A method and related device for locating fault arc of oil-immersed transformer

Abstract

The present invention provides a method for locating an oil-immersed transformer fault arc and a related device, and relates to the technical field of oil-immersed transformer fault diagnosis. The basic parameters of the target transformer are collected by a preset sensor device set; whether a fault warning is required is determined according to a preset threshold value combined with the basic parameters; if so, the current basic parameters are obtained and abnormal parameters are determined; the hardware information of the preset sensor device corresponding to the abnormal parameters is obtained; a target equation group is established by combining the coordinate information in the hardware information with the time difference method; and the fault information is determined according to the current basic parameters and the target equation group. The internal fault arc of the oil-immersed transformer is located by real-time oil pressure data changes, which has the advantages of fast response speed and high measurement accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of oil-immersed transformer fault diagnosis, and in particular to a method for locating an oil-immersed transformer fault arc and a related device. Background Art

[0002] The power transformer is the operation hub of the entire power system, and its normal operation plays a decisive role in the reliable transportation, flexible distribution and safe use of electric energy. Once a transformer fails, it may not only cause a large-scale power outage and affect the reliable supply of electricity, but also, as a large oil-filled equipment, it may cause serious accidents such as explosions and fires in the transformer due to internal failures, endangering the safety of personnel and equipment. Therefore, it is of great significance to ensure the safety of personnel and equipment to monitor the operating status of the transformer in real time, to warn and diagnose the abnormal operating status of the transformer, to detect faults in advance and to intervene in the further deterioration and development of faults.

[0003] When an internal fault occurs in a transformer, it is often accompanied by gas production, overheating, oil pressure changes, etc. Non-electrical characteristic monitoring is an effective means to achieve fault early warning. When the transformer is subjected to a short-circuit shock or abnormal operating conditions, a fault arc will be generated inside. The arc energy is quickly converted into heat and causes the insulating oil to change phase from liquid to superheated steam. This physical process will cause a sharp change in the internal oil pressure and propagate in the form of a pressure wave. This process is accompanied by changes in oil pressure, oil temperature and oil flow rate. In contrast, oil pressure monitoring has the advantages of fast response speed and high measurement accuracy, and can more sensitively and accurately reflect the characteristics of internal fault arcs.

[0004] Due to the complex internal structure of oil-immersed transformers, deep coupling of physical processes and lack of monitoring methods, there is currently a lack of effective methods for locating internal fault arcs in oil-immersed transformers.

[0005] Therefore, how to locate the internal fault arc of the oil-immersed transformer has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] In order to locate an internal fault arc in an oil-immersed transformer, the present application provides a method for locating an internal fault arc in an oil-immersed transformer and a related device.

[0007] In the first aspect, the present application provides a method for locating an oil-immersed transformer fault arc using the following technical solution:

[0008] A method for locating an oil-immersed transformer fault arc, comprising:

[0009] Collect basic parameters of the target transformer through a preset sensor set;

[0010] Determine whether a fault warning is required based on a preset threshold value and the basic parameters;

[0011] If yes, obtain the current basic parameters and determine the abnormal parameters;

[0012] Acquire hardware information of a preset sensor device corresponding to the abnormal parameter;

[0013] Establishing a target set of equations by combining the coordinate information in the hardware information with the time difference method;

[0014] Fault information is determined based on the current basic parameters and the target equation group.

[0015] Optionally, the preset sensing device is an oil pressure sensor, and the basic parameters are the timing and amplitude of the pressure wave.

[0016] Optionally, before the step of determining whether a fault warning is required according to a preset threshold value combined with the basic parameter, the step further includes:

[0017] Obtain preset thresholds and current usage scenario information;

[0018] Determining whether it is a common scene according to the scene information;

[0019] If not, matching a corresponding correction strategy in a preset database according to the scenario information;

[0020] The preset threshold is modified according to the modification strategy.

[0021] Optionally, the step of obtaining hardware information of a preset sensor device corresponding to the abnormal parameter includes:

[0022] Obtain detection identification information corresponding to abnormal parameters;

[0023] Traversing the abnormal device table according to the detection identification information to determine target abnormal hardware information;

[0024] Abnormal coordinate information is determined according to the target hardware information.

[0025] Optionally, the step of establishing the target equation group by combining the time difference method with the coordinate information in the hardware information includes:

[0026] Set the coordinate origin to establish a three-dimensional rectangular coordinate system;

[0027] Determine the coordinate parameters corresponding to each sensor device according to the three-dimensional rectangular coordinate system combined with the preset sensor device;

[0028] Establishing the displacement equation ;

[0029] Among them, the time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i , where i is the sensor number and the fault arc coordinates are N (x, y, z).

[0030] Optionally, the step of determining fault information according to the current basic parameters and the target equation group includes:

[0031] Acquire current hardware information, and generate early warning environment information according to structure size information and internal winding layout information in the current hardware information;

[0032] Determine a corresponding abnormal sensor identifier according to the current basic parameter;

[0033] Inputting the abnormal sensor identification into the target equation group to determine fault coordinate information;

[0034] An abnormal point report is generated according to the fault coordinate information and the early warning environment information.

[0035] Optionally, the step of determining fault information according to the current basic parameters and the target equation group includes:

[0036] Determine a fault level according to the fault information, wherein the fault level includes an automatic correction level and a human intervention level;

[0037] When it is determined that the fault level is an automatic correction level, matching the emergency strategies containing the first level from the preset emergency strategy library;

[0038] When it is determined that the fault level is a human intervention level, an emergency strategy of the second level is matched from the preset emergency strategy library.

[0039] In a second aspect, the present application provides a device for locating an oil-immersed transformer fault arc, wherein the oil-immersed transformer fault arc locating device comprises:

[0040] A basic parameter module, used to collect basic parameters of the target transformer through a preset set of sensor devices;

[0041] A fault warning module is used to determine whether a fault warning is needed based on a preset threshold value combined with the basic parameters;

[0042] The abnormal parameter module is used to obtain the current basic parameters and determine the abnormal parameters if yes;

[0043] A hardware information module, used to obtain hardware information of a preset sensor device corresponding to the abnormal parameter;

[0044] An equation group module, used for establishing a target equation group by combining the coordinate information in the hardware information with the time difference method;

[0045] A fault information module is used to determine fault information according to the current basic parameters and the target equation group.

[0046] In a third aspect, the present application provides an oil-immersed transformer fault arc locating device, the device comprising: a memory, a processor, and the processor executes the method described above when running the oil-immersed transformer fault arc locating program stored in the memory.

[0047] In a fourth aspect, the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a computer, enable the computer to execute the method described above.

[0048] In summary, the present application includes the following beneficial technical effects:

[0049] This application collects the basic parameters of the target transformer through a preset sensor device set; determines whether a fault warning is needed based on the preset threshold combined with the basic parameters; if so, obtains the current basic parameters and determines the abnormal parameters; obtains the hardware information of the preset sensor device corresponding to the abnormal parameters; establishes the target equation group through the time difference method combined with the coordinate information in the hardware information; determines the fault information based on the current basic parameters and the target equation group. The internal fault arc location of the oil-immersed transformer is carried out through the real-time oil pressure data change, which has the advantages of fast response speed and high measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a structural schematic diagram of an oil-immersed transformer fault arc locating device in a hardware operating environment involved in an embodiment of the present application;

[0051] Figure 2 It is a flow chart of the first embodiment of the method for locating an arc fault in an oil-immersed transformer of the present application;

[0052] Figure 3 This is a schematic diagram of the arrangement position of the oil pressure sensor of the first embodiment of the method for locating an arc fault in an oil-immersed transformer of the present application;

[0053] Figure 4 It is a structural block diagram of the first embodiment of the oil-immersed transformer fault arc locating device of the present application. DETAILED DESCRIPTION

[0054] 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 through 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.

[0055] Reference Figure 1 , Figure 1This is a schematic diagram of the structure of an oil-immersed transformer fault arc locating device in the hardware operating environment involved in the embodiment of the present application.

[0056] like Figure 1 As shown, the oil-immersed transformer fault arc locating device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0057] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the oil-immersed transformer fault arc locating device, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.

[0058] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an oil-immersed transformer fault arc locating program.

[0059] exist Figure 1 In the oil-immersed transformer fault arc locating device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the present application can be set in the oil-immersed transformer fault arc locating device, and the oil-immersed transformer fault arc locating device calls the oil-immersed transformer fault arc locating program stored in the memory 1005 through the processor 1001, and executes the oil-immersed transformer fault arc locating method provided in the embodiment of the present application.

[0060] The present application provides a method for locating an oil-immersed transformer fault arc. Figure 2 , Figure 2This is a flow chart of the first embodiment of the method for locating an arc fault in an oil-immersed transformer of the present application.

[0061] In this embodiment, the method for locating an oil-immersed transformer fault arc comprises the following steps:

[0062] Step S10: collecting basic parameters of the target transformer through a preset sensor device set.

[0063] It should be noted that the preset sensing device is an oil pressure sensor, and the basic parameters are the timing and amplitude of the pressure wave.

[0064] It is understandable that due to the complex internal structure of oil-immersed transformers, deep coupling of physical processes and lack of monitoring means, there is currently a lack of effective methods for locating fault arcs inside oil-immersed transformers. Taking into account the advantages of fast response speed and high measurement accuracy unique to oil pressure monitoring, combined with the fault arc propagation mechanism, the present invention proposes a method for locating fault arcs in oil-immersed transformers based on online oil pressure monitoring. At the moment of the fault arc, the part of the winding where the fault arc is located is located according to the oil pressure change characteristics of each monitoring point. It can not only realize real-time early warning of the internal fault arc of the transformer, but also provide a reference for fault arc positioning for subsequent fault diagnosis or hanging cover maintenance, which can significantly improve the technical level of fault arc diagnosis of oil-immersed transformers and effectively improve the effectiveness of transformer operation and maintenance.

[0065] In the specific implementation, the execution body of this embodiment is an oil-immersed transformer oil pressure online detection system, including an oil pressure sensor matrix, a communication acquisition module, a 24V DC power supply, and an industrial control integrated machine. By arranging oil pressure sensors on the four sides, bottom, top, pressure relief valve and oil pillow pipeline of the transformer shell, an oil pressure online monitoring matrix is ​​formed. When an arc fault occurs inside the transformer, according to the timing and amplitude of the pressure waves received by different monitoring points, when the coordinates of each monitoring point are known, the coordinates of the fault arc can be calculated according to the time difference method, and the winding and specific position where the fault arc is located can be determined accordingly.

[0066] like Figure 3 As shown, the oil pressure sensing matrix consists of eight oil pressure monitoring sensors. The installation locations of each sensor are:

[0067] Sensor No. 1: Front outer wall of transformer housing

[0068] Sensor No. 2: outer wall of the back of the transformer housing

[0069] Sensor No. 3: Outer wall on the left side of the transformer housing

[0070] Sensor No. 4: Right side outer wall of transformer housing

[0071] Sensor No. 5: Bottom outer wall of transformer housing

[0072] Sensor No. 6: Upper outer wall of transformer housing

[0073] Sensor No. 7: Transformer pressure relief valve location (usually located on the upper part of the housing)

[0074] Sensor No. 8: Transformer oil conservator oil pipe

[0075] Among them, P1 is the front of the shell, P2 is the back of the shell, P3 is the left side of the shell, P4 is the right side of the shell, P5 is the bottom of the shell, P6 is the top of the shell, P7 is the oil pipe of the oil pillow, and P8 is the pressure relief valve.

[0076] The communication acquisition module uniformly collects the oil pressure online monitoring data of eight sensors and serves as the interface for data collection. The 24V DC power supply provides power supply for the communication acquisition module. The industrial control integrated machine can receive the data transmitted by the communication acquisition module, and perform data analysis based on the oil-immersed transformer fault arc diagnosis algorithm to obtain the winding and specific location of the fault arc, and display the diagnosis results through the display page. The industrial control integrated machine can be powered by an external power supply alone, or it can be connected to the substation monitoring background for unified management.

[0077] Step S20: Determine whether a fault warning is required based on a preset threshold value combined with basic parameters.

[0078] It should be noted that before the step of determining whether a fault warning is needed based on the preset threshold combined with the basic parameters, it also includes: obtaining the preset threshold and the current usage scenario information; determining whether it is a common scenario based on the scenario information; if not, matching the corresponding correction strategy in the preset database based on the scenario information; and correcting the preset threshold according to the correction strategy.

[0079] It should be noted that the preset threshold in this embodiment is a threshold for judging whether the corresponding oil pressure sensor device detects data. In common use, different preset thresholds are determined according to different usage scenarios. Therefore, when judging whether a fault warning is needed, the current usage scenario information is obtained, and combined with the usage scenario information, it is judged whether the preset threshold needs to be corrected.

[0080] In a specific implementation, if it is determined that a fault warning is not necessary, the execution subject of this embodiment will continuously collect basic parameters of the target position through a preset set of sensor devices.

[0081] Step S30: If yes, obtain the current basic parameters and determine the abnormal parameters.

[0082] It should be noted that when it is determined that a fault warning is required, at least one sensor device has received abnormal data, and the abnormal data and device information of the corresponding sensor device that collected the abnormal data are obtained.

[0083] Step S40: Acquire hardware information of a preset sensor device corresponding to the abnormal parameter.

[0084] It should be noted that the step of obtaining the hardware information of the preset sensor device corresponding to the abnormal parameters includes: obtaining the detection identification information corresponding to the abnormal parameters; traversing the abnormal device table according to the detection identification information to determine the target abnormal hardware information; and determining the abnormal coordinate information according to the target hardware information.

[0085] Step S50: Establishing a target set of equations by combining the time difference method with the coordinate information in the hardware information.

[0086] It should be noted that the steps of establishing the target equation group by combining the time difference method with the coordinate information in the hardware information include: setting the coordinate origin to establish a three-dimensional rectangular coordinate system; determining the coordinate parameters corresponding to each sensor device according to the three-dimensional rectangular coordinate system combined with the preset sensor device; establishing the displacement equation ;

[0087] Among them, the time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i , where i is the sensor number and the fault arc coordinates are N (x, y, z).

[0088] In the specific implementation, the positioning principle is: according to the timing and amplitude of the pressure waves received by different monitoring points, a multivariate multi-order equation group is established through the time difference method. Based on this calculation, the coordinates of the fault arc are obtained, and the winding and specific location of the fault arc can be determined. A three-dimensional rectangular coordinate system is established with the tip of the lower left corner of the transformer shell as the coordinate origin (0, 0, 0). The specific coordinates of the eight oil pressure sensors arranged on the transformer shell are known, which can be described as Pi (x i ,y i ,z i ), where i is the sensor number, ranging from 1 to 8. Assume that the time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i , where i is the sensor number. The propagation process of the pressure wave caused by the fault arc in the transformer body, such as refraction and reflection, is not considered, and only its initial propagation path is considered. Assume that the straight-line distance from the starting position of the fault arc to the sensor is l i . Assume that the propagation speed of the pressure wave generated by the fault arc in the transformer body is v. Assume that the coordinates of the specific location of the fault arc are unknown, that is, N (x, y, z). Then the displacement equation of the pressure wave propagation process generated by the fault arc can be obtained:

[0089] ;

[0090] According to the time sequence of the pressure waves received by different monitoring points, on the premise of unifying the scale zero moment, the specific moments \(t\) when the pressure waves reach the eight sensors can be obtained. i According to the time difference method, a system of three - element equations about the coordinates of the faulty arc can be obtained, and then the specific coordinates of the faulty arc in this three - dimensional rectangular coordinate system can be calculated, thus completing the fault location. Among them, the time difference value is the time difference between the pressure wave signals received by the two sensors.

[0091] After obtaining the coordinates \(N(x,y,z)\) of the faulty arc, according to the interval where its coordinates are located, the winding and the specific part where the faulty arc is located can be clearly obtained. After knowing the structural dimensions of the transformer and the internal winding layout, the coordinate intervals of the three - phase windings in three dimensions can be obtained. That is, the coordinate range where the A - phase winding is located is between \(XA1\) and \(XA2\) in the X - axis direction, between \(YA1\) and \(YA2\) in the Y - axis direction, and between \(ZA1\) and \(ZA2\) in the Z - axis direction. The same applies to the B - phase and C - phase windings. Based on this, a method for judging the winding and the specific part where the faulty arc is located based on the coordinates of the faulty arc can be obtained.

[0092] First, judge the winding where it is located. If the abscissa of the faulty arc satisfies \(XA1 < x < XA2\), it can be judged that it is in the A - phase winding. If \(XB1 < x < XB2\), it can be judged that it is in the B - phase winding. If \(XC1 < x < XC2\), it can be judged that it is in the C - phase winding.

[0093] After judging the phase of the winding where the faulty arc is located, assume the phase is \(O\). If the ordinate of the faulty arc satisfies \(YO1 < y < (YO1 + YO2) / 2\), it is judged that the faulty arc is close to the lower end of the winding. If the ordinate of the faulty arc satisfies \((YO1 + YO2) / 2 < y < YO2\), it is judged that the faulty arc is close to the upper end of the winding.

[0094] After judging the specific part of the winding where the faulty arc is located, its specific position can be further judged according to its vertical coordinate. If the vertical coordinate of the faulty arc satisfies \(ZO1 < z < (ZO1 + ZO2) / 2\), it is judged that the faulty arc is located on the side close to the front of the housing. If the vertical coordinate of the faulty arc satisfies \((ZO1 + ZO2) / 2 < z < ZO2\), it is judged that the faulty arc is close to the back of the housing.

[0095] Based on the above judgments, the winding and the specific part where the faulty arc is located can be accurately positioned.

[0096] Step S60: Determine the fault information according to the current basic parameters and the target system of equations.

[0097] In a specific implementation, the steps of determining fault information according to current basic parameters and target equation group include: obtaining current hardware information, generating early warning environment information according to structural dimension information and internal winding layout information in the current hardware information; determining the corresponding abnormal sensor identifier according to the current basic parameters; inputting the abnormal sensor identifier into the target equation group to determine the fault coordinate information; and generating an abnormal point report according to the fault coordinate information combined with the early warning environment information.

[0098] It should be noted that the step of determining fault information based on the current basic parameters and the target equation group includes: determining the fault level based on the fault information, the fault level including the automatic correction level and the human intervention level; when it is determined that the fault level is the automatic correction level, matching the emergency strategy whose identifier contains the first level from the preset emergency strategy library; when it is determined that the fault level is the human intervention level, matching the emergency strategy whose identifier contains the second level from the preset emergency strategy library.

[0099] It can be understood that the preset emergency strategy library in this embodiment is an emergency response measure for the fault causes in different situations, including two forms of automatic correction intervention and human intervention.

[0100] This embodiment collects the basic parameters of the target transformer through a preset sensor device set; determines whether a fault warning is needed based on the preset threshold combined with the basic parameters; if so, obtains the current basic parameters and determines the abnormal parameters; obtains the hardware information of the preset sensor device corresponding to the abnormal parameters; establishes the target equation group through the time difference method combined with the coordinate information in the hardware information; determines the fault information based on the current basic parameters and the target equation group. The internal fault arc location of the oil-immersed transformer is carried out through the real-time oil pressure data change, which has the advantages of fast response speed and high measurement accuracy.

[0101] In addition, an embodiment of the present application also proposes a computer-readable storage medium, on which a program for locating an oil-immersed transformer fault arc is stored. When the program for locating an oil-immersed transformer fault arc is executed by a processor, the steps of the method for locating an oil-immersed transformer fault arc as described above are implemented.

[0102] Reference Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the oil-immersed transformer fault arc locating device of the present application.

[0103] like Figure 4 As shown, the oil-immersed transformer fault arc locating device proposed in the embodiment of the present application includes:

[0104] A basic parameter module 10 is used to collect basic parameters of a target transformer through a preset sensor device set;

[0105] Fault warning module 20, used to determine whether fault warning is needed according to preset thresholds combined with basic parameters;

[0106] The abnormal parameter module 30 is used to obtain the current basic parameters and determine the abnormal parameters if yes;

[0107] A hardware information module 40, used to obtain hardware information of a preset sensor device corresponding to an abnormal parameter;

[0108] The equation group module 50 is used to establish a target equation group by combining the coordinate information in the hardware information with the time difference method;

[0109] The fault information module 60 is used to determine the fault information according to the current basic parameters and the target equation group.

[0110] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present application. In specific applications, technicians in this field can make settings as needed, and the present application does not impose any limitation on this.

[0111] This embodiment collects the basic parameters of the target transformer through a preset sensor device set; determines whether a fault warning is needed based on the preset threshold combined with the basic parameters; if so, obtains the current basic parameters and determines the abnormal parameters; obtains the hardware information of the preset sensor device corresponding to the abnormal parameters; establishes the target equation group through the time difference method combined with the coordinate information in the hardware information; determines the fault information based on the current basic parameters and the target equation group. The internal fault arc location of the oil-immersed transformer is carried out through the real-time oil pressure data change, which has the advantages of fast response speed and high measurement accuracy.

[0112] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present application. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0113] In addition, for technical details not fully described in this embodiment, reference can be made to the method for locating an oil-immersed transformer fault arc provided in any embodiment of the present application, and will not be repeated here.

[0114] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0115] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0116] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of each embodiment of the present application.

[0117] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for locating an arc fault in an oil-immersed transformer, characterized in that: Including: Collecting the basic parameters of the target transformer through a preset set of sensing devices; Judging whether a fault warning is required according to a preset threshold in combination with the basic parameters; If so, obtaining the current basic parameters and determining abnormal parameters; Obtaining the hardware information of the preset sensing device corresponding to the abnormal parameters; Establishing a target equation set by the time difference method in combination with the coordinate information in the hardware information; Determining fault information according to the current basic parameters and the target equation set; Before the step of judging whether a fault warning is required according to a preset threshold in combination with the basic parameters, it further includes: Obtaining a preset threshold and current usage scenario information; Judging whether it is a common scenario according to the scenario information; If not, matching a corresponding correction strategy in a preset database according to the scenario information; Correcting the preset threshold according to the correction strategy; The step of obtaining the hardware information of the preset sensing device corresponding to the abnormal parameters includes: Obtaining the detection identification information corresponding to the abnormal parameters; Traversing in an abnormal device table according to the detection identification information to determine the target abnormal hardware information; Determining abnormal coordinate information according to the target abnormal hardware information; The step of establishing a target equation set by the time difference method in combination with the coordinate information in the hardware information includes: Setting a coordinate origin to establish a three-dimensional rectangular coordinate system; Determining the coordinate parameters corresponding to each sensing device according to the three-dimensional rectangular coordinate system in combination with the preset sensing device; Establishing a displacement equation: ； Among them, the time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i , where i is the sensor number and the fault arc coordinates N (x, y, z); After obtaining the fault arc coordinates N(x, y, z), according to the interval where its coordinates are located, the winding and specific part where the fault arc is located can be clearly obtained. After knowing the transformer structure size and internal winding layout, the coordinate intervals of the three-phase windings in three dimensions can be obtained. That is, the coordinate range where the A-phase winding is located is between XA1 and XA2 in the X-axis direction, between YA1 and YA2 in the Y-axis direction, and between ZA1 and ZA2 in the Z-axis direction. The B and C-phase windings are similar; First, judge the winding where it is located. If the abscissa of the fault arc satisfies XA1 < x < XA2, it can be judged that it is in the A-phase winding. If XB1 < x < XB2, it can be judged that it is in the B-phase winding. If XC1 < x < XC2, it can be judged that it is in the C-phase winding; After judging the phase of the winding where the fault arc is located, assuming the phase where it is located is O. If the ordinate of the fault arc satisfies YO1 < y < (YO1 + YO2) / 2, it is judged that the fault arc is close to the lower end of the winding. If the ordinate of the fault arc satisfies (YO1 + YO2) / 2 < y < YO2, it is judged that the fault arc is close to the upper end of the winding; After judging the specific part of the winding where the fault arc is located, its specific position can be further judged according to its vertical coordinate. If the vertical coordinate of the fault arc satisfies ZO1 < z < (ZO1 + ZO2) / 2, it is judged that the fault arc is located on the side close to the front of the housing. If the ordinate of the fault arc satisfies (ZO1 + ZO2) / 2 < z < ZO2, it is judged that the fault arc is close to the back of the housing; The step of determining fault information according to the current basic parameters and the target equation set includes: Acquire current hardware information, and generate early warning environment information according to structure size information and internal winding layout information in the current hardware information; Determine a corresponding abnormal sensor identifier according to the current basic parameter; Inputting the abnormal sensor identification into the target equation group to determine fault coordinate information; An abnormal point report is generated according to the fault coordinate information and the early warning environment information.

2. The method for locating an oil-immersed transformer arc fault according to claim 1, characterized in that: The preset sensing device is an oil pressure sensor, and the basic parameters are the timing and amplitude of the pressure wave.

3. The method for locating an oil-immersed transformer arc fault according to any one of claims 1 to 2, characterized in that: The step of determining fault information according to the current basic parameters and the target equation group includes: Determine a fault level according to the fault information, wherein the fault level includes an automatic correction level and a human intervention level; When it is determined that the fault level is an automatic correction level, matching the emergency strategy containing the first level from the preset emergency strategy library; When it is determined that the fault level is a human intervention level, an emergency strategy of the second level is matched from the preset emergency strategy library.

4. A fault arc locating device for an oil-immersed transformer, characterized in that: Executing the method according to claim 1, the oil-immersed transformer fault arc locating comprises: A basic parameter module, used to collect basic parameters of the target transformer through a preset set of sensor devices; A fault warning module is used to determine whether a fault warning is needed based on a preset threshold value combined with the basic parameters; The abnormal parameter module is used to obtain the current basic parameters and determine the abnormal parameters if yes; A hardware information module, used to obtain hardware information of a preset sensor device corresponding to the abnormal parameter; An equation group module, used for establishing a target equation group by combining the coordinate information in the hardware information with the time difference method; A fault information module, used for determining fault information according to the current basic parameters and the target equation group; The fault warning module is also used to obtain preset thresholds and current usage scenario information; Determining whether it is a common scene according to the scene information; If not, matching a corresponding correction strategy in a preset database according to the scenario information; Modifying the preset threshold according to the modification strategy; The hardware information module is also used to obtain detection identification information corresponding to abnormal parameters; Traversing the abnormal device table according to the detection identification information to determine target abnormal hardware information; Determine abnormal coordinate information according to the target abnormal hardware information; The equation group module is also used to set the coordinate origin to establish a three-dimensional rectangular coordinate system; Determine the coordinate parameters corresponding to each sensor device according to the three-dimensional rectangular coordinate system combined with the preset sensor device; Establish the displacement equation: ； Among them, the time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i , where i is the sensor number and the fault arc coordinates N (x, y, z); The fault information module is further used to obtain current hardware information and generate early warning environment information according to the structural size information and internal winding layout information in the current hardware information; Determine a corresponding abnormal sensor identifier according to the current basic parameter; Inputting the abnormal sensor identification into the target equation group to determine fault coordinate information; An abnormal point report is generated according to the fault coordinate information and the warning environment information.

5. An oil-immersed transformer fault arc locating device, characterized in that: The device comprises: a memory and a processor. When the processor runs the oil-immersed transformer fault arc locating program stored in the memory, the processor executes the method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The method comprises instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 3.

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