Underground cable operation environment parameter prediction method, device, equipment and medium

Abstract

This invention relates to a method, apparatus, equipment, and medium for predicting the operating environment parameters of underground cables. The method includes: acquiring construction characteristic information and operating condition information of underground cables to generate a simulation parameter set; constructing a multiphysics coupled simulation model based on the simulation parameter set and a preset electro-thermal-humidity three-dimensional transient model; generating a parameter input table based on the simulation parameter set and establishing a binding mapping between the parameter input table and the model parameters of the simulation model, thereby triggering the simulation model to perform coupled solution and obtain simulation result data; determining the cable operating environment parameters based on the simulation parameter set and simulation result data, feeding the simulation result data back to the parameter input table, extracting key results to generate an engineering visualization output of the operating environment parameters; calculating the aging coefficient and inverting the insulation dielectric loss parameters based on the simulation result data to obtain the evaluation results and correlate them with the engineering visualization output. This invention improves engineering visualization.

Description

Technical Field

[0001] This invention belongs to the technical field of underground cable operation status assessment, and in particular relates to a method, device, equipment and medium for predicting the operating environment parameters of underground cables. Background Technology

[0002] Currently, underground cables are widely used in urban power distribution and industrial park power supply scenarios. The cables operate in soil and other media environments for a long time. The temperature and humidity of the surrounding environment fluctuate with the season, weather conditions and laying structure. The construction characteristics and operating conditions are significantly different. On-site engineering usually requires assessment and recording of the operating environment parameters around the cable based on the actual operating conditions within a limited time.

[0003] Existing methods for evaluating operating environment parameters often rely on professionals to perform engineering calculations or simulation analysis in dedicated environments. The process of organizing input parameters and configuring model parameters is complex, and the connection between the results data and engineering displays is not close. This leads to unclear correspondence between on-site operating condition adjustments and calculation outputs, making it difficult to generate visual results that can be directly used for engineering interpretation and comparison. Summary of the Invention

[0004] The purpose of this invention is to provide a method, device, equipment, and medium for predicting the operating environment parameters of underground cables, in order to solve the technical problem that existing methods, due to the weak correlation between parameter organization and calculation output, make it difficult to provide general practitioners with directly interpretable assessment results of operating environment parameters in a portable engineering visualization manner.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for predicting environmental parameters of underground cables, the method comprising: Obtain construction characteristic information and operating condition information of underground cables, and generate a set of simulation parameters; A multiphysics coupled simulation model is constructed based on the set of simulation parameters and the preset three-dimensional transient model of electro-thermal-humidity multiphysics field; A parameter input table is generated based on the simulation parameter set, and a binding mapping is established between the parameter input table and the model parameters of the multiphysics coupling simulation model. The multiphysics coupling simulation model is then triggered to perform coupled solution according to the binding mapping to obtain simulation result data. Based on the set of simulation parameters and the simulation result data, the operating environment parameters of the underground cable are determined, the simulation result data is sent back to the parameter input table, and key results are extracted from the simulation result data to generate an engineering visualization output of the operating environment parameters. The aging coefficient is calculated based on the simulation results data, and the insulation dielectric loss parameter is inverted based on the aging coefficient to obtain the evaluation result, which is then output in conjunction with the engineering visualization output.

[0006] By adopting the above technical solution, and by acquiring the construction characteristic information and operating condition information of underground cables and generating a set of simulation parameters, the laying conditions and operating boundaries can be expressed in a structured and quantitative manner. This provides a unified input basis for portable entry, verification, and reproduction of operating conditions at the engineering site. By constructing a multi-physics coupled simulation model based on the simulation parameter set and a preset three-dimensional transient model of electric-thermal-humidity multi-physics fields, the coupled effects of current-carrying heating, heat conduction, and soil moisture transfer can be comprehensively characterized within a unified model framework. This provides physically consistent data support for portable engineering visualization output under different laying scenarios. By generating a parameter input table and establishing a binding mapping with model parameters to trigger coupled solution and obtain simulation result data, parameter table-driven entry and calculation linkage can be achieved, ensuring that parameters and results are correlated. The traceable correspondence allows general practitioners without professional knowledge to complete multi-condition input and calculation calls by following the form during on-site operation; by determining the operating environment parameters based on the simulation parameter set and simulation result data and extracting key results to generate engineering visualization output, the complex coupled field results can be transformed into key indicators and visualizations that are readable by the engineering, thus facilitating general practitioners to quickly understand the thermal and humidity conditions and risk distribution around underground cables on portable terminals; by calculating the aging coefficient based on the simulation result data and inverting the insulation dielectric loss parameters to form an evaluation result and linking it with the engineering visualization output, the environmental prediction results can be further mapped into insulation health-related evaluation indicators and displayed in association, thus supporting on-site personnel to intuitively interpret aging trends and insulation status even without professional analytical capabilities.

[0007] In one example, the present invention can be further configured as follows: obtaining construction characteristic information and operating condition information of underground laid cables, and generating a set of simulation parameters, includes: Obtain the laying method, burial depth, spacing, and structural dimensions of underground cables, and generate construction characteristic parameters; The current-carrying information, dry-bulb temperature and wet-bulb temperature of the underground cable, underground temperature and underground humidity are obtained to generate operating condition parameters. The simulation parameter set is generated by summarizing the construction characteristic parameters and the operating condition parameters.

[0008] By adopting the above technical solutions, construction feature parameters can be generated by acquiring laying methods, burial depths, spacing, and structural dimensions. This enables parametric expression of underground laying geometry and structural constraints, thereby improving the accuracy of subsequent geometric modeling and domain partitioning. By acquiring current-carrying information, climate dry-bulb and wet-bulb temperatures, and underground temperature and humidity, operating condition parameters can be generated. This allows for a unified description of cable heating conditions and external thermal and moisture boundaries, ensuring consistency between simulation conditions and the actual environment. By summarizing construction feature parameters and operating condition parameters to generate a simulation parameter set, a complete input set covering the structure and operating conditions can be formed, providing stable and reliable parameter support for subsequent coupled simulations.

[0009] In one example, the present invention can be further configured as follows: the construction of a multiphysics coupled simulation model based on the simulation parameter set and a preset electro-thermal-humidity multiphysics three-dimensional transient model includes: Based on the set of simulation parameters, a geometric model of the underground laying project is established, and a three-dimensional transient model of the underground cable laying structure and the buried structure is performed to obtain the geometric domain model. The geometric domain model is divided into a cable domain and a soil medium domain to obtain the domain division results; Based on the domain division results, the cable domain is configured with current, solid heat transfer and electromagnetic thermophysical fields, and the soil medium domain is configured with solid heat transfer, porous medium moisture transfer and thermo-humidity coupling physical fields to obtain the multi-physics coupling simulation model.

[0010] By adopting the above technical solutions, a geometric domain model is obtained by establishing a geometric model of the underground laying project and performing three-dimensional transient modeling of the cable structure and buried structure. This model can realistically reflect the constraint relationship of the laying structure in spatial scale, thus providing an accurate computational domain carrier for coupled field calculation. By dividing the geometric domain model into a cable domain and a soil medium domain, the physical properties and computational variables of different medium regions can be managed separately, thereby improving the boundary consistency and numerical stability of the coupled solution. By configuring current, solid heat transfer, and electromagnetic thermophysical fields for the cable domain and solid heat transfer, porous medium moisture transfer, and thermal-humidity coupling physical fields for the soil medium domain, a coupled simulation model is obtained. This model can unify the current-carrying heating and soil thermal-humidity migration processes into the same coupled calculation, thereby more comprehensively reflecting the comprehensive impact of the underground environment on the cable's operating status.

[0011] In one example, the present invention can be further configured as follows: generating a parameter input table based on the simulation parameter set, and establishing a binding mapping between the parameter input table and the model parameters of the multiphysics coupled simulation model, so as to trigger the multiphysics coupled simulation model to perform coupled solution according to the binding mapping, and obtain simulation result data, including: Based on the simulation parameter set, a parameter item set is generated in the parameter input table, and a mapping relationship is configured between the parameter item set and the model parameters to obtain the binding mapping; According to the binding mapping, the set of parameter items in the parameter input table is written into the model parameters of the multiphysics coupling simulation model to form an executable solution input; Based on the solution input, the multiphysics coupled simulation model is triggered to perform coupled solution and output the simulation result data.

[0012] By adopting the above technical solution, a binding mapping is obtained by generating a set of parameter items in the parameter input table and configuring the mapping relationship corresponding to the model parameters. This establishes a clear correspondence between the parameter table and the simulation model, thereby reducing the risk of errors from manual configuration. By writing the set of parameter items into the model parameters based on the binding mapping to form executable solution input, rapid parameter synchronization and consistency verification can be achieved, thereby improving the efficiency of model condition switching and input standardization. By triggering coupled solving based on the solution input and outputting simulation result data, a set of simulation results corresponding one-to-one with the input parameters can be automatically obtained, which facilitates the subsequent extraction and comparative analysis of operating environment parameters.

[0013] In one example, the present invention can be further configured as follows: configuring the mapping relationship between the parameter item set and the model parameters to obtain the binding mapping includes: Multiple sets of simulation parameters are imported into the parameter input table, and a corresponding set of parameter items is generated for each set of simulation parameters to form a multi-condition parameter input. For the input of the multi-condition parameters, a binding mapping between each set of parameter items and the model parameters is established to obtain multiple sets of binding mappings; Based on the multiple sets of binding mappings, the multiphysics coupling simulation model is sequentially triggered to perform coupling solution, and multiple sets of simulation result data corresponding one-to-one with each of the simulation parameter sets are output.

[0014] By adopting the above technical solution, multiple simulation parameter sets are imported into the parameter input table and corresponding parameter item sets are generated to form multi-condition parameter input. This enables batch organization of the same engineering object under different laying or environmental conditions, thereby improving the preparation efficiency of multi-scenario simulation. By establishing binding mappings between each parameter item set and model parameters, multiple sets of binding mappings are obtained, ensuring the independent correspondence between different conditions and model solution inputs, thus avoiding parameter crosstalk during condition switching. By sequentially triggering coupled solving based on multiple sets of binding mappings and outputting multiple sets of simulation result data, batch calculation of multiple conditions and group output of results can be achieved, thereby improving the efficiency and comparability of simulation evaluation.

[0015] In one example, the present invention can be further configured as follows: determining the operating environment parameters of underground cables based on the simulation parameter set and the simulation result data, and sending the simulation result data back to the parameter input table to extract key results from the simulation result data to generate an engineering visualization output of the operating environment parameters, including: The operating environment parameters are generated based on the set of simulation parameters and the simulation result data; The simulation result data is sent back to the parameter input table, and key results corresponding to the operating environment parameters are extracted from the simulation result data. Based on the key results, an engineering visualization output of the operating environment parameters is generated, and the engineering visualization output is associated with and saved with the operating environment parameters.

[0016] By adopting the above technical solutions, and generating operating environment parameters based on simulation parameter sets and simulation result data, the coupled field calculation results can be transformed into operating environment indicators of engineering concern, thereby improving the usability and interpretability of the results. By sending the simulation result data back to the parameter input table and extracting the key results corresponding to the operating environment parameters, a parameter-result linkage relationship can be established and a traceable data closed loop can be formed, which facilitates the engineering side to quickly locate the result values ​​at key locations and key moments. By generating engineering visualization output based on key results and saving it in association with the operating environment parameters, the temperature and humidity distribution and change trends can be presented in an intuitive graphical way and maintained in consistency with the indicators, thereby improving the efficiency of on-site portable viewing and engineering delivery.

[0017] In one example, the present invention can be further configured as follows: calculating the aging coefficient based on the simulation result data and inverting the insulation dielectric loss parameter based on the aging coefficient to obtain the evaluation result and correlate it with the engineering visualization output, including: Temperature and humidity results at key locations are extracted from the simulation results data to generate temperature and humidity characteristic data. The aging coefficient is calculated based on the temperature and humidity characteristic data to obtain the aging coefficient result; The insulation dielectric loss parameters are inverted based on the aging coefficient results to obtain the evaluation results, and the evaluation results are then associated with the engineering visualization output.

[0018] By adopting the above technical solution, temperature and humidity characteristic data can be generated by extracting temperature and humidity results from key locations in the simulation results data. This allows us to focus on key environmental factors affecting insulation aging and form calculable feature inputs, thereby enhancing the relevance of subsequent assessments. By calculating the aging coefficient based on the temperature and humidity characteristic data, we can quantify the cumulative impact of the operating environment on insulation aging, thus supporting the judgment of aging trends and risk assessment. By inverting the insulation dielectric loss parameters based on the aging coefficient results and linking them with the engineering visualization output, we can present the correlation results between environment, aging, and dielectric loss in a unified visual manner, facilitating the comprehensive interpretation of insulation status and result archiving by operation and maintenance personnel.

[0019] In a second aspect, the present invention provides a device for predicting the operating environment parameters of underground cables, the device comprising: The parameter acquisition module is used to acquire construction characteristic information and operating condition information of underground cables and generate a set of simulation parameters. The model building module is used to build a multiphysics coupled simulation model based on the set of simulation parameters and a preset three-dimensional transient model of electric-thermal-humidity multiphysics. The mapping solution module is used to generate a parameter input table based on the simulation parameter set, and establish a binding mapping between the parameter input table and the model parameters of the multiphysics coupling simulation model, so as to trigger the multiphysics coupling simulation model to perform coupling solution according to the binding mapping and obtain simulation result data; The results visualization module is used to determine the operating environment parameters of underground cables based on the simulation parameter set and the simulation result data, send the simulation result data back to the parameter input table, and extract key results from the simulation result data to generate engineering visualization output of the operating environment parameters. The aging assessment module is used to calculate the aging coefficient based on the simulation results data and invert the insulation dielectric loss parameters based on the aging coefficient to obtain the assessment results and associate them with the engineering visualization output.

[0020] By adopting the above technical solution, and by acquiring the construction characteristic information and operating condition information of underground cables and generating a set of simulation parameters, the laying conditions and operating boundaries can be expressed in a structured and quantitative manner. This provides a unified input basis for portable entry, verification, and reproduction of operating conditions at the engineering site. By constructing a multi-physics coupled simulation model based on the simulation parameter set and a preset three-dimensional transient model of electric-thermal-humidity multi-physics fields, the coupled effects of current-carrying heating, heat conduction, and soil moisture transfer can be comprehensively characterized within a unified model framework. This provides physically consistent data support for portable engineering visualization output under different laying scenarios. By generating a parameter input table and establishing a binding mapping with model parameters to trigger coupled solution and obtain simulation result data, parameter table-driven entry and calculation linkage can be achieved, ensuring that parameters and results are correlated. The traceable correspondence allows general practitioners without professional knowledge to complete multi-condition input and calculation calls by following the form during on-site operation; by determining the operating environment parameters based on the simulation parameter set and simulation result data and extracting key results to generate engineering visualization output, the complex coupled field results can be transformed into key indicators and visualizations that are readable by the engineering, thus facilitating general practitioners to quickly understand the thermal and humidity conditions and risk distribution around underground cables on portable terminals; by calculating the aging coefficient based on the simulation result data and inverting the insulation dielectric loss parameters to form an evaluation result and linking it with the engineering visualization output, the environmental prediction results can be further mapped into insulation health-related evaluation indicators and displayed in association, thus supporting on-site personnel to intuitively interpret aging trends and insulation status even without professional analytical capabilities.

[0021] In a third aspect, the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method for predicting operating environment parameters of underground cables.

[0022] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for predicting operating environment parameters of an underground cable. Attached Figure Description

[0023] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of a method for predicting the operating environment parameters of underground cables in an embodiment of the present invention; Figure 2 This is a schematic diagram of the overall laying structure simulating underground cable laying in an embodiment of the present invention; Figure 3This is a schematic diagram of a partial cable structure simulating underground cable laying in an embodiment of the present invention; Figure 4 This is a schematic diagram of the geometric model mesh division for simulating underground cable laying in an embodiment of the present invention; Figure 5 This is a schematic diagram illustrating the thermal-humidity-electrical characteristic distribution of a simulated underground cable in an embodiment of the present invention; Figure 6 , Figure 7 Portable visualization of the operating environment characteristic parameters of underground cables in this embodiment of the invention; Figure 8 This invention provides an inversion of the thermal aging coefficient and insulation cutoff dielectric loss coefficient of underground cables in this embodiment, along with portable engineering visualization. Figure 9 This is a structural block diagram of the underground cable operating environment parameter prediction device according to an embodiment of the present invention; Figure 10 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0024] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0025] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0026] Example 1 like Figure 1 As shown, this invention discloses a method for predicting the operating environment parameters of underground cables, specifically including the following steps: S10: Obtain construction characteristic information and operating condition information of underground cable laying, and generate a set of simulation parameters.

[0027] Specifically, the engineering design data and on-site records corresponding to the underground cable laying are read to obtain construction characteristic information, and operation monitoring records and regional meteorological and geological data are read to obtain operation condition information. The construction characteristic information and operation condition information are normalized, unit converted and default values ​​are filled according to the preset field structure, and the spatial coordinate reference and time reference of the same engineering object are consistently corrected. The simulation parameter set used for subsequent modeling and solving is summarized.

[0028] S20: Construct a multiphysics coupled simulation model based on the set of simulation parameters and the preset three-dimensional transient model of electric-thermal-humidity multiphysics.

[0029] Specifically, based on the set of simulation parameters, a preset three-dimensional transient modeling template matching the laying method is selected and the preset electric-thermal-humidity multi-physics three-dimensional transient model constraints are loaded. Combined with the set of simulation parameters, the geometric domain, material properties, initial conditions and boundary conditions are instantiated and configured so that the model structure is consistent with the engineering object and meets the coupling relationship definition required for transient solution, thereby constructing an executable multi-physics coupling simulation model.

[0030] S30: Generate a parameter input table based on the simulation parameter set, and establish a binding mapping between the parameter input table and the model parameters of the multiphysics coupling simulation model, so as to trigger the multiphysics coupling simulation model to perform coupling solution according to the binding mapping and obtain simulation result data.

[0031] Specifically, the parameter input table uses editable fields to carry the set of simulation parameters and configures the unit, value range and data type verification rules for each parameter item. A one-to-one binding mapping is established between the parameter items in the parameter input table and the model parameters in the multiphysics coupling simulation model. After writing and verifying the parameter values ​​in the parameter input table, the parameter values ​​are synchronized to the multiphysics coupling simulation model according to the binding mapping and the transient coupling solution process is triggered. The simulation result data associated with the mesh node or probe position is output.

[0032] S40: Determine the operating environment parameters of underground cables based on the simulation parameter set and simulation result data, send the simulation result data back to the parameter input table, and extract key results from the simulation result data to generate an engineering visualization output of the operating environment parameters.

[0033] Specifically, the target parameter set and value expression method of the operating environment parameters are determined based on the simulation parameter set. Statistical summarization and consistency review are performed on the simulation result data within the corresponding spatial location and time window to generate operating environment parameter results that can be used for engineering interpretation. The simulation result data and operating environment parameter results are sent back to the parameter input table to form a linkage display of parameters and results. Furthermore, key results corresponding to the operating environment parameters are extracted from the simulation result data to generate engineering visualization outputs in the form of trend charts, profile curves, or coupled field distribution maps.

[0034] S50: Calculate the aging coefficient based on the simulation results data and invert the insulation dielectric loss parameters based on the aging coefficient to obtain the evaluation results and associate them with the engineering visualization output.

[0035] Specifically, key location results that can characterize the influence of underground moisture and thermal conditions are selected from the simulation results data to form temperature and humidity characteristic data. The aging coefficient results are calculated based on the temperature and humidity characteristic data, and the aging coefficient results are substituted into the insulation dielectric loss parameter inversion relationship to obtain the evaluation results. At the same time, the evaluation results and engineering visualization output are linked and displayed and exported for archiving in the same parameter input table.

[0036] In one embodiment, step S10 involves acquiring construction characteristic information and operational condition information of underground cable laying, and generating a set of simulation parameters, including: S11: Obtain the laying method, burial depth, spacing, and structural dimensions of underground cables, and generate construction characteristic parameters.

[0037] Specifically, based on engineering design drawings, construction records, and on-site verification data, the laying method information of underground cables is obtained and the laying method is limited to one of the preset categories such as direct burial, conduit, or trench. At the same time, the burial depth and spacing are read and unified to the same length unit. Furthermore, based on the cable structure diagram and specification parameters, the structural dimensions of the cable are obtained and the structural dimensions are expanded into a set of cross-sectional dimensions and inter-layer dimensions for three-dimensional geometric modeling. Finally, the construction feature parameters that can directly drive the construction of the geometric domain are summarized.

[0038] S12: Obtain current-carrying information, climate dry-bulb temperature and climate wet-bulb temperature, underground temperature and underground humidity of underground cables, and generate operating condition parameters.

[0039] Specifically, the current-carrying information is obtained by reading the cable operation log or monitoring records and organized into time series or steady-state equivalent values ​​according to the preset sampling granularity. The climate information of the area where the project object is located is obtained to obtain the climate dry-bulb temperature and climate wet-bulb temperature and used as candidate values ​​for environmental boundary conditions. The underground temperature and underground humidity are obtained by combining geological survey data or on-site measurements and their spatial location is marked. This ensures that the current-carrying information and the climate dry-bulb temperature, climate wet-bulb temperature, underground temperature, and underground humidity are consistent in terms of time reference and spatial marking, thereby generating operating condition parameters.

[0040] S13: Generate a set of simulation parameters based on the summaries of construction characteristic parameters and operating condition parameters.

[0041] Specifically, the construction characteristic parameters and operating condition parameters are merged according to the field structure of cable parameters, soil medium parameters, environmental parameters, initial condition parameters and boundary condition parameters. For different fields, a dimensional consistency check is performed and the parameter source and applicable operating condition identifier are recorded to form a set of parameter items that can be directly read by the parameter input table, and this set of parameter items is determined as the simulation parameter set.

[0042] In one embodiment, step S20, namely, constructing a multiphysics coupled simulation model based on the simulation parameter set and a preset electro-thermal-humidity multiphysics three-dimensional transient model, includes: S21: Based on the set of simulation parameters, establish a geometric model of the underground laying project, and perform three-dimensional transient modeling of the underground cable structure and buried structure to obtain the geometric domain model.

[0043] Specifically, such as Figure 2 The schematic diagram shown illustrates the overall laying structure of a simulated underground cable. Based on the laying method, burial depth, spacing, and laying path in the simulation parameter set, the relative positional relationship between the cable and the buried structure in the three-dimensional coordinate system is determined, and the boundary range of the computational domain is defined. Figure 3 The diagram shown illustrates a partial structure of a simulated underground cable. Based on the cable's structural dimensions, the cable is reconstructed from its conductor, insulation, shielding, and outer sheath layers to form a three-dimensional solid structure suitable for multiphysics solutions. Simultaneously, the buried structure is geometrically constructed according to soil regions and trenches or conduits to create a buried entity consistent with actual laying conditions. The spatial discretization required for transient solutions is then performed based on this three-dimensional solid structure. Figure 4 The diagram shown illustrates the mesh generation of the geometric model for simulating underground cable laying. The mesh is refined for the interlayer interfaces of the cable structure, the soil medium domain, and the high gradient region around the cable, while the mesh is relatively sparsed for the far-field soil region to balance solution accuracy and computational scale, thereby obtaining a geometric domain model that meets the requirements of three-dimensional transient computation.

[0044] S22: Divide the geometric domain model into a cable domain and a soil medium domain to obtain the domain division results.

[0045] Specifically, domain identification and topology checks are performed on the cable entity and the surrounding medium entity in the geometric domain model. The cable entity is divided into a cable domain and the surrounding medium entity is divided into a soil medium domain. At the same time, the key structural areas inside the cable domain are optionally marked as subdomains so that the sampling location marks of different material properties and different physical field variables can be applied later. The domain division result includes domain number, domain boundary and domain contact interface.

[0046] S23: Based on the domain division results, configure the current, solid heat transfer and electromagnetic thermophysical fields for the cable domain, and configure the solid heat transfer, porous medium moisture transfer and thermo-humidity coupling physical fields for the soil medium domain to obtain a multi-physics coupling simulation model.

[0047] Specifically, based on the domain division results, the cable domain is designated as the current physical field domain, and the phase relationship of each phase current is configured under AC current-carrying conditions to characterize the AC change characteristics. At the same time, the cable domain is designated as the solid heat transfer physical field domain, and the current physical field and the solid heat transfer physical field are coupled through the electromagnetic thermophysical field to form electromagnetic heating input. The soil medium domain is designated as the solid heat transfer physical field domain, and the porous medium moisture transfer physical field is superimposed to describe the moisture content migration process. The heat transfer and moisture transfer processes are coupled through the heat and moisture coupling transfer physical field, and the surface latent heat source is turned on to describe the heat and moisture exchange effect. Furthermore, domain probes are set at key locations to collect the changes of thermal state parameter variable T and moisture state parameter variable phi over time, thereby obtaining an executable multiphysics coupling simulation model.

[0048] In one embodiment, in step S30, a parameter input table is generated based on the simulation parameter set, and a binding mapping is established between the parameter input table and the model parameters of the multiphysics coupling simulation model. This binding mapping triggers the multiphysics coupling simulation model to perform coupled solution, obtaining simulation result data, including: S31: Generate a set of parameter items in the parameter input table based on the set of simulation parameters, and configure the mapping relationship between the set of parameter items and the model parameters to obtain the binding mapping.

[0049] Specifically, in the parameter input table, a set of parameter items with the same field structure as the simulation parameter set is established, and a name, unit, value cell position and verification rule are configured for each parameter item. Based on the model parameter naming and parameter dimension, the set of parameter items is associated one by one with the corresponding model parameters in the multiphysics coupling simulation model, and the unique identifier and update method of the association relationship are recorded to form a one-to-one mapping relationship from parameter items to model parameters and the mapping relationship is determined as the binding mapping.

[0050] S32: Based on the binding mapping, write the set of parameter items in the parameter input table into the model parameters of the multiphysics coupling simulation model to form an executable solution input.

[0051] Specifically, based on the binding mapping, the current value of each parameter item in the parameter input table is read and unit conversion and boundary validity verification are performed. When the verification is successful, the value of each parameter item is written into the corresponding model parameter of the multiphysics coupling simulation model and the initial condition and boundary condition related parameters of the model are updated synchronously, forming an executable solution input that includes material property parameters, environmental parameters, initial condition parameters and boundary condition parameters, and maintaining the version consistency between the solution input and the parameter input table.

[0052] S33: Based on the solution input, trigger the multiphysics coupled simulation model to perform coupled solution and output simulation result data.

[0053] Specifically, based on the input solution, a coupled solution process is initiated, simultaneously calculating the evolution of the current distribution and Joule heat source term, as well as the solid heat transfer field and the porous medium moisture transfer field within the same time step. Under the constraint of thermal-humidity coupling, the mutual influence of the temperature and humidity fields is updated to form a continuous transient iterative solution. The output simulation results data include at least the temperature and humidity results in the cable domain and the soil medium domain, as well as the electromagnetic and thermal correlation results related to the current, maintaining a one-to-one correspondence with the mesh nodes and time index, such as... Figure 5 The diagram shown illustrates the thermal-humidity-electrical characteristic distribution of a simulated underground cable. The simulation results can present the relative humidity and temperature distribution of the soil around the cable in the form of a spatial distribution field, and simultaneously show the coupling influence range of the cable laying structure within the same computational domain. At the same time, the numerical results corresponding to the distribution field are output as a result dataset that can be used for subsequent parameter extraction and visualization.

[0054] In one embodiment, step S31 involves configuring a mapping relationship between the parameter item set and the model parameters to obtain a binding mapping, including: S311: Import multiple simulation parameter sets into the parameter input table, and generate corresponding parameter item sets for each simulation parameter set to form a multi-condition parameter input.

[0055] Specifically, multiple sets of simulation parameters corresponding to different laying processes or different environmental scenarios are imported into the parameter input table, and a working condition identifier and working condition index are assigned to each set of parameters. An independent set of parameter items is generated for each working condition in the parameter input table, and the field structure of the parameter items is kept consistent, so that the same parameter item has an aligned value position under different working conditions, thereby forming a multi-working condition parameter input that can support batch iteration.

[0056] S312: For multi-condition parameter input, establish binding mappings between each parameter set and the model parameters to obtain multiple sets of binding mappings.

[0057] Specifically, for each set of parameter items in the multi-condition parameter input, the matching and verification of parameter item names and model parameter names are performed and a corresponding write channel identifier is established. The mapping relationship from the parameter item set to the model parameter under each condition is recorded and the mapping relationship is bound and stored with the condition identifier, so that each condition corresponds to a set of binding mappings that can be called independently, thereby obtaining multiple sets of binding mappings that correspond one-to-one with the multi-condition parameter input.

[0058] S313: Based on multiple sets of binding mappings, the multiphysics coupling simulation model is triggered sequentially to perform coupled solution, and outputs multiple sets of simulation result data that correspond one-to-one with each set of simulation parameters.

[0059] Specifically, the binding mapping corresponding to each working condition is called sequentially according to the working condition index to write the parameter item set of the parameter input table into the multiphysics coupling simulation model and trigger transient coupling solution. After each solution is completed, the result data is archived according to the working condition identifier and the solution status and key result summary information are recorded. At the same time, the result data of different working conditions are kept in a unified data structure and field naming so that they can be compared and displayed in parallel later. Thus, multiple sets of simulation result data corresponding one-to-one with each simulation parameter set are output.

[0060] In one embodiment, step S40, namely determining the operating environment parameters of the underground cable based on the simulation parameter set and simulation result data, and sending the simulation result data back to the parameter input table to extract key results from the simulation result data to generate an engineering visualization output of the operating environment parameters, includes: S41: Generate runtime environment parameters based on the set of simulation parameters and simulation result data.

[0061] Specifically, based on the simulation parameter set, the statistical scope and value location of the operating environment parameters are determined, and the result sequences of temperature and humidity corresponding to the cable laying area, soil medium area and key structural location are selected from the simulation result data. Combined with the operating condition information in the simulation parameter set, the result sequences are identified for steady-state segment or peak segment in the time domain and representative statistics are generated. Based on the representative statistics, operating environment parameters reflecting the underground thermal and humid state and heat dissipation conditions are formed, and operating condition identification and spatial marking information are added to each operating environment parameter.

[0062] S42: Send the simulation result data back to the parameter input table, and extract the key results corresponding to the operating environment parameters from the simulation result data.

[0063] Specifically, the simulation result data is written back into the parameter input table according to the field structure of grid node data and domain probe data, and the time index and spatial index are retained. Based on the definition of the operating environment parameters, the temperature variable T and humidity variable phi at key locations and their corresponding statistical results are extracted from the simulation result data to form a key result dataset that can be directly used for plotting and reporting. The key result dataset and the operating environment parameters are then referenced in the parameter input table.

[0064] S43: Generate engineering visualization output of runtime environment parameters based on key results, and save the engineering visualization output in association with runtime environment parameters.

[0065] Specifically, key results are organized into data structures required for visualization according to the definitions of operating environment parameters, and a portable engineering display interface is generated, such as... Figure 6 , 7 The diagram shows the portable visualization of the operating environment characteristics of underground cables. Figure 6This is used to display the spatial distribution of relative humidity within the computational domain, and uses a color scale to correspond to different humidity levels, so as to intuitively show the humidity gradient of the soil around the cable and the areas where high humidity accumulates. Figure 7 This tool is used to display the spatial distribution of temperature within the computational domain and uses color scales to correspond to different temperature levels, so as to intuitively reflect the range of cable heating influence and heat diffusion path. At the same time, the key location values, key time point values, and statistical values ​​of operating environment parameters corresponding to humidity and temperature distributions are written into the parameter input table and established with the same operating condition index and the same location index with the engineering visualization output, thereby realizing the association, saving and portable export of visualization graphics and operating environment parameter results.

[0066] In one embodiment, step S50, which involves calculating the aging coefficient based on simulation results data and inverting the insulation dielectric loss parameters based on the aging coefficient to obtain the evaluation result and linking it with the engineering visualization output, includes: S51: Extract temperature and humidity results from key locations from the simulation results data to generate temperature and humidity characteristic data.

[0067] Specifically, based on the definition of key risk locations for cable structures and buried structures, key location results in the cable domain and soil medium domain are selected from the simulation results data. Priority is given to the time series of temperature variable T and humidity variable phi output by the domain probe. For the results of the same location at different time points, missing value completion and outlier removal are performed, and time window statistics are calculated to form temperature and humidity characteristic data containing location identifiers, time indexes, temperature results, and humidity results for subsequent aging calculations and dielectric loss inversion.

[0068] S52: Calculate the aging coefficient based on temperature and humidity characteristic data to obtain the aging coefficient result.

[0069] Specifically, based on temperature and humidity characteristic data, the current temperature T and medium moisture content ω are read at each statistical location and within each statistical time window, and the temperature is converted from Celsius to Kelvin to meet the needs of exponential calculation. The aging coefficient k is calculated according to formula (1). Where k represents the aging coefficient result, k0 is the initial aging coefficient, Ea is the material activation energy, R is the gas constant, T is the current temperature, ω is the medium moisture content, α is the humidity influence coefficient, n is the humidity sensitivity coefficient, and t is the running time. The k values ​​at different locations and under different working conditions are summarized to form a comparable aging coefficient result.

[0070] S53: Based on the aging coefficient results, the insulation dielectric loss parameters are inverted to obtain the evaluation results, and the evaluation results are linked with the engineering visualization output.

[0071] Specifically, the aging coefficient result k and the corresponding temperature T are substituted into the insulation dielectric loss parameter inversion relationship to obtain the insulation dielectric loss tanδ. Where tanδ is the dielectric loss, tanδ0 is the reference dielectric loss, k is the aging coefficient, γ is the dielectric loss sensitivity coefficient, ΔE is the dielectric loss activation energy, R is the gas constant, T0 is the reference temperature, and T is the current temperature. The aging coefficient results, their corresponding temperature and humidity characteristic data, and operating condition index are written into the parameter input table, and the evaluation results of the dielectric loss parameters are calculated based on the inversion relationship. Simultaneously, the evaluation results are correlated and displayed with the engineering visualization output of the operating environment parameters, such as... Figure 8 The diagram illustrates the inversion and portable visualization of the thermal aging coefficient and insulation cutoff dielectric loss coefficient of underground cables. The calculated results of the thermal aging coefficient and insulation dielectric loss parameters are summarized in a time series format within the parameter input table, generating corresponding curves to reflect the trend characteristics of changes over operating time. Simultaneously, the curves are compared with… Figure 6 , 7 The spatial distribution of temperature and humidity shown is visualized by establishing an associated index under the same operating condition identifier, thereby enabling the joint and portable display and export of operating environment parameters, thermal aging coefficients, and insulation dielectric loss parameters in the same output set.

[0072] Example 2 like Figure 9 As shown, based on the same inventive concept as the above embodiments, the present invention also provides an underground cable operating environment parameter prediction device, comprising: The parameter acquisition module is used to acquire construction characteristic information and operating condition information of underground cables and generate a set of simulation parameters. The model building module is used to build a multiphysics coupled simulation model based on the set of simulation parameters and the preset three-dimensional transient model of electric-thermal-humidity multiphysics. The mapping solution module is used to generate a parameter input table based on the simulation parameter set, and establish a binding mapping between the parameter input table and the model parameters of the multiphysics coupling simulation model. Based on the binding mapping, the multiphysics coupling simulation model is triggered to perform coupling solution to obtain simulation result data. The results visualization module is used to determine the operating environment parameters of underground cables based on the simulation parameter set and simulation result data, send the simulation result data back to the parameter input table, and extract key results from the simulation result data to generate engineering visualization output of the operating environment parameters. The aging assessment module is used to calculate the aging coefficient based on the simulation results data and invert the insulation dielectric loss parameters based on the aging coefficient to obtain the assessment results and associate them with the engineering visualization output.

[0073] Optionally, the parameter acquisition module includes: The feature extraction submodule is used to obtain the laying method, burial depth, spacing and structural dimensions of underground cables, and generate construction feature parameters; The operating condition acquisition submodule is used to acquire the current-carrying information, climate dry-bulb temperature and climate wet-bulb temperature, underground temperature and underground humidity of underground cables, and generate operating condition parameters. The parameter aggregation submodule is used to generate a set of simulation parameters based on the aggregation of construction characteristic parameters and operating condition parameters.

[0074] Optionally, the model building modules include: The geometric modeling submodule is used to establish a geometric model of the underground laying project based on the simulation parameter set, and to perform three-dimensional transient modeling of the underground cable structure and buried structure to obtain the geometric domain model. The domain partitioning submodule is used to partition the geometric domain model into a cable domain and a soil medium domain, and obtain the domain partitioning results. The physical configuration submodule is used to configure the current, solid heat transfer and electromagnetic thermal physical fields for the cable domain according to the domain division results, and to configure the solid heat transfer, porous medium moisture transfer and thermal-humidity coupling physical fields for the soil medium domain, so as to obtain a multi-physics coupling simulation model.

[0075] Optionally, the mapping solver module includes: The mapping generation submodule is used to generate a set of parameter items from the parameter input table based on the set of simulation parameters, and to configure the mapping relationship between the set of parameter items and the model parameters to obtain the binding mapping. The parameter writing submodule is used to write the set of parameter items in the parameter input table into the model parameters of the multiphysics coupling simulation model according to the binding mapping, so as to form an executable solution input; The Coupled Solver submodule is used to trigger the multiphysics coupled simulation model to perform coupled solving based on the solver input and output the simulation result data.

[0076] Optionally, the mapping generation submodule includes: The multi-condition import unit is used to import multiple sets of simulation parameters into the parameter input table and generate corresponding parameter item sets for each set of simulation parameters to form a multi-condition parameter input. Multiple sets of mapping units are used to establish binding mappings between each set of parameter items and model parameters for multiple working condition parameter inputs, so as to obtain multiple sets of binding mappings; The batch solver unit is used to sequentially trigger the multiphysics coupled simulation model to perform coupled solving based on multiple sets of binding mappings, and output multiple sets of simulation result data that correspond one-to-one with each set of simulation parameters.

[0077] Optional, the results visualization module includes: The parameter generation submodule is used to generate runtime environment parameters based on the simulation parameter set and simulation result data; The result feedback submodule is used to send the simulation result data back to the parameter input table and extract the key results corresponding to the operating environment parameters from the simulation result data. The visual association submodule is used to generate engineering visualization output of runtime environment parameters based on key results, and to associate and save the engineering visualization output with runtime environment parameters.

[0078] Optional aging assessment modules include: The feature extraction submodule is used to extract temperature and humidity results at key locations from the simulation result data and generate temperature and humidity feature data. The aging calculation submodule is used to calculate the aging coefficient based on temperature and humidity characteristic data and obtain the aging coefficient result. The dielectric loss inversion submodule is used to invert insulation dielectric loss parameters based on aging coefficient results, obtain evaluation results, and associate the evaluation results with engineering visualization output.

[0079] Example 3 like Figure 10 As shown, the present invention also provides an electronic device 100 for implementing a method for predicting the operating environment parameters of underground cables; The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0080] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the method for predicting the operating environment parameters of an underground cable in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0081] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0082] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0083] The memory 101 in the electronic device 100 stores multiple instructions to implement a method for predicting the operating environment parameters of an underground cable, and the processor 102 can execute multiple instructions to achieve the following: Obtain construction characteristic information and operating condition information of underground cables, and generate a set of simulation parameters; A multiphysics coupled simulation model is constructed based on the set of simulation parameters and the preset three-dimensional transient model of electro-thermal-humidity multiphysics. A parameter input table is generated based on the simulation parameter set, and a binding mapping is established between the parameter input table and the model parameters of the multiphysics coupling simulation model. The multiphysics coupling simulation model is then triggered to perform coupled solution based on the binding mapping to obtain simulation result data. Based on the simulation parameter set and simulation result data, the operating environment parameters of underground cables are determined, the simulation result data is sent back to the parameter input table, and key results are extracted from the simulation result data to generate an engineering visualization output of the operating environment parameters. The aging coefficient is calculated based on the simulation results, and the insulation dielectric loss parameters are inverted based on the aging coefficient to obtain the evaluation results, which are then linked to the engineering visualization output.

[0084] Example 4 If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0085] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0087] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0088] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0089] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for predicting environmental parameters of underground cables, characterized in that, The method includes: Obtain construction characteristic information and operating condition information of underground cables, and generate a set of simulation parameters; A multiphysics coupled simulation model is constructed based on the set of simulation parameters and the preset three-dimensional transient model of electro-thermal-humidity multiphysics field; A parameter input table is generated based on the simulation parameter set, and a binding mapping is established between the parameter input table and the model parameters of the multiphysics coupling simulation model. The multiphysics coupling simulation model is then triggered to perform coupled solution according to the binding mapping to obtain simulation result data. Based on the set of simulation parameters and the simulation result data, the operating environment parameters of the underground cable are determined, the simulation result data is sent back to the parameter input table, and key results are extracted from the simulation result data to generate an engineering visualization output of the operating environment parameters. The aging coefficient is calculated based on the simulation results data, and the insulation dielectric loss parameter is inverted based on the aging coefficient to obtain the evaluation result, which is then output in conjunction with the engineering visualization output.

2. The underground cable operating environment parameter prediction method according to claim 1, characterized by, The process of acquiring construction characteristic information and operational condition information of underground cables and generating a set of simulation parameters includes: Obtain the laying method, burial depth, spacing, and structural dimensions of underground cables, and generate construction characteristic parameters; The current-carrying information, dry-bulb temperature and wet-bulb temperature of the underground cable, underground temperature and underground humidity are obtained to generate operating condition parameters. The simulation parameter set is generated by summarizing the construction characteristic parameters and the operating condition parameters.

3. The underground cable environmental parameter prediction method according to claim 1, characterized by, The construction of a multiphysics coupled simulation model based on the simulation parameter set and a preset electro-thermal-humidity three-dimensional transient model includes: Based on the set of simulation parameters, a geometric model of the underground laying project is established, and a three-dimensional transient model of the underground cable laying structure and the buried structure is performed to obtain the geometric domain model. The geometric domain model is divided into a cable domain and a soil medium domain to obtain the domain division results. Based on the domain division results, the cable domain is configured with current, solid heat transfer and electromagnetic thermophysical fields, and the soil medium domain is configured with solid heat transfer, porous medium moisture transfer and thermo-humidity coupling physical fields to obtain the multi-physics coupling simulation model.

4. The underground cable environmental parameter prediction method according to claim 1, characterized by, The process involves generating a parameter input table based on the simulation parameter set, and establishing a binding mapping between the parameter input table and the model parameters of the multiphysics coupled simulation model. This binding mapping triggers the multiphysics coupled simulation model to perform coupled solution operations, yielding simulation result data, including: Based on the simulation parameter set, a parameter item set is generated in the parameter input table, and a mapping relationship is configured between the parameter item set and the model parameters to obtain the binding mapping; According to the binding mapping, the set of parameter items in the parameter input table is written into the model parameters of the multiphysics coupling simulation model to form an executable solution input; Based on the solution input, the multiphysics coupled simulation model is triggered to perform coupled solution and output the simulation result data.

5. The underground cable operating environment parameter prediction method according to claim 4, characterized by, The step of configuring the mapping relationship between the parameter item set and the model parameters to obtain the binding mapping includes: Multiple sets of simulation parameters are imported into the parameter input table, and a corresponding set of parameter items is generated for each set of simulation parameters to form a multi-condition parameter input. For the input of the multi-condition parameters, a binding mapping between each set of parameter items and the model parameters is established to obtain multiple sets of binding mappings; Based on the multiple sets of binding mappings, the multiphysics coupling simulation model is sequentially triggered to perform coupling solution, and multiple sets of simulation result data corresponding one-to-one with each of the simulation parameter sets are output.

6. The underground cable environmental parameter prediction method according to claim 1, characterized by, The process of determining the operating environment parameters for underground cable laying based on the simulation parameter set and the simulation result data, and then sending the simulation result data back to the parameter input table to extract key results from the simulation result data and generate engineering visualization output of the operating environment parameters, includes: The operating environment parameters are generated based on the set of simulation parameters and the simulation result data; The simulation result data is sent back to the parameter input table, and key results corresponding to the operating environment parameters are extracted from the simulation result data. Based on the key results, an engineering visualization output of the operating environment parameters is generated, and the engineering visualization output is associated with and saved with the operating environment parameters.

7. The underground cable environmental parameter prediction method according to claim 1, characterized by, The process of calculating the aging coefficient based on the simulation results data, inverting the insulation dielectric loss parameters based on the aging coefficient, obtaining the evaluation result, and linking it with the engineering visualization output includes: Temperature and humidity results at key locations are extracted from the simulation results data to generate temperature and humidity characteristic data. The aging coefficient is calculated based on the temperature and humidity characteristic data to obtain the aging coefficient result; The insulation dielectric loss parameters are inverted based on the aging coefficient results to obtain the evaluation results, and the evaluation results are then associated with the engineering visualization output.

8. A device for predicting environmental parameters of underground cables, characterized in that, The device includes: The parameter acquisition module is used to acquire construction characteristic information and operating condition information of underground cables and generate a set of simulation parameters. The model building module is used to build a multiphysics coupled simulation model based on the set of simulation parameters and a preset three-dimensional transient model of electric-thermal-humidity multiphysics. The mapping solution module is used to generate a parameter input table based on the simulation parameter set, and establish a binding mapping between the parameter input table and the model parameters of the multiphysics coupling simulation model, so as to trigger the multiphysics coupling simulation model to perform coupling solution according to the binding mapping and obtain simulation result data; The results visualization module is used to determine the operating environment parameters of underground cables based on the simulation parameter set and the simulation result data, send the simulation result data back to the parameter input table, and extract key results from the simulation result data to generate engineering visualization output of the operating environment parameters. The aging assessment module is used to calculate the aging coefficient based on the simulation results data and invert the insulation dielectric loss parameters based on the aging coefficient to obtain the assessment results and associate them with the engineering visualization output.

9. An electronic device, comprising: It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the steps of the method for predicting the operating environment parameters of underground cables as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the steps of the underground cable operating environment parameter prediction method as described in any one of claims 1 to 7.

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