A high-bandwidth smart network cable partitioning and compensation system resistant to electromagnetic interference

Abstract

The application discloses an anti-electromagnetic interference high-bandwidth intelligent network cable segmentation compensation system and belongs to the technical field of intelligent regulation and control of network communication cables. The system comprises a control module, a data acquisition module, an electromagnetic interference detection module, a network cable channel segmentation module, an intelligent compensation module and a data storage calibration module. The application can effectively suppress high and low frequency electromagnetic interference and isolate inter-line crosstalk, significantly improves the transmission stability of gigabit and terabit high-bandwidth networks, reduces signal distortion and transmission delay jitter, has the characteristics of strong anti-interference ability, high self-adaptive regulation and control precision, high bandwidth utilization rate and wide scene adaptability, and solves the industry technical pain point that traditional network cables cannot simultaneously consider high-bandwidth transmission and strong electromagnetic anti-interference performance.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for network communication cables, specifically to a high-bandwidth intelligent network cable segmentation compensation system that resists electromagnetic interference. Background Technology

[0002] With the widespread adoption of gigabit and 10-gigabit high-speed networks, network transmission places higher demands on the bandwidth capacity, transmission stability, and anti-interference performance of network cables. As the core carrier of network signal transmission, network cables are widely used in scenarios such as data center networking, industrial control, smart homes, and data centers. However, electromagnetic radiation generated by various electrical and wireless devices can easily interfere with the signals transmitted through network cables, leading to problems such as signal attenuation, waveform distortion, transmission jitter, packet loss, and delay, severely affecting the stable transmission of high-bandwidth data.

[0003] Existing network cable transmission systems suffer from several inherent technical defects: First, traditional network cables rely solely on a fixed single-layer shielding structure for passive interference resistance. This single shielding mode lacks specificity and is extremely ineffective at suppressing high-frequency radio frequency interference and transient pulse interference in complex scenarios, making them unsuitable for varying electromagnetic environments. Second, traditional network cables employ a unified, integrated transmission mode with multiple twisted pairs internally without partitioning or isolation. This leads to severe crosstalk coupling between channels during high-bandwidth, high-volume transmission, significantly reducing bandwidth utilization and failing to fully leverage the transmission performance of 10 Gigabit Ethernet cables. Third, existing signal compensation technologies are mostly static compensation with fixed parameters, unable to dynamically adapt parameters based on real-time interference intensity and signal attenuation. This results in issues such as compensation lag, insufficient compensation, or overcompensation, leading to low control precision. Fourth, existing technologies cannot achieve coordinated closed-loop control of interference detection, channel segmentation, and signal compensation, resulting in low intelligence and difficulty in meeting the high-stability, high-bandwidth transmission requirements of different networking scenarios.

[0004] In summary, existing network cable transmission equipment generally suffers from problems such as weak anti-electromagnetic interference capability, severe channel crosstalk, low bandwidth utilization, poor signal compensation adaptive performance, and insufficient high-bandwidth transmission stability. These issues make it difficult to meet the high-speed, high-precision, and high-reliability network transmission requirements of scenarios such as data centers and industrial control. There is an urgent need to develop a network cable segmentation compensation system with intelligent control capabilities, strong anti-interference, and high bandwidth utilization. Summary of the Invention

[0005] (a) Technical problems to be solved The purpose of this invention is to overcome the technical defects of existing network cable transmission systems, such as poor passive anti-interference effect, severe crosstalk due to lack of channel segmentation, low static compensation accuracy, poor high-bandwidth transmission stability, and waste of bandwidth resources. It provides a high-bandwidth intelligent network cable segmentation compensation system with anti-electromagnetic interference. Through a collaborative architecture of real-time electromagnetic interference detection, dynamic intelligent channel segmentation, and multi-dimensional adaptive signal compensation, it achieves intelligent transmission with high bandwidth, low latency, low distortion, and high stability in complex electromagnetic environments.

[0006] (II) Technical Solution To achieve the above objectives, the present invention adopts the following technical solution: a high-bandwidth intelligent network cable segmentation compensation system with electromagnetic interference resistance, comprising a control module, a data acquisition module, an electromagnetic interference detection module, a network cable channel segmentation module, an intelligent compensation module, and a data storage and calibration module; The control module is the core control unit of the system, which coordinates the operation logic, data interaction and command issuance of all auxiliary modules, realizes the coordinated linkage and closed-loop control of each functional module, adopts an embedded high-speed processor, has high-speed computing, real-time response and data processing capabilities, and can quickly complete core operations such as interference analysis, channel segmentation calculation and compensation parameter calibration. The data acquisition module is used to collect the original transmission signals, link signal attenuation parameters, real-time transmission bandwidth data, signal delay jitter data, and inter-channel crosstalk data of each transmission channel of the network cable in real time. It also synchronously uploads the collected high-precision real-time operating data to the control module. Through high-speed AD sampling, bandwidth monitoring, delay jitter detection, crosstalk detection and other units, it accurately obtains core data such as signal amplitude, phase, frequency, attenuation, bandwidth utilization, transmission delay, and crosstalk noise of each channel. It has high sampling accuracy and fast response speed, which can provide accurate data support for subsequent control. The electromagnetic interference detection module enables full-dimensional electromagnetic interference detection, accurately identifying low-frequency electromagnetic interference, high-frequency radio frequency interference, transient pulse interference, and line-to-line crosstalk interference. It locates the interference type, intensity, distribution area, and affected channels, and is used for real-time monitoring of low-frequency power frequency interference, high-frequency radio frequency interference, transient pulse interference, and adjacent line coupling crosstalk interference in the network cable operating environment. It accurately identifies the interference type, intensity, and spatial distribution area, generates standardized interference characteristic parameters, and uploads them to the control module to complete interference classification and judgment, providing interference characteristic basis for channel segmentation and signal compensation. The network cable channel segmentation module dynamically and finely segments the twisted-pair channels inside the network cable based on real-time interference status, signal quality, and bandwidth requirements, dividing them into independent high-speed transmission channels, backup compensation channels, and interference isolation channels. At the same time, it dynamically allocates bandwidth resources to maximize bandwidth utilization. The intelligent compensation module addresses issues such as signal attenuation, phase deviation, delay jitter, and noise interference during high-bandwidth transmission by achieving multi-dimensional dynamic compensation of amplitude, phase, delay, and noise. It adaptively adjusts compensation parameters based on the interference level and the degree of signal distortion, avoiding the limitations of fixed compensation and accurately correcting transmission signal distortion. The data storage and calibration module stores system standard parameters, interference thresholds, compensation coefficients, and historical operating data, providing real-time parameter calibration basis for system control. At the same time, it continuously improves the system's adaptive control accuracy by iteratively optimizing the algorithm model using historical data.

[0007] Furthermore, the data acquisition module includes a high-speed signal sampling unit, a bandwidth monitoring unit, a delay jitter acquisition unit, and a crosstalk detection unit. The high-speed signal sampling unit uses a 16-bit high-speed AD sampling chip with a sampling frequency of not less than 1GHz to accurately acquire the amplitude, phase, and frequency parameters of high-speed network transmission signals. The bandwidth monitoring unit provides real-time statistics on the real-time bandwidth occupancy, peak bandwidth, and remaining bandwidth of each channel. The delay jitter acquisition unit detects signal transmission delay and jitter deviation. The crosstalk detection unit detects the crosstalk attenuation value and crosstalk noise intensity of adjacent channels in the twisted pair.

[0008] Furthermore, the electromagnetic interference detection module includes a low-frequency electromagnetic sensing unit, a high-frequency radio frequency detection unit, a pulse interference identification unit, and an interference location analysis unit. The low-frequency electromagnetic sensing unit is used to detect power frequency electromagnetic interference and low-frequency radiated interference from equipment. The high-frequency radio frequency detection unit is used to detect wireless radio frequency and high-frequency equipment radiated interference. The pulse interference identification unit is used to identify instantaneous pulse electromagnetic interference. The interference location analysis unit, combined with a spatial distribution algorithm, accurately locates the network cable channel affected by the interference and the range of interference influence, and outputs graded interference intensity signals.

[0009] Furthermore, the network cable channel segmentation module includes a channel segmentation control unit, a channel status identification unit, and a bandwidth allocation unit; the channel status identification unit identifies the interference level, signal quality, and load status of each transmission channel in real time; the channel segmentation control unit dynamically adjusts the number of channel segments and the channel bandwidth ratio based on preset thresholds and real-time operating data; the bandwidth allocation unit dynamically allocates bandwidth resources to different channels according to service transmission requirements to ensure priority transmission of high-bandwidth services.

[0010] Furthermore, the intelligent compensation module includes an amplitude compensation unit, a phase calibration unit, a delay balancing unit, and a noise cancellation unit. The amplitude compensation unit dynamically adjusts the signal output amplitude according to the signal attenuation level to compensate for transmission link loss. The phase calibration unit corrects the phase deviation of multi-channel signal transmission to avoid distortion caused by the superposition of multiple signals. The delay balancing unit unifies the signal transmission delay of each channel to reduce transmission jitter. The noise cancellation unit generates an inverse cancellation signal based on interference characteristic parameters to cancel residual electromagnetic noise in the channel.

[0011] Furthermore, the intelligent control method of the system includes the following steps: S1. The system is powered on and initialized. The data storage calibration module loads the standard transmission parameters, interference classification threshold and compensation calibration coefficient to complete the parameter calibration of each module. S2. The data acquisition module collects the signal transmission parameters, bandwidth parameters, delay and crosstalk data of each network cable channel in real time and uploads them to the control module synchronously. S3, the electromagnetic interference detection module detects environmental electromagnetic interference parameters in real time, identifies the type, intensity and channel of interference, and generates interference analysis results; S4. The control module combines real-time transmission data and interference analysis results, and uses an intelligent segmentation algorithm to dynamically divide the network cable transmission channels, allocate bandwidth resources for each channel, and complete the physical isolation of the channels. S5. The control module calls the intelligent compensation module to perform graded and dimensional precise compensation for the signals of each channel based on the signal attenuation and interference residue of each channel. S6. The system monitors in real time with a closed loop, dynamically updates compensation parameters and channel segmentation strategies, and continuously calibrates transmission signals to ensure stable high-bandwidth transmission.

[0012] (III) Beneficial Effects Compared with the prior art, the present invention has the following significant advantages: 1. This invention abandons the traditional passive shielding anti-interference mode of network cables and constructs an integrated active anti-interference system of "real-time interference detection + intelligent channel segmentation + dynamic signal compensation + multi-layer shielding protection". It can adapt to various types of electromagnetic interference such as low frequency, high frequency, pulse, and crosstalk. It has a wide anti-interference range and good suppression effect, and completely solves the problems of signal distortion, attenuation and packet loss of network cables in complex electromagnetic environments.

[0013] 2. This invention uses intelligent channel segmentation technology to achieve dynamic and refined division and physical isolation of network cable transmission channels, completely eliminating the crosstalk problem between lines in traditional multi-channel parallel transmission. At the same time, it dynamically allocates bandwidth resources on demand, greatly improving bandwidth utilization in high-bandwidth transmission scenarios and fully releasing the transmission performance of gigabit and 10-gigabit network cables.

[0014] 3. This invention innovatively adopts a hierarchical and multi-dimensional collaborative dynamic signal compensation strategy, which can adaptively match compensation parameters according to the real-time interference level and signal distortion degree, accurately offsetting transmission link loss and electromagnetic noise interference, completely solving the defects of traditional static compensation mode such as lag, low accuracy and poor scene adaptability, effectively reducing transmission delay and data jitter, and significantly improving the stability and reliability of high bandwidth data transmission. Attached Figure Description

[0015] Figure 1 This is a block diagram of the overall system hardware architecture of the present invention; Figure 2 This is a block diagram of the internal units of the network cable channel segmentation module in this invention; Figure 3 This is a block diagram of the internal units of the intelligent compensation module in this invention; Figure 4 This is a flowchart of the overall intelligent control method of the system of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1: System Hardware Architecture Implementation like Figure 1-3 As shown, this embodiment provides a high-bandwidth intelligent network cable segmentation compensation system with electromagnetic interference resistance, including a control module, a data acquisition module, an electromagnetic interference detection module, a network cable channel segmentation module, an intelligent compensation module, an anti-interference shielding auxiliary module, and a data storage calibration module.

[0018] The control module uses the STM32H743 high-speed embedded processor with a main frequency of 400MHz. It has high-speed floating-point operation capabilities, which can quickly complete multi-dimensional data operations, algorithm iteration and instruction scheduling, ensuring real-time system response with a response latency of less than 1ms.

[0019] The data acquisition module is equipped with a 16-bit 1GHz high-speed AD sampling chip, along with bandwidth monitoring, delay jitter acquisition, and crosstalk detection units. It can acquire 8-channel network cable transmission signal parameters in real time with a sampling accuracy of ±0.01dB, accurately capturing minute changes in signal attenuation and distortion.

[0020] The electromagnetic interference detection module integrates a low-frequency electromagnetic sensor, a high-frequency radio frequency detection chip, and a pulse interference identification circuit. The detection frequency range covers 10Hz-6GHz, which can comprehensively cover various interference scenarios such as power frequency interference, wireless radio frequency interference, and equipment pulse interference. At the same time, it can achieve accurate interference location and classification, with an interference classification accuracy of 0.1 level.

[0021] The network cable channel segmentation module integrates a multi-dimensional evaluation model, provides real-time scoring, and dynamically divides high-speed main channels, backup compensation channels, and isolation channels. The bandwidth allocation accuracy reaches 1Mbps, and the channel ratio can be adaptively adjusted according to business needs.

[0022] The intelligent compensation module integrates amplitude adjustment circuit, phase calibration circuit, delay equalization circuit, noise cancellation circuit, and quantization matching compensation model. It can achieve dynamic compensation of signal amplitude from 0-20dB, precise calibration of phase from 0-360°, and delay equalization from 0-100ms. At the same time, it generates an inverse noise cancellation signal to accurately eliminate residual electromagnetic noise in the channel.

[0023] The data storage calibration module uses a high-speed EEPROM storage chip with a storage capacity of 256KB. It can store massive amounts of standard parameters, threshold data, and operation logs, providing real-time data support for system calibration and supporting algorithm iteration and optimization.

[0024] Example 2: Implementation of Intelligent System Control Method like Figure 4 As shown, the specific control steps during the operation of this invention are as follows: S1. System power-on initialization: The data storage calibration module loads standard network cable transmission parameters, electromagnetic interference mild / moderate / severe grading thresholds, and compensation calibration coefficients for each scenario, completing the initialization and calibration of hardware parameters for each module to ensure the device is in normal working condition.

[0025] S2. The system enters real-time monitoring mode. The data acquisition module continuously collects data such as signal amplitude, phase, attenuation, real-time bandwidth, transmission delay, and crosstalk noise of each network cable split channel. It completes full-channel data sampling every 0.5ms and uploads it synchronously to the control module.

[0026] S3, the electromagnetic interference detection module monitors the electromagnetic parameters of the operating environment in real time, identifies the type of interference, detects the intensity and distribution area of ​​interference, determines the interference level of each channel, generates an interference characteristic report and uploads it to the control module.

[0027] S4. The control module retrieves a preset multi-dimensional weighted quantitative evaluation algorithm, combines the interference level of each channel, signal quality score, and bandwidth load rate for weighted calculation, and dynamically completes intelligent channel segmentation through comprehensive channel scoring: First, the dimensions of the data in each dimension are unified using the extreme value normalization formula:

[0028] Then, the quality score of a single channel is calculated using the channel comprehensive scoring model:

[0029] The fixed weighting ratio is: ,and Channel classification is completed based on scoring thresholds: It is divided into high-speed main transmission channels and allocated more than 80% of the core bandwidth. It is designated as a backup compensation channel to share traffic redundancy. The system is divided into an interference isolation channel, which suspends service transmission and initiates physical isolation.

[0030] S5, the control module is based on channel-normalized interference intensity. The hierarchical adaptive quantization compensation model is invoked to achieve accurate signal repair through multi-dimensional compensation coefficient linkage calculation. First, a global comprehensive compensation coefficient is constructed:

[0031] The weighting ratio is: ,and Under interference-free conditions, the initial value of each compensation coefficient is 1.0; combined with the three-level interference threshold, each compensation coefficient is adaptively updated, and the final output is the repaired standard signal: .

[0032] S6. The system performs real-time closed-loop iterative calibration, continuously monitors the quality of transmitted signals and interference status, dynamically updates channel segmentation strategies and compensation parameters, and at the same time, the data storage calibration module records operating data, iteratively optimizes the algorithm model, and continuously improves the system's control accuracy and adaptability.

[0033] Example 3: Algorithm Simulation and Performance Comparison Verification To verify the feasibility, accuracy, and anti-interference gain effect of the multi-dimensional intelligent segmentation algorithm and hierarchical adaptive compensation model of this invention, a high-speed transmission simulation platform for 10 Gigabit Ethernet was built based on MATLAB / Simulink. This platform replicated the complex electromagnetic interference environment of an industrial site (superimposed low-frequency power frequency interference, high-frequency radio frequency interference, pulse interference, and crosstalk between lines). Comparative simulation tests were conducted on traditional fixed-shielded Ethernet cables, traditional static compensation Ethernet cables, and the system of this invention. The simulation baseline parameters, algorithm execution results, and overall performance gains are as follows: 1. Simulation baseline parameter configuration The network cable type is Cat6e 10 Gigabit twisted pair, with a rated bandwidth of 10Gbps; the environmental interference normalization interval is [0,1]; the channel segmentation algorithm uses fixed weights. The compensation algorithm uses fixed weights. The signal sampling period is 0.5ms, the simulation duration is 300s, and it covers three levels of interference switching conditions: slight, moderate and severe.

[0034] 2. Quantitative simulation results of the core algorithm (1) Accuracy verification of intelligent channel segmentation algorithm: Under dynamic load and variable interference intensity conditions, the channel classification accuracy of the multi-dimensional weighted scoring model of this invention reaches 99.2%, which can accurately distinguish high-speed main channel, backup compensation channel and interference isolation channel. Compared with the traditional fixed channel allocation method, the channel misjudgment isolation rate is reduced by 98.7%, and the bandwidth dynamic allocation matching degree is improved by 22.3%, which completely avoids the problem of bandwidth resource mismatch under high load and strong interference.

[0035] (2) Verification of hierarchical adaptive compensation algorithm: For three-level interference conditions, the algorithm compensation coefficient converges quickly, without overshoot or lag: under slight interference conditions, the noise suppression rate is ≥92%; under moderate interference conditions, the signal amplitude attenuation correction error is ≤0.3dB and the phase calibration deviation is ≤1.2°; under severe interference conditions, the signal distortion is reduced by 87.6% after full-dimensional compensation, and the delay jitter equalization error is controlled within 0.2ms, completely solving the defects of overcompensation, undercompensation and response lag of traditional static compensation.

[0036] 3. Overall transmission performance comparison test data The performance indicators of the three types of equipment are compared in the following table under the same 10 Gigabit bandwidth transmission and complex superimposed electromagnetic interference environment: ; 4. Verification of iterative optimization effects The data storage calibration module of this invention has self-learning and iterative capabilities. After running continuously for 72 hours, it iteratively optimizes the algorithm parameters through historical operating data, further improving the channel segmentation and matching accuracy by 1.5% and the compensation response speed by 0.3ms. It can adapt to complex and dynamically changing electromagnetic environments for a long time and has an adaptive evolution capability that traditional equipment does not have.

[0037] In summary, this invention, through a collaborative innovative architecture of dynamic channel segmentation, hierarchical quantization compensation, and multi-layer shielding protection, significantly reduces network transmission packet loss and jitter in strong electromagnetic interference scenarios, and significantly improves bandwidth utilization and signal fidelity, fully meeting the stringent requirements of high-reliability transmission scenarios such as 10 Gigabit high-speed networks, industrial control systems, and data centers.

[0038] Under the same 10 Gigabit bandwidth transmission and complex electromagnetic interference environment, the system of this invention and the traditional network cable transmission system were compared and tested: the traditional system had a packet loss rate of 0.8%-1.2%, transmission jitter ≥8ms, and bandwidth utilization of only 75%-80%; after adopting the system of this invention, the packet loss rate was reduced to below 0.01%, the transmission jitter was ≤1ms, and the bandwidth utilization was increased to over 95%. It can effectively resist various electromagnetic interferences, and the high bandwidth transmission stability and transmission efficiency are greatly improved, fully meeting the stringent requirements of high-speed network transmission.

[0039] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A high-bandwidth intelligent network cable segmentation compensation system with electromagnetic interference resistance, characterized in that, include: The control module is used to coordinate the collaborative work of various modules, complete real-time data interaction, core logic operation, working condition analysis and judgment, and issue closed-loop control commands. The data acquisition module is used to collect the original transmission signals, link signal attenuation parameters, real-time transmission bandwidth data, signal delay jitter data and inter-channel crosstalk data of each transmission channel of the network cable in real time, and synchronously upload the collected high-precision real-time operating condition data to the control module. The electromagnetic interference detection module is used to monitor low-frequency power frequency interference, high-frequency radio frequency interference, transient pulse interference and adjacent line coupling crosstalk interference in the network cable operating environment in real time, accurately identify the interference type, interference intensity and spatial distribution area, generate standardized interference characteristic parameters and upload them to the control module. The network cable channel segmentation module is used to dynamically and finely segment multiple twisted-pair transmission channels inside the network cable according to real-time service bandwidth requirements, environmental interference distribution characteristics, and signal transmission quality status of each channel. It can autonomously divide independent high-speed transmission channels, backup compensation channels, and interference isolation channels to achieve physical isolation and independent transmission of multiple types of channels. The intelligent compensation module is used to perform multi-dimensional dynamic compensation of the transmitted signals of the segmented channels, including amplitude compensation, phase calibration, delay equalization, and noise cancellation, based on the signal attenuation data, interference characteristic parameters, and real-time bandwidth occupancy status of each channel, thereby correcting the signal distortion parameters during high-bandwidth transmission. The data storage and calibration module is used to store standard transmission parameters of network cables, various electromagnetic interference classification thresholds, signal compensation calibration coefficients, and historical system operation data, providing a benchmark for real-time closed-loop control and parameter iterative calibration of the system. The control module is electrically connected to the data acquisition module, electromagnetic interference detection module, network cable channel segmentation module, intelligent compensation module, and data storage calibration module, respectively.

2. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that: The data acquisition module includes a high-speed signal sampling unit, a bandwidth monitoring unit, a delay jitter acquisition unit, and a crosstalk detection unit. The high-speed signal sampling unit uses a 16-bit high-speed AD sampling chip with a sampling frequency of not less than 1GHz to accurately acquire the amplitude, phase, and frequency parameters of high-speed network transmission signals. The bandwidth monitoring unit provides real-time statistics on the real-time bandwidth utilization, peak bandwidth, and remaining bandwidth of each channel. The delay jitter acquisition unit detects signal transmission delay and jitter deviation. The crosstalk detection unit detects the crosstalk attenuation value and crosstalk noise intensity of adjacent channels in the twisted pair.

3. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that: The electromagnetic interference detection module includes a low-frequency electromagnetic sensing unit, a high-frequency radio frequency detection unit, a pulse interference identification unit, and an interference location analysis unit. The low-frequency electromagnetic sensing unit is used to detect power frequency electromagnetic interference and low-frequency radiation interference from equipment. The high-frequency radio frequency detection unit is used to detect wireless radio frequency and high-frequency equipment radiation interference. The pulse interference identification unit is used to identify instantaneous pulse electromagnetic interference. The interference localization and analysis unit, combined with a spatial distribution algorithm, accurately locates the network cable channel affected by interference and the range of interference influence, and outputs graded interference intensity signals.

4. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that: The network cable channel segmentation module includes a channel segmentation control unit, a channel status identification unit, and a bandwidth allocation unit. The channel status identification unit identifies the interference level, signal quality, and load status of each transmission channel in real time. The channel segmentation control unit dynamically adjusts the number of channel segments and the channel bandwidth ratio based on preset thresholds and real-time operating data. The bandwidth allocation unit dynamically allocates bandwidth resources to different channels according to service transmission requirements to ensure priority transmission of high-bandwidth services.

5. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that: The intelligent compensation module includes an amplitude compensation unit, a phase calibration unit, a delay balancing unit, and a noise cancellation unit. The amplitude compensation unit dynamically adjusts the signal output amplitude according to the signal attenuation level to compensate for transmission link loss. The phase calibration unit corrects the phase deviation of multi-channel signal transmission to avoid distortion caused by the superposition of multiple signals. The delay balancing unit unifies the signal transmission delay of each channel to reduce transmission jitter. The noise cancellation unit generates an inverse cancellation signal based on interference characteristic parameters to cancel residual electromagnetic noise in the channel.

6. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that: The intelligent control method of the system includes the following steps: S1. The system is powered on and initialized. The data storage calibration module loads the standard transmission parameters, interference classification threshold and compensation calibration coefficient to complete the parameter calibration of each module. S2. The data acquisition module collects the signal transmission parameters, bandwidth parameters, delay and crosstalk data of each network cable channel in real time and uploads them to the control module synchronously. S3, the electromagnetic interference detection module detects environmental electromagnetic interference parameters in real time, identifies the type, intensity and channel of interference, and generates interference analysis results; S4. The control module combines real-time transmission data and interference analysis results, and uses an intelligent segmentation algorithm to dynamically divide the network cable transmission channels, allocate bandwidth resources for each channel, and complete the physical isolation of the channels. S5. The control module calls the intelligent compensation module to perform graded and dimensional precise compensation for the signals of each channel based on the signal attenuation and interference residue of each channel. S6. The system monitors in real time with a closed loop, dynamically updates compensation parameters and channel segmentation strategies, and continuously calibrates transmission signals to ensure stable high-bandwidth transmission.

7. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 6, characterized in that, The intelligent segmentation algorithm in step S4 is a multi-dimensional weighted quantization evaluation algorithm. The specific algorithm equation, normalization process, and channel determination rules are as follows: A single-channel comprehensive quality scoring model is established, and the calculation formula is as follows: ； In the formula: The comprehensive score for the i-th transmission channel takes values ​​in the range [0,1]. The normalized interference intensity of the channel is [0,1], where a larger value indicates stronger interference. The channel-normalized signal quality score is defined as [0,1], where a larger value indicates a better signal. This represents the channel normalized bandwidth load rate, [0,1], where a larger value indicates a higher load. Fixed weight coefficients are assigned to the corresponding dimensions, corresponding to interference weight, signal quality weight, and load weight, respectively, satisfying the following conditions: The system preferentially uses a fixed weighting ratio. Prioritize suppressing electromagnetic interference and ensuring the quality of high-bandwidth signal transmission; The parameters of each dimension are processed using extreme value normalization equations to unify the dimensions: ； In the formula: These are the raw interference intensity, signal quality, and bandwidth load data collected in real time. These are the upper and lower limit benchmark values ​​for each dimension preset by the system; Based on comprehensive score Execute the adaptive segmentation decision strategy for the channel: 1) High-scoring channel: It is determined to be a high-speed main transmission channel and will be given priority allocation of more than 80% of bandwidth resources; 2) Medium scoring channel: It is designated as a backup compensation channel to handle redundant signal compensation and traffic sharing. 3) Low-scoring channel: If the signal is determined to be interfering with the isolation channel, service transmission will be suspended and physical isolation and noise reduction will be initiated. The algorithm dynamically traverses all network cable channels, updates the score and channel attributes frame by frame, and adjusts the channel quantity ratio and bandwidth allocation weight in real time. Channels with higher interference intensity have lower scores and are prioritized for isolation; channels with excellent signal quality and stable load have higher scores and are prioritized for carrying core high-bandwidth services.

8. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 7, characterized in that, The hierarchical adaptive compensation strategy in step S5 adopts a quantized matching compensation model based on normalized interference intensity. A dynamic compensation coefficient equation system is constructed to achieve precise matching between interference level and compensation intensity. The specific quantization algorithm, hierarchical threshold, and compensation rules are as follows: First, define the global dynamic comprehensive compensation coefficient. The calculation formula is: ； In the formula: For the dynamic compensation coefficient of amplitude, For phase dynamic calibration coefficient, For the delay dynamic equalization coefficient, This is the noise dynamic cancellation coefficient; For each compensation dimension, a fixed weight coefficient is assigned, corresponding to the weights of the amplitude, phase, delay, and noise dimensions, respectively, satisfying the following conditions: The system preferentially uses a fixed weighting ratio. Under interference-free baseline conditions, the default initial value of each compensation coefficient is 1.0 to ensure signal transmission without distortion or loss. Based on normalized interference intensity Divide the interference threshold into three levels and adaptively update the corresponding compensation coefficients: 1) Slight Interference Level: Enable noise cancellation compensation only, set The remaining compensation coefficients remain at the baseline value of 1.0, eliminating only weak residual electromagnetic noise and avoiding signal distortion introduced by overcompensation; 2) Moderate interference level: Enable noise cancellation + amplitude + phase joint compensation, and set... , , The latency factor remains at a baseline value of 1.0, accurately correcting link attenuation and phase shift issues; 3) Severe interference level: Activate full-dimensional dynamic compensation and set... , , , At the same time, it automatically activates the backup compensation channel to share the transmission load; The final quantization model of the compensated output signal is: ； In the formula: The original distorted transmission signal of the channel, To compensate for the standard transmission signal, This is the phase calibration correction amount, derived from the phase calibration coefficient. Real-time linkage generation; This model achieves precise repair of signal amplitude, phase, delay, and noise in all dimensions through frame-by-frame closed-loop iterative calculation, ensuring dynamic and precise matching between interference intensity and compensation strength.

9. The high-bandwidth intelligent network cable segmentation compensation system for electromagnetic interference resistance according to claim 1, characterized in that, The data storage and calibration module records the system's full-condition operation data in real time, periodically updates the compensation and calibration coefficients, and continuously optimizes the channel segmentation algorithm and dynamic compensation strategy through historical big data, thereby continuously improving the system's adaptive control accuracy and adaptability to complex scenarios.

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