A metal sheet bonding process monitoring method based on data analysis

Abstract

The present invention relates to the field of metal sheet bonding process monitoring, and specifically to a metal sheet bonding process monitoring method based on data analysis, comprising: establishing multi-level features of the metal sheet bonding process by using real-time images of the metal sheet bonding process; performing verification processing based on data analysis using the multi-level features of the metal sheet bonding process to obtain multi-level feature verification results of the metal sheet bonding process; obtaining metal sheet bonding process monitoring results by using the multi-level feature verification results of the metal sheet bonding process, performing feature extraction on real-time image data through data analysis, which is a key step in improving monitoring accuracy, extracting useful information from the image for subsequent comparison and analysis tasks, and extracting useful information from the image, which can express the deep meaning of the image, and at the same time establishing a multi-level comparison mechanism, and performing error correction iterations in a self-loop within the scheme to ensure stable execution.

Description

Technical Field

[0001] The present invention relates to the field of metal sheet bonding process monitoring, and in particular to a metal sheet bonding process monitoring method based on data analysis. Background Art

[0002] In traditional sheet metal processing, manual real-time monitoring of the bonding yield rate is performed. However, relying solely on manual labor will still result in a large number of defective bonded products not being selected. At the same time, algorithms that rely on precise visual analysis are also somewhat unsuitable for sheet metal bonding processing. Therefore, a practical monitoring method for the sheet metal bonding process is urgently needed. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention provides a metal sheet bonding process monitoring method based on data analysis. Through data analysis, feature extraction is performed on real-time image data, providing a good data basis for subsequent comparison and improving monitoring accuracy.

[0004] To achieve the above objectives, the present invention provides a metal sheet bonding process monitoring method based on data analysis, comprising:

[0005] S1. Establishing multi-level features of the metal sheet bonding process using a real-time image of the metal sheet bonding process;

[0006] S2. Performing verification processing based on data analysis using the multi-level features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process;

[0007] S3. Obtaining a metal sheet bonding process monitoring result using the multi-level feature verification result of the metal sheet bonding process.

[0008] Preferably, the method of establishing multi-level features of the metal sheet bonding process using the real-time image of the metal sheet bonding process includes:

[0009] S1-1, collecting real-time images of the metal sheet bonding process;

[0010] S1-2. Establishing image features of the metal sheet bonding process using the real-time image of the metal sheet bonding process;

[0011] S1-3, establishing target features of the metal sheet bonding process using the real-time image of the metal sheet bonding process;

[0012] S1-4. Utilize the image features and target features of the metal sheet bonding process as multi-level features of the metal sheet bonding process.

[0013] Furthermore, establishing image features of the metal sheet bonding process using the real-time image of the metal sheet bonding process includes:

[0014] S1-2-1. Acquire image pixels corresponding to the real-time image of the metal sheet bonding process as a first image feature;

[0015] S1-2-2. Using the real-time image of the metal sheet bonding process, obtain an image area corresponding to the metal sheet as a second image feature;

[0016] S1-2-3. Acquire the remaining area corresponding to the real-time image of the metal sheet bonding process according to the second image feature as a third image feature;

[0017] S1-2-4. Utilize the first image feature, the second image feature, and the third image feature as image features for the metal sheet bonding process.

[0018] Furthermore, establishing target features of the metal sheet bonding process using the real-time image of the metal sheet bonding process includes:

[0019] Establishing a real-time image two-dimensional coordinate system using the center of the corresponding image of the real-time image of the metal sheet bonding process as the origin;

[0020] Using the real-time image two-dimensional coordinate system to obtain the coordinates of the vertices corresponding to the metal sheet and establish a metal sheet vertex coordinate set;

[0021] Using the metal sheet vertex coordinate set, obtaining the metal sheet vertex vector according to the real-time image two-dimensional coordinate system to establish a metal sheet vertex vector set;

[0022] The metal sheet vertex coordinate set and the metal sheet vertex vector set are used as target features of the metal sheet bonding process.

[0023] Furthermore, verification results of the multi-level features of the metal sheet bonding process obtained by performing verification processing based on data analysis using the multi-level features of the metal sheet bonding process include:

[0024] S2-1. Obtaining associated data features of the metal sheet bonding process based on data analysis using the multi-level features of the metal sheet bonding process;

[0025] S2-2. Perform verification processing using the associated data features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process.

[0026] Furthermore, the associated data features of the metal sheet bonding process obtained based on data analysis using the multi-level features of the metal sheet bonding process include:

[0027] S2-1-1. Determine whether the second image feature corresponding to the image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process corresponds to the metal sheet vertex coordinate set corresponding to the target feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process. If so, execute S2-1-2; otherwise, return to S1-2-2.

[0028] S2-1-2, obtaining a metal sheet contour by using the image feature of the metal sheet bonding process corresponding to the second image feature of the multi-level feature of the metal sheet bonding process;

[0029] S2-1-3, determining whether the metal sheet contour corresponds to the image feature corresponding to the third image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process; if so, executing S2-1-4; otherwise, returning to S1-2-3;

[0030] S2-1-4, using the metal sheet contour to establish a metal sheet contour coordinate set according to the real-time image two-dimensional coordinate system;

[0031] S2-1-5. Determine whether the metal sheet contour coordinate set contains the target feature of the metal sheet bonding process corresponding to the metal sheet vertex coordinate set of the multi-level feature of the metal sheet bonding process. If so, use the metal sheet contour coordinate set as the associated data feature of the metal sheet bonding process. Otherwise, return to S2-1-1.

[0032] Furthermore, the multi-level feature verification results of the metal sheet bonding process obtained by performing verification processing using the associated data features of the metal sheet bonding process include:

[0033] S2-2-1. Establishing a standard verification time t using the real-time image corresponding to the metal sheet bonding process;

[0034] S2-2-2. Obtain the associated data features at time t-1 and time t+1 respectively;

[0035] S2-2-3. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t-1. If so, execute S2-2-4; otherwise, directly execute S2-2-5.

[0036] S2-2-4. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, execute S2-2-5.

[0037] S2-2-5. Determine whether the region corresponding to the associated data feature at time t-1 is consistent with the region corresponding to the associated data feature at time t+1. If so, execute S2-2-6. Otherwise, the multi-level feature verification result of the metal sheet bonding process is abnormal.

[0038] S2-2-6. Determine whether the associated data features at time t-1 are consistent with the associated data features at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, the multi-level feature verification result of the metal sheet bonding process is risky, and output the associated data features at time t-1, the standard verification time t, and time t+1.

[0039] Furthermore, the metal sheet bonding process monitoring results obtained by using the multi-level feature verification results of the metal sheet bonding process include:

[0040] S3-1. Determine whether the multi-level feature verification result of the metal sheet bonding process is normal. If so, the metal sheet bonding process monitoring result is normal, and the current time is updated. Return to S1-1. Otherwise, execute S3-2.

[0041] S3-2. Determine whether the multi-level feature verification result of the metal sheet bonding process is a risk. If so, execute S3-3; otherwise, directly execute S3-4.

[0042] S3-3. Determine whether the target feature corresponding to the metal sheet vertex vector set of the metal sheet bonding process corresponds to the image feature corresponding to the first image feature of the metal sheet bonding process. If so, the monitoring result of the metal sheet bonding process is normal, and the current time is updated. Return to S1-1. Otherwise, the monitoring result of the metal sheet bonding process is risky, and a real-time image of the metal sheet bonding process is output.

[0043] S3-4, determining whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t-1; if so, executing S3-5; otherwise, the metal sheet bonding process monitoring result is abnormal;

[0044] S3-5. Determine whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t+1. If so, the monitoring result of the metal sheet bonding process is normal; otherwise, the monitoring result of the metal sheet bonding process is abnormal.

[0045] Compared with the closest prior art, the present invention has the following beneficial effects:

[0046] Feature extraction of real-time image data through data analysis is a key step to improve monitoring accuracy. Useful information is extracted from the image for subsequent comparison and analysis tasks. These features can express the deep meaning of the image. At the same time, a multi-level comparison mechanism is established, and self-looping within the solution is used for error correction and iteration to ensure stable implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of a metal sheet bonding process monitoring method based on data analysis provided by the present invention. DETAILED DESCRIPTION

[0048] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0050] Example 1: The present invention provides a method for monitoring the metal sheet bonding process based on data analysis, such as Figure 1 Shown, including:

[0051] S1. Establishing multi-level features of the metal sheet bonding process using a real-time image of the metal sheet bonding process;

[0052] S2. Performing verification processing based on data analysis using the multi-level features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process;

[0053] S3. Obtaining a metal sheet bonding process monitoring result using the multi-level feature verification result of the metal sheet bonding process.

[0054] S1 specifically includes:

[0055] S1-1, collecting real-time images of the metal sheet bonding process;

[0056] S1-2. Establishing image features of the metal sheet bonding process using the real-time image of the metal sheet bonding process;

[0057] S1-3, establishing target features of the metal sheet bonding process using the real-time image of the metal sheet bonding process;

[0058] S1-4. Utilize the image features and target features of the metal sheet bonding process as multi-level features of the metal sheet bonding process.

[0059] S1-2 specifically includes:

[0060] S1-2-1. Acquire image pixels corresponding to the real-time image of the metal sheet bonding process as a first image feature;

[0061] S1-2-2. Using the real-time image of the metal sheet bonding process, obtain an image area corresponding to the metal sheet as a second image feature;

[0062] S1-2-3. Acquire the remaining area corresponding to the real-time image of the metal sheet bonding process according to the second image feature as a third image feature;

[0063] S1-2-4. Utilize the first image feature, the second image feature, and the third image feature as image features for the metal sheet bonding process.

[0064] S1-3 specifically includes:

[0065] S1-3-1. Using the center of the corresponding image of the real-time image of the metal sheet bonding process as the origin, a real-time image two-dimensional coordinate system is established;

[0066] S1-3-2. Using the real-time image two-dimensional coordinate system, obtain the coordinates of the vertices corresponding to the metal sheet and establish a vertex coordinate set of the metal sheet;

[0067] S1-3-3, using the metal sheet vertex coordinate set to obtain the metal sheet vertex vectors according to the real-time image two-dimensional coordinate system to establish a metal sheet vertex vector set;

[0068] S1-3-4. Utilize the metal sheet vertex coordinate set and the metal sheet vertex vector set as target features of the metal sheet bonding process.

[0069] S2 specifically includes:

[0070] S2-1. Obtaining associated data features of the metal sheet bonding process based on data analysis using the multi-level features of the metal sheet bonding process;

[0071] S2-2. Perform verification processing using the associated data features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process.

[0072] S2-1 specifically includes:

[0073] S2-1-1. Determine whether the second image feature corresponding to the image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process corresponds to the metal sheet vertex coordinate set corresponding to the target feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process. If so, execute S2-1-2; otherwise, return to S1-2-2.

[0074] S2-1-2, obtaining a metal sheet contour by using the image feature of the metal sheet bonding process corresponding to the second image feature of the multi-level feature of the metal sheet bonding process;

[0075] S2-1-3, determining whether the metal sheet contour corresponds to the image feature corresponding to the third image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process; if so, executing S2-1-4; otherwise, returning to S1-2-3;

[0076] S2-1-4, using the metal sheet contour to establish a metal sheet contour coordinate set according to the real-time image two-dimensional coordinate system;

[0077] S2-1-5. Determine whether the metal sheet contour coordinate set contains the target feature of the metal sheet bonding process corresponding to the metal sheet vertex coordinate set of the multi-level feature of the metal sheet bonding process. If so, use the metal sheet contour coordinate set as the associated data feature of the metal sheet bonding process. Otherwise, return to S2-1-1.

[0078] S2-2 specifically includes:

[0079] S2-2-1. Establishing a standard verification time t using the real-time image corresponding to the metal sheet bonding process;

[0080] S2-2-2. Obtain the associated data features at time t-1 and time t+1 respectively;

[0081] S2-2-3. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t-1. If so, execute S2-2-4; otherwise, directly execute S2-2-5.

[0082] S2-2-4. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, execute S2-2-5.

[0083] S2-2-5. Determine whether the region corresponding to the associated data feature at time t-1 is consistent with the region corresponding to the associated data feature at time t+1. If so, execute S2-2-6. Otherwise, the multi-level feature verification result of the metal sheet bonding process is abnormal.

[0084] S2-2-6. Determine whether the associated data features at time t-1 are consistent with the associated data features at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, the multi-level feature verification result of the metal sheet bonding process is risky, and output the associated data features at time t-1, the standard verification time t, and time t+1.

[0085] S3 specifically includes:

[0086] S3-1. Determine whether the multi-level feature verification result of the metal sheet bonding process is normal. If so, the metal sheet bonding process monitoring result is normal, and the current time is updated. Return to S1-1. Otherwise, execute S3-2.

[0087] S3-2. Determine whether the multi-level feature verification result of the metal sheet bonding process is a risk. If so, execute S3-3; otherwise, directly execute S3-4.

[0088] S3-3. Determine whether the target feature corresponding to the metal sheet vertex vector set of the metal sheet bonding process corresponds to the image feature corresponding to the first image feature of the metal sheet bonding process. If so, the monitoring result of the metal sheet bonding process is normal, and the current time is updated. Return to S1-1. Otherwise, the monitoring result of the metal sheet bonding process is risky, and a real-time image of the metal sheet bonding process is output.

[0089] S3-4, determining whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t-1; if so, executing S3-5; otherwise, the metal sheet bonding process monitoring result is abnormal;

[0090] S3-5. Determine whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t+1. If so, the monitoring result of the metal sheet bonding process is normal; otherwise, the monitoring result of the metal sheet bonding process is abnormal.

[0091] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0092] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A metal sheet bonding process monitoring method based on data analysis, characterized in that: include: S1. Establishing multi-level features of the metal sheet bonding process using a real-time image of the metal sheet bonding process; The method of establishing multi-level features of the metal sheet bonding process using the real-time image of the metal sheet bonding process includes: S1-1, collecting real-time images of the metal sheet bonding process; S1-2. Establishing image features of the metal sheet bonding process using the real-time image of the metal sheet bonding process; S1-2-1. Acquire image pixels corresponding to the real-time image of the metal sheet bonding process as a first image feature; S1-2-2. Using the real-time image of the metal sheet bonding process, obtain an image area corresponding to the metal sheet as a second image feature; S1-2-3. Acquire the remaining area corresponding to the real-time image of the metal sheet bonding process according to the second image feature as a third image feature; S1-2-4, using the first image feature, the second image feature, and the third image feature as image features for a metal sheet bonding process; S1-3, establishing target features of the metal sheet bonding process using the real-time image of the metal sheet bonding process; S1-4, using the image features and target features of the metal sheet bonding process as multi-level features of the metal sheet bonding process; S2. Performing verification processing based on data analysis using the multi-level features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process; The verification results of the multi-level features of the metal sheet bonding process obtained by performing verification processing based on data analysis include: S2-1. Obtaining associated data features of the metal sheet bonding process based on data analysis using the multi-level features of the metal sheet bonding process; S2-2, performing verification processing using the associated data features of the metal sheet bonding process to obtain a multi-level feature verification result of the metal sheet bonding process; The associated data features of the metal sheet bonding process obtained based on data analysis using the multi-level features of the metal sheet bonding process include: S2-1-1. Determine whether the second image feature corresponding to the image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process corresponds to the metal sheet vertex coordinate set corresponding to the target feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process. If so, execute S2-1-2; otherwise, return to S1-2-2. S2-1-2, obtaining a metal sheet contour by using the image feature of the metal sheet bonding process corresponding to the second image feature of the multi-level feature of the metal sheet bonding process; S2-1-3, determining whether the metal sheet contour corresponds to the image feature corresponding to the third image feature of the metal sheet bonding process of the multi-level feature of the metal sheet bonding process; if so, executing S2-1-4; otherwise, returning to S1-2-3; S2-1-4, using the metal sheet contour to establish a metal sheet contour coordinate set according to the real-time image two-dimensional coordinate system; S2-1-5. Determine whether the metal sheet contour coordinate set contains a metal sheet vertex coordinate set corresponding to a target feature of the metal sheet bonding process of a multi-level feature of the metal sheet bonding process; if so, use the metal sheet contour coordinate set as a related data feature of the metal sheet bonding process; otherwise, return to S2-1-1; S3. Obtaining a metal sheet bonding process monitoring result using the multi-level feature verification result of the metal sheet bonding process.

2. The method for monitoring a metal sheet bonding process based on data analysis according to claim 1, wherein: Establishing target features of the metal sheet bonding process using the real-time image of the metal sheet bonding process includes: Establishing a real-time image two-dimensional coordinate system using the center of the corresponding image of the real-time image of the metal sheet bonding process as the origin; Using the real-time image two-dimensional coordinate system to obtain the coordinates of the vertices corresponding to the metal sheet and establish a metal sheet vertex coordinate set; Using the metal sheet vertex coordinate set, obtaining the metal sheet vertex vector according to the real-time image two-dimensional coordinate system to establish a metal sheet vertex vector set; The metal sheet vertex coordinate set and the metal sheet vertex vector set are used as target features of the metal sheet bonding process.

3. The method for monitoring a metal sheet bonding process based on data analysis according to claim 1, wherein: The multi-level feature verification results of the metal sheet bonding process obtained by performing verification processing using the associated data features of the metal sheet bonding process include: S2-2-1. Establishing a standard verification time t using the real-time image corresponding to the metal sheet bonding process; S2-2-2. Obtain the associated data features at time t-1 and time t+1 respectively; S2-2-3. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t-1. If so, execute S2-2-4; otherwise, directly execute S2-2-5. S2-2-4. Determine whether the area corresponding to the associated data feature at the standard verification time t is consistent with the area corresponding to the associated data feature at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, execute S2-2-5. S2-2-5. Determine whether the region corresponding to the associated data feature at time t-1 is consistent with the region corresponding to the associated data feature at time t+1. If so, execute S2-2-6. Otherwise, the multi-level feature verification result of the metal sheet bonding process is abnormal. S2-2-6. Determine whether the associated data features at time t-1 are consistent with the associated data features at time t+1. If so, the multi-level feature verification result of the metal sheet bonding process is normal. Otherwise, the multi-level feature verification result of the metal sheet bonding process is risky, and output the associated data features at time t-1, the standard verification time t, and time t+1.

4. The method for monitoring a metal sheet bonding process based on data analysis according to claim 3, wherein: The metal sheet bonding process monitoring results obtained by using the multi-level feature verification results of the metal sheet bonding process include: S3-1. Determine whether the multi-level feature verification result of the metal sheet bonding process is normal. If so, the metal sheet bonding process monitoring result is normal, and the current time is updated. Return to S1-1. Otherwise, execute S3-2. S3-2. Determine whether the multi-level feature verification result of the metal sheet bonding process is a risk. If so, execute S3-3; otherwise, directly execute S3-4. S3-3. Determine whether the target feature corresponding to the metal sheet vertex vector set of the metal sheet bonding process corresponds to the image feature corresponding to the first image feature of the metal sheet bonding process. If so, the monitoring result of the metal sheet bonding process is normal, and the current time is updated. Return to S1-1. Otherwise, the monitoring result of the metal sheet bonding process is risky, and a real-time image of the metal sheet bonding process is output. S3-4, determining whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t-1; if so, executing S3-5; otherwise, the metal sheet bonding process monitoring result is abnormal; S3-5. Determine whether the metal sheet vertex vector set corresponding to the metal sheet bonding process at the standard verification time t is consistent with the metal sheet vertex vector set corresponding to the metal sheet bonding process at time t+1. If so, the monitoring result of the metal sheet bonding process is normal; otherwise, the monitoring result of the metal sheet bonding process is abnormal.

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