Method and device for icing warning of power transmission line

Abstract

The application relates to a power transmission line icing early warning method and device. The method comprises the following steps: acquiring the current temperature and the current maximum sag of a target power transmission line; determining the predicted maximum sag of the target power transmission line under the current temperature according to the corresponding relationship between the current temperature and the maximum sag and the temperature; determining whether the target power transmission line has an icing phenomenon according to the current maximum sag and the predicted maximum sag; and performing icing early warning on the target power transmission line in the case that the target power transmission line is determined to have the icing phenomenon. The method can accurately monitor and early warn the icing phenomenon of the power transmission line.

Description

Technical Field

[0001] The present application relates to the technical field of transmission lines, and in particular to a method and device for early warning of icing on transmission lines. Background Art

[0002] With the rapid development of the power industry, the safety of transmission lines has received widespread attention. Transmission lines are prone to icing in winter, which can cause accidents such as flashover tripping, tower collapse, and line breakage, seriously impacting the safe and stable operation of the power grid. Therefore, predicting and warning the scope and extent of icing on transmission lines in advance can effectively prevent icing disasters and significantly support the safe and stable operation of transmission lines.

[0003] Currently, existing methods for early warning of icing on transmission lines are mostly based on mathematical models of multi-dimensional physical quantities. However, these models lack precise parameter acquisition and are primarily influenced by human experience. Consequently, they lack strong theoretical rationality, resulting in low accuracy in transmission line icing disaster prediction results. Summary of the Invention

[0004] Based on this, it is necessary to provide a transmission line icing warning method and device that can accurately monitor and warn of icing phenomena on transmission lines in order to address the above technical problems.

[0005] In a first aspect, the present application provides a transmission line icing early warning method, comprising:

[0006] Obtain the current temperature and current maximum sag of the target transmission line;

[0007] Determining a predicted maximum sag of the target transmission line at the current temperature according to the current temperature and a corresponding relationship between the maximum sag and the temperature;

[0008] determining whether ice coating occurs on the target transmission line according to the current maximum sag and the predicted maximum sag;

[0009] When it is determined that ice is applied to the target transmission line, an ice application warning is issued to the target transmission line.

[0010] In one embodiment, the correspondence between the maximum sag and the temperature is determined by:

[0011] Obtaining historical monitoring data of the target transmission line by means of a monitoring instrument installed on the target transmission line; wherein the historical monitoring data includes historical temperature and historical maximum sag at different historical moments;

[0012] From the historical monitoring data, historical monitoring data of the target power transmission line in an ideal environment is extracted as target monitoring data; wherein the ideal environment at least includes an ice-free and wind-free environment;

[0013] According to the target monitoring data, a corresponding relationship between the maximum sag of the target power transmission line and temperature is constructed.

[0014] In one of the embodiments, the determination of whether the target power transmission line has icing phenomenon according to the current maximum sag and the predicted maximum sag includes:

[0015] The difference between the current maximum sag and the predicted maximum sag is taken as a sag difference value;

[0016] If the sag difference value is greater than a pre-set error threshold value, it is determined that the target power transmission line has icing phenomenon.

[0017] In one of the embodiments, the icing pre-warning of the target power transmission line includes:

[0018] The characteristic data and the current specific load parameter of the target power transmission line are acquired;

[0019] The icing thickness of the target power transmission line is determined according to the characteristic data and the current specific load parameter;

[0020] The target power transmission line is pre-warned of icing according to the icing thickness.

[0021] In one of the embodiments, the characteristic data includes static characteristic data and dynamic characteristic data, and the acquisition of the characteristic data and the current specific load parameter of the target power transmission line includes:

[0022] The dynamic characteristic data is acquired through a monitoring instrument installed on the target power transmission line;

[0023] The static characteristic data is determined according to the attribute information of the target power transmission line;

[0024] The current specific load parameter of the target power transmission line is determined according to the static characteristic data, the dynamic characteristic data, the predicted maximum sag and the current maximum sag.

[0025] In one of the embodiments, the dynamic characteristic data includes the outer diameter, the cross-sectional area, the mass parameter, the temperature expansion coefficient and the elastic coefficient of the target power transmission line; the dynamic characteristic data includes the horizontal span, the height difference angle, the wind deflection angle, the first temperature in the ideal environment and the second temperature in an abnormal environment of the target power transmission line; and the current specific load parameter includes the self-weight specific load in the ideal environment and the comprehensive specific load in the abnormal environment.

[0026] wherein the ideal environment is at least an ice-free and wind-free environment, and the abnormal environment is at least an ice-covered and wind-blown environment.

[0027] In one embodiment, the determining the current specific load parameter of the target power transmission line according to the static characteristic data, the dynamic characteristic data, the predicted maximum sag and the current maximum sag comprises:

[0028] multiplying a product between the quality parameter and the gravitational acceleration as a first intermediate parameter;

[0029] determining the deadweight specific load according to a ratio between the first intermediate parameter and the cross-sectional area;

[0030] determining the comprehensive specific load according to the deadweight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data and the dynamic characteristic data.

[0031] In one embodiment, the determining the comprehensive specific load of the target power transmission line according to the deadweight specific load, the predicted maximum sag, the current maximum sag, the inherent characteristic data and the measured characteristic data of the target power transmission line comprises:

[0032] multiplying a product between the current maximum sag and the deadweight specific load by a ratio of the predicted maximum sag as a second intermediate parameter;

[0033] determining a third intermediate parameter according to the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span and the height difference angle;

[0034] determining a fourth intermediate parameter according to the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle and the horizontal span;

[0035] determining the comprehensive specific load as a difference between the second intermediate parameter and the third intermediate parameter and a difference of the fourth intermediate parameter.

[0036] In one embodiment, the determining the ice thickness of the target power transmission line according to the characteristic data and the current specific load parameter comprises:

[0037] multiplying a product between a cosine value of the wind yaw angle and the comprehensive specific load by a difference between the deadweight specific load as a fifth intermediate parameter;

[0038] determining the ice thickness of the target power transmission line according to the cross-sectional area, the outer diameter and the fifth intermediate parameter.

[0039] In a second aspect, the application further provides a power transmission line icing early warning device, comprising:

[0040] A data acquisition module is used to obtain the current temperature and current maximum sag of the target transmission line;

[0041] a sag determination module, configured to determine a predicted maximum sag of the target transmission line at the current temperature based on the current temperature and a correspondence between the maximum sag and the temperature;

[0042] an icing determination module, configured to determine whether icing occurs on the target transmission line based on the current maximum sag and the predicted maximum sag;

[0043] The icing warning module is used to issue an icing warning to the target transmission line when it is determined that the target transmission line is iced.

[0044] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0045] Obtain the current temperature and current maximum sag of the target transmission line;

[0046] Determining a predicted maximum sag of the target transmission line at the current temperature according to the current temperature and a corresponding relationship between the maximum sag and the temperature;

[0047] determining whether ice coating occurs on the target transmission line according to the current maximum sag and the predicted maximum sag;

[0048] When it is determined that ice is applied to the target transmission line, an ice application warning is issued to the target transmission line.

[0049] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0050] Obtain the current temperature and current maximum sag of the target transmission line;

[0051] Determining a predicted maximum sag of the target transmission line at the current temperature according to the current temperature and a corresponding relationship between the maximum sag and the temperature;

[0052] determining whether ice coating occurs on the target transmission line according to the current maximum sag and the predicted maximum sag;

[0053] When it is determined that ice is applied to the target transmission line, an ice application warning is issued to the target transmission line.

[0054] In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the following steps:

[0055] obtaining a current temperature and a current maximum sag of the target power transmission line;

[0056] determining a predicted maximum sag of the target power transmission line at the current temperature according to a correspondence between the current temperature and the maximum sag and temperature;

[0057] determining whether icing phenomenon occurs to the target power transmission line according to the current maximum sag and the predicted maximum sag;

[0058] in a case where it is determined that the icing phenomenon occurs to the target power transmission line, performing icing pre-warning on the target power transmission line.

[0059] The power transmission line icing pre-warning method and device, by obtaining a current temperature and a current maximum sag of the target power transmission line, and determining a predicted maximum sag of the target power transmission line at the current temperature according to a correspondence between the current temperature and the maximum sag and temperature, further determining whether icing phenomenon occurs to the target power transmission line according to the current maximum sag and the predicted maximum sag, and performing icing pre-warning on the target power transmission line in a case where it is determined that the icing phenomenon occurs to the target power transmission line. The above scheme, by introducing the correspondence between the maximum sag and temperature, can accurately reflect the maximum sag of the target power transmission line at different temperatures, and thus, based on the correspondence between the maximum sag and temperature, the predicted maximum sag of the target power transmission line at the current temperature, i.e. the maximum sag in a case where no icing occurs, can be accurately determined; further, according to the current maximum sag and the predicted maximum sag, whether icing phenomenon occurs to the target power transmission line can be reasonably and accurately determined, and thus the target power transmission line can be accurately pre-warned of icing. BRIEF DESCRIPTION OF DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the embodiments or the related art description will be briefly introduced. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0061] Figure 1 An application environment diagram of the power transmission line icing pre-warning method in an embodiment;

[0062] Figure 2 A flowchart of the power transmission line icing pre-warning method in an embodiment;

[0063] Figure 3Schematic diagram of a flow chart for determining the corresponding relationship between maximum sag and temperature in one embodiment;

[0064] Figure 4 A curve showing a maximum sag versus temperature variation of a target transmission line constructed in one embodiment;

[0065] Figure 5 A schematic diagram of a process for determining whether ice coating occurs on a target transmission line in one embodiment;

[0066] Figure 6 1 is a flow chart of providing an ice cover warning for a target transmission line in one embodiment;

[0067] Figure 7 A schematic diagram of a process for obtaining characteristic data and current load parameters in one embodiment;

[0068] Figure 8 FIG1 is a flow chart of determining a current load ratio parameter of a target transmission line in one embodiment;

[0069] Figure 9 FIG1 is a flow chart of determining the comprehensive load ratio of a target transmission line in one embodiment;

[0070] Figure 10 FIG1 is a schematic diagram of a process for determining ice thickness of a target transmission line in one embodiment;

[0071] Figure 11 A schematic flow chart of a method for early warning of icing on a transmission line according to another embodiment;

[0072] Figure 12 This is a structural block diagram of a transmission line icing warning device in one embodiment;

[0073] Figure 13 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0075] The transmission line icing warning method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the monitoring instrument 102 is a device installed on the target transmission line for monitoring the target transmission line and the environment in which the target transmission line is located; the information processing device 101 is a device for processing the data monitored by the monitoring instrument. Optionally, after obtaining the current temperature and current maximum sag of the target transmission line monitored by the monitoring instrument 102, the information processing device 101 determines the predicted maximum sag of the target transmission line at the current temperature based on the corresponding relationship between the current temperature and the maximum sag and the temperature; and determines whether the target transmission line is covered with ice based on the current maximum sag and the predicted maximum sag; in the case of determining that the target transmission line is covered with ice, an ice warning is issued for the target transmission line.

[0076] In one embodiment, Figure 2 As shown, a transmission line icing warning method is provided, which is applied to Figure 1 Taking the information processing device 101 in FIG. 1 as an example, the following steps are specifically included:

[0077] S201, obtaining the current temperature and current maximum sag of the target transmission line.

[0078] Among them, the target transmission line is the transmission line that needs to be monitored for icing conditions. Furthermore, the target transmission line can be the transmission line between any two adjacent base poles within the monitoring range; the current dimension is the temperature of the target transmission line in the current period; the sag is the vertical distance between the lowest point of the target transmission line and the line connecting the two hanging points when the target transmission line is hung at the same height on two adjacent base poles on which the target transmission line is hung; the current maximum sag is the maximum sag reached by the target transmission line in the current period.

[0079] Optionally, in an embodiment of the present application, a monitoring instrument installed on the target transmission line can be used to monitor the condition of the target transmission line and the surrounding environment in real time. Therefore, the current temperature and maximum sag of the target transmission line at the current moment can be obtained through the monitoring instrument. Exemplarily, the monitoring instrument can be an instrument that integrates multiple sensors, such as an infrared sensor, an ultraviolet sensor, a sonar sensor, a meteorological sensor, a sag monitoring sensor, a temperature sensor, and the like.

[0080] It is understandable that, through the monitoring instrument, not only the current temperature and the current maximum sag of the target transmission line can be obtained, but also the temperature, humidity, air pressure and other information of the environment in which the target transmission line is located can be obtained.

[0081] S202 : Determine the predicted maximum sag of the target transmission line at the current temperature according to the current temperature and the corresponding relationship between the maximum sag and the temperature.

[0082] The corresponding relationship between the maximum sag and the temperature represents the maximum sag of the target transmission line at different temperatures, especially the maximum sag of the target transmission line at different temperatures under ideal conditions. In the embodiment of the present application, the corresponding relationship between the maximum sag and the temperature can be represented by a curve.

[0083] Optionally, the maximum sag corresponding to the current temperature can be determined based on the correspondence between the maximum sag and the temperature, and the determined maximum sag can be used as the predicted maximum sag of the target transmission line at the current temperature.

[0084] S203: Determine whether ice is present on the target transmission line based on the current maximum sag and the predicted maximum sag.

[0085] Optionally, the current maximum sag and the predicted maximum sag can be input into an icing prediction model so that the icing prediction model outputs a prediction result of whether icing occurs on the target transmission line based on preset parameters, and determines whether icing occurs on the target transmission line based on the prediction result.

[0086] It should be noted that to ensure the accuracy of the prediction results, after obtaining the prediction results, image recognition technology can be used to identify the on-site images of the target transmission line collected by the monitoring instrument. The recognition results are then output to determine whether the target transmission line is iced. If the prediction results differ from the recognition results, the icing prediction model needs to be adjusted and optimized to ensure its accuracy.

[0087] S204: When it is determined that the target transmission line is covered with ice, an ice covering warning is issued for the target transmission line.

[0088] Optionally, if ice is detected on a target transmission line, a timely ice warning may be issued to prevent accidents such as flashover tripping, tower collapse, and line breakage. For example, a warning message containing an on-site image of the target transmission line may be sent to the operation and maintenance equipment corresponding to the target transmission line, informing the operator of the potential ice buildup on the target transmission line.

[0089] In the above-mentioned transmission line icing warning method, the current temperature and current maximum sag of the target transmission line are obtained, and the predicted maximum sag of the target transmission line at the current temperature is determined based on the corresponding relationship between the current temperature and the maximum sag and the temperature; further, based on the current maximum sag and the predicted maximum sag, it is determined whether the target transmission line has iced, and if it is determined that the target transmission line has iced, an ice warning is issued for the target transmission line. The above-mentioned scheme, by introducing the corresponding relationship between maximum sag and temperature, can accurately reflect the maximum sag of the target transmission line at different temperatures. Therefore, based on the corresponding relationship between maximum sag and temperature, the predicted maximum sag of the target transmission line at the current temperature can be accurately determined, that is, the maximum sag when no ice has occurred; further, based on the current maximum sag and the predicted maximum sag, it can reasonably and accurately determine whether the target transmission line has iced, so that an ice warning can be accurately issued for the target transmission line.

[0090] Optionally, in one embodiment, Figure 3 As shown, a method for determining the corresponding relationship between maximum sag and temperature is provided, which specifically includes the following steps:

[0091] S301, obtaining historical monitoring data of the target transmission line through a monitoring instrument installed on the target transmission line.

[0092] Among them, historical monitoring data include historical temperatures and historical maximum sags at different historical moments.

[0093] Optionally, the historical temperature and historical maximum sag of the target transmission line monitored at different historical moments during a historical period may be extracted from a monitoring instrument installed on the target transmission line and used as historical monitoring data of the target transmission line.

[0094] S302 , extracting historical monitoring data of a target transmission line under an ideal environment from historical monitoring data as target monitoring data.

[0095] Among them, the ideal environment at least includes an ice-free and windless environment.

[0096] Optionally, considering that the historical temperature and maximum sag of the target transmission line at different historical moments in an ideal environment (i.e., an ice-free and windless environment) are more relevant, it is necessary to extract historical monitoring data of the target transmission line under ideal conditions from the historical monitoring data. Specifically, the ambient temperature and humidity data and meteorological data at different historical moments can be combined to extract the historical monitoring data of the target transmission line under ideal conditions from the historical monitoring data and use it as the target monitoring data.

[0097] S303: Constructing a corresponding relationship between the maximum sag and the temperature of the target transmission line according to the target monitoring data.

[0098] Optionally, there are many methods for constructing the corresponding relationship between the maximum sag and temperature of the target transmission line based on the target monitoring data, which are not limited here. One method can be to fit the maximum sag versus temperature curve based on the historical temperature and historical maximum sag in the target monitoring data through a fitting method to characterize the corresponding relationship between the maximum sag and temperature of the target transmission line. For example, Figure 4 As shown, it is a curve showing the maximum sag of the target transmission line constructed in an embodiment of the present application as a function of temperature.

[0099] In this embodiment, the accuracy of the historical monitoring data obtained is guaranteed by the monitoring instrument; at the same time, the target monitoring data of the target transmission line under an ideal environment is extracted, which ensures the availability and reference of the target monitoring data, and further ensures the accuracy and reference of the corresponding relationship between the maximum sag and temperature of the constructed target transmission line.

[0100] Optionally, in one embodiment, Figure 5 As shown, a method for determining whether a target transmission line is iced is provided, which specifically includes the following steps:

[0101] S501: The difference between the current maximum sag and the predicted maximum sag is used as the sag difference.

[0102] Optionally, the current maximum sag and the predicted maximum sag can be subtracted and the obtained difference can be used as the sag difference. Specifically, the sag difference can be expressed by the following formula (1):

[0103] (1)

[0104] in, is the sag difference; is the current maximum sag; To predict the maximum sag.

[0105] S502: If the sag difference is greater than a preset error threshold, it is determined that ice is present on the target transmission line.

[0106] The error threshold is a threshold value set according to actual conditions or experiments.

[0107] Optionally, if the sag difference is greater than a preset error threshold, it indicates that the target transmission line is likely to be covered with ice, and it can be determined that a warning phenomenon has occurred on the target transmission line.

[0108] In this embodiment, by introducing the sag difference and the error threshold, it is possible to accurately and reasonably determine whether the target transmission line is iced.

[0109] Optionally, in one embodiment, Figure 6 As shown, a method for early warning of ice coverage of a target transmission line is provided, which specifically includes the following steps:

[0110] S601, obtaining characteristic data and current load parameters of a target transmission line.

[0111] Among them, the static characteristic data include the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient and elastic coefficient of the target transmission line; the dynamic characteristic data include the horizontal span, elevation angle, wind angle, the first temperature under ideal environment and the second temperature under abnormal environment of the target transmission line; the current load ratio parameters include the deadweight load ratio under ideal environment and the comprehensive load ratio under abnormal environment; the ideal environment at least includes an ice-free and windless environment, and the abnormal environment at least includes an ice-filled and windy environment.

[0112] Optionally, characteristic data of the target transmission line can be obtained by consulting relevant parameters of the target transmission line and performing field measurements. At the same time, the current load ratio parameters of the target transmission line can be obtained by consulting relevant information and making reasonable deductions.

[0113] S602: Determine the ice thickness of the target transmission line based on the characteristic data and the current load ratio parameter.

[0114] The ice thickness refers to the thickness of ice on the target transmission line.

[0115] Optionally, the relationship between the characteristic parameters and stress and the current load ratio parameters can be considered to reasonably deduce the ice thickness and obtain the relationship between the ice thickness, characteristic data and the current load ratio parameters. Furthermore, based on this relationship and in combination with the characteristic data and the current load ratio parameters, the ice thickness of the target transmission line can be calculated.

[0116] S603: Issue an ice cover warning to the target transmission line based on the ice cover thickness.

[0117] Optionally, after calculating the ice thickness, the monitoring instrument can be controlled to collect on-site images of the target transmission line and generate early warning information containing the ice thickness and the on-site images; further, the early warning information is sent to the operation and maintenance equipment corresponding to the target transmission line to issue an ice warning for the target transmission line.

[0118] In this embodiment, the ice thickness is calculated by comprehensively considering the characteristic data of the target transmission line and the current load ratio parameters, thereby ensuring the rationality and accuracy of the calculated ice thickness; further, an ice warning is issued based on the ice thickness, thereby ensuring the efficiency and effectiveness of the warning process.

[0119] Optionally, the feature data includes static feature data and dynamic feature data; in one embodiment, Figure 7As shown, a method for obtaining characteristic data and current load parameters is provided, which specifically includes the following steps:

[0120] S701, obtaining dynamic characteristic data through monitoring instruments installed on the target transmission line.

[0121] Optionally, since dynamic data is variable and real-time, dynamic characteristic data including the horizontal span, elevation angle, wind angle, first temperature under ideal conditions and second temperature under abnormal conditions of the target transmission line can be obtained by monitoring instruments installed on the target transmission line.

[0122] S702: Determine static feature data based on the attribute information of the target transmission line.

[0123] Optionally, since static characteristic data is generally an inherent attribute of the target transmission line, static characteristic data including the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient and elastic coefficient of the target transmission line can be obtained through the attribute information of the target transmission line and by consulting relevant materials.

[0124] S703: Determine the current load ratio parameter of the target transmission line according to the static characteristic data, the dynamic characteristic data, the predicted maximum sag and the current maximum sag.

[0125] Optionally, an expression for the current load ratio parameter can be obtained through reasonable deduction, and based on the expression, the current load ratio parameter of the target transmission line can be calculated according to the static characteristic data, dynamic characteristic data, predicted maximum sag and current maximum sag.

[0126] In this embodiment, dynamic characteristic data, static characteristic data and current load parameters are obtained respectively through different methods and approaches, thereby ensuring the reliability of the data source and further ensuring the accuracy of the obtained data.

[0127] Optionally, in one embodiment, Figure 8 As shown, a method for determining the current load ratio parameter of a target transmission line is provided, which specifically includes the following steps:

[0128] S801: The product of the mass parameter and the acceleration of gravity is used as the first intermediate parameter.

[0129] The quality parameter is a parameter that characterizes the quality of the target transmission line. In the embodiment of the present application, the quality parameter may be the mass per unit length of the target transmission line.

[0130] Optionally, considering that the deadweight load is related to the mass properties of the target transmission line, the deadweight load can be determined based on the mass parameter, weight acceleration, and cross-sectional area. First, the product of the mass parameter and the gravity acceleration needs to be used as the first intermediate parameter. Specifically, the first intermediate parameter can be expressed by the following formula (2):

[0131] (2)

[0132] in, is the first intermediate parameter; is the quality parameter, i.e. the quality per unit length of the target transmission line, in units of ; is the acceleration due to gravity, which can be taken as 9.80665 .

[0133] S802: Determine the deadweight specific load according to the ratio between the first intermediate parameter and the cross-sectional area.

[0134] Optionally, the process of determining the deadweight specific load according to the ratio between the first intermediate parameter and the cross-sectional area can be expressed by the following formula (3):

[0135] (3)

[0136] in, is the self-weight specific load, in units of ; is the cross-sectional area in units of .

[0137] S803, determining a comprehensive specific load according to the deadweight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data.

[0138] Optionally, an expression for the comprehensive specific load can be obtained through reasonable deduction, and based on the expression, the comprehensive specific load can be calculated according to the self-weight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data and the dynamic characteristic data.

[0139] In this embodiment, by introducing the first intermediate parameter, a method for calculating the deadweight load ratio is provided; at the same time, based on the deadweight load ratio, predicted maximum sag, current maximum sag, static characteristic data and dynamic characteristic data, a method for determining the comprehensive load ratio is provided.

[0140] Optionally, in this embodiment, the comprehensive specific load is the specific load of the target transmission line in an ice and windy environment, i.e., the specific load after comprehensively considering the deadweight, ice weight, and wind pressure. Therefore, the relationship between maximum sag, stress, and specific load can be used to derive an expression for the horizontal stress of the target transmission line, and the comprehensive specific load can be calculated based on this horizontal stress expression.

[0141] Specifically, according to the deformation of the oblique parabola sag formula, the circumferential stress at the center of the target transmission line span can be obtained as follows:

[0142] (4)

[0143] in, is the circumferential stress at the center of the span; is the comprehensive load ratio of the target transmission line; is the maximum sag; is the horizontal span; is the height difference angle.

[0144] In both ideal environments (i.e., no ice and no wind environment) and abnormal environments (i.e., ice and wind environment), the relationship between the axial stress and the comprehensive load ratio of the target transmission line under the two environments can be obtained according to the parabolic state equation of the target transmission line. Specifically, it can be expressed by the following formula (5):

[0145] (5)

[0146] in, is the axial stress under abnormal environment; is the axial stress under ideal conditions; is the elastic modulus of the target transmission line; is the deadweight specific load; is the comprehensive load ratio; is the temperature expansion coefficient of the target transmission line; The first temperature of the target transmission line under an ideal environment; It is the second temperature when the target transmission line is in an abnormal environment.

[0147] Furthermore, by combining the above formula (4) and formula (5), the relationship between the comprehensive specific load and the deadweight specific load can be obtained. Specifically, on this basis, in one embodiment, Figure 9 As shown, a method for determining the comprehensive load ratio of a target transmission line is provided, which specifically includes the following steps:

[0148] S901: The ratio of the product of the current maximum sag and the deadweight load to the predicted maximum sag is used as the second intermediate parameter.

[0149] Optionally, the process of using the product of the current maximum sag and the deadweight load ratio and the ratio of the predicted maximum sag as the second intermediate parameter can be expressed by the following formula (6):

[0150] (6)

[0151] in, is the second intermediate parameter; is the current maximum sag; To predict the maximum sag; It is the specific load of deadweight.

[0152] S902: Determine a third intermediate parameter according to the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span, and the height difference angle.

[0153] Optionally, the process of determining the third intermediate parameter according to the current maximum sag, predicted maximum sag, elastic modulus, horizontal span and height difference angle can be expressed by the following formula (7):

[0154] (7)

[0155] in, is the third intermediate parameter.

[0156] S903 , determining a fourth intermediate parameter according to the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle, and the horizontal span.

[0157] Optionally, according to the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle, and the horizontal span, the process of determining the fourth intermediate parameter can be expressed as follows:

[0158] (8)

[0159] in, is the fourth intermediate parameter; is the temperature expansion coefficient.

[0160] S904: Take the difference between the second intermediate parameter and the third intermediate parameter, and the difference between the fourth intermediate parameter, as a comprehensive ratio.

[0161] Optionally, the difference between the second intermediate parameter and the third intermediate parameter, and the difference between the fourth intermediate parameter, is used as the comprehensive load ratio process, which can be expressed by the following formula (9):

[0162] (9)

[0163] in, For the comprehensive load ratio.

[0164] In this embodiment, by introducing the second intermediate parameter, the third intermediate parameter and the fourth intermediate parameter, a method for quickly and accurately calculating the comprehensive specific load is provided.

[0165] It should be noted that the comprehensive specific load of the target transmission line is the vector sum of the vertical specific load and the horizontal specific load of the target output line. The vertical specific load includes the self-weight specific load and the ice weight specific load. The self-weight specific load is determined by its own properties, and the ice weight specific load is affected by the thickness of the ice cover. The horizontal specific load mainly considers the ice cover wind pressure specific load.

[0166] Optionally, the comprehensive load ratio is the vector sum of the vertical load ratio and the horizontal load ratio of the target output line, which can be specifically expressed by the following formula (10):

[0167] (10)

[0168] in, is the vertical specific load; is the horizontal load ratio.

[0169] Optionally, the vertical specific load includes the self-weight specific load and the ice weight specific load, specifically:

[0170] (11)

[0171] The relationship between the vertical specific load and the horizontal specific load can be expressed by the following formula (12):

[0172] (12)

[0173] in, is the wind deflection angle.

[0174] Furthermore, by combining formula (10), formula (11) and formula (12), the relationship between ice weight specific load, deadweight specific load and comprehensive specific load can be obtained, as shown in the following formula (13):

[0175] (13)

[0176] At the same time, considering the relationship between ice weight load and ice thickness:

[0177] (14)

[0178] in, is the ice density. In the embodiment of the present application, the ice density can be ; is the outer diameter of the target transmission line, in units of ; is the thickness of ice cover.

[0179] Therefore, combining formula (13) and formula (14), we can derive the relationship between ice thickness and comprehensive specific load and deadweight specific load. On this basis, Figure 10As shown, a method for determining the ice thickness of a target transmission line is provided, which specifically includes the following steps:

[0180] S1001: The product of the cosine value of the wind angle and the comprehensive specific load and the difference between the self-weight specific load are used as the fifth intermediate parameter.

[0181] Optionally, the process of taking the product of the cosine value of the wind deflection angle and the comprehensive specific load and the difference between the deadweight specific load as the fifth intermediate parameter can be expressed by the following formula (15):

[0182] (15)

[0183] in, is the fifth intermediate parameter.

[0184] S1002: Determine the ice thickness of the target transmission line based on the cross-sectional area, the outer diameter, and the fifth intermediate parameter.

[0185] Optionally, the process of determining the ice thickness of the target transmission line based on the cross-sectional area, outer diameter, and the fifth intermediate parameter can be expressed by the following formula (16):

[0186] (16)

[0187] In this embodiment, by introducing the fifth intermediate parameter, the cross-sectional area and the outer diameter, a method for quickly and accurately determining the ice thickness of the target transmission line is provided.

[0188] Figure 11 FIG2 is a flow chart of a method for early warning of ice coating on a transmission line in another embodiment. Based on the above embodiment, this embodiment provides an optional example of a method for early warning of ice coating on a transmission line. Figure 11 The specific implementation process is as follows:

[0189] S1101, obtaining the current temperature and current maximum sag of the target transmission line.

[0190] S1102: Determine the predicted maximum sag of the target transmission line at the current temperature based on the current temperature and the corresponding relationship between the maximum sag and the temperature.

[0191] Optionally, historical monitoring data of the target transmission line is obtained by installing a monitoring instrument on the target transmission line; wherein the historical monitoring data includes historical temperature and historical maximum sag at different historical moments; from the historical monitoring data, historical monitoring data of the target transmission line in an ideal environment is extracted as target monitoring data; wherein the ideal environment at least includes an ice-free and windless environment; based on the target monitoring data, a corresponding relationship between the maximum sag and temperature of the target transmission line is constructed.

[0192] S1103: Taking the difference between the current maximum sag and the predicted maximum sag as the sag difference.

[0193] S1104, determine whether the sag difference is greater than a preset error threshold; if so, determine that the target transmission line is iced and execute S1105; if not, determine that the target transmission line is not iced and continue monitoring.

[0194] S1105, obtaining characteristic data of the target transmission line.

[0195] The characteristic data includes static characteristic data and dynamic characteristic data. The static characteristic data includes the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient, and elastic coefficient of the target transmission line. The dynamic characteristic data includes the horizontal span, elevation angle, wind angle, first temperature under ideal conditions, and second temperature under abnormal conditions of the target transmission line. The current load ratio parameters include the deadweight load ratio under ideal conditions and the comprehensive load ratio under abnormal conditions. The ideal environment includes at least an ice-free and windless environment, and the abnormal environment includes at least an ice-covered and windy environment.

[0196] Optionally, dynamic characteristic data can be obtained through monitoring instruments installed on the target transmission line; static characteristic data can be determined based on the attribute information of the target transmission line; and the current load ratio parameter of the target transmission line can be determined based on the static characteristic data, dynamic characteristic data, predicted maximum sag and current maximum sag.

[0197] S1106: The product of the mass parameter in the characteristic data and the gravitational acceleration is used as the first intermediate parameter.

[0198] S1107: Determine the deadweight specific load according to the ratio between the first intermediate parameter and the cross-sectional area in the characteristic data.

[0199] S1108, determining a comprehensive specific load based on the deadweight specific load, the predicted maximum sag, the current maximum sag and the characteristic data.

[0200] Optionally, the ratio of the product of the current maximum sag and the deadweight specific load to the predicted maximum sag is used as the second intermediate parameter; the third intermediate parameter is determined based on the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span and the height difference angle; the fourth intermediate parameter is determined based on the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle and the horizontal span; the difference between the second intermediate parameter and the third intermediate parameter and the difference between the fourth intermediate parameter are used as the comprehensive specific load.

[0201] S1109: The difference between the product of the cosine value of the wind angle in the characteristic data and the comprehensive specific load and the deadweight specific load is used as the fifth intermediate parameter.

[0202] S1110 , determining the ice thickness of the target transmission line based on the cross-sectional area, outer diameter, and fifth intermediate parameter in the characteristic data.

[0203] S1111: Issue an ice cover warning to the target transmission line based on the ice cover thickness.

[0204] The specific process of the above S1101-S1111 can be found in the description of the above method embodiment. The implementation principle and technical effects are similar and will not be repeated here.

[0205] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0206] Based on the same inventive concept, embodiments of the present application also provide a transmission line icing warning device for implementing the aforementioned transmission line icing warning method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the transmission line icing warning device provided below can be found in the limitations of the transmission line icing warning method described above and will not be further elaborated here.

[0207] In one embodiment, Figure 12 As shown, a transmission line icing warning device 1 is provided, comprising: a data acquisition module 10, a sag determination module 20, an icing determination module 30 and an icing warning module 40, wherein:

[0208] The data acquisition module 10 is used to obtain the current temperature and current maximum sag of the target transmission line.

[0209] The sag determination module 20 is configured to determine the predicted maximum sag of the target transmission line at the current temperature according to the current temperature and the corresponding relationship between the maximum sag and the temperature.

[0210] The icing determination module 30 is used to determine whether ice is present on the target transmission line based on the current maximum sag and the predicted maximum sag.

[0211] The icing warning module 40 is used to issue an icing warning to the target transmission line when it is determined that the target transmission line is icing.

[0212] The above-mentioned transmission line icing warning device obtains the current temperature and current maximum sag of the target transmission line, and determines the predicted maximum sag of the target transmission line at the current temperature based on the corresponding relationship between the current temperature and the maximum sag and the temperature. Furthermore, based on the current maximum sag and the predicted maximum sag, it is determined whether the target transmission line is iced, and if it is determined that the target transmission line is iced, an ice warning is issued for the target transmission line. The above-mentioned scheme, by introducing the corresponding relationship between maximum sag and temperature, can accurately reflect the maximum sag of the target transmission line at different temperatures. Therefore, based on the corresponding relationship between maximum sag and temperature, it can accurately determine the predicted maximum sag of the target transmission line at the current temperature, that is, the maximum sag when no ice is present. Furthermore, based on the current maximum sag and the predicted maximum sag, it can reasonably and accurately determine whether the target transmission line is iced, and thus an ice warning can be accurately issued for the target transmission line.

[0213] In one embodiment, the transmission line icing warning device 1 further includes:

[0214] The data monitoring module is used to obtain historical monitoring data of the target transmission line through monitoring instruments installed on the target transmission line; wherein the historical monitoring data includes historical temperature and historical maximum sag at different historical moments.

[0215] The data extraction module is used to extract historical monitoring data of the target transmission line in an ideal environment from the historical monitoring data as the target monitoring data; wherein the ideal environment at least includes an ice-free and windless environment.

[0216] The relationship determination module is used to construct a corresponding relationship between the maximum sag and temperature of the target transmission line based on the target monitoring data.

[0217] In one embodiment, the ice coverage determination module 30 is specifically configured to:

[0218] The difference between the current maximum sag and the predicted maximum sag is taken as the sag difference; if the sag difference is greater than a preset error threshold, it is determined that ice is present on the target transmission line.

[0219] In one embodiment, the ice warning module 40 includes:

[0220] The data acquisition unit is used to obtain the characteristic data and current load parameters of the target transmission line.

[0221] The thickness determination unit is used to determine the ice thickness of the target transmission line based on the characteristic data and the current load ratio parameter.

[0222] An icing early warning unit is configured to perform icing early warning on a target power transmission line according to an icing thickness.

[0223] In one embodiment, the feature data includes static feature data and dynamic feature data, and the data acquisition unit includes:

[0224] A first acquisition subunit is configured to acquire the dynamic feature data by a monitoring instrument installed on the target power transmission line.

[0225] A second acquisition subunit is configured to determine the static feature data according to attribute information of the target power transmission line.

[0226] A third acquisition subunit is configured to determine the current specific load parameter of the target power transmission line according to the static feature data, the dynamic feature data, the predicted maximum sag, and the current maximum sag.

[0227] In one embodiment, the static feature data includes an outer diameter, a cross-sectional area, a mass parameter, a temperature expansion coefficient, and an elastic coefficient of the target power transmission line; the dynamic feature data includes a horizontal span, a difference angle, a wind deflection angle, a first temperature in an ideal environment, and a second temperature in an abnormal environment of the target power transmission line; the current specific load parameter includes a self-weight specific load in the ideal environment and a comprehensive specific load in the abnormal environment; and the ideal environment at least includes an ice-free and wind-free environment, and the abnormal environment at least includes an ice-covered and wind-blasted environment.

[0228] In one embodiment, the third acquisition subunit includes:

[0229] A first subunit is configured to take a product between the mass parameter and the gravitational acceleration as a first intermediate parameter.

[0230] A second subunit is configured to determine the self-weight specific load according to a ratio between the first intermediate parameter and the cross-sectional area.

[0231] A third subunit is configured to determine the comprehensive specific load according to the self-weight specific load, the predicted maximum sag, the current maximum sag, the static feature data, and the dynamic feature data.

[0232] In one embodiment, the third subunit includes:

[0233] A product between the current maximum sag and the self-weight specific load is taken as a ratio of the predicted maximum sag as a second intermediate parameter; a third intermediate parameter is determined according to the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span, and the difference angle; a fourth intermediate parameter is determined according to the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the difference angle, and the horizontal span; and a difference between the second intermediate parameter and the third intermediate parameter is taken as a difference of the fourth intermediate parameter as the comprehensive specific load.

[0234] In one embodiment, the thickness determination unit is configured to:

[0235] The product of the cosine value of the wind angle and the comprehensive specific load, and the difference between the self-weight specific load, is used as the fifth intermediate parameter; the ice thickness of the target transmission line is determined based on the cross-sectional area, outer diameter and the fifth intermediate parameter.

[0236] Each module in the aforementioned transmission line icing warning device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0237] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 13 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a transmission line icing warning method is implemented.

[0238] Those skilled in the art will understand that Figure 13 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0239] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0240] Obtain the current temperature and current maximum sag of the target transmission line;

[0241] According to the corresponding relationship between the current temperature and the maximum sag and temperature, the predicted maximum sag of the target transmission line at the current temperature is determined;

[0242] Determine whether the target transmission line is iced based on the current maximum sag and the predicted maximum sag;

[0243] When it is determined that the target transmission line is covered with ice, an ice covering warning is issued for the target transmission line.

[0244] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0245] Historical monitoring data of the target transmission line is obtained by installing monitoring instruments on the target transmission line; the historical monitoring data includes historical temperatures and historical maximum sags at different historical moments; historical monitoring data of the target transmission line under an ideal environment is extracted from the historical monitoring data as target monitoring data; the ideal environment at least includes an ice-free and windless environment; based on the target monitoring data, a corresponding relationship between the maximum sag and the temperature of the target transmission line is constructed.

[0246] In one embodiment, when the processor executes the computer program to determine whether ice coating occurs on the target transmission line based on the current maximum sag and the predicted maximum sag, the processor further implements the following steps:

[0247] The difference between the current maximum sag and the predicted maximum sag is taken as the sag difference; if the sag difference is greater than a preset error threshold, it is determined that ice is present on the target transmission line.

[0248] In one embodiment, when the processor executes the computer program to provide an ice cover warning for the target transmission line, the processor further implements the following steps:

[0249] Acquire characteristic data and current load ratio parameters of the target transmission line; determine the ice thickness of the target transmission line based on the characteristic data and current load ratio parameters; and issue an ice warning for the target transmission line based on the ice thickness.

[0250] In one embodiment, the characteristic data includes static characteristic data and dynamic characteristic data. When the processor executes the computer program to obtain the characteristic data and current load parameters of the target transmission line, the processor further implements the following steps:

[0251] Dynamic characteristic data is obtained through monitoring instruments installed on the target transmission line; static characteristic data is determined based on the attribute information of the target transmission line; and the current load ratio parameter of the target transmission line is determined based on the static characteristic data, dynamic characteristic data, predicted maximum sag and current maximum sag.

[0252] In one embodiment, the static characteristic data include the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient and elastic coefficient of the target transmission line; the dynamic characteristic data include the horizontal span, elevation angle, wind deviation angle, the first temperature under an ideal environment and the second temperature under an abnormal environment of the target transmission line; the current load ratio parameters include the deadweight load ratio under an ideal environment and the comprehensive load ratio under an abnormal environment; wherein, the ideal environment at least includes an ice-free and windless environment, and the abnormal environment at least includes an ice-filled and windy environment.

[0253] In one embodiment, when the processor executes the computer program to determine the current load parameter of the target transmission line based on the static characteristic data, the dynamic characteristic data, the predicted maximum sag, and the current maximum sag, the processor further implements the following steps:

[0254] The product of the mass parameter and the acceleration of gravity is used as the first intermediate parameter; the self-weight specific load is determined based on the ratio between the first intermediate parameter and the cross-sectional area; and the comprehensive specific load is determined based on the self-weight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data.

[0255] In one embodiment, when the processor executes the computer program to determine the comprehensive specific load of the target transmission line based on the deadweight specific load, the predicted maximum sag, the current maximum sag, the inherent characteristic data, and the measured characteristic data of the target transmission line, the processor further implements the following steps:

[0256] The ratio of the product of the current maximum sag and the deadweight specific load to the predicted maximum sag is used as the second intermediate parameter; the third intermediate parameter is determined based on the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span and the height difference angle; the fourth intermediate parameter is determined based on the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle and the horizontal span; the difference between the second intermediate parameter and the third intermediate parameter and the difference between the fourth intermediate parameter are used as the comprehensive specific load.

[0257] In one embodiment, when the processor executes the computer program to determine the ice thickness of the target transmission line based on the characteristic data and the current load ratio parameter, the processor further implements the following steps:

[0258] The product of the cosine value of the wind angle and the comprehensive specific load, and the difference between the self-weight specific load, is used as the fifth intermediate parameter; the ice thickness of the target transmission line is determined based on the cross-sectional area, outer diameter and the fifth intermediate parameter.

[0259] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0260] Obtain the current temperature and current maximum sag of the target transmission line;

[0261] According to the corresponding relationship between the current temperature and the maximum sag and temperature, the predicted maximum sag of the target transmission line at the current temperature is determined;

[0262] Determine whether the target transmission line is iced based on the current maximum sag and the predicted maximum sag;

[0263] When it is determined that the target transmission line is covered with ice, an ice covering warning is issued for the target transmission line.

[0264] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0265] Historical monitoring data of the target transmission line is obtained by installing monitoring instruments on the target transmission line; the historical monitoring data includes historical temperatures and historical maximum sags at different historical moments; historical monitoring data of the target transmission line under an ideal environment is extracted from the historical monitoring data as target monitoring data; the ideal environment at least includes an ice-free and windless environment; based on the target monitoring data, a corresponding relationship between the maximum sag and the temperature of the target transmission line is constructed.

[0266] In one embodiment, when the processor executes the computer program to determine whether ice coating occurs on the target transmission line based on the current maximum sag and the predicted maximum sag, the processor further implements the following steps:

[0267] The difference between the current maximum sag and the predicted maximum sag is taken as the sag difference; if the sag difference is greater than a preset error threshold, it is determined that ice is present on the target transmission line.

[0268] In one embodiment, when the processor executes the computer program to provide an ice cover warning for the target transmission line, the processor further implements the following steps:

[0269] Acquire characteristic data and current load ratio parameters of the target transmission line; determine the ice thickness of the target transmission line based on the characteristic data and current load ratio parameters; and issue an ice warning for the target transmission line based on the ice thickness.

[0270] In one embodiment, the characteristic data includes static characteristic data and dynamic characteristic data. When the processor executes the computer program to obtain the characteristic data and current load parameters of the target transmission line, the processor further implements the following steps:

[0271] Dynamic characteristic data is obtained through monitoring instruments installed on the target transmission line; static characteristic data is determined based on the attribute information of the target transmission line; and the current load ratio parameter of the target transmission line is determined based on the static characteristic data, dynamic characteristic data, predicted maximum sag and current maximum sag.

[0272] In one embodiment, the static characteristic data include the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient and elastic coefficient of the target transmission line; the dynamic characteristic data include the horizontal span, elevation angle, wind deviation angle, the first temperature under an ideal environment and the second temperature under an abnormal environment of the target transmission line; the current load ratio parameters include the deadweight load ratio under an ideal environment and the comprehensive load ratio under an abnormal environment; wherein, the ideal environment at least includes an ice-free and windless environment, and the abnormal environment at least includes an ice-filled and windy environment.

[0273] In one embodiment, when the processor executes the computer program to determine the current load parameter of the target transmission line based on the static characteristic data, the dynamic characteristic data, the predicted maximum sag, and the current maximum sag, the processor further implements the following steps:

[0274] The product of the mass parameter and the acceleration of gravity is used as the first intermediate parameter; the self-weight specific load is determined based on the ratio between the first intermediate parameter and the cross-sectional area; and the comprehensive specific load is determined based on the self-weight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data.

[0275] In one embodiment, when the processor executes the computer program to determine the comprehensive specific load of the target transmission line based on the deadweight specific load, the predicted maximum sag, the current maximum sag, the inherent characteristic data, and the measured characteristic data of the target transmission line, the processor further implements the following steps:

[0276] The ratio of the product of the current maximum sag and the deadweight specific load to the predicted maximum sag is used as the second intermediate parameter; the third intermediate parameter is determined based on the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span and the height difference angle; the fourth intermediate parameter is determined based on the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle and the horizontal span; the difference between the second intermediate parameter and the third intermediate parameter and the difference between the fourth intermediate parameter are used as the comprehensive specific load.

[0277] In one embodiment, when the processor executes the computer program to determine the ice thickness of the target transmission line based on the characteristic data and the current load ratio parameter, the processor further implements the following steps:

[0278] The product of the cosine value of the wind angle and the comprehensive specific load, and the difference between the self-weight specific load, is used as the fifth intermediate parameter; the ice thickness of the target transmission line is determined based on the cross-sectional area, outer diameter and the fifth intermediate parameter.

[0279] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0280] Obtain the current temperature and current maximum sag of the target transmission line;

[0281] According to the corresponding relationship between the current temperature and the maximum sag and temperature, the predicted maximum sag of the target transmission line at the current temperature is determined;

[0282] Determine whether the target transmission line is iced based on the current maximum sag and the predicted maximum sag;

[0283] When it is determined that the target transmission line is covered with ice, an ice covering warning is issued for the target transmission line.

[0284] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0285] Historical monitoring data of the target transmission line is obtained by installing monitoring instruments on the target transmission line; the historical monitoring data includes historical temperatures and historical maximum sags at different historical moments; historical monitoring data of the target transmission line under an ideal environment is extracted from the historical monitoring data as target monitoring data; the ideal environment at least includes an ice-free and windless environment; based on the target monitoring data, a corresponding relationship between the maximum sag and the temperature of the target transmission line is constructed.

[0286] In one embodiment, when the processor executes the computer program to determine whether ice coating occurs on the target transmission line based on the current maximum sag and the predicted maximum sag, the processor further implements the following steps:

[0287] The difference between the current maximum sag and the predicted maximum sag is taken as the sag difference; if the sag difference is greater than a preset error threshold, it is determined that ice is present on the target transmission line.

[0288] In one embodiment, when the processor executes the computer program to provide an ice cover warning for the target transmission line, the processor further implements the following steps:

[0289] Acquire characteristic data and current load ratio parameters of the target transmission line; determine the ice thickness of the target transmission line based on the characteristic data and current load ratio parameters; and issue an ice warning for the target transmission line based on the ice thickness.

[0290] In one embodiment, the characteristic data includes static characteristic data and dynamic characteristic data. When the processor executes the computer program to obtain the characteristic data and current load parameters of the target transmission line, the processor further implements the following steps:

[0291] Dynamic characteristic data is obtained through monitoring instruments installed on the target transmission line; static characteristic data is determined based on the attribute information of the target transmission line; and the current load ratio parameter of the target transmission line is determined based on the static characteristic data, dynamic characteristic data, predicted maximum sag and current maximum sag.

[0292] In one embodiment, the static characteristic data include the outer diameter, cross-sectional area, mass parameters, temperature expansion coefficient and elastic coefficient of the target transmission line; the dynamic characteristic data include the horizontal span, elevation angle, wind deviation angle, the first temperature under an ideal environment and the second temperature under an abnormal environment of the target transmission line; the current load ratio parameters include the deadweight load ratio under an ideal environment and the comprehensive load ratio under an abnormal environment; wherein, the ideal environment at least includes an ice-free and windless environment, and the abnormal environment at least includes an ice-filled and windy environment.

[0293] In one embodiment, when the processor executes the computer program to determine the current load parameter of the target transmission line based on the static characteristic data, the dynamic characteristic data, the predicted maximum sag, and the current maximum sag, the processor further implements the following steps:

[0294] The product of the mass parameter and the acceleration of gravity is used as the first intermediate parameter; the self-weight specific load is determined based on the ratio between the first intermediate parameter and the cross-sectional area; and the comprehensive specific load is determined based on the self-weight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data.

[0295] In one embodiment, when the processor executes the computer program to determine the comprehensive specific load of the target transmission line based on the deadweight specific load, the predicted maximum sag, the current maximum sag, the inherent characteristic data, and the measured characteristic data of the target transmission line, the processor further implements the following steps:

[0296] The ratio of the product of the current maximum sag and the deadweight specific load to the predicted maximum sag is used as the second intermediate parameter; the third intermediate parameter is determined based on the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span and the height difference angle; the fourth intermediate parameter is determined based on the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle and the horizontal span; the difference between the second intermediate parameter and the third intermediate parameter and the difference between the fourth intermediate parameter are used as the comprehensive specific load.

[0297] In one embodiment, when the processor executes the computer program to determine the ice thickness of the target transmission line based on the characteristic data and the current load ratio parameter, the processor further implements the following steps:

[0298] The product of the cosine value of the wind angle and the comprehensive specific load, and the difference between the self-weight specific load, is used as the fifth intermediate parameter; the ice thickness of the target transmission line is determined based on the cross-sectional area, outer diameter and the fifth intermediate parameter.

[0299] It should be noted that the data involved in this application (including but not limited to data used for analysis, storage, display, etc.) are all information and data fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0300] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0301] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0302] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A transmission line icing warning method, characterized in that: The method comprises: Obtain the current temperature and current maximum sag of the target transmission line; Determining a predicted maximum sag of the target transmission line at the current temperature based on the current temperature and a correspondence between the maximum sag and the temperature; wherein the correspondence between the maximum sag and the temperature represents the maximum sag of the target transmission line at different temperatures, and the correspondence between the maximum sag and the temperature is constructed based on historical monitoring data of the target transmission line under an ideal environment, wherein the ideal environment includes at least an ice-free and windless environment, and the historical monitoring data includes historical temperatures and historical maximum sags of the target transmission line at different historical moments; determining whether ice coating occurs on the target transmission line according to the current maximum sag and the predicted maximum sag; When it is determined that the target transmission line is iced, characteristic data of the target transmission line is obtained; the characteristic data includes static characteristic data and dynamic characteristic data, the static characteristic data includes the outer diameter, cross-sectional area, mass parameter, temperature expansion coefficient and elastic coefficient of the target transmission line; the dynamic characteristic data includes the horizontal span, elevation angle, wind angle, a first temperature under an ideal environment and a second temperature under an abnormal environment of the target transmission line; the abnormal environment includes at least an environment with ice and wind; The product of the mass parameter and the gravitational acceleration is used as the first intermediate parameter; Determining the deadweight specific load under an ideal environment according to the ratio between the first intermediate parameter and the cross-sectional area; wherein the ideal environment at least includes an ice-free and windless environment; determining a comprehensive specific load under abnormal conditions according to the deadweight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data; determining the ice thickness of the target transmission line according to the characteristic data, the deadweight specific load and the comprehensive specific load; An ice cover warning is issued to the target transmission line according to the ice cover thickness.

2. The method according to claim 1, characterized in that The corresponding relationship between the maximum sag and temperature is determined by the following method: Obtaining historical monitoring data of the target transmission line by means of a monitoring instrument installed on the target transmission line; wherein the historical monitoring data includes historical temperature and historical maximum sag at different historical moments; Extracting, from the historical monitoring data, historical monitoring data of the target transmission line in an ideal environment as target monitoring data; wherein the ideal environment at least includes an ice-free and windless environment; According to the target monitoring data, a corresponding relationship between the maximum sag and the temperature of the target transmission line is constructed.

3. The method according to claim 1, characterized in that The determining, based on the current maximum sag and the predicted maximum sag, whether ice coating occurs on the target transmission line includes: Taking the difference between the current maximum sag and the predicted maximum sag as the sag difference; If the sag difference is greater than a preset error threshold, it is determined that ice coating occurs on the target transmission line.

4. The method according to claim 1, wherein The characteristic data includes static characteristic data and dynamic characteristic data, and obtaining the characteristic data of the target transmission line includes: Acquiring the dynamic characteristic data through a monitoring instrument installed on the target transmission line; The static feature data is determined according to the attribute information of the target transmission line.

5. The method according to claim 1, wherein The determining of the comprehensive specific load under abnormal conditions according to the deadweight specific load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data includes: The ratio of the product of the current maximum sag and the deadweight specific load to the predicted maximum sag is used as a second intermediate parameter; determining a third intermediate parameter according to the current maximum sag, the predicted maximum sag, the elastic coefficient, the horizontal span, and the height difference angle; determining a fourth intermediate parameter according to the temperature expansion coefficient, the current maximum sag, the first temperature, the second temperature, the height difference angle, and the horizontal span; The difference between the second intermediate parameter and the third intermediate parameter, and the difference between the fourth intermediate parameter, are used as the comprehensive ratio.

6. The method according to claim 1, characterized in that The step of determining the ice thickness of the target transmission line according to the characteristic data, the deadweight specific load, and the comprehensive specific load includes: The difference between the product of the cosine value of the wind deflection angle and the comprehensive specific load and the deadweight specific load is used as a fifth intermediate parameter; The ice coating thickness of the target transmission line is determined according to the cross-sectional area, the outer diameter and the fifth intermediate parameter.

7. A transmission line icing warning device, characterized in that: The device comprises: A data acquisition module is used to obtain the current temperature and current maximum sag of the target transmission line; a sag determination module, configured to determine a predicted maximum sag of the target transmission line at the current temperature based on the current temperature and a correspondence between the maximum sag and the temperature; wherein the correspondence between the maximum sag and the temperature represents the maximum sag of the target transmission line at different temperatures, and the correspondence between the maximum sag and the temperature is constructed based on historical monitoring data of the target transmission line under an ideal environment, wherein the ideal environment includes at least an ice-free and windless environment, and the historical monitoring data includes historical temperatures and historical maximum sags of the target transmission line at different historical moments; an icing determination module, configured to determine whether icing occurs on the target transmission line based on the current maximum sag and the predicted maximum sag; An icing warning module is configured to, upon determining that ice has occurred on the target transmission line, obtain characteristic data of the target transmission line; the characteristic data comprising static characteristic data and dynamic characteristic data; the static characteristic data comprising the outer diameter, cross-sectional area, mass parameter, temperature expansion coefficient, and elastic modulus of the target transmission line; the dynamic characteristic data comprising the horizontal span, elevation angle, wind yaw angle, a first temperature under an ideal environment, and a second temperature under an abnormal environment; the abnormal environment comprising at least an environment with ice and wind; use the product of the mass parameter and the acceleration of gravity as a first intermediate parameter; determine the deadweight load under an ideal environment based on the ratio between the first intermediate parameter and the cross-sectional area; wherein the ideal environment comprises at least an environment without ice and wind; determine a comprehensive load under an abnormal condition based on the deadweight load, the predicted maximum sag, the current maximum sag, the static characteristic data, and the dynamic characteristic data; determine the ice thickness of the target transmission line based on the characteristic data, the deadweight load, and the comprehensive load; and issue an icing warning for the target transmission line based on the ice thickness.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images