Cabinet digital twinborn model construction method, system and equipment and storage medium

Abstract

The invention discloses a digital twinborn model construction method, system and equipment of a cabinet body and a storage medium. The method comprises the following steps: obtaining theoretical basic data and test data of the cabinet body; constructing a three-dimensional model of the cabinet body according to the theoretical basic data, and calculating theoretical modal data of the three-dimensional model; marking the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; and according to the test data, correcting the theoretical modal data, further correcting the theoretical simulation model, and generating a digital twinborn model of the cabinet body. The simulation precision of the cabinet body can be improved, the simulation model can predict the maintenance requirement and the maintenance period of the electrical cabinet, preventive maintenance is carried out in advance, and the service life of the electrical cabinet is prolonged.

Description

Technical Field

[0001] The present invention belongs to the field of simulation modeling, and relates to a method, a system, a device and a storage medium for constructing a digital twin model of a cabinet body. Background Art

[0002] As an important power distribution device in the power system, the structural reliability of an electrical cabinet directly affects the safe operation of key power facilities. Due to its high voltage level, the cabinet body is in a complex electromagnetic environment, large current load and changing working conditions for a long time, and problems such as partial discharge, abnormal temperature rise, and mechanical deformation are likely to occur, resulting in insulation failure or equipment failure. Therefore, constructing a high-precision simulation model is of great significance for the performance prediction, fault diagnosis and maintenance planning of electrical cabinets.

[0003] Currently, the simulation modeling of electrical cabinets mainly relies on theoretical calculations and finite element analysis. For example, static three-dimensional modeling based on structural data, or calculating modal characteristics through finite element equations (such as stiffness matrices and mass matrices). However, the traditional methods have the following limitations: pure theoretical models are difficult to truly reflect the characteristics of electrical cabinets under actual working conditions and other real factors, resulting in a large difference between simulation results and test data. Summary of the Invention

[0004] The purpose of the present invention is to overcome the above-mentioned shortcomings of the prior art, and provide a method, a system, a device and a storage medium for constructing a digital twin model of a cabinet body, which can improve the simulation accuracy of the cabinet body, enable the simulation model to predict the maintenance requirements and maintenance cycle of the electrical cabinet, perform preventive maintenance in advance, and extend the service life of the electrical cabinet.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: A method for constructing a digital twin model of a cabinet body includes the following processes: Obtain the theoretical basic data and test data of the cabinet body; According to the theoretical basic data, construct a three-dimensional model of the cabinet body, and calculate the theoretical modal data of the three-dimensional model; annotate the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; According to the test data, correct the theoretical modal data, and then correct the theoretical simulation model to generate a digital twin model of the cabinet body.

[0006] Preferably, the theoretical basic data includes structural data and performance data. The structural data is used to construct a three-dimensional model of the cabinet body, and the performance data represents the performance of the cabinet body under different working conditions.

[0007] Preferably, according to the structural data, construct a three-dimensional model of the cabinet body; according to the structural data and performance data, calculate the theoretical modal data of the three-dimensional model.

[0008] Preferably, the process of calculating the theoretical modal data of the three-dimensional model based on the structural data and performance data is as follows: according to the mesh division rule, the three-dimensional model is divided into multiple units, and each unit is a sub-model of the three-dimensional model; according to the position of each unit in the three-dimensional model, all the units are sorted to determine the model sequence; according to the modal calculation rule and the performance data, the theoretical modal data of each unit in the model sequence is calculated in turn.

[0009] Preferably, the process of calculating the theoretical modal data of each unit in the model sequence according to the modal calculation rule and the performance data is as follows: according to the structural data and performance data of each unit, the theoretical modal data of each unit is calculated. When the theoretical modal data of all the units in the model sequence are calculated, the calculation of the theoretical modal data of the three-dimensional model is completed.

[0010] Preferably, the calculation process of the theoretical modal data of a single unit is as follows: Substitute the structural data into the finite element analysis equation to obtain the first modal data; Substitute the performance data into the multi-physics field coupling equation to obtain the second modal data; Substitute the performance data into the dynamic excitation equation based on error optimization to obtain the third modal data; Substitute the performance data into the thermal simulation equation to obtain the fourth modal data; The four modal data together constitute the theoretical modal data of a single unit.

[0011] Preferably, the theoretical modal data of a single unit includes the bearing capacity of the electrical cabinet, the heat transfer coefficient of the cabinet body material, the temperature difference, and the heat generation of the unit.

[0012] A digital twin model construction system for a cabinet body includes: A data acquisition module for acquiring the theoretical basic data and test data of the cabinet body; A theoretical model construction module for constructing a three-dimensional model of the cabinet body according to the theoretical basic data, and calculating the theoretical modal data of the three-dimensional model; making annotations on the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; A digital twin model generation module for correcting the theoretical modal data according to the test data, and further correcting the theoretical simulation model to generate a digital twin model of the cabinet body.

[0013] An electronic device includes a memory and a processor. A computer program is stored on the memory, and when the processor executes the program, the digital twin model construction method of the cabinet body is implemented.

[0014] A computer-readable storage medium stores a computer program thereon, and when the program is executed by a processor, it implements the method for constructing a digital twin model of the cabinet body described above.

[0015] Compared with the prior art, the present invention has the following beneficial effects: Based on theoretical basic data and test data, the present invention constructs a three-dimensional model, annotates the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model, and corrects the theoretical simulation model according to the test data, and uses the corrected model as the digital twin model. The digital twin technology is used to correct the simulation model, improving the problem of low accuracy of traditional simulation models, enabling the simulation model to predict the maintenance requirements and maintenance cycles of electrical cabinets, performing preventive maintenance in advance, and extending the service life of electrical cabinets. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of the method for constructing a digital twin model of the cabinet body of the present invention; Figure 2 It is a digital twin model diagram of the cabinet body of the present invention; Figure 3 It is an exploded view of the digital twin model of the cabinet body of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The embodiments of the present invention will be described in detail below.

[0018] Embodiment 1: As Figure 1 shown, it is the method for constructing a digital twin model of the cabinet body described in this embodiment, including the following processes: Obtain the theoretical basic data and test data of the cabinet body.

[0019] According to the theoretical basic data, construct a three-dimensional model of the cabinet body, and calculate the theoretical modal data of the three-dimensional model; annotate the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model.

[0020] According to the test data, correct the theoretical modal data, and then correct the theoretical simulation model to generate a digital twin model of the cabinet body.

[0021] Embodiment 2: The method for constructing a digital twin model of a cabinet body described in this embodiment. In this embodiment, the cabinet body is a 40.5 kV electrical cabinet, including the following processes: Step 1: Obtain the theoretical basic data and test data of the electrical cabinet structure.

[0022] Specifically, the above-mentioned theoretical basic data include the structural data and performance data of the electrical cabinet structure. The above-mentioned structural data include dimensions, materials, and structures, representing the specific shape and structure of the electrical cabinet structure. A three-dimensional model of the electrical cabinet structure can be constructed based on the structural data.

[0023] The above-mentioned performance data include the static bearing capacity, displacement, heat conduction performance, etc. of the electrical cabinet structure system under different working conditions. The above-mentioned performance data refer to various direct actions applied to the electrical cabinet structure that cause effects on the electrical cabinet structure. The above-mentioned performance data include, but are not limited to, natural environments such as wind, snow, and rain.

[0024] The above-mentioned test data include multiple groups of data. Each group of data corresponds to the model data under a simulated working condition. The above-mentioned model data represent the vibration characteristics, temperature, humidity, leakage current, insulation impedance, etc. of the electrical cabinet structure under the corresponding working condition. The above-mentioned working conditions include, but are not limited to, rated current, lightning impulse current, power frequency current, etc.

[0025] Before each electrical cabinet structure test, it is necessary to supply a rated current of 31.5 kA to the electrical cabinet, use a megohmmeter or insulation resistance tester to check the insulation of the switch cabinet, connect the high-voltage wire of the power frequency withstand voltage test device to the incoming line terminal of the device under test, and connect the ground wire to the outgoing line terminal of the device under test and ground it simultaneously. According to the test requirements, gradually increase the voltage to the specified value, determine whether the partial discharge meets the requirements, and at the same time, through devices such as sensors, simulations, temperature and humidity controllers, and resistance meters, obtain the vibration value, temperature, humidity, leakage current, and insulation impedance of the electrical cabinet. Through the above experimental process, the corresponding test data can be obtained.

[0026] Step 2: Construct a theoretical simulation model based on the theoretical basic data.

[0027] Specifically, a three-dimensional model of the electrical cabinet structure is constructed according to the structural data in the theoretical basic data. According to the structural data and performance data, the corresponding theoretical modal data of the three-dimensional model are calculated, and the three-dimensional model of the electrical cabinet structure is marked according to the obtained theoretical modal data. The marked three-dimensional model of the electrical cabinet structure is the theoretical simulation model.

[0028] The process of calculating the theoretical modal data of the three-dimensional model according to the structural data and performance data is as follows: According to the mesh division rules, the three-dimensional model is divided into multiple units. The above-mentioned units are part of the three-dimensional model, that is, the sub-models of the three-dimensional model; according to the positions of the above-mentioned units, that is, the above-mentioned sub-models, in the three-dimensional model, the units are sorted to determine the model sequence; according to the modal calculation rules, structural data, and performance data, the theoretical modal data of the units in the above-mentioned model sequence are calculated in turn.

[0029] Substitute the above structural data into the preset first modal equation to obtain the first modal data; substitute the performance data into the preset second modal equation to obtain the second modal data, where the second modal data is the modal data of the electric field, magnetic field, thermal field, etc. of the 3D model; substitute the performance data into the preset third modal equation to obtain the third modal data, where the third modal data is the modal data after error optimization of the 3D model; substitute the performance data into the preset fourth modal equation to obtain the fourth modal data, where the fourth modal data is the modal data of the thermal characteristics of the 3D model. The four modal data together constitute the theoretical modal data of a single unit, and the theoretical modal data of a single unit includes data such as stiffness, displacement, electric field, magnetic field, density, specific heat capacity, etc. corresponding to the unit.

[0030] The first modal equation adopts the finite element analysis equation: [K]{u}=[M]{v}, where [K] is the stiffness matrix, representing the stiffness characteristics of the unit and describing the elastic behavior of the unit. {u} is the displacement vector, representing the displacement of each node in the unit. [M] is the mass matrix, representing the mass distribution of the unit and describing the inertial characteristics of the unit. {v} is the velocity vector, representing the velocity of each node in the unit.

[0031] The second modal equation adopts the multi-physics field coupling equation: ▽•(ε▽V)=p, where ∇ is the divergence operator, representing the divergence of the vector field. ε is the dielectric constant, describing the response characteristics of the medium in the electric field. ∇V is the electric potential gradient, representing the spatial change rate of the electric potential V. V is the electric potential, representing the electric potential distribution in the electric field. p is the charge density, representing the distribution of charges in space.

[0032] The third modal equation adopts the dynamic excitation equation based on error optimization: g(x1,x2,.....xn)=||f(x1,x2,.....xn)-f′(x1,x2,.....xn)||, where g is the error function, representing the error or difference between the objective function and the optimization result. f is the objective function, representing the physical quantity to be optimized or the behavior of the unit, f′ is the optimization result, representing the value after optimization of the objective function, and x1,x2,.....xn are the optimization variables, representing the independent variables or design parameters in the optimization problem.

[0033] The fourth modal equation adopts the thermal simulation equation: pc•∂T / ∂t=▽•(k▽T)+Q, where ρ is the density, representing the density of the material. c is the specific heat capacity, representing the heat capacity per unit mass of the material. ∂T / ∂t is the partial derivative of temperature with respect to time, representing the rate of change of temperature with time. ▽ is the divergence operator, representing the divergence of the vector field. k is the thermal conductivity, representing the heat conduction ability of the material. ▽T is the temperature gradient, representing the spatial change rate of temperature. T is the temperature, representing the temperature distribution in the unit. Q is the heat source term, representing the heat generated per unit volume in the unit.

[0034] According to the different structural data and performance data of each unit, calculate the modal data of the units in the model sequence in turn. When the theoretical modal data of the units in the model sequence are all calculated, the theoretical modal data of the 3D model are calculated. The theoretical modal data of the 3D model include the bearing capacity of the electrical cabinet, the heat transfer coefficient of the cabinet body material, the temperature difference, and the heat generation of the unit.

[0035] Step 3: Modify the theoretical simulation model according to the test data to determine the digital twin model.

[0036] Specifically, for each working condition, compare the theoretical modal data (bearing capacity of the electrical cabinet, heat transfer coefficient of the cabinet body material, temperature difference, and heat generation of the unit) of each unit above with the corresponding model data (i.e., vibration characteristics, temperature, humidity, leakage current, and insulation impedance) in the above test data in turn. When the theoretical modal data and the test data are different, modify the corresponding theoretical value on the 3D model to the actual value. Complete the judgment of the theoretical modal data of all nodes in the 3D model in turn, complete the judgment and modify the theoretical simulation model. The modified model is the digital twin model.

[0037] As Figure 2 and Figure 3 shown, it is the digital twin model generated in the software based on the above process.

[0038] Test the digital twin model: Obtain the test data, and the above test data represents the load current under the actual working condition. Input the above test data into the modified digital twin model, and the predicted results can be obtained. The above predicted results include temperature, humidity, leakage current, and insulation impedance.

[0039] Judge whether the above maximum current is greater than the peak current, whether the above maximum temperature is greater than the temperature threshold, whether the above maximum humidity is greater than the humidity threshold, and whether the insulation impedance is greater than the impedance threshold. When any of the above values is greater than the corresponding threshold, output an alarm message, and the above alarm message is used to prompt the staff that the electrical cabinet structure may have a fault alarm under the actual working condition. According to the different load currents, the above temperature and humidity thresholds and insulation thresholds are also different.

[0040] Through the above digital twin model, the circuit faults and temperature changes of the electrical cabinet structure can be predicted according to the load current under different working conditions. Through the digital twin model, the maintenance requirements and maintenance cycles of the electrical cabinet can be predicted, and preventive maintenance can be carried out in advance to extend the service life of the electrical cabinet.

[0041] Example 3: In this embodiment, a cabinet digital twin model construction system is provided. This cabinet digital twin model construction system can be used to implement the above-mentioned cabinet digital twin model construction method. Specifically, this cabinet digital twin model construction system includes a data acquisition module, a theoretical model construction module, and a digital twin model generation module.

[0042] Among them, the data acquisition module is used to acquire the theoretical basic data and test data of the cabinet.

[0043] The theoretical model construction module is used to construct a three-dimensional model of the cabinet according to the theoretical basic data, and calculate the theoretical modal data of the three-dimensional model; annotate the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model.

[0044] The digital twin model generation module is used to correct the theoretical modal data according to the test data, and then correct the theoretical simulation model to generate a digital twin model of the cabinet.

[0045] Embodiment 4: In this embodiment, a terminal device is provided. This terminal device includes a processor and a memory. The memory is used to store a computer program. The computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operations of the cabinet digital twin model construction method, including: acquiring the theoretical basic data and test data of the cabinet; constructing a three-dimensional model of the cabinet according to the theoretical basic data, and calculating the theoretical modal data of the three-dimensional model; annotating the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; correcting the theoretical modal data according to the test data, and then correcting the theoretical simulation model to generate a digital twin model of the cabinet.

[0046] Embodiment 5: In this embodiment, a computer-readable storage medium (Memory) is provided. The computer-readable storage medium is a memory device in a terminal device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. Moreover, one or more instructions suitable for being loaded and executed by a processor are stored in this storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, and a read-only memory (ROM, Read-Only Memory).

[0047] One or more instructions stored in the computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the cabinet digital twin model construction method in the above embodiment; one or more instructions in the computer-readable storage medium are loaded and executed by the processor to perform the following steps: The processor described in the embodiment of the present invention can be used for the operation of the cabinet digital twin model construction method, including: obtaining the theoretical basic data and test data of the cabinet; constructing a three-dimensional model of the cabinet according to the theoretical basic data, and calculating the theoretical modal data of the three-dimensional model; making annotations on the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; correcting the theoretical modal data according to the test data, and further correcting the theoretical simulation model to generate a digital twin model of the cabinet.

[0048] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program codes.

[0049] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce a means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the functions specified in multiple blocks.

[0050] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including an instruction means that implements the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the functions specified in multiple blocks.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the functions specified in multiple blocks.

[0052] The serial numbers of the above embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0053] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0054] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

[0055] It should be understood that the above description is for illustrative purposes and not for limitation. Upon reading the above description, many embodiments and many applications other than the provided examples will be apparent to those skilled in the art. Accordingly, the scope of this patent should not be determined with reference to the above description, but should be determined with reference to the full scope of the foregoing claims and the equivalents thereof. For the sake of completeness, all articles and references, including patent applications and published announcements, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein from the foregoing claims is not intended to abandon such subject matter, nor should it be considered that the applicant has not considered such subject matter to be part of the disclosed inventive subject matter.

Claims

1. A method for constructing a digital twin model of a cabinet, characterized in that: The process includes: Obtain theoretical basic data and test data of the cabinet; According to the theoretical basic data, a three-dimensional model of the cabinet is constructed, and theoretical modal data of the three-dimensional model is calculated; the three-dimensional model is annotated according to the theoretical modal data to obtain a theoretical simulation model; According to the test data, the theoretical modal data is corrected, and then the theoretical simulation model is corrected to generate a digital twin model of the cabinet.

2. The method for constructing a digital twin model of a cabinet according to claim 1, characterized in that: The theoretical basic data includes structural data and performance data. The structural data is used to construct a three-dimensional model of the cabinet, and the performance data represents the performance of the cabinet under different working conditions.

3. The method for constructing a digital twin model of a cabinet according to claim 2, characterized in that: A three-dimensional model of the cabinet is constructed according to the structural data; and theoretical modal data of the three-dimensional model is calculated according to the structural data and performance data.

4. The method for constructing a digital twin model of a cabinet according to claim 2, characterized in that: According to the structural data and the performance data, the process of calculating the theoretical modal data of the three-dimensional model is as follows: according to the grid division rule, the three-dimensional model is divided into a plurality of units, each unit being a sub-model of the three-dimensional model; according to the position of each unit in the three-dimensional model, all units are sorted to determine the model sequence; according to the modal calculation rule and the performance data, the theoretical modal data of each unit in the model sequence is calculated in sequence.

5. The method for constructing a digital twin model of a cabinet according to claim 4, characterized in that: The process of calculating the theoretical modal data of each unit in the model sequence in turn according to the modal calculation rules and the performance data is as follows: the theoretical modal data of each unit is calculated according to the structural data and performance data of each unit, and when the theoretical modal data of the units in the model sequence are all calculated, the theoretical modal data of the three-dimensional model is calculated.

6. The method for constructing a digital twin model of a cabinet according to claim 5, characterized in that: The calculation process of the theoretical modal data of a single unit is: Substitute the structural data into the finite element analysis equation to obtain the first modal data; Substituting the performance data into the multi-physics field coupling equation to obtain the second modal data; Substituting the performance data into a dynamic excitation equation based on error optimization to obtain third modal data; Substituting the performance data into the thermal simulation equation to obtain fourth mode data; The four modal data together constitute the theoretical modal data of a single unit.

7. The method for constructing a digital twin model of a cabinet according to claim 6, characterized in that: The theoretical modal data of a single unit include the load-bearing capacity of the electrical cabinet, the heat transfer coefficient of the cabinet material, the temperature difference and the unit heat generation.

8. A digital twin model building system for a cabinet, characterized in that: include: Data acquisition module, used to obtain theoretical basic data and test data of the cabinet; A theoretical model construction module is used to construct a three-dimensional model of the cabinet according to the theoretical basic data, and calculate the theoretical modal data of the three-dimensional model; annotate the three-dimensional model according to the theoretical modal data to obtain a theoretical simulation model; The digital twin model generation module is used to correct the theoretical modal data according to the test data, and then correct the theoretical simulation model to generate a digital twin model of the cabinet.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the cabinet digital twin model construction method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the cabinet digital twin model construction method as described in any one of claims 1 to 7 are implemented.

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