A method, system and device for testing the high-speed signal transmission performance of a copper cable

Abstract

The present application relates to copper cable signal test technical field, specifically to a kind of copper cable high-speed signal transmission performance test method and related equipment, comprising: control copper cable internal air pressure is according to preset gradient drop, while gradient injection humid air, collect signal parameters under different air pressure, humidity combination, generate coupling signal parameter matrix;Based on coupling signal parameter matrix, construct initial coupling model, model is used to associate air pressure, humidity and copper cable signal transmission performance parameter;From the association logic in the preset logic library, call association logic and optimize the initial coupling model, generate callable modified coupling model;The present application can shorten model development cycle, significantly improve test efficiency, accurately match copper cable rapid iteration industry demand, reduce redundant design cost, realize the automatic performance classification of batch copper cable through preset threshold value, match coupling model through signal parameter change, early warning potential failure, quickly locate fault condition, reduce network interruption risk.

Description

Technical Field

[0001] This invention relates to the field of copper cable signal testing technology, specifically to a method and related equipment for testing the high-speed signal transmission performance of copper cables. Background Technology

[0002] As high-speed interconnect technology evolves towards speeds of 224Gbps and above, direct-connect copper cables remain the core transmission medium for data centers and communication networks due to their cost advantages and compatibility. To meet the stringent requirements of high-frequency signal transmission, modern copper cables not only need to meet basic electrical standards (spark test at AC-1500V level under rated voltage of 30V / rated temperature of 80℃, DC withstand voltage of 500V / min, and insulation resistance of 10MΩ-Km at 20℃, etc.), but also achieve performance breakthroughs through precise structural design: differentiated shielding layer thickness design stabilizes the common-mode impedance in the range of 27.5±6.5Ω, conductor stranding process reduces DC impedance to 4562Ω / km, and combined with internal pressure packaging technology with optimized double twist pitch, a delay deviation of ≤6ps / m is achieved at millimeter-level wire diameter, and precise control of the entire frequency band attenuation index of 2.1-7.1dB / m@2-20GHz is achieved. However, the introduction of new materials and processes (such as low dielectric composite materials and multilayer shielding structures) has led to highly nonlinear coupling in the physical properties of copper cables. When the impedance tolerance reaches 85±5Ω at 245kHz, millimeter-level wire diameter differences will result in large fluctuations in characteristic impedance due to the same humidity fluctuations.

[0003] In existing technologies, copper cable performance testing mostly relies on empirical formulas or fixed coupling models, which cannot adapt to changes in copper cable structure or dynamic disturbances in air pressure and humidity parameters (such as humidity penetration caused by air pressure leakage). This results in test errors accumulating as the copper cable's service time increases, leading to large differences in bit error rate prediction deviations. When copper cable deteriorates due to air pressure-humidity coupling caused by damage, traditional models cannot quickly distinguish the root cause of performance degradation (environmental anomalies or physical damage) through real-time monitoring of parameters such as attenuation and characteristic impedance, which severely restricts the speed of operation and maintenance response.

[0004] This problem is particularly prominent in high-speed scenarios: 224Gbps copper cables have extremely low tolerance for characteristic impedance and signal integrity. Existing testing systems, due to lagging model iterations, cannot quickly provide high-precision coupling models for new copper cable specifications, forcing manufacturers to use conservative design redundancy parameters, sacrificing bandwidth efficiency and cost competitiveness. Therefore, there is an urgent need for a testing method that can accurately and dynamically analyze copper cable characteristics and quickly generate corrected coupling models to support the rapid development and precise operation and maintenance of high-speed copper cables. Summary of the Invention

[0005] I. Technical problems to be solved

[0006] The existing copper cable development process suffers from outdated coupling model iterations, making it impossible to quickly provide high-precision coupling models for new copper cable specifications and to resolve the technical problem of the coupling relationship between air pressure, humidity parameters and signal transmission performance.

[0007] II. Technical Solution

[0008] The present invention is achieved through the following technical solution:

[0009] According to a first aspect of the present invention, a method for testing the high-speed signal transmission performance of copper cables is provided, comprising:

[0010] S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, while simultaneously injecting humid air at the gradient, collecting signal parameters under different combinations of air pressure and humidity, and generating a coupled signal parameter matrix.

[0011] S2: Based on the coupling signal parameter matrix, an initial coupling model is constructed. The model is used to correlate air pressure, humidity and signal transmission performance parameters of copper cable.

[0012] S3: Call the associated logic from the preset associated logic library to optimize and correct the initial coupling model, and generate a callable corrected coupling model.

[0013] Furthermore, the initial coupling model in step S2 is defined by the signal attenuation function, the characteristic impedance function, and the bit error rate function:

[0014]

[0015] In the formula, α is the signal attenuation; Z is the characteristic impedance; BER is the bit error rate; P is the air pressure; H is the humidity; P0 is the pre-pressurized air pressure inside the copper cable; H0 is the humidity parameter with 30% RH as the reference; k1 is the influence coefficient of air pressure on attenuation; k2 is the influence coefficient of humidity on attenuation; k3 is the linear correction coefficient of air pressure on characteristic impedance; k4 is the linear correction coefficient of humidity on characteristic impedance; k7 is the comprehensive influence coefficient of bit error rate; a is the dimensionless air pressure index; b is the dimensionless humidity index; and n is the dimensionless humidity nonlinear index.

[0016] Furthermore, the optimization and correction in step S3 includes:

[0017] S31: Call the first association logic from the preset association logic library, wherein the association logic library stores multiple predefined association logics;

[0018] S32: Generate a first association function based on the first association logic;

[0019] S33: In response to the model correction instruction, determine the second association logic from the association logic library;

[0020] S34: Replace the first association logic identifier in the first association function with the identifier of the second association logic to generate the second association function;

[0021] S35: Based on the second correlation function, perform recorrelation calculation on the original signal parameter matrix and update the model coefficients;

[0022] The first correlation function and the second correlation function are used to calculate the correlation between the rate of change of signal parameters and air pressure and humidity parameters.

[0023] Furthermore, the first correlation function characterizes the correlation logic between signal attenuation and air pressure, and the second correlation function characterizes the correlation logic between characteristic impedance and humidity, wherein:

[0024] The first correlation function is:

[0025]

[0026] The second correlation function is:

[0027]

[0028] Among them, Q L1 R L2 are the first and second logical identifiers of the association, respectively; corr is the Pearson correlation coefficient.

[0029] Furthermore, the re-association calculation includes:

[0030] S351: Map unstructured data to structured data, wherein the unstructured data is a time-domain reflectance waveform and the structured data is air pressure and humidity values;

[0031] S352: Based on the second correlation function, perform joint analysis on the unstructured data and structured data to generate dynamic weighting coefficients w. j ;

[0032] S353: Update the model coefficients using the following objective function:

[0033]

[0034] Where j is the parameter category index, and its value of 1, 2, and 3 correspond to signal attenuation, characteristic impedance, and bit error rate, respectively; w j ΔM is a dynamic weighting coefficient for signal attenuation, characteristic impedance, and bit error rate; j denoted as the relative deviation of the signal attenuation, characteristic impedance, and bit error rate of the j-th type of parameters.

[0035] Furthermore, step S3 also includes a third association logic:

[0036] S36: Obtain the set of signal parameter matrices {K1, K2, ..., K} deployed at N terminals of the copper cable. N}, where the parameter matrix K of the i-th terminal i =[a i Z i BER i ] T ;

[0037] S37: Calculate the signal attenuation mutation rate between adjacent terminals. If the signal attenuation rate of the i-th terminal is greater than a predetermined threshold, then mark the interval [i, i+1] as a candidate region for damage. The formula for calculating the signal attenuation mutation rate is as follows:

[0038]

[0039] S38: Use the time-domain reflectometry method to locate the damage point in the candidate area. The calculation formula is as follows:

[0040]

[0041] In the formula, K i Let Δα be the signal parameter matrix of the i-th terminal, including the signal attenuation, characteristic impedance, and bit error rate of the i-th terminal signal; i denoted as the signal attenuation abrupt change rate, representing the difference in signal attenuation between the i-th and i+1-th terminals; L is the distance from the break point to the nearest terminal; c is the signal propagation speed in the copper cable; Δt is the time difference between the transmitted signal and the reflected signal.

[0042] The present invention also provides a copper cable high-speed signal transmission performance testing system, comprising:

[0043] The signal acquisition module is configured to acquire the signal attenuation, characteristic impedance, bit error rate, air pressure and humidity values ​​of the copper cable, and generate a coupled signal parameter matrix.

[0044] The association logic library stores multiple predefined association logics, including a first association logic characterizing signal attenuation and air pressure, a second association logic characterizing characteristic impedance and humidity, and a third association logic characterizing the candidate damage region and the abrupt change rate of signal attenuation.

[0045] The processing module is configured to receive user commands or automatic trigger signals, and generate correction commands and output commands.

[0046] The dynamic logic switching module is configured to respond to the correction instructions of the central control module by calling the target associated logic from the associated logic library and generating the associated function;

[0047] The model optimization module is configured to update the model coefficients based on the dynamic weight coefficients and the results of joint analysis of unstructured data;

[0048] The decision module is configured to determine whether to generate a damage assessment report based on the model optimization results and preset thresholds.

[0049] The output module is configured to respond to the output commands of the central control module by outputting a modified coupling model and a damage assessment report.

[0050] Furthermore, the dynamic logic switching module specifically includes:

[0051] The identifier replacement unit is used to replace the logical identifier in the association function with the target logical identifier;

[0052] The data mapping unit is used to align the time-domain reflection waveform with air pressure and humidity values ​​in time and space.

[0053] The function generation unit is used to generate objective functions that include dynamic weights.

[0054] This invention provides a device comprising:

[0055] Memory, used to store computer programs;

[0056] A processor is used to execute the computer program to implement the steps of a method for testing the performance of high-speed signal transmission over copper cables.

[0057] The present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, is used to implement the steps of a method for testing the performance of high-speed signal transmission over copper cables.

[0058] III. Beneficial Effects

[0059] The above one or more embodiments have the following advantages or benefits:

[0060] This invention discloses a method for testing the high-speed signal transmission performance of copper cables. By acquiring signal parameters under different combinations of air pressure and humidity in the laboratory, a coupled signal parameter matrix is ​​generated. The initial coupling model is then optimized and corrected using data to quickly generate a suitable modified coupling model. Compared to traditional methods that rely on manual experience to fit the detection model, this invention can shorten the model development cycle to several hours, significantly improving testing efficiency. It accurately matches the industry's need for rapid iteration of copper cables, reduces redundant design costs, and achieves automated performance grading of batch copper cables through preset thresholds. Furthermore, during the use of copper cables, the coupling model is matched to signal parameter changes to provide early warning of potential faults, quickly locate fault conditions, and reduce the risk of network interruption. Attached Figure Description

[0061] The above-described features, other objects, and advantages of the present invention will become clearer from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

[0062] Figure 1 This is a flowchart illustrating the steps of a copper cable high-speed signal transmission performance testing method according to the present invention;

[0063] Figure 2 This is a schematic diagram of the structure of a copper cable high-speed signal transmission performance testing system according to the present invention; Detailed Implementation

[0064] This invention provides a method for testing the high-speed signal transmission performance of copper cables, comprising the following steps:

[0065] S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, while simultaneously injecting humid air at the gradient, collecting signal parameters under different combinations of air pressure and humidity, and generating a coupled signal parameter matrix.

[0066] S2: Based on the coupled signal parameter matrix, an initial coupling model is constructed. The model is used to correlate air pressure, humidity and signal transmission performance parameters of copper cable.

[0067] S3: Call the associated logic from the preset associated logic library to optimize and correct the initial coupling model, and generate a callable corrected coupling model.

[0068] In step S1, signal acquisition is performed if the air pressure and humidity reach a steady-state equilibrium. The steady-state air pressure condition is that the air pressure change is no higher than 0.2 kPa within 1 / 300 s; the humidity equilibrium condition is that the humidity change rate is no higher than 0.1% per minute, and the humidity change is no higher than 0.1% RH / min. The air pressure descent gradient is 50 kPa per increment, and the humidity gradient injection values ​​are 50%, 65%, 80%, and 95% RH.

[0069] The initial coupling model in step S2 is defined by the signal attenuation function, characteristic impedance function, and bit error rate function:

[0070]

[0071] In the formula, α is the signal attenuation; Z is the characteristic impedance; BER is the bit error rate; P is the air pressure; H is the humidity; P0 is the pre-pressurized air pressure inside the copper cable; H0 is the humidity parameter with 30% RH as the reference; k1 is the influence coefficient of air pressure on attenuation; k2 is the influence coefficient of humidity on attenuation; k3 is the linear correction coefficient of air pressure on characteristic impedance; k4 is the linear correction coefficient of humidity on characteristic impedance; k7 is the comprehensive influence coefficient of bit error rate; a is the dimensionless air pressure index; b is the dimensionless humidity index; and n is the dimensionless humidity nonlinear index.

[0072] The optimization corrections in step S3 include:

[0073] S31: Call the first association logic from the preset association logic library. The association logic library stores multiple predefined association logics.

[0074] S32: Generate the first association function based on the first association logic;

[0075] S33: In response to the model correction instruction, determine the second association logic from the association logic library;

[0076] S34: Replace the first association logic identifier in the first association function with the identifier of the second association logic to generate the second association function;

[0077] S35: Re-correlate the original signal parameter matrix based on the second correlation function to update the model coefficients;

[0078] The first and second correlation functions are used to calculate the correlation between the rate of change of signal parameters and air pressure and humidity parameters.

[0079] The first correlation function characterizes the correlation logic between signal attenuation and air pressure, and the second correlation function characterizes the correlation logic between characteristic impedance and humidity, wherein:

[0080] The first correlation function is:

[0081]

[0082] The second correlation function is:

[0083]

[0084] Among them, Q L1 R L2 are the first and second logical identifiers of the association, respectively; corr is the Pearson correlation coefficient.

[0085] Reassociation calculations include:

[0086] S351: Map unstructured data to structured data. The unstructured data is a time-domain reflectance waveform, and the structured data is air pressure and humidity values.

[0087] S352: Based on the second correlation function, perform joint analysis on unstructured and structured data to generate dynamic weighting coefficients w. j ;

[0088] S353: Update the model coefficients using the following objective function:

[0089]

[0090] Where j is the parameter category index, and its value of 1, 2, and 3 correspond to signal attenuation, characteristic impedance, and bit error rate, respectively; w j ΔM is a dynamic weighting coefficient for signal attenuation, characteristic impedance, and bit error rate; j denoted as the relative deviation of the signal attenuation, characteristic impedance, and bit error rate of the j-th type of parameters.

[0091] Step S3 further includes a third association logic for locating the copper cable fault location:

[0092] S36: Obtain the set of signal parameter matrices {K1, K2, ..., K} deployed at N terminals of the copper cable. N}, where the parameter matrix K of the i-th terminal i =[α i Z i BER i ] T ;

[0093] S37: Calculate the signal attenuation mutation rate between adjacent terminals. If the signal attenuation rate of the i-th terminal is greater than a predetermined threshold, then mark the interval [i, i+1] as a candidate region for damage. The formula for calculating the signal attenuation mutation rate is as follows:

[0094]

[0095] S38: Use the time-domain reflectometry method to locate the damage point in the candidate area. The calculation formula is as follows:

[0096]

[0097] In the formula, K i Let Δα be the signal parameter matrix of the i-th terminal, including the signal attenuation, characteristic impedance, and bit error rate of the i-th terminal signal; i denoted as the signal attenuation abrupt change rate, representing the difference in signal attenuation between the i-th and i+1-th terminals; L is the distance from the break point to the nearest terminal; c is the signal propagation speed in the copper cable; Δt is the time difference between the transmitted signal and the reflected signal.

[0098] like Figure 2This invention also provides a copper cable high-speed signal transmission performance testing system, comprising: a signal acquisition module configured to acquire signal attenuation, characteristic impedance, bit error rate, air pressure, and humidity values ​​of the copper cable, and generate a coupled signal parameter matrix; an association logic library storing multiple predefined association logics, including a first association logic characterizing signal attenuation and air pressure, a second association logic characterizing characteristic impedance and humidity, and a third association logic characterizing the candidate damage area and the signal attenuation mutation rate; a processing module configured to receive user instructions or automatically trigger signals, and generate correction instructions and output instructions; a dynamic logic switching module configured to respond to correction instructions from the central control module, call the target association logic from the association logic library, and generate an association function; a model optimization module configured to update model coefficients based on dynamic weight coefficients and unstructured data joint analysis results; a decision module configured to determine whether to generate a damage assessment report based on the model optimization results and a preset threshold; and an output module configured to respond to output instructions from the central control module, and output the corrected coupled model and damage assessment report.

[0099] The dynamic logic switching module specifically includes: an identifier replacement unit, used to replace the logical identifier in the association function with the target logical identifier; a data mapping unit, used to align the time-domain reflection waveform with the air pressure and humidity values ​​in time and space; and a function generation unit, used to generate a target function containing dynamic weights.

[0100] The present invention also provides an apparatus comprising: a memory for storing a computer program; and a processor for executing the steps of a method for testing the performance of high-speed signal transmission over copper cables when executing the computer program.

[0101] When the processor executes the computer program, it implements the above-mentioned copper cable high-speed signal transmission performance testing method. For example, it controls the internal air pressure of the copper cable to decrease according to a preset gradient, while simultaneously injecting humid air at the gradient, and collects signal parameters under different combinations of air pressure and humidity to generate a coupled signal parameter matrix; based on the coupled signal parameter matrix, it constructs an initial coupling model, which is used to correlate air pressure, humidity and the signal transmission performance parameters of the copper cable; it calls the correlation logic from the preset correlation logic library to optimize and correct the initial coupling model, generating a callable corrected coupling model.

[0102] Alternatively, the processor executes the computer program to implement the functions of each module in the above system. For example, the computer program can be divided into one or more modules / units, one or more of which are stored in memory and executed by the processor to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing preset functions, and the instruction segments describe the execution process of the computer program in the copper cable high-speed signal transmission performance testing equipment. For example, the signal acquisition module is configured to acquire the signal attenuation, characteristic impedance, bit error rate, air pressure, and humidity values ​​of the copper cable, and generate a coupled signal parameter matrix; the association logic library stores multiple predefined association logics, including a first association logic representing the relationship between signal attenuation and air pressure, a second association logic representing the relationship between characteristic impedance and humidity, and a third association logic representing the relationship between the candidate damage area and the abrupt change rate of signal attenuation; the processing module is configured to receive user instructions or automatically trigger signals to generate correction instructions and output instructions; the dynamic logic switching module is configured to respond to the correction instructions from the central control module, call the target association logic from the association logic library, and generate an association function; the model optimization module is configured to update the model coefficients based on the dynamic weight coefficients and the joint analysis results of unstructured data; the decision module is configured to determine whether to generate a damage assessment report based on the model optimization results and preset thresholds; and the output module is configured to respond to the output instructions from the central control module and output the corrected coupled model and the damage assessment report. The dynamic logic switching module specifically includes: an identifier replacement unit, used to replace the logical identifier in the association function with the target logical identifier; a data mapping unit, used to align the time-domain reflection waveform with the air pressure and humidity values ​​in time and space; and a function generation unit, used to generate a target function containing dynamic weights.

[0103] The copper cable high-speed signal transmission performance testing equipment can be a desktop computer, laptop, handheld computer, or cloud server, etc. The communication cable electrical performance testing equipment may include, but is not limited to, processors and memory. Those skilled in the art will understand that the above are examples of copper cable high-speed signal transmission performance testing equipment and do not constitute a limitation on such equipment. It may include more components than described above, or combine certain components, or different components. For example, the copper cable high-speed signal transmission performance testing equipment may also include input / output devices, network access devices, buses, etc.

[0104] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, a processor, or any conventional processor. The processor is the control center for copper cable high-speed signal transmission performance testing, connecting various parts of the entire copper cable high-speed signal transmission performance testing equipment through various interfaces and lines.

[0105] The memory can be used to store computer programs and / or modules. The processor realizes various functions of the copper cable high-speed signal transmission performance testing equipment by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory.

[0106] The memory can primarily include a program storage area and a data storage area. The program storage area can store the operating system, at least one application program required for a function (such as sound playback, image playback, etc.), etc.; the data storage area can store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0107] The present invention also provides a computer-readable storage medium storing a computer program, wherein the steps of a method for testing the performance of high-speed signal transmission over copper cables are implemented when the computer program is executed by a processor.

[0108] If a module / unit integrated into a high-speed signal transmission performance testing system for copper cables is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0109] Based on this understanding, the present invention can implement all or part of the process in the above-mentioned copper cable high-speed signal transmission performance test method, or it can be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned copper cable high-speed signal transmission performance test method. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or preset intermediate form, etc.

[0110] Computer-readable storage media may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0111] In summary, this embodiment provides a method and system for testing the high-speed signal transmission performance of copper cables. It utilizes data testing to create an application system that combines project testing, data processing, and data analysis. Based on the physical characteristics of copper cables of different specifications (such as wire diameter, shielding structure, and material dielectric constant), the coupling relationship between signal parameters and air pressure and humidity parameters after internal pressurization of various copper cables exhibits a complex, non-linear structure. This method and system are simple to implement. By acquiring signal parameters under different combinations of air pressure and humidity in the laboratory, a coupled signal parameter matrix is ​​generated. The initial coupling model is then optimized and corrected using data, quickly generating a suitable corrected coupling model. Compared to traditional methods that rely on manual experience to fit model coefficients, this invention can shorten the model development cycle to several hours, significantly improving testing efficiency. It accurately matches the industry's need for rapid iteration of copper cable technology, reduces redundant design costs, and achieves automated performance grading of batch copper cables through preset thresholds. Furthermore, during copper cable use, by matching the coupling model with changes in signal parameters, potential faults can be predicted in advance, reducing the risk of network outages.

[0112] The above embodiments are merely one of the implementation methods for achieving the technical solution of the present invention. The scope of protection claimed by the present invention is not limited to this embodiment, but also includes any variations, substitutions and other implementation methods that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention.

Claims

1. A method for testing the performance of high-speed signal transmission over copper cables, characterized in that, Includes the following steps: S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, while simultaneously injecting humid air at the gradient, collecting signal parameters under different combinations of air pressure and humidity, and generating a coupled signal parameter matrix. S2: Based on the coupling signal parameter matrix, an initial coupling model is constructed, which is used to correlate air pressure, humidity and signal parameters of copper cable; S3: Call the associated logic from the preset associated logic library to optimize and correct the initial coupling model, and generate a callable corrected coupling model; The optimization correction in step S3 includes: S31: Call the first association logic from the preset association logic library, wherein the association logic library stores multiple predefined association logics; S32: Generate a first association function based on the first association logic; S33: In response to the model correction instruction, determine the second association logic from the association logic library; S34: Replace the first association logic identifier in the first association function with the identifier of the second association logic to generate the second association function; S35: Based on the second correlation function, perform recorrelation calculation on the original signal parameter matrix and update the model coefficients; The first correlation function and the second correlation function are used to calculate the correlation between the rate of change of signal parameters and air pressure and humidity parameters; The first correlation function characterizes the correlation logic between signal attenuation and air pressure, and the second correlation function characterizes the correlation logic between characteristic impedance and humidity, wherein: The first correlation function is: ； The second correlation function is: ； in, , These are the first and second associated logical identifiers, respectively; The correlation coefficient is the Pearson correlation coefficient. This refers to the signal attenuation. It refers to air pressure; Characteristic impedance; Humidity; This is a time parameter.

2. The method for testing the high-speed signal transmission performance of copper cables according to claim 1, characterized in that, The initial coupling model in step S2 is defined by the signal attenuation function, characteristic impedance function, and bit error rate function: In the formula, This refers to the signal attenuation. Characteristic impedance; Bit error rate; It refers to air pressure; humidity; Pre-pressurize the inside of the copper cable; The baseline humidity parameter is 30%RH. The coefficient representing the effect of air pressure on attenuation; The coefficient representing the effect of humidity on attenuation; This is the linear correction factor for the characteristic impedance caused by air pressure; This is the linear correction factor for the characteristic impedance due to humidity. This is the comprehensive impact coefficient of the bit error rate; The barometric pressure index is a dimensionless barometric pressure index. The humidity index is a dimensionless measure. It is a dimensionless humidity nonlinear index.

3. The method for testing the high-speed signal transmission performance of copper cables according to claim 1, characterized in that, The re-association calculation includes: S351: Map unstructured data to structured data, wherein the unstructured data is a time-domain reflectance waveform and the structured data is air pressure and humidity values; S352: Based on the second correlation function, perform joint analysis on the unstructured data and structured data to generate dynamic weight coefficients. ; S353: Update the model coefficients using the following objective function: ； in, This is the parameter category index, where values ​​1, 2, and 3 correspond to signal attenuation, characteristic impedance, and bit error rate, respectively. These are dynamic weighting coefficients for signal attenuation, characteristic impedance, and bit error rate. denoted as the relative deviation of the signal attenuation, characteristic impedance, and bit error rate of the j-th type of parameters.

4. The method for testing the high-speed signal transmission performance of copper cables according to claim 1, characterized in that, Step S3 also includes a third association logic: S36: Obtain the set of signal parameter matrices for deploying signal acquisition devices at N terminals of the copper cable. The parameter matrix of the i-th terminal ; S37: Calculate the signal attenuation mutation rate between adjacent terminals. If the signal attenuation rate of the i-th terminal is greater than a predetermined threshold, then mark the interval. The candidate region for damage is defined by the following formula: The formula for calculating the signal attenuation abrupt change rate is: ； S38: Use the time-domain reflectometry method to locate the damage point in the candidate area. The calculation formula is as follows: ； In the formula, Let be the signal parameter matrix of the i-th terminal, including the signal attenuation, characteristic impedance, and bit error rate of the i-th terminal signal; The signal attenuation abrupt change rate represents the difference in signal attenuation between the i-th and i+1-th terminals. This is the distance from the damaged point to the nearest terminal. The signal propagation speed in the copper cable; The time difference between the transmitted signal and the reflected signal; Let be the signal attenuation of the i-th terminal signal parameter matrix; This represents the signal attenuation of the (i+1)th terminal signal parameter matrix.

5. A copper cable high-speed signal transmission performance testing system, used to implement the steps of the copper cable high-speed signal transmission performance testing method according to any one of claims 1-4, characterized in that, include: The signal acquisition module is configured to acquire the signal attenuation, characteristic impedance, bit error rate, air pressure and humidity values ​​of the copper cable, and generate a coupled signal parameter matrix. The association logic library stores multiple predefined association logics, including a first association logic characterizing the signal attenuation and air pressure, a second association logic characterizing the characteristic impedance and humidity, and a third association logic characterizing the candidate damage region and the signal attenuation abrupt change rate. The processing module is configured to receive user commands or automatic trigger signals, and generate correction commands and output commands. The dynamic logic switching module is configured to respond to the correction instruction of the processing module by calling the target association logic from the association logic library and generating the association function; The model optimization module is configured to update the model coefficients based on the dynamic weight coefficients and the results of joint analysis of unstructured data; The decision module is configured to determine whether to generate a damage assessment report based on the model optimization results and preset thresholds. The output module is configured to respond to the output instructions of the processing module by outputting a corrected coupling model and a damage assessment report.

6. The copper cable high-speed signal transmission performance testing system according to claim 5, characterized in that, The dynamic logic switching module specifically includes: The identifier replacement unit is used to replace the logical identifier in the association function with the target logical identifier; The data mapping unit is used to align the time-domain reflection waveform with air pressure and humidity values ​​in time and space. The function generation unit is used to generate objective functions that include dynamic weights.

7. A copper cable high-speed signal transmission performance testing device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the copper cable high-speed signal transmission performance testing method according to any one of claims 1-4.

8. A copper cable high-speed signal transmission performance testing device, characterized in that, include: A computer-readable storage medium storing a computer program, characterized in that, when executed by a processor, the computer program is used to implement the steps of the copper cable high-speed signal transmission performance testing method according to any one of claims 1-4.

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