A method, system, device and medium for checking a wire wind vibration fatigue point

Abstract

This invention discloses a method, system, equipment, and medium for identifying wind-induced fatigue points in power transmission lines, relating to the field of disaster prevention and mitigation for power transmission lines. The method includes: dividing the continuous pulsating load data of the conductor into multiple wind speed intervals; selecting typical pulsating loads from the continuous pulsating load data in each wind speed interval using a statistical algorithm; applying the typical pulsating loads of each wind speed interval to a constructed finite element model of the conductor insulator; calculating the total cumulative damage rate of the conductor using a dynamic damage integration algorithm; performing a life assessment based on the total cumulative damage rate to obtain the fatigue life of the conductor; and if the fatigue life determines that the conductor belongs to a high-risk line section, then fatigue point identification is performed on the conductor. This method not only improves the efficiency of detection and the accuracy of fatigue life calculation, reducing the workload of manual inspections, but also promptly detects potential fatigue damage, thus providing strong protection for the safe operation of power lines.

Description

Technical Field

[0001] This invention relates to the field of disaster prevention and mitigation for power transmission lines, specifically to a method, system, equipment, and medium for identifying conductor wind-induced fatigue points. Background Technology

[0002] In modern power transmission systems, the safety and stability of conductors are paramount. Conductors experience continuous wind-induced vibrations under wind conditions. These vibrations are caused by the combined effects of wind speed, wind direction, and the conductor's own physical properties, and are particularly pronounced in environments with high wind speeds or frequent changes in wind direction. Over time, these continuous wind-induced vibrations can cause permanent micro-damage in localized areas of the conductor. While these micro-damages may not be immediately noticeable, they accumulate with continued wind-induced vibration, eventually leading to cracks and, in some cases, even sudden strand breakage.

[0003] Traditionally, power companies have relied on manual tower climbing for conductor inspection and maintenance. While this method can detect conductor fatigue and damage to some extent, it also has significant drawbacks. First, manual tower climbing carries a substantial risk of falls from height. Even a small mistake by workers inspecting at heights can lead to a serious accident. Furthermore, the area around power lines often poses a risk of ionizing radiation, potentially exposing workers to health threats. Moreover, manual inspections are physically demanding, requiring extremely high levels of physical fitness and professional skills. Workers not only need excellent physical condition but also require specialized training to ensure safe operation in such a high-risk environment. This high-intensity work not only increases labor costs but can also lead to worker fatigue, affecting the accuracy and efficiency of inspections.

[0004] In summary, existing methods for locating conductor wind-induced vibration fatigue points suffer from low efficiency and poor accuracy. Summary of the Invention

[0005] To address the issues of low efficiency and poor accuracy in existing methods for locating conductor wind-induced vibration fatigue points.

[0006] In a first aspect, the present invention proposes a method for locating conductor wind-induced vibration fatigue points, comprising: Based on the continuous pulsating load data of the conductor, the continuous pulsating load data is divided into multiple wind speed intervals; Typical pulsating loads are selected from the continuous pulsating load data in each wind speed range using statistical algorithms; Typical pulsating loads for each wind speed range are applied to the constructed finite element model of the conductor insulator, and the total cumulative damage rate of the conductor is calculated by the dynamic damage integration algorithm. The fatigue life of the conductor is obtained by evaluating the life based on the total cumulative damage rate. If the conductor is determined to be a high-risk section based on the fatigue life, then fatigue point investigation should be conducted on the conductor.

[0007] Preferably, the continuous pulsating load data based on the conductor is divided into multiple wind speed intervals, including: The time history of the pulsating load of the conductor is continuously measured by a three-dimensional wind-measuring lidar according to a preset measurement cycle, so as to obtain the continuous pulsating load data of the conductor under different wind speeds and wind directions recorded according to a preset acquisition time within the measurement cycle. The continuous pulsating load data is divided into preset wind speed ranges and stored to form continuous pulsating load data for multiple wind speed ranges.

[0008] Preferably, the step of selecting typical fluctuating loads from the continuous fluctuating load data in each wind speed range using a statistical algorithm includes: In the continuous pulsating load data of each wind speed range, the typical pulsating load with the largest average value and the typical pulsating load with the largest standard deviation are selected as the typical pulsating loads of that wind speed range.

[0009] Furthermore, the typical pulsating load for each wind speed range is applied to the constructed finite element model of the conductor insulator, and the total cumulative damage rate of the conductor is calculated using a dynamic damage integration algorithm, including: A finite element model of the conductor insulator is established based on the transmission line parameters corresponding to the conductor. In the finite element model of the conductor insulator, the maximum average typical pulsating load corresponding to each wind speed interval is applied, and the first cumulative damage rate value of each wind speed interval is calculated by the dynamic damage integral algorithm. In the finite element model of the conductor insulator, the maximum standard deviation typical pulsating load corresponding to each wind speed interval is applied, and the second cumulative damage rate value of each wind speed interval is calculated by the dynamic damage integral algorithm. Based on each wind speed range, the maximum value between the first cumulative damage rate value and the second cumulative damage rate value of the wind speed range is selected as the cumulative damage rate of the wind speed range. The total cumulative damage rate of the conductor is calculated using a cumulative damage algorithm based on the cumulative damage rate for each wind speed range.

[0010] Furthermore, the cumulative damage rate of the conductor is calculated using a cumulative damage algorithm based on the cumulative damage rate for each wind speed range, including: By statistically analyzing the probability of occurrence of different wind speeds under the prevailing wind direction in the area where the conductor is located, the probability of occurrence corresponding to each wind speed range is obtained. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

[0011] Furthermore, the functional expression for the total cumulative damage rate is: Dam year =∑(P i ×Dam i ) Among them, Dam year Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

[0012] Preferably, the step of assessing the lifespan of the conductor based on the total cumulative damage rate to obtain the fatigue life includes: The initial fatigue life of the conductor is calculated based on the total cumulative damage rate. The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is taken as the fatigue life of the conductor.

[0013] Furthermore, if the conductor is determined to belong to a high-risk section based on the fatigue life, then a fatigue point investigation is conducted on the conductor, including: When the fatigue life is less than a preset threshold, the conductor is determined to belong to a high-risk line segment. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

[0014] Secondly, this invention proposes a system for locating conductor wind-induced vibration fatigue points, comprising: The data classification module is used to divide the continuous pulsating load data of the conductor into multiple wind speed intervals based on the continuous pulsating load data of the conductor. The typical pulsating load selection module is used to select typical pulsating loads from continuous pulsating load data in each wind speed range using statistical algorithms. The Total Cumulative Damage Rate module is used to apply typical pulsating loads for each wind speed range to the constructed finite element model of the conductor insulator and calculate the total cumulative damage rate of the conductor using a dynamic damage integration algorithm. The fatigue life module is used to perform a life assessment based on the total cumulative damage rate to obtain the fatigue life of the conductor. The inspection module is used to determine whether the conductor belongs to a high-risk line section based on the fatigue life; if the conductor belongs to a high-risk line section, then fatigue point inspection is carried out on the conductor.

[0015] Preferably, the data classification module is specifically used to continuously measure the time history of the conductor's pulsating load using a three-dimensional wind load lidar according to a preset measurement cycle, and obtain continuous pulsating load data of the conductor at different wind speeds and wind directions recorded according to a preset acquisition time within the measurement cycle; The continuous pulsating load data is divided into preset wind speed ranges and stored to form continuous pulsating load data for multiple wind speed ranges.

[0016] Preferably, the typical pulsating load selection module is specifically used to select the maximum average typical pulsating load with the largest average value and the maximum standard deviation typical pulsating load with the largest standard deviation from the continuous pulsating load data of each wind speed range as the typical pulsating load of that wind speed range.

[0017] Preferably, the total cumulative damage rate module includes: The finite element submodule is used to establish a finite element model of the conductor insulator based on the transmission line parameters corresponding to the conductor. The first cumulative damage rate value submodule is used to apply the maximum average typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the first cumulative damage rate value of each wind speed interval using a dynamic damage integration algorithm. The second cumulative damage rate value submodule is used to apply the maximum standard deviation typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the second cumulative damage rate value for each wind speed interval using a dynamic damage integration algorithm. The cumulative damage rate calculation submodule is used to select the maximum value between the first cumulative damage rate value and the second cumulative damage rate value as the cumulative damage rate for each wind speed interval. The total cumulative damage rate calculation submodule is used to calculate the total cumulative damage rate of the conductor based on the cumulative damage rate of each wind speed range using a cumulative damage algorithm.

[0018] Furthermore, the total cumulative damage rate calculation submodule is specifically used to obtain the occurrence probability corresponding to each wind speed interval by statistically analyzing the occurrence probability of different wind speeds under the prevailing wind direction in the area where the conductor is located. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

[0019] Furthermore, the functional expression for the total cumulative damage rate is: Dam year =∑(Pi ×Dam i ) Among them, Dam year Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

[0020] Furthermore, the fatigue life module is specifically used to calculate the initial fatigue life of the conductor based on the total cumulative damage rate. The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is used as the fatigue life of the conductor.

[0021] Furthermore, the screening module is specifically used to determine that the conductor belongs to a high-risk line segment when the fatigue life is less than a preset threshold. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

[0022] Furthermore, this application also provides a computing device, comprising: one or more processors; A processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, a method for identifying conductor wind vibration fatigue points as described above is implemented.

[0023] In another aspect, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the above-described method for identifying conductor wind vibration fatigue points.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a method and system for identifying conductor wind-induced fatigue points. It divides continuous pulsating load data into multiple wind speed intervals; uses statistical algorithms to select typical pulsating loads from the continuous pulsating load data in each wind speed interval; constructs a finite element model of the conductor insulator and applies the corresponding typical pulsating load to calculate the total cumulative damage rate of the conductor; performs a life assessment based on the total cumulative damage rate to obtain the conductor's fatigue life; if the fatigue life determines that the conductor belongs to a high-risk line section, then fatigue point identification is performed on the conductor. This method acquires pulsating load data of the conductor at different wind speeds and directions in real time without interfering with line operation, improving data accuracy and significantly reducing reliance on manual labor. By partitioning and statistically analyzing the measured wind load data, typical pulsating load characteristics can be effectively extracted, leading to the establishment of a finite element model, calculation of the conductor's cumulative damage rate, and thus calculation of the conductor's fatigue life. This not only improves detection efficiency but also enhances the accuracy of fatigue life calculation, reduces the workload of manual inspections, and promptly detects potential fatigue damage, thereby providing strong protection for the safe operation of power lines. Attached Figure Description

[0025] Figure 1 This is a flowchart of a method for identifying conductor wind vibration fatigue points according to Embodiment 1 of the present invention; Figure 2 This is a flowchart illustrating the specific implementation of a method for identifying conductor wind vibration fatigue points in Embodiment 1 of the present invention. Figure 3 This is a schematic diagram of a conductor wind vibration fatigue point detection system according to Embodiment 2 of the present invention; Figure 4 This is a schematic diagram of the electronic device in Embodiment 3 of the present invention. Detailed Implementation

[0026] Example 1: This invention provides a method for locating conductor wind-induced vibration fatigue points, such as... Figure 1 As shown, it includes: Step S1: Based on the continuous pulsating load data of the conductor, the continuous pulsating load data is divided into multiple wind speed intervals; Step S2: Select typical pulsating loads from the continuous pulsating load data in each wind speed range using statistical algorithms; Step S3: Apply typical pulsating loads for each wind speed range to the constructed conductor insulator finite element model, and calculate the total cumulative damage rate of the conductor using a dynamic damage integration algorithm. Step S4: Based on the total cumulative damage rate, perform a life assessment to obtain the fatigue life of the conductor; Step S5: If the conductor is determined to be a high-risk line segment based on the fatigue life, then fatigue point investigation is carried out on the conductor.

[0027] This invention provides a method for identifying conductor wind-induced fatigue points. It involves dividing continuous pulsating load data into multiple wind speed intervals; using statistical algorithms to select typical pulsating loads from the continuous pulsating load data in each wind speed interval; constructing a finite element model of the conductor insulator and applying the corresponding typical pulsating load to calculate the total cumulative damage rate of the conductor; performing a life assessment based on the total cumulative damage rate to obtain the conductor's fatigue life; and if the conductor is determined to belong to a high-risk line section based on the fatigue life, then fatigue point identification is performed on the conductor. This method acquires pulsating load data of the conductor in real time under different wind speeds and directions without interfering with line operation, improving data accuracy and significantly reducing reliance on manual labor. By partitioning and statistically analyzing the measured wind load data, typical pulsating load characteristics can be effectively extracted, leading to the establishment of a finite element model, calculation of the conductor's cumulative damage rate, and thus calculation of the conductor's fatigue life. This method not only improves detection efficiency but also enhances the accuracy of fatigue life calculation, reduces the workload of manual inspections, and promptly detects potential fatigue damage, thereby providing strong protection for the safe operation of power lines.

[0028] This invention provides a rapid assessment method for conductor fatigue life that does not rely on wind-induced vibration patterns. This method directly acquires the time history of pulsating loads using high-precision lidar, and employs typical load extraction technology based on wind speed zones and a weighted calculation model of cumulative damage rate (Dam value). When the remaining life is ≤5%, precise X-ray inspection is triggered. This improves the accuracy of fatigue life calculation by over 90% and reduces manual inspection workload by 80%.

[0029] This invention provides a rapid method for identifying conductor wind-induced fatigue points regardless of the type of wind-induced vibration. This method is particularly suitable for areas with high wind speeds and frequent wind direction changes, such as coastal areas, mountainous regions, or open plains. Lines in these areas are easily affected by wind-induced vibration and therefore require regular inspection of conductor fatigue conditions. This method can effectively and quickly identify conductor wind-induced fatigue points, ensuring the safety and stability of the line.

[0030] Specifically, step S1 in this embodiment of the invention includes: The pulsating load time history of the conductor is continuously measured by a three-dimensional wind-measuring lidar according to a preset measurement cycle. Within the measurement cycle, continuous pulsating load data of the conductor at different wind speeds and wind directions is obtained according to a preset acquisition time. The continuous pulsating load data is then partitioned and stored according to a preset wind speed range to form continuous pulsating load data for multiple wind speed ranges.

[0031] Further explanation is needed: this invention first employs a high-precision three-dimensional wind load lidar (i.e., a three-dimensional wind measurement lidar) to continuously measure the time history of conductor pulsating loads. This device can capture the impact of wind loads on conductors in real time without interfering with line operation. The measurement period is one year, and average wind speed and direction data are recorded every 10 minutes simultaneously. To facilitate subsequent analysis, wind speeds are divided into zones at 2 m / s intervals. For example, wind speeds can be divided into multiple intervals such as 1-3 m / s and 3-5 m / s, and the corresponding pulsating load time history data is stored in the corresponding zones. Simultaneously, the number of samples Ni within each wind speed interval is counted. 10min (Record the constant number of samples per 10 minutes) for subsequent statistical analysis.

[0032] Specifically, step S2 in this embodiment of the invention includes: In the continuous pulsating load data of each wind speed range, the typical pulsating load with the largest average value and the typical pulsating load with the largest standard deviation are selected as the typical pulsating loads of that wind speed range.

[0033] It should be further explained that the typical pulsating load extraction of this invention involves statistical analysis of the pulsating load time history within each wind speed interval after the wind load is partitioned and stored. During this process, the two 10-minute pulsating load time history data points with the largest average value and the largest standard deviation are selected as the typical pulsating loads for that wind speed interval. This process requires iterative processing of all wind speed intervals to ensure that each interval has representative typical load data. These typical pulsating loads will provide the basic data for subsequent finite element simulation analysis. The largest average value indicates the largest average stress level, and the largest standard deviation indicates the largest dynamic stress level.

[0034] Specifically, step S3 in this embodiment of the invention includes: Step S31: Establish a finite element model of the conductor insulator based on the transmission line parameters corresponding to the conductor; Step S32: Apply the maximum average typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and use the dynamic damage integration algorithm to calculate the first cumulative damage rate value of each wind speed interval. Step S33: Apply the maximum standard deviation typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and use the dynamic damage integration algorithm to calculate the second cumulative damage rate value of each wind speed interval. Step S34: Based on each wind speed range, select the maximum value between the first cumulative damage rate value and the second cumulative damage rate value of the wind speed range as the cumulative damage rate of the wind speed range. Step S35: Calculate the total cumulative damage rate of the conductor using a cumulative damage algorithm based on the cumulative damage rate of each wind speed range.

[0035] It should be further explained that the calculation of the cumulative damage rate (i.e., Dam value) of the present invention first establishes a finite element model of the conductor-insulator suspension to simulate the actual stress situation of the conductor.

[0036] The finite element model is established based on the line parameters. In the model, the maximum mean typical pulsating load corresponding to each wind speed interval is first applied, and the stress-time history curve at 40cm from the conductor clamp is calculated. This is generally where stress concentration occurs. Then, the maximum standard deviation typical pulsating load is applied, and the stress-time history at the same location is calculated.

[0037] To better analyze stress cycling, the rainflow counting method was used to count the number of stress cycles. Based on Miner's cumulative damage theory and the Wöhler safety curve, piecewise integration was performed to calculate the cumulative damage rate over 10 minutes. Finally, Dam = max(Dammean, Damstd) was taken as the representative value for this wind speed range. Here, Dammean is the first cumulative damage rate calculated by applying the maximum mean typical fluctuating load; Damstd is the second cumulative damage rate calculated by applying the maximum standard deviation typical fluctuating load. The maximum value between the first and second cumulative damage rates was selected as the cumulative damage rate for the corresponding wind speed range.

[0038] The specific calculation process involves finite element simulation analysis, calculating both the maximum average wind load and the maximum fluctuating wind load, and taking the larger one as the damage value caused by the load time history. Only the stress time history curve at the conductor's outlet clamp 40cm is calculated; other sections can generally be disregarded. A high-risk section refers to the outlet clamp location within a specific line segment. Finite element simulation of the conductor requires segmented element creation.

[0039] Specifically, step S35 of this embodiment of the invention includes: By statistically analyzing the probability of occurrence of different wind speeds under the prevailing wind direction in the area where the conductor is located, the probability of occurrence corresponding to each wind speed range is obtained. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

[0040] It needs further explanation that the probability P of different wind speeds under the prevailing wind direction in the area where the line is located is calculated. i By performing statistical analysis, the total annual Dam value can be calculated. Among these, Dam... i Let be the Dam value for the i-th wind speed interval. Let P be the probability of occurrence for each wind speed interval. iIt is based on statistics of meteorological data along the route, which is the proportion of each wind speed range in the annual wind speed record sample.

[0041] Further explanation is needed regarding the functional expression for the total cumulative damage rate: Dam year =∑(P i ×Dam i ) Among them, Dam year Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

[0042] Specifically, step S4 in this embodiment of the invention includes: The initial fatigue life of the conductor is calculated based on the total cumulative damage rate. The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is taken as the fatigue life of the conductor.

[0043] It should be further explained that the initial fatigue life (Linitial) of the line is estimated based on the total annual Dam value. By subtracting the line's operating years, the remaining fatigue life (Lremain = Linitial) can be obtained. Service life. When the remaining service life is less than 5%, which serves as an alarm threshold, the line segment will be marked as a high-risk segment, prompting relevant departments to pay close attention. For example, if the total service life is 1, subtracting the cumulative damage rate of each year, say 0.96, the remaining service life is 0.04.

[0044] Specifically, step S5 in this embodiment of the invention includes: When the fatigue life is less than a preset threshold, the conductor is determined to belong to a high-risk line segment. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

[0045] It should be further explained that X-ray non-destructive testing will be conducted on the initially identified high-risk line sections. This technology, by imaging the conductor cross-section, can effectively determine the actual damage condition of the conductor's internal cross-section. Compared with traditional manual inspection methods, X-ray non-destructive testing can significantly reduce the workload of manual inspection and improve the accuracy and efficiency of testing. In this way, potential fatigue damage can be detected in a timely manner, ensuring the safe operation of the line.

[0046] This invention proposes a rapid method for identifying conductor fatigue points regardless of wind vibration morphology. This method aims to improve the accuracy of fatigue life calculation and reduce the workload of manual inspections by utilizing high-precision measurement technology and data analysis. Utilizing advanced high-precision three-dimensional wind load lidar technology, it is possible to acquire real-time pulsating load data of conductors under different wind speeds and directions without interfering with line operation. This method not only improves data accuracy but also significantly reduces reliance on manual labor. By partitioning and statistically analyzing the measured wind load data, typical pulsating load characteristics can be effectively extracted, allowing for the establishment of a finite element model to calculate the cumulative damage rate of the conductor. This process not only improves detection efficiency but also enables the timely detection of potential fatigue damage, thus providing strong protection for the safe operation of power lines.

[0047] The following section uses specific application examples to introduce a rapid method for locating conductor wind-induced vibration fatigue points without distinguishing between wind-induced vibration patterns, such as... Figure 2 As shown.

[0048] (1) Wind load measurement and zoning classification (i.e., in step S1, the continuous pulsating load data of the conductor is obtained by three-dimensional wind measurement lidar, and the continuous pulsating load data is divided into multiple wind speed intervals) 1) Equipment deployment: To improve the accuracy of analysis, based on the principles of spatial proximity (preferential selection of meteorological stations closer to the conductor), data integrity (selection of meteorological stations with more valid data records) and the number of days with the most strong winds, 10 representative meteorological stations were selected from all meteorological stations. Three three-dimensional lidars (sampling frequency 20Hz) were deployed at the center of the span and at 1 / 3 span point, and meteorological stations were installed simultaneously to record wind direction.

[0049] 2) Data Acquisition: Raw wind pressure time histories were continuously collected for 12 months and stored in 10-minute segments (single segment data volume: 10min × 60s × 20Hz = 12,000 points). Quality control was performed on the raw data to remove outliers and invalid records, ensuring data reliability, and extracting information from all valid stations.

[0050] 3) Wind speed zones: Wind speed intervals are divided into: [1-3], [3-5], ..., [29-31] m / s (a total of 15 intervals).

[0051] Statistical sample size: For example, N=287 valid time histories were obtained cumulatively for the interval [17-19) m / s.

[0052] A database containing 21,000 load time histories has been built, as shown in Table 1.

[0053] Table 1. Statistical Table of Wind Speed ​​Zones

[0054] This invention establishes a precise analysis system based on "dual-index screening of typical loads + zoned data processing," breaking through the limitations of traditional measurements that require differentiation of wind vibration patterns. It utilizes a high-precision three-dimensional wind load lidar to simultaneously collect data on line pulsating loads, average wind speed, and wind direction over an annual period. Data is stored in zones with wind speed intervals of 2 m / s. Innovatively, it uses the dual indices of "maximum average value" and "maximum standard deviation" to screen typical pulsating loads in each interval. This solves the problems of short measurement cycles and single parameters in traditional methods, and comprehensively captures the key characteristics of load influence on conductor fatigue through dual indices, providing accurate data support for subsequent damage calculations. This invention constructs an efficient closed-loop inspection system combining "probability-weighted fatigue assessment + X-ray non-destructive testing." Based on a finite element simulation model and the location of the most unfavorable section, it calculates the damage rate for each wind speed range using rainflow counting and Miner's cumulative damage theory. Then, it obtains the annual total damage rate and quantifies the remaining fatigue life (those with less than 5% of the initial life are considered high-risk) by weighting the probability of occurrence of the prevailing wind direction and speed. Finally, it verifies the internal damage of high-risk road sections through X-ray non-destructive testing. This system achieves a scientific and quantitative transformation from "data calculation" to "life assessment," and significantly reduces manual workload through "screening before inspection," solving the pain points of low efficiency and ambiguous risk assessment in traditional inspection methods.

[0055] (2) Extraction of typical pulsating loads (i.e., in step S2, typical pulsating loads are selected from the continuous pulsating load data in each wind speed range using statistical algorithms). 1) Interval statistical analysis: Calculation of 287 time history segments in the interval [21-23] m / s The mean distribution range is 18.6~24.3 kN.

[0056] Standard deviation range: 3.8~7.1 kN.

[0057] 2) Typical time schedule screening: Mean maximum typical load: Select The time history with a maximum value of 24.3 kN (number WT21_153).

[0058] Maximum typical load with standard deviation: Select time history (number WT21_042) with σ_max = 7.1kN.

[0059] 3) Feature verification: The standard deviation load power spectrum shows a significant peak at 1-2 Hz (corresponding to the conductor's natural frequency). Fifteen sets of dual typical loads were generated; key parameters are shown in Table 2. Table 2 Typical Load Parameters

[0060] This invention proposes a "dual-index screening-spectral morphology enhancement" technology chain, which solves the problem of extracting typical working conditions caused by the non-stationary characteristics of strong wind loads.

[0061] A dual-criteria screening mechanism was adopted: the load with the largest mean (reflecting the steady-state component) and the largest standard deviation (reflecting the pulsation intensity) was extracted in parallel for each wind speed range. For example, the impact load (TY_0928_1545) with σ=14.3kN was captured in the [33, 35) m / s range, and its single peak force reached 58kN (Table 2).

[0062] Load characteristic enhancement is employed: By using db8 wavelet packet decomposition, the energy of the 1-3Hz conductor resonant frequency band is specifically enhanced, increasing the critical load identification rate from 72% in the traditional method to 100%.

[0063] (3) Calculation of total cumulative damage rate (i.e., in step S3, a typical pulsating load of each wind speed range is applied to the constructed conductor insulator finite element model, and the total cumulative damage rate of the conductor is calculated by the dynamic damage integration algorithm) Finite element modeling: Establish a model of LGJ-400 / 50 conductor + FXBW4 insulator string (span 450m).

[0064] Constraint point: 40cm from the clamp exit (stress monitoring point A).

[0065] Load application and response calculation:

[0066] 1. Multi-scale simulation: A macroscopic model with a full span of 580m and a microscopic model of the clamp area with a mesh accuracy of 0.5mm are established. The dynamic equations are solved by the Newmark-β method to accurately capture the stress concentration at 40cm from the clamp exit.

[0067] 2. Dynamic Damage Integration: For the high-stress zone of 158.2 MPa, 286 cycles >100 MPa were extracted using the rainflow counting method. Combined with piecewise integration of the SN curve, 10... -5 Precise calculation of damage at the order of magnitude.

[0068] 1) Analyze local meteorological data for the past 10 years:

[0069] Cumulative damage theory and safety curve: The fatigue life assessment of conductors was conducted using the standard methods recommended by the International Conference on Large Electric Systems (CIGRE). A calculation model for wind-induced vibration fatigue damage was established based on Miner's linear cumulative damage theory and combined with Wöhler safety curves.

[0070] The analytical formula for fitting steel-cored aluminum stranded wire to the Wöhler safety curve of conductors is as follows:

[0071] in, The stress amplitude is expressed in MPa, and N represents the number of stress cycles.

[0072] According to Miner's cumulative damage calculation theory, the fatigue reliability assessment index for transmission line structures is defined as: Let be the damage rate under stress level i, and let the damage rates under different stress levels be linearly superimposed to obtain the total damage rate. .

[0073] When the total damage rate If the value reaches 1, the component is considered to be damaged. The calculation formula is:

[0074] in, Let be the number of cycles of alternating stress when the stress variation range is ; The number of alternating stress cycles reached when the conductor fails within the range of stress variation can be obtained from the Wöhler curve.

[0075] The mechanical simulation analysis software provides stress time history curves. Then, the rainflow counting method is used to calculate the number of fatigue cycles corresponding to each stress level in a certain wind speed range. The cycles are then accumulated according to the probability of occurrence in the wind speed range, and finally divided by the maximum allowable number of cycles when the conductor fails at each stress level to obtain the damage rate.

[0076] Finally, based on probabilistic statistical methods, the fatigue damage values ​​of each wind speed range are weighted and superimposed with their corresponding occurrence probabilities to obtain the total annual cumulative fatigue damage Dam of the conductor under random wind load, and its lifespan is 1 / Dam.

[0077] The calculation table for the total annual damage contribution is shown in Table 3.

[0078] Table 3 Calculation of Total Annual Damage Contribution

[0079] (4) Conductor life assessment (i.e., the life assessment is performed based on the total cumulative damage rate in step S4 to obtain the fatigue life of the conductor).

[0080] Lifespan determination: The initial fatigue life of the conductor is 40 years (according to GB 50545).

[0081] It has been running for 12 years: Lremain = 40 - 12 - (0.182)^{-1}×12 = 10.4 years.

[0082] High-risk threshold: 0.05 × 40 = 2 years → Lremain > 2 years, safe.

[0083] Through the "probability-damage convolution integral + four-level early warning" mechanism, accurate spatial prediction of remaining lifetime was achieved.

[0084] (5) Precise investigation (i.e., if the conductor is determined to be a high-risk line section based on the fatigue life in step S5, then fatigue point investigation is carried out on the conductor).

[0085] 1) Targeted detection: For Dam year X-ray inspection was carried out on the three tower sections (#87, #112, #204) with a diameter >0.15. 2) Damage identification: A DR digital imaging system (50μm resolution) is used.

[0086] #112 Tower Clamp Outlet Imaging Display: Internal broken strands: 2 (total cross-sectional loss rate 4.3%).

[0087] Crack length: 1.8 mm.

[0088] 3) Decision-making: If damage is found, the item must be replaced immediately.

[0089] The non-destructive testing report for the high-risk section provided guidance on replacing the conductor of tower #112.

[0090] The systematic wind speed range division method employed in this embodiment of the invention, combined with typical load extraction technology, can more accurately capture the load characteristics of conductors under different wind speed conditions, thereby improving the accuracy of fatigue assessment. This avoids the problem that existing wind-induced conductor fatigue calculation methods often lack detailed wind speed range division, leading to the inability to accurately extract typical load characteristics under different wind speeds, thus affecting the accuracy of fatigue damage assessment.

[0091] The Dam value calculation process under dual load conditions adopted in this embodiment of the invention can simultaneously consider the effects of multiple load conditions, providing a more comprehensive fatigue damage assessment and thus improving conductor safety. This avoids the problem that traditional fatigue assessment methods typically only consider a single load condition, failing to fully reflect the true fatigue condition of the conductor under complex wind-induced vibration environments, leading to inaccurate calculations of the cumulative damage rate. The X-ray precision triggering mechanism based on remaining fatigue life employed in this embodiment of the invention can automatically trigger X-ray detection when a specific Dam value is detected, ensuring that high-risk areas are assessed and addressed in a timely manner. This avoids the situation where the lack of an effective early warning mechanism in conductor fatigue detection leads to the failure to identify fatigue damage in high-risk line sections in a timely manner, increasing the risk of failure.

[0092] The coupled system of lidar measurement and finite element simulation used in this embodiment of the invention improves the accuracy and reliability of fatigue assessment by combining measured data and simulation results, providing a more solid basis for the safety management of conductors. This avoids the current fatigue assessment methods that often rely on a single data source and lack the combination of measured data and theoretical models, leading to insufficient reliability of the assessment results.

[0093] Example 2: Based on the same inventive concept, this invention also provides a system for locating conductor wind-induced vibration fatigue points, such as... Figure 3 As shown, it includes: The data classification module is used to divide the continuous pulsating load data of the conductor into multiple wind speed intervals.

[0094] The typical pulsating load selection module is used to select typical pulsating loads from continuous pulsating load data in each wind speed range using statistical algorithms.

[0095] The Total Cumulative Damage Rate module is used to apply typical pulsating loads for each wind speed range to the constructed finite element model of the conductor insulator and calculate the total cumulative damage rate of the conductor using a dynamic damage integration algorithm.

[0096] The fatigue life module is used to perform a life assessment based on the total cumulative damage rate to obtain the fatigue life of the conductor.

[0097] The inspection module is used to determine whether the conductor belongs to a high-risk line section based on the fatigue life; if the conductor belongs to a high-risk line section, then fatigue point inspection is carried out on the conductor.

[0098] Specifically, in this embodiment of the invention, the data classification module is used to continuously measure the time history of the conductor's pulsating load according to a preset measurement cycle using a three-dimensional wind load lidar, and obtain continuous pulsating load data of the conductor at different wind speeds and wind directions recorded according to a preset acquisition time within the measurement cycle; The continuous pulsating load data is divided into preset wind speed ranges and stored to form continuous pulsating load data for multiple wind speed ranges.

[0099] Specifically, in this embodiment of the invention, the typical pulsating load selection module is used to select the maximum average typical pulsating load with the largest average value and the maximum standard deviation typical pulsating load with the largest standard deviation from the continuous pulsating load data of each wind speed range as the typical pulsating load of that wind speed range.

[0100] Specifically, the total cumulative damage rate module in this embodiment of the invention includes: The finite element submodule is used to establish a finite element model of the conductor insulator based on the transmission line parameters corresponding to the conductor. The first cumulative damage rate value submodule is used to apply the maximum average typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the first cumulative damage rate value of each wind speed interval using a dynamic damage integration algorithm. The second cumulative damage rate value submodule is used to apply the maximum standard deviation typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the second cumulative damage rate value for each wind speed interval using a dynamic damage integration algorithm. The cumulative damage rate calculation submodule is used to select the maximum value between the first cumulative damage rate value and the second cumulative damage rate value as the cumulative damage rate for each wind speed interval. The total cumulative damage rate calculation submodule is used to calculate the total cumulative damage rate of the conductor based on the cumulative damage rate of each wind speed range using a cumulative damage algorithm.

[0101] It should be further explained that, in this embodiment of the invention, the total cumulative damage rate calculation submodule is specifically used to obtain the probability of occurrence for each wind speed interval by statistically analyzing the probability of occurrence of different wind speeds under the prevailing wind direction in the area where the conductor is located. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

[0102] Specifically, the functional expression for the total cumulative damage rate in this embodiment of the invention is as follows: Dam year =∑(P i ×Dam i ) Among them, Damyear Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

[0103] Specifically, in this embodiment of the invention, the fatigue life module is used to calculate the initial fatigue life of the conductor based on the total cumulative damage rate; The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is used as the fatigue life of the conductor.

[0104] Specifically, in this embodiment of the invention, the screening module is used to determine that the conductor belongs to a high-risk line segment when the fatigue life is less than a preset threshold. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

[0105] This invention provides a rapid identification system for conductor wind-induced vibration fatigue points. Through high-precision wind load measurement, extraction of typical pulsating loads, calculation of cumulative damage rate, and accurate non-destructive testing, it offers a systematic approach to conductor safety monitoring. This not only improves detection efficiency and accuracy but also effectively assesses conductor fatigue conditions in environments with high wind speeds and frequent wind direction changes. Precise identification of high-risk sections can minimize the impact of wind-induced vibration on conductors, ensuring the safe and stable operation of power lines.

[0106] Example 3: Based on the same inventive concept, such as Figure 4 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0107] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the conductor wind vibration fatigue point investigation method in the above embodiment.

[0108] Example 4: Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both built-in storage media within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can implement the steps of the wire wind vibration fatigue point investigation method in the above embodiments.

[0109] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0110] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0111] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0112] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0113] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for locating fatigue points caused by wind vibration in conductors, characterized in that, include: Based on the continuous pulsating load data of the conductor, the continuous pulsating load data is divided into multiple wind speed intervals; Typical pulsating loads are selected from the continuous pulsating load data in each wind speed range using statistical algorithms; Typical pulsating loads for each wind speed range are applied to the constructed finite element model of the conductor insulator, and the total cumulative damage rate of the conductor is calculated by the dynamic damage integration algorithm. The fatigue life of the conductor is obtained by evaluating the life based on the total cumulative damage rate. If the conductor is determined to be a high-risk section based on the fatigue life, then fatigue point investigation should be conducted on the conductor.

2. The method according to claim 1, characterized in that, The continuous pulsating load data based on the conductor is divided into multiple wind speed intervals, including: The time history of the pulsating load of the conductor is continuously measured by a three-dimensional wind-measuring lidar according to a preset measurement cycle, so as to obtain the continuous pulsating load data of the conductor under different wind speeds and wind directions recorded according to a preset acquisition time within the measurement cycle. The continuous pulsating load data is divided into preset wind speed ranges and stored to form continuous pulsating load data for multiple wind speed ranges.

3. The method according to claim 1, characterized in that, The method of selecting typical fluctuating loads from continuous fluctuating load data in each wind speed range using statistical algorithms includes: In the continuous pulsating load data of each wind speed range, the typical pulsating load with the largest average value and the typical pulsating load with the largest standard deviation are selected as the typical pulsating loads of that wind speed range.

4. The method according to claim 3, characterized in that, The process involves applying typical pulsating loads for each wind speed range to the constructed finite element model of the conductor insulator, and calculating the total cumulative damage rate of the conductor using a dynamic damage integration algorithm, including: A finite element model of the conductor insulator is established based on the transmission line parameters corresponding to the conductor. In the finite element model of the conductor insulator, the maximum average typical pulsating load corresponding to each wind speed interval is applied, and the first cumulative damage rate value of each wind speed interval is calculated by the dynamic damage integral algorithm. In the finite element model of the conductor insulator, the maximum standard deviation typical pulsating load corresponding to each wind speed interval is applied, and the second cumulative damage rate value of each wind speed interval is calculated by the dynamic damage integral algorithm. Based on each wind speed range, the maximum value between the first cumulative damage rate value and the second cumulative damage rate value of the wind speed range is selected as the cumulative damage rate of the wind speed range. The total cumulative damage rate of the conductor is calculated using a cumulative damage algorithm based on the cumulative damage rate for each wind speed range.

5. The method according to claim 4, characterized in that, The cumulative damage rate based on each wind speed range is calculated using a cumulative damage algorithm to determine the total cumulative damage rate of the conductor, including: By statistically analyzing the probability of occurrence of different wind speeds under the prevailing wind direction in the area where the conductor is located, the probability of occurrence corresponding to each wind speed range is obtained. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

6. The method according to claim 5, characterized in that, The functional expression for the total cumulative damage rate is: I will give year =∑(P i ×I'll give i ) Among them, Dam year Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

7. The method according to claim 1, characterized in that, The fatigue life of the conductor is obtained by evaluating its lifespan based on the total cumulative damage rate, including: The initial fatigue life of the conductor is calculated based on the total cumulative damage rate. The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is taken as the fatigue life of the conductor.

8. The method according to claim 1, characterized in that, If the conductor is determined to belong to a high-risk section based on the fatigue life, then a fatigue point investigation is conducted on the conductor, including: When the fatigue life is less than a preset threshold, the conductor is determined to belong to a high-risk line segment. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

9. A system for locating conductor wind-induced vibration fatigue points, characterized in that, include: The data classification module is used to divide the continuous pulsating load data of the conductor into multiple wind speed intervals based on the continuous pulsating load data of the conductor. The typical pulsating load selection module is used to select typical pulsating loads from continuous pulsating load data in each wind speed range using statistical algorithms. The Total Cumulative Damage Rate module is used to apply typical pulsating loads for each wind speed range to the constructed finite element model of the conductor insulator and calculate the total cumulative damage rate of the conductor using a dynamic damage integration algorithm. The fatigue life module is used to perform a life assessment based on the total cumulative damage rate to obtain the fatigue life of the conductor. The screening module is used to determine whether the conductor belongs to a high-risk line segment based on the fatigue life. If the conductor belongs to a high-risk section, then fatigue points should be investigated for the conductor.

10. The system according to claim 9, characterized in that, The data classification module is specifically used to continuously measure the time history of the conductor's pulsating load according to a preset measurement cycle using a three-dimensional wind load lidar, and obtain continuous pulsating load data of the conductor at different wind speeds and wind directions recorded according to a preset acquisition time within the measurement cycle. The continuous pulsating load data is divided into preset wind speed ranges and stored to form continuous pulsating load data for multiple wind speed ranges.

11. The system according to claim 9, characterized in that, The typical pulsating load selection module is specifically used to select the maximum average typical pulsating load with the largest average value and the maximum standard deviation typical pulsating load with the largest standard deviation from the continuous pulsating load data in each wind speed range as the typical pulsating load for that wind speed range.

12. The system according to claim 11, characterized in that, The total cumulative damage rate module includes: The finite element submodule is used to establish a finite element model of the conductor insulator based on the transmission line parameters corresponding to the conductor. The first cumulative damage rate value submodule is used to apply the maximum average typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the first cumulative damage rate value of each wind speed interval using a dynamic damage integration algorithm. The second cumulative damage rate value submodule is used to apply the maximum standard deviation typical pulsating load corresponding to each wind speed interval to the finite element model of the conductor insulator, and to calculate the second cumulative damage rate value for each wind speed interval using a dynamic damage integration algorithm. The cumulative damage rate calculation submodule is used to select the maximum value between the first cumulative damage rate value and the second cumulative damage rate value as the cumulative damage rate for each wind speed interval. The total cumulative damage rate calculation submodule is used to calculate the total cumulative damage rate of the conductor based on the cumulative damage rate of each wind speed range using a cumulative damage algorithm.

13. The system according to claim 12, characterized in that, The total cumulative damage rate calculation submodule is specifically used to obtain the probability of occurrence for each wind speed interval by statistically analyzing the probability of occurrence of different wind speeds under the prevailing wind direction in the area where the conductor is located. Based on the occurrence probability corresponding to each wind speed range, and combined with the cumulative damage rate of each wind speed range, the total cumulative damage rate of the conductor is calculated.

14. The system according to claim 13, characterized in that, The functional expression for the total cumulative damage rate is: I will give year =∑(P i ×I'll give i ) Among them, Dam year Total cumulative damage rate; Dam i P represents the cumulative damage rate corresponding to the i-th wind speed interval; i Let be the probability of occurrence corresponding to the i-th wind speed interval.

15. The system according to claim 9, characterized in that, The fatigue life module is specifically used to calculate the initial fatigue life of the conductor based on the total cumulative damage rate. The remaining fatigue life is calculated based on the initial fatigue life and the operating years of the transmission line corresponding to the conductor, and the remaining fatigue life is used as the fatigue life of the conductor.

16. The system according to claim 9, characterized in that, The investigation module is specifically used to determine that the conductor belongs to a high-risk line segment when the fatigue life is less than a preset threshold. X-ray non-destructive testing was performed on the conductors in high-risk sections to obtain the internal cross-sectional data of the conductors; Based on the internal cross-sectional data of the conductor, the fatigue points of the conductor are identified; The preset threshold is not less than 5% of the initial fatigue life.

17. A computer device, characterized in that, include: One or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, a method for identifying conductor wind vibration fatigue points as described in any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements a method for identifying conductor wind vibration fatigue points as described in any one of claims 1 to 8.

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