Power transmission line deicing jump risk judgment method and device, medium and equipment

Abstract

The invention relates to the technical field of line safety, and provides a power transmission line deicing jump risk judgment method and device, a medium and equipment, and the method comprises the steps: obtaining a historical fault structure parameter data set which comprises the structure parameters of a plurality of groups of power transmission line deicing jump fault cases; determining a deicing jump risk judgment threshold based on the historical fault structure parameter data set; according to the ice-shedding jump risk judgment threshold value, a structure parameter prior judgment strategy is constructed; and based on the structure parameter prior judgment strategy, performing deicing jump risk judgment on a target gear of the to-be-judged power transmission line, and identifying whether the target gear is a risk gear or not. According to the embodiment of the invention, low-cost and high-efficiency screening of the risk grade of the whole line in the early stage of operation and maintenance or the planning and design stage is realized by depending on the line design parameters which are easy to obtain, the probability of faults caused by deicing jump of the power transmission line is reduced, and safe and stable operation of the power transmission line is guaranteed.

Description

Technical Field

[0001] This disclosure relates to the field of line safety technology, and more specifically, to a method, device, medium, and equipment for judging the risk of de-icing and jumping of transmission lines. Background Technology

[0002] Ice shedding and subsequent jumps on transmission lines are a major cause of serious accidents such as line flashovers, line breaks, and even tower collapses. A transmission line often spans tens or even hundreds of kilometers and contains numerous spans with different lengths and elevation differences. In actual operation, it has been found that even under the same weather conditions, the probability of ice shedding and jumps causing faults varies significantly among different spans. However, indiscriminate monitoring and early warning of the entire line would result in a huge waste of human and material resources.

[0003] Among the relevant technologies, early warning for the risk of ice break jumps mainly relies on two types of technologies: one is the prediction method based on meteorological monitoring and numerical simulation, which requires the acquisition of accurate real-time or simulated data such as micro-meteorology, ice thickness and line tension. The calculation is complex and costly, and it is difficult to apply to the comprehensive assessment of long-distance lines. The other is the real-time monitoring based on line sensors (such as video and tilt monitoring devices). Although this method is direct, it is a post-event or in-event response. It requires a large number of points, resulting in huge investment and maintenance costs, and it cannot provide risk foresight in the early stages of planning, design or operation and maintenance. Summary of the Invention

[0004] This disclosure provides at least one method, device, medium, and equipment for assessing the risk of transmission line de-icing jump. By relying on easily obtainable line design parameters, it achieves low-cost and high-efficiency screening of risk levels for the entire line in the early stages of operation and maintenance or planning and design, reducing the probability of transmission line failures caused by de-icing jump and ensuring the safe and stable operation of transmission lines.

[0005] This disclosure provides a method for assessing the risk of power transmission line de-icing and tripping, including: Obtain a historical fault structure parameter dataset, which includes the structure parameters of multiple transmission line de-icing and tripping fault cases; Based on the historical fault structure parameter dataset, a threshold for judging the risk of ice-breaking jump is determined; and, based on the threshold for judging the risk of ice-breaking jump, a priori judgment strategy for structure parameters is constructed. Based on the prior judgment strategy of the structural parameters, the target span of the transmission line to be judged is subjected to de-icing jump risk judgment to identify whether the target span is a risk span.

[0006] In some possible embodiments, obtaining the historical fault structure parameter dataset includes: Obtain multiple sets of historical transmission line de-icing and tripping fault cases; For each group of historical transmission line de-icing tripping fault cases, the structural parameters of the fault span are extracted, and the structural parameters of the normal spans adjacent to the fault span are also extracted; wherein, the structural parameters include span distance and elevation difference; The structural parameters of the fault file and the structural parameters of the normal file from the same set of historical transmission line de-icing and tripping fault cases are grouped into a set of case data. The historical fault structure parameter dataset is constructed based on the case data corresponding to each group of historical transmission line de-icing and tripping fault cases.

[0007] In some possible embodiments, determining the de-icing jump risk judgment threshold based on the historical fault structure parameter dataset includes: Based on the gear distance values ​​corresponding to the fault gears in each group of case data, the gear distance distribution characteristics of all fault gears are determined; and the de-icing jump risk judgment threshold is determined according to the gear distance distribution characteristics. The step of constructing a priori judgment strategy for structural parameters based on the de-icing jump risk judgment threshold includes: The prior judgment strategy for structural parameters is constructed based on the gear spacing distinction threshold; wherein, the prior judgment strategy for structural parameters includes a first judgment condition and a second judgment condition; When the gear gap of the gear to be judged is greater than the gear gap distinction threshold, the first judgment condition is applied, including: judging whether the gear gap of the gear to be judged meets the gear gap judgment condition. When the gear distance of the gear to be judged is not greater than the gear distance differentiation threshold, the second judgment condition is applied, including: judging whether the gear distance and height difference of the gear to be judged meet the height difference judgment condition.

[0008] In some possible embodiments, the step of assessing the risk of de-icing jump in the target span of the transmission line to be assessed based on the prior judgment strategy of the structural parameters includes: Extract the gear distance and height difference of the target gear, and extract the gear distance and height difference of at least two adjacent reference gears of the target gear; The target file and the reference file are combined to form a target judgment group; and the average target distance and average target height difference corresponding to the target judgment group are calculated. The gear length judgment condition is constructed based on the average target gear length; and the height difference judgment condition is constructed based on the average target gear length and the average target height difference. Based on the relationship between the target span and the span differentiation threshold, the first judgment condition or the second judgment condition is selected to make a judgment on the de-icing jump risk of the target span of the transmission line to be judged.

[0009] In some possible embodiments, the gear shift determination criteria include a first gear shift determination threshold and a second gear shift determination threshold; constructing the gear shift determination criteria based on the target gear shift average includes: The first gear distance determination threshold is determined based on the average value of the target gear distance; Based on the gear ranges in the target judgment group and the mean of the target gear ranges, calculate the standard deviation of the target gear ranges for the target judgment group. The second gear distance determination threshold is determined based on the mean of the target gear distance and the standard deviation of the target gear distance; Accordingly, the elevation difference judgment condition includes a first elevation difference judgment threshold and a second elevation difference judgment threshold; the step of constructing the elevation difference judgment condition based on the average target span and the average target elevation difference includes: The first height difference determination threshold is determined based on the average value of the target gear distance; Based on the elevation differences in the target judgment group and the mean of the target elevation differences, calculate the standard deviation of the target elevation differences in the target judgment group; The second height difference determination threshold is determined based on the mean of the target height difference and the standard deviation of the target height difference.

[0010] In some possible embodiments, the step of assessing the de-icing jump risk of the target span of the transmission line to be assessed includes: If the first judgment condition is selected, then if the gear gap of the target gear is not less than the first gear gap judgment threshold and the gear gap of the target gear is not less than the second gear gap judgment threshold, the target gear is judged to be a risk gear. If the second judgment condition is selected, then if the distance between the target sections is not less than the first height difference judgment threshold and the height difference between the target sections is not less than the second height difference judgment threshold, the target section is judged to be a risk section.

[0011] In some possible embodiments, after identifying whether the target file is a risky file, the process includes: If the target file is a risk file, the line information of the target file is transmitted to the transmission line early warning terminal.

[0012] This disclosure provides a device for judging the risk of power transmission line de-icing and skipping, including: The data acquisition module is used to acquire a historical fault structure parameter dataset, which includes the structure parameters of multiple transmission line de-icing and tripping fault cases. The strategy construction module is used to determine the de-icing jump risk judgment threshold based on the historical fault structure parameter dataset; and to construct a priori judgment strategy for structure parameters based on the de-icing jump risk judgment threshold. The risk assessment module is used to assess the risk of ice-free jumping of the target section of the transmission line to be assessed based on the prior assessment strategy of the structural parameters, and to identify whether the target section is a risk section.

[0013] In some possible embodiments, the data acquisition module is specifically used for: Obtain multiple sets of historical transmission line de-icing and tripping fault cases; For each group of historical transmission line de-icing tripping fault cases, the structural parameters of the fault span are extracted, and the structural parameters of the normal spans adjacent to the fault span are also extracted; wherein, the structural parameters include span distance and elevation difference; The structural parameters of the fault file and the structural parameters of the normal file from the same set of historical transmission line de-icing and tripping fault cases are grouped into a set of case data. The historical fault structure parameter dataset is constructed based on the case data corresponding to each group of historical transmission line de-icing and tripping fault cases.

[0014] In some possible embodiments, the policy building module is specifically used for: Based on the gear distance values ​​corresponding to the fault gears in each group of case data, the gear distance distribution characteristics of all fault gears are determined; and the de-icing jump risk judgment threshold is determined according to the gear distance distribution characteristics. The strategy construction module is specifically used for: The prior judgment strategy for structural parameters is constructed based on the gear spacing distinction threshold; wherein, the prior judgment strategy for structural parameters includes a first judgment condition and a second judgment condition; When the gear gap of the gear to be judged is greater than the gear gap distinction threshold, the first judgment condition is applied, including: judging whether the gear gap of the gear to be judged meets the gear gap judgment condition. When the gear distance of the gear to be judged is not greater than the gear distance differentiation threshold, the second judgment condition is applied, including: judging whether the gear distance and height difference of the gear to be judged meet the height difference judgment condition.

[0015] In some possible embodiments, the risk assessment module is specifically used for: Extract the gear distance and height difference of the target gear, and extract the gear distance and height difference of at least two adjacent reference gears of the target gear; The target file and the reference file are combined to form a target judgment group; and the average target distance and average target height difference corresponding to the target judgment group are calculated. The gear length judgment condition is constructed based on the average target gear length; and the height difference judgment condition is constructed based on the average target gear length and the average target height difference. Based on the relationship between the target span and the span differentiation threshold, the first judgment condition or the second judgment condition is selected to make a judgment on the de-icing jump risk of the target span of the transmission line to be judged.

[0016] In some possible embodiments, the gear shift determination conditions include a first gear shift determination threshold and a second gear shift determination threshold; the risk determination module is specifically used for: The first gear distance determination threshold is determined based on the average value of the target gear distance; Based on the gear ranges in the target judgment group and the mean of the target gear ranges, calculate the standard deviation of the target gear ranges for the target judgment group. The second gear distance determination threshold is determined based on the mean of the target gear distance and the standard deviation of the target gear distance; Accordingly, the elevation difference judgment conditions include a first elevation difference judgment threshold and a second elevation difference judgment threshold; the risk judgment module is specifically used for: The first height difference determination threshold is determined based on the average value of the target gear distance; Based on the elevation differences in the target judgment group and the mean of the target elevation differences, calculate the standard deviation of the target elevation differences in the target judgment group; The second height difference determination threshold is determined based on the mean of the target height difference and the standard deviation of the target height difference.

[0017] In some possible embodiments, the risk assessment module is specifically used for: If the first judgment condition is selected, then if the gear gap of the target gear is not less than the first gear gap judgment threshold and the gear gap of the target gear is not less than the second gear gap judgment threshold, the target gear is judged to be a risk gear. If the second judgment condition is selected, then if the distance between the target sections is not less than the first height difference judgment threshold and the height difference between the target sections is not less than the second height difference judgment threshold, the target section is judged to be a risk section.

[0018] In some possible embodiments, the risk assessment module is further used for: If the target file is a risk file, the line information of the target file is transmitted to the transmission line early warning terminal.

[0019] This disclosure provides a computer device, including a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the transmission line de-icing and tripping risk assessment method as described in any of the above possible embodiments is executed.

[0020] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the transmission line de-icing jump risk assessment method as described in any of the possible embodiments above.

[0021] The transmission line de-icing jump risk assessment method, device, medium, and equipment provided in this disclosure analyze the structural parameters of historical fault cases to determine a quantitative risk assessment threshold, and construct a priori assessment strategy based on the inherent design parameters of the line. By using easily obtainable line design parameters, it is possible to achieve low-cost and high-efficiency screening of risk levels for the entire line in the early stage of operation and maintenance or planning and design, thereby reducing the probability of transmission line faults caused by de-icing jump and ensuring the safe and stable operation of the transmission line.

[0022] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings referenced in the embodiments will be briefly described below. These drawings are incorporated in and constitute a part of this specification. They illustrate embodiments conforming to this disclosure and, together with the specification, serve to explain the technical solutions of this disclosure. It should be understood that the following drawings only show some embodiments of this disclosure and should not be considered as limiting the scope. Those skilled in the art can obtain other related drawings based on these drawings without creative effort.

[0024] Figure 1 A flowchart of a method for judging the risk of de-icing jump of a transmission line provided in an embodiment of this disclosure is shown; Figure 2 A flowchart is shown below illustrating a method for obtaining a historical fault structure parameter dataset provided in an embodiment of this disclosure. Figure 3 A flowchart of a method for constructing a priori judgment strategy for structural parameters provided in an embodiment of this disclosure is shown; Figure 4 A flowchart of a method for judging the risk of de-icing jumps provided by an embodiment of this disclosure is shown; Figure 5 This diagram illustrates the structure of a transmission line de-icing jump risk assessment device provided in an embodiment of this disclosure; Figure 6 A schematic diagram of the structure of a computer device provided in an embodiment of this disclosure is shown. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0026] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0027] In this document, the term "and / or" merely describes a relationship, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0028] To facilitate understanding of this embodiment, the executing entity of the transmission line de-icing jump risk assessment method provided in this disclosure embodiment will first be described in detail. The executing entity of the transmission line de-icing jump risk assessment method provided in this disclosure embodiment is a computer device. This computer device can be a terminal device or a server. The terminal device can also be a mobile device, user terminal, terminal, handheld device, computing device, vehicle-mounted device, wearable device, etc. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud storage, big data, and artificial intelligence platforms. Optionally, this method can also be applied to an implementation environment composed of computer devices and servers.

[0029] The method for judging the risk of power transmission line de-icing and tripping provided in this application, as illustrated in the accompanying drawings, will be described in detail below. See also... Figure 1 The diagram shows a flowchart of a method for judging the risk of de-icing jump in transmission lines according to an embodiment of this disclosure. The method includes the following steps S101 to S103: S101, Obtain the historical fault structure parameter dataset.

[0030] Understandably, as vital channels for power transmission, power transmission lines may experience faults due to various factors during operation. Among these, de-icing jump faults refer to a special and highly dangerous type of fault where, when ice breaks off from a transmission line, the line may jump due to the loss of weight balance, leading to a malfunction. De-icing jump faults can not only damage the line itself, such as conductor breakage, tower tilting or collapse, but also cause power outages, severely impacting the stability and reliability of power supply, and consequently disrupting the normal order of social production and daily life.

[0031] Here, the historical fault structure parameter dataset consists of the structure parameters of multiple sets of past transmission line de-icing and tripping fault cases. The structure parameters mainly include the span and elevation difference of the line. The span refers to the horizontal distance between the conductors of two adjacent towers, such as 450 meters or 600 meters; the span may vary for transmission lines of different voltage levels and geographical environments. The elevation difference refers to the difference in elevation between the two towers.

[0032] Specifically, in order to extract statistically significant structural patterns from past faults, accurately reflect the various scenarios of transmission line de-icing and tripping faults, and thus provide a basis for subsequent risk assessment, reference is made to... Figure 2 As shown, the process of acquiring historical fault structure parameter datasets may include the following steps S201~S204: S201, obtain multiple sets of historical transmission line de-icing jump fault cases.

[0033] Here, historical transmission line de-icing tripping fault cases can be collected through various channels, such as the fault record system of power companies, which records in detail various fault information that occurs during the operation of transmission lines, including the time, location, and type of fault; typical or special fault cases can also be obtained from relevant power research institutions and academic literature. The collected cases should cover transmission lines in different regions, voltage levels, and geographical environments as much as possible to ensure data diversity.

[0034] S202, for each group of historical transmission line de-icing jump fault cases, extract the structural parameters of the fault file and extract the structural parameters of the normal file adjacent to the fault file.

[0035] Understandably, a span refers to an independent line segment formed between two adjacent towers in a transmission line, and is a basic structural unit of the line. A faulty span refers to a specific span segment in historical cases where an ice-breaking jump fault actually occurred; its structural parameters are crucial for analyzing the causes and characteristics of the fault. Adjacent normal spans refer to the spans directly connected to the faulty span before and after it; these did not experience a fault at the time of the accident, and their structural parameters serve as a comparative reference, helping to more accurately determine whether there are significant anomalies in the structural characteristics of the faulty span. For example, when extracting structural parameters, it is necessary to record not only the span distance and elevation difference of the faulty span, but also the span distance and elevation difference of the adjacent normal spans. By comparison, it can be found whether the span distance of the faulty span might be too large, making it more prone to accumulating uneven ice loads or generating a larger dynamic response during ice breaking.

[0036] S203, group the structural parameters of the fault file and the structural parameters of the normal file from the same set of historical transmission line de-icing trip fault cases into a set of case data.

[0037] Here, each set of case data fully records the structural parameters of the fault section and the adjacent normal section in a fault case. The organization method, centered on the fault point and including nearby reference objects, can form the basic unit for subsequent statistical analysis. Among them, the structural parameters of the fault section and the structural parameters of the normal section from the same set of historical transmission line de-icing trip fault cases are under the same meteorological environment, which ensures that the external variable of meteorological conditions is effectively controlled when making intra-group comparisons, thereby focusing the analysis on the differences in the structural parameters of the line itself.

[0038] S204. Based on the case data corresponding to each group of historical transmission line de-icing and tripping fault cases, the historical fault structure parameter dataset is constructed.

[0039] Understandably, the historical fault structural parameter dataset forms the basis for subsequent risk assessment of ice-breaking jumps. This dataset integrates multiple independent case groups, providing a data foundation for discovering common structural features and quantitative patterns. Through the analysis and mining of a large amount of case data, key structural parameters and influencing factors leading to ice-breaking jump failures can be identified, thereby determining reasonable risk assessment thresholds and strategies.

[0040] In some other embodiments, structural parameters may also include the sag of the line, which is the curvature of the line naturally drooping between two towers and is affected by various factors such as line tension and its own weight; and the cross-sectional area of ​​the conductor, the size of which determines the amount of current it can carry, etc., which are not specifically limited here.

[0041] S102, determine the de-icing jump risk judgment threshold based on the historical fault structural parameter dataset; and construct a priori judgment strategy for structural parameters based on the de-icing jump risk judgment threshold.

[0042] Specifically, the risk assessment threshold for de-icing jump is a critical value used to measure the degree of risk of de-icing jump in transmission lines. By conducting in-depth analysis of historical fault structural parameter datasets, such as using statistical analysis methods, we can find the patterns that lead to de-icing jump faults under different combinations of structural parameters, and then determine a suitable value as the assessment threshold.

[0043] Here, by statistically analyzing the gear spacing of faulty gears in each group of cases in the historical dataset—for example, observing their numerical distribution range and central tendency—a key gear spacing discrimination threshold can be determined. This threshold is derived from summarizing historical fault patterns; for example, if statistics show that the gear spacing of the vast majority of faulty gears exceeds a certain value, such as 550 meters, this value can be used as the boundary for distinguishing gear spacing sizes. Based on the gear spacing values ​​corresponding to the faulty gears in each group of case data, the gear spacing distribution characteristics of all faulty gears can be determined; and based on the gear spacing distribution characteristics, the gear spacing discrimination threshold in the ice-breaking jump risk judgment threshold can be determined.

[0044] In some possible implementations, the span distribution characteristics of all faulted spans may exhibit various forms, such as a normal distribution or a skewed distribution. If it is a normal distribution, the span distances of most faulted spans will be concentrated around a certain value. By calculating the mean and standard deviation, a reasonable range can be determined. Span distances exceeding this range to a certain extent can be considered as critical values ​​with a higher risk of ice-breaking jumps. For example, statistical analysis shows that the average span distance of faulted spans is 550 meters, and the standard deviation is 50 meters. Based on the characteristics of a normal distribution, when the span distance exceeds 650 meters (mean plus twice the standard deviation), the probability of ice-breaking jump faults increases significantly. In this case, 650 meters can be used as the threshold for judging the risk of ice-breaking jumps in terms of span distance. It should be noted that the span distribution characteristics and judgment thresholds differ for transmission lines in different regions and at different voltage levels, and a comprehensive judgment must be made based on specific data and actual conditions.

[0045] In some possible embodiments, the Z-scores (standardized values) of the gap and height difference of fault segments within each fault case group in the historical fault structure parameter dataset can also be statistically analyzed. Specifically, the gap Z-score and height difference Z-score for each fault segment are calculated separately, i.e., the standard deviation multiple by which its gap or height difference value deviates from the average value within its case group. By statistically analyzing the distribution of the calculated Z-scores for all fault segments, a significant central tendency can be observed. For example, statistical analysis may find that more than 68% of fault segments have a gap Z-score greater than 0.75; at the same time, the height difference Z-score also shows a similar distribution characteristic. Based on this statistical regularity, the critical value of this Z-score (e.g., 0.75) can be set as a key threshold for judging the risk of de-icing jump, i.e., the standardized threshold for gap or height difference. In this way, the statistical characteristic that fault segments are "significantly greater than the average level within the group" is transformed into a quantifiable and reusable general judgment standard. This standardized threshold, together with the aforementioned gear spacing distinction threshold, constitutes a complete threshold system for judging the risk of de-icing jumps. This system enables the judgment strategy to consider both the absolute scale of the parameters (through the gear spacing distinction threshold) and to more accurately assess their relative prominence in the local environment (through the standardized threshold).

[0046] Furthermore, based on the determined threshold for judging the risk of de-icing jump, a priori judgment strategy for structural parameters can be constructed. This strategy is a pre-defined system of judgment rules that can comprehensively evaluate and judge the structural parameters of transmission lines according to the threshold for judging the risk of de-icing jump. Specifically, refer to... Figure 3 As shown, the following steps S301~S303 may be included when constructing a priori judgment strategy for structural parameters: S301, construct the prior judgment strategy for the structural parameters based on the gear spacing distinction threshold.

[0047] Here, the span differentiation threshold is a key boundary value for classifying transmission line spans into different risk levels. When constructing a strategy, different judgment conditions and rules can be set based on this threshold. The structural parameter prior judgment strategy includes a first judgment condition and a second judgment condition, which are formulated separately based on the relationship between the span and the span differentiation threshold, aiming to conduct targeted risk judgments for transmission lines with different span conditions.

[0048] S302, when the gear distance of the gear to be judged is greater than the gear distance differentiation threshold, the first judgment condition is applied, including: judging whether the gear distance of the gear to be judged meets the gear distance judgment condition.

[0049] Specifically, when the gear length of the gear to be judged is greater than the gear length differentiation threshold, the first judgment condition is applied, that is, judging whether the gear length of the gear to be judged meets the gear length judgment condition. This path is for the case of large gear lengths, mainly focusing on whether the gear length parameter itself shows abnormally high risk characteristics relative to the surrounding environment. The gear length judgment condition needs to be further refined and customized based on the de-icing jump risk judgment threshold and actual gear length data. For example, if the gear length differentiation threshold is 600 meters, when the gear length of the gear to be judged is greater than 600 meters, it is further judged whether its gear length exceeds the de-icing jump risk judgment threshold of 650 meters (calculated based on specific data). If it exceeds, it indicates that the gear length is in a high-risk range and there may be a risk of de-icing jump; if it does not exceed, the risk is relatively low only from the perspective of gear length, but it needs to be judged comprehensively in combination with other structural parameters.

[0050] S303, when the gear distance of the gear to be judged is not greater than the gear distance differentiation threshold, the second judgment condition is applied, including: judging whether the gear distance and height difference of the gear to be judged meet the height difference judgment condition.

[0051] Specifically, in the statistical analysis of historical fault structure parameter datasets, this disclosure found that although the span of some faulty sections did not exceed the overall differentiation threshold, the terrain elevation difference at their locations was significant. This indicates that even when the span is relatively small, a large elevation difference between line suspension points can become a key risk factor inducing de-icing jumps. Therefore, this disclosure proposes a second judgment condition to cover such elevation difference compensation risk scenarios: for cases where the span is not greater than the differentiation threshold, the judgment process needs to consider both the span and elevation difference. The elevation difference judgment condition is used to assess whether the elevation difference parameter exceeds the corresponding risk threshold determined based on the local reference group. This condition may stipulate that when the span of the target section is in a lower range, if its elevation difference exceeds a certain value or is significantly greater than the average elevation difference level of neighboring sections, then the section should still be identified as having a potential de-icing jump risk.

[0052] S103, based on the prior judgment strategy of the structural parameters, the target section of the transmission line to be judged is subjected to de-icing jump risk judgment, and the target section is identified as a risk section.

[0053] Understandably, a target span refers to a specific transmission line span that needs to be assessed for the risk of ice-breaking jumps. In practice, staff collect structural parameters of the target span, such as span length, elevation difference, and sag, and then input them into a priori structural parameter judgment strategy. Through the judgment rules in the strategy, these parameters are compared and analyzed. If the parameter combination exceeds a set threshold range, the target span is determined to be a risk span, meaning that the span may jump when ice detaches, potentially causing a fault, requiring appropriate preventative measures. Conversely, if the parameter combination is within the threshold range, it is determined to be a non-risk span, indicating that the likelihood of an ice-breaking jump fault occurring in the span under normal conditions is low. This effectively assesses and identifies the risk of ice-breaking jumps in transmission lines, ensuring the safe and stable operation of the power system.

[0054] Specifically, in order to apply the aforementioned prior judgment strategy to the judgment of specific gear levels and achieve objective and quantitative risk identification, refer to Figure 4 As shown, when assessing the risk of ice-free jumping in a target span of a transmission line, the following steps S401~S404 may be included: S401, extract the gear distance and height difference of the target gear, and extract the gear distance and height difference of at least two adjacent reference gears of the target gear.

[0055] Here, the target section's span and elevation difference are its basic structural parameters, directly reflecting the geometric characteristics of the section; the parameters of adjacent reference sections can provide a basis for comparison and reference in judging the target section, because adjacent sections often have certain similarities in terms of geographical environment and climate conditions.

[0056] S402, the target file and the reference file are combined to form a target judgment group; and the average target distance and the average target height difference corresponding to the target judgment group are calculated.

[0057] Understandably, grouping target files and reference files into a target judgment group creates a relatively independent analysis unit, facilitating a comprehensive evaluation of the target files. By calculating the average target range and the average target elevation difference, random errors in individual parameters can be eliminated, more accurately reflecting the overall level of range and elevation difference within the judgment group.

[0058] S403, construct the gear distance judgment condition based on the average target gear distance; and construct the height difference judgment condition based on the average target gear distance and the average target height difference.

[0059] Here, the gear gap judgment criteria include a first gear gap judgment threshold and a second gear gap judgment threshold. The first gear gap judgment threshold is used to initially measure whether the gear gap of the target gear is not lower than the average level of its judgment group, and the second gear gap judgment threshold is used to further measure whether the gear gap of the target gear is statistically significantly higher than the average level within the group. Specifically, the gear gap judgment criteria can be constructed through the following steps (1) to (3): (1) Determine the first gear distance judgment threshold based on the average value of the target gear distance; (2) Based on the gear range of each gear range in the target judgment group and the mean of the target gear range, calculate the standard deviation of the target gear range of the target judgment group. (3) Determine the second gear distance judgment threshold based on the mean of the target gear distance and the standard deviation of the target gear distance; Specifically, based on empirical data and statistical analysis, the average target gear distance can be multiplied by an appropriate coefficient (set according to the actual situation) to obtain the first gear distance judgment threshold. For example, if the average target gear distance is 500 meters, and based on the actual situation and historical experience, the coefficient is determined to be 1.2, then the first gear distance judgment threshold is 600 meters.

[0060] Furthermore, the standard deviation of the target gear range can be calculated by subtracting the mean of the target gear range from each gear range in the target judgment group, and then dividing by the standard deviation of the gear range in the target judgment group. Based on the mean of the target gear range and the standard deviation of the gear range in the target judgment group, and combined with a preset standardized threshold for gear range obtained from statistical analysis of historical fault data, a second gear range judgment threshold can be set. For example, the second gear range judgment threshold can be calculated using the following formula: Second gear range judgment threshold = Mean of target gear range + (Preset standardized threshold for gear range × Standard deviation of gear range in the target judgment group). The preset standardized threshold for gear range (e.g., 0.75) can be obtained from statistical analysis of historical fault data. When the gear range of the target gear is greater than or equal to the second gear range judgment threshold, it can be determined that the gear range of the target gear has a high risk.

[0061] Here, the elevation difference judgment criteria include a first elevation difference judgment threshold and a second elevation difference judgment threshold. The first elevation difference judgment threshold is used to initially measure whether the elevation difference of the target grade is not lower than the average level of its judgment group. The second elevation difference judgment threshold is used to further measure whether the elevation difference of the target grade is statistically significantly higher than the average level within the group. Specifically, the elevation difference judgment criteria can be constructed through the following steps (a) to (c): (a) Determine the first height difference judgment threshold based on the average value of the target gear distance; (b) Calculate the standard deviation of the target elevation difference of the target judgment group based on each elevation difference in the target judgment group and the mean of the target elevation difference; (c) Determine the second height difference judgment threshold based on the mean of the target height difference and the standard deviation of the target height difference.

[0062] Understandably, since span length and elevation difference together constitute the dynamic response characteristics of a railway line, historical data analysis suggests that when the span length does not exceed the distinguishing threshold, the risk-sensitive factors of the line may shift towards elevation difference. Therefore, the initial requirements for elevation difference parameters can be indirectly reflected by the average target span length, thereby determining the first elevation difference judgment threshold. For example, if the average target span length is 500 meters, and a conversion coefficient of 1.1 is set based on the correlation between span length and elevation difference in historical statistics, then the first elevation difference judgment threshold can be set to 550 meters.

[0063] Similarly, the standard deviation of the target height difference can be calculated by subtracting the mean of the target height difference from each height difference in the target judgment group, and then dividing by the standard deviation of the height difference in the target judgment group.

[0064] S404, based on the relationship between the span of the target span and the span differentiation threshold, select the first judgment condition or the second judgment condition to perform a de-icing jump risk assessment on the target span of the transmission line to be judged.

[0065] Specifically, the target vehicle's range is compared with a range differentiation threshold, serving as the logical dividing point in the risk assessment process. On one hand, if the target vehicle's range is greater than this threshold, it indicates that the vehicle segment structurally belongs to the large range category, and the first judgment condition applies, i.e., risk assessment is based on the range judgment condition. The core of this condition is to assess the relative significance of the target vehicle's range within its target judgment group. During the judgment, it is necessary to verify whether the target vehicle's range simultaneously meets two sub-conditions: First, the target vehicle's range is not less than the first range judgment threshold, which can usually be set as a preset multiple of the average range of the target judgment group's ranges to ensure that the target vehicle's range reaches or exceeds the general level of its local environment; Second, the target vehicle's range is not less than the second range judgment threshold, which is composed of the sum of the average range of the target judgment group's ranges plus the standard deviation of the target ranges within the group (or the product of the average range of the target judgment group's ranges plus a preset multiple of the standard deviation of the target ranges). This condition is used to determine whether the target vehicle's range exhibits a statistically significant deviation. If both of the above conditions are met, the target level is determined to be a risk level for ice-breaking jumps.

[0066] On the other hand, if the target gear range's range is not greater than the range distinction threshold, it indicates that the gear range is not prominent in terms of range dimension, and the second judgment condition is applied instead, namely, risk judgment based on the elevation difference judgment condition. This approach mainly considers that when the range is small, the elevation difference may become the dominant risk compensation factor. During the judgment, two sub-conditions also need to be verified: First, the target gear range's range is not less than the first elevation difference judgment threshold (this threshold is set based on the average target range), used to establish an elevation difference risk benchmark adapted to the current range level; Second, the target gear range's elevation difference is not less than the second elevation difference judgment threshold, which is composed of the sum of the average elevation difference of the target judgment group and the standard deviation of the target elevation difference (or the product of the average elevation difference of the target judgment group and a preset multiple of the standard deviation of the target elevation difference), used to determine whether the elevation difference of the target gear range is significantly greater than the average level of its local environment. If both conditions are met simultaneously, the target gear range is determined to be a risky gear range.

[0067] In some possible embodiments, after completing the risk assessment and identifying the target section as a risk section based on the prior judgment strategy of structural parameters, subsequent early warning information processing steps may be included. Specifically, the line information of the target section can be used to generate specific risk early warning data, which is then transmitted to the transmission line early warning terminal via a communication network. The transmitted line information typically includes the unique identifier code of the risk section, its geographical coordinates, the name of the line to which it belongs, and key structural parameters for determining the risk (such as span distance and elevation difference) and the threshold values ​​exceeded. Upon receiving this information, the transmission line early warning terminal can enter it into the early warning database and highlight it on the monitoring interface or issue a prompt.

[0068] In this way, the output of the aforementioned automated risk identification process can be directly connected to the existing line operation and maintenance management system or monitoring platform, thereby providing operation and maintenance personnel with clear and specific key focus areas, assisting them in formulating differentiated inspection plans, arranging fixed-point monitoring, or initiating further refined analysis, ultimately realizing a complete technical process from early risk identification to closed-loop management of early warning information.

[0069] The transmission line de-icing jump risk assessment method, device, medium, and equipment provided in this disclosure analyze the structural parameters of historical fault cases to determine a quantitative risk assessment threshold, and construct a priori assessment strategy based on the inherent design parameters of the line. By using easily obtainable line design parameters, it is possible to achieve low-cost and high-efficiency screening of risk levels for the entire line in the early stage of operation and maintenance or planning and design, thereby reducing the probability of transmission line faults caused by de-icing jump and ensuring the safe and stable operation of the transmission line.

[0070] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0071] Based on the same inventive concept, this disclosure also provides a transmission line de-icing jump risk assessment device corresponding to the transmission line de-icing jump risk assessment method. Since the principle of the device in this disclosure for solving the problem is similar to the transmission line de-icing jump risk assessment method described above in this disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0072] Reference Figure 5 The diagram shown is a schematic of a transmission line de-icing jump risk assessment device 500 provided in an embodiment of this disclosure. The device includes: Data acquisition module 501 is used to acquire a historical fault structure parameter dataset, which includes the structure parameters of multiple transmission line de-icing and jump fault cases. The strategy construction module 502 is used to determine the de-icing jump risk judgment threshold based on the historical fault structure parameter dataset; and to construct a priori judgment strategy for structure parameters based on the de-icing jump risk judgment threshold. The risk assessment module 503 is used to assess the risk of ice-free jumping of the target section of the transmission line to be assessed based on the prior assessment strategy of the structural parameters, and to identify whether the target section is a risk section.

[0073] In some possible embodiments, the data acquisition module 501 is specifically used for: Obtain multiple sets of historical transmission line de-icing and tripping fault cases; For each group of historical transmission line de-icing tripping fault cases, the structural parameters of the fault span are extracted, and the structural parameters of the normal spans adjacent to the fault span are also extracted; wherein, the structural parameters include span distance and elevation difference; The structural parameters of the fault file and the structural parameters of the normal file from the same set of historical transmission line de-icing and tripping fault cases are grouped into a set of case data. The historical fault structure parameter dataset is constructed based on the case data corresponding to each group of historical transmission line de-icing and tripping fault cases.

[0074] In some possible embodiments, the strategy construction module 502 is specifically used for: Based on the gear distance values ​​corresponding to the fault gears in each group of case data, the gear distance distribution characteristics of all fault gears are determined; and the de-icing jump risk judgment threshold is determined according to the gear distance distribution characteristics. The strategy construction module 502 is specifically used for: The prior judgment strategy for structural parameters is constructed based on the gear spacing distinction threshold; wherein, the prior judgment strategy for structural parameters includes a first judgment condition and a second judgment condition; When the gear gap of the gear to be judged is greater than the gear gap distinction threshold, the first judgment condition is applied, including: judging whether the gear gap of the gear to be judged meets the gear gap judgment condition. When the gear distance of the gear to be judged is not greater than the gear distance differentiation threshold, the second judgment condition is applied, including: judging whether the gear distance and height difference of the gear to be judged meet the height difference judgment condition.

[0075] In some possible embodiments, the risk assessment module 503 is specifically used for: Extract the gear distance and height difference of the target gear, and extract the gear distance and height difference of at least two adjacent reference gears of the target gear; The target file and the reference file are combined to form a target judgment group; and the average target distance and average target height difference corresponding to the target judgment group are calculated. The gear length judgment condition is constructed based on the average target gear length; and the height difference judgment condition is constructed based on the average target gear length and the average target height difference. Based on the relationship between the target span and the span differentiation threshold, the first judgment condition or the second judgment condition is selected to make a judgment on the de-icing jump risk of the target span of the transmission line to be judged.

[0076] In some possible embodiments, the gear shift determination conditions include a first gear shift determination threshold and a second gear shift determination threshold; the risk determination module 503 is specifically used for: The first gear distance determination threshold is determined based on the average value of the target gear distance; Based on the gear ranges in the target judgment group and the mean of the target gear ranges, calculate the standard deviation of the target gear ranges for the target judgment group. The second gear distance determination threshold is determined based on the mean of the target gear distance and the standard deviation of the target gear distance; Accordingly, the elevation difference judgment conditions include a first elevation difference judgment threshold and a second elevation difference judgment threshold; the risk judgment module 503 is specifically used for: The first height difference determination threshold is determined based on the average value of the target gear distance; Based on the elevation differences in the target judgment group and the mean of the target elevation differences, calculate the standard deviation of the target elevation differences in the target judgment group; The second height difference determination threshold is determined based on the mean of the target height difference and the standard deviation of the target height difference.

[0077] In some possible embodiments, the risk assessment module 503 is specifically used for: If the first judgment condition is selected, then if the gear gap of the target gear is not less than the first gear gap judgment threshold and the gear gap of the target gear is not less than the second gear gap judgment threshold, the target gear is judged to be a risk gear. If the second judgment condition is selected, then if the distance between the target sections is not less than the first height difference judgment threshold and the height difference between the target sections is not less than the second height difference judgment threshold, the target section is judged to be a risk section.

[0078] In some possible embodiments, the risk assessment module 503 is further configured to: If the target file is a risk file, the line information of the target file is transmitted to the transmission line early warning terminal.

[0079] Based on the same technical concept, this disclosure also provides a computer device. (See also...) Figure 6 The diagram shows the structure of a computer device 600 provided in this embodiment of the present disclosure, including a processor 601, a memory 602, and a bus 603. The memory 602 stores execution instructions and includes a main memory 6021 and an external memory 6022. The main memory 6021, also called internal memory, is used to temporarily store computational data in the processor 601 and data exchanged with external memory 6022 such as a hard disk. The processor 601 exchanges data with the external memory 6022 through the main memory 6021.

[0080] In this embodiment, the memory 602 is specifically used to store application code that executes the solution of this application, and its execution is controlled by the processor 601. That is, when the computer device 600 is running, the processor 601 communicates with the memory 602 through the bus 603, so that the processor 601 executes the application code stored in the memory 602, and then executes the method described in any of the foregoing embodiments.

[0081] The memory 602 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0082] Processor 601 may be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor.

[0083] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the computer device 600. In other embodiments of this application, the computer device 600 may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0084] This disclosure also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program performs the steps of the transmission line de-icing and tripping risk assessment method described in the above-described method embodiments. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0085] This disclosure also provides a computer program product carrying program code. The program code includes instructions that can be used to execute the steps of the transmission line de-icing and jump risk assessment method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0086] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0087] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this disclosure, it should be understood that the disclosed systems and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0088] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0089] In addition, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0090] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit it. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be determined by the protection scope of the claims.

Claims

1. A method for assessing the risk of de-icing jump in transmission lines, characterized in that, include: Obtain a historical fault structure parameter dataset, which includes the structure parameters of multiple transmission line de-icing and tripping fault cases; The threshold for judging the risk of ice-breaking jump is determined based on the historical fault structure parameter dataset. Furthermore, based on the aforementioned ice-breaking jump risk judgment threshold, a priori judgment strategy for structural parameters is constructed; Based on the prior judgment strategy of the structural parameters, the target span of the transmission line to be judged is subjected to de-icing jump risk judgment to identify whether the target span is a risk span.

2. The method according to claim 1, characterized in that, The process of obtaining the historical fault structure parameter dataset includes: Obtain multiple sets of historical transmission line de-icing and tripping fault cases; For each group of historical transmission line de-icing tripping fault cases, the structural parameters of the fault span are extracted, and the structural parameters of the normal spans adjacent to the fault span are also extracted; wherein, the structural parameters include span distance and elevation difference; The structural parameters of the fault file and the structural parameters of the normal file from the same set of historical transmission line de-icing and tripping fault cases are grouped into a set of case data. The historical fault structure parameter dataset is constructed based on the case data corresponding to each group of historical transmission line de-icing and tripping fault cases.

3. The method according to claim 2, characterized in that, The step of determining the de-icing jump risk threshold based on the historical fault structure parameter dataset includes: Based on the gear distance values ​​corresponding to the fault gears in each group of case data, the gear distance distribution characteristics of all fault gears are determined; and the de-icing jump risk judgment threshold is determined according to the gear distance distribution characteristics. The step of constructing a priori judgment strategy for structural parameters based on the de-icing jump risk judgment threshold includes: The prior judgment strategy for structural parameters is constructed based on the gear spacing distinction threshold; wherein, the prior judgment strategy for structural parameters includes a first judgment condition and a second judgment condition; When the gear gap of the gear to be judged is greater than the gear gap distinction threshold, the first judgment condition is applied, including: judging whether the gear gap of the gear to be judged meets the gear gap judgment condition. When the gear distance of the gear to be judged is not greater than the gear distance differentiation threshold, the second judgment condition is applied, including: judging whether the gear distance and height difference of the gear to be judged meet the height difference judgment condition.

4. The method according to claim 3, characterized in that, The prior judgment strategy based on the structural parameters, which assesses the risk of ice-breaking jump in the target span of the transmission line to be judged, includes: Extract the gear distance and height difference of the target gear, and extract the gear distance and height difference of at least two adjacent reference gears of the target gear; The target file and the reference file are combined to form a target judgment group; and the average target distance and average target height difference corresponding to the target judgment group are calculated. The gear length judgment condition is constructed based on the average target gear length; and the height difference judgment condition is constructed based on the average target gear length and the average target height difference. Based on the relationship between the target span and the span differentiation threshold, the first judgment condition or the second judgment condition is selected to make a judgment on the de-icing jump risk of the target span of the transmission line to be judged.

5. The method according to claim 4, characterized in that, The gear shift determination criteria include a first gear shift determination threshold and a second gear shift determination threshold; the step of constructing the gear shift determination criteria based on the average target gear shift includes: The first gear distance determination threshold is determined based on the average value of the target gear distance; Based on the gear ranges in the target judgment group and the mean of the target gear ranges, calculate the standard deviation of the target gear ranges for the target judgment group. The second gear distance determination threshold is determined based on the mean of the target gear distance and the standard deviation of the target gear distance; Accordingly, the elevation difference judgment condition includes a first elevation difference judgment threshold and a second elevation difference judgment threshold; the step of constructing the elevation difference judgment condition based on the average target span and the average target elevation difference includes: The first height difference determination threshold is determined based on the average value of the target gear distance; Based on the elevation differences in the target judgment group and the mean of the target elevation differences, calculate the standard deviation of the target elevation differences in the target judgment group; The second height difference determination threshold is determined based on the mean of the target height difference and the standard deviation of the target height difference.

6. The method according to claim 5, characterized in that, The assessment of the de-icing jump risk of the target span of the transmission line to be assessed includes: If the first judgment condition is selected, then if the gear gap of the target gear is not less than the first gear gap judgment threshold and the gear gap of the target gear is not less than the second gear gap judgment threshold, the target gear is judged to be a risk gear. If the second judgment condition is selected, then if the distance between the target sections is not less than the first height difference judgment threshold and the height difference between the target sections is not less than the second height difference judgment threshold, the target section is judged to be a risk section.

7. The method according to any one of claims 1 to 6, characterized in that, After identifying whether the target file is a risk file, the process includes: If the target file is a risk file, the line information of the target file is transmitted to the transmission line early warning terminal.

8. A device for judging the risk of de-icing and jumping of transmission lines, characterized in that, include: The data acquisition module is used to acquire a historical fault structure parameter dataset, which includes the structure parameters of multiple transmission line de-icing and tripping fault cases. The strategy construction module is used to determine the risk judgment threshold for de-icing jump based on the historical fault structure parameter dataset; Furthermore, based on the aforementioned ice-breaking jump risk judgment threshold, a priori judgment strategy for structural parameters is constructed; The risk assessment module is used to assess the risk of ice-free jumping of the target section of the transmission line to be assessed based on the prior assessment strategy of the structural parameters, and to identify whether the target section is a risk section.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

Images