Power cable damage monitoring system and method based on digital twin model

Abstract

The invention relates to the technical field of cable monitoring, in particular to a power cable damage monitoring system and method based on a digital twin model, and the system comprises a data collection module, an optical calculation processing module, a terahertz radar detection module, a digital twin modeling module and an underwater communication module. The optical calculation processing module performs high-frequency parallel processing on the acquired environmental data to generate a three-dimensional damage map of the submarine cable; the terahertz radar detection module obtains echo signals of a submarine cable insulation layer and extracts insulation aging state information. The digital twinborn modeling module constructs a cable digital twinborn model based on the three-dimensional damage map and the aging information, and predicts a fault diffusion path; and the underwater communication module transmits the model data to a target receiving end. According to the system, the insulation aging detection precision and the real-time prediction capability of the submarine cable are improved, and the intelligence and the engineering applicability of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of cable monitoring, and particularly relates to a power cable damage monitoring system and method based on a digital twin model. Background Art

[0002] With the development of ocean resource exploitation and submarine power transmission technology, submarine cables, as important infrastructure for ocean communication and energy transmission, are widely used in the fields of cross-sea power transmission and ocean information transmission. Limited by the long-term extreme environment of high voltage, high salinity, and high humidity, submarine cables are extremely prone to problems such as insulation layer aging, mechanical damage, and environmental corrosion, seriously threatening the safety and stability of power transmission and communication.

[0003] Existing submarine cable detection technologies mainly adopt methods such as sonar imaging, optical detection, and local sensing, but still have the following deficiencies: The detection accuracy is limited, and it is difficult to effectively identify minor aging and hidden damage inside the cable insulation layer; The ability to process a large amount of high-frequency data is insufficient, and it cannot meet the requirement of generating a complete damage map in real time; There is a lack of a dynamic prediction mechanism, and it is impossible to analyze and predict the diffusion process of potential cable faults in a timely manner; Limited by the strong attenuation of signals by seawater, traditional communication methods are difficult to support real-time data synchronization in deep-sea environments.

[0004] Therefore, there is an urgent need to provide a submarine cable detection and prediction system with high-precision detection, real-time processing, and fault prediction capabilities to improve the operation safety and maintenance efficiency of submarine cables. Summary of the Invention

[0005] The purpose of the present invention is to provide a power cable damage monitoring system based on a digital twin model, which has the advantages of high-precision detection of submarine cable insulation layer damage, three-dimensional visualization modeling, and fault prediction and early warning.

[0006] The above technical purpose of the present invention is achieved through the following technical solutions: A power cable damage monitoring system based on a digital twin model, comprising: A data acquisition module for collecting environmental data of submarine sonar sensors and pressure sensors; An optical computing processing module connected to the data acquisition module for parallel processing of the environmental data to generate a three-dimensional damage map of the submarine cable; A terahertz radar detection module connected to the optical computing processing module for obtaining terahertz echo signals of the submarine cable insulation layer and extracting insulation aging state information; A digital twin modeling module, connected to the optical computing processing module and the terahertz radar detection module, is used to construct a digital twin model of the submarine cable based on the three-dimensional damage map and the insulation aging state information and predict the fault propagation path; An underwater communication module, connected to the digital twin modeling module, is used to transmit the relevant data of the digital twin model.

[0007] Further settings: The optical computing processing module is configured with a parallel computing unit, the parallel computing unit is connected to the data acquisition module, and the parallel computing unit is used to receive the environmental data collected by the data acquisition module and perform high-frequency parallel processing on the environmental data to generate three-dimensional damage map data of the submarine cable; The optical computing processing module further includes a map output interface, and the map output interface is connected to the digital twin modeling module for transmitting the three-dimensional damage map data to the digital twin modeling module.

[0008] By adopting the above technical solution, based on the design of the parallel computing unit of the optical computing architecture, the high-speed parallel processing capability of the optical computing chip can be fully utilized to perform real-time calculation and feature extraction on high-frequency environmental data, greatly improving the data processing speed and computing efficiency, and avoiding the data backlog and delay problems under the traditional electronic processing method; the parallel computing unit can directly output the three-dimensional damage spatial distribution information, accurately depicting the damaged characteristics of the submarine cable insulation layer and its surrounding environment, and improving the comprehensiveness and spatial resolution of damage detection; by setting the map output interface, the fast docking and transmission of the three-dimensional damage map data are realized, providing complete and accurate input data for the subsequent digital twin modeling module, ensuring the real-time performance and prediction accuracy of the twin model, and enhancing the linkage and data closed-loop capabilities of the system.

[0009] Further settings: The parallel computing unit includes a multi-stage feature calculation module, a data cache and scheduling module, and a map output interface; the data cache and scheduling module is connected to the data acquisition module and the multi-stage feature calculation module, and is used to store and stream-schedule the environmental data to provide parallel computing data support for the multi-stage feature calculation module; the map output interface is connected to the multi-stage feature calculation module and the digital twin modeling module for outputting the three-dimensional damage map data.

[0010] By adopting the above technical solution, through the design of the data cache and scheduling module, the orderly storage and stream-scheduling of massive environmental data are realized, ensuring the data continuity and parallel processing efficiency of the multi-stage feature calculation module; through the configuration of the multi-stage feature calculation module, the ability to efficiently process and extract features from environmental data is enhanced, and a complete three-dimensional damage map can be quickly generated.

[0011] Further setting: The multi-stage feature calculation module includes a data resolution module, a feature extraction module, and a spatial reconstruction module; The data resolution module is connected to the data cache and scheduling module, and is used for decoding the environmental data and extracting the sound pressure field and pressure gradient change information; The feature extraction module is connected to the data resolution module, configured with a feature extraction strategy, and extracts local damage feature parameters based on the sound pressure field and pressure gradient changes; The spatial reconstruction module is connected to the feature extraction module, and reconstructs the three-dimensional damage map data of the submarine cable based on the local damage features.

[0012] By adopting the above technical solution, the data resolution module realizes the accurate decoding of environmental data and the extraction of physical quantities, completely obtains the sound pressure field and pressure gradient change information, and lays a foundation for subsequent feature extraction; through the feature extraction module combined with the feature extraction strategy, it is possible to extract the local damage feature parameters of the submarine cable from multi-source physical features, improving the accuracy and sensitivity of damage identification; through the spatial reconstruction module based on the extracted local damage features, the three-dimensional damage map reconstruction is quickly completed, accurately reflecting the spatial damage distribution characteristics of the submarine cable; the functional modules of the multi-stage feature calculation module have clear division of labor and progress step by step, and can effectively improve the accuracy and efficiency of environmental data processing.

[0013] Further setting: The feature extraction module includes a multi-scale feature extraction unit, and the multi-scale feature extraction unit adopts a high-order integral feature extraction algorithm to calculate the local damage intensity function; The spatial reconstruction module includes a damage map reconstruction unit, and the damage map reconstruction unit adopts a complex normalization integral summation algorithm to calculate the three-dimensional damage map data of the submarine cable.

[0014] By adopting the above technical solution, the core operation units in the feature extraction module and the spatial reconstruction module optimize the feature extraction and map generation processes. The multi-scale feature extraction unit adopts a high-order integral feature extraction algorithm, which can finely extract the local damage intensity features of the submarine cable from complex environmental data, improving the accuracy and robustness of damage identification; the damage map reconstruction unit based on the complex normalization integral summation algorithm can effectively integrate multi-scale feature information, quickly reconstruct the three-dimensional damage map of the submarine cable, and improve the spatial modeling accuracy and integrity.

[0015] Further setting: The terahertz radar detection module includes: A terahertz emission unit, which is used to emit terahertz signals within a preset frequency range to the insulation layer of the submarine cable; An echo signal receiving unit, which is connected to the terahertz transmitting unit and is used to receive the terahertz echo signal reflected by the insulating layer of the submarine cable; A signal processing unit, which is connected to the echo signal receiving unit, is configured with a reflection feature extraction algorithm, calculates the reflection coefficient spectrum and insulation aging state information of the submarine cable insulating layer based on the terahertz echo signal, and outputs the calculation results to the digital twin modeling module.

[0016] By adopting the above technical solution, the terahertz radar detection module realizes high-precision detection of the aging state of the submarine cable insulating layer. Through the cooperation of the terahertz transmitting unit and the echo signal receiving unit, the terahertz signal transmission and high-sensitivity reception of the submarine cable insulating layer are realized, ensuring the integrity and accuracy of the reflected signal; the signal processing unit is configured with a reflection feature extraction algorithm, which can accurately analyze the echo signal, calculate the reflection coefficient spectrum, and quantify the aging degree of the insulating layer; the detection results are directly output to the digital twin modeling module, improving the online monitoring ability and modeling real-time performance of the system, and providing reliable original data support for subsequent fault prediction and health assessment.

[0017] Further setting: The signal processing unit includes: A time-frequency feature extraction module, which is connected to the echo signal receiving unit and is used to perform wavelet transform processing on the received terahertz echo signal to extract multi-scale time-frequency features; A reflection spectrum calculation module, which is connected to the time-frequency feature extraction module and adopts a normalized reflection spectrum integration algorithm to calculate the reflection coefficient spectrum of the submarine cable insulating layer; An insulation aging evaluation module, which is connected to the reflection spectrum calculation module and evaluates the aging state of the submarine cable insulating layer based on the reflection coefficient spectrum and a complex non-linear mapping model.

[0018] By adopting the above technical solution, the signal processing unit realizes the fine processing of the terahertz echo signal and the accurate evaluation of the insulation aging state. The time-frequency feature extraction module can effectively extract the multi-scale time-frequency features in the terahertz echo signal based on wavelet transform processing, improving the analysis ability of complex signals; the reflection spectrum calculation module adopts a normalized integration algorithm, which can accurately calculate the reflection coefficient spectrum of the submarine cable insulating layer, quantify the reflection characteristics and suppress the interference caused by energy fluctuations; the insulation aging evaluation module combines a complex non-linear mapping model, which can accurately evaluate the aging state of the insulating layer, providing key technical support for the health condition analysis and life prediction of submarine cables.

[0019] Further setting: The digital twin modeling module is configured with a twin model update unit, which is used to receive the three-dimensional damage map generated by the optical computing processing module and the insulation aging state information extracted by the terahertz radar detection module, and dynamically update the digital twin model of the submarine cable according to the three-dimensional damage map and the insulation aging state information to reflect the real-time state change of the submarine cable.

[0020] By adopting the above technical solution, the digital twin modeling module can realize the real-time modeling and dynamic update of the operation state of the submarine cable. The twin model update unit receives the three-dimensional damage map and the insulation aging state information, realizes the multi-source data fusion processing, and comprehensively reflects the current physical state of the submarine cable; based on the dynamic update mechanism, it can correct and improve the digital twin model of the submarine cable in real time, accurately reflect the cable damage development and insulation aging process; improve the fault prediction and health assessment capabilities, and provide real-time and reliable data support and model basis for the subsequent risk analysis and operation and maintenance decision-making of the system.

[0021] Further setting: The twin model update unit includes: A damage data receiving module, which is connected to the optical computing processing module and receives the three-dimensional damage map data generated by the optical computing processing module; An aging state receiving module, which is connected to the terahertz radar detection module and receives the insulation aging state information extracted by the terahertz radar detection module; A dynamic modeling module, which is respectively connected to the damage data receiving module and the aging state receiving module, and constructs a health state field of the submarine cable by using a weighted fusion algorithm; A parameter update module, which is connected to the dynamic modeling module, is configured with a dynamic iterative update strategy, and recursively updates the health state field according to a preset time step and update coefficient; A fault prediction module, which is connected to the parameter update module, is configured with a fault diffusion prediction algorithm based on the health field gradient, and calculates the potential fault risk and diffusion path of the submarine cable.

[0022] By adopting the above technical solutions, the twin model update unit realizes the accurate modeling of the health status of submarine cables and the prediction of fault risks. The damage data receiving module and the aging status receiving module work together to achieve the efficient fusion of three-dimensional damage maps and insulation aging information, comprehensively grasping the structural health status of submarine cables; the dynamic modeling module, based on the weighted fusion algorithm, can accurately construct the health status field of submarine cables, improving the integrity and accuracy of the model; the parameter update module introduces a dynamic iterative update strategy, supporting recursive modeling based on time steps and reflecting the changing process of cable status in real time; the fault prediction module combines the health field gradient analysis to realize the quantitative prediction of potential fault diffusion paths and risk levels, enhancing the prediction and early warning capabilities of the system.

[0023] Another object of the present invention is to provide a method for monitoring the damage of power cables based on a digital twin model. The above technical object of the present invention is achieved through the following technical solutions: It includes the following steps: S1, Environmental data acquisition step: Collect environmental data from submarine sonar sensors and pressure sensors; S2, Parallel computing processing step: Perform parallel processing on the environmental data to generate three-dimensional damage map data of the submarine cable; S3, Terahertz radar detection step: Transmit terahertz signals to the insulation layer of the submarine cable, receive the echo signals, extract the reflection characteristics, and obtain the aging status information of the insulation layer of the submarine cable; S4, Digital twin modeling step: Based on the three-dimensional damage map data and insulation aging status information, construct a digital twin model of the submarine cable and predict the fault diffusion path; S5, Communication transmission step: Transmit the relevant data of the digital twin model to the target receiving end through the underwater communication module.

[0024] In summary, the present invention has the following beneficial effects: 1. The present invention integrates multi-source environmental data and terahertz radar detection means, and can realize the accurate identification of the aging status of the insulation layer of submarine cables, improving the detection accuracy and reliability; 2. The present invention introduces a parallel computing processing mechanism, effectively solving the problem of real-time processing of a large amount of high-frequency environmental data, and can quickly generate a three-dimensional damage map of the submarine cable, ensuring the response speed and processing ability of the system; 3. The present invention combines digital twin modeling technology, dynamically constructs a digital twin model of the submarine cable based on the detection results, has the ability to predict the fault diffusion path, can early warn of potential fault risks, and improves the intelligent level and prediction ability of the system; 4. The present invention is designed in cooperation with the underwater communication module, and can realize the real-time remote transmission of the three-dimensional damage map and the twin model, meeting the data synchronization requirements in the deep-sea environment. Brief Description of the Drawings

[0025] Figure 1 is a schematic diagram of the system architecture of the present invention; Figure 2 is a schematic diagram of the method flow of the present invention. Detailed Description of the Preferred Embodiments

[0026] The present invention will be further described in detail below with reference to the accompanying drawings.

[0027] Embodiment: A power cable damage monitoring system based on a digital twin model, as Figure 1 shown, includes: A data acquisition module, configured to acquire environmental data of submarine sonar sensors and pressure sensors; An optical computing processing module, connected to the data acquisition module, configured to parallel-process the environmental data to generate a three-dimensional damage map of the submarine cable; The optical computing processing module is configured with a parallel computing unit. The parallel computing unit is connected to the data acquisition module. The parallel computing unit is configured to receive the environmental data acquired by the data acquisition module and perform high-frequency parallel processing on the environmental data to generate three-dimensional damage map data of the submarine cable; The optical computing processing module further includes a map output interface. The map output interface is connected to the digital twin modeling module and is configured to transmit the three-dimensional damage map data to the digital twin modeling module.

[0028] The parallel computing unit includes a multi-stage feature calculation module, a data cache and scheduling module, and a map output interface; the data cache and scheduling module is connected to the data acquisition module and the multi-stage feature calculation module, and is configured to store and stream-schedule the environmental data to provide parallel computing data support for the multi-stage feature calculation module; the map output interface is connected to the multi-stage feature calculation module and the digital twin modeling module, and is configured to output the three-dimensional damage map data.

[0029] The multi-stage feature calculation module includes a data resolution module, a feature extraction module, and a spatial reconstruction module; The data resolution module is connected to the data cache and scheduling module and is configured to decode the environmental data to extract sound pressure field and pressure gradient change information; The feature extraction module is connected to the data resolution module and is configured with a feature extraction strategy to extract local damage feature parameters based on the sound pressure field and pressure gradient changes; The spatial reconstruction module is connected to the feature extraction module and reconstructs the three-dimensional damage map data of the submarine cable based on the local damage features.

[0030] The feature extraction module includes a multi-scale feature extraction unit, which adopts a high-order integral feature extraction algorithm to calculate the local damage intensity function; The spatial reconstruction module includes a damage map reconstruction unit, which adopts a complex normalization integral summation algorithm to calculate the three-dimensional damage map data of the submarine cable.

[0031] Specifically: The data calculation module receives the original environmental data from the data caching and scheduling module and parses it to obtain the sound pressure field and the pressure gradient field; Based on the sound pressure field, the second-order Laplacian is calculated to characterize the local reflection characteristics, which, together with the environmental energy field, serve as the core input for subsequent feature extraction; The multi-scale feature extraction unit adopts a high-order spatial integration and local energy coupling algorithm to calculate the local damage intensity function , This function comprehensively considers the sound pressure reflection characteristics, the sensitivity of pressure change, and the change of the energy field, and is specifically expressed as:

[0032] Where: is the second-order Laplacian of the sound pressure field; G is the environmental pressure gradient; E is the energy field; , , are adjustable physical coupling coefficients.

[0033] The damage map reconstruction unit under the spatial reconstruction module normalizes and integrates the local damage intensity function and performs non-linear mapping to finally generate a three-dimensional damage map , The core calculation process is as follows:

[0034] The terahertz radar detection module is connected to the optical computing processing module and is used to obtain the terahertz echo signal of the submarine cable insulation layer and extract the insulation aging state information; The terahertz radar detection module includes: The terahertz transmitting unit is used to transmit terahertz signals within a preset frequency range to the submarine cable insulation layer; The echo signal receiving unit is connected to the terahertz transmitting unit and is used to receive the terahertz echo signal reflected by the submarine cable insulation layer; The signal processing unit is connected to the echo signal receiving unit and is configured with a reflection feature extraction algorithm to calculate the reflection coefficient spectrum and insulation aging state information of the submarine cable insulation layer based on the terahertz echo signal, and output the calculation results to the digital twin modeling module.

[0035] The signal processing unit includes: The time-frequency feature extraction module is connected to the echo signal receiving unit and is used to perform wavelet transform processing on the received terahertz echo signal to extract multi-scale time-frequency features; The reflection spectrum calculation module is connected to the time-frequency feature extraction module and uses the normalized reflection spectrum integration algorithm to calculate the reflection coefficient spectrum of the submarine cable insulation layer; The insulation aging evaluation module is connected to the reflection spectrum calculation module and evaluates the aging state of the submarine cable insulation layer based on the reflection coefficient spectrum and the complex non-linear mapping model.

[0036] The digital twin modeling module is connected to the optical computing processing module and the terahertz radar detection module, and is used to construct a digital twin model of the submarine cable based on the three-dimensional damage map and insulation aging state information and predict the fault propagation path; The specific implementation steps of the signal processing unit are as follows: I. Time-frequency feature extraction step The signal processing unit first performs continuous wavelet transform on the received terahertz echo signal to extract its multi-scale features:

[0037] where: is the scale factor; is the translation factor; is the complex conjugate wavelet function.

[0038] II. Reflection spectrum calculation step Based on the wavelet coefficient , use the integral normalization algorithm to calculate the reflection coefficient spectrum :

[0039] is the translation position corresponding to the frequency ; The reflection spectrum is normalized to eliminate the influence of energy difference.

[0040] III. Insulation aging evaluation step The reflection coefficient spectrum Input the non-linear aging evaluation model to generate the insulation aging state index A:

[0041] Wherein: tanh(·) introduces non-linear mapping to enhance the sensitivity to aging characteristics; λ is a regulation coefficient to control the importance weight of frequency bands.

[0042] The digital twin modeling module is configured with a twin model update unit. The twin model update unit is used to receive the three-dimensional damage map generated by the optical computing processing module and the insulation aging state information extracted by the terahertz radar detection module, and dynamically update the digital twin model of the submarine cable according to the three-dimensional damage map and the insulation aging state information to reflect the real-time state change of the submarine cable.

[0043] The twin model update unit includes: A damage data receiving module, which is connected to the optical computing processing module to receive the three-dimensional damage map data generated by the optical computing processing module; An aging state receiving module, which is connected to the terahertz radar detection module to receive the insulation aging state information extracted by the terahertz radar detection module; A dynamic modeling module, which is respectively connected to the damage data receiving module and the aging state receiving module, and constructs the health state field of the submarine cable by using a weighted fusion algorithm; A parameter update module, which is connected to the dynamic modeling module, is configured with a dynamic iterative update strategy, and recursively updates the health state field according to a preset time step and update coefficient; A fault prediction module, which is connected to the parameter update module, is configured with a fault diffusion prediction algorithm based on the health field gradient, and calculates the potential fault risk and diffusion path of the submarine cable.

[0044] The twin model update unit is implemented through the following specific steps: Step 1: Data preprocessing and quantization The three-dimensional damage map dataset D:

[0045] Wherein: ∈ [0,1], representing the local damage degree, 0 for no damage, and 1 for complete damage; is the number of damaged nodes.

[0046] The insulation aging factor field A:

[0047] Among them: , representing the degree of local insulation aging; is the total number of aging sampling nodes.

[0048] Step 2: Health status fusion modeling Fusion formula:

[0049] Design parameters: Damage weight = 0.7 Aging weight = 0.3 Satisfy + = 1 Specifically as follows:

[0050] Step 3: Time-driven dynamic update Update formula:

[0051] Design parameters: Update coefficient = 0.2 (used to regulate the sensitivity of the model); The larger, the faster the model responds to new detection data; The smaller, the smoother the model and the stronger the anti-noise ability.

[0052] Step 4: Design of fault diffusion prediction algorithm 4.1 Calculate the health field gradient:

[0053] 4.2 Design the fault risk threshold θ Set the fault determination threshold θ = 0.6 Calculate the risk area:

[0054] Meaning: Integrate over the entire domain, and count the volume of the area where the health field is greater than the fault threshold as the risk index.

[0055] Step 5: Output and interface design Output: Real-time twin model snapshot; Risk value ; Three-dimensional coordinate set of the dangerous area.

[0056] Interface: It supports output to the backend communication module; It can be docked with the shore-based decision-making platform or the unmanned maintenance system.

[0057] The underwater communication module is connected to the digital twin modeling module and is used to transmit relevant data of the digital twin model.

[0058] The underwater communication module mainly includes: Modulation and demodulation unit: It is used to convert the digital signal output by the digital twin modeling module into a modulated signal that can be transmitted underwater, and demodulate the received underwater signal to restore the original data; Channel coding unit: It is configured with an anti-interference coding algorithm and is used to perform channel coding on the transmitted data to enhance data integrity and anti-noise ability in the underwater channel environment; Terahertz communication unit: It adopts underwater terahertz communication technology, supports data transmission with low attenuation (<1 dB / m), connects the system with the external receiving end, and realizes high-bandwidth real-time transmission; Data caching and scheduling unit: It is used to cache the data to be sent and perform scheduling management to avoid communication bottlenecks caused by concentrated transmission of data bursts.

[0059] Its specific work includes: (1) Data acquisition and caching The digital twin modeling module transmits the three-dimensional damage map data and model prediction results to the underwater communication module; The data caching and scheduling unit temporarily stores the received data to avoid instantaneous large-flow impact on the communication link.

[0060] (2) Channel coding processing Call the channel coding unit to perform anti-interference channel coding on the cached data, such as using Turbo coding or LDPC coding, to improve the transmission robustness and anti-interference ability in the deep-sea environment.

[0061] (3) Modulation and transmission The modulation and demodulation unit performs modulation processing on the encoded data and generates a terahertz carrier signal using the OFDM modulation technology that resists multipath interference; The terahertz communication unit sends the modulated signal to the shore-based system or other receiving nodes through the underwater terahertz channel.

[0062] (4) Reception and demodulation (reversible process) The receiving end demodulates and decodes the terahertz signal to restore the complete digital twin model data.

[0063] A method for monitoring the damage of power cables based on a digital twin model, such asFigure 2 As shown in the figure, it includes the following steps: S1, Environmental data acquisition step: Acquire environmental data from subsea sonar sensors and pressure sensors; S2, Parallel computing and processing step: Perform parallel processing on the environmental data to generate three-dimensional damage map data of the subsea cable; S3, Terahertz radar detection step: Transmit terahertz signals to the insulation layer of the subsea cable, receive echo signals, extract reflection characteristics, and obtain the aging state information of the insulation layer of the subsea cable; S4, Digital twin modeling step: Based on the three-dimensional damage map data and insulation aging state information, construct a digital twin model of the subsea cable and predict the fault propagation path; S5, Communication transmission step: Transmit the relevant data of the digital twin model to the target receiving end through the underwater communication module.

[0064] In summary, the subsea cable detection and prediction system provided in this embodiment combines optical computing parallel processing, terahertz radar high-precision detection, digital twin dynamic modeling, and underwater communication technology, and has the following significant technical effects and advantages: The system adopts an optical computing parallel processing architecture, significantly improving the real-time processing ability of a large amount of high-frequency environmental data, and solving the problems of slow data processing speed and difficulty in real-time generating three-dimensional damage maps in traditional technologies; Introduce a terahertz radar detection module and a high-precision reflection characteristic extraction algorithm, realizing accurate detection of the internal aging state of the subsea cable insulation layer, overcoming the problem of inability to effectively obtain the internal aging characteristics of the insulation layer in the background technology, and improving the accuracy and reliability of detection; Design a digital twin model dynamic update mechanism, integrating three-dimensional damage maps and insulation aging data, which can reflect the changes in the health state of the subsea cable in real time, has the function of predicting the fault propagation path, and solves the deficiency of the lack of real-time prediction ability in traditional solutions; Configure an underwater terahertz communication module, through channel coding and OFDM modulation technology, ensuring the stable transmission of three-dimensional damage maps and twin model data, solving the problems of large communication attenuation and difficult synchronization in the seawater environment, and enhancing the remote communication and online operation and maintenance capabilities of the system.

[0065] Overall, the technical chain of this solution is complete, and each functional module collaborates efficiently, breaking through the limitations of low detection accuracy, lagging data processing, and insufficient prediction ability in existing technologies, significantly improving the monitoring accuracy of the subsea cable operation state, the fault prediction ability, and the system intelligence level, and having strong engineering application value and promotion prospects.

[0066] The above-described embodiments do not constitute a limitation on the protection scope of the technical solution. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the above embodiments shall be included within the protection scope of the technical solution.

Claims

1. A power cable damage monitoring system based on a digital twin model, characterized in that: include: Data acquisition module, used to collect environmental data from seabed sonar sensors and pressure sensors; An optical computing processing module, connected to the data acquisition module, for processing the environmental data in parallel to generate a three-dimensional damage map of the submarine cable; A terahertz radar detection module, connected to the optical computing processing module, is used to obtain the terahertz echo signal of the submarine cable insulation layer and extract insulation aging status information; A digital twin modeling module, connected to the optical computing processing module and the terahertz radar detection module, for building a digital twin model of the submarine cable based on the three-dimensional damage map and insulation aging status information and predicting the fault diffusion path; The underwater communication module is connected to the digital twin modeling module and is used to transmit relevant data of the digital twin model.

2. According to claim 1, a power cable damage monitoring system based on a digital twin model is characterized in that: The optical computing processing module is configured with a parallel computing unit, which is connected to the data acquisition module, and is used to receive the environmental data collected by the data acquisition module, and perform high-frequency parallel processing on the environmental data to generate three-dimensional damage map data of the submarine cable; The optical computing processing module further includes a map output interface, which is connected to the digital twin modeling module and is used to transmit the three-dimensional damage map data to the digital twin modeling module.

3. According to claim 2, a power cable damage monitoring system based on a digital twin model is characterized in that: The parallel computing unit includes a multi-stage feature calculation module, a data cache and scheduling module, and a map output interface; the data cache and scheduling module is connected to the data acquisition module and the multi-stage feature calculation module, and is used to store and stream the environmental data, and provide parallel computing data support for the multi-stage feature calculation module; the map output interface is connected to the multi-stage feature calculation module and the digital twin modeling module, and is used to output three-dimensional damage map data.

4. According to claim 3, a power cable damage monitoring system based on a digital twin model is characterized in that: The multi-stage feature calculation module includes a data solution module, a feature extraction module and a space reconstruction module; The data solution module is connected to the data cache and scheduling module, and is used to decode the environmental data and extract the sound pressure field and pressure gradient change information; The feature extraction module is connected to the data solution module, and is configured with a feature extraction strategy to extract local damage feature parameters based on the acoustic pressure field and pressure gradient changes; The spatial reconstruction module is connected to the feature extraction module and reconstructs the three-dimensional damage atlas data of the submarine cable based on the local damage features.

5. According to claim 4, a power cable damage monitoring system based on a digital twin model is characterized in that: The feature extraction module includes a multi-scale feature extraction unit, and the multi-scale feature extraction unit uses a high-order integral feature extraction algorithm to calculate a local damage intensity function; The spatial reconstruction module includes a damage spectrum reconstruction unit, and the damage spectrum reconstruction unit adopts a complex normalized integral summation algorithm to calculate the three-dimensional damage spectrum data of the submarine cable.

6. The power cable damage monitoring system based on digital twin model according to claim 1 is characterized in that: The terahertz radar detection module comprises: A terahertz transmitting unit, which is used to transmit a terahertz signal within a preset frequency range to an insulating layer of a submarine cable; An echo signal receiving unit, the echo signal receiving unit is connected to the terahertz transmitting unit and is used to receive the terahertz echo signal reflected back by the insulation layer of the submarine cable; A signal processing unit, wherein the signal processing unit is connected to the echo signal receiving unit, is configured with a reflection feature extraction algorithm, calculates the reflection coefficient spectrum and insulation aging status information of the submarine cable insulation layer based on the terahertz echo signal, and outputs the calculation result to the digital twin modeling module.

7. The power cable damage monitoring system based on digital twin model according to claim 6 is characterized in that: The signal processing unit comprises: A time-frequency feature extraction module, which is connected to the echo signal receiving unit and is used to perform wavelet transform processing on the received terahertz echo signal to extract multi-scale time-frequency features; A reflection spectrum calculation module, which is connected to the time-frequency feature extraction module and uses a normalized reflection spectrum integration algorithm to calculate the reflection coefficient spectrum of the submarine cable insulation layer; The insulation aging assessment module is connected to the reflection spectrum calculation module and assesses the aging state of the insulation layer of the submarine cable based on the reflection coefficient spectrum and the complex nonlinear mapping model.

8. The power cable damage monitoring system based on digital twin model according to claim 1 is characterized in that: The digital twin modeling module is configured with a twin model updating unit, which is used to receive the three-dimensional damage map generated by the optical computing processing module and the insulation aging status information extracted by the terahertz radar detection module, and dynamically update the digital twin model of the submarine cable according to the three-dimensional damage map and the insulation aging status information to reflect the real-time status changes of the submarine cable.

9. The power cable damage monitoring system based on digital twin model according to claim 8 is characterized in that: The twin model updating unit includes: A damage data receiving module, the damage data receiving module is connected to the optical calculation processing module, and receives the three-dimensional damage atlas data generated by the optical calculation processing module; An aging status receiving module, the aging status receiving module is connected to the terahertz radar detection module, and receives insulation aging status information extracted by the terahertz radar detection module; A dynamic modeling module, which is connected to the damage data receiving module and the aging status receiving module respectively, and uses a weighted fusion algorithm to construct a health status field of the submarine cable; A parameter updating module, which is connected to the dynamic modeling module and is configured with a dynamic iterative updating strategy to recursively update the health status field according to a preset time step and an updating coefficient; A fault prediction module is connected to the parameter updating module and is configured with a fault diffusion prediction algorithm based on a health field gradient to calculate the potential fault risk and diffusion path of the submarine cable.

10. A power cable damage monitoring method based on a digital twin model, applied to a power cable damage monitoring system based on a digital twin model as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: S1, environmental data collection step: collecting environmental data from seabed sonar sensors and pressure sensors; S2, parallel computing processing step: parallel processing the environmental data to generate three-dimensional damage map data of the submarine cable; S3, terahertz radar detection step: transmitting terahertz signals to the submarine cable insulation layer, receiving echo signals, extracting reflection features, and obtaining aging status information of the submarine cable insulation layer; S4, digital twin modeling step: based on the three-dimensional damage map data and insulation aging status information, construct a digital twin model of the submarine cable and predict the fault diffusion path; S5, communication transmission step: transmitting the relevant data of the digital twin model to the target receiving end through the underwater communication module.

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