Mountainous area power transmission line forest fire fault positioning method

Abstract

The invention relates to a mountain fire fault positioning method and device for a power transmission line in a mountainous area, computer equipment, a computer readable storage medium and a computer program product, which can be applied to the technical field of electric power. The method comprises the following steps: collecting simulation transient waveform information of a simulation fault point through a fault transient waveform detection device; generating a time-frequency transient energy simulation matrix of the simulation fault point; acquiring actual transient waveform information of a to-be-positioned fault point through a fault transient waveform detection device; generating a time-frequency transient energy actual matrix of the fault point to be positioned; performing matching processing on the time-frequency transient energy actual matrix and the time-frequency transient energy simulation matrix of the simulation fault point; selecting two target fault points from the simulated fault points, and determining a line section between the two target fault points as a fault line section of the power transmission line; and determining position information of an actual fault point corresponding to the to-be-positioned fault point in the fault line section. By adopting the method, the fault positioning efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for locating mountain fire faults on power transmission lines in mountainous areas. Background Art

[0002] With the development of power system technology, transmission line fault location has become an important part of ensuring the stable operation of the power system. Therefore, how to efficiently locate transmission line faults has become an important research direction.

[0003] Traditional technology usually locates transmission line faults through manual inspections; however, this method requires a lot of manual processing time, resulting in low efficiency in fault location. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for locating mountain fire faults on power transmission lines in mountainous areas, which can improve the efficiency of fault location, in order to address the above technical problems.

[0005] In a first aspect, the present application provides a method for locating mountain fire faults on power transmission lines in mountainous areas. The method comprises:

[0006] Determine a plurality of simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points by means of a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0007] Generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information;

[0008] Constructing a database including a time-frequency transient energy simulation matrix of the simulated fault point;

[0009] In the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located in the transmission line is collected by the fault transient waveform detection device;

[0010] Generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0011] Matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0012] According to the matching information, two target fault points are selected from the simulated fault points, and a line section between the two target fault points is determined as a fault line section of the transmission line;

[0013] According to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section.

[0014] In one of the embodiments, the determining of the position information of the actual fault point corresponding to the fault point to be located in the fault line section according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points includes:

[0015] Determine the time-frequency transient energy intensity deviation superposition value between the time-frequency transient energy actual matrix and the time-frequency transient energy simulation matrix of the two target fault points;

[0016] According to the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviations, the location information of the actual fault point is determined in the fault line section.

[0017] In one embodiment, determining the location information of the actual fault point in the fault line section according to the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviations includes:

[0018] Determining the distance information between the actual fault point and the target fault point according to the ratio information between the time-frequency transient energy intensity deviation superposition values;

[0019] According to the distance information, the location information of the actual fault point is determined in the fault line section.

[0020] In one embodiment, selecting two target fault points from the simulated fault points according to the matching information includes:

[0021] According to the matching information, two target time-frequency transient energy simulation matrices having the highest matching degree with the actual time-frequency transient energy matrix are selected from the time-frequency transient energy simulation matrix of the simulated fault point;

[0022] From the simulated fault points, two simulated fault points corresponding to the two target time-frequency transient energy simulation matrices are selected as the two target fault points.

[0023] In one embodiment, matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information includes:

[0024] Performing difference identification between the actual time-frequency transient energy matrix and the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain difference information;

[0025] The matching information is determined according to the difference information.

[0026] In one embodiment, the method further comprises:

[0027] Determining the fault line section as a section to be protected of the transmission line;

[0028] The section to be protected is protected.

[0029] In a second aspect, the present application also provides a device for locating mountain fire faults in a power transmission line in a mountainous area. The device comprises:

[0030] A first acquisition module, used for determining a plurality of simulated fault points on the transmission line, and acquiring simulated transient waveform information of the simulated fault points through a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0031] A first generating module, used for generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information;

[0032] A data construction module, used to construct a database containing a time-frequency transient energy simulation matrix of the simulated fault point;

[0033] A second acquisition module is used to acquire actual transient waveform information of the fault point to be located of the transmission line through the fault transient waveform detection device when a fault occurs on the transmission line;

[0034] A second generating module is used to generate the actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0035] A matrix matching module, used for matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0036] A section determination module, configured to select two target fault points from the simulated fault points according to the matching information, and determine the line section between the two target fault points as the fault line section of the transmission line;

[0037] A fault determination module is used to determine the position information of the actual fault point corresponding to the fault point to be located in the fault line section according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points.

[0038] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0039] Determine a plurality of simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points by means of a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0040] Generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information;

[0041] Constructing a database including a time-frequency transient energy simulation matrix of the simulated fault point;

[0042] In the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located in the transmission line is collected by the fault transient waveform detection device;

[0043] Generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0044] Matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0045] According to the matching information, two target fault points are selected from the simulated fault points, and a line section between the two target fault points is determined as a fault line section of the transmission line;

[0046] According to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section.

[0047] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0048] Determine a plurality of simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points by means of a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0049] Generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information;

[0050] Constructing a database including a time-frequency transient energy simulation matrix of the simulated fault point;

[0051] In the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located in the transmission line is collected by the fault transient waveform detection device;

[0052] Generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0053] Matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0054] According to the matching information, two target fault points are selected from the simulated fault points, and a line section between the two target fault points is determined as a fault line section of the transmission line;

[0055] According to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section.

[0056] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0057] Determine a plurality of simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points by means of a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0058] Generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information;

[0059] Constructing a database including a time-frequency transient energy simulation matrix of the simulated fault point;

[0060] In the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located in the transmission line is collected by the fault transient waveform detection device;

[0061] Generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0062] Matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0063] According to the matching information, two target fault points are selected from the simulated fault points, and a line section between the two target fault points is determined as a fault line section of the transmission line;

[0064] According to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section.

[0065] The above-mentioned mountainous power transmission line mountain fire fault location method, device, computer equipment, computer-readable storage medium and computer program product determine multiple simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points through a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line; based on the simulated transient waveform information, a time-frequency transient energy simulation matrix of the simulated fault point is generated; a database containing the time-frequency transient energy simulation matrix of the simulated fault point is constructed; in the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located of the transmission line is collected through the fault transient waveform detection device. Information; according to the actual transient waveform information, generate the actual time-frequency transient energy matrix of the fault point to be located; match the actual time-frequency transient energy matrix with the time-frequency transient energy simulation matrix of the simulated fault point in the database to obtain matching information; according to the matching information, select two target fault points from the simulated fault points, and determine the line section between the two target fault points as the fault line section of the transmission line; according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, determine the location information of the actual fault point corresponding to the fault point to be located in the fault line section. This scheme determines multiple simulated fault points on the transmission line and collects their transient waveform information to construct a database containing the time-frequency transient energy simulation matrix, which is conducive to establishing a reference benchmark for fault characteristics; when an actual fault occurs, the fault section range can be quickly narrowed by matching the time-frequency transient energy matrix of the actual fault point with the simulated fault point; further using the difference information between the matrices to locate the actual fault point is conducive to improving the efficiency and accuracy of fault location. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0067] Figure 1 A schematic diagram of a flow chart of a method for locating a mountain fire fault of a power transmission line in a mountainous area in an embodiment;

[0068] Figure 2 A schematic diagram of a flow chart of a method for locating a mountain fire fault of a power transmission line in a mountainous area in another embodiment;

[0069] Figure 3 A schematic diagram of the structure of a power transmission line simulation model in one embodiment;

[0070] Figure 4 A schematic diagram of the result of superimposing the time-frequency transient energy intensity deviation trend in one embodiment;

[0071] Figure 5 A structural block diagram of a device for locating mountain fire faults of power transmission lines in a mountainous area in one embodiment;

[0072] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0073] 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.

[0074] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0075] In an exemplary embodiment, Figure 1 As shown, a method for locating mountain fire faults on power transmission lines in mountainous areas is provided. This embodiment uses the method applied to a terminal as an example for illustration; it is understandable that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be but is not limited to various personal computers, laptops, smart phones, tablet computers, etc.; the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. In this embodiment, the method includes the following steps:

[0076] Step S101, multiple simulated fault points are determined on the transmission line, and simulated transient waveform information of the simulated fault points is collected by a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line.

[0077] Step S102: Generate a time-frequency transient energy simulation matrix of a simulated fault point according to the simulated transient waveform information.

[0078] Step S103, constructing a database containing a time-frequency transient energy simulation matrix of a simulated fault point.

[0079] Step S104: when a fault occurs in the power transmission line, actual transient waveform information of the fault point to be located of the power transmission line is collected by a fault transient waveform detection device.

[0080] Step S105: generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information.

[0081] Step S106, matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information.

[0082] Step S107: Select two target fault points from the simulated fault points according to the matching information, and determine the line section between the two target fault points as the fault line section of the transmission line.

[0083] Step S108, determining the position information of the actual fault point corresponding to the fault point to be located in the fault line section according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points.

[0084] The simulated fault point may be a preset location on the transmission line where a simulated wildfire fault occurs. For example, the simulated fault point may be different fault locations set on the transmission line at certain distance intervals (such as 5 kilometers).

[0085] The fault transient waveform detection device may be a device installed at the head end of a power transmission line for collecting fault transient waveforms. For example, the fault transient waveform detection device may be a detection device for time-frequency transient waveforms.

[0086] The simulated transient waveform information may be transient signal data collected at a simulated fault point by a fault transient waveform detection device. For example, the simulated transient waveform information may be fault transient waveform data containing time domain and frequency domain information.

[0087] The time-frequency transient energy simulation matrix may be a high-dimensional matrix constructed based on simulated transient waveform information. For example, the time-frequency transient energy simulation matrix may be a matrix representing the time-frequency energy distribution of fault transient signals constructed using discrete wavelet transform.

[0088] The database may be a collection of time-frequency transient energy simulation matrices containing multiple simulated fault points. For example, the database may be a data set consisting of time-frequency transient energy simulation matrices of simulated fault points at multiple different locations and with different fault parameters.

[0089] The fault point to be located may be the location where a wildfire fault actually occurs on the transmission line. For example, the fault point to be located may be the actual fault occurrence point that needs to be located.

[0090] The actual transient waveform information may be transient signal data collected by a fault transient waveform detection device when an actual fault occurs. For example, the actual transient waveform information may be actual fault transient waveform data having the same time window and frequency window as the simulated transient waveform information.

[0091] Among them, the actual time-frequency transient energy matrix can be a high-dimensional matrix constructed according to the actual transient waveform information. For example, the actual time-frequency transient energy matrix can be a matrix representing the time-frequency energy distribution of the actual fault transient signal with the same structure as the time-frequency transient energy simulation matrix.

[0092] The matching information may be a result of a similarity comparison between an actual time-frequency transient energy matrix and a simulated time-frequency transient energy matrix in a database. For example, the matching information may be a calculated value of a correlation coefficient between the two matrices.

[0093] Among them, the target fault point can be the two simulated fault points that are most similar (most matching) to the fault point to be located, which are selected from the simulated fault points according to the matching information, that is, the target fault point can be the two simulated fault points that best match the fault point to be located, for example, the target fault point can be the two adjacent simulated fault points with the largest calculated correlation coefficient value.

[0094] The fault line section may be a portion of a transmission line between two target fault points, for example, the fault line section may be a line section where the actual fault point is located.

[0095] The difference information may be an energy intensity deviation between an actual time-frequency transient energy matrix and a time-frequency transient energy simulation matrix of two target fault points. For example, the difference information may be an energy intensity deviation superposition value used to calculate the actual fault point position.

[0096] The location information of the actual fault point may be the specific location of the fault point to be located determined in the fault line section.

[0097] Optionally, the terminal determines multiple simulated fault points on the transmission line according to a preset distance interval, and collects simulated transient waveform information of each simulated fault point through a fault transient waveform detection device set at the head end of the transmission line. The terminal processes the collected simulated transient waveform information, extracts the line mode α component therein, and intercepts the waveform data within the preset time window and frequency window. The terminal uses a discrete wavelet transform method to construct a time-frequency transient energy simulation matrix for each simulated fault point according to the processed simulated transient waveform information, and stores these matrices in a database. When an actual fault occurs in the transmission line, the terminal collects the actual transient waveform information of the fault point to be located through the fault transient waveform detection device, and generates the actual time-frequency transient energy matrix of the fault point to be located according to the same processing method. The terminal calculates the correlation coefficient between the actual time-frequency transient energy matrix and each time-frequency transient energy simulation matrix in the database to form a fault calculation vector. The terminal finds the two largest correlation coefficient values ​​from the fault calculation vector, and determines that the line section between the corresponding two simulated fault points is the fault line section. Finally, the terminal calculates the location of the actual fault point according to the energy intensity deviation between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrices of the two simulated fault points.

[0098] In the above-mentioned method for locating mountain fire faults of power transmission lines in mountainous areas, multiple simulated fault points are determined on the transmission line, and simulated transient waveform information of the simulated fault points is collected by a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line; according to the simulated transient waveform information, a time-frequency transient energy simulation matrix of the simulated fault point is generated; a database containing the time-frequency transient energy simulation matrix of the simulated fault point is constructed; in the event of a transmission line fault, the actual transient waveform information of the fault point to be located of the transmission line is collected by the fault transient waveform detection device; according to the actual transient waveform The actual time-frequency transient energy matrix of the fault point to be located is generated by using the shape information; the actual time-frequency transient energy matrix is ​​matched with the time-frequency transient energy simulation matrix of the simulated fault point in the database to obtain matching information; according to the matching information, two target fault points are selected from the simulated fault points, and the line section between the two target fault points is determined as the fault line section of the transmission line; according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section. This scheme determines multiple simulated fault points on the transmission line and collects their transient waveform information to construct a database containing the time-frequency transient energy simulation matrix, which is conducive to establishing a reference benchmark for fault characteristics; when an actual fault occurs, the fault section range can be quickly narrowed by matching the time-frequency transient energy matrix of the actual fault point with the simulated fault point; further using the difference information between the matrices to locate the actual fault point is conducive to improving the efficiency and accuracy of fault location.

[0099] In an exemplary embodiment, based on the difference information between the actual matrix of time-frequency transient energy and the time-frequency transient energy simulation matrix of two target fault points, it specifically includes the following contents: determining the superposition value of time-frequency transient energy intensity deviation between the actual matrix of time-frequency transient energy and the time-frequency transient energy simulation matrix of two target fault points; determining the location information of the actual fault point in the fault line section based on the ratio information between the superposition values ​​of time-frequency transient energy intensity deviation.

[0100] Among them, the superposition value of the time-frequency transient energy intensity deviation can be the cumulative result of the energy intensity deviation of each sampling point between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix. For example, the superposition value of the time-frequency transient energy intensity deviation can be two cumulative results calculated respectively from the actual fault point and the two target fault points.

[0101] The proportional information may be a proportional relationship between two time-frequency transient energy intensity deviation superposition values. For example, the proportional information may be a proportional coefficient used to calculate the distance from the actual fault point to one of the target fault points.

[0102] Optionally, the terminal calculates the energy intensity deviation between the actual matrix of the time-frequency transient energy and the time-frequency transient energy simulation matrix of the two target fault points. For example, the terminal subtracts the elements at corresponding positions in the actual matrix of the time-frequency transient energy and the time-frequency transient energy simulation matrix of the two target fault points to obtain the energy intensity deviation of each sampling point. The terminal then accumulates the energy intensity deviations of all sampling points to obtain the superposition value of the time-frequency transient energy intensity deviation. The terminal calculates the superposition value of the time-frequency transient energy intensity deviation between the actual fault point and the two target fault points respectively, and determines the specific position of the actual fault point between the two target fault points based on the proportional relationship between the two superposition values.

[0103] The technical solution provided in this embodiment calculates the superposition value of energy intensity deviation between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of two target fault points, and utilizes the proportional relationship between the two superposition values, which is conducive to accurately locating the actual fault point within the determined fault line section, thereby facilitating improving the accuracy of locating mountain fire faults of power transmission lines in mountainous areas.

[0104] In an exemplary embodiment, the location information of the actual fault point is determined in the fault line section according to the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviations, which specifically includes the following contents: according to the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviations, the distance information between the actual fault point and the target fault point is determined; according to the distance information, the location information of the actual fault point is determined in the fault line section.

[0105] The distance information may be the distance between the actual fault point and the target fault point. For example, the distance information may be a calculated distance value from the actual fault point to one of the target fault points.

[0106] Optionally, the terminal calculates the distance from the actual fault point to one of the target fault points based on the ratio information between the time-frequency transient energy intensity deviation superposition values ​​and the known distance between the two target fault points. The terminal determines the specific location of the actual fault point in the faulty line section based on the calculated distance information.

[0107] The technical solution provided in this embodiment calculates the superposition value of the time-frequency transient energy intensity deviation between the actual fault point and the two target fault points, and uses the proportional relationship between the two superposition values ​​to determine the distance between the actual fault point and the target fault point, which is conducive to accurately and efficiently locating the actual fault point within the determined fault line section.

[0108] In an exemplary embodiment, two target fault points are selected from the simulated fault points based on the matching information, specifically including the following contents: based on the matching information, two target time-frequency transient energy simulation matrices with the highest matching degree between the time-frequency transient energy actual matrix are selected from the time-frequency transient energy simulation matrix of the simulated fault point; and two simulated fault points corresponding to the two target time-frequency transient energy simulation matrices are selected from the simulated fault points as the two target fault points.

[0109] The matching degree may be the similarity between the actual matrix of the time-frequency transient energy and the simulated matrix of the time-frequency transient energy.

[0110] The target time-frequency transient energy simulation matrices may be the two time-frequency transient energy simulation matrices that have the highest matching degree with the actual time-frequency transient energy matrices.

[0111] Among them, the target fault point can be a simulated fault point corresponding to the target time-frequency transient energy simulation matrix. For example, the target fault point can be two adjacent simulated fault points i and i+1 (where i can be represented as the serial number of the simulated fault point) with the largest calculated correlation coefficient.

[0112] Optionally, the terminal calculates the correlation coefficient between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of all simulated fault points in the database based on the matching information to form a fault calculation vector. The terminal selects the two elements with the largest correlation coefficient from the fault calculation vector, and determines the two time-frequency transient energy simulation matrices corresponding to the two elements as the target time-frequency transient energy simulation matrices. The terminal further selects two simulated fault points corresponding to the two target time-frequency transient energy simulation matrices from the simulated fault points, and uses the two simulated fault points as the two target fault points.

[0113] The technical solution provided in this embodiment calculates the correlation coefficient between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of all simulated fault points, and selects the two adjacent simulated fault points with the highest matching degree as the target fault points, which is conducive to quickly determining the line section where the actual fault point is located.

[0114] In an exemplary embodiment, the actual time-frequency transient energy matrix is ​​matched with the time-frequency transient energy simulation matrix of the simulated fault point in the database to obtain matching information, which specifically includes the following contents: the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the simulated fault point in the database are matched to obtain the difference information; the matching information is determined based on the difference information.

[0115] The difference degree identification may be to calculate the difference degree between the actual matrix of time-frequency transient energy and the simulated matrix of time-frequency transient energy. For example, the difference degree identification may be to calculate the correlation coefficient between the two matrices.

[0116] The difference information may be a calculation result of the difference between the actual time-frequency transient energy matrix and the simulated time-frequency transient energy matrix. For example, the difference information may be a calculated value of a correlation coefficient.

[0117] Optionally, the terminal calculates the correlation coefficient between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of all simulated fault points in the database to obtain difference information. For example, the terminal calculates the correlation coefficient between the actual time-frequency transient energy matrix and each time-frequency transient energy simulation matrix to form difference information containing all correlation coefficients. The terminal determines the matching information based on the calculated difference information.

[0118] The technical solution provided in this embodiment obtains difference information by calculating the correlation coefficient between the actual matrix of time-frequency transient energy and the simulation matrix of time-frequency transient energy of all simulated fault points in the database, and then determines the matching information, which is conducive to quickly identifying the simulated fault point that is most similar to the actual fault, thereby facilitating accurate judgment of the faulty line section and achieving rapid protection.

[0119] In an exemplary embodiment, the method further includes: determining the faulty line section as a section to be protected of the transmission line; and performing protection processing on the section to be protected.

[0120] The fault line section may be a specific area where a wildfire fault occurs on the transmission line.

[0121] The section to be protected may be a portion of a power transmission line that needs to be protected. For example, the section to be protected may be a line section that is determined to have a wildfire fault.

[0122] The protection process may be a measure taken to prevent the fault from expanding or causing greater losses. For example, the protection process may be to trip the faulty line section to isolate it from the power grid.

[0123] Optionally, the terminal determines the line section between the two simulated fault points i and i+1 corresponding to the two largest elements in the fault calculation vector as the section to be protected of the transmission line. The terminal then issues a trip command to the section to be protected to isolate the section from the power grid to prevent the fault from expanding or causing greater losses.

[0124] The technical solution provided in this embodiment, by setting the determined fault line section as the section to be protected and performing protection processing, is conducive to quickly isolating the fault area and preventing the fault from expanding, thereby helping to improve the safety of the power grid, reduce the losses caused by wildfires, and achieve precise protection of power transmission lines in mountainous areas.

[0125] The following is an application example to illustrate the method for locating mountain fire faults in power transmission lines in mountainous areas provided by the present application. This application example uses the method applied to a terminal as an example.

[0126] Overhead transmission lines are generally located in mountainous areas with dense vegetation and few people. The high temperature, high conductivity, and ash generated by wildfires significantly reduce the air insulation strength of overhead lines, causing line faults and tripping. On the other hand, once trees are bent, broken, or fallen due to strong winds, ice, and other disaster weather, it is easy to form a fire source due to discharge of contact wires, which in turn causes major forest fires. If the transmission line can be quickly protected and the fault location can be accurately determined after a wildfire occurs in the transmission line, this can not only reduce the burden of line patrol and line maintenance for staff, but also reduce the hidden dangers of wildfires caused by transmission lines and the losses caused by power outages to the overall economy. Therefore, fast and accurate grid protection and positioning are of great significance to the safety, stability, and economic operation of the power system.

[0127] Transmission line fault protection and location methods include traveling wave method and natural frequency method. The positioning and distance protection method based on the traveling wave principle needs to detect the first and second traveling wave heads transmitted, and accurately identifying the second traveling wave head is the key. However, due to the complex line structure of mountain transmission lines, the wave head type and time information are difficult to distinguish and identify. In addition, the propagation time difference between line mode and zero mode traveling waves is used to distinguish internal and external faults and calculate the fault distance. The appearance of zero mode components is related to the fault type. Various methods using modulus are not valid for non-ground faults. At the same time, the method has poor robustness to zero mode wave velocity.

[0128] In addition, the main frequency difference of the natural frequency at both ends of the line is used to form the protection criterion to judge the internal and external faults. Complex wavelet and maximum modulus entropy are further used to extract the main frequency components of the natural frequency, and then the corresponding accurate wave velocity is determined to calculate the fault distance. This method avoids the difficulty of identifying the second wave head, but when the bus is connected to multiple outgoing lines, the main components of the spectrum are prone to aliasing and difficult to extract accurately. And when the fault location is far away, the high-frequency signal is severely attenuated, which may make it difficult for the protection to correctly distinguish between the line end fault and the opposite end bus fault.

[0129] This application example flexibly transforms the problem of mountainous transmission line fire fault protection and positioning into a time-frequency transient waveform similarity matching problem. It does not need to detect the arrival time, amplitude and polarity of the initial signal wave head, nor does it need to detect the transmission wave speed of different moduli. It is not limited by the sampling rate, which improves the reliability of mountainous transmission line fire fault protection and positioning to a certain extent, and realizes rapid protection and precise positioning of mountainous transmission line fire faults. Figure 2 , including: installing fault transient waveform detection device, setting simulated fault points, building time-frequency transient energy simulation matrix database, collecting actual fault transient waveforms, constructing time-frequency transient energy actual matrix, judging fault line section and protecting it, accurately locking the actual fault point location, and outputting fault protection and positioning results.

[0130] Specifically, this application example includes the following steps:

[0131] 1) The single-ended fault transient protection and positioning method does not require communication channels and signal synchronization, which reduces the investment cost. A fault transient waveform detection device is configured at the head end of the transmission line in the mountainous area;

[0132] 2) Set simulated fault points i with different fault locations at a certain interval of m kilometers on the transmission line in the mountainous area, and number the simulated fault points with the device installation position pointing to the line as the positive direction;

[0133] 3) Set a variety of wildfire fault types, transition resistance and initial phase angle parameters at each simulated fault point for batch measurement. The detection device collects transient waveforms of all simulated fault points, performs phase mode transformation to extract the line mode α component, and intercepts the time-frequency transient waveform with a time window of 0-0.5ms (milliseconds) and a frequency window of 20-100kHz (kilohertz) and uploads it to the protection positioning master station, and then constructs the time-frequency transient energy simulation matrix Q of the simulated fault point i i , forming a database Q, and at the same time, it is possible to collect fault forest fire data at the actual site, or collect historical actual fault data to supplement and improve the database, and establish a database that is as complete and close to reality as possible;

[0134] 4) After the actual fault F occurs, the detection device collects the actual fault transient waveform, performs phase mode transformation to extract the line mode α component, and intercepts the waveform with the same time window and frequency window as the simulated fault point and uploads it to the positioning master station, and then constructs the actual time-frequency transient energy matrix Q F ;

[0135] 5) Q F With all the Q in Q i Calculate the correlation coefficient to form the fault calculation vector P Fi , and get P Fi The largest two elements P(Q F , Q i ) and P(Q F , Q i+1 ), the section between the two corresponding simulated fault points i and i+1 is the fault line section, which realizes the rapid protection of the line from wildfire faults;

[0136] 6) Calculate the distance d from the actual fault point F to the simulated fault point i based on the superposition value of the time-frequency transient energy intensity deviation between the actual fault point F and the simulated fault points i and i+1 F-i , the positioning process is completed, and the precise positioning of the wildfire fault is achieved.

[0137] Among them, in step 3), phase mode transformation is performed to extract the line mode α component because the α component is not severely attenuated during line transmission and is easy to extract; the time window adopts a shorter range of 0-0.5ms to improve the protection and positioning speed of the proposed technology; the frequency window adopts a range of 20-100kHz to avoid the influence of a large amount of low-frequency normal transient interference on mountain transmission lines on the protection and positioning accuracy.

[0138] Among them, in step 5), P (Q F , Q i ) are two matrices Q F and Q i The correlation coefficient between them ranges from [0 to 1]. F , Q i ) is close to 1, indicating that the overall similarity of the two matrices is strong; when P(Q F , Q i ) is close to 0, it means that the overall similarity of the two matrices is weak.

[0139] In step 6), calculate Q F With Q i and Q i+1 The distance d from the actual fault point F to the simulated fault point i is obtained based on the proportional relationship between the time-frequency transient energy intensity deviation superposition values. F-i .

[0140] The following is a further description of this application example:

[0141] When a mountain fire fault occurs at any point of a transmission line in a mountainous area, the fault transient waveform measured at a single end can be represented by a unique time-frequency transient energy waveform diagram, whether from the time domain or the frequency domain. Based on this, a high-dimensional time-frequency transient energy matrix of the fault transient signal can be constructed, and the similarity between different matrices can be calculated to achieve the similarity representation between transient waveforms at different fault locations, thereby more intuitively completing the similarity matching between the fault location and the time-frequency transient energy waveform.

[0142] Based on this, when a mountain fire fault occurs at any point F of the mountain transmission line, the time domain fault transient waveform within 0-0.5ms and the frequency domain fault transient waveform within 20-100kHz of the detection device are intercepted respectively. Let the number of sampling points of the time domain waveform be X, and the number of sampling points of the frequency domain waveform be Y, and the time-frequency energy matrix of the mountain fire fault transient signal constructed by discrete wavelet transform is shown in formula (1):

[0143] (1)

[0144] Where: |q F xy | is the energy intensity corresponding to the xth time period at the yth frequency of the fault traveling wave.

[0145] For a certain mountain transmission line, simulated fault points i (i=0, 1, ... n) are set at different locations at a certain distance m kilometers. The detection device collects the time-frequency transient signal waveform of the 0-0.5ms time window and 20-100kHz frequency window of each simulated fault point of the line, and constructs the time-frequency transient energy matrix Q of each simulated fault point i , which constitutes the time-frequency transient signal waveform database Q of the mountain transmission line. The database can be expressed by formula (2).

[0146] (2)

[0147] refer to Figure 3 (including A end, B end, C end, D end, C s , Fault point F 1 , Fault point F 2 , Fault point F 3 , Fault point F 4 , 120 km, 60 km, 90 km), using PSCAD (power system simulation software) to build a 500kV mountain transmission line simulation model, in which a mountain fire fault transient signal detection device is installed at the head end (A end) of the line, with a sampling frequency of 50kHz, C s is the equivalent capacitance of the busbar system at each end to the ground. The length of each line section has been Figure 3 The winning bid will Figure 3 As shown in the figure, mountainous area transmission lines are provided with simulated mountain fire fault points at intervals of 5 km, with a total of 55 simulated fault points. At each simulated fault point, mountain fire fault parameters are set as shown in Table 1 to establish a database Q.

[0148] Table 1 (Database wildfire fault parameter table)

[0149]

[0150] Among them, AG, BG, AC, BCG, and ABC represent different types of wildfire fault types respectively.

[0151] The actual time-frequency transient energy matrix Q F The time-frequency transient energy simulation matrix Q in the database i By performing difference recognition, the waveform matrix correlation coefficient expression is obtained as shown in formula (3):

[0152] (3)

[0153] Where: P (Q F , Q i ) is the correlation coefficient between the two matrices, and its value range is [0, 1]. F , Q i ) is close to 1, indicating that the overall similarity of the two matrices is strong; when P(Q F , Q i ) is close to 0, it means that the overall similarity of the two matrices is weak.

[0154] Based on this, in the actual time-frequency transient energy matrix Q F Respectively with each time-frequency transient energy simulation matrix Q in the database i The fault calculation vector P is formed during the comparison process Fi As shown in formula (4):

[0155] (4)

[0156] Combined with the unique matching principle of one-to-one correspondence between the fault location and the time-frequency transient signal waveform, it can be seen that there are always two adjacent time-frequency transient energy simulation matrices Q in the database i and Q i+1 , and the actual time-frequency transient energy matrix Q F P(Q F , Q i ) and P(Q F , Q i+1 ) is the vector P FiThe largest two element values ​​in , that is, the actual wildfire fault point F is located between the simulated wildfire fault points i and i+1, thereby realizing the fault line section determination and completing the rapid protection of the wildfire fault line.

[0157] exist Figure 3 Three actual wildfire fault points are set in the simulation model: Fault F is set at 25.5 km from end A on line AB. 1 ; Set up fault F at line AB 91.5 km from end A 2 ; Set up a fault F at line MN 27km away from M end 3 The fault parameters of the three wildfire fault points are consistent, all of which are A-phase grounding faults, with a transition resistance of 100Ω and a fault initial phase angle of 30°. The time-frequency transient signal waveforms of the three wildfire fault points are collected respectively, and then the actual time-frequency transient energy matrix Q is constructed. F1 , Q F2 and Q F3 and with all Q in Q i The correlation coefficients were calculated and the protection results of three wildfire faults were obtained as shown in Table 2.

[0158] Table 2 (Protection and location results of different wildfire fault points)

[0159]

[0160] Take the fault point F 1 As an example, we can further obtain the fault calculation vector P F1 The largest two elements P(Q F1 , Q 5 ) and P(Q F1 , Q 6 ) are 0.9986 and 0.9314 respectively, then the fault line section between the simulated fault points 5 and 6 is located, and the line AB protection trips. It is worth mentioning that the total time from data collection to data extraction to protection action does not exceed 10ms.

[0161] From formula (1), we can see that the time-frequency transient energy matrix used to calculate the correlation coefficient is mainly determined by the energy intensity of the transient signal waveform sampling point. Obviously, the relationship between the waveform energy intensity and the fault distance can be used to accurately locate the wildfire fault point. Define the actual time-frequency transient energy matrix Q F The time-frequency transient energy simulation matrix Q in the database i The energy intensity deviation W between the sampling points in row x and column y is F-i xy It can be expressed by formula (5).

[0162] (5)

[0163] Where: |q F xy |and|q i xy | are matrices Q F and the matrix Q i The value of the element in the xth row and yth column of . Calculate the wildfire fault point F 1 And simulated fault point 5, wildfire fault point F 1 The superposition trend of the time-frequency transient energy intensity deviation between the simulated fault point 6 is shown in the following figure. Figure 4 As shown ( Figure 4 Includes: 0, 2.5×10 5 , 5×10 5 , 7.5×10 5 , 10×10 5 , 12.5×10 5 The superposition value of equal energy intensity deviation / dB, the number of superposition of equal energy intensity deviation of 1000, 2000, 3000, 4000, 5000, 6000, the X coordinate of 5001, the Y coordinate of 1014920, and the Y coordinate of 118323). It can be found that the mountain fire fault point F 1 The time-frequency transient energy intensity deviation superposition speed between the simulated fault point 5 is faster than that of the wildfire fault point F. 1 The transient energy intensity between the fault points and the simulated fault point 6 is slower, and when superimposed to the last sampling point, a certain proportional relationship is satisfied between the transient energy intensity between the fault points and the fault distance, as shown in formula (6).

[0164] (6)

[0165] Where: and They are respectively the mountain fire fault point F 1 And simulated fault point 5, wildfire fault point F 1 The superposition value of the time-frequency transient energy intensity deviation between the simulated fault point 6; d F1-5 and d F1-6 They are respectively the mountain fire fault point F 1 And simulated fault point 5, wildfire fault point F 1 and the distance between simulated fault point 6.

[0166] Therefore, according to formula (5), the time-frequency transient energy intensity deviation superposition value between the actual wildfire fault point F and the simulated fault points i and i+1 is calculated: and , combined with formula (6) to calculate the distance d from the actual wildfire fault point F to the simulated fault point i F-i It can be expressed by formula (7).

[0167] (7)

[0168] The positioning results of the three wildfire faults are also shown in Table 2. 1 The distance between the simulated fault point 5 and the F1-5 =5×118323 / (118323+1014920)=0.5221km, so the fault distance from F to the head end A is 25.5221km, and the positioning error is 22.1m. It can be seen that the simulation results are consistent with the theoretical analysis. The proposed method has high positioning accuracy. It does not need to detect the arrival time, amplitude and polarity of the initial signal wave head, nor does it need to detect the transmission wave speed of different moduli. It is not limited by the sampling rate, and the positioning error does not exceed 100m.

[0169] Different wildfire fault point parameters will affect the transient energy intensity generated. 1 The protection and positioning results of different wildfire fault types are shown in Table 3. 2 The fault type is set to AG and the initial phase angle is 30°. The positioning results are shown in Table 4. 3 The fault type is set to AG and the transition resistance is set to 100Ω for different initial phase angles of wildfire faults. The positioning results are shown in Table 5.

[0170] Table 3 (Protection and location results for different wildfire fault types)

[0171]

[0172] Table 4 (Protection and location results of different wildfire fault transition resistances)

[0173]

[0174] Table 5 (Protection and positioning results of different forest fire fault initial phase angles)

[0175]

[0176] It can be seen from Tables 3 to 5 that with the change of different wildfire fault parameters, the calculated value of the correlation coefficient changes only slightly. The reason is that the wildfire fault parameters mainly affect the magnitude of the fault transient energy intensity, and have little effect on the time-frequency transient energy waveform shape under certain fault conditions. Therefore, for wildfire faults with different parameters and locations in mountainous power transmission lines, the proposed method can accurately protect the fault line section and accurately locate the wildfire fault point. The protection time does not exceed 10ms and the positioning error does not exceed 100m (meters).

[0177] The beneficial effects of this application example are:

[0178] 1) Based on the matching relationship between waveform characteristics and fault locations, a time-frequency waveform database is constructed by simulating wildfire fault points multiple times. The time-frequency transient characteristic waveform of the actual wildfire fault is identified with the time-frequency transient characteristic waveform of the simulated wildfire fault in the database, and the mapping and matching between the transient characteristic difference and the wildfire fault location are completed to achieve rapid protection of wildfire faults. The proportional relationship between the waveform energy intensity deviation superposition trend and the fault point location is further explored to achieve accurate positioning of wildfire faults.

[0179] 2) The problem of mountainous power transmission line fire fault protection and positioning is flexibly converted into a time-frequency transient waveform similarity matching problem. There is no need to detect the arrival time, amplitude and polarity of the initial signal wave head, and there is no need to detect the transmission wave speed of different moduli. It is not limited by the sampling rate, which improves the robustness of mountainous power transmission line fire fault protection and positioning, and realizes rapid protection within 10ms and accurate positioning of mountainous power transmission line fire faults in 100 meters.

[0180] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned 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 does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can 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 to be 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.

[0181] Based on the same inventive concept, the embodiment of the present application also provides a mountain transmission line fire fault locating device for implementing the mountain transmission line fire fault locating 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 mountain transmission line fire fault locating device embodiments provided below can refer to the limitations of the mountain transmission line fire fault locating method above, and will not be repeated here.

[0182] In an exemplary embodiment, Figure 5 As shown, a device for locating mountain fire faults of power transmission lines in mountainous areas is provided. The device 500 for locating mountain fire faults of power transmission lines in mountainous areas may include:

[0183] The first acquisition module 501 is used to determine multiple simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points through a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line;

[0184] The first generating module 502 is used to generate a time-frequency transient energy simulation matrix of a simulated fault point according to the simulated transient waveform information;

[0185] A data construction module 503 is used to construct a database containing a time-frequency transient energy simulation matrix of a simulated fault point;

[0186] The second acquisition module 504 is used to acquire actual transient waveform information of the fault point to be located of the transmission line through a fault transient waveform detection device when a fault occurs in the transmission line;

[0187] The second generating module 505 is used to generate the actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information;

[0188] The matrix matching module 506 is used to match the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information;

[0189] The section determination module 507 is used to select two target fault points from the simulated fault points according to the matching information, and determine the line section between the two target fault points as the fault line section of the transmission line;

[0190] The fault determination module 508 is used to determine the position information of the actual fault point corresponding to the fault point to be located in the fault line section according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points.

[0191] In an exemplary embodiment, the fault determination module 508 is also used to determine the superposition value of the time-frequency transient energy intensity deviation between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points; based on the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviation, the location information of the actual fault point is determined in the fault line section.

[0192] In an exemplary embodiment, the fault determination module 508 is also used to determine the distance information between the actual fault point and the target fault point based on the ratio information between the time-frequency transient energy intensity deviation superposition values; and determine the location information of the actual fault point in the fault line section based on the distance information.

[0193] In an exemplary embodiment, the section determination module 507 is also used to select, from the time-frequency transient energy simulation matrix of the simulated fault point, two target time-frequency transient energy simulation matrices with the highest matching degree with the actual time-frequency transient energy matrix based on the matching information; and select, from the simulated fault point, two simulated fault points corresponding to the two target time-frequency transient energy simulation matrices as two target fault points.

[0194] In an exemplary embodiment, the matrix matching module 506 is further used to identify the difference between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the simulated fault point in the database to obtain difference information; and determine the matching information based on the difference information.

[0195] In an exemplary embodiment, the device 500 further includes: a section processing module, configured to determine the faulty line section as a section to be protected of the transmission line; and perform protection processing on the section to be protected.

[0196] Each module in the above-mentioned mountain transmission line fire fault location device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0197] 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 6As 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 realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for locating a mountain fire fault of a power transmission line in a mountainous area is realized. 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.

[0198] Those skilled in the art will understand that Figure 6 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.

[0199] In an exemplary embodiment, a computer device is further 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.

[0200] In an exemplary 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.

[0201] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0202] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 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), magnetoresistive 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, etc., but are not limited to this.

[0203] 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 specification.

[0204] The above-described 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 method for locating mountain fire faults of power transmission lines in mountainous areas, characterized in that: The method comprises: Determine a plurality of simulated fault points on the transmission line, and collect simulated transient waveform information of the simulated fault points by means of a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line; Generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information; Constructing a database including a time-frequency transient energy simulation matrix of the simulated fault point; In the event of a fault in the transmission line, the actual transient waveform information of the fault point to be located in the transmission line is collected by the fault transient waveform detection device; Generating an actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information; Matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information; According to the matching information, two target fault points are selected from the simulated fault points, and a line section between the two target fault points is determined as a fault line section of the transmission line; According to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, the position information of the actual fault point corresponding to the fault point to be located is determined in the fault line section.

2. The method according to claim 1, characterized in that The determining, in the fault line section, the position information of the actual fault point corresponding to the fault point to be located according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points, comprises: Determine the time-frequency transient energy intensity deviation superposition value between the time-frequency transient energy actual matrix and the time-frequency transient energy simulation matrix of the two target fault points; According to the ratio information between the superposition values ​​of the time-frequency transient energy intensity deviations, the location information of the actual fault point is determined in the fault line section.

3. The method according to claim 2, characterized in that The determining the location information of the actual fault point in the fault line section according to the ratio information between the time-frequency transient energy intensity deviation superposition values ​​includes: Determining the distance information between the actual fault point and the target fault point according to the ratio information between the time-frequency transient energy intensity deviation superposition values; According to the distance information, the location information of the actual fault point is determined in the fault line section.

4. The method according to claim 1, characterized in that: The selecting two target fault points from the simulated fault points according to the matching information includes: According to the matching information, two target time-frequency transient energy simulation matrices having the highest matching degree with the actual time-frequency transient energy matrix are selected from the time-frequency transient energy simulation matrix of the simulated fault point; From the simulated fault points, two simulated fault points corresponding to the two target time-frequency transient energy simulation matrices are selected as the two target fault points.

5. The method according to claim 1, characterized in that The matching process of the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information includes: Performing difference identification between the actual time-frequency transient energy matrix and the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain difference information; The matching information is determined according to the difference information.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Determining the fault line section as a section to be protected of the transmission line; The section to be protected is protected.

7. A device for locating mountain fire faults of power transmission lines in mountainous areas, characterized in that: The device comprises: A first acquisition module, used for determining a plurality of simulated fault points on the transmission line, and acquiring simulated transient waveform information of the simulated fault points through a fault transient waveform detection device; the fault transient waveform detection device is arranged at the head end of the transmission line; A first generating module, used for generating a time-frequency transient energy simulation matrix of the simulated fault point according to the simulated transient waveform information; A data construction module, used to construct a database containing a time-frequency transient energy simulation matrix of the simulated fault point; A second acquisition module is used to acquire actual transient waveform information of the fault point to be located of the transmission line through the fault transient waveform detection device when a fault occurs on the transmission line; A second generating module is used to generate the actual time-frequency transient energy matrix of the fault point to be located according to the actual transient waveform information; A matrix matching module, used for matching the actual time-frequency transient energy matrix with the simulated time-frequency transient energy matrix of the simulated fault point in the database to obtain matching information; A section determination module, configured to select two target fault points from the simulated fault points according to the matching information, and determine the line section between the two target fault points as the fault line section of the transmission line; A fault determination module is used to determine the position information of the actual fault point corresponding to the fault point to be located in the fault line section according to the difference information between the actual time-frequency transient energy matrix and the time-frequency transient energy simulation matrix of the two target fault points.

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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