Submarine cable landing section current-carrying capacity optimization calculation method and related device

Abstract

The invention relates to the technical field of cables, in particular to a submarine cable landing section current-carrying capacity optimization calculation method and related device.The method comprises the steps that an initial soil heat conductivity coefficient, a soil surface temperature measured value and a first cable parameter of a submarine cable are obtained; performing finite element temperature field simulation calculation on the submarine cable by using the first cable parameter and the initial soil heat conductivity coefficient to obtain a soil surface temperature simulation value; correcting the initial soil heat conductivity coefficient according to a comparison result of an error between the soil surface temperature simulation value and the soil surface temperature actual measurement value and a preset threshold range to obtain a target soil heat conductivity coefficient, obtaining a pre-constructed equivalent thermal circuit model of the submarine cable, and inputting the target soil heat conductivity coefficient into the equivalent thermal circuit model to obtain a thermal circuit model of the submarine cable. The submarine cable landing section current-carrying capacity calculation method solves the technical problem that the current-carrying capacity of the submarine cable landing section is difficult to accurately and efficiently calculate in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of cable technology, and in particular to a method for optimizing and calculating the current carrying capacity of a landing section of a submarine cable and a related device. Background Art

[0002] Submarine cables are widely used in offshore power transmission scenarios, serving as a bridge connecting offshore platforms and land. Submarine cables are laid in harsh environments and have long spans. The transmission capacity of submarine cables varies under different laying environments, with the current carrying capacity of the landing section being much smaller than that of other sections. This means that the current carrying capacity of the landing section limits the transmission capacity of the entire system. Therefore, calculating the current carrying capacity of the landing section is crucial to ensuring the safe and economical operation of the power system.

[0003] However, due to the complex environment of the submarine cable landing section, it is difficult for existing technologies to accurately and efficiently calculate the current carrying capacity of the submarine cable landing section. Summary of the Invention

[0004] The present invention provides a method and related device for optimizing the calculation of the current carrying capacity of a submarine cable landing section, which are used to solve the technical problem that it is difficult to accurately and efficiently calculate the current carrying capacity of a submarine cable landing section in the prior art.

[0005] In one aspect, the present invention provides a method for optimizing the calculation of the current carrying capacity of a submarine cable landing section, comprising:

[0006] S1. Obtaining an initial soil thermal conductivity, a measured value of the soil surface temperature, and a first cable parameter of the submarine cable;

[0007] S2. Performing a finite element temperature field simulation calculation on the submarine cable using the first cable parameters and the initial soil thermal conductivity to obtain a soil surface temperature simulation value;

[0008] S3. Determine whether the error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, output the initial soil thermal conductivity as the target soil thermal conductivity. If not, correct the initial soil thermal conductivity based on the error and a preset adjustment reference value, and jump to S2-S3.

[0009] S4. Obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

[0010] Optionally, the step of obtaining the initial soil thermal conductivity includes:

[0011] Based on the current moment, obtain the first historical environment parameters.

[0012] Inputting the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter prediction value corresponding to the current moment;

[0013] The initial soil thermal conductivity is determined based on the predicted values of the environmental parameters.

[0014] Optionally, the step of constructing the equivalent thermal circuit model includes:

[0015] Based on Fourier's heat transfer law, an initial thermal path equivalent model of the submarine cable is established;

[0016] Obtaining second cable parameters, and calculating, based on the second cable parameters, the DC resistance per unit length of the conductor at the maximum operating temperature of the submarine cable, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath;

[0017] Obtain the cable outer diameter, soil burial depth, and relative temperature difference between the cable core and the cable laying environment;

[0018] The DC resistance per unit length of the conductor at the maximum operating temperature, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the outer diameter of the cable, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment are input into the initial thermal circuit equivalent model to obtain the equivalent thermal circuit model of the submarine cable.

[0019] Optionally, the step of training the environmental parameter prediction model includes:

[0020] obtaining a second historical environmental parameter of the submarine cable;

[0021] Preprocessing the second historical environmental parameter to obtain a data set;

[0022] Divide the dataset into a training set, a validation set, and a test set according to a preset ratio;

[0023] Establish a BIGRU multi-input multi-output model;

[0024] The BIGRU multi-input multi-output model is trained for prediction using the training set, the validation set, and the test set to obtain an environmental parameter prediction model.

[0025] Another aspect of the present invention provides a device for optimizing and calculating the current carrying capacity of a submarine cable landing section, comprising:

[0026] an acquisition module, configured to acquire an initial soil thermal conductivity, a measured value of the soil surface temperature, and a first cable parameter of the submarine cable;

[0027] a simulation calculation module, configured to perform a finite element temperature field simulation calculation on the submarine cable using the first cable parameters and the initial soil thermal conductivity to obtain a soil surface temperature simulation value;

[0028] a correction module, configured to determine whether an error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range; if so, output the initial soil thermal conductivity as a target soil thermal conductivity; if not, correct the initial soil thermal conductivity based on the error and a preset adjustment reference value, and sequentially trigger the simulation calculation module and the correction module;

[0029] The solution module is used to obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

[0030] Optionally, the acquisition module is specifically used to obtain a first historical environmental parameter based on the current moment; input the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter prediction value corresponding to the current moment; and determine the initial soil thermal conductivity coefficient based on the environmental parameter prediction value.

[0031] Optionally, the solution module is specifically used to establish an initial thermal circuit equivalent model of the submarine cable based on Fourier's heat transfer law; obtain second cable parameters, and calculate the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath at the maximum operating temperature of the submarine cable based on the second cable parameters; obtain the cable outer diameter, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment; and input the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the cable outer diameter, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment at the maximum operating temperature into the initial thermal circuit equivalent model to obtain the equivalent thermal circuit model of the submarine cable.

[0032] Optionally, the acquisition module is also used to obtain a second historical environmental parameter of the submarine cable; preprocess the second historical environmental parameter to obtain a data set; divide the data set into a training set, a validation set and a test set according to a preset ratio; establish a BIGRU multi-input multi-output model; use the training set, the validation set and the test set to perform predictive training on the BIGRU multi-input multi-output model to obtain an environmental parameter prediction model.

[0033] Another aspect of the present invention provides an electronic device, the device comprising a processor and a memory;

[0034] The memory is used to store program code and transmit the program code to the processor;

[0035] The processor is configured to execute the method described above according to the instructions in the program code.

[0036] Another aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store program code, and the program code is used to execute the method described above.

[0037] It can be seen from the above technical solutions that the present invention has the following advantages:

[0038] The present invention discloses a method for optimizing the calculation of the current carrying capacity of a submarine cable landing section, comprising:

[0039] S1. Obtain an initial soil thermal conductivity, a measured soil surface temperature, and a first cable parameter of the submarine cable; S2. Perform a finite element temperature field simulation on the submarine cable using the first cable parameter and the initial soil thermal conductivity to obtain a simulated soil surface temperature; S3. Determine whether an error between the simulated soil surface temperature and the measured soil surface temperature is within a preset threshold range; if so, output the initial soil thermal conductivity as a target soil thermal conductivity; if not, correct the initial soil thermal conductivity based on the error and a preset adjustment reference value, and jump to execute S2-S3; S4. Obtain a pre-constructed equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

[0040] In the present invention, an initial soil thermal conductivity, a measured soil surface temperature, and a first cable parameter of a submarine cable are obtained, and a finite element temperature field simulation calculation is performed on the submarine cable using the first cable parameter and the initial soil thermal conductivity to obtain a simulated soil surface temperature value. A determination is then made as to whether an error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, the initial soil thermal conductivity is output as a target soil thermal conductivity. If not, the initial soil thermal conductivity is corrected based on the error and a preset adjustment reference value. The initial thermal conductivity is corrected by iteratively calculating the simulated soil surface temperature value and correcting the initial soil thermal conductivity, thereby improving the accuracy of the soil thermal conductivity and thus improving the calculation accuracy of the landing section ampacity of the submarine cable. Furthermore, a pre-constructed equivalent thermal circuit model of the submarine cable is obtained, and the target soil thermal conductivity is input into the equivalent thermal circuit model to obtain the ampacity of the landing section of the submarine cable, thereby calculating the ampacity of the landing section and improving calculation efficiency.

[0041] Therefore, in the present invention, finite element simulation is used to optimize the soil thermal conductivity, and the current-carrying capacity of the submarine cable landing section is calculated through an equivalent thermal circuit model, thereby improving the calculation efficiency while improving the calculation accuracy, and solving the technical problem that the existing technology is difficult to accurately and efficiently calculate the current-carrying capacity of the submarine cable landing section. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A flowchart of the steps of a method for optimizing the calculation of the current carrying capacity of the landing section of a submarine cable provided in an embodiment of the present invention;

[0044] Figure 2 A schematic diagram of the submarine cable structure provided by an embodiment of the present invention;

[0045] Figure 3 Flowchart of steps for determining initial soil thermal conductivity provided by an embodiment of the present invention

[0046] Figure 4 Schematic diagram of the BIGRU multi-input multi-output model provided by an embodiment of the present invention;

[0047] Figure 5 A schematic diagram of the internal structure of a BIGRU multi-input multi-output model provided in an embodiment of the present invention;

[0048] Figure 6 A schematic flow chart of the steps for constructing an equivalent thermal circuit model provided in an embodiment of the present invention;

[0049] Figure 7 A schematic diagram of the principle of a thermal circuit equivalent model provided in an embodiment of the present invention;

[0050] Figure 8 A schematic diagram of the application flow of a method for optimizing the calculation of the current carrying capacity of a submarine cable landing section provided as an application example of the present invention;

[0051] Figure 9 This is a structural block diagram of a device for optimizing and calculating the current carrying capacity of a submarine cable landing section provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] Currently, the main methods for calculating the current-carrying capacity of submarine cables are analytical and numerical solutions. The analytical solution, also known as the equivalent thermal resistance calculation method, calculates the current-carrying capacity of cables based on the IEC60287 standard developed by the International Electrotechnical Commission (IEC). This method has been widely used in engineering practice. The numerical solution method, on the other hand, uses specific algorithms and procedures to obtain approximate solutions to the problem. It is particularly suitable for analyzing cable temperature fields in complex laying environments. The numerical methods involved include the boundary element method, the difference method, and the finite element method. However, whether analytical or numerical, obtaining the environmental parameters of the submarine cable is a crucial step. In particular, for the landing section of the submarine cable, the environmental parameters of the submarine cable laying periodically change due to the influence of tides. In this context, the evaluation of the current-carrying capacity of the landing section of the submarine cable requires a comprehensive consideration of these factors.

[0053] Existing methods for obtaining environmental parameters for submarine cable laying primarily rely on measurement, which is labor-intensive and resource-intensive, and measurement accuracy is limited by various factors. Analytical and numerical solutions also have their limitations in different fields and problems. Analytical solutions are suitable for simple and straightforward problems, but for complex ones, the solution process can be cumbersome or even impossible, making them unsuitable for all problems. Furthermore, given the complex environmental and soil conditions of submarine cable landing sections, thermal conductivity values are often estimated and inaccurate. Numerical solutions, on the other hand, are suitable for complex, nonlinear, or otherwise intractable problems. While they can calculate accurate temperature values through simulation, they suffer from uncertain convergence, difficulty controlling accuracy, and a high computational load. Currently, research on cable temperature and current-carrying capacity methods primarily focuses on temperature field analysis and current-carrying capacity calculation for AC land cables, primarily based on thermal circuit analysis or numerical temperature field calculations according to the IEC-60287 standard. Limited research has examined the various environmental factors affecting the laying of ultra-high voltage submarine cables. Furthermore, the highly variable environmental parameters of submarine cable laying do not fully conform to the IEC-60287 standard.

[0054] Existing methods for calculating the current carrying capacity of submarine cables include patent applications CN202311011304.3, CN202310423513.2, CN202310686548.5, CN202310447392.5, CN202111572983.2, CN201711221779.X, CN202010072838.7, CN201310615883.2, and CN201510085366.8. Patent application CN202310423513.2, based on an equivalent thermal path model, considers the heat transfer characteristics of the submarine cable installation environment and incorporates the thermal resistance of seawater, the thermal resistance of sediment, and the convective heat transfer of seawater, thus being closer to reality and improving the accuracy of current carrying capacity calculation. However, it requires accurate environmental data, such as the thermal resistivity of seawater and sediments, and model parameters may need to be adjusted for different environments and laying conditions. At the same time, its applicability under extreme environmental conditions still needs further verification. Patent application number CN202010072838.7 relates to a method for simulating the current carrying capacity and temperature of high-voltage AC submarine cables. The process of calculating the current carrying capacity is to first obtain the conductor temperature value through a multi-physics field coupling simulation method, and then use the Newton-Raphson iteration method to simulate the current carrying capacity of the submarine cable after obtaining the temperature value. Its advantage is that it uses a multi-physics field simulation method and is suitable for complex submarine environments, but the simulation process may be more complicated, requiring professional simulation software and high computing power, and consuming a lot of time and computing costs. Patent application number CN201711221779.X realizes the hybrid programming of C# programming language and COMSOL simulation software. Through seamless connection, it reduces the user's learning cost and usage cost of calculating the cable current carrying capacity using the finite element method, and realizes an automated current carrying capacity calculation process. However, in a hybrid programming environment, error handling can become more complex. Ensuring system stability and reliability requires a strategy for handling exceptions and errors that may occur during COMSOL simulations. Hybrid programming increases code complexity, making development and maintenance more difficult and requiring a high level of developer skill. With updates to C# and COMSOL, the hybrid programming interface requires continuous maintenance and updates to maintain software compatibility and functionality. In a hybrid programming environment, special attention must be paid to data and code security to prevent potential security vulnerabilities.

[0055] In order to improve the low accuracy and low efficiency of the above existing current carrying capacity calculation methods,

[0056] The present invention provides a method for optimizing the calculation of the current carrying capacity of the landing section of a submarine cable and a related device. Specifically, the present invention utilizes the periodicity of changes in the submarine cable laying environment to construct an environmental parameter prediction model for predicting environmental parameters, which can solve the problem of difficulty in obtaining environmental parameters of submarine cables. The finite element method is used to correct the soil thermal conductivity coefficient, which solves the problem that the traditional equivalent thermal path method is not accurate enough in taking the value of the soil thermal conductivity coefficient, resulting in insufficient accuracy of the final current carrying capacity calculation result, and greatly improves the accuracy of the submarine cable current carrying capacity calculation. At the same time, compared with the numerical method for calculating the submarine cable current carrying capacity, this method can greatly improve the calculation efficiency, the process is simple, and it is suitable for most power practitioners to use. The present invention improves the accuracy and efficiency of the calculation of the submarine cable current carrying capacity, has important significance for the calculation of the submarine cable current carrying capacity, and can provide a reference for relevant departments and the design and laying of submarine cables.

[0057] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 The present invention provides a method for optimizing the calculation of the current carrying capacity of the landing section of a submarine cable, comprising:

[0059] S1. Obtaining the initial soil thermal conductivity, the measured value of the soil surface temperature, and the first cable parameter of the submarine cable.

[0060] It should be noted that there is a certain correspondence between the soil thermal conductivity and the environmental parameters of the submarine cable. Using this correspondence, the corresponding soil thermal conductivity can be determined and used as the initial soil thermal conductivity. The measured soil surface temperature refers to the soil surface temperature outside the submarine cable at the current moment. The first cable parameters of the submarine cable include cable structural parameters and cable operation data. Environmental parameters include surface temperature, wind speed, soil moisture, and soil surface temperature.

[0061] The cable structural parameters include nominal cross-section, water-blocking conductor diameter, insulation thickness, etc., which can be obtained by looking up the table. The cable operating data includes current.

[0062] In one example, the structure of the submarine cable is as follows Figure 2As shown, its structure includes: water-blocking conductor 1, conductor shield 2, XLPE insulation 3, insulation shield 4, semi-conductive water-blocking tape 5, alloy lead sheath 6, PE sheath 7, optical fiber unit 8, filling 9, wrapping tape 10, PP inner cushion layer 11, armored steel wire and asphalt 12, and PP outer layer 13.

[0063] The structural parameters of the submarine cable are shown in Table 1.

[0064] Table 1 Submarine cable structural parameters

[0065]

[0066] S2. Using the first cable parameter and the initial soil thermal conductivity, perform finite element temperature field simulation calculation on the submarine cable to obtain a soil surface temperature simulation value.

[0067] It should be noted that by constructing a finite element temperature field simulation model of the submarine cable, the first cable parameters and the initial soil thermal conductivity are used as the input of the simulation model. The simulation model outputs the temperature field distribution of the submarine cable and its surrounding environment. Based on the obtained temperature field distribution, the soil surface temperature simulation value can be determined.

[0068] It can be understood that the finite element temperature field simulation model in this embodiment includes the simulation of multiple physical fields.

[0069] S3. Determine whether the error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, output the initial soil thermal conductivity as the target soil thermal conductivity. If not, correct the initial soil thermal conductivity based on the error and the preset adjustment reference value, and jump to execute S2-S3.

[0070] It should be noted that when the error between the simulated soil surface temperature value and the measured soil surface temperature value is within the preset threshold range, it means that the initial soil thermal conductivity input at this time meets the error standard. Therefore, the initial soil thermal conductivity that meets the error standard is output as the target soil thermal conductivity to complete the correction of the initial soil thermal conductivity.

[0071] When the error between the simulated soil surface temperature value and the measured soil surface temperature value is not within the preset threshold range, it indicates that the accuracy of the initial soil thermal conductivity is low. At this time, the initial soil thermal conductivity is corrected according to the error and the preset adjustment reference value, and the corrected initial soil thermal conductivity is input into the finite element temperature field simulation model, and a new simulated soil surface temperature value is output. Based on the comparison result of the error between the new simulated soil surface temperature value and the measured soil surface temperature value and the preset threshold range, it is determined whether the correction of the initial soil thermal conductivity is completed.

[0072] In one embodiment, the step of correcting the initial soil thermal conductivity based on the error and a preset adjustment reference value may include: when the error is positive, subtracting the adjustment reference value from the initial soil thermal conductivity to obtain a corrected initial soil thermal conductivity; and when the error is negative, adding the adjustment reference value to the initial soil thermal conductivity to obtain a corrected initial soil thermal conductivity.

[0073] In another embodiment, the adjustment reference value can also be updated according to the change of the error. For example, when the positive or negative condition of the error changes, half of the adjustment reference value is used as the new adjustment reference value, and based on the new adjustment reference value, the initial soil thermal conductivity is adjusted in direction, so that the initial soil thermal conductivity that meets the error standard can be found more quickly and accurately as the target soil thermal conductivity.

[0074] S4. Obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

[0075] It should be noted that a pre-built equivalent thermal circuit model for the submarine cable contains a mapping between the soil thermal conductivity and the current carrying capacity of the submarine cable landing section. Therefore, in this embodiment, the target soil thermal conductivity is input into the pre-built equivalent thermal circuit model and then the current carrying capacity of the submarine cable landing section is obtained by solving the model.

[0076] In this embodiment, an initial soil thermal conductivity, a measured soil surface temperature, and a first cable parameter of the submarine cable are obtained, and a finite element temperature field simulation calculation is performed on the submarine cable using the first cable parameter and the initial soil thermal conductivity to obtain a simulated soil surface temperature value. A determination is then made as to whether the error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, the initial soil thermal conductivity is output as a target soil thermal conductivity. If not, the initial soil thermal conductivity is corrected based on the error and a preset adjustment reference value. The initial thermal conductivity is corrected by iteratively calculating the simulated soil surface temperature value and correcting the initial soil thermal conductivity, thereby improving the accuracy of the soil thermal conductivity and thus the calculation accuracy of the landing section ampacity of the submarine cable. Furthermore, a pre-constructed equivalent thermal circuit model of the submarine cable is obtained, and the target soil thermal conductivity is input into the equivalent thermal circuit model to obtain the ampacity of the landing section of the submarine cable. This allows calculation of the landing section ampacity and improves computational efficiency.

[0077] Therefore, in this embodiment, only the soil thermal conductivity coefficient needs to be optimized using finite element simulation, and the calculation steps of the current carrying capacity are completed through the equivalent thermal circuit model. This improves the calculation efficiency while improving the calculation accuracy, and solves the technical problem that the existing technology is difficult to accurately and efficiently calculate the current carrying capacity of the submarine cable landing section.

[0078] In a specific embodiment, see Figure 3 The steps for obtaining the initial soil thermal conductivity in step S1 include:

[0079] S11, taking the current moment as a reference, obtaining the first historical environment parameter,

[0080] It should be noted that the current moment refers to the moment when the data acquisition action is executed. The first historical environmental parameter refers to the historical value of the environmental parameter before the current moment. The first historical environmental parameter includes the first historical surface temperature, the first historical wind speed, the first historical soil moisture, and the first historical soil surface temperature.

[0081] In one example, the first historical environmental parameter may be a predicted value output by an environmental parameter prediction model before the current moment, and / or an actual value of the environmental parameter measured in the past.

[0082] S12: Input the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter value corresponding to the current moment.

[0083] It should be noted that the environmental parameter prediction model is a pre-built, multi-input, multi-output model trained using a machine learning algorithm. It is used to predict environmental parameters at a specific point in time. In this step, the first historical environmental parameter acquired is input into the environmental parameter prediction model, which is then run to output the predicted environmental parameter value corresponding to the current moment.

[0084] In one embodiment, the training step of the environmental parameter prediction model includes:

[0085] S121. Obtain a second historical environmental parameter of the submarine cable;

[0086] It should be noted that the second historical environmental parameter refers to an environmental parameter measured in the past.

[0087] In one example, before building the environmental parameter prediction model, the environmental parameters of the submarine cable may be monitored for a period of time and the measured environmental parameters may be stored. When building the environmental parameter prediction model, the environmental parameters are the second historical environmental parameters.

[0088] S122, preprocessing the second historical environmental parameter to obtain a data set;

[0089] It should be noted that the preprocessing includes cleaning, formatting and feature extraction. This step cleans the second historical parameters, formats the cleaned second historical environment parameters, and extracts features from the formatted second historical environment parameters to obtain a data set for training.

[0090] S123. Divide the data set into a training set, a validation set, and a test set according to a preset ratio.

[0091] It should be noted that this step divides the dataset into a training set, a validation set, and a test set according to a preset ratio. The training set is used to train and adjust the model parameters of the environmental prediction model, while the validation set is used to fine-tune the model and assess overfitting, and to determine when to stop training the environmental parameter prediction model. The test set is used to evaluate the generalization capability of the trained environmental prediction model.

[0092] In one example, the preset ratio may be 8:1:1. By dividing the data set based on this ratio, an environmental parameter prediction model with good prediction effect may be obtained.

[0093] S124. Establish a BIGRU multi-input multi-output model;

[0094] It should be noted that the BIGRU multi-input and multi-output model is Figure 4 and Figure 5 As shown, it includes multiple input layers, and each input layer is connected to each output layer through a connection layer.

[0095] The mathematical expressions of the BIGRU multi-input multi-output model are shown in formulas (1) to (3).

[0096] (1)

[0097] (2)

[0098] (3)

[0099] Where c represents the implicit information at time t; s represents the neuron activation value at time t, and the arrow represents the propagation direction; , which means the hidden layer output weight of the forward GRU at time t; , which means the hidden layer output weight of the reverse GRU at time t; It represents the state of the hidden layer at time t corresponding to the bias.

[0100] S125. Use the training set, validation set, and test set to perform prediction training on the BIGRU multi-input multi-output model to obtain an environmental parameter prediction model.

[0101] It should be noted that the BIGRU multi-input multi-output model is first trained using the training set to optimize the model parameters, and the validation set is used to tune the multi-input multi-output model to finally obtain the trained model. The test set is then used to evaluate the generalization ability of the trained model to determine the prediction effect of the model, and finally the environmental parameter prediction model is obtained.

[0102] It is understandable that S124 and S121 can be performed simultaneously or sequentially. When performed sequentially, the order can be set according to actual needs. This embodiment takes S121 performed first and then S124 as an example.

[0103] S13. Determine the initial soil thermal conductivity based on the predicted values of the environmental parameters.

[0104] It should be noted that the environmental parameter prediction values include the surface temperature prediction value, wind speed prediction value, soil moisture prediction value, and soil surface temperature prediction value corresponding to the current moment.

[0105] Because there is a certain correspondence between the surface temperature, wind speed, soil moisture, soil surface temperature, and soil thermal conductivity, a table is used to obtain a soil thermal conductivity close to the predicted values of these environmental parameters based on this approximate correspondence and the current predicted values of the surface temperature, wind speed, soil moisture, and soil surface temperature. This soil thermal conductivity is then used as the initial soil thermal conductivity. The initial soil thermal conductivity may not be very accurate at this point, but after correction in steps S2 and S3, it will achieve high accuracy.

[0106] This embodiment pre-constructs and trains an environmental parameter prediction model, uses this environmental parameter prediction model and first historical environmental parameters to predict the environmental parameter prediction value corresponding to the current moment, and then initializes the soil thermal conductivity at the current moment using the environmental parameter prediction value to obtain an initial soil thermal conductivity. Subsequently, during the correction process, the accuracy of the initial soil thermal conductivity is determined using the real-time measured soil surface temperature and the simulated soil surface temperature obtained by simulation, thereby correcting the low-precision initial soil thermal conductivity and obtaining a high-precision target soil thermal conductivity. Therefore, in practical applications, when performing real-time data monitoring, this embodiment only needs to monitor the soil surface temperature to obtain a high-precision target soil thermal conductivity, thereby improving the accuracy of the soil thermal conductivity while effectively saving monitoring costs.

[0107] In addition, this embodiment optimizes the soil thermal conductivity through finite element simulation to obtain the target soil thermal conductivity, and uses the target soil thermal conductivity to calculate the current carrying capacity of the submarine cable landing section. This avoids the low calculation accuracy caused by insufficient soil thermal conductivity value in the traditional equivalent thermal path method, and improves the calculation accuracy of the current carrying capacity.

[0108] In one embodiment, see Figure 6 , the steps of constructing the equivalent thermal circuit model in step S4 include:

[0109] S41. Based on Fourier's heat transfer law, an initial thermal path equivalent model of the submarine cable is established.

[0110] It should be noted that the establishment principle of this step is as follows:

[0111] In submarine cables, energy is transferred from the hot part to the cold part. This can be expressed according to Fourier's law as follows:

[0112] (4)

[0113] Where, is the thermal conductivity, which is an inherent property of the material and its unit is .

[0114] Considering the cable structure as a cylindrical wall structure, the heat conduction differential equation can be written as:

[0115] (5)

[0116] Set the boundary conditions as follows:

[0117] (6)

[0118] (7)

[0119] Where r1 is the inner diameter of the cable insulation, r2 is the outer diameter of the cable insulation, θ1 is the inner surface temperature of the cable insulation, and θ2 is the outer surface temperature of the cable insulation.

[0120] Among them, the cable temperature distribution can be obtained by calculation as follows:

[0121] (8)

[0122] Substituting into formula (5), we can get:

[0123] (9)

[0124] Based on the above formula, the calculation formula for the thermal resistance of the conductor is as follows:

[0125] (10)

[0126] According to the above thermodynamic principles, a thermal circuit equivalent model for calculating the current carrying capacity of submarine cables is established. The specific model is as follows: Figure 7 As shown, its expression for temperature is as follows:

[0127] (11)

[0128] Where W d is the insulation loss; T1 represents the thermal resistance per unit length between a conductor and a metal sheath, in units of ; T2 represents the thermal resistance per unit length of the lining layer between the metal sheath and the armor, in units of , T3 cable outer sheath unit length thermal resistance, unit is ; T4 represents the thermal resistance per unit length between the cable surface and the surrounding medium, in units of ; is the relative temperature difference between the cable core and the cable laying environment; I is the current carrying capacity of the submarine landing cable. Among them, the insulation loss W d One part is stored in the submarine cable, and the other part is dissipated as heat through the insulation layer. The value is 0.5W. d .

[0129] Based on formula (11), the calculation formula of I is as follows:

[0130] (12)

[0131] In actual engineering, formula (11) can be converted into the following expression:

[0132] (13)

[0133] Where: Indicates the current flowing through a conductor, that is, the current carrying capacity, the unit is A; Indicates the relative temperature difference between the cable core and the cable laying environment, in K;

[0134] Indicates the leakage current loss per unit length of conductor insulation, W / m; Indicates the number of conductors in the cable that carry the load (conductors with equal cross-sections have the same load); It indicates the DC resistance per unit length of the core conductor at the maximum long-term allowable temperature, Ω / m.

[0135] S42. Obtain second cable parameters, and calculate, based on the second cable parameters, the DC resistance per unit length of the conductor at the maximum operating temperature of the submarine cable, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath.

[0136] It should be noted that the second cable parameters include the DC resistance of the conductor at 20°C, the constant mass temperature coefficient of the material at 20°C, the maximum operating temperature in degrees Celsius, the rated voltage of the submarine cable, the insulation resistivity per unit length, the cable conductor diameter, the cable insulation thickness, the thermal resistivity of the insulation material, the insulation thickness between the conductor and the metal sheath, the conductor diameter, the lining thickness, the average outer diameter of the metal sheath, the thermal resistivity of the fiber material, the outer sheath thickness, and the outer diameter of the armor. It is understood that the second cable parameters can be obtained by looking up the table.

[0137] This step calculates the DC resistance per unit length of the conductor at the highest operating temperature based on the DC resistance of the conductor at 20°C, the constant mass temperature coefficient of the material at 20°C, and the maximum operating temperature in degrees Celsius. The calculation formula is shown in formula (14):

[0138] (14)

[0139] Where, Indicates the DC resistance of the conductor at 20°C, in units of ; Indicates the constant mass temperature coefficient of the material at 20°C; Indicates the maximum operating temperature in degrees Celsius.

[0140] This step calculates the leakage current loss per unit length based on the rated voltage of the submarine cable, the insulation resistivity per unit length, the cable conductor diameter, and the cable insulation thickness. d The calculation formula is shown in formula (15):

[0141] (15)

[0142] Where R i Indicates the insulation resistance per unit length in units of ; U0 represents the rated voltage of the submarine cable, in kV;

[0143] Among them, the insulation resistance per unit length R i The calculation formula is shown in formula (16):

[0144] (16)

[0145] Where, Indicates the insulation resistivity per unit length, in Ω·m; Indicates the cable conductor diameter in mm; Indicates the cable insulation thickness in mm.

[0146] This step calculates the thermal resistance between the cable conductor and the metal sheath based on the thermal resistivity of the insulation material, the insulation thickness between the conductor and the metal sheath, and the conductor diameter. The calculation formula for the thermal resistance T1 between the cable conductor and the metal sheath is shown in Equation (17):

[0147] (17)

[0148] Where, Indicates the thermal resistance coefficient of the insulation material, in units of ; Indicates the insulation thickness between the conductor and the metal sheath, in mm; Indicates the conductor diameter in mm.

[0149] In this step, the thermal resistance between the metal sleeve and the armor is calculated based on the lining thickness and the average outer diameter of the metal sleeve. The calculation formula for the thermal resistance T2 between the metal sleeve and the armor is shown in formula (18):

[0150] (18)

[0151] Where, Indicates the thickness of the lining, in mm; Indicates the average outer diameter of the metal sleeve, in mm.

[0152] This step calculates the thermal resistance of the outer sheath based on the thermal resistance coefficient of the fiber material, the thickness of the outer sheath, and the outer diameter of the armor. The calculation formula for the thermal resistance T3 of the outer sheath is shown in formula (19):

[0153] (19)

[0154] Where, ρ T Indicates the thermal resistance coefficient of fiber material; Indicates the thickness of the outer sheath, in mm; Indicates the outer diameter of the armor in mm. In one example, ρ T Typically 6.0 .

[0155] S43, obtaining the outer diameter of the cable, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment;

[0156] It should be noted that the cable outer diameter can be obtained by looking up the table, and the soil burial depth can be measured in advance.

[0157] The relative temperature difference between the cable core and the cable installation environment can be calculated by subtracting the ambient temperature from the cable core temperature. The ambient temperature refers to the temperature of the medium surrounding the cable under normal conditions and can be directly measured. The cable core temperature defaults to the rated withstand temperature of cross-linked polyethylene (XLPE) as specified in the IEC standard, which can be obtained by looking up the table.

[0158] It can be understood that S43 and S42 can be performed simultaneously or sequentially. When performed sequentially, the order can be set according to actual needs. The present embodiment takes performing S42 and S43 sequentially as an example.

[0159] S44. Input the DC resistance per unit length of the conductor at the highest operating temperature, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the outer diameter of the cable, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment into the initial thermal circuit equivalent model to obtain the equivalent thermal circuit model of the submarine cable.

[0160] It should be noted that the calculation formula of the thermal resistance T4 per unit length between the cable surface and the surrounding medium in the equivalent thermal circuit model is as follows (20):

[0161] (20)

[0162] Where, Indicates the outer diameter of the cable, in meters; It represents the thermal conductivity of soil in units of ; L3 represents the soil burial depth (which can be directly measured), in mm.

[0163] In this step, the DC resistance per unit length of the conductor at the highest operating temperature is , leakage current loss per unit length , thermal resistance T1 between cable conductor and metal sheath, thermal resistance T2 between metal sheath and armor, thermal resistance T3 of outer sheath, relative temperature difference between cable core and cable laying environment Substitute into formula (13), and substitute the cable outer diameter and soil burial depth into formula (20), so that formula (13) is converted into a model with soil thermal conductivity as the dependent variable and the current carrying capacity of the submarine cable landing section as the independent variable. This model is the final equivalent thermal circuit model obtained in this step.

[0164] When executing step S4, after obtaining the above-mentioned equivalent model, the target soil thermal conductivity is input into the model to obtain the corrected thermal resistance per unit length T4 between the cable surface and the surrounding medium, and then the current carrying capacity I of the submarine cable landing section is calculated.

[0165] It can be understood that when the target soil thermal conductivity is input, It represents the thermal conductivity of the target soil.

[0166] Therefore, in this embodiment, the target soil thermal conductivity is obtained by correcting the initial soil thermal conductivity, and the thermal resistance per unit length between the cable surface and the surrounding medium is corrected according to the target soil thermal conductivity to obtain the corrected thermal resistance per unit length between the cable surface and the surrounding medium. The current carrying capacity of the landing section of the submarine cable is then obtained, thereby improving the calculation efficiency and accuracy of the current carrying capacity of the landing section of the submarine cable.

[0167] In an application example, see Figure 8 In actual application, the process of the method for optimizing the current carrying capacity of the landing section of a submarine cable provided by the present invention may include: 101. Establishing a prediction model based on the BIGRU algorithm and initializing the soil thermal conductivity; 102. Correcting the soil thermal conductivity using finite element simulation; 103. Establishing an equivalent thermal circuit model; 104. Calculating and outputting the current carrying capacity.

[0168] In step 101, the following steps are performed: obtaining historical environmental monitoring data (surface temperature, wind speed, soil moisture, soil surface temperature), data preprocessing, BIGRU prediction model training, data fusion, outputting prediction results, and initializing soil thermal conductivity.

[0169] In step 102, the cable structural parameters, cable operation data, and initialized soil thermal conductivity are input into the submarine cable finite element temperature simulation model. It is determined whether the error between the calculated value (i.e., the simulated soil surface temperature value) and the measured value (i.e., the measured soil surface temperature value) output by the submarine cable finite element temperature simulation model meets the error tolerance requirement (i.e., whether it is within a preset threshold range). If so, the corrected soil thermal conductivity is output to calculate the current carrying capacity; if not, the soil thermal conductivity is re-corrected.

[0170] In steps 103 and 104, the thermal conduction differential equation of the submarine cable is established, boundary conditions are set, an equivalent thermal circuit model is established, initial values for current carrying capacity calculation are input (i.e., the DC resistance per unit length of the conductor at the highest operating temperature, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the outer diameter of the cable, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment), current carrying capacity is calculated, and the results are output.

[0171] The present invention provides a method for optimizing the current carrying capacity of a submarine cable landing section. Based on the BIGRU algorithm, historical environmental monitoring data is used to predict environmental parameters of the submarine cable landing section, thereby initializing the soil thermal conductivity. Compared to field measurements, this method can effectively save monitoring costs while ensuring accuracy. Furthermore, the present invention optimizes the soil thermal conductivity using finite element simulation and then calculates the current carrying capacity using the optimized soil thermal conductivity, thus resolving the problem of low calculation accuracy caused by insufficient soil thermal conductivity values obtained using the traditional equivalent thermal path method. Furthermore, the present invention combines finite element simulation with the equivalent thermal path method to calculate the current carrying capacity of submarine cables. Only the finite element simulation method is required to optimize the soil thermal conductivity, while the remaining current carrying capacity calculation steps are completed using the equivalent thermal path method. This significantly improves computational efficiency while ensuring computational accuracy. This method addresses the problems of uncertain convergence, difficulty in precision control, and high computational complexity associated with traditional current carrying capacity calculation methods, which rely on simulation software to establish a multi-physics coupled simulation model of submarine cables based on electromagnetic fields, heat transfer fields, and fluid fields to solve the current carrying capacity of submarine cables. This method significantly improves the accuracy of submarine cable current carrying capacity calculations. At the same time, compared with the numerical method for calculating the current-carrying capacity of submarine cables, this method can greatly improve the calculation efficiency, the process is simple, and it is suitable for most power practitioners to use.

[0172] See Figure 9 An embodiment of the present invention provides a device for optimizing and calculating the current carrying capacity of a submarine cable landing section, comprising:

[0173] An acquisition module 901 is configured to acquire an initial soil thermal conductivity, a measured value of soil surface temperature, and a first cable parameter of a submarine cable;

[0174] A simulation calculation module 902 is configured to perform a finite element temperature field simulation calculation on the submarine cable using the first cable parameter and the initial soil thermal conductivity to obtain a soil surface temperature simulation value;

[0175] Correction module 903 is used to determine whether the error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, the initial soil thermal conductivity is output as the target soil thermal conductivity. If not, the initial soil thermal conductivity is corrected based on the error and a preset adjustment reference value, and the simulation calculation module and the correction module are triggered in sequence.

[0176] The solution module 904 is used to obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

[0177] In a specific embodiment, the acquisition module 901 is specifically used to obtain a first historical environmental parameter based on the current moment; input the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter prediction value corresponding to the current moment; and determine the initial soil thermal conductivity coefficient based on the environmental parameter prediction value.

[0178] In a specific embodiment, the solution module 904 is specifically configured to establish an initial thermal circuit equivalent model of the submarine cable based on Fourier's heat transfer law; obtain second cable parameters, and calculate the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath at the maximum operating temperature of the submarine cable based on the second cable parameters; obtain the cable outer diameter, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment; and input the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the cable outer diameter, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment at the maximum operating temperature into the initial thermal circuit equivalent model to obtain an equivalent thermal circuit model of the submarine cable.

[0179] In a specific embodiment, the acquisition module 901 is also used to obtain a second historical environmental parameter of the submarine cable; preprocess the second historical environmental parameter to obtain a data set; divide the data set into a training set, a validation set, and a test set according to a preset ratio; establish a BIGRU multi-input multi-output model; use the training set, the validation set, and the test set to perform prediction training on the BIGRU multi-input multi-output model to obtain an environmental parameter prediction model.

[0180] The present invention also provides an electronic device, the device including a processor and a memory;

[0181] The memory is used to store program codes and transmit the program codes to the processor;

[0182] The processor is configured to execute the method of the above embodiment according to the instructions in the program code.

[0183] The present invention also provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the method of the above embodiment.

[0184] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0185] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0186] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0187] In addition, the functional units in various embodiments of the present invention may be integrated into a single processing unit, or each functional unit may exist as a separate physical unit, or two or more functional units may be integrated into a single processing unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0188] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0189] The terms "first," "second," "third," "fourth," and the like (if any) in the specification of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the application described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or apparatus.

[0190] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for optimizing the calculation of the current carrying capacity of the landing section of a submarine cable, characterized in that: include: S1. Obtaining an initial soil thermal conductivity, a measured value of the soil surface temperature, and a first cable parameter of the submarine cable; S2. Performing a finite element temperature field simulation calculation on the submarine cable using the first cable parameters and the initial soil thermal conductivity to obtain a soil surface temperature simulation value; S3. Determine whether the error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range. If so, output the initial soil thermal conductivity as the target soil thermal conductivity. If not, correct the initial soil thermal conductivity based on the error and a preset adjustment reference value, and jump to S2-S3. S4. Obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

2. The method according to claim 1, characterized in that The steps of obtaining the initial soil thermal conductivity include: Based on the current moment, obtain the first historical environment parameters. Inputting the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter prediction value corresponding to the current moment; The initial soil thermal conductivity is determined based on the predicted values of the environmental parameters.

3. The method according to claim 1, characterized in that The steps of constructing the equivalent thermal circuit model include: Based on Fourier's heat transfer law, an initial thermal path equivalent model of the submarine cable is established; Obtaining second cable parameters, and calculating, based on the second cable parameters, the DC resistance per unit length of the conductor at the maximum operating temperature of the submarine cable, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath; Obtain the cable outer diameter, soil burial depth, and relative temperature difference between the cable core and the cable laying environment; The DC resistance per unit length of the conductor at the maximum operating temperature, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath, the outer diameter of the cable, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment are input into the initial thermal circuit equivalent model to obtain the equivalent thermal circuit model of the submarine cable.

4. The method according to claim 2, characterized in that The training steps of the environmental parameter prediction model include: obtaining a second historical environmental parameter of the submarine cable; Preprocessing the second historical environmental parameter to obtain a data set; Divide the dataset into a training set, a validation set, and a test set according to a preset ratio; Establish a BIGRU multi-input multi-output model; The BIGRU multi-input multi-output model is trained for prediction using the training set, the validation set, and the test set to obtain an environmental parameter prediction model.

5. A device for optimizing and calculating the current carrying capacity of a submarine cable landing section, characterized in that: include: an acquisition module, configured to acquire an initial soil thermal conductivity, a measured value of the soil surface temperature, and a first cable parameter of the submarine cable; a simulation calculation module, configured to perform a finite element temperature field simulation calculation on the submarine cable using the first cable parameters and the initial soil thermal conductivity to obtain a soil surface temperature simulation value; a correction module, configured to determine whether an error between the simulated soil surface temperature value and the measured soil surface temperature value is within a preset threshold range; if so, output the initial soil thermal conductivity as a target soil thermal conductivity; if not, correct the initial soil thermal conductivity based on the error and a preset adjustment reference value, and sequentially trigger the simulation calculation module and the correction module; The solution module is used to obtain a pre-built equivalent thermal circuit model of the submarine cable, input the target soil thermal conductivity into the equivalent thermal circuit model, and solve to obtain the current carrying capacity of the landing section of the submarine cable.

6. The device according to claim 5, characterized in that The acquisition module is specifically used to obtain a first historical environmental parameter based on the current moment; input the first historical environmental parameter into a pre-trained environmental parameter prediction model to predict the environmental parameter prediction value corresponding to the current moment; and determine the initial soil thermal conductivity based on the environmental parameter prediction value.

7. The device according to claim 5, characterized in that The solution module is specifically configured to establish an initial thermal circuit equivalent model of the submarine cable based on Fourier's heat transfer law; obtain second cable parameters, and calculate, based on the second cable parameters, the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, and the thermal resistance of the outer sheath at the maximum operating temperature of the submarine cable; obtain the cable outer diameter, the soil burial depth, and the relative temperature difference between the cable core and the cable laying environment; and input the DC resistance per unit length of the conductor, the leakage current loss per unit length, the thermal resistance between the cable conductor and the metal sheath, the thermal resistance between the metal sheath and the armor, the thermal resistance of the outer sheath at the maximum operating temperature into the initial thermal circuit equivalent model to obtain the equivalent thermal circuit model of the submarine cable.

8. The device according to claim 6, characterized in that The acquisition module is also used to obtain a second historical environmental parameter of the submarine cable; preprocess the second historical environmental parameter to obtain a data set; divide the data set into a training set, a validation set and a test set according to a preset ratio; establish a BIGRU multi-input multi-output model; use the training set, the validation set and the test set to perform prediction training on the BIGRU multi-input multi-output model to obtain an environmental parameter prediction model.

9. An electronic device, characterized in that: The device includes a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the method according to any one of claims 1 to 4 according to instructions in the program code.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute the method according to any one of claims 1 to 4.

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