Tower grounding measurement evaluation method and system combined with pilot frequency device

Abstract

The invention relates to the technical field of grounding resistance measurement, in particular to a tower grounding measurement evaluation method and system combined with a pilot frequency device, and the method comprises the following steps: dividing detection partitions based on a conduction path between a tower grounding body and the ground, recognizing a sudden change interval, analyzing the consistency of a current phase and a voltage response vector, and screening abnormal communication partitions. And abnormal areas are screened, the deviation degree of grounding impedance distribution and an original performance curve is evaluated, and a tower grounding repair adjustment partition number list is output. According to the method, grounding abnormity accurate positioning is realized through frequency domain sudden change identification, current phase and voltage direction consistency analysis is combined, a conduction abnormity area is discriminated, and defect points are screened through resistivity and electric field consistency verification, so that the local problem that a single resistance value is missed is avoided, and the risk identification precision is improved; a risk level sequence is established through deviation degree trend analysis, a function diagram and a repair strategy are combined, protection resource allocation is optimized, and the grounding safety guarantee capability is enhanced.

Description

Technical Field

[0001] This invention relates to the field of grounding resistance measurement technology, and in particular to a method and system for measuring and evaluating tower grounding combined with a different frequency device. Background Technology

[0002] Grounding resistance measurement technology is an important component of electrical engineering and power system safety testing. It primarily involves the measurement and evaluation of the resistance values ​​of grounding devices in transmission lines, power equipment, and lightning protection facilities. Core aspects of this technology include testing the conductivity of the current path between the grounding electrode and the earth, detecting the grounding potential distribution, and comparing grounding performance at different power frequencies or specific frequencies. The overall scope of this field covers resistance measurement and performance evaluation in scenarios such as power line towers, substation grounding networks, communication base station grounding, and lightning protection grounding in industrial sites. Grounding resistance values ​​are obtained through current injection and voltage acquisition methods, and the grounding status is analyzed by combining frequency characteristics. Traditional tower grounding measurement and evaluation methods refer to the detection and judgment of the grounding resistance of transmission line towers, mainly addressing whether the tower grounding meets the technical requirements for lightning protection and safe operation. Traditional tower grounding measurements use power frequency current injection methods or simplified current-voltage methods, applying a low-frequency current between the grounding electrode and a reference point and measuring the corresponding voltage drop to obtain the grounding resistance value. In some cases, step voltage measurement or voltage divider measurement methods are also used for evaluation.

[0003] Traditional grounding measurement methods in the complex grounding structures of power poles mainly rely on single-point current injection and step voltage acquisition to obtain the overall grounding resistance value. This ignores the non-uniformity of soil resistivity and local conduction anomalies caused by the layout of grounding bodies. As a result, it is difficult to detect local poor contact or current distribution distortion problems in a timely manner when the total resistance value is normal. In substations with high soil resistivity or in scenarios with frequent interference from communication base stations, the measurement results have a strong tendency to be misleading due to averaging, which can easily lead to missed detection of local risks. This limits the ability to identify the grounding status in different areas and the operability of dynamic response adjustment, and affects the grounding's ability to protect against lightning and ensure operational stability in complex environments. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and to propose a method and system for measuring and evaluating tower grounding that combines a different frequency device.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for measuring and evaluating tower grounding combined with a frequency conversion device, comprising the following steps:

[0006] S1: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, the synchronous abrupt change intervals of the current change amplitude and voltage response deviation value are identified on the frequency axis, the corresponding zone number and spatial coordinates are extracted, and a zone abrupt change feature set is generated.

[0007] S2: Call the current phase angle and voltage response vector of the partition in the partition mutation feature set, analyze the consistency of their directions at the partition boundary, combine the partition boundary connectivity, filter the partitions with connectivity and abnormal current phase, and form an abnormal connected partition dataset.

[0008] S3: Based on the abnormal connected partition dataset, extract the soil resistivity distribution matrix and local electric field characteristics within the partition, analyze the soil resistivity uniformity and electric field consistency, screen and match abnormal areas, and obtain a set of defect linkage partitions.

[0009] S4: Based on the location number of the defect linkage zone set, analyze the grounding impedance distribution trend corresponding to the zone, assess the degree of deviation from the original grounding performance curve, mark the abnormality level of the zone according to the deviation magnitude, and output the tower grounding zone risk level assessment list.

[0010] As a further embodiment of the present invention, the partition mutation feature set includes current mutation partition number, voltage response anomaly point, partition coordinate mark, and frequency sequence mutation identifier; the abnormal connectivity partition dataset includes current phase anomaly partition identifier, partition boundary connectivity unit, and partition boundary consistency block; the defect linkage partition set includes soil resistivity anomaly continuous partition, electric field irregular area, impedance mutation overlapping area, and linkage anomaly partition number; and the tower grounding partition risk level assessment list includes risk level label, partition response deviation value, local impedance anomaly index, and grounding performance offset level.

[0011] As a further aspect of the present invention, the step of obtaining the partition mutation feature set specifically includes:

[0012] S111: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, and the difference between the two types of data in the same zone is calculated to obtain the trend value of the difference between current and voltage response.

[0013] S112: Based on the trend value of the difference between current and voltage response, identify the deviation value between the amplitude change value and the voltage response trajectory in the current change curve, perform frequency superposition on the two types of values, extract the frequency range where the amplitude exceeds the reference value and the deviation value exceeds the set threshold, and generate a set of high-frequency abrupt change interval frequency segments.

[0014] S113: For the frequency segment set of the high-frequency mutation interval, match the corresponding partition number and spatial coordinate information, extract the partition location of the occurring signal, and generate a partition mutation feature set.

[0015] As a further aspect of the present invention, the step of obtaining the abnormal connectivity partition dataset specifically includes:

[0016] S211: Identify the current phase angle and voltage response vector of the partition in the partition mutation feature set, extract their projection trajectory at the partition boundary, identify the distribution number and aggregation degree of the boundary point in the partition, and obtain the partition boundary consistency map;

[0017] S212: Based on the boundary consistency map of the partition, filter the boundary areas with a higher degree of aggregation than the average level, compare the spatial boundary of the overall structure map of the tower, identify the continuous and concentrated boundary areas belonging to the same partition, and obtain the current phase anomaly zoning within the tower partition.

[0018] S213: Based on the current phase anomaly zoning within the tower partition, an integrated analysis is performed on the partition boundary consistency, current phase dispersion, soil resistivity uniformity, and voltage response delay. Partition matching is performed according to the response blocks in the layer to form an abnormal connected partition dataset.

[0019] As a further aspect of the present invention, the step of obtaining the defect linkage partition set specifically includes:

[0020] S311: Based on the abnormal connected partition dataset, extract the soil resistivity distribution matrix and local electric field features of the numbered partitions in the layer, align the data in the partitions with timestamps, identify the soil resistivity fluctuation value and the electric field consistency offset, and obtain the local defect response feature set of the tower.

[0021] S312: Based on the local defect response feature set of the tower, the soil resistivity uniformity and electric field consistency within the partition are jointly analyzed, the resistivity-electric field coupling feature value is calculated, the partition unit of resistivity-electric field coupling degree in the layer is selected, and a spatial distribution map of resistivity-electric field cooperative response is established.

[0022] S313: Call the resistivity electric field cooperative response spatial distribution map, cluster the partitions in the coupled feature value layer that exceed the cooperative identification benchmark, label the partition codes and coordinates corresponding to the continuous abnormal regions, and obtain the defect linkage partition set.

[0023] As a further aspect of the present invention, the steps for obtaining the tower grounding zone risk level assessment list are as follows:

[0024] S411: Based on the location number of the defect linkage partition set, extract the partition impedance distribution curve under the specified number, perform time uniform processing, identify the impedance change per unit time, and obtain the partition impedance abnormal change rate set.

[0025] S412: Based on the set of abnormal change rates of the partition impedance, identify the impedance distribution curve of the original grounding performance stage, compare the current impedance change sequence with the reference curve, identify the partition impedance deviation level, extract and mark the partitions whose deviation level exceeds the warning upper limit, and obtain the set of partitions with sudden increase in deviation.

[0026] S413: Based on the aforementioned deviation increase partition set, bind the deviation level value of each partition to the location number in the tower structure space diagram, calculate the grounding risk index of the partition, sort them according to risk level, and output the tower grounding partition risk level assessment list.

[0027] As a further aspect of the present invention, the method further includes step S5:

[0028] S5: Call the tower grounding zone risk level assessment list, identify the corresponding number of the zone in the tower functional diagram, retrieve the repair response unit list, compare the response level with the tower protection priority sequence, filter the zone numbers that need to adjust the response coverage, and output the tower grounding repair adjustment zone number list.

[0029] The list of pole grounding repair and adjustment zone numbers includes the target zone number, response level adjustment parameters, protection priority comparison items, and linkage response trigger type.

[0030] As a further aspect of the present invention, the steps for obtaining the list of pole grounding repair and adjustment zone numbers are as follows:

[0031] S511: Call the tower grounding zone risk level assessment list, extract the zone number in the tower functional diagram, map the zone risk level value to the area coordinate boundary, identify the zone information corresponding to the tower protection level, and generate a tower zone risk distribution map.

[0032] S512: Based on the tower partition risk distribution map, extract the repair response unit number and response level, match the partition risk level with the repair response level, identify the unit number with insufficient response coverage, and obtain the tower partition response risk disconnect list.

[0033] S513: Based on the list of risk disconnection in the pole zone response, and based on the level number in the priority sequence of pole protection, extract the key zone number that needs to improve the response coverage, output the adjustment control parameters linked with the original repair unit in sequence, and output the list of pole grounding repair adjustment zone numbers.

[0034] The tower grounding measurement and evaluation system combined with the frequency conversion device is used to perform the tower grounding measurement and evaluation method combined with the frequency conversion device described above. The system includes:

[0035] The current monitoring module divides the detection zones based on the conduction path between the tower grounding body and the ground, compares the current change amplitude and voltage response deviation within the same frequency band, filters out synchronous abrupt change intervals, extracts the zone number and spatial coordinates, summarizes the abnormal frequency bands and zone numbers, and generates a zone abrupt change feature set.

[0036] Based on the partition mutation feature set, the partition location module identifies the consistency between the current phase angle direction and the voltage response vector, calibrates the partition boundary number, matches the overall tower structure diagram, extracts the partition number range of the current phase abnormal area, and establishes an abnormal connected partition dataset.

[0037] Based on the abnormal connectivity partition dataset, the defect linkage module retrieves the continuous data sequence of soil resistivity distribution matrix and local electric field characteristics in the region, determines the consistency of soil resistivity anomaly boundary connectivity and electric field, marks the partition number that meets the linkage threshold of both, and outputs the defect linkage partition set.

[0038] The impedance early warning module analyzes the impedance distribution trend and the degree of deviation of the original grounding performance curve of the corresponding partition based on the partition number of the defect linkage partition set, extracts the partition number of the deviation trend, completes the level identification according to the risk classification standard, and generates a list of abnormal impedance classification of tower grounding partitions.

[0039] The repair and optimization module, based on the list of abnormal impedance classifications of tower grounding zones, finds the corresponding position number of the risk level zone in the tower functional diagram, retrieves the current repair response unit configuration list, compares the tower protection priority with the current response level, filters the zone numbers that need to be updated, and outputs a list of tower grounding repair adjustment zone numbers.

[0040] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0041] In this invention, by identifying synchronous abrupt changes in current and voltage in the frequency dimension within the grounding path, precise local anomalies at the grounding point can be located. Furthermore, through spatial consistency analysis of current phase angle and voltage response direction, regions with structural connectivity but abnormal conduction are identified. Combined with resistivity distribution and electric field consistency verification, anomaly points are further screened, effectively avoiding the omission of local defects covered by a single resistance value, improving the completeness of grounding status assessment and the accuracy of risk identification. By establishing a grounding performance degradation level sequence through trend deviation analysis, a risk level list for each zone is formed. Combined with functional diagram location results and repair response strategies, the coverage of grounding protection resources can be adjusted in a targeted manner, effectively improving the rationality of resource allocation and the overall safety assurance capability of the grounding system. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the workflow of the present invention;

[0043] Figure 2 This is a flowchart illustrating the process of obtaining the partition mutation feature set in this invention.

[0044] Figure 3 This is a flowchart illustrating the process of obtaining the abnormally connected partition dataset in this invention.

[0045] Figure 4 This is a flowchart illustrating the process of obtaining the defect linkage partition set in this invention.

[0046] Figure 5 This is a flowchart illustrating the process of obtaining the risk level assessment list for tower grounding zones in this invention.

[0047] Figure 6 This is a flowchart illustrating the process of obtaining the list of zoning numbers for tower grounding repair and adjustment in this invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0049] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to has a specific orientation, or is constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0050] Example 1

[0051] Please see Figure 1 This invention provides a technical solution: a method for measuring and evaluating tower grounding combined with a different frequency device, comprising the following steps:

[0052] S1: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, the synchronous abrupt change intervals of the current change amplitude and voltage response deviation value are identified on the frequency axis, the corresponding zone number and spatial coordinates are extracted, and a zone abrupt change feature set is generated.

[0053] S2: Call the current phase angle and voltage response vector of the partition in the partition mutation feature set, analyze the consistency of their directions at the partition boundary, combine the partition boundary connectivity, filter the partitions with connectivity and abnormal current phase, and form an abnormal connected partition dataset.

[0054] S3: Based on the abnormal connected partition dataset, the soil resistivity distribution matrix and local electric field characteristics within the partition are extracted, the soil resistivity uniformity and electric field consistency are analyzed, and matching abnormal areas are screened to obtain a set of defect linkage partitions.

[0055] S4: Based on the location number of the defect linkage zone set, analyze the grounding impedance distribution trend corresponding to the zone, assess the degree of deviation from the original grounding performance curve, mark the abnormality level of the zone according to the deviation magnitude, and output the tower grounding zone risk level assessment list.

[0056] S5: Call the tower grounding zone risk level assessment list, identify the corresponding number of the zone in the tower functional diagram, retrieve the repair response unit list, compare the response level with the tower protection priority sequence, filter the zone numbers that need to adjust the response coverage, and output the tower grounding repair adjustment zone number list.

[0057] The partition mutation feature set includes current mutation partition number, voltage response anomaly location, partition coordinate marker, and frequency sequence mutation identifier. The abnormal connectivity partition dataset includes current phase anomaly partition identifier, partition boundary connectivity unit, and partition boundary consistency block. The defect linkage partition set includes soil resistivity anomaly continuous partition, electric field irregular area, impedance mutation overlapping area, and linkage anomaly partition number. The tower grounding partition risk level assessment list includes risk level label, partition response deviation value, local impedance anomaly index, and grounding performance offset level. The tower grounding repair and adjustment partition number list includes adjustment target partition number, response level adjustment parameter, protection priority comparison item, and linkage response trigger type.

[0058] Please see Figure 2 The specific steps for obtaining the partition mutation feature set are as follows:

[0059] S111: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, and the difference between the two types of data in the same zone is calculated to obtain the trend value of the difference between current and voltage response.

[0060] Based on the conduction path between the tower grounding electrode and the ground, detection zones were defined. First, the grounding system of a transmission tower in an actual power grid was divided into detection zones. According to the physical structure of the tower grounding network and the changes in the surrounding soil resistivity, the area around the tower grounding system was divided into four sector-shaped zones, numbered P1, P2, P3, and P4. The physical boundaries of each zone were clearly defined. Current and voltage sensors were deployed in each zone to collect current distribution data and voltage response data under specific excitation signals. Taking zone P1 as an example, five monitoring points were deployed in this zone. When an injection current signal with an amplitude of 100A and a frequency of 50Hz was applied to the grounding electrode, monitoring point 1 detected a current value of 25A and a voltage value of 10V at time t1; monitoring point 2 detected a current value of 24.5A and a voltage value of 9.8V; monitoring point 3 detected a current value of 23.8A and a voltage value of 9.5V; and monitoring point 4 detected a current value of 22.1A and a voltage value of 9.5V. At monitoring point 5, a current value of 21.6A and a voltage value of 9.0V were detected. The current distribution curve and voltage response trajectory of the zone were extracted. For example, the current value at time t1 was set as data points (25, 24.5, 23.8, 22.1, 21.6), and the voltage value was set as data points (10, 9.8, 9.5, 9.2, 9.0). The difference between the two types of data within the same zone was calculated. For each monitoring point, the voltage value collected at the same time was subtracted from the current value. For example, for monitoring point 1 in partition P1, the voltage value of 10V is subtracted from the current value of 25A to obtain a difference of -15. For monitoring point 2, the difference of 9.8V is subtracted from 24.5A to obtain a difference of -14.7. This difference calculation process is repeated for all monitoring points and all sampling times in each partition. For example, at time t2, the current value of monitoring point 1 in partition P1 is 24.8A, the voltage value is 9.9V, and the difference is -14.9, thus obtaining the trend value of the difference between current and voltage response.

[0061] S112: Based on the trend value of the difference between current and voltage response, identify the deviation value between the amplitude change value and the voltage response trajectory in the current change curve, perform frequency superposition on the two types of values, extract the frequency range where the amplitude exceeds the reference value and the deviation value exceeds the set threshold, and generate a set of high-frequency abrupt change interval frequency segments.

[0062] Based on the trend values ​​of the difference between current and voltage response, the deviation values ​​between the amplitude change value and the voltage response trajectory in the current change curve are identified. A Fourier transform is performed on the trend values ​​of the difference for each partition, converting the time-domain data into frequency-domain data. Amplitude and phase information at different frequency components are extracted. For example, for the trend value sequence of partition P1, after Fast Fourier Transform processing, at a specific frequency point f1 (e.g., 100Hz), the current amplitude change is 15dB, and the voltage response deviation is 0.8 radians. Frequency superposition of these two values ​​is performed, merging the current amplitude change value and voltage response deviation value obtained from the frequency domain analysis at corresponding frequency points. For example, for frequency point f1, the 15dB current amplitude and the 0.8 radian voltage deviation are logically correlated, extracting the frequency range where the amplitude exceeds a reference value and the deviation exceeds a set threshold. The reference value is set by analyzing past... The current signal of the tower under fault-free grounding conditions for one year was monitored, and the average value of its frequency domain amplitude was statistically obtained as 10dB. This 10dB was used as the reference value of the current amplitude. The deviation threshold was set by monitoring the phase deviation of the voltage response under fault-free conditions over the past year. The maximum deviation value was statistically obtained as 0.5 radians. This 0.5 radians was used as the voltage deviation threshold. All frequency points were traversed. If the change in current amplitude of a certain frequency point f1 is 15dB, which is greater than the reference value of 10dB, and the voltage response deviation value of that frequency point is 0.8 radians, which is greater than the set threshold of 0.5 radians, then the frequency point f1 is identified as a valid frequency point in the high-frequency abrupt change range. For example, after judging the frequency points in the range of 0Hz to 500Hz one by one, it was found that 100Hz, 120Hz, and 150Hz all met the conditions, and a set of frequency segments in the high-frequency abrupt change range was generated.

[0063] S113: For the frequency band set of high-frequency mutation intervals, match the corresponding partition number and spatial coordinate information, extract the partition location of the occurring signal, and generate a partition mutation feature set;

[0064] For high-frequency abrupt change interval frequency bands, such as those containing 100Hz, 120Hz, and 150Hz, the corresponding partition number and spatial coordinate information are matched. Specifically, the process involves querying a pre-established tower grounding partition information database. This database stores the unique number of each partition and its precise spatial coordinate range. For example, partition P1 corresponds to number 001, with spatial coordinates ranging from longitude E113.5200° to E113.5205° and latitude N22.3500° to N22.3505°. It also records the frequency response characteristics of each partition under normal operating conditions. The location of the partition where the signal occurred is then extracted. Specifically, each frequency point in the high-frequency abrupt change interval frequency band is matched with the corresponding spatial coordinates recorded in the database. The normal frequency response characteristics of each partition are compared. If the abrupt change characteristic of a certain frequency point (e.g., 100Hz) deviates significantly from the normal frequency response baseline of partition P1 in the database, and this frequency point and partition P1 were identified as having anomalies in the previous steps, then partition P1 is marked as the partition where the signal occurred. For example, for the 100Hz abrupt change frequency, it is found that this frequency is mainly associated with the abnormal response of partition P1; for the 120Hz abrupt change frequency, it is found that this frequency is mainly associated with the abnormal response of partition P2; for the 150Hz abrupt change frequency, it is found that this frequency is mainly associated with the abnormal responses of partitions P1 and P3. Finally, a partition abrupt change feature set is generated, which records the partition number where the abrupt change signal occurred and its corresponding spatial coordinates.

[0065] Please see Figure 3 The specific steps for obtaining the abnormally connected partition dataset are as follows:

[0066] S211: Identify the current phase angle and voltage response vector of the partition in the partition mutation feature set, extract the projection trajectory of the two at the partition boundary, identify the distribution number and aggregation degree of the boundary point in the partition, and obtain the partition boundary consistency map.

[0067] For partition P1 in the abrupt change feature set, its current phase angle at the abrupt change frequency of 100Hz is extracted as 30 degrees, and its voltage response vector is represented as amplitude 12V and phase 45 degrees. The projection trajectories of the two at the partition boundary are extracted. Specifically, assuming partitions P1 and P2 are adjacent and the boundary line is L12, 100 sampling points are uniformly selected on L12. For each sampling point, through electromagnetic field simulation or field measurement, the projection value of the current phase angle generated by P1 at that point in the normal direction of the boundary, and the projection value of the voltage response vector generated by P2 in the normal direction of the boundary, are obtained. For example, at boundary point A, the projection of the current phase angle of P1 is 28 degrees, and the projection of the voltage response vector of P2 is 40 degrees. The distribution and aggregation degree of boundary points in the partitions are determined by the following process: The number of points on the boundary line whose phase difference between the current phase angle projection and the voltage response vector projection falls within a preset range (e.g., ±5 degrees) is counted, and these points are marked as consistent boundary points. For example, on the boundary line L12 between partitions P1 and P2, if there are 80 sampling points whose phase difference falls within ±5 degrees, then the distribution number is 80. The aggregation degree is calculated by examining the spatial clustering of consistent boundary points on the boundary line. For example, if these 80 points are concentrated in a small area of ​​L12, the aggregation degree is considered high; if they are scattered, the aggregation degree is considered low. This process yields a boundary consistency map of the partitions.

[0068] S212: Based on the boundary consistency map of the zones, filter the boundary areas with a higher degree of aggregation than the average level, compare the spatial boundaries of the overall tower structure map, identify the continuous boundary clusters that belong to the same zone, and obtain the current phase anomaly zone within the tower zone.

[0069] Based on the consistency map of the partition boundaries, the average aggregation degree of the consistency boundary points on all partition boundaries is first calculated. This is done by summing the aggregation degrees of all partition boundaries and dividing by the number of boundaries; for example, an average aggregation degree of 0.6 is obtained. Then, boundary areas with aggregation degrees exceeding this average of 0.6 are identified. For instance, if the aggregation degree of boundary line L12 between partitions P1 and P2 is 0.8, higher than the average of 0.6, then L12 is selected. The selected boundary areas are then compared with the spatial boundaries of the overall tower structure diagram, overlaid with the digital model of the tower grounding system and its surrounding environment to verify whether the boundary areas are consistent. Physically, the boundary of a specific part of the tower grounding body (such as a grounding electrode or down conductor) coincides with or is adjacent to the boundary of the tower. Identify continuous boundary clusters that belong to the same zone. Within the selected boundary areas, further check whether there are continuous and closely connected consistent boundary point groups that clearly belong to a specific detection zone in physical space. For example, on the L12 boundary line, if there is a continuous area with a length of 3 meters and all consistent boundary points point to zone P1, then this 3-meter area is identified as a continuous boundary cluster that belongs to the same zone, thus obtaining the current phase anomaly zone within the tower zone.

[0070] S213: Based on the current phase anomaly zoning within the tower zoning, an integrated analysis is performed on the consistency of zoning boundaries, current phase dispersion, soil resistivity uniformity, and voltage response delay. Zoning matching is performed according to the response blocks in the layer to form an abnormal connected zoning dataset.

[0071] Based on the current phase anomaly zoning within the tower zones, such as the 3-meter anomaly concentration area identified at the boundary of zones P1 and P2, an integrated analysis was performed on the boundary consistency, current phase dispersion, soil resistivity uniformity, and voltage response delay. The quantitative index of this anomaly zoning in the boundary consistency map was obtained, for example, a consistency score of 0.85. Secondly, the current phase dispersion of multiple monitoring points within the zone was obtained. The current phase angles of five monitoring points within the zone were statistically analyzed. If they were 28 degrees, 29 degrees, 30 degrees, 32 degrees, and 31 degrees respectively, the standard deviation was calculated to be 1.58 degrees, which was used as the phase dispersion. Thirdly, soil resistivity measurements were performed within the zone. Using the four-electrode method, the soil resistivity at the five points was measured to be 100 ohm-meters, 102 ohm-meters, 98 ohm-meters, 105 ohm-meters, and 99 ohm-meters respectively. The standard deviation was calculated as follows. The uniformity of soil resistivity was characterized by 2.83 ohms·m. Finally, the voltage response delay time of each monitoring point within the zone was obtained. The voltage response delay times of the five points were measured to be 10 ns, 11 ns, 9 ns, 12 ns, and 10 ns, with an average delay of 10.4 ns. The integrated analysis process comprehensively evaluated the above four indicators (consistency score 0.85, phase dispersion 1.58 degrees, soil resistivity uniformity 2.83 ohms·m, and average voltage response delay 10.4 ns). Based on the response blocks in the layer, partition matching was performed. The integrated analysis results were compared with the predefined response blocks in the digital model of the tower grounding system. For example, if a specific branch of the tower grounding network exhibits low phase dispersion and high consistency, and the analysis results of the current zone do not match it, it is matched to the corresponding abnormal response block to form an abnormal connectivity partition dataset.

[0072] Please see Figure 4 The specific steps for obtaining the defect linkage partition set are as follows:

[0073] S311: Based on the abnormal connected partition dataset, extract the soil resistivity distribution matrix and local electric field features of the numbered partitions in the layer, align the data in the partitions with timestamps, identify the soil resistivity fluctuation value and the electric field consistency offset, and obtain the local defect response feature set of the tower.

[0074] Based on anomaly connected partition datasets, such as partitions P1 and P3 identified as anomalously connected, the soil resistivity distribution matrix and local electric field features of the numbered partitions within the layer are extracted. For anomalously connected partitions P1 and P3, soil resistivity distribution matrices are constructed using geological exploration data, electrical resistivity exploration data, and real-time monitoring data. For example, for partition P1, its soil resistivity distribution matrix is ​​a 10x10 grid, with each grid point representing the soil resistivity value of a local area. For instance, the resistivity of a grid point in the central region of P1 is 120 ohm-meters. Simultaneously, by deploying electric field sensors within the partitions, local electric field intensity data for each partition under specific conditions is collected. For example, at the moment of a lightning strike, the electric field intensity in region P1 reaches 1000 V / m. The data within the partitions are timestamped and analyzed. Resistivity and electric field strength data are synchronized with precise timestamps. For example, all data are aligned to millisecond-level time granularity. Soil resistivity fluctuations and electric field consistency offsets are identified by comparing the soil resistivity distribution matrix of a certain partition (e.g., P1) in the current time period with the historical reference resistivity distribution matrix under normal conditions point by point. The percentage change in resistivity at each grid point is calculated. For example, if the historical reference resistivity at a certain point is 110 ohm-meters and the current value is 120 ohm-meters, the fluctuation value is 9.09%. Electric field consistency offsets are identified by comparing the current electric field characteristics with the electric field pattern under normal operating conditions and calculating the Euclidean distance between the two. For example, if the Euclidean distance between the current electric field pattern of P1 and the historical normal pattern is greater than 0.1, an electric field consistency offset is determined to exist, and the local defect response feature set of the tower is obtained.

[0075] S312: Based on the local defect response characteristic set of the tower, a joint analysis of the soil resistivity uniformity and electric field consistency within the zone is performed, using the following formula: ;

[0076] Calculate the resistivity electric field coupling characteristic value, filter the partition cells of resistivity electric field coupling degree in the layer, and establish a spatial distribution map of resistivity electric field cooperative response;

[0077] in, Represents the resistivity-electric field coupling characteristic value. This represents the soil resistivity value of the i-th region. This represents the electric field strength value of the i-th region. The total number of representative regions, The coefficient is dimensionless.

[0078] Based on the local defect response feature set of the tower, such as the soil resistivity fluctuation value of 9.09% and the Euclidean distance of electric field consistency offset of 0.15 in partition P1, a joint analysis of soil resistivity uniformity and electric field consistency within the partition is performed. Specifically, the process involves statistically analyzing the soil resistivity fluctuation values ​​in the local defect response feature set of the tower and calculating their spatial standard deviation. For example, if the standard deviation of the soil resistivity fluctuation values ​​of all grid points in partition P1 is 2%, it indicates good soil resistivity uniformity in that partition; if the standard deviation is 15%, it indicates poor uniformity. Simultaneously, an aggregation analysis of the electric field consistency offset is performed to calculate the average electric field consistency offset of all electric field sensors within the partition. For example, if the average electric field consistency offset measured by all sensors in partition P1 is 0.12, the formula is used:

[0079] Calculate the resistivity-electric field coupling eigenvalues, where, Represents the resistivity-electric field coupling characteristic value. This represents the soil resistivity value of the i-th region. The value is obtained by measuring the soil resistivity in region i, for example, using the Winner quadrupole method, and is expressed in ohms·meters. This represents the electric field strength value of the i-th region. The value is obtained by placing an electric field sensor in region i for real-time measurement, and the value is expressed as volts per meter. The total number of regions represented here, This represents the number of sub-regions for joint analysis. For example, if partition P1 is divided into 3 sub-regions for detailed analysis, then... , Dimensionless coefficient, dimensionless coefficient The settings were based on theoretical coupling strength and empirical data between different soil media and electric field intensities. By performing regression analysis on soil resistivity and electric field intensity data collected under normal operating conditions, an optimal coupling characteristic value was obtained that allows the coupling characteristic value to effectively distinguish between normal and abnormal states. Values, for example, verified experimentally, when When set to 0.005, this formula exhibits the highest sensitivity and accuracy in distinguishing grounding system defects. For example, assuming partition P1 is divided into 3 sub-regions, the parameter values ​​are shown in Table 1.

[0080] Table 1: Parameter Table for Subregion P1

[0081] As shown in Table 1, the soil resistivity of sub-region 1 110 electric field strength 950 Soil resistivity in sub-region 2 105 electric field strength 980 Soil resistivity in sub-region 3 115 electric field strength 1020 dimensionless coefficient Set the value to 0.005 and substitute the value into the formula for calculation: ;

[0082] The advantage of this formula lies in its ability to highlight the contribution of simultaneous anomalies in both soil resistivity and electric field strength to the coupling characteristic value by multiplying and squaring them. Furthermore, by summing and square-taking the product terms over all sub-regions, it assesses the cumulative effect of local anomalies. Combined with the reciprocal form of the weighted average, it reduces the excessive influence of a single extreme value on the overall assessment. This allows the characteristic value to effectively reflect the overall defect level of the grounding system and the correlation between regions. It filters out partitions in the layer where the resistivity-electric field coupling degree is higher than the collaborative identification benchmark. The collaborative identification benchmark is set with reference to the statistical average of the resistivity-electric field coupling characteristic value under normal grounding system operation, for example, through a large number of healthy towers. The grounding was tested, and the average value of its resistivity-electric field coupling characteristic value was obtained as 0.15. This average value was set as the cooperative identification benchmark, i.e., the benchmark value is 0.15. The resistivity-electric field coupling characteristic value of P1 obtained above is 0.286. Compared with the cooperative identification benchmark of 0.15, 0.286 is significantly higher than 0.15. Therefore, P1 is selected as a partition unit with abnormal coupling. A resistivity-electric field cooperative response spatial distribution map is established. The result shows that there is a strong coupling anomaly in the soil resistivity and local electric field inside partition P1, indicating that there is a potential defect in this area. This partition will be included as an abnormal partition unit in the resistivity-electric field cooperative response spatial distribution map.

[0083] S313: Call the resistivity electric field cooperative response spatial distribution map, cluster the partitions in the coupled feature value layer that exceed the cooperative identification benchmark, label the partition codes and coordinates corresponding to the continuous abnormal areas, and obtain the defect linkage partition set;

[0084] The resistivity-electric field cooperative response spatial distribution map is invoked. For example, partitions P1 and P3 are marked as partitions with anomalous resistivity-electric field coupling. Partitions in the coupling feature value layer that exceed the cooperative identification benchmark are clustered. First, all partitions with coupling feature values ​​exceeding the cooperative identification benchmark of 0.15 are extracted from the resistivity-electric field cooperative response spatial distribution map. For example, P1 has a coupling feature value of 0.286, and P3 has a coupling feature value of 0.252. Based on the spatial location and similarity of coupling feature values ​​of the anomalous partitions, a density-based spatial clustering algorithm is used to group adjacent partitions with similar coupling feature values ​​into one cluster. For example, P1 and P3 are physically adjacent and their coupling feature values ​​are not significantly different, so P1 and P3 are clustered together. For a continuous anomalous region, the corresponding partition code and coordinates are labeled. For each continuous anomalous region formed by clustering, the codes of all partition units it contains are recorded, such as the codes of P1 and P3, and the overall spatial coordinate range of the region is determined. For example, the spatial coordinate range of P1 is from longitude E113.5200° to E113.5205° and latitude N22.3500° to N22.3505°, and the spatial coordinate range of P3 is from longitude E113.5210° to E113.5215° and latitude N22.3500° to N22.3505°. Then the overall coordinates of the continuous anomalous region will cover the joint spatial range of these two partitions, resulting in a defect linkage partition set.

[0085] Please see Figure 5 The specific steps for obtaining the tower grounding zone risk level assessment list are as follows:

[0086] S411: Based on the location number of the defect linkage partition set, extract the partition impedance distribution curve under the specified number, perform time uniform processing, identify the impedance change per unit time, and obtain the partition impedance abnormal change rate set.

[0087] Based on the location number of the defect linkage partition set, for example, if the set includes partitions P1 and P3, the impedance distribution curve of the partition under the specified number is extracted. For each partition in the defect linkage partition set, such as P1, the grounding impedance value of the area is periodically collected through the preset grounding impedance test point in the P1 area, and an impedance distribution curve that changes over time is constructed. For example, for partition P1, the grounding impedance value sequence for each hour in the past 24 hours is obtained and time uniform processing is performed to ensure that the impedance distribution curves of all partitions have the same time sampling interval and starting point. For example, all impedance data are resampled to the hourly time of each hour to identify the impedance change per unit time. For each partition, the impedance difference between adjacent time points on its impedance distribution curve is calculated. For example, if the impedance of partition P1 is 10 ohms at t=1h and 10.2 ohms at t=2h, then its impedance change per unit time (1 hour) is 10.2 minus 10 equals 0.2 ohms. This process is repeated for each partition throughout the monitoring period to obtain the partition impedance abnormal change rate set.

[0088] S412: Based on the set of abnormal change rates of zone impedance, identify the impedance distribution curve of the original grounding performance stage, compare the current impedance change sequence with the reference curve, identify the zone impedance deviation level, extract and mark the zones whose deviation level exceeds the warning upper limit, and obtain the set of zones with sudden increase in deviation.

[0089] Based on the set of abnormal impedance change rates for different zones, for example, if the impedance change rate for zone P1 is 0.2 ohms / hour, the impedance distribution curve for the initial grounding performance stage is identified. By reviewing the tower's historical maintenance records and initial acceptance reports, the grounding impedance monitoring data for the tower's grounding system during the initial healthy operation phase (e.g., the first year after installation and stabilization) is obtained and used as the reference curve for the impedance distribution during the initial grounding performance stage. For example, if the average impedance of zone P1 during the initial healthy operation phase is 8 ohms, and its impedance curve fluctuates within ±0.5 ohms, the current impedance change sequence is compared with the reference curve. The currently monitored zone impedance change sequence is compared point by point with the reference curve for the initial grounding performance stage, and the deviation between the two is calculated. For example, if a certain value in the current impedance change sequence for zone P1 is 10.5 ohms, while the corresponding value on the reference curve is 8.2 ohms, then the deviation is 10.5 minus 8.2, which equals 2.3 ohms. The zone impedance deviation level is then identified. Based on the magnitude of the deviation, the impedance deviation levels of the partitions are divided into slight deviation (deviation value between 0.5 ohms and 1.5 ohms), moderate deviation (deviation value between 1.5 ohms and 3.0 ohms), and severe deviation (deviation value greater than 3.0 ohms). For example, the deviation value of 2.3 ohms in partition P1 falls within the moderate deviation range, so its deviation level is moderate deviation. The upper warning limit is set based on the analysis of numerous fault cases. It was found that when the grounding impedance deviates from its original performance by more than 2.5 ohms, the risk of grounding failure increases significantly. Therefore, the upper warning limit is set to 2.5 ohms. Partitions with deviation levels exceeding the upper warning limit are extracted and marked. From all partitions, those whose impedance deviation levels correspond to deviation values ​​exceeding 2.5 ohms are selected. For example, if the deviation level of partition P1 is 2.3 ohms, which does not exceed 2.5 ohms, while the deviation level of partition P3 is 2.8 ohms, then partition P3 is marked as a partition with a sudden increase in deviation, and a set of partitions with sudden increases in deviation is obtained.

[0090] S413: Based on the deviation surge partition set, the deviation level value of each partition is bound to the location number in the tower structure spatial diagram, using the formula: ;

[0091] Calculate the grounding risk index of the zone, sort by risk level, and output a list of risk level assessments for tower grounding zones;

[0092] in, The grounding risk index represents the zone. This represents the deviation between the z-th partition and the j-th tower location number. This represents the cross-sectional area of ​​the j-th tower. This represents the length of the j-th tower. Represents the surface area of ​​the z-th partition. This represents the grounding area of ​​the z-th partition. Indicates the total number of poles and towers;

[0093] Based on the deviation surge partition set, for example, which includes partition P3, the deviation level value of each partition is bound to the location number in the tower structure spatial diagram. Specifically, the deviation level value of partition P3 (e.g., deviation 2.8) is used to... (Corresponding to severe deviations) is associated with its specific location number in the tower structure spatial diagram. For example, partition P3 is located at the southeast corner of the tower foundation and is numbered SE-03. The formula is: Calculate the grounding risk index of the zone, where, The grounding risk index, representing the zone, is a dimensionless comprehensive assessment value. Representing the The first partition and the first Deviation of the tower location number The acquisition of the first The partition in the _th ... The difference between the measured impedance value and the historical reference impedance value at each tower location number, for example, the deviation value corresponding to the calculated zone impedance deviation level, is expressed in ohms. Representing the The cross-sectional area of ​​each tower, The area is obtained by consulting the tower design drawings or measuring the cross-sectional dimensions of the tower foundation on-site, and then calculating its area in square meters. Representing the The length of each tower The value is obtained by consulting the tower design drawings or measuring the total height of the tower on-site; the value is in meters. Representing the The surface area of ​​each partition The value is obtained by calculating using a geometric model that divides the area into zones, and the value is in square meters. Representing the The grounding area of ​​each zone, The value is obtained by calculating the grounding electrode layout diagram and grounding electrode dimensions within the zone, and is expressed in square meters. This indicates the total number of poles and towers. In this embodiment, This represents the number of towers associated with the set of zones linked to this defect, for example, when analyzing only a single tower. The summation symbol here This means summing the contributions of multiple towers (or different location numbers of towers) to the zoning risk, reflecting the comprehensiveness of the risk assessment. The absolute value sign... This indicates the magnitude of the deviation; both positive and negative values ​​contribute to the risk index. (Score item) This indicates the impact of the structural dimensions of the tower on grounding performance, including the cross-sectional area. With length The ratio of the two values ​​reflects the stability of the tower foundation and the depth of the grounding electrode. A larger ratio indicates a more stable tower foundation or a deeper grounding electrode, thus having a greater impact on grounding performance. (The square root term...) Indicates the grounding efficiency of the zone, surface area With grounding area The ratio, after taking the square root, reflects the contact efficiency between the grounding electrode and the soil, as well as the effectiveness of current dissipation. A larger ratio indicates a larger surface area per unit grounding area and higher grounding efficiency, making a significant contribution to risk assessment. The multiplication and addition operations of this ratio together construct a comprehensive mathematical model for assessing the risk of zonal grounding. For example, suppose we are assessing the risk index of zonal P3, and this defect-linked zonal set is only associated with one tower (i.e.,...). This is associated with tower J1, and the deviation of partition P3 has been calculated. It is 2.8 By consulting the design drawings of tower J1, its cross-sectional area was obtained. It is 0.6 (For example, the foundation of the tower is a square with a side length of 0.8m and an area of...) (Approximate value), length 30 The surface area of ​​partition P3 was calculated using the partitioned geometric model. 15 The grounding area of ​​partition P3 is calculated using the grounding electrode layout diagram. 5 Substitute the numerical values ​​into the formula to perform the calculation: ;

[0094] The advantage of this formula lies in its ability to comprehensively and quantitatively assess the risk of a grounding system by considering factors such as impedance deviation, tower structure dimensions, and grounding efficiency. The results directly reflect the severity of defects and their impact on the overall tower grounding performance, providing a precise basis for subsequent repair decisions. The system is sorted by risk level. For example, the grounding risk index G value is calculated for all defect-linked zones in the set, and the zones are sorted in descending order of G value. For instance, if the risk index of zone P3 is 4.881 and the risk index of zone P1 (assuming a similar calculation) is 3.250, the sorting result is P3 and P1. The resulting tower grounding zone risk level assessment list shows that zone P3 has the highest grounding risk and will be placed at the top of the assessment list to guide subsequent repair priorities.

[0095] Please see Figure 6The specific steps for obtaining the list of zoning numbers for tower grounding repair and adjustment are as follows:

[0096] S511: Call the tower grounding zone risk level assessment list, extract the zone number in the tower functional diagram, map the zone risk level value to the area coordinate boundary, identify the zone information corresponding to the tower protection level, and generate a tower zone risk distribution map.

[0097] The system retrieves the risk level assessment list for tower grounding zones. For example, zone P3 has a risk index of 4.881, and zone P1 has a risk index of 3.250. It extracts the zone numbers within the tower functional diagram. Based on the zone number in the assessment list, such as P3, it queries the corresponding functional area number in the tower functional diagram. For instance, P3 is located in the "Main Grounding Electrode Connection Area," with the number F-01. The system then maps the zone risk level values ​​to the area coordinate boundaries. Specifically, it maps the risk index of P3 (4.881) to its corresponding spatial coordinate boundary. For example, the spatial coordinates of zone P3 are longitude E113.5210° to E113.5215° and latitude N22.3500° to N... 22.3505°, identify the zoning information corresponding to the protection level of the tower. The tower protection level is set with reference to the importance of the tower, its environment, and its impact on the stability of the power grid. For example, the protection level of UHV towers located on the main line of the State Grid is set as "Level 1 protection", and ordinary transmission towers are set as "Level 2 protection". By comparing the risk index of the zoning with the overall protection level requirements of the tower, the zoning information that needs to be focused on is identified. For example, if the tower is a Level 1 protection tower, and the risk index of zoning P3 is 4.881, which has reached the high risk level (for example, a risk index greater than 4.5 is a high risk), then P3 is identified as a key zoning, and a tower zoning risk distribution map is generated.

[0098] S512: Based on the risk distribution map of tower zones, extract the repair response unit number and response level, match the zone risk level with the repair response level, identify the unit number with insufficient response coverage, and obtain the list of tower zone response risk disconnection.

[0099] Based on the risk distribution map of the tower zones, for example, area P3 is marked as high risk. The repair response unit number and response level are extracted. The identification of the repair response unit number is done by querying the tower's maintenance records and repair scheme database. For example, the tower grounding system is equipped with various repair response units, such as adding an auxiliary grounding electrode unit (number R-01), soil improvement unit (number R-02), or replacing the down conductor unit (number R-03). Each unit has a corresponding response level; for example, R-01 is "high response level," and R-02 is "medium response level." The risk level of zone P3 is matched with the repair response level. The high-risk (index 4.881) is compared one-to-one with the response level of the existing repair response units. For example, high-risk units need to be matched with repair units of high response level. The unit number with insufficient response coverage is identified. If partition P3 is in a high-risk state, but there are not enough "high response level" units of a certain number or type among the currently available repair response units to effectively cover the entire risk range of P3, for example, the existing unit R-01 (high response level) can only cover 50% of the P3 area, that is, the coverage rate is lower than the set coverage sufficient threshold of 80%, then the unit number R-01 is identified as insufficient response coverage, and the pole partition response risk disconnect list is obtained.

[0100] S513: Based on the list of risk disconnection in tower zone response, and based on the level number in the tower protection priority sequence, extract the key zone number that needs to improve the response coverage, output the adjustment control parameters linked with the original repair unit in sequence, and output the list of tower grounding repair adjustment zone numbers.

[0101] Based on the list of risk disconnects in tower zoning response, for example, if zone P3 has insufficient coverage of repair response unit R-01, and according to the priority sequence of tower protection (which is pre-defined based on the strategic importance of the tower in the power grid, the severity of its environment, and the severity of the fault consequences; for example, primary protection towers have the highest priority sequence (Level 1), followed by secondary protection towers (Level 2), the key zone numbers requiring improved response coverage are extracted. From the risk disconnect list, those key zone numbers associated with high-priority towers (e.g., Level 1) and with insufficient response coverage are selected. For example, if zone P3 belongs to... If a Class 1 tower has insufficient response coverage, then P3 is identified as a critical zone requiring improved response. Adjustment control parameters linked to the original repair unit are output sequentially. For the critical zone P3 and its insufficient response coverage repair unit R-01, a series of adjustment control parameters are generated. For example, for R-01, the adjustment parameters include the number of new auxiliary grounding electrodes (e.g., increasing from 3 to 5), the burial depth of the auxiliary grounding electrodes (e.g., increasing from 2 meters to 3 meters), and the material of the auxiliary grounding electrodes (e.g., changing from galvanized steel to copper-clad steel). These parameters are linked to the original repair unit R-01 to improve its coverage and effectiveness. A list of tower grounding repair adjustment zone numbers is output.

[0102] The tower grounding measurement and evaluation system combined with frequency conversion device is used to perform the above-mentioned tower grounding measurement and evaluation method combined with frequency conversion device. The system includes:

[0103] The current monitoring module divides the detection zones based on the conduction path between the tower grounding body and the ground, compares the current change amplitude and voltage response deviation within the same frequency band, filters out synchronous abrupt change intervals, extracts the zone number and spatial coordinates, summarizes the abnormal frequency bands and zone numbers, and generates a zone abrupt change feature set.

[0104] The partition localization module identifies the consistency between the current phase angle direction and the voltage response vector based on the partition mutation feature set, calibrates the partition boundary number, matches the overall structure diagram of the tower, extracts the partition number range of the current phase abnormal area, and establishes an abnormal connected partition dataset.

[0105] The defect linkage module is based on the abnormal connectivity partition dataset. It retrieves the continuous data sequence of soil resistivity distribution matrix and local electric field characteristics in the region, judges the connectivity of soil resistivity anomaly boundary and the consistency of electric field, marks the partition number that meets the linkage threshold of the two, and outputs the defect linkage partition set.

[0106] The impedance early warning module analyzes the impedance distribution trend and the degree of deviation of the original grounding performance curve of the corresponding partition based on the partition number of the defect linkage partition set, extracts the partition number of the deviation trend, completes the level identification according to the risk classification standard, and generates a list of abnormal impedance classification of tower grounding partitions.

[0107] The repair and optimization module is based on the list of abnormal impedance classifications of tower grounding zones. It finds the corresponding position number of the risk level zone in the tower functional diagram, retrieves the current repair response unit configuration list, compares the tower protection priority with the current response level, filters the zone numbers that need to be updated, and outputs a list of tower grounding repair adjustment zone numbers.

[0108] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for measuring and evaluating tower grounding combined with a frequency conversion device, characterized in that, Includes the following steps: S1: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, the synchronous abrupt change intervals of the current change amplitude and voltage response deviation value are identified on the frequency axis, the corresponding zone number and spatial coordinates are extracted, and a zone abrupt change feature set is generated. S2: Call the current phase angle and voltage response vector of the partition in the partition mutation feature set, analyze the consistency of their directions at the partition boundary, combine the partition boundary connectivity, filter the partitions with connectivity and abnormal current phase, and form an abnormal connected partition dataset. S3: Based on the abnormal connected partition dataset, extract the soil resistivity distribution matrix and local electric field characteristics within the partition, analyze the soil resistivity uniformity and electric field consistency, screen and match abnormal areas, and obtain a set of defect linkage partitions. S4: Based on the location number of the defect linkage zone set, analyze the grounding impedance distribution trend corresponding to the zone, assess the degree of deviation from the original grounding performance curve, mark the abnormality level of the zone according to the deviation magnitude, and output the tower grounding zone risk level assessment list.

2. The tower grounding measurement and evaluation method combined with a different frequency device according to claim 1, characterized in that, The partition mutation feature set includes current mutation partition number, voltage response anomaly point, partition coordinate mark, and frequency sequence mutation identifier. The abnormal connectivity partition dataset includes current phase anomaly partition identifier, partition boundary connectivity unit, and partition boundary consistency block. The defect linkage partition set includes soil resistivity anomaly continuous partition, electric field irregular area, impedance mutation overlapping area, and linkage anomaly partition number. The tower grounding partition risk level assessment list includes risk level label, partition response deviation value, local impedance anomaly index, and grounding performance offset level.

3. The tower grounding measurement and evaluation method combined with a different frequency device according to claim 1, characterized in that, The specific steps for obtaining the partition mutation feature set are as follows: S111: Based on the conduction path between the tower grounding body and the ground, the detection zones are divided, the current distribution curves and voltage response trajectories of the zones are extracted, and the difference between the two types of data in the same zone is calculated to obtain the trend value of the difference between current and voltage response. S112: Based on the trend value of the difference between current and voltage response, identify the deviation value between the amplitude change value and the voltage response trajectory in the current change curve, perform frequency superposition on the two types of values, extract the frequency range where the amplitude exceeds the reference value and the deviation value exceeds the set threshold, and generate a set of high-frequency abrupt change interval frequency segments. S113: For the frequency segment set of the high-frequency mutation interval, match the corresponding partition number and spatial coordinate information, extract the partition location of the occurring signal, and generate a partition mutation feature set.

4. The tower grounding measurement and evaluation method combined with a different frequency device according to claim 3, characterized in that, The specific steps for obtaining the abnormal connectivity partition dataset are as follows: S211: Identify the current phase angle and voltage response vector of the partition in the partition mutation feature set, extract their projection trajectory at the partition boundary, identify the distribution number and aggregation degree of the boundary point in the partition, and obtain the partition boundary consistency map; S212: Based on the boundary consistency map of the partition, filter the boundary areas with a higher degree of aggregation than the average level, compare the spatial boundary of the overall structure map of the tower, identify the continuous and concentrated boundary areas belonging to the same partition, and obtain the current phase anomaly zoning within the tower partition. S213: Based on the current phase anomaly zoning within the tower partition, an integrated analysis is performed on the partition boundary consistency, current phase dispersion, soil resistivity uniformity, and voltage response delay. Partition matching is performed according to the response blocks in the layer to form an abnormal connected partition dataset.

5. The method for measuring and evaluating tower grounding combined with a different frequency device according to claim 4, characterized in that, The specific steps for obtaining the defect linkage partition set are as follows: S311: Based on the abnormal connected partition dataset, extract the soil resistivity distribution matrix and local electric field features of the numbered partitions in the layer, align the data in the partitions with timestamps, identify the soil resistivity fluctuation value and the electric field consistency offset, and obtain the local defect response feature set of the tower. S312: Based on the local defect response feature set of the tower, the soil resistivity uniformity and electric field consistency within the partition are jointly analyzed, the resistivity-electric field coupling feature value is calculated, the partition unit of resistivity-electric field coupling degree in the layer is selected, and a spatial distribution map of resistivity-electric field cooperative response is established. S313: Call the resistivity electric field cooperative response spatial distribution map, cluster the partitions in the coupled feature value layer that exceed the cooperative identification benchmark, label the partition codes and coordinates corresponding to the continuous abnormal regions, and obtain the defect linkage partition set.

6. The method for measuring and evaluating tower grounding combined with a frequency conversion device according to claim 5, characterized in that, The specific steps for obtaining the tower grounding zone risk level assessment list are as follows: S411: Based on the location number of the defect linkage partition set, extract the partition impedance distribution curve under the specified number, perform time uniform processing, identify the impedance change per unit time, and obtain the partition impedance abnormal change rate set. S412: Based on the set of abnormal change rates of the partition impedance, identify the impedance distribution curve of the original grounding performance stage, compare the current impedance change sequence with the reference curve, identify the partition impedance deviation level, extract and mark the partitions whose deviation level exceeds the warning upper limit, and obtain the set of partitions with sudden increase in deviation. S413: Based on the aforementioned deviation increase partition set, bind the deviation level value of each partition to the location number in the tower structure space diagram, calculate the grounding risk index of the partition, sort them according to risk level, and output the tower grounding partition risk level assessment list.

7. The method for measuring and evaluating tower grounding combined with a different frequency device according to claim 1, characterized in that, The method also includes step S5: S5: Call the tower grounding zone risk level assessment list, identify the corresponding number of the zone in the tower functional diagram, retrieve the repair response unit list, compare the response level with the tower protection priority sequence, filter the zone numbers that need to adjust the response coverage, and output the tower grounding repair adjustment zone number list. The list of pole grounding repair and adjustment zone numbers includes the target zone number, response level adjustment parameters, protection priority comparison items, and linkage response trigger type.

8. The method for measuring and evaluating tower grounding combined with a frequency conversion device according to claim 7, characterized in that, The specific steps for obtaining the list of tower grounding repair and adjustment zone numbers are as follows: S511: Call the tower grounding zone risk level assessment list, extract the zone number in the tower functional diagram, map the zone risk level value to the area coordinate boundary, identify the zone information corresponding to the tower protection level, and generate a tower zone risk distribution map. S512: Based on the tower zoning risk distribution map, extract the repair response unit number and response level, match the zoning risk level with the repair response level, identify the unit number with insufficient response coverage, and obtain the tower zoning response risk disconnect list. S513: Based on the list of risk disconnection in the pole zone response, and based on the level number in the priority sequence of pole protection, extract the key zone number that needs to improve the response coverage, output the adjustment control parameters linked with the original repair unit in sequence, and output the list of pole grounding repair adjustment zone numbers.

9. A tower grounding measurement and evaluation system combined with a different frequency device, characterized in that, The system is used to implement the tower grounding measurement and evaluation method combined with a frequency conversion device as described in any one of claims 1-8, the system comprising: The current monitoring module divides the detection zones based on the conduction path between the tower grounding body and the ground, compares the current change amplitude and voltage response deviation within the same frequency band, filters out synchronous abrupt change intervals, extracts the zone number and spatial coordinates, summarizes the abnormal frequency bands and zone numbers, and generates a zone abrupt change feature set. Based on the partition mutation feature set, the partition location module identifies the consistency between the current phase angle direction and the voltage response vector, calibrates the partition boundary number, matches the overall tower structure diagram, extracts the partition number range of the current phase abnormal area, and establishes an abnormal connected partition dataset. Based on the abnormal connectivity partition dataset, the defect linkage module retrieves the continuous data sequence of soil resistivity distribution matrix and local electric field characteristics in the region, determines the consistency of soil resistivity anomaly boundary connectivity and electric field, marks the partition number that meets the linkage threshold of both, and outputs the defect linkage partition set. The impedance early warning module analyzes the impedance distribution trend and the degree of deviation of the original grounding performance curve of the corresponding partition based on the partition number of the defect linkage partition set, extracts the partition number of the deviation trend, completes the level identification according to the risk classification standard, and generates a list of abnormal impedance classification of tower grounding partitions. The repair and optimization module, based on the list of abnormal impedance classifications of tower grounding zones, finds the corresponding position number of the risk level zone in the tower functional diagram, retrieves the current repair response unit configuration list, compares the tower protection priority with the current response level, filters the zone numbers that need to be updated, and outputs a list of tower grounding repair adjustment zone numbers.

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