Visual analysis method and device for cable current-carrying unbalance degree

Abstract

The invention relates to a visual analysis method and device for the current-carrying unbalance degree of a cable. The method comprises the following steps: acquiring cable parameters of a plurality of same-direction parallel cables and interface parameter information of a user interaction front-end interface, and constructing a cable load model of each same-direction parallel cable; based on the interface parameter information, identifying an interaction meaning of each interface interaction parameter, and identifying an interaction relationship between each interaction parameter and each model parameter; generating a model visual structure diagram of each cable load model, and constructing a structure corresponding relation between each model parameter and each structure image; and on the basis of the information, a cable current-carrying unbalance degree analysis interaction platform is constructed through a cable current-carrying unbalance degree calculation model, and a visual analysis task of the cable current-carrying unbalance degree is executed on the basis of the cable current-carrying unbalance degree analysis interaction platform. By adopting the method, the user visual experience effect of current-carrying unbalance degree analysis can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of parallel cables in the same direction, and in particular to a method and device for visually analyzing the imbalance of cable current. Background Art

[0002] The three-phase imbalance of the current carried by the parallel cables in the same direction will cause many harms to the system. The three-phase imbalance may lead to uneven utilization of the rated capacity of the equipment, causing some equipment to be overloaded and others to be underloaded. This will shorten the life of the equipment or even damage it. Especially for motors, unbalanced current will cause the motor temperature to rise, thereby accelerating winding aging and insulation damage; it will cause unbalanced distribution of active power and reactive power in the system, thereby reducing the overall power factor of the system. Therefore, based on the harm of three-phase imbalance to the power system, the importance of current imbalance analysis is obvious.

[0003] Traditional current imbalance analysis is based on the current data of the current parallel cables of each phase, and identifies the current imbalance of the same-direction parallel cables through simulation modeling, simulated transmission and other processes. However, this method can only directly determine whether there is a three-phase imbalance, but cannot identify the imbalance data of the same-direction parallel cables in real time, making the current imbalance analysis less intuitive, and thus the user intuitive experience of the current imbalance analysis is poor. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for visual analysis of cable current imbalance in order to solve the above technical problems.

[0005] In a first aspect, the present application provides a method for visually analyzing cable current imbalance. The method comprises:

[0006] Obtain shielding structure data of cables of different models based on cable braided shielding structure design, and build a cable shielding layer model of each cable based on the shielding structure data of each cable;

[0007] Based on the model parameters in each of the cable shielding layer models, the distribution parameter information of each cable shielding layer is identified, and based on each of the model parameters and each of the distribution parameter information, each target model parameter of each cable shielding layer model is identified through a parameter optimization strategy;

[0008] Through the electromagnetic field simulation model, the current transmission process of each cable shielding layer model is simulated to obtain the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model;

[0009] Based on the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, the comprehensive evaluation result of each cable is identified, and the target model parameters corresponding to each cable and the comprehensive evaluation result of each cable are used as the design scheme evaluation information of each cable.

[0010] Optionally, constructing a cable shielding layer model of each cable based on the shielding structure data of each cable includes:

[0011] For each cable, based on the shielding structure data, identifying a data value of each shielding structure type;

[0012] Based on the data value of each shielding structure type, a cable shielding layer model of each cable is constructed through a model construction strategy.

[0013] Optionally, the identifying the distributed parameter information of each cable shielding layer based on the model parameters in each cable shielding layer model includes:

[0014] Obtain parameter calculation formulas for different distribution parameters and model parameter requirement information for each distribution parameter, and identify each parameter type corresponding to each model parameter requirement information;

[0015] For each cable shielding layer model, identifying the parameter type corresponding to each model parameter in the cable shielding layer model, and based on the parameter type corresponding to each model parameter, identifying the model parameter of each distributed parameter requirement;

[0016] Based on the model parameters required for each distribution parameter and the parameter calculation formula of each distribution parameter, the parameter value of each distribution parameter is calculated, and the parameter values ​​of all distribution parameters are used as the distribution parameter information of the cable shielding layer corresponding to the cable shielding layer model.

[0017] Optionally, the identifying each target model parameter of each cable shielding layer model through a parameter optimization strategy based on each model parameter and each distribution parameter information includes:

[0018] Obtaining the cable shielding requirement parameters of each cable model, and for each cable shielding layer model, based on the model parameters of the cable shielding layer model and the distribution parameter information of the cable shielding layer model, calculating the new model parameters of the cable shielding layer model and the cable shielding parameters corresponding to the new model parameters by optimizing the parameter algorithm;

[0019] In the case where there are cable shielding parameters that are lower than the cable shielding requirement parameters, the new model parameters corresponding to the cable shielding parameters replace the model parameters, and the step of identifying the parameter type corresponding to each model parameter in the cable shielding layer model is returned to execute, until all cable shielding parameters are greater than the cable shielding requirement parameters, and the new model parameters obtained in the last iteration are used as the target model parameters.

[0020] Optionally, the current transmission process of each cable shielding layer model is simulated by an electromagnetic field simulation model to obtain the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, including:

[0021] Based on the target model parameters of each cable shielding layer model, each cable shielding layer model is adjusted to obtain each target cable shielding layer model, and for each target cable shielding layer model, the current transmission process of the cable shielding layer model is simulated through an electromagnetic field simulation model to obtain the transmission information of the target cable shielding layer model and the electromagnetic distribution information of the target cable shielding layer model;

[0022] Based on the transmission information, identifying transmission index values ​​of different transmission types, and based on the electromagnetic distribution information, identifying shielding index values ​​of each electromagnetic shielding type;

[0023] The transmission index value of each of the transmission types is used as the cable transmission characteristic of the cable shielding layer model, and the shielding index value of each of the electromagnetic shielding types is used as the electromagnetic shielding effect of the cable shielding layer model.

[0024] Optionally, the identifying a comprehensive evaluation result of each cable based on the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model includes:

[0025] Based on each target model parameter of each cable shielding layer model, calculating the cost information of the cable shielding layer corresponding to each cable shielding layer model;

[0026] Based on the transmission index value of each cable shielding layer model in each of the transmission types, a transmission evaluation result of each cable shielding layer is identified through a transmission index evaluation strategy, and based on the shielding index value of each cable shielding layer model in each of the electromagnetic shielding types, a shielding evaluation result of each cable shielding layer is identified through a shielding index evaluation strategy;

[0027] Based on the cost information of each cable shielding layer, the cost evaluation result of each cable shielding layer is calculated, and based on the transmission evaluation result of each cable shielding layer, the shielding evaluation result of each cable shielding layer, and the cost evaluation result of each cable shielding layer, the comprehensive evaluation result of each cable shielding layer is determined.

[0028] In a second aspect, the present application also provides a visual analysis device for cable current imbalance. The device comprises:

[0029] An acquisition module is used to acquire shielding structure data of cables of different models based on cable braided shielding structure design, and to construct a cable shielding layer model of each cable based on the shielding structure data of each cable;

[0030] An identification module, used to identify the distribution parameter information of each cable shielding layer based on the model parameters in each cable shielding layer model, and identify each target model parameter of each cable shielding layer model through a parameter optimization strategy based on each model parameter and each distribution parameter information;

[0031] A simulation module is used to simulate the current transmission process of each cable shielding layer model through an electromagnetic field simulation model to obtain the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model;

[0032] The evaluation module is used to identify the comprehensive evaluation results of each cable based on the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, and use the target model parameters corresponding to each cable and the comprehensive evaluation results of each cable as the design scheme evaluation information of each cable.

[0033] Optionally, the acquisition module is specifically used to:

[0034] For each cable, based on the shielding structure data, identifying a data value of each shielding structure type;

[0035] Based on the data value of each shielding structure type, a cable shielding layer model of each cable is constructed through a model construction strategy.

[0036] Optionally, the identification module is specifically used to:

[0037] Obtain parameter calculation formulas for different distribution parameters and model parameter requirement information for each distribution parameter, and identify each parameter type corresponding to each model parameter requirement information;

[0038] For each cable shielding layer model, identifying the parameter type corresponding to each model parameter in the cable shielding layer model, and based on the parameter type corresponding to each model parameter, identifying the model parameter of each distributed parameter requirement;

[0039] Based on the model parameters required for each distribution parameter and the parameter calculation formula of each distribution parameter, the parameter value of each distribution parameter is calculated, and the parameter values ​​of all distribution parameters are used as the distribution parameter information of the cable shielding layer corresponding to the cable shielding layer model.

[0040] Optionally, the identification module is specifically used to:

[0041] Obtaining the cable shielding requirement parameters of each cable model, and for each cable shielding layer model, based on the model parameters of the cable shielding layer model and the distribution parameter information of the cable shielding layer model, calculating the new model parameters of the cable shielding layer model and the cable shielding parameters corresponding to the new model parameters by optimizing the parameter algorithm;

[0042] In the case where there are cable shielding parameters that are lower than the cable shielding requirement parameters, the new model parameters corresponding to the cable shielding parameters replace the model parameters, and the step of identifying the parameter type corresponding to each model parameter in the cable shielding layer model is returned to execute, until all cable shielding parameters are greater than the cable shielding requirement parameters, and the new model parameters obtained in the last iteration are used as the target model parameters.

[0043] Optionally, the simulation module is specifically used for:

[0044] Based on the target model parameters of each cable shielding layer model, each cable shielding layer model is adjusted to obtain each target cable shielding layer model, and for each target cable shielding layer model, the current transmission process of the cable shielding layer model is simulated through an electromagnetic field simulation model to obtain the transmission information of the target cable shielding layer model and the electromagnetic distribution information of the target cable shielding layer model;

[0045] Based on the transmission information, identifying transmission index values ​​of different transmission types, and based on the electromagnetic distribution information, identifying shielding index values ​​of each electromagnetic shielding type;

[0046] The transmission index value of each of the transmission types is used as the cable transmission characteristic of the cable shielding layer model, and the shielding index value of each of the electromagnetic shielding types is used as the electromagnetic shielding effect of the cable shielding layer model.

[0047] Optionally, the evaluation module is specifically used to:

[0048] Based on each target model parameter of each cable shielding layer model, calculating the cost information of the cable shielding layer corresponding to each cable shielding layer model;

[0049] Based on the transmission index value of each cable shielding layer model in each of the transmission types, a transmission evaluation result of each cable shielding layer is identified through a transmission index evaluation strategy, and based on the shielding index value of each cable shielding layer model in each of the electromagnetic shielding types, a shielding evaluation result of each cable shielding layer is identified through a shielding index evaluation strategy;

[0050] Based on the cost information of each cable shielding layer, the cost evaluation result of each cable shielding layer is calculated, and based on the transmission evaluation result of each cable shielding layer, the shielding evaluation result of each cable shielding layer, and the cost evaluation result of each cable shielding layer, the comprehensive evaluation result of each cable shielding layer is determined.

[0051] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0052] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor.

[0054] The above-mentioned visual analysis method and device of cable current imbalance obtains the cable parameters of multiple parallel cables in the same direction and the interface parameter information of the user interaction front-end interface, and constructs a cable load model of each parallel cable in the same direction based on the cable parameters of each parallel cable in the same direction; based on the interface parameter information, identifies the interactive meaning of each interface interaction parameter, and identifies the interactive relationship between each interaction parameter and each model parameter of each cable load model; generates a model visualization structure diagram of each cable load model, and constructs a structural correspondence between each model parameter and each structural image of the model visualization structure diagram; based on the interactive relationship, the structural correspondence, the interface parameter information, and each of the cable load models, through the cable current imbalance calculation model, constructs a cable current imbalance analysis interactive platform. This solution, by combining the cable load model constructed by the cable parameters of multiple unidirectional parallel cables, constructs a cable load model including interface parameter information, and the correspondence between each model visualization structure diagram and the model parameters of the cable load model of each unidirectional parallel cable, so that the user can directly input the required data for each model parameter of the unidirectional parallel cable, so as to intuitively observe the current imbalance distribution state of the unidirectional parallel cable and the visualization analysis results of the current imbalance of the unidirectional parallel cable, thereby avoiding the problem of being unable to identify the imbalance data of the unidirectional parallel cables in real time, thereby making the current imbalance analysis less intuitive, so that it is possible to accurately analyze the current imbalance of each unidirectional parallel cable required by the user, and to visualize and intuitively understand the current imbalance distribution of the unidirectional parallel cables, thereby improving the user's intuitive experience of the current imbalance analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flowchart of a method for visually analyzing the cable current imbalance in one embodiment;

[0056] Figure 2 A schematic diagram of a user interaction front-end interface of a cable current imbalance analysis interactive platform in one embodiment;

[0057] Figure 3 A structural diagram of a visualized structural diagram of a co-directional parallel cable in one embodiment;

[0058] Figure 4 A schematic diagram of a flow chart of an example of visual analysis of cable current imbalance in one embodiment;

[0059] Figure 5 is a structural block diagram of a visual analysis device for cable current imbalance in one embodiment;

[0060] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0062] The visual analysis method of cable current imbalance provided in the embodiment of the present application can be applied in the application environment of current imbalance analysis of parallel cables in the same direction. The method is applied to a cable current imbalance analysis interactive platform, which can be a terminal or a server. Among them, the terminal constructs a cable load model by combining the cable parameters of multiple unidirectional parallel cables, and constructs a correspondence between the model parameters of the cable load model of each unidirectional parallel cable, including the interface parameter information, and the visualization structure diagram of each model and the model parameters, so that the user can directly input the required data for the model parameters of the unidirectional parallel cables, so that the current imbalance distribution state of the unidirectional parallel cables and the visualization analysis results of the current imbalance of the unidirectional parallel cables can be intuitively observed, avoiding the problem of being unable to identify the imbalance data of the unidirectional parallel cables in real time, thereby making the current imbalance analysis less intuitive, so that it is possible to accurately analyze the current imbalance of each unidirectional parallel cable required by the user, and to visualize and intuitively understand the current imbalance distribution of the unidirectional parallel cables, thereby improving the user's intuitive experience of the current imbalance analysis.

[0063] In one embodiment, Figure 1As shown, a visual analysis method for cable current imbalance is provided, which is described by taking the application of the method to a terminal as an example, and includes the following steps:

[0064] Step S101, acquiring cable parameters of a plurality of cables connected in parallel in the same direction and interface parameter information of a user interaction front-end interface, and constructing a cable load model of each cable connected in parallel in the same direction based on the cable parameters of each cable connected in parallel in the same direction.

[0065] In this embodiment, the terminal obtains cable parameters of different cable models and different cable grades in response to the parameter upload operation of the staff. Specifically, the above-mentioned cable parameters include line parameters of different voltage grades, cable models of different voltage grades and cable models (specific parameters include the inner diameter of different types of conductors, the outer radius of the conductor, the resistivity of the conductor material, the relative magnetic permeability of the conductor material, the relative magnetic permeability of the conductor external insulation material, the relative dielectric constant of the conductor external insulation material, the thickness of the internal semiconductor layer, the thickness of the external semiconductor layer, the ground resistivity, the frequency of calculating line parameters, the line length, etc.), different grounding methods (different grounding methods are set according to the actual situation of the system), whether to add skin effect options (determine whether to add the corresponding options of the skin effect to the model according to the staff's choice), different numbers of loops, and whether to cross-connect corresponding parameters. Then, based on the user interaction front-end interface of the initial cable current imbalance analysis interactive platform that was initially constructed, the terminal obtains the interface parameter information of the interface, such as Figure 2 As shown in the figure, it is a schematic diagram of the user interaction front-end interface of the cable current unbalance analysis interactive platform, which includes the layout of the design interface, function buttons, menu bar and other elements. Each element corresponds to an interface interaction parameter, which includes the parameters of the interaction area corresponding to the user's interactive behaviors such as clicking buttons, inputting information, and searching. Then, based on the cable parameters of each parallel cable in the same direction, the terminal constructs the cable load model of each parallel cable in the same direction through the ATP-EMTP software. The specific construction process will be described in detail later.

[0066] Step S102: Based on the interface parameter information, the interaction meaning of each interface interaction parameter is identified, and the interaction relationship between each interaction parameter and each model parameter of each cable load model is identified.

[0067] In this embodiment, the terminal identifies the interactive meaning of each interface interactive parameter based on the interface parameter information, and identifies the interactive relationship between each interactive parameter and each model parameter of each cable load model. The interactive meaning includes the interactive method and the interactive purpose. For example, by clicking a button, the model parameters of the model are adjusted; by inputting data, the model load is adjusted; by searching, the structural parameters of the model are queried; by clicking a button, the current imbalance of the model is calculated, etc. The interactive relationship is the model parameter of the model corresponding to each interface interactive parameter, and the interactive relationship includes adjusting interaction, displaying interaction, executing interaction, etc. The specific identification process will be described in detail later.

[0068] Step S103: generating a model visualization structure diagram of each cable load model, and constructing a structural correspondence between each model parameter and each structural image of the model visualization structure diagram.

[0069] In this embodiment, the terminal generates a model visualization structure diagram of each cable load model, such as Figure 3 As shown, it is a model visualization structure diagram of the load model of the parallel cables in the same direction. Then, the terminal constructs a structural correspondence between each model parameter and each structural image of the model visualization structure diagram. The structural correspondence is the correspondence between the adjustment / modification / display of each model parameter and the change of the structural image in the visualization structure diagram.

[0070] Step S104, based on the interactive relationship, structural correspondence, interface parameter information, and each cable load model, a cable current imbalance analysis interactive platform is constructed through the cable current imbalance calculation model, and based on the cable current imbalance analysis interactive platform, a cable current imbalance visualization analysis task is performed.

[0071] In this embodiment, the terminal constructs a cable current imbalance analysis interactive platform based on the interactive relationship, structural correspondence, interface parameter information, and each cable load model through the cable current imbalance calculation model, and performs a cable current imbalance visualization analysis task based on the cable current imbalance analysis interactive platform.

[0072] Based on the above scheme, by combining the cable load model constructed by the cable parameters of multiple unidirectional parallel cables, a correspondence between the interface parameter information and the model parameters of the cable load model of each unidirectional parallel cable is constructed, so that the user can directly input the required data for the model parameters of the unidirectional parallel cables, so that the current imbalance distribution state of the unidirectional parallel cables and the visualization analysis results of the current imbalance of the unidirectional parallel cables can be intuitively observed, thereby avoiding the problem of being unable to identify the imbalance data of the unidirectional parallel cables in real time, thereby making the current imbalance analysis less intuitive. It is possible to accurately analyze the current imbalance of each unidirectional parallel cable required by the user, and to visually understand the current imbalance distribution of the unidirectional parallel cables, thereby improving the user's intuitive experience of the current imbalance analysis.

[0073] Optionally, based on the cable parameters of each unidirectional parallel cable, a cable load model of each unidirectional parallel cable is constructed, including: for each unidirectional parallel cable, historical current-carrying data of the unidirectional parallel cable is obtained, and based on the cable parameters, parameter values ​​of each cable parameter type of the unidirectional parallel cable are identified; based on the parameter value of the cable parameter type being the cable structure parameter, a cable structure model of the unidirectional parallel cable is constructed through a cable modeling program, and based on the parameter value of each cable parameter type, each model parameter in the cable structure model is adjusted to obtain an initial cable load model of the unidirectional parallel cable; based on the initial cable load model and the historical current-carrying data of the unidirectional parallel cables, the model accuracy of the initial cable load model is identified, and when the model accuracy is lower than a preset accuracy, each cable parameter of the unidirectional parallel cable is re-obtained, and the step of identifying the parameter value of each cable parameter type of the unidirectional parallel cable based on each cable parameter is returned to execute, until the model accuracy is not lower than the preset accuracy, and the initial cable load model obtained in the last iteration is used as the cable load model of the unidirectional parallel cable.

[0074] In this embodiment, the terminal obtains the historical current-carrying data of the parallel cables in the same direction for each parallel cable in the same direction, and identifies the parameter values ​​of each cable parameter type of the parallel cables in the same direction based on each cable parameter. Then, the terminal constructs the cable structure model of the parallel cables in the same direction through the cable modeling program based on the parameter value of the cable parameter type as the cable structure parameter. The cable modeling program becomes a program for model construction based on the ATP-EMTP software. Then, the terminal adjusts each model parameter in the cable structure model based on the parameter value of each cable parameter type to obtain the initial cable load model of the parallel cables in the same direction. Then, the terminal identifies the model accuracy of the initial cable load model based on the initial cable load model and the historical current-carrying data of the parallel cables in the same direction. The model accuracy of the initial cable load model is to simulate and run the initial cable load model through the input data in the historical current-carrying data, thereby identifying the deviation value between the simulation result obtained by the initial cable load model and the real result in the historical current-carrying data, thereby determining the model accuracy of the initial cable load model.

[0075] When the model accuracy is lower than the preset accuracy, the terminal re-acquires the cable parameters of the parallel cables in the same direction, and returns to execute the parameter value step of identifying the parameter types of the parallel cables in the same direction based on the cable parameters, until the model accuracy is not lower than the preset accuracy, and the initial cable load model obtained by the last iteration is used as the cable load model of the parallel cables in the same direction. The preset accuracy is the model accuracy preset in the terminal.

[0076] Based on the above scheme, the constructed cable load model is simulated and tested to adjust and optimize the cable load model, thereby improving the simulation effect and simulation authenticity of the cable load model.

[0077] Optionally, based on the interface parameter information, the interactive meaning of each interface interaction parameter is identified, including: extracting the interface identification information of each interface interaction parameter and the interactive function of each interface interaction parameter in the interface parameter information; based on the interface identification information of each interface interaction parameter, extracting the semantic information corresponding to each interface identification information through a semantic recognition network, and based on the interactive function of each interface interaction parameter, identifying the parameter adjustment method of each interface interaction parameter; based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment method of each interface interaction parameter, identifying the interactive meaning corresponding to each interface interaction parameter.

[0078] In this embodiment, the terminal extracts the interface identification information of each interface interaction parameter and the interactive function of each interface interaction parameter from the interface parameter information. Specifically, the terminal obtains the display range of each interface interaction parameter in the user interaction front-end interface, and identifies the text content in each display range through the text recognition network. Then, the terminal uses the text content as the interface identification information of the interface interaction parameter, and then, the terminal queries the interactive function corresponding to each interface identification information in the interface parameter database to obtain the interactive function of the interface interaction parameter corresponding to each interface identification information. Among them, the interface identification information of the interface interaction parameter is as follows: Figure 2 The interactive topics within each interactive range are shown, for example, selecting voltage level, selecting cable model, selecting grounding method, etc. The interactive function of each interface interactive parameter is used to characterize the interactive mode and interactive purpose corresponding to the interactive parameter.

[0079] Based on the interface identification information of each interface interaction parameter, the terminal extracts the semantic information corresponding to each interface identification information through a semantic recognition network, and identifies the parameter adjustment method of each interface interaction parameter based on the interactive function of each interface interaction parameter. The semantic recognition network is a large language model based on a natural language processing program. The terminal identifies the interaction meaning corresponding to each interface interaction parameter based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment method of each interface interaction parameter. Different semantic information and interaction meanings corresponding to different parameter adjustment methods are stored in the database. The terminal identifies the interaction meaning corresponding to each interface interaction parameter by querying the database.

[0080] Based on the above scheme, the interface identification information and interaction function of each interaction parameter are extracted to identify the interaction meaning corresponding to each interface interaction parameter, thereby improving the accuracy of identifying the interaction meaning corresponding to each interface interaction parameter.

[0081] Optionally, identifying the interaction relationship between each interaction parameter and each model parameter of each cable load model, including: for each cable load model, identifying the parameter characteristics of each model parameter of the cable load model, and based on the interaction meaning corresponding to each interface interaction parameter, identifying the cable structure parameter adjusted by each interface interaction parameter; based on the parameter characteristics of each model parameter, identifying the cable structure parameter corresponding to each model parameter; based on the cable structure parameters corresponding to each model parameter and the cable structure parameters adjusted by each interface interaction parameter, identifying the interaction relationship between each interaction parameter and each model parameter of the cable load model.

[0082] In this embodiment, the terminal identifies the parameter characteristics of each model parameter of the cable load model for each cable load model, and identifies the cable structure parameters adjusted by each interface interaction parameter based on the interaction meaning corresponding to each interface interaction parameter. For example, if the interface interaction parameter is an adjustment parameter of each cable load structure, the cable structure parameter adjusted by the interface interaction parameter is a cable load structure parameter; if the interface interaction parameter is an adjustment parameter of each cable current carrying data, the cable structure parameter adjusted by the interface interaction parameter is a cable current carrying data parameter. Then, based on the parameter characteristics of each model parameter, the terminal identifies the cable structure parameter corresponding to each model parameter. Among them, the cable structure corresponding to the interaction purpose of each interaction meaning is the cable structure adjusted by the interface interaction parameter, and the terminal identifies the cable structure parameter adjusted by each interface interaction parameter based on the above method. Among them, the parameter characteristics are the structural characteristics of the cable structure corresponding to the model parameter, and the parameter characteristics of each model parameter are preset in the terminal.

[0083] Finally, the terminal identifies the interaction relationship between each interaction parameter and each model parameter of the cable load model based on the cable structure parameter corresponding to each model parameter and the cable structure parameter adjusted by each interface interaction parameter, wherein the interaction relationship includes the change value of the model parameter corresponding to the change value of each interface interaction parameter.

[0084] Based on the above scheme, by identifying the interaction meaning and the corresponding relationship between the model parameters and the cable structure parameters, the interaction relationship between each interaction parameter and each model parameter of the cable load model is identified, thereby improving the accuracy of identifying the interaction relationship.

[0085] Optionally, a structural correspondence between each model parameter and each structural image of the model visualization structure diagram is constructed, including: for each model visualization structure diagram, identifying the cable structure corresponding to each structural image in the visualization structure diagram, and querying the structural influencing parameters corresponding to each cable structure in a database; extracting the influencing parameter characteristics of each structural influencing parameter respectively, and calculating the similarity between the parameter characteristics of each model parameter and each influencing parameter characteristic respectively; based on each similarity, screening the model parameters corresponding to each structural influencing parameter, and based on the structural influencing parameters corresponding to each cable structure and the model parameters corresponding to each structural influencing parameter, identifying the structural correspondence between each model parameter and each structural image of the model visualization structure diagram.

[0086] In this embodiment, the terminal identifies the cable structure corresponding to each structural image in the visualization structure diagram for each model, and queries the structural influencing parameters corresponding to each cable structure in the database. The terminal extracts the influencing parameter features of each structural influencing parameter respectively, and calculates the similarity between the parameter features of each model parameter and each influencing parameter feature respectively. Among them, the similarity calculation algorithm is the cosine similarity calculation algorithm. The terminal screens the model parameters corresponding to each structural influencing parameter based on each similarity. Specifically, the terminal screens the model parameters corresponding to the parameter features corresponding to the maximum similarity between the influencing parameter features of each structural influencing parameter as the model parameters corresponding to each structural influencing parameter. Among them, the influencing parameter features are the structural features of the affected cable structure.

[0087] Based on the structural influencing parameters corresponding to each cable structure and the model parameters corresponding to each structural influencing parameter, the terminal identifies the structural correspondence between each model parameter and each structural image of the model visualization structure diagram. The structural correspondence not only includes the correspondence between the model parameter and the structural image, but also includes the correspondence between the parameter change value of each model parameter and the image adjustment value of the structural image.

[0088] Based on the above scheme, the correspondence between each model parameter and the structural image is identified through similarity recognition, which improves the accuracy of identifying the corresponding relationship.

[0089] Optionally, the method also includes: obtaining actual interface interaction parameters of the target co-directional parallel cables input by the user on the cable current imbalance analysis interactive platform, and generating a target cable load model required by the user and a visual structural model of the target co-directional parallel cables based on the actual interface interaction parameters and the cable current imbalance analysis interactive platform; calculating the target current imbalance corresponding to the target cable load model and the current imbalance change distribution information of the target cable load model based on the cable current imbalance calculation module of the cable current imbalance analysis interactive platform; generating a current imbalance analysis result of the target co-directional parallel cable based on the target current imbalance and the current imbalance change distribution information, and displaying the current imbalance analysis result in the visual structural model.

[0090] In this embodiment, the terminal obtains the actual interface interaction parameters of the target parallel cable in the same direction input by the user on the cable current imbalance analysis interactive platform, and based on the actual interface interaction parameters and the cable current imbalance analysis interactive platform, generates the target cable load model required by the user and the visual structure model of the target parallel cable in the same direction. Among them, the actual interface interaction parameters are the actual parameter values ​​of the user-required cable in each interface interaction parameter. Then, based on the cable current imbalance calculation module of the cable current imbalance analysis interactive platform, the terminal calculates the target current imbalance corresponding to the target cable load model and the current imbalance change distribution information of the target cable load model. Among them, the calculation method of the target current imbalance is a conventional current imbalance calculation formula. The current imbalance change distribution information is the distribution information between the real-time simulated current value change and the real-time calculated current imbalance change.

[0091] Based on the target current imbalance and the distribution information of the change of current imbalance, the terminal generates the current imbalance analysis results of the target parallel cables in the same direction, and displays the current imbalance analysis results in the visual structure model. Among them, the current imbalance analysis results include the current imbalance between each cable and the early warning results of whether the current imbalance exceeds the threshold. Among them, the cable current imbalance analysis interactive platform can also predict the alarm events of each parallel cable in the same direction based on the historical calculation data of different parallel cables in the same direction. The alarm event includes information such as alarm time, alarm level, and alarm content. The historical calculation data includes calculation time, parameter settings, calculation results, and historical alarm events.

[0092] Based on the above scheme, the analysis results of the current imbalance of different parallel cables in the same direction are visualized through the cable current imbalance analysis interactive platform, which avoids the problem of being unable to identify the imbalance data of the parallel cables in the same direction in real time, thereby making the current imbalance analysis less intuitive. This makes it possible to accurately analyze the current imbalance of each parallel cable in the same direction as required by the user, and to visually understand the current imbalance distribution of the parallel cables in the same direction, thereby improving the user's intuitive experience of the current imbalance analysis.

[0093] This application also provides a visual analysis example of cable current imbalance, such as Figure 4 As shown, the specific processing process includes the following steps:

[0094] Step S401, obtaining cable parameters of a plurality of cables connected in parallel in the same direction and interface parameter information of a user interaction front-end interface.

[0095] Step S402: for each parallel cable connected in the same direction, historical current carrying data of the parallel cable connected in the same direction is obtained, and based on the parameters of each cable, parameter values ​​of each cable parameter type of the parallel cable connected in the same direction are identified.

[0096] Step S403, based on the parameter value of the cable parameter type being the cable structure parameter, a cable structure model of the same-direction parallel cables is constructed through a cable modeling program, and based on the parameter value of each cable parameter type, each model parameter in the cable structure model is adjusted to obtain an initial cable load model of the same-direction parallel cables.

[0097] Step S404, based on the initial cable load model and the historical current-carrying data of the co-directional parallel cables, the model accuracy of the initial cable load model is identified, and when the model accuracy is lower than the preset accuracy, the cable parameters of the co-directional parallel cables are re-acquired, and the step of identifying the parameter value of each cable parameter type of the co-directional parallel cables based on each cable parameter is returned to execute, until the model accuracy is not lower than the preset accuracy, and the initial cable load model obtained by the last iteration is used as the cable load model of the co-directional parallel cables.

[0098] Step S405: extracting the interface identification information of each interface interaction parameter and the interaction function of each interface interaction parameter from the interface parameter information.

[0099] Step S406, based on the interface identification information of each interface interaction parameter, the semantic information corresponding to each interface identification information is extracted through a semantic recognition network, and based on the interactive function of each interface interaction parameter, the parameter adjustment method of each interface interaction parameter is identified.

[0100] Step S407: identifying the interaction meaning corresponding to each interface interaction parameter based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment method of each interface interaction parameter.

[0101] Step S408, for each cable load model, identifying the parameter characteristics of each model parameter of the cable load model, and based on the interaction meaning corresponding to each interface interaction parameter, identifying the cable structure parameter adjusted by each interface interaction parameter.

[0102] Step S409, based on the parameter characteristics of each model parameter, identify the cable structure parameters corresponding to each model parameter, and based on the cable structure parameters corresponding to each model parameter and the cable structure parameters adjusted by each interface interaction parameter, identify the interaction relationship between each interaction parameter and each model parameter of the cable load model.

[0103] Step S410: for each model visualization structure diagram, identifying the cable structure corresponding to each structure image in the visualization structure diagram, and querying the structural influencing parameters corresponding to each cable structure in the database.

[0104] Step S411 , extracting the influencing parameter features of each structural influencing parameter respectively, and calculating the similarity between the parameter features of each model parameter and each influencing parameter feature respectively.

[0105] Step S412, based on each similarity, the model parameters corresponding to each structural influencing parameter are screened, and based on the structural influencing parameters corresponding to each cable structure and the model parameters corresponding to each structural influencing parameter, the structural correspondence between each model parameter and each structural image of the model visualization structure diagram is identified.

[0106] Step S413, based on the interactive relationship, structural correspondence, interface parameter information, and each cable load model, a cable current imbalance analysis interactive platform is constructed through the cable current imbalance calculation model, and based on the cable current imbalance analysis interactive platform, a cable current imbalance visualization analysis task is performed.

[0107] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0108] Based on the same inventive concept, the embodiment of the present application also provides a visual analysis device for cable current imbalance for implementing the visual analysis method for cable current imbalance involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the visual analysis device for cable current imbalance provided below can refer to the limitations of the visual analysis method for cable current imbalance above, and will not be repeated here.

[0109] In one embodiment, Figure 5 As shown, a visual analysis device for cable current imbalance is provided, comprising: an acquisition module 510, an identification module 520, a simulation module 530 and an evaluation module 540, wherein:

[0110] An acquisition module 510 is used to acquire shielding structure data of cables of different models based on cable braided shielding structure design, and to construct a cable shielding layer model of each cable based on the shielding structure data of each cable;

[0111] An identification module 520 is used to identify the distribution parameter information of each cable shielding layer based on the model parameters in each cable shielding layer model, and identify each target model parameter of each cable shielding layer model through a parameter optimization strategy based on each model parameter and each distribution parameter information;

[0112] The simulation module 530 is used to simulate the current transmission process of each cable shielding layer model through an electromagnetic field simulation model to obtain the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model;

[0113] The evaluation module 540 is used to identify the comprehensive evaluation results of each cable based on the electromagnetic shielding effect of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, and use the target model parameters corresponding to each cable and the comprehensive evaluation results of each cable as the design scheme evaluation information of each cable.

[0114] Optionally, the acquisition module 510 is specifically configured to:

[0115] For each cable, based on the shielding structure data, identifying a data value of each shielding structure type;

[0116] Based on the data value of each shielding structure type, a cable shielding layer model of each cable is constructed through a model construction strategy.

[0117] Optionally, the identification module 520 is specifically configured to:

[0118] Obtain parameter calculation formulas for different distribution parameters and model parameter requirement information for each distribution parameter, and identify each parameter type corresponding to each model parameter requirement information;

[0119] For each cable shielding layer model, identifying the parameter type corresponding to each model parameter in the cable shielding layer model, and based on the parameter type corresponding to each model parameter, identifying the model parameter of each distributed parameter requirement;

[0120] Based on the model parameters required for each distribution parameter and the parameter calculation formula of each distribution parameter, the parameter value of each distribution parameter is calculated, and the parameter values ​​of all distribution parameters are used as the distribution parameter information of the cable shielding layer corresponding to the cable shielding layer model.

[0121] Optionally, the identification module 520 is specifically configured to:

[0122] Obtaining the cable shielding requirement parameters of each cable model, and for each cable shielding layer model, based on the model parameters of the cable shielding layer model and the distribution parameter information of the cable shielding layer model, calculating the new model parameters of the cable shielding layer model and the cable shielding parameters corresponding to the new model parameters by optimizing the parameter algorithm;

[0123] In the case where there are cable shielding parameters that are lower than the cable shielding requirement parameters, the new model parameters corresponding to the cable shielding parameters replace the model parameters, and the step of identifying the parameter type corresponding to each model parameter in the cable shielding layer model is returned to execute, until all cable shielding parameters are greater than the cable shielding requirement parameters, and the new model parameters obtained in the last iteration are used as the target model parameters.

[0124] Optionally, the simulation module 530 is specifically used for:

[0125] Based on the target model parameters of each cable shielding layer model, each cable shielding layer model is adjusted to obtain each target cable shielding layer model, and for each target cable shielding layer model, the current transmission process of the cable shielding layer model is simulated through an electromagnetic field simulation model to obtain the transmission information of the target cable shielding layer model and the electromagnetic distribution information of the target cable shielding layer model;

[0126] Based on the transmission information, identifying transmission index values ​​of different transmission types, and based on the electromagnetic distribution information, identifying shielding index values ​​of each electromagnetic shielding type;

[0127] The transmission index value of each of the transmission types is used as the cable transmission characteristic of the cable shielding layer model, and the shielding index value of each of the electromagnetic shielding types is used as the electromagnetic shielding effect of the cable shielding layer model.

[0128] Optionally, the evaluation module 540 is specifically configured to:

[0129] Based on each target model parameter of each cable shielding layer model, calculating the cost information of the cable shielding layer corresponding to each cable shielding layer model;

[0130] Based on the transmission index value of each cable shielding layer model in each of the transmission types, a transmission evaluation result of each cable shielding layer is identified through a transmission index evaluation strategy, and based on the shielding index value of each cable shielding layer model in each of the electromagnetic shielding types, a shielding evaluation result of each cable shielding layer is identified through a shielding index evaluation strategy;

[0131] Based on the cost information of each cable shielding layer, the cost evaluation result of each cable shielding layer is calculated, and based on the transmission evaluation result of each cable shielding layer, the shielding evaluation result of each cable shielding layer, and the cost evaluation result of each cable shielding layer, the comprehensive evaluation result of each cable shielding layer is determined.

[0132] Each module in the above-mentioned visual analysis device for cable current imbalance can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0133] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a visual analysis method of cable current imbalance is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0134] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0135] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0137] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0138] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0139] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0140] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0141] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A visual analysis method for cable current imbalance, characterized in that: The method comprises: Acquire the cable parameters of multiple cables connected in parallel in the same direction and the interface parameter information of the user interaction front-end interface, and construct a cable load model of each cable connected in parallel in the same direction based on the cable parameters of each cable connected in parallel in the same direction; Based on the interface parameter information, identifying the interaction meaning of each interface interaction parameter, and identifying the interaction relationship between each interaction parameter and each model parameter of each cable load model; Generate a model visualization structure diagram of each cable load model, and construct a structural correspondence between each model parameter and each structural image of the model visualization structure diagram; Based on the interactive relationship, the structural correspondence, the interface parameter information, and each of the cable load models, a cable current imbalance analysis interactive platform is constructed through a cable current imbalance calculation model, and based on the cable current imbalance analysis interactive platform, a cable current imbalance visualization analysis task is performed.

2. The method according to claim 1, characterized in that: The method of constructing a cable load model of each co-directional parallel cable based on the cable parameters of each co-directional parallel cable includes: For each parallel cable connected in the same direction, historical current carrying data of the parallel cable connected in the same direction is obtained, and based on the cable parameters, parameter values ​​of each cable parameter type of the parallel cable connected in the same direction are identified; Based on the parameter value of the cable parameter type being the cable structure parameter, a cable structure model of the parallel cables in the same direction is constructed through a cable modeling program, and based on the parameter value of each cable parameter type, each model parameter in the cable structure model is adjusted to obtain an initial cable load model of the parallel cables in the same direction; Based on the initial cable load model and the historical current-carrying data of the co-directional parallel cables, the model accuracy of the initial cable load model is identified, and when the model accuracy is lower than a preset accuracy, the cable parameters of the co-directional parallel cables are reacquired, and the step of identifying the parameter value of each cable parameter type of the co-directional parallel cables based on the cable parameters is returned to execute, until the model accuracy is not lower than the preset accuracy, and the initial cable load model obtained by the last iteration is used as the cable load model of the co-directional parallel cables.

3. The method according to claim 2, characterized in that The identifying the interaction meaning of each interface interaction parameter based on the interface parameter information includes: Extracting interface identification information of each interface interaction parameter and the interaction function of each interface interaction parameter from the interface parameter information; Based on the interface identification information of each interface interaction parameter, the semantic information corresponding to each interface identification information is extracted through a semantic recognition network, and based on the interactive function of each interface interaction parameter, the parameter adjustment method of each interface interaction parameter is identified; Based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment method of each interface interaction parameter, the interaction meaning corresponding to each interface interaction parameter is identified.

4. The method according to claim 1, characterized in that: The identifying the interaction relationship between each interaction parameter and each model parameter of each cable load model includes: For each cable load model, identifying the parameter characteristics of each model parameter of the cable load model, and based on the interaction meaning corresponding to each interface interaction parameter, identifying the cable structure parameter adjusted by each interface interaction parameter; Based on the parameter characteristics of each model parameter, the cable structure parameters corresponding to each model parameter are identified, and based on the cable structure parameters corresponding to each model parameter and the cable structure parameters adjusted by each interface interaction parameter, the interaction relationship between each interaction parameter and the model parameters of the cable load model is identified.

5. The method according to claim 1, characterized in that: The step of constructing a structural correspondence between each model parameter and each structural image of the model visualization structure diagram includes: For each model visualization structure diagram, identify the cable structure corresponding to each structure image in the visualization structure diagram, and query the structural influencing parameters corresponding to each cable structure in the database; Extract the influencing parameter features of each structural influencing parameter respectively, and calculate the similarity between the parameter features of each model parameter and each influencing parameter feature respectively; Based on the similarities, the model parameters corresponding to each structural influencing parameter are screened, and based on the structural influencing parameters corresponding to each cable structure and the model parameters corresponding to each structural influencing parameter, the structural correspondence between each model parameter and each structural image of the model visualization structure diagram is identified.

6. The method according to claim 1, characterized in that The method further comprises: Acquire each actual interface interaction parameter of the target co-directional parallel cable input by the user on the cable current unbalance analysis interactive platform, and generate the target cable load model required by the user and the visual structure model of the target co-directional parallel cable based on each actual interface interaction parameter and the cable current unbalance analysis interactive platform; Based on the cable current imbalance calculation module of the cable current imbalance analysis interactive platform, calculate the target current imbalance corresponding to the target cable load model and the current imbalance change distribution information of the target cable load model; Based on the target current imbalance and the current imbalance change distribution information, a current imbalance analysis result of the target co-directional parallel cable is generated, and the current imbalance analysis result is displayed in the visual structure model.

7. A visual analysis device for cable current imbalance, characterized in that: The device comprises: An acquisition module, used to acquire cable parameters of multiple parallel cables in the same direction and interface parameter information of a user interactive front-end interface, and to construct a cable load model of each parallel cable in the same direction based on the cable parameters of each parallel cable in the same direction; An identification module, used to identify the interaction meaning of each interface interaction parameter based on the interface parameter information, and to identify the interaction relationship between each interaction parameter and each model parameter of each cable load model; A construction module is used to generate a model visualization structure diagram of each cable load model, and to construct a structural correspondence between each model parameter and each structural image of the model visualization structure diagram; An execution module is used to construct a cable current imbalance analysis interactive platform based on the interactive relationship, the structural correspondence, the interface parameter information, and each cable load model through a cable current imbalance calculation model, and perform a cable current imbalance visualization analysis task based on the cable current imbalance analysis interactive platform.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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