System and method for detecting axial displacement of transformer winding and related equipment

Abstract

The embodiment of the invention relates to the technical field of power equipment monitoring, and discloses a transformer winding axial displacement detection system and method and related equipment, which utilize the characteristics of high spatial resolution and strong penetrability of pulse waves, compare the changes of the pulse waves in different states by using a signal transmitter and a signal receiver, and determine the axial displacement of the transformer winding. The axial displacement of the winding can be accurately determined by combining the mode recognition capability of the preset model, online monitoring of the axial displacement of the transformer winding is achieved, professional technical operation is not needed, and related electrical risks and economic losses are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment monitoring, and in particular to a transformer winding axial displacement detection system, method and related equipment. Background Art

[0002] High short-circuit current is the main cause of radial deformation of transformer windings. These mechanical damages do not necessarily lead to immediate transformer failure, but will significantly reduce its ability to withstand future mechanical and dielectric stresses. In recent years, several offline methods such as short-circuit test method, low voltage impulse method and frequency response analysis method have been proposed to detect winding deformation. However, all of the above methods are offline and require the transformer to be disconnected for measurement. This not only requires professional technicians to operate, but may also lead to related electrical risks and economic losses. Summary of the invention

[0003] In view of this, the present invention provides a transformer winding axial displacement detection system, method and related equipment.

[0004] The specific technical scheme of the first embodiment of the present invention is: a transformer winding axial displacement detection system, the system comprising: a signal generator, a signal receiver, a first displacement platform, a second displacement platform and a host computer; the signal generator is arranged on the first displacement platform, the signal receiver is arranged on the second displacement platform, the first displacement platform and the second displacement platform are arranged on the same side of the transformer winding, and the distance between the first displacement platform and the transformer is the same as the distance between the second displacement platform and the transformer; the first displacement platform and the second displacement platform are used to move within a preset range; the signal generator is used to send a pulse wave to a winding target point of the transformer within different moving ranges; the signal receiver is used to receive a pulse wave reflected by the winding target point; the host computer is used to obtain a time difference, the time difference being the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and all time differences and all reflected pulse waves are identified using a preset model to obtain the winding axial displacement data of the transformer.

[0005] The specific technical solution of the second embodiment of the present invention is: a transformer winding axial displacement detection method, applied to the transformer winding axial displacement detection system as described in the first embodiment of the present application, the method comprising: controlling the first displacement platform and the second displacement platform to move within a preset range so that the signal generator moves with the movement of the first displacement platform, and the signal receiver moves with the movement of the second displacement platform; controlling the signal generator to send a pulse wave to the winding target point of the transformer; controlling the signal receiver to receive the pulse wave reflected by the winding target point; obtaining a time difference, the time difference being the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and using a preset model to identify all time differences and all reflected pulse waves to obtain the transformer winding axial displacement data.

[0006] Preferably, the preset range includes a total positive displacement range and a total negative displacement range when no fault occurs in the winding of the transformer.

[0007] Preferably, the method of using a preset model to identify all time differences and all reflected pulse waves to obtain the winding axial displacement data of the transformer includes: obtaining the Euclidean distance of each reflected pulse wave; and using a preset model to identify all Euclidean distances and all time differences to obtain the winding axial displacement data.

[0008] Preferably, the preset model is used to output the winding axial displacement data according to different time differences and different Euclidean distances; then the use of the preset model to identify all Euclidean distances and all time differences to obtain the winding axial displacement data includes: matching each time difference with the Euclidean distance corresponding to the time difference into a feature data group; inputting all the feature data groups into the preset model, and the preset model outputs the winding axial displacement data according to all the feature data groups.

[0009] Preferably, the method of obtaining the Euclidean distance of each reflected pulse wave includes: obtaining the initial reflected pulse wave when the signal generator is in an initial position; the initial position is the position where the signal generator has not moved; and obtaining the Euclidean distance of each reflected pulse wave based on all reflected pulse waves and the initial reflected pulse wave.

[0010] Preferably, the method of obtaining the Euclidean distance of each reflected pulse wave based on all the reflected pulse waves and the initial reflected pulse wave includes: obtaining the first amplitude of the initial reflected pulse wave; obtaining the second amplitude of all the reflected pulse waves; and obtaining the Euclidean distance of each reflected pulse wave based on the first amplitude, all the second amplitudes and the number of reflected pulse waves.

[0011] Preferably, the Euclidean distance of each reflected pulse wave is obtained using the following formula:

[0012] in, is the Euclidean distance of the x-th reflected pulse wave, is the number of reflected pulse waves, is the second amplitude of the x-th reflected pulse wave, is the first amplitude.

[0013] The specific technical solution of the third embodiment of the present invention is: a transformer winding axial displacement detection device, including a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the second embodiments of the present application.

[0014] The specific technical solution of the fourth embodiment of the present invention is: a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to perform the steps of the method described in any one of the second embodiments of the present application.

[0015] Implementing the embodiments of the present invention will have the following beneficial effects: The present invention includes a signal generator, a signal receiver, a first displacement platform, a second displacement platform and a host computer; the first displacement platform and the second displacement platform are used to move within a preset range; the signal generator sends a pulse wave to a target point of a transformer winding within different moving ranges; the signal receiver receives the pulse wave reflected by the target point of the winding; the host computer obtains a time difference, which is the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and uses a preset model to identify all time differences and all reflected pulse waves to obtain the axial displacement data of the transformer winding. The present invention utilizes the characteristics of high spatial resolution and strong penetration of pulse waves, uses signal transmission and receivers, compares the changes of pulse waves in different states, and combines the pattern recognition ability of the preset model to accurately determine the axial displacement of the winding, and realizes online monitoring of the axial displacement of the transformer winding, without the need for professional technical operations, and avoids related electrical risks and economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A top view of a transformer winding axial displacement detection system; Figure 2 Schematic diagram of the displacement direction of the signal generator and the signal receiver; Figure 3 A flowchart of a method for detecting axial displacement of transformer windings; Figure 4 Diagram of the steps to obtain the Euclidean distance of each reflected pulse wave; Figure 5 A diagram of the internal structure of a computer device; Among them, 101 is a signal generator; 102 is a signal receiver; 103 is a first displacement platform; 104 is a second displacement platform; 105 is a fixed bracket. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules that are inherent to these processes, methods, products or devices.

[0020] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] The first embodiment of the present application provides a schematic structural diagram of a transformer winding axial displacement detection system, so as to realize online monitoring of the transformer winding axial displacement, the system comprises: a signal generator 101, a signal receiver 102, a first displacement platform 103, a second displacement platform 104 and a host computer; the signal generator 101 is arranged on the first displacement platform 103, the signal receiver 102 is arranged on the second displacement platform 104, the first displacement platform 103 and the second displacement platform 104 are arranged on the same side of the transformer winding, and the distance between the first displacement platform 103 and the transformer is the same as the distance between the second displacement platform 104 and the transformer. The distance between the first displacement platform 103 and the second displacement platform 104 is the same as that between the first displacement platform 103 and the second displacement platform 104 is used to move within a preset range; the signal generator 101 is used to send a pulse wave to a target point of the winding of the transformer within different moving ranges; the signal receiver 102 is used to receive the pulse wave reflected by the target point of the winding; the host computer is used to obtain a time difference, which is the time difference between the time when the signal generator 101 sends the pulse wave and the time when the signal receiver 102 receives the reflected pulse wave, and a preset model is used to identify all time differences and all reflected pulse waves to obtain the winding axial displacement data of the transformer.

[0022] For details, please refer to Figure 1 The signal generator is a UWB signal generator, and the signal receiver is a UWB signal receiver. A window is cut out on the wall of the transformer oil tank and filled with insulating materials to form an insulation monitoring window. The UWB signal generator and the UWB receiver are installed on the insulation monitoring window. The UWB signal generator emits a UWB Gaussian single-cycle pulse wave to the target point on the winding at a certain time interval, and the UWB signal generator reaches the UWB signal receiver after being reflected by the winding target point. Because the winding is subjected to radial electromotive force, the winding will have a slight radial displacement during operation. Therefore, it is necessary to first use a piezoelectric ceramic displacement platform to change the position of the UWB signal generator, the UWB receiver and the winding target point when the transformer is not in operation to simulate the radial displacement of the transformer winding.

[0023] In the specific embodiments, see Figure 2 The signal generator and the signal receiver are mounted on the fixed bracket 105. The UWB signal generator and the signal receiver are placed on two piezoelectric ceramic displacement platforms respectively. The two piezoelectric ceramic displacement platforms are adjusted synchronously to change the length d of the piezoelectric ceramic at the same time. 4The size of the WUB signal generator and the receiver are used to synchronously fine-tune the position of the WUB signal generator and the receiver. The total range needs to be determined according to the maximum displacement caused by the radial electromotive force during the normal operation of the winding, and can be determined according to the physical structural parameters such as the transformer electrical parameters and the winding yield strength. Because the winding will receive radial electromotive forces outward and inward according to periodic changes during operation, the total range of the positive displacement of the winding is set to D1 (mm), the total range of the negative displacement is set to D2 (mm), and the initial position in the non-operating state is 0. The signal generator moves within the range of (-D2, D1) with the initial position as the coordinate origin, and sends a pulse wave to the winding target point of the transformer; the signal receiver is used to receive the pulse wave reflected by the winding target point; the host computer obtains the time difference between the reflected pulse wave received by each signal receiver and the pulse wave sent by the signal generator, and uses the preset model to identify all time differences and all reflected pulse waves to obtain the axial displacement data of the transformer winding.

[0024] The system in this embodiment utilizes the high spatial resolution and strong penetration ability of pulse waves. By using signal transmitters and receivers, comparing the changes in pulse waves under different states, and combining the pattern recognition ability of a preset model, the axial displacement of the winding can be accurately determined, thereby realizing online monitoring of the axial displacement of the transformer winding. No professional technical operation is required, thus avoiding related electrical risks and economic losses.

[0025] In the specific embodiments, see Figure 3 , is a flowchart of a method for detecting axial displacement of a transformer winding in the second embodiment of the present application, which is applied to the transformer winding axial displacement detection system as described in the first embodiment of the present application, and is characterized in that the method includes: Step 201: Control the first displacement platform and the second displacement platform to move within a preset range, so that the signal generator moves with the movement of the first displacement platform, and the signal receiver moves with the movement of the second displacement platform; Step 202: Control the signal generator to send a pulse wave to a target point of the transformer winding; Step 203, controlling the signal receiver to receive the pulse wave reflected by the winding target point; Step 204, obtaining a time difference, where the time difference is the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and using a preset model to identify all time differences and all reflected pulse waves to obtain the axial displacement data of the transformer winding.

[0026] Specifically, the piezoelectric ceramic displacement platform is adjusted so that the UWB signal generator performs step-by-step scanning within the range of (-D2, D1) with a step length of 1 mm. The UWB signal generator emits a UWB Gaussian single-cycle pulse wave after each distance adjustment, which is received by the signal receiver after being reflected by the winding target point. After each distance adjustment, the time difference ∆t from the signal generator sending the signal to the signal receiver receiving the UWB signal, as well as the UWB pulse wave A(x) received by the signal receiver are recorded, where the UWB pulse wave received at the initial position is A(0). Based on all the time differences ∆t, all A(x) and A(0), the preset model is used for identification to obtain the winding axial displacement data of the transformer.

[0027] This method utilizes the high spatial resolution and strong penetration ability of pulse waves. By using signal transmitters and receivers, comparing the changes in pulse waves under different states, and combining the pattern recognition ability of the preset model, the axial displacement of the winding can be accurately determined, and online monitoring of the axial displacement of the transformer winding can be achieved. No professional technical operation is required, avoiding related electrical risks and economic losses.

[0028] In a specific embodiment, the preset range includes the total positive displacement range and the total negative displacement range of the transformer winding when no fault occurs. Specifically, the winding will shrink and expand under the action of the electric force, and the amount of shrinkage and expansion refers to the total displacement range of the winding. The measurement of winding displacement usually involves the accurate capture and recording of the change in the position of the winding. This can be achieved through various sensors and measuring devices, such as displacement sensors, laser rangefinders, etc. These devices can monitor the position changes of the winding in real time and convert these changes into electrical signals or other recordable forms. Specifically, select a suitable displacement measuring device, such as a displacement sensor, a laser rangefinder, etc., to ensure that the precision and accuracy of the measuring device meet the measurement requirements. Install the measuring device in a position where the displacement change of the winding can be accurately captured, ensure that the connection between the measuring device and the winding is stable and reliable, and avoid measurement errors. Before performing formal measurements, calibrate the measuring device to ensure the accuracy of its measurement results. Start the measuring device and start recording the position change of the winding. As needed, the displacement data of the winding at different time points can be recorded. The collected displacement data is processed and analyzed to calculate the total positive displacement range and the total negative displacement range when the winding is not faulty. Statistical methods, data fitting and other techniques can be used to extract and analyze key information in the data. The total positive displacement range refers to the maximum distance that the winding moves in the positive direction relative to its initial position during normal operation. The total positive displacement range can be obtained by calculating the maximum displacement value of the winding during the positive movement. The total negative displacement range refers to the maximum distance that the winding moves in the negative direction relative to its initial position during normal operation. The total negative displacement range can be obtained by calculating the maximum displacement value of the winding during the negative movement.

[0029] In a specific embodiment, the use of a preset model to identify all time differences and all reflected pulse waves to obtain the winding axial displacement data of the transformer includes: obtaining the Euclidean distance of each reflected pulse wave; and using a preset model to identify all Euclidean distances and all time differences to obtain the winding axial displacement data. Specifically, the preset model can be a neural network, which can finely process time information and use the time difference of pulse signals to accurately measure distance and displacement, thereby achieving high-precision winding axial displacement data acquisition.

[0030] In a specific embodiment, the obtaining of the Euclidean distance of each reflected pulse wave includes: obtaining the initial reflected pulse wave when the signal generator is at an initial position; the initial position is a position where the signal generator has not moved; and obtaining the Euclidean distance of each reflected pulse wave based on all reflected pulse waves and the initial reflected pulse wave. Specifically, in order to simplify the amount of calculation during field use, the difference between the reflected pulse wave received by the signal receiver under different displacement conditions and the reflected pulse wave at the initial position is compared based on the characteristic value of the amplitude Euclidean distance (MED) index.

[0031] In the specific embodiments, see Figure 4 , the obtaining of the Euclidean distance of each reflected pulse wave according to all reflected pulse waves and the initial reflected pulse wave comprises: Step 301, obtaining a first amplitude of the initially reflected pulse wave; Step 302: Obtain the second amplitude of all reflected pulse waves; Step 303: Obtain the Euclidean distance of each reflected pulse wave according to the first amplitude, all second amplitudes and the number of reflected pulse waves.

[0032] Specifically, the amplitude of the pulse wave reflects the intensity or size of the pulse wave. When the pulse wave encounters different media or obstacles, it will be reflected, and the wave formed is the reflected pulse wave. By calculating the Euclidean distance of each reflected pulse wave, the differences between the pulse waves can be quantitatively analyzed. This quantitative analysis helps to more accurately identify and analyze the characteristics of the pulse wave, such as waveform changes, attenuation, etc.; combining the first amplitude, the total second amplitude and the number of reflected pulse waves to calculate the Euclidean distance can improve the accuracy of the measurement. Because this method comprehensively considers multiple characteristic parameters of the pulse wave, it can more comprehensively reflect the changes in the pulse wave.

[0033] In a specific embodiment, the Euclidean distance of each reflected pulse wave is obtained using the following formula:

[0034] in, is the Euclidean distance of the x-th reflected pulse wave, is the number of reflected pulse waves, is the second amplitude of the x-th reflected pulse wave, is the first amplitude.

[0035] In a specific embodiment, the preset model is used to output the winding axial displacement data according to different time differences and different Euclidean distances; then the use of the preset model to identify all Euclidean distances and all time differences to obtain the winding axial displacement data includes: matching each time difference with the Euclidean distance corresponding to the time difference into a feature data group; inputting all the feature data groups into the preset model, and the preset model outputs the winding axial displacement data according to all the feature data groups.

[0036] Specifically, the data set obtained by scanning with a step of 1 mm in the range of (-D2, D1) is [P(x)]=[P(-D2), P(-D2+1),···P(0),···, P(D1-1), P(D1)=[(∆t(-D2), MED(-D2)), (∆t(-D2+1), MED(-D2+1)),···,(∆t(0), 0),···, (∆t(D1-1), MED(D1-1)), (∆t(D1), MED(D1))], wherein (∆t(-D2), MED(-D2)) is a pair of feature data sets, and (∆t(-D2+1), MED(-D2+1)) is a pair of feature data sets. All feature data sets are input into the neural network, and the neural network outputs the winding axial displacement data according to all feature data sets.

[0037] In a specific embodiment, a neural network is trained using a reference data set to obtain the characteristics of the UWB pulse wave reception time and the signal amplitude Euclidean distance after different radial displacements occur under the normal radial electromotive force of the transformer winding. Multiple scans can be performed when obtaining reference data to obtain multiple reference data sets, making the training data more accurate. The neural network simplifies the calculation of the radial displacement during the operation of the transformer and determines whether the radial displacement meets the characteristics of the reference data. Through the judgment of the neural network trained in advance, the calculation amount of the system can be greatly reduced, so that the on-site monitoring results can be obtained more quickly and more suitable for substation sites.

[0038] The high spatial resolution of the pulse wave enables the precise capture of the tiny axial displacement changes of the winding. By comparing the pulse waves in different states, the high-precision measurement of the winding displacement can be achieved, and the accuracy of the measurement can be improved. This method does not require direct contact with the winding, avoiding errors and interference caused by contact. Non-contact detection is also suitable for complex structures that are difficult to directly contact, which improves the flexibility and safety of measurement. Pulse wave technology can monitor the axial displacement of the winding in real time and detect abnormal changes in time. Combined with the pattern recognition ability of the preset model, it can warn the winding state, detect potential faults in advance, and avoid equipment damage and accidents. The pulse wave has a strong penetration ability and can penetrate the complex structure and materials inside the transformer to achieve accurate measurement of the winding displacement. This makes this method suitable for transformer winding displacement measurement in various complex environments, improving the scope of application and reliability of the measurement. By collecting and analyzing pulse wave data, a visual image and report of the winding displacement can be generated. This helps operation and maintenance personnel to intuitively understand the winding state, perform data analysis and fault diagnosis, and provide strong support for equipment maintenance and management. This method can achieve fast and accurate measurement of winding displacement, improving operation and maintenance efficiency. At the same time, through real-time monitoring and early warning, it can reduce equipment downtime, reduce maintenance costs, and improve the reliability and economy of transformer operation. The use of pulse wave technology to measure the axial displacement of transformer windings has many substantial benefits, such as high precision, non-contact detection, real-time monitoring and early warning, applicability to complex environments, data visualization and analysis, and improved operation and maintenance efficiency. These advantages make this method have broad application prospects and important practical value in the field of transformer winding displacement measurement.

[0039] In a specific embodiment, the third embodiment of the present application provides a transformer winding axial displacement detection device, including a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the second embodiments of the present application. The device in this embodiment utilizes the characteristics of high spatial resolution and strong penetration of pulse waves, and by using signal transmitters and receivers, comparing the changes of pulse waves in different states, and combining the pattern recognition ability of neural networks, the axial displacement of the winding can be accurately determined, and the online monitoring of the axial displacement of the transformer winding can be realized, without the need for professional technical operations, and avoiding related electrical risks and economic losses.

[0040] In a specific embodiment, the fourth embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the method described in any one of the second embodiments of the present application. The storage medium in this embodiment utilizes the characteristics of high spatial resolution and strong penetration of pulse waves, and by using signal transmitters and receivers, comparing the changes of pulse waves in different states, and combining the pattern recognition ability of neural networks, the axial displacement of the winding can be accurately determined, and the online monitoring of the axial displacement of the transformer winding can be realized, without the need for professional technical operations, and avoiding related electrical risks and economic losses.

[0041] Figure 5 The internal structure of a computer device in one embodiment is shown. The computer device can be a terminal or a server. Figure 5 The computer device includes a processor, a memory, etc. connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. Those skilled in the art can understand that Figure 5 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.

[0042] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications 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. The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A transformer winding axial displacement detection system, characterized in that: The system comprises: a signal generator, a signal receiver, a first displacement platform, a second displacement platform and a host computer; The signal generator is arranged on a first displacement platform, the signal receiver is arranged on a second displacement platform, the first displacement platform and the second displacement platform are arranged on the same side of the transformer winding, and the distance between the first displacement platform and the transformer is the same as the distance between the second displacement platform and the transformer; The first displacement platform and the second displacement platform are used to move within a preset range; The signal generator is used to send pulse waves to winding target points of the transformer within different moving ranges; The signal receiver is used to receive the pulse wave reflected by the winding target point; The host computer is used to obtain the time difference, which is the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and use a preset model to identify all time differences and all reflected pulse waves to obtain the axial displacement data of the transformer winding.

2. A transformer winding axial displacement detection method, applied to the transformer winding axial displacement detection system as claimed in claim 1, characterized in that: The method comprises: Controlling the first displacement platform and the second displacement platform to move within a preset range, so that the signal generator moves with the movement of the first displacement platform, and the signal receiver moves with the movement of the second displacement platform; Controlling the signal generator to send a pulse wave to a target point of the transformer winding; Controlling the signal receiver to receive the pulse wave reflected by the winding target point; The time difference is obtained, where the time difference is the time difference between the time when the signal generator sends the pulse wave and the time when the signal receiver receives the reflected pulse wave, and all the time differences and all the reflected pulse waves are identified using a preset model to obtain the axial displacement data of the transformer winding.

3. The transformer winding axial displacement detection method according to claim 2, characterized in that: The preset range includes a total positive displacement range and a total negative displacement range when no fault occurs in the winding of the transformer.

4. The transformer winding axial displacement detection method according to claim 2, characterized in that: The method of using a preset model to identify all time differences and all reflected pulse waves to obtain winding axial displacement data of the transformer includes: Get the Euclidean distance of each reflected pulse wave; The winding axial displacement data is obtained by identifying all Euclidean distances and all time differences using a preset model.

5. The transformer winding axial displacement detection method according to claim 4, characterized in that: The preset model is used to output winding axial displacement data according to different time differences and different Euclidean distances; then the use of the preset model to identify all Euclidean distances and all time differences to obtain the winding axial displacement data includes: Match each time difference with the Euclidean distance corresponding to the time difference into a feature data group; All characteristic data groups are input into the preset model, and the preset model outputs the winding axial displacement data according to all characteristic data groups.

6. The transformer winding axial displacement detection method according to claim 4, characterized in that: The step of obtaining the Euclidean distance of each reflected pulse wave comprises: Acquire an initial reflected pulse wave when the signal generator is at an initial position; the initial position is a position where the signal generator has not moved; The Euclidean distance of each reflected pulse wave is obtained according to all reflected pulse waves and the initially reflected pulse wave.

7. The transformer winding axial displacement detection method according to claim 6, characterized in that: The step of obtaining the Euclidean distance of each reflected pulse wave according to all reflected pulse waves and the initially reflected pulse wave comprises: Acquire a first amplitude of the initially reflected pulse wave; Acquire the second amplitude of all reflected pulse waves; The Euclidean distance of each reflected pulse wave is obtained according to the first amplitude, the total second amplitudes and the number of reflected pulse waves.

8. The transformer winding axial displacement detection method according to claim 7, characterized in that: The Euclidean distance of each reflected pulse wave is obtained using the following formula: in, is the Euclidean distance of the x-th reflected pulse wave, is the number of reflected pulse waves, is the second amplitude of the x-th reflected pulse wave, is the first amplitude.

9. A transformer winding axial displacement detection device, comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 2 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 2 to 8.

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