Cutter vision management monitoring method and device

Abstract

The invention discloses a cutter visual management monitoring method and device, and relates to the technical field of image data processing, and the method comprises the steps: monitoring a target cutter from multiple angles through an image collection device, generating a cutter tagging identifier and cutter image information, and storing the cutter tagging identifier and the cutter image information in a cutter file; based on the cutter image information, an image recognition tool is used for delimiting a recognition area, the recognition area is strengthened, and the recognition area is an outer circle edge opening of the target cutter; the recognition area and a preset area are judged, the preset area is based on the outer circle edge opening image information of the standard cutter, and if the recognition area conforms to the characteristics of the preset area, it is judged that the target cutter is not abraded; and otherwise, if the target cutter is abraded, generating an abrasion detection report according to the abrasion position, the abrasion degree and other results, updating the abrasion detection report to the cutter file with the same cutter tagging mark by utilizing the database management tool, and marking the record of the target cutter in the cutter file.

Description

Technical Field

[0001] The present application relates to the technical field of image data processing, and in particular to a tool visual management and monitoring method and device. Background Art

[0002] As a key cutting tool, circular slitting knives are widely used in the longitudinal cutting process of various precision tubes and bars. Their cutting accuracy and stability are directly related to product quality. In daily production, to ensure that circular slitting knives are always in good working condition, companies or manufacturers usually adopt some conventional monitoring solutions.

[0003] A common method is regular manual spot checks, whereby operators remove the currently used or spare slitting circular knives from the production line at predetermined time intervals and use the naked eye and simple measuring tools to roughly check the wear of the blades and whether there are obvious cracks on the surface of the tool. However, the manual spot check method has limited observation accuracy, and it is difficult to detect minor flaws such as slight wear. Secondly, some companies or manufacturers will also introduce some simple image monitoring equipment to capture the appearance image of the tool when the tool passes through a specific inspection station. The staff will then compare the image with the standard image to determine the tool status. However, the image acquisition accuracy is not high, making it difficult to clearly present changes in the key parts of the tool's outer edge, making it impossible to achieve comprehensive monitoring and management.

[0004] In view of this, we need a tool visual management and monitoring method and device to solve the above problems. Summary of the Invention

[0005] The purpose of this application is to solve the problem that the existing tool monitoring methods are difficult to clearly present the defects of the key parts of the outer circular edge of the tool and cannot achieve comprehensive monitoring and management. In order to solve the above technical problems, a tool visual management monitoring method and device are provided that can clearly present the defects of the key parts of the outer circular edge of the tool and achieve comprehensive monitoring and management.

[0006] To achieve the above-mentioned purpose, the embodiment of the present application adopts the following technical solutions: a tool visual management and monitoring method, wherein the method includes: obtaining a target tool, the target tool is a longitudinal cutting circular knife, and placing the target tool to be detected on a preset detection platform; coding the target tool, and monitoring the target tool from multiple angles through an image acquisition device, and generating a tool coding mark and tool image information and saving them to the tool file, the tool coding mark is a QR code mark or a barcode mark, etc.; based on the tool image information, using an image recognition tool to perform edge detection, tracking the contour of the outer circular edge of the target tool, and using the contour line of the target tool as a reference, expanding the preset expansion width value inward as the recognition area domain, and strengthen the recognition area, wherein the preset expansion width value is to cover the key parts of the target tool that are prone to defects; the recognition area and the preset area are judged, and the preset area is based on the image information of the outer circle edge of the standard tool. If the characteristics of the recognition area and the preset area are consistent, it is determined that the target tool has no wear; otherwise, if there is wear, a wear detection report is generated based on the results such as the location and degree of wear. The database management tool is used to update the wear detection report to the tool file with the same tool coding identification, and the record of the target tool in the tool file is marked; based on the degree of wear, the marked target tool is moved from the detection platform to the operation platform for corresponding processing.

[0007] Further, according to an embodiment of the present application, the method includes: based on the wear detection report, associating the wear detection report with production information of the target tool, wherein the generated information includes the production batch number and process parameters of the target tool.

[0008] Furthermore, according to an embodiment of the present application, the method further includes: tracing the causes of defects and analyzing the frequency of occurrence of similar defects in different batches of tools based on the wear detection report and production information to warn of quality risks of the target tools.

[0009] Further, according to an embodiment of the present application, the target tool is monitored from multiple angles by an image acquisition device. The method specifically includes: the image acquisition device monitors from multiple angles, and the angles of the image acquisition device include directions perpendicular to the axis of the target tool directly above and on both sides of the axis of the target tool at a 45-degree angle; the acquisition light source of the image acquisition device can adjust the color temperature and brightness according to the reflective characteristics of the target tool, wherein the acquisition light source is a lamp group with adjustable color temperature and brightness.

[0010] Further, according to an embodiment of the present application, based on the degree of wear, the marked target tool is moved from the detection platform to the operating platform for corresponding processing. The method specifically includes: if the degree of wear is light wear, the operating platform is used to grind according to the original blade angle parameters of the tool until the target tool restores its sharpness so that it can continue to be put into use; if the degree of wear is moderate wear, welding materials matching the material of the target tool are selected to fill the worn area, and then the target tool is restored through grinding until the identification area is judged to meet the standards and can be used again; if the degree of wear is heavy wear, a wear warning message is generated.

[0011] Furthermore, according to an embodiment of the present application, the method further includes: based on the wear warning information, updating the wear warning information to the tool file in real time, and issuing an early warning to the staff.

[0012] To achieve the above-mentioned purpose, the embodiment of the present application also adopts the following technical solutions: a tool visual management and monitoring device, which includes: a tool acquisition module, the tool acquisition module is used to acquire the target tool, the target tool is a longitudinal cutting circular knife, and the target tool to be detected is placed on a preset detection platform; a tool coding module, the tool coding module is used to perform coding operations on the target tool, and at the same time monitor the target tool from multiple angles through the image acquisition device, and generate a tool coding mark and tool image information and save it to the tool file. The tool coding mark is a QR code mark or a barcode mark, etc.; an identification area demarcation module, the identification area demarcation module is used to perform edge detection based on the tool image information using an image recognition tool, track the contour of the outer circular edge of the target tool, and use the contour line of the target tool as a reference to expand the preset expansion width value inward as the identification area , and strengthen the recognition area, wherein the preset expansion width value is to cover the key parts of the target tool that are prone to defects; the tool judgment module, the tool judgment module is used to judge the recognition area and the preset area, the preset area is based on the outer circle edge image information of the standard tool, if the characteristics of the recognition area and the preset area are consistent, it is determined that the target tool has no wear; the tool wear detection module, the tool wear detection module is used to, on the contrary, if there is wear, then a wear detection report is generated according to the results such as the wear location and wear degree, and the database management tool is used to update the wear detection report to the tool file with the same tool coding identification, and mark the record of the target tool in the tool file; the tool processing module, the tool processing module is used to move the marked target tool from the detection platform to the operation platform for corresponding processing based on the wear degree.

[0013] Furthermore, according to an embodiment of the present application, the device also includes: a wear report association module, which is used to associate the wear detection report with the production information of the target tool based on the wear detection report, wherein the generated information includes the production batch number and process parameters of the target tool, etc.

[0014] To achieve the above objectives, an embodiment of the present application further discloses a processor, which is used to execute one of the above-mentioned tool visual management and monitoring methods.

[0015] To achieve the above-mentioned purpose, an embodiment of the present application further discloses a memory, which is used to store instructions and information of the above-mentioned tool visual management and monitoring method.

[0016] The present application performs a coding operation on the target tool, and monitors the target tool from multiple angles through an image acquisition device, and generates a tool coding mark and tool image information and saves them in a tool file. The tool coding mark is a QR code mark or a barcode mark, etc.; based on the tool image information, an image recognition tool is used to delineate an identification area, and the identification area is enhanced, and the identification area is the outer cylindrical edge of the target tool; the identification area is judged against a preset area, and the preset area is based on the outer cylindrical edge image information of a standard tool. If the characteristics of the identification area and the preset area are consistent, it is determined that the target tool has no wear; otherwise, there is wear, and a wear detection report is generated based on the results such as the location and degree of wear. The database management tool is used to update the wear detection report to the tool file with the same tool coding mark, and the record of the target tool in the tool file is marked, so as to realize comprehensive monitoring and management of the tool, thereby achieving the effect of clearly presenting the defects of the key parts of the outer cylindrical edge of the tool, and achieving better comprehensive monitoring and management, solving the problem that the existing tool monitoring method is difficult to clearly present the defects of the key parts of the outer cylindrical edge of the tool and cannot realize comprehensive monitoring and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present application is further described below with reference to the accompanying drawings and examples.

[0018] Figure 1 This is a flow chart of a tool visual management and monitoring method of the present application.

[0019] Figure 2 This is a schematic diagram of a tool visual management and monitoring device of the present application.

[0020] Figure 3 It is a structural diagram of the electronic device of this application. DETAILED DESCRIPTION

[0021] In order to clearly and completely describe the objectives and technical solutions of the present invention and make the advantages more clearly understood, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, not all of them, and are only used to explain the embodiments of the present invention, not to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] In the description of the present invention, it should be noted that the terms "center," "middle," "upper," "lower," "left," "right," "inner," "outer," "top," "bottom," "side," "vertical," "horizontal," and the like, indicating positions or location relationships, are based on the positions or location relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They are not intended to indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, the terms "one," "first," "second," "third," "fourth," "fifth," and "sixth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0023] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0024] For the purpose of simplicity and illustration, the principles of the embodiments are described primarily with reference to examples. In the following description, many specific details are provided to provide a thorough understanding of the embodiments. However, it will be apparent to those skilled in the art that these embodiments may not be limited to these specific details in practice. In some instances, well-known methods and structures are not described in detail to avoid unnecessarily obscuring the understanding of these embodiments. In addition, all embodiments may be used in combination with each other. Example 1

[0025] like Figure 1 As shown, this embodiment provides a tool visual management and monitoring method, wherein the method includes: S10, obtaining a target tool, which is a slitting circular tool, and placing the target tool to be tested on a preset testing platform; S20, performing a coding operation on the target tool, and simultaneously monitoring the target tool from multiple angles through an image acquisition device, and generating a tool coding mark and tool image information and saving them to the tool file. The tool coding mark is a QR code mark or a bar code mark, etc.; First, determine the tool coding and identification to be used, which can be a barcode, QR code, or radio frequency identification. Generate a unique identification code for each tool based on the selected identification. For barcodes and QR codes, you can use professional identification code generation software or online generation tools. For radio frequency identification, you need to assign a unique radio frequency identification chip to each tool and bind the identification code to the chip. Secondly, mark the generated identification code in a fixed position on the tool to ensure easy identification and non-damage. Associate each tool's identification code with related information, such as tool type, specifications, manufacturer, etc. Among them, the image acquisition device monitors from multiple angles, including the angles directly above the axis of the target tool, and the two sides of the axis of the target tool at a 45-degree angle; the acquisition light source of the image acquisition device can adjust the color temperature and brightness according to the reflective characteristics of the target tool, among which the acquisition light source is a lamp group with adjustable color temperature and brightness.

[0026] When monitoring from multiple angles, the image acquisition device simultaneously captures image information from three angles, including one perpendicular to the tool's axis, directly above it, and on either side at a 45-degree angle to the axis. Each angle is equipped with an LED light source with adjustable color temperature and brightness. The color temperature and brightness are precisely adjusted to a specific value based on the reflective properties of the tool's surface material. Tool image information captured through light source control prevents interference from shadows and reflections, clearly and delicately displaying the subtle texture of the tool's outer edge, significantly improving the accuracy of defect detection.

[0027] S30, based on the tool image information, using an image recognition tool to perform edge detection, tracking the contour of the outer edge of the target tool, using the contour line of the target tool as a reference, expanding inward by a preset expansion width as a recognition area, and performing a strengthening process on the recognition area, wherein the preset expansion width value is to cover the key parts of the target tool that are prone to defects; When setting the recognition area, the image recognition tool's edge detection function is leveraged to track the contour of the target tool's outer edge. Using this contour as a baseline, the system expands inward by a preset width (assuming it's 5mm) to define the actual recognition area. This expansion width not only comprehensively covers the critical areas of the tool most prone to defects, but also eliminates interference from edge irregularities caused by tool machining tolerances, thereby accurately focusing on the extraction of typical defect features such as blade wear and chipping.

[0028] S40, comparing the recognition area with a preset area, where the preset area is based on image information of the outer edge of a standard tool. If the features of the recognition area match those of the preset area, it is determined that the target tool is not worn; S50: If wear is present, a wear detection report is generated based on the location and degree of wear, and the database management tool is used to update the wear detection report to a tool file with the same tool coding identifier, and the record of the target tool in the tool file is marked; S60: Based on the degree of wear, the marked target tool is moved from the detection platform to the operation platform for corresponding processing.

[0029] The method specifically includes the following: If the wear is mild, grinding is performed using the operating platform according to the original cutting edge parameters until the target tool is sharpened and can be used again. If the wear is moderate, welding material matching the target tool material is used to fill the worn area. The target tool is then restored through grinding until the identified area meets the standards and can be used again. If the wear is severe, a wear warning message is generated. Based on this wear warning information, the tool file is updated in real time, and personnel are warned.

[0030] If the degree of wear is mild, with only slight blunting on the edge of the blade, the sharpness of the tool can be restored through appropriate grinding without affecting the processing accuracy and efficiency, so that it can continue to be put into use; when the wear reaches a moderate degree, such as an obvious wear band on the blade with a width within a certain range, the worn area can be repaired by welding first. Select welding materials that match the target tool material to fill the worn part, and then perform precision grinding to restore the tool's external dimensions and edge accuracy. The repaired tool can be used again after passing strict testing; if the degree of wear is severe, the blade is chipped and the tool is deformed, and its performance can no longer be restored through conventional repair methods. It is not recommended to continue using it at this time, because this will not only lead to a serious decline in the quality of the processed product, but may also cause equipment failure and even threaten the safety of the operator. Such tools should be scrapped in a timely manner and replaced with new qualified tools.

[0031] Furthermore, the method also includes: based on the wear detection report, associating the wear detection report with the production information of the target tool, wherein the generated information includes the production batch number and process parameters of the target tool; based on the wear detection report and production information, tracing the cause of the defect and analyzing the frequency of occurrence of similar defects in different batches of tools to warn of quality risks of the target tool.

[0032] When a target tool is identified as having a defect, the wear inspection report generated not only covers basic information such as defect type, location, and severity, but also links multiple dimensions such as the tool's production batch number and machining parameters. This allows for comprehensive data correlation, enabling in-depth tracing of the defect's root cause and providing detailed and reliable data support for subsequent tool improvements and process upgrades. Leveraging big data technology, we can conduct in-depth analysis of the frequency of similar defects across different batches of tools, issuing early warnings of potential quality risks and effectively reducing product scrap rates.

[0033] The present application performs a coding operation on the target tool, and monitors the target tool from multiple angles through an image acquisition device, and generates a tool coding mark and tool image information and saves them in a tool file. The tool coding mark is a QR code mark or a barcode mark, etc.; based on the tool image information, an image recognition tool is used to delineate an identification area, and the identification area is enhanced, and the identification area is the outer cylindrical edge of the target tool; the identification area is judged against a preset area, and the preset area is based on the outer cylindrical edge image information of a standard tool. If the characteristics of the identification area and the preset area are consistent, it is determined that the target tool has no wear; otherwise, there is wear, and a wear detection report is generated based on the results such as the location and degree of wear. The database management tool is used to update the wear detection report to the tool file with the same tool coding mark, and the record of the target tool in the tool file is marked, so as to realize comprehensive monitoring and management of the tool, thereby achieving the effect of clearly presenting the defects of the key parts of the outer cylindrical edge of the tool, and achieving better comprehensive monitoring and management, solving the problem that the existing tool monitoring method is difficult to clearly present the defects of the key parts of the outer cylindrical edge of the tool and cannot realize comprehensive monitoring and management. Example 2

[0034] like Figure 2 As shown, based on the same inventive concept as the tool visual management and monitoring method in the aforementioned embodiment, the present invention further provides a tool visual management and monitoring device, which includes: The tool acquisition module is used to acquire the target tool, which is a slitting circular knife, and place the target tool to be tested on a preset testing platform; Tool coding module: The tool coding module is used to code the target tool. At the same time, it monitors the target tool from multiple angles through the image acquisition device, and generates tool coding identification and tool image information and saves them into the tool file. The tool coding identification is a QR code identification or barcode identification, etc. The recognition area demarcation module is used to perform edge detection based on the tool image information using image recognition tools, track the contour of the outer edge of the target tool, and expand the preset expansion width value inward as the recognition area based on the contour line of the target tool, and strengthen the recognition area. The preset expansion width value is to cover the key parts of the target tool that are prone to defects; Tool judgment module, which is used to judge the recognition area with the preset area. The preset area is based on the image information of the outer edge of the standard tool. If the characteristics of the recognition area and the preset area are consistent, it is determined that the target tool is not worn; Tool wear detection module: If there is wear, the tool wear detection module generates a wear detection report based on the location and degree of wear. The database management tool is used to update the wear detection report to the tool file with the same tool coding identifier, and mark the record of the target tool in the tool file; The tool processing module is used to move the marked target tool from the detection platform to the operation platform for corresponding processing based on the degree of wear.

[0035] Furthermore, according to an embodiment of the present application, the device also includes: a wear report association module, which is used to associate the wear detection report with the production information of the target tool based on the wear detection report, wherein the generated information includes the production batch number and process parameters of the target tool; a defect tracing module, which is used to trace the cause of the defect and analyze the frequency of occurrence of similar defects in different batches of tools based on the wear detection report and production information, so as to warn of the quality risk of the target tool.

[0036] The various variations and specific examples of the tool visual management and monitoring method in the aforementioned embodiment 1 are also applicable to a tool visual management and monitoring device in this embodiment. Through the aforementioned detailed description of a tool visual management and monitoring method, those skilled in the art can clearly know the implementation method of a tool visual management and monitoring device in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. Example 3

[0037] like Figure 3 As shown, the electronic device includes one or more processors and memory.

[0038] The processor may be a central processing unit (CPU) or other form of processing unit with data processing capability and / or instruction execution capability, and may control other components in the electronic device to perform desired functions.

[0039] The memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may execute the program instructions to implement the tool visual management and monitoring method described in the various embodiments of the present application and / or other desired functions. The computer-readable storage medium may also store various contents, such as tool image information.

[0040] Secondly, the electronic device also includes an input device and an output device, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0041] For example, when the electronic device is a stand-alone device, the input device may be a communication network connector. In addition, the input device may also include, for example, a keyboard, a mouse, and the like.

[0042] The output device can output various information to the outside, including the generated wear detection report, etc. The output device can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0043] Of course, for simplicity, the figure only shows some components of the electronic device related to the present application, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device may further include any other appropriate components depending on the specific application.

[0044] In addition, an embodiment of the present application may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute the steps of a tool visual management and monitoring method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0045] The computer-readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can, for example, include but is not limited to a system, device or component of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0046] Although the above describes the illustrative specific implementation methods of the present application so that those skilled in the art can understand the present application, the present application is not limited to the scope of the specific implementation methods. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present application defined and determined by the attached claims, all application creations based on the concept of the present application are protected.

Claims

1. A tool visual management and monitoring method, wherein: The method comprises: Obtain a target tool, which is a slitting circular knife, and place the target tool to be tested on a preset testing platform; The target tool is coded, and the target tool is monitored from multiple angles by an image acquisition device, and a tool coding mark and tool image information are generated and saved in a tool file. The tool coding mark is a QR code mark or a bar code mark, etc.; Based on the tool image information, an image recognition tool is used to perform edge detection, the contour of the outer circular edge of the target tool is tracked, and a preset expansion width value is expanded inwardly as a recognition area based on the contour line of the target tool, and the recognition area is strengthened, wherein the preset expansion width value covers the key parts of the target tool that are prone to defects; Comparing the identified area with a preset area, wherein the preset area is based on image information of the outer edge of a standard tool, and if the features of the identified area and the preset area are consistent, it is determined that the target tool is not worn; On the contrary, if there is wear, a wear detection report is generated according to the results such as the location and degree of wear, and the database management tool is used to update the wear detection report to the tool file with the same tool coding identifier, and the record of the target tool in the tool file is marked; Based on the degree of wear, the marked target tool is moved from the detection platform to the operation platform for corresponding processing; Based on the wear detection report, the wear detection report is associated with production information of the target tool, wherein the generated information includes a production batch number and process parameters of the target tool; Based on the wear detection report and the production information, trace the cause of the defect and analyze the frequency of occurrence of similar defects in different batches of tools to warn of quality risks of the target tool; Based on the degree of wear, the marked target tool is moved from the detection platform to the operation platform for corresponding processing, and the method specifically includes: If the degree of wear is light wear, the tool is ground using the operating platform according to the original blade angle parameters of the tool until the target tool is restored to its sharpness so that it can be put into use again; If the wear level is moderate, welding material matching the target tool material is selected to fill the worn area, and then the target tool is restored by grinding until the identified area is judged to meet the standard and can be used again; If the degree of wear is severe, a wear warning message is generated.

2. A tool visual management and monitoring method according to claim 1, characterized in that: The target tool is monitored from multiple angles by an image acquisition device, and the method specifically includes: The image acquisition device monitors from multiple angles, including the angles of the image acquisition device directly above the axis of the target tool, perpendicular to the axis of the target tool, and at both sides of the axis at an angle of 45 degrees to the axis of the target tool; The acquisition light source of the image acquisition device can adjust the color temperature and brightness according to the reflective characteristics of the target tool, wherein the acquisition light source is a lamp group with adjustable color temperature and brightness.

3. A tool visual management and monitoring method according to claim 1, characterized in that: The method further comprises: Based on the wear warning information, the wear warning information is updated in real time to the tool file, and an early warning is given to the staff.

4. A tool visual management and monitoring device, characterized in that: The device comprises: A tool acquisition module is used to acquire a target tool, which is a slitting circular tool, and place the target tool to be tested on a preset testing platform; A tool coding module is used to perform coding operations on the target tool, monitor the target tool from multiple angles through an image acquisition device, and generate a tool coding mark and tool image information and save them to the tool file. The tool coding mark can be a QR code mark or a bar code mark, etc.; an identification area demarcation module, the identification area demarcation module being configured to perform edge detection based on the tool image information using an image recognition tool, trace the contour of the outer circular edge of the target tool, expand inward by a preset expansion width value based on the contour line of the target tool as a reference, and perform a strengthening process on the identification area, wherein the preset expansion width value covers a key part of the target tool that is prone to defects; a tool determination module, the tool determination module being configured to determine whether the target tool is worn or not by comparing the identified area with a preset area, the preset area being based on image information of an outer circular edge of a standard tool, and if the features of the identified area and the preset area are consistent, determining that the target tool is not worn or not; A tool wear detection module is used to generate a wear detection report based on the location and degree of wear if wear is present, update the wear detection report to the tool file with the same tool coding identifier using a database management tool, and mark the record of the target tool in the tool file; A tool processing module is used to move the marked target tool from the detection platform to the operation platform for corresponding processing based on the wear degree.

5. A wear report association module, configured to associate the wear detection report with production information of the target tool based on the wear detection report, wherein the generated information includes a production batch number and process parameters of the target tool; Defect tracing module: This module is used to trace the causes of defects and analyze the frequency of similar defects in different batches of tools based on wear detection reports and production information, so as to warn of quality risks of target tools; When the tool processing module executes the program, the following steps are implemented: based on the degree of wear, the marked target tool is moved from the detection platform to the operation platform for corresponding processing, and the method specifically includes: If the degree of wear is light wear, the operating platform is used to grind the tool according to the original blade angle parameters until the target tool restores its sharpness and can continue to be used; if the degree of wear is moderate wear, welding materials matching the material of the target tool are selected to fill the worn area, and then the target tool is restored through grinding until the identified area is judged to meet the standards and can be used again; if the degree of wear is heavy wear, a wear warning message is generated.

6. An electronic device comprising: processor; A memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes a tool visual management and monitoring method according to any one of claims 1 to 3.

7. A computer-readable storage medium having computer program instructions stored thereon, wherein when the computer program instructions are executed by a processor, the processor is enabled to execute the tool visual management and monitoring method according to any one of claims 1 to 3.

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