Transmission conductor monitoring method, system and device, storage medium and electronic equipment

Abstract

The invention is suitable for the technical field of power transmission conductor monitoring, and provides a power transmission conductor monitoring method, system and device, a storage medium and electronic device.According to the power transmission conductor monitoring method, a power transmission conductor event flow is obtained, and the power transmission conductor event flow is used for representing position change information of a power transmission conductor; reconstructing based on the transmission conductor event flow to obtain a motion track of the transmission conductor; identifying abnormal motion information of the transmission conductor based on the motion trail; and outputting early warning prompt information under the condition that the abnormal motion information of the power transmission conductor meets an early warning condition. The method can accurately identify the abnormal motion information of the power transmission conductor, and quickly responds to the position change of the conductor for early warning.

Description

Technical Field

[0001] The present application belongs to the technical field of power transmission line monitoring, and more specifically, to a method, system, device, storage medium and electronic equipment for monitoring a power transmission line. Background Art

[0002] In the operation of high-voltage transmission lines, the dancing and deviation of conductors caused by wind are important factors affecting the safe operation of equipment. Therefore, in the field of transmission line monitoring, the dancing and deviation of conductors can cause the conductors to contact other equipment, resulting in short circuits and other accidents.

[0003] At present, traditional transmission line monitoring methods mostly rely on mechanical sensors, which have problems such as slow response speed and insufficient data accuracy. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method, system, device, storage medium and electronic device for monitoring a power transmission line, aiming to solve the technical problems in the prior art that traditional power transmission line monitoring methods mostly rely on mechanical sensors, have slow response speed and insufficient data accuracy.

[0005] To achieve the above object, according to a first aspect of the present application, a method for monitoring a transmission line is provided, the method comprising:

[0006] Acquire a transmission line event stream, wherein the transmission line event stream is used to represent position change information of the transmission line;

[0007] Reconstructing the movement trajectory of the transmission line based on the transmission line event stream;

[0008] Identifying abnormal movement information of the transmission wire based on the movement trajectory;

[0009] When the abnormal movement information of the transmission line meets the warning condition, the warning prompt information is output.

[0010] Optionally, in a possible implementation manner of the first aspect, reconstructing the movement trajectory of the transmission line based on the transmission line event stream includes:

[0011] Clustering multiple continuous events in the transmission line event stream into a group of events, wherein each group of events is used to represent the movement trajectory of the transmission line within a certain period of time, and any two of the continuous events are continuous in spatial position and time sequence;

[0012] By using a polynomial fitting algorithm, curve fitting is performed on each group of events obtained by clustering to obtain the movement trajectory of the transmission line.

[0013] Optionally, in a possible implementation manner of the first aspect, the identifying the abnormal movement information of the transmission line based on the movement trajectory includes:

[0014] Extracting the frequency components of the motion trajectory by a fast Fourier transform algorithm;

[0015] Based on the frequency components of the motion trajectory, identifying whether the transmission line has wire galloping or wire deviation;

[0016] In the case where the transmission line gallops, the maximum galloping distance of the transmission line at different time points is determined, and the movement frequency of the transmission line is determined by analyzing the periodic changes of the movement trajectory.

[0017] Optionally, in a possible implementation manner of the first aspect, when the abnormal movement information of the transmission line meets the warning condition, outputting warning prompt information includes:

[0018] Determining a predicted wind speed value at a location where the power transmission line is located according to the dancing distance and the movement frequency;

[0019] When the predicted wind speed value exceeds a preset first wind speed threshold, it is determined that the abnormal movement information of the transmission line meets the warning condition to trigger the output of the warning prompt information, wherein the warning prompt information includes: the dancing distance, the movement frequency, the predicted wind speed value, and the movement trajectory of the transmission line.

[0020] Optionally, in a possible implementation manner of the first aspect, the identifying the abnormal movement information of the transmission line based on the movement trajectory includes:

[0021] Extracting the frequency components of the motion trajectory by a fast Fourier transform algorithm;

[0022] Based on the frequency components of the motion trajectory, identifying whether the transmission line has wire galloping or wire deviation;

[0023] In the case where the transmission line has a conductor deviation, the conductor deviation distance of the transmission line is determined according to the movement trend of the transmission line.

[0024] Optionally, in a possible implementation manner of the first aspect, when the abnormal movement information of the transmission line meets the warning condition, outputting warning prompt information includes:

[0025] Determining a predicted wind speed value at a location where the transmission line is located according to the line offset distance;

[0026] When the predicted wind speed value exceeds a preset second wind speed threshold, it is determined that the abnormal movement information of the transmission line meets the warning condition to trigger the output of the warning prompt information, wherein the warning prompt information includes: the line offset distance, the predicted wind speed value, and the movement trajectory of the transmission line.

[0027] Optionally, in a possible implementation manner of the first aspect, the method further includes:

[0028] Obtaining the historical dancing distance, historical movement frequency and historical conductor offset distance of the transmission line monitored in a historical period;

[0029] Based on the historical dancing distance and the historical movement frequency, presetting a first wind speed threshold;

[0030] Presetting a second wind speed threshold based on the historical conductor offset distance;

[0031] Through a multiple regression analysis algorithm, a mapping relationship between the conductor galloping of the transmission line and the first wind speed threshold, and a mapping relationship between the conductor offset of the transmission line and the second wind speed threshold are established respectively.

[0032] According to a second aspect of the present application, a monitoring system for a power transmission line is provided, comprising:

[0033] A dynamic visual sensor installed on a transmission tower to monitor position change information of a transmission line and generate a transmission line event stream based on the position change information;

[0034] A data processor is connected to the dynamic vision sensor and is used to reconstruct the motion trajectory of the transmission line based on the transmission line event stream, and to identify abnormal motion information of the transmission line based on the motion trajectory, and to output early warning prompt information when the abnormal motion information of the transmission line meets the early warning condition.

[0035] The second aspect and any implementation of the second aspect correspond to the first aspect and any implementation of the first aspect, respectively. The technical effects corresponding to the second aspect and any implementation of the second aspect can refer to the technical effects corresponding to the first aspect and any implementation of the first aspect, which will not be repeated here.

[0036] According to a third aspect of the present application, there is provided a monitoring device for a power transmission line, comprising:

[0037] An acquisition unit, used for acquiring a transmission line event stream, wherein the transmission line event stream is used for representing position change information of the transmission line;

[0038] A reconstruction unit, configured to reconstruct a motion trajectory of the transmission line based on the transmission line event stream;

[0039] an identification unit, configured to identify abnormal movement information of the transmission wire based on the movement trajectory;

[0040] The output unit is used to output warning prompt information when the abnormal movement information of the transmission line meets the warning condition.

[0041] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0042] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements any of the methods described above.

[0043] In a sixth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes any one of the methods described in the first aspect above.

[0044] It can be understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0045] The transmission line monitoring method provided in the present application obtains a transmission line event stream, which is used to characterize the position change information of the transmission line; reconstructs the motion trajectory of the transmission line based on the transmission line event stream; identifies the abnormal motion information of the transmission line based on the motion trajectory; and outputs warning prompt information when the abnormal motion information of the transmission line meets the warning conditions. The method provided in the example of the present application is adopted, and advanced data processing algorithms and dynamic visual sensor technology are used to accurately identify the abnormal motion information of the transmission line, achieve a high frame rate and low latency monitoring effect, and can quickly respond to the position change of the line and issue a warning. Compared with traditional monitoring methods, this method has obvious advantages in response speed, data accuracy, and warning timeliness. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 It is a structural schematic diagram of a transmission line monitoring system provided in an embodiment of the present application;

[0048] Figure 2 It is an optional flowchart for early warning analysis based on the transmission line event flow;

[0049] Figure 3 is a schematic flow chart of a method for monitoring a power transmission line provided by the present application;

[0050] Figure 4 is a schematic flow chart of an optional transmission line monitoring method provided by the present application;

[0051] Figure 5 is a schematic flow chart of an optional transmission line monitoring method provided by the present application;

[0052] Figure 6 It is a structural schematic diagram of a monitoring device for a power transmission line provided in an embodiment of the present application;

[0053] Figure 7 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0055] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0056] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0057] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0058] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0059] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0060] Transmission conductor galloping is a low-frequency, large-amplitude self-excited vibration of eccentric ice-covered conductors under wind excitation. Conductor deviation refers to the lateral or longitudinal movement of the conductor under the action of wind, which is usually slow and small in amplitude. The galloping and deviation of the conductor can cause the conductor to contact other equipment, resulting in accidents such as short circuits. In the operation of high-voltage transmission lines, the galloping and deviation of the conductor caused by wind are important factors affecting the safe operation of the equipment.

[0061] At present, the main means of monitoring the dancing and deviation of transmission lines include installing mechanical sensors, video monitoring, drone inspections, etc. Mechanical sensors can monitor the vibration frequency and amplitude of the wires in real time, and judge whether the wires are dancing and deviating based on the vibration data; video monitoring uses high-resolution cameras to monitor the status of the wires in real time and detect the dancing and deviation of the wires; drones can regularly inspect the wires, obtain the status data of the wires through high-resolution cameras and other sensor equipment, and inspect the status of the transmission lines over a large area.

[0062] First, some terms in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

[0063] Clustering algorithm DBSCAN: It is a density-based clustering algorithm. The radius of the neighborhood is defined by the neighborhood radius eps. If the distance between two points is less than or equal to eps, the two points are considered to be density-connected. The minimum number of samples is used to define the minimum number of points contained in the neighborhood of a point. DBSCAN traverses each point in the data set. If the neighborhood of a point contains the minimum number of sample points, it is marked as a core point. The core point and all the points in its neighborhood are marked as a cluster. For each core point, further check all the points in its neighborhood. If these points also meet the conditions of the core point, their neighborhood points are also included to form a density-reachable cluster. Repeat the above steps until all core points have been processed.

[0064] Polynomial fitting algorithm: fit the data by selecting a suitable polynomial, then construct a system of linear equations based on the data points, and then use optimization techniques such as least squares method to solve the polynomial coefficients so that the polynomial function is as close to the data points as possible.

[0065] Fast Fourier Transform (FFT): is an efficient algorithm used to convert a signal from the time domain to the frequency domain in order to analyze the frequency components of the signal.

[0066] Multiple regression analysis: is a statistical technique used to study the impact of multiple independent variables on a dependent variable. By building a regression model, changes in the dependent variable can be predicted and the impact of each independent variable can be evaluated.

[0067] The above is a brief introduction to the nouns involved in the embodiments of the present application, which will not be repeated below.

[0068] According to an embodiment of the present application, an example of a monitoring system for a power transmission line is also provided. Figure 1 As shown, Figure 1 The present invention shows a schematic diagram of a transmission line monitoring system, which includes:

[0069] A dynamic vision sensor 100 is installed on a transmission tower to monitor position change information of a transmission line and generate a transmission line event stream based on the position change information;

[0070] The data processor 102 is connected to the dynamic vision sensor, and is used to reconstruct the motion trajectory of the transmission line based on the transmission line event stream, and to identify abnormal motion information of the transmission line based on the motion trajectory, and output warning prompt information when the abnormal motion information of the transmission line meets the warning conditions.

[0071] In this application example, first, a highly sensitive dynamic vision sensor is installed at a suitable position on the transmission tower to ensure that it can monitor the dynamic behavior of the conductor in all directions. The dynamic vision sensor captures changes in light energy based on energy "differential" to perceive the visual content of the scene. Each of its pixels can independently detect the intensity of ambient light. When a change in light intensity is detected that exceeds a specific threshold, the camera outputs an event. This event contains information about the time of the change, the location of the pixel, and the increase (ON) or decrease (OFF) in light intensity. All pixels perform light intensity detection asynchronously and continuously output events to form a series of asynchronous event streams.

[0072] Since the dynamic vision sensor monitors the state of the wire, the camera parameters need to be set reasonably first. The pixel unit hardware circuit of the dynamic vision sensor includes: logarithmic photoreceptor, differential amplifier circuit and two comparators. The voltage signal Vd iff after the differential amplifier circuit is transmitted to the input of the two comparators. The other input of the two comparators is the upper threshold voltage and the lower threshold voltage. When Vd iff exceeds any threshold voltage, the corresponding output is ON or OFF event.

[0073] In addition, since it is necessary to monitor the tiny displacement of the transmission line, the example of this application improves the sensitivity of the dynamic vision sensor to form a dynamic vision sensing technology suitable for monitoring the dancing and displacement of the wire. The dynamic vision sensor monitors the state of the transmission line in real time, forms a series of event streams and is handed over to the data processor for processing, restores the real-time image of the transmission line and generates early warning information. The data processor uses the transmission line event stream generated by the dynamic vision sensor to restore the image, that is, based on the transmission line event stream, the motion trajectory of the transmission line is reconstructed, and the position and morphology of the discharge channel can be obtained.

[0074] Please refer to Figure 2 As shown, Figure 2 The invention is a flowchart for early warning analysis based on the transmission line event stream. By adopting the clustering algorithm DBSCAN, multiple continuous events in the transmission line event stream are clustered into a group of events, wherein each group of events is used to represent the movement trajectory of the transmission line within a certain period of time, and any two of the continuous events are continuous in spatial position and time sequence. By using the polynomial fitting algorithm, curve fitting is performed on each group of events obtained by clustering to capture the overall trend of the conductor trajectory and obtain the movement trajectory of the transmission line.

[0075] Still Figure 2As shown, based on the movement trajectory of the wire, the frequency components of the trajectory are extracted by fast Fourier transform (FFT) to identify whether the wire is periodically dancing or overall offset. In one example, if it is determined that the transmission line is dancing, the maximum dancing distance of the wire at different time points is calculated to obtain the dancing amplitude data; the frequency of the wire movement is calculated by analyzing the periodic changes in the trajectory. In another example, if it is determined that the transmission line is offset, based on the overall movement trend of the wire, the offset distance is calculated by the constant term and linear term of the polynomial fitting.

[0076] It should be understood that transmission line galloping is a low-frequency, large-amplitude self-excited vibration generated by eccentric ice-covered conductors under wind excitation; conductor deviation refers to the lateral or longitudinal movement of the conductor under the action of wind, which is usually slow and small in amplitude.

[0077] The wind speed prediction value is estimated based on the dancing amplitude and frequency of the transmission line, or the wind speed prediction value is estimated based on the line offset distance of the transmission line. When the wind speed prediction value exceeds a preset first wind speed threshold, it is determined that the abnormal movement information of the transmission line meets the warning condition, so as to trigger the output of the warning prompt information, wherein the warning prompt information includes: the dancing distance, the movement frequency, the wind speed prediction value, and the movement trajectory of the transmission line.

[0078] When the above-mentioned wind speed prediction value exceeds a preset second wind speed threshold, it is determined that the abnormal movement information of the above-mentioned transmission line meets the above-mentioned warning condition to trigger the output of the above-mentioned warning prompt information, wherein the above-mentioned warning prompt information includes: the above-mentioned line offset distance, the above-mentioned wind speed prediction value, and the movement trajectory of the above-mentioned transmission line.

[0079] The first wind speed threshold is set based on historical data and actual operating experience, and is a wind speed threshold that is mapped or corresponds to the conductor dancing. The second wind speed threshold is set based on historical data and actual operating experience, and is a wind speed threshold that is mapped or corresponds to the conductor offset distance.

[0080] Through multiple regression analysis, the mapping relationship between wire dancing F(m,f) (m is the wire dancing amplitude, f is the wire dancing frequency) and wind speed W, and the mapping relationship between wire offset S(d) (d is the wire offset distance) and wind speed W are established respectively. The wind speed W includes: light wind (1.6-3.3m / s), breeze (3.4-5.4m / s), gentle breeze (5.5-7.9m / s), strong wind (8.0-10.7m / s), strong wind (10.8-13.8m / s), gale (13.9-17.1m / s), strong wind (17.2-20.7m / s), etc.

[0081] This application example provides an example of a method for monitoring a transmission line. Please refer to Figure 3 As shown, Figure 3 A schematic flow chart of a method for monitoring a power transmission line provided in the present application is shown. As an example but not a limitation, the method can be applied to a monitoring system for a power transmission line.

[0082] S101, obtaining a transmission line event stream, wherein the transmission line event stream is used to represent position change information of the transmission line.

[0083] S102, reconstructing a movement trajectory of the transmission line based on the transmission line event stream.

[0084] S103: Identify abnormal movement information of the transmission line based on the movement trajectory.

[0085] S104: When the abnormal movement information of the transmission line meets the warning condition, output warning prompt information.

[0086] Optionally, the transmission line event stream contains key information that can reflect changes in the position of the line, such as timestamps, changes in position coordinates, etc.

[0087] The execution subject of the example of the present application is a processor in a monitoring system of a transmission line, which can also be called a data processor. In one example, the transmission line can be monitored by a dynamic visual sensor installed on a transmission tower. When the position information of the transmission line changes, the transmission line event stream generated by the position change of the transmission line is collected in real time to ensure that the dynamic behavior of the transmission line can be monitored in all directions.

[0088] Optionally, in the example of the present application, the transmission line event stream generated by the dynamic vision sensor is obtained through a data processor, and image restoration is performed based on the transmission line event stream, that is, the motion trajectory of the transmission line is reconstructed based on the transmission line event stream. The reconstructed motion trajectory can clearly display the movement path and change trend of the wire within a certain time range, providing a basis for subsequent abnormal motion identification.

[0089] Specifically, the warning conditions can be determined in advance according to the actual situation and operation experience of the transmission line. For example, some wind speed thresholds (warning conditions) for judging abnormal movement are set, as an example but not a limitation, when it is determined that the displacement of the wire exceeds a certain threshold, the vibration frequency is abnormal, the movement direction changes suddenly, etc., it is determined that the abnormal movement information of the transmission line meets the warning conditions, that is, the output of the warning prompt information is triggered.

[0090] As an example and not a limitation, a model of normal movement patterns can be established by analyzing and counting historical data, and then the real-time monitored movement trajectory can be compared with the model to identify abnormal movement information of the above-mentioned transmission wires, such as wire dancing or wire deviation. Machine learning and artificial intelligence algorithms, such as support vector machines and neural networks, are used to classify and identify movement trajectories and automatically determine whether there is abnormal movement. These algorithms can improve the accuracy and reliability of judgment by learning a large amount of normal and abnormal movement data.

[0091] It should be understood that conductor galloping is a large-amplitude, low-frequency vibration phenomenon of the conductor under specific meteorological conditions, mainly caused by wind excitation; conductor deviation usually refers to the deviation of the conductor from its normal position under the influence of wind, gravity, tension and other factors. Both are abnormal movement states of the conductor under the influence of external factors, and both belong to the category of abnormal movement of the conductor. This abnormal movement may have adverse effects on the safe and stable operation of the transmission line, such as causing line tripping, damage to poles and hardware, etc.

[0092] By adopting the method provided in the example of this application, advanced data processing algorithms and dynamic visual sensor technology are used to accurately identify abnormal movement information of transmission lines, achieve high frame rate and low latency monitoring effects, and quickly respond to changes in the position of the lines and issue warnings. Compared with traditional monitoring methods, this method has obvious advantages in response speed, data accuracy, and warning timeliness.

[0093] Please refer to Figure 4 As shown, Figure 4 A schematic flow chart of a method for monitoring a transmission line provided by the present application is shown. In a possible implementation, the motion trajectory of the transmission line is obtained by reconstructing the transmission line event stream based on the transmission line event stream, including:

[0094] S201, clustering multiple continuous events in the above-mentioned transmission line event stream into a group of events, wherein each group of events is used to represent the movement trajectory of the above-mentioned transmission line within a certain period of time, and any two of the above-mentioned continuous events are continuous in spatial position and time sequence.

[0095] S202, performing curve fitting on each group of events obtained by clustering by using a polynomial fitting algorithm to obtain the movement trajectory of the transmission line.

[0096] As an example but not limitation, clustering algorithms such as K-Means clustering, hierarchical clustering, etc. can be used to cluster multiple continuous events into a group of events, which can simplify complex event streams into a number of sets with motion characteristics within a specific time period. Each group of events represents the motion trajectory of the transmission line within a certain period of time, which can be used for more targeted subsequent analysis and processing, thereby improving the accuracy and efficiency of trajectory reconstruction.

[0097] After event clustering, the movement trajectory of the transmission line represented by each group of events in a certain period of time is obtained. Since these trajectories may be discrete point sets, they can be converted into continuous curves through curve fitting algorithms to more intuitively represent the movement trajectory of the transmission line.

[0098] It should be understood that the polynomial fitting algorithm is a commonly used curve fitting method, and a polynomial function can be found through optimization algorithms such as the least squares method, so that the function is as close as possible to a given set of data points. Therefore, a suitable polynomial fitting algorithm can be used, and the order of the polynomial in the polynomial fitting algorithm can be determined, wherein the higher the order, the more complex the fitted curve, but it may also lead to overfitting.

[0099] Therefore, it is necessary to select a suitable order according to the actual situation. The optimal order can usually be determined by methods such as cross-validation. Then, each group of events obtained by clustering is used as input data and substituted into the polynomial fitting algorithm for calculation to obtain the motion trajectory curve of the transmission line. Through the above method steps, the motion trajectory of the transmission line can be effectively reconstructed from the transmission line event stream.

[0100] In a possible implementation, the identifying the abnormal motion information of the transmission line based on the motion trajectory includes:

[0101] S301, extracting the frequency component of the motion trajectory by using a fast Fourier transform algorithm.

[0102] S302, based on the frequency components of the motion trajectory, identifying whether the transmission line is experiencing wire dancing or wire deviation.

[0103] S303, in the case where the transmission line experiences the conductor dancing, determining the maximum dancing distance of the transmission line at different time points, and determining the movement frequency of the transmission line by analyzing the periodic changes of the movement trajectory.

[0104] It should be understood that the Fast Fourier Transform (FFT) algorithm is an efficient spectrum analysis method that can convert time domain signals into frequency domain signals, thereby revealing the intensity and distribution of different frequency components in the signal.

[0105] In this implementation, the frequency components of the motion trajectory are extracted by using a fast Fourier transform algorithm, which can be to convert the motion trajectory from the time domain to the frequency domain so as to analyze its frequency components. By extracting the frequency components of the motion trajectory, the main frequency characteristics of the transmission line movement can be understood.

[0106] In one example, for example, first, the motion trajectory can be represented as time series data, that is, position coordinates at a series of time points. Then, the fast Fourier transform algorithm is used to process the time series data to obtain a frequency domain signal. The fast Fourier transform algorithm can convert a time series of length N into a frequency domain sequence of length N, where each element represents the amplitude and phase of different frequency components. Afterwards, based on the frequency components of the motion trajectory, it is determined whether the transmission line has abnormal movements such as wire dancing or wire deviation. Different abnormal movement conditions usually have different frequency characteristics. Therefore, the frequency components can be analyzed to identify whether the transmission line has wire dancing or wire deviation.

[0107] Specifically, conductor galloping is a phenomenon in which the conductor swings sharply due to wind, usually with a lower frequency and a larger amplitude. Conductor drift is the deviation of the conductor in the horizontal or vertical direction, which may be caused by a variety of factors and its frequency characteristics may be more complex.

[0108] Therefore, for the identification of wire galloping, some specific frequency ranges and amplitude thresholds can be set. If the frequency components of the motion trajectory appear in the frequency range of wire galloping, and the amplitude exceeds the set threshold, it can be determined that the transmission line has wire galloping. For the identification of wire deviation, the changes in the motion trajectory in the horizontal and vertical directions can be analyzed. If it is found that the displacement of the wire in a certain direction continues to increase or fluctuates greatly, it can be determined that the wire has deviated.

[0109] Furthermore, when it is determined that the transmission line is galloping, the characteristic parameters of the conductor galloping, such as the maximum galloping distance and the movement frequency, can be further analyzed. The above parameters can provide a basis for evaluating the severity of the conductor galloping and taking corresponding protective measures. For example, by analyzing the position coordinates of the motion trajectory at different time points, the displacement of the conductor in each direction can be calculated, and the largest displacement value can be taken as the maximum galloping distance. By analyzing the periodic changes of the motion trajectory, the period of the conductor galloping can be determined. Then, based on the relationship between the period and time, the frequency of the conductor galloping can be calculated.

[0110] Through the above examples, the abnormal movement information of the transmission line can be effectively identified, and a basis can be provided for subsequent early warning and processing, with high accuracy and reliability.

[0111] In a possible implementation, when the abnormal movement information of the transmission line meets the warning condition, outputting the warning prompt information includes:

[0112] S401, determining a predicted wind speed value at a location where the transmission line is located according to the dancing distance and the movement frequency;

[0113] S402, when the above-mentioned wind speed prediction value exceeds the pre-set first wind speed threshold, determine that the abnormal movement information of the above-mentioned transmission line meets the above-mentioned warning condition to trigger the output of the above-mentioned warning prompt information, wherein the above-mentioned warning prompt information includes: the above-mentioned dancing distance, the above-mentioned movement frequency, the above-mentioned wind speed prediction value, and the movement trajectory of the above-mentioned transmission line.

[0114] Since the dancing of transmission lines is usually closely related to wind speed, the example of this application can predict the current wind speed conditions to a certain extent by analyzing the dancing characteristics of the lines, so as to comprehensively evaluate the operating environment and potential risks of the transmission lines based on the predicted wind speed forecast value, and provide important basis for subsequent early warning decisions.

[0115] As an example and not a limitation, in one example, a mathematical model between dancing distance, movement frequency and wind speed can be established through historical measured data. For example, a method such as regression analysis can be used to determine the relationship expression between the three based on a large amount of measured data.

[0116] In specific application scenarios, the currently measured dancing distance and movement frequency can be substituted into the mathematical model to calculate the predicted wind speed value at the location of the transmission line. Then, it can be determined whether the abnormal movement information of the transmission line meets the warning conditions, and output warning prompt information when the conditions are met, so as to take timely measures to ensure the safe operation of the transmission line.

[0117] By setting the wind speed threshold, an early warning can be issued in time when the wind speed is too high, which may lead to more serious abnormal situations such as wire dancing, to remind relevant personnel to pay attention and deal with it. Specifically, the calculated wind speed prediction value can be compared with the pre-set first wind speed threshold. If the wind speed prediction value exceeds the first wind speed threshold, it is considered that the abnormal movement information of the transmission line meets the early warning condition.

[0118] Once it is determined that the warning conditions are met, the output of warning prompt information can be triggered. As an example but not limitation, the warning prompt information includes: dancing distance, movement frequency, wind speed prediction value and movement trajectory of the transmission line. It should be understood that this information can help relevant personnel fully understand the abnormal conditions and operating status of the transmission line so as to take targeted measures to deal with it. For example, maintenance personnel can evaluate the degree of damage to the wire based on the dancing distance and movement frequency, and formulate reasonable inspection and maintenance plans based on the wind speed prediction value and movement trajectory.

[0119] Through the above method example, when the abnormal movement information of the transmission line meets the warning conditions, the warning prompt information can be output in time to provide strong support for ensuring the safe operation of the transmission line. This implementation method comprehensively considers the dancing characteristics of the wire and the wind speed factors, and improves the accuracy and reliability of the warning.

[0120] In a possible implementation, the identifying the abnormal motion information of the transmission line based on the motion trajectory includes:

[0121] S501, extracting the frequency component of the motion trajectory by using a fast Fourier transform algorithm;

[0122] S502, based on the frequency components of the motion trajectory, identifying whether the transmission line has wire dancing or wire deviation;

[0123] S503: When the transmission line deviates, determine the deviation distance of the transmission line according to the movement trend of the transmission line.

[0124] In the above implementation, the fast Fourier transform algorithm can convert the motion trajectory from the time domain to the frequency domain, thereby revealing the components of different frequencies in the motion trajectory. Based on the frequency components of the motion trajectory, it is possible to determine whether the transmission line has two common abnormal motion conditions, namely, conductor galloping or conductor deviation, and then to issue an early warning, so as to detect problems in time and take corresponding measures to ensure the safe operation of the transmission line.

[0125] Since wire galloping and wire deviation have different frequency characteristics, the two abnormal conditions can be accurately distinguished by analyzing the frequency components. As an example and not a limitation, the identification of wire galloping can be judged based on its typical low-frequency, large-amplitude frequency characteristics. For example, if a lower-frequency component with a large amplitude is found in the frequency component, it may indicate that wire galloping has occurred. For the identification of wire deviation, attention can be paid to whether there are specific frequency components in the frequency component that are different from the normal operating state of the wire. In addition, a comprehensive judgment can be made in combination with other characteristics of the motion trajectory, such as the direction of displacement and amplitude changes.

[0126] When it is determined that a transmission line has deflected, the distance of the deflection can be further determined to assess the severity of the deflection, and then appropriate repair measures can be taken. For example, the deflection distance can be used as a quantitative indicator to measure the deflection of the line, providing specific data support for subsequent decision-making.

[0127] Specifically, according to the movement trend of the transmission line, the direction of the line deviation can be determined by analyzing the position change of the movement trajectory at different time points. Then, the displacement of the line in the deviation direction, that is, the deviation distance of the line, is calculated. For example, the displacement can be determined by comparing the position coordinates of the line in the deviation direction at different time points.

[0128] Through the above examples, the use of fast Fourier transform algorithm and analysis of movement trends can effectively identify abnormal movement information of transmission lines and provide important basis for subsequent processing and maintenance.

[0129] In a possible implementation, when the abnormal movement information of the transmission line meets the warning condition, outputting the warning prompt information includes:

[0130] S601, determining a predicted wind speed value at a location where the transmission line is located according to the line offset distance;

[0131] S602, when the above-mentioned wind speed prediction value exceeds the pre-set second wind speed threshold, determine that the abnormal movement information of the above-mentioned transmission line meets the above-mentioned warning condition to trigger the output of the above-mentioned warning prompt information, wherein the above-mentioned warning prompt information includes: the above-mentioned line offset distance, the above-mentioned wind speed prediction value, and the movement trajectory of the above-mentioned transmission line.

[0132] Since the wire deviation of the transmission line is usually related to the wind speed, for example, strong winds cause the wire to deviate. Through this correlation, the wire deviation distance can be used to estimate the current wind speed. Then, with the help of the wind speed prediction value, the environmental conditions of the transmission line can be understood, providing an important basis for judging whether an early warning is needed.

[0133] In specific application scenarios, the currently measured wire offset distance can be substituted into the mathematical model to calculate the predicted wind speed value at the location of the transmission wire. For example, a mathematical model between the wire offset distance and the wind speed can be established in advance through historical measured data.

[0134] Determine whether the abnormal movement information of the transmission line meets the warning conditions, and trigger the output of warning prompt information when the conditions are met. By setting the second wind speed threshold, a warning prompt information can be issued in time when the wind speed is too high and may cause greater risks to the transmission line. The warning prompt information includes the wire offset distance, wind speed prediction value and the movement trajectory of the transmission line, which can help relevant personnel fully understand the abnormal situation and operation status of the transmission line so as to take corresponding measures to deal with it.

[0135] For example, by comparing the calculated wind speed prediction value with a preset second wind speed threshold, if the wind speed prediction value exceeds the second wind speed threshold, it is considered that the abnormal movement information of the transmission line meets the warning condition. Once it is determined that the warning condition is met, the output of the warning prompt information is triggered, and the warning prompt information can be conveyed to relevant personnel in a variety of ways, such as display screen display, SMS notification, email, etc.

[0136] Through the above examples, when the abnormal movement information of the transmission line meets the warning conditions, the warning prompt information can be output in time, providing strong support for ensuring the safe operation of the transmission line.

[0137] Please refer to Figure 5 As shown, Figure 5 A schematic flow chart of a method for monitoring a power transmission line provided by the present application is shown. In a possible implementation, the method further includes:

[0138] S701, obtaining the historical dancing distance, historical movement frequency and historical conductor offset distance of the above-mentioned transmission line monitored in a historical period;

[0139] S702, presetting a first wind speed threshold based on the historical dancing distance and the historical movement frequency;

[0140] S703, presetting a second wind speed threshold based on the historical conductor offset distance;

[0141] S704, establishing a mapping relationship between the conductor galloping of the transmission line and the first wind speed threshold, and a mapping relationship between the conductor offset of the transmission line and the second wind speed threshold, respectively, through a multivariate regression analysis algorithm.

[0142] By monitoring the historical dancing distance, historical movement frequency and historical conductor offset distance of the transmission line in the historical period, the historical data can reflect the movement of the transmission line under different environmental conditions in the past. By analyzing these historical data, we can better understand the behavioral characteristics of the transmission line and provide a basis for setting reasonable warning thresholds and establishing mapping relationships.

[0143] In addition, in the example of this application, the historical data obtained may contain noise and outliers, which need to be screened and sorted. Data cleaning techniques, such as removing outliers and smoothing, can be used to improve the quality of the data.

[0144] Since the wind speed threshold is reasonably set, it can ensure that an early warning is issued in time when the wind speed poses a potential risk to the transmission line, while avoiding unnecessary false alarms. Specifically, in the example of this application, a first wind speed threshold is set based on the historical dancing distance and the historical movement frequency, and a second wind speed threshold is set based on the historical wire offset distance. These thresholds are used to determine whether the abnormal movement information of the transmission line meets the early warning conditions.

[0145] Through the multivariate regression analysis algorithm, the mapping relationship between the conductor dance of the transmission line and the first wind speed threshold, as well as the mapping relationship between the conductor offset and the second wind speed threshold are established respectively. The establishment of the mapping relationship can enable the system to judge whether the warning conditions are met more quickly according to the current conductor movement conditions, provide support for timely measures, and improve the accuracy of the warning.

[0146] It should be understood that multiple regression analysis is a statistical method used to establish a relationship model between multiple independent variables and one dependent variable. In this case, the independent variable can be a characteristic parameter of the wire dancing (such as dancing distance, movement frequency) or the wire offset distance, and the dependent variable is the wind speed threshold. In addition, the multiple regression model can be trained using historical data, and the accuracy and reliability of the model can be verified through methods such as cross-validation, and the parameters and structure of the model can be adjusted to improve the performance of the model.

[0147] Through the above examples, historical data and statistical analysis methods are fully utilized to provide a more scientific and accurate implementation method for monitoring and early warning of transmission lines. In practical applications, historical data can be continuously updated and optimized, and the model can be regularly evaluated and adjusted to adapt to changing environments and operating conditions.

[0148] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0149] Corresponding to the transmission line monitoring method described in the above embodiment, Figure 6 is a schematic diagram of the structure of a monitoring device for a power transmission line provided in an embodiment of the present application. The device can be implemented as part or all of a computer device by software, hardware, or a combination of both. The computer device can be Figure 7 Electronic equipment shown.

[0150] Reference Figure 6 , the monitoring device for the transmission line comprises:

[0151] An acquisition unit 601 is used to acquire a transmission line event stream, wherein the transmission line event stream is used to represent position change information of the transmission line;

[0152] A reconstruction unit 602, configured to reconstruct a movement trajectory of the transmission line based on the transmission line event stream;

[0153] An identification unit 603, configured to identify abnormal movement information of the transmission line based on the movement trajectory;

[0154] The output unit 604 is used to output warning prompt information when the abnormal movement information of the transmission line meets the warning condition.

[0155] It should be noted that the monitoring device for the transmission line provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0156] The functional units and modules in the above embodiments may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the above integrated units may be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present application.

[0157] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0158] An embodiment of the present application further provides an electronic device, the electronic device comprising one or more processors and a memory;

[0159] The memory is coupled to one or more processors, and the memory is used to store computer program codes, the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the above-mentioned transmission line monitoring method.

[0160] The electronic device may be a mobile phone, a smart screen, a tablet computer, a wearable electronic device, an in-vehicle electronic device, an augmented reality (AR) device, a virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a projector, or a communication device such as a server, a storage device, a base station, or a smart car, etc. The embodiments of the present application do not impose any restrictions on the specific types of electronic devices.

[0161] An embodiment of the present application also provides a computer-readable storage medium, in which computer instructions are stored; when the computer-readable storage medium is executed on an electronic device, the electronic device executes the transmission line monitoring method shown above.

[0162] The above-mentioned computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the above-mentioned computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The above-mentioned computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes one or more available media integrated therein. The above-mentioned available media may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium, or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0163] The embodiment of the present application also provides a computer program product including computer instructions, which, when executed on an electronic device, enables the electronic device to execute the above-mentioned method for monitoring the power transmission line.

[0164] The computer storage medium and computer program product provided in the above-mentioned embodiments of the present application are used to execute the method provided above. Therefore, the beneficial effects that can be achieved can refer to the corresponding beneficial effects of the method provided above, and will not be repeated here.

[0165] In the above embodiments, it can also be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The above computer program product includes one or more computer instructions. When the above computer instructions are loaded and executed on a computer, the above process or function according to the embodiment of the present application is generated in whole or in part. The above computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The above computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the above computer instructions can be transmitted from a website site, computer, server or data center by wired (such as: coaxial cable, optical fiber, data subscriber line (Digital Subscriber Line, DSL)) or wireless (such as: infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access, or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a digital versatile disc (DVD)), or a semiconductor medium (such as a solid state drive (SSD)), etc.

[0166] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, the electronic device 700 may be a mobile phone, a computer, a digital broadcast terminal, a message transceiver device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0167] The memory 701 can be used to store computer software programs 702 and modules, and the processor 703 executes various functional applications and data processing of the electronic device by running the software programs and modules stored in the memory 701. The memory 701 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the electronic device (such as audio data, a phone book, etc.), etc. In addition, the memory 701 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0168] Among them, the processor 703 may include one or more processors such as a central processing unit, an application processor (AP), a baseband processor, etc. The processor may be the nerve center and command center of the wireless router. The processor 703 may generate an operation control signal according to the instruction operation code and the timing signal to complete the control of fetching instructions and executing instructions. The memory 701 may be used to store computer executable program codes, and the executable program codes include instructions. The processor 703 executes various functional applications and data processing of the network device by running the instructions stored in the memory. The memory 701 may include a program storage area and a data storage area, such as storing data of a sound signal to be played. For example, the memory may be a double rate synchronous dynamic random access memory DDR or a flash memory Flash, etc.

[0169] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0170] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments applied for herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0171] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0172] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring a transmission line, characterized in that: include: Acquire a transmission line event stream, wherein the transmission line event stream is used to represent position change information of the transmission line; Reconstructing the movement trajectory of the transmission line based on the transmission line event stream; Identifying abnormal movement information of the transmission wire based on the movement trajectory; When the abnormal movement information of the transmission line meets the warning condition, the warning prompt information is output.

2. The method according to claim 1, characterized in that: The reconstructing the movement trajectory of the transmission line based on the transmission line event stream comprises: Clustering multiple continuous events in the transmission line event stream into a group of events, wherein each group of events is used to represent the movement trajectory of the transmission line within a certain period of time, and any two of the continuous events are continuous in spatial position and time sequence; By using a polynomial fitting algorithm, curve fitting is performed on each group of events obtained by clustering to obtain the movement trajectory of the transmission line.

3. The method according to claim 1, characterized in that The identifying abnormal movement information of the transmission line based on the movement trajectory includes: Extracting the frequency components of the motion trajectory by a fast Fourier transform algorithm; Based on the frequency components of the motion trajectory, identifying whether the transmission line has wire galloping or wire deviation; In the case where the transmission line gallops, the maximum galloping distance of the transmission line at different time points is determined, and the movement frequency of the transmission line is determined by analyzing the periodic changes of the movement trajectory.

4. The method according to claim 3, characterized in that When the abnormal movement information of the transmission line meets the warning condition, outputting the warning prompt information includes: Determining a predicted wind speed value at a location where the power transmission line is located according to the dancing distance and the movement frequency; When the predicted wind speed value exceeds a preset first wind speed threshold, it is determined that the abnormal movement information of the transmission line meets the warning condition to trigger the output of the warning prompt information, wherein the warning prompt information includes: the dancing distance, the movement frequency, the predicted wind speed value, and the movement trajectory of the transmission line.

5. The method according to claim 1, characterized in that The identifying abnormal movement information of the transmission line based on the movement trajectory includes: Extracting the frequency components of the motion trajectory by a fast Fourier transform algorithm; Based on the frequency components of the motion trajectory, identifying whether the transmission line has wire galloping or wire deviation; In the case where the transmission line has a conductor deviation, the conductor deviation distance of the transmission line is determined according to the movement trend of the transmission line.

6. The method according to claim 5, characterized in that When the abnormal movement information of the transmission line meets the warning condition, outputting the warning prompt information includes: Determining a predicted wind speed value at a location where the transmission line is located according to the line offset distance; When the predicted wind speed value exceeds a preset second wind speed threshold, it is determined that the abnormal movement information of the transmission line meets the warning condition to trigger the output of the warning prompt information, wherein the warning prompt information includes: the line offset distance, the predicted wind speed value, and the movement trajectory of the transmission line.

7. The method according to claim 1, characterized in that The method further comprises: Obtaining the historical dancing distance, historical movement frequency and historical conductor offset distance of the transmission line monitored in a historical period; Based on the historical dancing distance and the historical movement frequency, presetting a first wind speed threshold; Presetting a second wind speed threshold based on the historical conductor offset distance; Through a multiple regression analysis algorithm, a mapping relationship between the conductor galloping of the transmission line and the first wind speed threshold, and a mapping relationship between the conductor offset of the transmission line and the second wind speed threshold are established respectively.

8. A monitoring system for a power transmission line, characterized in that: include: A dynamic visual sensor installed on a transmission tower to monitor position change information of a transmission line and generate a transmission line event stream based on the position change information; A data processor is connected to the dynamic vision sensor and is used to reconstruct the motion trajectory of the transmission line based on the transmission line event stream, and to identify abnormal motion information of the transmission line based on the motion trajectory, and to output early warning prompt information when the abnormal motion information of the transmission line meets the early warning condition.

9. A monitoring device for a power transmission line, characterized in that: include: An acquisition unit, used for acquiring a transmission line event stream, wherein the transmission line event stream is used for representing position change information of the transmission line; A reconstruction unit, configured to reconstruct a motion trajectory of the transmission line based on the transmission line event stream; an identification unit, configured to identify abnormal movement information of the transmission wire based on the movement trajectory; The output unit is used to output warning prompt information when the abnormal movement information of the transmission line meets the warning condition.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

11. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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