An optimized production method and system for producing microcrystalline anode phosphorus copper for electroplating using recycled copper

Abstract

The present application is applicable to the technical field of phosphor copper production, and provides an optimized production method and system for producing microcrystalline anode phosphor copper for electroplating using recycled copper, wherein the method includes continuously acquiring real-time image information based on a shooting device, and then accurately generating the first material contour line information and the second material contour line information based on the real-time image information and the contour recognition algorithm, and finally quickly generating the production status diagnosis result information based on the first material contour line information, the second material contour line information and the outer diameter threshold information. The present application can realize real-time monitoring of whether there are production failures in the microcrystalline phosphor copper production line, significantly improve the reliability and stability of the entire microcrystalline anode phosphor copper production process, and thus improve the product quality of microcrystalline anode phosphor copper.

Description

Technical Field

[0001] The present application relates to the technical field of phosphor copper production, and in particular to an optimized production method and system thereof for producing microcrystalline anode phosphor copper for electroplating using recycled copper. Background Art

[0002] Microcrystalline anodic phosphor copper is mainly composed of copper and a small amount of phosphorus. In the manufacturing process of PCB, it can be used as the anode material of the electroplated copper layer. Moreover, since microcrystalline anodic phosphor copper has a uniform microcrystalline structure, it can provide more uniform copper ions during the electroplating process.

[0003] At present, microcrystalline phosphor copper production lines usually adopt manual regular maintenance, lack of automatic diagnosis mechanism, and cannot detect existing production faults in time, resulting in an increase in the defective rate and low reliability, which needs further improvement. Summary of the invention

[0004] Based on this, the embodiments of the present application provide an optimized production method and system for producing microcrystalline anode phosphor copper for electroplating using recycled copper to solve the problem of low reliability in the prior art.

[0005] In a first aspect, an embodiment of the present application provides an optimized production method for producing microcrystalline anode phosphor copper for electroplating using recycled copper, which is applied to a microcrystalline phosphor copper production line, and the method comprises:

[0006] Based on a preset shooting device, real-time shooting image information is obtained, wherein the shooting device is located at the discharge port of the microcrystalline phosphor copper production line;

[0007] Generate material contour line information according to the real-time captured image information and a preset contour recognition algorithm, wherein the material contour line information includes first material contour line information and second material contour line information;

[0008] Production status diagnosis result information is generated according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

[0009] Compared with the prior art, the beneficial effects are as follows: in the optimized production method for producing microcrystalline anode phosphor copper for electroplating using recycled copper provided in the embodiment of the present application, the terminal device can continuously obtain real-time image information based on the shooting device, and then accurately generate the first material contour line information and the second material contour line information according to the real-time image information and the contour recognition algorithm, and finally accurately generate the production status diagnosis result information according to the first material contour line information, the second material contour line information and the outer diameter threshold information, thereby realizing timely discovery of production faults existing in the microcrystalline phosphor copper production line, greatly improving reliability, and to a certain extent solving the current low reliability problem.

[0010] In a second aspect, the embodiment of the present application provides an optimized production system for producing microcrystalline anode phosphor copper for electroplating using recycled copper, which is applied to a microcrystalline phosphor copper production line, and the system includes:

[0011] A real-time shooting image information acquisition module: used to acquire real-time shooting image information based on a preset shooting device, wherein the shooting device is located at the discharge port of the microcrystalline phosphor copper production line;

[0012] A material contour information generating module: used to generate material contour information according to the real-time captured image information and a preset contour recognition algorithm, wherein the material contour information includes first material contour information and second material contour information;

[0013] Production status diagnosis result information generation module: used to generate production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

[0014] In a third aspect, an embodiment of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect described above when executing the computer program.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect described above are implemented.

[0016] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0018] Figure 1 It is a schematic diagram of a process of an optimized production method provided in one embodiment of the present application;

[0019] Figure 2 is a flow chart of step S300 in the optimized production method provided in one embodiment of the present application;

[0020] Figure 3 is a flow chart of step S200 in the optimized production method provided in one embodiment of the present application;

[0021] Figure 4It is a schematic diagram of the process after step S300 in the optimized production method provided in one embodiment of the present application;

[0022] Figure 5 It is a module block diagram of an optimized production system provided by an embodiment of the present application;

[0023] Figure 6 It is a schematic diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0024] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0025] In the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0026] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0027] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.

[0028] See also Figure 1 , Figure 11 is a schematic flow chart of an optimized production method for producing microcrystalline anode phosphor copper for electroplating using recycled copper provided in an embodiment of the present application. In this embodiment, the execution subject of the optimized production method is a terminal device. It is understood that the types of terminal devices include but are not limited to mobile phones, tablet computers, laptop computers, ultra-mobile personal computers (Ultra-Mobile Personal Computer, UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and the embodiments of the present application do not impose any restrictions on the specific types of terminal devices.

[0029] See also Figure 1 The optimized production method provided in the embodiments of the present application includes but is not limited to the following steps:

[0030] In S100, real-time captured image information is acquired based on a preset shooting device.

[0031] Without loss of generality, the optimized production method can be applied to a microcrystalline phosphor copper production line, which is used to produce microcrystalline phosphor copper.

[0032] Specifically, the terminal device can obtain real-time image information based on a preset shooting device, wherein the shooting device can be an industrial camera, and the shooting device is located at the discharge port of the microcrystalline phosphor copper production line. The real-time image information is used to describe the image obtained by the shooting device shooting the material at the discharge port, and the material is microcrystalline phosphor copper.

[0033] In S200, material contour line information is generated according to real-time captured image information and a preset contour recognition algorithm.

[0034] Specifically, after the terminal device obtains the real-time image information, the terminal device can identify the material contour in the real-time image information based on a preset contour recognition algorithm, and generate material contour line information, wherein the material contour line information includes first material contour line information and second material contour line information, the first material contour line information is used to describe one of the contour lines of the material, such as the top contour line of the material; the second material contour line information is used to describe another contour line of the material, such as the contour line above the bottom of the material.

[0035] In S300, production status diagnosis result information is generated according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

[0036] Specifically, after the terminal device generates the material contour line information, the terminal device can accurately generate the production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information, wherein the production status diagnosis result information is used to evaluate the production status of the microcrystalline phosphor copper production line, and the production status diagnosis result information is normal status information or abnormal status information. The normal status information is used to describe that the production status of the microcrystalline phosphor copper production line is normal, and the current microcrystalline phosphor copper production line can produce microcrystalline phosphor copper with an outer diameter that meets the production requirements; the abnormal status information is used to describe that the production status of the microcrystalline phosphor copper production line is abnormal, and the current microcrystalline phosphor copper production line may be blocked by the discharge port or there are too many impurities in the raw material, which leads to the inability to produce microcrystalline phosphor copper with an outer diameter that meets the production requirements. The outer diameter threshold information includes the maximum outer diameter limit value information and the minimum outer diameter limit value information. The maximum outer diameter limit value information is used to describe the maximum outer diameter of the microcrystalline phosphor copper allowed on the premise of meeting the production requirements; the minimum outer diameter limit value information is used to describe the minimum outer diameter of the microcrystalline phosphor copper allowed on the premise of meeting the production requirements.

[0037] In some possible implementations, to generate production status diagnostic information, see Figure 2 Step S300 includes but is not limited to the following steps:

[0038] In S310, based on a preset shortest distance calculation function, real-time material outer diameter information is generated according to the first material contour line information and the second material contour line information.

[0039] Specifically, the terminal device can first calculate the shortest distance between the first material contour line information and the second material contour line information based on a preset shortest distance calculation function, and quickly generate real-time material outer diameter information, wherein the real-time material outer diameter information is used to describe the real-time outer diameter of the material.

[0040] In S320, it is determined whether the real-time material outer diameter information is less than the maximum outer diameter limit value information and the real-time material outer diameter information is greater than the minimum outer diameter limit value information.

[0041] Specifically, after the terminal device generates real-time material outer diameter information, the terminal device can determine whether the real-time material outer diameter information is less than the maximum outer diameter limit value information and greater than the minimum outer diameter limit value information.

[0042] In S330, if the real-time material outer diameter information is less than the maximum outer diameter limit value information and the real-time material outer diameter information is greater than the minimum outer diameter limit value information, the production status diagnosis result information is determined to be normal status information, otherwise the production status diagnosis result information is determined to be abnormal status information.

[0043] Specifically, if the real-time material outer diameter information is less than the maximum outer diameter limit value information and at the same time greater than the minimum outer diameter limit value information, the terminal device can accurately determine that the production status diagnosis result information is normal status information; otherwise, the terminal device can accurately determine that the production status diagnosis result information is abnormal status information.

[0044] In some possible implementations, to improve the accuracy of production status diagnostic information, see Figure 3 Step S200 includes but is not limited to the following steps:

[0045] In S210 , grayscale processing is performed on the real-time captured image information to generate grayscale captured image information.

[0046] Specifically, the terminal device can grayscale the real-time captured image information, convert the real-time captured image information into a grayscale image, and generate grayscale captured image information, wherein the grayscale captured image information is used to describe the real-time captured image information after the grayscale processing.

[0047] In S220, based on a preset contour recognition algorithm, contour recognition processing is performed on the grayscale captured image information to generate first material contour line information and second material contour line information.

[0048] Specifically, after the terminal device generates grayscale captured image information, the terminal device can perform contour recognition processing on the grayscale captured image information based on a preset contour recognition algorithm to generate first material contour line information and second material contour line information, wherein the contour recognition algorithm can be a contour recognition algorithm based on Hough transform or a Watershed algorithm, wherein the first material contour line information does not intersect with the second material contour line information.

[0049] Accordingly, after step S200, the following steps are included but not limited to:

[0050] In S201, based on a preset sharpening filter, the first material contour line information is enhanced to generate first enhanced contour line information, and the second material contour line information is enhanced to generate second enhanced contour line information.

[0051] Specifically, after the terminal device generates the first material contour line information and the second material contour line information, the terminal device can enhance the first material contour line information based on a preset sharpening filter to enhance the edge details of the first material contour line information and generate first enhanced contour line information, and at the same time enhance the second material contour line information to enhance the edge details of the second material contour line information and generate second enhanced contour line information.

[0052] Accordingly, step S300 includes but is not limited to the following steps:

[0053] In S301, production status diagnosis result information is generated according to the first enhanced contour line information, the second enhanced contour line information and the preset outer diameter threshold information.

[0054] Specifically, after the terminal device generates the first enhanced contour line information and the second enhanced contour line information, the terminal device can accurately generate the production status diagnosis result information based on the first enhanced contour line information, the second enhanced contour line information and the preset outer diameter threshold information, wherein the production process of the production status diagnosis result information can refer to the above steps S310 to S330, so it will not be repeated.

[0055] In some possible implementations, in order to facilitate maintenance personnel to accurately repair the microcrystalline phosphor copper production line, reduce the time to locate the fault location, and improve maintenance efficiency, please refer to Figure 4 If the terminal device determines that the production status diagnosis result information is abnormal status information, then after step S300, the method further includes but is not limited to the following steps:

[0056] In S400, real-time raw material component content information and historical component content information are obtained.

[0057] Specifically, the terminal device can obtain real-time raw material component content information and historical component content information, wherein the real-time raw material component content information is used to describe the component content of the recycled copper raw material corresponding to the currently produced microcrystalline phosphor copper, and the historical component content information is used to describe the component content of the recycled copper raw material corresponding to the microcrystalline phosphor copper when the qualified microcrystalline phosphor copper was produced in the history.

[0058] In S410, it is determined whether the real-time raw material component content information is equal to the historical component content information.

[0059] Specifically, after the terminal device obtains the real-time raw material component content information and the historical component content information, the terminal device can determine whether the real-time raw material component content information is equal to the historical component content information.

[0060] In S420, if the real-time raw material component content information is equal to the historical component content information, the discharge port probability defect information is generated.

[0061] Specifically, if the real-time raw material component content information is equal to the historical component content information, it indicates that the possibility of not being able to produce microcrystalline phosphor copper with an outer diameter that meets the production requirements due to excessive impurities in the raw materials is low, and it is more likely that the microcrystalline phosphor copper with an outer diameter that meets the production requirements cannot be produced due to blockage of the discharge port. Therefore, the terminal device can generate discharge port probability defect information, where the discharge port probability defect information is used to describe the high probability of abnormalities at the discharge port of the microcrystalline phosphor copper production line.

[0062] In S430, if the real-time raw material component content information is not equal to the historical component content information, raw material probabilistic defect information is generated.

[0063] Specifically, if the real-time raw material component content information is not equal to the historical component content information, it indicates that there is a high probability that too many impurities in the raw material lead to the inability to produce microcrystalline phosphor copper with an outer diameter that meets the production requirements. Therefore, the terminal device can generate raw material probability defect information, where the raw material probability defect information is used to describe the high probability of abnormalities in the raw materials of the microcrystalline phosphor copper production line.

[0064] In some possible implementations, in order to effectively reduce the number of defective products, if the terminal device determines that the production status diagnosis result information is abnormal status information, then after step S300, the method further includes but is not limited to the following steps:

[0065] In S440, a production suspension instruction is generated based on the abnormal state information.

[0066] Specifically, the terminal device can generate a production suspension instruction based on the abnormal status information and control the microcrystalline phosphor copper production line according to the production suspension instruction, wherein the production suspension instruction is used to instruct the microcrystalline phosphor copper production line to suspend operation.

[0067] The implementation principle of the optimized production method of microcrystalline anode phosphor copper for electroplating using recycled copper in the embodiment of the present application is as follows: the terminal device can continuously obtain real-time image information based on the shooting device, and then accurately generate the first material contour line information and the second material contour line information according to the real-time image information and the contour recognition algorithm, and finally quickly generate the production status diagnosis result information according to the first material contour line information, the second material contour line information and the outer diameter threshold information, so as to realize the timely discovery of production faults existing in the microcrystalline phosphor copper production line and improve reliability.

[0068] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean 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 the present application.

[0069] The embodiment of the present application also provides an optimized production system for producing microcrystalline anode phosphor copper for electroplating using recycled copper, which is applied to a microcrystalline phosphor copper production line. For ease of description, only the parts related to the present application are shown, such as Figure 5 As shown, the system 50 includes:

[0070] The real-time image information acquisition module 51 is used to acquire the real-time image information based on a preset shooting device, wherein the shooting device is located at the discharge port of the microcrystalline phosphor copper production line;

[0071] The material contour information generating module 52 is used to generate material contour information according to the real-time image information and the preset contour recognition algorithm, wherein the material contour information includes the first material contour information and the second material contour information;

[0072] The production status diagnosis result information generating module 53 is used to generate the production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

[0073] Optionally, the material contour information generating module 52 includes:

[0074] Grayscale captured image information generation submodule: used to grayscale the real-time captured image information to generate grayscale captured image information;

[0075] Material contour line information generation submodule: used to perform contour recognition processing on the grayscale captured image information based on a preset contour recognition algorithm, and generate first material contour line information and second material contour line information, wherein the first material contour line information and the second material contour line information do not intersect.

[0076] Accordingly, the system 50 further includes:

[0077] Enhanced contour information generation module: used to enhance the first material contour information based on a preset sharpening filter to generate first enhanced contour information, and enhance the second material contour information to generate second enhanced contour information;

[0078] Accordingly, the above-mentioned production status diagnosis result information generating module 53 includes:

[0079] The production status diagnosis result information generating submodule is used to generate the production status diagnosis result information according to the first enhanced contour line information, the second enhanced contour line information and the preset outer diameter threshold information.

[0080] Optionally, the outer diameter threshold value information includes maximum outer diameter limit value information and minimum outer diameter limit value information, and the production status diagnosis result information is normal status information or abnormal status information; the above-mentioned production status diagnosis result information generation module 53 includes:

[0081] A real-time material outer diameter information generating submodule: used to generate real-time material outer diameter information based on a preset shortest distance calculation function, according to the first material contour line information and the second material contour line information;

[0082] Real-time material outer diameter information judgment submodule: used to judge whether the real-time material outer diameter information is less than the maximum outer diameter limit value information and whether the real-time material outer diameter information is greater than the minimum outer diameter limit value information;

[0083] Normal status information determination submodule: used to determine that the production status diagnosis result information is normal status information if the real-time material outer diameter information is less than the maximum outer diameter limit value information and the real-time material outer diameter information is greater than the minimum outer diameter limit value information, otherwise determine that the production status diagnosis result information is abnormal status information.

[0084] Optionally, if the production status diagnosis result information is abnormal status information, the system 50 further includes:

[0085] Real-time raw material component content information acquisition module: used to obtain real-time raw material component content information and historical component content information;

[0086] Real-time raw material component content information judgment module: used to judge whether the real-time raw material component content information is equal to the historical component content information;

[0087] Discharge port probability defect information generation module: used to generate discharge port probability defect information if the real-time raw material component content information is equal to the historical component content information;

[0088] Raw material probability defect information generation module: used to generate raw material probability defect information if the real-time raw material component content information is not equal to the historical component content information.

[0089] Optionally, if the production status diagnosis result information is abnormal status information, the system 50 further includes:

[0090] The production suspension instruction generation module is used to generate a production suspension instruction based on abnormal status information, wherein the production suspension instruction is used to instruct the microcrystalline phosphor copper production line to suspend operation.

[0091] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0092] The present application also provides a terminal device, such as Figure 6 As shown, the terminal device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the processor 61 executes the computer program 63, the steps in the above-mentioned optimization production method embodiment are implemented, for example Figure 1 Steps S100 to S300 shown; or, when the processor 61 executes the computer program 63, the functions of each module in the above device are realized, for example Figure 5 The functions of modules 51 to 53 are shown.

[0093] The terminal device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server, and the terminal device 60 includes but is not limited to a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 6 It is only an example of the terminal device 60 and does not constitute a limitation of the terminal device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 60 may also include input and output devices, network access devices, buses, etc.

[0094] Among them, the processor 61 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0095] The memory 62 may be an internal storage unit of the terminal device 60, such as a hard disk or memory of the terminal device 60, or an external storage device of the terminal device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 60; further, the memory 62 may include both an internal storage unit and an external storage device of the terminal device 60, and the memory 62 may also store a computer program 63 and other programs and data required by the terminal device 60, and the memory 62 may also be used to temporarily store data that has been output or is to be output.

[0096] One embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of each of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.; the computer-readable medium may include: any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0097] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, all equivalent changes made according to the methods, principles, and structures of the present application should be included in the protection scope of the present application.

Claims

1. An optimized production method for producing microcrystalline anode phosphor copper for electroplating using recycled copper, applied to a microcrystalline phosphor copper production line, characterized in that: The method comprises: Based on a preset shooting device, real-time shooting image information is obtained, wherein the shooting device is located at the discharge port of the microcrystalline phosphor copper production line; Generate material contour line information according to the real-time captured image information and a preset contour recognition algorithm, wherein the material contour line information includes first material contour line information and second material contour line information; Production status diagnosis result information is generated according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

2. The method according to claim 1, characterized in that The step of generating material contour line information according to the real-time captured image information and a preset contour recognition algorithm includes: Performing grayscale processing on the real-time captured image information to generate grayscale captured image information; Based on a preset contour recognition algorithm, perform contour recognition processing on the grayscale captured image information to generate the first material contour line information and the second material contour line information, wherein the first material contour line information and the second material contour line information do not intersect; Accordingly, after generating material contour line information according to the real-time captured image information and a preset contour recognition algorithm, the method further includes: Based on a preset sharpening filter, the first material contour line information is enhanced to generate first enhanced contour line information, and the second material contour line information is enhanced to generate second enhanced contour line information; Correspondingly, generating production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information includes: Production status diagnosis result information is generated according to the first enhanced contour line information, the second enhanced contour line information and preset outer diameter threshold information.

3. The method according to claim 1, characterized in that The outer diameter threshold information includes maximum outer diameter limit value information and minimum outer diameter limit value information, and the production status diagnosis result information is normal state information or abnormal state information; the production status diagnosis result information is generated according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information, including: Based on a preset shortest distance calculation function, generating real-time material outer diameter information according to the first material contour line information and the second material contour line information; Determine whether the real-time material outer diameter information is less than the maximum outer diameter limit value information and the real-time material outer diameter information is greater than the minimum outer diameter limit value information; If the real-time material outer diameter information is smaller than the maximum outer diameter limit value information and the real-time material outer diameter information is larger than the minimum outer diameter limit value information, the production status diagnosis result information is determined to be the normal status information; otherwise, the production status diagnosis result information is determined to be the abnormal status information.

4. The method according to claim 3, characterized in that If the production status diagnosis result information is the abnormal status information, after generating the production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information, the method further includes: Obtain real-time raw material component content information and historical component content information; Determining whether the real-time raw material component content information is equal to the historical component content information; If the real-time raw material component content information is equal to the historical component content information, then the discharge port probability defect information is generated; If the real-time raw material component content information is not equal to the historical component content information, raw material probabilistic defect information is generated.

5. The method according to claim 3, characterized in that: If the production status diagnosis result information is the abnormal status information, after generating the production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information, the method further includes: Based on the abnormal state information, a production suspension instruction is generated, wherein the production suspension instruction is used to instruct the microcrystalline phosphor copper production line to suspend operation.

6. An optimized production system for producing microcrystalline anode phosphor copper for electroplating using recycled copper, applied to a microcrystalline phosphor copper production line, characterized in that: The system comprises: A real-time shooting image information acquisition module: used to acquire real-time shooting image information based on a preset shooting device, wherein the shooting device is located at the discharge port of the microcrystalline phosphor copper production line; A material contour information generating module: used to generate material contour information according to the real-time captured image information and a preset contour recognition algorithm, wherein the material contour information includes first material contour information and second material contour information; Production status diagnosis result information generation module: used to generate production status diagnosis result information according to the first material contour line information, the second material contour line information and the preset outer diameter threshold information.

7. The system according to claim 6, characterized in that The material contour information generation module includes: Grayscale captured image information generation submodule: used to perform grayscale processing on the real-time captured image information to generate grayscale captured image information; Material contour line information generation submodule: used to perform contour recognition processing on the grayscale captured image information based on a preset contour recognition algorithm, and generate the first material contour line information and the second material contour line information, wherein the first material contour line information and the second material contour line information do not intersect.

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, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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