Device and method for detecting woven gloves before glue injection

Abstract

The invention relates to the technical field of quality detection of glue injection woven gloves, in particular to a detection device and a detection method for woven gloves before glue injection, and the detection method comprises the following steps: acquiring first driving force and first driving direction data of a plurality of clamping structures in a seam area needing to be stretched; analyzing the sunken length of the second subarea in the crack area, and dividing the second subarea of which the defect cannot be completely detected; second driving force and second driving direction data of the multiple clamping structures for completing the wrinkle degree needing to be set are sequentially obtained; according to the method, non-stop detection is carried out on each glove on a production line, meanwhile, the defect appearing condition is increased through a detection method of properly increasing the wrinkle degree, whether the yarn turning condition possibly occurs in a crack area of the target woven glove under the wrinkle condition or not is detected, and the detection accuracy is improved. And the glove plane is adjusted by utilizing opposite driving force, so that the flaw detection accuracy and the working efficiency are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of quality inspection technology for glued knitted gloves, and in particular to a device and method for inspecting knitted gloves before glue injection. Background Technology

[0002] In the glove manufacturing industry, knitted gloves are widely used due to their excellent basic flexibility. To further enhance their protective performance, such as slip resistance, oil resistance, and puncture resistance, a polymer coating is usually applied to the surface of the knitted glove, thus creating a work glove that combines flexibility and functionality. In the injection molding process, the knitted glove must first be placed on a hand mold of a specific shape to form a fixed three-dimensional form, facilitating subsequent processes such as impregnation, dispensing, and vulcanization.

[0003] While existing technology includes quality inspection equipment capable of detecting defects on the surface of knitted gloves, it suffers from a high rate of missed detection for minor flaws such as tiny yarn breaks or holes. These undetected defects are permanently covered after the subsequent glue-applying process, creating potential quality risks. Even with multi-angle monitoring equipment and a fully rotating mold mechanism, there is still a possibility of missed detection due to blind spots created by recesses in the seams or the inner edges of the knitted glove. Furthermore, increasing the number of times defects may appear in different locations on the knitted glove inevitably reduces the efficiency of the process flow, significantly increasing the difficulty of subsequent wrinkle restoration and glue-applying processes.

[0004] Therefore, it is necessary to design a pre-glue injection testing device and method for knitted gloves with strong glove defect detection capabilities and high operating efficiency. Summary of the Invention

[0005] The purpose of this invention is to solve the problems existing in the prior art by proposing a detection device and method for pre-glue injection of knitted gloves.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A method for testing knitted gloves before glue injection, comprising:

[0008] Step S1: After the mold is put into the knitted glove, retrieve the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, and obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area.

[0009] Step S2: Obtain the first zone in the gap area where defects can be completely detected, set multiple reference lights with different positions and illumination directions, and detect the length data of the reference lights mapped onto the gap area through the camera, divide the second zone where defects cannot be completely detected, and analyze the indentation length of the second zone in the gap area.

[0010] Step S3: Based on the types of defects that may appear in different areas within the second partition, analyze the degree of wrinkling required to ensure that the defects in different areas of the second partition can be completely detected, and sequentially obtain the second driving force and second driving direction data of the multiple clamping structures that complete the required degree of wrinkling.

[0011] Step S4: Optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the multiple clamping structures. The mold receives the third driving force and third driving direction data and performs defect detection in the clamping area.

[0012] According to the above technical solution, preferably, step S1 further includes:

[0013] Based on the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, the line trajectories connecting the multiple clamping structures and the corresponding nodes in the seam area of ​​the knitted glove are marked respectively. The target positions of the nodes in the seam area of ​​the knitted glove are marked on the multiple clamping structures. The nodes are the initial points where the knitted glove seam area is shifted after being subjected to external force.

[0014] Based on the current position of the node within the seam area of ​​the knitted glove, the first driving force and first driving direction data executed by the corresponding clamping structure on the connecting track are obtained based on the deviation between the current position and the target position.

[0015] According to the above technical solution, preferably, step S2 includes:

[0016] Step S21: Connect the edge lines of the knitted glove sequentially through the current position of the node, define the area range of the seam region, and obtain the area range of the first partition in the seam region where defects can be completely detected through the camera, and mark the remaining area in the seam region;

[0017] Step S22: Set a recessed area outside the edge line of the first partition, set the recessed length of the recessed area in sequence, and combine the remaining area in the gap area with the recessed area to divide it into the second partition.

[0018] According to the above technical solution, preferably, the analysis of the indentation length of the second partition within the gap region includes:

[0019] The camera was used to sequentially acquire the mapping length of the reference light rays from each different angle onto the slit region, and the indentation length of the second partition was detected as follows. Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The reference ray represents the corresponding angle value between the reference ray and the gap region, and k represents the number of reference rays.

[0020] According to the above technical solution, preferably, in step S3, the second driving direction of the plurality of clamping structures is opposite to the first driving direction.

[0021] According to the above technical solution, preferably, step S3 includes:

[0022] Based on the indentation length of the second partition, the size of the wrinkles in the currently undetectable defect area is determined. The analysis is conducted to determine the additional wrinkle height required to re-detect the previously undetectable defect area under the current recognition environment. The additional wrinkle height is related to the types of defects that may appear in the undetectable defect area.

[0023] According to the above technical solution, preferably, step S4 includes:

[0024] Repeat step S1 to obtain the required stretching driving force and driving direction data. Determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove. Determine whether the total actual driving force power of the multiple clamping structures is less than or equal to the total preset operating power of the multiple clamping structures within the global time. If not, adjust the second driving force and second driving direction data synchronously based on the operating efficiency of the multiple clamping structures. Obtain the third driving force and third driving direction data of the multiple clamping structures after the plane of the seam area is flattened again.

[0025] According to the above technical solution, preferably, a pre-glue injection testing device for knitted gloves includes:

[0026] A data acquisition device is used to retrieve positional relationship data between multiple clamping structures inside the mold and the seam area of ​​the knitted glove after the mold is fitted into the knitted glove; obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area; obtain a first zone in the seam area where defects can be completely detected; set multiple reference lights with different positions and illumination directions and detect the length data of the reference lights mapped onto the seam area through a camera; divide a second zone where defects cannot be completely detected; and analyze the indentation length of the second zone in the seam area.

[0027] A defect detection device is used to analyze the degree of wrinkling required to completely detect the defects in different areas of the second partition according to the types of defects that may occur in different areas of the second partition, and to sequentially acquire the second driving force and second driving direction data of the plurality of clamping structures that complete the required degree of wrinkling.

[0028] A data output device is used to optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the plurality of clamping structures. The mold receives the third driving force and third driving direction data to perform defect detection in the gap area.

[0029] According to the above technical solution, preferably, the data acquisition device includes:

[0030] The database information retrieval terminal, the database data acquisition device is used to obtain the reference mapping length of light rays at a corresponding angle onto any plane of the knitted glove in the database; obtain the positional relationship data between multiple clamping structures in the mold and the seam area of ​​the knitted glove; and determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove.

[0031] The detection device information acquisition terminal is used to acquire the area range of the first zone in the gap area where defects can be completely detected through a camera; and to retrieve the mapping length of the reference light at each different angle onto the gap area by the camera.

[0032] According to the above technical solution, preferably, the defect detection device includes:

[0033] The first driving detection device is used to mark the line trajectories connecting the plurality of clamping structures and the nodes in the corresponding seam area of ​​the knitted glove, and to mark the target positions of the nodes in the seam area of ​​the knitted glove on the plurality of clamping structures. The nodes are the initial points at which the knitted glove seam area is shifted after being subjected to external force.

[0034] The second drive detection device is used to obtain, based on the current position of a node within the seam area of ​​the knitted glove and the deviation between the current position and the target position, the first driving force and the first driving direction data executed by the corresponding clamping structure on the connecting track; to sequentially connect the edge lines of the knitted glove through the current positions of the nodes, defining the area range of the seam area, and marking the remaining area within the seam area; to set a recessed area outside the edge line of the first partition area, and to sequentially set the recessed length of the recessed areas, combining the remaining area within the seam area with the recessed areas to divide it into the second partition; the detected recessed length of the second partition is... Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The corresponding angle values ​​between the reference light and the gap area are different, and k is the number of reference light settings. Based on the concave length of the second partition, the size of the wrinkles in the defect area that cannot be completely detected is determined. The wrinkle height that needs to be increased to make the defect area that could not be completely detected be re-detected under the current recognition environment is analyzed. The wrinkle height that needs to be increased is related to the type of defect that may appear in the defect area that cannot be completely detected. The second driving direction of the multiple clamping structures is opposite to the first driving direction.

[0035] The third drive detection device is used to re-execute the running data stored in the first drive detection device, obtain the required stretching drive force and drive direction data, determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove, determine whether the actual total power of the multiple clamping structures within the global time is less than or equal to the total preset power of the multiple clamping structures, and if not, adjust the second drive force and second drive direction data synchronously based on the operating efficiency of the multiple clamping structures, and obtain the third drive force and third drive direction data of the multiple clamping structures after the plane of the seam area is flattened again.

[0036] The beneficial effects of this invention are as follows:

[0037] 1. Product Quality Dimension: Every glove on the production line is inspected without stopping the machine. At the same time, by appropriately increasing the detection method of wrinkles, the defects are made more visible, and the multi-angle detection coverage is maximized. This allows the precision algorithm to maximize its detection capabilities to determine defects and classify defect types, ensuring the objectivity and consistency of defect judgment, improving the precision of quality control, providing accurate data input for process improvement, and accurately intercepting blank gloves with defects such as yarn flipping before glue injection, further improving the pass rate of blank gloves entering the glue injection process;

[0038] 2. Production Line Operation Efficiency: Industrial cameras, in conjunction with high-speed cameras, perform image processing to achieve fully automated integration and automatic rejection of defective products. This enables seamless automation from inspection to diversion, reducing production downtime. Quality inspection equipment focuses on processing gaps, especially the web area, rather than the entire glove surface, significantly reducing the operational load on the areas to be inspected and shortening inspection time. Simultaneously, it can detect common problems in raw yarns or weaving machines early, providing timely warnings and reducing unplanned downtime.

[0039] 3. Cost Control Dimension: Directly saves huge material costs. Defective preforms are removed before glue application, directly saving glue, solvents, and additives that would otherwise be wasted on defective products. This avoids the costs of rework, disassembly, or downgrading caused by discovering problems at the finished product stage. Optimize processes and preventatively reduce costs. The defect data maps generated by the system can guide process engineers to accurately adjust parameters such as the tension and speed of the weaving machine, reducing the defect rate at its source and achieving preventative cost control.

[0040] 4. Data Intelligence Dimension: The entire production process is digitally monitored, and the inspection images, results, and timestamps of each glove are recorded and stored in real time to form a complete and traceable quality archive. In-depth quality analysis reports are generated, and the real-time occurrence rate and trend of each defect type are automatically calculated to achieve predictive maintenance. By analyzing abnormal fluctuations in the defect rate, the potential wear of specific needles or parts of the knitting machine can be warned, changing "post-failure maintenance" to "predictive maintenance", reducing major downtime losses, and accumulating big data on defects over a long period of time to provide valuable test data for subsequent improvement of glove pattern design, optimization of yarn selection, and formulation of new process standards.

[0041] 5. Management Upgrade and Strategic Dimension: Achieve transparent management of the production process, enabling remote real-time monitoring of production line quality status, defect alarms, and output achievement, thus achieving transparent and refined management, responding to stricter environmental and safety regulations, and reducing the environmental pressure caused by rubber waste and subsequent processing. Attached Figure Description

[0042] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0043] Figure 1 This is a flowchart of a method for testing knitted gloves before glue injection, as described in this invention.

[0044] Figure 2 This is a schematic diagram of the device configuration of a pre-glue injection testing device for knitted gloves according to the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. It should be noted that, unless otherwise expressly specified and limited, the terms "installation", "fixing", and "connection" should be interpreted broadly. For those skilled in the art, the specific meaning of the above terms in this patent can be understood according to the specific circumstances.

[0046] Please see Figure 1-2 The diagram below illustrates a structural design of a pre-glue injection testing device and method for knitted gloves, as provided in an embodiment of the present invention. Figure 1 It is understood that the aforementioned method for testing knitted gloves before glue injection includes:

[0047] Step S1: After the mold is put into the knitted glove, retrieve the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, and obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area. The first driving force and first driving direction data are the minimum driving force and optimal driving direction required to stretch the seam area so that the glove surface in the seam area is flat and meets the process requirements.

[0048] Step S2: Obtain the first zone in the gap area where defects can be completely detected, set multiple reference lights with different positions and illumination directions, and detect the length data of the reference lights mapped onto the gap area through the camera, divide the second zone where defects cannot be completely detected, and analyze the indentation length of the second zone in the gap area.

[0049] Step S3: Based on the types of defects that may appear in different areas within the second partition, analyze the degree of wrinkling required to ensure that the defects in different areas of the second partition can be completely detected, and sequentially obtain the second driving force and second driving direction data of the multiple clamping structures that complete the required degree of wrinkling.

[0050] Step S4: Optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the multiple clamping structures. The mold receives the third driving force and third driving direction data and performs defect detection in the clamping area.

[0051] In embodiments of the present invention, each glove on the production line is inspected without stopping the machine. By appropriately increasing the detection of wrinkles, the visibility of defects is enhanced, maximizing multi-angle detection coverage. This allows the precision algorithm to maximize its detection capabilities to determine defects and classify defect types, effectively improving the accuracy of defect detection. By detecting whether yarn flipping may occur in the seam area of ​​the target knitted glove under wrinkled conditions, the glove plane is adjusted using the opposite driving force. This simultaneously considers the adjustment of wrinkle size and the difficulty of subsequent wrinkle restoration work, minimizing the decrease in work efficiency.

[0052] In some preferred embodiments, step S1 further includes:

[0053] Based on the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, the line trajectories connecting the multiple clamping structures and the corresponding nodes in the seam area of ​​the knitted glove are marked respectively. The target positions of the nodes in the seam area of ​​the knitted glove are marked on the multiple clamping structures. The node is the initial point of the knitted glove seam area after being subjected to external force, which causes the positional displacement and drives other positions near the initial point to move.

[0054] Based on the current position of the node within the seam area of ​​the knitted glove, the first driving force and first driving direction data executed by the corresponding clamping structure on the connecting track are obtained based on the deviation between the current position and the target position.

[0055] In some preferred embodiments, the seam area is the web area of ​​the knitted glove, which includes the connection between the thumb and index finger and the extended areas on both sides. Since the web area is larger than other seam areas, the fingers on both sides of the web can extend at a greater angle, making it easier to make previously undetectable defects visible through swinging and shifting. On the other hand, because the web area has a wide opening and a larger surface area, it is more prone to friction and damage during the production of the knitted glove. Therefore, selecting the web area as the core detection location can further improve the detection accuracy of the web area and also improve detection efficiency.

[0056] In some preferred embodiments, step S2 includes:

[0057] Step S21: Connect the edge lines of the knitted glove sequentially through the current position of the node, define the area range of the seam region, and obtain the area range of the first partition in the seam region where defects can be completely detected through the camera, and mark the remaining area in the seam region;

[0058] Step S22: Set a recessed area outside the edge line of the first partition, set the recessed length of the recessed area in sequence, and combine the remaining area in the gap area with the recessed area to divide it into the second partition.

[0059] In some preferred embodiments, analyzing the indentation length of the second partition within the gap region includes:

[0060] The camera was used to sequentially acquire the mapping length of the reference light rays from each different angle onto the slit region, and the indentation length of the second partition was detected as follows. Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The reference ray represents the corresponding angle value between the reference ray and the gap region, and k represents the number of reference rays.

[0061] In some preferred embodiments, in step S3, the second driving direction of the plurality of clamping structures is opposite to the first driving direction.

[0062] Step S3 includes:

[0063] Based on the indentation length of the second partition, the size of the wrinkles in the currently undetectable defect area is determined. The analysis then considers the additional wrinkle height required to re-detect the previously undetectable defect area under the current recognition environment. This additional wrinkle height is related to the types of defects that may appear within the undetectable defect area. The smaller the absolute value, the smaller the folds in the second partition; the larger the folds, the greater the height, length, width, indentation slope, or indentation curvature of the folds.

[0064] The defect problems that may arise in the second partition, where defects cannot be fully detected, are divided into three categories:

[0065] There were minor issues with yarn flipping and loosening, which went undetected due to their small size and insufficient light. The detection length was set to be less than 2mm and the height to be less than 0.5mm. A micro-texture analysis algorithm was used, and the local binary mode (LBP) was used to focus on analyzing whether the continuity of the yarn axial direction was interrupted at the folds.

[0066] Problems such as linear defects, uneven continuous yarn arrangement, and local weaving density changes were not detected because the original folds were not deep enough or the defect features were not obvious. The length range was set to [2-10] mm and the height range was set to [0.5-2] mm. The height of the protrusion was measured by three-dimensional imaging and fused with the gray-scale abrupt change of the two-dimensional image features to determine whether there is feature overlap between the first partition and the second partition.

[0067] There are serious issues with yarn breakage and holes. Because the location is adjacent to the first partition, there are large angles of tilt and bending that cannot be detected when the first partition is flat. The length range is set to [10-50] mm, the height range is set to [2-10] mm, high dynamic range imaging is used to reduce shadows, and high texture changes and defects are identified based on image recognition.

[0068] In some preferred embodiments, step S4 includes:

[0069] Step S1 is executed again. The method of step S1 executed in step S4 is to obtain the minimum driving force and optimal driving direction required to stretch the seam area so that the glove surface in the seam area is flat and meets the process requirements. The driving force and driving direction data required for stretching are obtained. The global time before glue injection of the knitted glove is determined according to the total process data of the knitted glove. It is determined whether the total actual driving force power of the multiple clamping structures is less than or equal to the total preset operating power of the multiple clamping structures within the global time. If not, the second driving force and second driving direction data are synchronously adjusted based on the operating efficiency of the multiple clamping structures. The third driving force and third driving direction data of the multiple clamping structures after the plane of the seam area is flattened again are obtained.

[0070] Please see Figure 2 Based on the same concept as the above embodiments, embodiments of the present invention also provide a pre-glue injection testing device for knitted gloves, comprising:

[0071] A data acquisition device is used to retrieve positional relationship data between multiple clamping structures inside the mold and the seam area of ​​the knitted glove after the mold is fitted into the knitted glove; obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area; obtain a first zone in the seam area where defects can be completely detected; set multiple reference lights with different positions and illumination directions and detect the length data of the reference lights mapped onto the seam area through a camera to divide a second zone where defects cannot be completely detected; and analyze the indentation length of the second zone in the seam area.

[0072] A defect detection device is used to analyze the degree of wrinkling required to completely detect the defects in different areas of the second partition according to the types of defects that may occur in different areas of the second partition, and to sequentially acquire the second driving force and second driving direction data of the plurality of clamping structures that complete the required degree of wrinkling.

[0073] A data output device is used to optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the plurality of clamping structures. The mold receives the third driving force and third driving direction data to perform defect detection in the gap area.

[0074] In some preferred embodiments, the data acquisition device includes:

[0075] The database information retrieval terminal, the database data acquisition device is used to obtain the reference mapping length of light rays at a corresponding angle onto any plane of the knitted glove in the database; obtain the positional relationship data between multiple clamping structures in the mold and the seam area of ​​the knitted glove; and determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove.

[0076] The detection device information acquisition terminal is used to acquire the area range of the first zone in the gap area where defects can be completely detected through a camera; and to retrieve the mapping length of the reference light at each different angle onto the gap area by the camera.

[0077] In some preferred embodiments, the defect detection device includes:

[0078] The first driving detection device is used to mark the line trajectories connecting the plurality of clamping structures and the nodes in the corresponding seam area of ​​the knitted glove, and to mark the target positions of the nodes in the seam area of ​​the knitted glove on the plurality of clamping structures. The nodes are the initial points at which the knitted glove seam area is shifted after being subjected to external force.

[0079] The second drive detection device is used to obtain, based on the current position of a node within the seam area of ​​the knitted glove and the deviation between the current position and the target position, the first driving force and the first driving direction data executed by the corresponding clamping structure on the connecting track; to sequentially connect the edge lines of the knitted glove through the current positions of the nodes, defining the area range of the seam area, and marking the remaining area within the seam area; to set a recessed area outside the edge line of the first partition area, and to sequentially set the recessed length of the recessed areas, combining the remaining area within the seam area with the recessed areas to divide it into the second partition; the detected recessed length of the second partition is... Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The corresponding angle values ​​between the reference light and the gap area are different, and k is the number of reference light settings. Based on the concave length of the second partition, the size of the wrinkles in the defect area that cannot be completely detected is determined. The wrinkle height that needs to be increased to make the defect area that could not be completely detected be re-detected under the current recognition environment is analyzed. The wrinkle height that needs to be increased is related to the type of defect that may appear in the defect area that cannot be completely detected. The second driving direction of the multiple clamping structures is opposite to the first driving direction.

[0080] The third drive detection device is used to re-execute the running data stored in the first drive detection device, obtain the required stretching drive force and drive direction data, determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove, determine whether the actual total power of the multiple clamping structures within the global time is less than or equal to the total preset power of the multiple clamping structures, and if not, adjust the second drive force and second drive direction data synchronously based on the operating efficiency of the multiple clamping structures, and obtain the third drive force and third drive direction data of the multiple clamping structures after the plane of the seam area is flattened again.

[0081] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for testing knitted gloves before glue injection, characterized in that, include: Step S1: After the mold is put into the knitted glove, retrieve the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, and obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area. Step S2: Obtain the first zone in the gap area where defects can be completely detected, set multiple reference lights with different positions and illumination directions, and detect the length data of the reference lights mapped onto the gap area through the camera, divide the second zone where defects cannot be completely detected, and analyze the indentation length of the second zone in the gap area. Step S3: Based on the types of defects that may appear in different areas within the second partition, analyze the degree of wrinkling required to ensure that the defects in different areas of the second partition can be completely detected, and sequentially obtain the second driving force and second driving direction data of the multiple clamping structures that complete the required degree of wrinkling. Step S4: Optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the multiple clamping structures. The mold receives the third driving force and third driving direction data and performs defect detection in the clamping area.

2. The method for testing knitted gloves before glue injection according to claim 1, characterized in that, Step S1 further includes: Based on the positional relationship data between the multiple clamping structures in the mold and the seam area of ​​the knitted glove, the line trajectories connecting the multiple clamping structures and the corresponding nodes in the seam area of ​​the knitted glove are marked respectively. The target positions of the nodes in the seam area of ​​the knitted glove are marked on the multiple clamping structures. The nodes are the initial points where the knitted glove seam area is shifted after being subjected to external force. Based on the current position of the node within the seam area of ​​the knitted glove, the first driving force and first driving direction data executed by the corresponding clamping structure on the connecting track are obtained based on the deviation between the current position and the target position.

3. The method for testing knitted gloves before glue injection according to claim 1, characterized in that, Step S2 includes: Step S21: Connect the edge lines of the knitted glove sequentially through the current position of the node, define the area range of the seam region, and obtain the area range of the first partition in the seam region where defects can be completely detected through the camera, and mark the remaining area in the seam region; Step S22: Set a recessed area outside the edge line of the first partition, set the recessed length of the recessed area in sequence, and combine the remaining area in the gap area with the recessed area to divide it into the second partition.

4. The method for testing knitted gloves before glue injection according to claim 3, characterized in that, The analysis of the indentation length of the second partition within the gap region includes: The camera was used to sequentially acquire the mapping length of the reference light rays from each different angle onto the slit region, and the indentation length of the second partition was detected as follows. Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The reference ray represents the corresponding angle value between the reference ray and the gap region, and k represents the number of reference rays.

5. The method for testing knitted gloves before glue injection according to claim 1, characterized in that, In step S3, the second driving direction of the plurality of clamping structures is opposite to the first driving direction.

6. A method for testing knitted gloves before glue injection according to claim 4 or 5, characterized in that, Step S3 includes: Based on the indentation length of the second partition, the size of the wrinkles in the currently undetectable defect area is determined. The analysis is conducted to determine the additional wrinkle height required to re-detect the previously undetectable defect area under the current recognition environment. The additional wrinkle height is related to the types of defects that may appear in the undetectable defect area.

7. The method for testing knitted gloves before glue injection according to claim 1, characterized in that, Step S4 includes: Repeat step S1 to obtain the required stretching driving force and driving direction data. Determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove. Determine whether the total actual driving force power of the multiple clamping structures is less than or equal to the total preset operating power of the multiple clamping structures within the global time. If not, adjust the second driving force and second driving direction data synchronously based on the operating efficiency of the multiple clamping structures. Obtain the third driving force and third driving direction data of the multiple clamping structures after the plane of the seam area is flattened again.

8. A device for detecting knitted gloves before glue injection, characterized in that, include: A data acquisition device is used to retrieve positional relationship data between multiple clamping structures inside the mold and the seam area of ​​the knitted glove after the mold is fitted into the knitted glove; obtain the first driving force and first driving direction data of the multiple clamping structures that need to stretch the seam area; obtain a first zone in the seam area where defects can be completely detected; set multiple reference lights with different positions and illumination directions and detect the length data of the reference lights mapped onto the seam area through a camera; divide a second zone where defects cannot be completely detected; and analyze the indentation length of the second zone in the seam area. A defect detection device is used to analyze the degree of wrinkling required to completely detect the defects in different areas of the second partition according to the types of defects that may occur in different areas of the second partition, and to sequentially acquire the second driving force and second driving direction data of the plurality of clamping structures that complete the required degree of wrinkling. A data output device is used to optimize the second driving force and second driving direction data, and re-output the third driving force and third driving direction data of the plurality of clamping structures. The mold receives the third driving force and third driving direction data to perform defect detection in the gap area.

9. The pre-glue injection testing device for knitted gloves according to claim 7, characterized in that, The data acquisition device includes: The database information retrieval terminal, the database data acquisition device is used to obtain the reference mapping length of light rays at a corresponding angle onto any plane of the knitted glove in the database; obtain the positional relationship data between multiple clamping structures in the mold and the seam area of ​​the knitted glove; and determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove. The detection device information acquisition terminal is used to acquire the area range of the first zone in the gap area where defects can be completely detected through a camera; and to retrieve the mapping length of the reference light at each different angle onto the gap area by the camera.

10. The pre-glue injection testing device for knitted gloves according to claim 7, characterized in that, The defect detection device includes: The first driving detection device is used to mark the line trajectories connecting the plurality of clamping structures and the nodes in the corresponding seam area of ​​the knitted glove, and to mark the target positions of the nodes in the seam area of ​​the knitted glove on the plurality of clamping structures. The nodes are the initial points at which the knitted glove seam area is shifted after being subjected to external force. The second drive detection device is used to obtain, based on the current position of a node within the seam area of ​​the knitted glove and the deviation between the current position and the target position, the first driving force and the first driving direction data executed by the corresponding clamping structure on the connecting track; to sequentially connect the edge lines of the knitted glove through the current positions of the nodes, defining the area range of the seam area, and marking the remaining area within the seam area; to set a recessed area outside the edge line of the first partition area, and to sequentially set the recess length of the recessed areas, combining the remaining area within the seam area with the recessed areas to divide it into the second partition; the detected recess length of the second partition is... Where L1 is the reference mapping length of light rays at corresponding angles mapped onto any plane of the knitted glove in the database, L is the mapping length of the reference light rays at each different angle obtained by the camera onto the seam area, and θ k The corresponding angle values ​​between the reference light and the gap area are different, and k is the number of reference light settings. Based on the concave length of the second partition, the size of the wrinkles in the defect area that cannot be completely detected is determined. The wrinkle height that needs to be increased to make the defect area that could not be completely detected be re-detected under the current recognition environment is analyzed. The wrinkle height that needs to be increased is related to the type of defect that may appear in the defect area that cannot be completely detected. The second driving direction of the multiple clamping structures is opposite to the first driving direction. The third drive detection device is used to re-execute the running data stored in the first drive detection device, obtain the required stretching drive force and drive direction data, determine the global time before glue injection of the knitted glove based on the overall process data of the knitted glove, determine whether the actual total power of the multiple clamping structures within the global time is less than or equal to the total preset power of the multiple clamping structures, and if not, adjust the second drive force and second drive direction data synchronously based on the operating efficiency of the multiple clamping structures, and obtain the third drive force and third drive direction data of the multiple clamping structures after the plane of the seam area is flattened again.

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