System and method for identifying insulation shielding effect of distribution network in non-power-cut operation

Abstract

The invention discloses a distribution network non-power-cut operation insulation shielding effect identification system, and particularly relates to the technical field of power distribution network operation, and the system comprises a power distribution network topological graph building module which is used for building a three-dimensional simulation model of a power distribution network overhead line, and marking an electrified body and an insulation shielding tool on the overhead line in the three-dimensional simulation model; the data acquisition module is used for acquiring an actual operation scene image of a target operation position; the overhead line position analysis module is used for obtaining a position offset evaluation index of the overhead line at the target operation position; the insulation shielding effect analysis module is used for acquiring a corrected insulation performance evaluation index; the electric shock risk analysis module is used for acquiring an electric shock risk index of the target operation position; the hot-line work safety evaluation module is used for obtaining a hot-line work safety coefficient; and the hot-line work safety judgment module is used for judging the relationship between the safety coefficient of the non-power-cut work and a preset value, and taking corresponding measures according to a judgment result, so that standardized evaluation is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network operation analysis, and more specifically, to a system and method for identifying insulation shielding effects of distribution network non-stop operation. Background Art

[0002] In actual operation and maintenance scenarios, overhead lines are an important part of power transmission, and their stability and safety are directly related to the continuity and reliability of power supply. However, due to the inevitable influence of natural environmental factors (such as wind, rain, lightning, temperature changes) and human activities (such as construction damage and tree growth), key components of overhead lines such as conductors, insulators, and towers often deform, age, or even become damaged, which requires the rapid and accurate generation of targeted maintenance instructions.

[0003] Traditional overhead line maintenance methods, if power outages are used, will not only seriously affect the power supply of surrounding users, causing economic losses and social inconvenience, but may also increase the risk of equipment damage due to prolonged power outages. Therefore, under the premise of ensuring safety, implementing distribution network non-stop operations has become an important trend in modern power maintenance.

[0004] However, it still has many shortcomings in actual use. For example, in order to ensure the safety of non-stop operations, it traditionally relies on the intuitive judgment and experience of on-site staff to evaluate the effectiveness of insulation shielding measures. However, this method has significant subjectivity and uncertainty, making it difficult to form a standardized evaluation system, and it is difficult to objectively define responsibility or analyze the cause when an accident occurs. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a system and method for identifying insulation shielding effects of non-stop operations in distribution networks to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A system for identifying insulation shielding effects of non-stop power distribution network operations, comprising:

[0008] A distribution network topology building module, based on the image of the distribution network overhead line, builds a three-dimensional simulation model of the distribution network overhead line, and marks the live parts and insulation shielding equipment on the overhead line in the three-dimensional simulation model;

[0009] A data acquisition module is used to obtain a target operation position of the overhead line of the distribution network, and based on the target operation position, to acquire an actual operation scene image of the target operation position and store it in a database;

[0010] An overhead line position analysis module is used to process the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position deviation evaluation index of the overhead line at the target operation position;

[0011] The insulation shielding effect analysis module is used to process the actual working scene image, obtain the actual appearance characteristics of the insulation shielding equipment, and obtain the insulation shielding performance evaluation index by combining the actual appearance characteristics of the insulation shielding equipment with the standard appearance characteristics of the insulation shielding equipment; obtain the use time and expected service life of the insulation shielding equipment, obtain the first correction coefficient, and obtain the corrected insulation performance evaluation index based on the first correction coefficient;

[0012] An electric shock risk analysis module is used to obtain an electric shock risk index at a target operation location;

[0013] The live working safety assessment module combines the position deviation assessment index, the modified insulation performance assessment index and the electric shock risk index of the target working position to obtain the live working safety factor;

[0014] The live working safety judgment module judges the relationship between the safety factor of the live working and the preset value, and takes corresponding measures according to the judgment result.

[0015] Furthermore, the position deviation evaluation index WYp of the overhead line at the target operation position is obtained as follows:

[0016] Obtain the distance and angle of the key components in the target operation position that deviate from their normal state, recorded as the position offset; the key components at least include towers, live lines, insulation shielding equipment, grounding devices, lightning protection devices, and line fixing facilities;

[0017] Use the position offset d and the preset offset d max The ratio of the deformation degree parameter is obtained; the deformation degree parameter ranges from 0 to 1. When the deformation is 1, it means that the key component is missing, and when the deformation is 0, it means that the key component does not have deformation. Calculate the deformation of key components. Assume that there are m key components, and use j to represent the sequence number of key components. Match the proportional coefficient kj for each key component, and record the deformation degree of the jth key component as xbj. The position deviation assessment index is calculated; the larger the position deviation assessment index is, the greater the difficulty and risk of live working is.

[0018] Further, the process of obtaining the insulation shielding performance evaluation index includes:

[0019] Step S11, identifying the specific type of the insulating shielding tool based on the insulating shielding tool automatic recognition model, inputting the actual operation scene image into the insulating shielding tool automatic recognition model, and outputting the predicted probability distribution;

[0020] Step S12, searching from the database based on the specific type, and outputting the standard image corresponding to each insulating shielding device;

[0021] Step S13, comparing the standard image and the actual image, performing image preprocessing, feature extraction and comparison processing, and outputting appearance features; recording the appearance features of the standard image as standard appearance features, and recording the appearance features of the actual image as actual appearance features;

[0022] Step S14, quantifying the specific influence of each appearance feature on the insulation performance, and obtaining a weight coefficient of each appearance feature;

[0023] Step S15: Combine the standard appearance features, the actual appearance features and the weight coefficients of the appearance features to obtain the insulation shielding performance evaluation index JYp of the insulation equipment.

[0024] Furthermore, the insulation shielding performance evaluation index JYp is obtained as follows:

[0025] Obtain the number of preset insulating shielding tools and the number of insulating shielding tools existing in the actual operation scene image, and calculate the missing rate ql of the insulating shielding tools;

[0026] Suppose there are s insulating shielding appliances, and k is used to represent the serial number of the insulating shielding appliances; suppose there are t appearance features of the insulating shielding appliances, and q is used to represent the serial number of the appearance features;

[0027] According to the influence of each appearance feature on the insulation performance, a weight coefficient is matched for each appearance feature, and the weight coefficient of the qth appearance feature of the kth insulation shielding device is recorded as q_kq; the qth actual appearance feature of the kth insulation shielding device is recorded as ws_kq, and the qth standard appearance feature of the kth insulation shielding device is recorded as wb_kq; through the formula The insulation shielding performance evaluation index JYp is calculated.

[0028] Furthermore, the method for constructing the automatic identification model of the insulating shielding tool comprises the following steps:

[0029] Step S21, data collection and preprocessing: collect actual working scene images containing charged objects and insulating shielding tools, use data enhancement technology to increase the diversity and robustness of the data, and output the preprocessed working scene images;

[0030] Step S22, annotating the preprocessed work scene image, distinguishing the specific types of live objects and insulating shielding tools, and outputting a sample set; dividing the sample set into a training set and a verification set according to a preset ratio;

[0031] Step S23: Select a deep learning framework and initialize parameters;

[0032] Step S24, model training: configure training parameters, use the training set to perform model training, monitor the cross entropy loss function and accuracy during the training process, and adjust the model parameters to optimize performance; the cross entropy loss function is the difference between the predicted probability distribution and the true probability distribution, and output the trained model;

[0033] Step S25, model evaluation: Use the test set that has not participated in the training to evaluate the model trained in step S24, and check the recognition accuracy and recall rate of the model; tune the model according to the evaluation results, introduce the attention mechanism and feature fusion technology to improve the recognition ability of the model; when the recognition accuracy and recall rate of the model meet the requirements, output the trained model;

[0034] Step S26, model deployment: deploy the trained model to the actual work scene, and capture the work scene image in real time through machine vision equipment; use the deployed model to process the image in real time to automatically identify charged objects and insulating shielding equipment.

[0035] Furthermore, the modified insulation performance evaluation index is obtained as follows:

[0036] Get the usage time and expected service life of each insulating shielding device through the formula The first correction coefficient is calculated, where st represents the use time of the insulating shielding device, and yt represents the expected service life of the insulating shielding device; through the formula The modified insulation shielding performance evaluation index JYp" is calculated, where e represents a natural constant.

[0037] Furthermore, the target working position electric shock risk index RI is obtained as follows:

[0038] Collect the voltage level and line layout complexity parameters of the target operation location; record the environmental humidity, temperature, and dust concentration parameters of the target operation location; record the voltage level as DV, the line layout complexity as L, and the working environment humidity, temperature, and dust concentration as H, T, and D, respectively;

[0039] Through the formula RI=β0+β1*DV+β2*L+β3*H+β4*T+β5*D+β6*H*T+β7*T 2 The electric shock risk index RI of the target working position is calculated.

[0040] Among them, β0 is the intercept term, β1, β2, β3, β4, β5, β6, β7 are regression coefficients, corresponding to the weights of voltage level, line layout complexity, humidity, temperature, dust concentration, humidity-temperature interaction term, and quadratic term of temperature, respectively, and ∈ is the error term, which represents the variation that the model cannot explain.

[0041] Furthermore, through the formula The safety factor DZF for live working is calculated; f1 and f2 are weight coefficients used to adjust the influence of different indexes on the final safety factor.

[0042] Furthermore, assuming that the preset safety factor threshold is Dth, if DZF≥Dth, the operation is judged to be safe and can continue; if DZF<Dth, the operation is judged to have safety hazards and corresponding safety measures need to be taken.

[0043] On the other hand, the present invention also provides a method for identifying insulation shielding effect of non-stop operation of distribution network, characterized in that it comprises the following steps:

[0044] Step 1: Based on the image of the overhead line of the distribution network, a three-dimensional simulation model of the overhead line of the distribution network is constructed, and the live parts and insulating shielding equipment on the overhead line are marked in the three-dimensional simulation model;

[0045] Step 2: Obtain the target operation position of the overhead line of the distribution network, collect the actual operation scene image of the target operation position according to the target operation position, and store it in the database;

[0046] Step 3: Process the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position offset evaluation index of the overhead line at the target operation position;

[0047] Step 4: Process the actual operation scene image to obtain the actual appearance features of the insulation shielding equipment, and obtain the insulation shielding performance evaluation index by combining the actual appearance features of the insulation shielding equipment with the standard appearance features of the insulation shielding equipment; obtain the use time and expected service life of the insulation shielding equipment to obtain a first correction coefficient, and obtain a corrected insulation performance evaluation index based on the first correction coefficient;

[0048] Step 5: Obtaining the electric shock risk index of the target operation position;

[0049] Step 6: Combine the position deviation evaluation index, the modified insulation performance evaluation index and the electric shock risk index of the target working position to obtain the safety factor of live working;

[0050] Step 7: Determine the relationship between the safety factor of non-power-off operation and the preset value, and take corresponding measures based on the judgment result.

[0051] Technical effects and advantages of the present invention:

[0052] (1) The insulation shielding effect identification system for non-stop power supply operation in the distribution network provided by the present invention collects images of overhead lines of the distribution network through drones, constructs a three-dimensional simulation model, and marks live objects and insulation facilities. The data acquisition module obtains and stores the target operation position image. The position analysis module evaluates the position offset, and the insulation shielding effect analysis module calculates the corrected insulation performance evaluation index based on the appearance characteristics and the usage time. The electric shock risk analysis module obtains the electric shock risk index. The live operation safety assessment module calculates the safety factor of the live operation based on the above indexes. The safety judgment module determines whether safety measures need to be taken based on the comparison of the safety factor with the preset value. This process not only provides reliable decision-making support for on-site operators and ensures the safe conduct of non-stop power supply operations, but also retains detailed operation evidence through automated recording and analysis, providing strong support for subsequent operation and maintenance management, accident analysis and responsibility tracing.

[0053] (2) The insulation shielding effect identification system for distribution network non-stop operation provided by the present invention is based on artificial intelligence to build, train and verify an automatic identification model for insulation shielding equipment, which solves the problem that traditional insulation shielding assessment relies on human intuitive judgment, reduces subjectivity and uncertainty, and realizes standardized assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a structural block diagram of the insulation shielding effect identification system for non-stop power operations of the present invention.

[0055] Figure 2 The figure is a flow chart of the insulation shielding performance evaluation process of the present invention. DETAILED DESCRIPTION

[0056] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0057] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0058] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present application, its application, or uses.

[0059] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0060] Example 1

[0061] See also Figure 1 The present invention provides a structural block diagram of the insulation shielding effect recognition system for non-stop power supply operation. Figure 1 The insulation shielding effect identification system for non-stop power supply operation of a distribution network shown in the figure comprises:

[0062] A distribution network topology map building module is used to scan the image of the distribution network overhead line through a scanning device carried by a drone, and build a three-dimensional simulation model of the distribution network overhead line based on the image, marking the live parts and insulation shielding equipment on the overhead line;

[0063] The data acquisition module is used to obtain the target operation position of the overhead line of the distribution network, and according to the target operation position, the actual operation scene image of the target operation position is acquired by the camera device carried by the drone, and stored in the database;

[0064] An overhead line position analysis module is used to analyze the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position deviation evaluation index of the overhead line at the target operation position;

[0065] The insulation shielding effect analysis module is used to process the actual working scene image, obtain the actual appearance characteristics of the insulation shielding equipment, and obtain the insulation shielding performance evaluation index by combining the actual appearance characteristics of the insulation shielding equipment with the standard appearance characteristics of the insulation shielding equipment; obtain the use time and expected service life of the insulation shielding equipment, obtain the first correction coefficient, and obtain the corrected insulation performance evaluation index based on the first correction coefficient;

[0066] An electric shock risk analysis module is used to obtain an electric shock risk index at a target operation location;

[0067] The live working safety assessment module combines the position deviation assessment index, the modified insulation performance assessment index and the electric shock risk index of the target working position to obtain the live working safety factor;

[0068] The live working safety judgment module judges the relationship between the safety factor of the live working and the preset value, and takes corresponding measures according to the judgment result.

[0069] It needs to be further explained in the embodiment of the present invention that the position deviation evaluation index WYp of the overhead line at the target operation position is obtained in the following manner:

[0070] Obtain the distance and angle of the key components in the target operation position that deviate from their normal or designed positions, recorded as position offset; the key components at least include towers, live lines, insulation shielding equipment, grounding devices, lightning protection devices, and line fixing facilities;

[0071] Use the position offset d and the preset offset d max The ratio of the deformation degree parameter is obtained; the deformation degree parameter ranges from 0 to 1. When the deformation is 1, it means that the key component is missing, and when the deformation is 0, it means that the key component does not have deformation. Calculate the deformation of key components. Assume that there are m key components, and use j to represent the sequence number of key components. Match the proportional coefficient kj for each key component, and record the deformation degree of the jth key component as xbj. The position deviation assessment index is calculated; the larger the position deviation assessment index is, the greater the difficulty and risk of live working is.

[0072] See also Figure 2 The process flow chart of the insulation shielding performance evaluation process is as follows:

[0073] Step S11, identifying the specific type of the insulating shielding tool based on the insulating shielding tool automatic recognition model, inputting the actual operation scene image into the insulating shielding tool automatic recognition model, and outputting the predicted probability distribution;

[0074] Step S12, searching from the database based on the specific type, and outputting the standard image corresponding to each insulating shielding device;

[0075] Step S13, comparing the standard image and the actual image, performing image preprocessing, feature extraction and comparison processing (analysis), and outputting appearance features; recording the appearance features of the standard image as standard appearance features, and recording the appearance features of the actual image as actual appearance features;

[0076] Step S14, quantifying the specific influence of each appearance feature on the insulation performance through experiments, simulations or empirical data, and obtaining a weight coefficient of each appearance feature; the appearance features at least include shape, size, color, and texture;

[0077] Step S15: jointly process (analyze) the standard appearance features, the actual appearance features and the appearance feature weight coefficients to evaluate the insulation shielding performance evaluation index JYp of the insulating device.

[0078] It needs to be further explained in the embodiment of the present invention that the insulation shielding performance evaluation index JYp is obtained in the following manner:

[0079] Obtain the number of preset insulating shielding tools and the number of insulating shielding tools existing in the actual operation scene image, and calculate the missing rate ql of the insulating shielding tools;

[0080] Suppose there are s insulating shielding appliances, and k is used to represent the serial number of the insulating shielding appliances; suppose there are t appearance features of the insulating shielding appliances, and q is used to represent the serial number of the appearance features;

[0081] According to the influence degree of each appearance feature on the insulation performance, a weight coefficient is matched for each appearance feature, and the weight coefficient of the qth appearance feature of the kth insulation shielding device is recorded as q_kq; the qth actual appearance feature of the kth insulation shielding device is recorded as ws_kq, and the qth standard appearance feature of the kth insulation shielding device is recorded as wb_kq;

[0082] By formula The insulation shielding performance evaluation index JYp is calculated.

[0083] It needs to be further explained in the embodiment of the present invention that the method for building the automatic identification model of the insulating shielding device includes the following steps:

[0084] Step S21, data collection and preprocessing: collect a large number of actual work scene images containing charged objects and insulating shielding tools, crop, scale, and normalize the actual work scene images to ensure the consistency of input data, use data enhancement technology (such as rotation, flipping, brightness adjustment, etc.) to increase the diversity and robustness of the data, and output the preprocessed work scene images; the actual work scene images include different angles, lighting conditions, and occlusion conditions of the work scene;

[0085] Step S22: annotate the preprocessed work scene image, clearly distinguish the specific types of charged objects and insulating shielding tools, and output a sample set; divide the sample set into a training set and a verification set according to the proportion;

[0086] Step S23: Select a deep learning framework and initialize parameters;

[0087] Step S24, model training: configure training parameters, such as learning rate, batch size, training rounds, etc.; use the training set to train the model, monitor the cross entropy loss function and accuracy during the training process, and adjust the model parameters to optimize the performance; the cross entropy loss function is the difference between the predicted probability distribution and the true probability distribution, and output the trained model;

[0088] Step S25, model evaluation: Use the test set that has not participated in the training to evaluate the model trained in step S24, and check the model's recognition accuracy and recall rate and other indicators; tune the model according to the evaluation results, such as adjusting the network structure, optimizing training parameters, etc.; introduce attention mechanism and feature fusion technology to improve the model's recognition ability; when the model's recognition accuracy and recall rate meet the requirements, output the trained model.

[0089] Step S26, model deployment: deploy the trained model to the actual work scene, and capture the work scene image in real time through machine vision equipment (such as a camera); use the deployed model to process the image in real time to automatically identify charged objects and insulating shielding equipment.

[0090] It needs to be further explained in the embodiment of the present invention that the modified insulation performance evaluation index is obtained in the following manner:

[0091] Get the usage time and expected service life of each insulating shielding device through the formula The first correction coefficient is calculated, where st represents the use time of the insulating shielding device, and yt represents the expected service life of the insulating shielding device; through the formula The modified insulation shielding performance evaluation index JYp" is calculated, where e represents a natural constant.

[0092] 5. A distribution network non-stop operation insulation shielding effect identification system according to claim 1, characterized in that the electric shock risk index RI of the target operation position is obtained by:

[0093] Collect the voltage level and line layout complexity parameters of the target operation location; record the environmental humidity, temperature, and dust concentration parameters of the target operation location; use RI to represent the electric shock risk index, record the voltage level as DV, record the line layout complexity as L, the value range of L is 0 to 1, and record the working environment humidity, temperature, and dust concentration as H, T, and D respectively;

[0094] Through the formula RI=β0+β1*DV+β2*L+β3*H+β4*T+β5*D+β6*H*T+β7*T 2 The electric shock risk index RI of the target working position is calculated.

[0095] Among them, β0 is the intercept term, β1, β2, β3, β4, β5, β6, β7 are regression coefficients, corresponding to the weights of voltage level, line layout complexity, humidity, temperature, dust concentration, humidity-temperature interaction term, and quadratic term of temperature, respectively, ∈ is the error term, and the error term represents the variation that the model cannot explain; Data standardization: Since the dimensions and ranges of each variable may be different, it is usually necessary to standardize the data so that each variable has the same weight in the model.

[0096] It is necessary to further explain in the embodiment of the present invention that the combined position offset evaluation index, the modified insulation performance evaluation index and the target operation position electric shock risk index are calculated by the formula The safety factor DZF for live working is calculated; f1 and f2 are weight coefficients, which are used to adjust the influence of different indexes on the final safety factor and are determined according to actual conditions.

[0097] What needs to be further explained in the embodiments of the present invention is that the safety factor of live working is obtained by combining the position offset evaluation index, the corrected insulation performance evaluation index and the electric shock risk index of the target working position; the relationship between the safety factor of working without power outage and the preset value is judged, and corresponding measures are taken according to the judgment result; the preset safety factor threshold is set to Dth, if DZF≥Dth, the operation is judged to be safe and can continue; if DZF<Dth, it is judged that there are safety hazards in the operation, and corresponding safety measures need to be taken, such as suspending the operation, strengthening insulation, adjusting the working position, automatically generating power-off and operation-stopping instructions, and notifying the operating personnel and the monitoring center through sound and light alarms, remote communications, etc.

[0098] Example 2

[0099] An embodiment of the present invention provides a method for identifying insulation shielding effects of non-stop power supply operations in a distribution network, comprising the following steps:

[0100] Step 1: Use a drone to scan the image of the overhead line of the distribution network, build a three-dimensional simulation model of the overhead line of the distribution network, and mark the live parts and insulation shielding equipment on the overhead line;

[0101] Step 2: Obtain the target operation position of the overhead line of the distribution network, and according to the target operation position, collect the actual operation scene image of the target operation position through the camera device carried by the drone, and store it in the database;

[0102] Step 3: Process the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position offset evaluation index of the overhead line at the target operation position;

[0103] Step 4: Process the actual working scene image to obtain the actual appearance features of the insulation shielding equipment, jointly analyze the actual appearance features of the insulation shielding equipment and the standard appearance features of the insulation shielding equipment to obtain the insulation shielding performance evaluation index; obtain the use time and expected service life of the insulation shielding equipment to obtain the first correction coefficient, and obtain the corrected insulation performance evaluation index based on the first correction coefficient;

[0104] Step 5: Obtaining the electric shock risk index of the target operation position;

[0105] Step 6: jointly analyze the position deviation evaluation index, the modified insulation performance evaluation index and the electric shock risk index of the target working position to obtain the safety factor of live working;

[0106] Step 7: Determine the relationship between the safety factor of non-power-off operation and the preset value, and take corresponding measures based on the judgment result.

[0107] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A system for identifying insulation shielding effects of non-stop power distribution network operations, characterized in that: include: A distribution network topology building module, based on the image of the distribution network overhead line, builds a three-dimensional simulation model of the distribution network overhead line, and marks the live parts and insulation shielding equipment on the overhead line in the three-dimensional simulation model; A data acquisition module is used to obtain a target operation position of the overhead line of the distribution network, and based on the target operation position, to acquire an actual operation scene image of the target operation position and store it in a database; An overhead line position analysis module is used to process the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position deviation evaluation index of the overhead line at the target operation position; The insulation shielding effect analysis module is used to process the actual working scene image, obtain the actual appearance characteristics of the insulation shielding equipment, and obtain the insulation shielding performance evaluation index by combining the actual appearance characteristics of the insulation shielding equipment with the standard appearance characteristics of the insulation shielding equipment; obtain the use time and expected service life of the insulation shielding equipment, obtain the first correction coefficient, and obtain the corrected insulation performance evaluation index based on the first correction coefficient; An electric shock risk analysis module is used to obtain an electric shock risk index at a target operation location; The live working safety assessment module combines the position deviation assessment index, the modified insulation performance assessment index and the electric shock risk index of the target working position to obtain the live working safety factor; The live working safety judgment module judges the relationship between the safety factor of the live working and the preset value, and takes corresponding measures according to the judgment result.

2. The system for identifying insulation shielding effects of non-stop power supply operations in distribution networks according to claim 1 is characterized in that: The position deviation evaluation index WYp of the overhead line at the target operation position is obtained as follows: Obtain the distance and angle of the key components in the target operation position that deviate from their normal state, recorded as the position offset; the key components at least include towers, live lines, insulation shielding equipment, grounding devices, lightning protection devices, and line fixing facilities; Use the position offset d and the preset offset d max The ratio of the deformation degree parameter is obtained; the deformation degree parameter ranges from 0 to 1. When the deformation is 1, it means that the key component is missing, and when the deformation is 0, it means that the key component does not have deformation. Calculate the deformation of key components. Assume that there are m key components, and use j to represent the sequence number of key components. Match the proportional coefficient kj for each key component, and record the deformation degree of the jth key component as xbj. The position deviation assessment index is calculated; the larger the position deviation assessment index is, the greater the difficulty and risk of live working is.

3. The system for identifying insulation shielding effects of non-stop power supply operations in distribution networks according to claim 1 is characterized in that: The process of obtaining the insulation shielding performance evaluation index includes: Step S11, identifying the specific type of the insulating shielding tool based on the insulating shielding tool automatic recognition model, inputting the actual operation scene image into the insulating shielding tool automatic recognition model, and outputting the predicted probability distribution; Step S12, searching from the database based on the specific type, and outputting the standard image corresponding to each insulating shielding device; Step S13, comparing the standard image and the actual image, performing image preprocessing, feature extraction and comparison processing, and outputting appearance features; recording the appearance features of the standard image as standard appearance features, and recording the appearance features of the actual image as actual appearance features; Step S14, quantifying the specific influence of each appearance feature on the insulation performance, and obtaining a weight coefficient of each appearance feature; Step S15: Combine the standard appearance features, the actual appearance features and the weight coefficients of the appearance features to obtain the insulation shielding performance evaluation index JYp of the insulation equipment.

4. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 3 is characterized in that: The insulation shielding performance evaluation index JYp is obtained as follows: Obtain the number of preset insulating shielding tools and the number of insulating shielding tools existing in the actual operation scene image, and calculate the missing rate ql of the insulating shielding tools; Suppose there are s insulating shielding appliances, and k is used to represent the serial number of the insulating shielding appliances; suppose there are t appearance features of the insulating shielding appliances, and q is used to represent the serial number of the appearance features; According to the influence of each appearance feature on the insulation performance, a weight coefficient is matched for each appearance feature, and the weight coefficient of the qth appearance feature of the kth insulation shielding device is recorded as q_kq; the qth actual appearance feature of the kth insulation shielding device is recorded as ws_kq, and the qth standard appearance feature of the kth insulation shielding device is recorded as wb_kq; through the formula The insulation shielding performance evaluation index JYp is calculated.

5. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 3 is characterized in that: The method for constructing the automatic identification model of the insulating shielding tool comprises the following steps: Step S21, data collection and preprocessing: collect actual working scene images containing charged objects and insulating shielding tools, use data enhancement technology to increase the diversity and robustness of the data, and output the preprocessed working scene images; Step S22, annotating the preprocessed work scene image, distinguishing the specific types of live objects and insulating shielding tools, and outputting a sample set; dividing the sample set into a training set and a verification set according to a preset ratio; Step S23: Select a deep learning framework and initialize parameters; Step S24, model training: configure training parameters, use the training set to perform model training, monitor the cross entropy loss function and accuracy during the training process, and adjust the model parameters to optimize performance; the cross entropy loss function is the difference between the predicted probability distribution and the true probability distribution, and output the trained model; Step S25, model evaluation: Use the test set that has not participated in the training to evaluate the model trained in step S24, and check the recognition accuracy and recall rate of the model; tune the model according to the evaluation results, introduce the attention mechanism and feature fusion technology to improve the recognition ability of the model; when the recognition accuracy and recall rate of the model meet the requirements, output the trained model; Step S26, model deployment: deploy the trained model to the actual work scene, and capture the work scene image in real time through machine vision equipment; use the deployed model to process the image in real time to automatically identify charged objects and insulating shielding equipment.

6. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 4 is characterized in that: The modified insulation performance evaluation index is obtained as follows: Get the usage time and expected service life of each insulating shielding device through the formula The first correction coefficient is calculated, where st represents the use time of the insulating shielding device, and yt represents the expected service life of the insulating shielding device; through the formula The modified insulation shielding performance evaluation index JYp" is calculated, where e represents a natural constant.

7. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 6, characterized in that: The method for obtaining the electric shock risk index RI of the target working position is: Collect the voltage level and line layout complexity parameters of the target operation location; record the environmental humidity, temperature, and dust concentration parameters of the target operation location; record the voltage level as DV, the line layout complexity as L, and the working environment humidity, temperature, and dust concentration as H, T, and D, respectively; Through the formula RI=β0+β1*DV+β2*L+β3*H+β4*T+β5*D+β6*H*T+β7*T 2 The electric shock risk index RI of the target working position is calculated. Among them, β0 is the intercept term, β1, β2, β3, β4, β5, β6, β7 are regression coefficients, corresponding to the weights of voltage level, line layout complexity, humidity, temperature, dust concentration, humidity-temperature interaction term, and quadratic term of temperature, respectively, and ∈ is the error term, which represents the variation that the model cannot explain.

8. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 7, characterized in that: By formula The safety factor DZF for live working is calculated; f1 and f2 are weight coefficients used to adjust the influence of different indexes on the final safety factor.

9. The system for identifying insulation shielding effect of non-stop power supply operation in distribution network according to claim 8, characterized in that: Assume that the preset safety factor threshold is Dth. If DZF≥Dth, the operation is judged to be safe and can continue; if DZF<Dth, the operation is judged to have safety hazards and corresponding safety measures need to be taken.

10. A method for identifying insulation shielding effect of non-stop power distribution network operation, characterized in that: The following steps are involved: Step 1: Based on the image of the overhead line of the distribution network, a three-dimensional simulation model of the overhead line of the distribution network is constructed, and the live parts and insulating shielding equipment on the overhead line are marked in the three-dimensional simulation model; Step 2: Obtain the target operation position of the overhead line of the distribution network, collect the actual operation scene image of the target operation position according to the target operation position, and store it in the database; Step 3: Process the actual operation scene image and the corresponding preset operation scene image in the three-dimensional simulation model to obtain a position offset evaluation index of the overhead line at the target operation position; Step 4: Process the actual operation scene image to obtain the actual appearance features of the insulation shielding equipment, and obtain the insulation shielding performance evaluation index by combining the actual appearance features of the insulation shielding equipment with the standard appearance features of the insulation shielding equipment; obtain the use time and expected service life of the insulation shielding equipment to obtain a first correction coefficient, and obtain a corrected insulation performance evaluation index based on the first correction coefficient; Step 5: Obtaining the electric shock risk index of the target operation position; Step 6: Combine the position deviation evaluation index, the modified insulation performance evaluation index and the electric shock risk index of the target working position to obtain the safety factor of live working; Step 7: Determine the relationship between the safety factor of non-power-off operation and the preset value, and take corresponding measures based on the judgment result.

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