A leakage current alarm level detection method, device, equipment and storage medium

Abstract

The application provides a leakage current alarm level detection method and device, equipment and storage medium, relates to the technical field of leakage current alarm. The method samples the leakage current signal of the target insulator string in real time, determines the leakage current effective value of each sampling time in the preset sampling window; based on the effective value and the static threshold group at the current time, the static determination score and the static determination result are determined; based on the leakage current change trend characteristics in the window, the trend characteristics and the dynamic threshold group are determined; the dynamic and static determination scores are weighted and fused to obtain a comprehensive score; based on the three, the final alarm level is determined. Through the multi-dimensional mechanism of static numerical judgment, dynamic trend prediction and comprehensive score combination, the rapid response to instantaneous excessive large current and the advanced perception of slow deterioration trend are realized, and the accuracy and reliability of the leakage current alarm are improved.

Description

Technical Field

[0001] This application relates to the field of leakage current alarm technology, and in particular to a method, apparatus, equipment and storage medium for detecting leakage current alarm level. Background Technology

[0002] Porcelain insulator strings are widely used for the support and insulation of high-voltage electrical equipment such as overhead transmission lines and substation busbars. During long-term operation, dirt accumulates on the insulator surface, and in humid weather, moisture forms a conductive film, leading to a decrease in insulation level and the generation of leakage current. The magnitude of the leakage current directly reflects the degree of dirt and moisture on the insulator surface and is an important characteristic for assessing the operational health of the insulator.

[0003] In related technologies, online monitoring of insulator leakage current typically employs a fixed threshold alarm method. This involves pre-setting a safety limit, and triggering an alarm when the measured effective leakage current exceeds this threshold. However, this fixed threshold-based leakage current detection method is ill-suited to changes in external factors such as humidity and temperature, easily leading to false alarms. Furthermore, this method struggles to handle slowly increasing leakage current, often failing to provide early warning when the current value is still close to the threshold. By the time the leakage current exceeds the threshold, the insulator may already be severely contaminated, leaving insufficient time for maintenance personnel to address the issue. Additionally, this method cannot distinguish between instantaneous inrush current and continuous degradation current, also contributing to false alarms. Summary of the Invention

[0004] The main purpose of this application is to provide a method, apparatus, device and storage medium for detecting leakage current alarm levels, aiming to solve the technical problem of how to improve the accuracy of leakage current alarms.

[0005] To achieve the above objectives, this application provides a method for detecting leakage current alarm levels. The steps of the leakage current alarm level detection method include: The leakage current signal of the target insulator string is sampled in real time to determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window; Based on the target leakage current RMS value and the static judgment threshold group at the current sampling time, determine the corresponding static judgment score and static judgment result; Based on the effective values ​​of each leakage current, the leakage current variation trend characteristics within the preset sampling window are determined. Based on the leakage current change trend characteristics and dynamic judgment threshold groups, the corresponding dynamic judgment score and dynamic judgment result are determined. The dynamic and static assessment scores are weighted and integrated to determine the comprehensive score; Based on the dynamic judgment results, static judgment results, and comprehensive score, the final alarm level of the leakage current signal at the current sampling time is determined.

[0006] Optionally, the static judgment threshold group includes a static high threshold and a static low threshold. Based on the target leakage current RMS value at the current sampling time and the static judgment threshold group, the steps to determine the corresponding static judgment score and static judgment result include: Based on the static high threshold and the static low threshold, determine the static judgment result corresponding to the effective value of the target leakage current; The effective value of the target leakage current is input into the first preset scoring function to determine the static judgment score. The first preset scoring function is a segmented function constructed based on the static high threshold and the static low threshold for each segment interval.

[0007] Optionally, the step of determining the static judgment result corresponding to the effective value of the target leakage current based on the static high threshold and the static low threshold includes: When the effective value of the target leakage current is lower than the static low threshold, the static judgment result is determined to be normal. When the effective value of the target leakage current is not lower than the static high threshold, the static judgment result is determined to be alarm level; When the effective value of the target leakage current is not lower than the static low threshold and is lower than the static high threshold, the static judgment result is determined to be at the attention level.

[0008] Optionally, the leakage current variation trend characteristics include the average rate of change, the slope of the linear fitting, the cumulative change, and the duration of rise. The step of determining the leakage current variation trend characteristics within a preset sampling window based on each effective value of the leakage current includes: The average rate of change is determined based on the target leakage current effective value at the current sampling time and the leakage current effective value before the preset time interval. The preset time interval is the window width of the preset sampling window. Based on each sampling time, the effective value of each leakage current is linearly fitted to obtain the linear fitting slope; The minimum and maximum effective values ​​of each leakage current are selected, and the cumulative change is determined based on the minimum and maximum effective values. Backtracking is performed based on the current sampling time to find the initial sampling time corresponding to the time sequence in which the effective value of each leakage current maintains an upward trend. The continuous rise time is determined based on the initial sampling time and the current sampling time.

[0009] Optionally, the dynamic judgment threshold group includes a rate alarm threshold, a rate attention threshold, a slope baseline value, a cumulative change threshold, and a rise time threshold. Based on the leakage current change trend characteristics and the dynamic judgment threshold group, the steps for determining the corresponding dynamic judgment score and dynamic judgment result include: The average rate of change is compared with the rate alarm threshold and the rate attention threshold, the cumulative change is compared with the cumulative change threshold, and the continuous rise time is compared with the rise time threshold. The dynamic judgment result is determined based on the above four comparison results. The average rate of change, the slope of the linear fitting, and the cumulative change are input into the second preset scoring function to determine the dynamic judgment score. The second preset scoring function is a bounded function constructed based on the rate alarm threshold, the slope benchmark value, and the cumulative change threshold.

[0010] Optionally, the steps of comparing the average rate of change with the rate alarm threshold and the rate attention threshold, comparing the cumulative change with the cumulative change threshold, and comparing the sustained rise time with the rise time threshold, and determining the dynamic judgment result based on the above four comparison results include: When the average rate of change is not less than the rate alarm threshold and the cumulative change is not less than the cumulative change threshold, the dynamic judgment result is determined to be an alarm level. Otherwise, if the average rate of change is not less than the rate attention threshold, the dynamic judgment result is determined to be attention level; Otherwise, if the continuous rise time is not less than the continuous rise time threshold and the effective value of the target leakage current at the current sampling time is not less than the static low threshold of the static judgment threshold group, the dynamic judgment result is determined to be a warning level. Otherwise, the dynamic judgment result is determined to be at the normal level.

[0011] Optionally, after determining the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment results, static judgment results, and comprehensive score, the method further includes: When the final alarm level is not normal, an alarm message is generated based on the final alarm level and sent to the operation and maintenance platform.

[0012] Furthermore, to achieve the above objectives, this application also provides a leakage current alarm level detection device, which includes: The current acquisition module is used to sample the leakage current signal of the target insulator string in real time and determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window. The static evaluation module is used to determine the corresponding static judgment score and static judgment result based on the target leakage current RMS value and static judgment threshold group at the current sampling time. The dynamic analysis module is used to determine the leakage current change trend characteristics within a preset sampling window based on the effective value of each leakage current. The dynamic evaluation module is used to determine the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and dynamic judgment threshold group; The comprehensive scoring module is used to weight and fuse dynamic and static judgment scores to determine the comprehensive score; The alarm level output module is used to determine the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment results, static judgment results, and comprehensive score.

[0013] In addition, to achieve the above objectives, this application also provides a leakage current alarm level detection device, which includes: a memory, a processor, and a leakage current alarm level detection program stored in the memory and executable on the processor. The leakage current alarm level detection program is configured to implement the steps of the leakage current alarm level detection method as described above.

[0014] In addition, to achieve the above objectives, this application also provides a storage medium, which is a computer-readable storage medium, storing a leakage current alarm level detection program. When the leakage current alarm level detection program is executed by a processor, it implements the steps of the leakage current alarm level detection method as described above.

[0015] This application provides a method, apparatus, device, and storage medium for detecting leakage current alarm levels. The steps of the leakage current alarm level detection method include: real-time sampling of the leakage current signal of a target insulator string to determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window; determining the corresponding static judgment score and static judgment result based on the effective value of the target leakage current at the current sampling time and a static judgment threshold group; determining the leakage current change trend characteristics within the preset sampling window based on each effective value of the leakage current; determining the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and a dynamic judgment threshold group; weighted fusion of the dynamic judgment score and the static judgment score to determine a comprehensive score; and determining the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score. Through a multi-dimensional mechanism combining static numerical judgment, dynamic trend prediction, and comprehensive scoring, a rapid response to instantaneous excessive current and an advanced perception of slow degradation trends are achieved, improving the accuracy and reliability of leakage current alarms. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the first embodiment of the leakage current alarm level detection method of this application. Figure 2 This is a flowchart illustrating the second embodiment of the leakage current alarm level detection method of this application. Figure 3 This is a flowchart illustrating the third embodiment of the leakage current alarm level detection method of this application. Figure 4 This is a flowchart illustrating the fourth embodiment of the leakage current alarm level detection method of this application. Figure 5 This is a schematic diagram of the module structure provided in Embodiment 1 of the leakage current alarm level detection device of this application; Figure 6 This is a structural schematic diagram of the leakage current alarm level detection device provided in Embodiment 1 of this application.

[0019] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0021] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0022] This application proposes a leakage current alarm level detection method according to the first embodiment. Please refer to [link / reference]. Figure 1 as well as Figure 2 The leakage current alarm level detection method includes steps S10-S60: Step S10: Real-time sampling of the leakage current signal of the target insulator string to determine the effective value of the leakage current corresponding to multiple consecutive sampling times within the preset sampling window. It should be understood that, in this embodiment, the executing entity can be a computer device, server or other electronic device with data processing capabilities, such as the leakage current alarm level detection device or equipment mentioned below.

[0023] It should be noted that, in this embodiment, the insulator string refers to a porcelain or composite insulator string used in a power system to support and insulate high-voltage electrical equipment, and the target insulator string is the insulator string to be tested. The leakage current signal refers to the weak current signal flowing through the grounding side of the insulator string when a conductive path is formed on its surface due to dirt and moisture. Sampling this signal yields the instantaneous leakage current value at the corresponding sampling time. The preset sampling window refers to a fixed-width sliding time length used to limit the time range for analyzing leakage current data. The effective value of the leakage current refers to the value obtained by calculating the root mean square of the continuously sampled instantaneous leakage current values ​​within a specific time interval. It represents the equivalent thermal effect of the leakage current during that period and is a core quantitative indicator for assessing the insulation condition.

[0024] As is readily understood, in this embodiment, each insulator string is equipped with a current sensor on its grounding side. Within a preset time window with the current moment as its right boundary, the current sensor can continuously collect the raw leakage current signal of the target insulator string's grounding side, obtaining the instantaneous current value corresponding to each sampling moment within that preset time window. Subsequently, these instantaneous current values ​​undergo signal processing such as filtering and amplification to obtain the effective leakage current value corresponding to each sampling moment. These effective leakage current values ​​can be stored in a buffer, forming an effective leakage current sequence within the preset sampling window, providing an accurate data basis for subsequent alarm determination.

[0025] Step S20: Based on the target leakage current RMS value and the static judgment threshold group at the current sampling time, determine the corresponding static judgment score and static judgment result; It should be noted that, in this embodiment, the static judgment threshold group is a pre-set set of thresholds used for direct comparison with the current static effective value of leakage current. The static judgment result is a discrete level derived from comparing the current effective value of leakage current with each threshold in the static judgment threshold group, used to characterize the severity of the current insulation condition. The static judgment score, on the other hand, is a quantitative value used to quantify the specific position of the current effective value of leakage current within the normal to alarm range, or can be understood as characterizing the degree of insulator string degradation corresponding to the current effective value of leakage current, providing input for subsequent fusion scoring.

[0026] It is easy to understand that the target leakage current effective value refers to the leakage current effective value at the current moment. In this embodiment, after obtaining the target leakage current effective value at the current moment, it can be compared with each threshold in the static judgment threshold group to obtain a discrete static judgment result, which can quickly reflect whether the current leakage current has exceeded the standard. At the same time, in order to more precisely characterize the degree of risk, the leakage current effective value can also be input into a scoring function pre-constructed based on some or all of the thresholds in the static judgment threshold group to obtain a continuous static judgment score.

[0027] Step S30: Based on the effective values ​​of each leakage current, determine the leakage current change trend characteristics within the preset sampling window; It should be noted that, in this embodiment, the leakage current change trend feature is a set of feature values ​​used to quantitatively describe the change law of leakage current with time within a preset sampling window. These features may include the average rate of change, the slope of the linear fitting, the cumulative change, and the continuous rise time, etc. These features can reflect the dynamic behavior and change trend of leakage current.

[0028] As is readily understood, in this embodiment, all valid leakage current values ​​within a preset sampling window can be extracted from the buffer to form a time-sequential sequence of valid leakage currents. Based on this sequence, the changing trend of leakage current within the preset sampling window can be calculated, facilitating the subsequent characterization of the dynamic behavior of leakage current from different perspectives and providing comprehensive data support for determining whether it is a temporary fluctuation or continuous degradation.

[0029] Step S40: Based on the leakage current change trend characteristics and the dynamic judgment threshold group, determine the corresponding dynamic judgment score and dynamic judgment result. It should be noted that, in this embodiment, the dynamic judgment threshold group is a set of thresholds specifically used for comparison with the aforementioned trend characteristics. Its focus is on the process of change rather than the current fixed effective value of the leakage current. The dynamic judgment result is a discrete level derived from comparing the trend characteristics with the dynamic thresholds, used to characterize the severity of the current trend. The dynamic judgment score is a continuous score obtained by comprehensively quantifying these trend characteristics.

[0030] It is easy to understand that, in this embodiment, the calculated leakage current trend characteristics can be compared with their respective thresholds in the dynamic judgment threshold group to obtain a discrete dynamic judgment result, determining whether the current leakage current upward trend has reached a certain level. Alternatively, some or all leakage current trend characteristics can be input into a scoring function pre-constructed based on some or all thresholds in the dynamic judgment threshold group to obtain a bounded dynamic judgment score that reflects the overall dynamic change.

[0031] Step S50: The dynamic judgment score and the static judgment score are weighted and fused to determine the comprehensive score; It should be noted that in this embodiment, the comprehensive score is a final quantitative indicator that combines the static score representing the current state and the dynamic score representing the trend of change through a weighted fusion method.

[0032] It is easy to understand that in this embodiment, after obtaining the static and dynamic judgment scores, the two scores can be weighted and fused according to preset static and dynamic weights to obtain a comprehensive score that reflects both the static value and dynamic trend of the current. If the current effective value of the leakage current is high but tends to stabilize, the static score is high, the dynamic score is low, and the comprehensive score tends to be at a medium level; if the current leakage current value is still within an acceptable range but is rising rapidly, the static score is medium, the dynamic score is high, and the comprehensive score will increase. Based on this scoring fusion method, the final comprehensive score can more comprehensively and evenly assess the risk status of the insulator string, avoiding the one-sidedness of a single-dimensional judgment.

[0033] In practice, the comprehensive score is calculated as follows: ; in, For comprehensive scoring, the value range can be set to 0~100, rounded to one decimal place; This is a static scoring method. For dynamic scoring; For static weights, The weights are dynamic, and their sum is 1.

[0034] Step S60: Based on the dynamic judgment results, static judgment results, and comprehensive score, determine the final alarm level of the leakage current signal at the current sampling time.

[0035] It should be noted that in this embodiment, the final alarm level is a discrete alarm level that is finally output after considering three dimensions: discrete static judgment results, discrete dynamic judgment results, and continuous comprehensive score. It is the final decision output of the entire alarm logic and can be divided into four levels: normal level, attention level, warning level, and alarm level.

[0036] It is easy to understand that in this embodiment, the static judgment result, dynamic judgment result, or comprehensive score is not simply used as the basis for determining the final alarm level. Instead, a comprehensive decision-making logic with clear priorities is adopted, simultaneously evaluating the three inputs: static level, dynamic level, and comprehensive score. Specifically, the decision-making principle can be designed as follows: if any single dimension of the dynamic judgment result, static judgment result, or comprehensive score reaches the highest risk level, the final alarm will be triggered, i.e., it will be judged as an alarm level, and an alarm signal will be output. When there is no alarm signal, if any dimension of the static judgment result or dynamic judgment result indicates the existence of risk, or if the comprehensive score reaches the threshold corresponding to the existence of risk, it will be judged as an intermediate warning level or attention level. Only when both the static judgment result and dynamic judgment result are judged as normal, and the comprehensive score is lower than the boundary threshold representing normal and the existence of risk, will it be judged as a normal level. Based on the above decision-making method, the system's high sensitivity and low false negative rate can be guaranteed, while information overload is avoided through tiered output.

[0037] In practice, static judgment results can be divided into alarm level, attention level, and normal level; dynamic judgment results can be divided into alarm level, warning level, attention level, and normal level; and the range of the comprehensive score can include, for example, the normal level range corresponding to 0~30 points, the attention level range corresponding to 30~60 points, the warning level range corresponding to 60~85 points, and the alarm level range corresponding to 85~100 points (30, 60, and 85 are three pre-set judgment thresholds used for level differentiation). In this scenario, if the static judgment result is alarm level, the dynamic judgment result is alarm level, or the comprehensive score is within the alarm level range, the final alarm level is determined to be alarm level. If none of the above conditions are met, the next priority judgment is entered. If the static judgment result is alert level, the dynamic judgment result is warning level, or the comprehensive score is within the warning level range, the final alarm level is determined to be warning level. If the above conditions are still not met, further judgment is made. If the dynamic judgment result is alert level or the comprehensive score is at alert level, the final alarm level is determined to be alert level. If all conditions are not met, the final alarm level is determined to be normal level.

[0038] This application provides a leakage current alarm level detection method. The method samples the leakage current signal of the target insulator string in real time to determine the effective value of the leakage current at each sampling moment within a preset sampling window. Based on the effective value at the current moment and a static threshold group, a static judgment score and static judgment result are determined. The leakage current change trend characteristics within the window are determined based on each effective value. Based on the trend characteristics and a dynamic threshold group, a dynamic judgment score and dynamic judgment result are determined. The dynamic and static judgment scores are weighted and fused to obtain a comprehensive score. The final alarm level is determined based on these three factors. Through a multi-dimensional mechanism combining static numerical judgment, dynamic trend prediction, and comprehensive scoring, this method achieves rapid response to instantaneous excessive currents and proactive perception of slow degradation trends, improving the accuracy and reliability of leakage current alarms.

[0039] Based on the first embodiment of the leakage current alarm level detection method of this application, in the second embodiment of the leakage current alarm level detection method of this application, the content that is the same as or similar to the first embodiment of the leakage current alarm level detection method described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 In this embodiment, the static judgment threshold group includes a static high threshold and a static low threshold. The steps for determining the corresponding static judgment score and static judgment result based on the target leakage current RMS value at the current sampling time and the static judgment threshold group include: Step S21: Based on the static high threshold and the static low threshold, determine the static judgment result corresponding to the effective value of the target leakage current; It should be noted that in this embodiment, the static high threshold and the static low threshold are two specific current values ​​used to define different risk areas. The static high threshold is considered high, and the static low threshold is considered low. The static judgment result refers to the discrete level obtained by comparing the current effective value of leakage current with the static high threshold and the static low threshold, which is used to characterize the severity of the current insulation condition.

[0040] It is easy to understand that in this embodiment, the effective value of the target leakage current at the current moment is compared with the static high threshold and the static low threshold, and the corresponding discrete level is output according to the comparison result, that is, the corresponding static judgment result.

[0041] It is worth noting that the above judgment logic is linear and stateless, meaning that each judgment depends only on the current effective value of the target leakage current and is unrelated to historical data. Based on the above hierarchical comparison method, it can respond instantly to any instantaneous leakage current exceeding the standard, ensuring the system's ability to detect sudden insulation degradation or flashover precursors.

[0042] Step S22: Input the effective value of the target leakage current into the first preset scoring function to determine the static judgment score. The first preset scoring function is a segmented function constructed based on the static high threshold and the static low threshold for each segment interval.

[0043] It should be noted that, in this embodiment, the first preset scoring function is a pre-set piecewise function related to the static high threshold and the static low threshold. Its input is the target effective value of leakage current, and its output is a continuous score value, which is the aforementioned static judgment score. Through the piecewise design, different scoring weights can be assigned to the effective values ​​of leakage current in different segment intervals.

[0044] It is easy to understand that in this embodiment, the information granularity of simple hierarchical judgment (such as normal level, attention level, alarm level) is too coarse and cannot reflect the subtle differences within the same level. To address the above problem, in addition to obtaining discrete static judgment results, the current target leakage current effective value can also be input into a first preset scoring function to obtain a continuous static judgment score.

[0045] In practice, the first preset scoring function can be expressed as: ; in, This represents the first preset scoring function, whose value range can be set to 0~100, rounded to one decimal place; This is the effective value of the leakage current; Indicates a static low threshold. Indicates a static high threshold; This is the shape factor, with a default value of 0.05.

[0046] Furthermore, in this embodiment, the step of determining the static judgment result corresponding to the effective value of the target leakage current based on the static high threshold and the static low threshold includes: Step S211: When the effective value of the target leakage current is lower than the static low threshold, the static judgment result is determined to be normal. Step S212: When the effective value of the target leakage current is not lower than the static high threshold, the static judgment result is determined to be alarm level. Step S213: When the effective value of the target leakage current is not lower than the static low threshold and is lower than the static high threshold, the static determination result is determined to be at the attention level.

[0047] It should be noted that, in this embodiment, for the static judgment result, the normal level means that the current target leakage current effective value is within the safe operating range, and the degree of contamination or moisture on the surface of the insulator string has not yet reached the level that requires attention. At this time, no alarm is triggered. The alarm level means that the current target leakage current effective value has exceeded the preset safety limit, indicating that the surface of the insulator string is severely contaminated or extremely damp, and there is a significant risk of flashover, requiring immediate action. The attention level means that the current target leakage current effective value is between the static low threshold and the static high threshold, indicating that the degree of contamination or moisture on the surface of the insulator string has exceeded the normal range, but has not yet reached the level of an emergency alarm, and requires the attention of maintenance personnel.

[0048] It is easy to understand that, in this embodiment, when the effective value of the target leakage current is determined to be lower than the static low threshold, the effective value of the target leakage current is the typical leakage current level when the insulator string is in a clean or slightly polluted state, indicating that the current insulation condition is good and can be judged as normal, requiring no intervention. When the effective value of the target leakage current is determined to be higher than the static high threshold, it is considered that the current effective value of the leakage current has reached or exceeded the preset alarm high limit, indicating that the insulation condition of the insulator string is in a dangerous state, and can be directly judged as alarm level, and an alarm signal is immediately output to notify the maintenance personnel for emergency handling. When the effective value of the target leakage current is higher than or equal to the static low threshold but lower than the static high threshold, it is considered that the current effective value of the target leakage current needs to prompt the maintenance personnel that the insulation performance of the insulator string has deteriorated to a certain extent, and can be judged as attention level, prompting the strengthening of monitoring or arranging inspections.

[0049] Based on the first and / or second embodiments of the leakage current alarm level detection method of this application, in the third embodiment of the leakage current alarm level detection method of this application, the content that is the same as or similar to the first and / or second embodiments of the leakage current alarm level detection method described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 3 In this embodiment, the leakage current change trend characteristics include the average rate of change, the slope of the linear fitting, the cumulative change, and the duration of rise. The step of determining the leakage current change trend characteristics within a preset sampling window based on each effective value of the leakage current includes: Step S31: Based on the target leakage current effective value at the current sampling time and the leakage current effective value before the preset time interval, determine the average rate of change. The preset time interval is the window width of the preset sampling window. It should be noted that, in this embodiment, the average rate of change is used to measure how fast the leakage current changes on average within a preset time interval; the preset time interval is the window width of the preset sampling window, or a specific time length designed to be less than the window width.

[0050] It is easy to understand that, in this embodiment, the average rate of change can be obtained by calculating the difference between the effective value of the target leakage current at the current moment and the effective value of the leakage current before a preset time interval, and then dividing it by the preset time interval. The calculated average rate of change can reflect the overall trend of change over a large time scale, effectively filter out short-term noise, and depict a stable, macroscopic direction of change, which is very effective for identifying continuous, slow degradation processes.

[0051] In practice, the formula for calculating the average rate of change is as follows: ; in, This represents the average rate of change, in μA / min. For the current moment The target effective value of leakage current; This is a preset time interval; Indicates the current time preset time interval The previous effective value of leakage current.

[0052] Step S32: Based on each sampling time, perform linear fitting on each effective value of leakage current to obtain the linear fitting slope; It should be noted that, in this embodiment, the linear fitting slope is the slope obtained after performing linear regression analysis on all valid data points within the preset sampling window, and it represents the dominant trend of leakage current change within the preset sampling window.

[0053] It is easy to understand that, in this embodiment, unlike the average rate of change calculated using only the first and last points mentioned above, the linear fitting slope utilizes all data points of the effective leakage current values ​​within the preset sampling window. Using algorithms such as the least squares method, the linear fitting slope that best represents the overall trend of these data points can be calculated. The linear fitting slope obtained in this way is less affected by individual outlier data points and more robustly reflects the overall trend of leakage current changes within the preset sampling window, serving as an important basis for determining whether the leakage current is continuously rising, falling, or remaining stable.

[0054] In practice, the expression for calculating the slope of the linear fit is as follows: ; in, Indicates the slope of the linear fit; This indicates the number of valid leakage current values ​​extracted from the buffer. Let i be the time sequence number of the i-th sampling time. This is the average of all time numbers; This represents the effective value of the leakage current at the i-th sampling time. This is the average of the effective values ​​of each leakage current.

[0055] Step S33: Filter out the minimum and maximum effective values ​​of each leakage current effective value, and determine the cumulative change based on the minimum and maximum effective values; It should be noted that, in this embodiment, the cumulative change refers to the difference between the maximum and minimum values ​​of the effective value of the leakage current within the preset sampling window, which is used to measure the overall fluctuation range of the leakage current during that period.

[0056] It is easy to understand that in this embodiment, within a preset sampling window, the minimum and maximum effective values ​​of all leakage currents can be found through a simple comparison operation, and the difference between them can be calculated. This difference reflects the severity of leakage current fluctuations within the preset sampling window. For a large cumulative change, even if the average rate of change of the leakage current is not high, it may indicate that the system is experiencing an unstable state or is subject to some kind of disturbance, which is an important auxiliary information for risk assessment.

[0057] In practice, the formula for calculating the cumulative change is as follows: ; in, Indicates the cumulative change; Indicates the maximum effective value; This represents the minimum effective value.

[0058] Step S34: Backtracking is performed based on the current sampling time to find the initial sampling time corresponding to the time sequence in which the effective value of each leakage current maintains an upward trend. The continuous rise time is determined based on the initial sampling time and the current sampling time.

[0059] It should be noted that, in this embodiment, the continuous rise time refers to the total time during which the sequence of effective leakage current values ​​remains continuously rising (i.e., the next effective leakage current value is greater than the previous effective leakage current value) from the current moment backward.

[0060] As is easily understood, in this embodiment, starting from the current effective value of the leakage current, adjacent effective values ​​of the leakage current are compared sequentially backward. If the previous effective value of the leakage current is less than the next effective value, the process continues backward, accumulating time. When a downward trend first appears, the backtracking stops, and the accumulated time at this point is the sustained rise time. The sustained rise time effectively identifies some degradation processes with slow but sustained and stable increases over a long period, making it one of the key features for achieving early warning.

[0061] Furthermore, the dynamic judgment threshold group includes a rate alarm threshold, a rate attention threshold, a slope baseline value, a cumulative change threshold, and a rise time threshold. Based on the leakage current change trend characteristics and the dynamic judgment threshold group, the steps to determine the corresponding dynamic judgment score and dynamic judgment result include: Step S41: Compare the average rate of change with the rate alarm threshold and the rate attention threshold, compare the cumulative change with the cumulative change threshold, compare the continuous rise time with the rise time threshold, and determine the dynamic judgment result based on the above four comparison results. It should be noted that, in this embodiment, the dynamic determination threshold group is a series of preset values ​​specifically used for comparison with trend characteristics, including a rate alarm threshold for determining whether the average rate of change has reached the alarm level, a rate attention threshold for determining whether the average rate of change has reached the attention level, a slope reference value for characterizing the normal slope, a cumulative change threshold for characterizing the accumulation of normal current, and a rise time threshold for determining whether the rise time has reached the warning level.

[0062] As is easily understood, in this embodiment, each leakage current trend feature can be compared with its corresponding dynamic judgment threshold, ultimately outputting a discrete dynamic judgment result to determine the extent of the current upward trend. This multi-dimensional comparison logic effectively avoids misjudgments caused by noise interference from a single trend feature, making the dynamic judgment result more robust and reliable.

[0063] Step S42: Input the average rate of change, the slope of the linear fitting, and the cumulative change into the second preset scoring function to determine the dynamic judgment score. The second preset scoring function is a bounded function constructed based on the rate alarm threshold, the slope benchmark value, and the cumulative change threshold.

[0064] It should be noted that, in this embodiment, the second preset scoring function is a mathematical model pre-constructed based on a portion of the dynamic judgment thresholds. Its inputs include the average rate of change, the linear fitting slope, and the cumulative change, and its output is a dynamic judgment score within a fixed interval. Specifically, the second preset scoring function can be constructed based on the rate alarm threshold, the slope baseline value, and the cumulative change threshold.

[0065] It is easy to understand that, in this embodiment, unlike the discrete levels provided by the dynamic judgment result, the dynamic judgment score provides a continuous quantitative index. The three core trend features—average rate of change, linear fitting slope, and cumulative change—are substituted into the second preset scoring function. Different weights are assigned to different trend features, and each feature value is normalized or limited to ensure that the final output falls within a bounded range. Thus, the obtained dynamic judgment score can comprehensively reflect the overall intensity and severity of the dynamic changes in leakage current. The higher the value, the more dangerous the dynamic trend, providing a quantitative basis for weighted fusion with the static dimension.

[0066] In practice, the second preset scoring function can be expressed as: ; in, This represents the second preset scoring function, whose value range can be set to 0~100, rounded to one decimal place; Indicates the average rate of change. Indicates the rate alarm threshold; This represents the slope of the linear fit. Indicates the baseline value of the slope; This represents the cumulative change. This represents the threshold for cumulative change.

[0067] Further, in this embodiment, the steps of comparing the average rate of change with the rate alarm threshold and the rate attention threshold, comparing the cumulative change with the cumulative change threshold, and comparing the continuous rise time with the rise time threshold, and determining the dynamic judgment result based on the above four comparison results include: Step S411: When the average rate of change is not less than the rate alarm threshold and the cumulative change amount is not less than the cumulative change amount threshold, the dynamic judgment result is determined to be an alarm level. It should be noted that, in this embodiment, for the dynamic judgment result, the alarm level is the highest risk level in the dynamic judgment, indicating that the leakage current not only rises at an extremely fast rate, but also has a huge cumulative change range, and the insulation condition is deteriorating rapidly, requiring immediate action.

[0068] It is easy to understand that in this embodiment, when the average rate of change reaches the rate alarm threshold and the cumulative change amount reaches the cumulative change amount threshold at the same time, it indicates that the leakage current is rising rapidly and the fluctuation range is also very significant. The surface dirt or moisture of the insulator string is rapidly deteriorating, posing an extremely high risk, and can be directly determined as an alarm level.

[0069] Step S412: Otherwise, if the average rate of change is not less than the rate attention threshold, determine the dynamic judgment result as attention level; It should be noted that, in this embodiment, for the dynamic judgment result, the attention level is the intermediate risk level in the dynamic judgment, indicating that the leakage current rise rate has exceeded the normal range, but has not yet reached the alarm level, and attention is required.

[0070] It is easy to understand that in this embodiment, when the alarm conditions are not met, it is further determined whether the average rate of change has reached the rate attention threshold. If the average rate of change reaches the rate attention threshold, it indicates that the leakage current is in a continuous upward process. Although the current rate of increase has not yet reached the alarm level, it has exceeded the normal fluctuation range, indicating that the insulation condition is deteriorating. This should attract the attention of maintenance personnel and be monitored more closely, and is therefore judged as a level of attention.

[0071] Step S413, otherwise, if the continuous rise time is not less than the continuous rise time threshold and the effective value of the target leakage current at the current sampling time is not less than the static low threshold of the static judgment threshold group, the dynamic judgment result is determined to be a warning level. It should be noted that, in this embodiment, for the dynamic judgment result, the warning level is the level used to provide an early warning in the dynamic judgment, indicating that the leakage current has been on an upward trend for a long time and the current value has exceeded the static low threshold, and there is a risk of slow deterioration.

[0072] It is easy to understand that in this embodiment, when neither the alarm condition nor the attention condition is met, it is further determined whether the continuous rise time has reached the continuous rise time threshold, and whether the current effective value of the leakage current is not lower than the static low threshold. If both conditions are met simultaneously, it indicates that although the leakage current rises slowly, it has been rising steadily for a relatively long time, and the current value has exceeded the normal range, meaning that dirt is slowly but continuously accumulating on the surface of the insulator string. At this time, an early warning level can be determined and output, allowing maintenance personnel to be notified in advance to arrange inspections or maintenance before the leakage current reaches the alarm threshold, thus allowing sufficient time for handling.

[0073] Step S414: Otherwise, determine the dynamic judgment result as normal level.

[0074] It should be noted that, in this embodiment, for the dynamic judgment result, the normal level is the lowest risk level in the dynamic judgment, indicating that the leakage current does not show a significant upward trend or fluctuation range, and the current state is stable.

[0075] It is easy to understand that in this embodiment, when all the above conditions are not met, it means that the leakage current has neither risen rapidly and fluctuated significantly, nor exceeded the normal fluctuation range, nor has it continued to rise for a long time. It is currently in a relatively stable operating state and no intervention or reminder is required. It can be judged as normal.

[0076] Based on all embodiments of the leakage current alarm level detection method of this application, in the fourth embodiment of the leakage current alarm level detection method of this application, the content that is the same as or similar to the embodiments of the leakage current alarm level detection method described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 4 In this embodiment, after determining the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score, the method further includes: Step S70: When the final alarm level is not normal, generate an alarm message based on the final alarm level and send it to the operation and maintenance platform.

[0077] It should be noted that, in this embodiment, the alarm message is a structured data packet, the content of which includes key status information and diagnostic basis when the alarm is triggered. The operation and maintenance platform refers to the backend management system located in the power system control center or remote monitoring station, used to receive, process, and display alarm information from front-end monitoring equipment.

[0078] It is easy to understand that in this embodiment, when the final alarm level is determined to be not normal, it indicates that there is a potential or already existing risk to the insulator string. At this time, a preset message format can be used to immediately assemble key information such as the current device identifier, timestamp, effective leakage current value, rate of change, comprehensive score, final alarm level, and the main dimension identifier that triggered the alarm into an alarm message. Subsequently, this message is sent to the remote maintenance platform via a wired or wireless communication interface. This allows maintenance personnel to receive alarm notifications containing detailed diagnostic information instantly, enabling them to quickly locate problems, assess risks, and arrange corresponding handling measures, achieving a complete closed loop from data collection and intelligent analysis to decision support.

[0079] This application also provides a leakage current alarm level detection device, such as... Figure 5 As shown, the leakage current alarm level detection device includes: The current acquisition module 10 is used to sample the leakage current signal of the target insulator string in real time and determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window. The static evaluation module 20 is used to determine the corresponding static judgment score and static judgment result based on the target leakage current effective value and static judgment threshold group at the current sampling time. The dynamic analysis module 30 is used to determine the leakage current change trend characteristics within a preset sampling window based on the effective values ​​of each leakage current. The dynamic evaluation module 40 is used to determine the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and dynamic judgment threshold group; The comprehensive scoring module 50 is used to weight and fuse dynamic and static judgment scores to determine the comprehensive score; The alarm level output module 60 is used to determine the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score.

[0080] The leakage current alarm level detection device provided in this application, employing the leakage current alarm level detection method in the above embodiments, can solve the technical problem of how to improve the accuracy of leakage current alarms. Compared with the prior art, the beneficial effects of the leakage current alarm level detection device provided in this application are the same as those of the leakage current alarm level detection method provided in the above embodiments, and other technical features in the leakage current alarm level detection device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0081] This application also provides a leakage current alarm level detection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the leakage current alarm level detection method in the first embodiment described above.

[0082] The following is for reference. Figure 6 The diagram illustrates a structural schematic suitable for implementing a leakage current alarm level detection device according to embodiments of this application. The leakage current alarm level detection device in these embodiments may include, but is not limited to, fixed terminals such as vehicle-mounted terminals. Figure 6 The leakage current alarm level detection device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0083] like Figure 6As shown, the leakage current alarm level detection device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 1002 or a program loaded from storage device 1003 into random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the leakage current alarm level detection device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following devices can be connected to I / O interface 1006: input devices 1007 including, for example, touch screens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the leakage current alarm level detection device to exchange data with other devices wirelessly or via wired communication. Although a leakage current alarm level detection device with various devices is shown in the figure, it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0084] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0085] The leakage current alarm level detection device provided in this application, employing the leakage current alarm level detection method in the above embodiments, can solve the technical problem of how to improve the accuracy of leakage current alarms. Compared with the prior art, the beneficial effects of the leakage current alarm level detection device provided in this application are the same as those of the leakage current alarm level detection method provided in the above embodiments, and other technical features of this leakage current alarm level detection device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0086] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0087] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0088] This application also provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the leakage current alarm level detection method in the above embodiments.

[0089] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor devices, apparatuses, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution apparatus, device, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination thereof.

[0090] The aforementioned computer-readable storage medium may be included in the leakage current alarm level detection device; or it may exist independently and not be assembled into the leakage current alarm level detection device.

[0091] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the leakage current alarm level detection device, the leakage current alarm level detection device performs the following actions: real-time sampling of the leakage current signal of the target insulator string; determines the effective leakage current value corresponding to multiple consecutive sampling times within a preset sampling window; determines the corresponding static judgment score and static judgment result based on the effective leakage current value of the target at the current sampling time and a static judgment threshold group; determines the leakage current change trend characteristics within the preset sampling window based on each effective leakage current value; determines the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and a dynamic judgment threshold group; weightedly fuses the dynamic judgment score and the static judgment score to determine a comprehensive score; and determines the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score.

[0092] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0093] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using dedicated hardware-based apparatus to perform the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0094] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0095] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described leakage current alarm level detection method, thereby solving the technical problem of how to improve the accuracy of leakage current alarms. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the leakage current alarm level detection method provided in the above embodiments, and will not be repeated here.

[0096] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent scope of this application.

Claims

1. A method for detecting leakage current alarm level, characterized in that, The steps of the leakage current alarm level detection method include: The leakage current signal of the target insulator string is sampled in real time to determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window; Based on the target leakage current RMS value and the static judgment threshold group at the current sampling time, determine the corresponding static judgment score and static judgment result; Based on the effective values ​​of each leakage current, the leakage current variation trend characteristics within the preset sampling window are determined; Based on the leakage current change trend characteristics and the dynamic judgment threshold group, the corresponding dynamic judgment score and dynamic judgment result are determined. The dynamic and static assessment scores are weighted and fused to determine a comprehensive score. Based on the dynamic judgment result, the static judgment result, and the comprehensive score, the final alarm level of the leakage current signal at the current sampling time is determined.

2. The leakage current alarm level detection method as described in claim 1, characterized in that, The static judgment threshold group includes a static high threshold and a static low threshold. The step of determining the corresponding static judgment score and static judgment result based on the target leakage current effective value at the current sampling time and the static judgment threshold group includes: Based on the static high threshold and the static low threshold, the static judgment result corresponding to the effective value of the target leakage current is determined; The effective value of the target leakage current is input into a first preset scoring function to determine the static judgment score. The first preset scoring function is a segmented function constructed for each segment interval based on the static high threshold and the static low threshold.

3. The leakage current alarm level detection method as described in claim 2, characterized in that, The step of determining the static determination result corresponding to the effective value of the target leakage current based on the static high threshold and the static low threshold includes: When the effective value of the target leakage current is lower than the static low threshold, the static determination result is determined to be at the normal level. When the effective value of the target leakage current is not lower than the static high threshold, the static determination result is determined to be an alarm level; When the effective value of the target leakage current is not lower than the static low threshold and is lower than the static high threshold, the static determination result is determined to be at the attention level.

4. The leakage current alarm level detection method as described in claim 1, characterized in that, The leakage current change trend characteristics include the average rate of change, the slope of the linear fitting, the cumulative change, and the duration of rise. The step of determining the leakage current change trend characteristics within the preset sampling window based on each of the effective values ​​of the leakage current includes: The average rate of change is determined based on the effective value of the target leakage current at the current sampling time and the effective value of the leakage current before a preset time interval, wherein the preset time interval is the window width of the preset sampling window. Based on each of the sampling times, the effective values ​​of each of the leakage currents are linearly fitted to obtain the linear fitting slope; The minimum and maximum effective values ​​of each leakage current effective value are selected, and the cumulative change is determined based on the minimum and maximum effective values. Backtracking is performed based on the current sampling time to find the initial sampling time corresponding to the time sequence in which the effective value of each leakage current maintains an upward trend. The continuous rise time is determined based on the initial sampling time and the current sampling time.

5. The leakage current alarm level detection method as described in claim 4, characterized in that, The dynamic judgment threshold group includes a rate alarm threshold, a rate attention threshold, a slope baseline value, a cumulative change threshold, and a rise time threshold. The step of determining the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and the dynamic judgment threshold group includes: The average rate of change is compared with the rate alarm threshold and the rate attention threshold, the cumulative change is compared with the cumulative change threshold, the continuous rise time is compared with the rise time threshold, and the dynamic judgment result is determined based on the above four comparison results. The average rate of change, the linear fitting slope, and the cumulative change are input into a second preset scoring function to determine the dynamic judgment score. The second preset scoring function is a bounded function constructed based on the rate alarm threshold, the slope benchmark value, and the cumulative change threshold.

6. The leakage current alarm level detection method as described in claim 5, characterized in that, The steps of comparing the average rate of change with the rate alarm threshold and the rate attention threshold, comparing the cumulative change with the cumulative change threshold, comparing the sustained rise time with the rise time threshold, and determining the dynamic judgment result based on the above four comparison results include: When the average rate of change is not less than the rate alarm threshold and the cumulative change amount is not less than the cumulative change amount threshold, the dynamic determination result is determined to be an alarm level; Otherwise, when the average rate of change is not less than the rate attention threshold, the dynamic determination result is determined to be at the attention level; Otherwise, when the continuous rise time is not less than the continuous rise time threshold and the effective value of the target leakage current at the current sampling time is not less than the static low threshold of the static judgment threshold group, the dynamic judgment result is determined to be a warning level. Otherwise, the dynamic determination result is determined to be at the normal level.

7. The leakage current alarm level detection method as described in claim 1, characterized in that, After determining the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score, the method further includes: When the final alarm level is not the normal level, an alarm message is generated based on the final alarm level and sent to the operation and maintenance platform.

8. A leakage current alarm level detection device, characterized in that, The leakage current alarm level detection device includes: The current acquisition module is used to sample the leakage current signal of the target insulator string in real time and determine the effective value of the leakage current corresponding to multiple consecutive sampling times within a preset sampling window. The static evaluation module is used to determine the corresponding static judgment score and static judgment result based on the target leakage current RMS value and static judgment threshold group at the current sampling time. The dynamic analysis module is used to determine the leakage current change trend characteristics within the preset sampling window based on the effective values ​​of each leakage current. The dynamic evaluation module is used to determine the corresponding dynamic judgment score and dynamic judgment result based on the leakage current change trend characteristics and the dynamic judgment threshold group. The comprehensive scoring module is used to weight and fuse the dynamic judgment score and the static judgment score to determine the comprehensive score. The alarm level output module is used to determine the final alarm level of the leakage current signal at the current sampling time based on the dynamic judgment result, the static judgment result, and the comprehensive score.

9. A leakage current alarm level detection device, characterized in that, The leakage current alarm level detection device includes: a memory, a processor, and a leakage current alarm level detection program stored in the memory and executable on the processor, wherein the leakage current alarm level detection program is configured to implement the steps of the leakage current alarm level detection method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and the computer-readable storage medium stores a leakage current alarm level detection program. When the leakage current alarm level detection program is executed by a processor, it implements the steps of the leakage current alarm level detection method as described in any one of claims 1 to 7.

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