. However, under continuous production conditions, the process states of adjacent production cycles are usually continuous, and these slight differences will not change the trend guidance role of the most recently acquired data for the current calcium deposition treatment. Therefore, in this embodiment, when correcting the calcium injection momentum parameters, the most recently acquired target point calcium deposition bias index is used as an approximate feedback basis for the current calcium deposition state, and subsequent corrections are made using re-acquired data to avoid cumulative errors caused by a single approximation.

[0072] Through the above methods, this invention, while retaining the preset calcium supplementation strategy to correct for thickness mismatch at target detection points, further solves the problem of insufficiently smooth thickness transition in the vicinity of target detection points in qualified products. Its beneficial effects include: reducing local thickness fluctuations within the qualified range, improving the flatness of the area surrounding the target detection point, consistency of wearing feel, and batch stability; and is suitable for automated production lines of dipped and molded gloves such as latex gloves, nitrile gloves, and PVC gloves.

[0073] Furthermore, Figure 3 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0074] In another preferred embodiment of the present invention, a glove thickness online monitoring and process parameter adjustment system includes: The calcium supplementation trigger processing module 100 is used to detect the thickness of gloves made continuously from the same hand mold. When the thickness of the target detection point in the wrist, palm or fingers is mismatched, the preset calcium supplementation strategy is called to perform calcium supplementation processing on the hand mold area corresponding to the target detection point.

[0075] Furthermore, the online glove thickness monitoring and process parameter adjustment system also includes: The deposition bias acquisition module 200 is used to acquire the target point calcium deposition bias index of the hand mold area corresponding to the target detection point after calcium supplementation and before resin impregnation. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point.

[0076] Furthermore, the online glove thickness monitoring and process parameter adjustment system also includes: The thickness diffusion calculation module 300 is used to obtain the neighborhood thickness distribution centered on the target detection point for gloves made after calcium supplementation and whose target detection point thickness is qualified, and to calculate the thickness diffusion flatness index based on the neighborhood thickness distribution.

[0077] Furthermore, the online glove thickness monitoring and process parameter adjustment system also includes: The target interval determination module 400 is used to determine the target deposition bias interval that minimizes the thickness diffusion smoothness index based on the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes.

[0078] Furthermore, the online glove thickness monitoring and process parameter adjustment system also includes: The jet momentum adjustment module 500 is used to adjust the jet momentum parameters used in the current calcium supplementation treatment when the target detection point is subsequently treated with calcium supplementation. This is done based on the position of the calcium deposition bias index of the target point relative to the target deposition bias range obtained in the most recent acquisition. The adjustment changes the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and makes the calcium deposition bias index of the target point obtained after the current calcium supplementation treatment approach or fall into the target deposition bias range.

[0079] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0080] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0081] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0082] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0083] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for online monitoring of glove thickness and adjustment of process parameters, characterized in that, The method includes: S1. Perform thickness detection on gloves made continuously from the same hand mold. When the thickness of the target detection point in the wrist, palm or finger area is mismatched, call the preset calcium supplementation strategy to perform calcium supplementation on the hand mold area corresponding to the target detection point. S2. After calcium supplementation and before resin impregnation, obtain the target point calcium deposition bias index of the hand mold area corresponding to the target detection point. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point. S3. For gloves made after calcium supplementation and with qualified target test point thickness, obtain the neighborhood thickness distribution centered on the target test point, and calculate the thickness diffusion flatness index based on the neighborhood thickness distribution. S4. Based on the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes, determine the target deposition bias range that minimizes the thickness diffusion smoothness index. S5. When performing calcium supplementation treatment on the target detection point in the subsequent process, adjust the calcium injection momentum parameters used in this calcium supplementation treatment according to the position of the calcium deposition bias index of the target point obtained in the most recent acquisition relative to the target deposition bias range. This will change the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and make the calcium deposition bias index of the target point obtained after this calcium supplementation treatment approach or fall into the target deposition bias range.

2. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 1, characterized in that, The calcium supplementation process specifically includes: determining a calcium supplementation nozzle or area corresponding to the target detection point based on the glove part to which the target detection point belongs; controlling the calcium supplementation nozzle to spray calcium liquid onto the corresponding hand mold area to form a calcium liquid film in the hand mold area; after the calcium liquid film is formed, controlling the hand mold to enter the adhesive for immersion treatment, and adjusting the immersion time, immersion depth, mold lifting speed, or adhesive adhesion amount according to a preset calcium supplementation strategy; wherein, the calcium supplementation process after step S2 and before immersion refers to spraying calcium liquid and before the hand mold enters the adhesive.

3. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 1, characterized in that, The calculation process of the target point calcium deposition bias index includes: after the calcium solution is sprayed in the hand mold area corresponding to the target detection point and before the glue is impregnated, obtaining the calcium solution deposition distribution information of the hand mold area; determining the deposition centroid, deposition boundary, and deposition main direction of the actual calcium solution deposition area based on the calcium solution deposition distribution information; calculating the offset of the deposition centroid relative to the target detection point, the boundary position of the target detection point relative to the deposition boundary, and the angle between the deposition main direction and the hand mold running direction or the neighborhood extension direction of the target detection point; and calculating the target point calcium deposition bias index based on the offset, boundary position, and angle.

4. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 1, characterized in that, The calculation process of the thickness diffusion smoothness index includes: setting multiple thickness sampling points within a preset neighborhood range with the target detection point as the center; obtaining the thickness value of each thickness sampling point, and generating a neighborhood thickness change sequence according to the distance between each thickness sampling point and the target detection point; calculating the thickness diffusion smoothness index based on at least one of the difference between adjacent thickness values, the slope of the thickness change, or the curvature of the thickness change in the neighborhood thickness change sequence; wherein, the smaller the thickness diffusion smoothness index, the smoother the thickness transition within the neighborhood of the target detection point.

5. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 1, characterized in that, Step S4 specifically includes: S41. Gloves produced in multiple production processes with qualified thickness at the target detection point are used as samples, and each sample is sorted from smallest to largest according to the corresponding target point calcium deposition bias index to obtain a sample sequence. S42. Extract the trend of thickness diffusion flatness index change corresponding to the sample sequence; S43. When the thickness diffusion smoothness index shows a trend of first decreasing and then increasing as the target point calcium deposition bias index increases, the bias index range in which the thickness diffusion smoothness index is in the range of the lowest value is determined as the target deposition bias range.

6. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 1, characterized in that, The calcium injection momentum parameter includes at least one of the injection pressure of the calcium injection nozzle and the nozzle outlet flow velocity. The calcium injection momentum parameter is used to characterize the impact expansion capability of the calcium liquid ejected per unit time on the hand mold area corresponding to the target detection point.

7. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 6, characterized in that, The calcium injection momentum parameter is determined at least by the injection pressure of the calcium injection nozzle; when the calcium deposition bias index of the target point acquired most recently is less than the lower limit of the target deposition bias range, the calcium injection momentum parameter is increased to improve the deposition expansion of the calcium liquid deposition area relative to the target detection point. When the most recently acquired target point calcium deposition bias index is greater than the upper limit of the target deposition bias range, the calcium injection momentum parameter is reduced to decrease the deposition expansion of the calcium liquid deposition area relative to the target detection point.

8. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 7, characterized in that, In step S5, the calcium injection momentum parameters are iteratively adjusted in segments. After each adjustment, the target point calcium deposition bias index and thickness diffusion smoothness index of the glove are obtained using the adjusted calcium injection momentum parameters. Based on the position of the newly obtained target point calcium deposition bias index relative to the target deposition bias range, the direction of the next adjustment is determined until the target point calcium deposition bias index falls into the target deposition bias range, or the thickness diffusion smoothness index meets the preset smoothness conditions.

9. The method for online monitoring of glove thickness and adjustment of process parameters according to claim 8, characterized in that, The iterative segmented adjustment includes: determining the number of segmented adjustments and the single-segment adjustment amplitude of the calcium injection momentum parameter based on the offset difference between the target point calcium deposition offset index and the boundary of the target deposition offset interval; wherein, the larger the offset difference, the more segmented adjustments are made, and the change in calcium injection momentum parameter after each segment adjustment does not exceed a preset single-segment change threshold.

10. A glove thickness online monitoring and process parameter adjustment system, characterized in that, The system includes: The calcium supplementation triggering module is used to detect the thickness of gloves made continuously from the same hand mold. When the thickness of the target detection point in the wrist, palm or finger area is mismatched, the preset calcium supplementation strategy is called to perform calcium supplementation on the hand mold area corresponding to the target detection point. The deposition bias acquisition module is used to acquire the target point calcium deposition bias index of the hand mold area corresponding to the target detection point after calcium supplementation and before resin impregnation. The target point calcium deposition bias index is used to characterize the degree of eccentricity, marginalization or deposition direction offset of the actual calcium liquid deposition area relative to the target detection point. The thickness diffusion calculation module is used to obtain the neighborhood thickness distribution centered on the target detection point for gloves made after calcium supplementation and whose target detection point thickness is qualified, and to calculate the thickness diffusion flatness index based on the neighborhood thickness distribution. The target interval determination module is used to determine the target deposition bias interval that minimizes the thickness diffusion smoothness index by using the target point calcium deposition bias index and thickness diffusion smoothness index obtained from multiple production processes. The jet momentum adjustment module is used to adjust the jet momentum parameters used in the calcium supplementation treatment when the target detection point is subsequently treated with calcium supplementation. This is based on the position of the calcium deposition bias index of the target point relative to the target deposition bias range obtained in the most recent acquisition. The adjustment changes the degree of eccentricity, marginalization, or deposition expansion of the actual calcium liquid deposition area relative to the target detection point, and makes the calcium deposition bias index of the target point obtained after the current calcium supplementation treatment approach or fall into the target deposition bias range.

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