Method for testing high-speed signal transmission performance of copper cable and related equipment

Abstract

The invention relates to the technical field of copper cable signal testing, in particular to a copper cable high-speed signal transmission performance testing method and related equipment, and the method comprises the steps: controlling the internal air pressure of a copper cable to decrease according to a preset gradient, injecting wet air in a gradient manner, collecting signal parameters under different air pressure and humidity combinations, and generating a coupling signal parameter matrix; based on the coupling signal parameter matrix, an initial coupling model is constructed, and the model is used for associating air pressure, humidity and signal transmission performance parameters of the copper cable; calling association logic from a preset association logic library to optimize and correct the initial coupling model, and generating a callable corrected coupling model; the method can shorten the model development period, significantly improve the test efficiency, accurately match the industry demand of rapid iteration of the copper cable, reduce the redundancy design cost, realize automatic performance grading of batch copper cables through a preset threshold, match a coupling model through signal parameter changes, early warn potential faults in advance, rapidly position the fault condition, and improve the reliability of the system. And the network interruption risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of copper cable signal testing, and particularly to a method for testing the high-speed signal transmission performance of copper cables and related equipment. Background Art

[0002] With the evolution of high-speed interconnect technology towards 224 Gbps and higher rates, the direct copper cable remains the core transmission medium for data centers and communication networks due to its cost advantage and compatibility. To meet the stringent requirements of high-frequency signal transmission, modern copper cables not only need to meet basic electrical standards (such as the spark test in the AC-1500V range under the rated voltage of 30V / rated temperature of 80°C, the DC withstand voltage strength of 500V / min, and the insulation impedance of 10 MΩ-Km at 20°C), but also achieve performance breakthroughs through precise structural design: the differential shielding layer thickness design stabilizes the common-mode impedance in the range of 27.5 ± 6.5 Ω, the conductor stranding process reduces the DC impedance to 4562 Ω / km, and combined with the internal pressurized encapsulation technology with dual pitch optimization, a time delay deviation of ≤ 6 ps / m is achieved under a millimeter-level wire diameter, and precise control of the full frequency band of 2.1 - 7.1 dB / m @ 2 - 20 GHz is achieved in the high-frequency attenuation index. However, the introduction of new materials and processes (such as low-dielectric composite materials and multi-layer shielding structures) makes the physical characteristics of copper cables exhibit highly non-linear coupling - when the impedance tolerance at 245 kHz reaches 85 ± 5 Ω, millimeter-level wire diameter differences will result in large fluctuations in the characteristic impedance due to the same humidity fluctuations.

[0003] In the prior art, the performance testing of copper cables mostly relies on empirical formulas or fixed coupling models, and cannot adapt to the structural changes of copper cables or dynamic disturbances of air pressure and humidity parameters (such as humidity penetration caused by air pressure leakage), resulting in the accumulation of test errors over the service time of copper cables and large differences in bit error rate prediction deviations; when the copper cable undergoes air pressure-humidity coupling degradation due to damage, traditional models are difficult to quickly distinguish the root cause of performance degradation (environmental anomalies or physical damage) through parameters such as attenuation and characteristic impedance monitored in real time, severely restricting the operation and maintenance response speed.

[0004] This problem is particularly prominent in high-speed scenarios: the 224 Gbps copper cable has an extremely low tolerance for characteristic impedance and signal integrity. Due to the lag in model iteration of the existing test system, it is unable to quickly provide a high-precision coupling model for new specification copper cables, forcing manufacturers to use conservative design redundant parameters and sacrificing bandwidth efficiency and cost competitiveness. Therefore, there is an urgent need for a testing method that can accurately and dynamically analyze the characteristics of copper cables and quickly generate a corrected coupling model 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] In the development of existing copper cables, the coupling model iteration lags, and it is impossible to quickly provide a high-precision coupling model for new specification copper cables, thus resolving the technical problem of analyzing 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 solutions:

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

[0010] S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, while injecting humid air in gradients, collect signal parameters under different air pressure and humidity combinations, and generate a coupling signal parameter matrix;

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

[0012] S3: Call the correlation logic from a preset correlation 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 a signal attenuation function, a characteristic impedance function, and a 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-applied air pressure value inside the copper cable; H0 is the reference humidity parameter taking 30% RH; 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; n is the dimensionless humidity non-linear index.

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

[0017] S31: Call the first correlation logic from a preset correlation logic library, and the correlation logic library stores multiple predefined correlation logics;

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

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

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

[0021] S35: Based on the second correlation function, perform a re-correlation calculation on the original signal parameter matrix to update the model coefficients;

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

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

[0024] The first correlation function is:

[0025]

[0026] The second correlation function is:

[0027]

[0028] Where Q L1 and R L2 are the first correlation logic identifier and the second correlation logic identifier respectively; corr is the Pearson correlation coefficient.

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

[0030] S351: Map the unstructured data to the structured data. The unstructured data is the time-domain reflection waveform, and the structured data is the air pressure and humidity values;

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

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

[0033]

[0034] Where j is the parameter category index. When its value is 1, 2, and 3, it corresponds to the signal attenuation amount, the characteristic impedance, and the bit error rate respectively; w j is the dynamic weight coefficient of the signal attenuation amount, the characteristic impedance, and the bit error rate; ΔM j is the relative deviation of the signal attenuation amount, the characteristic impedance, and the bit error rate of the j-th type of parameter.

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

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

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

[0038]

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

[0040]

[0041] In the formula, K i is 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; Δα i is the signal attenuation mutation rate, representing the difference in signal attenuation between the i-th and (i + 1)-th terminals; L is the distance from the damaged point to the nearest terminal; c is the signal propagation rate 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 test system, including:

[0043] A signal acquisition module, configured to collect the signal attenuation, characteristic impedance, bit error rate, air pressure value, and humidity value of the copper cable, and generate a coupled signal parameter matrix;

[0044] An associated logic library, storing 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 damaged area and the signal attenuation mutation rate;

[0045] A processing module, configured to receive a user instruction or automatically trigger a signal, and generate a correction instruction and an output instruction;

[0046] A dynamic logic switching module, configured to respond to the correction instruction of the central control module, call a target association logic from the associated logic library, and generate an association function;

[0047] A model optimization module, configured to update the model coefficients based on the combined analysis results of dynamic weight coefficients and unstructured data;​

[0048] A decision-making module, configured to determine whether to generate a damage assessment report according to the model optimization result and a preset threshold;

[0049] An output module, configured to output a corrected coupling model and a damage assessment report in response to an output instruction of the central control module.

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

[0051] An identification replacement unit, configured to replace the logic identifier in the association function with a target logic identifier;

[0052] A data mapping unit, configured to perform spatio-temporal alignment on the time-domain reflection waveform and the air pressure and humidity values;

[0053] A function generation unit, configured to generate a target function including dynamic weights.

[0054] The present invention provides a device including:

[0055] A memory, configured to store a computer program;

[0056] A processor, configured to implement the steps of the copper cable high-speed signal transmission performance test method when executing the computer program.

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

[0058] III. Beneficial effects

[0059] One or more of the above embodiments have the following advantages or beneficial effects:

[0060] Through the copper cable high-speed signal transmission performance test method according to the embodiments of the present invention, by acquiring and collecting signal parameters under different air pressure and humidity combinations in a laboratory, generating a coupling signal parameter matrix, and correcting the initial coupling model through data optimization, an adapted corrected coupling model can be quickly generated. Compared with the traditional method that relies on manual experience to fit the detection model, the present invention can shorten the model development cycle to several hours, significantly improve the test efficiency, accurately match the industry requirements of the rapid iteration of copper cables, reduce the redundant design cost, realize the automatic performance grading of a batch of copper cables through a preset threshold, and during the use of copper cables, match the coupling model through the change of signal parameters, early warning potential faults, quickly locate the fault situation, and reduce the risk of network interruption. Description of the drawings

[0061] Through the following description of the embodiments of the present invention with reference to the accompanying drawings, the above content and other objects, features and advantages of the present invention will become clearer. In the drawings:

[0062] Figure 1 is a step diagram of a method for testing the high-speed signal transmission performance of a copper cable in the present invention;

[0063] Figure 2 is a schematic structural diagram of a system for testing the high-speed signal transmission performance of a copper cable in the present invention; Detailed Embodiments

[0064] The present invention provides a method for testing the high-speed signal transmission performance of a copper cable, including the following steps:

[0065] S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, and simultaneously inject wet air in a gradient manner. Collect signal parameters under different combinations of air pressure and humidity, and generate a coupled signal parameter matrix;

[0066] S2: Based on the coupled signal parameter matrix, construct an initial coupling model, which is used to correlate air pressure, humidity with the signal transmission performance parameters of the copper cable;

[0067] S3: Call the association logic from a preset association 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 when the air pressure and humidity reach the steady-state equilibrium condition. Among them, the air pressure steady-state condition is that within 1 / 300 s, the change amount of air pressure is not higher than 0.2 Kpa; the humidity equilibrium condition is that within each minute, the humidity change rate is not higher than 0.1%, and the humidity change is not higher than 0.1% RH / min. The air pressure drop gradient is 50 Kpa for each difference, and the humidity gradient injection values are 50%, 65%, 80%, 95% RH.

[0069] Among them, the initial coupling model in step S2 is defined by a signal attenuation function, a characteristic impedance function, and a 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-applied air pressure value inside the copper cable; H0 is the reference humidity parameter taking 30% RH; 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 the characteristic impedance; k4 is the linear correction coefficient of humidity on the characteristic impedance; k7 is the comprehensive influence coefficient of the bit error rate; a is the dimensionless air pressure index; b is the dimensionless humidity index; n is the dimensionless humidity non-linear index.

[0072] The optimization and correction in step S3 include:

[0073] S31: Call the first correlation logic from a preset correlation logic library, where the correlation logic library stores multiple predefined correlation logics;

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

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

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

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

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

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

[0080] The first correlation function is:

[0081]

[0082] The second correlation function is:

[0083]

[0084] Where Q L1 , R L2 are the first correlation logic identifier and the second correlation logic identifier respectively; corr is the Pearson correlation coefficient.

[0085] The re - correlation calculation includes:

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

[0087] S352: Perform joint analysis on the unstructured data and the structured data based on the second correlation function to generate a dynamic weight coefficient w j ;

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

[0089]

[0090] Among them, j is the parameter category index. When its value is 1, 2, and 3, it corresponds to the signal attenuation, characteristic impedance, and bit error rate respectively; w j is the dynamic weight coefficient of the signal attenuation, characteristic impedance, and bit error rate; ΔM j is the relative deviation of the signal attenuation, characteristic impedance, and bit error rate of the j-th type of parameter.

[0091] The step S3 further includes a third association logic for locating the copper cable fault position:

[0092] S36: Obtain the signal parameter matrix set {K1, K2,..., K N} deployed with signal acquisition devices at N terminals of the copper cable, where the parameter matrix K i of the i-th terminal = [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 the predetermined threshold, mark the interval [i, i + 1] as the damaged candidate area. Among them, the calculation formula of the signal attenuation mutation rate is:

[0094]

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

[0096]

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

[0098] Such as Figure 2 ​, the present invention also provides a copper cable high-speed signal transmission performance test system, including a signal acquisition module configured to collect the signal attenuation, characteristic impedance, bit error rate, air pressure value and humidity value of the copper cable, and generate a coupled signal parameter matrix; an associated logic library storing a plurality of predefined associated logics, the association including a first associated logic representing the signal attenuation and air pressure, a second associated logic representing the characteristic impedance and humidity, and a third associated logic representing the damaged candidate area and the signal attenuation mutation rate; a processing module configured to receive a user instruction or an automatically triggered signal, generate a correction instruction and an output instruction; a dynamic logic switching module configured to respond to the correction instruction of the central control module, call a target associated logic from the associated logic library and generate an association function; a model optimization module configured to update the model coefficient based on the combined analysis result of the dynamic weight coefficient and unstructured data; a decision module configured to determine whether to generate a damage assessment report according to the model optimization result and a preset threshold; and an output module configured to respond to the output instruction of the central control module and output a corrected coupling model and a damage assessment report.

[0099] Among them, the dynamic logic switching module specifically includes: an identification replacement unit for replacing the logic identifier in the association function with a target logic identifier; a data mapping unit for performing spatio-temporal alignment of the time-domain reflection waveform with the air pressure and humidity values; and a function generation unit for generating a target function including dynamic weights.

[0100] The present invention also provides a device, including: a memory for storing a computer program; and a processor for implementing the steps of the copper cable high-speed signal transmission performance test method 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 test method, for example: controlling the internal air pressure of the copper cable to decrease according to a preset gradient, injecting humid air in a gradient manner at the same time, collecting signal parameters under different air pressure and humidity combinations, and generating a coupled signal parameter matrix; based on the coupled signal parameter matrix, constructing an initial coupling model, the model being used to associate air pressure, humidity with the signal transmission performance parameters of the copper cable; calling the associated logic from a preset associated logic library to optimize and correct the initial coupling model, and generating a callable corrected coupling model.

[0102] Alternatively, when the processor executes a computer program, it implements the functions of each module in the above system. Exemplarily, the computer program can be segmented into one or more modules / units, and one or more modules / units are stored in the memory and executed by the processor to complete the functions of one or more modules / units of the present invention. A module / unit can be a series of computer program instruction segments capable of completing a preset function, and the instruction segments are used to describe the execution process of the computer program in the copper cable high-speed signal transmission performance testing device. For example, a signal acquisition module is configured to acquire the signal attenuation, characteristic impedance, bit error rate, air pressure value, and humidity value of the copper cable, and generate a coupled signal parameter matrix; an association logic library stores a plurality of predefined association logics, and the associations include 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 a damaged candidate area and the mutation rate of signal attenuation; a processing module is configured to receive a user instruction or an automatic trigger signal, and generate a correction instruction and an output instruction; a dynamic logic switching module is configured to respond to the correction instruction of the central control module, call a target association logic from the association logic library, and generate an association function; a model optimization module is configured to update the model coefficients based on the combined analysis results of dynamic weight coefficients and unstructured data; a decision-making module is configured to determine whether to generate a damage assessment report according to the model optimization result and a preset threshold; an output module is configured to respond to the output instruction of the central control module and output a corrected coupling model and a damage assessment report. The dynamic logic switching module specifically includes: an identifier replacement unit for replacing the logic identifier in the association function with a target logic identifier; a data mapping unit for spatially and temporally aligning the time-domain reflection waveform with the air pressure and humidity values; and a function generation unit for generating a target function including dynamic weights.

[0103] The copper cable high-speed signal transmission performance testing device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The communication cable electrical performance testing device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above are examples of the copper cable high-speed signal transmission performance testing device, and do not constitute a limitation on the copper cable high-speed signal transmission performance testing device. It may include more components than the above, or combine some components, or different components. For example, the copper cable high-speed signal transmission performance testing device may further include input / output devices, network access devices, a bus, etc.

[0104] The so-called processor may be a Central Processing Unit (CPU), or may also be 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. The general-purpose processor may be a microprocessor or a processor, or any conventional processor, etc. The processor is the control center of the copper cable high-speed signal transmission performance test, and uses various interfaces and lines to connect all parts of the copper cable high-speed signal transmission performance test equipment.

[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 test 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 may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a 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, and the steps of a copper cable high-speed signal transmission performance test method are realized when the computer program is executed by a processor.

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

[0109] Based on such understanding, all or part of the processes in the above-mentioned copper cable high-speed signal transmission performance testing method of the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned copper cable high-speed signal transmission performance testing method can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or preset intermediate form, etc.

[0110] The computer-readable storage medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0111] In summary, a copper cable high-speed signal transmission performance testing method and system provided in this embodiment use data testing to implement an application system that combines project testing, data processing, and data analysis. Based on the physical characteristics of different specifications of copper cables (such as wire diameter, shielding layer structure, material dielectric constant), the coupling relationship between signal parameters and air pressure and humidity parameters inside various copper cables after internal pressurization presents a non-linear complex structure. The application of this method and system is simple. It can obtain and collect signal parameters under different combinations of air pressure and humidity in the laboratory, generate a coupling signal parameter matrix, and quickly generate an adapted corrected coupling model by optimizing and correcting the initial coupling model through data. Compared with the traditional method that relies on manual experience to fit model coefficients, the present invention can shorten the model development cycle to several hours, significantly improve the testing efficiency, accurately match the rapidly iterative industry requirements of copper cables, reduce redundant design costs, realize automatic performance grading of batch copper cables through preset thresholds, and during the use of copper cables, match the coupling model through signal parameter changes to early warn of potential faults and reduce the risk of network interruption.

[0112] The above-mentioned embodiments are only one of the implementation manners capable of realizing the technical solution of the present invention. The scope of protection required by the present invention is not only limited by this embodiment, but also includes any changes, substitutions and other implementation manners that are easily conceivable by those skilled in the art within the technical scope disclosed by the present invention.

Claims

1. A method for testing the high-speed signal transmission performance of copper cables, characterized in that, It includes the following steps: S1: Control the internal air pressure of the copper cable to decrease according to a preset gradient, while injecting humid air in a gradient manner, collect signal parameters under different combinations of air pressure and humidity, and generate a coupled signal parameter matrix; S2: Based on the coupled signal parameter matrix, construct an initial coupling model, which is used to correlate air pressure, humidity with the signal transmission performance parameters of the copper cable; S3: Call the correlation logic from a preset correlation logic library to optimize and correct the initial coupling model, and generate a callable corrected coupling model.

2. The method for testing the high-speed signal transmission performance of a copper cable according to claim 1, wherein The initial coupling model in step S2 is defined by a signal attenuation function, a characteristic impedance function, and a bit error rate function: 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-applied air pressure value inside the copper cable; H0 is the reference humidity parameter taking 30%RH; 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; n is the dimensionless humidity nonlinear index.

3. A method for testing the high-speed signal transmission performance of a copper cable according to claim 1, characterized in that, The optimization and correction in step S3 include: S31: Call the first correlation logic from a preset correlation logic library, and the correlation logic library stores multiple predefined correlation logics; S32: Generate a first correlation function based on the first correlation logic; S33: In response to a model correction instruction, determine a second correlation logic from the correlation logic library; S34: Replace the first correlation logic identifier in the first correlation function with the identifier of the second correlation logic to generate a second correlation function; S35: Based on the second correlation function, perform re-correlation 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 signal parameter change rate and the air pressure and humidity parameters.

4. A method for testing the high-speed signal transmission performance of a copper cable according to claim 3, characterized in that The first correlation function characterizes the correlation logic between the signal attenuation and the air pressure, and the second correlation function characterizes the correlation logic between the characteristic impedance and the humidity, where: The first correlation function is: The second correlation function is: Among them, Q L1 and R L2 are the first correlation logic identifier and the second correlation logic identifier respectively; corr is the Pearson correlation coefficient.

5. A method for testing the high-speed signal transmission performance of a copper cable according to claim 4, characterized in that, The re-correlation calculation includes: S351: Map the unstructured data to the structured data, where the unstructured data is the time-domain reflection waveform, and the structured data is the air pressure and humidity values; S352: Jointly analyze the unstructured data and structured data based on the second correlation function to generate a dynamic weight coefficient w j ; S353: Update the model coefficients through the following objective function: Among them, j is the parameter category index. When its value is 1, 2, and 3, it corresponds to the signal attenuation, characteristic impedance, and bit error rate respectively; w j is the dynamic weight coefficient of the signal attenuation, characteristic impedance, and bit error rate; ΔM j is the relative deviation of the signal attenuation, characteristic impedance, and bit error rate of the j-th type of parameter.

6. A method for testing the high-speed signal transmission performance of a copper cable according to claim 4, characterized in that Step S3 also includes a third correlation logic: S36: Obtain the signal parameter matrix set {K1, K2,..., K N} for the deployment of signal acquisition devices at N terminals of the copper cable, where the parameter matrix K i of the i-th terminal is = [α i , Z i , BER i T ;​ 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 damaged candidate area, where the calculation formula for the signal attenuation mutation rate is: S38: Use the time-domain reflection method to locate the damaged point in the candidate area, and the calculation formula is: where, K i is 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; Δα i is the signal attenuation mutation 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 rate in the copper cable; Δt is the time difference between the transmitted signal and the reflected signal.

7. A copper cable high-speed signal transmission performance testing system for implementing the steps of the copper cable high-speed signal transmission performance testing method according to any one of claims 1-6, characterized in that, It includes: A signal acquisition module, configured to collect the signal attenuation, characteristic impedance, bit error rate, air pressure value, and humidity value of the copper cable, and generate a coupled signal parameter matrix; An associated logic library stores multiple predefined association logics. The associations include a first association logic representing the signal attenuation amount and air pressure, a second association logic representing characteristic impedance and humidity, and a third association logic representing a damaged candidate area and the mutation rate of the signal attenuation amount; A processing module is configured to receive a user instruction or an automatic trigger signal, and generate a correction instruction and an output instruction; A dynamic logic switching module is configured to respond to the correction instruction of the central control module, call a target association logic from the associated logic library, and generate an association function; A model optimization module is configured to update model coefficients based on the combined analysis result of the dynamic weight coefficient and unstructured data; A decision-making module is configured to determine whether to generate a damage assessment report according to the model optimization result and a preset threshold; An output module is configured to respond to the output instruction of the central control module and output a corrected coupling model and a damage assessment report.

8. A copper cable high-speed signal transmission performance testing system according to claim 7, characterized in that, The dynamic logic switching module specifically includes: An identification replacement unit for replacing the logic identification in the association function with a target logic identification; A data mapping unit for performing spatio-temporal alignment of the time-domain reflection waveform with air pressure and humidity values; A function generation unit for generating a target function including a dynamic weight.

9. A device, characterized in that, It includes: A memory for storing a computer program; A processor for implementing the steps of the copper cable high-speed signal transmission performance test method according to any one of claims 1-6 when executing the computer program.

10. A device, characterized in that, It includes: A computer-readable storage medium stores a computer program, wherein the computer program is used to implement the steps of the copper cable high-speed signal transmission performance test method according to any one of claims 1-6 when executed by a processor.

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