Electric field equipotential intelligent labeling method and system

Abstract

The invention provides an electric field equipotential intelligent labeling method and system, and the method comprises the steps: obtaining the conductivity data and structure scanning data of each electric field structure of an electric field, and the electric field operation data corresponding to each operation state of the electric field, and constructing a three-dimensional structure model of the electric field; identifying electric energy transmission data of each electric field structure, and adjusting the three-dimensional structure model of the electric field based on the electric energy transmission data of each electric field structure to obtain a power transmission simulation model of the electric field; simulating the simulation operation data of the electric field in each operation state through the power transmission simulation model based on the electric field operation data corresponding to each operation state of the electric field, and marking each equipotential information of the electric field in the three-dimensional structure model based on the simulation operation data of each operation state, and obtaining an equipotential labeling model of the electric field. By adopting the scheme, the identification accuracy of the electric field equipotential can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric field equipotential intelligent labeling, and in particular to an electric field equipotential intelligent labeling method and system. Background Art

[0002] Working in electric fields has certain risks and uncertainties. Often, workers do not fully identify the risks of electric fields and do not accurately analyze the risks of electric fields, which leads to many safety risks. Among the safety risks, the risk of electric shock caused by electric potential difference is one of the most serious risks. Therefore, how to improve the accuracy of identifying the potential difference of electric fields is the current research focus.

[0003] The traditional method of identifying the potential difference of an electric field is to have technicians identify the equipotentials of the electric field in each electric field structure of the electric field, and then mark the equipotential information of the electric field by hand-drawn annotation. However, due to the complexity of transmission lines in different electric fields and the circuit transmission relationship between various electric field structures, the deviation of simple identification based on experience is large, and this method is affected by the degree of manual experience, resulting in low accuracy in identifying the equipotentials of the electric field. Summary of the invention

[0004] The main purpose of the present invention is to provide an intelligent marking method and system for electric field equipotentials, aiming to solve the problem that due to the complexity of the transmission lines and the circuit transmission relationship between the electric field structures in the prior art, the deviation of simple empirical identification is large, and this method is affected by the degree of human experience, thus leading to the problem of accuracy in identifying electric field equipotentials.

[0005] To achieve the above object, the present invention provides an electric field equipotential intelligent labeling method, the method comprising: Acquire the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and construct a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; Based on the conductive performance data of each electric field structure, identifying the power transmission data of each electric field structure, and based on the power transmission data of each electric field structure, adjusting the three-dimensional structural model of the electric field to obtain a power transmission simulation model of the electric field; Based on the electric field operation data corresponding to each operation state of the electric field, the simulation operation data of the electric field in each operation state is simulated through the power transmission simulation model, and based on the simulation operation data of each operation state, each equipotential information of the electric field is marked in the three-dimensional structural model to obtain an equipotential marking model of the electric field.

[0006] Optionally, constructing the three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure includes: Splitting the structural scanning data of the electric field into sub-structural scanning data of each electric field structure, and identifying the structural use type of each electric field structure; Screening target electric field structures of target structure usage types, and constructing a sub-three-dimensional structural model of each target electric field structure through a modeling model based on the sub-structure scanning data of each of the target electric field structures; Acquire an electric field design drawing of the electric field, and based on the electric field design drawing, identify the structural connection relationship between each of the target electric field structures through an image recognition network; Based on the structural connection relationship between the target electric field structures, the sub-three-dimensional structural models of the target electric field structures are subjected to three-dimensional structural splicing processing to obtain the three-dimensional structural model of the electric field.

[0007] Optionally, the identifying the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure includes: Based on the conductive performance data of each target electric field structure, identifying the conductive value range of each current transmission substructure of each target electric field structure, and based on the substructure scanning data of each target electric field structure, identifying the connection relationship between each current transmission substructure of each target electric field structure; For each target electric field structure, based on the connection relationship between each current transmission substructure of the target electric field structure and the conductivity value range of each current transmission substructure, the conductivity value range between each current transmission substructure is identified; the conductivity value range of each current transmission substructure and the conductivity value range between each current transmission substructure are used as the electric energy transmission data of the target electric field structure.

[0008] Optionally, adjusting the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain the power transmission simulation model of the electric field includes: Based on the conductivity value range of each current transmission substructure of each target electric field structure, identifying the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; Based on the conductivity value variation range between each current transmission substructure of each target electric field structure, the conductivity value variation range parameter of each current transmission substructure of each target electric field structure is identified through the data parameter conversion program; based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, the model parameters of the sub-three-dimensional structure model of each target electric field structure in the three-dimensional structure model of the electric field are adjusted respectively through a parameter adjustment program to obtain a power transmission simulation model of the electric field.

[0009] Optionally, the electric field operation data corresponding to each operation state of the electric field is simulated by using the power transmission simulation model to simulate the simulation operation data of the electric field in each operation state, including: For each operating state, based on the electric field operating data corresponding to the operating state, the sub-electric field operating data of each target electric field structure is identified, and for each target electric field structure, the sub-electric field operating data of the target electric field structure is split into current operating change distribution information of each current transmission substructure; The current operation change distribution information of each current transmission substructure is used as the simulation strategy of each current transmission substructure in the operation state, and based on the simulation strategy of each current transmission substructure of each target electric field structure in the operation state, the simulation operation process of the electric field in each operation state is simulated through the power transmission simulation model to obtain the simulation current operation data of each current transmission substructure of each target electric field structure; The simulated current operation data of each current transmission substructure of all target electric field structures are used as the simulated operation data of the electric field in the operation state.

[0010] Optionally, the simulation operation data based on each of the operation states, marking each equipotential information of the electric field in the three-dimensional structure model, includes: For each operating state, constructing simulated current distribution information of each current transmission substructure of each target electric field structure based on the simulated current operating data of each current transmission substructure of each target electric field structure in the operating state; For each target electric field structure, based on the simulated current distribution information of each current transmission substructure of the target electric field structure, identifying each equipotential first equipotential substructure in the target electric field structure and first equipotential information of each of the first equipotential substructures; Simulated current distribution information of each current transmission substructure of each target electric field structure, identifying each equipotential second equipotential substructure between each of the target electric field structures, and second equipotential information of each of the second equipotential substructures; In the three-dimensional structural model, the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures are located, and based on the first equipotential information of each of the first equipotential substructures and the second equipotential information of each of the second equipotential substructures, equipotential annotation processing is performed on the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures, respectively, to obtain the equipotential annotation model of the electric field.

[0011] In addition, to achieve the above-mentioned purpose, the present invention also provides an electric field equipotential intelligent labeling system, the electric field equipotential intelligent labeling system comprising: An acquisition module, used to acquire the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and construct a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; An adjustment module, used to identify the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure, and adjust the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain a power transmission simulation model of the electric field; A labeling module is used to simulate the simulation operation data of the electric field in each operating state through the power transmission simulation model based on the electric field operation data corresponding to each operating state of the electric field, and based on the simulation operation data of each operating state, label each equipotential information of the electric field in the three-dimensional structural model to obtain an equipotential labeling model of the electric field.

[0012] Optionally, the acquisition module is specifically used to: Splitting the structural scanning data of the electric field into sub-structural scanning data of each electric field structure, and identifying the structural use type of each electric field structure; Screening target electric field structures of target structure usage types, and constructing a sub-three-dimensional structural model of each target electric field structure through a modeling model based on the sub-structure scanning data of each of the target electric field structures; Acquire an electric field design drawing of the electric field, and based on the electric field design drawing, identify the structural connection relationship between each of the target electric field structures through an image recognition network; Based on the structural connection relationship between the target electric field structures, the sub-three-dimensional structural models of the target electric field structures are subjected to three-dimensional structural splicing processing to obtain the three-dimensional structural model of the electric field.

[0013] Optionally, the identification module is specifically used to: Based on the conductive performance data of each target electric field structure, identifying the conductive value range of each current transmission substructure of each target electric field structure, and based on the substructure scanning data of each target electric field structure, identifying the connection relationship between each current transmission substructure of each target electric field structure; For each target electric field structure, based on the connection relationship between each current transmission substructure of the target electric field structure and the conductivity value range of each current transmission substructure, the conductivity value range between each current transmission substructure is identified; the conductivity value range of each current transmission substructure and the conductivity value range between each current transmission substructure are used as the electric energy transmission data of the target electric field structure.

[0014] Optionally, the identification module is specifically used to: Based on the conductivity value range of each current transmission substructure of each target electric field structure, identifying the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; Based on the conductivity value variation range between each current transmission substructure of each target electric field structure, the conductivity value variation range parameter of each current transmission substructure of each target electric field structure is identified through the data parameter conversion program; based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, the model parameters of the sub-three-dimensional structure model of each target electric field structure in the three-dimensional structure model of the electric field are adjusted respectively through a parameter adjustment program to obtain a power transmission simulation model of the electric field.

[0015] Optionally, the annotation module is specifically used to: For each operating state, based on the electric field operating data corresponding to the operating state, the sub-electric field operating data of each target electric field structure is identified, and for each target electric field structure, the sub-electric field operating data of the target electric field structure is split into current operating change distribution information of each current transmission substructure; The current operation change distribution information of each current transmission substructure is used as the simulation strategy of each current transmission substructure in the operation state, and based on the simulation strategy of each current transmission substructure of each target electric field structure in the operation state, the simulation operation process of the electric field in each operation state is simulated through the power transmission simulation model to obtain the simulation current operation data of each current transmission substructure of each target electric field structure; The simulated current operation data of each current transmission substructure of all target electric field structures are used as the simulated operation data of the electric field in the operation state.

[0016] Optionally, the annotation module is specifically used to: For each operating state, constructing simulated current distribution information of each current transmission substructure of each target electric field structure based on the simulated current operating data of each current transmission substructure of each target electric field structure in the operating state; For each target electric field structure, based on the simulated current distribution information of each current transmission substructure of the target electric field structure, identifying each equipotential first equipotential substructure in the target electric field structure and first equipotential information of each of the first equipotential substructures; Simulated current distribution information of each current transmission substructure of each target electric field structure, identifying each equipotential second equipotential substructure between each of the target electric field structures, and second equipotential information of each of the second equipotential substructures; In the three-dimensional structural model, the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures are located, and based on the first equipotential information of each of the first equipotential substructures and the second equipotential information of each of the second equipotential substructures, equipotential annotation processing is performed on the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures, respectively, to obtain the equipotential annotation model of the electric field.

[0017] 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.

[0018] 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.

[0019] 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, the steps of any one of the methods in the first aspect are implemented.

[0020] The present invention provides an electric field equipotential intelligent labeling method and system, the method comprising: obtaining the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and constructing a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; identifying the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure, and adjusting the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain a power transmission simulation model of the electric field; simulating the simulation operation data of the electric field in each operation state through the power transmission simulation model based on the electric field operation data corresponding to each operation state of the electric field, and labeling each equipotential information of the electric field in the three-dimensional structural model based on the simulation operation data of each operation state to obtain an equipotential labeling model of the electric field. This solution obtains the conductive performance data of each electric field structure, thereby simulating the simulated operation data of the electric field structure under the electric field operation data conditions corresponding to different operation states, thereby identifying the equipotential information existing in the electric field structure and the equipotential information existing between the electric field structures, and then annotates each equipotential information in the three-dimensional structural model of the electric field through intelligent annotation, avoiding the problems of low precision, low timeliness, and high experience requirement of manual annotation, thereby improving the accuracy of identifying electric field equipotentials. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 is a flow chart of an electric field equipotential intelligent labeling method provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of an electric field equipotential intelligent labeling system provided by an embodiment of the present invention; Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The electric field equipotential intelligent labeling method provided by the embodiment of the present invention is applied to the electric field equipotential intelligent labeling system. Unless otherwise defined, all technical and scientific terms used in this article have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned figures are used to distinguish different objects, not to describe a specific order.

[0024] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0026] The electric field equipotential intelligent labeling method provided in the embodiment of the present application can be applied to the application environment of electric field equipotential intelligent labeling. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented by the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal obtains the conductive performance data of each electric field structure, thereby simulating the simulated operation data of the electric field structure under the electric field operation data conditions corresponding to different operating states of the electric field structure, thereby identifying the equipotential information existing in the electric field structure and the equipotential information existing between the electric field structures, and then each equipotential information is annotated in the three-dimensional structural model of the electric field by intelligent labeling, avoiding the problems of low precision, low timeliness, and high experience requirements of manual labeling, thereby improving the recognition accuracy of electric field equipotential.

[0027] In one embodiment, Figure 1 As shown, a method for intelligent marking of electric field equipotential is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps: Step S101, obtaining the conductive performance data of each electric field structure, the structural scanning data of each electric field structure, and the electric field operation data corresponding to each operation state of the electric field, and constructing a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure.

[0028] In this embodiment, the terminal performs three-dimensional scanning processing on each electric field structure of the power plant through point cloud scanning technology or infrared three-dimensional scanning technology to obtain structural scanning data of each electric field structure. Among them, the electric field structure includes but is not limited to transmission structure, distribution structure, substation structure, support structure, protection structure, etc. Then, the terminal identifies the conductive performance data of each electric field structure by querying the historical operation data of each electric field structure. Among them, the conductive performance data includes the current value range, voltage value range, and transmission rate range of each substructure of each electric field structure. Among them, each substructure of each electric field structure includes substructures of different structural use types, wherein the structural use type includes but is not limited to current transmission type, structural support type, safety protection type, current limiting type and other use types.

[0029] Finally, the terminal constructs a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure. The three-dimensional structural model of the electric field can be constructed by using a finite element simulation model.

[0030] Step S102, based on the conductive performance data of each electric field structure, identifying the power transmission data of each electric field structure, and based on the power transmission data of each electric field structure, adjusting the three-dimensional structural model of the electric field to obtain a power transmission simulation model of the electric field.

[0031] In this embodiment, the terminal identifies the power transmission data of each electric field structure based on the conductive performance data of each electric field structure, and adjusts the three-dimensional structural model of the electric field based on the power transmission data of each electric field structure to obtain the power transmission simulation model of the electric field. The power transmission data includes the conductivity value range of each current transmission substructure in each electric field structure, and the conductivity value variation range between each current transmission substructure. The conductivity value range includes the current value range, the voltage value range, and the transmission rate range, etc., and the conductivity value variation range between each current transmission substructure includes the range of variation values ​​of the conductivity value between two current transmission substructures, wherein the conductivity value variation value is the variation value of the current data when current transmission is performed between the current transmission substructures. The specific identification process and adjustment process will be described in detail later.

[0032] Step S103, based on the electric field operation data corresponding to each operation state of the electric field, simulate the simulation operation data of the electric field in each operation state through the power transmission simulation model, and based on the simulation operation data of each operation state, mark each equipotential information of the electric field in the three-dimensional structural model to obtain an equipotential marking model of the electric field.

[0033] In this embodiment, the terminal simulates the simulation operation data of the electric field in each operation state through the power transmission simulation model based on the electric field operation data corresponding to each operation state of the electric field, and annotates each equipotential information of the electric field in the three-dimensional structure model based on the simulation operation data of each operation state to obtain an equipotential annotation model of the electric field. The specific annotation process will be described in detail later.

[0034] Based on the above scheme, by acquiring the conductive performance data of each electric field structure, the simulated operation data of the electric field structure under the electric field operation data conditions corresponding to different operating states is simulated, so as to identify the equipotential information existing in the electric field structure and the equipotential information existing between the electric field structures, and then annotate each equipotential information in the three-dimensional structural model of the electric field by intelligent labeling, thereby avoiding the problems of low precision, low timeliness and high experience requirement of manual labeling, thereby improving the accuracy of identifying electric field equipotentials.

[0035] Optionally, a three-dimensional structural model of the electric field is constructed based on the structural scanning data of the electric field structure, including: splitting the structural scanning data of the electric field into sub-structural scanning data of each electric field structure, and identifying the structural use type of each electric field structure; screening the target electric field structures of the target structural use type, and based on the sub-structural scanning data of each target electric field structure, constructing a sub-three-dimensional structural model of each target electric field structure through a modeling model; obtaining an electric field design drawing of the electric field, and based on the electric field design drawing, identifying the structural connection relationship between each target electric field structure through an image recognition network; based on the structural connection relationship between each target electric field structure, performing three-dimensional structural splicing processing on the sub-three-dimensional structural models of each target electric field structure to obtain a three-dimensional structural model of the electric field.

[0036] In this embodiment, the terminal splits the structural scanning data of the electric field into sub-structure scanning data of each electric field structure, and identifies the structural use type of each electric field structure. Then, the terminal screens the target electric field structure of the target structural use type, and based on the sub-structure scanning data of each target electric field structure, constructs a sub-three-dimensional structural model of each target electric field structure through a modeling model. Among them, the target electric field structure of the target structural use type is screened to include current transmission, current limitation, or current change corresponding structural use types. As the target structural use type, the terminal presets the specific structural use type of each structural use type including current transmission, current limitation, or current change, so as to directly screen the structural use type of the specific structural use type as the target structural use type.

[0037] Then, the terminal obtains the electric field design drawing of the electric field, and based on the electric field design drawing, identifies the structural connection relationship between each target electric field structure through an image recognition network. Among them, the image recognition network can be but is not limited to a convolutional neural network based on a self-attention mechanism. Afterwards, based on the structural connection relationship between each target electric field structure, the terminal performs three-dimensional structural splicing processing on the sub-three-dimensional structural models of each target electric field structure to obtain a three-dimensional structural model of the electric field.

[0038] Based on the above scheme, by screening the target electric field structure, not only the amount of modeling data can be reduced and the modeling efficiency can be improved, but also by screening the target electric field structure of the target structure usage type related to current transmission, current limitation, or current change, the equipotential information of each target structure usage type can be identified more accurately and efficiently.

[0039] Optionally, based on the conductive performance data of each electric field structure, the electric energy transmission data of each electric field structure is identified, including: based on the conductive performance data of each target electric field structure, identifying the conductive value range of each current transmission substructure of each target electric field structure, and based on the substructure scanning data of each target electric field structure, identifying the connection relationship between each current transmission substructure of each target electric field structure; for each target electric field structure, based on the connection relationship between each current transmission substructure of the target electric field structure and the conductive value range of each current transmission substructure, identifying the conductive value variation range between each current transmission substructure; using the conductive value range of each current transmission substructure and the conductive value variation range between each current transmission substructure as the electric energy transmission data of the target electric field structure.

[0040] In this embodiment, the terminal identifies the conductivity value range of each current transmission substructure of each target electric field structure based on the conductivity performance data of each target electric field structure, and identifies the connection relationship between each current transmission substructure of each target electric field structure based on the substructure scanning data of each target electric field structure. Wherein, the connection relationship includes the connection relationship between each current transmission substructure, rather than the connection relationship between the non-current transmission substructures, which does not need to be obtained in this solution, thereby more finely identifying the equipotential information of each current transmission substructure in each target electric field structure, wherein the current transmission substructure includes, but is not limited to, a substructure for current transmission, a substructure for current limitation, and a substructure for current change, etc.

[0041] For each target electric field structure, the terminal identifies the conductivity value variation range between each current transmission substructure based on the connection relationship between each current transmission substructure of the target electric field structure and the conductivity value range of each current transmission substructure. Then, the terminal uses the conductivity value range of each current transmission substructure and the conductivity value variation range between each current transmission substructure as the electric energy transmission data of the target electric field structure.

[0042] Based on the above scheme, by identifying the conductivity value range of each current transmission substructure of each target electric field structure and the conductivity value variation range between each current transmission substructure, the electric energy transmission data of the target electric field structure is determined, thereby improving the accuracy and pertinence of identifying the electric energy transmission data of the target electric field structure, reducing the subsequent identification time of equipotential information, and improving the recognition efficiency and accuracy of identifying equipotential information.

[0043] Optionally, based on the electric energy transmission data of each electric field structure, the three-dimensional structural model of the electric field is adjusted to obtain a power transmission simulation model of the electric field, including: based on the conductivity value range of each current transmission substructure of each target electric field structure, identifying the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; based on the conductivity value variation range between each current transmission substructure of each target electric field structure, identifying the conductivity value variation range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, adjusting the model parameters of the sub-three-dimensional structural models of each target electric field structure in the three-dimensional structural model of the electric field through a parameter adjustment program to obtain a power transmission simulation model of the electric field.

[0044] In this embodiment, the terminal identifies the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program based on the conductivity value range of each current transmission substructure of each target electric field structure. The data parameter conversion program is a conversion program that converts physical data of COMSOL Multiphysics software into model simulation parameters.

[0045] Then, the terminal identifies the conductivity value variation range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program based on the conductivity value variation range between each current transmission substructure of each target electric field structure. In addition, the terminal adjusts the model parameters of the sub-three-dimensional structure model of each target electric field structure in the three-dimensional structure model of the electric field through a parameter adjustment program based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, thereby obtaining a power transmission simulation model of the electric field. Among them, the above-mentioned data parameter conversion programs are the same.

[0046] Based on the above scheme, the conductivity value range parameters and the conductivity value variation range parameters of each current transmission substructure of each target electric field structure of the electric field are identified by means of simulation parameter conversion, thereby improving the adjustment efficiency of the transmission simulation model and the simulation accuracy of the adjusted transmission simulation model.

[0047] Optionally, based on the electric field operation data corresponding to each operation state of the electric field, the simulation operation data of the electric field in each operation state is simulated through a power transmission simulation model, including: for each operation state, based on the electric field operation data corresponding to the operation state, identifying the sub-electric field operation data of each target electric field structure, and for each target electric field structure, splitting the sub-electric field operation data of the target electric field structure into current operation change distribution information of each current transmission substructure; using the current operation change distribution information of each current transmission substructure as the simulation strategy of each current transmission substructure in the operation state, and based on the simulation strategy of each current transmission substructure of each target electric field structure in the operation state, simulating the simulation operation process of the electric field in each operation state through the power transmission simulation model to obtain the simulation current operation data of each current transmission substructure of each target electric field structure; using the simulation current operation data of each current transmission substructure of all target electric field structures as the simulation operation data of the electric field in the operation state.

[0048] In this embodiment, for each operating state, the terminal identifies the sub-electric field operating data of each target electric field structure based on the electric field operating data corresponding to the operating state, and for each target electric field structure, splits the sub-electric field operating data of the target electric field structure into current operation change distribution information of each current transmission substructure. The current operation change distribution information includes change distribution information of the current operation data of each current transmission substructure over time. The change distribution information includes a change distribution range and a change distribution trend.

[0049] Afterwards, the terminal uses the current operation change distribution information of each current transmission substructure as the simulation strategy of each current transmission substructure in the operating state, and based on the simulation strategy of each current transmission substructure in each target electric field structure in the operating state, through the power transmission simulation model, simulates the simulation operation process of the electric field in each operating state, and obtains the simulated current operation data of each current transmission substructure of each target electric field structure.

[0050] Finally, the terminal uses the simulated current operation data of each current transmission substructure of all target electric field structures as the simulated operation data of the electric field in the operating state.

[0051] Based on the above scheme, by identifying the sub-electric field operation data of each target electric field structure corresponding to each operation state, the simulation operation process of the electric field in each operation state is simulated, thereby improving the accuracy and practicality of the simulation.

[0052] Optionally, based on the simulation operation data of each operation state, each equipotential information of the electric field is marked in the three-dimensional structural model, including: for each operation state, based on the simulation current operation data of each current transmission substructure of each target electric field structure in the operation state, constructing the simulation current distribution information of each current transmission substructure of each target electric field structure; for each target electric field structure, based on the simulation current distribution information of each current transmission substructure of the target electric field structure, identifying the first equipotential substructure of each equipotential in the target electric field structure, and the first equipotential information of each first equipotential substructure; each current of each target electric field structure The simulated current distribution information of the transmission substructure is used to identify the second equipotential substructures of each equipotential between each target electric field structure, and the second equipotential information of each second equipotential substructure; in the three-dimensional structure model, the model range corresponding to each first equipotential substructure and the model range corresponding to each second equipotential substructure are located, and based on the first equipotential information of each first equipotential substructure and the second equipotential information of each second equipotential substructure, equipotential annotation processing is performed on the model range corresponding to each first equipotential substructure and the model range corresponding to each second equipotential substructure, respectively, to obtain an equipotential annotation model of the electric field.

[0053] In this embodiment, for each operating state, the terminal constructs the simulated current distribution information of each current transmission substructure of each target electric field structure based on the simulated current operating data of each current transmission substructure of each target electric field structure in the operating state. The simulated current distribution information is the distribution information of the current data of each position point of each transmission substructure. The current data includes, but is not limited to, data such as voltage value, current value, and current transmission rate.

[0054] For each target electric field structure, the terminal identifies each first equipotential substructure of the target electric field structure and first equipotential information of each first equipotential substructure based on the simulated current distribution information of each current transmission substructure of the target electric field structure. The first equipotential information includes information such as the voltage value, current value, and current transmission rate value of the equipotential.

[0055] Then, based on the simulated current distribution information of each current transmission substructure of each target electric field structure, the terminal identifies each equipotential second equipotential substructure between each target electric field structure, and the second equipotential information of each second equipotential substructure. Finally, in the three-dimensional structure model, the terminal locates the model range corresponding to each first equipotential substructure and the model range corresponding to each second equipotential substructure, and based on the first equipotential information of each first equipotential substructure and the second equipotential information of each second equipotential substructure, performs equipotential annotation processing on the model range corresponding to each first equipotential substructure and the model range corresponding to each second equipotential substructure, respectively, to obtain the equipotential annotation model of the electric field.

[0056] Based on the above scheme, by identifying the equipotential information existing in the electric field structure and the equipotential information existing between the electric field structures, and then marking each equipotential information in the three-dimensional structural model of the electric field through intelligent labeling, the problems of low precision, low timeliness, and high experience requirement of manual labeling are avoided, thereby improving the accuracy of identifying electric field equipotentials.

[0057] 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.

[0058] Based on the same inventive concept, the embodiment of the present application also provides an electric field equipotential intelligent labeling system for implementing the electric field equipotential intelligent labeling method involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more electric field equipotential intelligent labeling system embodiments provided below can refer to the limitations of the electric field equipotential intelligent labeling method above, and will not be repeated here.

[0059] Further references Figure 2 , as a response to the above Figure 1 The present application provides an embodiment of an electric field equipotential intelligent labeling system 200, which includes an acquisition module 210, an adjustment module 220 and a labeling module 230, wherein: An acquisition module 210 is used to acquire the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and construct a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; An adjustment module 220, for identifying the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure, and adjusting the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain a power transmission simulation model of the electric field; The labeling module 230 is used to simulate the simulation operation data of the electric field in each operating state through the power transmission simulation model based on the electric field operation data corresponding to each operating state of the electric field, and to label the equipotential information of the electric field in the three-dimensional structural model based on the simulation operation data of each operating state to obtain the equipotential labeling model of the electric field.

[0060] Optionally, the acquisition module 210 is specifically configured to: Splitting the structural scanning data of the electric field into sub-structural scanning data of each electric field structure, and identifying the structural use type of each electric field structure; Screening target electric field structures of target structure usage types, and constructing a sub-three-dimensional structural model of each target electric field structure through a modeling model based on the sub-structure scanning data of each of the target electric field structures; Acquire an electric field design drawing of the electric field, and based on the electric field design drawing, identify the structural connection relationship between each of the target electric field structures through an image recognition network; Based on the structural connection relationship between the target electric field structures, the sub-three-dimensional structural models of the target electric field structures are subjected to three-dimensional structural splicing processing to obtain the three-dimensional structural model of the electric field.

[0061] Optionally, the identification module 220 is specifically configured to: Based on the conductive performance data of each target electric field structure, identifying the conductive value range of each current transmission substructure of each target electric field structure, and based on the substructure scanning data of each target electric field structure, identifying the connection relationship between each current transmission substructure of each target electric field structure; For each target electric field structure, based on the connection relationship between each current transmission substructure of the target electric field structure and the conductivity value range of each current transmission substructure, the conductivity value range between each current transmission substructure is identified; the conductivity value range of each current transmission substructure and the conductivity value range between each current transmission substructure are used as the electric energy transmission data of the target electric field structure.

[0062] Optionally, the identification module 220 is specifically configured to: Based on the conductivity value range of each current transmission substructure of each target electric field structure, identifying the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; Based on the conductivity value variation range between each current transmission substructure of each target electric field structure, the conductivity value variation range parameter of each current transmission substructure of each target electric field structure is identified through the data parameter conversion program; based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, the model parameters of the sub-three-dimensional structure model of each target electric field structure in the three-dimensional structure model of the electric field are adjusted respectively through a parameter adjustment program to obtain a power transmission simulation model of the electric field.

[0063] Optionally, the marking module 230 is specifically used to: For each operating state, based on the electric field operating data corresponding to the operating state, the sub-electric field operating data of each target electric field structure is identified, and for each target electric field structure, the sub-electric field operating data of the target electric field structure is split into current operating change distribution information of each current transmission substructure; The current operation change distribution information of each current transmission substructure is used as the simulation strategy of each current transmission substructure in the operation state, and based on the simulation strategy of each current transmission substructure of each target electric field structure in the operation state, the simulation operation process of the electric field in each operation state is simulated through the power transmission simulation model to obtain the simulation current operation data of each current transmission substructure of each target electric field structure; The simulated current operation data of each current transmission substructure of all target electric field structures are used as the simulated operation data of the electric field in the operation state.

[0064] Optionally, the marking module 230 is specifically used to: For each operating state, constructing simulated current distribution information of each current transmission substructure of each target electric field structure based on the simulated current operating data of each current transmission substructure of each target electric field structure in the operating state; For each target electric field structure, based on the simulated current distribution information of each current transmission substructure of the target electric field structure, identifying each equipotential first equipotential substructure in the target electric field structure and first equipotential information of each of the first equipotential substructures; Simulated current distribution information of each current transmission substructure of each target electric field structure, identifying each equipotential second equipotential substructure between each of the target electric field structures, and second equipotential information of each of the second equipotential substructures; In the three-dimensional structural model, the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures are located, and based on the first equipotential information of each of the first equipotential substructures and the second equipotential information of each of the second equipotential substructures, equipotential annotation processing is performed on the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures, respectively, to obtain the equipotential annotation model of the electric field.

[0065] Each module in the above-mentioned electric field equipotential intelligent labeling system can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0066] 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 3As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected by 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, an electric field equipotential intelligent labeling method 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 system of the computer device can be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the computer device housing, or an external keyboard, touch pad or mouse, etc.

[0067] Those skilled in the art will understand that Figure 3 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] 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. An electric field equipotential intelligent labeling method, characterized in that: The method comprises: Acquire the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and construct a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; Based on the conductive performance data of each electric field structure, identifying the power transmission data of each electric field structure, and based on the power transmission data of each electric field structure, adjusting the three-dimensional structural model of the electric field to obtain a power transmission simulation model of the electric field; Based on the electric field operation data corresponding to each operation state of the electric field, the simulation operation data of the electric field in each operation state is simulated through the power transmission simulation model, and based on the simulation operation data of each operation state, each equipotential information of the electric field is marked in the three-dimensional structural model to obtain an equipotential marking model of the electric field.

2. The method according to claim 1, characterized in that The step of constructing a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure comprises: Splitting the structural scanning data of the electric field into sub-structural scanning data of each electric field structure, and identifying the structural use type of each electric field structure; Screening target electric field structures of target structure usage types, and constructing a sub-three-dimensional structural model of each target electric field structure through a modeling model based on the sub-structure scanning data of each of the target electric field structures; Acquire an electric field design drawing of the electric field, and based on the electric field design drawing, identify the structural connection relationship between each of the target electric field structures through an image recognition network; Based on the structural connection relationship between the target electric field structures, the sub-three-dimensional structural models of the target electric field structures are subjected to three-dimensional structural splicing processing to obtain the three-dimensional structural model of the electric field.

3. The method according to claim 2, characterized in that The step of identifying the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure includes: Based on the conductive performance data of each target electric field structure, identifying the conductive value range of each current transmission substructure of each target electric field structure, and based on the substructure scanning data of each target electric field structure, identifying the connection relationship between each current transmission substructure of each target electric field structure; For each target electric field structure, based on the connection relationship between each current transmission substructure of the target electric field structure and the conductivity value range of each current transmission substructure, the conductivity value range between each current transmission substructure is identified; and the conductivity value range of each current transmission substructure and the conductivity value range between each current transmission substructure are used as the electric energy transmission data of the target electric field structure.

4. The method according to claim 3, characterized in that: The step of adjusting the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain the power transmission simulation model of the electric field comprises: Based on the conductivity value range of each current transmission substructure of each target electric field structure, identifying the conductivity value range parameter of each current transmission substructure of each target electric field structure through a data parameter conversion program; Based on the conductivity value variation range between each current transmission substructure of each target electric field structure, the conductivity value variation range parameter of each current transmission substructure of each target electric field structure is identified through the data parameter conversion program; based on the conductivity value range parameter of each current transmission substructure of each target electric field structure and the conductivity value variation range parameter of each current transmission substructure of each target electric field structure, the model parameters of the sub-three-dimensional structure model of each target electric field structure in the three-dimensional structure model of the electric field are adjusted respectively through a parameter adjustment program to obtain a power transmission simulation model of the electric field.

5. The method according to claim 4, characterized in that The electric field operation data corresponding to each operation state of the electric field is simulated by the power transmission simulation model to simulate the simulation operation data of the electric field in each operation state, including: For each operating state, based on the electric field operating data corresponding to the operating state, the sub-electric field operating data of each target electric field structure is identified, and for each target electric field structure, the sub-electric field operating data of the target electric field structure is split into current operating change distribution information of each current transmission substructure; The current operation change distribution information of each current transmission substructure is used as the simulation strategy of each current transmission substructure in the operation state, and based on the simulation strategy of each current transmission substructure of each target electric field structure in the operation state, the simulation operation process of the electric field in each operation state is simulated through the power transmission simulation model to obtain the simulation current operation data of each current transmission substructure of each target electric field structure; The simulated current operation data of each current transmission substructure of all target electric field structures are used as the simulated operation data of the electric field in the operation state.

6. The method according to claim 5, characterized in that The simulation operation data based on each of the operation states, marking each equipotential information of the electric field in the three-dimensional structure model, includes: For each operating state, constructing simulated current distribution information of each current transmission substructure of each target electric field structure based on the simulated current operating data of each current transmission substructure of each target electric field structure in the operating state; For each target electric field structure, based on the simulated current distribution information of each current transmission substructure of the target electric field structure, identifying each equipotential first equipotential substructure in the target electric field structure and first equipotential information of each of the first equipotential substructures; Simulated current distribution information of each current transmission substructure of each target electric field structure, identifying each equipotential second equipotential substructure between each of the target electric field structures, and second equipotential information of each of the second equipotential substructures; In the three-dimensional structural model, the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures are located, and based on the first equipotential information of each of the first equipotential substructures and the second equipotential information of each of the second equipotential substructures, equipotential annotation processing is performed on the model range corresponding to each of the first equipotential substructures and the model range corresponding to each of the second equipotential substructures, respectively, to obtain the equipotential annotation model of the electric field.

7. An electric field equipotential intelligent labeling system, characterized in that: The system comprises: An acquisition module, used to acquire the conductive performance data of each electric field structure of the electric field, the structural scanning data of each of the electric field structures, and the electric field operation data corresponding to each operation state of the electric field, and construct a three-dimensional structural model of the electric field based on the structural scanning data of the electric field structure; An adjustment module, used to identify the electric energy transmission data of each electric field structure based on the conductive performance data of each electric field structure, and adjust the three-dimensional structural model of the electric field based on the electric energy transmission data of each electric field structure to obtain a power transmission simulation model of the electric field; A labeling module is used to simulate the simulation operation data of the electric field in each operating state through the power transmission simulation model based on the electric field operation data corresponding to each operating state of the electric field, and based on the simulation operation data of each operating state, label each equipotential information of the electric field in the three-dimensional structural model to obtain an equipotential labeling model of the electric field.

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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