A cable fault identification method, system, medium and device based on mutual inductor

Abstract

The present invention belongs to the field of cable fault identification. In order to solve the problem that the prior art lacks a continuous monitoring and evaluation mechanism for fault risks, a method, system, medium and device for cable fault identification based on a transformer are provided. Among them, the method for cable fault identification based on a transformer includes obtaining the circuit operation state parameters monitored by the transformer during the operation cycle, and then generating a circuit operation state parameter change trend diagram, calculating the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located, and then combining the harmonic content in the circuit operation state parameters for weighted averaging to evaluate the fault risk of the cable where the current circuit is located; comparing the fault risk of the cable where the current circuit is located with the corresponding preset fault judgment threshold, and then determining whether the cable where the current circuit is located has a fault, which can effectively maintain the operation safety of the circuit where the transformer is located.

Description

Technical Field

[0001] The present invention belongs to the field of cable fault identification, and in particular relates to a cable fault identification method, system, medium and equipment based on mutual inductor. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Instrument transformers are important equipment in power systems. Current transformers convert large currents into small currents in proportion, and voltage transformers convert high voltages into low voltages. Instrument transformers can achieve electrical isolation, ensure the safety of personnel and equipment, and are widely used in the field of power measurement and protection. The existing technology does not consider the circuit structure topology to optimize the deployment of transformers, cannot flexibly adjust the monitoring frequency according to the characteristics of different circuits, only focuses on a single parameter, and cannot comprehensively assess the risk of faults. Existing methods make it difficult to accurately determine whether a cable has a fault, especially for potential gradually deteriorating faults, and lack a continuous monitoring and assessment mechanism for fault risks. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a cable fault identification method, system, medium and equipment based on a transformer, which can effectively maintain the operation safety of the circuit where the transformer is located.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides a cable fault identification method based on a mutual inductor.

[0007] In one or more embodiments, a method for identifying cable faults based on a transformer is provided, comprising:

[0008] Obtain circuit structure parameters and construct circuit structure topology, and determine the number and location of transformers according to the circuit structure topology;

[0009] When the transformer is deployed in the circuit structure topology, the cable corresponding to the circuit of the transformer is identified, and the operation cycle of the transformer is set based on the complexity of the cable where the circuit is located;

[0010] Obtaining circuit operation status parameters monitored by the mutual inductor during the operation cycle, and then generating a circuit operation status parameter change situation diagram;

[0011] Based on the circuit operation status parameter change trend diagram, calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located, and then combine the harmonic content in the circuit operation status parameters to obtain the weighted average value to evaluate the fault risk of the cable where the current circuit is located;

[0012] The fault risk of the cable where the current circuit is located is compared with the corresponding preset fault judgment threshold to determine whether the cable where the current circuit is located has a fault.

[0013] As an implementation manner, the circuit structure parameters include: location information of both ends of the cable segment where the circuit is located and the transmission direction of the cable where the circuit is located.

[0014] As an implementation method, the process of constructing the circuit structure topology is:

[0015] Based on the position information of both ends of the cable segment where all the circuits are located in the circuit structure parameters, line segments of the cable where the circuits are located are drawn in the same three-dimensional coordinate system, and the drawn line segments are connected to each other to construct a circuit structure topology, and the transmission direction is marked with an arrow on the line segment of the cable where each circuit is located in the circuit structure topology.

[0016] As an implementation method, the number of transformer deployments is the upper integer of the weighted sum of the ratios of the distances between the two nearest groups of nodes to the distances between the two farthest groups of nodes on each line segment of the cable where the circuit is located; wherein the weight is the ratio of the number of nodes on the corresponding line segment of the cable where the circuit is located to a constant set greater than 1.

[0017] ;

[0018] Where: Deployment quantity of transformers; is the total number of line segments in the circuit structure topology; For the The number of nodes on the line segment of the cable where the group circuit is located; is a constant; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

[0019] As an implementation method, the complexity of the cable where the circuit is located is: the ratio of the distance between the two closest groups of nodes to the distance between the two farthest groups of nodes on the line segment of the cable where the circuit is located, multiplied by the number of nodes on the line segment of the corresponding cable where the circuit is located. That is, the complexity of the cable where the circuit is located is:

[0020] ;

[0021] in, For the The complexity of the cables where the group circuits are located; For the The number of nodes on the line segment of the cable where the group circuit is located; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

[0022] As an implementation method, the operation cycle of the transformer is: the ratio of the transformer operation cycle base number to the complexity of the cable where the transformer deployment circuit is located; wherein the transformer operation cycle base number is a preset reference time.

[0023] The transformer operating cycle base is used as a reference value for calculating the actual operating cycle, which is used to determine the actual operating cycle of the transformer and is adjusted by combining it with the complexity of the cable where the circuit is located.

[0024] The concept of transformer operation cycle base is introduced to make the setting of operation cycle more flexible and adaptable. By adjusting the base, the operation cycle of all transformers can be easily adjusted without changing the overall algorithm. The transformer operation cycle base is a fixed value pre-set based on experience or overall system requirements.

[0025] As an implementation method, the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable in the current circuit are:

[0026] ;

[0027] Where: , They are respectively the fault risk performance values ​​of the cables where the circuit is located based on the current parameter level and the voltage level; is the total amount of circuit operating status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , , , , , are weights; among them, , , , The sum is 1, , , , The sum is 1, , The larger the value, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value, the lower the fault risk of the cable where the circuit is located.

[0028] As an implementation method, the failure risk of the cable where the current circuit is located is:

[0029] ;

[0030] Where: is the fault risk performance value of the cable where the circuit is located; For the Harmonic content in group circuit operating status parameters; , , is the weight; where weight , , The sum of is 1, and < < ; The larger the value is, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value is, the lower the fault risk of the cable where the circuit is located.

[0031] As an implementation method, based on the comparison between the fault risk of the cable where the circuit is located and the cable fault judgment threshold, when it is preliminarily determined that there is no fault in the cable where the circuit is located, the fault risk performance value of the cable is cumulatively recorded. After the cumulative record of the fault risk performance value of the set group of cables, it is further evaluated based on the record timing whether the cumulative record of the fault risk performance value of the set group of cables is continuously increasing. If so, it is finally determined that there is a fault in the cable where the circuit is located; otherwise, it is determined that there is no fault in the cable where the circuit is located.

[0032] A second aspect of the present invention provides a cable fault identification system based on a transformer.

[0033] In one or more embodiments, a cable fault identification system based on a transformer includes:

[0034] A transformer determination module is used to obtain circuit structure parameters and construct a circuit structure topology, and determine the number and location of transformers according to the circuit structure topology;

[0035] An operation cycle setting module, which is used to identify the cable where the circuit corresponding to the transformer is located after the transformer is deployed in the circuit structure topology, and set the operation cycle of the transformer based on the complexity of the cable where the circuit is located;

[0036] A situation diagram generation module, which is used to obtain circuit operation status parameters monitored by the mutual inductor within the operation cycle, and then generate a circuit operation status parameter change situation diagram;

[0037] The fault risk assessment module is used to calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located based on the circuit operation status parameter change trend diagram, and then combine the harmonic content in the circuit operation status parameters to perform weighted averaging to assess the fault risk of the cable where the current circuit is located;

[0038] The cable fault determination module is used to compare the fault risk of the cable where the current circuit is located with the corresponding preset fault determination threshold, and then determine whether there is a fault in the cable where the current circuit is located.

[0039] A third aspect of the present invention provides a computer-readable storage medium.

[0040] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the above-mentioned method for identifying cable faults based on a transformer.

[0041] A fourth aspect of the present invention provides an electronic device.

[0042] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the above-mentioned method for identifying cable faults based on a mutual inductor are implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention provides certain effective data references for the deployment planning of transformers in cables by constructing the target circuit topology for transformer deployment, and further analyzes, evaluates and determines the operation failure risks of the cables where the circuits are located in combination with the circuit operation status parameters monitored by the transformer operation, so that the circuit operation is safe and synchronous safety monitoring can be obtained based on the operation of the transformer, thereby further effectively maintaining the operation safety of the circuits where the transformers are located. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0046] Figure 1 is a schematic flow chart of a method for identifying cable faults based on a mutual inductor according to an embodiment of the present invention;

[0047] Figure 2 is a schematic diagram of the structure of a cable fault identification system based on a mutual inductor according to an embodiment of the present invention;

[0048] Figure 3 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0050] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0051] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0052] Figure 1 FIG. 1 is a flow chart of a method for identifying cable faults based on a mutual inductor in an embodiment of the present invention. Figure 1 The cable fault identification method based on a transformer in the embodiment shown may include:

[0053] S101, obtaining circuit structure parameters and constructing a circuit structure topology, and determining the number and location of transformers to be deployed according to the circuit structure topology;

[0054] S102, when the transformer is deployed in the circuit structure topology, identifying the cable where the circuit corresponding to the transformer is located, and setting the operation cycle of the transformer based on the complexity of the cable where the circuit is located;

[0055] S103, obtaining circuit operation state parameters monitored by the mutual inductor within the operation cycle, and then generating a circuit operation state parameter change situation diagram;

[0056] S104, based on the circuit operation state parameter change trend diagram, calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located, and then combine the harmonic content in the circuit operation state parameter to perform weighted average to evaluate the fault risk of the cable where the current circuit is located;

[0057] S105, comparing the fault risk of the cable where the current circuit is located with the corresponding preset fault determination threshold, and then determining whether there is a fault in the cable where the current circuit is located.

[0058] Specifically, in S101, the circuit structure parameters include: location information of two ends of the cable segment where the circuit is located and the transmission direction of the cable where the circuit is located.

[0059] Among them, the process of constructing the circuit structure topology is:

[0060] Based on the position information of both ends of the cable segment where all the circuits are located in the circuit structure parameters, line segments of the cable where the circuits are located are drawn in the same three-dimensional coordinate system, and the drawn line segments are connected to each other to construct a circuit structure topology, and the transmission direction is marked with an arrow on the line segment of the cable where each circuit is located in the circuit structure topology.

[0061] As an implementation method, the number of transformers deployed is subject to:

[0062] ;

[0063] Where: Deployment quantity of transformers; is the total number of line segments in the circuit structure topology; For the The number of nodes on the line segment of the cable where the group circuit is located; is a constant; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

[0064] Among them, the constant >1, and is inversely proportional to the value of The larger the constant The smaller the value, the greater the constant The larger the value, the more sensors are deployed. Use the rounding up method.

[0065] In the process of deploying transformer positions, the number of transformer deployments is obtained, and positions are selected in the circuit structure topology to deploy transformers; the number of selected positions is less than the number of transformer deployments, and the difference between the number of transformer deployments and the number of positions selected by system-side users is calculated to obtain the remaining number of transformer deployments, and the complexity of the cables where each circuit segment in the circuit structure topology is located is analyzed, and the cables where each circuit segment is located are arranged in descending order based on the complexity, so that the cables where the circuits arranged in front are preferentially used as target cables for transformer deployment, and transformers are deployed at the starting end of the transmission direction of the target cables for transformer deployment, so that the cables where the circuits arranged in front are preferentially configured among the cables where the remaining number of transformer deployments are arranged in descending order based on the complexity.

[0066] The complexity of the cable where the circuit is located is: the ratio of the distance between the two closest groups of nodes to the distance between the two farthest groups of nodes on the line segment of the cable where the circuit is located, multiplied by the number of nodes on the line segment of the cable where the corresponding circuit is located.

[0067] The voltage and current conversion ratios of the transformers deployed in this embodiment are both 1 / 1.

[0068] The complexity of the cable where the circuit is located is calculated as follows:

[0069] ;

[0070] in, For the The complexity of the cables where the group circuits are located; For the The number of nodes on the line segment of the cable where the group circuit is located; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

[0071] In S102, the operation cycle of the transformer is: the ratio of the transformer operation cycle base number to the complexity of the cable where the transformer deployment circuit is located; wherein the transformer operation cycle base number is a preset reference time.

[0072] The transformer operating cycle base is used as a reference value for calculating the actual operating cycle, which is used to determine the actual operating cycle of the transformer and is adjusted by combining it with the complexity of the cable where the circuit is located.

[0073] The concept of transformer operation cycle base is introduced to make the setting of operation cycle more flexible and adaptable. By adjusting the base, the operation cycle of all transformers can be easily adjusted without changing the overall algorithm. The transformer operation cycle base is a fixed value pre-set based on experience or overall system requirements.

[0074] The setting of the transformer operation cycle is subject to:

[0075] ;

[0076] Where: is the operating cycle of the transformer; is the operating cycle base of the transformer; The complexity of the cables in which the transformers are laid out.

[0077] In S103, several groups of circuit operation state parameter change situation diagrams are generated, and the groups of circuit operation state parameter change situation diagrams correspond to the effective value, average value, peak value, change rate of current, effective value, average value, peak value, phase, and harmonic content of voltage, respectively. The horizontal axis of the circuit operation state parameter change situation diagram represents time, and the span of two adjacent groups of time represented on the horizontal axis is at least twice the operation cycle of the corresponding parameter source transformer. Among them, the circuit operation state parameter change situation diagram is a line graph;

[0078] In this embodiment, the fault risk representation value based on the current parameter level and the fault risk representation value based on the voltage level of the cable where the current circuit is located are:

[0079] ;

[0080] Where: , They are respectively the fault risk performance values ​​of the cables where the circuit is located based on the current parameter level and the voltage level; is the total amount of circuit operating status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , , , , , are weights; among them, , , , The sum is 1, , , , The sum is 1, , The larger the value, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value, the lower the fault risk of the cable where the circuit is located.

[0081] It should be noted here that , , , , , , , The specific value of can be matched and set by technicians in this field according to the actual situation.

[0082] Among them, the fault risk of the cable where the current circuit is located is:

[0083] ;

[0084] Where: is the fault risk performance value of the cable where the circuit is located; For the Harmonic content in group circuit operating status parameters; , , is the weight; where weight , , The sum of is 1, and < < ; The larger the value is, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value is, the lower the fault risk of the cable where the circuit is located.

[0085] It should be noted here that , , The specific value of can be matched and set by technicians in this field according to the actual situation.

[0086] In S105, based on the comparison between the fault risk of the cable where the circuit is located and the cable fault judgment threshold, when it is preliminarily determined that there is no fault in the cable where the circuit is located, the fault risk performance value of the cable is cumulatively recorded. After the cumulative record of the fault risk performance value of the setting group cable, it is further evaluated based on the record timing whether the cumulative record of the fault risk performance value of the setting group cable is continuously increasing. If so, it is finally determined that there is a fault in the cable where the circuit is located; otherwise, it is determined that there is no fault in the cable where the circuit is located.

[0087] Figure 2 Schematic diagram of a cable fault identification system based on a mutual inductor according to an embodiment of the present invention. Figure 1 The cable fault identification method based on mutual inductor corresponds to Figure 2 As shown, the cable fault identification system based on mutual inductor in this embodiment may include:

[0088] A transformer determination module 201 is used to obtain circuit structure parameters and construct a circuit structure topology, and determine the number and location of transformers according to the circuit structure topology;

[0089] An operation cycle setting module 202, which is used to identify the cable where the circuit corresponding to the transformer is located after the transformer is deployed in the circuit structure topology, and set the operation cycle of the transformer based on the complexity of the cable where the circuit is located;

[0090] A situation diagram generating module 203, which is used to obtain the circuit operation state parameters monitored by the mutual inductor within the operation cycle, and then generate a circuit operation state parameter change situation diagram;

[0091] The fault risk assessment module 204 is used to calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located based on the circuit operation status parameter change trend diagram, and then combine the harmonic content in the circuit operation status parameters to perform weighted averaging to assess the fault risk of the cable where the current circuit is located;

[0092] The cable fault determination module 205 is used to compare the fault risk of the cable where the current circuit is located with the corresponding preset fault determination threshold, and then determine whether there is a fault in the cable where the current circuit is located.

[0093] It should be noted here that Figure 2 The various modules in the transformer-based cable fault identification system are Figure 1The various steps in the transformer-based cable fault identification method in the embodiment correspond one to another, and the specific implementation process is the same, which will not be described here.

[0094] Reference Figure 3 , a schematic diagram of an electronic device is given. It should be noted that, Figure 3 The electronic device 300 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0095] like Figure 3 As shown, the electronic device 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303. In the RAM 303, various programs and data required for system operation are also stored. The central processing unit 301, the ROM 302 and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0096] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.

[0097] When the central processing unit 301 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the transformer-based cable fault identification method are shown.

[0098] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 309, and / or installed from the removable medium 311. When the computer program is executed by the central processing unit 301, various functions defined in the apparatus of the present application are executed.

[0099] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0101] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cable fault identification method based on mutual inductor, characterized in that: include: Obtain circuit structure parameters and construct circuit structure topology, and determine the number and location of transformers according to the circuit structure topology; When the transformer is deployed in the circuit structure topology, the cable corresponding to the circuit of the transformer is identified, and the operation cycle of the transformer is set based on the complexity of the cable where the circuit is located; Obtaining circuit operation status parameters monitored by the mutual inductor during the operation cycle, and then generating a circuit operation status parameter change situation diagram; Based on the circuit operation status parameter change trend diagram, calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located, and then combine the harmonic content in the circuit operation status parameters to obtain the weighted average value to evaluate the fault risk of the cable where the current circuit is located; The fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable in the current circuit are: ； Where: , They are respectively the fault risk performance values ​​of the cables where the circuit is located based on the current parameter level and the voltage level; is the total amount of circuit operating status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , , , , , are weights; among them, , , , The sum is 1, , , , The sum is 1, , The larger the value, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value, the lower the fault risk of the cable where the circuit is located. The fault risk of the cable in the current circuit is: ； Where: is the fault risk performance value of the cable where the circuit is located; For the Harmonic content in group circuit operating status parameters; , , is the weight; where weight , , The sum of is 1, and < < ; The larger the value of, the higher the fault risk of the cable where the circuit is located, and vice versa, the lower the fault risk of the cable where the circuit is located; The fault risk of the cable where the current circuit is located is compared with the corresponding preset fault judgment threshold to determine whether the cable where the current circuit is located has a fault.

2. The cable fault identification method based on mutual inductor according to claim 1, characterized in that: The circuit structure parameters include: location information of both ends of the cable segment where the circuit is located and the transmission direction of the cable where the circuit is located.

3. The cable fault identification method based on mutual inductor according to claim 1, characterized in that: The process of building the circuit structure topology is: Based on the position information of both ends of the cable segment where all the circuits are located in the circuit structure parameters, line segments of the cable where the circuits are located are drawn in the same three-dimensional coordinate system, and the drawn line segments are connected to each other to construct a circuit structure topology, and the transmission direction is marked with an arrow on the line segment of the cable where each circuit is located in the circuit structure topology.

4. The cable fault identification method based on mutual inductor according to claim 1, characterized in that: The number of transformers deployed is: ； Where: Deployment quantity of transformers; is the total number of line segments in the circuit structure topology; For the The number of nodes on the line segment of the cable where the group circuit is located; is a constant; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

5. The cable fault identification method based on mutual inductor according to claim 1, characterized in that: The complexity of the cable where the circuit is located is: ； in, For the The complexity of the cables where the group circuits are located; For the The number of nodes on the line segment of the cable where the group circuit is located; For the The distance between the two nearest nodes on the line segment of the cable where the group circuit is located; For the The distance between the two farthest groups of nodes on the line segment of the cable where the group circuit is located.

6. The method for identifying cable faults based on a mutual inductor according to claim 1, characterized in that: The operating cycle of the transformer is: the ratio of the transformer operating cycle base number to the complexity of the cable where the transformer is deployed; wherein the transformer operating cycle base number is a preset reference time.

7. The method for identifying cable faults based on a mutual inductor according to claim 1, characterized in that: According to the comparison between the fault risk of the cable where the circuit is located and the cable fault judgment threshold, when it is preliminarily determined that there is no fault in the cable where the circuit is located, the fault risk performance value of the cable is cumulatively recorded. After the cumulative record of the fault risk performance value of the set group of cables, it is further evaluated based on the record time sequence whether the cumulative record of the fault risk performance value of the set group of cables is continuously increasing. If so, it is finally determined that there is a fault in the cable where the circuit is located; otherwise, it is determined that there is no fault in the cable where the circuit is located.

8. A cable fault identification system based on a mutual inductor, characterized in that: include: A transformer determination module is used to obtain circuit structure parameters and construct a circuit structure topology, and determine the number and location of transformers according to the circuit structure topology; An operation cycle setting module, which is used to identify the cable where the circuit corresponding to the transformer is located after the transformer is deployed in the circuit structure topology, and set the operation cycle of the transformer based on the complexity of the cable where the circuit is located; A situation diagram generation module, which is used to obtain circuit operation status parameters monitored by the mutual inductor within the operation cycle, and then generate a circuit operation status parameter change situation diagram; The fault risk assessment module is used to calculate the fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable where the current circuit is located based on the circuit operation status parameter change trend diagram, and then combine the harmonic content in the circuit operation status parameters to perform weighted averaging to assess the fault risk of the cable where the current circuit is located; The fault risk performance value based on the current parameter level and the fault risk performance value based on the voltage level of the cable in the current circuit are: ； Where: , They are respectively the fault risk performance values ​​of the cables where the circuit is located based on the current parameter level and the voltage level; is the total amount of circuit operating status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The effective value, average value, peak value and change rate of the current in the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , Respectively The voltage effective value, average value, peak value and phase of the group circuit operation status parameters; , , , , , , , are weights; among them, , , , The sum is 1, , , , The sum is 1, , The larger the value, the higher the fault risk of the cable where the circuit is located. Conversely, the smaller the value, the lower the fault risk of the cable where the circuit is located. The fault risk of the cable in the current circuit is: ； Where: is the fault risk performance value of the cable where the circuit is located; For the Harmonic content in group circuit operating status parameters; , , is the weight; where weight , , The sum of is 1, and < < ; The larger the value of, the higher the fault risk of the cable where the circuit is located, and vice versa, the lower the fault risk of the cable where the circuit is located; The cable fault determination module is used to compare the fault risk of the cable where the current circuit is located with the corresponding preset fault determination threshold, and then determine whether there is a fault in the cable where the current circuit is located.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the cable fault identification method based on a transformer as described in any one of claims 1 to 7 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the cable fault identification method based on a transformer as described in any one of claims 1 to 7 are implemented.

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