A method and system for evaluating the aging state of insulation of a high-voltage device

Abstract

This invention discloses a method and system for assessing the insulation aging status of high-voltage equipment, relating to the field of high-voltage equipment insulation detection technology. The invention first extracts original image data of high-voltage equipment with different insulation states, aging types, and degrees from historical insulation aging records, constructs a standard sample library, and preprocesses it to obtain standard image features. Then, it collects image features of the equipment to be assessed, compares them with the standard samples to calculate the comprehensive similarity, determines the insulation state, and identifies the aging type. Next, it extracts operating and environmental parameters, analyzes their influence on the target aging type, and calculates a standard influence benchmark value. Then, it combines the similarity and the two benchmark values ​​to comprehensively assess the insulation aging degree, finally classifying the aging level and triggering the corresponding early warning mechanism. This invention, through the fusion assessment of image features and operating environmental parameters, can identify insulation aging types and calculate the aging degree, achieving high-voltage equipment insulation aging classification and accurate early warning.

Description

Technical Field

[0001] This invention relates to the field of insulation testing technology for high-voltage equipment, and specifically to a method and system for assessing the aging state of insulation in high-voltage equipment. Background Technology

[0002] High-voltage equipment is the core equipment of the power system, and the health of its insulation system directly determines the reliability of the power grid operation. Under the long-term coupling of multiple factors such as electricity, heat, mechanical and environmental factors, insulation materials will gradually deteriorate, become damp and develop local defects, which can easily lead to insulation breakdown, equipment shutdown and even large-scale power grid blackouts.

[0003] Existing technology, such as the invention patent application with publication number CN110488164A, discloses a comprehensive assessment and early warning method and system for the aging state of high-voltage cable insulation. The method includes: collecting preset characteristic parameters as input; calculating the aging degree value of the high-voltage cable insulation based on the preset characteristic parameters and a fuzzy clustering comprehensive assessment model, and determining a comprehensive assessment conclusion; and performing early warning control on the aging state of the high-voltage cable insulation based on the aging degree value and the comprehensive assessment conclusion. This invention provides a comprehensive assessment method for the aging state of high-voltage cable insulation, using multi-factor state parameters to comprehensively assess the state of cable insulation. It is applicable to cable lines under various operating environments and can provide accurate judgment criteria for cable maintenance departments to repair cable equipment and make cable retirement decisions. It is of great significance for improving the power supply reliability of cable lines and enhancing the utilization efficiency of cable equipment.

[0004] As can be seen from the above solutions, existing methods for assessing the insulation aging status of high-voltage equipment rely solely on single image features or operating parameters for judgment. They do not integrate image features with operational and environmental factors for analysis, making them susceptible to environmental and operating condition interference, which can lead to misjudgments or omissions. Furthermore, they rely heavily on manual experience for qualitative judgment, lacking a unified quantitative standard for calculating and classifying the degree of aging. This makes it difficult to accurately identify aging types, achieve early warning and preventive maintenance, and result in poor assessment reliability. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the present invention aims to provide a method and system for assessing the insulation aging status of high-voltage equipment.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a method for evaluating the insulation aging status of high-voltage equipment, including the following steps: Step 1: Extract the original image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types and different aging degrees from historical insulation aging records, construct a standard high-voltage equipment sample library, preprocess the original image data, and obtain the standard high-voltage equipment sample image features.

[0007] Step 2: Collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated.

[0008] Step 3: Extract the operating parameters and environmental parameters of the high-voltage equipment from historical insulation aging records, analyze the degree of influence of the operating parameters and environmental parameters on the insulation aging type to be evaluated, and calculate the benchmark values ​​of the influence of standard operating parameters and standard environmental parameters.

[0009] Step 4: Based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters and the benchmark values ​​of the influence of standard environmental parameters, comprehensively evaluate the insulation aging degree of high-voltage equipment.

[0010] Step 5: Classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

[0011] In a second aspect, the present invention provides a high-voltage equipment insulation aging status assessment system, comprising: a data acquisition module for extracting original image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types, and different aging degrees from historical insulation aging records, constructing a standard high-voltage equipment sample library, and preprocessing the original image data to obtain standard high-voltage equipment sample image features.

[0012] Insulation aging type identification module: used to collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated.

[0013] The parameter impact analysis module is used to extract the operating parameters and environmental parameters of high-voltage equipment from historical insulation aging records, analyze the impact of the operating parameters and environmental parameters on the type of insulation aging to be evaluated, and calculate the benchmark values ​​of the impact of standard operating parameters and standard environmental parameters.

[0014] Insulation Aging Comprehensive Assessment Module: This module is used to comprehensively assess the insulation aging of high-voltage equipment based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters, and the benchmark values ​​of the influence of standard environmental parameters.

[0015] Aging level classification and early warning module: used to classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

[0016] The beneficial effects of this invention are as follows: This invention provides a method and system for assessing the insulation aging status of high-voltage equipment. First, it extracts original image data of high-voltage equipment with different insulation states, aging types, and degrees from historical insulation aging records. A standard sample library is constructed and preprocessed to obtain standard image features. Then, image features of the equipment to be assessed are collected and compared with the standard samples to calculate the comprehensive similarity, determine the insulation state, and identify the aging type. Next, operating and environmental parameters are extracted, their influence on the target aging type is analyzed, and a standard influence benchmark value is calculated. Then, the degree of insulation aging is comprehensively assessed by combining the similarity and the two benchmark values. Finally, aging levels are classified and corresponding early warning mechanisms are triggered. This invention, through the fusion assessment of image features and operating environmental parameters, can identify insulation aging types and calculate aging degrees, achieving high-voltage equipment insulation aging classification and accurate early warning. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.

[0019] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] See Figure 1 As shown, a method for assessing the insulation aging status of high-voltage equipment includes the following steps: Step 1: Extract original image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types, and different aging degrees from historical insulation aging records, construct a standard high-voltage equipment sample library, preprocess the original image data, and obtain the image features of standard high-voltage equipment samples.

[0022] In a specific embodiment, the specific process of step one is as follows: based on the original image data of various high-voltage equipment samples, a standard high-voltage equipment sample library is constructed. The sample library includes samples of normal insulation state, samples of various insulation aging types, and samples of various insulation aging degrees.

[0023] All insulation aging samples in the sample library are labeled, including the insulation aging type and insulation aging level; the original image data of various high-voltage equipment samples are preprocessed sequentially to obtain the standard high-voltage equipment sample image features.

[0024] It should be noted that insulation aging types include electrical aging, thermal aging, mechanical aging, and environmental moisture aging.

[0025] Electrical aging: refers to the performance degradation of insulating materials under the long-term action of electric field and partial discharge, such as partial discharge aging and ionizing radiation aging.

[0026] Thermal aging: refers to the aging of insulating materials caused by oxidation and embrittlement under high temperature, such as long-term operation thermal aging and overload thermal aging.

[0027] Mechanical aging: refers to the aging of insulation caused by wear and cracks under vibration, stress and pressure, such as vibration fatigue aging and mechanical loosening aging.

[0028] Environmental damp aging: refers to the aging caused by moisture contamination of insulation in humid, dusty and dirty environments, such as high humidity moisture absorption aging and water accumulation moisture aging.

[0029] Step 2: Collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated.

[0030] In a specific embodiment, the process of calculating the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment samples is as follows: the image features of the high-voltage equipment to be evaluated are compared with the corresponding image features of various high-voltage equipment samples in the standard high-voltage equipment sample library in a dimension-by-dimensional manner to construct a feature similarity matching matrix.

[0031] The number of image features of the high-voltage equipment to be evaluated that fall within the feature range of the standard high-voltage equipment sample image is counted. The number of image features that fall within the feature range of the standard high-voltage equipment sample image is divided by the total number of image features to obtain the one-dimensional similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment sample image.

[0032] Each single-dimensional similarity is filled into the feature similarity matching matrix according to its corresponding position. All single-dimensional similarities in the feature similarity matching matrix are weighted, summed, and normalized to obtain the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment sample.

[0033] The calculated overall similarity is compared with the preset insulation condition judgment threshold. When the overall similarity is greater than or equal to the insulation condition judgment threshold, the insulation condition of the high-voltage equipment to be evaluated is determined to be normal insulation condition; when the overall similarity is less than the insulation condition judgment threshold, the insulation condition of the high-voltage equipment to be evaluated is determined to be insulation aging condition.

[0034] The insulation aging type corresponding to the standard high-voltage equipment sample with the highest comprehensive similarity is selected as the insulation aging type of the high-voltage equipment to be evaluated.

[0035] It should be noted that image features are quantitative features extracted from device images to represent the state of insulation aging, including color features and texture features.

[0036] Feature similarity matching matrix: A two-dimensional matrix with the features of the equipment to be evaluated as rows and the standard high-voltage equipment sample categories as columns, used to store the similarity values ​​between each feature dimension and each standard high-voltage equipment sample.

[0037] Normalization is a preprocessing operation performed on all single-dimensional similarities within the feature similarity matching matrix. It is used to eliminate differences in magnitude or unit between different types of data. The specific calculation process of normalization can be found on the Internet and is an existing technology, so it will not be elaborated here.

[0038] The insulation condition judgment threshold is a critical value used to distinguish the insulation condition categories of high-voltage equipment. It serves as the basis for judging whether the equipment is in an insulation aging state. It is set by technicians according to the judgment requirements, and no specific numerical limit is set here.

[0039] Step 3: Extract the operating parameters and environmental parameters of the high-voltage equipment from historical insulation aging records, analyze the degree of influence of the operating parameters and environmental parameters on the insulation aging type to be evaluated, and calculate the benchmark values ​​of the influence of standard operating parameters and standard environmental parameters.

[0040] In a specific embodiment, the process of analyzing the influence of operating parameters and environmental parameters on the insulation aging type to be evaluated is as follows: extract from historical insulation aging records the operating parameters corresponding to the insulation aging type to be evaluated when insulation aging occurs, the baseline value of the influence of operating parameters on insulation aging, environmental parameters, and the baseline value of the influence of environmental parameters on insulation aging.

[0041] Within the insulation aging type to be evaluated, multiple sets of benchmark values ​​for the influence of the same operating parameter and multiple sets of benchmark values ​​for the influence of the same environmental parameter are statistically analyzed and grouped. Cluster analysis is used to remove abnormal discrete data to obtain the benchmark values ​​for the influence of each operating parameter and the benchmark values ​​for the influence of each environmental parameter in the insulation aging type to be evaluated.

[0042] Establish a mapping relationship between the insulation aging type to be evaluated, operating parameters, environmental parameters, the baseline value of the influence of standard operating parameters, and the baseline value of the influence of standard environmental parameters.

[0043] By collecting the operating parameters and environmental parameters of the insulation aging type to be evaluated and matching them with the mapping relationship, the baseline values ​​of the influence of standard operating parameters and standard environmental parameters corresponding to the insulation aging type to be evaluated are obtained.

[0044] It should be noted that operating parameters are parameters that reflect the real-time operating status of high-voltage equipment, including operating voltage and load current.

[0045] Environmental parameters: These are parameters that reflect the external environmental conditions of the high-voltage equipment, including ambient temperature and humidity.

[0046] Anomalous discrete data: refers to isolated data in the classification sample library that deviates from the overall sample data distribution pattern due to sudden equipment interference, acquisition errors, or extreme operating conditions. This type of data will interfere with the accuracy of the baseline value and needs to be removed through cluster analysis.

[0047] The specific calculation process of cluster analysis can be found on the Internet, as it is existing technology and will not be elaborated here.

[0048] Preferably, the specific calculation process of the standard operating parameter influence benchmark value is as follows: extract the duration of abnormal operating parameters, the downtime caused by abnormal operating parameters, the cost of adjusting operating parameters, and the number of times abnormal operating parameters are reproduced when the insulation aging type to be evaluated occurs from the historical insulation aging records, and assign weights of 0.4 to the duration of abnormal operating parameters, 0.3 to the downtime caused by abnormal operating parameters, 0.2 to the cost of adjusting operating parameters, and 0.1 to the number of times abnormal operating parameters are reproduced.

[0049] The baseline value for the impact of standard operating parameters = duration of abnormal operating parameters × 0.4 + downtime caused by abnormal operating parameters × 0.3 + cost of adjusting operating parameters × 0.2 + number of times abnormal operating parameters are reproduced × 0.1.

[0050] It should be noted that the duration of abnormal operating parameters is: the duration of abnormal operating parameters = the time difference between the moment when the operating parameters first deviate from the standard normal range and the moment when the operating parameters return to the normal threshold range.

[0051] Downtime caused by abnormal operating parameters: Downtime caused by abnormal operating parameters = the time difference between the moment when the equipment starts to stop due to abnormal operating parameters and the moment when the equipment fault is eliminated and normal operation is restored. If multiple downtimes caused by abnormal operating parameters occur within the same insulation aging event, the downtime caused by abnormal operating parameters is the sum of the downtimes of each downtime.

[0052] Operating parameter adjustment cost: refers to all costs incurred in resolving abnormal operating parameters and restoring them to the standard range. Operating parameter adjustment cost = labor cost for equipment parameter debugging + energy consumption cost during debugging + cost of debugging consumables and spare parts.

[0053] Number of times abnormal operating parameters are reproduced: This refers to the number of times the same abnormal operating parameter situation corresponding to the type of insulation aging to be evaluated is repeated in the historical insulation aging record.

[0054] Preferably, the specific calculation process of the standard environmental parameter impact benchmark value is as follows: extract the duration of environmental parameter anomalies, the downtime caused by environmental parameter anomalies, the environmental parameter control cost, and the number of environmental parameter anomalies recurring at the time of insulation aging from historical insulation aging records, and assign weights of 0.4 to the duration of environmental parameter anomalies, 0.3 to the downtime caused by environmental parameter anomalies, 0.2 to the environmental parameter control cost, and 0.1 to the number of environmental parameter anomalies recurring.

[0055] The baseline value for the impact of standard environmental parameters = duration of abnormal environmental parameters × 0.4 + downtime caused by abnormal environmental parameters × 0.3 + cost of environmental parameter control × 0.2 + number of times abnormal environmental parameters are reproduced × 0.1.

[0056] It should be noted that the duration of abnormal environmental parameters is: the duration of abnormal environmental parameters = the time difference between the moment when the environmental parameters begin to deviate from the normal allowable range and the moment when the environmental parameters return to normal.

[0057] Downtime caused by abnormal environmental parameters: Downtime caused by abnormal environmental parameters = the time difference between the moment when the equipment starts to stop due to abnormal environmental parameters and the moment when the equipment resumes normal operation. If multiple shutdowns occur in the same insulation aging event, the downtime caused by abnormal environmental parameters is the sum of the downtimes of each shutdown.

[0058] Environmental parameter control cost: refers to the various costs incurred to restore abnormal environmental parameters to the normal range. Environmental parameter control cost = energy consumption cost of environmental control equipment + labor operation and maintenance cost + environmental treatment consumable cost.

[0059] Number of times environmental parameter anomalies recur: refers to the number of times the same type of environmental parameter anomalies associated with this type of insulation aging occur repeatedly in historical insulation aging records.

[0060] Step 4: Based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters and the benchmark values ​​of the influence of standard environmental parameters, comprehensively evaluate the insulation aging degree of high-voltage equipment.

[0061] In a specific embodiment, the process of comprehensively evaluating the insulation aging degree of high-voltage equipment is as follows: weight coefficients are assigned to the comprehensive similarity of image features, the benchmark value of the influence of standard operating parameters, and the benchmark value of the influence of standard environmental parameters, respectively, wherein the weight of the comprehensive similarity of image features is 0.6, the weight of the benchmark value of the influence of standard operating parameters is 0.3, and the weight of the benchmark value of the influence of standard environmental parameters is 0.1.

[0062] The degree of insulation aging of high-voltage equipment = (1 - comprehensive similarity of image features) × 0.6 + standard operating parameter influence benchmark value × 0.3 + standard environmental parameter influence benchmark value × 0.1.

[0063] Step 5: Classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

[0064] In a specific embodiment, the process of classifying the insulation aging level of the high-voltage equipment to be evaluated is as follows: based on the insulation aging level, the insulation aging level type is classified, including mild insulation aging level, moderate insulation aging level and severe insulation aging level, and the insulation aging degree range corresponding to the mild insulation aging level, moderate insulation aging level and severe insulation aging level is extracted from the standard high-voltage equipment sample library.

[0065] The insulation aging level corresponding to the calculated range of insulation aging degree is used as the insulation aging level of the high-voltage equipment to be evaluated.

[0066] In a specific embodiment, the specific process of triggering the corresponding level of the early warning mechanism is as follows: (1) When it is determined to be mild insulation aging, a regular early warning is triggered, the equipment status prompt information is pushed to the operation and maintenance terminal, and regular inspection and regular status monitoring are performed according to the preset cycle.

[0067] (2) When the insulation is determined to be moderately aged, an enhanced early warning is triggered, an abnormal equipment status reminder is pushed, the monitoring cycle is shortened and the inspection frequency is increased, and the equipment operating parameters and insulation status are tracked and monitored in a key manner.

[0068] (3) When it is determined to be severe insulation aging, an emergency warning is triggered, a serious equipment fault alarm is pushed, and the key hidden danger investigation and emergency response process is initiated.

[0069] It should be noted that the preset cycle is a pre-set time period for performing regular inspections and routine status monitoring of the equipment, such as a 24-hour cycle or a 7-day cycle.

[0070] Monitoring cycle: The time interval for monitoring the status of equipment.

[0071] Inspection frequency: The number of times equipment is inspected per unit of time.

[0072] Emergency Response Procedures: Standardized procedures for emergency response, shutdown control, and repair / replacement in response to serious hidden dangers such as severe insulation aging in high-voltage equipment.

[0073] See Figure 2 As shown, a high-voltage equipment insulation aging status assessment system includes: a data acquisition module: used to extract original image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types and different aging degrees from historical insulation aging records, construct a standard high-voltage equipment sample library, and preprocess the original image data to obtain standard high-voltage equipment sample image features.

[0074] Insulation aging type identification module: used to collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated.

[0075] The parameter impact analysis module is used to extract the operating parameters and environmental parameters of high-voltage equipment from historical insulation aging records, analyze the impact of the operating parameters and environmental parameters on the type of insulation aging to be evaluated, and calculate the benchmark values ​​of the impact of standard operating parameters and standard environmental parameters.

[0076] Insulation Aging Comprehensive Assessment Module: This module is used to comprehensively assess the insulation aging of high-voltage equipment based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters, and the benchmark values ​​of the influence of standard environmental parameters.

[0077] Aging level classification and early warning module: used to classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

[0078] The database is used to store standard high-voltage equipment sample data, image feature data, insulation aging records, operating parameters, environmental parameters, insulation aging types, insulation aging levels and insulation aging degrees, and also to store insulation condition judgment thresholds.

[0079] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.

[0080] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for assessing the insulation aging condition of high-voltage equipment, characterized in that, Includes the following steps: Step 1: Extract raw image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types, and different aging degrees from historical insulation aging records, construct a standard high-voltage equipment sample library, and preprocess the raw image data to obtain standard high-voltage equipment sample image features. Step 2: Collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated. Step 3: Extract the operating parameters and environmental parameters of the high-voltage equipment from historical insulation aging records, analyze the degree of influence of the operating parameters and environmental parameters on the insulation aging type to be evaluated, and calculate the benchmark values ​​of the influence of standard operating parameters and standard environmental parameters. Step 4: Based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters and the benchmark values ​​of the influence of standard environmental parameters, comprehensively evaluate the insulation aging degree of high-voltage equipment; Step 5: Classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

2. The method for assessing the insulation aging status of high-voltage equipment according to claim 1, characterized in that, The specific process of step one is as follows: Based on the original image data of various high-voltage equipment samples, a standard high-voltage equipment sample library is constructed. The sample library includes samples in normal insulation state, samples of various insulation aging types, and samples of various insulation aging degrees. All insulation aging samples in the sample library are labeled, including the insulation aging type and insulation aging level; the original image data of various high-voltage equipment samples are preprocessed sequentially to obtain the standard high-voltage equipment sample image features.

3. The method for assessing the insulation aging condition of high-voltage equipment according to claim 1, characterized in that, The specific process for calculating the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of standard high-voltage equipment samples is as follows: The image features of the high-voltage equipment to be evaluated are compared with the corresponding image features of various high-voltage equipment samples in the standard high-voltage equipment sample library in a dimension-by-dimensional manner to construct a feature similarity matching matrix. The number of image features of the high-voltage equipment to be evaluated that fall within the feature range of the standard high-voltage equipment sample image is counted. The number of image features that fall within the feature range of the standard high-voltage equipment sample image is divided by the total number of image features to obtain the one-dimensional similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment sample image. Each single-dimensional similarity is filled into the feature similarity matching matrix according to its corresponding position. All single-dimensional similarities in the feature similarity matching matrix are weighted, summed, and normalized to obtain the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment sample. The calculated overall similarity is compared with the preset insulation state judgment threshold. When the overall similarity is greater than or equal to the insulation state judgment threshold, the insulation state of the high-voltage equipment to be evaluated is determined to be normal insulation state; when the overall similarity is less than the insulation state judgment threshold, the insulation state of the high-voltage equipment to be evaluated is determined to be insulation aging state. The insulation aging type corresponding to the standard high-voltage equipment sample with the highest comprehensive similarity is selected as the insulation aging type of the high-voltage equipment to be evaluated.

4. The method for assessing the insulation aging status of high-voltage equipment according to claim 1, characterized in that, The specific process for analyzing the impact of operating parameters and environmental parameters on the type of insulation aging to be evaluated is as follows: Extract the operating parameters, the baseline values ​​of the impact of operating parameters on insulation aging, environmental parameters, and the baseline values ​​of the impact of environmental parameters on insulation aging from historical insulation aging records when the insulation aging type to be evaluated occurs; Within the insulation aging type to be evaluated, multiple sets of benchmark values ​​for the influence of operating parameters corresponding to the same operating parameter and multiple sets of benchmark values ​​for the influence of environmental parameters corresponding to the same environmental parameter are statistically analyzed and grouped. Cluster analysis is used to remove abnormal discrete data to obtain the benchmark values ​​for the influence of standard operating parameters and the benchmark values ​​for the influence of standard environmental parameters for each operating parameter in the insulation aging type to be evaluated. Establish a mapping relationship between the insulation aging type to be evaluated, operating parameters, environmental parameters, the baseline value of the influence of standard operating parameters, and the baseline value of the influence of standard environmental parameters; By collecting the operating parameters and environmental parameters of the insulation aging type to be evaluated and matching them with the mapping relationship, the baseline values ​​of the influence of standard operating parameters and standard environmental parameters corresponding to the insulation aging type to be evaluated are obtained.

5. The method for assessing the insulation aging status of high-voltage equipment according to claim 4, characterized in that, The specific calculation process for the benchmark value of the influence of the standard operating parameters is as follows: Extract the duration of abnormal operating parameters, the downtime caused by abnormal operating parameters, the cost of adjusting operating parameters, and the number of times abnormal operating parameters are reproduced when the insulation aging type to be evaluated occurs from the historical insulation aging records. Assign weights of 0.4 for the duration of abnormal operating parameters, 0.3 for the downtime caused by abnormal operating parameters, 0.2 for the cost of adjusting operating parameters, and 0.1 for the number of times abnormal operating parameters are reproduced. The baseline value for the impact of standard operating parameters = duration of abnormal operating parameters × 0.4 + downtime caused by abnormal operating parameters × 0.3 + cost of adjusting operating parameters × 0.2 + number of times abnormal operating parameters are reproduced × 0.

1.

6. The method for assessing the insulation aging condition of high-voltage equipment according to claim 4, characterized in that, The specific calculation process for the benchmark value of the influence degree of the standard environmental parameters is as follows: Extract the duration of abnormal environmental parameters, the downtime caused by the abnormal environmental parameters, the cost of environmental parameter control, and the number of times the abnormal environmental parameters recur when the insulation aging type to be evaluated occurs from historical insulation aging records. Assign weights of 0.4 for the duration of abnormal environmental parameters, 0.3 for the downtime caused by the abnormal environmental parameters, 0.2 for the cost of environmental parameter control, and 0.1 for the number of times the abnormal environmental parameters recur. The baseline value for the impact of standard environmental parameters = duration of abnormal environmental parameters × 0.4 + downtime caused by abnormal environmental parameters × 0.3 + cost of environmental parameter control × 0.2 + number of times abnormal environmental parameters are reproduced × 0.

1.

7. The method for assessing the insulation aging status of high-voltage equipment according to claim 4, characterized in that, The specific process for comprehensively assessing the insulation aging degree of high-voltage equipment is as follows: Weight coefficients were assigned to the comprehensive similarity of image features, the baseline value of the influence of standard operating parameters, and the baseline value of the influence of standard environmental parameters, respectively. The weight of the comprehensive similarity of image features was 0.6, the weight of the baseline value of the influence of standard operating parameters was 0.3, and the weight of the baseline value of the influence of standard environmental parameters was 0.

1. The degree of insulation aging of high-voltage equipment = (1 - comprehensive similarity of image features) × 0.6 + standard operating parameter influence benchmark value × 0.3 + standard environmental parameter influence benchmark value × 0.

1.

8. The method for assessing the insulation aging status of high-voltage equipment according to claim 1, characterized in that, The specific process for classifying the insulation aging level of the high-voltage equipment to be evaluated is as follows: Based on the insulation aging level, the insulation aging level is classified into three types: mild insulation aging level, moderate insulation aging level, and severe insulation aging level. The insulation aging degree range corresponding to the mild insulation aging level, moderate insulation aging level, and severe insulation aging level is extracted from the standard high-voltage equipment sample library. The insulation aging level corresponding to the calculated range of insulation aging degree is used as the insulation aging level of the high-voltage equipment to be evaluated.

9. The method for assessing the insulation aging status of high-voltage equipment according to claim 1, characterized in that, The specific process for triggering the corresponding level of early warning mechanism is as follows: (1) When it is determined to be mild insulation aging, a routine early warning is triggered, the equipment status prompt information is pushed to the operation and maintenance terminal, and regular inspection and routine status monitoring are performed according to the preset cycle; (2) When the insulation is determined to be moderately aged, an enhanced early warning is triggered, an abnormal equipment status reminder is pushed, the monitoring cycle is shortened and the inspection frequency is increased, and the equipment operating parameters and insulation status are tracked and monitored in a key manner. (3) When it is determined to be severe insulation aging, an emergency warning is triggered, a serious equipment fault alarm is pushed, and the key hidden danger investigation and emergency response process is initiated.

10. A high-voltage equipment insulation aging condition assessment system performed using the high-voltage equipment insulation aging condition assessment method according to any one of claims 1-9, characterized in that, include: Data acquisition module: used to extract raw image data of various high-voltage equipment samples under normal insulation conditions, different insulation aging types and different aging degrees from historical insulation aging records, build a standard high-voltage equipment sample library, preprocess the raw image data to obtain standard high-voltage equipment sample image features; Insulation aging type identification module: used to collect image features of the high-voltage equipment to be evaluated, compare the image features of the high-voltage equipment to be evaluated with the image features of standard high-voltage equipment samples, calculate the comprehensive similarity between the image features of the high-voltage equipment to be evaluated and the image features of the standard high-voltage equipment samples, distinguish whether the insulation state of the high-voltage equipment to be evaluated is normal insulation state or insulation aging state, and identify the insulation aging type of the high-voltage equipment to be evaluated. The parameter impact analysis module is used to extract the operating parameters and environmental parameters of high-voltage equipment from historical insulation aging records, analyze the impact of the operating parameters and environmental parameters on the type of insulation aging to be evaluated, and calculate the benchmark values ​​of the impact of standard operating parameters and standard environmental parameters. Insulation Aging Comprehensive Assessment Module: Based on the comprehensive similarity of image features, the benchmark values ​​of the influence of standard operating parameters and the benchmark values ​​of the influence of standard environmental parameters, the insulation aging degree of high-voltage equipment is comprehensively assessed. Aging level classification and early warning module: used to classify the insulation aging level of high-voltage equipment and trigger the early warning mechanism for the corresponding insulation aging level.

Images