Digital evaluation system for operating parameters of remote power supply in marine environment

Abstract

The invention relates to the technical field of electrical digital data processing, and discloses a digital evaluation system for operating parameters of a remote power supply in a marine environment, which comprises an operating data access module, a data logic mapping module, a feature logic recovery module and an operating state evaluation module, the data logic mapping module maps the original electric signal sequence into a data flow pattern with plastic fluid characteristics, and establishes a logic mapping model containing virtual roll gap parameters according to logic mapping pressure caused by external environment parameters; according to the method, deep decoupling of environmental strain interference and intrinsic electrical characteristics of a power supply is realized, data space warping is effectively eliminated, the reliability of the power supply is improved, the reliability of the power supply is improved, and the reliability of the power supply is improved. And it is ensured that the operation characteristics maintain topological consistency in a multi-parameter coupling fluctuation environment.

Description

Technical Field

[0001] This invention relates to a digital evaluation system for the operating parameters of a remote power supply for marine environments, belonging to the field of electrical digital data processing technology. Background Technology

[0002] Current conventional solutions use sensors to collect voltage and current sequences at the power supply output, extract steady-state parameters using the sampling theorem, and perform state monitoring. As the deployment depth increases, the inductance and capacitance parameters of the submarine cable are affected by external hydrostatic pressure and salinity gradients, exhibiting dynamic nonlinear characteristics. The fluctuations in physical characteristics modulate the electrical waveform, resulting in waveform plastic distortion and causing non-uniform compression of the digital sequence in the time domain. Conventional static threshold evaluation models cannot distinguish between spurious features caused by environmental strain and electrical fault features of the power supply itself. The evaluation accuracy is limited by the frequency of environmental fluctuations. Improving hardware sampling accuracy cannot eliminate waveform geometric distortion caused by physical deformation of the medium. Conventional high-order fitting algorithms face the contradiction of computational load and logical lag in embedded processors, making it difficult to meet the requirements of real-time evaluation and low-cost deployment.

[0003] Hardware defenses have reached a bottleneck. Monitoring algorithms, which handle complex non-stationary data streams, focus on software-level numerical corrections and fail to address the physical causes of signal distortion. For example, Chinese invention patent CN108805779A discloses a real-time marine environment monitoring system based on an underwater robot. It performs statistical preprocessing of abnormal data by constructing replacement processing samples and weighting coefficients. Essentially, this is for numerical completion of discrete errors in sensors, but it lacks logical fitting of the physical strain process of the transmission medium. Faced with signal envelope distortion and phase nonlinear aliasing caused by channel distribution parameter drift, it is difficult to identify and offset the evolution of electromagnetic properties of the transmission channel under the strong load environment of the deep sea. The calculation logic has judgment bias and zero-point drift, and it cannot achieve deep decoupling of environmental strain interference and intrinsic electrical characteristics of the power supply from the root cause.

[0004] Therefore, how to establish a digital evaluation mechanism to actively offset physical waveform distortion and achieve high-precision decoupling of environmental stress interference and power supply electrical characteristics with low computing power overhead has become the technical problem to be solved by this invention. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A digital evaluation system for the operating parameters of a remote power supply for marine environments, the system comprising:

[0006] The data access module is used to acquire the original electrical signal sequence that characterizes the operating status of the remote transmission channel;

[0007] The data logic mapping module is used to map the original electrical signal sequence into a data stream manifold with plastic fluid characteristics. The signal envelope distortion caused by external boundary environmental parameters is defined as a logic mapping pressure that acts on the data stream manifold and includes the width dimension. Based on the time-domain non-uniform compression characteristics of the original electrical signal sequence, a logic mapping model including virtual roll gap parameters is established to characterize the characteristic distribution displacement of the original electrical signal sequence during the transmission process of the distributed parameter channel.

[0008] The feature logic restoration module is used to extract the harmonic component distribution in the original electrical signal sequence and define the harmonic component distribution as the virtual harmful bending moment acting on the logic mapping model. By calculating the logic pressure compensation amount of the corresponding virtual roll gap parameters, the original electrical signal sequence is subjected to nonlinear reverse stretching processing to generate the eigenfunction matrix.

[0009] The operation status assessment module is used to establish multi-dimensional feature flatness monitoring logic, regress the feature vectors of each dimension in the intrinsic operation feature matrix to the preset logical flatness benchmark, determine the load status level of the remote power supply based on the logical ratio offset of the intrinsic operation feature matrix relative to the logical flatness benchmark, and output operation parameter assessment instructions.

[0010] Preferably, the feature logic restoration module further includes a multi-dimensional feature consistency optimization unit. The multi-dimensional feature consistency optimization unit is used to define voltage, current and each harmonic component as the measurement point feature vector of the data stream manifold in the width dimension, calculate the virtual bending roller force operator for correcting the warping of the feature space, and use the virtual bending roller force operator to perform dynamic intervention on the logical weight of the measurement point feature vector to maintain the geometric fidelity of the original electrical signal sequence in the topological space under external non-uniform parameter perturbation.

[0011] Preferably, the data logic mapping module further includes a model self-calibration unit, which is used to acquire channel leakage characteristic components in real time, dynamically correct the stiffness coefficient of the logic mapping model based on the channel leakage characteristic components, and correct the waveform plastic distortion calculation deviation of the original electrical signal sequence by adjusting the deformation resistance parameter of the data stream manifold.

[0012] Preferably, the feature logic restoration module calculates the logic pressure compensation amount through a virtual rolling force operator. The calculation rule of the virtual rolling force operator is as follows: ,in, For virtual rolling force operators, The preset amplitude correction gain coefficient, The preset phase compensation weighting factor, This represents the instantaneous amplitude deviation of the original electrical signal sequence relative to the reference waveform. This represents the real-time phase offset angle of the original electrical signal sequence.

[0013] Preferably, the multidimensional feature consistency optimization unit is used to construct a virtual plate shape distribution matrix of the data flow pattern, and when the second-order feature gradient of the virtual plate shape distribution matrix exceeds a preset threshold, it decouples the pseudo-feature signal caused by channel physical strain from the intrinsic running feature matrix.

[0014] Preferably, the system also includes an edge computing gateway, which has a built-in floating-point arithmetic unit for performing lightweight gradient operations of the feature logic restoration module, with an operation frequency of not less than 50Hz.

[0015] Preferably, the feature logic restoration module is used to reconstruct the feature correlation matrix at the logic layer and perform logic restoration on the original electrical signal sequence modulated by non-stationary data stream by adjusting the compensation amount of the virtual roll gap parameter in the logic mapping model.

[0016] Preferably, the operation status evaluation module is used to perform a logic check based on the time domain distribution law before outputting the operation parameter evaluation command, so that the energy integral value of the intrinsic operation characteristic matrix in the complete cycle matches the preset intrinsic power curve of the power supply.

[0017] Preferably, the system also includes a fault warning actuator, which is used to receive operating parameter evaluation instructions and, when the load status level is in an abnormal range, perform power derating operation of the remote power supply or switch transmission channels.

[0018] Preferably, the operation status assessment module is used to record the historical evolution trajectory of the load status level, use a time series regression algorithm to predict the insulation degradation logic step size of the remote transmission channel under the influence of external boundary environmental parameters, and generate system maintenance planning instructions based on the insulation degradation logic step size.

[0019] Compared with the prior art, the beneficial effects of the present invention are:

[0020] 1. In the operation of remote power supply in marine environments, by converting physical characteristic parameters into equivalent rolling force operators and dynamically adjusting the compensation amount of virtual evaluation roll gap accordingly, the system is able to perform active logic restoration on nonlinear plastic distortion of electrical waveforms. This enables the phase shift and amplitude distortion in the original digital sequence to be nonlinearly reversed during the calculation process, achieving deep decoupling between environmental strain interference and the intrinsic electrical characteristics of the power supply, and improving the accuracy of the system's operating parameter determination in non-stationary data flow environments.

[0021] 2. A multi-dimensional feature topology consistency optimization mechanism based on virtual bending roll compensation is introduced. By establishing a virtual plate shape distribution matrix for multi-dimensional operating features, closed-loop control of the logical ratio between heterogeneous electrical parameters is achieved. The virtual bending roll force operator is used to dynamically intervene in the logical weights of each dimension feature, eliminating data space warping caused by non-uniform environmental stress, ensuring that the calibrated dataset maintains geometric fidelity in the topological space, and improving the ability to identify latent electrical faults under multi-parameter coupling fluctuations.

[0022] 3. By dynamically correcting the stiffness coefficient of the virtual rolling model using leakage current characteristic components, a model self-calibration mechanism intrinsically derived from the computational logic is constructed. This mechanism identifies and automatically offsets the residual logical strain caused by the degradation of the physical performance of the power supply line over service time, eliminates zero-point drift in the evaluation conclusions due to service duration, and ensures that the evaluation model remains anchored to the true physical health baseline throughout its entire lifecycle. By identifying transient load states and increasing the logical stiffness coefficient of the virtual rolling compensation model, combined with damping smoothing processing, the logic offset is achieved against step impacts caused by sudden changes in the end load. This effectively distinguishes data fluctuations caused by external load disturbances and strain in the transmission medium, smooths out oscillations in the evaluation results caused by inductive inertia, and ensures that the system has high logical robustness and response under complex dynamic load conditions. Attached Figure Description

[0023] Figure 1 This is a block diagram illustrating the system data processing principle of logical mapping and feature restoration in this invention.

[0024] Figure 2 This is a schematic diagram of the system functional architecture for integrating model self-calibration and operation and maintenance interaction in this invention. Detailed Implementation

[0025] The following description is for the purpose of explaining the present invention and does not constitute a limitation on the scope of protection of the present invention.

[0026] This invention provides a digital evaluation system for the operating parameters of a remote power supply in a marine environment. It comprises an operating data access module, a data logic mapping module, a feature logic restoration module, and an operating status evaluation module. These modules are connected via data links to form a closed-loop analysis system for the electrical parameters of the remote transmission channel. Addressing the issue of waveform distortion caused by hydrostatic pressure modulation of the distributed inductance and capacitance of submarine cables, the operating data access module acquires the original electrical signal sequence characterizing the operating status of the remote transmission channel. It includes voltage and current sampling sequences with a sampling frequency of no less than 10kHz, used to record transient electrical signal characteristics introduced by channel physical deformation; based on the time-domain non-uniform compression of the digital sequence caused by environmental stress, the data logic mapping module converts the original electrical signal sequence... The data flow manifold is mapped to exhibit plastic fluid characteristics, and the signal envelope distortion caused by external boundary environmental parameters is defined as a logical mapping pressure acting on the data flow manifold, including the width dimension. The data logic mapping module is based on the original electrical signal sequence. The temporal non-uniform compression characteristics are used to establish a system including virtual roll gap parameters. The logical mapping model represents the original electrical signal sequence. The characteristic distribution displacement during channel transmission; the logic mapping module also includes a model self-calibration unit, used to acquire channel leakage feature components and correct the stiffness coefficient of the logic mapping model based on the channel leakage feature components. By adjusting the deformation resistance parameters of the data stream flow pattern, the original electrical signal sequence is corrected. The calculation deviation; the parameter calibration during the system initialization phase includes: the edge computing gateway sending a 50Hz standard sinusoidal excitation signal to the remote transmission channel, and synchronously acquiring the original electrical signal sequence. ,calculate Phase lag angle relative to the excitation signal With amplitude attenuation rate The mapping results are matched to a preset impedance-depth characteristic lookup table to determine the virtual roll gap parameters. Initial reference value, adjust the amplitude gradient of the excitation signal and record the leakage current sampling signal. Current response slope, determining the initial stiffness coefficient of the logic mapping model. Quantize the channel’s sensitivity to hydrostatic pressure response.

[0027] To address the evaluation drift problem caused by phase shift and amplitude distortion, the feature logic recovery module extracts the original electrical signal sequence. The harmonic component distribution is defined as a virtual harmful bending moment acting on the logic mapping model; the characteristic logic restoration module uses a virtual rolling force operator. Calculate the logic pressure compensation amount for the original electrical signal sequence. Perform nonlinear reverse stretching to generate the eigenvalue matrix; virtual rolling force operator. The calculation formula is as follows: ,in, For virtual rolling force operators, The preset amplitude correction gain coefficient, The preset phase compensation weighting factor, The original electrical signal sequence The instantaneous amplitude deviation value relative to the reference waveform, The original electrical signal sequence The real-time phase offset angle; the feature logic restoration module also includes a multi-dimensional feature consistency optimization unit, which defines voltage, current, and each harmonic component as the measurement point feature vector of the data stream manifold in the width dimension; the multi-dimensional feature consistency optimization unit calculates the virtual bending roll force operator used to correct the warping of the feature space. Using virtual bending roller force operator Dynamic intervention is performed on the logical weights of the feature vectors at the measurement points to maintain the original electrical signal sequence. Geometric fidelity within the topological space; multidimensional feature consistency optimization units construct a virtual plate-shaped distribution matrix for the data flow manifold. and in the virtual plate shape distribution matrix When the second-order characteristic gradient exceeds a preset threshold, the pseudo-characteristic signal caused by channel physical strain is separated from the intrinsic operating characteristic matrix; when the characteristic logic restoration module processes nonlinear reverse stretching: based on the virtual rolling force operator Determine the time-domain resampling weight factor ,use right Dynamic compensation of discrete sampling point intervals, when the operator As the external boundary environmental parameters increase, the system proportionally reduces the logical time step between sampling points to offset the phase delay and waveform distortion caused by the physical deformation of the submarine cable, thereby realizing the digital spatial geometric shape restoration of the power waveform. The generated intrinsic operating feature matrix is ​​used by the operating status assessment module to calculate the logical proportional offset to determine the load status level of the remote power supply and generate system maintenance planning instructions.

[0028] To determine the real-time operating status of the remote power supply, the operating status assessment module establishes a multi-dimensional feature smoothness monitoring logic, regressing the feature vectors of each dimension in the intrinsic operating feature matrix to a preset logic smoothness benchmark. Based on the logical proportional offset of the intrinsic operating feature matrix relative to the logic smoothness benchmark, the operating status assessment module determines the load status level of the remote power supply and outputs operating parameter assessment instructions. These instructions are received by the fault warning actuator, which executes power derating or switches transmission channels when the load status level is in an abnormal range. To predict the insulation degradation logic step size and generate system maintenance planning instructions, the operating status assessment module uses a sliding window technique to extract a 24-hour load status level sequence and fits the logical distance of the state vectors using the least squares method. The evolution trend line is defined by the operating state evaluation module. The first derivative of the evolution trend line is defined as the insulation degradation rate, and the second derivative is defined as the insulation degradation acceleration. When the second derivative is greater than 0.01 for three consecutive sampling periods, and the first derivative is monotonically increasing, the system determines the insulation degradation acceleration based on the current state vector logical distance. The remaining service time window is calculated based on the logical difference between the current value and the preset failure threshold, and is defined as the insulation degradation logic step. If the insulation degradation logic step is less than the preset 168h warning limit, the system determines that there is a physical failure risk in the current remote transmission channel and outputs a system maintenance planning instruction that includes switching to a backup transmission branch or performing power-limited operation, thus realizing preventive maintenance based on the feature evolution law.

[0029] The system also includes an edge computing gateway with a built-in floating-point unit for performing gradient calculations in the feature logic restoration module, with an operation frequency of no less than 50Hz. Before outputting evaluation instructions, the operation status evaluation module performs logic verification based on time-domain distribution patterns to match the energy integral value of the intrinsic operation feature matrix over a complete cycle with the preset intrinsic power curve of the power supply. To perform the logic verification based on time-domain distribution patterns, the operation status evaluation module calculates the real-time energy integral value of the intrinsic operation feature matrix over a complete power frequency cycle. It also extracts the reference power value of the preset intrinsic power curve of the power supply at the corresponding load point from the edge computing gateway. The quantitative criterion for successful logic matching in the operational status assessment module is: real-time energy integral value. Compared with the reference power value relative deviation Less than or equal to the preset verification tolerance relative deviation The calculation rules follow the formula Among them, the verification tolerance It was calibrated to 0.03 during the initial system deployment, when the relative deviation... Exceeding the verification tolerance When the system determines that the intrinsic running feature matrix has logical distortion due to phase nonlinear aliasing, it suspends the output task of the current evaluation instruction to execute the feature resampling procedure.

[0030] Example 1: In deep-sea long-distance power supply applications where the deployment depth exceeds 3000m and the bottom ocean current environment exhibits strong shear stress, the submarine cable undergoes physical geometric deformation due to the combined modulation of the hydrostatic pressure gradient and ocean current shear load. This causes nonlinear plastic distortion of the electrical waveform at the power output end, resulting in non-uniform compression of the time-domain phase of the original sampling sequence. Conventional static threshold evaluation models, when faced with such high-frequency wave characteristic fluctuations introduced by the physical strain of the transmission medium, often fail to decouple the spurious features generated by environmental interference from the original digital sequence. Consequently, they frequently misjudge the false electrical offset generated by the medium deformation as an insulation fault in the power supply body or a short circuit in the busbar. The data access module acquires the original electrical signal sequence at a frequency of 10kHz. The digital signal stream, the data logic mapping module converts the original electrical signal sequence The data stream flow pattern is mapped to have plastic fluid characteristics. The signal envelope distortion caused by ocean current shear stress is transformed into an equivalent deformation load acting on the data stream flow pattern using a logical mapping pressure algorithm. At this time, the characteristic distribution of the data space generates topological displacement due to physical strain.

[0031] The feature logic restoration module extracts the original electrical signal sequence. The harmonic component distribution in the model is defined as a virtual harmful bending moment acting on the logic mapping model, and the virtual rolling force operator is used. The calculation of the logic pressure compensation amount follows the formula: ,in, For virtual rolling force operators, The preset amplitude correction gain coefficient, The preset phase compensation weighting factor, The original electrical signal sequence The instantaneous amplitude deviation value relative to the reference waveform, The original electrical signal sequence Real-time phase offset angle; virtual rolling force operator For the original electrical signal sequence Nonlinear reverse stretching is performed to correct the phase hysteresis effect caused by physical deformation of the submarine cable transmission medium. At the same time, a multidimensional feature consistency optimization unit calculates a virtual bending roll force operator to correct the warping of the feature space. Using virtual bending roller force operator By intervening in the weight allocation of voltage vector, current vector, and harmonic characteristic vector, the characteristics of each measuring point affected by the non-uniform parameters of ocean currents are restored to the preset logical flatness benchmark. The operation status assessment module calculates the logical ratio offset between the intrinsic operation characteristic matrix and the logical flatness benchmark using the Euclidean distance algorithm. During the 125.6ms sampling period when the submarine cable is under the most severe pressure, the operation parameter assessment command is output. The calculated state vector logical distance is maintained within a stable range of 0.05, eliminating false electrical fluctuations caused by deep-sea environmental stress, and realizing real-time monitoring of the performance degradation trend of remote power supply under complex dynamic loads.

[0032] Example 2: The verification process was based on a 50km distributed parameter cable simulation model constructed using finite element analysis. This model simulates the nonlinear evolution of the distributed inductance and capacitance of the submarine cable under different depth pressures by solving discretized Maxwell's equations. The sampling frequency was set to 10kHz to balance the accuracy of signal feature extraction with the computational load. The test environment actively superimposed Gaussian white noise with a signal-to-noise ratio of 20dB and power frequency interference with a total harmonic distortion rate of 2.5%. The test design covered four pressure gradients: 10MPa, 30MPa, 50MPa, and 60MPa (exceeding the limit). The data access module was used to acquire the original electrical signal sequence. The data logic mapping module will convert the original electrical signal sequence The data stream is converted into a flow pattern with plastic fluid characteristics, and the virtual rolling force operator is calculated by the feature logic restoration module. Nonlinear reverse stretching is performed on the original sampling points.

[0033] Table 1: Characteristic Restoration Test Data under Gradient Pressure Conditions

[0034]

[0035] Referring to Table 1, data analysis shows that within the pressure range of 10MPa to 50MPa, the distortion rate of the original waveform increases from 1.56% to 8.85% with increasing ambient pressure. However, this distortion is mitigated by the virtual rolling force operator. After dynamically offsetting the phase hysteresis effect, the final output state vector logical distance Stable within the safety threshold of 0.05; when the pressure increases to 60MPa, the state vector logical distance... The value jumped to 0.186 and triggered an anomaly judgment command. This was because the cable insulation layer under this pressure underwent irreversible deformation, resulting in plastic distortion that exceeded the stiffness compensation boundary of the logical mapping model.

[0036] Example 3: This example combines Figures 1 to 2 A description of a digital evaluation system for the operating parameters of a remote power supply in a marine environment, such as... Figure 1 As shown, the remote transmission channel generates an original electrical signal sequence due to environmental strain interference. At the same time, external environmental parameters generate logical mapping pressure. The running data access module acquires the original electrical signal sequence containing voltage and current samples and outputs a digital sampling sequence to the subsequent stage. The data logic mapping module receives the sequence, maps it into a data stream flow pattern with plastic fluid characteristics, and establishes a model containing virtual roll gap parameters. The feature logic restoration module calculates the logic pressure compensation amount and performs nonlinear reverse stretching processing on the data stream to generate the eigenfunction matrix. Finally, the running status evaluation module performs multi-dimensional feature flatness monitoring and maintains feature topology consistency. Based on the generated logic ratio offset, it outputs running parameter evaluation instructions and determines the load status level.

[0037] like Figure 2As shown, the system performs high-frequency acquisition through the edge sensing gateway to obtain the original electrical signal sequence, and then establishes a logical mapping model and data flow manifold. This process is accompanied by dynamic adjustment of the model stiffness self-calibration mechanism. The data flow undergoes feature logic restoration and nonlinear reverse stretching processing. During this process, a virtual rolling force operator is calculated in parallel to assist in the restoration. The processed data enters the operation status level assessment stage. If it is determined to be an abnormal state, the system triggers the execution of abnormal control response, drives the fault early warning actuator to perform physical control, specifically performing power derating or channel switching actions. At the same time, the operation and maintenance monitoring expert is linked to the insulation degradation step size prediction module and the operation status level assessment module to obtain the corresponding results and realize comprehensive monitoring of the system.

[0038] Example 4: In a remote power supply scenario deployed in a deep-sea hydrothermal vent area where the ambient water temperature fluctuates frequently between 2°C and 45°C due to seafloor crustal activity, the submarine cable transmission medium undergoes non-uniform axial elongation due to severe thermal stress, causing changes in the original electrical signal sequence. Phase drift and amplitude envelope fluctuations occur, causing a non-true drift in the calculation zero point of the digital evaluation system. The data access module then acquires the original electrical signal sequence. The data logic mapping module extracts the original electrical signal sequence. Amplitude envelope variance within a 20ms sliding window ,Will The equivalent viscosity coefficient is mapped to the data stream flow pattern, and the virtual roll gap parameters in the logical mapping model are determined based on the viscosity coefficient. The initial dynamic response gain, and the leakage current sampling signal acquired by the model self-calibration unit. It also performs discrete integration operations with 512 data points to generate virtual thermal stress parameters characterizing the intensity of the thermal stress effect. .

[0039] The system calculates the dynamic compensation amount of the stiffness coefficient according to the formula to eliminate calculation errors. The correction formula for the stiffness coefficient is as follows: ,in, The stiffness coefficients of the corrected logical mapping model; This is the initial stiffness coefficient; This is an adaptive correction factor; For virtual thermal stress parameters, adaptive correction factors The numerical value is based on the formula Confirmed, among which The offline preset reference leakage current integral value of the submarine cable at 20℃; the feature logic restoration module uses the corrected value. Calculate the virtual rolling force operator For the original electrical signal sequence The nonlinear reverse stretching process is performed, and the resulting intrinsic operating characteristic matrix is ​​transmitted to the operating state evaluation module, which then calculates the logical distance between the state vectors over 10 consecutive statistical periods. The second-order time characteristic gradient is calculated. When the second-order time characteristic gradient is greater than the evolution threshold of 0.02 for 500ms, the system determines that the insulation degradation has entered the acceleration period and calculates the corresponding insulation degradation logic step size, and outputs the system maintenance planning instruction.

[0040] Example 5: In a scenario where on-site pre-deployment calibration is performed for a newly built remote power transmission channel with a total length of 100km, the distributed inductance and distributed capacitance parameters of the submarine cable are subject to physical deviations due to batch differences in production. The calibration process is initiated after the submarine cable is laid and the power supply is in an unloaded state. The edge computing gateway sends a 50Hz sinusoidal excitation signal to the channel, and the running data access module acquires 1024 sampling point data and performs spectrum analysis based on fast Fourier transform to calculate the original electrical signal sequence. The impedance modulus at standard atmospheric pressure is used to correct the virtual roll gap parameters in the logic mapping model by reducing the variance between the simulated output value and the measured sampled value. When the fluctuation of the second-order characteristic gradient calculated over five consecutive sampling periods is less than 0.001, the initial stiffness coefficient of the transmission medium is determined. .

[0041] When the deployment environment transitions from shallow to deep sea, the reference leakage current integral value required to determine the model self-calibration unit is determined. The system performs continuous sampling for 60 minutes under full power load operation, and the model self-calibration unit acquires leakage current sampling signals. The sliding window integration operation was performed with an accumulation step size of 512 data points. The resulting series of integral values ​​were then determined after median filtering. This debugging process establishes a digital lookup table reflecting the channel insulation properties, and the operational status assessment module calculates the logical distance of the state vector. It calls the baseline data in the digital lookup table and outputs operation parameter evaluation instructions in different batches of submarine cable deployment environments.

[0042] Example 6: In a scenario where a marine remote power supply comprising three independent parallel power supply modules is initialized with a characteristic reference, due to physical deviations in the output impedance and inductive load distribution of each power supply branch, the system initiates a pre-calibration procedure to construct the logic flatness reference required by the operational status assessment module. The edge computing gateway synchronously acquires the steady-state voltage and current sampling values ​​of each branch at a sampling step of 100ms, and the operational data access module acquires the original electrical signal sequence. and discretize it into a form containing A state vector with feature dimensions, where With a value of 64, the data logic mapping module projects the state vector onto a feature space exhibiting plastic fluid properties, and generates a three-dimensional state topology baseline matrix by calculating the statistical mean of the distribution of feature points within the feature space. Correcting the virtual roll gap parameters in the logical mapping model To make the virtual roll gap parameters Corresponding data processing zero point and three-dimensional state topology reference matrix Their topological geometric centers coincide.

[0043] When the power supply branch is disturbed by distributed load fluctuations caused by the seabed thermocline, the system executes a multidimensional feature smoothness calibration procedure based on discrete difference operators. The multidimensional feature consistency optimization unit extracts the measurement point feature vectors of the width dimension from the intrinsic operating feature matrix. The second-order central difference algorithm is used to calculate the feature vector of the measurement point. The local characteristic curvature is calculated according to the following formula: ,in, It is the second-order characteristic gradient; For the first Feature values ​​of measurement points in each dimension; The logical spacing between adjacent feature dimensions; the runtime evaluation module monitors the second-order feature gradient in real time. The distribution of absolute values ​​and the second-order characteristic gradient. When the maximum value remains within the logic tolerance range of 0.005 for three consecutive sampling periods, the current data stream is determined to meet the geometric fidelity requirement.

[0044] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0045] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A digital evaluation system for the operating parameters of a remote power supply for marine environments, characterized in that, The system includes: The data access module is used to acquire the original electrical signal sequence that characterizes the operating status of the remote transmission channel; The data logic mapping module is used to map the original electrical signal sequence into a data stream manifold with plastic fluid characteristics. The signal envelope distortion caused by external boundary environmental parameters is defined as a logic mapping pressure that acts on the data stream manifold and includes the width dimension. Based on the time-domain non-uniform compression characteristics of the original electrical signal sequence, a logic mapping model including virtual roll gap parameters is established to characterize the characteristic distribution displacement of the original electrical signal sequence during the transmission process of the distributed parameter channel. The feature logic restoration module is used to extract the harmonic component distribution in the original electrical signal sequence and define the harmonic component distribution as the virtual harmful bending moment acting on the logic mapping model. By calculating the logic pressure compensation amount of the corresponding virtual roll gap parameters, the original electrical signal sequence is subjected to nonlinear reverse stretching processing to generate the eigenfunction matrix. The operation status assessment module is used to establish multi-dimensional feature flatness monitoring logic, regress the feature vectors of each dimension in the intrinsic operation feature matrix to the preset logical flatness benchmark, determine the load status level of the remote power supply based on the logical ratio offset of the intrinsic operation feature matrix relative to the logical flatness benchmark, and output operation parameter assessment instructions.

2. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The feature logic restoration module also includes a multi-dimensional feature consistency optimization unit. The multi-dimensional feature consistency optimization unit is used to define voltage, current and each harmonic component as the measurement point feature vector of the data flow manifold in the width dimension, calculate the virtual bending roller force operator to correct the warping of the feature space, and use the virtual bending roller force operator to perform dynamic intervention on the logical weight of the measurement point feature vector to maintain the geometric fidelity of the original electrical signal sequence in the topological space under external non-uniform parameter perturbation.

3. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The data logic mapping module also includes a model self-calibration unit, which is used to acquire channel leakage characteristic components in real time, dynamically correct the stiffness coefficient of the logic mapping model based on the channel leakage characteristic components, and correct the waveform plastic distortion calculation deviation of the original electrical signal sequence by adjusting the deformation resistance parameter of the data stream manifold.

4. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The feature logic restoration module calculates the logic pressure compensation amount through a virtual rolling force operator. The calculation rules for the virtual rolling force operator are as follows: ,in, For virtual rolling force operators, The preset amplitude correction gain coefficient, The preset phase compensation weighting factor, This represents the instantaneous amplitude deviation of the original electrical signal sequence relative to the reference waveform. This represents the real-time phase offset angle of the original electrical signal sequence.

5. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 2, characterized in that, The multidimensional feature consistency optimization unit is used to construct a virtual plate shape distribution matrix of the data flow pattern, and when the second-order feature gradient of the virtual plate shape distribution matrix exceeds a preset threshold, it decouples the pseudo-feature signal caused by channel physical strain from the intrinsic running feature matrix.

6. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The system also includes an edge computing gateway, which has a built-in floating-point unit for performing lightweight gradient operations on the feature logic restoration module, with an operation frequency of no less than 50Hz.

7. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The feature logic restoration module is used to reconstruct the feature correlation matrix at the logic layer and perform logic restoration on the original electrical signal sequence modulated by non-stationary data stream by adjusting the compensation amount of the virtual roll gap parameter in the logic mapping model.

8. The digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The operation status evaluation module is used to perform logic verification based on the time domain distribution law before outputting operation parameter evaluation instructions, so that the energy integral value of the intrinsic operation characteristic matrix in the whole cycle matches the preset intrinsic power curve of the power supply.

9. A digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The system also includes a fault warning actuator, which receives operating parameter evaluation instructions and performs power derating operation of the remote power supply or switches the transmission channel when the load status level is in an abnormal range.

10. A digital evaluation system for the operating parameters of a remote marine power supply according to claim 1, characterized in that, The operational status assessment module records the historical evolution trajectory of load status levels, uses time series regression algorithms to predict the insulation degradation logic step size of the remote transmission channel under the influence of external boundary environmental parameters, and generates system maintenance planning instructions based on the insulation degradation logic step size.

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