A power transmission line galloping monitoring method and system, a storage medium and an electronic device

Abstract

The application relates to a power transmission line galloping monitoring method and system, a storage medium and an electronic device, and relates to the technical field of galloping monitoring. The method comprises the following steps: according to an actual icing state, determining whether the icing in a to-be-monitored intra-span line reaches a galloping inducing condition; when the icing in the to-be-monitored intra-span line reaches the galloping inducing condition, based on actual galloping parameters, the actual icing state and actual environmental parameters, when the to-be-monitored intra-span line has a galloping risk, verifying the existence of the galloping risk of the to-be-monitored intra-span line. When the existence verification of the galloping risk of the to-be-monitored intra-span line is passed, the initial risk score of the galloping risk of the to-be-monitored intra-span line is determined; according to an actual terrain type, the initial risk score is adjusted and optimized to obtain a target risk score, the target risk score is further optimized to obtain a suitable risk score, and warning information is sent accordingly. The application has the effect of improving the galloping monitoring accuracy of the power transmission line.

Description

Technical Field

[0001] This application relates to the field of galloping monitoring technology, specifically to a method, system, storage medium, and electronic device for monitoring galloping of transmission lines. Background Technology

[0002] Transmission lines are the entire power infrastructure connecting power plants and substations, enabling long-distance, high-capacity power transmission at high voltage, ultra-high voltage, and extra-high voltage levels. They mainly consist of towers, conductors, lightning protection wires, insulator strings, various hardware fittings, grounding devices, and auxiliary facilities, undertaking the core functions of inter-regional power transmission and power grid interconnection. The safe and stable operation of transmission lines is directly related to the reliability of the entire power system and the normal operation of the social economy. However, transmission lines are exposed to the natural environment for extended periods and are susceptible to severe weather conditions such as ice, snow, and strong winds, leading to conductor galloping. Conductor galloping refers to a large-amplitude, low-frequency self-excited vibration phenomenon that occurs in transmission lines under specific conditions. Its vibration frequency is typically 0.1-1 Hz, and the amplitude can range from tens of centimeters to 10-12 meters. The galloping trajectory is often elliptical and frequently accompanied by conductor torsion. It involves enormous energy and poses a serious threat to transmission lines. Therefore, galloping monitoring is of paramount importance for the safe and stable operation of transmission lines.

[0003] Currently, the common method for monitoring transmission line galloping is to monitor the galloping parameters of the conductors in real time. Once the galloping parameters are abnormal, it is determined that there is a risk of galloping and an early warning is issued in time. However, there are many factors associated with the occurrence of transmission line galloping, and monitoring only the galloping parameters, a single dimension of data, makes the accuracy of transmission line galloping monitoring poor. Summary of the Invention

[0004] To improve the accuracy of transmission line galloping monitoring, this application provides a transmission line galloping monitoring method, system, storage medium, and electronic device.

[0005] The first aspect of this application provides a method for monitoring transmission line galloping, specifically including: Obtain the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and obtain the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located; Based on the actual icing parameters, determine the actual icing state corresponding to the actual icing location, and based on the actual icing state, determine whether the icing in the line within the monitored section meets the conditions for galloping. When the icing in the line within the monitored section reaches the galloping induction condition, based on the actual galloping parameters, the actual icing state, and the actual environmental parameters, it is determined whether there is a galloping risk in the line within the monitored section. If there is a galloping risk in the line within the monitored section, the existence of the galloping risk in the line within the monitored section is verified. When the verification of the existence of galloping risk of the line in the monitored section passes, the initial risk score of the galloping risk of the line in the monitored section is determined. Based on the actual terrain type, the initial risk score is adjusted and optimized to obtain the target risk score; Based on the reference end swing angle data of the upstream section line and the reference beginning swing angle data of the downstream section line, the target risk score is adjusted and optimized to obtain a suitable risk score. Based on the suitable risk score, an early warning message is sent to the terminal of the operation and maintenance personnel.

[0006] By employing the aforementioned technical solution, the actual galloping parameters of the monitored sections, the actual icing parameters at the actual icing locations, and the actual terrain type and environmental parameters of the area are obtained. Based on the actual icing parameters, the actual icing state is accurately determined, thereby accurately identifying whether icing triggers galloping. This fundamentally filters out section of the line that truly possesses the physiological prerequisites for galloping, avoiding false triggering of subsequent warning processes in the absence of icing or insufficient icing. When icing reaches the triggering conditions, the galloping parameters, icing state, and environmental parameters are further integrated to comprehensively determine whether there is a galloping risk. The existence of the risk is independently verified, and the random bias of a single judgment is eliminated through a double confirmation mechanism, significantly reducing the probability of false alarms. After the risk is confirmed, an initial risk score is generated, and the actual terrain type is introduced for the first correction. The galloping occurrence varies within sections with different terrain types, making the risk score more closely reflect the amplifying effect of local micro-topography on the galloping amplitude. Subsequently, reference end swing angle data of the upstream span and reference beginning swing angle data of the downstream span are further acquired. The target risk score is then corrected a second time using the inter-span mechanical propagation characteristics, fully considering the transmission and attenuation laws of galloping along the longitudinal direction of the line. This avoids the problem of underestimating or overestimating the risk by analyzing a single span in isolation and ignoring the coupled excitation of adjacent spans. Finally, the appropriate risk score obtained after double correction is used as the basis for early warning, and tiered early warning information is sent to the terminal of maintenance personnel. In summary, this invention, through a complete technical path of "icing-induced screening—multi-factor risk preliminary judgment—double verification—gradual correction based on terrain and adjacent spans," achieves a refined, hierarchical, and quantitative assessment of transmission line galloping risk, significantly improving the accuracy of galloping monitoring.

[0007] In one implementation, adjusting and optimizing the target risk score based on the reference end swing angle data of the upstream span and the reference beginning swing angle data of the downstream span of the line to be monitored to obtain a suitable risk score specifically includes: Based on the swing angle data of the insulator strings of the towers at both ends of the line within the span to be monitored, the first swing angle sequence and the last swing angle sequence are determined. Based on the swing angle data of the insulator strings of the last tower of the line within the upstream span and the first tower of the line within the downstream span to be monitored, the reference last swing angle sequence and the reference first swing angle sequence are determined. Calculate the difference sequence between the first end swing angle sequence and the reference last end swing angle sequence, and use the standard deviation of the difference sequence as the first end tension imbalance. Calculate the difference sequence between the last end swing angle sequence and the reference first end swing angle sequence, and use the standard deviation of the difference sequence as the last end tension imbalance. When both the tension imbalance at the beginning and the tension imbalance at the end are greater than a preset imbalance threshold, the line in the section to be monitored is determined to be in a state of double-end forced condition, and the status is set to double-end forced condition; when only one end has a tension imbalance greater than the preset imbalance threshold, the line in the section to be monitored is determined to be in a state of single-end forced condition, and the status is set to single-end forced condition; when neither end has a tension imbalance greater than the preset imbalance threshold, the status is set to free vibration. Calculate the phase difference between the first-end swing angle sequence and the last-end swing angle sequence. When the phase difference is within a preset in-phase interval, determine that the tension change at both ends of the line within the monitored section is either stretching or relaxing in the same direction, and mark the tension mode as in the same direction. When the phase difference is within a preset out-of-phase interval, determine that the tension change at both ends of the line within the monitored section is either stretching at one end or relaxing at the other end, and mark the tension mode as alternating. In other cases, mark the tension mode as disordered. When the state is identified as double-ended forced and the tension mode is marked as alternating, the coupling correction coefficient is set to a first correction value greater than 1; when the state is identified as double-ended forced and the tension mode is marked as unidirectional, the coupling correction coefficient is set to a second correction value greater than 1 and less than the first correction value; when the state is identified as single-ended forced, the coupling correction coefficient is set to a third correction value greater than 1 and less than the second correction value; in all other cases, the coupling correction coefficient is set to 1. The target risk score is multiplied by the coupling correction coefficient to obtain the appropriate risk score.

[0008] In one implementation, when there is a risk of galloping in the lines within the monitored section, verifying the existence of the galloping risk specifically includes: The historical icing status of multiple lines within the historical galloping anomaly is obtained, and at least one icing status to be monitored is selected from each of the historical icing statuses. The lines within the historical galloping anomaly and the lines within the monitoring section belong to the same transmission line. The system acquires the locations of multiple lines within the file that have experienced abnormal dancing and are in the state of icing of concern, and determines at least one line segment of concern based on the multiple line locations. Assess the first risk factor for the galloping anomaly caused by the icing condition of the line in question, and assess the second risk factor for the galloping anomaly caused by icing on each of the line segments in question. The existence of galloping risk of the line within the monitored section is verified based on the actual icing location, the actual icing state corresponding to each actual icing location, the first risk coefficient, and each of the second risk coefficients.

[0009] In one implementation, the step of verifying the existence of galloping risk of the lines within the monitored section based on each actual icing location, the actual icing state corresponding to each actual icing location, the first risk coefficient, and each of the second risk coefficients specifically includes: If the actual icing state corresponding to the actual icing location is the icing state to be concerned, then when the actual icing location exists in the line segment to be concerned corresponding to the actual icing state, the corresponding line segment to be concerned will be determined as the actual line segment. Multiply the first risk coefficient of the actual icing state by the second risk coefficient of the actual line segment to obtain the first risk index of the line galloping abnormality caused by the actual icing location in the monitored section. Based on the first risk index corresponding to each actual icing location, a comprehensive risk index for abnormal galloping of the line within the monitored section is determined. When the comprehensive risk index exceeds the preset index threshold, the verification of the existence of galloping risk of the line in the monitored section is confirmed to be successful.

[0010] In one implementation, determining the comprehensive risk index for abnormal galloping of the lines within the monitored section based on the first risk index corresponding to each actual icing location specifically includes: The line segment of concern where a single actual icing location is located is determined as a reference line segment. If the reference line segment exists among the line segments of concern corresponding to the icing state of concern, then the icing state of concern is determined as a reference icing state. Multiply the first risk coefficient of the reference icing state by the second risk coefficient of the reference line segment to obtain the second risk index corresponding to the reference icing state; The second risk index corresponding to at least one of the reference icing states is added together to obtain the overall risk index of the line in the monitored section caused by a single actual icing location. Based on the overall risk index, the weight corresponding to each actual icing location is determined, and the first risk index corresponding to each actual icing location is multiplied by the weight and summed to obtain the comprehensive risk index of abnormal galloping of the line within the monitored section.

[0011] In one implementation, adjusting and optimizing the initial risk score based on the actual terrain type to obtain the target risk score specifically includes: Obtain the terrain types of the areas where multiple lines within the specified range are located in the icing state to be monitored, and filter at least one terrain type to be monitored from each of the terrain types; Assess the third risk coefficient of the abnormal line galloping caused by the terrain type of concern. If the actual icing state corresponding to the actual icing location is the icing state of concern, then when the actual terrain type exists among the terrain types of concern corresponding to the actual icing state, multiply the first risk coefficient of the actual icing state by the third risk coefficient of the actual terrain type to obtain the multiplication result corresponding to the actual icing state. The summation of the multiplication results corresponding to each of the actual icing states yields the abnormal risk index of the actual terrain type causing abnormal line galloping within the monitored section. Based on the abnormal risk index, a level correction factor is determined. The initial risk score is multiplied by the level correction factor to obtain the target risk score. The larger the abnormal risk index, the larger the level correction factor, and the level correction factor is not less than 1.

[0012] In one embodiment, the method further includes: When the verification of the existence of galloping risk of the line in the monitoring file passes, the abnormal risk index is compared with the preset threshold. If the abnormal risk index exceeds the preset threshold, then the risk of line vibration within the monitored section is verified again. If the verification of the existence of galloping risk of the line in the monitoring file fails, and the abnormal risk index exceeds the preset threshold, then the existence of galloping risk of the line in the monitoring file is verified. If the abnormal risk index does not exceed the preset threshold, it is verified that there is no risk of line galloping within the monitored area.

[0013] A second aspect of this application provides a transmission line galloping monitoring system, specifically comprising: The information acquisition module is used to acquire the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and to acquire the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located. The condition determination module is used to determine the actual icing state corresponding to the actual icing position based on the actual icing parameters, and to determine whether the icing in the line within the monitored section reaches the galloping induction condition based on the actual icing state. The risk verification module is used to determine whether there is a galloping risk in the line under monitoring when the icing in the line under monitoring reaches the galloping induction condition, based on the actual galloping parameters, the actual icing state and the actual environmental parameters; and to verify the existence of the galloping risk in the line under monitoring when there is a galloping risk. The risk scoring module is used to determine the initial risk score of the galloping risk of the lines in the monitored section when the galloping risk existence verification of the lines in the monitored section passes. The scoring optimization module is used to adjust and optimize the initial risk score according to the actual terrain type to obtain the target risk score; The risk warning module is used to adjust and optimize the target risk score based on the reference end swing angle data of the upstream line and the reference beginning swing angle data of the downstream line within the monitored section, to obtain a suitable risk score, and to send warning information to the terminal of the operation and maintenance personnel based on the suitable risk score.

[0014] A third aspect of this application provides a computer-readable storage medium storing a computer program that, when loaded and executed by a processor, performs the steps of the method described in any one of the first aspects.

[0015] A fourth aspect of this application provides an electronic device, specifically comprising: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, the processor being configured to load and execute the computer program stored in the memory to cause the electronic device to perform the method as described in any one of the first aspects.

[0016] In summary, this application includes at least one of the following beneficial technical effects: using the appropriate risk score obtained after double correction as the basis for early warning, and sending graded early warning information to the terminal of operation and maintenance personnel. This invention, through a complete technical path of "icing-induced screening—preliminary judgment of multi-factor risks—double verification—gradual correction based on terrain and adjacent spans," achieves a refined, hierarchical, and quantitative assessment of transmission line galloping risks, significantly improving the accuracy of galloping monitoring. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of a transmission line galloping monitoring method provided in an embodiment of this application; Figure 2 This is a schematic diagram illustrating the relationship between an ice-covered state of concern and the corresponding line segment of concern, provided in an embodiment of this application. Figure 3 This is a schematic diagram of the structure of a transmission line galloping monitoring system provided in an embodiment of this application; Figure 4 This is a schematic diagram of another transmission line galloping monitoring system provided in an embodiment of this application.

[0018] Explanation of reference numerals in the attached diagram: 11. Information acquisition module; 12. Condition judgment module; 13. Risk verification module; 14. Risk scoring module; 15. Scoring optimization module; 16. Risk warning module; 17. Secondary verification module. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0020] In the description of the embodiments of this application, words such as "exemplarily," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplarily," "for example," or "for instance" is intended to present the relevant concepts in a specific manner.

[0021] In the description of the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, B existing alone, or A and B existing simultaneously. Furthermore, unless otherwise stated, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.

[0022] See Figure 1 This application discloses a flowchart of a transmission line galloping monitoring method, which can be implemented using a computer program or run on a transmission line galloping monitoring system based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone utility application, specifically including: S101: Obtain the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and obtain the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located.

[0023] Specifically, in this embodiment, the execution entity of the transmission line galloping monitoring method is a server. The server is wirelessly connected to a terminal, which is a personal computer or tablet computer. The terminal has a client related to transmission line galloping monitoring installed on it. The server is the backend server of the client, which can be an independent physical server or a cluster of multiple physical servers.

[0024] The monitored span refers to the current span where galloping monitoring is being conducted. A span refers to the transmission line between two towers. Actual galloping parameters are quantitative parameters collected in real-time by monitoring equipment that reflect the galloping state of the monitored span. These include, but are not limited to, galloping amplitude (unit: meters), galloping frequency (unit: Hertz / Hz), galloping period (unit: seconds), and galloping direction (e.g., horizontal, vertical, torsional). These are core parameters for assessing the risk of line galloping. Actual icing location refers to the specific location on the monitored span where icing occurs. Actual icing parameters are quantitative parameters collected by monitoring equipment that characterize the icing situation at the actual icing location, including icing thickness (unit: millimeters / mm), icing density (unit: grams / cm³), and icing type (e.g., rime icing). The core criteria for determining the icing status are: 1) icing (the ratio of the maximum to the minimum icing thickness within the same span); 2) icing unevenness (the ratio of the maximum to the minimum icing thickness within the same span); 3) actual terrain type (the terrain classification of the area where the line is located within the monitored span); 4) actual environmental parameters (real-time environmental data of the area where the line is located within the monitored span, including wind speed (m / s), wind direction, temperature (°C), humidity (%), and air pressure (kPa), among which wind speed and wind direction are key environmental factors that induce line galloping; and 5) actual icing status (the classification of the severity and characteristics of icing at the actual icing location based on the actual icing parameters).

[0025] Furthermore, line galloping monitoring devices (such as accelerometers and video monitoring instruments) are installed at key locations such as the midpoint and suspension point of the conductor span within the monitored section to collect real-time data on the galloping amplitude, frequency, period, and direction. After data filtering and noise reduction, accurate actual galloping parameters are obtained. Icing monitoring devices (such as infrared thermometers and ultrasonic icing sensors) are used to monitor icing-prone locations on the line at fixed points, collecting real-time data on icing thickness and density at each actual icing location. Image recognition technology is used to determine the icing type, calculate the icing unevenness within the same span, and integrate the data to form actual icing parameters for each actual icing location. Topographic data of the area where the line is located within the monitored section is retrieved through a Geographic Information System (GIS), and combined with on-site survey results, the actual terrain type is determined (terrains prone to strong winds, such as canyons and wind gaps, need to be marked). Environmental monitoring stations (installed along the line, one every 5 kilometers) collect real-time data on wind speed, wind direction, temperature, humidity, and air pressure in the area, and after calibration, actual environmental parameters are obtained.

[0026] S102: Based on the actual icing parameters, determine the actual icing status corresponding to the actual icing location, and based on the actual icing status, determine whether the icing in the line within the monitored section has reached the conditions for galloping.

[0027] Specifically, the collected actual icing parameters are first preprocessed to remove abnormal data caused by equipment failure or environmental interference (such as instantaneous changes in icing thickness or icing density exceeding the reasonable range of 0.3-1.0 g / cm³), ensuring the authenticity and reliability of the parameters. Then, based on a preset icing state grading standard, the actual icing parameters for each actual icing location are compared one by one to accurately determine the actual icing state corresponding to each location. The grading standard is as follows: no icing (icing thickness = 0 mm, regardless of other parameters, it is judged as no icing), light icing... Slight icing (ice thickness 1-5mm, ice density ≤0.6g / cm³, ice unevenness ≤1.2; all three conditions must be met simultaneously; if any parameter is not met, it is not considered light icing), moderate icing (ice thickness 6-15mm, ice density 0.6-0.8g / cm³, ice unevenness 1.2-1.5; all three conditions must be met simultaneously; if the ice thickness is 6-15mm but the ice density or ice unevenness exceeds the corresponding range, it is still considered light icing), and severe icing (ice thickness >15mm, or ice thickness between 6-15mm). However, if the icing density is greater than 0.8 g / cm³ and the icing unevenness is greater than 1.5, it is considered heavily iced. After determining the icing state, the preset galloping induction conditions are retrieved. These galloping induction conditions are critical conditions set after extensive field tests and data calibration. Specifically, the actual icing state is moderate or above, with an icing thickness ≥ 6 mm and an icing unevenness ≥ 1.2. At the same time, the real-time temperature in the area is ≤ 0℃ and the wind speed is ≥ 3 m / s (wind speeds that are too low cannot generate sufficient wind power to induce galloping). All of the above conditions must be met simultaneously. Then, the actual icing status and corresponding actual icing parameters of each actual icing location, as well as the actual environmental parameters (temperature and wind speed) of the area, are compared with the galloping induction conditions item by item and parameter by parameter. During the comparison process, the specific values ​​and deviations of each parameter are recorded. If there is at least one actual icing location with an actual icing status of moderate or severe, and the icing thickness is ≥6mm and the icing non-uniformity is ≥1.2, and the real-time temperature of the corresponding area is ≤0℃ and the wind speed is ≥3m / s, then all the galloping induction conditions are met, and it is determined that the icing in the line within the monitoring range has reached the galloping induction conditions.

[0028] S103: When the icing in the line under monitoring reaches the galloping induction condition, based on the actual galloping parameters, actual icing state and actual environmental parameters, determine whether there is a galloping risk in the line under monitoring. If there is a galloping risk in the line under monitoring, verify the existence of the galloping risk in the line under monitoring.

[0029] S104: When the verification of the existence of galloping risk of the line in the monitoring section passes, determine the initial risk score of the galloping risk of the line in the monitoring section.

[0030] Specifically, a comprehensive assessment is conducted based on three core dimensions, each with its own specific quantitative scoring criteria to ensure the assessment process is practical and unambiguous: First, the actual galloping parameters dimension, with the following scoring criteria: galloping amplitude 0-0.5m scores 0-20 points, 0.5-1.0m scores 21-40 points, 1.0-1.5m scores 41-60 points, and >1.5m scores 61-100 points; the deviation of the galloping frequency from the line's natural frequency is ≤0.1Hz, scoring 40 points, and a deviation of 0.1-0.2Hz scores 30 points. The first dimension is the actual icing state dimension. A deviation of 0.2-0.3Hz scores 20 points, and a deviation >0.3Hz scores 10 points. The scores for icing amplitude and icing frequency are added together and multiplied by a weight of 0.4 to obtain the final score for the actual icing parameters dimension (out of 40 points). The second dimension is the actual icing state dimension, with the following scoring criteria: light icing scores 10 points, moderate icing scores 30 points, and heavy icing scores 50 points; icing unevenness scores 1.2-1.5 for 10 points, 1.5-2.0 for 20 points, and >2.0 for 30 points. The icing state score is then compared with... The scores for uneven icing are summed and multiplied by a weight of 0.3 to obtain the final score for the actual icing state dimension (out of 30 points). The third dimension is the actual environmental parameters, with the following scoring criteria: wind speed 5-10 m / s: 20 points; 10-15 m / s: 30 points; 15-25 m / s: 40 points; <5 m / s or >25 m / s: 10 points; wind direction angle with the line axis: 30°-60°: 30 points; 60°-90°: 20 points; <30° or >90°: 10 points; temperature ≤-5°C... 20 points are awarded for ℃, 10 points for -5℃ to 0℃, and 5 points for >0℃. The scores for wind speed, wind direction, and temperature are added together and multiplied by a weight of 0.3 to obtain the final score for the actual environmental parameter dimension (maximum score 30 points). Then, the final scores of the three dimensions are added together to obtain the comprehensive risk score (maximum score 100 points). If the comprehensive risk score is ≥60 points, it is determined that there is a risk of line galloping within the monitoring range, and the specific scores and abnormal parameters of each dimension are recorded. If the comprehensive risk score is <60 points, it is determined that there is no risk of line galloping.

[0031] When there is a risk of galloping on a line within a monitored area, the existence of this risk is verified. One feasible verification method is as follows: Based on historical galloping anomaly records cached in the database, the historical icing states of multiple lines within the monitored area with historical galloping anomalies are obtained. Multiple historical icing states may contain the same icing state. The frequency of occurrence of each individual historical icing state is counted. The higher the frequency, the more likely that historical icing state is to occur on the line within the monitored area. A preset number of historical icing states are selected from all different historical icing states in descending order of frequency to determine the icing states to be of concern, i.e., the icing states that are likely to occur on the line within the monitored area. The preset number is one-half or three-fifths of the total number of different historical icing states. The historical galloping anomaly records include the historical icing states of different lines within the monitored area (with line identifiers) when galloping anomalies occurred within the historical period, the location of the line under the historical icing state, and the terrain type of the area where the line with the galloping anomaly occurred. The historical period is the past 5 years. The line within the span is the power transmission line between two towers.

[0032] Furthermore, from the aforementioned historical records of abnormal icing, lines within the archives exhibiting abnormal icing were selected. Multiple line locations in a single, noteworthy icing state were then clustered using the K-Means algorithm to divide these locations into multiple line segments, covering all line locations. The clustering process was as follows: The elbow rule was used to determine the value of k (calculating the sum of squared errors (SSE) within clusters for K=2, 3, 4, 5, and 6, plotting K-SSE curves, and selecting the K value corresponding to the inflection point where the curve's descent slows down). Then, k cluster centers were initialized, and the standard K-Means algorithm was used iteratively: calculating the Euclidean distance from each sample (line location) to each cluster center, assigning the sample to the nearest cluster; recalculating the mean of each cluster as the new cluster center; repeating this process until the cluster centers no longer changed or the maximum number of iterations was reached (50 iterations in this embodiment). After clustering, k cluster centers (normalized values) were obtained. Using the midpoint between two adjacent cluster centers as the interval boundary, multiple line segments were finally obtained. The number of line locations contained in each line segment is counted. These segments are then selected from all different line segments in descending order of quantity to determine a predetermined number of line segments as the "line segments of interest"—that is, line segments likely to be in a single icing state. The predetermined number is either one-half or two-thirds of the total number of all different line segments. Each line segment is a portion of a continuous line within a specified range. Furthermore, each icing state of interest corresponds to several line segments of interest.

[0033] The first risk coefficient, calculated as the ratio of the frequency of occurrence of a single icing condition to the sum of the frequencies of occurrence of all icing conditions, is used to assess the likelihood of a single icing condition causing a galloping anomaly within the archive. The second risk coefficient, calculated as the ratio of the number of line locations contained within a single icing condition to the sum of the number of line locations contained within all line segments, is then used to assess the likelihood of that single icing condition causing a galloping anomaly within the archive. For example, there are two icing states to watch, F1 and F2. Icing state F1 occurs 60 times, and icing state F2 occurs 40 times. Therefore, the first risk coefficient for icing state F1 is: 60 times / (60 times + 40 times) = 0.6. Further, icing state F1 corresponds to line segments F11 and F12, and icing state F2 corresponds to line segments F21, F22, and F23. Line segment F21 contains 20 line locations, line segment F22 contains 60 line locations, and line segment F23 contains 20 line locations. Therefore, the second risk coefficient for line segment F21 is: 20 / (20 + 60 + 20) = 0.2. For details, please refer to [link to relevant documentation]. Figure 2 It should be noted that different icing conditions on the track within the span result in varying degrees of risk of abnormal track galloping, and the risk of abnormal track galloping also varies depending on the location of the icing on the track.

[0034] Furthermore, based on the actual icing locations and corresponding icing states on the lines within the monitoring section, the first risk coefficient of a single icing state of concern and the second risk coefficient of each line segment of concern corresponding to a single icing state of concern are used to verify the existence of galloping risk on the lines within the monitoring section. One feasible verification method is as follows: If the actual icing condition of a single actual icing location is a condition of concern, then it is determined whether the line segment of concern corresponding to this actual icing condition includes this single actual icing location. If it does, then the corresponding line segment of concern is identified as an actual line segment. Next, the first risk coefficient of the actual icing condition is multiplied by the second risk coefficient of the actual line segment to obtain the first risk index of the line galloping anomaly caused by the single actual icing location within the monitored section. The first risk index represents the probability that icing at this actual icing location within the monitored section will induce a galloping anomaly. The first risk indices corresponding to each actual icing location are summed to obtain the comprehensive risk index of the line galloping anomaly within the monitored section, that is, the overall probability of the line galloping anomaly occurring within the monitored section under the current actual icing condition. Finally, the comprehensive risk index is compared with the preset index threshold. If the comprehensive risk index exceeds the index threshold, it indicates that under the current actual icing conditions, the overall probability of abnormal galloping of the lines in the monitoring section is relatively high. In this case, the verification of the existence of galloping risk of the lines in the monitoring section is passed, thus more accurately assessing the existence of galloping risk.

[0035] In other embodiments, a feasible method for determining a comprehensive risk index for abnormal galloping of lines within a monitored section based on a first risk index corresponding to each actual icing location is as follows: The line segment of concern where a single actual icing location is located is determined as a reference line segment. If this reference line segment exists among the various line segments of concern corresponding to a single icing state of concern, then that icing state of concern is determined as a reference icing state, and at least one reference icing state exists. The first risk coefficient of a single reference icing state is multiplied by the second risk coefficient of its corresponding reference line segment to obtain a second risk index corresponding to the single reference icing state. The second risk index characterizes the probability that a reference line segment in a single reference icing state will cause abnormal galloping of lines within the section. Further, the second risk indices corresponding to each reference icing state are summed to obtain an overall risk index, which characterizes the overall probability that a single actual icing location will cause abnormal galloping of lines within the monitored section. The larger the overall risk index, the stronger the correlation between icing at a single actual icing location and abnormal galloping of lines within the monitored section. Similarly, the overall risk index corresponding to other actual icing locations can be determined.

[0036] Furthermore, based on the overall risk index corresponding to each actual icing location, the weight corresponding to that actual icing location is determined. The larger the overall risk index, the larger the corresponding weight. A feasible way to determine the weight is to use the ratio of a single overall risk index to the sum of all overall risk indices as the weight corresponding to the actual icing location. Then, the first risk index corresponding to the actual icing state of each actual icing location is multiplied by the weight and summed to obtain the comprehensive risk index of abnormal galloping of the line within the monitored section.

[0037] In one embodiment, a first risk coefficient for a single icing state of concern is multiplied by a second risk coefficient for at least one corresponding target line segment to obtain multiple product results for the single icing state of concern. These product results are then summed to obtain a comprehensive result for the single icing state of concern. The target line segment is a line segment of concern belonging to the same span (the line between two towers). The product results characterize the probability of galloping anomalies occurring when the target line segment is in a single icing state of concern. The comprehensive result characterizes the probability of galloping anomalies occurring on the line within that span under a single icing state of concern. The larger the comprehensive result, the stronger the correlation between the single icing state of concern and the galloping anomalies on the line within that span. The comprehensive results corresponding to each icing state of concern are summed to obtain a summed result for the line within that span, characterizing the overall probability of galloping anomalies on the line within that span. Based on the summation results for each line within a given range, the monitoring order for those lines is determined. The larger the summation, the earlier the monitoring order. This monitoring order is then sent to the maintenance personnel's terminals, allowing them to specifically monitor line vibration within each range and accurately and efficiently identify potential vibration risks. The terminals can be personal computers or smartphones. Furthermore, for lines within the same range, a preset number of comprehensive results are selected from the corresponding comprehensive results in descending order (selecting the larger comprehensive results). The icing status corresponding to the selected comprehensive results is determined as the icing state triggering condition for line vibration within that range; that is, the prerequisite icing state for abnormal line vibration within that range.

[0038] Furthermore, when the verification of the existence of galloping risk of the lines within the monitoring section passes, the aforementioned comprehensive risk score is directly determined as the initial risk score of the galloping risk of the lines within the monitoring section.

[0039] S105: Adjust and optimize the initial risk score according to the actual terrain type to obtain the target risk score.

[0040] Specifically, based on the aforementioned historical records of galloping anomalies, the terrain types of multiple sections of railway within a single section under particular concern for icing are identified. Different terrain types alter local wind speed, direction, airflow turbulence, local temperature and humidity, and the uniformity of icing distribution, making them crucial environmental factors for assessing the risk of galloping on railway sections within a section. Terrain type refers to the macroscopic geomorphological classification unit formed by the surface undulations, landforms, slopes, and open / obstructed conditions within the railway section's path and corridor. Terrain types include, but are not limited to, plains, hills, mountains, and basins. The frequency of occurrence of each terrain type is statistically analyzed. Based on the order of frequency from highest to lowest, a pre-set number of terrain types are selected as the terrain types of concern—those prone to causing galloping anomalies on railway sections within a section. The pre-set number is half the total number of all different terrain types.

[0041] Next, the third risk coefficient for galloping anomalies caused by each terrain type corresponding to a single icing state of concern is evaluated. This third risk coefficient is the ratio of the occurrence frequency of a single terrain type of concern to the sum of the occurrence frequencies of all terrain types of concern, representing the probability that a terrain type of concern will cause galloping anomalies on the track within a given icing state. Further, when the actual icing state corresponding to a single actual icing location is a state of concern, if an actual terrain type exists among the various terrain types of concern corresponding to that actual icing state, then the first risk coefficient of that actual icing state is multiplied by the third risk coefficient of its corresponding actual terrain type to obtain the multiplication result for that actual icing state. This multiplication result represents the probability that the actual icing state on the track within the monitored section will cause galloping anomalies. The multiplication results for each actual icing state are summed to obtain the anomaly risk index for galloping anomalies on the track within the monitored section caused by the actual terrain type, representing the overall probability that the actual terrain type will cause galloping anomalies on the track within the monitored section. The higher the anomaly risk index, the stronger the correlation between the actual terrain type and the galloping anomaly. Simultaneously, through a preset mapping rule, the abnormal risk index is mapped to the interval [1,2] to obtain a level correction factor. The larger the abnormal risk index, the larger the level correction factor. In this embodiment, the specific mapping process is as follows: the abnormal risk index is normalized to the value range of 0 to 1, and the level correction factor is calculated through a preset linear mapping rule K=1+R, where K is the level correction factor and R is the normalized result of the abnormal risk index. Finally, the initial risk score is multiplied by the level correction factor to obtain the target risk score.

[0042] In another embodiment, when the verification of the existence of galloping risk in the monitored section passes, the abnormal risk index is compared with a preset threshold. If the abnormal risk index exceeds the preset threshold, it indicates a high risk of galloping anomalies in the monitored section, and the presence of galloping risk in the monitored section is verified again, improving the accuracy of the galloping risk assessment. When the verification of the existence of galloping risk in the monitored section fails, considering the accuracy of the galloping risk assessment, if the abnormal risk index exceeds the preset threshold, the presence of galloping risk in the monitored section is verified; otherwise, the absence of galloping risk is verified.

[0043] S106: Based on the reference end swing angle data of the upstream line and the reference beginning swing angle data of the downstream line within the monitored section, the target risk score is adjusted and optimized to obtain a suitable risk score. Based on the suitable risk score, an early warning message is sent to the terminal of the operation and maintenance personnel.

[0044] Specifically, high-precision tilt sensors (measurement accuracy ±0.01°, response frequency ≥50Hz) are installed at the crossarm-conductor connection points of the first and last towers within the monitored span to collect insulator string swing angle data. Simultaneously, tilt sensors of the same model and precision are installed at corresponding positions on the last tower of the upstream span and the first tower of the downstream span within the monitored span, ensuring that the installation orientation and measurement reference of all sensors are completely consistent (all based on the vertical direction, with clockwise swing as a positive angle and counterclockwise swing as a negative angle). Insulator string swing angle data are then collected on the last tower of the upstream span and the first tower of the downstream span. All sensors are activated, and fixed sampling parameters are set: a sampling frequency of 10Hz (i.e., one set of data is collected every 0.1 seconds), and a continuous sampling duration of 10s, ensuring that the sampling duration covers the normal galloping cycle of the line within the span (1-10s). During sampling, the sampling timestamps of each sensor are recorded synchronously to ensure strict time synchronization of all collected swing angle data (insulator string swing angle data) (timestamp error ≤ 0.001s). After collection, all swing angle data are preprocessed to remove abnormal data: peak outliers are removed using the 3σ criterion (when the difference between a set of swing angle data and the average value of the sequence is greater than 3 times the standard deviation, it is judged as a peak outlier and replaced with the average value of the two adjacent sets of data); zero drift interference data are filled using linear interpolation (when three or more consecutive sets of zero value data appear, it is judged as zero drift interference and filled with the effective data before and after using linear interpolation). After preprocessing, the swing angle sequences are arranged in chronological order of sampling time to form four sets of swing angle sequences: the first end swing angle sequence of the line under monitoring, the last end swing angle sequence of the line under monitoring, the reference last end swing angle sequence of the line in the upstream span, and the reference first end swing angle sequence of the line in the downstream span.

[0045] Using the time index as a reference, the swing angle value (denoted as A_i) at each time point in the first-end swing angle sequence is compared with the swing angle value (denoted as B_i) at the corresponding time point in the reference last-end swing angle sequence, and the difference is calculated point by point to obtain the difference sequence C_i. The difference calculation formula is: C_i = A_i - B_i (i=1,2,...,100). The overall standard deviation of the difference sequence C_i is calculated. The standard deviation calculation formula is: σ1 = √[Σ(C_i-C̄)² / n], where C̄ is the average value of the difference sequence C_i, and n is the number of data in the difference sequence (n=100). The calculated standard deviation σ1 is used as the first-end tension imbalance of the line within the monitored section. Synchronous calculation of end tension imbalance: Using the same calculation rules as the beginning tension imbalance, the swing angle value (denoted as D_i) at each time point in the end swing angle sequence is compared with the swing angle value (denoted as E_i) at the corresponding time point in the reference beginning swing angle sequence, and the difference is calculated point by point to obtain the difference sequence F_i. The calculation formula is: F_i = D_i - E_i (i=1,2,...,100). Similarly, the above standard deviation formula is used to calculate the overall standard deviation σ2 of the difference sequence F_i, and σ2 is used as the end tension imbalance of the line within the section to be monitored.

[0046] Fast Fourier Transform (FFT) was used to perform frequency domain analysis on the first and last swing angle sequences to extract the fundamental frequency components of the two sequences. The number of sampling points for the FFT operation was set to 1024 (greater than the number of swing angle sequence data points of 100, to ensure the accuracy of frequency domain analysis). During the operation, high-frequency interference components with a frequency greater than 1Hz were removed (the fundamental frequency of swinging on the line within the arch is usually 0.1-1Hz), and the signal data corresponding to the fundamental frequency components were retained. Based on the extracted fundamental frequency components, the real-time phase difference φ between the two sets of fundamental frequency signals is calculated. The preset in-phase interval is the phase difference range of the vibration actions of both ends in the same direction, which is calibrated by engineering measurements. Specifically, it is preset to 330°~360° and 0°~30°. Within this interval, the phase difference is approximately synchronous (phase difference deviation ≤30°), indicating that the insulators at both ends swing synchronously and the tension changes in the same direction. The preset out-of-phase interval is the phase difference range of the vibration actions of both ends in opposite directions, which is calibrated by engineering measurements. Specifically, it is preset to 150°~210°. Within this interval, the vibration phases of both ends are approximately opposite (phase difference deviation ≤30°), indicating that the insulators at both ends swing in opposite directions and the tension changes alternately in opposite directions. The remaining phase difference ranges (30°~150°, 210°~330°) are disordered intervals. Based on the calculated phase difference φ, the tension mode is determined and marked as follows: 1. When φ∈[330°,360°] or φ∈[0°,30°], it is determined that the insulators at both ends of the line under monitoring swing synchronously, the tension changes at both ends of the conductor are in the same direction of stretching or relaxation, and the tension changes at both ends are completely consistent. The tension mode is fixedly marked as "same direction"; when φ∈[150°,210°], it is determined that the insulators at both ends of the line under monitoring swing in opposite directions, the tension at one end of the conductor is stretched while the other end relaxes synchronously, the tension changes at both ends alternate in opposite directions, and the coupling effect is the strongest. The tension mode is fixedly marked as "alternating"; when φ∈(30°,150°) or φ∈(210°,330°), it is determined that the tension changes at both ends have no fixed coordinated pattern and the timing is disordered. The tension mode is fixedly marked as "disordered".

[0047] 1. When the state is marked "forced at both ends" and the tension mode is marked "alternating", the current working condition is determined to have the strongest cross-gear coupling effect and the most significant galloping risk amplification effect. The coupling correction coefficient is fixed at the first correction value of 1.6. 2. When the state is marked "forced at both ends" and the tension mode is marked "same direction", the current working condition is determined to have a moderate cross-gear coupling effect. The coupling correction coefficient is fixed at the second correction value of 1.3. 3. When the state is marked "forced at one end", regardless of whether the tension mode is marked "same direction", "alternating", or "disordered", the current working condition is determined to have only a weak unilateral coupling effect. The coupling correction coefficient is fixed at the third correction value of 1.1. 4. For all other working conditions (including the state marked "free vibration" and the state marked "forced at both ends" but the tension mode marked "disordered"), the current working condition is determined to have no significant cross-gear coupling amplification effect. The coupling correction coefficient is fixed at 1. It should be noted that the coupling correction coefficient is a coupling gain coefficient used to correct the galloping risk and tension fluctuation amplitude of transmission line spans. The larger the coefficient value, the stronger the amplification effect of cross-span vibration coupling between adjacent spans and the forced state at both ends on the galloping risk of the line. Finally, the target risk score is multiplied by the coupling correction coefficient to obtain an appropriate risk score for the galloping risk of the line within the span to be monitored. This optimizes the risk score from the perspective of the tension coupling relationship between adjacent spans, thereby improving the accuracy of the risk score.

[0048] Finally, according to the preset score-level mapping table, the appropriate risk score corresponding to the warning level is determined, and warning information of the corresponding warning level is sent to the terminals of maintenance personnel for the lines within the monitoring range, thereby reminding them to accurately issue warnings for galloping on the lines within the monitoring range. The score-level mapping table is as follows: low risk (0-59 points), medium risk (60-79 points), and high risk (80-100 points). The warning information also includes handling suggestions for different warning levels: low risk corresponds to routine monitoring, medium risk to enhanced monitoring, and high risk to emergency inspection. The warning information is encrypted with AES-128 and pushed to the corresponding maintenance personnel's terminals through multiple channels via TCP / IP protocol (transmission delay ≤10 seconds): mobile APP pop-up + SMS, monitoring terminal pop-up + sound alarm, and tablet pop-up. The status is fed back in real time after push; if it fails, it retryes once every 30 seconds. After 5 consecutive failures, the information is cached and an anomaly reminder is pushed to the management personnel. Maintenance personnel must confirm receipt. If confirmation is not received within the specified time (1 hour for low risk, 30 minutes for medium risk, and 10 minutes for high risk), the system will push the alert again and increase the intensity of the alert to ensure that maintenance personnel are aware of and can take action in a timely manner, thus ensuring that the early warning is accurate and timely.

[0049] The implementation principle of the transmission line galloping monitoring method in this application embodiment is as follows: A suitable risk score obtained after double correction is used as the basis for early warning, and tiered early warning information is sent to the terminal of maintenance personnel. In summary, this invention, through a complete technical path of "icing-induced screening—preliminary judgment of multi-factor risks—double verification—gradual correction based on terrain and adjacent spans," achieves refined, hierarchical, and quantitative assessment of transmission line galloping risks, significantly improving the accuracy of galloping monitoring.

[0050] The following are system embodiments of this application, which can be used to execute the method embodiments of this application. For details not disclosed in the system embodiments of this application, please refer to the method embodiments of this application.

[0051] Please see Figure 3 This is a schematic diagram of the transmission line galloping monitoring system provided in this application embodiment. This system can be implemented as all or part of a system through software, hardware, or a combination of both. The system includes an information acquisition module 11, a condition determination module 12, a risk verification module 13, a risk scoring module 14, a scoring optimization module 15, and a risk early warning module 16.

[0052] The information acquisition module 11 is used to acquire the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and to acquire the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located. The condition determination module 12 is used to determine the actual icing state corresponding to the actual icing location based on the actual icing parameters, and to determine whether the icing in the line within the monitored section meets the galloping induction conditions based on the actual icing state. The risk verification module 13 is used to determine whether there is a galloping risk in the line under monitoring when the icing in the line under monitoring reaches the galloping induction condition, based on the actual galloping parameters, the actual icing state and the actual environmental parameters. When there is a galloping risk in the line under monitoring, the module verifies the existence of the galloping risk in the line under monitoring. Risk scoring module 14 is used to determine the initial risk score of the galloping risk of the lines in the monitoring section when the galloping risk existence verification of the lines in the monitoring section passes. The scoring optimization module 15 is used to adjust and optimize the initial risk score according to the actual terrain type to obtain the target risk score; The risk warning module 16 is used to adjust and optimize the target risk score based on the reference end swing angle data of the upstream line and the reference beginning swing angle data of the downstream line within the monitored section, to obtain a suitable risk score, and to send warning information to the terminal of the operation and maintenance personnel based on the suitable risk score.

[0053] Optional, risk warning module 16, specifically used for: Based on the swing angle data of the insulator strings of the towers at both ends of the line under monitoring, determine the first swing angle sequence and the last swing angle sequence. Based on the swing angle data of the insulator strings of the last tower of the line in the upstream span and the first tower of the line in the downstream span, determine the reference last swing angle sequence and the reference first swing angle sequence. Calculate the difference sequence between the initial swing angle sequence and the reference final swing angle sequence, and use the standard deviation of this difference sequence as the initial tension imbalance. Calculate the difference sequence between the final swing angle sequence and the reference initial swing angle sequence, and use the standard deviation of this difference sequence as the final tension imbalance. When both the tension imbalance at the beginning and the tension imbalance at the end are greater than the preset imbalance threshold, the line in the monitored section is determined to be in a double-end forced state, and the status is set to double-end forced. When the tension imbalance at only one end is greater than the preset imbalance threshold, the line in the monitored section is determined to be in a single-end forced state, and the status is set to single-end forced. When the tension imbalance at both ends is not greater than the preset imbalance threshold, the status is set to free vibration. Calculate the phase difference between the first and last swing angle sequences. When the phase difference is within the preset in-phase interval, determine that the tension change at both ends of the line in the monitored section is either stretching or relaxing in the same direction, and mark the tension mode as in the same direction. When the phase difference is within the preset out-of-phase interval, determine that the tension change at both ends of the line in the monitored section is either stretching at one end or relaxing at the other end, and mark the tension mode as alternating. In other cases, mark the tension mode as disordered. When the state is identified as double-ended forced and the tension mode is marked as alternating, the coupling correction coefficient is set to a first correction value greater than 1; when the state is identified as double-ended forced and the tension mode is marked as unidirectional, the coupling correction coefficient is set to a second correction value greater than 1 and less than the first correction value; when the state is identified as single-ended forced, the coupling correction coefficient is set to a third correction value greater than 1 and less than the second correction value; in all other cases, the coupling correction coefficient is set to 1. The appropriate risk score is obtained by multiplying the target risk score by the coupling correction coefficient.

[0054] Optional, risk verification module 13, specifically used for: Obtain the historical icing status of multiple lines within the historical galloping anomaly, and select at least one icing status to be of interest from each historical icing status. The lines within the same span and the lines within the span to be monitored belong to the same transmission line. The system acquires the locations of multiple lines within a file that have experienced abnormal dancing behavior and are currently under icing conditions, and identifies at least one line segment to be monitored based on these multiple locations. Assess the first risk factor for galloping anomalies caused by icing conditions of concern, and assess the second risk factor for galloping anomalies caused by icing conditions of each line segment of concern. The existence of galloping risk of the line within the monitoring section is verified based on each actual icing location, the actual icing status corresponding to each actual icing location, the first risk coefficient, and each second risk coefficient.

[0055] Optional, risk verification module 13, specifically used for: If the actual icing location corresponds to an actual icing state that is a state of icing to be monitored, then if there is an actual icing location in the line segment of monitoring that corresponds to the actual icing state, the corresponding line segment of monitoring will be identified as the actual line segment. Multiply the first risk coefficient of the actual icing state by the second risk coefficient of the actual line segment to obtain the first risk index of the line galloping abnormality caused by the actual icing location in the monitored section. Based on the first risk index corresponding to each actual icing location, determine the comprehensive risk index for abnormal galloping of the lines within the monitoring range; When the comprehensive risk index exceeds the preset index threshold, the verification of the existence of galloping risk of the line within the monitoring section is confirmed.

[0056] Optional, risk verification module 13, specifically used for: The line segment of concern where a single actual icing location is located is determined as the reference line segment. If there is a reference line segment among the line segments of concern corresponding to the icing state of concern, then the icing state of concern is determined as the reference icing state. Multiply the first risk coefficient of the reference icing state by the second risk coefficient of the reference line segment to obtain the second risk index corresponding to the reference icing state; Add at least one second risk index corresponding to the reference icing state to obtain the overall risk index of the line in the monitored section caused by a single actual icing location. Based on the overall risk index, the weight corresponding to each actual icing location is determined, and the first risk index corresponding to each actual icing location is multiplied by the weight and summed to obtain the comprehensive risk index of abnormal galloping of the line within the monitoring range.

[0057] Optional, the rating optimization module 15 is specifically used for: Obtain the terrain types of the areas where multiple lines within the archives are in a state of icing to be monitored, and filter at least one terrain type to be monitored from each terrain type; Assess the third risk coefficient of the abnormal galloping of the line within the archive caused by the terrain type of concern. If the actual icing state corresponding to the actual icing location is the icing state of concern, then when there is an actual terrain type among the terrain types of concern corresponding to the actual icing state, multiply the first risk coefficient of the actual icing state by the third risk coefficient of the actual terrain type to obtain the multiplication result corresponding to the actual icing state. The summation of the multiplication results corresponding to each actual icing state yields the abnormal risk index of line galloping anomalies caused by the actual terrain type within the monitored section. Based on the abnormal risk index, a level correction factor is determined. The initial risk score is multiplied by the level correction factor to obtain the target risk score. The larger the abnormal risk index, the larger the level correction factor, and the level correction factor is not less than 1.

[0058] Optional, such as Figure 4 As shown, the system also includes a secondary verification module 17, which is specifically used for: When the verification of the existence of galloping risk of the line in the monitoring file passes, the abnormal risk index is compared with the preset threshold. If the abnormal risk index exceeds the preset threshold, the risk of line oscillation within the monitored area will be verified again. If the verification of the existence of galloping risk of the line in the monitoring file fails, and the abnormal risk index exceeds the preset threshold, then the existence of galloping risk of the line in the monitoring file is verified. If the abnormal risk index does not exceed the preset threshold, it verifies that there is no risk of line malfunction within the monitored area.

[0059] It should be noted that the transmission line galloping monitoring system provided in the above embodiments is only illustrated by the division of the above functional modules when executing the transmission line galloping monitoring method. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the transmission line galloping monitoring system and the transmission line galloping monitoring method embodiment provided in the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiment, which will not be repeated here.

[0060] This application also discloses a computer-readable storage medium, which stores a computer program, wherein when the computer program is executed by a processor, it implements a transmission line galloping monitoring method of the above embodiments.

[0061] The computer program can be stored in a computer-readable medium. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or certain middleware. The computer-readable medium includes any entity or system capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the computer-readable medium includes, but is not limited to, the above-mentioned components.

[0062] The above-described method for monitoring transmission line galloping is stored in the computer-readable storage medium and loaded and executed on a processor to facilitate the storage and application of the method.

[0063] This application also discloses an electronic device in which a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, it implements the above-mentioned method for monitoring the galloping of power transmission lines.

[0064] The electronic device can be a desktop computer, a laptop computer, or a cloud server, and includes, but is not limited to, a processor and a memory. For example, the electronic device may also include input / output devices, network access devices, and buses.

[0065] The processor can be a central processing unit (CPU). Of course, depending on the actual use, it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc., and this application does not limit it.

[0066] The memory can be an internal storage unit of an electronic device, such as a hard disk or RAM, or an external storage device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD), or flash memory card (FC) equipped on the electronic device. Furthermore, the memory can be a combination of an internal storage unit and an external storage device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or will be output. This application does not limit this.

[0067] In this electronic device, the transmission line galloping monitoring method of the above embodiment is stored in the memory of the electronic device and loaded and executed on the processor of the electronic device for convenient use.

[0068] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for monitoring transmission line galloping, characterized in that, The method includes: Obtain the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and obtain the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located; Based on the actual icing parameters, determine the actual icing state corresponding to the actual icing location, and based on the actual icing state, determine whether the icing in the line within the monitored section meets the conditions for galloping. When the icing in the line within the monitored section reaches the galloping induction condition, based on the actual galloping parameters, the actual icing state, and the actual environmental parameters, it is determined whether there is a galloping risk in the line within the monitored section. If there is a galloping risk in the line within the monitored section, the existence of the galloping risk in the line within the monitored section is verified. When the verification of the existence of galloping risk of the line in the monitored section passes, the initial risk score of the galloping risk of the line in the monitored section is determined. Based on the actual terrain type, the initial risk score is adjusted and optimized to obtain the target risk score; Based on the reference end swing angle data of the upstream section line and the reference beginning swing angle data of the downstream section line, the target risk score is adjusted and optimized to obtain a suitable risk score. Based on the suitable risk score, an early warning message is sent to the terminal of the operation and maintenance personnel.

2. The transmission line galloping monitoring method according to claim 1, characterized in that, The step involves adjusting and optimizing the target risk score based on the reference end swing angle data of the upstream span and the reference beginning swing angle data of the downstream span of the line under monitoring, to obtain a suitable risk score. Specifically, this includes: Based on the swing angle data of the insulator strings of the towers at both ends of the line within the span to be monitored, the first swing angle sequence and the last swing angle sequence are determined. Based on the swing angle data of the insulator strings of the last tower of the line within the upstream span and the first tower of the line within the downstream span to be monitored, the reference last swing angle sequence and the reference first swing angle sequence are determined. Calculate the difference sequence between the first end swing angle sequence and the reference last end swing angle sequence, and use the standard deviation of the difference sequence as the first end tension imbalance. Calculate the difference sequence between the last end swing angle sequence and the reference first end swing angle sequence, and use the standard deviation of the difference sequence as the last end tension imbalance. When both the tension imbalance at the beginning and the tension imbalance at the end are greater than a preset imbalance threshold, the line in the section to be monitored is determined to be in a state of double-end forced condition, and the status is set to double-end forced condition; when only one end has a tension imbalance greater than the preset imbalance threshold, the line in the section to be monitored is determined to be in a state of single-end forced condition, and the status is set to single-end forced condition; when neither end has a tension imbalance greater than the preset imbalance threshold, the status is set to free vibration. Calculate the phase difference between the first-end swing angle sequence and the last-end swing angle sequence. When the phase difference is within a preset in-phase interval, determine that the tension change at both ends of the line within the monitored section is either stretching or relaxing in the same direction, and mark the tension mode as in the same direction. When the phase difference is within a preset out-of-phase interval, determine that the tension change at both ends of the line within the monitored section is either stretching at one end or relaxing at the other end, and mark the tension mode as alternating. In other cases, mark the tension mode as disordered. When the state is identified as double-ended forced and the tension mode is marked as alternating, the coupling correction coefficient is set to a first correction value greater than 1; when the state is identified as double-ended forced and the tension mode is marked as unidirectional, the coupling correction coefficient is set to a second correction value greater than 1 and less than the first correction value; when the state is identified as single-ended forced, the coupling correction coefficient is set to a third correction value greater than 1 and less than the second correction value; in all other cases, the coupling correction coefficient is set to 1. The target risk score is multiplied by the coupling correction coefficient to obtain the appropriate risk score.

3. The method for monitoring transmission line galloping according to claim 1, characterized in that, When there is a risk of galloping on the lines within the monitored area, the existence of this risk is verified, specifically including: The historical icing status of multiple lines within the historical galloping anomaly is obtained, and at least one icing status to be monitored is selected from each of the historical icing statuses. The lines within the historical galloping anomaly and the lines within the monitoring section belong to the same transmission line. The system acquires the locations of multiple lines within the file that have experienced abnormal dancing and are in the state of icing of concern, and determines at least one line segment of concern based on the multiple line locations. Assess the first risk factor for the galloping anomaly caused by the icing condition of the line in question, and assess the second risk factor for the galloping anomaly caused by icing on each of the line segments in question. The existence of galloping risk of the line within the monitored section is verified based on the actual icing location, the actual icing state corresponding to each actual icing location, the first risk coefficient, and each of the second risk coefficients.

4. The transmission line galloping monitoring method according to claim 3, characterized in that, The verification of the existence of galloping risk of the lines within the monitored section based on each actual icing location, the actual icing state corresponding to each actual icing location, the first risk coefficient, and each of the second risk coefficients specifically includes: If the actual icing state corresponding to the actual icing location is the icing state to be concerned, then when the actual icing location exists in the line segment to be concerned corresponding to the actual icing state, the corresponding line segment to be concerned will be determined as the actual line segment. Multiply the first risk coefficient of the actual icing state by the second risk coefficient of the actual line segment to obtain the first risk index of the line galloping abnormality caused by the actual icing location in the monitored section. Based on the first risk index corresponding to each actual icing location, a comprehensive risk index for abnormal galloping of the line within the monitored section is determined. When the comprehensive risk index exceeds the preset index threshold, the verification of the existence of galloping risk of the line in the monitored section is confirmed to be successful.

5. The transmission line galloping monitoring method according to claim 4, characterized in that, The determination of a comprehensive risk index for abnormal galloping of the lines within the monitored section based on a first risk index corresponding to each actual icing location specifically includes: The line segment of concern where a single actual icing location is located is determined as a reference line segment. If the reference line segment exists among the line segments of concern corresponding to the icing state of concern, then the icing state of concern is determined as a reference icing state. Multiply the first risk coefficient of the reference icing state by the second risk coefficient of the reference line segment to obtain the second risk index corresponding to the reference icing state; The second risk index corresponding to at least one of the reference icing states is added together to obtain the overall risk index of the line in the monitored section caused by a single actual icing location. Based on the overall risk index, the weight corresponding to each actual icing location is determined, and the first risk index corresponding to each actual icing location is multiplied by the weight and summed to obtain the comprehensive risk index of abnormal galloping of the line within the monitored section.

6. The method for monitoring transmission line galloping according to claim 3, characterized in that, The step of adjusting and optimizing the initial risk score based on the actual terrain type to obtain the target risk score specifically includes: Obtain the terrain types of the areas where multiple lines within the specified range are located in the icing state to be monitored, and filter at least one terrain type to be monitored from each of the terrain types; Assess the third risk coefficient of the abnormal line galloping caused by the terrain type of concern. If the actual icing state corresponding to the actual icing location is the icing state of concern, then when the actual terrain type exists among the terrain types of concern corresponding to the actual icing state, multiply the first risk coefficient of the actual icing state by the third risk coefficient of the actual terrain type to obtain the multiplication result corresponding to the actual icing state. The summation of the multiplication results corresponding to each of the actual icing states yields the abnormal risk index of the actual terrain type causing abnormal line galloping within the monitored section. Based on the abnormal risk index, a level correction factor is determined. The initial risk score is multiplied by the level correction factor to obtain the target risk score. The larger the abnormal risk index, the larger the level correction factor, and the level correction factor is not less than 1.

7. The method for monitoring transmission line galloping according to claim 6, characterized in that, The method further includes: When the verification of the existence of galloping risk of the line in the monitoring file passes, the abnormal risk index is compared with the preset threshold. If the abnormal risk index exceeds the preset threshold, then the risk of line vibration within the monitored section is verified again. If the verification of the existence of galloping risk of the line in the monitoring file fails, and the abnormal risk index exceeds the preset threshold, then the existence of galloping risk of the line in the monitoring file is verified. If the abnormal risk index does not exceed the preset threshold, it is verified that there is no risk of line galloping within the monitored area.

8. A transmission line galloping monitoring system, characterized in that, include: The information acquisition module (11) is used to acquire the actual galloping parameters of the line within the monitoring section and the actual icing parameters of at least one actual icing location, and to acquire the actual terrain type and actual environmental parameters of the area where the line within the monitoring section is located. The condition determination module (12) is used to determine the actual icing state corresponding to the actual icing position based on the actual icing parameters, and to determine whether the icing in the line within the monitored section reaches the galloping induction condition based on the actual icing state. The risk verification module (13) is used to determine whether there is a galloping risk in the line under monitoring based on the actual galloping parameters, the actual icing state and the actual environmental parameters when the icing in the line under monitoring reaches the galloping induction condition. When there is a galloping risk in the line under monitoring, the module verifies the existence of the galloping risk in the line under monitoring. The risk scoring module (14) is used to determine the initial risk score of the galloping risk of the line in the monitoring section when the galloping risk existence verification of the line in the monitoring section passes; The scoring optimization module (15) is used to adjust and optimize the initial risk score according to the actual terrain type to obtain the target risk score; The risk warning module (16) is used to adjust and optimize the target risk score based on the reference end swing angle data of the upstream line and the reference beginning swing angle data of the downstream line in the monitored section, to obtain a suitable risk score, and to send warning information to the terminal of the operation and maintenance personnel based on the suitable risk score.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it implements the method of any one of claims 1-7.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor loads and executes the computer program, it implements the method of any one of claims 1-7.

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