Substation equipment model determination method and corresponding device

Abstract

The invention relates to a transformer substation equipment model determination method and a corresponding device, the method comprises the steps that model parameters and constraint conditions of transformer substation equipment in a boost station are determined, the model parameters are parameter data obtained after the transformer substation equipment is scanned through laser, and the constraint conditions are used for constraining the performance of the transformer substation equipment; processing model parameters and a preset geometric model through one of a parameterization modeling method, a regularization modeling method, a modularization modeling method and a point cloud reverse modeling method to obtain a first geometric model corresponding to the substation equipment, and obtaining a second geometric model corresponding to the substation equipment according to the constraint condition and the first geometric model. And determining an equipment virtual model corresponding to the substation equipment. Compared with a method for constructing the equipment virtual model through a software technology in related technologies, the method has the advantages that data missing of the substation equipment can be reduced, the accuracy of constructing the first geometric model can be improved, and the accuracy of the equipment virtual model can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular, to a method for determining a substation equipment model and a corresponding device. Background Art

[0002] Substation equipment model is an important tool mainly used for designing, analyzing and simulating power systems. Therefore, when constructing substation equipment model, high precision and accuracy are required to ensure the normal and stable operation of the power system. In the related technology, substation equipment model is constructed by related software technology, but the precision and accuracy of substation equipment model constructed by related software technology is low. Summary of the invention

[0003] The purpose of the present disclosure is to provide a method for determining a substation equipment model and a corresponding device to solve the technical problems existing in the related art.

[0004] In order to achieve the above objectives, in a first aspect, the present disclosure provides a method for determining a substation equipment model, comprising: Determine the model parameters and constraint conditions of the substation equipment in the boosting station, wherein the model parameters are parameter data obtained by laser scanning the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment; Processing the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method, and a point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; According to the constraint conditions and the first geometric model, a device virtual model corresponding to the substation device is determined.

[0005] Optionally, the first geometric model is obtained by processing the model parameters and the preset geometric model by the parametric modeling method, including: Determine the geometric parameters, characteristic parameters, relational parameters and logical relations in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relational parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relations are used to characterize the logical operation relations in the virtual model of the equipment; Processing the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters, and the logical relationship to obtain a second geometric model; The second geometric model is processed by at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

[0006] Optionally, the first geometric model is obtained by processing the model parameters and the preset geometric model by the regularized modeling method, including: An additional term is introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional term is introduced to obtain the first geometric model, wherein the additional term includes at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization and tree model pruning.

[0007] Optionally, determining the device virtual model corresponding to the substation device according to the constraint condition and the first geometric model includes: Processing the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; According to the device material constraint condition in the constraint condition, the color of the basic material in the third geometric model is adjusted to obtain a fourth geometric model, wherein the device material constraint condition is used to characterize the corresponding relationship between the basic material and the color; According to the wiring point constraint condition in the constraint condition, the wiring points between the sub-devices in the fourth geometric model are constructed to obtain a fifth geometric model, wherein the wiring point constraint condition is used to constrain the connection mode between the devices in the device virtual model; The fifth geometric model is processed according to the annotation line constraint condition in the constraint condition to obtain the device virtual model, and the annotation line constraint condition is used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

[0008] Optionally, the insertion point constraint condition includes: The position of the insertion point is set at the midpoint origin of a single bracket, the center point of a multi-bracket connection line, a point of a common position of sub-equipment in the substation equipment, and the center point of sub-equipment in the substation equipment.

[0009] Optionally, adjusting the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain the fourth geometric model includes: Determine the basic material of each sub-equipment in the substation equipment, wherein the basic material includes at least one of the equipment material, insulator string material, bracket material, civil foundation material and frame material of the substation equipment; A target material color is determined according to the basic material and the device material constraint condition, and the target material color is rendered into a sub-device corresponding to the third geometric model to obtain the fourth geometric model.

[0010] Optionally, constructing the connection points between the sub-devices in the fourth geometric model according to the connection point constraint conditions in the constraint conditions to obtain the fifth geometric model includes: constructing connection points between the sub-devices of the fourth geometric model; For any wiring point, the phase sequence and parameter value of the wiring point are determined according to the wiring point constraint conditions, and based on the phase sequence and the parameter value, in the fourth geometric model, the wiring point is arranged to a position consistent with the direction of the terminal board to obtain the fifth geometric model.

[0011] In a second aspect, the present disclosure provides a device for determining a substation equipment model, comprising a first determining module, a first processing module and a second determining module; The first determination module is used to determine the model parameters and constraint conditions of the substation equipment in the boosting station, wherein the model parameters are used to characterize the parameter data of the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment; The first processing module is used to process the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method, and a point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; The second determination module is used to determine the equipment virtual model corresponding to the substation equipment according to the constraint condition and the first geometric model.

[0012] Optionally, the first processing module includes: A third determination module is used to determine the geometric parameters, characteristic parameters, relationship parameters and logical relationships in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relationship parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relationship is used to characterize the logical operation relationship in the virtual model of the equipment; A second processing module, configured to process the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters and the logical relationship to obtain a second geometric model; The third processing module is used to process the second geometric model through at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

[0013] Optionally, the first processing module is used to: An additional term is introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional term is introduced to obtain the first geometric model, wherein the additional term includes at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization and tree model pruning.

[0014] Optionally, the second determining module includes: a fourth processing module, configured to process the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; an adjustment module, configured to adjust the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain a fourth geometric model, wherein the device material constraint is used to characterize the corresponding relationship between the basic material and the color; a wiring point construction module, configured to construct wiring points between the sub-devices in the fourth geometric model according to the wiring point constraint conditions in the constraint conditions, so as to obtain a fifth geometric model, wherein the wiring point constraint conditions are used to constrain the connection mode between the devices in the device virtual model; The fifth processing module is used to process the fifth geometric model according to the annotation line constraint conditions in the constraint conditions to obtain the device virtual model, and the annotation line constraint conditions are used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

[0015] Optionally, the insertion point constraint condition includes: The position of the insertion point is set at the midpoint origin of a single bracket, the center point of a multi-bracket connection line, a point of a common position of sub-equipment in the substation equipment, and the center point of sub-equipment in the substation equipment.

[0016] Optionally, the adjustment module includes: A fourth determination module is used to determine the basic material of each sub-equipment in the substation equipment, wherein the basic material includes at least one of the equipment material, insulator string material, bracket material, civil foundation material and frame material of the substation equipment; The fifth determination module is used to determine the target material color according to the basic material and the device material constraint condition, and render the target material color to the sub-device corresponding to the third geometric model to obtain the fourth geometric model.

[0017] Optionally, the wiring point construction module includes: A wiring point construction submodule, used for constructing wiring points between the sub-devices of the fourth geometric model; A layout module is used to determine the phase sequence and parameter value of any wiring point according to the wiring point constraint conditions, and arrange the wiring point in the fourth geometric model to a position consistent with the direction of the terminal board according to the phase sequence and the parameter value to obtain the fifth geometric model.

[0018] In a third aspect, the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.

[0019] In a fourth aspect, the present disclosure provides an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of any one of the methods provided in the first aspect of the present disclosure.

[0020] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the methods provided in the first aspect of the present disclosure.

[0021] Through the above technical solution, the model parameters of the substation equipment and the preset geometric model are processed by one of the parametric modeling method, the regular modeling method, the component modeling method and the point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, and then the equipment virtual model corresponding to the substation equipment can be determined according to the constraint conditions and the first geometric model. Among them, the model parameters are parameter data obtained after laser scanning the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment. Obtaining the parameter data of the substation equipment by laser scanning can reduce the loss of substation equipment data. Then, the model parameters and the preset geometric model are processed by one of the parametric modeling method, the regular modeling method, the component modeling method and the point cloud reverse modeling method, which can improve the accuracy of constructing the first geometric model, and then determine the equipment virtual model in combination with the constraint conditions. Compared with the method of constructing the equipment virtual model by software technology in the related art, the accuracy of the equipment virtual model can be improved.

[0022] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a schematic diagram showing a method for determining a substation equipment model according to an exemplary embodiment of the present disclosure.

[0024] Figure 2 The figure is a schematic diagram showing a device for determining a substation equipment model according to an exemplary embodiment of the present disclosure.

[0025] Figure 3 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0026] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0027] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0028] In the related art, relevant personnel construct a substation equipment model in the power system software based on drilling data, profile data or geophysical data. However, the inventor found that when constructing a substation equipment model using the method in the related art, the acquired substation equipment data may be missing, thereby causing the precision and accuracy of the substation equipment model to be low.

[0029] In view of this, the present disclosure provides a method for determining a substation equipment model and a corresponding device to solve the technical problems existing in the above-mentioned related technologies.

[0030] like Figure 1 As shown, Figure 1 is a schematic diagram showing a method for determining a substation equipment model according to an exemplary embodiment of the present disclosure, with reference to Figure 1 ,include: S101: Determine model parameters and constraints of substation equipment in a boosting station, wherein the model parameters are parameter data obtained by laser scanning the substation equipment, and the constraints are used to constrain the performance of the substation equipment; S102: Processing the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method, and a point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; S103: Determine a device virtual model corresponding to the substation device according to the constraint condition and the first geometric model.

[0031] Through the above technical solution, the model parameters of the substation equipment and the preset geometric model are processed by one of the parametric modeling method, the regular modeling method, the component modeling method and the point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, and then the equipment virtual model corresponding to the substation equipment can be determined according to the constraint conditions and the first geometric model. Among them, the model parameters are parameter data obtained after laser scanning the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment. Obtaining the parameter data of the substation equipment by laser scanning can reduce the loss of substation equipment data. Then, the model parameters and the preset geometric model are processed by one of the parametric modeling method, the regular modeling method, the component modeling method and the point cloud reverse modeling method, which can improve the accuracy of constructing the first geometric model, and then determine the equipment virtual model in combination with the constraint conditions. Compared with the method of constructing the equipment virtual model by software technology in the related art, the accuracy of the equipment virtual model can be improved.

[0032] In order to enable those skilled in the art to better understand the method for determining the substation equipment model provided by the present disclosure, the above steps are described in detail with examples below.

[0033] For example, a boosting station may be a system for transforming electric charge voltage, which is mainly used for boosting voltage. A transformer substation may be a device for transforming voltage and current in a power system. Transformer substation equipment may be components constituting a transformer substation. Among them, transformer substation equipment may include lightning arresters, current transformers, voltage transformers, transformers, isolators and other components.

[0034] The model parameters may be parameter data obtained by scanning the substation equipment using laser scanning technology, wherein the parameter data may include three-dimensional coordinate data, feature data, point cloud data and other data of the substation equipment.

[0035] The constraint conditions may be used to constrain the connection relationship, installation position, insertion point setting position, and marking line position relationship between the various sub-devices in the substation equipment, and the embodiments of the present disclosure do not make specific limitations on this.

[0036] For example, the preset geometric model may be a plurality of geometric models determined according to the shape of the sub-device in the actual substation equipment. The substation equipment may include a plurality of sub-devices, and each sub-device may correspond to one geometric model or to a plurality of geometric models. For example, when the sub-device is a transformer, the corresponding geometric model may be a truncated cone, a rectangular ring, a truncated cone, etc.

[0037] The parametric modeling method can be a method for achieving model automation and optimization through parameter control. The parameters required in the parametric modeling method may include shape parameters, size parameters, and material parameters. The rule-based modeling method can be used to solve the problems of overfitting and high-risk data analysis in the model building process. The componentized modeling method can be a method for decomposing a large and complex system into smaller components or parts for model building. The point cloud reverse modeling method can be used to convert objects or scenes in the real world into three-dimensional models.

[0038] In the disclosed embodiment, after determining the model parameters and constraint adjustment of the substation equipment, the model parameters and the preset geometric model can be processed by one of the parameterized modeling method, the regularized modeling method, the componentized modeling method, and the point cloud reverse modeling method to obtain the first geometric model. The accuracy of the first geometric model can be improved.

[0039] In a possible manner, the first geometric model is obtained by processing the model parameters and the preset geometric model by the parametric modeling method, including: Determine the geometric parameters, characteristic parameters, relational parameters and logical relations in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relational parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relations are used to characterize the logical operation relations in the virtual model of the equipment; Processing the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters, and the logical relationship to obtain a second geometric model; The second geometric model is processed by at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

[0040] It should be understood that geometric parameters can be used to characterize the shape and size of the model, for example, they can be parameters such as the length of the transformer, the height of the transformer, etc. The geometric model based on the substation equipment can be determined by geometric parameters. Feature parameters can be variable parameters of special features in the virtual model of the equipment, for example, feature parameters can be aperture parameters, chamfer parameters or material parameters. Relationship parameters can be the relationship between various parameters in the virtual model of the equipment, such as parent-child relationships, assembly relationships, etc. Logical relationships can be logical operation relationships in the virtual model of the equipment, such as judgment relationships and conditional relationships in the process of building the virtual model of the equipment.

[0041] In the disclosed embodiment, the preset geometric model can be processed by a parametric modeling method for one or more of geometric parameters, feature parameters, relationship parameters, and logical relationships to obtain a second geometric model. The second geometric model can then be processed by at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model. This can improve the accuracy of the first geometric model.

[0042] Among them, the coordinate system conversion formula can be used for positioning and orientation in three-dimensional space, such as the rotation matrix formula, the translation vector formula, etc. The shape construction formula can be used to create basic aggregates or more complex shapes, and the shape can be obtained through methods such as Boolean operations or surface reconstruction technology. The texture mapping formula can be used to apply images or maps to the surface of the model, thereby making the model look more realistic and detailed. The lighting calculation formula can be used to simulate the effects of optical fiber reflection, refraction and scattering on the surface of the object to enhance the visual performance of the model. The shadow generation formula can be used to simulate the projection of an object under a light source to enhance the visual performance of the model. The collision detection formula can be used to determine whether a collision occurs between two or more models, as well as the location and direction of the collision. The physical simulation formula can be used to simulate the mechanical properties (such as elasticity, damping, etc.) and motion state of an object to achieve a more realistic performance.

[0043] In a possible manner, the first geometric model is obtained by processing the model parameters and the preset geometric model by the regularized modeling method, including: An additional term is introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional term is introduced to obtain the first geometric model, wherein the additional term includes at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization and tree model pruning.

[0044] It should be understood that when the model parameters and the preset geometric model are processed by the regularized modeling method, additional terms can be introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional terms are introduced to obtain the first geometric model. The additional terms include at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization, and tree model pruning, which is not specifically limited in the embodiments of the present disclosure.

[0045] Among them, L1 regularization can penalize the parameters in the model by adding the sum of the absolute values ​​of the model parameters in the loss function, so as to reduce the weights of some features to zero, thereby achieving feature selection. L2 regularization can penalize the parameters in the model by adding the sum of the squares of the model parameters in the loss function, which can reduce the value of the parameter and prevent the parameter from being too large, thereby improving the stability of the model. Singular value truncation regularization can reduce the dimension of the data and the complexity of the model by truncating the singular values ​​of the matrix. Total variation regularization can be used to smooth and remove noise from the surface image of the model. Tree model pruning can reduce the complexity of the model and improve the generalization ability by deleting some branches of the decision tree.

[0046] In a possible manner, when the model parameters and the preset geometric model are processed by a componentized modeling method to obtain a first geometric model, the preset geometric model can be decomposed into multiple preset geometric sub-models, and the model parameters can be decomposed into model sub-parameters corresponding to the preset geometric sub-models. In accordance with a hierarchical structure, the multiple preset geometric sub-models and the multiple model sub-parameters can be processed by at least one of an object-oriented modeling method, a functional modeling method, a process modeling method, a physical modeling method, and a component library modeling method to obtain the first geometric model.

[0047] In a possible manner, when the model parameters and the preset geometric model are processed by the point cloud reverse modeling method to obtain the first geometric model, the collected model parameters can be point cloud parameters. After that, the model parameters can be firstly processed and cleaned to remove noise, duplicate points and unnecessary parameters in the model parameters, and then the cleaned model parameters are reconstructed by point cloud to obtain a three-dimensional model, and then optimized in combination with the preset geometric model to obtain the first geometric model.

[0048] By constructing the first geometric model through different methods and according to the model parameters and the preset geometric model, the accuracy of the first geometric model can be improved.

[0049] For example, after the first geometric model is obtained, the device virtual model corresponding to the substation device may be determined according to the constraint conditions and the first geometric model.

[0050] In a possible manner, determining the device virtual model corresponding to the substation device according to the constraint condition and the first geometric model includes: Processing the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; According to the device material constraint condition in the constraint condition, the color of the basic material in the third geometric model is adjusted to obtain a fourth geometric model, wherein the device material constraint condition is used to characterize the corresponding relationship between the basic material and the color; According to the wiring point constraint condition in the constraint condition, the wiring points between the sub-devices in the fourth geometric model are constructed to obtain a fifth geometric model, wherein the wiring point constraint condition is used to constrain the connection mode between the devices in the device virtual model; The fifth geometric model is processed according to the annotation line constraint condition in the constraint condition to obtain the device virtual model, and the annotation line constraint condition is used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

[0051] It should be understood that in this embodiment, the constraint conditions may include insertion point constraint conditions, device material constraint conditions, wiring point constraint conditions, and annotation line constraint conditions, and the embodiment of the present disclosure does not specifically limit this. When determining the device virtual model based on the constraint conditions and the first geometric model, the first geometric model may be processed in sequence by different constraint conditions to obtain the device virtual model.

[0052] In a possible manner, the insertion point constraints include: The position of the insertion point is set at the midpoint origin of a single bracket, the center point of a multi-bracket connection line, a point of a common position of sub-equipment in the substation equipment, and the center point of sub-equipment in the substation equipment.

[0053] It should be understood that when the insertion point is set at the midpoint origin of a single bracket, applicable sub-equipment is a lightning arrester, a current transformer, a voltage transformer, and a pillar insulator, and the embodiments of the present disclosure do not make specific limitations on this. When the insertion point is set at the center point of the multi-bracket connection, applicable equipment is a multi-column disconnector and a neutral point device, and the embodiments of the present disclosure do not make specific limitations on this. When the insertion point is a point at the common position of the sub-equipment, applicable equipment includes the point where the center of the busbar bushing is vertical to the ground, and the embodiments of the present disclosure do not make specific limitations on this. When the insertion point is the center point of the sub-equipment in the substation equipment, applicable equipment includes transformers, station transformers, reactors, capacitor banks and other equipment, among which the center point of the sub-equipment in the substation equipment can also be the intersection of the central axis of the equipment plan in the manufacturer's data diagram, and the embodiments of the present disclosure do not make specific limitations on this.

[0054] In a possible manner, adjusting the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain the fourth geometric model includes: Determine the basic material of each sub-equipment in the substation equipment, wherein the basic material includes at least one of the equipment material, insulator string material, bracket material, civil foundation material and frame material of the substation equipment; A target material color is determined according to the basic material and the device material constraint condition, and the target material color is rendered into a sub-device corresponding to the third geometric model to obtain the fourth geometric model.

[0055] It should be understood that after the basic material is determined, the target material color can be determined according to the basic material and the device material constraint, and the target material color is rendered into the sub-device corresponding to the third geometric model to obtain the fourth geometric model. The device material constraint can be the correspondence between different basic materials and colors.

[0056] When the base material is the equipment material, the models corresponding to the equipment body, grading ring, and wiring point parts can be colored. When the base material is the insulator string material, the models corresponding to the equipment insulator part can be colored. When the base material is the bracket material, the models corresponding to the equipment bracket and the insulator bracket mounted on the wall can be colored. When the base material is the civil engineering foundation material, the models corresponding to the equipment foundation can be colored. When the base material is the frame material, the models corresponding to the entire station frame and the lightning rod can be colored. In this regard, the embodiments of the present disclosure do not make specific limitations.

[0057] In a possible manner, constructing the connection points between the sub-devices in the fourth geometric model according to the connection point constraint conditions in the constraint conditions to obtain the fifth geometric model includes: constructing connection points between the sub-devices of the fourth geometric model; For any wiring point, the phase sequence and parameter value of the wiring point are determined according to the wiring point constraint conditions, and based on the phase sequence and the parameter value, in the fourth geometric model, the wiring point is arranged to a position consistent with the direction of the terminal board to obtain the fifth geometric model.

[0058] It should be understood that the phase sequence can be the phase sequence of the three-phase power supply in the substation equipment, such as the A phase, the B phase and the C phase of the three-phase power supply. The parameter value can be used to ensure the correct connection and safe operation of the substation equipment. In this embodiment, a wiring point can be constructed between each sub-device of the fourth geometric model, and then for any wiring point, the phase sequence and parameter value of the wiring point can be determined according to the constraint condition of the wiring point.

[0059] In a possible manner, when the fifth geometric model is processed according to the annotation line constraint conditions to obtain the equipment virtual model, annotation can be performed according to parameters such as the length and height of the equipment.

[0060] Through the above technical solution, the parameter data of substation equipment is obtained by laser scanning, which can reduce the loss of substation equipment data. Then, the model parameters and the preset geometric model are processed by one of the parametric modeling method, the regularized modeling method, the componentized modeling method and the point cloud reverse modeling method, which can improve the accuracy of constructing the first geometric model, and then determine the equipment virtual model in combination with the constraint conditions. Compared with the method of constructing the equipment virtual model by software technology in the related art, the accuracy of the equipment virtual model can be improved.

[0061] Based on the same concept, this embodiment also discloses a device for determining a substation equipment model, referring to Figure 2 , Figure 2is a schematic diagram showing a device 200 for determining a substation equipment model according to an exemplary embodiment of the present disclosure, such as Figure 2 As shown, it includes a first determining module 201, a first processing module 202 and a second determining module 203; The first determination module 201 is used to determine the model parameters and constraints of the substation equipment in the boosting station, wherein the model parameters are used to characterize the parameter data of the substation equipment, and the constraints are used to constrain the performance of the substation equipment; The first processing module 202 is used to process the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method, and a point cloud reverse modeling method to obtain the first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; The second determination module 203 is used to determine the device virtual model corresponding to the substation device according to the constraint condition and the first geometric model.

[0062] Optionally, the first processing module 202 includes: A third determination module is used to determine the geometric parameters, characteristic parameters, relationship parameters and logical relationships in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relationship parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relationship is used to characterize the logical operation relationship in the virtual model of the equipment; A second processing module, configured to process the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters and the logical relationship to obtain a second geometric model; The third processing module is used to process the second geometric model through at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

[0063] Optionally, the first processing module 202 is used to: An additional term is introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional term is introduced to obtain the first geometric model, wherein the additional term includes at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization and tree model pruning.

[0064] Optionally, the second determining module 203 includes: a fourth processing module, configured to process the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; an adjustment module, configured to adjust the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain a fourth geometric model, wherein the device material constraint is used to characterize the corresponding relationship between the basic material and the color; a wiring point construction module, configured to construct wiring points between the sub-devices in the fourth geometric model according to the wiring point constraint conditions in the constraint conditions, so as to obtain a fifth geometric model, wherein the wiring point constraint conditions are used to constrain the connection mode between the devices in the device virtual model; The fifth processing module is used to process the fifth geometric model according to the annotation line constraint conditions in the constraint conditions to obtain the device virtual model, and the annotation line constraint conditions are used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

[0065] Optionally, the insertion point constraint condition includes: The position of the insertion point is set at the midpoint origin of a single bracket, the center point of a multi-bracket connection line, a point of a common position of sub-equipment in the substation equipment, and the center point of sub-equipment in the substation equipment.

[0066] Optionally, the adjustment module includes: A fourth determination module is used to determine the basic material of each sub-equipment in the substation equipment, wherein the basic material includes at least one of the equipment material, insulator string material, bracket material, civil foundation material and frame material of the substation equipment; The fifth determination module is used to determine the target material color according to the basic material and the device material constraint condition, and render the target material color to the sub-device corresponding to the third geometric model to obtain the fourth geometric model.

[0067] Optionally, the wiring point construction module includes: A wiring point construction submodule, used for constructing wiring points between the sub-devices of the fourth geometric model; A layout module is used to determine the phase sequence and parameter value of any wiring point according to the wiring point constraint conditions, and arrange the wiring point in the fourth geometric model to a position consistent with the direction of the terminal board according to the phase sequence and the parameter value to obtain the fifth geometric model.

[0068] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0069] Based on the same concept, this embodiment also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for determining a substation equipment model are implemented.

[0070] Based on the same concept, this embodiment also provides an electronic device, including: a memory having a computer program stored thereon; The processor is used to execute the computer program in the memory to implement the steps of the method for determining the substation equipment model.

[0071] Based on the same concept, this embodiment also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method for determining a substation equipment model disclosed in this embodiment.

[0072] Figure 3 FIG. 1 is a block diagram of an electronic device 300 according to an exemplary embodiment. Figure 3 As shown, the electronic device 300 may include: a processor 301 , a memory 302 . The electronic device 300 may also include one or more of a multimedia component 303 , an input / output (I / O) interface 304 , and a communication component 305 .

[0073] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned method for determining the substation equipment model. The memory 302 is used to store various types of data to support the operation of the electronic device 300. For example, these data may include instructions for any application or method used to operate on the electronic device 300, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 303 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 302 or sent through the communication component 305. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 304 provides an interface between the processor 301 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 305 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0074] In an exemplary embodiment, the electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned method for determining the substation equipment model.

[0075] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned method for determining a substation equipment model are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 302 including program instructions, and the above-mentioned program instructions may be executed by the processor 301 of the electronic device 300 to complete the above-mentioned method for determining a substation equipment model.

[0076] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0077] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0078] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A method for determining a substation equipment model, characterized in that: include: Determine the model parameters and constraint conditions of the substation equipment in the boosting station, wherein the model parameters are parameter data obtained by laser scanning the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment; Processing the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method, and a point cloud reverse modeling method to obtain a first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; According to the constraint conditions and the first geometric model, a device virtual model corresponding to the substation device is determined.

2. The method for determining a substation equipment model according to claim 1, characterized in that: Processing the model parameters and the preset geometric model by the parametric modeling method to obtain the first geometric model includes: Determine the geometric parameters, characteristic parameters, relational parameters and logical relations in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relational parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relations are used to characterize the logical operation relations in the virtual model of the equipment; Processing the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters, and the logical relationship to obtain a second geometric model; The second geometric model is processed by at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

3. The method for determining a substation equipment model according to claim 1, characterized in that: The first geometric model is obtained by processing the model parameters and the preset geometric model by the regularized modeling method, including: An additional term is introduced into the loss function corresponding to the preset geometric model, and the model parameters are processed by the preset geometric model after the additional term is introduced to obtain the first geometric model, wherein the additional term includes at least one of L1 regularization, L2 regularization, singular value truncation regularization, total variation regularization and tree model pruning.

4. The method for determining a substation equipment model according to claim 1, characterized in that: Determining the equipment virtual model corresponding to the substation equipment according to the constraint condition and the first geometric model includes: Processing the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; According to the device material constraint condition in the constraint condition, the color of the basic material in the third geometric model is adjusted to obtain a fourth geometric model, wherein the device material constraint condition is used to characterize the corresponding relationship between the basic material and the color; According to the wiring point constraint condition in the constraint condition, the wiring points between the sub-devices in the fourth geometric model are constructed to obtain a fifth geometric model, wherein the wiring point constraint condition is used to constrain the connection mode between the devices in the device virtual model; The fifth geometric model is processed according to the annotation line constraint condition in the constraint condition to obtain the device virtual model, and the annotation line constraint condition is used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

5. The method for determining a substation equipment model according to claim 4, characterized in that: The insertion point constraints include: The position of the insertion point is set at the midpoint origin of a single bracket, the center point of a multi-bracket connection line, a point of a common position of sub-equipment in the substation equipment, and the center point of sub-equipment in the substation equipment.

6. The method for determining a substation equipment model according to claim 4, characterized in that: The step of adjusting the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain the fourth geometric model includes: Determine the basic material of each sub-equipment in the substation equipment, wherein the basic material includes at least one of the equipment material, insulator string material, bracket material, civil foundation material and frame material of the substation equipment; A target material color is determined according to the basic material and the device material constraint condition, and the target material color is rendered into a sub-device corresponding to the third geometric model to obtain the fourth geometric model.

7. The method for determining a substation equipment model according to claim 4, characterized in that: The step of constructing the connection points between the sub-devices in the fourth geometric model according to the connection point constraint conditions in the constraint conditions to obtain the fifth geometric model includes: constructing connection points between the sub-devices of the fourth geometric model; For any wiring point, the phase sequence and parameter value of the wiring point are determined according to the wiring point constraint conditions, and based on the phase sequence and the parameter value, in the fourth geometric model, the wiring point is arranged to a position consistent with the direction of the terminal board to obtain the fifth geometric model.

8. A device for determining a substation equipment model, characterized in that: It includes a first determining module, a first processing module and a second determining module; The first determination module is used to determine the model parameters and constraint conditions of the substation equipment in the boosting station, wherein the model parameters are used to characterize the parameter data of the substation equipment, and the constraint conditions are used to constrain the performance of the substation equipment; The first processing module is used to process the model parameters and the preset geometric model by one of a parametric modeling method, a regularized modeling method, a componentized modeling method and a point cloud reverse modeling method to obtain a first geometric model corresponding to the substation equipment, wherein the preset geometric model is determined by the physical structure of the substation equipment; The second determination module is used to determine the equipment virtual model corresponding to the substation equipment according to the constraint condition and the first geometric model.

9. The device for determining a substation equipment model according to claim 8, characterized in that: The first processing module comprises: A third determination module is used to determine the geometric parameters, characteristic parameters, relationship parameters and logical relationships in the model parameters, wherein the geometric parameters are used to characterize the size data of the substation equipment, the characteristic parameters are used to characterize the special ratio variable data of the substation equipment, the relationship parameters are used to characterize the relationship data between the various equipment parameters in the substation equipment, and the logical relationship is used to characterize the logical operation relationship in the virtual model of the equipment; A second processing module, configured to process the preset geometric model by using a parametric modeling method on at least one of the geometric parameters, the feature parameters, the relationship parameters and the logical relationship to obtain a second geometric model; The third processing module is used to process the second geometric model through at least one of a coordinate system conversion formula, a shape construction formula, a texture mapping formula, a lighting calculation formula, a shadow generation formula, a collision detection formula, and a physical simulation formula to obtain the first geometric model.

10. The device for determining a substation equipment model according to claim 8, characterized in that: The second determining module comprises: a fourth processing module, configured to process the first geometric model according to an insertion point constraint in the constraint conditions to obtain a third geometric model, wherein the insertion point constraint is used to constrain the arrangement and installation position of the equipment in the equipment virtual model; an adjustment module, configured to adjust the color of the basic material in the third geometric model according to the device material constraint in the constraint to obtain a fourth geometric model, wherein the device material constraint is used to characterize the corresponding relationship between the basic material and the color; a wiring point construction module, configured to construct wiring points between the sub-devices in the fourth geometric model according to the wiring point constraint conditions in the constraint conditions, so as to obtain a fifth geometric model, wherein the wiring point constraint conditions are used to constrain the connection mode between the devices in the device virtual model; The fifth processing module is used to process the fifth geometric model according to the annotation line constraint conditions in the constraint conditions to obtain the device virtual model, and the annotation line constraint conditions are used to characterize the corresponding relationship between the device and the connection line in the device virtual model.

11. A non-transitory 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 7 are implemented.

12. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 7.

13. 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 7 are implemented.

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