Stamping production method and stamping production line

Abstract

The invention relates to a stamping production method and a stamping production line, and belongs to the field of stamping, and the stamping production method comprises the following steps: S0, inputting comparison image data of each stage into a processor, and inputting stamping data and a stamping parameter adjustment table into the processor; s1, a to-be-stamped part is placed on the feeding unit; s2, collecting image data of a to-be-stamped part, and sending the image data to a processor for comparison; if the comparison result is qualified, skipping to S3; s3, the to-be-stamped material sheet is stamped, and image data of the part in the stamping process is collected and sent to a processor for comparison; if the comparison result is unqualified, skipping to S4; if the comparison result is qualified, skipping to S5; s4, querying the image data acquired in the step S3 in a stamping parameter adjustment table; if the corresponding defect is inquired, performing compensation stamping; s5, collecting image data of the stamped part, and sending the image data to a processor for comparison; if the comparison result is qualified, skipping to S6; and S6, qualified finished parts are collected, and part production is completed.

Description

Technical Field

[0001] The invention belongs to the field of stamping, and in particular relates to a stamping production method and a stamping production line. Background Art

[0002] Stamping technology is widely used in the manufacturing industry, especially in the metal processing industry. The stamping production line processes metal sheets into parts of various shapes through stamping machines, molds and other equipment, with the advantages of high efficiency, low cost and strong adaptability. With the improvement of industrial automation level, traditional stamping production lines are also constantly developing towards intelligence, but they still face some technical challenges.

[0003] In the prior art, a traditional stamping production line, such as a sheet metal stamping production multi-robot collaborative production line mentioned in a patent application document with application number CN201610580362.1, includes: a material storage machine, a truss robot, multiple stamping machines, multiple material picking robots, a conveyor and a main control console; the conveyor and the material storage machine are arranged relative to each other, and multiple stamping machines are arranged side by side between the material storage machine and the conveyor, the truss robot is arranged on one side of the material storage machine and crosses one of the stamping machines close to the material storage machine; multiple material picking robots are arranged in a row in front of multiple stamping machines.

[0004] However, although the above-mentioned existing technologies can achieve a certain degree of automation, there are still problems in practical applications: due to the introduction of robots for automated operations (such as loading, unloading and stamping, etc.), the monitoring and inspection work originally performed manually is cancelled, which leads to the lack of real-time monitoring of the material status on the production line. If the material has defects such as deformation and corrosion before production, or the stamping parameters are improperly set, non-compliant waste may be generated, thereby reducing production efficiency and increasing production costs. Summary of the invention

[0005] The present invention aims at the problems in the prior art and provides a stamping production method and a stamping production line, which solves the problem in the prior art that the automated stamping assembly line cannot be monitored in real time, resulting in excessive production of waste that does not meet the standards.

[0006] The technical solution adopted by the present invention is as follows: In a first aspect, the present application provides a stamping production method, comprising the following steps: Step S0, inputting the comparison image data of each stage into the processor, and inputting the stamping data and the stamping parameter adjustment table into the processor; Step S1, placing the parts to be stamped on the loading unit; Step S2, collecting image data of the part to be stamped, and sending it to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is qualified, jump to step S3; if the comparison result is unqualified, the parts are recycled; Step S3, punching the sheet to be punched, and collecting image data of the parts during the punching process and sending them to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is unqualified, jump to step S4; if the comparison result is qualified, jump to step S5; Step S4, querying the image data collected in step S3 in the stamping parameter adjustment table; If the corresponding defect is found, the punching machine parameters are set according to the corresponding compensating punching parameters in the punching parameter adjustment table, and the process jumps to step S3; otherwise, the parts are recycled; Step S5, collecting image data of the stamped parts and sending it to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is qualified, jump to step S6; if the comparison result is unqualified, the parts are recycled; Step S6: Collect qualified finished parts and complete parts production.

[0007] Preferably, step S0 comprises the following steps: Step S0-1, collecting contrast image data at each stage and using them as contrast image data; the contrast image data at each stage includes image data of parts to be stamped that meet production standards, image data of stamped parts during the stamping process, and image data of stamped parts that have completed stamping; Step S0-2, sending the comparison image data to a processor for processing; Step S0-3, input all stamping data into the processor, and store a preset stamping parameter adjustment table in the processor; the stamping parameter adjustment table is obtained by experiment, including a preset defect image and corresponding compensation stamping data.

[0008] Preferably, step S2 comprises the following steps: Step S2-1, collecting image data of the parts to be stamped on the loading unit; Step S2-2, sending the collected image data to a processor, and the processor performs image processing and comparison judgment on the comparison image data; When the degree of deviation between the collected image data and the standard image data of the part to be stamped corresponding to step S0-1 exceeds a threshold, it is determined to be unqualified and the part to be stamped is recycled; When the degree of deviation between the collected image data and the image data of the standard to-be-punched part corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and the process jumps to step S3; The pixel difference of the image is used as the threshold, and the zero-mean normalized cross-correlation algorithm is used to calculate the evaluation index.

[0009] Preferably, step S3 includes the following steps: Step S3-1, transferring the qualified blanks to be stamped to the stamping unit for stamping; Step S3-2, collecting image data during the stamping process, and sending the collected image data to the processor; Step S3-3, the processor performs image processing and comparison judgment on the comparison image data; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 exceeds the threshold, it is judged as unqualified and jumps to step S4; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and step S5 is performed.

[0010] Preferably, step S4 includes the following steps: Step S4-1, comparing the image data collected in step S3 with the preset defect image data in step S0-3; When the degree of deviation between the collected image data and the preset defect image data in step S0-3 exceeds a threshold, it is determined to be unqualified and the part is recycled; When the deviation between the collected image data and the preset defect image data in step S0-3 does not exceed the threshold, it is determined to be qualified and jumps to step S4-2; Step S4-2, adjusting the stamping data according to the compensation stamping data corresponding to the preset defect image data in step S0-3, and jumping to step S3-2 after the compensation stamping is completed.

[0011] Preferably, the pixel difference of the image is used as a threshold, and the evaluation index is calculated using a zero-mean normalized cross-correlation algorithm;

[0012] Among them, i, j represent the pixel coordinates in the image, i represents the row coordinate of the image, j represents the column coordinate of the image, T(i,j) is the pixel value in the comparison image, which represents the pixel value at position (i,j) in the comparison image, and I(i,j) is the pixel value in the image to be detected, which represents the pixel value at position (i,j) in the image to be detected.

[0013] is the mean of the comparison image data, which represents the average value of all pixel values ​​of the template image;

[0014] is the mean of the comparison image data, which represents the average value of all pixel values ​​of the image to be detected;

[0015] Where M and N are the number of rows and columns of the image respectively.

[0016] In the second aspect, the present application provides a stamping production line for implementing the method described in the first aspect, comprising a loading area, a unloading area and a stamping area, the loading area and the unloading area are arranged on the same side of the stamping area, the stamping area is provided with a manipulator and a stamping device, the stamping area, the loading area and the unloading area are all provided with an image acquisition device, the stamping production line also includes a processor, and the manipulator, the stamping device and the image acquisition device are all connected to the processor.

[0017] Preferably, N stamping devices and N+1 manipulators are provided in the stamping area, wherein N=1, 2, 3, ..., the manipulators and the stamping devices are alternately arranged in a U-shape, and both the loading area and the unloading area are connected to the manipulators.

[0018] Preferably, the loading area is provided with a loading conveyor belt and a waste recovery unit, and an image acquisition device is provided on the loading conveyor belt; the unloading area is provided with a unloading conveyor belt and a waste recovery unit, and an image acquisition device is provided on the unloading conveyor belt; and at least one stamping device is provided with an image acquisition device.

[0019] Preferably, each punching device is provided with an image acquisition device.

[0020] It can be seen from the above technical solutions that the present invention has the following advantages: 1. This method combines image data acquisition and processing to automatically detect and control part quality, thereby improving production efficiency and product qualification rate. Each production step is monitored and compared in real time to ensure that the quality of parts in the production process meets the standards, avoid unqualified parts from entering the production process, and thus reduce scrap rate and manual intervention.

[0021] 2. By introducing multiple stages of image data acquisition and processing in step S0, the system can perform comprehensive data recording and analysis on parts at different production stages. This can not only provide more detailed quality inspection data, but also help adjust stamping parameters, optimize the production process, and ensure that every link in the production process meets the set quality standards.

[0022] 3. The present invention can accurately judge the quality of the parts to be stamped by adding a comparison between the image data and the standard parts image data in step S2. By setting a reasonable deviation threshold, unqualified parts can be found and recycled in time, effectively avoiding unqualified parts from entering the subsequent production links, and ensuring the efficiency and accuracy of the production process.

[0023] 4. In step S3, the quality of parts during the stamping process can be dynamically monitored through real-time image acquisition and processing during the stamping process. If the deviation exceeds the set threshold, the system will adjust the process or recycle unqualified parts in time, ensuring the stability of the stamping process and the reliability of part quality.

[0024] 5. The improvement of step S4 introduces the comparison of defect control data, which can adjust the stamping parameters in time according to the actual stamping situation. By comparing the image data with the defect control data, the system can quickly identify the defects generated during the stamping process and make timely adjustments, reducing the rework rate in production and improving the overall production efficiency.

[0025] 6. The quality of the final product is ensured by performing another image acquisition and comparison of the finished product parts in step S5. If unqualified finished products are found, they can be recycled in time.

[0026] 7. The design of this production line rationally arranges the loading area, unloading area and stamping area, so that the transport vehicle can always perform the transfer action on one side during the acoustic field process, avoiding the problem of low space utilization caused by the need to leave enough transportation space for the loading and unloading units at both ends of the linear assembly line. At the same time, it is equipped with an image acquisition device, which effectively improves the monitoring and management capabilities during the production process. The image acquisition system can monitor the status of parts in each production link in real time, automatically complete quality inspection and adjustment, and improve the automation level and production efficiency of the overall production line.

[0027] 8. By setting up a staggered arrangement of multiple stamping devices and manipulators, the production line can flexibly respond to different production needs, improving the production line's operating capacity and work efficiency. At the same time, the cooperation between the manipulator and the stamping device improves the automation level of parts processing, reduces manual intervention, and improves the safety and reliability of production.

[0028] 9. Image acquisition devices are installed in the loading and unloading areas of the production line to monitor the quality of parts in real time and perform automated quality inspections on the conveyor belt. This makes the loading and unloading process more precise, ensuring that parts in each link can be effectively monitored and processed, and improving production efficiency and part qualification rate.

[0029] 10. An image acquisition device is installed on each stamping device to fully monitor the quality of parts during the stamping process and ensure that each stamping link meets the quality standards. This full-process quality inspection can greatly reduce quality problems caused by mistakes in the stamping process and improve the degree of production automation and the qualified rate of parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0031] Figure 1 It is a schematic flow chart of the stamping method in the specific implementation example of the present invention.

[0032] Figure 2 It is a structural schematic diagram of a stamping production line in an embodiment of a specific implementation manner of the present invention.

[0033] In the figure: 1. Loading area; 2. Unloading area; 3. Stamping area; 4. Robot; 5. Stamping device; 6. Loading conveyor belt; 7. Waste conveyor belt; 8. Waste collection box; 9. Unloading conveyor belt; 10. Waste conveyor belt; 11. Waste collection box. DETAILED DESCRIPTION

[0034] In the detailed description below, various embodiments of the present disclosure will be described more fully. The present disclosure may have various embodiments, and adjustments and changes may be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present disclosure to the specific embodiments disclosed herein, but rather the present disclosure should be understood to cover all adjustments, equivalents and / or alternatives that fall within the spirit and scope of the various embodiments of the present disclosure.

[0035] The present invention aims at the problems in the prior art and provides a stamping production method and a stamping production line, which solves the problem in the prior art that the automated stamping assembly line cannot be monitored in real time, resulting in excessive production of waste that does not meet the standards.

[0036] The present invention aims at solving the problems in the prior art and provides a stamping production method. Figure 1 As shown, the following steps are included: Step S0, collecting and inputting comparison image data into a processor, and inputting stamping data, stamping adjustment data, and defect comparison data into the processor; Step S0 includes the following steps: Step S0-1, collecting image data of the parts to be stamped, the parts in the stamping process, and the parts after stamping that meet the production standards, and using them as comparison image data; collecting image data through an industrial camera or a high-definition camera; Step S0-2, sending the image data to the processor for processing; Image data is sent to the processor in real time through high-speed data transmission channels (such as Ethernet, USB3.0, optical fiber, etc.); The processor pre-processes the image, including grayscale conversion, denoising, image enhancement, and edge detection; Step S0-3, inputting all stamping data into the processor, obtaining the preset defect image and the corresponding compensating stamping data in the stamping parameter adjustment table by experiment, and storing the preset stamping parameter adjustment table in the processor; The system acquires various data during the stamping process through sensors, measuring equipment or other data acquisition devices, including but not limited to key parameters such as pressure, temperature, stamping speed, displacement, etc. These data are transmitted to the processor for subsequent processing and analysis; The processor stores a preset defect comparison data set, which includes standard features of different types of stamping defects (such as cracks, deformations, surface scratches, etc.). The defect comparison data set can be created and updated through historical data analysis, empirical rules, expert knowledge, etc.; At the same time, the stamping parameter adjustment table is also stored in the processor. The table lists how to adjust the stamping parameters (such as stamping pressure, speed, mold temperature, etc.) under different stamping conditions to optimize the production process and reduce the probability of defects. The adjustment table can be dynamically updated based on the historical data and real-time feedback of the specific production line; The processor compares the real-time input stamping data with the preset defect control data to identify whether there are potential stamping defects; Combined with the contents in the stamping parameter adjustment table, the processor can determine whether the current stamping conditions need to be adjusted to optimize the production process and reduce the occurrence of defects; Based on the comparison and analysis results, the processor can send adjustment instructions to the control system to automatically adjust the working parameters of the stamping machine to ensure stable product quality; If unavoidable defects occur, the processor generates an alarm and outputs a corresponding defect report for the operator to conduct further inspection and processing.

[0037] Step S1, placing the parts to be stamped on the loading unit; Step S2, collecting image data of the parts to be stamped and sending it to the processor for comparison; If the comparison result is qualified, jump to step S3; if the comparison result is unqualified, the parts are recycled; Step S2 includes the following steps: Step S2-1, the monitoring unit collects image data of the parts to be stamped on the loading unit; Step S2-2, sending the collected image data to a processor, which performs image processing and comparison and judgment; When the degree of deviation between the collected image data and the standard image data of the part to be stamped corresponding to step S0-1 exceeds a threshold, it is determined to be unqualified and the part to be stamped is recycled; When the deviation between the collected image data and the standard image data of the part to be stamped corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and the process jumps to step S3; The pixel difference of the image is used as the threshold, and the zero-mean normalized cross-correlation algorithm (ZNCC) is used to calculate the evaluation index;

[0038] Among them, i, j represent the pixel coordinates in the image, i represents the row coordinate of the image, j represents the column coordinate of the image, T(i,j) is the pixel value in the comparison image, which represents the pixel value at position (i,j) in the comparison image, and I(i,j) is the pixel value in the image to be detected, which represents the pixel value at position (i,j) in the image to be detected.

[0039] is the mean of the comparison image data, which represents the average value of all pixel values ​​of the template image;

[0040] is the mean of the comparison image data, which represents the average value of all pixel values ​​of the image to be detected;

[0041] Where M and N are the number of rows and columns of the image respectively.

[0042] Step S3, punching the sheet to be punched, and collecting image data of the parts during at least one punching process and sending it to the processor for comparison; If the comparison result is unqualified, jump to step S4; if the comparison result is qualified, jump to step S5; Step S3-1, transferring the qualified blanks to be stamped to the stamping unit for stamping; Step S3-2: During the stamping process, the monitoring unit collects image data at least once and sends the collected image data to the processor; Step S3-3, the processor performs image processing and comparison judgment; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 exceeds the threshold, it is judged as unqualified and jumps to step S4; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and step S5 is performed; The processing unit sets a time window according to the real-time status of the stamping process, and the time window can be dynamically adjusted according to the needs of different production processes. The length of the time window depends on the characteristics of the stamping process, such as stamping speed, product type and quality requirements. Within the time window, the system will record the number of all detected defective products; Set a threshold for the number of defective products. That is, if the number of defective products detected exceeds the threshold within the specified time window, an alarm is triggered. The threshold can be flexibly configured according to the different requirements of the production process. For example, if the number of stamping parts per batch is large, the threshold can be appropriately increased; if the quality requirements are high, the threshold should be relatively low; When the number of defective products exceeds the set threshold, the processing unit will remind through an alarm device (such as sound alarm, light alarm, screen prompt, etc.); The alarm signal can be sent to the production operator, equipment maintenance personnel or remote monitoring center through the control system to ensure timely intervention measures: after suspending production, the production operator or equipment maintenance personnel will check the status of the stamping equipment, the performance of the stamping raw materials, the stamping data and conduct experimental stamping in turn, determine the problem and make corresponding corrections and improvements; Alarm information can also be recorded in the production data management system to facilitate subsequent quality traceability and data analysis; At the end of each time window, the system will automatically count and record the number of defective products within that time period and generate relevant quality reports. Through data analysis, managers can identify potential production problems, equipment failures or process deviations and make optimization adjustments. Managers can update image defects at regular intervals or in batches: regularly collect image data of parts that meet the standards during the production process, as well as image data of parts with different types of defects, and optimize and expand the comparison image data to ensure that the system always makes comparisons and judgments with the most accurate standards; Step S4, comparing the image data collected in step S3 with the defect control data in step S0-1; If the comparison result is qualified, the stamping will continue; if the comparison result is unqualified, the parts will be recycled; Step S4 includes the following steps: Step S4-1, comparing the image data collected in step S3 with the preset defect image data in step S0-3; Traversing the defect image data preset in step S0-3, when the deviation between the collected image data and all the preset defect image data in step S0-3 exceeds the threshold, selecting the compensation stamping data corresponding to the defect image data with the smallest deviation from the preset defect image data in step S0-3 for compensation stamping, after completing the compensation stamping, collect image data again, and compare the second collected image data with the preset defect image data in step S0-3 again: sending the second collected image data to the processor for image processing and comparison judgment; When the deviation between the image data acquired for the second time and the stamping part image data of the standard stamping process corresponding to step S0-1 exceeds a threshold, it is judged as unqualified and the part is recycled; When the deviation between the collected image data and the preset defect image data in step S0-3 does not exceed the threshold, it is determined to be qualified and jumps to step S4-2; Step S4-2, adjusting the stamping data according to the compensation stamping data corresponding to the preset defect image data in step S0-3, and jumping to step S3-2 after the compensation stamping is completed; Step S5, collecting image data of the stamped parts and sending it to the processor for comparison; If the comparison result is qualified, jump to step S6; if the comparison result is unqualified, the parts are recycled; Step S5 includes the following steps: Step S5-1, after stamping is completed, the stamped parts are transferred to the unloading unit; Step S5-2: The monitoring unit collects image data of the stamped parts that have been stamped on the blanking unit; Step S5-3, sending the collected image data to the processor, and the processor performs image processing and comparison judgment; When the degree of deviation between the collected image data and the standard stamping part image data of the stamped parts corresponding to step S0-1 exceeds a threshold, it is determined to be unqualified, and the stamping parts of the stamped parts are recycled; When the deviation between the collected image data and the standard image data of the part to be stamped corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and the process jumps to step S6; Step S6: Collect qualified finished parts and complete parts production.

[0043] In this embodiment, a compensating stamping data automatic adjustment model can also be established: First, various data from the stamping process are collected through sensors and other monitoring equipment to provide data support for subsequent analysis and modeling; Install sensors (such as pressure sensors, displacement sensors, temperature sensors, acceleration sensors, etc.) on the stamping equipment to monitor key parameters in the stamping process in real time, including stamping force, punch position, die temperature, material deformation, speed, etc.; Collect historical stamping process data, such as historical workpiece dimensions, stamping process parameters, die wear, compensation data and its effects, as the basis for model training; Set appropriate sampling frequency to ensure the accuracy of real-time monitoring; Clean, process and extract features of the collected data to prepare for subsequent model training. Specific steps include data cleaning, standardization and normalization, feature extraction (such as punch force change trend, die wear index, punch position change, etc.), data annotation and label generation, etc.; For adaptive compensation strategies that require continuous adjustment of compensation values ​​based on real-time data, reinforcement learning can simulate the intelligent decision-making process, allowing the system to gradually optimize the compensation plan in its interaction with the production process.

[0044] The present application also provides a stamping production line for implementing the above method, such as Figure 2 As shown, it includes a loading area 1, a unloading area 2 and a stamping area 3. The loading area 1 and the unloading area 2 are arranged on the same side of the stamping area 3. The stamping area 3 is provided with a manipulator 4 and a stamping device 5. The stamping area 3, the loading area 1 and the unloading area 2 are all provided with image acquisition devices. The stamping production line also includes a processor. The manipulator 4, the stamping device 5 and the image acquisition device are all connected to the processor.

[0045] In this embodiment, N punching devices 5 and N+1 manipulators 4 are arranged in the punching area 3, where N=1, 2, 3, ..., the manipulators 4 and the punching devices 5 are alternately arranged in a U shape, and both the loading area 1 and the unloading area 2 are connected to the manipulators 4; In this embodiment, N=6; Further, the loading area 1 is provided with a loading conveyor belt 6 and a waste recovery unit, the waste recovery unit includes a waste conveyor belt 7 and a waste collection box 8, the waste conveyor belt 7 and the loading conveyor belt 6 are arranged alternately, and an image acquisition device for collecting images of materials on the loading conveyor belt 6 is arranged on the loading conveyor belt 6 through a first bracket, and a unloading conveyor belt 9 and a waste recovery unit are provided for unloading, and the waste recovery unit includes a waste conveyor belt 10 and a waste collection box 11, the waste conveyor belt 10 and the unloading conveyor belt 9 are arranged alternately, and an image acquisition device for collecting images of objects on the unloading conveyor belt 9 is arranged on the unloading conveyor belt 9 through a second bracket, at least one stamping device 5 is provided with an image acquisition device, and in this embodiment, each stamping device 5 is provided with an image acquisition device, the image acquisition device is installed on the stamping device 5 through a third bracket, and the image acquisition device is used to capture image data of the stamping station; The waste material recovery unit and the waste parts recovery unit are both provided with a full material monitoring unit, wherein the full material monitoring unit can be a photoelectric sensor or a weight sensor monitoring sensor.

[0046] It is understandable that the systems, devices, modules or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer, and the specific form of the computer can be a personal computer, a laptop computer, a personal digital assistant, a tablet computer, a wearable device, or a combination of any of these devices.

[0047] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0048] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0049] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0050] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0051] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0052] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0054] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of this specification, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0055] The above description is merely a preferred embodiment of one or more embodiments of the present specification and is not intended to limit one or more embodiments of the present specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present specification shall be included in the scope of protection of one or more embodiments of the present specification.

Claims

1. A stamping production method, characterized in that: The following steps are involved: Step S0, inputting the comparison image data of each stage into the processor, and inputting the stamping data and the stamping parameter adjustment table into the processor; Step S1, placing the parts to be stamped on the loading unit; Step S2, collecting image data of the part to be stamped, and sending it to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is qualified, jump to step S3; if the comparison result is unqualified, the parts are recycled; Step S3, punching the sheet to be punched, and collecting image data of the parts during the punching process and sending them to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is unqualified, jump to step S4; if the comparison result is qualified, jump to step S5; Step S4, querying the image data collected in step S3 in the stamping parameter adjustment table; If the corresponding defect is found, the punching machine parameters are set according to the corresponding compensating punching parameters in the punching parameter adjustment table, and the process jumps to step S3; otherwise, the parts are recycled; Step S5, collecting image data of the stamped parts and sending it to the processor for comparison with the comparison image data of the corresponding stage in step S0; If the comparison result is qualified, jump to step S6; if the comparison result is unqualified, the parts are recycled; Step S6: Collect qualified finished parts and complete parts production.

2. The stamping production method according to claim 1, characterized in that: Step S0 includes the following steps: Step S0-1, collecting contrast image data at each stage and using them as contrast image data; the contrast image data at each stage includes image data of parts to be stamped that meet production standards, image data of stamped parts during the stamping process, and image data of stamped parts that have completed stamping; Step S0-2, sending the comparison image data to a processor for processing; Step S0-3, input all stamping data into the processor, and store a preset stamping parameter adjustment table in the processor; the stamping parameter adjustment table is obtained by experiment, including a preset defect image and corresponding compensation stamping data.

3. The stamping production method according to claim 2, characterized in that: Step S2 includes the following steps: Step S2-1, collecting image data of the parts to be stamped on the loading unit; Step S2-2, sending the collected image data to a processor, and the processor performs image processing and comparison judgment on the comparison image data; When the degree of deviation between the collected image data and the standard image data of the part to be stamped corresponding to step S0-1 exceeds a threshold, it is determined to be unqualified and the part to be stamped is recycled; When the degree of deviation between the collected image data and the corresponding standard to-be-punched part image data in step S0-1 does not exceed the threshold, it is determined to be qualified and jumps to step S3.

4. The stamping production method according to claim 2, characterized in that: Step S3 includes the following steps: Step S3-1, transferring the qualified blanks to be stamped to the stamping unit for stamping; Step S3-2, collecting image data during the stamping process, and sending the collected image data to the processor; Step S3-3, the processor performs image processing and comparison judgment on the comparison image data; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 exceeds the threshold, it is judged as unqualified and jumps to step S4; When the degree of deviation between the collected image data and the stamping part image data in the standard stamping process corresponding to step S0-1 does not exceed the threshold, it is determined to be qualified and step S5 is performed.

5. The stamping production method according to claim 4, characterized in that: Step S4 includes the following steps: Step S4-1, comparing the image data collected in step S3 with the preset defect image data in step S0-3; When the degree of deviation between the collected image data and the preset defect image data in step S0-3 exceeds a threshold, it is determined to be unqualified and the part is recycled; When the deviation between the collected image data and the preset defect image data in step S0-3 does not exceed the threshold, it is determined to be qualified and jumps to step S4-2; Step S4-2, adjusting the stamping data according to the compensation stamping data corresponding to the preset defect image data in step S0-3, and jumping to step S3-2 after the compensation stamping is completed.

6. The stamping production method according to claim 3, characterized in that: The pixel difference of the image is used as the threshold, and the zero-mean normalized cross-correlation algorithm is used to calculate the evaluation index; Among them, i, j represent the pixel coordinates in the image, i represents the row coordinate of the image, j represents the column coordinate of the image, T(i,j) is the pixel value in the comparison image, which represents the pixel value at position (i,j) in the comparison image, and I(i,j) is the pixel value in the image to be detected, which represents the pixel value at position (i,j) in the image to be detected. is the mean of the comparison image data, which represents the average value of all pixel values ​​of the template image; is the mean of the comparison image data, which represents the average value of all pixel values ​​of the image to be detected; Where M and N are the number of rows and columns of the image respectively.

7. A stamping production line, used to implement the method according to any one of claims 1 to 6, characterized in that: The invention comprises a loading area (1), a unloading area (2) and a stamping area (3), wherein the loading area (1) and the unloading area (2) are arranged on the same side of the stamping area (3), the stamping area (3) is provided with a manipulator (4) and a stamping device (5), the stamping area (3), the loading area (1) and the unloading area (2) are all provided with an image acquisition device, the stamping production line further comprises a processor, and the manipulator (4), the stamping device (5) and the image acquisition device are all connected to the processor.

8. The stamping production line according to claim 7, characterized in that: N punching devices (5) and N+1 manipulators (4) are arranged in the punching area (3), wherein N=1, 2, 3, ..., the manipulators (4) and the punching devices (5) are arranged alternately in a U-shape, and the loading area (1) and the unloading area (2) are both connected to the manipulators (4).

9. The stamping production line according to claim 8, characterized in that: The loading area (1) is provided with a loading conveyor belt (6) and a waste recovery unit, the loading conveyor belt (6) is provided with an image acquisition device, the unloading area is provided with a unloading conveyor belt (9) and a waste recovery unit, the unloading conveyor belt (9) is provided with an image acquisition device, and at least one punching device (5) is provided with an image acquisition device.

10. The stamping production line according to claim 9, characterized in that: Each punching device (5) is provided with an image acquisition device.

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