Isolation switch operation safety intelligent monitoring method and system

Abstract

The invention relates to a disconnecting switch operation safety intelligent monitoring method and system, and the method comprises the following steps: capturing the motion of an operation mechanism and a disconnecting switch through a dynamic image, constructing a three-dimensional model, simulating operation stress, evaluating fatigue damage, judging the operation safety, and finally making a management strategy. The method comprises the following steps: firstly, acquiring dynamic images of an operating mechanism and an isolating switch, and performing three-dimensional modeling based on the dynamic images to obtain a motion trail virtual model; and then, simulating stress distribution in the operation process by using the model, and performing fatigue damage assessment based on a stress distribution map to generate an assessment report. And finally, the operation safety risk level of the disconnecting switch is judged according to the fatigue damage assessment report, a corresponding management strategy is formulated accordingly, and the technical problem that a traditional assessment method based on experience and manual judgment is difficult to meet the requirements of a modern electric power system for safety and reliability is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of disconnectors, and particularly to an intelligent monitoring method and system for the operating safety of disconnectors. Background Art

[0002] Disconnectors play a crucial role in the power system, responsible for isolating and connecting circuits. Their safe and reliable operation is essential for the stability of the power system. However, the traditional assessment of the operating safety of disconnectors mainly relies on manual inspections and regular maintenance, which has problems such as strong subjectivity, low efficiency, and difficulty in real-time monitoring. At the same time, due to the long-term outdoor operating environment of disconnectors, they are affected by natural factors such as wind, rain, snow, and ice, as well as mechanical stress and arc ablation during the operation process, which easily leads to performance degradation and even safety accidents. The traditional assessment methods are difficult to accurately evaluate the impact of these complex factors on the safety of disconnectors, unable to timely detect potential risks, and thus difficult to effectively prevent accidents.

[0003] With the continuous expansion of the scale of the power system and the improvement of the automation level, the requirements for the operating safety of disconnectors are also getting higher and higher. The traditional assessment methods based on experience and manual judgment are difficult to meet the requirements of modern power systems for safety and reliability. In order to improve the assessment efficiency and accuracy of the operating safety of disconnectors, there is an urgent need for a more scientific, objective, and intelligent monitoring method. This method needs to be able to real-time monitor the operating state of disconnectors, accurately evaluate their fatigue damage degree, and give early warnings of potential risks, so as to timely take corresponding maintenance measures to ensure the safe and stable operation of the power system.

[0004] Currently, although some studies have tried to use sensor technology and data analysis methods to monitor the state of disconnectors, most of these methods focus on the monitoring of electrical parameters and lack in-depth research on the mechanical state of the operating mechanism and the stress distribution during the operation process. Therefore, there is an urgent need for an intelligent monitoring method that can comprehensively consider factors such as the movement trajectory of the operating mechanism, the stress distribution during operation, and fatigue damage assessment, so as to achieve a comprehensive and accurate assessment of the operating safety of disconnectors and provide a more reliable guarantee for the safe and stable operation of the power system. Summary of the Invention

[0005] The main object of the present invention is to provide an intelligent monitoring method and system for the operating safety of disconnectors, which solves the technical problem that the traditional assessment methods based on experience and manual judgment are difficult to meet the requirements of modern power systems for safety and reliability.

[0006] To achieve the above object, the present invention provides an intelligent monitoring method for the operating safety of disconnectors, including the following steps: Perform dynamic image capture on the operating mechanism of the disconnector and the disconnector to obtain an operating mechanism dynamic image set and disconnector images; Perform 3D modeling based on the operating mechanism dynamic image set and disconnector images to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; Through the virtual movement trajectory model, simulate and analyze the operating stress of the operating mechanism on the disconnector during operation to obtain an operating stress distribution map; Based on the operating stress distribution map, perform fatigue damage assessment on the disconnector to obtain a fatigue damage assessment report; Based on the fatigue damage assessment report, determine the operating safety risk of the disconnector to obtain an operating safety risk level, and formulate corresponding management strategies based on the operating safety risk level.

[0007] Further, the performing dynamic image capture on the operating mechanism of the disconnector and the disconnector to obtain an operating mechanism dynamic image set and disconnector images includes: Perform optical marker recognition on the surface structure features of the disconnector and the operating mechanism to obtain surface structure optical marker data, and perform spatial coordinate positioning on the surface structure optical marker data to obtain marker positioning coordinate data; Based on the marker positioning coordinate data, adaptively adjust the parameters of the image capture device to obtain optimized image capture device parameters, and perform field of view range planning on the optimized image capture device parameters to obtain field of view range planning data; According to the field of view range planning data, perform multi-view dynamic image capture on the disconnector and the operating mechanism to obtain an operating mechanism dynamic image set and disconnector images.

[0008] Further, the performing 3D modeling based on the operating mechanism dynamic image set and disconnector images to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector includes: Perform multi-view depth information extraction on the operating mechanism dynamic image set and disconnector images to obtain a scene depth information mapping diagram, and perform binocular stereo matching correction on the scene depth information mapping diagram to obtain a spatial position correspondence data set, where the spatial position correspondence data set includes feature point spatial coordinates, a disparity map, and a depth confidence map; Perform structured light projection reconstruction based on the spatial position correspondence data set to obtain 3D geometric description data of the operating mechanism and the disconnector, and perform spatial structure segmentation on the 3D geometric description data to obtain a key component spatial distribution feature map, where the key component spatial distribution feature map includes component boundary contours, surface topography features, and geometric dimension parameters; Performing motion feature analysis on the spatial distribution feature map of the key components through spherical harmonic expansion to obtain a component motion state feature vector, and reconstructing a trajectory based on the component motion state feature vector to obtain a virtual model of the motion trajectory of the operating mechanism in the disconnector, where the virtual model of the motion trajectory includes a spatial trajectory sampling point set, a motion attitude sequence, and a key position timestamp.

[0009] Further, through the virtual model of the motion trajectory, simulating and analyzing the operating stress of the operating mechanism on the disconnector during the operation process to obtain an operating stress distribution map, including: Performing time-space discretization processing on the key position timestamps in the virtual model of the motion trajectory to obtain discretized trajectory data, and performing motion vector decomposition on the discretized trajectory data to obtain operating mechanism motion vector component data; Based on the operating mechanism motion vector component data, performing physical property mapping on the material properties of the operating mechanism and the disconnector to obtain material physical property correlation data, and calculating a stress influence factor for the material physical property correlation data to obtain a stress influence factor data set; According to the stress influence factor data set, making a force distribution assumption for the contact area of the operating mechanism on the disconnector to obtain contact area force assumption data, and constructing a mechanical equilibrium equation for the contact area force assumption data to obtain a mechanical equilibrium equation relationship set; Through the mechanical equilibrium equation relationship set, performing stress solution analysis on the operating mechanism and the disconnector to obtain an operating stress calculation result, and performing stress distribution visualization processing based on the operating stress calculation result to obtain an operating stress distribution map.

[0010] Further, the making a force distribution assumption for the contact area of the operating mechanism on the disconnector according to the stress influence factor data set to obtain contact area force assumption data includes: Extracting the geometric features of the contact surface from the stress influence factor data set to obtain contact surface morphology feature parameters, and performing micro-contact analysis on the contact surface morphology feature parameters to obtain micro-contact point distribution data; Based on the micro-contact point distribution data, calculating the stress field distribution of the contact area of the operating mechanism on the disconnector to obtain a stress field distribution characteristic spectrum, and performing stress concentration effect analysis on the stress field distribution characteristic spectrum to obtain a local stress strengthening coefficient; Performing contact state evolution analysis on the local stress strengthening coefficient through contact mechanics theory to obtain a contact state characteristic sequence, and performing dynamic response calculation on the contact state characteristic sequence to obtain interface mechanical response parameters; Reconstruct the force distribution based on the interface mechanical response parameters to obtain the force distribution pattern in the contact area, and verify the equilibrium constraint of the force distribution pattern in the contact area to obtain the assumed force data in the contact area.

[0011] Furthermore, based on the operating stress distribution map, fatigue damage assessment is performed on the disconnector to obtain a fatigue damage assessment report, including: Analyze the stress cycle characteristics of the operating stress distribution map to obtain stress time history evolution data, and perform rain flow counting analysis on the stress time history evolution data to obtain a stress cycle counting feature set; Based on the stress cycle counting feature set, perform local stress-strain response analysis on the disconnector material to obtain material micro-damage evolution parameters, and perform cumulative damage calculation on the material micro-damage evolution parameters to obtain component life loss assessment data; Judge the critical state of the component life loss assessment data through fracture mechanics criteria to obtain the component failure risk level assessment result, and perform reliability analysis on the component failure risk level assessment result to obtain component reliability characteristic parameters; Based on the component reliability characteristic parameters, perform comprehensive evaluation of fatigue damage to obtain a fatigue damage quantification index, and perform risk grading mapping on the fatigue damage quantification index to obtain a fatigue damage assessment report.

[0012] Furthermore, based on the fatigue damage assessment report, risk judge the operating safety of the disconnector to obtain the operating safety risk level, including: Perform multi-factor decoupling analysis on the fatigue damage assessment report to obtain a set of key driving factors for component failure, and perform sensitivity ranking on the set of key driving factors for component failure to obtain a key factor impact measurement table; Based on the key factor impact measurement table, perform non-stationary time series analysis on the historical operation data of the disconnector to obtain a dynamic risk evolution feature sequence, and perform topological transformation processing on the dynamic risk evolution feature sequence to obtain a risk path network structure diagram; Derive the conditional probability of the risk path network structure diagram through Bayesian network reasoning to obtain a multi-scenario risk probability distribution table, and perform evidence theory fusion on the multi-scenario risk probability distribution table to obtain comprehensive safety assessment parameters; Perform risk threshold division on the comprehensive safety assessment parameters to obtain a set of hierarchical threshold boundaries, and based on the set of hierarchical threshold boundaries, judge the operating safety of the disconnector to obtain the operating safety risk level.

[0013] The present invention also provides an intelligent monitoring system for the operating safety of a disconnector, including: A capture module, configured to perform dynamic image capture on the operating mechanism of the disconnector and the disconnector, so as to obtain an operating mechanism dynamic image set and a disconnector image; A modeling module, configured to perform three-dimensional modeling based on the operating mechanism dynamic image set and the disconnector image, so as to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; A simulation module, configured to simulate and analyze the operating stress of the operating mechanism on the disconnector during the operation process through the virtual movement trajectory model, so as to obtain an operating stress distribution map; An evaluation module, configured to perform fatigue damage evaluation on the disconnector based on the operating stress distribution map, so as to obtain a fatigue damage evaluation report; A determination module, configured to perform risk determination on the operation safety of the disconnector based on the fatigue damage evaluation report, so as to obtain an operation safety risk level, and formulate a corresponding management strategy based on the operation safety risk level.

[0014] The present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the method described in any one of the above are implemented.

[0015] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any one of the above are implemented.

[0016] A method for intelligent monitoring of the operation safety of a disconnector provided by the present invention includes the following steps: performing dynamic image capture on the operating mechanism of the disconnector and the disconnector to obtain an operating mechanism dynamic image set and a disconnector image; performing three-dimensional modeling based on the operating mechanism dynamic image set and the disconnector image to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; simulating and analyzing the operating stress of the operating mechanism on the disconnector during the operation process through the virtual movement trajectory model to obtain an operating stress distribution map; performing fatigue damage evaluation on the disconnector based on the operating stress distribution map to obtain a fatigue damage evaluation report; performing risk determination on the operation safety of the disconnector based on the fatigue damage evaluation report to obtain an operation safety risk level, and formulating a corresponding management strategy based on the operation safety risk level, which solves the technical problem that the traditional evaluation method based on experience and manual judgment is difficult to meet the requirements of modern power systems for safety and reliability, and realizes that the intelligent monitoring method can reduce the workload of manual inspection, reduce labor intensity, and improve work efficiency. Description of the Drawings

[0017] Figure 1 is a schematic diagram of the steps of the method for intelligent monitoring of the operation safety of a disconnector in an embodiment of the present invention; Figure 2 It is the structural block diagram of the intelligent monitoring system for the operation safety of the disconnector in an embodiment of the present invention; Figure 3 It is the structural schematic block diagram of the computer device in an embodiment of the present invention.

[0018] The realization of the object, functional characteristics and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0019] In order to make the object, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] As Figure 1 shown, Figure 1 It is the schematic diagram of the steps of an intelligent monitoring method for the operation safety of a disconnector in an embodiment of the present invention; An embodiment of the present invention provides an intelligent monitoring method for the operation safety of a disconnector, including the following steps: Step S1, perform dynamic image capture on the operating mechanism of the disconnector and the disconnector to obtain the dynamic image set of the operating mechanism and the disconnector image.

[0021] Specifically, dynamic image capture is performed on the operating mechanism of the disconnector and the disconnector to obtain the dynamic image set of the operating mechanism and the disconnector image. This step aims to acquire the complete visual information of the disconnector operation process and provide basic data for subsequent 3D modeling and stress analysis. In specific implementation, a high-definition camera can be used to record the entire operation process of the disconnector. The position and quantity of the cameras need to be adjusted according to the actual on-site situation to ensure that every action detail of the operating mechanism and the disconnector can be clearly captured. For example, the multi-angle shooting method can be adopted, and cameras can be installed on the front, side, and back of the disconnector respectively to obtain more comprehensive image information. At the same time, to ensure the accuracy and reliability of the image data, the parameters of the camera need to be set, such as frame rate, resolution, exposure time, etc., to adapt to different lighting conditions and movement speeds. During the dynamic image capture process, information such as the motion state of the operating mechanism and the switch state of the disconnector needs to be synchronously recorded. These information can be obtained through sensors or other monitoring devices and time-synchronized with the image data for subsequent analysis. For example, a displacement sensor can be used to record the motion trajectory of the operating mechanism, and a current sensor can be used to record the switch state of the disconnector, and these data are associated with the image data to establish the corresponding relationship between the motion of the operating mechanism and the state of the disconnector. The obtained dynamic image set contains information such as the position, posture, and motion speed of the operating mechanism at different time points, while the disconnector image provides information such as the geometric shape, size, and surface state of the disconnector. For example, in a 500 kV substation, when the disconnector is closed, by using a high-speed camera to capture the motion process of the operating mechanism, a series of images can be obtained. These images record the complete motion trajectory of the operating mechanism from the initial position to the final position, as well as the switch state of the disconnector at different moments. These image data will be used for subsequent 3D modeling to construct a virtual model of the motion trajectory of the operating mechanism on the disconnector.

[0022] Step S2: Based on the dynamic image set of the operating mechanism and the disconnector image, perform 3D modeling to obtain a virtual model of the motion trajectory of the operating mechanism on the disconnector.

[0023] Specifically, three-dimensional modeling based on the dynamic image set of the operating mechanism and the disconnector image is to construct a virtual model of the movement trajectory of the operating mechanism on the disconnector, so as to more accurately simulate and analyze the operation process. First, the key frame images extracted from the dynamic image set are used to perform three-dimensional reconstruction on the operating mechanism and the disconnector. This can be achieved through professional modeling software, such as Autodesk 3ds Max, Blender, or SolidWorks, etc., combined with image processing techniques, such as SFM (Structure from Motion), etc., to reconstruct the three-dimensional models of the operating mechanism and the disconnector from multi-angle images. Then, according to the position and posture of the operating mechanism in different key frame images, as well as the synchronously recorded motion state information, such as displacement, speed, etc., the movement trajectory of the operating mechanism can be fitted in three-dimensional space. More specifically, in the process of fitting the movement trajectory, interpolation or fitting algorithms, such as spline interpolation, Bezier curve fitting, etc., can be used to connect the discrete key frame data into a continuous and smooth movement trajectory curve. This curve represents the movement trajectory of the operating mechanism relative to the disconnector during the operation process. The finally obtained virtual model of the movement trajectory not only includes the geometric shape and movement trajectory of the operating mechanism, but also includes the three-dimensional model of the disconnector and the spatial relationship between them. For example, in the example of the closing operation of the 500 kV substation disconnector mentioned above, by processing the captured high-speed camera image sequence, the three-dimensional models of the operating mechanism and the disconnector can be reconstructed. Then, according to the position and posture of the operating mechanism in each frame of the image, combined with the movement data recorded by the displacement sensor, the movement trajectory of the operating mechanism can be fitted in three-dimensional space, such as the rotation angle of the operating mechanism, the displacement of the connecting rod, etc. In this way, a virtual model of the movement trajectory of the operating mechanism on the disconnector is obtained, which can be used for subsequent operation stress analysis and fatigue damage assessment. This virtual model can intuitively display the movement state of the operating mechanism during the entire operation process and the interaction relationship with the disconnector, providing an accurate and reliable model basis for subsequent analysis.

[0024] Step S3, through the virtual model of the movement trajectory, simulate and analyze the operating stress of the operating mechanism on the disconnector during the operation process to obtain an operating stress distribution map.

[0025] Specifically, through the virtual model of the motion trajectory, the operating stress of the disconnector during the operation of the operating mechanism is simulated and analyzed, and finally the operating stress distribution map is obtained. This step is the key to transforming motion analysis into mechanical analysis. By using the established virtual model of the motion trajectory and combining the finite element analysis (FEA) method, the force exerted by the operating mechanism on the disconnector during the motion process can be simulated. Specifically, first, the virtual model of the motion trajectory is imported into the finite element analysis software, such as ANSYS, ABAQUS, or COMSOL. Then, according to the material properties, motion speed, acceleration, etc. of the operating mechanism, as well as the material properties, boundary conditions, and constraint conditions of the disconnector, the parameters of the finite element model are set. Next, the model is meshed, and the motion trajectory of the operating mechanism is applied as a load to the disconnector. The finite element analysis software will calculate the stress distribution of the disconnector at different times and positions according to the set parameters and load conditions. Finally, the calculation results are presented in the form of a graph, and the operating stress distribution map is obtained. This map can clearly show the key information such as the maximum stress, minimum stress, and stress concentration areas borne by the disconnector during the operation. For example, in the case of the closing operation of the disconnector in a 500 kV substation, the previously established virtual model of the motion trajectory is imported into the finite element analysis software. The material of the disconnector is set as aluminum alloy, and the material of the operating mechanism is steel, and the boundary conditions and constraint conditions are set according to the actual situation. Then, the motion trajectory of the operating mechanism is applied as a load to the disconnector to simulate the stress situation during the closing process. Through finite element analysis, the stress distribution of the disconnector at different times and positions can be obtained. For example, at the moment of closing, the stress at the contact part is the largest, while at the part far from the contact, the stress is smaller. These stress distribution information will be presented in the form of a color contour map to form the operating stress distribution map, providing important data support for the subsequent fatigue damage assessment. By analyzing the stress distribution map, the stress concentration areas on the disconnector can be identified. These areas are usually the starting points of fatigue damage and are crucial for evaluating the life and safety of the disconnector.

[0026] Step S4, based on the operating stress distribution map, conduct a fatigue damage assessment on the disconnector to obtain a fatigue damage assessment report.

[0027] Specifically, based on the operation stress distribution map, the disconnector is evaluated for fatigue damage, and finally a fatigue damage assessment report is obtained. This step aims to evaluate the cumulative fatigue damage of the disconnector during long-term operation and predict its remaining life. By using the stress distribution map obtained previously and combining it with the fatigue characteristic curve (S-N curve) of the material, the fatigue damage at different positions of the disconnector can be calculated. Specifically, first, according to the material of the disconnector, the corresponding S-N curve is found, which describes the fatigue life of the material under different stress levels. Then, the stress values in the stress distribution map are compared with the S-N curve to calculate the fatigue damage at each position. Commonly used fatigue damage calculation methods include Miner's linear cumulative damage theory, improved Miner's rule, etc. During the calculation of fatigue damage, factors such as the number of movements and frequency of the operating mechanism need to be considered. For example, if the disconnector is operated 10 times a day, then it is operated 3,650 times a year. Each operation will cause a certain amount of fatigue damage to the disconnector, and these damages will accumulate over time. By calculating the cumulative fatigue damage, the remaining life of the disconnector can be evaluated, and when it needs maintenance or replacement can be predicted. Finally, the results of the fatigue damage assessment are compiled into a report, namely the fatigue damage assessment report, which contains information such as the fatigue damage values at different positions of the disconnector, the prediction of the remaining life, and corresponding maintenance suggestions. For example, in the case of the disconnector in a 500 kV substation, according to the previously obtained stress distribution map and the S-N curve of the aluminum alloy material, it can be calculated that the fatigue damage of the contact part of the disconnector is the largest because the stress at this part is the highest. Assuming that according to the calculation results, the fatigue damage of the contact part has reached 0.8, which means that this part is close to failure. Based on this assessment result, corresponding maintenance suggestions can be put forward in the fatigue damage assessment report, such as suggesting to inspect or replace the contact part to avoid failures. This report can provide a decision-making basis for the maintenance personnel of the power system, helping them formulate a more scientific and reasonable maintenance plan, thereby improving the reliability and safety of the power system.

[0028] Step S5: Based on the fatigue damage assessment report, determine the operation safety of the disconnector by risk assessment to obtain the operation safety risk level, and formulate a corresponding management strategy based on the operation safety risk level.

[0029] Specifically, based on the fatigue damage assessment report, the operating safety of the disconnector is judged for risk, and the risk level of operating safety is obtained. Based on this, corresponding management strategies are formulated. This is the last step of the whole method and the key to transforming the evaluation results into actual actions. First, according to the information such as fatigue damage values and remaining life predictions provided in the fatigue damage assessment report, combined with the pre-set risk assessment criteria, the risk of the operating safety of the disconnector is judged. The risk assessment criteria can be formulated according to industry specifications, equipment manufacturer recommendations or actual operation experience. For example, the risk level can be divided into three levels: low, medium, and high according to the size of the fatigue damage value. Once the risk level of operating safety is determined, corresponding management strategies can be formulated. For disconnectors with a low risk level, regular inspection and maintenance can be continued; for disconnectors with a medium risk level, the inspection frequency needs to be increased and their operating status needs to be closely monitored; for disconnectors with a high risk level, immediate measures need to be taken, such as overhaul or replacement, to eliminate potential safety hazards. Different risk levels correspond to different management strategies, so as to achieve differential management, improve maintenance efficiency and reduce maintenance costs. For example, in the case of a 500 kV substation disconnector, if according to the fatigue damage assessment report, the fatigue damage of the contact part of the disconnector reaches 0.8, which belongs to the high risk level. Then, corresponding management strategies need to be formulated immediately, such as arranging a power outage for overhaul, conducting a detailed inspection of the contact part, and if problems are found, repairs or replacements need to be carried out. At the same time, in order to avoid similar situations from happening again, the operating frequency of the disconnector can be considered adjusted, or more durable materials can be replaced. Through this differential management strategy based on risk levels, equipment failures can be effectively prevented and the safe and stable operation of the power system can be guaranteed. The ultimate goal of formulating management strategies is to ensure the safe and reliable operation of the disconnector and extend its service life to the greatest extent.

[0030] In a specific embodiment, the dynamic image capturing of the operating mechanism of the disconnector and the disconnector to obtain the dynamic image set of the operating mechanism and the disconnector image includes: Optical mark recognition is performed on the surface structure features of the disconnector and the operating mechanism to obtain surface structure optical mark data, and spatial coordinate positioning is performed on the surface structure optical mark data to obtain mark positioning coordinate data; Based on the mark positioning coordinate data, the parameters of the image capturing device are adaptively adjusted to obtain optimized image capturing device parameters, and the field of view range planning is performed on the optimized image capturing device parameters to obtain field of view range planning data; According to the field of view range planning data, multi-view dynamic image capturing of the disconnector and the operating mechanism is performed to obtain the dynamic image set of the operating mechanism and the disconnector image.

[0031] Specifically, dynamic image capture is performed on the operating mechanism and disconnector of the disconnector to obtain the dynamic image set of the operating mechanism and the disconnector image. Through optical marker recognition and adaptive parameter adjustment, this step realizes more accurate and efficient image acquisition. First, optical marker recognition is performed on the surface structure features of the disconnector and the operating mechanism to obtain surface structure optical marker data. This means pasting or drawing specific optical markers, such as checkerboards, dots, or other easily recognizable patterns, on the key parts of the disconnector and the operating mechanism. The role of these markers is to provide reference points for subsequent image processing. Through image processing algorithms, these markers can be recognized from the captured images, and their pixel coordinates can be extracted. For example, assuming that 10 optical markers are arranged on a disconnector, through image recognition algorithms, the pixel coordinates (u, v) of these 10 markers in the image can be obtained. Next, spatial coordinate positioning is performed on the surface structure optical marker data to obtain marker positioning coordinate data. This step requires converting the pixel coordinates in the image into three-dimensional coordinates in the real world. This can be achieved through camera calibration techniques, such as Zhang Zhengyou calibration method. Through calibration, the internal and external parameters of the camera can be determined, so as to convert the pixel coordinates into three-dimensional coordinates in the camera coordinate system. Combining with the actual positions of the markers on the disconnector, the three-dimensional coordinates of the markers in the world coordinate system can be obtained. For example, assuming that after camera calibration and coordinate conversion, the world coordinates of 10 optical markers are (X1, Y1, Z1), (X2, Y2, Z2),..., (X10, Y10, Z10) respectively. Based on the marker positioning coordinate data, the parameters of the image capture device are adaptively adjusted to obtain optimized image capture device parameters. This means automatically adjusting the parameters of the camera, such as focal length, aperture, exposure time, etc., according to the spatial position and distribution of the markers, to ensure that all markers appear clearly in the image and the image quality reaches the best. For example, if the markers are distributed in a large range, the focal length needs to be adjusted to cover the entire range; if the light is dim, the exposure time needs to be increased to improve the brightness of the image. Assuming that after adaptive adjustment, the focal length of the camera is adjusted to 50mm, the aperture is adjusted to f / 2.8, and the exposure time is adjusted to 1 / 250s. Then, the field of view range planning is performed on the optimized image capture device parameters to obtain the field of view range planning data. This step requires determining the best shooting position and angle of the camera according to the positions of the markers and the parameters of the camera, to ensure that all markers are within the field of view of the camera and the perspective of the image is the best. For example, assuming that the entire process of the disconnector closing needs to be captured, the field of view range of the camera needs to be planned so that it can cover the entire movement trajectory of the operating mechanism. Assuming that after the field of view range planning, 3 best camera shooting positions, namely A, B, and C, are determined.Finally, according to the data of the visual field range planning, multi - perspective dynamic image capture is performed on the disconnector and its operating mechanism to obtain the dynamic image set of the operating mechanism and the disconnector images. This means that at the pre - planned positions and angles, multiple cameras are used to simultaneously capture the operating process of the disconnector, so as to obtain multi - perspective dynamic image data. For example, by placing one camera at each of the three positions A, B, and C and simultaneously capturing the closing process of the disconnector, three different - perspective dynamic image sequences can be obtained. Assuming that each camera captures at a speed of 60 frames per second, then 180 frames of images can be obtained per second. These images constitute the dynamic image set of the operating mechanism and the disconnector images, providing a rich data basis for subsequent 3D modeling and stress analysis. In this way, it can ensure that the complete information of the disconnector operating process is captured, and improve the accuracy and reliability of subsequent analysis.

[0032] In a specific embodiment, performing 3D modeling based on the dynamic image set of the operating mechanism and the disconnector images to obtain the virtual model of the movement trajectory of the operating mechanism on the disconnector includes: Performing multi - perspective depth information extraction on the dynamic image set of the operating mechanism and the disconnector images to obtain a scene depth information mapping diagram, and performing binocular stereo matching correction on the scene depth information mapping diagram to obtain a spatial position correspondence data set, where the spatial position correspondence data set includes feature point spatial coordinates, a disparity map, and a depth confidence map; Based on the spatial position correspondence data set, performing structured light projection reconstruction to obtain 3D geometric description data of the operating mechanism and the disconnector, and performing spatial structure segmentation on the 3D geometric description data to obtain a key component spatial distribution feature map, where the key component spatial distribution feature map includes component boundary contours, surface topography features, and geometric dimension parameters; Performing motion feature analysis on the key component spatial distribution feature map through spherical harmonic expansion to obtain a component motion state feature vector, and performing trajectory reconstruction based on the component motion state feature vector to obtain the virtual model of the movement trajectory of the operating mechanism on the disconnector, where the movement trajectory virtual model includes a spatial trajectory sampling point set, a motion attitude sequence, and key position timestamps.

[0033] Specifically, based on the dynamic image set of the operating mechanism and the disconnector image, a three-dimensional model is built, and finally a virtual model of the motion trajectory of the operating mechanism on the disconnector is obtained. In this step, the multi-view depth information and structured light projection reconstruction technology are used to construct the three-dimensional models of the operating mechanism and the disconnector, and the motion trajectory of the operating mechanism is reconstructed. First, multi-view depth information is extracted from the dynamic image set of the operating mechanism and the disconnector image to obtain a scene depth information map. This can be achieved through binocular vision or multi-view vision technology. By comparing the parallax of the same points in images from different views, the depth information of each point in the scene can be calculated. The depth information map is represented in the form of a grayscale image, where the grayscale value represents the depth. For example, the brighter the grayscale value, the smaller the depth, and vice versa. Suppose there are images taken by two cameras, and a depth information map with a resolution of 640x480 is obtained through calculation. Then, binocular stereo matching correction is performed on the scene depth information map to obtain a data set of spatial position correspondence relationships. This step is to eliminate the image distortion caused by different camera positions and establish the correspondence relationship between pixel points in the left and right images. The data set of spatial position correspondence relationships includes the spatial coordinates of feature points, the disparity map, and the depth confidence map. The spatial coordinates of feature points refer to the three-dimensional coordinates of some feature points in the scene, such as corner points and edge points. The disparity map records the disparity values of corresponding pixel points between the left and right images. The depth confidence map represents the reliability of each depth value. For example, the higher the confidence, the more reliable the depth value. Suppose after stereo matching correction, the spatial coordinates of 1000 feature points, as well as the corresponding disparity values and confidence values, are obtained. Based on the data set of spatial position correspondence relationships, structured light projection reconstruction is performed to obtain the three-dimensional geometric description data of the operating mechanism and the disconnector. This can be achieved by projecting a structured light pattern onto the scene and then calculating the three-dimensional shape of the scene according to the deformation of the pattern. The three-dimensional geometric description data includes information such as the shape, size, and position of the operating mechanism and the disconnector. For example, the shapes and sizes of the various components of the operating mechanism, as well as their connection relationships, can be obtained. Suppose the reconstructed three-dimensional model contains 10,000 vertices and 20,000 triangular patches. Next, spatial structure segmentation is performed on the three-dimensional geometric description data to obtain a feature map of the spatial distribution of key components. This step is to decompose the overall three-dimensional models of the operating mechanism and the disconnector into individual components and extract the feature information of each component. The feature map of the spatial distribution of key components includes component boundary contours, surface topography features, and geometric dimension parameters. For example, the boundary contours, surface textures, and dimension parameters of components such as the connecting rod and rotating shaft of the operating mechanism can be extracted. Suppose the operating mechanism is segmented into 10 key components, and each component has its corresponding boundary contour, surface topography feature, and geometric dimension parameter. Motion feature analysis is performed on the feature map of the spatial distribution of key components through spherical harmonic expansion to obtain the component motion state feature vector.Spherical harmonic expansion is a method of decomposing a three-dimensional shape into a series of spherical harmonic functions, which can be used to analyze the motion characteristics of components. The characteristic vector of the component motion state describes the motion state of the component at different times, such as displacement, rotation, etc. Suppose that after spherical harmonic expansion analysis, the characteristic vectors of the motion states of each component at 100 times are obtained. Finally, based on the characteristic vectors of the component motion states, trajectory reconstruction is carried out to obtain a virtual model of the motion trajectory of the operating mechanism in the disconnector. The virtual model of the motion trajectory includes a set of spatial trajectory sampling points, a sequence of motion postures, and timestamps of key positions. The set of spatial trajectory sampling points records the spatial positions of the operating mechanism at different times. The sequence of motion postures describes the postures of the operating mechanism at different times, such as rotation angles, etc. The timestamps of key positions record the times when the operating mechanism reaches certain key positions. For example, the motion trajectory, rotation angle, and the time when the closing position is reached during the closing process of the operating mechanism can be obtained. Suppose the reconstructed motion trajectory contains 100 sampling points, and each sampling point has its corresponding spatial coordinates, attitude information, and timestamp. In this way, the motion process of the operating mechanism in the disconnector can be completely described, providing a basis for subsequent stress analysis and fatigue damage assessment.

[0034] In a specific embodiment, through the virtual model of the motion trajectory, the operating stress of the operating mechanism on the disconnector during the operation process is simulated and analyzed to obtain an operating stress distribution map, including: Perform time-space discretization processing on the timestamps of key positions in the virtual model of the motion trajectory to obtain discretized trajectory data, and perform motion vector decomposition on the discretized trajectory data to obtain the motion vector component data of the operating mechanism; Based on the motion vector component data of the operating mechanism, perform physical property mapping on the material properties of the operating mechanism and the disconnector to obtain material physical property correlation data, and calculate the stress influence factors for the material physical property correlation data to obtain a stress influence factor data set; According to the stress influence factor data set, make an assumption about the force distribution in the contact area of the operating mechanism on the disconnector to obtain the force assumption data in the contact area, and construct a mechanical equilibrium equation for the force assumption data in the contact area to obtain a set of mechanical equilibrium equation relationships; Through the set of mechanical equilibrium equation relationships, perform stress solution analysis on the operating mechanism and the disconnector to obtain the calculation result of the operating stress, and perform stress distribution visualization processing based on the calculation result of the operating stress to obtain the operating stress distribution map.

[0035] Specifically, through the virtual model of the motion trajectory, the operating stress of the disconnector during the operation of the operating mechanism is simulated and analyzed, and finally the operating stress distribution map is obtained. This step converts the motion trajectory into stress distribution, providing key data for fatigue damage assessment. First, the time stamps at key positions in the virtual model of the motion trajectory are discretized in time and space to obtain discretized trajectory data. This means that the continuous motion trajectory of the operating mechanism is discretized into a set of time points and spatial positions. For example, assume that the motion trajectory of the operating mechanism is discretized into 100 time points, and each time point corresponds to a spatial position of the operating mechanism. Then, the discretized trajectory data is decomposed into motion vector components to obtain the motion vector component data of the operating mechanism. This step decomposes the motion of the operating mechanism at each time point into vector components along different directions. For example, the motion can be decomposed into components in the x, y, and z directions. These vector components represent the motion speed and acceleration of the operating mechanism in different directions. Assume that at a certain time point, the motion vector of the operating mechanism is decomposed into Vx = 10 mm / s, Vy = 5 mm / s, Vz = 2 mm / s. Based on the motion vector component data of the operating mechanism, the physical property mapping of the material properties of the operating mechanism and the disconnector is performed to obtain the material physical property correlation data. This means that the material properties (such as elastic modulus, Poisson's ratio, etc.) of the operating mechanism and the disconnector are associated with the motion vector component data. For example, according to the motion speed and acceleration of the operating mechanism, the magnitude and direction of the force exerted on the disconnector can be calculated. Assume that the material of the operating mechanism is steel with an elastic modulus of 200 GPa, and the material of the disconnector is aluminum alloy with an elastic modulus of 70 GPa. Next, the stress influence factor calculation is performed on the material physical property correlation data to obtain the stress influence factor data set. The stress influence factor reflects the degree of influence of different factors on the operating stress. For example, the faster the motion speed of the operating mechanism, the greater the force exerted on the disconnector, resulting in greater operating stress. Assume that 10 stress influence factors are calculated, corresponding to different influencing factors. According to the stress influence factor data set, the force distribution assumption of the contact area of the operating mechanism on the disconnector is made to obtain the contact area force assumption data. This step assumes the force distribution of the contact area between the operating mechanism and the disconnector. For example, it can be assumed that the force in the contact area is evenly distributed, or non-uniformly distributed according to the actual situation. Assume that the contact area is divided into 100 small areas, and the force situation of each small area is assumed. Then, the mechanical equilibrium equation is constructed for the contact area force assumption data to obtain the mechanical equilibrium equation relationship set. The mechanical equilibrium equation describes the equilibrium state of the operating mechanism and the disconnector under the action of forces. For example, according to Newton's second law, the mechanical equilibrium equations of the operating mechanism and the disconnector can be established. Assume that 100 mechanical equilibrium equations are established, corresponding to 100 contact small areas.By using the set of mechanical equilibrium equation relationships, the stress of the operating mechanism and the disconnector is solved and analyzed to obtain the calculation results of the operating stress. In this step, numerical methods such as finite element analysis are used to solve the mechanical equilibrium equations to obtain the stress values of the operating mechanism and the disconnector at different positions. For example, it can be calculated that the stress value of the contact part of the disconnector is the largest, while the stress values of other parts are smaller. Suppose the stress values of 1000 nodes are calculated. Finally, based on the calculation results of the operating stress, the stress distribution is visualized to obtain the operating stress distribution map. The stress distribution map shows the stress distribution of the operating mechanism and the disconnector at different positions in the form of a color contour map. For example, red can be used to represent the high-stress area and blue to represent the low-stress area. Through the stress distribution map, the distribution of the operating stress on the disconnector can be intuitively understood, providing a basis for subsequent fatigue damage assessment. This entire process converts the motion trajectory of the operating mechanism into the stress distribution on the disconnector through a series of calculations and analyses, providing key data for evaluating the operating safety and life of the disconnector.

[0036] In a specific embodiment, based on the stress influence factor data set, a force distribution hypothesis is made for the contact area of the operating mechanism on the disconnector to obtain the force distribution hypothesis data for the contact area, including: Extract the geometric characteristics of the contact surface from the stress influence factor data set to obtain the contact surface morphology characteristic parameters, and perform micro-contact analysis on the contact surface morphology characteristic parameters to obtain the micro-contact point distribution data; Based on the micro-contact point distribution data, calculate the stress field distribution of the contact area of the operating mechanism on the disconnector to obtain the stress field distribution characteristic spectrum, and perform stress concentration effect analysis on the stress field distribution characteristic spectrum to obtain the local stress strengthening coefficient; Through the contact mechanics theory, perform contact state evolution analysis on the local stress strengthening coefficient to obtain the contact state characteristic sequence, and perform dynamic response calculation on the contact state characteristic sequence to obtain the interface mechanical response parameters; Based on the interface mechanical response parameters, reconstruct the force distribution to obtain the force distribution mode of the contact area, and verify the equilibrium constraint of the force distribution mode of the contact area to obtain the force distribution hypothesis data of the contact area.

[0037] Specifically, based on the stress influence factor dataset, a force distribution assumption is made for the contact area of the operating mechanism on the disconnector, obtaining the force assumption data for the contact area. This step more precisely simulates the contact force situation between the operating mechanism and the disconnector through micro-contact analysis and contact mechanics theory. First, the geometric characteristics of the contact surface are extracted from the stress influence factor dataset to obtain the contact surface morphology characteristic parameters. This means extracting the parameters related to the geometric shape of the contact surface from the stress influence factor dataset, such as the roughness and curvature of the contact surface. These parameters will be used for subsequent micro-contact analysis. Suppose 5 contact surface morphology characteristic parameters are extracted, such as the surface roughness Ra = 0.8 μm and the radius of curvature R = 10 mm. Next, micro-contact analysis is performed on the contact surface morphology characteristic parameters to obtain the micro-contact point distribution data. Since the actual contact surface is not ideally smooth but has micro-roughness, contact only occurs at some discrete micro-contact points. Micro-contact analysis aims to determine the positions and quantities of these contact points. For example, the finite element method can be used to simulate the micro-morphology of the contact surface and calculate the positions and areas of the contact points. Suppose the simulation results show that there are 1000 micro-contact points in the contact area. Based on the micro-contact point distribution data, the stress field distribution calculation is carried out for the contact area of the operating mechanism on the disconnector to obtain the stress field distribution characteristic spectrum. After obtaining the micro-contact point distribution data, the stress field distribution of the contact area can be calculated. Since the contact force is concentrated at the micro-contact points, the stress near these contact points will be significantly higher than other areas. The stress field distribution characteristic spectrum describes the magnitude and direction of the stress in the contact area. Suppose the stress values of 10000 points in the contact area are calculated. Then, stress concentration effect analysis is performed on the stress field distribution characteristic spectrum to obtain the local stress strengthening coefficient. Due to the existence of micro-contact, the stress near the contact points will increase significantly, and this phenomenon is called the stress concentration effect. The local stress strengthening coefficient represents the degree of stress concentration. For example, if the local stress strengthening coefficient is 2, it means that the stress near the contact points is 2 times the average stress. Suppose the calculated local stress strengthening coefficient is 1.5. Through contact mechanics theory, contact state evolution analysis is carried out on the local stress strengthening coefficient to obtain the contact state characteristic sequence. The contact state refers to the changes in parameters such as the contact area and contact pressure between the contact surfaces. Contact state evolution analysis aims to study the variation law of the contact state over time. For example, according to Hertz contact theory, the changes in the contact area and contact pressure over time can be analyzed. Suppose the contact state characteristic parameters at 100 time points are obtained through analysis. Next, dynamic response calculation is performed on the contact state characteristic sequence to obtain the interface mechanical response parameters. The interface mechanical response parameters describe the mechanical interaction between the contact surfaces, such as friction force and normal force. For example, according to Coulomb's friction law, the friction force between the contact surfaces can be calculated.Suppose the interfacial mechanical response parameters at 100 time points are calculated, such as the friction coefficient μ = 0.2 and the normal force Fn = 100 N. Based on the interfacial mechanical response parameters, the force distribution is reconstructed to obtain the force distribution pattern in the contact area. After obtaining the interfacial mechanical response parameters, the force distribution pattern in the contact area can be reconstructed. For example, according to the distribution of contact pressure and friction force, the force distribution diagram of the contact area can be drawn. Suppose the reconstructed force distribution diagram shows that the force is the largest at the center of the contact area and smaller at the edges. Finally, the force distribution pattern in the contact area is verified by balance constraints to obtain the assumed force data in the contact area. To ensure the reasonableness of the force distribution, it is necessary to verify the force distribution pattern by balance constraints. For example, it is necessary to verify whether the total force in the contact area is equal to the force applied by the operating mechanism. If the verification passes, the reconstructed force distribution can be used as the assumed force data in the contact area. Suppose after the balance constraint verification, it is confirmed that the reconstructed force distribution satisfies the mechanical equilibrium condition, then this force distribution can be used as the final assumed force data in the contact area. Through this series of analyses and calculations, more accurate assumed force distribution data in the contact area can be obtained, thereby improving the accuracy of subsequent stress analysis.

[0038] In a specific embodiment, based on the operating stress distribution map, the disconnector is evaluated for fatigue damage to obtain a fatigue damage assessment report, including: Analyze the stress cycle characteristics of the operating stress distribution map to obtain stress time history evolution data, and perform rain flow counting analysis on the stress time history evolution data to obtain a stress cycle counting feature set; Based on the stress cycle counting feature set, perform local stress-strain response analysis on the disconnector material to obtain material micro-damage evolution parameters, and perform cumulative damage calculation on the material micro-damage evolution parameters to obtain component life loss assessment data; Use the fracture mechanics criterion to determine the critical state of the component life loss assessment data to obtain the assessment result of the component failure risk level, and perform reliability analysis on the assessment result of the component failure risk level to obtain component reliability characteristic parameters; Based on the component reliability characteristic parameters, conduct a comprehensive evaluation of fatigue damage to obtain a fatigue damage quantification index, and perform risk grading mapping on the fatigue damage quantification index to obtain a fatigue damage assessment report.

[0039] Specifically, based on the operation stress distribution atlas, the fatigue damage of the disconnector is evaluated, and finally a fatigue damage assessment report is obtained. This step converts the stress distribution into fatigue damage and evaluates the remaining life and reliability of the disconnector. First, the stress cycle characteristics of the operation stress distribution atlas are analyzed to obtain the stress time history evolution data. This means extracting the information of stress changing with time from the stress distribution atlas, such as stress amplitude, stress frequency, etc. Suppose the stress values at 100 time points are extracted to form a stress time series. Then, rainflow counting analysis is carried out on the stress time history evolution data to obtain the stress cycle counting feature set. The rainflow counting method is a commonly used fatigue analysis method that decomposes the complex stress time series into a series of simple stress cycles and counts the number of times of each stress cycle. The stress cycle counting feature set contains the number of cycles corresponding to different stress amplitudes. For example, suppose the rainflow counting analysis result shows that the number of cycles with a stress amplitude of 100 MPa is 1000 times, and the number of cycles with a stress amplitude of 50 MPa is 5000 times. Based on the stress cycle counting feature set, local stress-strain response analysis of the disconnector material is carried out to obtain the material micro-damage evolution parameters. This step analyzes the micro-damage evolution process of the material under cyclic stress. For example, a material fatigue model (such as the Coffin-Manson model) can be used to calculate the fatigue life of the material under different stress amplitudes. The material micro-damage evolution parameters describe the degree of damage to the material microstructure, such as the length and number of cracks. Suppose the analysis result shows that under the cyclic action of a stress amplitude of 100 MPa, the micro-damage parameter of the material is 0.1. Next, cumulative damage calculation is carried out on the material micro-damage evolution parameters to obtain the component life loss assessment data. Since the disconnector will experience multiple stress cycles during operation, it is necessary to accumulate the damage caused by each cycle to evaluate the overall life loss of the component. For example, the Miner linear cumulative damage theory can be used to calculate the total damage value of the component. Suppose the calculated component life loss is 10%. The critical state of the component life loss assessment data is determined by the fracture mechanics criterion to obtain the component failure risk level assessment result. The fracture mechanics criterion is used to judge whether the component reaches the failure state. For example, it can be judged whether the component fails according to whether the crack length of the component reaches the critical value. The component failure risk level assessment result divides the failure risk of the component into different levels, such as low risk, medium risk, high risk. Suppose according to the fracture mechanics criterion, the failure risk level of this component is medium risk. Then, reliability analysis is carried out on the component failure risk level assessment result to obtain the component reliability characteristic parameters. Reliability analysis is used to evaluate the probability that the component works normally within a certain time. The component reliability characteristic parameters describe the reliability level of the component, such as the mean time to failure, reliability function, etc. Suppose the reliability analysis result shows that the mean time to failure of this component is 10 years and the reliability is 90%.Based on the characteristic parameters of component reliability, a comprehensive evaluation of fatigue damage is carried out to obtain a quantitative index of fatigue damage. The quantitative index of fatigue damage is a comprehensive index that comprehensively considers factors such as the life loss, failure risk, and reliability of components. For example, the life loss, failure risk level, and reliability of components can be weighted and averaged to obtain a comprehensive fatigue damage index. Suppose the calculated quantitative index of fatigue damage is 0.5. Finally, a risk classification mapping is performed on the quantitative index of fatigue damage to obtain a fatigue damage assessment report. The risk classification mapping maps the quantitative index of fatigue damage to different risk levels, such as low risk, medium risk, and high risk. The fatigue damage assessment report summarizes the fatigue damage situation of the disconnector and gives the corresponding risk level. For example, suppose according to the risk classification mapping rule, a quantitative index of fatigue damage of 0.5 corresponds to the medium risk level. The finally generated fatigue damage assessment report will contain all this information, providing a decision-making basis for the maintenance and replacement of the disconnector.

[0040] In a specific embodiment, based on the fatigue damage assessment report, the operation safety of the disconnector is risk-determined to obtain an operation safety risk level, including: Perform a multi-factor decoupling analysis on the fatigue damage assessment report to obtain a set of key driving factors for component failure, and perform a sensitivity ranking on the set of key driving factors for component failure to obtain a key factor impact measurement table; Based on the key factor impact measurement table, perform a non-stationary time series analysis on the historical operation data of the disconnector to obtain a dynamic risk evolution characteristic sequence, and perform a topological transformation process on the dynamic risk evolution characteristic sequence to obtain a risk path network structure diagram; Through Bayesian network inference, perform conditional probability derivation on the risk path network structure diagram to obtain a multi-scenario risk probability distribution table, and perform evidence theory fusion on the multi-scenario risk probability distribution table to obtain a comprehensive safety assessment parameter; Perform a risk threshold division on the comprehensive safety assessment parameter to obtain a set of hierarchical threshold boundaries, and based on the set of hierarchical threshold boundaries, determine the operation safety of the disconnector to obtain an operation safety risk level.

[0041] Specifically, based on the fatigue damage assessment report, the operating safety of the disconnector is judged for risk, and the risk level of operating safety is obtained. This step comprehensively considers various factors to conduct a more comprehensive assessment of the operating safety of the disconnector. First, a decoupling analysis of multiple factors is performed on the fatigue damage assessment report to obtain a set of key driving factors for component failure. This means extracting the key factors that lead to component failure from the fatigue damage assessment report, such as material fatigue, environmental corrosion, operating frequency, etc. Suppose the analysis results show that material fatigue, environmental corrosion, and operating frequency are the three key driving factors leading to the failure of the disconnector. Then, a sensitivity ranking is performed on the set of key driving factors for component failure to obtain a key factor impact measurement table. The sensitivity ranking is used to determine which factors have a greater impact on component failure. For example, the ranking can be performed by calculating the contribution degree of each factor to the failure probability. The key factor impact measurement table lists the impact degrees of each key driving factor. For example, suppose the analysis results show that the impact degree of material fatigue is the largest, followed by environmental corrosion, and finally operating frequency, which are assigned values of 0.5, 0.3, and 0.2 respectively. Based on the key factor impact measurement table, a non-stationary time series analysis is performed on the historical operation data of the disconnector to obtain a dynamic risk evolution characteristic sequence. The non-stationary time series analysis is used to analyze the variation law of the risk of the disconnector over time. For example, the variation trends of parameters such as the operating temperature and current of the disconnector over time, as well as the relationship between these parameters and the failure probability, can be analyzed. The dynamic risk evolution characteristic sequence describes the variation of the risk of the disconnector over time. Suppose the historical operation data of 100 time points are analyzed, and 100 risk values are obtained, forming a dynamic risk evolution characteristic sequence. Next, a topological transformation process is performed on the dynamic risk evolution characteristic sequence to obtain a risk path network structure diagram. The topological transformation converts the dynamic risk evolution characteristic sequence into a network structure diagram, where the nodes represent different risk states and the edges represent the transition probabilities between risk states. The risk path network structure diagram can more intuitively display the evolution path of the risk of the disconnector. Suppose the risk path network structure diagram contains 10 nodes and 20 edges, and each edge is marked with the corresponding transition probability. Through Bayesian network inference, conditional probability derivation is performed on the risk path network structure diagram to obtain a multi-scenario risk probability distribution table. Bayesian network inference is a reasoning method based on a probabilistic graphical model, which can deduce the risk probability distribution under different future scenarios according to the known risk states and transition probabilities. The multi-scenario risk probability distribution table lists the probabilities of the disconnector being in different risk states under different scenarios. Suppose 5 different scenarios are considered, such as high temperature, low temperature, high humidity, low humidity, and normal environment, and the probabilities of the disconnector being in different risk states under each scenario are calculated respectively. Then, evidence theory fusion is performed on the multi-scenario risk probability distribution table to obtain a comprehensive safety assessment parameter.Evidential theory fusion is a method for processing uncertain information. It can fuse information from different sources to obtain a more reliable evaluation result. The comprehensive security evaluation parameter is a comprehensive index that reflects the overall security level of the disconnector. Suppose that after evidential theory fusion, the obtained comprehensive security evaluation parameter is 0.8. The risk threshold is divided for the comprehensive security evaluation parameter to obtain a set of hierarchical threshold boundaries. The risk threshold division divides the comprehensive security evaluation parameter into different risk levels, such as low risk, medium risk, and high risk. The set of hierarchical threshold boundaries defines the boundary values of different risk levels. For example, suppose the comprehensive security evaluation parameter is divided into three levels: low risk (0.8 - 1.0), medium risk (0.5 - 0.8), and high risk (0 - 0.5). Finally, based on the set of hierarchical threshold boundaries, the operating safety of the disconnector is determined to obtain the operating safety risk level. According to the value of the comprehensive security evaluation parameter, it is compared with the set of hierarchical threshold boundaries to determine the operating safety risk level of the disconnector. For example, if the comprehensive security evaluation parameter is 0.8, the operating safety risk level is low risk. Through this series of analyses and calculations, the operating safety of the disconnector can be evaluated more comprehensively, providing a basis for formulating corresponding safety measures.

[0042] The above describes the intelligent monitoring method for the operating safety of the disconnector in the embodiments of the present invention. Next, the intelligent monitoring system for the operating safety of the disconnector in the embodiments of the present invention will be described. Please refer to Figure 2 , an embodiment of the intelligent monitoring system for the operating safety of the disconnector in the embodiments of the present invention includes: A capture module 21, configured to perform dynamic image capture on the operating mechanism of the disconnector and the disconnector to obtain an operating mechanism dynamic image set and a disconnector image; A modeling module 22, configured to perform three-dimensional modeling based on the operating mechanism dynamic image set and the disconnector image to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; A simulation module 23, configured to simulate and analyze the operating stress of the operating mechanism on the disconnector during the operation process through the virtual movement trajectory model to obtain an operating stress distribution map; An evaluation module 24, configured to perform fatigue damage evaluation on the disconnector based on the operating stress distribution map to obtain a fatigue damage evaluation report; A determination module 25, configured to perform risk determination on the operating safety of the disconnector based on the fatigue damage evaluation report to obtain an operating safety risk level, and formulate a corresponding management strategy based on the operating safety risk level.

[0043] In this embodiment, for the specific implementation of each unit in the above system embodiment, please refer to the above method embodiment and will not be elaborated here.

[0044] Refer to Figure 3 , an embodiment of the present invention further provides a computer device, and its internal structure may be as Figure 3 shown. The computer device includes a processor, a memory, a display screen, an input device, a network interface, and a database connected through a system bus. Among them, the processor of the computer design is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above method is implemented.

[0045] Those skilled in the art can understand that Figure 3 the structure shown in

[0046] is only a block diagram of a part of the structure related to the solution of the present invention and does not constitute a limitation on the computer device to which the solution of the present invention is applied.

[0047] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium provided by the present invention and used in the embodiments can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM, etc.

[0048] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, device, article or method comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, device, article or method. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the process, device, article or method comprising such element.

[0049] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An intelligent monitoring method for the operating safety of a disconnector, characterized in that Including the following steps: Performing dynamic image capture on the operating mechanism and disconnector of the disconnector to obtain an operating mechanism dynamic image set and disconnector images; Performing three-dimensional modeling based on the operating mechanism dynamic image set and disconnector images to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; Through the virtual model of the movement trajectory, simulating and analyzing the operating stress of the operating mechanism on the disconnector during the operation process to obtain an operating stress distribution map; Based on the operating stress distribution map, performing fatigue damage assessment on the disconnector to obtain a fatigue damage assessment report; Based on the fatigue damage assessment report, determining the operating safety risk of the disconnector, obtaining an operating safety risk level, and formulating corresponding management strategies based on the operating safety risk level.

2. The intelligent monitoring method for the operating safety of the disconnector according to claim 1, wherein The performing dynamic image capture on the operating mechanism and disconnector of the disconnector to obtain an operating mechanism dynamic image set and disconnector images includes: Performing optical marker recognition on the surface structure features of the disconnector and the operating mechanism to obtain surface structure optical marker data, and performing spatial coordinate positioning on the surface structure optical marker data to obtain marker positioning coordinate data; Based on the marker positioning coordinate data, adaptively adjusting the parameters of the image capture device to obtain optimized image capture device parameters, and performing field of view range planning on the optimized image capture device parameters to obtain field of view range planning data; According to the field of view range planning data, performing multi-view dynamic image capture on the disconnector and the operating mechanism to obtain an operating mechanism dynamic image set and disconnector images.

3. The intelligent monitoring method for the operation safety of the disconnector according to claim 1, characterized in that, The performing three-dimensional modeling based on the operating mechanism dynamic image set and disconnector images to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector includes: Performing multi-view depth information extraction on the operating mechanism dynamic image set and disconnector images to obtain a scene depth information mapping diagram, and performing binocular stereo matching correction on the scene depth information mapping diagram to obtain a spatial position correspondence data set, where the spatial position correspondence data set includes feature point spatial coordinates, a disparity map, and a depth confidence map; Performing structured light projection reconstruction based on the spatial position correspondence data set to obtain three-dimensional geometric description data of the operating mechanism and the disconnector, and performing spatial structure segmentation on the three-dimensional geometric description data to obtain a key component spatial distribution feature map, where the key component spatial distribution feature map includes component boundary contours, surface topography features, and geometric dimension parameters; Performing motion feature analysis on the key component spatial distribution feature map through spherical harmonic expansion to obtain a component motion state feature vector, and performing trajectory reconstruction based on the component motion state feature vector to obtain a virtual model of the movement trajectory of the operating mechanism in the disconnector, where the virtual model of the movement trajectory includes a spatial trajectory sampling point set, a motion attitude sequence, and key position timestamps.

4. The intelligent monitoring method for the operation safety of the disconnector according to claim 3, characterized in that, The through the virtual model of the movement trajectory, simulating and analyzing the operating stress of the operating mechanism on the disconnector during the operation process to obtain an operating stress distribution map includes: Perform time - space discretization on the key position timestamps in the virtual model of the motion trajectory to obtain discretized trajectory data, and decompose the discretized trajectory data into motion vector components to obtain the motion vector component data of the operating mechanism; Based on the motion vector component data of the operating mechanism, perform physical property mapping on the material properties of the operating mechanism and the disconnector to obtain material physical property correlation data, and calculate the stress influence factors for the material physical property correlation data to obtain a stress influence factor data set; According to the stress influence factor data set, make a force distribution assumption for the contact area of the operating mechanism on the disconnector to obtain contact area force assumption data, and construct a mechanical equilibrium equation for the contact area force assumption data to obtain a set of mechanical equilibrium equation relationships; Through the set of mechanical equilibrium equation relationships, perform stress solution analysis on the operating mechanism and the disconnector to obtain the calculated result of the operating stress, and perform stress distribution visualization processing based on the calculated result of the operating stress to obtain an operating stress distribution map; 5. The intelligent monitoring method for the operation safety of the disconnector according to claim 4, characterized in that, The step of making a force distribution assumption for the contact area of the operating mechanism on the disconnector according to the stress influence factor data set to obtain contact area force assumption data includes: Extract the geometric characteristics of the contact surface from the stress influence factor data set to obtain the contact surface morphology characteristic parameters, and perform micro - contact analysis on the contact surface morphology characteristic parameters to obtain micro - contact point distribution data; Based on the micro - contact point distribution data, calculate the stress field distribution in the contact area of the operating mechanism on the disconnector to obtain a stress field distribution characteristic spectrum, and perform stress concentration effect analysis on the stress field distribution characteristic spectrum to obtain a local stress strengthening coefficient; Through contact mechanics theory, perform contact state evolution analysis on the local stress strengthening coefficient to obtain a contact state characteristic sequence, and perform dynamic response calculation on the contact state characteristic sequence to obtain interface mechanical response parameters; Based on the interface mechanical response parameters, reconstruct the force distribution to obtain the force distribution mode of the contact area, and verify the equilibrium constraint for the force distribution mode of the contact area to obtain the contact area force assumption data; 6. The intelligent monitoring method for the operation safety of the disconnector according to claim 1, characterized in that The step of performing fatigue damage assessment on the disconnector based on the operating stress distribution map to obtain a fatigue damage assessment report includes: Analyze the stress cycle characteristics of the operating stress distribution map to obtain stress time - history evolution data, and perform rain - flow counting analysis on the stress time - history evolution data to obtain a stress cycle counting characteristic set; Based on the stress cycle counting characteristic set, perform local stress - strain response analysis on the disconnector material to obtain material micro - damage evolution parameters, and calculate the cumulative damage for the material micro - damage evolution parameters to obtain component life loss assessment data; Through the fracture mechanics criterion, determine the critical state for the component life loss assessment data to obtain the assessment result of the component failure risk level, and perform reliability analysis on the assessment result of the component failure risk level to obtain component reliability characteristic parameters; Based on the reliability characteristic parameters of the components, a comprehensive evaluation of fatigue damage is carried out to obtain a quantitative index of fatigue damage, and a risk classification mapping is performed on the quantitative index of fatigue damage to obtain a fatigue damage assessment report.

7. The intelligent monitoring method for the operation safety of the disconnector according to claim 1, wherein Based on the fatigue damage assessment report, the operation safety of the disconnector is determined for risk, and an operation safety risk level is obtained, including: Perform a multi-factor decoupling analysis on the fatigue damage assessment report to obtain a set of key driving factors for component failure, and perform a sensitivity ranking on the set of key driving factors for component failure to obtain a key factor impact measurement table; Based on the key factor impact measurement table, perform a non-stationary time series analysis on the historical operation data of the disconnector to obtain a dynamic risk evolution characteristic sequence, and perform a topological transformation process on the dynamic risk evolution characteristic sequence to obtain a risk path network structure diagram; Through Bayesian network reasoning, perform conditional probability derivation on the risk path network structure diagram to obtain a multi-scenario risk probability distribution table, and perform evidence theory fusion on the multi-scenario risk probability distribution table to obtain a comprehensive safety assessment parameter; Perform a risk threshold division on the comprehensive safety assessment parameter to obtain a set of hierarchical threshold boundaries, and based on the set of hierarchical threshold boundaries, determine the operation safety of the disconnector to obtain an operation safety risk level.

8. An intelligent monitoring system for the operating safety of disconnectors, characterized in that, Including: A capture module for dynamically capturing images of the operating mechanism and the disconnector of the disconnector to obtain a set of dynamic images of the operating mechanism and an image of the disconnector; A modeling module for performing three-dimensional modeling based on the set of dynamic images of the operating mechanism and the image of the disconnector to obtain a virtual model of the movement trajectory of the operating mechanism on the disconnector; A simulation module for simulating and analyzing the operating stress of the operating mechanism on the disconnector during the operation process through the virtual model of the movement trajectory to obtain an operating stress distribution map; An evaluation module for performing a fatigue damage assessment on the disconnector based on the operating stress distribution map to obtain a fatigue damage assessment report; A determination module for determining the operation safety of the disconnector for risk based on the fatigue damage assessment report to obtain an operation safety risk level, and formulating a corresponding management strategy based on the operation safety risk level.

9. A computer device, comprising a memory and a processor, wherein a computer program is stored in the memory, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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