High-voltage cable fault detection method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a high-voltage cable fault detection method, computer equipment, a readable storage medium and a program product, which are applied to the technical field of big data, and the method comprises the following steps: obtaining electrical parameters of a target high-voltage cable, and detecting broadband disturbance suffered by the target high-voltage cable according to the electrical parameters to obtain broadband detection data; according to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information; and performing fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result. By adopting the method, the fault detection accuracy of the high-voltage cable can be improved.

Description

Technical Field

[0001] The present application relates to the field of big data technology, and in particular to a high-voltage cable fault detection method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] Due to the limited resources of urban corridors, it is no longer appropriate to erect traditional overhead transmission lines. Therefore, in the construction and expansion of urban power grids in my country, high-voltage cables have become the main mode of power transmission. However, the structure of the high-voltage cable system is relatively complex. Once a failure occurs, its maintenance cycle is long, which may lead to long-term power load loss, thus significantly affecting the power supply reliability of the power grid. Therefore, there is an urgent need for a method to accurately detect high-voltage cable faults.

[0003] At present, a method usually adopted to detect the appearance of high-voltage cables is to detect whether there are faults in the high-voltage cables. Specifically, by detecting whether the insulation of the high-voltage cables is damp, aged, damaged by external forces, etc., it is detected whether there are faults in the high-voltage cables. However, such detection is relatively limited and cannot detect faults of the high-voltage cables caused by other non-appearance factors such as internal inducements, resulting in poor accuracy in high-voltage cable fault detection. Summary of the invention

[0004] Based on this, it is necessary to provide a high-voltage cable fault detection method, device, computer equipment, computer-readable storage medium and computer program product that can improve the accuracy of high-voltage cable fault detection in response to the above technical problems.

[0005] In a first aspect, the present application provides a high-voltage cable fault detection method, comprising:

[0006] Acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable based on the electrical parameters to obtain broadband detection data;

[0007] According to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information;

[0008] According to the predicted electromagnetic field distribution information, fault detection is performed on the target high-voltage cable to obtain a fault detection result.

[0009] In a second aspect, the present application also provides a high-voltage cable fault detection device, comprising:

[0010] An acquisition module, used for acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable according to the electrical parameters to obtain broadband detection data;

[0011] A prediction module, used to predict the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the broadband detection data, and obtain predicted electromagnetic field distribution information;

[0012] The detection module is used to perform fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result.

[0013] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0014] Acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable based on the electrical parameters to obtain broadband detection data;

[0015] According to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information;

[0016] According to the predicted electromagnetic field distribution information, fault detection is performed on the target high-voltage cable to obtain a fault detection result.

[0017] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0018] Acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable based on the electrical parameters to obtain broadband detection data;

[0019] According to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information;

[0020] According to the predicted electromagnetic field distribution information, fault detection is performed on the target high-voltage cable to obtain a fault detection result.

[0021] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0022] Acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable based on the electrical parameters to obtain broadband detection data;

[0023] According to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information;

[0024] According to the predicted electromagnetic field distribution information, fault detection is performed on the target high-voltage cable to obtain a fault detection result.

[0025] The above-mentioned high-voltage cable fault detection method, device, computer equipment, computer-readable storage medium and computer program product obtain the electrical parameters of the target high-voltage cable, and detect the broadband disturbance to the target high-voltage cable according to the electrical parameters to obtain broadband detection data; predict the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the broadband detection data to obtain predicted electromagnetic field distribution information; perform fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result. In this way, the broadband disturbance to the target high-voltage cable can be quantified by analyzing the electrical parameters of the target high-voltage cable, and then the electromagnetic field distribution of the target high-voltage cable after the broadband disturbance can be predicted, so that the fault of the target high-voltage cable can be detected based on the predicted electromagnetic field distribution information, so that the fault of the high-voltage cable under the influence of the internal inducement of broadband disturbance can be detected, so as to improve the accuracy of fault detection of the high-voltage cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 A diagram showing an application environment of a high-voltage cable fault detection method in an embodiment;

[0028] Figure 2 A schematic diagram of a flow chart of a high-voltage cable fault detection method in one embodiment;

[0029] Figure 3 A schematic diagram of a process for predicting the electromagnetic field distribution of a target high-voltage cable under broadband disturbance according to broadband detection data to obtain predicted electromagnetic field distribution information in an embodiment;

[0030] Figure 4 It is a structural schematic diagram of meshing the connector conductor core of an AC high voltage cable in one embodiment;

[0031] Figure 5 is a schematic diagram of a process of simulating a target high-voltage cable in one embodiment;

[0032] Figure 6is a structural block diagram of a high-voltage cable fault detection device in one embodiment;

[0033] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0035] It should be noted that the information and data involved in this application (including but not limited to data for analysis, data for storage, data for display, etc.) are all information and data authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use and processing of relevant data are in compliance with the relevant provisions of national laws and regulations. The content pushed to users (for example, fault detection results, electrical parameters, broadband detection data, cable simulation models, grid segmentation models, broadband disturbance simulation models, predicted electromagnetic field distribution information, etc.) can be rejected by users or can be easily rejected. In the embodiments of the present application, some existing solutions in the industry such as certain software, components, models, etc. may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of the implementation of the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0036] It is understandable that with the continuous development of the power industry, new energy production facilities such as wind farms and power electronic equipment are increasingly commonly used in power systems, and new energy production facilities such as wind farms and power electronic equipment are prone to generate broadband disturbances, which in turn affect the high-voltage cables in the power system, causing the high-voltage cables to fail. At present, there are relatively few studies on the specific impact of broadband disturbances on the electromagnetic field distribution of high-voltage cables. Therefore, there is an urgent need for a fault detection method for high-voltage cables affected by broadband disturbances.

[0037] The high voltage cable fault detection method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the data acquisition component 102 and the terminal 104 communicate with the server 106 respectively, the data acquisition component 102 is deployed on the target high-voltage cable, and the data acquisition component 102 is used to collect the electrical parameters of the target high-voltage cable. The data storage system can store the data that the server 106 needs to process. The data storage system can be integrated on the server 106, or it can be placed on the cloud or other network servers. The electrical parameters of the key node target high-voltage cable collected by the data acquisition component 102 are obtained through the server 106, and the broadband disturbance of the target high-voltage cable is detected according to the electrical parameters to obtain broadband detection data; according to the broadband detection data, the electromagnetic field distribution of the target high-voltage cable under broadband disturbance is predicted to obtain predicted electromagnetic field distribution information; according to the predicted electromagnetic field distribution information, the target high-voltage cable is fault-detected to obtain a fault detection result. The server 106 can push at least one of the fault detection result, electrical parameters, broadband detection data, cable simulation model, mesh generation model, broadband disturbance simulation model and predicted electromagnetic field distribution information to the terminal 104. The terminal 104 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 106 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0038] In an exemplary embodiment, Figure 2 As shown, a high voltage cable fault detection method is provided, which is applied to Figure 1 The server 106 in the example is used as an example, and the description is made in the form of omitting the main body, including the following steps 202 to 206. Among them:

[0039] Step 202 , obtaining electrical parameters of the target high-voltage cable, and detecting the broadband disturbance suffered by the target high-voltage cable according to the electrical parameters to obtain broadband detection data.

[0040] The target high-voltage cable in step 202 is a high-voltage cable selected for fault detection. The target high-voltage cable can be an AC high-voltage cable, a DC high-voltage cable, or other cables that are significantly affected by broadband disturbances, and is not limited here. The power parameter includes at least one of a voltage parameter, a current parameter, and an impedance parameter.

[0041] As an embodiment, obtaining electrical parameters of a target high-voltage cable includes: obtaining electrical parameters of the target high-voltage cable collected by a data collection component.

[0042] The data acquisition component includes at least one of a current sensor, a voltage sensor and an impedance analyzer.

[0043] As an embodiment, the broadband disturbance experienced by the target high-voltage cable is detected according to electrical parameters to obtain broadband detection data, including: identifying the electrical distribution conditions corresponding to the electrical parameters to obtain electrical distribution characteristics, wherein the electrical distribution characteristics include current waveform characteristics, voltage waveform characteristics and impedance change characteristics; performing spectral analysis on the electrical parameters to obtain spectral parameters; and detecting the broadband disturbance experienced by the target high-voltage cable according to the electrical distribution characteristics and spectral parameters to obtain broadband detection data.

[0044] Furthermore, based on the electrical distribution characteristics and the spectrum parameters, the broadband disturbance experienced by the target high-voltage cable is detected to obtain broadband detection data, including: if at least one of the electrical distribution characteristics and the spectrum parameters characterizes the existence of broadband components in the electrical parameters, then based on the electrical distribution characteristics and the spectrum parameters, feature extraction is performed on the broadband disturbance experienced by the target high-voltage cable to obtain broadband feature data, and the broadband feature data is determined as broadband detection data; if both the electrical distribution characteristics and the spectrum parameters characterize the absence of broadband components in the electrical parameters, then the step of obtaining the electrical parameters of the target high-voltage cable is returned.

[0045] In this way, it is ensured that the next step of electromagnetic field distribution condition prediction is performed only when the target high-voltage cable is subjected to broadband disturbance, thereby avoiding unnecessary fault detection process.

[0046] As an embodiment, the above method also includes at least one of the following items: if the current waveform characteristics represent abnormal fluctuations in the current waveform, then it is determined that the current waveform characteristics represent the existence of wide-band components in the electrical parameters; if the voltage waveform characteristics represent abnormal fluctuations in the voltage waveform, then it is determined that the voltage waveform characteristics represent the existence of wide-band components in the electrical parameters; if the impedance change characteristics represent abnormal sudden changes in impedance, then it is determined that the impedance change characteristics represent the existence of wide-band components in the electrical parameters; if the spectrum parameters represent a continuous wide band without obvious peaks, then it is determined that the spectrum parameters represent the existence of wide-band components in the electrical parameters.

[0047] The broadband characteristic data includes at least one of broadband frequency characteristic data, broadband amplitude characteristic data, broadband phase characteristic data, broadband spectrum characteristic data and broadband spatiotemporal distribution characteristic data.

[0048] Step 204 , predicting the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the broadband detection data, and obtaining predicted electromagnetic field distribution information.

[0049] Exemplarily, step 204 includes: obtaining a cable simulation model corresponding to the target high-voltage cable, and predicting the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the cable simulation model and broadband detection data to obtain predicted electromagnetic field distribution information.

[0050] As an embodiment, based on the cable simulation model and broadband detection data, the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance is predicted to obtain predicted electromagnetic field distribution information, including: based on the broadband detection data, simulating the application of broadband disturbance to the cable simulation model to obtain predicted electromagnetic field distribution information.

[0051] As another embodiment, based on the cable simulation model and the broadband detection data, the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance is predicted to obtain predicted electromagnetic field distribution information, including: obtaining the simulated electromagnetic field distribution information corresponding to the broadband disturbance corresponding to each preset broadband detection data applied to the cable simulation model, and selecting the target electromagnetic field distribution information whose preset broadband detection data matches the broadband detection data corresponding to the target high-voltage cable from each simulated electromagnetic field distribution information as the predicted electromagnetic field distribution information.

[0052] In this way, two prediction methods are provided, and before fault detection, various degrees of broadband disturbances can be simulated in advance, so that when the target high-voltage cable is subjected to broadband disturbance, the predicted electromagnetic field distribution information can be directly obtained by searching, which can improve the fault detection efficiency of the target high-voltage cable to a certain extent. It is also possible to predict the electromagnetic field distribution of the target high-voltage cable under broadband disturbance every time the target high-voltage cable is detected to be subjected to broadband disturbance, so as to ensure the accuracy of the predicted electromagnetic field distribution information, thereby improving the fault detection accuracy of the target high-voltage cable.

[0053] Step 206: Perform fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result.

[0054] Among them, the fault detection result in step 206 is used to characterize the fault detection status of the target high-voltage cable and at least one of the fault detection types of the target high-voltage cable, the fault detection result includes a result that a cable fault exists or a result that a cable fault does not exist, the fault detection result includes a fault detection type, and the fault detection type includes at least one of a temperature fault type, a voltage fault type, a current fault type and a flux fault type.

[0055] Exemplarily, step 206 includes at least one of the following items: if the predicted temperature of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset temperature condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; if the predicted current density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset current density condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; if the predicted magnetic flux density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset magnetic flux density condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; if the predicted temperature of the target high-voltage cable represented by the predicted electromagnetic field distribution information meets the preset temperature condition, the predicted current density meets the preset current density condition, and the predicted magnetic flux density meets the preset magnetic flux density condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable.

[0056] In the above-mentioned high-voltage cable fault detection method, the broadband disturbance suffered by the target high-voltage cable can be quantified by analyzing the electrical parameters of the target high-voltage cable, and then the electromagnetic field distribution of the target high-voltage cable after the broadband disturbance can be predicted. Therefore, the fault of the target high-voltage cable can be detected based on the predicted electromagnetic field distribution information. Therefore, the fault of the high-voltage cable under the influence of the internal inducement of broadband disturbance can be detected, thereby improving the fault detection accuracy of the high-voltage cable.

[0057] In an exemplary embodiment, Figure 3 As shown, a method for accurately predicting the electromagnetic field distribution of a target high-voltage cable under broadband disturbance is provided. The electromagnetic field distribution of the target high-voltage cable under broadband disturbance is predicted based on broadband detection data, and the predicted electromagnetic field distribution information is obtained, including steps 302 to 306. Among them:

[0058] Step 302, obtaining a cable simulation model corresponding to the target high-voltage cable, and meshing the cable simulation model according to the importance of each model part in the cable simulation model to obtain a meshed model.

[0059] The cable simulation model in step 302 is a pre-simulated model.

[0060] As an embodiment, the cable simulation model is meshed according to the importance of each model part in the cable simulation model to obtain a meshed model, including: for each model part in the cable simulation model, determining the electromagnetic field distribution influence information corresponding to the model part on the target high-voltage cable, and the contact electron degree information corresponding to the model part; evaluating the importance of the model part according to the electromagnetic field distribution influence information and the contact electron degree information to obtain the importance of the model part; determining the mesh size corresponding to the model part according to the importance of the model part; meshing the cable simulation model according to the mesh size corresponding to each model part in the cable simulation model to obtain a meshed model.

[0061] Among them, the higher the electromagnetic field distribution influence degree represented by the electromagnetic field distribution influence information, the higher the importance of generation; the higher the electron contact degree represented by the contact electron degree information, the higher the importance of generation; the higher the importance of the model part, the smaller the corresponding subdivision grid size.

[0062] In this way, for the more important model parts, a smaller mesh is used, that is, the more important model parts are divided more finely, so that after the subsequent application of simulated harmonics, the analysis of the electromagnetic field distribution information of the more important model parts is more accurate. For the less important model parts, a larger mesh is used, that is, the less important model parts are divided more roughly, so that after the subsequent application of simulated harmonics, the analysis process of the electromagnetic field distribution information of the less important model parts is simpler, thereby improving the analysis efficiency. In summary, under the premise of ensuring the accuracy of the prediction of the electromagnetic field distribution status, the prediction efficiency of the electromagnetic field distribution status is improved.

[0063] For example, refer to Figure 4 , the conductor core of the AC high-voltage cable joint is meshed, where the mesh size range is 0.05-0.008, a larger mesh is used to mesh the cable trench air domain outside the AC high-voltage cable joint, and a smaller mesh is used to mesh the remaining geometry of the AC high-voltage cable joint.

[0064] Step 304 , applying simulated harmonics corresponding to the broadband detection data to the gridded model to obtain a broadband disturbance simulation model.

[0065] As an embodiment, step 304 includes: generating simulated harmonics corresponding to the broadband detection data based on broadband frequency characteristic data, broadband amplitude characteristic data, broadband phase characteristic data, broadband spectrum characteristic data and broadband spatiotemporal distribution characteristic data in the broadband detection data; applying the simulated harmonics corresponding to the broadband detection data to the cable joint part in the grid division model to obtain a broadband disturbance simulation model.

[0066] Step 306: determine the electromagnetic field distribution information of the broadband disturbance simulation model, and determine the electromagnetic field distribution information of the broadband disturbance simulation model as the predicted electromagnetic field distribution information.

[0067] As an embodiment, determining the electromagnetic field distribution information of a broadband disturbance simulation model includes: merging the fundamental current and the harmonic current in the broadband disturbance simulation model to obtain a current merging result; determining the electromagnetic field distribution information of the broadband disturbance simulation model based on the current merging result, wherein a method for merging the fundamental current and the harmonic current in the broadband disturbance simulation model may include a merging solution method.

[0068] Furthermore, according to the current merging result, the electromagnetic field distribution information of the broadband disturbance simulation model is determined, including: constructing the electric field characteristics of the broadband disturbance simulation model, and constructing the electromagnetic field characteristics of each point in the broadband disturbance simulation model. According to the electric field characteristics, the electromagnetic field characteristics and the current merging result, the electromagnetic field distribution information of the broadband disturbance simulation model is determined. Specifically, the electric field characteristics can be an electric field equation, and the electromagnetic field characteristics can be an electromagnetic field equation.

[0069] Alternatively, the electric field equation can be expressed as:

[0070]

[0071] in, is the conductivity; is the angular frequency; is the relative dielectric constant; For electric potential.

[0072] Optionally, the electromagnetic field equation can be expressed as:

[0073]

[0074] in, is the material density; is the specific heat capacity of the material; is the thermal conductivity; is the volumetric heat generation rate; is the operating temperature; is the position coordinate of a point on the AC high voltage cable; For time.

[0075] In this embodiment, the pre-simulated cable simulation model is first meshed based on the importance of the model part of the cable simulation model, so that the meshed model obtained by meshing takes into account the necessary prediction workload and prediction accuracy requirements for the subsequent electromagnetic field distribution status prediction, so that the meshed model can characterize the prediction requirements of each model part (including high prediction accuracy requirements, that is, high prediction workload, or low prediction accuracy requirements, that is, low prediction workload), and then perform subsequent electromagnetic field distribution status prediction. Therefore, while ensuring the prediction accuracy requirements for the electromagnetic field distribution status prediction, the prediction efficiency of the electromagnetic field distribution status prediction is improved.

[0076] In an exemplary embodiment, Figure 5 As shown, a method for accurately simulating a target high-voltage cable is provided. Before obtaining the cable simulation model corresponding to the target high-voltage cable, the method further includes steps 402 to 406. Among them:

[0077] Step 402: Acquire cable parameters of a target high-voltage cable, wherein the cable parameters are used to characterize cable characteristics of the target high-voltage cable and environmental characteristics of an environment in which the target high-voltage cable is located.

[0078] The cable parameters in step 402 include cable characteristic parameters and cable environmental parameters, the cable characteristic parameters include at least one of cable geometric parameters and cable material parameters, the cable geometric parameters include at least one of cable structure composition parameters and cable structure geometric parameters, the cable structure composition parameters include at least one of cable core, inner semi-conductive shielding layer, XLPE (Cross-Linked Polyethylene, cross-linked polyethylene) insulation layer, outer semi-conductive shielding layer and metal aluminum sheath, the cable structure geometric parameters include geometric parameters of cable structure composition parameters, and the geometric parameters include at least one of thickness, length, width and bending degree; the cable material parameters include at least one of electrical conductivity and thermal conductivity; the cable environmental parameters include at least one of specific heat capacity, thermal conductivity and thermal diffusivity.

[0079] Exemplarily, step 402 includes: acquiring cable parameters of the target high-voltage cable collected by a data collection component.

[0080] The data acquisition component includes at least one of a measuring instrument (for measuring cable structure geometric parameters), a calorimeter (for measuring specific heat capacity and thermal conductivity), an image recognizer (for identifying cable structure component parameters) and a laser pulse test device (for measuring thermal diffusivity).

[0081] Step 404, determining the physical field condition information of the target high voltage cable.

[0082] Exemplarily, step 404 includes: limiting the magnetic field boundary of the target high-voltage cable to obtain the magnetic field boundary condition, and limiting the external heat dissipation condition of the target high-voltage cable to obtain the heat dissipation condition; and jointly determining the magnetic field boundary condition and the heat dissipation condition as the physical field condition information of the target high-voltage cable.

[0083] As an embodiment, the magnetic field boundary of the target high-voltage cable is limited to obtain the magnetic field boundary condition, including: limiting the axial magnetic field boundary of the target high-voltage cable to be a passive field to obtain the axial magnetic field boundary condition, limiting the boundary normal vector to be perpendicular to the radial magnetic field boundary of the target high-voltage cable to obtain the radial magnetic field boundary condition; the axial magnetic field boundary condition and the radial magnetic field boundary condition are jointly determined as the magnetic field boundary condition.

[0084] Optionally, the axial magnetic field boundary of the target high-voltage cable is limited to a passive field, and the axial magnetic field boundary condition can be expressed by the formula:

[0085]

[0086] in, is the vector magnetic potential, is the axial magnetic field boundary of the target high voltage cable.

[0087] Optionally, the boundary normal vector is limited to be perpendicular to the radial magnetic field boundary of the target high-voltage cable, and the radial magnetic field boundary condition can be expressed by the formula:

[0088]

[0089] in, is the conductor surface of the target high-voltage cable, It is the material interface of the target high voltage cable.

[0090] As an embodiment, the external heat dissipation condition of the target high-voltage cable is limited to obtain the heat dissipation condition, including: limiting the cable surface radiation of the target high-voltage cable to be the same as the heat exchanged between the cable and the outside world to obtain the heat dissipation condition.

[0091] Optionally, the acquisition of the cable surface radiation of the target high-voltage cable can be expressed by the formula:

[0092]

[0093] in, is the metal shielding layer loss factor, The cable surface of the target high voltage cable, is the Boltzmann constant, is the surface emissivity, is the boundary fluid temperature of the target high-voltage cable, is the ambient temperature of the environment where the target high voltage cable is located.

[0094] Optionally, it is limited that the cable surface radiation of the target high-voltage cable is equal to the heat exchanged between the cable and the outside world, and the heat dissipation condition can be expressed by the formula:

[0095]

[0096] Step 406: construct a cable simulation model corresponding to the target high-voltage cable according to the cable parameters and physical field condition information.

[0097] Exemplarily, step 406 includes: simulating the target high-voltage cable body and the environment in which the target high-voltage cable is located according to cable parameters to obtain a simulation model, and performing physical field constraints on the simulation model according to physical field condition information to obtain a cable simulation model.

[0098] In this embodiment, based on the cable parameters that characterize the cable characteristics of the target high-voltage cable and the environmental characteristics of the environment in which the target high-voltage cable is located, as well as the physical field condition information used to restrict the target high-voltage cable, the cable body of the target high-voltage cable, the cable environment and the cable physical field restrictions can be simulated, so that the constructed cable simulation model is more in line with the actual target high-voltage cable, thereby improving the simulation accuracy.

[0099] As a detailed embodiment, the electrical parameters of the target high-voltage cable are obtained, and based on the electrical parameters, the broadband disturbance of the target high-voltage cable is detected to obtain broadband detection data; the cable simulation model corresponding to the target high-voltage cable is obtained, and for each model part in the cable simulation model, the electromagnetic field distribution influence information corresponding to the model part on the target high-voltage cable and the contact electron degree information corresponding to the model part are determined; based on the electromagnetic field distribution influence information and the contact electron degree information, the importance of the model part is evaluated to obtain the importance of the model part; based on the importance of the model part, the size of the subdivided grid corresponding to the model part is determined ; According to the mesh size corresponding to each model part in the cable simulation model, the cable simulation model is meshed to obtain a meshed model; the simulated harmonics corresponding to the broadband detection data are simulated and applied to the meshed model to obtain a broadband disturbance simulation model; the fundamental current and the harmonic current in the broadband disturbance simulation model are merged to obtain a current merging result; according to the current merging result, the electromagnetic field distribution information of the broadband disturbance simulation model is determined, and the electromagnetic field distribution information of the broadband disturbance simulation model is determined as the predicted electromagnetic field distribution information; according to the predicted electromagnetic field distribution information, the target high-voltage cable is fault detected to obtain a fault detection result.

[0100] Further, cable parameters of the target high-voltage cable are obtained, wherein the cable parameters are used to characterize cable characteristics of the target high-voltage cable and environmental characteristics of the environment in which the target high-voltage cable is located;

[0101] Determine the physical field condition information of the target high-voltage cable; construct a cable simulation model corresponding to the target high-voltage cable based on the cable parameters and the physical field condition information; if the predicted temperature of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset temperature condition, then determine the cable fault result as the fault detection result corresponding to the target high-voltage cable; if the predicted current density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset current density condition, then determine the cable fault result as the fault detection result corresponding to the target high-voltage cable; if the predicted magnetic flux density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset magnetic flux density condition, then determine the cable fault result as the fault detection result corresponding to the target high-voltage cable.

[0102] In this way, the broadband disturbance to which the target high-voltage cable is subjected can be quantified by analyzing the electrical parameters of the target high-voltage cable, and then the electromagnetic field distribution of the target high-voltage cable after the broadband disturbance can be predicted. Thus, the fault of the target high-voltage cable can be detected based on the predicted electromagnetic field distribution information. Therefore, the fault of the high-voltage cable under the influence of the internal inducement of broadband disturbance can be detected, thereby improving the fault detection accuracy of the high-voltage cable.

[0103] Furthermore, firstly, based on the importance of the model part of the cable simulation model, the pre-simulated cable simulation model is meshed, so that the meshed model obtained by meshing takes into account the necessary prediction workload and prediction accuracy requirements of the subsequent electromagnetic field distribution status prediction, so that the meshed model can characterize the prediction requirements of each model part (including high prediction accuracy requirements, that is, high prediction workload, or low prediction accuracy requirements, that is, low prediction workload), and then the subsequent electromagnetic field distribution status prediction is carried out. Therefore, while ensuring the prediction accuracy requirements of the electromagnetic field distribution status prediction, the prediction efficiency of the electromagnetic field distribution status prediction is improved; and, based on the cable parameters that characterize the cable characteristics of the target high-voltage cable and the environmental characteristics of the environment in which the target high-voltage cable is located, as well as the physical field condition information for limiting the target high-voltage cable, the cable body of the target high-voltage cable, the environment in which the cable is located, and the cable physical field limitations can be simulated, so that the constructed cable simulation model is more in line with the actual target high-voltage cable, and the simulation accuracy is improved.

[0104] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0105] Based on the same inventive concept, the embodiment of the present application also provides a high-voltage cable fault detection device for implementing the high-voltage cable fault detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more high-voltage cable fault detection device embodiments provided below can refer to the limitations of the high-voltage cable fault detection method above, and will not be repeated here.

[0106] In an exemplary embodiment, Figure 6 As shown, a high-voltage cable fault detection device 600 is provided, comprising: an acquisition module 602, a prediction module 604 and a detection module 606, wherein:

[0107] An acquisition module 602 is used to acquire electrical parameters of a target high-voltage cable, and detect broadband disturbances suffered by the target high-voltage cable according to the electrical parameters to obtain broadband detection data;

[0108] The prediction module 604 is used to predict the electromagnetic field distribution of the target high-voltage cable under the broadband disturbance according to the broadband detection data, and obtain the predicted electromagnetic field distribution information;

[0109] The detection module 606 is used to perform fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result.

[0110] In one of the embodiments, the prediction module 604 is also used to obtain a cable simulation model corresponding to the target high-voltage cable, and to mesh the cable simulation model according to the importance of each model part in the cable simulation model to obtain a mesh model; to simulate the mesh model by applying simulated harmonics corresponding to the broadband detection data to obtain a broadband disturbance simulation model; to determine the electromagnetic field distribution information of the broadband disturbance simulation model, and to determine the electromagnetic field distribution information of the broadband disturbance simulation model as the predicted electromagnetic field distribution information.

[0111] In one of the embodiments, the prediction module 604 is also used to determine, for each model part in the cable simulation model, the electromagnetic field distribution influence information corresponding to the model part on the target high-voltage cable, and the contact electron degree information corresponding to the model part; evaluate the importance of the model part based on the electromagnetic field distribution influence information and the contact electron degree information to obtain the importance of the model part; determine the corresponding grid size of the model part based on the importance of the model part; and mesh the cable simulation model based on the mesh size corresponding to each model part in the cable simulation model to obtain a meshed model.

[0112] In one embodiment, the prediction module 604 is further used to merge the fundamental current and the harmonic current in the broadband disturbance simulation model to obtain a current merging result; and determine the electromagnetic field distribution information of the broadband disturbance simulation model according to the current merging result.

[0113] In one of the embodiments, before obtaining the cable simulation model corresponding to the target high-voltage cable, the above-mentioned device also includes: a simulation module, used to obtain cable parameters of the target high-voltage cable, wherein the cable parameters are used to characterize the cable characteristics of the target high-voltage cable and the environmental characteristics of the environment in which the target high-voltage cable is located; determine the physical field condition information of the target high-voltage cable; and construct a cable simulation model corresponding to the target high-voltage cable based on the cable parameters and the physical field condition information.

[0114] In one of the embodiments, the detection module 606 is also used to perform at least one of the following items: if the predicted temperature of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset temperature condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; if the predicted current density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset current density condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; if the predicted magnetic flux density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset magnetic flux density condition, the cable fault result is determined as the fault detection result corresponding to the target high-voltage cable.

[0115] Each module in the above-mentioned high-voltage cable fault detection device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0116] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a high-voltage cable fault detection method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0117] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0118] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0119] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0120] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0121] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0122] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0123] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A high voltage cable fault detection method, characterized in that: The method comprises: Acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable based on the electrical parameters to obtain broadband detection data; According to the broadband detection data, predicting the electromagnetic field distribution condition of the target high-voltage cable under broadband disturbance to obtain predicted electromagnetic field distribution information; According to the predicted electromagnetic field distribution information, fault detection is performed on the target high-voltage cable to obtain a fault detection result.

2. The method according to claim 1, characterized in that The method of predicting the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the broadband detection data to obtain predicted electromagnetic field distribution information includes: Acquire a cable simulation model corresponding to the target high-voltage cable, and mesh the cable simulation model according to the importance of each model part in the cable simulation model to obtain a meshed model; Applying simulated harmonics corresponding to the broadband detection data to the grid subdivision model to obtain a broadband disturbance simulation model; The electromagnetic field distribution information of the broadband disturbance simulation model is determined, and the electromagnetic field distribution information of the broadband disturbance simulation model is determined as the predicted electromagnetic field distribution information.

3. The method according to claim 2, characterized in that The meshing of the cable simulation model to obtain a meshing model includes: For each model part in the cable simulation model, determining the electromagnetic field distribution influence information corresponding to the model part on the target high-voltage cable, and the contact electron degree information corresponding to the model part; According to the electromagnetic field distribution influence information and the contact electron degree information, the importance of the model part is evaluated to obtain the importance of the model part; Determine the size of the mesh corresponding to the model part according to the importance of the model part; According to the mesh sizes corresponding to each model part in the cable simulation model, the cable simulation model is meshed to obtain a meshed model.

4. The method according to claim 2, characterized in that: The determining of the electromagnetic field distribution information of the broadband disturbance simulation model includes: Merging the fundamental current and the harmonic current in the broadband disturbance simulation model to obtain a current merging result; The electromagnetic field distribution information of the broadband disturbance simulation model is determined according to the current merging result.

5. The method according to claim 2, characterized in that: Before obtaining the cable simulation model corresponding to the target high-voltage cable, the method further includes: Acquiring cable parameters of the target high-voltage cable, wherein the cable parameters are used to characterize cable characteristics of the target high-voltage cable and environmental characteristics of an environment in which the target high-voltage cable is located; Determining physical field condition information of the target high-voltage cable; A cable simulation model corresponding to the target high-voltage cable is constructed according to the cable parameters and the physical field condition information.

6. The method according to any one of claims 1 to 5, characterized in that The step of performing fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result includes at least one of the following: If the predicted temperature of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset temperature condition, a cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; If the predicted current density of the target high-voltage cable represented by the predicted electromagnetic field distribution information does not meet the preset current density condition, a cable fault result is determined as the fault detection result corresponding to the target high-voltage cable; If the predicted electromagnetic field distribution information indicates that the predicted magnetic flux density of the target high-voltage cable does not meet a preset magnetic flux density condition, a cable fault result is determined as a fault detection result corresponding to the target high-voltage cable.

7. A high voltage cable fault detection device, characterized in that: The device comprises: An acquisition module, used for acquiring electrical parameters of a target high-voltage cable, and detecting broadband disturbances suffered by the target high-voltage cable according to the electrical parameters to obtain broadband detection data; A prediction module, used to predict the electromagnetic field distribution of the target high-voltage cable under broadband disturbance according to the broadband detection data, and obtain predicted electromagnetic field distribution information; The detection module is used to perform fault detection on the target high-voltage cable according to the predicted electromagnetic field distribution information to obtain a fault detection result.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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