GIS (Gas Insulated Switchgear) internal mechanical defect nondestructive testing device adopting pulse laser and working method of GIS internal mechanical defect nondestructive testing device

Abstract

The invention provides a GIS internal mechanical defect nondestructive testing device adopting a pulse laser and a working method thereof, and the working method comprises the following steps: transmitting an excitation signal with a specific parameter to a conductor through the pulse laser mounted in a manhole, exciting the surface of the conductor to generate a mechanical vibration signal, and reflecting a vibration response signal; a vibration response signal of the surface is received by a receiving antenna. A physical neural network is fused with a physical law of mechanical vibration, an excitation signal and a vibration response signal are analyzed, a mapping relation between the excitation signal and the vibration response signal is constructed, defect information in a conductor can be inverted through the mapping relation, and accurate positioning of internal defects is realized. According to the GIS mechanical defect diagnosis method and device provided by the invention, non-contact detection and positioning of the GIS internal mechanical defects can be realized on the premise that the internal structure of equipment is not damaged, and the defect detection rate of a GIS bus can be improved.

Description

Technical Field

[0001] This invention proposes a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser and its working method, which relates to the field of condition monitoring technology for high-voltage power transmission and transformation equipment. Background Technology

[0002] GIS equipment condition monitoring devices are an important component of power systems, primarily used to detect and diagnose internal mechanical defects in GIS equipment, such as cracks and corrosion. These defects can lead to equipment failures or even safety accidents, making non-destructive testing of internal mechanical defects in GIS equipment of great significance.

[0003] Currently, traditional methods for detecting internal defects in GIS typically rely on periodic disassembly and inspection. This method is not only time-consuming and labor-intensive but also carries a high risk, potentially leading to further damage to the equipment. Traditional GIS internal defect detection methods require complex sensors and instruments, and necessitate professional data analysis and diagnosis. Existing technologies for GIS internal defect detection suffer from the following problems: 1. High cost: Traditional condition monitoring methods require a large number of specialized equipment and instruments, resulting in high monitoring costs. Furthermore, the large number of GIS systems requiring monitoring increases investment and maintenance costs. 2. Low efficiency: Traditional monitoring methods require manual data collection, analysis, and diagnosis, which is time-consuming and labor-intensive. Manual processing is inefficient and makes it difficult to detect anomalies promptly. 3. Delayed response: Traditional methods are mainly based on offline monitoring, i.e., periodically collecting sample data for analysis. This means that if anomalies occur between two sampling periods, they cannot be detected and addressed in a timely manner, potentially leading to serious consequences. 4. Destructive to equipment: Some traditional detection methods may require disassembling the equipment for inspection, which is not only time-consuming and labor-intensive but also carries the risk of damaging the equipment. Summary of the Invention

[0004] In view of this, and in response to the problem that the mechanical condition of GIS power equipment is difficult to detect efficiently and accurately in the existing technology, this invention proposes a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser and its working method, which can effectively solve the existing problems mentioned in the background technology.

[0005] This invention proposes a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser and its working method, including the following:

[0006] A non-destructive testing device for internal mechanical defects of GIS using a pulsed laser is characterized by comprising a GIS device under test, a pulsed laser module, a receiving antenna, and an internal defect inversion and location module; wherein, the pulsed laser module is responsible for transmitting an excitation signal to the GIS device under test, and the GIS device under test will generate a mechanical vibration signal.

[0007] Furthermore, the receiving antenna receives the surface vibration signal of the GIS equipment under test and transmits it to the internal defect inversion and location module.

[0008] Furthermore, the pulsed laser operates at a wavelength of 1064nm ± 50nm.

[0009] Furthermore, the internal defect inversion and localization module uses a physical neural network to analyze the excitation signal and vibration response signal, and constructs a mapping relationship between the two.

[0010] A method for operating a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser, applicable to any one of the non-destructive testing devices for internal mechanical defects of GIS using a pulsed laser described in this invention, characterized in that the method for operating the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser includes the following:

[0011] Step S1: Emit an excitation signal to the GIS device under test through a pulsed laser installed in the inspection port;

[0012] Step S2: Emit an excitation signal with specific parameters to the GIS device under test through a pulsed laser installed in the inspection port;

[0013] Step S3: Receive the vibration signal generated on the surface of the GIS device under test through the receiving antenna;

[0014] Step S4: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, construct the mapping relationship between the two, and achieve precise location of internal defects by training and optimizing the physical neural network model.

[0015] Further, step S1 includes the following:

[0016] Step S11: Connect the GIS device under test: Connect the pulsed laser module and the receiving antenna module to the GIS device under test for locating internal mechanical defects.

[0017] Further, step S2 includes the following:

[0018] Step S21: Use the pulsed laser module to emit an excitation signal with specific parameters to the conductor of the GIS equipment under test; the module will convert the signal into mechanical vibration and transmit it to the receiving antenna module.

[0019] Further, step S3 includes the following:

[0020] Step S31: Receive vibration signals from the surface via the receiving antenna: The receiving antenna is used to capture the mechanical vibration response signals radiated from the conductor surface.

[0021] Further, step S4 includes the following:

[0022] Step S41: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, and construct the mapping relationship between the two.

[0023] Step S42: By training and optimizing the physical neural network model, the defect information inside the conductor is retrieved, and the internal defects are accurately located.

[0024] The present invention has the following advantages:

[0025] The diagnostic method and apparatus for GIS mechanical defects provided by this invention can achieve non-contact detection and location of internal mechanical defects in GIS without damaging the internal structure of the equipment, which helps to improve the defect detection rate of GIS busbars. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser, according to the present invention.

[0027] Figure 2 This is a flowchart illustrating the working method of a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser, according to the present invention.

[0028] Among them, 1-the GIS equipment to be tested; 2-the pulsed laser module; 3-the receiving antenna; 4-the internal defect inversion and location module. Detailed Implementation

[0029] The technical solution of the present invention will now be described in detail with reference to the accompanying drawings.

[0030] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0031] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations according to this application; as used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise; furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0032] like Figure 1 As shown, a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser is characterized by comprising a GIS device under test, a pulsed laser module, a receiving antenna, and an internal defect inversion and positioning module; wherein, the pulsed laser module is responsible for transmitting an excitation signal to the GIS device under test, and the GIS device under test will generate a mechanical vibration signal.

[0033] In one embodiment of the present invention, the receiving antenna receives the surface vibration signal of the GIS equipment under test and transmits it to the internal defect inversion and positioning module.

[0034] In one embodiment of the present invention, the pulsed laser operates at a wavelength of 1064nm ± 50nm. This wavelength is in the near-infrared band, has a high absorption rate on the surface of GIS metal conductors, and can be efficiently converted into mechanical vibration, making it suitable for non-contact excitation.

[0035] In one embodiment of the present invention, the internal defect inversion and localization module uses a physical neural network to analyze the excitation signal and vibration response signal and construct a mapping relationship between the two.

[0036] like Figure 2 As shown, a method for operating a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser is applied to any one of the non-destructive testing devices for internal mechanical defects of GIS using a pulsed laser described in this invention. The method for operating the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser includes the following:

[0037] Step S1: Emit an excitation signal to the GIS device under test through a pulsed laser installed in the inspection port;

[0038] Step S2: Emit an excitation signal with specific parameters to the GIS device under test through a pulsed laser installed in the inspection port;

[0039] Step S3: Receive the vibration signal generated on the surface of the GIS device under test through the receiving antenna;

[0040] Step S4: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, construct the mapping relationship between the two, and achieve precise location of internal defects by training and optimizing the physical neural network model.

[0041] In one embodiment of the present invention, step S1 includes the following:

[0042] Step S11: Connect the GIS device under test: Connect the pulsed laser module and the receiving antenna module to the GIS device under test for locating internal mechanical defects.

[0043] In one embodiment of the present invention, step S2 includes the following:

[0044] Step S21: Use the pulsed laser module to emit an excitation signal with specific parameters to the conductor of the GIS equipment under test; the module will convert the signal into mechanical vibration and transmit it to the receiving antenna module.

[0045] In one embodiment of the present invention, step S3 includes the following:

[0046] Step S31: Receive vibration signals from the surface via the receiving antenna: The receiving antenna is used to capture the mechanical vibration response signals radiated from the conductor surface.

[0047] In one embodiment of the present invention, step S4 includes the following:

[0048] Step S41: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, and construct the mapping relationship between the two;

[0049] When using physical neural networks to fuse the physical laws of mechanical vibration, the core principle is to use the wave equation of the elastic body as a constraint. The mapping relationship between the excitation signal u(t) (pulse laser amplitude and pulse width) and the vibration response v(t) (surface vibration velocity) satisfies:

[0050]

[0051] Where c is the propagation velocity of the vibration wave in the conductor, f(u,t) is the excitation source function, and k is the energy conversion coefficient. By minimizing the error (data loss) between the predicted and measured vibrations and the degree of dissatisfaction with the wave equation (physical loss), the training model inverts the defect location: when the defect exists, the vibration wave reflection time t r The distance L from the defect satisfies:

[0052]

[0053] Where the vibration wave reflection time t r .

[0054] Step S42: By training and optimizing the physical neural network model, the defect information inside the conductor is retrieved, and the internal defects are accurately located.

[0055] The above are preferred embodiments of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.

Claims

1. A non-destructive testing device for internal mechanical defects of GIS using a pulsed laser, characterized in that, The system includes a GIS device under test, a pulsed laser module, a receiving antenna, and an internal defect inversion and location module; wherein, the pulsed laser module is responsible for transmitting excitation signals to the GIS device under test, which will generate mechanical vibration signals.

2. The non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 1, characterized in that, The receiving antenna receives the surface vibration signal of the GIS equipment under test and transmits it to the internal defect inversion and location module.

3. The non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 1, characterized in that, The pulsed laser operates at a wavelength of 1064nm ± 50nm.

4. The non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 1, characterized in that, The internal defect inversion and localization module uses a physical neural network to analyze the excitation signal and vibration response signal, and constructs a mapping relationship between the two.

5. A method for operating a non-destructive testing device for internal mechanical defects of GIS using a pulsed laser, applied to the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser as described in any one of claims 1 to 4, characterized in that, The working method of the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser includes the following: Step S1: Emit an excitation signal to the GIS device under test through a pulsed laser installed in the inspection port; Step S2: Emit an excitation signal with specific parameters to the GIS device under test through a pulsed laser installed in the inspection port; Step S3: Receive the vibration signal generated on the surface of the GIS device under test through the receiving antenna; Step S4: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, construct the mapping relationship between the two, and achieve precise location of internal defects by training and optimizing the physical neural network model.

6. The working method of the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 5, characterized in that, Step S1 includes the following: Step S11: Connect the GIS device under test: Connect the pulsed laser module and the receiving antenna module to the GIS device under test for locating internal mechanical defects.

7. The working method of the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 5, characterized in that, Step S2 includes the following: Step S21: Use the pulsed laser module to emit an excitation signal with specific parameters to the conductor of the GIS equipment under test; the module will convert the signal into mechanical vibration and transmit it to the receiving antenna module.

8. The working method of the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 5, characterized in that, Step S3 includes the following: Step S31: Receive vibration signals from the surface via the receiving antenna: The receiving antenna is used to capture the mechanical vibration response signals radiated from the conductor surface.

9. The working method of the non-destructive testing device for internal mechanical defects of GIS using a pulsed laser according to claim 5, characterized in that, Step S4 includes the following: Step S41: Utilize a physical neural network to integrate the physical laws of mechanical vibration, analyze the excitation signal and vibration response signal, and construct the mapping relationship between the two; Step S42: By training and optimizing the physical neural network model, the defect information inside the conductor is retrieved, and the internal defects are accurately located.

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