Silver-plated copper-clad steel wire performance evaluation method, device and equipment

Abstract

The present application is applicable to the technical field of silver-plated copper-clad steel wire, and in particular to a method, device and equipment for evaluating the performance of silver-plated copper-clad steel wire. The method for evaluating the performance of silver-plated copper-clad steel wire includes: obtaining an appearance image of the silver-plated copper-clad steel wire and current data under a preset voltage as the basis for performance evaluation. According to the appearance image of the silver-plated copper-clad steel wire, a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire is gradually analyzed to evaluate the external performance of the silver-plated copper-clad steel wire. Based on the current data of the silver-plated copper-clad steel wire under the preset voltage, a current change curve is plotted. According to the current change curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is analyzed to evaluate the electrical performance of the silver-plated copper-clad steel wire. Based on the first performance score and the second performance score, the performance of the silver-plated copper-clad steel wire is finally comprehensively evaluated, effectively improving the efficiency, accuracy of the performance evaluation of the silver-plated copper-clad steel wire and the reliability and comparability of the evaluation results.

Description

Technical Field

[0001] The present application belongs to the technical field of silver-plated copper-clad steel wires, and in particular, relates to a method, device and equipment for evaluating the performance of silver-plated copper-clad steel wires. Background Art

[0002] Silver-plated copper clad steel wire is a composite wire consisting of a copper-clad steel core wire and an outer layer plated with a silver layer. It has the conductive properties of copper and the strength of steel, while the silver coating provides good conductivity and corrosion resistance.

[0003] At present, the performance evaluation indicators for silver-plated copper clad steel wire are not comprehensive enough. In addition, since the performance evaluation of silver-plated copper clad steel wire is a complex process that requires a lot of calculations, traditional calculation methods cannot accurately and effectively analyze the performance of silver-plated copper clad steel wire, resulting in low evaluation efficiency, inaccurate evaluation, and poor reliability and comparability of evaluation results. Summary of the invention

[0004] The embodiments of the present application provide a method, device and equipment for evaluating the performance of a silver-plated copper-clad steel wire, which can effectively improve the efficiency, accuracy and reliability and comparability of the performance evaluation results of the silver-plated copper-clad steel wire.

[0005] In a first aspect, an embodiment of the present application provides a method for evaluating the performance of a silver-plated copper-clad steel wire, comprising:

[0006] Obtain appearance images of silver-plated copper-clad steel wires and current data at a preset voltage;

[0007] Obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire;

[0008] Based on the current data of the silver-plated copper-clad steel wire at the preset voltage, a current change curve is obtained;

[0009] According to the current variation curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained;

[0010] Based on the first performance score and the second performance score, the performance of the silver-plated copper clad steel wire is comprehensively evaluated.

[0011] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0012] The performance evaluation method of the silver-plated copper clad steel wire provided in the embodiment of the present application is based on obtaining the appearance image of the silver-plated copper clad steel wire and the current data under a preset voltage as the basis for performance evaluation. According to the appearance image of the silver-plated copper clad steel wire, a first performance score for reflecting the external performance of the silver-plated copper clad steel wire is gradually analyzed to evaluate the external performance of the silver-plated copper clad steel wire. Based on the current data of the silver-plated copper clad steel wire under the preset voltage, a current change curve is plotted. According to the current change curve, a second performance score for reflecting the electrical performance of the silver-plated copper clad steel wire is analyzed to evaluate the electrical performance of the silver-plated copper clad steel wire. Based on the first performance score and the second performance score, the performance of the silver-plated copper clad steel wire is finally comprehensively evaluated, effectively improving the efficiency, accuracy of the performance evaluation of the silver-plated copper clad steel wire and the reliability and comparability of the evaluation results.

[0013] In a possible implementation manner of the first aspect, obtaining, according to the appearance image of the silver-plated copper-clad steel wire, a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire includes:

[0014] According to the appearance image of the silver-plated copper-clad steel wire, a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire is obtained;

[0015] According to the appearance image of the silver-plated copper-clad steel wire, a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire is obtained;

[0016] According to the uniformity evaluation value and the smoothness evaluation value, a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire is obtained.

[0017] In a possible implementation of the first aspect, obtaining, according to the appearance image of the silver-plated copper-clad steel wire, a uniformity evaluation value for reflecting the uniformity of a silver plating layer of the silver-plated copper-clad steel wire comprises:

[0018] Performing threshold segmentation on the appearance image of the silver-plated copper-clad steel wire to obtain a binary silver-plated layer image;

[0019] Using an image segmentation algorithm to segment the silver-plated layer image to obtain a plurality of silver-plated layer sub-images of equal size;

[0020] Calculating the image uniformity of each of the silver-plated layer sub-images;

[0021] Based on the image uniformity of each of the silver-plated layer sub-images, obtaining an average image uniformity of the silver-plated layer image;

[0022] Based on the average image uniformity of the silver-plated layer image, a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire is obtained.

[0023] In a possible implementation manner of the first aspect, calculating the image uniformity of each of the silver-plated layer sub-images includes:

[0024] Convert each of the silver-plated layer sub-images into a grayscale image;

[0025] Calculate the standard deviation of the pixel values ​​of each grayscale image;

[0026] The value of the standard deviation is used as the image uniformity of each silver-plated layer sub-image.

[0027] In a possible implementation of the first aspect, obtaining, according to the appearance image of the silver-plated copper-clad steel wire, a smoothness evaluation value for reflecting the smoothness of a silver-plated layer of the silver-plated copper-clad steel wire comprises:

[0028] Converting the appearance image of the silver-plated copper-clad steel wire into a grayscale image;

[0029] Performing filtering processing on the grayscale image;

[0030] Using edge detection algorithm to detect the edge of the silver-plated layer on the grayscale image after filtering;

[0031] According to the edge detection result, the texture features of the silver-plated layer surface are calculated;

[0032] Based on the result of calculating the texture feature of the surface of the silver-plated layer, a quantized value of the texture feature of the surface of the silver-plated layer is obtained;

[0033] Based on the texture feature quantization value, a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire is obtained.

[0034] In a possible implementation manner of the first aspect, calculating the texture features of the surface of the silver-plated layer according to the edge detection result includes:

[0035] According to the result of the edge detection, a grayscale image of the silver-plated copper-clad steel wire is obtained;

[0036] According to the grayscale image of the silver-plated copper-clad steel wire, calculating the grayscale level difference between each pixel and adjacent pixels;

[0037] Traversing each pixel in the grayscale image of the silver-plated copper-clad steel wire, and counting the grayscale level difference between each pixel and its adjacent pixels;

[0038] Constructing a gray level co-occurrence matrix according to the result of counting the gray level differences between each pixel and its adjacent pixels;

[0039] According to the gray level co-occurrence matrix, a statistical feature quantity is calculated; wherein the statistical feature quantity is used to reflect the texture feature of the image.

[0040] In a possible implementation manner of the first aspect, obtaining, according to the current change curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire includes:

[0041] Determine each extreme value in the current variation curve as extreme value data;

[0042] Screening out a reference interval according to the number of extreme value data and a preset change threshold;

[0043] Selecting a target interval from the reference interval according to a preset rule;

[0044] Performing electrical performance index analysis based on current data within the target range;

[0045] According to the result of the electrical performance index analysis, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained.

[0046] In a possible implementation of the first aspect, obtaining, according to the result of the electrical performance index analysis, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire includes:

[0047] The results of the electrical performance index analysis are input into the electrical performance evaluation model of the silver-plated copper-clad steel wire to obtain a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire; wherein the electrical performance evaluation model of the silver-plated copper-clad steel wire is a model obtained through machine learning.

[0048] In a second aspect, an embodiment of the present application provides a silver-plated copper-clad steel wire performance evaluation device, comprising:

[0049] An acquisition unit, used to acquire an appearance image of the silver-plated copper-clad steel wire and current data under a preset voltage;

[0050] A first scoring unit, configured to obtain a first performance score reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire;

[0051] A data unit, used to obtain a current variation curve based on the current data of the silver-plated copper-clad steel wire at the preset voltage;

[0052] A second scoring unit, configured to obtain a second performance score reflecting the electrical performance of the silver-plated copper-clad steel wire according to the current variation curve;

[0053] A comprehensive evaluation unit is used to comprehensively evaluate the performance of the silver-plated copper-clad steel wire based on the first performance score and the second performance score.

[0054] In a third aspect, an embodiment of the present application provides a silver-plated copper-clad steel wire performance evaluation device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any one of the first aspects above when executing the computer program.

[0055] In a fourth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the terminal device to execute any of the methods described in the first aspect.

[0056] 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

[0057] 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 will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0058] Figure 1 It is a schematic flow chart of a method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0059] Figure 2 It is a flow chart of step S200 in the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0060] Figure 3 It is a flow chart of step S210 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0061] Figure 4 It is a flow chart of step S213 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0062] Figure 5 1 is a flow chart of step S220 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0063] Figure 6 It is a flow chart of step S224 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0064] Figure 7 1 is a flow chart of step S230 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0065] Figure 81 is a flow chart of step S400 of a method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0066] Fig. 9 is a flow chart of step S440 of the method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0067] Fig.10 1 is a flow chart of step S500 of a method for evaluating the performance of a silver-plated copper-clad steel wire provided in one embodiment of the present application;

[0068] Fig.11 It is a structural schematic diagram of a silver-plated copper-clad steel wire performance evaluation device provided in one embodiment of the present application;

[0069] Fig.12 It is a schematic diagram of the structure of a silver-plated copper-clad steel wire performance evaluation device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0070] 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.

[0071] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0072] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0073] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0074] In addition, 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.

[0075] 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.

[0076] At present, the performance evaluation indicators for silver-plated copper clad steel wire are not comprehensive enough. In addition, since the performance evaluation of silver-plated copper clad steel wire is a complex process that requires a lot of calculations, traditional calculation methods cannot accurately and effectively analyze the performance of silver-plated copper clad steel wire, resulting in low evaluation efficiency, inaccurate evaluation, and poor reliability and comparability of evaluation results.

[0077] In order to solve the above problems, the embodiments of the present application provide a method, device and equipment for evaluating the performance of a silver-plated copper-clad steel wire. In the method, the appearance image of the silver-plated copper-clad steel wire and the current data under a preset voltage are obtained as the basis for performance evaluation. According to the appearance image of the silver-plated copper-clad steel wire, a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire is gradually analyzed to evaluate the external performance of the silver-plated copper-clad steel wire. Based on the current data of the silver-plated copper-clad steel wire under the preset voltage, a current change curve is drawn. According to the current change curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is analyzed to evaluate the electrical performance of the silver-plated copper-clad steel wire. Based on the first performance score and the second performance score, the performance of the silver-plated copper-clad steel wire is finally comprehensively evaluated, effectively improving the efficiency, accuracy of the performance evaluation of the silver-plated copper-clad steel wire and the reliability and comparability of the evaluation results.

[0078] The data processing method provided in the embodiment of the present application can be applied to a terminal device. In this case, the terminal device is the executor of the data processing method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the terminal device.

[0079] For example, the terminal device can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV and other terminal devices, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, etc.

[0080] In order to better understand the performance evaluation method of the silver-plated copper-clad steel wire provided in the embodiment of the present application, the specific implementation process of the performance evaluation method of the silver-plated copper-clad steel wire provided in the embodiment of the present application is exemplarily introduced below.

[0081] Figure 1 A schematic flow chart of a method for evaluating the performance of a silver-plated copper-clad steel wire provided in an embodiment of the present application is shown. The method for evaluating the performance of a silver-plated copper-clad steel wire comprises:

[0082] S100, obtaining an appearance image of the silver-plated copper-clad steel wire and current data at a preset voltage.

[0083] It can be understood that the appearance image of the silver-plated copper-clad steel wire can be obtained from an image monitoring device or other storage device. Through the appearance image, the appearance characteristics of the silver-plated copper-clad steel wire can be intuitively understood, including wire diameter, surface quality, silver plating thickness, etc. These appearance characteristics have an important influence on judging the quality and manufacturing process of the silver-plated copper-clad steel wire. The appearance image can help understand the structure of the silver-plated copper-clad steel wire, including components such as the copper core, the silver plating layer, and the outer protective layer. This helps to evaluate the strength, corrosion resistance, and wear resistance of the wire. The current data of the silver-plated copper-clad steel wire under a preset voltage can be obtained from experimental data. By obtaining the current data under a preset voltage, the electrical properties of the silver-plated copper-clad steel wire can be understood so as to accurately evaluate it.

[0084] S200, obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire.

[0085] It can be understood that the first performance score is obtained through a series of analyses of the appearance images of the silver-plated copper clad steel wire, and can reflect the numerical value of the external performance of the silver-plated copper clad steel wire. The higher the first performance score, the better the external performance of the silver-plated copper clad steel wire.

[0086] In one possible implementation, see Figure 2 S200, obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire, including:

[0087] S210, obtaining a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire.

[0088] It can be understood that the uniformity of the silver coating of the silver-plated copper-clad steel wire is one of the important indicators for evaluating its quality and performance. The uniformity of the silver coating can affect the electrical conductivity, corrosion resistance and appearance quality of the wire. The silver coating image of the silver-plated copper-clad steel wire can be processed and analyzed by a preset digital method, and the uniformity index of the silver coating can be calculated by an image processing algorithm to obtain a uniformity evaluation value for reflecting the uniformity of the silver coating of the silver-plated copper-clad steel wire, so as to quantitatively evaluate the uniformity of the silver coating and provide more accurate results.

[0089] Optionally, see Figure 3 , S210, obtaining a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire, including:

[0090] S211, performing threshold segmentation on the appearance image of the silver-plated copper-clad steel wire to obtain a binary silver-plated layer image.

[0091] It can be understood that the pixels in the image can be divided into two categories according to their grayscale values ​​by a pre-set threshold, which can be to set the pixels with grayscale values ​​greater than the threshold to white and the pixels with grayscale values ​​less than the threshold to black. In this way, the image can be converted into a binary image for subsequent processing. After threshold segmentation, in the binary image obtained, the silver-plated layer will be represented as a white area, and the other parts will be represented as a black area. In this way, a binary image of the silver-plated layer is obtained, in which the white area indicates the position of the silver-plated layer.

[0092] S212, using an image segmentation algorithm to segment the silver-plated layer image to obtain a plurality of silver-plated layer sub-images of equal size.

[0093] It can be understood that the binary silver-plated layer image can be processed using a preset image segmentation algorithm to segment it into multiple silver-plated layer sub-images of equal pixel size. The purpose of image segmentation is to separate the silver-plated layer from the entire image to facilitate subsequent uniformity calculation. For example, if the size of the original silver-plated layer image is 500x500 pixels, and it is desired to be segmented into 10 equal-sized sub-images, then the size of each sub-image will be 50x50 pixels. In this way, each sub-image has the same area size and can be uniformly calculated for uniformity or other processing.

[0094] S213, calculating the image uniformity of each silver-plated layer sub-image.

[0095] It can be understood that the image uniformity is calculated for each silver-plated layer sub-image by a preset algorithm. Image uniformity can be evaluated by calculating the variance or other statistics of the pixel values ​​in the image. For example, a smaller variance or statistic value indicates a higher uniformity of the image. In this way, the non-uniformity of the silver-plated layer can be quantitatively evaluated, and a basis can be provided for the subsequent evaluation of the uniformity of the silver-plated layer.

[0096] For example, see Figure 4 , S213, calculating the image uniformity of each silver-plated layer sub-image, including:

[0097] S2131, convert each silver-plated layer sub-image into a grayscale image.

[0098] It can be understood that for each silver-plated layer sub-image, a preset algorithm is used to convert it into a grayscale image. A grayscale image is an image that only contains brightness information but not color information, and is more suitable for calculating image uniformity.

[0099] S2132, calculate the standard deviation of the pixel values ​​of each grayscale image.

[0100] It can be understood that for each grayscale image, the standard deviation of its pixel values ​​can be calculated by a preset algorithm. The standard deviation is a statistic that measures the degree of dispersion of data and is used to evaluate the uniformity of an image. Here, the standard deviation can be used to represent the degree of variation of the pixel values ​​in the silver-plated layer sub-image, that is, the uniformity of the image.

[0101] S2133, taking the value of the standard deviation as the image uniformity of each silver-plated layer sub-image.

[0102] It can be understood that the standard deviation of the pixel values ​​of each grayscale image can be used as the image uniformity value of the corresponding silver-plated layer sub-image. A smaller standard deviation value indicates that the pixel value changes in the image are smaller, that is, the image uniformity is higher; while a larger standard deviation value indicates that the pixel value changes in the image are larger, that is, the image uniformity is lower.

[0103] S214, obtaining an average image uniformity of the silver-plated layer image based on the image uniformity of each silver-plated layer sub-image.

[0104] It is understood that the image uniformity values ​​of each silver-plated layer sub-image can be added together through a preset algorithm to obtain a sum, and the sum can be divided by the number of silver-plated layer sub-images to obtain an average image uniformity, which is equivalent to calculating the average image uniformity of all sub-images.

[0105] S215, obtaining a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire based on the average image uniformity of the silver-plated layer image.

[0106] It can be understood that a value can be obtained based on the average image uniformity of the silver-plated layer image to represent the uniformity of the entire silver-plated layer. This value can be a standard deviation, variance or other statistic used to reflect the uniformity of the silver-plated layer image. The algorithm can be preset to normalize this value and map it to a fixed range (for example, between 0 and 1) for comparison and evaluation. Normalization can select different algorithms according to specific needs, such as linear normalization or exponential normalization. According to the normalized value, a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire is obtained. This evaluation value can be a single value representing the overall uniformity of the silver-plated layer. An evaluation value closer to 1 indicates that the uniformity of the silver-plated layer is better, while an evaluation value closer to 0 indicates that the uniformity of the silver-plated layer is poor.

[0107] S220, obtaining a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire.

[0108] It can be understood that the appearance image of the silver-plated copper-clad steel wire can be preprocessed, including steps such as denoising, enhancement and smoothing. It can help reduce noise and interference in the image and improve the accuracy of subsequent processing. Features related to smoothness are extracted from the preprocessed image. These features may include surface texture, edge curvature, grayscale changes, etc. The overall smoothness of the silver coating is reflected by calculating the statistics of these features or other related indicators.

[0109] Optionally, see Figure 5 S220, obtaining a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire, including:

[0110] S221, converting the appearance image of the silver-plated copper-clad steel wire into a grayscale image.

[0111] It can be understood that when converting the appearance image of the silver-plated copper-clad steel wire into a grayscale image, a pre-set image processing algorithm can be used to convert the color image into a grayscale image. The grayscale image only contains brightness information but not color information, which simplifies subsequent processing.

[0112] S222, performing filtering processing on the grayscale image.

[0113] It can be understood that filtering the grayscale image can be achieved by a preset filtering algorithm, such as mean filtering, median filtering or Gaussian filtering. The purpose of filtering is to reduce noise and unnecessary details in the image, making the image clearer and easier to analyze.

[0114] S223, using an edge detection algorithm to detect the edge of the silver-plated layer on the grayscale image after the filtering process.

[0115] It can be understood that an edge detection algorithm can be used to perform edge detection on the grayscale image after filtering to find the edge of the silver-plated layer. Commonly used edge detection algorithms include Sobel operator, Canny operator, etc. Edge detection can analyze information such as the shape, size and position of the silver-plated layer.

[0116] S224, calculating the texture features of the surface of the silver-plated layer according to the edge detection result.

[0117] It can be understood that, according to the results of edge detection, various methods can be used to calculate the texture features of the silver-plated surface. For example, gray-level co-occurrence matrix, local binary pattern, Gabor filter, scale-invariant feature transform, etc. Gray-Level Co-occurrence Matrix (GLCM): GLCM is a statistical method for describing image texture features. It describes the roughness, direction, and contrast of the texture by calculating the gray value relationship between pixels. Local Binary Patterns (LBP): LBP is a method for calculating image texture features. It describes the texture pattern and texture change of the texture by comparing the gray value between the pixel and its neighboring pixels. Gabor filter: Gabor filter is a filter based on frequency and direction, which is often used to extract texture features of images. It can capture texture information at different scales and directions. Scale-Invariant Feature Transform (SIFT): SIFT is an algorithm for extracting local features of images, which can describe key points and feature descriptors in images. These features can be used to represent the texture features of images. These methods can be selected and applied according to specific needs and image characteristics. By calculating the texture characteristics of the silver coating surface, the surface quality and characteristics of the silver coating can be better understood, thereby evaluating its smoothness and quality.

[0118] For example, see Figure 6 , S224, calculating the texture features of the surface of the silver-plated layer according to the edge detection result, including:

[0119] S2241, based on the edge detection result, a grayscale image of the silver-plated copper-clad steel wire is obtained.

[0120] It can be understood that, according to the result of edge detection, a grayscale image of the silver-plated copper-clad steel wire can be captured. This can be achieved by extracting the area of ​​the silver-plated layer from the result of edge detection by a preset extraction algorithm.

[0121] S2242, based on the grayscale image of the silver-plated copper-clad steel wire, calculate the grayscale level difference between each pixel and adjacent pixels.

[0122] It can be understood that, based on the grayscale image of the silver-plated copper-clad steel wire, the grayscale level difference between each pixel and the adjacent pixels can be calculated. This can be calculated by presetting a rule for comparing the grayscale values ​​between each pixel and its surrounding pixels.

[0123] S2243, traverse each pixel in the grayscale image of the silver-plated copper-clad steel wire, and count the grayscale level differences between each pixel and its adjacent pixels.

[0124] It can be understood that based on the result of calculating the gray level difference between each pixel and its adjacent pixels, the gray level difference between each pixel and its adjacent pixels can be traversed and counted.

[0125] S2244, constructing a gray level co-occurrence matrix based on the result of counting the gray level differences between each pixel and its adjacent pixels.

[0126] It can be understood that a grayscale co-occurrence matrix can be constructed based on the results of counting the grayscale level differences between each pixel and its neighboring pixels. The grayscale co-occurrence matrix is ​​a two-dimensional matrix used to describe the grayscale level relationship between different pairs of pixels in an image. First, determine the pixel range and grayscale level of the grayscale image. The grayscale level starts from 0 and ends at the maximum grayscale level (e.g., 255). Define the direction and distance of adjacent pixels. Adjacent pixels can be pixels in the horizontal, vertical, or diagonal direction. The distance can be 1 pixel, 2 pixels, or other specific distances. For each pixel, calculate the grayscale level difference between its adjacent pixels. The grayscale value difference or absolute value between pixels can be used to represent the grayscale level difference. Traverse each pixel of the image and update the corresponding element of the grayscale co-occurrence matrix based on the grayscale level difference of the adjacent pixels. For example, if the grayscale level difference between two pixels is d, then in the grayscale co-occurrence matrix, the corresponding element value is added by 1. Depending on the size and grayscale level of the image, you can choose to calculate the grayscale co-occurrence matrix for multiple directions and distances. These matrices can be added or averaged to obtain the final gray-level co-occurrence matrix.

[0127] S2245, calculating statistical feature quantities according to the gray level co-occurrence matrix; wherein the statistical feature quantities are used to reflect the texture features of the image.

[0128] It can be understood that according to the gray level co-occurrence matrix, a series of statistical feature quantities can be calculated to reflect the texture characteristics of the image. These statistical feature quantities can be obtained by statistically analyzing the elements of the gray level co-occurrence matrix through a preset algorithm. For example, the statistical feature quantities can be contrast, homogeneity, entropy, energy and correlation. These statistical feature quantities can indirectly reflect the relative smoothness of the silver-plated layer in the picture.

[0129] S225, based on the result of calculating the texture feature of the surface of the silver-plated layer, obtaining a quantized value of the texture feature of the surface of the silver-plated layer.

[0130] It can be understood that the texture feature quantization value of the surface of the silver-plated layer can be obtained based on the calculated texture feature. The quantization value can be calculated by a preset statistical analysis rule or mathematical model to represent the intensity and degree of the texture feature of the silver-plated layer. For example, it can be compared with the statistics of the texture feature of the surface of the preset standard silver-plated layer, and the texture feature of the surface of the silver-plated layer is mapped to obtain a quantization value.

[0131] S226, based on the texture feature quantization value, obtaining a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire.

[0132] It can be understood that a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire can be obtained according to the texture feature quantification value. This evaluation value can be used to determine the smoothness of the silver-plated layer by setting a threshold or comparing it with a reference sample.

[0133] S230, obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the uniformity evaluation value and the smoothness evaluation value.

[0134] It can be understood that the uniformity evaluation value and the smoothness evaluation value can be comprehensively evaluated according to preset rules to obtain the first performance score.

[0135] Optionally, see Figure 7 , S230, obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the uniformity evaluation value and the smoothness evaluation value, including:

[0136] S231 , weighting the uniformity evaluation value and the smoothness evaluation value based on a preset rule.

[0137] It is understandable that weights can be assigned to silver-plated copper-clad steel wires of different types or uses according to preset rules. For example, the weight of the uniformity evaluation value can be set to 0.6, and the weight of the smoothness evaluation value can be set to 0.4.

[0138] S232, obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to a result of weighting the uniformity evaluation value and the smoothness evaluation value.

[0139] It can be understood that the uniformity evaluation value and the smoothness evaluation value are multiplied by the corresponding weights respectively, and then the two weighted values ​​are added to obtain a weighted comprehensive evaluation value. This weighted value can represent the first performance score of the external performance of the silver-plated copper-clad steel wire. According to the weighted comprehensive evaluation value, it can be interpreted as the first performance score of the silver-plated copper-clad steel wire. This score can be used to compare the external performance between different samples.

[0140] S300, obtaining a current variation curve based on current data of the silver-plated copper-clad steel wire at a preset voltage.

[0141] It can be understood that based on the current data of the silver-plated copper-clad steel wire at a preset voltage, the processed current data can be plotted into a current change curve using a suitable data visualization tool, such as a drawing software or a drawing library in a programming language. The horizontal axis can represent time and the vertical axis represents the current value. Ensure the smoothness and clarity of the curve.

[0142] S400: Obtaining a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire according to the current variation curve.

[0143] It can be understood that the current change curve can be analyzed by a series of preset algorithms according to the current change curve, and the second performance score used to reflect the electrical performance of the silver-plated copper-clad steel wire can be obtained by inputting the analysis results into the machine learning model. The second performance score is used to reflect the quantitative evaluation value of the electrical performance of the silver-plated copper-clad steel wire.

[0144] In one possible implementation, see Figure 8 S400, according to the current variation curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained, including:

[0145] S410, determining each extreme value in the current variation curve as extreme value data.

[0146] It can be understood that on the drawn current change curve, the maximum and minimum points of the curve are marked. The maximum point is the local maximum value on the curve, and the minimum point is the local minimum value on the curve. For each maximum and minimum point, it is determined as an extreme value data.

[0147] S420, screening out a reference interval according to the number of extreme value data and a preset change threshold.

[0148] It is understandable that a preset interval in which the degree of change index is greater than a preset change threshold can be screened out from the change curve between each extreme value point as a reference interval. For the change curve between each extreme value point, the degree of change index is calculated. This can be the absolute value of the current change, the relative change ratio, etc., which are used to measure the degree of change. According to the preset change threshold, the preset interval in which the degree of change index is greater than the preset change threshold is screened out as a reference interval. These intervals represent the part where the current changes greatly, and can serve as the basis for subsequent analysis.

[0149] S430, selecting a target interval from the reference interval according to a preset rule.

[0150] It can be understood that preset rules are defined: preset rules are clarified according to requirements and evaluation criteria. Preset rules may include requirements for current change characteristics, such as stability, volatility, trends, etc. Analyze the current data within the reference interval. This may involve calculating indicators such as the average value, standard deviation, peak-to-peak value, etc. of the current to understand the characteristics and trends of the current. Select the target interval according to preset rules: According to the preset rules, select the target interval that meets the requirements. This may involve filtering the analysis results or setting thresholds to determine which parts meet the preset rules. Record the start time and end time of the selected target interval, as well as the corresponding current data. These data will be used for subsequent electrical performance indicator analysis and calculation.

[0151] S440, performing electrical performance index analysis based on the current data within the target range.

[0152] It can be understood that based on the current data within the target range, the electrical performance indicators can be analyzed through a preset algorithm. The following are some common electrical performance indicators:

[0153] Average: Calculate the average of the current data to get an idea of ​​the overall level of current.

[0154] Standard Deviation: Calculate the standard deviation of the current data to measure the fluctuation and stability of the current.

[0155] Peak-to-peak value: Calculate the peak-to-peak value of the current data, that is, the difference between the maximum and minimum values, to measure the range of current variation.

[0156] Spectrum analysis: Perform spectrum analysis on current data to understand the frequency characteristics and harmonic content of the current.

[0157] Waveform analysis: Perform waveform analysis on current data to understand the waveform characteristics and periodicity of the current.

[0158] Result interpretation: Based on the results of the electrical performance index analysis, the electrical performance characteristics of the current data are interpreted. This can be used to evaluate the performance of the current in terms of stability, volatility, frequency characteristics, etc.

[0159] Optionally, see Fig. 9 , S440, performs electrical performance index analysis based on the current data within the target range, including:

[0160] S441, performing waveform analysis on the current data within the target interval according to the current data within the target interval.

[0161] It is understood that the period, frequency, phase and other characteristics of the waveform can be identified by a preset algorithm based on the current data in the target interval. The shape characteristics in the waveform graph, such as peaks, troughs, rise time, fall time, etc., can be identified by a preset algorithm to understand the changing trend and shape of the current.

[0162] S442, calculating the power factor of the current data within the target interval according to the current data within the target interval.

[0163] It can be understood that according to the current data in the target interval, the active power and reactive power in the interval are calculated. Active power represents the actual power generated by the current for the circuit, while reactive power represents the reactive power generated by the current for the circuit. According to the calculated active power and reactive power, the power factor is calculated. The power factor is the ratio of active power to apparent power, and is usually used to measure the power efficiency of the circuit and the purity of the load. The calculation formula of the power factor is: power factor = active power / apparent power.

[0164] S443, calculating statistical features of the current data within the target interval according to the current data within the target interval.

[0165] It can be understood that according to the current data in the target interval, the statistical characteristics of the current data in the target interval can be calculated, and these statistical characteristics are also data reflections of the electrical performance indicators. For example, the statistical characteristics can be the mean, median, mode, variance, standard deviation, etc.

[0166] Mean: Calculates the average value of the current data within the target interval, indicating the center position of the current data.

[0167] Median: Calculates the median of the current data within the target interval, which represents the middle value of the current data. The median is the value in the middle after the data is sorted by size.

[0168] Mode: Calculates the mode of the current data within the target interval, which represents the value with the highest frequency in the current data.

[0169] Variance: Calculate the variance of the current data within the target interval, which indicates the degree of dispersion of the current data. The larger the variance, the higher the volatility of the current data.

[0170] Standard Deviation: Calculates the standard deviation of the current data within the target interval, which is the square root of the variance. The standard deviation also indicates the degree of dispersion of the current data and has the same trend as the variance.

[0171] S450, obtaining a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire according to the result of the electrical performance index analysis.

[0172] It can be understood that the results of the electrical performance index analysis can be input into a preset model, and the model will output a second performance score reflecting the electrical performance of the silver-plated copper clad steel wire based on the results of the input electrical performance index analysis.

[0173] Optionally, S450, according to the result of the electrical performance index analysis, obtaining a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire includes:

[0174] S451, input the results of the electrical performance index analysis into the electrical performance evaluation model of the silver-plated copper clad steel wire to obtain a second performance score for reflecting the electrical performance of the silver-plated copper clad steel wire; wherein the electrical performance evaluation model of the silver-plated copper clad steel wire is a model obtained through machine learning.

[0175] It can be understood that the electrical performance index data is passed as input to the electrical performance evaluation model of the silver-plated copper-clad steel wire. The input data is predicted using the electrical performance evaluation model of the silver-plated copper-clad steel wire to obtain a second performance score reflecting the electrical performance of the silver-plated copper-clad steel wire. According to the output results of the model, the obtained second performance score is interpreted and understood. This score can be used to evaluate the electrical performance of the silver-plated copper-clad steel wire. The electrical performance evaluation model of the silver-plated copper-clad steel wire is obtained through a large number of data samples and sample rating training, and is applied to new current data to evaluate the electrical performance of the silver-plated copper-clad steel wire and obtain the corresponding second performance score. The data sample includes current data and other features related to electrical performance and identification information of the performance score that identifies the result of the electrical performance index analysis. Ensure the accuracy and completeness of the data. Current data: This is the main input feature of the model, which records the current value of the device or system. The current data can be continuous time series data or discrete sampling data. Other features related to electrical performance: In addition to current data, other features related to electrical performance can also be included. These features can be the temperature, voltage, power, etc. of the device. Identification information of performance score: For each sample, it is necessary to identify the performance score of the result of the electrical performance index analysis corresponding to it. This identification information can be a label or category, which is used to indicate the performance level or score of the sample.

[0176] S500, comprehensively evaluates the performance of silver-plated copper-clad steel wire based on the first performance score and the second performance score.

[0177] It can be understood that according to the requirements and concerns about the performance of the silver-plated copper-clad steel wire, weights are assigned to the first performance score and the second performance score. The weight can be a relative proportional value, indicating the importance of each performance indicator to the overall evaluation. The first performance score and the second performance score are multiplied by the corresponding weights respectively, and then the weighted values ​​are added to obtain a weighted comprehensive evaluation value. According to the weighted comprehensive evaluation value, it is used to evaluate the comprehensive performance of the silver-plated copper-clad steel wire under different performance indicators.

[0178] In one possible implementation, see Fig.10 , S500, based on the first performance score and the second performance score, comprehensively evaluates the performance of silver-plated copper-clad steel wire, including:

[0179] S510, obtaining a comprehensive performance evaluation score of the silver-plated copper-clad steel wire based on the first performance score, the second performance score and a preset weighting rule.

[0180] It can be understood that according to the requirements and concerns about the performance of the silver-plated copper-clad steel wire, weights are assigned to the first performance score and the second performance score. The weight can be a relative proportional value, indicating the importance of each performance indicator to the overall evaluation. The first performance score and the second performance score are multiplied by the corresponding weights respectively, and then the weighted values ​​are added to obtain a weighted comprehensive evaluation value, that is, the comprehensive evaluation score of the performance of the silver-plated copper-clad steel wire.

[0181] S520, based on the comprehensive performance evaluation score of the silver-plated copper-clad steel wire, obtain the comprehensive performance evaluation grade of the silver-plated copper-clad steel wire.

[0182] It can be understood that according to the weighted comprehensive evaluation value, the performance comprehensive evaluation result of the silver-plated copper-clad steel wire can be mapped through preset rules. This result can be used to represent the comprehensive performance of the silver-plated copper-clad steel wire under different performance indicators. Through the comprehensive evaluation of multiple indicators, the efficiency, accuracy and reliability and comparability of the performance evaluation of the silver-plated copper-clad steel wire can be effectively improved.

[0183] It should be understood 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.

[0184] Corresponding to the silver-plated copper-clad steel wire performance evaluation method described in the above embodiment, the embodiment of the present application also provides a silver-plated copper-clad steel wire performance evaluation device, and each unit of the system can implement each step of the silver-plated copper-clad steel wire performance evaluation method. Fig.11 A structural block diagram of a silver-plated copper-clad steel wire performance evaluation device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0185] Reference Fig.11 The silver-plated copper-clad steel wire performance evaluation device comprises:

[0186] An acquisition unit, used to acquire an appearance image of the silver-plated copper-clad steel wire and current data under a preset voltage;

[0187] A first scoring unit, configured to obtain a first performance score reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire;

[0188] A data unit, used to obtain a current variation curve based on the current data of the silver-plated copper-clad steel wire at the preset voltage;

[0189] A second scoring unit, configured to obtain a second performance score reflecting the electrical performance of the silver-plated copper-clad steel wire according to the current variation curve;

[0190] A comprehensive evaluation unit is used to comprehensively evaluate the performance of the silver-plated copper-clad steel wire based on the first performance score and the second performance score.

[0191] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units 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.

[0192] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit module can exist physically separately, or two or more unit modules can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0193] The present application also provides a silver-plated copper-clad steel wire performance evaluation device, Fig.12 This is a schematic diagram of the structure of a silver-plated copper-clad steel wire performance evaluation device provided in one embodiment of the present application. Fig.12 As shown, the silver-plated copper-clad steel wire performance evaluation device 6 of this embodiment includes: at least one processor 60 ( Fig.12 Only one is shown), at least one memory 61 ( Fig.12 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the silver-plated copper-clad steel wire performance evaluation device 6 implements the steps in any of the above-mentioned silver-plated copper-clad steel wire performance evaluation method embodiments, or the silver-plated copper-clad steel wire performance evaluation device 6 implements the functions of each unit in the above-mentioned device embodiments.

[0194] Exemplarily, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the electronic device 6.

[0195] The silver-plated copper-clad steel wire performance evaluation device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Fig.12 It is only an example of the silver-plated copper-clad steel wire performance evaluation device 6 and does not constitute a limitation of the silver-plated copper-clad steel wire performance evaluation device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, buses, etc.

[0196] The processor 60 may 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. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0197] In some embodiments, the memory 61 may be an internal storage unit of the silver-plated copper-clad steel wire performance evaluation device 6, such as a hard disk or memory of the silver-plated copper-clad steel wire performance evaluation device 6. In other embodiments, the memory 61 may also be an external storage device of the silver-plated copper-clad steel wire performance evaluation device 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the silver-plated copper-clad steel wire performance evaluation device 6. Further, the memory 61 may also include both the internal storage unit of the silver-plated copper-clad steel wire performance evaluation device 6 and an external storage device. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0198] An embodiment of the present application further 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 in any of the above method embodiments are implemented.

[0199] An embodiment of the present application provides a computer program product. When the computer program product is executed on an electronic device, the electronic device implements the steps in any of the above method embodiments.

[0200] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. 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. The computer-readable medium may at least include: any entity or device capable of carrying the computer program code to the terminal device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0201] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0202] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0203] In the embodiments provided in the present application, it should be understood that the disclosed silver-plated copper-clad steel wire performance evaluation device / silver-plated copper-clad steel wire performance evaluation equipment and method can be implemented in other ways. For example, the above-described silver-plated copper-clad steel wire performance evaluation device / silver-plated copper-clad steel wire performance evaluation equipment embodiment is only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0204] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0205] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for evaluating the performance of a silver-plated copper-clad steel wire, characterized in that: include: Obtain appearance images of silver-plated copper-clad steel wires and current data at a preset voltage; Obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire; Based on the current data of the silver-plated copper-clad steel wire at the preset voltage, a current change curve is obtained; According to the current variation curve, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained; Based on the first performance score and the second performance score, comprehensively evaluating the performance of the silver-plated copper-clad steel wire; The step of obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire comprises: According to the appearance image of the silver-plated copper-clad steel wire, a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire is obtained; According to the appearance image of the silver-plated copper-clad steel wire, a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire is obtained; Obtaining a first performance score for reflecting the external performance of the silver-plated copper-clad steel wire according to a weighted result of the uniformity evaluation value and the smoothness evaluation value; The step of obtaining a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire according to the current variation curve includes: Determine each extreme value in the current variation curve as extreme value data; Screening out a reference interval according to the number of extreme value data and a preset change threshold; Selecting a target interval from the reference interval according to a preset rule; Performing electrical performance index analysis based on current data within the target range; According to the result of the electrical performance index analysis, a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained; The second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire is obtained according to the result of the electrical performance index analysis, including: The results of the electrical performance index analysis are input into the electrical performance evaluation model of the silver-plated copper-clad steel wire to obtain a second performance score for reflecting the electrical performance of the silver-plated copper-clad steel wire; wherein the electrical performance evaluation model of the silver-plated copper-clad steel wire is a model obtained through machine learning.

2. The silver-plated copper-clad steel wire performance evaluation method according to claim 1, characterized in that: The step of obtaining a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire comprises: Performing threshold segmentation on the appearance image of the silver-plated copper-clad steel wire to obtain a binary silver-plated layer image; Using an image segmentation algorithm to segment the silver-plated layer image to obtain a plurality of silver-plated layer sub-images of equal size; Calculating the image uniformity of each of the silver-plated layer sub-images; Based on the image uniformity of each of the silver-plated layer sub-images, obtaining an average image uniformity of the silver-plated layer image; Based on the average image uniformity of the silver-plated layer image, a uniformity evaluation value for reflecting the uniformity of the silver-plated layer of the silver-plated copper-clad steel wire is obtained.

3. The silver-plated copper-clad steel wire performance evaluation method according to claim 2, characterized in that: The calculating the image uniformity of each silver-plated layer sub-image comprises: Convert each of the silver-plated layer sub-images into a grayscale image; Calculate the standard deviation of the pixel values ​​of each grayscale image; The value of the standard deviation is used as the image uniformity of each silver-plated layer sub-image.

4. The method for evaluating the performance of a silver-plated copper-clad steel wire according to claim 3, characterized in that: The step of obtaining a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire comprises: Converting the appearance image of the silver-plated copper-clad steel wire into a grayscale image; Performing filtering processing on the grayscale image; Using edge detection algorithm to detect the edge of the silver-plated layer on the grayscale image after filtering; According to the edge detection result, the texture features of the silver-plated layer surface are calculated; Based on the result of calculating the texture feature of the surface of the silver-plated layer, a quantized value of the texture feature of the surface of the silver-plated layer is obtained; Based on the texture feature quantization value, a smoothness evaluation value for reflecting the smoothness of the silver-plated layer of the silver-plated copper-clad steel wire is obtained.

5. The method for evaluating the performance of a silver-plated copper-clad steel wire according to claim 4, characterized in that: The method of calculating the texture features of the surface of the silver-plated layer according to the edge detection result includes: According to the result of the edge detection, a grayscale image of the silver-plated copper-clad steel wire is obtained; According to the grayscale image of the silver-plated copper-clad steel wire, calculating the grayscale level difference between each pixel and adjacent pixels; Traversing each pixel in the grayscale image of the silver-plated copper-clad steel wire, and counting the grayscale level difference between each pixel and its adjacent pixels; Constructing a gray level co-occurrence matrix according to the result of counting the gray level differences between each pixel and its adjacent pixels; According to the gray level co-occurrence matrix, a statistical feature quantity is calculated; wherein the statistical feature quantity is used to reflect the texture feature of the image.

6. A silver-plated copper-clad steel wire performance evaluation device, characterized in that: For implementing the method according to any one of claims 1 to 5, the silver-plated copper-clad steel wire performance evaluation device comprises: An acquisition unit, used to acquire an appearance image of the silver-plated copper-clad steel wire and current data under a preset voltage; A first scoring unit, configured to obtain a first performance score reflecting the external performance of the silver-plated copper-clad steel wire according to the appearance image of the silver-plated copper-clad steel wire; A data unit, used to obtain a current variation curve based on the current data of the silver-plated copper-clad steel wire at the preset voltage; A second scoring unit, configured to obtain a second performance score reflecting the electrical performance of the silver-plated copper-clad steel wire according to the current variation curve; A comprehensive evaluation unit is used to comprehensively evaluate the performance of the silver-plated copper-clad steel wire based on the first performance score and the second performance score.

7. A silver-plated copper-clad steel wire performance evaluation 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 method according to any one of claims 1 to 5 is implemented.

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