Method and system for evaluating risk degree of mechanical property of defective basin-type insulator based on infrared imaging

Abstract

The invention discloses a defect basin-type insulator mechanical property risk degree evaluation method and system based on infrared imaging, and belongs to the field of power equipment partial discharge detection.The method comprises the steps that infrared radiation signals of the surface of a test product in the temperature change process are collected, and time sequence temperature field distribution data are generated; calculating a temperature change rate based on the temperature field distribution data, positioning an internal heat conduction abnormal area and identifying bubble defects; carrying out mechanical property simulation on the basin-type insulator with the bubble defect, applying the same fixed mechanical load in the simulation process, and analyzing the stress conditions of the defect part and the whole body of the basin-type insulator; and evaluating the harmfulness to the mechanical property of the basin-type insulator. According to the method, the risk degree of the defective basin-type insulator can be judged, power transmission interruption or fluctuation caused by blind replacement or wrong judgment is avoided, various inconveniences and losses caused by power failure accidents are further reduced, maximum utilization of resources is achieved, and the power industry is promoted to develop towards the green and sustainable direction.

Description

Technical Field

[0001] This invention relates to the field of partial discharge detection in power equipment, specifically to a method and system for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging. Background Technology

[0002] In the complex and harsh operating environment of modern high-voltage electrical equipment, pot-type insulators always shoulder the two core missions of insulation and mechanical support. Although the presence of air bubbles inside a pot-type insulator disrupts its originally uniform and stable mechanical structure, significantly altering its mechanical properties, the presence of air bubbles does not necessarily mean it is unusable. In the field of power engineering, accurately assessing the hazard level provides a crucial basis for deciding whether a defective insulator can continue to be used. When a systematic evaluation process determines that the hazard level is low, it means that under current operating conditions, despite the presence of air bubbles, it still possesses a certain safety margin and reliability. This opens up a possible path for its continued service, avoiding premature scrapping and the resulting waste of resources and increased replacement costs. Accurately determining whether defective pot-type insulators can continue to be used helps maximize resource utilization. Against the backdrop of global advocacy for sustainable development, the power industry also faces the challenge of efficient resource utilization. If defective insulators with remaining usability can continue to function through hazard assessment, it can reduce the demand for raw material mining and processing, lower energy consumption and waste emissions, and promote the green and sustainable development of the power industry.

[0003] Active infrared thermography has demonstrated significant advantages over some commonly used methods in the field of basin insulator defect detection. Compared to traditional ultrasonic testing, it does not require contact with the object being tested, avoiding contact damage, and offers faster detection speeds, enabling efficient scanning of large areas. Compared to electrical testing, it is unaffected by electrical signal interference and can be used flexibly with or without power. Compared to X-ray testing, active infrared thermography is non-contact, more convenient, eliminates radiation hazards, and offers high safety, making it widely applicable in various scenarios. It also boasts high speed and efficiency, and is extremely sensitive to surface and near-surface defects, as well as defects caused by differences in material thermal properties. In contrast, X-ray testing is sensitive to defects with large density differences and is less effective at detecting thermally related defects. This makes active infrared thermography more advantageous in detecting various complex defects. However, traditional infrared thermography has limited resolution, and may struggle to accurately detect some minute defects.

[0004] Based on this, this invention proposes a method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging. This method first extracts information such as temperature, amplitude, and phase from thermal images, and then combines this with data processing techniques such as wavelet transform and fuzzy algorithms to improve the accuracy and reliability of defect detection. Finally, it integrates COMSOL simulation results to achieve an effective assessment of the mechanical performance hazard of defective basin-type insulators based on novel infrared imaging. In summary, this method not only helps determine the hazard level of defective basin-type insulators, avoiding power transmission interruptions or fluctuations caused by blind replacement or incorrect assessments, thereby reducing various inconveniences and losses caused by power outages, but also maximizes resource utilization, alleviates resource pressure to some extent, reduces environmental load, and promotes the green and sustainable development of the power industry. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by this invention is: how to detect internal bubble defects in basin insulators based on infrared imaging technology and assess their harmfulness to mechanical properties.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging, comprising the following steps:

[0008] Infrared radiation signals from the surface of the test specimen are collected during temperature changes to generate time-series temperature field distribution data. The temperature change rate is calculated based on the temperature field distribution data to locate abnormal areas of internal heat conduction and identify bubble defects. Mechanical performance simulation is performed on the pot-type insulator containing bubble defects. The same fixed mechanical load is applied during the simulation to analyze the stress at the defect location and the overall stress of the pot-type insulator. The impact on the mechanical performance of the pot-type insulator is assessed.

[0009] As a preferred embodiment of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging as described in this invention, the method for collecting infrared radiation signals from the surface of the test specimen during temperature changes includes novel infrared imaging detection, i.e., collecting the temperature change of the test specimen within a specified time.

[0010] By utilizing the differences in heat transfer caused by internal defects and structural discontinuities in an object, an infrared thermal imager can represent the anomalies inside the object being measured as changes in the temperature field, generating time-series temperature field distribution data.

[0011] As a preferred embodiment of the infrared imaging-based method for assessing the mechanical performance hazard of defective basin insulators according to the present invention, the method for locating abnormal internal heat conduction areas includes heating the basin insulator sample to a preset temperature using an external heat source, performing defect detection during the cooling process, and transmitting the time-series temperature field distribution data to a base station to identify bubble defects.

[0012] As a preferred embodiment of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging as described in this invention, the method for identifying bubble defects includes marking the infrared image with different colors to indicate high-temperature and low-temperature colors, wherein when the high-temperature color area is maintained for a longer time than the surrounding area, it is judged as a suspected bubble defect.

[0013] Meanwhile, the isotherm boundary between the suspected bubble defect area and the normal area is clear and persistent.

[0014] As a preferred embodiment of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging as described in this invention, the method for locating abnormal internal heat conduction areas further includes, after determining the suspected bubble defect area, plotting a temperature-time curve during the cooling process with temperature as the vertical axis and time as the horizontal axis based on the time-series temperature field distribution data.

[0015] The temperature-time curve is amplified by performing time derivative calculations to magnify the temperature change difference between the suspected bubble defect area and the normal area.

[0016] As a preferred embodiment of the infrared imaging-based method for assessing the mechanical performance hazard of defective basin insulators according to the present invention, the mechanical performance simulation includes: establishing three bubble defect models of basin insulators, each model differing only in the location of the bubble defect, with the bubble defect locations respectively set at the center of the basin insulator, the middle of the basin body of the basin insulator, and the edge of the basin insulator, and analyzing the stress magnitude at different defect locations.

[0017] As a preferred embodiment of the infrared imaging-based method for assessing the mechanical performance hazard of defective basin insulators described in this invention, the mechanical performance simulation further includes applying the same fixed load to basin insulators with different defects and analyzing the stress at the defective locations and the overall structure of the basin insulator under the same load.

[0018] The greater the stress, the greater the impact of the defect on the mechanical properties of the pot insulator.

[0019] Another objective of this invention is to provide a system for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging.

[0020] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a mechanical performance hazard assessment system for defective basin insulators based on infrared imaging, comprising: an infrared thermal imaging and defect identification module, a mechanical performance simulation analysis module, and a mechanical performance hazard assessment module;

[0021] The infrared thermal imaging and defect identification module collects infrared radiation signals from the surface of the basin-type insulator sample during active temperature changes, generates time-series temperature field distribution data, and identifies areas with abnormal heat conduction rates during the cooling process by analyzing the time-series temperature field data.

[0022] The mechanical performance simulation and analysis module constructs a calculation model of a basin insulator containing defects based on the defect information identified by the infrared module. The same fixed mechanical load is applied to the model to perform mechanical performance simulation calculations and compare and analyze the stress results of models with different defect locations under the same load.

[0023] The mechanical performance hazard assessment module evaluates the degree of danger posed by bubble defects to the basin insulator based on the stress analysis results provided by the simulation module. The greater the stress, the more severe the weakening of mechanical performance by the defect, and the higher the hazard level.

[0024] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging.

[0025] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging.

[0026] The beneficial effects of this invention are as follows: This invention addresses the limited resolution of traditional infrared thermal imaging, which may struggle to accurately detect minute defects. By extracting temperature, amplitude, and phase information from thermal images, this invention allows for precise defect location, fault assessment, and differentiation of different materials or structures. Amplitude information enhances defect contrast, quantifies defect features, and suppresses background noise. Phase information improves depth detection capabilities, separates overlapping defect signals, and enhances image resolution. By comprehensively utilizing this information, the limitations of traditional infrared detection can be overcome, enabling more accurate identification of defect details, determination of defect location and depth, and assessment of defect characteristics. This significantly improves the accuracy and reliability of infrared detection in various applications, providing stronger data support and decision-making basis for equipment fault diagnosis and quality control. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0028] Figure 1 The overall flowchart of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging, provided in one embodiment of the present invention, is shown below.

[0029] Figure 2 The image shows the detection results of bubble defects in a basin-type insulator, based on an infrared imaging-based method for assessing the mechanical performance hazard of defective basin-type insulators according to an embodiment of the present invention.

[0030] Figure 3 This is a simulation diagram showing the location of bubble defects in a method for assessing the mechanical performance hazard of a defective basin insulator based on infrared imaging, provided in one embodiment of the present invention.

[0031] Figure 4 Stress cloud diagrams of insulators with bubble defects at different locations, provided as an embodiment of the present invention, for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging.

[0032] Figure 5 The flowchart illustrates the assessment of the mechanical performance hazard of a basin-type insulator based on infrared imaging, as provided in one embodiment of the present invention. Detailed Implementation

[0033] 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.

[0034] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging, including:

[0035] S1. Collect infrared radiation signals from the surface of the test sample during temperature changes to generate time-series temperature field distribution data;

[0036] Based on the temperature field distribution data, the rate of temperature change is calculated to locate the internal heat conduction abnormality area and identify bubble defects.

[0037] It should be noted that the novel infrared imaging technology was used to preliminarily detect defective epoxy resin samples.

[0038] The preliminary detection method involves using novel infrared imaging to collect temperature changes of the test sample over a period of time.

[0039] When there are air bubbles inside a basin insulator, the temperature changes are different due to the different thermal conductivity of the defective and non-defective parts. Therefore, by utilizing the differences in heat transfer caused by defects or structural discontinuities inside the object, the infrared thermal imager visualizes the anomalies inside the object as temperature field changes, generating time-series temperature field distribution data.

[0040] By processing the recorded continuous infrared images, relevant amplitude and phase information can be obtained; where amplitude represents the superposition of the reflected wave and the incident wave, and phase shows the difference between the two waves; by analyzing the amplitude and phase signals, thermal information inside the material can be obtained.

[0041] The infrared images acquired by the equipment can distinguish between defective and non-defective areas. The data is transmitted to the base station for processing and analysis. By performing algorithmic processing on the infrared images, the morphology of the defects can be observed, and the type of defect can be determined.

[0042] For example, the temperature changes over time of a basin-type insulator and the gas inside a defect differ due to the different thermal conductivity of their materials; for instance, one might decrease by 5°C in 5 minutes, while the other decreases by 10°C. Observing the difference in temperature change can determine the presence of a defect. For example, if the temperature change rates of the tested items are essentially the same, it indicates that the tested item does not contain bubble defects. Furthermore, if the defect is observed to be spherical, it can be confirmed as a bubble defect.

[0043] The equipment measures the change in surface temperature of a sample over a period of time and collects the thermal radiation emitted from the sample surface to detect defects.

[0044] Temperature changes include both heating and cooling. Taking cooling as an example, the novel infrared imaging detection collects infrared radiation during the cooling process of the basin insulator.

[0045] During the inspection process, the basin insulator is first heated to about 60°C using a surface heat source halogen lamp, and then the infrared radiation during the cooling process of the basin insulator is collected for defect detection.

[0046] Specifically, in one embodiment of the present invention, the base station is a computer used to process the raw data, and plots a temperature-time curve with temperature as the vertical axis and time as the horizontal axis based on the collected temperature change data of the surface during the cooling process of the basin insulator.

[0047] By observing these curves, we can make a preliminary judgment on whether there are potential defect areas. In areas with defects, due to changes in thermal conductivity, the rate of temperature change is usually different from that in normal areas, specifically:

[0048] The thermal conductivity of gases is much lower than that of solid media, which causes defective regions to become thermal conduction barriers, making it difficult for heat to pass through.

[0049] Therefore, the temperature at the defective part of the bubble decreases much slower than that in the normal area, and even the temperature at the defective part is higher than that in the normal area in the later stage of cooling.

[0050] The difference can be observed by observing infrared images. The color of the normal area rapidly degrades from a high-temperature color (such as red) to a low-temperature color (such as blue), while the bubble area retains a higher-temperature color (such as orange or yellow). In addition, during the cooling process, the high-temperature color range of the bubble area shrinks slowly, and the color boundary (isotherm) with the normal area remains clearly distinguishable.

[0051] In other words, if the high-temperature colored area lasts longer than the surrounding area, it is judged as a suspected bubble defect; at the same time, the isotherm boundary between the suspected bubble defect area and the normal area is clear and persistent.

[0052] Therefore, after identifying the suspected bubble defect area, the derivative of the temperature-time curve can be used to locate the defect more precisely. Specifically, the absolute temperature difference between the normal area and the defect area is small, making it difficult to distinguish directly by observation. However, the derivative of the temperature curve can amplify the difference.

[0053] The formula for the first derivative is:

[0054]

[0055] The formula for the second derivative is:

[0056]

[0057] In the formula, T is temperature, t is time, and T i Let represent the temperature value at the i-th time point, and Δt represent the sampling time interval of the infrared imager.

[0058] In an optional embodiment, the preliminary determination of whether there are possible defective areas can be achieved by converting continuous infrared images of the cooling process into a time-series video stream, labeling each frame with a corresponding timestamp, setting temperature-color mapping rules (e.g., >50℃ = red, 40-50℃ = orange, <40℃ = blue), and the algorithm automatically identifying all connected regions in each frame that satisfy the high-temperature color (e.g., red, orange); recording the duration of each region from the first appearance of the high-temperature color to its complete degradation to the low-temperature color (blue); calculating the average and standard deviation of the duration of all high-temperature regions on the insulator surface; marking regions with a duration > average + 2 × standard deviation as suspected bubble defects; and selecting the marked suspected defective regions on the original infrared image and labeling their duration.

[0059] In another optional embodiment, the preliminary determination of whether there is a possible defect area can also be as follows: divide the surface of the basin insulator into several uniform rectangular grids, assign a unique ID to each grid, extract the temperature time series data of its center point during the cooling process, perform linear fitting on the temperature-time curve of each grid, calculate its average cooling rate, traverse each grid, calculate the difference between its average cooling rate and that of its eight neighboring grids; if the rate of a certain grid is less than 80% of the average rate of its neighborhood, it is marked as an abnormal grid; cluster adjacent abnormal grids to form continuous abnormal regions, output the infrared image of the marked clustered region, and label the temperature change rate of the abnormal grids.

[0060] S2. Perform mechanical performance simulation on the pot insulator with bubble defects. Apply the same fixed mechanical load during the simulation and analyze the stress at the defect location and the overall pot insulator.

[0061] Assess the potential harm to the mechanical properties of pot insulators.

[0062] It should be noted that the defective basin insulator is a basin insulator containing internal bubble defects. Once the defect type is determined, it can be confirmed that the defect is a bubble defect when the defective part is observed to be spherical.

[0063] The mechanical properties of basin insulators with different defect locations and sizes were simulated using COMSOL simulation software. During the simulation, the material of the basin insulator disc was set to epoxy resin, the material of the bubble defect was set to air, and the material of the connector was set to aluminum.

[0064] During the simulation, the same fixed load was applied to pot insulators with different defects, and the stress at the defective parts and the whole pot insulator under the same load was analyzed.

[0065] Three bubble defect models of basin insulators were established, with each model differing only in the location of the bubble defect: at the center of the basin insulator, in the middle of the basin body, and at the edge of the basin insulator, respectively. The stress magnitude at different defect locations was analyzed. All other conditions remained the same.

[0066] The same pressure was applied to the three models, and the stress magnitude at different defect locations was analyzed.

[0067] Stress is a measure of the internal forces per unit area resulting from the interaction between the internal parts of an object when it deforms due to external factors. Greater stress indicates a greater impact of defects on the mechanical properties of a basin-type insulator.

[0068] Stress concentration can weaken the strength of materials and may cause cracks. For pot insulator samples containing bubble defects, when considering the influence of the location of the defect on the mechanical properties, it can be assumed that the greater the stress at the defect location, the greater the influence of the defect on its mechanical properties.

[0069] Example 2, refer to Figures 2-5 This is the second embodiment of the present invention, which provides a method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0070] The experiment employed a novel infrared imaging detection technique, a cutting-edge non-destructive testing technology. This technique utilizes a thermal imaging system to acquire the thermal field signals of the component surface in real time and accurately, converting them into a clear and continuous image sequence. By analyzing this image sequence of surface temperature signals acquired by the thermal imaging system, differences in the thermal field signals between defective and defect-free areas of the component surface are identified, thereby enabling defect determination and identification. The active pulse infrared thermal wave non-destructive testing system used in the experiment is as follows: Figure 1As shown, the detection system adopts a portable, integrated design. Key components, the thermally excited halogen lamp and the infrared thermal imager, are all installed within a black condenser. The halogen lamp assembly is placed inside the condenser, confining the emitted light and minimizing energy loss. The total power of the halogen lamps ranges from 0 to 4000W, adjustable via an energy control module. The excitation time can be set from 0 to 30 seconds. The thermal imager used in the system has a frame rate of 50Hz, an infrared resolution of 640×512, a spatial resolution of 0.2mrad, a wavelength range of 8–14μm, a temperature measurement range of -40℃ to 150℃, an accuracy of ±1℃, and a touchscreen-controlled electric focusing method. During detection, the basin insulator is first heated to approximately 60℃ using a surface heat source halogen lamp. Then, infrared radiation during the cooling process is collected for defect detection. The collected data is plotted as a curve with temperature on the ordinate and time on the abscissa. By observing these curves, the presence of potential defect areas can be preliminarily determined. In defective regions, the rate of temperature change typically differs from that in normal regions due to altered thermal conductivity. Therefore, differentiating the temperature-time curve allows for more precise defect localization. Experimental results are as follows: Figure 2 As shown, the black spots near the center of the basin-type insulator are bubble defects.

[0071] The presence of air gaps significantly alters the stress distribution in their surrounding area. Near air gaps, due to the lack of material support, external loads cause stress to redistribute to accommodate this discontinuity, leading to a significant increase in stress in localized areas around the air gap, resulting in stress concentration. Furthermore, air gaps are often located within the material's interior or at the interface layer, resembling holes or notches; these abrupt geometric changes cause stress concentration. Near holes or notches, stress becomes more concentrated due to the limited space. In some cases, multiple air gaps or bubbles may coexist within the material; the interaction between these bubbles also leads to stress concentration, especially when the bubbles are close together, where the stress concentration phenomenon is more pronounced. Therefore, it is necessary to study the influence of bubble defect location on the stress distribution of pot insulators. The stress distortion of insulators with different bubble locations was analyzed using COMSOL simulation software. The simulation selected... Figure 3 The diagram shows three representative bubble locations and bubble defect locations. Assuming a bubble radius of 2 mm, stress simulations were performed on the basin insulator with bubble defects at the three locations. The resulting stress cloud diagrams are shown below. Figure 4As shown in the figure, under the applied load, only the stress in the bubble and its surrounding small area changed significantly; the stress at other locations was basically the same as that of the defect-free basin insulator. For the bubble defect, its location affects the maximum stress on the basin insulator to some extent. When the defect is located in the middle, the maximum stress on the epoxy resin is relatively small, approximately 0.29 MPa; when the defect is located at the bottom, the maximum stress on the epoxy resin is relatively large, approximately 0.34 MPa. This is mainly due to the different mechanical structures near different locations, which in turn affect the stress distribution at those locations.

[0072] Simulation results show that when bubble defects are located in the upper and lower parts of the basin of the insulator, the risk to the insulator's mechanical performance is high; when the bubble defects are located in the middle of the basin, the risk is low. Therefore, a method for assessing the risk to the mechanical performance of basin insulators based on the location of bubble defects is proposed. The assessment process is as follows: Figure 5 As shown, when a pot-type insulator containing only bubble defects is detected using a new type of infrared imaging, it can be determined whether the defect is located in the middle of the pot body. If so, it indicates that the bubble defect at this location poses a low risk to the insulation and may still be put into use, but further evaluation is required. If the defect is located in the upper or lower part of the pot body, it indicates that the bubble defect at this location poses a high risk to the insulation, and no further evaluation is needed to determine that the pot-type insulator cannot be put into use. This evaluation process can quickly screen out samples with defects that pose a significant risk to the mechanical properties of the pot-type insulator, while also screening out samples that, although containing bubble defects, may still be put into use. This not only reduces labor costs, but also allows the continued use of defective insulators to alleviate resource pressure to some extent, reduce environmental impact, and promote the green and sustainable development of the power industry.

[0073] Example 3 is the third embodiment of the present invention, which differs from the previous two embodiments in that:

[0074] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0075] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0076] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0077] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0078] Example 4 is the fourth embodiment of the present invention. This embodiment provides a mechanical performance hazard assessment system for defective basin insulators based on infrared imaging, including: an infrared thermal imaging and defect identification module, a mechanical performance simulation analysis module, and a mechanical performance hazard assessment module.

[0079] The infrared thermal imaging and defect identification module collects infrared radiation signals from the surface of the basin-type insulator sample during active temperature changes, generates time-series temperature field distribution data, and identifies areas with abnormal heat conduction rates during the cooling process by analyzing the time-series temperature field data.

[0080] The mechanical performance simulation and analysis module constructs a calculation model of a basin insulator containing defects based on the defect information identified by the infrared module. The same fixed mechanical load is applied to the model to perform mechanical performance simulation calculations and compare and analyze the stress results of models with different defect locations under the same load.

[0081] The mechanical performance hazard assessment module evaluates the degree of danger posed by bubble defects to the basin insulator based on the stress analysis results provided by the simulation module. The greater the stress, the more severe the weakening of mechanical performance by the defect, and the higher the hazard level.

[0082] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not 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 assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging, characterized in that: include, Infrared radiation signals from the surface of the test sample are collected during temperature changes to generate time-series temperature field distribution data. Based on the temperature field distribution data, the rate of temperature change is calculated to locate the internal heat conduction abnormality area and identify bubble defects. Mechanical performance simulation was performed on a pot-type insulator containing bubble defects. The same fixed mechanical load was applied during the simulation to analyze the stress at the defect location and the overall pot-type insulator. Assess the potential harm to the mechanical properties of pot insulators.

2. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 1, characterized in that: The collection of infrared radiation signals from the surface of the test sample during temperature changes includes novel infrared imaging detection, which involves collecting the temperature change of the test sample within a specified time. By utilizing the differences in heat transfer caused by internal defects and structural discontinuities in an object, an infrared thermal imager can represent the anomalies inside the object being measured as changes in the temperature field, generating time-series temperature field distribution data.

3. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 2, characterized in that: The process of locating abnormal internal heat conduction areas includes heating the basin-type insulator sample to a preset temperature using an external heat source, performing defect detection during the cooling process, and transmitting the time-series temperature field distribution data to a base station to identify bubble defects.

4. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 3, characterized in that: The method for identifying bubble defects includes marking the infrared image with different colors to indicate high-temperature and low-temperature colors, wherein when the high-temperature color area is maintained for a longer time than the surrounding area, it is judged as a suspected bubble defect. Meanwhile, the isotherm boundary between the suspected bubble defect area and the normal area is clear and persistent.

5. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 4, characterized in that: The method of locating the abnormal internal heat conduction area also includes, after identifying the suspected bubble defect area, plotting the temperature-time curve during the cooling process with temperature as the vertical axis and time as the horizontal axis based on the time-series temperature field distribution data. The temperature-time curve is amplified by performing time derivative calculations to magnify the temperature change difference between the suspected bubble defect area and the normal area.

6. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 4, characterized in that: The mechanical performance simulation includes establishing three bubble defect models for basin insulators, each model differing only in the location of the bubble defect. The bubble defect locations are respectively set at the center of the basin insulator, the middle of the basin body, and the edge of the basin insulator, and the stress magnitude at different defect locations is analyzed.

7. The method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in claim 4, characterized in that: The mechanical performance simulation also includes applying the same fixed load to pot insulators with different defects, and analyzing the stress at the defective parts and the whole pot insulator under the same load. The greater the stress, the greater the impact of the defect on the mechanical properties of the pot insulator.

8. A system for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging, employing the method for assessing the mechanical performance hazard of defective basin-type insulators based on infrared imaging as described in any one of claims 1 to 7, characterized in that, include: Infrared thermal imaging and defect identification module, mechanical performance simulation and analysis module, and mechanical performance hazard assessment module; The infrared thermal imaging and defect identification module collects infrared radiation signals from the surface of the basin-type insulator sample during active temperature changes, generates time-series temperature field distribution data, and identifies areas with abnormal heat conduction rates during the cooling process by analyzing the time-series temperature field data. The mechanical performance simulation and analysis module constructs a calculation model of a basin insulator containing defects based on the defect information identified by the infrared module. The same fixed mechanical load is applied to the model to perform mechanical performance simulation calculations and compare and analyze the stress results of models with different defect locations under the same load. The mechanical performance hazard assessment module evaluates the degree of danger posed by bubble defects to the basin insulator based on the stress analysis results provided by the simulation module. The greater the stress, the more severe the weakening of mechanical performance by the defect, and the higher the hazard level.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging, as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for assessing the mechanical performance hazard of defective basin insulators based on infrared imaging, as described in any one of claims 1 to 7.

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