Fault influence range prediction method and device and electronic equipment

Abstract

The invention discloses a fault influence range prediction method and device and electronic equipment. The method comprises the following steps: constructing an initial simulation model of a target cable, and determining a fault position of a to-be-simulated fault on the target cable; a first simulation model is constructed at the fault position, a candidate simulation model is obtained, and the first simulation model is a simulation model of a fault object causing the target cable to have a fault to be simulated; constructing a finite element simulation model of a physical field where the target cable is located, and adding the candidate simulation model into the finite element simulation model to obtain a target simulation model; and inputting the operation parameters of the target cable into the target simulation model, operating the target simulation model, detecting the change condition of each physical quantity in the physical field, and determining the fault influence range of the to-be-simulated fault according to the change condition. Through the method and the device, the problems of relatively high risk and relatively low accuracy of analyzing the fault influence range when the cable is in the fault state in the prior art are solved.

Description

Technical Field

[0001] The present application relates to the field of power systems, and in particular to a method, device and electronic device for predicting a fault impact range. Background Art

[0002] In the power transmission and distribution system, cables are key energy transmission media, and their stability and reliability are crucial to the safe operation of the entire power grid. However, in actual operation, cables may fail for various reasons, among which cable buffer layer ablation is a common type of failure.

[0003] The cable buffer layer is usually located between the insulation layer and the metal sheath of the cable, and its main function is to protect the insulation layer from mechanical damage and moisture intrusion. When the cable buffer layer is ablated, its original protection function will be seriously affected, and may even cause further damage to the cable insulation layer, leading to serious consequences such as short circuit and fire. Therefore, in the case of ablation failure of the cable buffer layer, it is necessary to accurately analyze the image range of the ablation failure on the cable, and then deal with the affected cable part in time according to the impact range to avoid expanding the impact range of the ablation failure.

[0004] At present, when determining the impact range of cable buffer layer ablation fault, the main method used is to analyze the fault impact range while keeping the cable in the fault state. This method has many limitations. First, since the cable is still energized in the fault state, it is highly dangerous to analyze the fault impact range, which poses a threat to the safety of operators. Secondly, due to the complexity of the fault site, this method is often difficult to accurately determine the fault impact range, resulting in blindness and inefficiency in maintenance work.

[0005] With regard to the problems in related technologies of high risk and low accuracy in analyzing the scope of fault impact when the cable is in a fault state, no effective solution has been proposed so far. Summary of the invention

[0006] The present application provides a method, device and electronic device for predicting a fault impact range, so as to solve the problem of high risk and low accuracy in analyzing the fault impact range when a cable is in a fault state in the related art.

[0007] According to one aspect of the present application, a method for predicting the scope of fault impact is provided. The method includes: constructing an initial simulation model of a target cable and determining the fault location of the fault to be simulated on the target cable; constructing a first simulation model at the fault location to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the fault to be simulated in the target cable; constructing a finite element simulation model of the physical field in which the target cable is located, and adding the candidate simulation model to the finite element simulation model to obtain a target simulation model; inputting the operating parameters of the target cable into the target simulation model, running the target simulation model, and detecting the changes in various physical quantities in the physical field, and determining the fault impact scope of the fault to be simulated according to the changes.

[0008] Optionally, constructing an initial simulation model of the target cable includes: determining structural information, dimensional parameters and material parameters for constructing the target cable, and building a three-dimensional geometric model of the target cable according to the structural information and dimensional parameters to obtain an initial simulation model, wherein the structural information includes: constructing structural layers of the target cable, and the arrangement order between each structural layer, the dimensional parameters include the thickness and radius of each structural layer, and the material parameters include electrical conductivity, relative dielectric constant, density, thermal conductivity, and constant-pressure heat capacity.

[0009] Optionally, constructing a first simulation model at the fault location to obtain a candidate simulation model includes: determining the number and arrangement of the first simulation models in the initial simulation model according to the fault to be simulated; determining the construction position of at least one first simulation model in the candidate simulation model according to the number and arrangement; and constructing the first simulation model in the initial simulation model according to the construction position to obtain the candidate simulation model.

[0010] Optionally, constructing a first simulation model in the initial simulation model according to the construction position to obtain a candidate simulation model includes: creating a cylindrical simulation model along the radial direction of the target cable according to a first preset size at each construction position, wherein the axis of the cylindrical simulation model passes through the trough of the tight contact portion between the corrugated aluminum sheath and the buffer layer in the target cable, and the center of the bottom surface of the cylindrical simulation model is located on the outer diameter of the buffer layer; performing an intersection operation on the model area of ​​the cylindrical simulation model and the model area of ​​the buffer layer to obtain a first intersection model area; performing a difference operation on the first intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a first difference model area; determining the model in the first difference model area as the first simulation model, and determining the initial simulation model containing the first simulation model as the candidate simulation model.

[0011] Optionally, constructing a first simulation model in the initial simulation model according to the construction position to obtain a candidate simulation model includes: creating a rectangle on the outer diameter edge of the buffer layer along the longitudinal section of the target cable according to a second preset size at each construction position, and the geometric center of the rectangle is located on the trough of the corrugated aluminum sheath; extending the rectangle along the curvature direction of the target cable to obtain a strip-type simulation model; performing an intersection operation on the model area of ​​the strip-type simulation model and the model area of ​​the buffer layer to obtain a second intersection model area; performing a difference operation on the second intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a second difference model area; determining the model in the second difference model area as the first simulation model, and determining the initial simulation model containing the first simulation model as the candidate simulation model.

[0012] Optionally, a finite element simulation model of the physical field in which the target cable is located is constructed, and the candidate simulation model is added to the finite element simulation model to obtain the target simulation model, including: determining the temperature field parameters and electromagnetic field parameters of the target cable under normal operating conditions, and constructing a finite element simulation model based on the temperature field parameters and electromagnetic field parameters; adding the candidate simulation model to the finite element simulation model, and determining the boundary conditions of the target cable; adding the boundary conditions to the candidate simulation model to obtain the target simulation model.

[0013] Optionally, detecting changes in various physical quantities in the physical field and determining the fault impact range of the fault to be simulated based on the changes include: acquiring electrical parameters and temperature parameters of the target cable at each sampling point according to a preset sampling period to obtain multiple electrical parameter sets and multiple temperature parameter sets; drawing electrical parameter change curves at each sampling point according to each electrical parameter set, and drawing temperature parameter change curves at each sampling point according to each temperature parameter set; and determining the fault impact range of the fault to be simulated based on the electrical parameter change curves and the temperature parameter change curves.

[0014] According to another aspect of the present application, a device for predicting the scope of fault influence is provided. The device includes: a first construction unit, which is used to construct an initial simulation model of a target cable and determine the fault position of the fault to be simulated on the target cable; a second construction unit, which is used to construct a first simulation model at the fault position to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the fault to be simulated in the target cable; an adding unit, which is used to construct a finite element simulation model of the physical field where the target cable is located, and add the candidate simulation model to the finite element simulation model to obtain a target simulation model; a determining unit, which is used to input the operating parameters of the target cable into the target simulation model, run the target simulation model, and detect the changes in various physical quantities in the physical field, and determine the fault influence scope of the fault to be simulated according to the changes.

[0015] According to another aspect of the present invention, a computer program product is provided, including a computer program, which, when executed by a processor, implements a method for predicting a fault impact range provided in the aforementioned embodiment of the present application.

[0016] According to another aspect of the present invention, an electronic device is also provided, comprising one or more processors and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein when the computer-readable instructions are executed, a method for predicting the scope of fault impact provided in the aforementioned embodiment is executed.

[0017] Through this application, the following steps are adopted: constructing an initial simulation model of the target cable, and determining the fault position of the fault to be simulated on the target cable; constructing a first simulation model at the fault position to obtain a candidate simulation model, wherein the first simulation model is a simulation model of the fault object that causes the fault to be simulated in the target cable; constructing a finite element simulation model of the physical field where the target cable is located, and adding the candidate simulation model to the finite element simulation model to obtain a target simulation model; inputting the operating parameters of the target cable into the target simulation model, running the target simulation model, and detecting the changes of various physical quantities in the physical field, and determining the fault impact range of the fault to be simulated according to the changes. The problem of high risk and low accuracy in analyzing the fault impact range when the cable is in a fault state in the related art is solved. By using a method combining finite element simulation with fault object modeling, the initial simulation model of the target cable is first constructed, and a simulation model of the fault object is constructed at the fault position of the target cable, which is integrated into the finite element simulation model of the physical field where the target cable is located to form a complete target simulation model. By inputting the operating parameters of the target cable and running the simulation model, the changes of various physical quantities in the physical field can be monitored in real time, so as to accurately determine the fault impact range of the fault to be simulated, thereby achieving the effect of improving the accuracy and efficiency of fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 is a flowchart of a method for predicting a fault impact range provided in an embodiment of the present application;

[0020] Figure 2 is a schematic diagram of the change of temperature with the size of white particles provided in an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of cylindrical white particles provided according to an embodiment of the present application;

[0022] Figure 4 is a schematic diagram of strip-shaped white particles provided according to an embodiment of the present application;

[0023] Figure 5 is a schematic diagram of a device for predicting a fault impact range provided in an embodiment of the present application;

[0024] Figure 6 It is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] It should be noted that the prediction method, device and electronic device for the fault impact scope determined in the present disclosure can be used in the field of power systems, and can also be used in any field other than the field of power systems. The application field of the prediction method, device and electronic device for the fault impact scope determined in the present disclosure is not limited.

[0029] It should be noted that the collected information, user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) used in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data are in compliance with the relevant laws, regulations and standards of the relevant regions, necessary confidentiality measures are taken, and public order and good customs are not violated. Corresponding operation portals are provided for users to choose to authorize or refuse to use. For example, an interface is set up between this system and relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0030] The embodiments or examples of the present disclosure are not exhaustive, but are only illustrative of some embodiments or examples, and are not intended to be specific limitations on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment or example can be implemented as an independent example, and the steps can be combined arbitrarily. For example, the scheme after removing some steps in a certain embodiment or example can also be implemented as an independent example, and the order of the steps in a certain embodiment or example can be arbitrarily exchanged. In addition, the optional methods or optional examples in a certain embodiment or example can be combined arbitrarily; in addition, the various embodiments or examples can be combined arbitrarily, for example, some or all steps of different embodiments or examples can be combined arbitrarily, and a certain embodiment or example can be combined arbitrarily with the optional methods or optional examples of other embodiments or examples.

[0031] For the convenience of description, some nouns or terms involved in the embodiments of the present application are explained below:

[0032] The cable is composed of a cable core, a conductor shielding layer, an insulating layer, an insulating shielding layer, a buffer layer, a corrugated aluminum sheath, and an outer sheath. Among them, the conductor shielding layer, also known as the inner semi-conductive layer, is an important component in the cable structure. It is mainly located on the outer surface of the cable conductor and tightly wrapped around the conductor. The insulating shielding layer is located on the outer surface of the cable insulation layer. Its main function is to homogenize the electric field distribution and prevent the electric field from being too concentrated on the surface of the insulation layer, thereby avoiding the occurrence of partial discharge. The buffer layer is located between the corrugated aluminum sheath and the insulating shielding layer. The main function of the buffer layer is to protect the insulating shielding layer from mechanical damage and chemical corrosion of the metal sheath, while improving the water-blocking performance of the cable. The corrugated aluminum sheath is the outer protective layer in the cable structure. It is usually made of aluminum material and is specially treated to form a corrugated shape. The main function of the corrugated aluminum sheath is to protect the cable from mechanical damage, chemical corrosion and environmental conditions.

[0033] According to an embodiment of the present application, a method for predicting a fault impact range is provided. Figure 1 FIG. 1 is a flow chart of a method for predicting a fault impact range according to an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0034] Step S101: construct an initial simulation model of a target cable and determine the fault location of a fault to be simulated on the target cable.

[0035] Specifically, when predicting the fault impact range of the target cable, it is first necessary to construct an initial simulation model of the target cable, and then add fault points to the initial simulation model, so as to simulate the state of the target cable fault through the simulation model.

[0036] Optionally, in the fault impact range prediction method provided in an embodiment of the present application, constructing an initial simulation model of the target cable includes: determining the structural information, dimensional parameters and material parameters of the target cable, and building a three-dimensional geometric model of the target cable according to the structural information and dimensional parameters to obtain an initial simulation model, wherein the structural information includes: constructing the structural layers of the target cable, and the arrangement order between each structural layer, the dimensional parameters include the thickness and radius of each structural layer, and the material parameters include electrical conductivity, relative dielectric constant, density, thermal conductivity, and constant-pressure heat capacity.

[0037] Specifically, when constructing the initial simulation model of the target cable, the model can be built according to the structural information and dimensional parameters of the cable. For example, the structural information, dimensional parameters, operating voltage, material parameters, etc. of the corrugated aluminum sheathed high-voltage cable to be studied may be investigated. Among them, due to gravity and laying, interference contact may occur at the bottom of the actual cable. Therefore, the dimensional parameters that need to be investigated include: the outer diameter of the cable core, the thickness of the conductor shielding layer, the main insulation thickness, the thickness of the insulating shielding layer, the thickness of the buffer layer, the nominal thickness of the corrugated aluminum sheath, the pitch, the corrugation depth and the average radius of the crest, the nominal thickness and the average radius of the outer sheath. The operating voltage of the corrugated aluminum sheathed high-voltage cable is the actual operating voltage of the cable to be studied. After determining the structural information and dimensional parameters, the material parameters, such as conductivity, relative dielectric constant, density, thermal conductivity, constant-pressure heat capacity and other parameters, may also be determined, thereby constructing an initial simulation model of the target cable under normal conditions in the simulation software.

[0038] For example, the target cable may be a 110 kV corrugated aluminum sheathed cable, and its specific size parameters may be as shown in Table 1:

[0039] Table 1

[0040]

[0041]

[0042] It should be noted that the fault to be simulated can be a ablation fault. After obtaining the initial simulation model, since it is necessary to simulate the state of the target cable when a ablation fault occurs, it is necessary to determine the fault location where the ablation fault occurs, and then perform further simulation operations at the fault location according to the phenomenon of the ablation fault, so as to simulate the ablation fault state on the initial simulation model.

[0043] This embodiment builds an initial simulation model of the target cable according to the parameters of the cable, thereby ensuring the accuracy of simulating the cable fault state.

[0044] Step S102: construct a first simulation model at the fault location to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the target cable to have the fault to be simulated.

[0045] Specifically, after determining the fault location, the main manifestation of the ablation fault is the appearance of white matter at the close contact between the aluminum sheath trough of the corrugated aluminum sheath and the buffer layer, and the appearance of ablation holes on the surface of the buffer zone, and corrosion marks on the inner surface of the aluminum sheath. In addition, the local heating phenomenon caused by current concentration is an important factor in the destruction of the buffer layer. The main reason for the current concentration is that the white particles produced by electrochemical corrosion cover the contact part between the buffer layer and the corrugated aluminum sheath, hindering the good electrical channel between the buffer layer and the corrugated aluminum sheath, thereby causing excessive local current density and drastic temperature rise. Therefore, in the case of simulating ablation faults, it is necessary to create a geometric entity of white particle defects to simulate the high-resistance white particles generated by moisture during the ablation process of the buffer layer, that is, to construct a simulation model of the fault object (white particles), thereby completing the construction operation of the simulation model of the target cable under the ablation fault state and obtaining a candidate simulation model.

[0046] Step S103, constructing a finite element simulation model of the physical field where the target cable is located, and adding the candidate simulation model to the finite element simulation model to obtain a target simulation model.

[0047] Specifically, after obtaining the candidate simulation model, that is, obtaining the structural model of the target cable under the fault state, it is also necessary to simulate the environmental information of the target cable under the fault state. Therefore, a finite element simulation model of the physical field in which the target cable is located during operation can be constructed, and the candidate simulation model can be added to the finite element simulation model to obtain a complete target simulation model, and then the operating state of the target cable under ablation fault can be simulated according to the target simulation model.

[0048] Optionally, in the fault impact range prediction method provided in an embodiment of the present application, a finite element simulation model of the physical field in which the target cable is located is constructed, and a candidate simulation model is added to the finite element simulation model to obtain the target simulation model, including: determining the temperature field parameters and electromagnetic field parameters of the target cable under normal operating conditions, and constructing a finite element simulation model based on the temperature field parameters and electromagnetic field parameters; adding the candidate simulation model to the finite element simulation model, and determining the boundary conditions of the target cable; adding the boundary conditions to the candidate simulation model to obtain the target simulation model.

[0049] Specifically, when generating a finite element simulation model of the physical field in which the target cable is located, it is first necessary to determine the parameters of the physical field, wherein the physical field parameters may include temperature field parameters and electromagnetic field parameters. When constructing a finite element simulation model according to the temperature field parameters and the electromagnetic field parameters, the electromagnetic-thermal multi-physical field finite element simulation three-dimensional model may be expressed according to the following formula:

[0050]

[0051]

[0052] Where ρ is the medium density, C p is the constant pressure heat capacity of the medium, u is the velocity vector, T represents the temperature, is the temperature gradient, k is the thermal conductivity, Q e Indicates the heat source, Q rh is Joule heat, Re represents the real part, J is the current density, E is the electric field intensity, E * is the conjugate of the electric field strength.

[0053] After obtaining the finite element simulation three-dimensional model of the physical field, the candidate simulation model can be added to the model of the physical field, and the boundary conditions can be further set: the cable core part is set to "terminal", the terminal type is voltage, the geometric entity corresponding to the corrugated aluminum sheath is set to "ground", the geometric entity corresponding to the outer sheath is set to "heat flux" and "surface to ambient radiation", and the heat transfer coefficient, ambient temperature and surface emissivity are set.

[0054] It should be noted that after determining the boundary conditions of the target cable, it is also necessary to set the meshing parameters for the candidate simulation model located in the physical field model for meshing: the saddle-shaped domain produced by the close contact between the aluminum sheath and the buffer layer is relatively narrow, so the boundary of this area is divided first, and then an "ultra-fine mesh" is constructed; for white particle geometric entities, all "ultra-fine meshes" are constructed, and for the remaining geometric entities, "relatively fine meshes" are constructed, so that the mesh can well represent the shape of the geometric entity, while improving the accuracy of the simulation calculation.

[0055] This embodiment improves the accuracy of fault simulation by setting the physical field and boundary conditions of the cable.

[0056] Step S104, inputting the operating parameters of the target cable into the target simulation model, running the target simulation model, and detecting changes in various physical quantities in the physical field, and determining the fault impact range of the fault to be simulated according to the changes.

[0057] Specifically, after obtaining the target simulation model, the operating parameters, such as voltage, current and other parameters, can be input into the target simulation model according to the actual operating parameters of the target cable, so that the target simulation model can simulate the actual operating conditions of the target cable. Then, when the cable in the target simulation model is running, the influence range of the ablation fault on the target cable and the changes in the influence range can be determined by detecting the changes in various physical quantities in the physical field, thereby achieving the effect of improving the accuracy and efficiency of fault analysis.

[0058] For example, based on the changes in various physical quantities in the physical field, the distribution of physical quantities such as current density, electric field strength, and temperature inside the cable can be calculated.

[0059] Furthermore, the dimensions (length, height, rotation angle, etc.) of the constructed geometric model of white particle defects are expressed as parameters, and then parametric scanning is performed on it to study the influence of the development of white particles on the electric field and temperature field during the ablation process. Figure 2 is a schematic diagram of the change of temperature with the size of white particles according to the embodiment of the present application, such as Figure 2 As shown, as the coverage area of ​​the white particles (white powder) increases, the temperature rise becomes more and more intense, which can characterize the impact of the faulty white particles on the fault range, and then the fault coverage range can be reversely determined based on the temperature change.

[0060] The prediction method of the fault impact range provided by the embodiment of the present application is to construct an initial simulation model of the target cable and determine the fault position of the fault to be simulated on the target cable; construct a first simulation model at the fault position to obtain a candidate simulation model, wherein the first simulation model is a simulation model of the fault object that causes the fault to be simulated in the target cable; construct a finite element simulation model of the physical field where the target cable is located, and add the candidate simulation model to the finite element simulation model to obtain the target simulation model; input the operating parameters of the target cable into the target simulation model, run the target simulation model, and detect the changes of various physical quantities in the physical field, and determine the fault impact range of the fault to be simulated according to the changes. The problem of high risk and low accuracy in analyzing the fault impact range when the cable is in a fault state in the related art is solved. By using a method combining finite element simulation with fault object modeling, the initial simulation model of the target cable is first constructed, and the simulation model of the fault object is constructed at the fault position of the target cable, which is integrated into the finite element simulation model of the physical field where the target cable is located to form a complete target simulation model. By inputting the operating parameters of the target cable and running the simulation model, the changes of various physical quantities in the physical field can be monitored in real time, so as to accurately determine the fault impact range of the fault to be simulated, thereby achieving the effect of improving the accuracy and efficiency of fault analysis.

[0061] Optionally, in the method for predicting the fault impact range provided in an embodiment of the present application, constructing a first simulation model at the fault location to obtain a candidate simulation model includes: determining the number and arrangement of the first simulation models in the initial simulation model according to the fault to be simulated; determining the construction position of at least one first simulation model in the candidate simulation model according to the number and arrangement; and constructing the first simulation model in the initial simulation model according to the construction position to obtain the candidate simulation model.

[0062] Specifically, when constructing the first simulation model, it is first necessary to determine the number and arrangement of the first simulation models in the initial simulation model. That is, since the simulation object of the first simulation model is the white particles in the target cable, when constructing the first simulation model, it is necessary to determine the number of first simulation models and determine how to arrange multiple first simulation models, that is, their positions in the target cable.

[0063] After the construction position of each first simulation model is determined, the first simulation model can be constructed at each construction position, thereby completing the operation of modeling the fault object in the initial simulation model of the target cable.

[0064] This embodiment achieves the technical effect of improving simulation accuracy by setting the number and arrangement of the first simulation models.

[0065] Optionally, in the method for predicting the fault impact range provided in an embodiment of the present application, a first simulation model is constructed in the initial simulation model according to the construction position, and obtaining the candidate simulation model includes: creating a cylindrical simulation model along the radial direction of the target cable according to a first preset size at each construction position, wherein the axis of the cylindrical simulation model passes through the trough of the tight contact portion between the corrugated aluminum sheath and the buffer layer in the target cable, and the center of the bottom surface of the cylindrical simulation model is located on the outer diameter of the buffer layer; performing an intersection operation on the model area of ​​the cylindrical simulation model and the model area of ​​the buffer layer to obtain a first intersection model area; performing a difference operation on the first intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a first difference model area; determining the model in the first difference model area as the first simulation model, and determining the initial simulation model containing the first simulation model as the candidate simulation model.

[0066] Specifically, the simulation object may be a cylindrical white particle. Figure 3 is a schematic diagram of cylindrical white particles provided in an embodiment of the present application, such as Figure 3 As shown, when generating the first simulation model corresponding to the cylindrical white particles, a cylindrical simulation model can be created at each construction position along the radial direction of the target cable according to the first preset size, wherein the first preset size may include the radius and height of the cylinder. After the cylindrical simulation model is created, since the white particles in the actual ablation fault are embedded in the buffer layer, when modeling, it is necessary to perform an intersection operation on the model area of ​​the cylindrical simulation model and the model area of ​​the buffer layer, so as to obtain a first intersection model area with a high similarity to the white particles in the actual fault, and the model in this area is more accurate. Furthermore, since the white particles are attached to the surface of the aluminum sheath, it is also necessary to perform a difference operation on the first intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a first difference model area, so as to determine the model in the first difference model area as the first simulation model, and obtain a more accurate simulation model of the cylindrical white particles.

[0067] For example, the steps for constructing the columnar white powder geometric entity are as follows: Step 1) Create a small-sized cylinder along the radial direction with a radius of 2 mm and a height of 2 mm, whose axis passes through the trough of the close contact part and the center of its bottom surface is located on the outer diameter of the buffer layer; Step 2) Since the white powder in the actual ablation failure is embedded in the buffer layer, the cylinder in step 1) is intersected with the geometric entity corresponding to the buffer layer, and the geometric entity is output; Step 3) Since the white powder is attached to the surface of the aluminum sheath, the geometric entity in step 2) is also required to be subtracted from the geometric entity corresponding to the wrinkled aluminum sheath, and the geometric entity is output.

[0068] This embodiment achieves the technical effect of improving simulation accuracy by constructing a simulation model of cylindrical particles.

[0069] Optionally, in the method for predicting the fault impact range provided in an embodiment of the present application, a first simulation model is constructed in the initial simulation model according to the construction position, and obtaining a candidate simulation model includes: creating a rectangle on the outer diameter edge of the buffer layer along the longitudinal section of the target cable according to a second preset size at each construction position, and the geometric center of the rectangle is located on the trough of the corrugated aluminum sheath; extending the rectangle along the curvature direction of the target cable to obtain a strip-type simulation model; performing an intersection operation on the model area of ​​the strip-type simulation model and the model area of ​​the buffer layer to obtain a second intersection model area; performing a difference operation on the second intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a second difference model area; determining the model in the second difference model area as the first simulation model, and determining the initial simulation model containing the first simulation model as the candidate simulation model.

[0070] Specifically, the simulation object may also be a strip of white particles. Figure 4 is a schematic diagram of strip-shaped white particles provided according to an embodiment of the present application, such as Figure 4 As shown, when generating the first simulation model corresponding to the strip-shaped white particles, a rectangle can be created on the outer diameter edge of the buffer layer along the longitudinal section of the target cable according to the second preset size at each construction position, wherein the second preset size may include the length and width of the rectangle. After creating the rectangle, it is necessary to extend the rectangle along the curvature direction of the target cable to obtain a strip-shaped simulation model, such as Figure 4 As shown, further, since the white particles in the actual ablation fault are embedded in the buffer layer, therefore, when modeling, it is necessary to perform an intersection operation on the model area of ​​the strip-type simulation model and the model area of ​​the buffer layer, so as to obtain a second intersection model area with a high similarity to the white particles in the actual fault, and the model in this area is more accurate. Further, since the white particles are attached to the surface of the aluminum sheath, it is also necessary to perform a difference operation on the second intersection model area and the model area of ​​the wrinkled aluminum sheath to obtain a second difference model area, so as to determine the model in the second difference model area as the first simulation model, and obtain a more accurate simulation model of the strip-type white particles.

[0071] For example, the steps for constructing strip-shaped white powder are as follows: Step 1) Create a working plane along the longitudinal section of the cable, and create a rectangle on the outer diameter edge of the buffer layer, whose geometric center is located on the trough of the corrugated aluminum sheath, and the size is 1mm*2mm; Step 2) Use the "rotate" operation on the geometric plane in step 1) along the cable axis, and output the geometric entity; Step 3) Intersect the cylinder in step 2) with the geometric entity corresponding to the buffer layer, and output the geometric entity; Step 4) Perform a difference operation on the geometric entity in step 3) and the geometric entity corresponding to the corrugated aluminum sheath, and output the geometric entity.

[0072] It should be noted that after obtaining the first simulation model, it is also necessary to set the simulation parameters of the white particles according to the real characteristic parameters of the white particles, so as to ensure the accuracy of the simulation model of the white particles.

[0073] This embodiment achieves the technical effect of improving simulation accuracy by constructing a simulation model of strip-shaped particles.

[0074] Optionally, in the fault impact range prediction method provided in the embodiment of the present application, the changes of various physical quantities in the physical field are detected, and the fault impact range of the fault to be simulated is determined according to the changes, including: obtaining electrical parameters and temperature parameters of each sampling point of the target cable according to a preset sampling period, and obtaining multiple electrical parameter sets and multiple temperature parameter sets; drawing electrical parameter change curves at each sampling point according to each electrical parameter set, and drawing temperature parameter change curves at each sampling point according to each temperature parameter set; determining the fault impact range of the fault to be simulated according to the electrical parameter change curves and the temperature parameter change curves.

[0075] Specifically, after obtaining the target simulation model, the target simulation model can be run to perform data collection and change curve drawing operations. When detecting the changes of various physical quantities in the physical field, the electrical parameters and temperature parameters of each sampling point on the target cable can be obtained according to the preset sampling period. These parameters include but are not limited to electrical characteristics such as voltage and current, as well as the temperature state of the cable. Through continuous and periodic sampling, a large amount of data can be obtained, which are organized into multiple electrical parameter sets and temperature parameter sets. Furthermore, based on these parameter sets, electrical parameter change curves and temperature parameter change curves at each sampling point can be drawn. These graphs not only intuitively show the changing trend of physical quantities over time, but also provide a solid foundation for subsequent analysis.

[0076] After obtaining the electrical parameter change curve and the temperature parameter change curve, the fault impact range of the fault to be simulated can be determined based on these curves. When determining the fault impact range, it is possible to determine whether there are abnormal points or abnormal areas in the curves of each sampling point. These abnormalities are usually manifested as sudden changes in electrical parameters, abnormal increases or decreases in temperature parameters, etc. In the case of abnormal points or abnormal areas, the location where the fault may occur and its impact range can be preliminarily determined by analyzing these abnormal points, combined with the physical layout, electrical characteristics and possible fault modes of the cable, thereby achieving the technical effect of accurately determining the fault impact range.

[0077] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0078] The embodiment of the present application also provides a prediction device for a fault impact range. It should be noted that the prediction device for the fault impact range of the embodiment of the present application can be used to execute the prediction method for the fault impact range provided in the embodiment of the present application. The following introduces the prediction device for the fault impact range provided in the embodiment of the present application.

[0079] Figure 5 Schematic diagram of a device for predicting the impact range of a fault according to an embodiment of the present application. Figure 5 As shown, the device includes: a first constructing unit 51, a second constructing unit 52, an adding unit 53, and a determining unit 54.

[0080] The first constructing unit 51 is used to construct an initial simulation model of a target cable and determine a fault location of a fault to be simulated on the target cable.

[0081] The second construction unit 52 is used to construct a first simulation model at the fault location to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the target cable to have the fault to be simulated.

[0082] The adding unit 53 is used to construct a finite element simulation model of the physical field where the target cable is located, and add the candidate simulation model to the finite element simulation model to obtain the target simulation model.

[0083] The determination unit 54 is used to input the operating parameters of the target cable into the target simulation model, run the target simulation model, detect the changes of various physical quantities in the physical field, and determine the fault impact range of the fault to be simulated according to the changes.

[0084] The prediction device for the fault impact range provided in the embodiment of the present application, constructs an initial simulation model of the target cable through a first construction unit 51, and determines the fault position of the fault to be simulated on the target cable; the second construction unit 52 constructs a first simulation model at the fault position to obtain a candidate simulation model, wherein the first simulation model is a simulation model of the fault object that causes the fault to be simulated in the target cable; the adding unit 53 constructs a finite element simulation model of the physical field where the target cable is located, and adds the candidate simulation model to the finite element simulation model to obtain the target simulation model; the determining unit 54 inputs the operating parameters of the target cable into the target simulation model, runs the target simulation model, and detects the changes of various physical quantities in the physical field, and determines the fault impact range of the fault to be simulated according to the changes. The problem of high risk and low accuracy in analyzing the fault impact range when the cable is in a fault state in the related art is solved. By using a method combining finite element simulation with fault object modeling, the initial simulation model of the target cable is first constructed, and the simulation model of the fault object is constructed at the fault position of the target cable, which is integrated into the finite element simulation model of the physical field where the target cable is located to form a complete target simulation model. By inputting the operating parameters of the target cable and running the simulation model, the changes of various physical quantities in the physical field can be monitored in real time, so as to accurately determine the fault impact range of the fault to be simulated, thereby achieving the effect of improving the accuracy and efficiency of fault analysis.

[0085] Optionally, in the fault impact range prediction device provided in the embodiment of the present application, the first construction unit 51 includes: a first determination module, used to determine the structural information, dimensional parameters and material parameters of the target cable, and build a three-dimensional geometric model of the target cable according to the structural information and dimensional parameters to obtain an initial simulation model, wherein the structural information includes: the structural layers of the target cable, and the arrangement order between each structural layer, the dimensional parameters include the thickness and radius of each structural layer, and the material parameters include electrical conductivity, relative dielectric constant, density, thermal conductivity, and constant-pressure heat capacity.

[0086] Optionally, in the fault impact range prediction device provided in the embodiment of the present application, the second construction unit 52 includes: a second determination module, used to determine the number and arrangement of first simulation models in the initial simulation model according to the fault to be simulated; a third determination module, used to determine the construction position of at least one first simulation model in the candidate simulation model according to the number and arrangement; a construction module, used to construct the first simulation model in the initial simulation model according to the construction position to obtain a candidate simulation model.

[0087] Optionally, in the fault impact range prediction device provided in the embodiment of the present application, the construction module includes: a first creation submodule, used to create a cylindrical simulation model along the radial direction of the target cable according to a first preset size at each construction position, wherein the axis of the cylindrical simulation model passes through the trough of the tight contact part between the corrugated aluminum sheath and the buffer layer in the target cable, and the center of the bottom surface of the cylindrical simulation model is located on the outer diameter of the buffer layer; a first processing submodule, used to perform an intersection operation on the model area of ​​the cylindrical simulation model and the model area of ​​the buffer layer to obtain a first intersection model area; a second processing submodule, used to perform a difference operation on the first intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a first difference model area; a first determination submodule, used to determine the model in the first difference model area as the first simulation model, and determine the initial simulation model containing the first simulation model as the candidate simulation model.

[0088] Optionally, in the prediction device for the fault impact range provided in the embodiment of the present application, the construction module includes: a second creation submodule, used to create a rectangle on the outer diameter edge of the buffer layer along the longitudinal section of the target cable according to a second preset size at each construction position, and the geometric center of the rectangle is located on the trough of the corrugated aluminum sheath; an extension submodule, used to extend the rectangle along the arc direction of the target cable to obtain a strip-type simulation model; a third processing submodule, used to perform an intersection operation on the model area of ​​the strip-type simulation model and the model area of ​​the buffer layer to obtain a second intersection model area; a fourth processing submodule, used to perform a difference operation on the second intersection model area and the model area of ​​the corrugated aluminum sheath to obtain a second difference model area; a second determination submodule, used to determine the model in the second difference model area as the first simulation model, and determine the initial simulation model containing the first simulation model as the candidate simulation model.

[0089] Optionally, in the fault impact range prediction device provided in the embodiment of the present application, the adding unit 53 includes: a fourth determination module, used to determine the temperature field parameters and electromagnetic field parameters of the target cable under normal operating conditions, and construct a finite element simulation model based on the temperature field parameters and the electromagnetic field parameters; a fifth determination module, used to add the candidate simulation model to the finite element simulation model and determine the boundary conditions of the target cable; an adding module, used to add the boundary conditions to the candidate simulation model to obtain the target simulation model.

[0090] Optionally, in the fault impact range prediction device provided in the embodiment of the present application, the determination unit 54 includes: an acquisition module, used to acquire the electrical parameters and temperature parameters of each sampling point of the target cable according to a preset sampling period, and obtain multiple electrical parameter sets and multiple temperature parameter sets; a drawing module, used to draw the electrical parameter change curve at each sampling point according to each electrical parameter set, and draw the temperature parameter change curve at each sampling point according to each temperature parameter set; a sixth determination module, used to determine the fault impact range of the fault to be simulated based on the electrical parameter change curve and the temperature parameter change curve.

[0091] The above-mentioned fault impact range prediction device includes a processor and a memory. The above-mentioned first construction unit 51, second construction unit 52, adding unit 53, determination unit 54, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0092] The processor includes a kernel, and the kernel calls the corresponding program unit from the memory. One or more kernels can be set, and the problem of high risk and low accuracy in analyzing the impact range of the fault when the cable is in a fault state in the related art is solved by adjusting the kernel parameters.

[0093] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0094] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the method for predicting the fault impact range is implemented.

[0095] An embodiment of the present invention provides a processor, which is used to run a program, wherein the method for predicting the fault impact range is executed when the program is running.

[0096] Figure 6 is a schematic diagram of an electronic device provided according to an embodiment of the present application, such as Figure 6 As shown, an embodiment of the present invention provides an electronic device, the electronic device 60 includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned method for predicting the scope of fault impact when executing the program. The device in this article can be a server, a PC, a PAD, a mobile phone, etc.

[0097] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing the steps of initializing the prediction method of the above-mentioned fault impact range.

[0098] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0099] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0100] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0101] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0102] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0103] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0104] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0105] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0106] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for predicting the impact range of a fault, characterized in that: include: Constructing an initial simulation model of a target cable and determining a fault location of a fault to be simulated on the target cable; Constructing a first simulation model at the fault location to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the target cable to have the fault to be simulated; Constructing a finite element simulation model of the physical field where the target cable is located, and adding the candidate simulation model to the finite element simulation model to obtain a target simulation model; The operating parameters of the target cable are input into the target simulation model, the target simulation model is run, and changes in various physical quantities in the physical field are detected, and the fault impact range of the fault to be simulated is determined according to the changes.

2. The method according to claim 1, characterized in that Building an initial simulation model of the target cable includes: Determine the structural information, dimensional parameters and material parameters for constructing the target cable, and build a three-dimensional geometric model of the target cable according to the structural information and the dimensional parameters to obtain the initial simulation model, wherein the structural information includes: constructing the structural layers of the target cable, and the arrangement order between the various structural layers, the dimensional parameters include the thickness and radius of each structural layer, and the material parameters include electrical conductivity, relative dielectric constant, density, thermal conductivity, and constant-pressure heat capacity.

3. The method according to claim 1, characterized in that: Constructing a first simulation model at the fault location, obtaining a candidate simulation model includes: It is necessary to determine the number and arrangement of the first simulation models in the initial simulation model according to the fault to be simulated; Determine a construction position of at least one first simulation model in the candidate simulation model according to the quantity and the arrangement; The first simulation model is constructed in the initial simulation model according to the construction position to obtain the candidate simulation model.

4. The method according to claim 3, characterized in that Constructing the first simulation model in the initial simulation model according to the construction position, and obtaining the candidate simulation model comprises: Creating a cylindrical simulation model along the radial direction of the target cable at each construction position according to a first preset size, wherein the axis of the cylindrical simulation model passes through the trough of the tightly contacting portion between the corrugated aluminum sheath and the buffer layer in the target cable, and the center of the bottom surface of the cylindrical simulation model is located on the outer diameter of the buffer layer; Performing an intersection operation on the model region of the cylindrical simulation model and the model region of the buffer layer to obtain a first intersection model region; Performing a difference operation on the first intersection model region and the model region of the corrugated aluminum sheath to obtain a first difference model region; The model in the first difference model region is determined as the first simulation model, and the initial simulation model including the first simulation model is determined as the candidate simulation model.

5. The method according to claim 3, characterized in that: Constructing the first simulation model in the initial simulation model according to the construction position, and obtaining the candidate simulation model comprises: At each construction position, a rectangle is created on the outer diameter edge of the buffer layer along the longitudinal section of the target cable according to a second preset size, wherein the geometric center of the rectangle is located on the trough of the corrugated aluminum jacket; Extending the rectangle along the curvature direction of the target cable to obtain a strip-type simulation model; Performing an intersection operation on the model region of the strip-type simulation model and the model region of the buffer layer to obtain a second intersection model region; Performing a difference operation on the second intersection model region and the model region of the corrugated aluminum sheath to obtain a second difference model region; The model in the second difference model region is determined as the first simulation model, and the initial simulation model including the first simulation model is determined as the candidate simulation model.

6. The method according to claim 1, characterized in that Constructing a finite element simulation model of the physical field in which the target cable is located, and adding the candidate simulation model to the finite element simulation model to obtain the target simulation model includes: Determining temperature field parameters and electromagnetic field parameters of the target cable under normal operating conditions, and constructing the finite element simulation model according to the temperature field parameters and electromagnetic field parameters; Adding the candidate simulation model to the finite element simulation model and determining the boundary conditions of the target cable; The boundary conditions are added to the candidate simulation model to obtain the target simulation model.

7. The method according to claim 1, characterized in that Detecting changes in various physical quantities in the physical field, and determining the fault impact range of the fault to be simulated according to the changes includes: Acquire electrical parameters and temperature parameters at various sampling points of the target cable according to a preset sampling period to obtain multiple electrical parameter sets and multiple temperature parameter sets; Draw the electrical parameter change curve at each sampling point according to each electrical parameter set, and draw the temperature parameter change curve at each sampling point according to each temperature parameter set; The fault impact range of the fault to be simulated is determined according to the electrical parameter change curve and the temperature parameter change curve.

8. A device for predicting the impact range of a fault, characterized in that: include: A first construction unit is used to construct an initial simulation model of a target cable and determine a fault location of a fault to be simulated on the target cable; A second construction unit is used to construct a first simulation model at the fault location to obtain a candidate simulation model, wherein the first simulation model is a simulation model of a fault object that causes the target cable to have the fault to be simulated; An adding unit is used to construct a finite element simulation model of the physical field where the target cable is located, and add the candidate simulation model to the finite element simulation model to obtain a target simulation model; A determination unit is used to input the operating parameters of the target cable into the target simulation model, run the target simulation model, and detect changes in various physical quantities in the physical field, and determine the fault impact range of the fault to be simulated according to the changes.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is run, the device where the computer-readable storage medium is located is controlled to execute the method for predicting the fault impact range according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program, when running, executes the method for predicting the fault impact range described in any one of claims 1 to 7.

Images