Basin-type insulator internal defect identification method, system, equipment and medium

Abstract

The invention relates to the technical field of power equipment partial discharge detection, and discloses a basin-type insulator internal defect identification method, system and device and a medium, and the method comprises the steps: carrying out the first processing of a to-be-detected basin-type insulator with an internal defect, cooling the basin-type insulator to a preset low temperature through a refrigeration device, and keeping the temperature stable; acquiring thermal image data of the basin-type insulator by using an infrared imaging system; performing second processing on the thermal image data to obtain thermal information in the basin-type insulator; and performing defect identification according to the thermal information to complete detection of the internal defect type of the basin-type insulator. According to the invention, the unique thermal change of the basin-type insulator caused by internal defects can be clearly displayed, the accuracy and reliability of detection are improved, the insulator can be directly put into normal use after detection, the original state and use value of equipment are maintained, and a solid data foundation is provided for subsequent intelligent diagnosis and predictive maintenance.

Description

Technical Field

[0001] This invention relates to the field of partial discharge detection technology for power equipment, and in particular to a method, system, equipment, and medium for identifying internal defects in basin-type insulators. Background Technology

[0002] In power systems, basin-type insulators, as critical components, bear the important responsibilities of support and insulation, and their operating status directly affects the stability and safety of the system. Due to manufacturing defects, long-term exposure to electrical and mechanical stresses, and the corrosive effects of complex environmental factors, basin-type insulators are highly susceptible to defects such as bubbles, cracks, and impurities. These defects may not be obvious in the early stages, but they will gradually develop over time and with deteriorating operating conditions. In severe cases, they can lead to faults such as partial discharge and insulation breakdown, resulting in power system outages and causing huge economic losses and social impacts. Traditional methods for detecting internal defects in basin-type insulators, such as insulation resistance measurement, leakage current measurement, and distributed voltage measurement, suffer from drawbacks such as cumbersome operation, limited detection accuracy, difficulty in real-time monitoring, and severe susceptibility to electromagnetic interference, and cannot meet the high requirements of modern power systems for equipment reliability and real-time performance.

[0003] Infrared thermal imaging technology, as an advanced non-destructive testing method, has brought new opportunities for the detection of internal defects in basin-type insulators. Its principle is based on the fact that any object with a temperature above absolute zero continuously radiates infrared radiation, and the object's temperature state is closely related to its infrared radiation characteristics. Once a defect exists inside a basin-type insulator, during operation, changes in electrical parameters such as resistance and capacitance at the defect location, as well as local electric field distortion, will cause additional heat to be generated in that area, disrupting the overall thermal balance of the insulator and causing abnormal surface temperature distribution.

[0004] High-sensitivity infrared thermal imaging equipment can accurately capture these subtle temperature differences and present them as intuitive thermal images. This method offers significant advantages such as non-contact operation, high detection speed, real-time monitoring, and minimal environmental impact. It can promptly identify potential hazards without affecting the normal operation of the power system, providing a scientific basis for condition-based inspection and maintenance of power equipment, and effectively ensuring the safe and stable operation of the power system. However, during the manufacturing process of basin-type insulators, internal defects such as microbubbles and microcracks are small in size and often hidden deep within the material. When directly inspected with infrared imaging, the thermal anomalies caused by these defects are extremely weak, resulting in poor sensitivity to small or deeply located defects, making accurate detection difficult. At the same time, external factors such as temperature fluctuations and interference from surrounding heat sources in the detection environment can easily superimpose on the thermal signal of the insulator, severely affecting the accuracy of the detection results. Summary of the Invention

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a method, system, device and medium for identifying internal defects in basin insulators, which solves the problem that the existing technology has insufficient sensitivity and is easily affected by environmental interference when detecting small or deep defects inside basin insulators, resulting in limited accuracy in identifying subtle thermal anomalies.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, the present invention provides a method for identifying internal defects in a basin-type insulator, comprising:

[0009] After the first treatment of the pot-type insulator containing internal defects to be tested, the pot-type insulator is cooled to a predetermined low temperature by a refrigeration device and the temperature is kept stable.

[0010] Thermal image data of basin insulators were acquired using an infrared imaging system.

[0011] By performing a second processing on the thermal image data, thermal information inside the basin insulator is obtained;

[0012] Defect identification is performed based on the thermal information to complete the detection of internal defect types in the basin insulator.

[0013] In a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, the step of cooling the basin-type insulator to a predetermined low temperature and maintaining a stable temperature using a cooling device includes:

[0014] The aforementioned refrigeration device is used to cool the basin-type insulator by adiabatic expansion of high-pressure helium gas in the cold head of the refrigeration unit. When the basin-type insulator is cooled to a predetermined low temperature, the temperature is maintained for a period of time to stabilize the internal temperature distribution of the insulator.

[0015] The beneficial effects of this preferred technical solution are: it makes the temperature characteristics of the defect area more prominent in the infrared image, making it easier for infrared thermal imaging equipment to capture and detect, thereby further improving the detection efficiency.

[0016] As a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, the refrigeration device includes a refrigeration unit cold head, a temperature control sensor, a flexible connection, and a copper busbar.

[0017] The refrigeration unit's cold head is equipped with a temperature control sensor, which controls the output power of the cooling capacity to achieve precise control of the cooling rate.

[0018] The refrigeration unit's cold head is connected to the basin-type insulator via the flexible connection and the copper busbar;

[0019] The flexible connection adopts an integrated device of copper block and copper stranded wire. One end of the flexible connection is tightly connected to the cold head of the refrigerator, and the other end is firmly connected to the copper busbar.

[0020] The copper busbar is a long strip of copper conductor that wraps around the basin-shaped insulator during the cooling process to ensure uniform heat transfer.

[0021] As a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, it further includes:

[0022] To improve the heat transfer efficiency between the copper busbar and the basin insulator, graphene heat sinks are filled between the copper busbar and the basin insulator.

[0023] To improve the efficiency of cold energy transfer, thermal insulation cotton is wrapped around the flexible connection and copper busbar during the cooling process.

[0024] As a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, the second processing of the thermal image data includes:

[0025] Edge detection processing is performed on the acquired thermal image data to determine the object's outline and internal structural change characteristics by identifying abrupt changes in pixel intensity in the image;

[0026] The image after edge detection is subjected to Gaussian blurring. A convolution operation is performed on the image using a convolution kernel with a two-dimensional Gaussian function as its core, which attenuates the high-frequency components in the image and retains the low-frequency components.

[0027] The image after Gaussian blurring is then sharpened by weighting the gray values ​​of the edge pixels' neighborhoods to enhance the gray-level contrast between the edge pixels and their surrounding pixels.

[0028] The beneficial effects of this preferred technical solution are: it can clearly show the unique thermal changes of the basin insulator caused by internal defects, improve the accuracy and reliability of the test, and ensure that the insulator can be put into normal use directly after the test.

[0029] As a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, the thermal information inside the basin-type insulator includes: specific temperature values ​​at different locations on the surface of the basin-type insulator, spatial distribution of temperature on the surface of the basin-type insulator, temperature change trend over time, and degree of temperature difference between the defect area and the surrounding normal area.

[0030] As a preferred embodiment of the method for identifying internal defects in a basin-type insulator according to the present invention, the first processing of the basin-type insulator containing internal defects to be detected includes:

[0031] Perform a visual inspection on pot-type insulators with internal defects to ensure there is no obvious external damage;

[0032] Use a cleaning agent and a soft cloth to thoroughly remove dust and oil from the surface of the basin insulator.

[0033] Secondly, the present invention provides a system for identifying internal defects in a basin-type insulator, comprising:

[0034] The first processing module is used to perform a first processing on the pot-type insulator containing internal defects to be tested, and then cool the pot-type insulator to a predetermined low temperature and maintain the temperature stability through a cooling device.

[0035] The data acquisition module is used to acquire thermal image data of the basin insulator using an infrared imaging system;

[0036] The second processing module is used to obtain thermal information inside the basin insulator by performing a second processing on the thermal image data;

[0037] The defect identification module is used to identify defects based on the thermal information and to detect the types of internal defects in the basin insulator.

[0038] Thirdly, the present invention provides an electronic device, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor executes the computer-executable instructions to implement the steps of a method for identifying internal defects in a basin-type insulator.

[0039] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of a method for identifying internal defects in a basin-type insulator.

[0040] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a method, system, device, and medium for identifying internal defects in basin-type insulators. It employs a method of cooling the basin-type insulator before infrared detection, making the temperature characteristics of the defect area more prominent in the infrared image, and easier for infrared thermal imaging equipment to capture and detect, thus further improving detection efficiency. Compared to conventional detection methods that require a long waiting period for the basin-type insulator to reach a thermally stable state, cooling results in a lower initial temperature and a faster heat transfer rate, leading to more significant thermal characteristics and a shorter detection cycle. Regarding equipment applicability, for some infrared thermal imaging devices that are difficult to detect minute defects due to sensitivity limitations, the enhanced thermal contrast of cooling detection can compensate for this deficiency, broadening the application range of the equipment. Furthermore, the changes in the thermal properties of the material are more stable during the cooling process, resulting in smaller fluctuations in the acquired thermal image data, which is beneficial for building a more accurate defect feature database. Furthermore, this invention can clearly demonstrate the unique thermal changes caused by internal defects in pot-type insulators, improving the accuracy and reliability of detection. It ensures that the insulators can be put into normal use directly after detection, maintaining the original state and usability of the equipment while ensuring the detection effect. This provides a solid data foundation for subsequent intelligent diagnosis and predictive maintenance, comprehensively improving the detection level of internal defects in pot-type insulators and safeguarding the safe operation of the power system. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the overall process logic of the method for identifying internal defects in a basin-type insulator provided in an embodiment of the present invention.

[0043] Figure 2 A schematic diagram of a refrigeration unit for a basin-type insulator internal defect identification method provided in an embodiment of the present invention.

[0044] Figure 3 This is a schematic diagram of the cooling structure of a basin-type insulator, which is part of the method for identifying internal defects in basin-type insulators provided in this embodiment of the invention.

[0045] Figure 4 This is a schematic diagram of a soft connection for a method of identifying internal defects in a basin-type insulator provided in an embodiment of the present invention.

[0046] Figure 5 This is a schematic diagram of the internal defect identification structure of the basin-type insulator provided in the embodiment of the present invention. Detailed Implementation

[0047] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0048] Example 1, referring to Figure 1 As one embodiment of the present invention, a method for identifying internal defects in a basin-type insulator is provided, such as... Figure 1 The specific steps shown are as follows:

[0049] S100: After the first treatment of the pot insulator containing internal defects to be tested, the pot insulator is cooled to a predetermined low temperature by a refrigeration device and the temperature is kept stable.

[0050] S200: Uses an infrared imaging system to acquire thermal image data of basin insulators;

[0051] S300: By performing a second processing on the thermal image data, thermal information inside the basin insulator is obtained;

[0052] S400: Based on thermal information, defect identification is performed to complete the detection of internal defect types in the basin insulator.

[0053] It should be noted that, to address the limitations of existing technologies in detecting minute or deeply hidden defects inside basin-type insulators—namely, insufficient sensitivity, susceptibility to environmental interference, and limited accuracy in identifying subtle thermal anomalies—steps S100–S400 employ a method of cooling the basin-type insulator before infrared detection. This makes the temperature characteristics of the defect area more prominent in the infrared image, making it easier for infrared thermal imaging equipment to capture and detect, thus further improving detection efficiency. Compared to conventional detection methods that require a long wait for the basin-type insulator to reach a thermally stable state, cooling results in a lower initial temperature, faster heat transfer rate, and quicker formation of significant thermal features, shortening the detection cycle. Regarding equipment applicability, for some infrared thermal imaging devices that struggle to detect minute defects due to sensitivity limitations, the enhanced thermal contrast from cooling detection can compensate for this deficiency, broadening the equipment's application range. Furthermore, the material's thermal properties change more stably during cooling, resulting in smaller fluctuations in the acquired thermal image data, which is beneficial for building a more accurate defect feature database. Furthermore, this invention can clearly demonstrate the unique thermal changes caused by internal defects in pot-type insulators, improving the accuracy and reliability of detection. It ensures that the insulators can be put into normal use directly after detection, maintaining the original state and usability of the equipment while ensuring the detection effect. This provides a solid data foundation for subsequent intelligent diagnosis and predictive maintenance, comprehensively improving the detection level of internal defects in pot-type insulators and safeguarding the safe operation of the power system.

[0054] Example 2, refer to Figures 2-5 Based on the previous embodiment, this embodiment provides a specific implementation method for identifying internal defects in basin-type insulators, and explains the technical means used in this method.

[0055] In this embodiment of the application, after performing the first treatment on the pot-type insulator containing internal defects to be tested, the pot-type insulator is cooled to a predetermined low temperature by a cooling device and the temperature is kept stable, which includes the following sub-steps A1 to A2:

[0056] In A1: The first treatment of the pot-type insulator containing internal defects to be inspected includes:

[0057] Perform a visual inspection on pot-type insulators with internal defects to ensure there is no obvious external damage;

[0058] Use a specialized cleaner and a clean, soft cloth to thoroughly remove dust and oil from the surface of the basin insulator to avoid interfering with heat transfer and infrared detection results.

[0059] In an optional embodiment, the first process can also be surface roughness detection and correction. A laser profilometer is used to perform three-dimensional morphological scanning on the surface of the basin insulator to obtain surface roughness parameters. For areas with excessive roughness, a precision polishing device is used for local repair to ensure that the surface flatness meets the requirements of infrared detection.

[0060] In another alternative embodiment, the first treatment may also be a surface coating treatment, in which a nano-level infrared enhancement coating is uniformly sprayed onto the cleaned surface of the basin insulator. This coating consists of metal oxide nanoparticles and organic solvents in a specific ratio, which can improve the consistency of surface infrared emissivity without affecting the electrical performance of the insulator.

[0061] In A2: Cooling the basin insulator to a predetermined low temperature and maintaining a stable temperature by means of a refrigeration device includes: using a refrigeration device to cool the basin insulator by means of adiabatic expansion of high-pressure helium gas in the cold head of the refrigeration machine; when the basin insulator is cooled to the predetermined low temperature, maintaining the temperature for a period of time to stabilize the internal temperature distribution of the insulator.

[0062] Specifically, the refrigeration unit includes the refrigeration unit cold head, temperature control sensor, flexible connection, and copper busbar;

[0063] like Figure 2 The refrigeration unit shown has a temperature control sensor on its cold head. The cold output power is controlled by the temperature control sensor to achieve precise control of the cooling rate.

[0064] The overall connection of the equipment is as follows Figure 3As shown, the cold head of the refrigeration unit is connected to the basin insulator via a flexible connector and a copper busbar to transfer the cooling capacity. The copper busbar is a long strip of copper conductor that wraps around the basin insulator during the cooling process to ensure that the cooling capacity is transferred evenly.

[0065] like Figure 4 As shown, the flexible connection adopts an integrated device of copper block and copper stranded wire. One end of the flexible connection is tightly connected to the cold head of the refrigeration unit, and the other end is firmly connected to the copper busbar.

[0066] Specifically, the refrigeration unit also includes:

[0067] To improve the heat transfer efficiency between the copper busbar and the basin insulator, graphene heat sinks are filled between the copper busbar and the basin insulator.

[0068] To improve the efficiency of cold energy transfer, thermal insulation cotton is wrapped around the flexible connection and copper busbar during the cooling process.

[0069] In this embodiment, before formal testing, the basin-type insulator is cooled to -50°C. After the chiller is turned on, the cooling output is adjusted based on data from the temperature sensor, and the insulator is cooled steadily at a set rate. During the cooling process, the insulator's condition is continuously monitored to ensure uniform cooling and prevent localized abnormal cooling from affecting the test results. After reaching -50°C, this temperature is maintained for a period of time to stabilize the internal temperature distribution of the insulator, preparing it for subsequent infrared imaging testing.

[0070] It should be noted that step S100 above effectively enhances the thermal contrast between the defective area and the normal area by processing the basin insulator to be tested and precisely controlling the temperature, which significantly amplifies the originally slight temperature difference, creating more favorable conditions for subsequent infrared detection, while greatly shortening the stabilization time required for detection and improving the overall detection efficiency.

[0071] In this embodiment of the application, the above step S200, which uses an infrared imaging system to acquire thermal image data of the basin insulator, includes:

[0072] The infrared imager is embedded inside a light shield. The light shield not only effectively blocks stray light and unnecessary infrared radiation interference from the external environment, ensuring that the thermal parameters obtained during the detection process are pure and accurate, but also provides a stable working environment for the infrared imager.

[0073] During formal testing, the equipment first collects images and thermal parameters of the basin insulator; after collection, the data is quickly sent to a computer for real-time display and data storage.

[0074] It should be noted that the above step S200 uses an infrared imaging system with a light shield to collect thermal image data, effectively shielding environmental interference and ensuring that the acquired thermal image data has higher purity and accuracy.

[0075] In this embodiment of the application, the above step S300, which involves performing a second process on the thermal image data to obtain thermal information inside the basin insulator, includes the following sub-steps C1 to C2:

[0076] In C1: the steps for the second processing of the thermal image data include:

[0077] Edge detection processing is performed on the acquired thermal image data to determine the object's outline and internal structural change characteristics by identifying abrupt changes in pixel intensity in the image;

[0078] Gaussian blurring is applied to the image after edge detection. A convolution operation is performed on the image using a convolution kernel with a two-dimensional Gaussian function as the core, which attenuates the high-frequency components in the image and retains the low-frequency components.

[0079] The image after Gaussian blurring is sharpened by weighting the gray values ​​of the edge pixels' neighborhood to enhance the gray-level contrast between the edge pixels and the surrounding pixels.

[0080] It should be noted that the acquired infrared images are first transmitted to a high-performance computing station equipped with a fully functional image preprocessing module. Edge detection is performed first, identifying regions of abrupt changes in pixel intensity to accurately capture locations of sharp brightness variations. These locations often represent changes in object contours or internal structures, providing crucial features for subsequent analysis. After edge detection, Gaussian blurring is then applied. The image is convolved with a kernel based on a two-dimensional Gaussian function. The two-dimensional Gaussian function constructs a convolution kernel with a specific weight distribution based on its standard deviation parameter. This kernel acts as an efficient frequency filter. It attenuates high-frequency components in the image, corresponding to sharp changes in details and edges, while preserving low-frequency components—regions with relatively smooth and slow-changing characteristics. This operation effectively reduces image noise, lowers the level of detail, and blurs boundaries and contours, effectively removing high-frequency information and preserving low-frequency information, resulting in a smoother and cleaner image. Finally, sharpening is performed. By weighting the gray values ​​of the edge pixels' neighborhood, the gray contrast between the edge pixels and the surrounding pixels is increased, making the edges that may have been blurry or relatively obscure stand out significantly. This greatly improves the image's clarity and resolution, making the image look clearer and facilitating accurate detection of internal defects in the basin insulator.

[0081] In an optional embodiment, the second processing can also be thermal image registration and alignment. A feature-point-based image registration algorithm is used to spatially align multiple frames of thermal images. By extracting SIFT feature points and calculating the affine transformation matrix, image offset caused by device movement or vibration is eliminated, ensuring the spatial consistency of multiple frames of thermal image data.

[0082] In another optional embodiment, the second processing can also be for temperature field reconstruction and three-dimensional visualization. Based on the thermal image sequence and spatial location information, a three-dimensional temperature field model of the basin insulator is constructed using volume rendering technology. Discrete temperature data is converted into a continuous three-dimensional thermal distribution map through a ray casting algorithm, which intuitively displays the spatial distribution characteristics of internal defects.

[0083] In C2: The thermal information inside the pot insulator includes: the specific temperature values ​​at different locations on the surface of the pot insulator, the spatial distribution of temperature on the surface of the pot insulator, the temperature change trend over time, and the degree of temperature difference between the defect area and the surrounding normal area.

[0084] It should be noted that step S300 optimizes the thermal image data through a professional image processing workflow, including edge detection, Gaussian blurring, and sharpening, which significantly improves image quality and makes potential defect features clearer and more identifiable, providing technical support for accurate identification of internal defects.

[0085] In this embodiment of the application, the above step S400, which identifies defects based on thermal information and completes the detection of internal defect types in the basin-type insulator, includes:

[0086] like Figure 5 The image shows the results of internal defect detection for a basin-type insulator. Figure 5 It was observed that some black spots existed in the central area of ​​the basin-type insulator. Subsequent verification revealed that these black spots were internal pores within the basin-type insulator. The main material of the basin-type insulator is generally a composite material such as epoxy resin, which has a relatively stable and high thermal conductivity. However, the gas filling the pores, such as air, has a much lower thermal conductivity than the main insulator material. When cooling the basin-type insulator, the cooling head of the chiller transfers cooling energy to the insulator through copper busbars and flexible connections. In normal areas, heat can be quickly conducted away through the main material, and the temperature drops rapidly. However, in areas with pores, the low thermal conductivity of the gas hinders heat conduction, causing the cooling rate in these areas to be significantly slower than in normal areas.

[0087] In the principle of thermal imaging, temperature is directly related to infrared radiation intensity; the higher the temperature, the stronger the infrared radiation intensity. In the inspection of basin-type insulators, normal parts cool down quickly and have a relatively low temperature, so the intensity of the emitted infrared radiation is relatively weak; while at the pore defects, due to the low thermal conductivity of the gas, the cooling is delayed, the temperature is relatively high, and the intensity of the emitted infrared radiation is relatively strong.

[0088] The detector in an infrared thermal imaging device can capture the infrared rays emitted by an object and convert them into electrical signals. Depending on the intensity of the received infrared rays, the device assigns different gray values ​​or colors when generating images, which in turn leads to color differences between defective and non-defective areas.

[0089] It should be noted that the above step S400 identifies defects based on the processed thermal information, which can accurately distinguish internal defects of different types and locations. The detection results are intuitive and reliable, providing a scientific basis for the maintenance decision of power equipment and effectively preventing potential failure risks.

[0090] Example 3: This example provides a system for identifying internal defects in a basin-type insulator, including:

[0091] The first processing module is used to perform a first processing on the pot-type insulator containing internal defects to be tested, and then cool the pot-type insulator to a predetermined low temperature and maintain the temperature stability through a cooling device.

[0092] The data acquisition module is used to acquire thermal image data of the basin insulator using an infrared imaging system;

[0093] The second processing module is used to obtain the thermal information inside the basin insulator by performing a second processing on the thermal image data;

[0094] The defect identification module is used to identify defects based on thermal information and to detect the types of internal defects in the basin insulator.

[0095] It should be noted that the technical solution of the pot-type insulator internal defect identification system is based on the same concept as the technical solution of the pot-type insulator internal defect identification method described above. For details not described in detail in the technical solution of the pot-type insulator internal defect identification system in this embodiment, please refer to the description of the technical solution of the pot-type insulator internal defect identification method described above.

[0096] The above-mentioned unit modules can be embedded in the processor of the electronic device in hardware form or independent of it, or they can be stored in the memory of the electronic device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0097] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for identifying internal defects in a basin-type insulator. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0098] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method proposed in the above embodiments.

[0099] The storage medium proposed in this embodiment belongs to the same inventive concept as the method proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0100] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute the method of the embodiments of the present invention.

[0101] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for identifying internal defects in a basin-type insulator, characterized in that, include: After the first treatment of the pot-type insulator containing internal defects to be tested, the pot-type insulator is cooled to a predetermined low temperature by a refrigeration device and the temperature is kept stable. Thermal image data of basin insulators were acquired using an infrared imaging system. By performing a second processing on the thermal image data, thermal information inside the basin insulator is obtained; Defect identification is performed based on the thermal information to complete the detection of internal defect types in the basin insulator.

2. The method for identifying internal defects in a basin-type insulator as described in claim 1, characterized in that, The process of cooling the basin-type insulator to a predetermined low temperature and maintaining a stable temperature using a refrigeration device includes: The aforementioned refrigeration device is used to cool the basin-type insulator by adiabatic expansion of high-pressure helium gas in the cold head of the refrigeration unit. When the basin-type insulator is cooled to a predetermined low temperature, the temperature is maintained for a period of time to stabilize the internal temperature distribution of the insulator.

3. The method for identifying internal defects in a basin-type insulator as described in claim 2, characterized in that, The refrigeration device includes a refrigeration unit cold head, a temperature control sensor, a flexible connection, and a copper busbar; The refrigeration unit's cold head is equipped with a temperature control sensor, which controls the output power of the cooling capacity to achieve precise control of the cooling rate. The refrigeration unit's cold head is connected to the basin-type insulator via the flexible connection and the copper busbar; The flexible connection adopts an integrated device of copper block and copper stranded wire. One end of the flexible connection is tightly connected to the cold head of the refrigerator, and the other end is firmly connected to the copper busbar. The copper busbar is a long strip of copper conductor that wraps around the basin-shaped insulator during the cooling process to ensure uniform heat transfer.

4. The method for identifying internal defects in a basin-type insulator as described in claim 3, characterized in that, Also includes: To improve the heat transfer efficiency between the copper busbar and the basin insulator, graphene heat sinks are filled between the copper busbar and the basin insulator. To improve the efficiency of cold energy transfer, thermal insulation cotton is wrapped around the flexible connection and copper busbar during the cooling process.

5. The method for identifying internal defects in a basin-type insulator as described in claim 4, characterized in that, The second processing of the thermal image data includes: Edge detection processing is performed on the acquired thermal image data to determine the object's outline and internal structural change characteristics by identifying abrupt changes in pixel intensity in the image; The image after edge detection is subjected to Gaussian blurring. A convolution operation is performed on the image using a convolution kernel with a two-dimensional Gaussian function as its core, which attenuates the high-frequency components in the image and retains the low-frequency components. The image after Gaussian blurring is then sharpened by weighting the gray values ​​of the edge pixels' neighborhoods to enhance the gray-level contrast between the edge pixels and their surrounding pixels.

6. The method for identifying internal defects in a basin-type insulator as described in claim 5, characterized in that, The thermal information inside the basin insulator includes: the specific temperature values ​​at different locations on the surface of the basin insulator, the spatial distribution of temperature on the surface of the basin insulator, the temperature change trend over time, and the degree of temperature difference between the defect area and the surrounding normal area.

7. The method for identifying internal defects in a basin-type insulator as described in claim 6, characterized in that, The first treatment of the pot-type insulator containing internal defects to be inspected includes: Perform a visual inspection on pot-type insulators with internal defects to ensure there is no obvious external damage; Use a cleaning agent and a soft cloth to thoroughly remove dust and oil from the surface of the basin insulator.

8. A system for identifying internal defects in a basin-type insulator, employing the method for identifying internal defects in a basin-type insulator as described in any one of claims 1 to 7, characterized in that, include: The first processing module is used to perform a first processing on the pot-type insulator containing internal defects to be tested, and then cool the pot-type insulator to a predetermined low temperature and maintain the temperature stability through a cooling device. The data acquisition module is used to acquire thermal image data of the basin insulator using an infrared imaging system; The second processing module is used to obtain thermal information inside the basin insulator by performing a second processing on the thermal image data; The defect identification module is used to identify defects based on the thermal information and to detect the types of internal defects in the basin insulator.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store computer-executable instructions, and when the processor executes the computer-executable instructions, it implements the steps of the method for identifying internal defects in a basin-type insulator as described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that: When the computer-executable instructions are executed by the processor, they implement the steps of the method for identifying internal defects in a basin-type insulator as described in any one of claims 1 to 7.

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