Rapid maintenance method for distribution line

Abstract

The invention discloses a rapid maintenance method for a distribution line, and relates to the technical field of electrical variable measurement, and the method comprises the steps: transmitting a multi-frequency electromagnetic wave to the distribution line through a multi-frequency electromagnetic wave detection device, receiving an echo signal, and extracting the electromagnetic characteristic data of the line; performing hierarchical analysis on the electromagnetic characteristic data to generate a fault preliminary report; based on the characteristics of the fault preliminary report and the echo signal, constructing a three-dimensional fault positioning map, and outputting fault positioning data; based on the repair suggestion report, utilizing an electric field to guide liquid metal to flow to the fault point, and performing filling and curing repair on the fault area; after repairing is completed, secondary detection is carried out on the repairing area and the adjacent area through multi-frequency electromagnetic waves, and the operation characteristics of the repairing point and the adjacent area are verified; according to the method, the electromagnetic characteristic data is extracted by using the echo signals, the three-dimensional fault positioning map is generated, the spatial position, geometric characteristics and material distribution of the fault point are accurately identified, and accurate support is provided for repair.

Description

Technical Field

[0001] The invention relates to the technical field of measuring electric variables, in particular to a method for rapid maintenance of a power distribution line. Background Art

[0002] With the continuous expansion of the scale of modern power grids, the operational reliability and maintenance efficiency of distribution lines have become important issues that need to be urgently addressed in the power system. Traditional distribution line maintenance methods usually rely on manual inspections or simple electrical testing methods. This method is not only inefficient, but also easily limited by the complex line environment. Especially in high-voltage and long-distance lines, the accuracy and timeliness of fault location are difficult to meet actual needs. In recent years, line diagnosis methods based on electromagnetic wave detection technology have gradually become a research hotspot. Among them, multi-frequency electromagnetic waves can reflect the electromagnetic characteristics of the line through echo signals. Combined with modern signal processing and machine learning technology, the preliminary location and diagnosis of distribution line faults can be achieved. However, these methods still have limitations in the precise location of complex faults, three-dimensional fault characteristic modeling, and the automatic generation of subsequent repair plans.

[0003] Although existing technologies can analyze the electromagnetic characteristics of distribution lines to a certain extent, they are still insufficient in terms of fault location accuracy, feature extraction completeness, and subsequent repair efficiency. On the one hand, conventional methods have limited extraction of spatial characteristics of fault points and cannot accurately describe the geometric characteristics and internal structure of the fault area; on the other hand, repair methods are mostly manual operations or simple replacements, which cannot effectively deal with tiny cracks or material defects in distribution lines. In particular, during the repair process, the distribution state and flow path of the liquid metal inside the conductor are difficult to be accurately controlled, resulting in limited repair quality and reliability. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for rapid maintenance of distribution lines to solve the problems of insufficient accuracy in locating faults in distribution lines and low automation in the repair process.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for rapid maintenance of a power distribution line, which comprises transmitting multi-frequency electromagnetic waves to the power distribution line through a multi-frequency electromagnetic wave detection device, receiving echo signals, and extracting electromagnetic characteristic data of the line;

[0008] Perform hierarchical analysis on electromagnetic characteristic data and generate preliminary fault reports;

[0009] Based on the preliminary fault report and the characteristics of the echo signal, a three-dimensional fault location map is constructed and the fault location data is output;

[0010] Based on the fault location data, the geometric characteristics of the fault area and the distribution of liquid metal inside the conductor are analyzed to generate a repair suggestion report;

[0011] Based on the repair recommendation report, the electric field is used to guide the liquid metal to flow to the fault point to fill and solidify the fault area for repair;

[0012] After the repair is completed, the repair area and adjacent areas are secondary inspected using multi-frequency electromagnetic waves to verify the operating characteristics of the repair point and adjacent areas.

[0013] As a preferred solution of the method for rapid maintenance of power distribution lines of the present invention, the specific steps of receiving echo signals and extracting electromagnetic characteristic data of the lines are as follows:

[0014] Calibrate the multi-frequency electromagnetic wave detection device, and after calibration, emit multi-frequency electromagnetic waves to the power distribution line;

[0015] synchronously receiving the amplitude, phase and delay characteristics of the echo signal using a receiving device;

[0016] De-noising the amplitude, phase and delay characteristics of the received echo signal, and extracting the amplitude and phase data of each frequency band;

[0017] Calculate the reflection coefficient, impedance characteristics and frequency loss characteristics of the line through the amplitude and phase data of each frequency band;

[0018] Calculate the spatial distribution characteristics of the distribution line based on the time delay characteristics of the echo signal;

[0019] Integrate reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics to generate electromagnetic characteristic data of distribution lines.

[0020] As a preferred solution of the method for rapid maintenance of power distribution lines of the present invention, the electromagnetic characteristic data is analyzed in layers to generate a preliminary fault report. The specific steps are as follows:

[0021] Format, denoise and normalize electromagnetic characteristic data;

[0022] Analyze the reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics of the processed electromagnetic characteristic data, and mark the characteristic change points;

[0023] Calculate the spatial position of the fault point based on the characteristic change point combined with the time delay characteristics of the echo signal;

[0024] Perform frequency response on amplitude and phase data of different frequency bands to extract fault characteristic frequency bands

[0025] The characteristic change point, the spatial position of the fault point and the fault characteristic frequency band are integrated to generate a fault characteristic vector;

[0026] Perform feature matching between the fault feature vector and the fault history data to identify the fault type;

[0027] Generate a preliminary fault report based on the fault type.

[0028] As a preferred solution of the method for rapid maintenance of distribution lines of the present invention, the specific steps of constructing a three-dimensional fault location map based on the characteristics of the preliminary fault report and the echo signal and outputting the fault location data are as follows:

[0029] Extract the spatial location of the fault point, characteristic change point and fault characteristic frequency band from the preliminary fault report;

[0030] The time domain, frequency domain and spatial characteristics of the echo signal are mapped into high-dimensional topological states, and the topological description is generated by the signal topological state distribution generation model. The expression is:

[0031] ;

[0032] in, is the topological characteristic function of the signal, represents the three-dimensional space position, is the lateral spatial coordinate in the distribution line, is the longitudinal spatial coordinate in the distribution line, is the vertical spatial coordinate of the distribution line, is the frequency of the electromagnetic wave, is the spatial integration domain, Indicates the position in three-dimensional space, the frequency The amplitude characteristics under Indicates the echo signal at frequency The phase characteristics under represents the second-order derivative of the amplitude characteristic, Indicates the amplitude characteristics According to frequency Perform two partial derivative operations, is a scalar field of three-dimensional position and frequency The phase characteristics of It represents the adjustment coefficient of the weight of the control phase characteristic in the topological characteristic function, It represents the adjustment coefficient of the weight of the topological characteristic function in controlling the time delay characteristic. Indicates the spatial position, the time delay varies with frequency The rate of change, is the spatial infinitesimal element;

[0033] For topological characteristic functions Perform denoising processing;

[0034] Use machine learning models to optimize topological characteristic functions and extract topological change characteristics of fault points;

[0035] After optimization, the topological characteristic function In the above equation, the area with the largest topological change is identified, and the three-dimensional geometric characteristic components of the fault point are determined. The expression is:

[0036] ;

[0037] in, The three-dimensional geometric characteristic components of the fault point, The spatial location of the fault point, represents the fault characteristic weight factor, represents the smoothing factor, Represents the gradient of the topological characteristic function;

[0038] Based on the three-dimensional geometric characteristic components of the fault point, combined with the line material characteristics and the high-frequency components of the echo signal, the flow path and distribution state of the liquid metal near the fault point are analyzed, and the liquid metal distribution is output;

[0039] Combine the spatial position of the fault point, the three-dimensional geometric characteristic components and the liquid metal distribution to generate a complete three-dimensional fault location map;

[0040] The data of the three-dimensional fault location map is output as fault location data in a standardized format.

[0041] As a preferred solution of the method for rapid maintenance of distribution lines of the present invention, wherein: according to the fault location data, the geometric characteristics of the fault area and the distribution of liquid metal inside the conductor are analyzed to generate a repair suggestion report, the specific steps are as follows:

[0042] Extract geometric characteristic data of the fault area in the three-dimensional fault location map;

[0043] Based on the geometric characteristics of the fault area, the liquid metal distribution and flow path inside the conductor are analyzed, and the volume of the metal missing area is calculated;

[0044] Determine the filling amount of liquid metal and the spatial coordinates of the filling starting point and ending point according to the missing volume and flow path of the metal;

[0045] Combined with the fault area depth and liquid metal distribution, the intensity and coverage of the electric field guidance are calculated;

[0046] According to the intensity and coverage of the electric field guidance and the geometric characteristics of the fault area, the curing temperature and curing pressure parameters in the repair process are calculated;

[0047] Integrate the liquid metal filling volume, the intensity and coverage of the electric field guidance, as well as the solidification temperature and solidification pressure parameters, and generate a repair recommendation report.

[0048] As a preferred solution of the method for rapid maintenance of distribution lines of the present invention, the specific steps of calculating the strength and coverage of the electric field guidance by combining the depth of the fault area and the distribution of liquid metal are as follows:

[0049] Use 3D scanning imaging to extract the depth and width data of the fault area and determine the spatial range of the electric field action area;

[0050] The conductivity is measured by analyzing the liquid metal composition, and the response electric field distribution characteristics of the liquid metal are extracted by combining topological quantum state analysis to obtain the parameters of the metal response electric field;

[0051] Based on the geometric characteristic data of the fault area and the parameters of the metal response electric field, the intensity of the electric field guidance is calculated by Maxwell's equations;

[0052] Combined with the spatial location of the fault area and the liquid metal flow path, the finite element method is used to simulate the electric field distribution and determine the coverage range.

[0053] As a preferred solution of the method for rapid maintenance of distribution lines of the present invention, the specific steps are as follows: based on the repair suggestion report, the electric field is used to guide the liquid metal to flow to the fault point, and the fault area is filled and solidified for repair.

[0054] Extract the geometric characteristics of the fault area and the liquid metal filling requirements in the repair recommendation report, and determine the electrode position and electric field strength parameters;

[0055] Arrange electrodes according to electrode position and electric field strength parameters, adjust voltage and electrode spacing, and form a liquid metal guiding path;

[0056] The liquid metal is heated to a working temperature above the melting point by an injection device and then injected into the area between the electrodes, and the heated liquid metal is guided to flow to the fault point by an electric field;

[0057] Monitor the liquid metal flow path and adjust the electric field strength and direction to ensure that the liquid metal is evenly filled into the fault area;

[0058] After the liquid metal filling is completed, local heating is applied to the fault area to solidify the filled metal material.

[0059] As a preferred solution of the method for rapid maintenance of distribution lines of the present invention, after the repair is completed, a secondary detection is performed on the repair area and the adjacent area by multi-frequency electromagnetic waves to verify the operating characteristics of the repair point and the adjacent area. The specific steps are as follows:

[0060] Calibrate the multi-frequency electromagnetic wave detection device, emit multi-frequency electromagnetic waves to the repair area and adjacent areas, and extract electromagnetic characteristic data;

[0061] Receive the echo signal, analyze the amplitude, phase and time delay characteristics of the echo signal, and calculate the spatial distribution characteristics of the repair area and adjacent areas based on the time delay characteristics of the echo signal;

[0062] De-noise the extracted electromagnetic characteristic data, and locate the specific location of the changes in spatial distribution characteristics in the repair area and adjacent areas by comparing with the baseline data before repair;

[0063] Use frequency domain analysis and time domain analysis to quantitatively analyze the electromagnetic characteristics of the repair area and adjacent areas to evaluate the material compatibility of the repair point;

[0064] Integrate the analysis results and generate an operational performance verification report.

[0065] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the method for rapid maintenance of distribution lines as described in the first aspect of the present invention is implemented.

[0066] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: the computer program, when executed by a processor, implements any step of the method for rapid maintenance of distribution lines as described in the first aspect of the present invention.

[0067] The beneficial effects of the present invention are as follows: the present invention realizes high-precision positioning and intelligent repair of distribution line faults through multi-frequency electromagnetic wave detection and three-dimensional fault modeling, greatly improving the efficiency of diagnosis and repair; uses echo signals to extract electromagnetic characteristic data and generate a three-dimensional fault location map, accurately identifies the spatial position, geometric characteristics and material distribution of the fault point, and provides precise support for repair; based on the fault characteristics, uses electric field guidance technology to dynamically control the flow path of liquid metal, realizes accurate filling and solidification repair of the fault area, and ensures uniform distribution of liquid metal through finite element simulation to improve the quality of repair; after the repair is completed, uses multi-frequency electromagnetic waves for secondary detection to verify the performance of the repair point and adjacent areas, verifies the geometric characteristics, material compatibility and conductive properties, builds a closed-loop feedback mechanism, reduces the risk of secondary faults, significantly improves the efficiency and safety of distribution line operation and maintenance, reduces the difficulty of manual intervention, and has broad application value and economic advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0069] Figure 1 This is a flow chart of the method for rapid maintenance of distribution lines in Example 1.

[0070] Figure 2 Schematic diagram of calculating the intensity and coverage of electric field guidance in Example 1. DETAILED DESCRIPTION

[0071] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0072] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0073] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0074] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a method for rapid maintenance of a power distribution line, comprising the following steps:

[0075] S1. Use a multi-frequency electromagnetic wave detection device to transmit multi-band electromagnetic waves to the distribution line, receive echo signals, and extract the electromagnetic characteristic data of the line.

[0076] Furthermore, the multi-frequency electromagnetic wave detection device is calibrated, and after calibration, the multi-frequency electromagnetic waves are emitted to the power distribution line;

[0077] Specifically, the receiving device includes the following components: a high-sensitivity receiving antenna, a low-noise amplifier, a signal analog-to-digital converter, a multi-channel signal receiving unit, a clock synchronization module and a digital signal processing unit.

[0078] synchronously receiving the amplitude, phase and delay characteristics of the echo signal using a receiving device;

[0079] De-noising the amplitude, phase and delay characteristics of the received echo signal, and extracting the amplitude and phase data of each frequency band;

[0080] It should be noted that the echo signal refers to the return signal generated by the target (such as distribution lines) due to its electromagnetic characteristics (such as reflection, scattering or absorption) after the detection device transmits electromagnetic waves to the target (such as distribution lines) during the electromagnetic wave detection process; these echo signals contain key information about the target, such as its spatial position, material properties, geometric properties, etc.; by analyzing the amplitude, phase, time delay and other characteristics of the echo signal, the reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics of the target can be calculated, thereby realizing the detection of the target state and fault location; the accurate analysis of the echo signal is the core link of electromagnetic wave detection technology, which directly affects the accuracy of fault identification and location.

[0081] Specifically, the received echo signal is denoised using wavelet transform, and the signal is decomposed into different frequency bands to suppress high-frequency noise while retaining the effective frequency components of the signal; the denoised signal is bandpass filtered to separate the signal of the specified frequency band; for each separated frequency band signal, its instantaneous amplitude is calculated by the modulus of the complex number; the instantaneous phase of the signal is extracted using the inverse tangent function.

[0082] Calculate the reflection coefficient, impedance characteristics and frequency loss characteristics of the line through the amplitude and phase data of each frequency band;

[0083] Specifically, by extracting the amplitude and phase data of the echo signal, the reflection coefficient of the line can be calculated. This coefficient is obtained by analyzing the amplitude ratio and phase difference between the echo signal and the transmitted signal, and is used to characterize the reflection characteristics of the line at a specific frequency. Based on the reflection coefficient, the impedance conversion relationship can be further used to calculate the impedance characteristics of the line at different frequencies, thereby reflecting the changes in the electrical characteristics of the line. At the same time, by comparing the amplitude attenuation of the echo signal and the transmitted signal, the frequency loss characteristics of the line are analyzed, and the degree of energy loss of the line at different frequencies is quantified. These calculation results together provide key data support for the electromagnetic characteristics analysis of the line.

[0084] Calculate the spatial distribution characteristics of the distribution line based on the time delay characteristics of the echo signal;

[0085] Specifically, by measuring the difference between the arrival time of the echo signal and the sending time of the transmitted signal, the time delay characteristics of the signal can be calculated. The time delay characteristics are combined with the propagation speed of electromagnetic waves in the distribution line to determine the distance between the signal reflection point and the emission source, thereby locating the spatial position characteristics in the distribution line. By associating the distances corresponding to different time delay characteristics with the intensity of the echo signal, the spatial distribution characteristics of the line can be generated, which can be used to identify abnormal areas or fault point locations in the line, providing basic data support for subsequent analysis.

[0086] Integrate reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics to generate electromagnetic characteristic data of distribution lines.

[0087] Specifically, the integration process is to organize the reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics calculated previously, and associate the reflection characteristics, impedance values ​​and loss values ​​corresponding to each frequency point to form complete frequency response characteristic data. At the same time, the spatial distribution characteristics are combined with the frequency domain electromagnetic characteristics to map the corresponding relationship between the fault point and the abnormal area in the spatial position and frequency domain characteristics. Finally, the frequency, spatial position and corresponding electromagnetic characteristic parameters are organized into a data table in a unified format to facilitate subsequent analysis and processing.

[0088] S2. Perform layered analysis on the electromagnetic characteristic data and generate a preliminary fault report.

[0089] Furthermore, the electromagnetic characteristic data is formatted, denoised and normalized;

[0090] Specifically, the extracted electromagnetic characteristic data are converted into a unified format, and the data from different sources are organized into a matrix form for subsequent analysis. Signal processing algorithms such as median filtering or wavelet denoising are used to suppress noise and remove abnormal jump signals. Characteristic parameters of different dimensions such as reflection coefficient, impedance and frequency loss are normalized and scaled to the same range (such as 0 to 1) to ensure that the parameters in subsequent calculations are comparable and not affected by magnitude differences.

[0091] Analyze the reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics of the processed electromagnetic characteristic data, and mark the characteristic change points;

[0092] Specifically, the formatted data is analyzed one by one according to the characteristic dimension, and the wavelet transform method is used to detect the mutation points in the reflection coefficient signal and mark the change positions; the abnormal fluctuation area of ​​the impedance is analyzed by the gradient change of the impedance characteristic curve and the change points are marked; the frequency loss characteristics are subjected to spectral analysis to calculate the energy distribution of each frequency band, and the positions where the energy is significantly attenuated are marked; combined with the spatial distribution characteristics, the characteristic change points are mapped to the spatial coordinates to form the spatial distribution marks of the characteristic change points.

[0093] Calculate the spatial position of the fault point based on the characteristic change point combined with the time delay characteristics of the echo signal;

[0094] Specifically, the propagation path length of the echo signal is calculated by time domain reflectometry (TDR) using the marked characteristic change points combined with the time delay of the echo signal. The time delay is converted into the actual spatial distance of the fault based on the propagation speed of electromagnetic waves in different media or conductors. The fault point is accurately located to a specific line section or node based on the known topological structure and geometric characteristics of the line, and the start and end positions of the fault range are recorded.

[0095] Perform frequency response on the amplitude and phase data of different frequency bands and extract the fault characteristic frequency band;

[0096] Specifically, for the amplitude and phase data of different frequency bands, first perform fast Fourier transform (FFT) on the frequency response characteristics of each frequency band to extract the characteristic patterns of amplitude and phase changes with frequency; by analyzing the influence of frequency on signal amplitude in the spectrum diagram, identify the parts of the frequency band with sudden energy drops or abnormal amplitude, and extract the characteristic frequency bands related to the fault; calculate the center frequency, bandwidth and energy distribution characteristics of the characteristic frequency band to provide spectrum feature input for subsequent analysis.

[0097] The characteristic change point, the spatial position of the fault point and the fault characteristic frequency band are integrated to generate a fault characteristic vector;

[0098] Specifically, the data of characteristic change points, fault points and fault characteristic frequency bands are integrated in the form of vectors, and the multi-dimensional information of the fault is represented by a unified characteristic vector. The dimensions of the characteristic vector are normalized to ensure that the amplitude of the characteristic change point, the distance of the spatial position and the weight of the frequency characteristics are consistent. The principal component analysis (PCA) is used to reduce the dimension of the characteristic vector, remove redundant information and extract key features to generate a fault characteristic vector.

[0099] Perform feature matching between the fault feature vector and the fault history data to identify the fault type;

[0100] Specifically, when matching the fault feature vector with the fault history data, it is first necessary to extract typical feature templates for each fault type from the historical data. These templates contain information such as the reflection coefficient range, impedance change pattern, frequency response characteristics, and spatial distribution characteristics. Then, mathematical methods (such as Euclidean distance, cosine similarity) or machine learning algorithms (such as support vector machine SVM or KNN algorithm) are used to calculate the similarity between the extracted fault feature vector and templates of different fault types in the historical data. According to the template with the highest similarity, the current fault is classified into the corresponding fault type. At the same time, the confidence of the matching result and the feature distribution trend are combined to provide a detailed judgment basis to complete the identification of the fault type.

[0101] Generate a preliminary fault report including fault location, type and characteristic parameters based on the fault type.

[0102] Specifically, first extract the spatial position of the fault point (such as specific location coordinates or distribution range), clarify the fault type (such as breakage, short circuit, poor contact, etc.), and extract key electromagnetic characteristic parameters (such as reflection coefficient, impedance change, frequency loss, etc.) from the fault feature vector.

[0103] It should be noted that after extracting the key electromagnetic characteristic parameters, the data should be presented in the form of text descriptions, tables and graphics through automated templates to ensure that the information is comprehensive and intuitive. The report generation process will also add repair suggestions or further detection prompts based on the fault type to support subsequent decision-making.

[0104] Example: Initial Failure Report

[0105] If the fault occurs within the line length range of 35 to 40 meters, the positioning accuracy is ±0.5 meters based on the electromagnetic signal delay calculation;

[0106] The fault type is fracture fault (confidence level 95%);

[0107] Among them, the fault characteristic parameters include reflection coefficient: -0.65, with an obvious mutation peak; impedance change: the impedance increases from 50 ohms to 120 ohms, with a significant change; frequency loss: in the high frequency band of 20MHz to 30MHz, the energy attenuation is about 25%.

[0108] Fault description: According to the feature matching results, the fault type is fracture, the spatial distribution characteristics are concentrated at a single point, and the energy attenuation in the high-frequency band is obvious, which meets the typical characteristics of fracture faults;

[0109] Recommended Actions: It is recommended to conduct a detailed physical inspection of the line within 35 meters to 40 meters and take repair measures such as replacing or reconnecting the line depending on the characteristics of the break fault.

[0110] S3. Based on the preliminary fault report and the characteristics of the echo signal, a three-dimensional fault location map is constructed and the fault location data is output.

[0111] Furthermore, the spatial location of the fault point, the characteristic change point and the fault characteristic frequency band are extracted from the preliminary fault report;

[0112] The time domain, frequency domain and spatial characteristics of the echo signal are mapped into high-dimensional topological states, and the topological description is generated by the signal topological state distribution generation model. The expression is:

[0113] ;

[0114] in, is the topological characteristic function of the signal, represents the three-dimensional space position, is the lateral spatial coordinate in the distribution line, is the longitudinal spatial coordinate in the distribution line, is the vertical spatial coordinate of the distribution line, is the frequency of the electromagnetic wave, is the spatial integration domain, which represents the physical space range of the distribution line. Indicates the position in three-dimensional space, the frequency The amplitude characteristics under Indicates the echo signal at frequency The phase characteristics under The second-order derivative of the amplitude characteristic reflects the effect of frequency change on the amplitude. Indicates the amplitude characteristics According to frequency Perform two partial derivative operations, is a scalar field of three-dimensional position and frequency The phase characteristics characterize the spatial distribution change of the phase. It represents the adjustment coefficient of the weight of the control phase characteristic in the topological characteristic function, It represents the adjustment coefficient of the weight of the topological characteristic function in controlling the time delay characteristic. Indicates the spatial position, the time delay varies with frequency The rate of change of reflects the impact of delay characteristics on frequency distribution. is a spatial differential element, which represents the unit for accumulating a tiny area of ​​the three-dimensional space of the line during the integration process, and is used to calculate the topological characteristic distribution of the entire line space;

[0115] It should be noted that if , indicating that there may be a spatial distribution of fault characteristics in this area; if , represents the spatial topological characteristics of the normal line; if , indicating that the signal may contain noise or interference and needs further denoising.

[0116] It should also be noted that for and The value of can be adjusted based on experimental data (such as the contribution ratio of phase characteristics and time delay characteristics to fault location in the experiment).

[0117] For topological characteristic functions Perform denoising to eliminate errors caused by environmental noise, multipath interference, etc.

[0118] Among them, specific denoising methods include: using frequency domain filtering (such as low-pass filtering) or time-frequency analysis (such as short-time Fourier transform, wavelet transform) to remove noise, or using machine learning models (such as autoencoders) to remove environmental noise.

[0119] Use machine learning models (such as convolutional neural networks) to optimize topological characteristic functions and extract topological change characteristics of fault points;

[0120] After optimization, the topological characteristic function In the above equation, the area with the largest topological change is identified, and the three-dimensional geometric characteristics of the fault point are determined. The expression is:

[0121] ;

[0122] in, The three-dimensional geometric characteristic component of the fault point is used to describe the spatial location The strength of the fault topology characteristics, represents the spatial location of the fault point, represents the fault characteristic weight factor, represents the smoothing factor, which is used to suppress the weight of the influence of noise on geometric characteristics. The gradient of the topological characteristic function represents the spatial rate of change of the signal;

[0123] It should be noted that Indicates that the geometric characteristics of the area are significant and may be a fault area or fault point; It indicates a normal area with no obvious geometric abnormalities; Indicates noise or unidentified interference that requires further inspection.

[0124] It should also be noted that The value range is usually , used to balance the noise impact.

[0125] Based on the three-dimensional geometric characteristic components of the fault point, combined with the line material characteristics and the high-frequency components of the echo signal, the flow path and distribution state of the liquid metal near the fault point are analyzed, and the liquid metal distribution is output;

[0126] For example: how the reflection characteristics of liquid metal to electromagnetic waves in different frequency bands affect the echo signal; how the high-frequency components are used to determine the flow path and distribution state of liquid metal.

[0127] Combine the spatial position of the fault point, the three-dimensional geometric characteristic components and the liquid metal distribution to generate a complete three-dimensional fault location map;

[0128] Specifically, the three-dimensional fault location map includes: spatial position mark; geometric characteristic distribution; flow path and distribution state of liquid metal.

[0129] The data of the three-dimensional fault location map is output as fault location data in a standardized format.

[0130] Specifically, the format of the output data, for example: spatial location data, Three-dimensional coordinates; geometric property values, dimensionless values ​​(such as ; Liquid metal distribution, expressed in the form of flow field vector or path diagram.

[0131] S4. Based on the fault location data, the geometric characteristics of the fault area and the distribution of liquid metal inside the conductor are analyzed to generate a repair suggestion report.

[0132] Furthermore, geometric characteristic data of the fault area in the three-dimensional fault location map is extracted;

[0133] Specifically, the geometric characteristic data includes the length, width, depth and spatial position data of the fault area.

[0134] Based on the geometric characteristics of the fault area, the liquid metal distribution and flow path inside the conductor are analyzed, and the volume of the metal missing area is calculated;

[0135] Specifically, based on the geometric characteristics of the fault area, the three-dimensional scanning imaging technology is first used to obtain the geometric parameters of the fault area such as depth, width and length, and a three-dimensional digital model of the fault area is established through data processing. Then, combined with the line material characteristics and the physical properties of the liquid metal, the high-frequency components of the echo signal are used for analysis to determine the distribution state and flow path of the liquid metal in the fault area and its adjacent areas, and the specific volume of the metal missing area is calculated through the volume integration method. At the same time, the mass of the missing part is further calculated in combination with the density parameters of the liquid metal, providing accurate data support for subsequent repairs.

[0136] Determine the filling amount of liquid metal and the spatial coordinates of the filling starting point and ending point according to the missing volume and flow path of the metal;

[0137] Specifically, according to the volume and flow path of the missing metal, the three-dimensional digital model of the missing metal area calculated in the previous step is first used to accurately calculate the volume of the missing part using the numerical integration method, and it is used as the filling amount of liquid metal. At the same time, combined with the analytical results of the flow path, the directionality of the liquid metal filling is determined; then, by analyzing the inlet and outlet positions of the flow path, combined with the geometric characteristics and spatial distribution of the fault area, the lowest point of the fault area or the starting point of the natural flow of liquid metal is selected as the filling starting point, and the highest point of the fault area or the end of the liquid metal flow path is selected as the filling ending point, so as to clarify the spatial coordinates of the filling and provide precise positioning for the subsequent repair process.

[0138] Combined with the fault area depth and liquid metal distribution, the intensity and coverage of the electric field guidance are calculated;

[0139] Specifically, three-dimensional scanning imaging is used to extract the depth and width data of the fault area to determine the spatial range of the electric field action area; the electrical conductivity is measured through liquid metal composition analysis, and the response electric field distribution characteristics of the liquid metal are extracted in combination with topological quantum state analysis to obtain the parameters of the metal response electric field; based on the geometric characteristic data of the fault area and the parameters of the metal response electric field, the intensity of the electric field guidance is calculated through the Maxwell equations; combined with the spatial position of the fault area and the liquid metal flow path, the finite element method is used to simulate the electric field distribution and determine the coverage range.

[0140] According to the intensity and coverage of the electric field guidance and the geometric characteristics of the fault area, the curing temperature and curing pressure parameters in the repair process are calculated;

[0141] Integrate the liquid metal filling volume, the intensity and coverage of the electric field guidance, as well as the solidification temperature and solidification pressure parameters, and generate a repair recommendation report.

[0142] S5. Based on the repair recommendation report, use the electric field to guide the liquid metal to flow to the fault point to fill and solidify the fault area for repair.

[0143] Furthermore, the geometric characteristics of the fault area and the liquid metal filling requirements in the repair suggestion report are extracted to determine the electrode position and electric field strength parameters;

[0144] Arrange electrodes according to electrode position and electric field strength parameters, adjust voltage and electrode spacing, and form a liquid metal guiding path;

[0145] Specifically, by gradually adjusting the voltage difference between the electrodes according to the geometric characteristics of the fault area and the flow requirements of the liquid metal, a suitable electric field strength is established, and the electrode spacing is adjusted to optimize the electric field distribution direction, thereby forming a stable electric field path between the fault area and the injection point to guide the flow of liquid metal.

[0146] The liquid metal is heated to a working temperature above the melting point by an injection device and then injected into the area between the electrodes, and the heated liquid metal is guided to flow to the fault point by an electric field;

[0147] The best method is to adjust the voltage difference and spacing between electrodes to form a stable electric field path, and use the electric field force to guide the liquid metal to flow precisely to the fault point, overcoming the problem of the traditional method that the flow direction of liquid metal in complex geometric structures is difficult to control. This precise control method based on electric field guidance can effectively improve the efficiency and accuracy of filling.

[0148] Monitor the liquid metal flow path and adjust the electric field strength and direction to ensure that the liquid metal is evenly filled into the fault area;

[0149] Specifically, a high-frequency ultrasonic detection device or an electromagnetic induction sensor is used to monitor the liquid metal flow path in real time.

[0150] Preferably, high-frequency ultrasound analyzes the reflected signal of liquid metal in the flow path to accurately locate the real-time position and flow state of the metal; electromagnetic induction sensors detect the electromagnetic response characteristics of liquid metal and provide real-time feedback on its spatial distribution and flow speed. The real-time data provided by the monitoring device can be directly used to determine the distribution of liquid metal in the fault area.

[0151] It should be noted that according to the liquid metal distribution information fed back by the monitoring device, the liquid metal is guided to flow to the unfilled area by adjusting the strength and direction of the electric field. By dynamically adjusting the voltage and electrode spacing, the local electric field gradient is enhanced, prompting the liquid metal to fill the uneven area. At the same time, the injection device can accurately control the injection rate of the liquid metal to avoid over- or under-filling, thereby ensuring uniform filling of the fault area.

[0152] It should also be noted that by real-time monitoring of the flow path of liquid metal, the distribution information of liquid metal in the fault area can be accurately obtained, and the liquid metal can be guided to flow to the unfilled area by dynamically adjusting the electric field strength and direction; this method avoids the problems of uneven filling, omissions or material waste that may be caused by the filling process relying on a fixed path or a single guiding mode in traditional methods, thereby significantly improving the filling accuracy and repair quality, and ensuring the integrity and reliability of the fault area.

[0153] After the liquid metal filling is completed, local heating is applied to the fault area to solidify the filled metal material.

[0154] Preferably, local heating is used to quickly solidify the liquid metal, avoiding the problems of time extension, material degeneration or uneven solidification caused by natural cooling or overall heating in traditional methods. This local heating and solidification method can significantly improve the repair efficiency and material performance stability.

[0155] S6. After the repair is completed, the repair area and adjacent areas are re-tested by multi-frequency electromagnetic waves to verify the operating characteristics of the repair point and adjacent areas.

[0156] Furthermore, a multi-frequency electromagnetic wave detection device is calibrated to emit multi-frequency electromagnetic waves to the repair area and adjacent areas to extract electromagnetic characteristic data;

[0157] The electromagnetic characteristic data include reflection coefficient, impedance characteristic and frequency loss characteristic data.

[0158] Specifically, the multi-frequency electromagnetic wave detection device includes an electromagnetic wave transmitting unit, a signal receiving unit and a data processing unit, which are used to transmit multi-band electromagnetic waves, receive echo signals and analyze electromagnetic characteristic data; the calibration is performed by detecting and adjusting the output frequency of the transmitting unit, the signal strength of the receiving unit and the analysis accuracy of the data processing unit to ensure that the performance of the device in different frequency bands meets the detection requirements.

[0159] Receive the echo signal, analyze the amplitude, phase and time delay characteristics of the echo signal, and calculate the spatial distribution characteristics of the repair area and adjacent areas based on the time delay characteristics of the echo signal;

[0160] Specifically, "calculating the spatial distribution characteristics of the repair area and adjacent areas" adopts the time domain reflection method, which transmits electromagnetic pulse signals to the repair area and adjacent areas, measures the time delay characteristics of the echo signal, and calculates the propagation distance and spatial position of the echo signal in combination with the propagation speed of the electromagnetic wave in the medium, thereby obtaining the spatial distribution characteristics of the repair area and adjacent areas.

[0161] De-noise the extracted electromagnetic characteristic data, and locate the specific location of the changes in spatial distribution characteristics in the repair area and adjacent areas by comparing with the baseline data before repair;

[0162] Among them, noise processing includes removing high-frequency interference signals through low-pass filtering; using wavelet transform to decompose echo signals and performing threshold noise reduction on signals in different frequency bands; using adaptive filtering algorithms to eliminate environmental noise interference; and restoring effective signals through signal enhancement technology to ensure that the extracted electromagnetic characteristic data accurately reflects the true distribution characteristics of the repair area and adjacent areas.

[0163] Use frequency domain analysis and time domain analysis to quantitatively analyze the electromagnetic characteristics of the repair area and adjacent areas to evaluate the material compatibility of the repair point;

[0164] Specifically, the electromagnetic characteristics of the repaired area and adjacent areas are quantitatively analyzed using frequency domain analysis and time domain analysis. First, the frequency components of the echo signal are decomposed by Fourier transform in the frequency domain, and the frequency domain characteristics such as reflection coefficient, attenuation coefficient and harmonic component are extracted to analyze the response of the material to electromagnetic waves of different frequencies. Then, the spatial distribution characteristics and conductivity changes of the repaired area are calculated by analyzing the time delay, amplitude change and attenuation rate of the echo signal in the time domain. Combining the analysis results of the frequency domain and time domain, the deviation value of the electromagnetic characteristics of the repair point is quantified and compared with the electromagnetic characteristics of the unrepaired part of the adjacent area, so as to judge the compatibility of the repair material with the raw material in terms of conductivity, reflection characteristics and energy transfer characteristics.

[0165] To go further, let's take an example: for example, when evaluating the material compatibility of a repair point of an aluminum alloy conductor, the reflection coefficient and attenuation coefficient of the echo signal in multiple frequency bands are first extracted through frequency domain analysis. It is found that the attenuation coefficient of the repair point in the high frequency band is slightly higher than that of the adjacent unrepaired area, indicating that there may be local conductivity differences in the repair material; at the same time, a slight offset is observed in the time delay characteristics of the repair point in the time domain analysis, indicating that the electromagnetic wave propagation speed has changed, which may be due to the electromagnetic characteristics of the repair material being not completely consistent with the raw material. By combining the analysis results of the frequency domain and time domain, the conductivity deviation and energy loss of the repair point are calculated, and finally the compatibility evaluation conclusion of the repair material is obtained, and it is recommended whether the repair process or material selection needs to be optimized.

[0166] Integrate the analysis results and generate an operational performance verification report.

[0167] Specifically, when integrating the analysis results, the electromagnetic characteristic data (such as reflection coefficient, impedance characteristics, frequency loss and time delay characteristics) extracted by frequency domain analysis and time domain analysis in the early stage are compared with the baseline data before repair, and the amplitude and spatial distribution of the electromagnetic characteristics of the repair area and adjacent areas are statistically analyzed to clarify the material compatibility, conductivity recovery and energy transfer efficiency of the repair point. At the same time, the abnormal characteristic points in the repair area are marked, and the operation performance verification report is generated in combination with these analysis results. The report content includes the electromagnetic characteristic parameters of the repair area, the operation performance evaluation conclusions and optimization suggestions to ensure that the repair quality meets the expected standards.

[0168] Preferably, the generated operation performance verification report can provide a comprehensive evaluation of the electromagnetic performance changes and repair effects of the repair area and adjacent areas, help quickly determine whether the repair point meets the operation requirements, and provide key data support for subsequent maintenance; for example, the report can clarify whether the compatibility of the repair material meets the design standards, avoid electrical failures caused by material mismatch, and improve the long-term operation reliability of the line. In addition, the report can also provide a basis for optimizing the repair process and material selection, thereby improving the efficiency and accuracy of subsequent maintenance.

[0169] This embodiment also provides a computer device, which is suitable for the case of a rapid maintenance method for distribution lines, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the rapid maintenance method for distribution lines proposed in the above embodiment.

[0170] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0171] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for realizing rapid maintenance of distribution lines as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0172] In summary, the present invention realizes high-precision positioning and intelligent repair of distribution line faults through multi-frequency electromagnetic wave detection and three-dimensional fault modeling, greatly improving the efficiency of diagnosis and repair; uses echo signals to extract electromagnetic characteristic data and generate a three-dimensional fault location map, accurately identifying the spatial position, geometric characteristics and material distribution of the fault point, and providing precise support for repair; based on the fault characteristics, electric field guidance technology is used to dynamically control the flow path of liquid metal, realize accurate filling and solidification repair of the fault area, and ensure the uniform distribution of liquid metal through finite element simulation to improve the quality of repair; after the repair is completed, multi-frequency electromagnetic waves are used for secondary detection to verify the performance of the repair point and adjacent areas, verify the geometric characteristics, material compatibility and conductive properties, build a closed-loop feedback mechanism, reduce the risk of secondary faults, significantly improve the efficiency and safety of distribution line operation and maintenance, reduce the difficulty of manual intervention, and have broad application value and economic advantages.

[0173] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for rapid maintenance of power distribution lines, characterized in that: include, The multi-frequency electromagnetic wave detection device transmits multi-frequency electromagnetic waves to the distribution line, receives echo signals, and extracts the electromagnetic characteristic data of the line; Perform hierarchical analysis on electromagnetic characteristic data and generate preliminary fault reports; Based on the preliminary fault report and the characteristics of the echo signal, a three-dimensional fault location map is constructed and the fault location data is output; Based on the fault location data, the geometric characteristics of the fault area and the distribution of liquid metal inside the conductor are analyzed to generate a repair suggestion report; Based on the repair recommendation report, the electric field is used to guide the liquid metal to flow to the fault point to fill and solidify the fault area for repair; After the repair is completed, the repair area and adjacent areas are secondary inspected using multi-frequency electromagnetic waves to verify the operating characteristics of the repair point and adjacent areas.

2. The method for rapid maintenance of power distribution lines according to claim 1, characterized in that: The receiving echo signal and extracting the electromagnetic characteristic data of the line are specifically performed in the following steps: Calibrate the multi-frequency electromagnetic wave detection device, and after calibration, emit multi-frequency electromagnetic waves to the power distribution line; synchronously receiving the amplitude, phase and delay characteristics of the echo signal using a receiving device; De-noising the amplitude, phase and delay characteristics of the received echo signal, and extracting the amplitude and phase data of each frequency band; Calculate the reflection coefficient, impedance characteristics and frequency loss characteristics of the line through the amplitude and phase data of each frequency band; Calculate the spatial distribution characteristics of the distribution line based on the time delay characteristics of the echo signal; Integrate reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics to generate electromagnetic characteristic data of distribution lines.

3. The method for rapid maintenance of power distribution lines according to claim 2, characterized in that: The electromagnetic characteristic data is analyzed in layers to generate a preliminary fault report. The specific steps are as follows: Format, denoise and normalize electromagnetic characteristic data; Analyze the reflection coefficient, impedance characteristics, frequency loss characteristics and spatial distribution characteristics of the processed electromagnetic characteristic data, and mark the characteristic change points; Calculate the spatial position of the fault point based on the characteristic change point combined with the time delay characteristics of the echo signal; Perform frequency response on the amplitude and phase data of different frequency bands and extract the fault characteristic frequency band; The characteristic change point, the spatial position of the fault point and the fault characteristic frequency band are integrated to generate a fault characteristic vector; Perform feature matching between the fault feature vector and the fault history data to identify the fault type; Generate a preliminary fault report based on the fault type.

4. The method for rapid maintenance of power distribution lines according to claim 3, characterized in that: The three-dimensional fault location map is constructed based on the characteristics of the preliminary fault report and the echo signal, and the fault location data is output. The specific steps are as follows: Extract the spatial location of the fault point, characteristic change point and fault characteristic frequency band from the preliminary fault report; The time domain, frequency domain and spatial characteristics of the echo signal are mapped into high-dimensional topological states, and the topological description is generated by the signal topological state distribution generation model. The expression is: ； in, is the topological characteristic function of the signal, represents the three-dimensional space position, is the lateral spatial coordinate in the distribution line, is the longitudinal spatial coordinate in the distribution line, is the vertical spatial coordinate of the distribution line, is the frequency of the electromagnetic wave, is the spatial integration domain, Indicates the position in three-dimensional space, the frequency The amplitude characteristics under Indicates the echo signal at frequency The phase characteristics under represents the second-order derivative of the amplitude characteristic, Indicates the amplitude characteristics According to frequency Perform two partial derivative operations, is a scalar field of three-dimensional position and frequency The phase characteristics of It represents the adjustment coefficient of the weight of the control phase characteristic in the topological characteristic function, It represents the adjustment coefficient of the weight of the topological characteristic function in controlling the time delay characteristic. Indicates the spatial position, the time delay varies with frequency The rate of change, is the spatial infinitesimal element; For topological characteristic functions Perform denoising processing; Use machine learning models to optimize topological characteristic functions and extract topological change characteristics of fault points; After optimization, the topological characteristic function In the above equation, the area with the largest topological change is identified, and the three-dimensional geometric characteristic components of the fault point are determined. The expression is: ； in, Represents the three-dimensional geometric characteristic components of the fault point, represents the spatial location of the fault point, represents the fault characteristic weight factor, represents the smoothing factor, Represents the gradient of the topological characteristic function; Based on the three-dimensional geometric characteristic components of the fault point, combined with the line material characteristics and the high-frequency components of the echo signal, the flow path and distribution state of the liquid metal near the fault point are analyzed, and the liquid metal distribution is output; Combine the spatial position of the fault point, the three-dimensional geometric characteristic components and the liquid metal distribution to generate a complete three-dimensional fault location map; The data of the three-dimensional fault location map is output as fault location data in a standardized format.

5. The method for rapid maintenance of power distribution lines according to claim 4, characterized in that: According to the fault location data, the geometric characteristics of the fault area and the distribution of liquid metal inside the conductor are analyzed to generate a repair suggestion report. The specific steps are as follows: Extract geometric characteristic data of the fault area in the three-dimensional fault location map; Based on the geometric characteristics of the fault area, the liquid metal distribution and flow path inside the conductor are analyzed, and the volume of the metal missing area is calculated; Determine the filling amount of liquid metal and the spatial coordinates of the filling starting point and ending point according to the missing volume and flow path of the metal; Combined with the fault area depth and liquid metal distribution, the intensity and coverage of the electric field guidance are calculated; According to the intensity and coverage of the electric field guidance and the geometric characteristics of the fault area, the curing temperature and curing pressure parameters in the repair process are calculated; Integrate the liquid metal filling volume, the intensity and coverage of the electric field guidance, as well as the solidification temperature and solidification pressure parameters, and generate a repair recommendation report.

6. The method for rapid maintenance of power distribution lines according to claim 5, characterized in that: The specific steps of calculating the strength and coverage of the electric field guidance by combining the fault area depth and liquid metal distribution are as follows: Use 3D scanning imaging to extract the depth and width data of the fault area and determine the spatial range of the electric field action area; The conductivity is measured by analyzing the liquid metal composition, and the response electric field distribution characteristics of the liquid metal are extracted by combining topological quantum state analysis to obtain the parameters of the metal response electric field; Based on the geometric characteristic data of the fault area and the parameters of the metal response electric field, the intensity of the electric field guidance is calculated by Maxwell's equations; Combined with the spatial location of the fault area and the liquid metal flow path, the finite element method is used to simulate the electric field distribution and determine the coverage range.

7. The method for rapid maintenance of power distribution lines according to claim 6, characterized in that: Based on the repair suggestion report, the electric field is used to guide the liquid metal to flow to the fault point, and the fault area is filled and solidified for repair. The specific steps are as follows: Extract the geometric characteristics of the fault area and the liquid metal filling requirements in the repair recommendation report, and determine the electrode position and electric field strength parameters; Arrange electrodes according to electrode position and electric field strength parameters, adjust voltage and electrode spacing, and form a liquid metal guiding path; The liquid metal is heated to a working temperature above the melting point by an injection device and then injected into the area between the electrodes, and the heated liquid metal is guided to flow to the fault point by an electric field; Monitor the liquid metal flow path and adjust the electric field strength and direction to ensure that the liquid metal is evenly filled into the fault area; After the liquid metal filling is completed, local heating is applied to the fault area to solidify the filled metal material.

8. The method for rapid maintenance of power distribution lines according to claim 7, characterized in that: After the repair is completed, the repair area and adjacent areas are secondary inspected by multi-frequency electromagnetic waves to verify the operating characteristics of the repair point and adjacent areas. The specific steps are as follows: Calibrate the multi-frequency electromagnetic wave detection device, emit multi-frequency electromagnetic waves to the repair area and adjacent areas, and extract electromagnetic characteristic data; Receive the echo signal, analyze the amplitude, phase and time delay characteristics of the echo signal, and calculate the spatial distribution characteristics of the repair area and adjacent areas based on the time delay characteristics of the echo signal; De-noise the extracted electromagnetic characteristic data, and locate the specific location of the changes in spatial distribution characteristics in the repair area and adjacent areas by comparing with the baseline data before repair; Use frequency domain analysis and time domain analysis to quantitatively analyze the electromagnetic characteristics of the repair area and adjacent areas to evaluate the material compatibility of the repair point; Integrate the analysis results and generate an operational performance verification report.

9. 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 for rapid maintenance of distribution lines described in any one of claims 1 to 8 are implemented.

10. 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 for rapid maintenance of distribution lines described in any one of claims 1 to 8 are implemented.

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