High-temperature cable material performance degradation simulation method and system based on digital twin

Abstract

The present invention relates to the field of digital twin technology, specifically to a method and system for simulating the performance degradation of high-temperature cable materials based on digital twins; obtaining digital twin parameters of communication cables to construct a digital twin model; monitoring environmental data of the area through which the communication cables pass to obtain external environmental parameters; monitoring internal operating parameters based on signal transmission data of the communication cables; simulating the external environmental parameters and internal operating parameters of the communication cables based on the digital twin model to obtain temperature distribution data of the communication cables; calculating the temperature distribution data based on a material aging dynamic model to obtain cable degradation parameters; identifying and judging the cable degradation parameters based on an optimization algorithm to obtain abnormal degradation areas of the communication cables. The present invention accurately identifies abnormal degradation areas through digital twin simulation of communication cables.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and specifically to a method and system for simulating the performance degradation of high-temperature cable materials based on digital twins. Background Art

[0002] In their applications, high-temperature cables must cope with the coupled effects of multiple physical fields, including high temperature, high humidity, and strong radiation. Furthermore, the electrothermal effects of their own operation accelerate the evolution of material properties. This complex performance evolution process poses significant challenges to the initial design and lifespan prediction of cables.

[0003] Therefore, the simulation and prediction of the performance of high-temperature cable materials under complex working conditions is of core value in guiding the optimal design of cables, formulating maintenance strategies and ensuring system operation.

[0004] In existing technologies, the evaluation of cable performance evolution primarily relies on traditional computer simulation analysis. This approach typically establishes a static physical model during the design phase and performs open-loop calculations based on idealized initial parameters. However, the accuracy of these simulation methods is highly dependent on the accuracy of the initial model and parameters. Because the simulation data generated by the cable in a virtual service environment cannot be effectively closed-loop fed back and model corrected during the calculation process, the simulation results can deviate significantly from the actual material evolution over time.

[0005] To this end, a high-temperature cable material performance degradation simulation method and system based on digital twins are proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and system for simulating the performance degradation of high-temperature cable materials based on digital twins, and to accurately provide abnormal warnings by identifying and calibrating abnormal degradation areas of communication cables.

[0007] To achieve the above objectives, the present invention provides a method for simulating the performance degradation of high-temperature cable materials based on digital twins, comprising:

[0008] A digital twin model is constructed to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; a digital twin model of the communication cable is constructed based on the digital twin parameters;

[0009] Multi-source data acquisition: monitoring the environmental data of the area where the communication cables pass through to obtain external environmental parameters; monitoring the signal transmission data based on the communication cables to obtain internal operating parameters;

[0010] Cable degradation simulation: Based on the digital twin model, the external environmental parameters and internal operating parameters of the communication cable are simulated to obtain the temperature distribution data of the communication cable. The temperature distribution data is identified based on the preset material aging dynamic model to obtain the cable degradation parameters.

[0011] To quantify the health status, transmission quality monitoring points are set on the communication cables to monitor the signal transmission indicators. The cable degradation parameters are calibrated based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cables and issue early warnings.

[0012] The digital twin parameters include geometric structure parameters and material characteristic parameters of the communication cable;

[0013] The geometric structure parameters include cable structure, cable length, cable radius, insulation layer thickness, shielding layer structure thickness, and sheath thickness;

[0014] The material characteristic parameters include electrical characteristic parameters, thermal characteristic parameters and mechanical characteristic parameters;

[0015] The electrical characteristic parameters include the electrical conductivity of the conductor material, the relative dielectric constant of the insulation layer, and the dielectric loss tangent;

[0016] The thermal characteristic parameters include thermal conductivity, specific heat capacity, and surface emissivity of the cable material;

[0017] The mechanical characteristic parameters include Young's modulus, Poisson's ratio, and thermal expansion coefficient of the cable material.

[0018] The external environmental parameters are periodically detected by environmental sensors deployed along the communication cable path, including ambient temperature, ambient humidity, and sunlight intensity;

[0019] The signal transmission data includes signal input data and signal output data of the communication cable;

[0020] The internal operating parameters are obtained by periodically identifying the signal transmission data in the communication cable, including the current parameters, voltage parameters, signal transmission type, and signal transmission frequency inside the communication cable.

[0021] In the process of the digital twin model identifying external environmental parameters and internal operating parameters, the electrical and thermal conduction paths and the heat exchange conduction paths are constructed;

[0022] The electrical heat conduction path is calculated based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the Joule heat is calculated based on the current parameters and the cable digital twin parameters; the dielectric loss heat is obtained based on the voltage parameters, signal transmission type, signal transmission frequency and cable digital twin parameter identification;

[0023] The heat exchange conduction path is constructed according to the finite element analysis method; based on the digital twin parameters, it is identified in combination with the external environmental parameters and the internal heat of the cable to obtain the temperature distribution data of the cable.

[0024] The material aging dynamics model is constructed based on a multi-factor life model;

[0025] Based on the temperature distribution data of communication cables, the material aging degree is identified and the cable degradation parameters are obtained;

[0026] The cable degradation parameters include the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the electrical conductivity of the conductor material.

[0027] Inputting the signal transmission indicators obtained from the transmission quality monitoring points and the locations of the transmission quality monitoring points into the digital twin model; the signal transmission indicators include signal attenuation, bit error rate, and bandwidth change;

[0028] Based on the fluctuation of cable degradation parameters, the communication cable is divided into regions to obtain cable degradation regions;

[0029] The digital twin model is used to simulate the path transmission of signals in different cable degradation areas of communication cables to obtain theoretical transmission indicators of transmission quality monitoring points. The data dimensions of the theoretical transmission indicators are consistent with the signal transmission indicators.

[0030] Based on the data deviation between the theoretical transmission index and the signal transmission index, an optimization algorithm is started to reversely adjust the internal parameters of the material aging dynamic model to calibrate the cable degradation parameters;

[0031] Determine the abnormal degradation area based on the calibrated cable degradation parameters.

[0032] The high-temperature cable material performance degradation simulation system based on digital twins includes:

[0033] A digital twin model construction module is used to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; and a digital twin model of the communication cable is constructed based on the digital twin parameters.

[0034] The multi-source data acquisition module monitors the environmental data of the area where the communication cables pass through to obtain external environmental parameters; it also monitors the signal transmission data of the communication cables to obtain internal operating parameters;

[0035] The cable degradation simulation module simulates the external environmental parameters and internal operating parameters of the communication cable based on the digital twin model to obtain the temperature distribution data of the communication cable. It also identifies the temperature distribution data based on the preset material aging dynamic model to obtain the cable degradation parameters.

[0036] The health status quantification module sets up transmission quality monitoring points on the communication cable to monitor and obtain signal transmission indicators. It calibrates the cable degradation parameters based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cable and issue early warnings.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. The present invention constructs an electric heat conduction path and a heat exchange conduction path to identify the temperature distribution of communication cables. The electric heat conduction path is measured based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable. The digital twin parameters of the heat exchange conduction path are combined with external environmental parameters and the internal heat of the cable to identify the temperature distribution data of the cable, providing a data basis for degradation simulation of communication cables.

[0039] 2. The present invention integrates electrothermal coupling and heat exchange simulation, and combines it with a multi-factor material aging dynamic model to achieve accurate prediction of the temperature distribution inside the cable and quantitative assessment of the material performance degradation state. It can effectively track the aging process of the cable, provide core data support for subsequent health status assessment and early warning, and effectively improve the scientific nature and reliability of the prediction.

[0040] 3. The present invention achieves accurate quantification of the health status of communication cables through data monitoring, simulation calibration and optimization. The calibrated degradation parameters can more accurately reflect the actual aging status of the cables, thereby accurately identifying abnormal degradation areas and issuing early warnings, effectively avoiding communication interruptions or performance degradation caused by cable aging, and significantly improving the reliability and safety of cable operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of the process of simulating the performance degradation of high-temperature cable materials based on digital twins of the present invention;

[0042] Figure 2 A schematic diagram of the identification logic of the degradation abnormal area of ​​the present invention;

[0043] Figure 3 This is a structural schematic diagram of the digital twin-based high-temperature cable material performance degradation simulation system of the present invention. DETAILED DESCRIPTION

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0045] Example 1:

[0046] This paper proposes a method for simulating the performance degradation of high-temperature cable materials based on digital twins. The process is as follows: Figure 1 Shown, including:

[0047] A digital twin model is constructed to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; a digital twin model of the communication cable is constructed based on the digital twin parameters;

[0048] Multi-source data acquisition: monitoring the environmental data of the area where the communication cables pass through to obtain external environmental parameters; monitoring the signal transmission data based on the communication cables to obtain internal operating parameters;

[0049] Cable degradation simulation: Based on the digital twin model, the external environmental parameters and internal operating parameters of the communication cable are simulated to obtain the temperature distribution data of the communication cable. The temperature distribution data is identified based on the preset material aging dynamic model to obtain the cable degradation parameters.

[0050] To quantify the health status, set up transmission quality monitoring points on the communication cable to monitor the signal transmission index; calibrate the cable degradation parameters based on the signal transmission index and the location of the transmission quality monitoring points to obtain the abnormal degradation area of ​​the communication cable and issue an early warning. The logic for obtaining the abnormal degradation area is as follows: Figure 2 shown.

[0051] Preferably, the digital twin parameters include geometric structure parameters and material characteristic parameters of the communication cable;

[0052] The geometric structure parameters include cable structure, cable length, cable radius, insulation layer thickness, shielding layer structure thickness, and sheath thickness;

[0053] The material characteristic parameters include electrical characteristic parameters, thermal characteristic parameters and mechanical characteristic parameters;

[0054] The electrical characteristic parameters include the electrical conductivity of the conductor material, the relative dielectric constant of the insulation layer, and the dielectric loss tangent;

[0055] The thermal characteristic parameters include thermal conductivity, specific heat capacity, and surface emissivity of the cable material;

[0056] The mechanical characteristic parameters include Young's modulus, Poisson's ratio, and thermal expansion coefficient of the cable material.

[0057] Among them, the digital twin parameters of communication cables are obtained based on cable design drawings, laser scanning, technical manuals provided by material suppliers, and experimental tests.

[0058] The aforementioned geometric and material properties are input into 3D modeling software and a finite element simulation platform. Within the simulation platform, a 3D geometric model of the cable is created, along with the material properties of each component, boundary conditions, and meshing settings. This creates a digital twin model that precisely corresponds to the physical cable.

[0059] By constructing a high-precision digital twin model, this invention provides an accurate physical basis and parameter support for subsequent cable degradation simulation, enabling the virtual model to truly reflect the characteristics of the physical cable, significantly improving the accuracy and reliability of the simulation, and laying the foundation for cable health management.

[0060] Preferably, the external environmental parameters are obtained by periodically detecting environmental sensors deployed on the communication cable path, including ambient temperature, ambient humidity, and sunlight intensity;

[0061] The signal transmission data includes signal input data and signal output data of the communication cable;

[0062] The internal operating parameters are obtained by periodically identifying the signal transmission data in the communication cable, including the current parameters, voltage parameters, signal transmission type, and signal transmission frequency inside the communication cable.

[0063] The internal operating parameters are periodically acquired through embedded sensors or data acquisition interfaces of existing communication equipment; the current parameters include the current value flowing inside the cable; the voltage parameters include the real-time voltage values ​​at both ends of the cable; and the signal transmission types include data signals, voice signals, and video signals.

[0064] This invention collects environmental and internal operating data from multiple sources, providing comprehensive input for the digital twin model that is synchronized with the physical entity, ensuring the authenticity and accuracy of the simulation. This enables a more detailed understanding of the actual operating status of the cable and provides a data foundation for accurately predicting cable degradation.

[0065] Preferably, in the process of the digital twin model identifying the external environmental parameters and the internal operating parameters, the electric heat conduction path and the heat exchange conduction path are constructed;

[0066] The electrical heat conduction path is calculated based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the Joule heat is calculated based on the current parameters and the cable digital twin parameters; the dielectric loss heat is obtained based on the voltage parameters, signal transmission type, signal transmission frequency and cable digital twin parameter identification;

[0067] The heat exchange conduction path is constructed according to the finite element analysis method; based on the digital twin parameters, it is identified in combination with the external environmental parameters and the internal heat of the cable to obtain the temperature distribution data of the cable.

[0068] Preferably, Joule heat calculation is based on the current parameters and cable digital twin parameters, such as conductor resistivity, among the internal operating parameters, using Ohm's law and Joule's law to calculate the Joule heat generated by the cable conductor. Dielectric loss heat is calculated based on the voltage parameters, signal transmission type, signal transmission frequency, and cable digital twin parameters, such as the dielectric loss tangent of the insulation material, among the internal operating parameters.

[0069] The finite element analysis method is used to construct the heat exchange conduction path, and the external environmental parameters and the internal heat of the cable are combined for identification to obtain the temperature distribution data of the cable, thereby accurately calculating the real-time temperature distribution data of the cable along the length and radial direction.

[0070] Specifically, the digital twin model is discretized to obtain a large number of tiny, finite units, such as tetrahedrons or hexahedrons, to form a grid. External environmental parameters and internal cable heat are used as boundary conditions for the cable model. Combined with material surface emissivity and other characteristics, the heat transfer solver of the finite element software is activated to calculate the established model containing heat sources and boundary conditions. The solver calculates the temperature based on the nodes of the grid units. The density and quality of the grid directly affect the calculation accuracy and time. Both the electrical heat conduction path and the heat exchange conduction path are tested and verified based on the corresponding experimental data.

[0071] Furthermore, based on the digital twin model of the communication cable, combined with external environmental parameters and internal cable heat, simulations are performed using specialized heat transfer calculation modules, such as the CFD module in ANSYS Fluent. This model considers convection and radiation heat transfer between the cable surface and the surrounding environment, as well as heat conduction between different material layers within the cable. This allows for rapid identification of cable temperature.

[0072] The present invention constructs an electric heat conduction path and a heat exchange conduction path to identify the temperature distribution of communication cables; wherein, the electric heat conduction path is measured based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the digital twin parameters of the heat exchange conduction path are combined with external environmental parameters and the internal heat of the cable for identification to obtain the temperature distribution data of the cable, providing a data basis for degradation simulation of communication cables.

[0073] Preferably, the material aging dynamics model is constructed based on a multi-factor life model;

[0074] Based on the temperature distribution data of communication cables, the material aging degree is identified and the cable degradation parameters are obtained;

[0075] The cable degradation parameters include the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the electrical conductivity of the conductor material.

[0076] A multi-factor lifespan model based on the Arrhenius principle and the Eyring principle is preset, which comprehensively considers the temperature acceleration effect; further, it can be optimized in combination with humidity, electric field strength and current density.

[0077] Using the cable's temperature distribution data as the core, combined with ambient humidity, electric field strength calculated from voltage and geometry, and current density calculated from current and conductor cross-sectional area, the aforementioned material aging dynamic model is used to calculate the degree of material aging in each cable component. Based on the aging degree, cable degradation parameters are derived, including but not limited to the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the conductor surface conductivity.

[0078] Taking the Arrhenius principle model as an example, this model focuses on the influence of temperature on material aging. On the basis of this model, the error of the Arrhenius principle model is fitted based on humidity, electric field strength and current density, thereby obtaining a multi-factor life model that comprehensively considers temperature, humidity, electric field strength and current density. That is, humidity, electric field strength and current density are taken into consideration as error terms to reduce the error of the Arrhenius principle model.

[0079] The Eyring principle, derived from transition state theory, offers deeper physical insights than the Arrhenius principle. It not only describes the relationship between reaction rate and temperature but also incorporates the effects of other stresses, such as mechanical stress, electric fields, and humidity, on reaction rate. Its fundamental concept is that any stress that helps reactants cross the activation energy barrier will accelerate a reaction.

[0080] Preferably, after obtaining the temperature field distribution within the cable, this is used as input, combined with mechanical parameters such as the thermal expansion coefficient, elastic modulus, and Poisson's ratio of each layer of the cable material. The built-in thermal-mechanical coupling module in the digital twin model is then used to further calculate and predict the stress distribution within each region of the cable. These stresses include thermal stress, tensile stress, compressive stress, and shear stress. Accurate aging analysis is achieved based on this stress distribution combined with a material aging dynamics model.

[0081] Combining aging analysis with cable stress can more accurately identify material aging.

[0082] The present invention integrates electrothermal coupling and heat exchange simulation, and combines it with a multi-factor material aging dynamic model to achieve accurate prediction of the internal temperature distribution of the cable and quantitative assessment of the material performance degradation state. It can effectively track the aging process of the cable, provide core data support for subsequent health status assessment and early warning, and effectively improve the scientific nature and reliability of the prediction.

[0083] Preferably, the signal transmission indicators obtained by the transmission quality monitoring point and the location of the transmission quality monitoring point are input into the digital twin model; the signal transmission indicators include signal attenuation, bit error rate, and bandwidth change;

[0084] Based on the fluctuation of cable degradation parameters, the communication cable is divided into regions to obtain cable degradation regions;

[0085] The digital twin model is used to simulate the path transmission of signals in different cable degradation areas of communication cables to obtain theoretical transmission indicators of transmission quality monitoring points. The data dimensions of the theoretical transmission indicators are consistent with the signal transmission indicators.

[0086] Based on the data deviation between the theoretical transmission index and the signal transmission index, an optimization algorithm is started to reversely adjust the internal parameters of the material aging dynamic model to calibrate the cable degradation parameters;

[0087] Determine the abnormal degradation area based on the calibrated cable degradation parameters.

[0088] Transmission quality monitoring point setup and signal transmission index acquisition: Transmission quality monitoring points are set up at typical locations along the communication cable (for example, every 100 meters). These monitoring points are typically integrated into the communication equipment or accessed through external sensors. The monitoring system acquires the following measured signal transmission indicators in real time:

[0089] After acquiring signal transmission metrics, a spatiotemporal knowledge graph can be constructed to correlate multidimensional data. Specifically, nodes are identified using physical entities and events, such as transmission quality monitoring points, and events such as high temperatures, heavy rain, and sudden increases in signal load. Edges are constructed based on spatial, causal, and temporal relationships, with causal relationships such as "increased sunlight intensity leads to increased surface temperature." When an anomaly at a monitoring point occurs, the system no longer simply correlates it with a single environmental parameter; instead, it can perform reasoning on the graph, enabling more accurate fault diagnosis.

[0090] At the same time, if a sensor fails, a graph neural network (GNN) can be used to more accurately infer the missing data through the status and historical relationships of its neighboring nodes (physically adjacent cable segments and sensors).

[0091] The cable degradation parameters are identified based on the clustering algorithm, which can automatically classify similar data and realize the adaptive division and identification of abnormal degradation areas.

[0092] The measured signal transmission metrics and the locations of transmission quality monitoring points are input into the digital twin model. Based on the simulated material property changes in the cable degradation regions, the digital twin model simulates the signal transmission path and characteristics in these different degradation regions. For example, it simulates signal attenuation in areas with increased dielectric constant and dielectric loss, thereby simulating the theoretical transmission metrics at the transmission quality monitoring points. The data dimensions of these theoretical transmission metrics are consistent with the measured signal transmission metrics.

[0093] Data deviation specifically refers to the deviation between the theoretical transmission index and the measured signal transmission index, which can be identified using mean square error or relative error.

[0094] When the data deviation exceeds a preset threshold, an optimization algorithm is activated. Through backpropagation or iterative adjustment, the internal parameters of the material aging dynamics model are modified to minimize the deviation between the theoretical transmission index and the measured signal transmission index. Optimization algorithms include particle optimization, least squares method, or Kalman filtering.

[0095] The internal parameters in the modified material aging dynamics model include error terms based on humidity, electric field strength and current density, as well as coefficients, weights and other parameters in the Arrhenius principle model.

[0096] The optimized material aging dynamic model is then used to calibrate and correct the simulated cable degradation parameters to make them more consistent with the actual aging status of the cable.

[0097] Degradation Abnormal Area Identification and Early Warning: Based on calibrated cable degradation parameters, the system identifies abnormal degradation areas. When the abnormal degradation area reaches the preset warning threshold, the system automatically triggers an early warning signal and notifies maintenance personnel via the SCADA system, SMS, email, and other means, allowing them to take timely maintenance measures to prevent cable failures.

[0098] The present invention achieves accurate quantification of the health status of communication cables through data monitoring, simulation calibration and optimization; the calibrated degradation parameters can more accurately reflect the actual aging status of the cables, thereby accurately identifying abnormal degradation areas and issuing early warnings in a timely manner, effectively avoiding communication interruptions or performance degradation caused by cable aging, and significantly improving the reliability and safety of cable operation.

[0099] The present invention also proposes a high-temperature cable material performance degradation simulation system based on digital twins, the structure of which is as follows: Figure 3 Shown, including:

[0100] A digital twin model construction module is used to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; and a digital twin model of the communication cable is constructed based on the digital twin parameters.

[0101] The multi-source data acquisition module monitors the environmental data of the area where the communication cables pass through to obtain external environmental parameters; it also monitors the signal transmission data of the communication cables to obtain internal operating parameters;

[0102] The cable degradation simulation module simulates the external environmental parameters and internal operating parameters of the communication cable based on the digital twin model to obtain the temperature distribution data of the communication cable. It also identifies the temperature distribution data based on the preset material aging dynamic model to obtain the cable degradation parameters.

[0103] The health status quantification module sets up transmission quality monitoring points on the communication cable to monitor and obtain signal transmission indicators. It calibrates the cable degradation parameters based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cable and issue early warnings.

[0104] The present invention obtains digital twin parameters of communication cables and constructs a digital twin model; monitors environmental data of the area through which the communication cables pass to obtain external environmental parameters; monitors signal transmission data of the communication cables to obtain internal operating parameters; simulates the external environmental parameters and internal operating parameters of the communication cables based on the digital twin model to obtain temperature distribution data of the communication cables; calculates the temperature distribution data based on a material aging dynamic model to obtain cable degradation parameters; identifies and judges the cable degradation parameters based on an optimization algorithm to accurately obtain abnormal degradation areas of the communication cables.

[0105] Example 2:

[0106] The present invention proposes a method for simulating the performance degradation of high-temperature cable materials based on digital twins, including:

[0107] A digital twin model is constructed to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; a digital twin model of the communication cable is constructed based on the digital twin parameters;

[0108] Multi-source data acquisition: monitoring the environmental data of the area where the communication cables pass through to obtain external environmental parameters; monitoring the signal transmission data based on the communication cables to obtain internal operating parameters;

[0109] Cable degradation simulation: Based on the digital twin model, the external environmental parameters and internal operating parameters of the communication cable are simulated to obtain the temperature distribution data of the communication cable. The temperature distribution data is identified based on the preset material aging dynamic model to obtain the cable degradation parameters.

[0110] To quantify the health status, transmission quality monitoring points are set on the communication cables to monitor the signal transmission indicators. The cable degradation parameters are calibrated based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cables and issue early warnings.

[0111] Preferably, the digital twin parameters include geometric structure parameters and material characteristic parameters of the communication cable;

[0112] The geometric structure parameters include cable structure, cable length, cable radius, insulation layer thickness, shielding layer structure thickness, and sheath thickness; the material characteristic parameters include electrical characteristic parameters, thermal characteristic parameters, and mechanical characteristic parameters;

[0113] The electrical characteristic parameters include the electrical conductivity of the conductor material, the relative dielectric constant of the insulation layer, and the dielectric loss tangent;

[0114] The thermal characteristic parameters include thermal conductivity, specific heat capacity, and surface emissivity of the cable material;

[0115] The mechanical characteristic parameters include Young's modulus, Poisson's ratio, and thermal expansion coefficient of the cable material.

[0116] By constructing a high-precision digital twin model, this invention provides an accurate physical basis and parameter support for subsequent cable degradation simulation, enabling the virtual model to truly reflect the characteristics of the physical cable, significantly improving the accuracy and reliability of the simulation, and laying the foundation for cable health management.

[0117] Preferably, the external environmental parameters are obtained by periodically detecting environmental sensors deployed on the communication cable path, including ambient temperature, ambient humidity, and sunlight intensity;

[0118] The signal transmission data includes signal input data and signal output data of the communication cable;

[0119] The internal operating parameters are obtained by periodically identifying the signal transmission data in the communication cable, including the current parameters, voltage parameters, signal transmission type, and signal transmission frequency inside the communication cable.

[0120] The internal operating parameters are periodically acquired through embedded sensors or data acquisition interfaces of existing communication equipment; the current parameters include the current value flowing inside the cable; the voltage parameters include the real-time voltage values ​​at both ends of the cable; and the signal transmission types include data signals, voice signals, and video signals.

[0121] This invention collects environmental and internal operating data from multiple sources, providing comprehensive input for the digital twin model that is synchronized with the physical entity, ensuring the authenticity and accuracy of the simulation. This enables a more detailed understanding of the actual operating status of the cable and provides a data foundation for accurately predicting cable degradation.

[0122] Preferably, in the process of the digital twin model identifying the external environmental parameters and the internal operating parameters, the electric heat conduction path and the heat exchange conduction path are constructed;

[0123] The electrical heat conduction path is calculated based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the Joule heat is calculated based on the current parameters and the cable digital twin parameters; the dielectric loss heat is obtained based on the voltage parameters, signal transmission type, signal transmission frequency and cable digital twin parameter identification;

[0124] The heat exchange conduction path is constructed according to the finite element analysis method; based on the digital twin parameters, it is identified in combination with the external environmental parameters and the internal heat of the cable to obtain the temperature distribution data of the cable.

[0125] The present invention constructs an electric heat conduction path and a heat exchange conduction path to identify the temperature distribution of communication cables; wherein, the electric heat conduction path is measured based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the digital twin parameters of the heat exchange conduction path are combined with external environmental parameters and the internal heat of the cable for identification to obtain the temperature distribution data of the cable, providing a data basis for degradation simulation of communication cables.

[0126] Preferably, the material aging dynamics model is constructed based on a multi-factor life model;

[0127] Based on the temperature distribution data of communication cables, the material aging degree is identified and the cable degradation parameters are obtained;

[0128] The cable degradation parameters include the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the electrical conductivity of the conductor material.

[0129] A multi-factor lifespan model based on the Arrhenius principle and the Eyring principle is preset, which comprehensively considers the accelerating effects of temperature, humidity, electric field strength and current density on material aging.

[0130] Using the cable's temperature distribution data as the core, combined with ambient humidity, electric field strength calculated from voltage and geometry, and current density calculated from current and conductor cross-sectional area, the aforementioned material aging dynamic model is used to calculate the degree of material aging in each cable component. Based on the aging degree, cable degradation parameters are derived, including but not limited to the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the conductor surface conductivity.

[0131] The present invention integrates electrothermal coupling and heat exchange simulation, and combines it with a multi-factor material aging dynamic model to achieve accurate prediction of the internal temperature distribution of the cable and quantitative assessment of the material performance degradation state. It can effectively track the aging process of the cable, provide core data support for subsequent health status assessment and early warning, and effectively improve the scientific nature and reliability of the prediction.

[0132] Preferably, the signal transmission indicators obtained by the transmission quality monitoring point and the location of the transmission quality monitoring point are input into the digital twin model; the signal transmission indicators include signal attenuation, bit error rate, and bandwidth change;

[0133] Based on the fluctuation of cable degradation parameters, the communication cable is divided into regions to obtain cable degradation regions;

[0134] The digital twin model is used to simulate the path transmission of signals in different cable degradation areas of communication cables to obtain theoretical transmission indicators of transmission quality monitoring points. The data dimensions of the theoretical transmission indicators are consistent with the signal transmission indicators.

[0135] Based on the data deviation between the theoretical transmission index and the signal transmission index, an optimization algorithm is started to reversely adjust the internal parameters of the material aging dynamic model to calibrate the cable degradation parameters;

[0136] Determine the abnormal degradation area based on the calibrated cable degradation parameters.

[0137] The present invention achieves accurate quantification of the health status of communication cables through data monitoring, simulation calibration and optimization; the calibrated degradation parameters can more accurately reflect the actual aging status of the cables, thereby accurately identifying abnormal degradation areas and issuing early warnings in a timely manner, effectively avoiding communication interruptions or performance degradation caused by cable aging, and significantly improving the reliability and safety of cable operation.

[0138] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A high-temperature cable material performance degradation simulation method based on digital twins, characterized by: include: Build a digital twin model to obtain digital twin parameters of communication cables; The digital twin parameters include geometric structure parameters and material characteristic parameters of the communication cable; A digital twin model of the communication cable is constructed based on the digital twin parameters; Multi-source data acquisition: monitoring the environmental data of the area where the communication cables pass through to obtain external environmental parameters; monitoring the signal transmission data based on the communication cables to obtain internal operating parameters; Cable degradation simulation: Based on the digital twin model, the external environmental parameters and internal operating parameters of the communication cable are simulated to obtain the temperature distribution data of the communication cable; Identify the temperature distribution data based on the preset material aging dynamic model to obtain the cable degradation parameters; The material aging dynamics model is constructed based on a multi-factor life model; Identify the material aging degree based on the temperature distribution data of the communication cable and obtain the cable degradation parameters; The cable degradation parameters include the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the electrical conductivity of the conductor material; To quantify the health status, transmission quality monitoring points are set on the communication cables to monitor the signal transmission indicators. The cable degradation parameters are calibrated based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cables and issue early warnings.

2. The method for simulating high-temperature cable material performance degradation based on digital twinning according to claim 1, characterized in that: The digital twin parameters include geometric structure parameters and material characteristic parameters of the communication cable; The geometric structure parameters include cable structure, cable length, cable radius, insulation layer thickness, shielding layer structure thickness, and sheath thickness; The material characteristic parameters include electrical characteristic parameters, thermal characteristic parameters and mechanical characteristic parameters; The electrical characteristic parameters include the electrical conductivity of the conductor material, the relative dielectric constant of the insulation layer, and the dielectric loss tangent; The thermal characteristic parameters include thermal conductivity, specific heat capacity, and surface emissivity of the cable material; The mechanical characteristic parameters include Young's modulus, Poisson's ratio, and thermal expansion coefficient of the cable material.

3. The method for simulating high-temperature cable material performance degradation based on digital twinning according to claim 1, characterized in that: The external environmental parameters are periodically detected by environmental sensors deployed along the communication cable path, including ambient temperature, ambient humidity, and sunlight intensity; The signal transmission data includes signal input data and signal output data of the communication cable; The internal operating parameters are obtained by periodically identifying the signal transmission data in the communication cable, including the current parameters, voltage parameters, signal transmission type, and signal transmission frequency inside the communication cable.

4. The method for simulating high-temperature cable material performance degradation based on digital twinning according to claim 1, characterized in that: In the process of the digital twin model identifying external environmental parameters and internal operating parameters, the electrical and thermal conduction paths and the heat exchange conduction paths are constructed; The electrical heat conduction path is calculated based on internal operating parameters, and the internal heat of the cable is obtained through the Joule heat and dielectric loss heat of the communication cable; the Joule heat is calculated based on the current parameters and the cable digital twin parameters; the dielectric loss heat is obtained based on the voltage parameters, signal transmission type, signal transmission frequency and cable digital twin parameter identification; The heat exchange conduction path is constructed according to the finite element analysis method; Based on the digital twin parameters, combined with the external environmental parameters and the internal heat of the cable, the temperature distribution data of the cable is obtained.

5. The method for simulating high-temperature cable material performance degradation based on digital twinning according to claim 1, characterized in that: Inputting the signal transmission indicators obtained from the transmission quality monitoring points and the locations of the transmission quality monitoring points into the digital twin model; the signal transmission indicators include signal attenuation, bit error rate, and bandwidth change; Based on the fluctuation of cable degradation parameters, the communication cable is divided into regions to obtain cable degradation regions; The digital twin model is used to simulate the path transmission of signals in different cable degradation areas of communication cables to obtain theoretical transmission indicators of transmission quality monitoring points. The data dimensions of the theoretical transmission indicators are consistent with the signal transmission indicators. Based on the data deviation between the theoretical transmission index and the signal transmission index, an optimization algorithm is activated to adjust the internal parameters of the material aging dynamic model to calibrate the cable degradation parameters; Determine the abnormal degradation area based on the calibrated cable degradation parameters.

6. A high-temperature cable material performance degradation simulation system based on digital twins, characterized by: A digital twin model construction module is used to obtain digital twin parameters of the communication cable; the digital twin parameters include geometric structure parameters and material property parameters of the communication cable; and a digital twin model of the communication cable is constructed based on the digital twin parameters. The multi-source data acquisition module monitors the environmental data of the area where the communication cables pass through to obtain external environmental parameters; it also monitors the signal transmission data of the communication cables to obtain internal operating parameters; The cable degradation simulation module simulates the external environmental parameters and internal operating parameters of the communication cable based on the digital twin model to obtain the temperature distribution data of the communication cable; Identify the temperature distribution data based on the preset material aging dynamic model to obtain the cable degradation parameters; The material aging dynamics model is constructed based on a multi-factor life model; Identify the material aging degree based on the temperature distribution data of the communication cable and obtain the cable degradation parameters; The cable degradation parameters include the change in the relative dielectric constant of the insulation layer, the change in the dielectric loss tangent, and the attenuation rate of the electrical conductivity of the conductor material; The health status quantification module sets up transmission quality monitoring points on the communication cable to monitor and obtain signal transmission indicators. It calibrates the cable degradation parameters based on the signal transmission indicators and the locations of the transmission quality monitoring points to obtain abnormal degradation areas of the communication cable and issue early warnings.

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