Cutting quality monitoring method and system suitable for aluminum profile cutting device

Abstract

The invention is suitable for the technical field of intelligent monitoring, and provides a cutting quality monitoring method and system suitable for an aluminum profile cutting device.The method comprises the steps that first, based on an image sensor, first cutting face image information of a first to-be-detected aluminum profile and second cutting face image information of a second to-be-detected aluminum profile are obtained; the method comprises the following steps: firstly, generating first profile edge information according to first cutting surface image information on the basis of an edge extraction algorithm, quickly generating second profile edge information according to second cutting surface image information, and finally, accurately generating cutting quality evaluation information according to the first profile edge information and the second profile edge information. According to the invention, automatic detection of the cutting quality of the aluminum profile can be realized, whether the cutting surface meets the quality standard or not can be accurately identified, errors and omission caused by manual detection are effectively avoided, the detection speed and efficiency are greatly improved, the labor cost and time consumption are greatly reduced, and the quality detection requirements under more complex working conditions are met.

Description

Technical Field

[0001] This application relates to the technical field of intelligent monitoring, and more specifically, to a method and system for monitoring the cutting quality of aluminum profile cutting devices. Background Technology

[0002] Aluminum profiles have advantages such as being lightweight and high-strength, corrosion-resistant, aesthetically pleasing, and easy to process. The oxide film on their surface can effectively prevent corrosion, and through extrusion processes, they can be made into various complex cross-sections to meet different design requirements.

[0003] Currently, the inspection of aluminum profile cutting quality mainly relies on manual measurement. This traditional method is not only inefficient and time-consuming, but also prone to missed detections or misjudgments due to factors such as fatigue and experience differences among inspectors, resulting in low inspection efficiency and requiring further improvement. Summary of the Invention

[0004] Based on this, the present application provides a cutting quality monitoring method and system applicable to aluminum profile cutting devices to solve the problem of low detection efficiency in the prior art.

[0005] In a first aspect, embodiments of this application provide a method for monitoring the cutting quality of an aluminum profile cutting device, the method comprising: Based on a preset image sensor, the first cut surface image information of the first aluminum profile to be detected and the second cut surface image information of the second aluminum profile to be detected are acquired, wherein the cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected. Based on a preset edge extraction algorithm, first profile edge information is generated according to the first cut surface image information, and second profile edge information is generated according to the second cut surface image information based on the edge extraction algorithm. Based on the edge information of the first profile and the edge information of the second profile, cutting quality assessment information is generated.

[0006] Compared with the prior art, the beneficial effects are as follows: The cutting quality monitoring method for aluminum profile cutting devices provided in this application embodiment can first acquire the first cutting surface image information of the first aluminum profile to be detected and the second cutting surface image information of the second aluminum profile to be detected based on a preset image sensor. Then, based on the edge extraction algorithm, the first profile edge information is quickly generated according to the first cutting surface image information. At the same time, based on the edge extraction algorithm, the second profile edge information is quickly generated according to the second cutting surface image information. Finally, the cutting quality evaluation information is accurately generated according to the first and second profile edge information, thereby realizing automatic and accurate detection of aluminum profile cutting quality, greatly improving detection efficiency, and solving the problem of low detection efficiency to a certain extent.

[0007] Secondly, embodiments of this application provide a cutting quality monitoring system suitable for aluminum profile cutting devices, the system comprising: Cut surface image information acquisition module: used to acquire first cut surface image information of a first aluminum profile to be detected and second cut surface image information of a second aluminum profile to be detected based on a preset image sensor, wherein the cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected; Profile edge information generation module: used to generate first profile edge information based on the first cut surface image information according to a preset edge extraction algorithm, and to generate second profile edge information based on the second cut surface image information according to the edge extraction algorithm; Cutting quality assessment information generation module: used to generate cutting quality assessment information based on the edge information of the first profile and the edge information of the second profile.

[0008] Thirdly, embodiments of this application provide a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect above.

[0009] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect above.

[0010] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0012] Figure 1 This is a schematic flowchart of a cutting quality monitoring method provided in an embodiment of this application; Figure 2 (a) is a schematic diagram of the first aluminum profile to be tested provided in an embodiment of this application. Figure 2 (b) is a schematic diagram of the edge information of the first profile provided in an embodiment of this application; Figure 3 This is a flowchart illustrating the process before step S300 in a cutting quality monitoring method provided in an embodiment of this application; Figure 4This is a flowchart illustrating step S300 in a cutting quality monitoring method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the first process after step S300 in a cutting quality monitoring method provided in an embodiment of this application; Figure 6 This is a flowchart illustrating the process after step S420 in a cutting quality monitoring method provided in an embodiment of this application. Figure 7 This is a schematic diagram of the second process after step S300 in the cutting quality monitoring method provided in an embodiment of this application; Figure 8 This is a block diagram of a cutting quality monitoring system provided in one embodiment of this application; Figure 9 This is a schematic diagram of a terminal device provided in an embodiment of this application. Detailed Implementation

[0013] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0014] In the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0015] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0016] To illustrate the technical solution described in this application, specific embodiments are provided below.

[0017] Please see Figure 1 , Figure 1This is a flowchart illustrating a cutting quality monitoring method for aluminum profile cutting devices provided in this application embodiment. In this embodiment, the executing entity of the cutting quality monitoring method is a terminal device. It is understood that the types of terminal devices include, but are not limited to, mobile phones, tablets, laptops, Ultra-Mobile Personal Computers (UMPCs), netbooks, Personal Digital Assistants (PDAs), etc. This application embodiment does not impose any restrictions on the specific type of terminal device.

[0018] Please see Figure 1 The cutting quality monitoring method provided in this application includes, but is not limited to, the following steps: In S100, based on a preset image sensor, the first cut surface image information of the first aluminum profile to be detected and the second cut surface image information of the second aluminum profile to be detected are acquired.

[0019] Specifically, the terminal device can acquire first cut surface image information of a first aluminum profile to be detected and second cut surface image information of a second aluminum profile to be detected based on a preset image sensor. The image sensor can be a high-precision industrial camera. The cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected. The first cut surface image information is used to describe the image obtained by taking a picture of the cut surface of the first aluminum profile to be detected using the image sensor. The second cut surface image information is used to describe the image obtained by taking a picture of the cut surface of the second aluminum profile to be detected using the image sensor.

[0020] It should be noted that, for example, please refer to Figure 2 (a) and Figure 2 In (b), the optical center line corresponding to the camera lens of the image sensor coincides with the extension surface of the aluminum profile cutting surface. Furthermore, when the image sensor captures the cutting surface of the first aluminum profile to be detected, the shooting angle, shooting focal length, and shooting distance are the same as those used when the image sensor captures the cutting surface of the second aluminum profile to be detected.

[0021] In S200, based on a preset edge extraction algorithm, first profile edge information is generated according to the first cutting surface image information, and based on the edge extraction algorithm, second profile edge information is generated according to the second cutting surface image information.

[0022] Specifically, after the terminal device acquires the first and second cut surface image information, it can perform edge extraction processing on the first cut surface image information based on a preset edge extraction algorithm to quickly generate the first profile edge information. Simultaneously, it performs edge extraction processing on the second cut surface image information based on the same algorithm to quickly generate the second profile edge information. The edge extraction algorithm can be either a Scharr operator-based algorithm or a Laplacian of Gaussian (LoG) operator-based algorithm. For example, please refer to [link to example]. Figure 2 In (b), the first profile edge information is used to describe the edge corresponding to the cut surface of the first aluminum profile to be detected, i.e. Figure 2 The dotted line in (b); the second profile edge information is used to describe the edge corresponding to the cut surface of the second aluminum profile to be inspected.

[0023] In S300, cutting quality assessment information is generated based on the edge information of the first profile and the edge information of the second profile.

[0024] Specifically, after the terminal device generates the edge information of the first profile and the edge information of the second profile, the terminal device can effectively generate cutting quality assessment information based on the edge information of the first profile and the edge information of the second profile. The cutting quality assessment information is either cutting quality qualified information or cutting quality unqualified information.

[0025] For some possible implementations, please refer to [link to relevant documentation] for information on effectively generating cut quality assessment information. Figure 3 Before step S300, the method further includes, but is not limited to, the following steps: In S301, standard cutting surface image information is obtained.

[0026] Specifically, the terminal device can acquire standard cut surface image information. The standard cut surface image information is used to describe the image obtained by taking pictures of the cut surface of the aluminum profile with qualified cutting quality. When the image sensor takes pictures of the cut surface of the aluminum profile with qualified cutting quality, the shooting angle, shooting focal length and shooting distance are the same as those used when the image sensor takes pictures of the cut surface of the first aluminum profile to be detected.

[0027] In S302, based on the edge extraction algorithm, standard edge information of the profile is generated according to the standard cutting surface image information.

[0028] Specifically, after the terminal device acquires the standard cut surface image information, it can extract the edges of the standard cut surface image information based on the edge extraction algorithm to quickly generate the standard edge information of the profile.

[0029] In S303, standard edge range information is generated based on the profile standard edge information and the preset compliance offset value information.

[0030] Specifically, after the terminal device generates the standard edge information of the profile, it can generate standard edge range information based on the standard edge information of the profile and the preset compliance offset value information. The standard edge range information describes the area formed by offsetting the standard edge information of the profile to both sides in a direction perpendicular to the standard edge information of the profile. The specific value of the compliance offset value information can be customized, such as 0.2 mm or 0.5 mm.

[0031] Accordingly, please refer to Figure 4 Step S300 includes, but is not limited to, the following steps: In S310, it is determined whether the edge information of the first profile and the edge information of the second profile are both within the standard edge range information.

[0032] Specifically, after the terminal device generates the standard edge range information, the terminal device can determine whether the edge information of the first profile and the edge information of the second profile are both within the standard edge range information.

[0033] In S320, if the edge information of the first profile and the edge information of the second profile are both within the standard edge range information, then the cutting quality qualified information is generated.

[0034] Specifically, if the edge information of the first profile and the edge information of the second profile are both within the standard edge range, it indicates that the cut surfaces of the two aluminum profiles cut by the aluminum profile cutting device are flat and there are no abnormal or obvious curved edges due to the abnormal dulling of the cutting blade. Therefore, the terminal equipment can generate cutting quality qualified information.

[0035] In S330, if either the edge information of the first profile or the edge information of the second profile is not within the standard edge range information, then a cutting quality failure information is generated.

[0036] Specifically, if either the edge information of the first profile or the edge information of the second profile is not within the standard edge range, it indicates that the cut surfaces of the two aluminum profiles continuously cut by the aluminum profile cutting device are not both flat. There is an abnormal and obvious curved edge caused by the abnormal dulling of the cutting blade. Therefore, the terminal equipment generates a cutting quality failure message. In some possible implementations, to help maintenance personnel identify aluminum profiles with substandard cutting quality, please refer to [link / reference needed]. Figure 5 If a cutting quality defect is generated, then after step S300, the method further includes, but is not limited to, the following steps: In S400, a stop-cutting command is generated and executed based on information indicating that the cutting quality is substandard.

[0037] Specifically, the terminal equipment can generate and execute a stop-cutting command based on information about substandard cutting quality, thereby preventing the continued cutting of substandard aluminum profiles. The stop-cutting command is used to instruct the aluminum profile cutting device to stop operating.

[0038] In S410, the profile number information of the second aluminum profile to be tested is obtained.

[0039] Specifically, after the terminal device generates and executes the stop cutting command, the terminal device can obtain the profile number information of the second aluminum profile to be tested.

[0040] In S420, abnormal product label information is generated based on profile number information.

[0041] Specifically, after the terminal device obtains the profile number information, the terminal device can generate abnormal product label information based on the profile number information. The abnormal product label information is used to identify the second aluminum profile to be tested as an aluminum profile with unqualified cutting quality.

[0042] In some possible implementations, to facilitate the analysis and maintenance of the aluminum profile cutting device by operations and maintenance personnel, please refer to [link / reference needed]. Figure 6 After step S420, the method further includes, but is not limited to, the following steps: In S421, the cumulative cutting time information of the aluminum profile cutting device is obtained.

[0043] Specifically, the terminal device can obtain the cumulative cutting time information of the aluminum profile cutting device, which describes the total time that the aluminum profile cutting device has accumulated for cutting processing.

[0044] In S422, abnormal product tag information and cumulative cut-off time information are sent to the designated terminal of the operation and maintenance personnel.

[0045] Specifically, after the terminal device obtains the cumulative cutting time information, the terminal device can send both the abnormal product tag information and the cumulative cutting time information to the designated terminal of the operation and maintenance personnel.

[0046] In some possible implementations, to further facilitate the avoidance of producing aluminum profiles with substandard cutting quality, please refer to [link / reference needed]. Figure 7 If a cutting quality defect is generated, then after step S300, the method further includes, but is not limited to, the following steps: In S500, if the edge information of the first profile is within the standard edge range information and the edge information of the second profile is not within the standard edge range information, then critical abnormal edge information is generated based on the edge information of the first profile.

[0047] Specifically, if the edge information of the first profile is within the standard edge range information and the edge information of the second profile is not within the standard edge range information, the terminal device can generate critical abnormal edge information based on the edge information of the first profile, thereby determining the specific edge of the aluminum profile cut before the aluminum profile cutting device is about to malfunction.

[0048] In S510, in response to the repair completion command and the cutting start command, the third profile edge information of the third aluminum profile to be inspected is obtained.

[0049] Specifically, after the terminal device generates critical abnormal edge information, the terminal device can respond to the repair completion command and the cutting start command to obtain the third profile edge information of the third aluminum profile to be detected. The repair completion command is used to instruct the repair work of the abnormal aluminum profile cutting device to be completed, and the cutting start command is used to instruct the repaired aluminum profile cutting device to continue cutting processing.

[0050] In S520, the edge information of the third profile and the critical abnormal edge information are compared.

[0051] Specifically, after the terminal device obtains the edge information of the third profile, the terminal device can compare the edge information of the third profile with the critical abnormal edge information.

[0052] In S530, if the edge information of the third profile coincides with the edge information of the critical anomaly, a preparatory anomaly warning message is generated.

[0053] Specifically, if the edge information of the third profile coincides with the edge information of the critical anomaly, a preparatory anomaly reminder message is generated. This message is used to alert maintenance personnel that the aluminum profile cutting device is about to experience an anomaly.

[0054] The implementation principle of the cutting quality monitoring method for aluminum profile cutting devices in this application embodiment is as follows: The terminal device can first acquire the first cutting surface image information of the first aluminum profile to be detected and the second cutting surface image information of the second aluminum profile to be detected based on a preset image sensor. Then, based on the edge extraction algorithm, the first profile edge information is quickly generated according to the first cutting surface image information. At the same time, based on the edge extraction algorithm, the second profile edge information is quickly generated according to the second cutting surface image information. Finally, the cutting quality evaluation information is accurately generated according to the first and second profile edge information, thereby realizing automatic and accurate detection of the cutting quality of aluminum profiles and greatly improving detection efficiency.

[0055] It should be noted that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0056] Embodiments of this application also provide a cutting quality monitoring system suitable for aluminum profile cutting devices. For ease of explanation, only the parts relevant to this application are shown, such as... Figure 8 As shown, the system 80 includes: Cut surface image information acquisition module 81: used to acquire first cut surface image information of a first aluminum profile to be detected and second cut surface image information of a second aluminum profile to be detected based on a preset image sensor, wherein the cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected; Profile edge information generation module 82: used to generate first profile edge information based on the first cutting surface image information according to the preset edge extraction algorithm, and to generate second profile edge information based on the second cutting surface image information according to the edge extraction algorithm; Cutting quality assessment information generation module 83: used to generate cutting quality assessment information based on the edge information of the first profile and the edge information of the second profile.

[0057] Optionally, the cutting quality assessment information may be either "cutting quality qualified" or "cutting quality unqualified"; the system 80 also includes: Standard cutting surface image information acquisition module: used to acquire standard cutting surface image information; Profile Standard Edge Information Generation Module: Used to generate profile standard edge information based on the standard cut surface image information using an edge extraction algorithm; Standard edge range information generation module: used to generate standard edge range information based on the standard edge information of the profile and the preset compliance offset value information.

[0058] Accordingly, the above-mentioned cutting quality assessment information generation module 83 includes: First profile edge information judgment submodule: used to determine whether the edge information of the first profile and the edge information of the second profile are both within the standard edge range information; Cutting quality qualified information generation submodule: If the edge information of the first profile and the edge information of the second profile are both within the standard edge range information, then cutting quality qualified information is generated. Cutting quality failure information generation submodule: If either the edge information of the first profile or the edge information of the second profile is not within the standard edge range information, then cutting quality failure information will be generated.

[0059] Optionally, if a cutting quality defect information is generated, the system 80 may also include: Stop cutting command generation module: used to generate and execute stop cutting commands based on information about substandard cutting quality. The stop cutting command is used to instruct the aluminum profile cutting device to stop continuing to operate. Profile number information acquisition module: used to acquire the profile number information of the second aluminum profile to be inspected; Abnormal Product Label Information Generation Module: Used to generate abnormal product label information based on profile number information.

[0060] Optionally, the system 80 also includes: Cumulative Cutting Time Information Acquisition Module: Used to acquire the cumulative cutting time information of the aluminum profile cutting device; Abnormal Product Tag Information Sending Module: Used to send abnormal product tag information and cumulative cutting time information to the designated terminal of the operation and maintenance personnel.

[0061] Optionally, if a cutting quality defect information is generated, the system 80 may also include: Critical anomaly edge information generation module: If the edge information of the first profile is within the standard edge range information and the edge information of the second profile is not within the standard edge range information, then the critical anomaly edge information is generated based on the edge information of the first profile. Third profile edge information acquisition module: used to acquire the third profile edge information of the third aluminum profile to be inspected in response to the repair completion command and the cutting start command; Third profile edge information comparison module: used to compare the edge information of the third profile and the critical abnormal edge information; Preparatory anomaly alert information generation module: This module generates a preparatory anomaly alert information if the edge information of the third profile coincides with the edge information of the critical anomaly.

[0062] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0063] This application also provides a terminal device, such as... Figure 9 As shown, the terminal device 90 of this embodiment includes: a processor 91, a memory 92, and a computer program 93 stored in the memory 92 and executable on the processor 91. When the processor 91 executes the computer program 93, it implements the steps in the above-described cutting quality monitoring method embodiment, for example... Figure 1 Steps S100 to S300 are shown; or, when processor 91 executes computer program 93, it implements the functions of each module in the above-described device, for example... Figure 8The functions of modules 81 to 83 are shown.

[0064] The terminal device 90 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The terminal device 90 includes, but is not limited to, a processor 91 and a memory 92. Those skilled in the art will understand that... Figure 9 This is merely an example of terminal device 90 and does not constitute a limitation on terminal device 90. It may include more or fewer components than shown, or combine certain components, or different components. For example, terminal device 90 may also include input / output devices, network access devices, buses, etc.

[0065] The processor 91 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0066] The memory 92 can be an internal storage unit of the terminal device 90, such as the hard disk or memory of the terminal device 90. The memory 92 can also be an external storage device of the terminal device 90, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device 90. Furthermore, the memory 92 can include both internal storage units and external storage devices of the terminal device 90. The memory 92 can also store computer program 93 and other programs and data required by the terminal device 90. The memory 92 can also be used to temporarily store data that has been output or will be output.

[0067] One embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0068] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the methods, principles and structures of this application should be covered within the scope of protection of this application.

Claims

1. A method for monitoring the cutting quality of an aluminum profile cutting device, characterized in that, The method includes: Based on a preset image sensor, the first cut surface image information of the first aluminum profile to be detected and the second cut surface image information of the second aluminum profile to be detected are acquired, wherein the cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected. Based on a preset edge extraction algorithm, first profile edge information is generated according to the first cut surface image information, and second profile edge information is generated according to the second cut surface image information based on the edge extraction algorithm. Based on the edge information of the first profile and the edge information of the second profile, cutting quality assessment information is generated.

2. The method according to claim 1, characterized in that, The cutting quality assessment information is either information indicating that the cutting quality is qualified or information indicating that the cutting quality is unqualified. Before generating cutting quality assessment information based on the first profile edge information and the second profile edge information, the method further includes: Obtain standard cut surface image information; Based on the edge extraction algorithm, standard edge information of the profile is generated according to the standard cutting surface image information; Based on the standard edge information of the profile and the preset compliance offset value information, standard edge range information is generated; Accordingly, generating cutting quality assessment information based on the first profile edge information and the second profile edge information includes: Determine whether both the first profile edge information and the second profile edge information are within the standard edge range information; If both the first profile edge information and the second profile edge information are within the standard edge range information, then a cutting quality qualified information is generated; If either the first profile edge information or the second profile edge information is not within the standard edge range information, then a cutting quality failure information is generated.

3. The method according to claim 2, characterized in that, If the cutting quality failure information is generated, then after generating the cutting quality assessment information based on the first profile edge information and the second profile edge information, the method further includes: Based on the information about the substandard cutting quality, a stop cutting command is generated and executed, wherein the stop cutting command is used to instruct the aluminum profile cutting device to stop continuing to operate; Obtain the profile number information of the second aluminum profile to be tested; Based on the profile number information, abnormal product label information is generated.

4. The method according to claim 3, characterized in that, After generating abnormal product label information based on the profile number information, the method further includes: Obtain the cumulative cutting time information of the aluminum profile cutting device; Send the abnormal product tag information and cumulative cutting time information to the designated terminal of the operation and maintenance personnel.

5. The method according to claim 2, characterized in that, If the cutting quality failure information is generated, then after generating the cutting quality assessment information based on the first profile edge information and the second profile edge information, the method further includes: If the first profile edge information is within the standard edge range information and the second profile edge information is not within the standard edge range information, then critical abnormal edge information is generated based on the first profile edge information. In response to the repair completion command and the cutting start command, the edge information of the third aluminum profile to be inspected is obtained; Compare the edge information of the third profile with the critical abnormal edge information; If the edge information of the third profile coincides with the edge information of the critical anomaly, a preparatory anomaly warning message is generated.

6. A cutting quality monitoring system suitable for aluminum profile cutting devices, characterized in that, The system includes: Cut surface image information acquisition module: used to acquire first cut surface image information of a first aluminum profile to be detected and second cut surface image information of a second aluminum profile to be detected based on a preset image sensor, wherein the cutting time of the first aluminum profile to be detected is earlier than the cutting time of the second aluminum profile to be detected; Profile edge information generation module: used to generate first profile edge information based on the first cut surface image information according to a preset edge extraction algorithm, and to generate second profile edge information based on the second cut surface image information according to the edge extraction algorithm; Cutting quality assessment information generation module: used to generate cutting quality assessment information based on the edge information of the first profile and the edge information of the second profile.

7. The system according to claim 6, characterized in that, The system also includes: Standard cutting surface image information acquisition module: used to acquire standard cutting surface image information; Profile standard edge information generation module: used to generate profile standard edge information based on the edge extraction algorithm and the standard cutting surface image information; Standard edge range information generation module: used to generate standard edge range information based on the standard edge information of the profile and the preset compliance offset value information.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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