Method and device for visual analysis of cable current-carrying unbalance

Abstract

The application relates to a cable current-carrying imbalance degree visual analysis method and device. The method comprises the following steps: acquiring cable parameters of a plurality of homopolar parallel cables and interface parameter information of a user interactive front-end interface, and constructing a cable load model of each homopolar parallel cable; based on the interface parameter information, the interactive meaning of each interface interactive parameter is identified, and the interactive relationship between each interactive parameter and each model parameter is identified; a model visual structure diagram of each cable load model is generated, and a structure corresponding relationship between each model parameter and each structure diagram is constructed; based on the above information, a cable current-carrying imbalance degree analysis interactive platform is constructed through a cable current-carrying imbalance degree calculation model, and a visual analysis task of the cable current-carrying imbalance degree is executed based on the cable current-carrying imbalance degree analysis interactive platform. The method can improve the user intuitive experience effect of the current-carrying imbalance degree analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of homopolar parallel cable, and particularly relates to a method and device for visual analysis of cable current imbalance. BACKGROUND

[0002] The current three-phase imbalance of homopolar parallel cable can cause many hazards to the system. The three-phase imbalance can cause uneven utilization of the rated capacity of the equipment, resulting in some equipment being overloaded while other equipment is underloaded. This can cause the service life of the equipment to be shortened or even damaged. In particular for electric motors, the unbalanced current can cause the temperature of the electric motor to rise, thereby accelerating the aging of the winding and the damage to the insulation; it can cause the active power and reactive power in the system to be distributed unbalancedly, thereby reducing the overall power factor of the system. Therefore, based on the hazards of three-phase imbalance to the power system, the importance of analyzing the current imbalance is obvious.

[0003] The traditional analysis of current imbalance is based on the current data of the parallel cable of each phase, and the current imbalance of homopolar parallel cable is identified through processes such as simulation modeling and analog transmission. However, this method can only directly determine whether there is three-phase imbalance, and cannot identify the imbalance data of homopolar parallel cable in real time, which makes the intuitiveness of the analysis of current imbalance poor, and thus the user's intuitive experience of the analysis of current imbalance is poor. SUMMARY

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

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

[0006] obtaining shielding structure data of different types of cables based on the cable braided shielding structure design, and constructing a cable shielding layer model of each cable based on the shielding structure data of each cable;

[0007] identifying distribution parameter information of each cable shielding layer based on model parameters in each cable shielding layer model, and 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;

[0008] simulating 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;

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

[0010] Optionally, the cable shielding layer model of each cable is constructed based on the shielding structure data of each cable, and the method comprises the following steps.

[0011] For each cable, data values of each shielding structure type are identified based on the shielding structure data.

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

[0013] Optionally, the distribution parameter information of each cable shielding layer is identified based on the model parameters in the cable shielding layer model, and the method comprises the following steps.

[0014] Parameter calculation formulas of different distribution parameters and model parameter requirement information of each distribution parameter are obtained, and parameter types corresponding to each model parameter requirement information are identified.

[0015] For each cable shielding layer model, the parameter types corresponding to each model parameter in the cable shielding layer model are identified, and model parameters required by each distribution parameter are identified based on the parameter types corresponding to each model parameter.

[0016] Based on the model parameters required by each distribution parameter and the parameter calculation formulas of each distribution parameter, parameter values of each distribution parameter are calculated, and the parameter values of all distribution parameters are taken as the distribution parameter information of the cable shielding layer corresponding to the cable shielding layer model.

[0017] Optionally, each target model parameter of each cable shielding layer model is identified through a parameter optimization strategy based on the model parameters and the distribution parameter information, and the method comprises the following steps.

[0018] Each cable shielding requirement parameter of each model cable is obtained, and for each cable shielding layer model, each new model parameter of the cable shielding layer model and each cable shielding parameter corresponding to each new model parameter are calculated through an optimization parameter algorithm based on the model parameters of the cable shielding layer model and the distribution parameter information of the cable shielding layer model.

[0019] In the presence of cable shielding parameters below the cable shielding requirement parameters, the new model parameters corresponding to the cable shielding parameters are replaced by 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. 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 the 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 target cable shielding layer models, and for each target cable shielding layer model, the current transmission process of the cable shielding layer model is simulated by the 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, transmission indicator values of different transmission types are identified, and based on the electromagnetic distribution information, shielding indicator values of each electromagnetic shielding type are identified;

[0023] The transmission indicator values of each transmission type are used as the cable transmission characteristics of the cable shielding layer model, and the shielding indicator values of each electromagnetic shielding type are used as the electromagnetic shielding effect of the cable shielding layer model.

[0024] Optionally, 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, including:

[0025] Based on the target model parameters of each cable shielding layer model, the cost information of the cable shielding layer corresponding to each cable shielding layer model is calculated;

[0026] Based on the transmission indicator values of each cable shielding layer model in each transmission type, a transmission evaluation strategy is used to identify the transmission evaluation result of each cable shielding layer, and based on the shielding indicator values of each cable shielding layer model in each electromagnetic shielding type, a shielding evaluation strategy is used to identify the shielding evaluation result of each cable shielding layer;

[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 device for visualizing analysis of cable current-carrying unbalance. The device comprises:

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

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

[0031] An emulation module is configured to simulate a current transmission process of each cable shielding layer model through an electromagnetic field simulation model, and obtain electromagnetic shielding effects of each cable shielding layer model and cable transmission characteristics of each cable shielding layer model.

[0032] An evaluation module is configured to identify a comprehensive evaluation result of each cable based on the electromagnetic shielding effects of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, and take each target model parameter corresponding to each cable and the comprehensive evaluation result of each cable as design scheme evaluation information of each cable.

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

[0034] For each cable, identify data values of each shielding structure type based on the shielding structure data.

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

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

[0037] Acquire parameter calculation formulas of different distribution parameters and model parameter requirement information of each distribution parameter, and identify each parameter type corresponding to each model parameter requirement information.

[0038] For each cable shielding layer model, identify a parameter type corresponding to each model parameter in the cable shielding layer model, and identify a model parameter required by each distribution parameter based on the parameter type corresponding to each model parameter.

[0039] Based on the model parameter required by each distribution parameter and the parameter calculation formula of each distribution parameter, calculate a parameter value of each distribution parameter, and take the parameter values of all distribution parameters as distribution parameter information of a cable shielding layer corresponding to the cable shielding layer model.

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

[0041] obtaining cable shielding requirement parameters of each cable model, and calculating, for each cable shielding layer model, new model parameters of the cable shielding layer model and each new model parameter corresponding to each cable shielding parameter based on model parameters of the cable shielding layer model and distribution parameter information of the cable shielding layer model through an optimization parameter algorithm;

[0042] in a case where there is a cable shielding parameter lower than a cable shielding requirement parameter, replacing each new model parameter corresponding to the cable shielding parameter with each model parameter, and returning to perform the step of identifying the parameter type corresponding to each model parameter in the cable shielding layer model until all cable shielding parameters are greater than the cable shielding requirement parameter, and taking each new model parameter obtained through the last iteration as each target model parameter.

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

[0044] adjusting each cable shielding layer model based on each target model parameter of each cable shielding layer model to obtain each target cable shielding layer model, and simulating, for each target cable shielding layer model, a current transmission process of the cable shielding layer model through an electromagnetic field simulation model to obtain transmission information of the target cable shielding layer model and electromagnetic distribution information of the target cable shielding layer model;

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

[0046] taking each transmission index value of each transmission type as a cable transmission characteristic of the cable shielding layer model, and taking each shielding index value of each electromagnetic shielding type as an electromagnetic shielding effect of the cable shielding layer model.

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

[0048] calculating cost information of a cable shielding layer corresponding to each cable shielding layer model based on each target model parameter of each cable shielding layer model;

[0049] identifying a transmission evaluation result of each cable shielding layer through a transmission index evaluation strategy based on transmission index values of each transmission type of each cable shielding layer model, and identifying a shielding evaluation result of each cable shielding layer through a shielding index evaluation strategy based on shielding index values of each electromagnetic shielding type of each cable shielding layer model;

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

[0051] In a third aspect, the present application provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method in any one of the first aspect when executing the computer program.

[0052] In a fourth aspect, the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program implements the steps of the method in any one of the first aspect when executed by a processor.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product comprises a computer program, and the computer program implements the steps of the method in any one of the first aspect when executed by a processor.

[0054] The above-mentioned cable current imbalance visualization analysis method and device, by acquiring the cable parameters of a plurality of parallel cables and the interface parameter information of a user interaction front-end interface, and based on the cable parameters of each parallel cable, constructing a cable load model of each parallel cable; 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; generating a model visualization structure diagram of each cable load model, and constructing a structure correspondence relationship between each model parameter and each structure image of the model visualization structure diagram; based on the interaction relationship, the structure correspondence relationship, the interface parameter information, and each cable load model, constructing a cable current imbalance analysis interaction platform through a cable current imbalance calculation model. In this scheme, by constructing a cable load model combining the cable parameters of a plurality of parallel cables, the corresponding relationship between the interface parameter information and the model parameters of the cable load model of each parallel cable is constructed, so that the user can directly input the demand data of the model parameters of the parallel cable, thereby not only can the current imbalance distribution state of the parallel cable and the visualization analysis result of the current imbalance of the parallel cable be directly observed, but also the problem of poor intuitiveness of current imbalance analysis is solved, so that the current imbalance of each parallel cable required by the user can be accurately analyzed, and the current imbalance distribution of the parallel cable can be visually and intuitively understood, thereby improving the user's intuitive experience effect of current imbalance analysis. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 A flowchart of a method for visual analysis of cable current-carrying imbalance in an embodiment;

[0056] Figure 2 An interface diagram of a user interaction front end interface of an interactive platform for analyzing cable current-carrying imbalance in an embodiment;

[0057] Figure 3 A structure diagram of a visual structure diagram of a homopolar parallel cable in an embodiment;

[0058] Figure 4 A flowchart of a visual analysis example of cable current-carrying imbalance in an embodiment;

[0059] Figure 5 A structure block diagram of a visual analysis device for cable current-carrying imbalance in an embodiment;

[0060] Figure 6 An internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0061] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0062] The visual analysis method for cable current-carrying imbalance provided by the embodiments of the present application can be applied to the application environment of analyzing the current-carrying imbalance of a homopolar parallel cable. The method is applied to an interactive platform for analyzing cable current-carrying imbalance, which can be a terminal or a server. The terminal constructs a cable load model by combining the cable parameters of a plurality of homopolar parallel cables, constructs a corresponding relationship between the interface parameter information and the model parameter of the cable load model of each homopolar parallel cable, and enables the user to directly input the demand data for the model parameters of the homopolar parallel cable, so that the user can directly observe the current-carrying imbalance distribution state of the homopolar parallel cable and the visual analysis result of the current-carrying imbalance of the homopolar parallel cable, avoids the problem that the imbalance data of the homopolar parallel cable cannot be identified in real time, and enables the user to accurately analyze the current-carrying imbalance of the homopolar parallel cable and visually understand the current-carrying imbalance distribution state of the homopolar parallel cable, thereby improving the user's intuitive experience effect of the current-carrying imbalance analysis.

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

[0064] In step S101, the terminal obtains the cable parameters of each cable of the plurality of parallel cables and the interface parameter information of the user interaction front-end interface, and constructs a cable load model of each parallel cable based on the cable parameters of each parallel cable.

[0065] In this embodiment, the terminal obtains the cable parameters of different cable models and different cable grades in response to the parameter uploading operation of the staff. Specifically, the above-mentioned cable parameters include the line parameters of different voltage grades, the cable models of different cable models of different voltage grades (specific parameters include the inner diameter of different models of conductors, the outer radius of the conductors, the resistivity of the conductor material, the relative permeability of the conductor material, the relative permeability of the conductor external insulator material, the relative permittivity of the conductor external insulator material, the thickness of the internal semiconductor layer, the thickness of the external semiconductor layer, the ground resistivity, the frequency for calculating the line parameters, the line length, etc.), different grounding modes (different grounding modes are set according to the actual situation of the system), whether to add the skin effect option (whether to add the skin effect option in the model is determined according to the selection of the staff), different loop numbers, and the corresponding parameters of whether to cross-link. Then, the terminal obtains the interface parameter information of the user interaction front-end interface of the initial cable current-carrying imbalance analysis interactive platform based on the initially constructed initial cable current-carrying imbalance analysis interactive platform, such as Figure 2 As shown, it is an interface schematic diagram of the user interaction front-end interface of the cable current-carrying imbalance analysis interactive platform, which includes the layout, function buttons, menu bar and other elements of the designed interface. Each element corresponds to an interface interaction parameter, and the interface interaction parameter includes the parameters of the interaction region corresponding to the interactive behaviors such as user button clicking, information inputting and searching. Then, the terminal constructs the cable load model of each parallel cable based on the cable parameters of each parallel cable through the ATP-EMTP software. The specific construction process will be described in detail later.

[0066] In step S102, the terminal identifies the interaction meaning of each interface interaction parameter based on the interface parameter information, and identifies the interaction relationship between each interaction parameter and each model parameter of each cable load model.

[0067] In this embodiment, the terminal identifies the interaction meaning of each interface interaction parameter based on the interface parameter information, and identifies the interaction relationship between each interaction parameter and each model parameter of each cable load model. The interaction meaning includes interaction mode and interaction purpose. For example, adjusting the model parameter of the model by clicking the button; adjusting the model load by inputting data; querying the structure parameter of the model by searching; calculating the current unbalance degree of the model by clicking the button, etc. The interaction relationship is the model parameter of the model corresponding to each interface interaction parameter, and the interaction relationship includes adjustment interaction, display interaction, execution interaction, etc. The specific identification process will be described in detail later.

[0068] In step S103, the model visualization structure diagram of each cable load model is generated, and the structure corresponding relationship between each model parameter and each structure image of the model visualization structure diagram is constructed.

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

[0070] In step S104, based on the interaction relationship, the structure corresponding relationship, the interface parameter information, and each cable load model, the cable current unbalance degree analysis interaction platform is constructed through the cable current unbalance degree calculation model, and the visual analysis task of the cable current unbalance degree is executed based on the cable current unbalance degree analysis interaction platform.

[0071] In this embodiment, the terminal constructs the cable current unbalance degree analysis interaction platform through the cable current unbalance degree calculation model based on the interaction relationship, the structure corresponding relationship, the interface parameter information, and each cable load model, and executes the visual analysis task of the cable current unbalance degree based on the cable current unbalance degree analysis interaction platform.

[0072] Based on the above scheme, by combining the cable load model constructed based on the cable parameters of each of the plurality of parallel cables, the corresponding relationship between the interface parameter information, the visual structure diagram of each model, and the model parameters of each parallel cable is constructed, so that the user can directly input the demand data of each model parameter of the parallel cable. Therefore, the current carrying unbalance degree distribution state of the parallel cable can be directly observed, and the visual analysis result of the current carrying unbalance degree of the parallel cable is obtained, which avoids the problem that the unbalance data of the parallel cable cannot be identified in real time, so that the intuitiveness of the current carrying unbalance degree analysis is poor. Therefore, the current carrying unbalance degree of each parallel cable required by the user can be accurately analyzed, and the current carrying unbalance degree distribution of the parallel cable can be visually and intuitively understood, thereby improving the user's intuitive experience effect of the current carrying unbalance degree analysis.

[0073] Optionally, based on the cable parameters of each parallel cable, the cable load model of each parallel cable is constructed, including: for each parallel cable, obtaining the historical current carrying data of the parallel cable, and based on the cable parameters, identifying the parameter values of each cable parameter type of the parallel cable; based on the parameter values of the cable parameter type as the cable structure parameter, constructing the cable structure model of the parallel cable through the cable modeling program, and based on the parameter values of each cable parameter type, adjusting each model parameter in the cable structure model to obtain the initial cable load model of the parallel cable; based on the initial cable load model and the historical current carrying data of the parallel cable, identifying the model accuracy of the initial cable load model, and when the model accuracy is lower than the preset accuracy, re-obtaining the cable parameters of the parallel cable, returning to execute the step of identifying the parameter values of each cable parameter type of the parallel cable based on the cable parameters until the model accuracy is not lower than the preset accuracy. The initial cable load model obtained by the last iteration is taken as the cable load model of the parallel cable.

[0074] In this embodiment, the terminal obtains the historical current-carrying data of the parallel cable for each parallel cable, and identifies the parameter values of each cable parameter type of the parallel cable based on the cable parameters. Then, the terminal constructs a cable structure model of the parallel cable based on the parameter values of the cable structure parameters of the cable parameter types through a cable modeling program. The cable modeling program becomes a program for model construction based on the ATP-EMTP software. Then, the terminal adjusts the model parameters in the cable structure model based on the parameter values of each cable parameter type to obtain an initial cable load model of the parallel cable. 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 cable. The model accuracy of the initial cable load model is identified by inputting the input data in the historical current-carrying data into the initial cable load model to simulate the operation of the initial cable load model, and then determining the deviation between the simulation result of the initial cable load model and the true result in the historical current-carrying data, so as to determine the model accuracy of the initial cable load model.

[0075] When the model accuracy is lower than the preset accuracy, the terminal re-obtains the cable parameters of the parallel cable, returns to the step of identifying the parameter values of each cable parameter type of the parallel cable based on the cable parameters, and iterates until the model accuracy is not lower than the preset accuracy. The initial cable load model obtained in the last iteration is taken as the cable load model of the parallel cable. The preset accuracy is a model accuracy preset in the terminal.

[0076] Based on the above scheme, the 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 interaction meaning of each interface interaction parameter is identified, including: in the interface parameter information, extracting the interface identification information of each interface interaction parameter and the interaction function of each interface interaction parameter; 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 identifying the parameter adjustment mode of each interface interaction parameter based on the interaction function of each interface interaction parameter; based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment mode of each interface interaction parameter, identifying the interaction 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 interaction function of each interface interaction parameter in 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 a text recognition network. Then, the terminal takes the text content as the interface identification information of the interface interaction parameter, and then queries the interaction function corresponding to each interface identification information in the interface parameter database to obtain the interaction function of the interface interaction parameter corresponding to each interface identification information. The interface identification information of the interface interaction parameter is, for example, the interaction topic in each interaction range, such as selection of voltage level, selection of cable model, selection of grounding mode, etc. The interaction function of each interface interaction parameter is used to represent the interaction mode and the interaction purpose corresponding to the interaction parameter. Figure 2

[0079] The terminal extracts the semantic information corresponding to each interface identification information through a semantic recognition network based on the interface identification information of each interface interaction parameter, and identifies the parameter adjustment mode of each interface interaction parameter based on the interaction 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 mode of each interface interaction parameter. Different semantic information and different parameter adjustment modes correspond to different interaction meanings 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 the 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, the interaction relationship between each interaction parameter and each model parameter of the cable load model is identified, including: for each cable load model, identifying the parameter characteristics of each model parameter of the cable load model, and identifying the cable structure parameter adjusted by each interface interaction parameter based on the interaction meaning corresponding to each interface interaction parameter; identifying the cable structure parameter corresponding to each model parameter based on the parameter characteristics of each model parameter; and identifying 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.

[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 parameter 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 the adjustment parameter of each cable load structure, the cable structure parameter adjusted by the interface interaction parameter is the cable load structure parameter; if the interface interaction parameter is the adjustment parameter of each cable current carrying data, the cable structure parameter adjusted by the interface interaction parameter is the cable current carrying data parameter. Then, the terminal identifies the cable structure parameter corresponding to each model parameter based on the parameter characteristics of each model parameter. 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. The parameter characteristics are the structure characteristics of the cable structure corresponding to the model parameter, and the parameter characteristics of each model parameter are pre-set 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. 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, the interaction relationship between each interaction parameter and each model parameter of the cable load model is identified by identifying the interaction meaning and the corresponding relationship between the model parameter and the cable structure parameter, thereby improving the accuracy of identifying the interaction relationship.

[0085] Optionally, the structure corresponding relationship between each model parameter and each structure image of the model visual structure diagram is constructed, including: for each model visual structure diagram, identifying the cable structure corresponding to each structure image in the visual structure diagram, and querying the structure influence parameter corresponding to each cable structure in the database; extracting the influence parameter characteristics of each structure influence parameter respectively, and calculating the similarity between the parameter characteristics of each model parameter and each influence parameter characteristics respectively; based on the similarities, filtering the model parameter corresponding to each structure influence parameter, and identifying the structure corresponding relationship between each model parameter and each structure image of the model visual structure diagram based on the structure influence parameter corresponding to each cable structure and the model parameter corresponding to each structure influence parameter.

[0086] In this embodiment, the terminal visualizes the structure diagram for each model, identifies the cable structure corresponding to each structure image in the visualized structure diagram, and queries the structure influence parameter corresponding to each cable structure in the database. The terminal extracts the influence parameter feature of each structure influence parameter respectively, and calculates the similarity between the parameter feature of each model parameter and each influence parameter feature respectively. The calculation algorithm of the similarity is the cosine similarity calculation algorithm. The terminal filters the model parameter corresponding to each structure influence parameter based on the similarities. Specifically, the terminal filters the model parameter to which the parameter feature corresponding to the maximum similarity between the influence parameter feature of each structure influence parameter belongs, as the model parameter corresponding to each structure influence parameter. The influence parameter feature is the structure feature of the influenced cable structure.

[0087] The terminal identifies the structure correspondence relationship between each model parameter and the structure image of the model visualized structure diagram based on the structure influence parameter corresponding to each cable structure and the model parameter corresponding to each structure influence parameter. The structure correspondence relationship not only includes the correspondence relationship between the model parameter and the structure image, but also includes the correspondence relationship between the parameter change value of each model parameter and the image adjustment value of the structure image.

[0088] Based on the above scheme, the correspondence relationship between each model parameter and the structure image is identified by a similarity recognition method, which improves the accuracy of identifying the correspondence relationship.

[0089] Optionally, the method further includes: obtaining each actual interface interaction parameter of the target parallel cable input by the user in the cable current unbalance degree analysis interactive platform, and based on each actual interface interaction parameter, generating the target cable load model and the visualized structure model of the target parallel cable based on the cable current unbalance degree analysis interactive platform according to the user's demand; calculating the target current unbalance degree corresponding to the target cable load model and the current unbalance degree change distribution information of the target cable load model based on the cable current unbalance degree calculation module of the cable current unbalance degree analysis interactive platform; generating the current unbalance degree analysis result of the target parallel cable based on the target current unbalance degree and the current unbalance degree change distribution information, and displaying the current unbalance degree analysis result in the visualized structure model.

[0090] In this embodiment, the terminal obtains each actual interface interaction parameter of the target parallel cable input by the user on the cable current imbalance analysis interactive platform, and generates a target cable load model and a visual structure model of the target parallel cable based on the cable current imbalance analysis interactive platform based on each actual interface interaction parameter. The actual interface interaction parameter is the actual parameter value of each interface interaction parameter of the cable required by the user. Then, the terminal calculates the target current imbalance 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. The target current imbalance is calculated by the 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] The terminal generates the current imbalance analysis result of the target parallel cable based on the target current imbalance and the current imbalance change distribution information, and displays the current imbalance analysis result in the visual structure model. The current imbalance analysis result includes the current imbalance between each cable and the warning result of whether the current imbalance exceeds the threshold. The cable current imbalance analysis interactive platform can also predict the alarm event of each parallel cable based on the historical calculation data of different parallel cables. The alarm event includes alarm time, alarm level, alarm content and other information. The historical calculation data includes calculation time, parameter setting, calculation result, and historical alarm event.

[0092] Based on the above scheme, the cable current imbalance analysis interactive platform can visually display the analysis result of the current imbalance of different parallel cables, avoiding the problem of poor real-time recognition of the imbalance data of parallel cables, and improving the user's intuitive experience effect of the current imbalance analysis.

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

[0094] Step S401, obtain each cable parameter of a plurality of parallel cables and interface parameter information of a user interaction front end interface.

[0095] Step S402, for each parallel cable, obtain the historical current-carrying data of the parallel cable, and identify the parameter values of each cable parameter type of the parallel cable based on the cable parameters.

[0096] Step S403, based on the parameter values of the cable parameter type being the cable structure parameter, construct a cable structure model of the parallel cable through a cable modeling program, and adjust each model parameter in the cable structure model based on the parameter values of each cable parameter type to obtain an initial cable load model of the parallel cable.

[0097] Step S404, based on the initial cable load model and the historical current-carrying data of the parallel cable, identify the model accuracy of the initial cable load model, and when the model accuracy is lower than the preset accuracy, re-obtain each cable parameter of the parallel cable, return to execute the step of identifying the parameter values of each cable parameter type of the parallel cable based on the cable parameters, and until the model accuracy is not lower than the preset accuracy, take the initial cable load model obtained in the last iteration as the cable load model of the parallel cable.

[0098] Step S405, in the interface parameter information, extract the interface identification information of each interface interaction parameter and the interaction function of each interface interaction parameter.

[0099] Step S406, based on the interface identification information of each interface interaction parameter, extract the semantic information corresponding to each interface identification information through a semantic recognition network, and based on the interaction function of each interface interaction parameter, identify the parameter adjustment mode of each interface interaction parameter.

[0100] Step S407, based on the semantic information corresponding to each interface interaction parameter and the parameter adjustment mode of each interface interaction parameter, identify the interaction meaning corresponding to each interface interaction parameter.

[0101] Step S408, for each cable load model, identify the parameter characteristics of each model parameter of the cable load model, and based on the interaction meaning corresponding to each interface interaction parameter, identify 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 parameter corresponding to each model parameter, and based on the cable structure parameter corresponding to each model parameter and the cable structure parameter 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, identify the cable structure corresponding to each structure image in the visualization structure diagram, and query the structure influence parameter corresponding to each cable structure in the database.

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

[0105] Step S412, based on the similarities, screening the model parameter corresponding to each structural influence parameter, and based on the structural influence parameter corresponding to each cable structure and the model parameter corresponding to each structural influence parameter, identifying a structural correspondence between each model parameter and each structural image of the model visualization structural diagram.

[0106] Step S413, based on the interaction relationship, the structural correspondence, the interface parameter information, and the cable load model, constructing a cable current unbalance degree analysis interaction platform through a cable current unbalance degree calculation model, and based on the cable current unbalance degree analysis interaction platform, performing a visual analysis task of the cable current unbalance degree.

[0107] It should be understood that, although each step in the flowchart involved in the above-described embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in the above-described embodiments can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0108] Based on the same inventive concept, the embodiments of the present application also provide a cable current unbalance degree visualization analysis device for implementing the above-mentioned cable current unbalance degree visualization analysis method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more cable current unbalance degree visualization analysis device embodiments provided below can refer to the limitations of the cable current unbalance degree visualization analysis method described above, which will not be repeated here.

[0109] In one embodiment, as shown in Figure 5 a cable current unbalance degree visualization analysis device is provided, comprising: an acquisition module 510, an identification module 520, a simulation module 530 and an evaluation module 540, wherein:

[0110] The acquisition module 510 is configured to acquire shielding structure data of different types of cables based on cable braid shielding structure designs, and construct a cable shielding layer model of each cable based on the shielding structure data of each cable.

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

[0112] The simulation module 530 is configured to simulate a current transmission process of each cable shielding layer model through an electromagnetic field simulation model, and obtain electromagnetic shielding effects of each cable shielding layer model and cable transmission characteristics of each cable shielding layer model.

[0113] The evaluation module 540 is configured to identify a comprehensive evaluation result of each cable based on the electromagnetic shielding effects of each cable shielding layer model and the cable transmission characteristics of each cable shielding layer model, and take the target model parameters corresponding to each cable and the comprehensive evaluation result of each cable as design scheme evaluation information of each cable.

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

[0115] For each cable, data values of each shielding structure type are identified based on the shielding structure data.

[0116] Based on the data values of each shielding structure type, the 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] Parameter calculation formulas of different distribution parameters and model parameter requirement information of each distribution parameter are acquired, and each parameter type corresponding to each model parameter requirement information is identified.

[0119] For each cable shielding layer model, a parameter type corresponding to each model parameter in the cable shielding layer model is identified, and a model parameter required by each distribution parameter is identified based on the parameter type corresponding to each model parameter.

[0120] Based on the model parameter required by each distribution parameter and the parameter calculation formula of each distribution parameter, a parameter value of each distribution parameter is calculated, and the parameter values of all the distribution parameters are taken 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 cable shielding requirement parameters of each cable model, and calculating, for each cable shielding layer model, new model parameters of the cable shielding layer model and each new model parameter corresponding to each cable shielding parameter based on model parameters of the cable shielding layer model and distribution parameter information of the cable shielding layer model through an optimization parameter algorithm;

[0123] In the case that there is a cable shielding parameter lower than a cable shielding requirement parameter, replacing each new model parameter corresponding to the cable shielding parameter with each model parameter, and returning to perform the step of identifying the parameter type corresponding to each model parameter in the cable shielding layer model until all cable shielding parameters are greater than the cable shielding requirement parameters, and taking each new model parameter obtained in the last iteration as each target model parameter.

[0124] Optionally, the simulation module 530 is specifically configured to:

[0125] adjusting each cable shielding layer model based on each target model parameter of each cable shielding layer model to obtain each target cable shielding layer model, and simulating, for each target cable shielding layer model, a current transmission process of the cable shielding layer model through an electromagnetic field simulation model to obtain transmission information of the target cable shielding layer model and electromagnetic distribution information of the target cable shielding layer model;

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

[0127] taking each transmission index value of each transmission type as a cable transmission characteristic of the cable shielding layer model, and taking each shielding index value of each electromagnetic shielding type as an electromagnetic shielding effect of the cable shielding layer model.

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

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

[0130] identifying a transmission evaluation result of each cable shielding layer through a transmission index evaluation strategy based on each transmission index value of each transmission type of each cable shielding layer model, and identifying a shielding evaluation result of each cable shielding layer through a shielding index evaluation strategy based on each shielding index value of each electromagnetic shielding type of each cable shielding layer model;

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

[0132] The modules in the cable current-carrying imbalance visualization analysis device can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the modules.

[0133] In one embodiment, a computer device is provided, which can be a terminal, and the internal structure diagram thereof can be as shown in FIG. 1. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. The processor of the computer device is configured 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 running the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is configured to perform wired or wireless communication with an external terminal. The wireless communication can be achieved by WIFI, mobile cellular network, NFC (near field communication), or other technologies. The computer program is executed by the processor to implement a cable current-carrying imbalance visualization analysis method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the computer device shell, or an external keyboard, touchpad, or mouse, etc. Figure 6

[0134] Those skilled in the art can understand that the structure shown in FIG. 1 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. Specifically, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement. Figure 6

[0135] In one embodiment, a computer device is provided, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the method of any one of the first aspect.

[0136] ​​In an embodiment, a computer readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the first aspect.

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

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

[0139] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. 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 above-mentioned embodiments. Any reference to memory, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0140] The technical features of the above embodiments can be combined in any manner. For the sake of brevity, not all possible combinations of the technical features described above are described, however, as long as the combinations of the technical features do not contradict each other, they should be considered to be within the scope of the present disclosure.

[0141] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the patent scope of the present application. It should be pointed out that, for ordinary skilled persons in the art, several modifications 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 should be subject to the appended claims.

Claims

1. A visual analysis method for cable current-carrying imbalance, characterized in that, The method includes: Obtain the cable parameters of multiple parallel cables in the same direction, as well as the interface parameter information of the user interaction front-end interface; For each parallel cable in the same direction, acquire the historical current-carrying data of the parallel cable in the same direction, and based on the cable parameters, identify the parameter values ​​of each cable parameter type of the parallel cable in the same direction; Based on the parameter values ​​of the cable parameter type being cable structure parameters, a cable structure model of the parallel cable in the same direction is constructed using a cable modeling program. Based on the parameter values ​​of each of the cable parameter types, the model parameters in the cable structure model are adjusted to obtain the initial cable load model of the parallel cable in the same direction. 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 identified. When the model accuracy is lower than the preset accuracy, the cable parameters of the parallel cables in the same direction are re-acquired, and the parameter value step of identifying the cable parameter type of the parallel cables in the same direction is returned to be executed. This process continues until the model accuracy is not lower than the preset accuracy. Then, the initial cable load model obtained in the last iteration is used as the cable load model of the parallel cables in the same direction. Based on the interface parameter information, identify the interactive meaning of each interface interaction parameter; For each cable load model, identify the parameter characteristics of each model parameter of the cable load model, and based on the interaction meaning corresponding to each interface interaction parameter, identify the cable structure parameters adjusted by each interface interaction parameter. 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. Generate a model visualization structure diagram for each cable load model; For each model visualization structure diagram, identify the cable structure corresponding to each structural image in the visualization structure diagram, and query the structural influence parameters corresponding to each cable structure in the database; Extract the influence parameter features of each structural influence parameter, and calculate the parameter features of each model parameter and the similarity between them and the features of each influence parameter. Based on the aforementioned similarity, the model parameters corresponding to each structural influence parameter are selected, and based on the structural influence parameters corresponding to each cable structure and the model parameters corresponding to each structural influence parameter, the structural correspondence between each model parameter and each structural image of the model visualization structure diagram is identified. Based on the interaction relationship, the structural correspondence, the interface parameter information, and each of the cable load models, a cable current imbalance analysis interaction platform is constructed through the cable current imbalance calculation model. Based on the cable current imbalance analysis interaction platform, a visualization analysis task of cable current imbalance is performed.

2. The method according to claim 1, characterized in that, The step of identifying the interaction meaning of each interface interaction parameter based on the interface parameter information includes: From the interface parameter information, extract the interface identifier information of each interface interaction parameter and the interaction function of each interface interaction parameter; 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 the parameter adjustment method of each interface interaction parameter is identified based on the interaction function 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, the interaction meaning corresponding to each interface interaction parameter is identified.

3. The method according to claim 1, characterized in that, The method further includes: The system acquires the actual interface interaction parameters of the target parallel cable in the same direction, which are input by the user on the cable current imbalance analysis interaction platform. Based on these actual interface interaction parameters and the cable current imbalance analysis interaction platform, it generates the target cable load model required by the user and the visual structural model of the target parallel cable in the same direction. Based on the cable current imbalance calculation module of the cable current imbalance analysis interactive platform, the target current imbalance corresponding to the target cable load model and the current imbalance change distribution information of the target cable load model are calculated. Based on the target current imbalance and the distribution information of the current imbalance, the current imbalance analysis results of the target parallel cable in the same direction are generated, and the current imbalance analysis results are displayed in the visualization structural model.

4. A visualization analysis device for cable current-carrying imbalance, characterized in that, The device includes: The acquisition module is used to acquire the cable parameters of multiple parallel cables in the same direction, as well as the interface parameter information of the user interaction front-end interface; for each parallel cable in the same direction, it acquires the historical current-carrying data of the parallel cable in the same direction, and identifies the parameter values ​​of each cable parameter type of the parallel cable in the same direction based on the cable parameters; based on the parameter values ​​of the cable parameter type being cable structure parameters, it constructs the cable structure model of the parallel cable in the same direction through a cable modeling program, and adjusts the model parameters in the cable structure model based on the parameter values ​​of each cable parameter type to obtain the initial cable load model of the parallel cable in the same direction; based on the initial cable load model and the historical current-carrying data of the parallel cable in the same direction, it identifies the model accuracy of the initial cable load model, and when the model accuracy is lower than the preset accuracy, it reacquires the cable parameters of the parallel cable in the same direction, and returns to execute the step of identifying the parameter values ​​of each cable parameter type of the parallel cable in the same direction based on the cable parameters, until the model accuracy is not lower than the preset accuracy, and uses the initial cable load model obtained in the last iteration as the cable load model of the parallel cable in the same direction; The identification module is used to identify the interaction meaning of each interface interaction parameter based on the interface parameter information; for each cable load model, it identifies the parameter characteristics of each model parameter of the 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; based on the parameter characteristics of each model parameter, it identifies the cable structure parameters corresponding to each model parameter, and identifies the interaction relationship between each interaction parameter and each model parameter of the cable load model based on the cable structure parameters corresponding to each model parameter and the cable structure parameters adjusted by each interface interaction parameter; A construction module is used to generate a model visualization structure diagram for each cable load model; for each model visualization structure diagram, the cable structure corresponding to each structural image in the visualization structure diagram is identified, and the structural influence parameters corresponding to each cable structure are queried in the database; the influence parameter features of each structural influence parameter are extracted, and the parameter features of each model parameter and the similarity between them are calculated; based on the similarity, the model parameters corresponding to each structural influence parameter are selected, and based on the structural influence parameters corresponding to each cable structure and the model parameters corresponding to each structural influence parameter, the structural correspondence between each model parameter and each structural image in the model visualization structure diagram is identified; The execution module is used to construct a cable current imbalance analysis interaction platform based on the interaction relationship, the structural correspondence relationship, the interface parameter information, and each of the cable load models, through the cable current imbalance calculation model, and to execute the visualization analysis task of cable current imbalance based on the cable current imbalance analysis interaction platform.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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