Resistance testing method and system for copper rod production

Abstract

The invention discloses a resistance testing method and system for copper rod production, and relates to the technical field of resistance testing, and the method comprises the steps: collecting a characteristic phonon spectrum signal generated by lattice vibration, and generating a test distribution data set; constructing a resistivity abnormal distortion model, determining a lattice distortion position by analyzing a sudden change region of the phonon group velocity phase data, generating resistivity abnormal distribution through convolution processing, and generating a resistivity abnormal thermodynamic diagram based on a corresponding relation between the lattice distortion position and the resistivity abnormal distribution; a distortion space coordinate point is positioned by using the resistivity anomaly thermodynamic diagram, control parameters of the acoustic topological sensor are calculated according to the distortion space coordinate point, spiral phase sound waves are emitted, and an acoustic-electric coupling response matrix is generated; and fusing the acoustic-electric coupling response matrix and a preset resistivity to generate the resistivity of the full length of the copper rod. According to the method, the resistivity abnormal distortion model is constructed, so that the high-resolution analysis capability is provided for the detection of the microdefects in the copper rod.

Description

Technical Field

[0001] The present invention relates to the technical field of resistance testing, in particular to a resistance testing method and system for copper rod production. Background Art

[0002] Copper rods are the core conductors of cross-linked polyethylene (XLPE) insulated power cables and cable accessories. Therefore, the resistance performance of copper rods directly affects the current carrying capacity, heat loss, and dielectric properties of the cables. During the copper rod production process, resistance testing has become an important part of evaluating the quality and performance of copper rods. Conventional resistance testing methods usually use the four-probe method and DC resistance measurement technology. The DC resistance measurement technology calculates the resistivity by applying current to the copper rod surface and measuring the voltage drop to evaluate the electrical conductivity of the copper rod. The four-probe method calculates the resistivity by placing four equally spaced probes on the copper rod surface. A constant current is passed through the two outer probes, and the voltage is measured through the two inner probes.

[0003] However, conventional resistance testing methods have certain limitations when detecting lattice defects and microstructural anomalies inside copper rods. They mainly rely on the measurement of surface electrical signals, and it is difficult to effectively detect the abnormal resistivity distribution inside the copper rod caused by lattice distortion and microscopic defects. As a result, the assessment of the internal quality of the copper rod is not comprehensive enough, and it is difficult to meet the needs of accurate positioning and analysis of internal defects in the production of high-precision and high-performance copper rods. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a resistance testing method for copper rod production to solve the problem of difficulty in effectively detecting abnormal resistivity distribution caused by lattice distortion and micro defects inside the copper rod.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a resistance testing method for copper rod production, comprising: emitting a scanning beam on the surface of the copper rod to excite lattice vibration inside the copper rod, collecting characteristic phonon spectrum signals generated by the lattice vibration, and generating a test distribution data set; the test distribution data set includes phonon frequency data, amplitude data, and phonon group velocity phase data; A resistivity anomaly distortion model is constructed. The test distribution data set is input into the resistivity anomaly distortion model. The lattice distortion location is determined by analyzing the mutation region of the phonon group velocity phase data. The resistivity anomaly distribution is generated through convolution processing. Based on the correspondence between the lattice distortion location and the resistivity anomaly distribution, a resistivity anomaly heat map is generated. The resistivity anomaly thermal map is used to locate the distortion space coordinate points. Based on the distortion space coordinate points, the control parameters of the acoustic topology sensor are calculated and spiral phase acoustic waves are emitted to generate the acoustic-electric coupling response matrix. The acoustic-electric coupling response matrix and the preset resistivity are combined to generate the resistivity of the entire length of the copper rod.

[0007] As a preferred embodiment of the resistance testing method for copper rod production described in the present invention, emitting a scanning beam on the surface of the copper rod to excite lattice vibrations inside the copper rod refers to emitting a terahertz frequency vector beam to the surface of the copper rod using a non-contact terahertz transmitter array. The electromagnetic energy of the terahertz frequency vector beam is absorbed by the copper rod and converted into thermal vibrations of the lattice through a thermal effect, thereby exciting the lattice inside the copper rod to generate phonon vibrations.

[0008] As a preferred embodiment of the resistance testing method for copper rod production according to the present invention, the resistivity anomaly distortion model is constructed, the test distribution data set is input into the resistivity anomaly distortion model, the lattice distortion position is determined by analyzing the mutation region of the phonon group velocity phase data, and the resistivity anomaly distribution is generated by convolution processing. The specific steps are as follows: The resistivity anomaly distortion model is constructed using phonon-electron scattering theory and convolutional neural network as the basic framework; The resistivity anomaly distortion model consists of an input layer, a theoretical solution layer, a convolution processing layer, and an output layer; The input layer receives the test distribution dataset; The theoretical solution layer uses phonon-electron scattering theory to analyze the mutation area of ​​the phonon group velocity phase data in the test distribution data set, obtains the position of the phase vortex singularity, and determines the lattice distortion position based on the phase vortex singularity position; The convolution processing layer performs convolution processing on the test distribution data set and the lattice distortion position to generate the resistivity anomaly distribution; The output layer outputs the resistivity anomaly distribution.

[0009] As a preferred embodiment of the resistance testing method for copper rod production described in the present invention, the phonon-electron scattering theory refers to the physical mechanism by which phonons and electrons in the crystal inside the copper rod interact, electron movement is hindered, and the resistivity of the copper rod is affected.

[0010] As a preferred embodiment of the resistance testing method for copper rod production of the present invention, the resistivity anomaly thermogram is generated based on the correspondence between the lattice distortion position and the resistivity anomaly distribution, and the specific steps are as follows: Using the preset scattering cross section database, the resistivity anomaly increment of the resistivity anomaly distribution is solved; Perform spatial interpolation on the resistivity anomaly increments to generate a continuous resistivity anomaly field; The resistivity anomaly field and lattice distortion position are mapped to the three-dimensional geometric space of the copper rod to generate a resistivity anomaly thermodynamic map.

[0011] As a preferred embodiment of the resistance testing method for copper rod production described in the present invention, the method comprises the following steps: locating the distorted spatial coordinate points using the resistivity anomaly thermogram, calculating the control parameters of the acoustic topology sensor based on the distorted spatial coordinate points, emitting spiral phase acoustic waves, and generating an acoustic-electric coupling response matrix. Extract the gradient manifold structure of the resistivity anomaly field from the resistivity anomaly thermogram and identify the spatial three-dimensional coordinates of the anomaly extreme points; According to the three-dimensional coordinate points in space, the orbital angular momentum quantum number and phase singular point position of the acoustic topological sensor are calculated, and after mapping the orbital angular momentum quantum number and phase singular point position into the phase and amplitude distribution of the spiral phase acoustic wave, they are aggregated into a spiral phase parameter set; Using the spiral phase parameter set, the acoustic topology sensor is controlled to emit spiral phase sound waves to each three-dimensional coordinate point in space; The acoustic-electric coupling detector is used to synchronously measure the resistance oscillation spectrum of each three-dimensional coordinate point in the spiral phase acoustic wave to form an acoustic-electric coupling response matrix.

[0012] As a preferred embodiment of the resistance testing method for copper rod production of the present invention, the acoustic-electric coupling response matrix and the preset resistivity are fused to generate the resistivity of the entire length of the copper rod. The specific steps are as follows: Perform response feature decomposition on the acoustic-electric coupling response matrix to extract the electric response features; The electrical response characteristics and the preset resistivity are fused by the weighted average method to generate a preliminary resistivity; Optimizing the preliminary resistivity using physical constraints to generate optimized resistivity; The physical constraints refer to the constraint rules for optimizing and adjusting the preliminary resistivity distribution based on the phonon-electron scattering theory and the physical laws of lattice distortion positions; The optimized resistivity is integrated along the axial direction of the copper rod to generate the resistivity of the entire length of the copper rod.

[0013] In a second aspect, the present invention provides a resistance testing system for copper rod production, comprising: A signal acquisition module is used to emit a scanning beam on the surface of the copper rod to stimulate lattice vibration inside the copper rod, collect characteristic phonon spectrum signals generated by the lattice vibration, and generate a test distribution data set; the test distribution data set includes phonon frequency data, amplitude data, and phonon group velocity phase data; The anomaly processing module is used to build a resistivity anomaly distortion model. The test distribution data set is input into the resistivity anomaly distortion model. The lattice distortion location is determined by analyzing the mutation region of the phonon group velocity phase data. The resistivity anomaly distribution is generated through convolution processing. Based on the correspondence between the lattice distortion location and the resistivity anomaly distribution, a resistivity anomaly heat map is generated. A positioning control module is used to locate the distortion space coordinate point using the resistivity anomaly thermal map, calculate the control parameters of the acoustic topology sensor based on the distortion space coordinate point, and emit spiral phase acoustic waves to generate an acoustic-electric coupling response matrix; The fusion output module is used to fuse the acoustic-electric coupling response matrix and the preset resistivity to generate the resistivity of the entire length of the copper rod.

[0014] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, any step of the resistance testing method for copper rod production as described in the first aspect of the present invention is implemented.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the resistance testing method for copper rod production as described in the first aspect of the present invention is implemented.

[0016] The beneficial effects of the present invention are as follows: by constructing a resistivity abnormal distortion model, high-resolution analysis capability is provided for the detection of microscopic defects inside the copper rod, and the precise determination of the lattice distortion position inside the copper rod and the efficient generation of resistivity abnormality distribution are achieved. By analyzing the mutation area of ​​the phonon group velocity phase data, the specific position of the lattice distortion can be accurately identified. At the same time, a continuous resistivity abnormality distribution is generated through convolution processing, providing reliable data support for subsequent resistivity distribution optimization and quality assessment. The present invention is suitable for the detection requirements of high-precision resistance performance in copper rod production, improves the detection accuracy of internal defects in copper rods and the efficiency of production quality control, strengthens the scientific nature of decision-making in the product quality control process, reduces the risk of defective copper rods and ensures the stability of product performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 Flowchart showing the resistance testing method used for copper rod production.

[0019] Figure 2 Schematic diagram of the resistance testing system used for copper rod production.

[0020] Figure 3 Flowchart showing resistivity anomaly.

[0021] Figure 4 Flow chart of the resistivity of the entire length of the copper rod. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0025] Reference Figures 1 to 4 , is an embodiment of the present invention, which provides a resistance testing method for copper rod production, comprising the following steps: S1. Launch a scanning beam on the surface of the copper rod to stimulate the lattice vibration inside the copper rod, collect the characteristic phonon spectrum signal generated by the lattice vibration, and generate a test distribution data set.

[0026] A non-contact terahertz transmitter is used as a scanning beam transmitter, fixed to one end of the copper rod surface, and the terahertz reflector array is adjusted to scan point by point along the axial position of the copper rod to cover the copper rod surface, ensuring that the transmitter operates in the terahertz frequency band (for example, the frequency range is 0.1–10 THz); A terahertz frequency vector beam is emitted to the surface of the copper rod through a non-contact terahertz transmitter array. The electromagnetic energy of the terahertz frequency vector beam is absorbed by the copper rod and converted into thermal vibration of the lattice through the thermal effect, which stimulates the lattice inside the copper rod to generate phonon vibration. Phonon vibration refers to the periodic vibration of atoms in the copper rod crystal near their equilibrium positions, forming phonons, which are the quantization of lattice vibrations; An ultrasonic sensor is used to collect the characteristic phonon spectrum signal generated by the phonon vibration inside the copper rod in real time; for example, the sampling frequency is set to 20 MHz and the acquisition time window is 10 microseconds to avoid distortion of the characteristic phonon spectrum signal; Band-pass filtering is performed on the collected characteristic phonon spectrum signals to remove noise signals below 1 MHz and above 10 MHz, retaining the frequency range related to lattice vibration; Use fast Fourier transform to convert the characteristic phonon spectrum signal into a frequency domain signal, and extract the phonon frequency data and amplitude data; for example, the bandpass filter passband range is 1MHz to 10MHz, and the Fourier transform resolution is 0.01MHz; Based on the collected characteristic phonon spectrum signal, the phonon group velocity phase data is calculated using the formula: ; in, represents the phonon group velocity phase data (unit: radian), represents the phonon vibration frequency (unit: Hertz), Indicates the difference between the scanning beam transmission time and the acoustic sensor reception time (unit: seconds), represents the phase constant that converts the time difference into phase; Align the phonon frequency data, amplitude data and phonon group velocity phase data according to the spatial coordinate points and integrate them into a test distribution data set; The phonon frequency data represents the frequency distribution of phonon vibrations, such as phonons with a frequency range of 10 GHz to 100 GHz. Amplitude data refers to the strength of phonon vibrations, and the amplitude is measured in microns; The phonon group velocity phase data describes the phase change of phonon propagation and reflects the propagation speed and direction of phonons in the lattice.

[0027] S2. Construct a resistivity anomaly distortion model, input the test distribution data set into the resistivity anomaly distortion model, determine the lattice distortion position by analyzing the mutation area of ​​the phonon group velocity phase data, and generate the resistivity anomaly distribution through convolution processing. Based on the correspondence between the lattice distortion position and the resistivity anomaly distribution, generate a resistivity anomaly thermodynamic map.

[0028] The resistivity anomaly distortion model is constructed using phonon-electron scattering theory and convolutional neural network as the basic framework; The phonon-electron scattering theory provides a physical basis for the resistivity anomaly distortion model, describing the physical mechanism by which the interaction between phonons and electrons causes resistivity changes. This is the physical mechanism by which phonons and electrons interact in the crystals inside the copper rod, hindering electron motion and affecting the copper rod's resistivity. Convolutional neural networks are used to extract the correlation between lattice distortion locations and resistivity anomalies in the test distribution dataset; The resistivity anomaly distortion model consists of an input layer, a theoretical solution layer, a convolution processing layer, and an output layer; The input layer receives the test distribution dataset and converts it into tensor format using PyTorch's data loader, ensuring that the phonon frequency data, amplitude data, and phonon group velocity phase data are arranged in the order of the copper rod's axial position. The theoretical solution layer uses phonon-electron scattering theory to analyze the mutation area of ​​the phonon group velocity phase data in the test distribution data set, obtains the position of the phase vortex singularity, and determines the lattice distortion position based on the phase vortex singularity position; The specific steps to determine the lattice distortion position are as follows: First, the phonon group velocity phase data is subjected to a two-dimensional fast Fourier transform (2DFFT) using phonon-electron scattering theory. The phonon group velocity phase data is converted into the frequency domain to generate a phase distribution field. The phase distribution field is used to represent the spatial distribution of phase changes. For example, the NumPy fft2 function is used to generate a phase distribution field with a resolution of 1000 × 1000 pixels. Apply gradient analysis to the phase distribution field, detect the phase point where the gradient changes sharply in the phonon group velocity phase data, mark it as the phase vortex singularity position, and record the axial position of the copper rod corresponding to the phase vortex singularity position as the vortex core coordinate; Finally, combining the vortex core coordinates and phonon-electron scattering theory, the lattice defect region corresponding to the phase vortex singularity position is identified and marked as the lattice distortion position; The convolution processing layer performs convolution processing on the test distribution data set and the lattice distortion position to generate the resistivity anomaly distribution. The specific steps are as follows: The convolutional neural network consists of three convolutional layers (each using a 3×3 convolution kernel), a ReLU activation function, and a pooling layer. It performs a series of convolution, activation, and pooling operations on the phonon frequency data, amplitude data, and phonon group velocity phase data of the test distribution dataset, and outputs the resistivity anomaly distribution. The three convolutional layers are as follows: the first convolutional layer uses 16 3×3 convolution kernels to extract the spatial features of phonon vibration frequency and phase, and outputs a 16-channel resistivity feature map (10,000×16); The second convolutional layer uses 32 3x3 convolution kernels to enhance feature expression and output a 32-channel resistivity feature map (5000x32, the size is halved after pooling); The third convolutional layer uses a 3x3 convolution kernel to generate a single-channel resistivity anomaly distribution (2500x1, after pooling); After each convolution layer, the ReLU activation function is used to enhance nonlinearity, and a 2x2 max pooling layer is used to reduce the spatial dimension of the resistivity anomaly distribution; Using a pre-trained convolutional neural network, based on historical test distribution datasets and the known correspondence between lattice distortion locations and resistivity anomalies, the convolutional neural network weights are optimized to extract the correlation between the test distribution dataset and resistivity anomalies. The test distribution data set and lattice distortion position are input into the trained convolutional neural network, and the resistivity anomaly values ​​along the axial direction of the copper rod are output to form the resistivity anomaly distribution; Abnormal distribution of output resistivity in the output layer; It should be noted that when constructing the resistivity anomaly distortion model, the axial length of the copper rod needs to be considered (assuming 1 meter, a step size of 0.1 mm, and a total of 10,000 sampling points). The resistivity anomaly distortion model is trained using a historical test distribution dataset (assuming 1,000 experiments, using known lattice distortion positions and resistivity anomaly values), and the network weights are optimized through supervised learning. According to the resistivity anomaly distribution caused by phonon-electron scattering, the scattering cross-section value corresponding to each lattice distortion position is queried in the preset scattering cross-section database, the correlation between the scattering cross-section and the resistivity anomaly distribution is calculated, and the resistivity anomaly increment of the resistivity anomaly distribution is generated. The formula is: ; in, Indicates the The abnormal resistivity increment of each lattice distortion position (unit: ohm·m), Indicates the first The phonon-electron scattering cross section corresponding to the lattice distortion position (unit: meter), represents the resistivity increment conversion factor in phonon-electron scattering theory, The generated resistivity anomaly is distributed in the The value of the lattice distortion position (unit: ohm), An index variable representing the position of the lattice distortion; The abnormal resistivity increment refers to the magnitude of resistivity change caused by lattice distortion; The resistivity anomaly increment is spatially interpolated using the cubic spline interpolation method. Along the axial position of the copper rod, the resistivity anomaly increment is interpolated into a continuous curve to generate a continuous resistivity anomaly field, ensuring that the resistivity anomaly field covers the entire length of the copper rod. The resistivity anomaly field and lattice distortion position are mapped to the three-dimensional geometric space of the copper rod using Python's Matplotlib library to generate a resistivity anomaly thermodynamic map. Among them, the resistivity anomaly thermodynamic map includes the axial position of the copper rod (0 to 1 meter, step size 0.001 meter, a total of 1000 points), radial position (assuming uniformity, set to 0) and resistivity anomaly increment (unit: ohm·meter). The horizontal axis represents the axial position of the copper rod, and the vertical axis represents the radial position of the copper rod (assuming radial uniformity). The color represents the resistivity anomaly increment, which is marked as the lattice distortion position.

[0029] S3. Use the resistivity anomaly thermal map to locate the distortion space coordinate points, calculate the control parameters of the acoustic topology sensor based on the distortion space coordinate points, and emit spiral phase acoustic waves to generate the acoustic-electric coupling response matrix.

[0030] Use Python's NumPy library to load the resistivity anomaly heat map, extract the gradient manifold structure of the resistivity anomaly field from the resistivity anomaly heat map, and identify the spatial three-dimensional coordinates of the anomaly extreme points; The spatial three-dimensional coordinates of the anomaly extreme points are represented as the copper rod axial position (x-axis), radial position (y-axis) and resistivity anomaly increment (color value); By analyzing the directional derivatives of the resistivity anomaly increment along the x-axis and y-axis, a gradient vector field is generated to represent the spatial variation trend of the resistivity anomaly; In the gradient manifold structure, the areas where the gradient vector field is close to zero are detected and marked as abnormal extreme points, that is, the extreme values ​​(maximum and minimum values) of the resistivity anomaly. The coordinates of each abnormal extreme point in the three-dimensional geometric space of the copper rod (x-axial position, y-radial position, z-circumferential position, assuming that the circumferential direction is uniformly 0) are recorded to form a list of three-dimensional spatial coordinate points. According to the three-dimensional coordinate points in space, the orbital angular momentum quantum number and phase singular point position of the acoustic topological sensor are calculated, and after mapping the orbital angular momentum quantum number and phase singular point position into the phase and amplitude distribution of the spiral phase acoustic wave, they are aggregated into a spiral phase parameter set; The formula for the orbital angular momentum quantum number is: ; in, represents the orbital angular momentum quantum number, Indicates the axial position of a three-dimensional coordinate point in space (unit: meter), represents the wavelength of the spiral phase sound wave emitted by the acoustic topology sensor (unit: meter), Represents the rounding function; For each three-dimensional coordinate point in space, by taking directional derivatives along the x-axis and y-axis, the gradient manifold structure in the resistivity anomaly thermodynamic map is analyzed, the points where the gradient in the gradient vector field is close to zero are detected, and the position of the phase singularity is determined; Use the topological analysis of the gradient vector field to locate the phase points with drastic phase changes, record them as phase singularity positions, and correspond them to the three-dimensional coordinate points in space; The orbital angular momentum quantum number and the phase singularity position are input into the acoustic topological sensor control algorithm. The phase distribution (based on the orbital angular momentum quantum number) and amplitude distribution (based on the resistivity anomaly increment) of the spiral phase acoustic wave are generated using Python's NumPy library. The phase distribution and amplitude distribution are aggregated into a spiral phase parameter set. Using the spiral phase parameter set, the acoustic topology sensor is controlled to emit spiral phase sound waves to each three-dimensional coordinate point in space; It should be noted that the acoustic topological sensor consists of 8 transducers. The phase distribution is calculated using NumPy. The phase and amplitude of each transducer are adjusted according to the spiral phase parameter set. The phase delay of each transducer is controlled, and the corresponding spiral phase sound wave is emitted to each three-dimensional coordinate point in space. Using an acoustic-electric coupling detector (e.g., a high-sensitivity resistance measuring probe) to synchronously measure the resistance oscillation spectrum of each three-dimensional spatial coordinate point under the spiral phase acoustic wave, the frequency and amplitude of the resistance oscillation are recorded to form an acoustic-electric coupling response matrix; The acoustic-electric coupling detector is a high-sensitivity resistance measuring probe with a sensitivity of 0.01 microohm, a measurement frequency range of 0.1 to 10 MHz, and a resolution of 0.05 MHz; For example, use the NI-DAQ device to acquire the resistance oscillation spectrum with a sampling rate of 20 MHz and a time window of 10 microseconds to generate 200 frequency components (based on fast Fourier transform with a resolution of 0.05 MHz). Each coordinate point is measured once, and the frequency (unit: MHz) and amplitude (unit: microohm) of the resistance oscillation are recorded. The shape of the acoustic-electric coupling response matrix is ​​M by 200 (M is the number of coordinate points, and 200 is the frequency component); Each row in the acoustic-electric coupling response matrix corresponds to a three-dimensional coordinate point in space, and each column corresponds to a frequency component and amplitude value.

[0031] S4. The acoustic-electric coupling response matrix and the preset resistivity are combined to generate the resistivity of the entire length of the copper rod.

[0032] Perform response feature decomposition on the acoustic-electric coupling response matrix to extract the electric response features; Obtain the acoustic-electric coupling response matrix and load the structured data, including the resistance oscillation spectrum of each three-dimensional coordinate point in space; The preset resistivity is defined as the uniform resistivity value of the copper rod in an undistorted state and stored as test distribution data along the axial direction; Use Python's NumPy library to perform principal component analysis (PCA) on the acoustic-electric coupling response matrix, decompose the resistance oscillation spectrum, and extract the electrical response characteristics; The electrical response characteristics represent the resistance oscillation characteristics of each three-dimensional coordinate point in space; The electrical response characteristics and the preset resistivity are fused by the weighted average method to generate the preliminary resistivity along the axial direction of the copper rod; Optimizing the preliminary resistivity using physical constraints to generate optimized resistivity; Physical constraints are constraints that optimize and adjust the preliminary resistivity distribution based on the physical laws of phonon-electron scattering theory and lattice distortion locations. For example, the resistivity near the lattice distortion location should be higher than the average value, and the change should conform to the resistance increment law caused by phonon-electron scattering. Using Python's SciPy library, the preliminary resistivity is adjusted using the least squares method to ensure that the preliminary resistivity is consistent with the lattice distortion location and phonon-electron scattering theory, thereby generating an optimized resistivity distribution. Integrate the optimized resistivity along the axial direction of the copper rod to generate the resistivity of the entire length of the copper rod. The formula is: ; in, Indicates the resistivity of the entire length of the copper rod (ohm·m), Indicates the distance between adjacent sampling points (unit: meter), After optimization, The resistivity of each axial position (in ohms) Indicates the total number of axial sampling points (unit: number), Represents the axial position index variable; The optimized resistivity distribution is numerically integrated along the axial direction of the copper rod to calculate the equivalent resistivity of the entire length of the copper rod. For example, the trapezoidal integration method of Python's NumPy library is used to accumulate the optimized resistivity values ​​to generate a single resistivity of the entire length of the copper rod, reflecting the combined effects of lattice distortion and acoustic-electric coupling.

[0033] This embodiment also provides a resistance testing system for copper rod production, comprising: The signal acquisition module is used to emit a scanning beam on the surface of the copper rod to stimulate the lattice vibration inside the copper rod, collect the characteristic phonon spectrum signal generated by the lattice vibration, and generate a test distribution data set; the test distribution data set includes phonon frequency data, amplitude data, and phonon group velocity phase data; The anomaly processing module is used to build a resistivity anomaly distortion model. The test distribution data set is input into the resistivity anomaly distortion model. The lattice distortion location is determined by analyzing the mutation region of the phonon group velocity phase data. The resistivity anomaly distribution is generated through convolution processing. Based on the correspondence between the lattice distortion location and the resistivity anomaly distribution, a resistivity anomaly heat map is generated. A positioning control module is used to locate the distortion space coordinate point using the resistivity anomaly thermal map, calculate the control parameters of the acoustic topology sensor based on the distortion space coordinate point, and emit spiral phase acoustic waves to generate an acoustic-electric coupling response matrix; The fusion output module is used to fuse the acoustic-electric coupling response matrix and the preset resistivity to generate the resistivity of the entire length of the copper rod.

[0034] This embodiment also provides a computer device suitable for the resistance testing method for copper rod production, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the resistance testing method for copper rod production proposed in the above embodiment.

[0035] The computer device may be a terminal, comprising a processor, memory, a communication interface, a display, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The internal memory provides an environment for the operating system and computer programs stored in the non-volatile storage media. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication. Wireless communication may be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. The display of the computer device may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen overlay on the display, buttons, a trackball, or a touchpad on the computer device housing, or an external keyboard, touchpad, or mouse.

[0036] This embodiment also provides a storage medium having a computer program stored thereon. When the program is executed by a processor, the program implements the resistance testing method for copper rod production proposed in the above embodiment. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0037] In summary, the present invention provides high-resolution analysis capabilities for the detection of microscopic defects inside copper rods by constructing a resistivity anomaly distortion model, realizes the precise determination of the lattice distortion position inside the copper rod and the efficient generation of resistivity anomaly distribution, and accurately identifies the specific position of the lattice distortion by analyzing the mutation region of the phonon group velocity phase data. At the same time, a continuous resistivity anomaly distribution is generated through convolution processing, providing reliable data support for subsequent resistivity distribution optimization and quality assessment. The invention is suitable for the detection demand for high-precision resistance performance in copper rod production, improves the detection accuracy of internal defects in copper rods and the efficiency of production quality control, strengthens the scientific nature of decision-making in the product quality control process, reduces the risk of defective copper rods, and ensures the stability of product performance.

[0038] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A resistance testing method for copper rod production, characterized in that: include, emitting a scanning beam on the surface of the copper rod to excite lattice vibration inside the copper rod, collecting characteristic phonon spectrum signals generated by the lattice vibration, and generating a test distribution data set; the test distribution data set includes phonon frequency data, amplitude data, and phonon group velocity phase data; A resistivity anomaly distortion model is constructed. The test distribution data set is input into the resistivity anomaly distortion model. The lattice distortion location is determined by analyzing the mutation region of the phonon group velocity phase data. The resistivity anomaly distribution is generated through convolution processing. Based on the correspondence between the lattice distortion location and the resistivity anomaly distribution, a resistivity anomaly heat map is generated. The resistivity anomaly thermal map is used to locate the distortion space coordinate points. Based on the distortion space coordinate points, the control parameters of the acoustic topology sensor are calculated and spiral phase acoustic waves are emitted to generate the acoustic-electric coupling response matrix. The acoustic-electric coupling response matrix and the preset resistivity are combined to generate the resistivity of the entire length of the copper rod.

2. The resistance testing method for copper rod production according to claim 1, wherein: The method of emitting a scanning beam on the surface of the copper rod to stimulate lattice vibration inside the copper rod refers to using a non-contact terahertz transmitter array to emit a terahertz frequency vector beam to the surface of the copper rod. The electromagnetic energy of the terahertz frequency vector beam is absorbed by the copper rod and converted into thermal vibration of the lattice through the thermal effect, thereby stimulating the lattice inside the copper rod to generate phonon vibration.

3. The resistance testing method for copper rod production according to claim 1, wherein: The resistivity anomaly distortion model is constructed, and the test distribution data set is input into the resistivity anomaly distortion model, the lattice distortion position is determined by analyzing the mutation area of ​​the phonon group velocity phase data, and the resistivity anomaly distribution is generated by convolution processing. The specific steps are: The resistivity anomaly distortion model is constructed using phonon-electron scattering theory and convolutional neural network as the basic framework; The resistivity anomaly distortion model consists of an input layer, a theoretical solution layer, a convolution processing layer, and an output layer; The input layer receives the test distribution dataset; The theoretical solution layer uses phonon-electron scattering theory to analyze the mutation area of ​​the phonon group velocity phase data in the test distribution data set, obtains the position of the phase vortex singularity, and determines the lattice distortion position based on the phase vortex singularity position; The convolution processing layer performs convolution processing on the test distribution data set and the lattice distortion position to generate the resistivity anomaly distribution; The output layer outputs the resistivity anomaly distribution.

4. The resistance testing method for copper rod production according to claim 3, wherein: The phonon-electron scattering theory refers to the physical mechanism by which phonons and electrons interact in the crystal inside the copper rod, hindering the movement of electrons and affecting the resistivity of the copper rod.

5. The resistance testing method for copper rod production according to claim 1, wherein: The specific steps of generating a resistivity anomaly thermal map based on the correspondence between the lattice distortion position and the resistivity anomaly distribution are as follows: Using the preset scattering cross section database, the resistivity anomaly increment of the resistivity anomaly distribution is solved; Perform spatial interpolation on the resistivity anomaly increments to generate a continuous resistivity anomaly field; The resistivity anomaly field and lattice distortion position are mapped to the three-dimensional geometric space of the copper rod to generate a resistivity anomaly thermodynamic map.

6. The resistance testing method for copper rod production according to claim 1, wherein: The method of using the resistivity anomaly thermal map to locate the distorted space coordinate point, calculating the control parameters of the acoustic topology sensor according to the distorted space coordinate point and emitting a spiral phase acoustic wave to generate an acoustic-electric coupling response matrix is ​​specifically as follows: Extract the gradient manifold structure of the resistivity anomaly field from the resistivity anomaly thermogram and identify the spatial three-dimensional coordinates of the anomaly extreme points; According to the three-dimensional coordinate points in space, the orbital angular momentum quantum number and phase singular point position of the acoustic topological sensor are calculated, and after mapping the orbital angular momentum quantum number and phase singular point position into the phase and amplitude distribution of the spiral phase acoustic wave, they are aggregated into a spiral phase parameter set; Using the spiral phase parameter set, the acoustic topology sensor is controlled to emit spiral phase sound waves to each three-dimensional coordinate point in space; The acoustic-electric coupling detector is used to synchronously measure the resistance oscillation spectrum of each three-dimensional coordinate point in the spiral phase acoustic wave to form an acoustic-electric coupling response matrix.

7. The resistance testing method for copper rod production according to claim 1, wherein: The acoustic-electric coupling response matrix and the preset resistivity are combined to generate the resistivity of the entire length of the copper rod. The specific steps are: Perform response feature decomposition on the acoustic-electric coupling response matrix to extract the electric response features; The electrical response characteristics and the preset resistivity are fused by the weighted average method to generate a preliminary resistivity; Optimizing the preliminary resistivity using physical constraints to generate optimized resistivity; The physical constraints refer to the constraint rules for optimizing and adjusting the preliminary resistivity distribution based on the phonon-electron scattering theory and the physical laws of lattice distortion positions; The optimized resistivity is integrated along the axial direction of the copper rod to generate the resistivity of the entire length of the copper rod.

8. A resistance testing system for copper rod production, based on the resistance testing method for copper rod production according to any one of claims 1 to 7, characterized in that: include, A signal acquisition module is used to emit a scanning beam on the surface of the copper rod to stimulate lattice vibration inside the copper rod, collect characteristic phonon spectrum signals generated by the lattice vibration, and generate a test distribution data set; the test distribution data set includes phonon frequency data, amplitude data, and phonon group velocity phase data; The anomaly processing module is used to build a resistivity anomaly distortion model. The test distribution data set is input into the resistivity anomaly distortion model. The lattice distortion location is determined by analyzing the mutation region of the phonon group velocity phase data. The resistivity anomaly distribution is generated through convolution processing. Based on the correspondence between the lattice distortion location and the resistivity anomaly distribution, a resistivity anomaly heat map is generated. A positioning control module is used to locate the distortion space coordinate point using the resistivity anomaly thermal map, calculate the control parameters of the acoustic topology sensor based on the distortion space coordinate point, and emit spiral phase acoustic waves to generate an acoustic-electric coupling response matrix; The fusion output module is used to fuse the acoustic-electric coupling response matrix and the preset resistivity to generate the resistivity of the entire length of the copper rod.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the resistance testing method for copper rod production according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the resistance testing method for copper rod production according to any one of claims 1 to 7 are implemented.

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