A method, device and medium for monitoring the icing state of a transmission line

Abstract

The present application discloses a method, device and medium for monitoring the icing state of a transmission line. The method includes: a main control module receives icing test data of an icing sampling unit and a target transmission line, and the icing test data includes icing thickness data of the icing sampling unit under different meteorological data and icing thickness data of the target transmission line; according to the icing test data, determine a first correction coefficient and a conversion coefficient of the icing sampling unit and the target transmission line; obtain the current mass data of the icing sampling unit through a weighing sensing unit, and obtain the current meteorological data of the icing sampling unit through a meteorological sensing unit; according to the current mass data, the current meteorological data, the first correction coefficient and the conversion coefficient, determine the current estimated value of the icing thickness of the target transmission line. The technical solution provided by the present application can ensure the accuracy of icing thickness calculation and has great practical value.

Description

Technical Field

[0001] This application relates to the field of transmission line monitoring, and specifically relates to a method, device, and medium for monitoring the icing state of transmission lines. Background Art

[0002] Icing / snow on the surface of transmission lines is a consequence of special weather. With the rapid development of the national power system, the transmission lines of the power system are more and more densely distributed in various regions. The icing / snow on the transmission lines directly brings great harm and losses to the power grid and affects its normal operation. Therefore, how to effectively monitor, prevent icing on transmission lines and provide reliable de-icing solutions is particularly important.

[0003] In recent years, with the rapid development of sensor technology and communication technology, the existing technology calculates the comprehensive load of the icing conductor by measuring the suspension point inclination angle of the line conductor, the conductor temperature, and the deflection angle of the suspension insulator string, and directly compares the calculation result with the design parameters of the transmission line to give an alarm signal. This solution based on a tension sensor needs to combine the tension sensor with the transmission line conductor, which is complex to install, and it is not easy for the power department to accept the re-customized conductor hanging ring. Calculating the icing thickness based on tension monitoring requires constructing a complex mechanical model according to the working conditions, with complex calculations and inaccurate equivalent values, making it difficult to calculate the icing thickness value and resulting in large errors.

[0004] Another existing technology collects images of the transmission line before and after icing through an industrial camera on a high-voltage iron tower, and then transmits them to the power system control center through the GPRS network and the Internet network. The computer system of the control center processes the images, extracts their boundary contours, and finally compares the boundary of the conductor and insulator in the icing state and the non-icing state, and obtains the icing thickness at that time through a certain calibration calculation method. However, due to the influence of various factors and the real-time environment, it is difficult to determine this mathematical model, resulting in inaccurate monitoring of the icing monitoring system. At the same time, the monitoring equipment based on the image sensor solution is easily affected by the weather, and the image equipment is wrapped and iced, affecting the judgment of icing by the image. When the lens of the image equipment is covered by ice, it is necessary to rely on heating de-icing to normally collect image videos, which requires adding more redundancy to the power supply system of the equipment. Moreover, the image equipment cannot guarantee the image effect in rainy and snowy weather and cannot really play the role of icing monitoring. Summary of the Invention

[0005] To solve the above problems, this application proposes a method, device, and medium for monitoring the icing state of transmission lines, which are applied to the transmission line icing state monitoring system. The system includes: an icing sampling unit, a weighing sensing unit, a meteorological sensing unit, and a main control module. The icing sampling unit is set within a preset range of the target transmission line. The method includes:

[0006] The master control module receives the icing test data of the icing sampling unit and the target transmission line. The icing test data includes the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data. According to the icing test data, determine the first correction coefficient and the conversion coefficient of the icing sampling unit and the target transmission line. Obtain the current mass data of the icing sampling unit through the weighing sensing unit, and obtain the current meteorological data of the icing sampling unit through the meteorological sensing unit. According to the current mass data, the current meteorological data, the first correction coefficient and the conversion coefficient, determine the current icing thickness prediction value of the target transmission line.

[0007] In one example, the step of determining the first correction coefficient and the conversion coefficient of the icing sampling unit and the target transmission line according to the icing test data specifically includes: obtaining the unit parameters of the icing sampling unit and the line parameters of the target transmission line; according to the unit parameters and the line parameters, determining the initial correction coefficient and the initial conversion coefficient corresponding to the icing sampling unit; according to the icing test data, determining the corresponding relationship between the icing thickness of the icing sampling unit and the target transmission line; according to the corresponding relationship, adjusting the initial correction coefficient and the initial conversion coefficient to obtain the first correction coefficient and the conversion coefficient.

[0008] In one example, the step of determining the current icing thickness prediction value of the target transmission line according to the current mass data, the current meteorological data, the trained first correction coefficient and the conversion coefficient specifically includes: determining the icing volume change value of the icing sampling unit according to the mass change value; determining the icing thickness outside the icing sampling unit according to the icing volume change value; through the following formula, determining the current icing thickness prediction value of the target transmission line according to the icing thickness outside the icing sampling unit: C = KC0 + D1; where C is the current icing thickness prediction value of the target transmission line, K is the conversion coefficient, C0 is the icing thickness outside the icing sampling unit, and D1 is the first correction coefficient.

[0009] In one example, before determining the icing volume change value of the icing sampling unit according to the mass change value, the method further includes: determining the mass change value according to the current mass data and the initial mass data of the icing sampling unit; determining the preset mass change threshold and the meteorological data threshold; if the mass change value exceeds the mass change threshold and the meteorological data exceeds the meteorological data threshold, it is determined that the target transmission line has icing conditions.

[0010] In one example, after determining the predicted current ice coating thickness of the target transmission line, the method further includes: obtaining predicted meteorological data at multiple future time points of the ice coating sampling unit, and determining a meteorological data change range according to the predicted meteorological data and the current meteorological data; determining an ice coating risk value of the target transmission line at the future time point according to the meteorological data change range and the predicted ice coating thickness value.

[0011] In one example, the determining the ice coating risk value of the target transmission line at the future time point according to the meteorological data change range and the predicted ice coating thickness value specifically includes: determining a meteorological data change trend of the ice coating sampling unit according to the meteorological data change range and the current meteorological data; determining the target time points at which the predicted meteorological data exceeds a preset meteorological data threshold according to the meteorological data change trend and the meteorological data change range; obtaining a predicted meteorological data set within a preset time range of the target time points; determining a risk duration and a risk extreme value in the predicted meteorological data set that exceed the preset meteorological data threshold; and determining the ice coating risk value of the target transmission line at the future time point through the following formula according to the risk duration, the risk extreme value, and the predicted current ice coating thickness value: F = GC + TQ + D2; where F is the ice coating risk value, G is an ice coating correction coefficient determined by the prediction duration and the predicted meteorological data set within the prediction duration, C is the predicted current ice coating thickness value, T is the risk duration, Q is the risk extreme value, and D2 is a second correction coefficient.

[0012] In one example, the system further includes an alarm module, a de-icing module, and a communication module, and the alarm module and the de-icing module are respectively connected to the main control module; the ice coating sampling unit, the weighing sensing unit, and the meteorological sensing unit are connected to the main control module, and the weighing module is connected to the ice coating sampling unit; after determining the predicted current ice coating thickness of the target transmission line, the method further includes: determining that the predicted current ice coating thickness value exceeds an early warning threshold, and then sending an alarm through the alarm module and removing the ice coating on the surface of the target transmission line through the de-icing module.

[0013] In one example, the meteorological data at least includes temperature data, humidity data, wind direction data, wind speed data, and air pressure data.

[0014] The present application also provides a monitoring device for the icing state of a transmission line, which is applied to a monitoring system for the icing state of a transmission line. The system includes an icing sampling unit, a weighing sensing unit, a meteorological sensing unit, and a main control module. The icing sampling unit is arranged within a preset range of the target transmission line. The device includes at least one processor; and a memory communicatively connected to the at least one processor. Wherein, the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute: the main control module receives the icing test data of the icing sampling unit and the target transmission line, and the icing test data includes the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data; according to the icing test data, determine the first correction coefficient and the conversion coefficient of the icing sampling unit and the target transmission line; obtain the current mass data of the icing sampling unit through the weighing sensing unit, and obtain the current meteorological data of the icing sampling unit through the meteorological sensing unit; according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient, determine the current estimated icing thickness of the target transmission line.

[0015] The present application also provides a non-volatile computer storage medium storing computer-executable instructions, and the computer-executable instructions are set as follows: the main control module receives the icing test data of the icing sampling unit and the target transmission line, and the icing test data includes the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data; according to the icing test data, determine the first correction coefficient and the conversion coefficient of the icing sampling unit and the target transmission line; obtain the current mass data of the icing sampling unit through the weighing sensing unit, and obtain the current meteorological data of the icing sampling unit through the meteorological sensing unit; according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient, determine the current estimated icing thickness of the target transmission line.

[0016] The method proposed by the present application does not require the device to be combined with the transmission line conductor, and the arrangement method is relatively simple. At the same time, when calculating the icing thickness, the physical model and the calculation amount are simpler than those of the tension sensor method. At the same time, the device is not affected by weather, can ensure the accuracy of the icing thickness calculation, and has great practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0018] Figure 1 It is a schematic flow chart of a method for monitoring the icing state of a transmission line in an embodiment of the present application;

[0019] Figure 2 It is a schematic structural diagram of a device for monitoring the icing state of a transmission line in an embodiment of the present application. Detailed implementation manners

[0020] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0021] The following will, in conjunction with the drawings, detail the technical solutions provided by each embodiment of the present application.

[0022] Figure 1 It is a schematic flow chart of a method for monitoring the icing state of a transmission line provided by one or more embodiments of this specification. This method can be applied to different types of transmission lines. This process can be executed by a computing device (the master control device in the system in the present application) within the system. Some input parameters or intermediate results in the process allow manual intervention and adjustment to help improve accuracy.

[0023] As Figure 1 shown, an embodiment of the present application provides a method for monitoring the icing state of a transmission line, which is applied to a transmission line icing state monitoring system. The system here includes: an icing sampling unit, a weighing sensing unit, a meteorological sensing unit, and a master control module. It should be noted that the icing sampling unit is an analog wire set in combination with the material and shape of the transmission wire. At the same time, the analog wire in the design of this solution is replaceable and can be adapted to different voltage levels and wire types. Its structure is a cylindrical shell. According to the outer dimension of the shell, the shell volume of the icing sampling unit can be known in advance as V0. At the same time, the icing sampling unit is set within the preset range of the target transmission line, that is, set beside or near the target transmission line, so that the icing sampling unit and the target transmission line can be in the same meteorological condition. The method for monitoring the icing state of a transmission line includes:

[0024] S101: The main control module receives the icing test data of the icing sampling unit and the target transmission line. The icing test data includes the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data.

[0025] Since the icing sampling unit and the target transmission line are under the same meteorological conditions, when the outer shell of the target transmission line is iced, the surface of the icing sampling unit set according to the material and shape of the target transmission line will also be iced. Therefore, when calculating the icing thickness of the target transmission line, the icing thickness of the icing sampling unit can be used for calculation. However, since the material or the initial thickness of the shell of the icing sampling unit is different from that of the target transmission line, even under the same meteorological conditions, the icing thickness outside the shells of the icing sampling unit and the target transmission line will not be the same. At this time, it is first necessary to obtain the test data of the icing sampling unit. The test data here is the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data. Simply put, it is to obtain many sets of comparison data. Each set of comparison data here is the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under the same meteorological conditions, and the meteorological conditions between each set of comparison data are different.

[0026] It should be noted that the above test data can be pre-stored in the storage device of the computer device. When needed, the computing device can select the test data from the storage device. Of course, the computing device can also obtain the test data from other external devices. For example, the test data is stored in the cloud. When needed, the computing device can obtain the test data from the cloud. The embodiment does not limit the acquisition method of the test data.

[0027] S102: According to the icing test data, determine the first correction coefficient and the conversion coefficient between the icing sampling unit and the target transmission line.

[0028] After obtaining the test data of the icing sampling unit, determine the preset initial icing thickness calculation model. The initial icing thickness calculation model here is a calculation model for calculating the icing thickness outside the shell of the target transmission line when the icing thickness outside the shell of the icing sampling unit is known. Since there are differences between the actual wire and the icing sampling unit, and this difference is related to wind speed, ambient temperature, and wire current, correction coefficients and conversion coefficients need to be added to the initial icing thickness calculation model according to actual tests to ensure the accuracy of the icing thickness data. By using the test data, adjust the first correction coefficient and the conversion coefficient to obtain the trained icing thickness calculation model.

[0029] It should be noted that the ice coating thickness calculation model is a mathematical model constructed based on machine learning algorithms. The initially constructed ice coating thickness calculation model is pre-trained with a training data set. When the set training accuracy and accuracy are achieved, it is determined that the ice coating thickness calculation model for the current training is completed and can be used for prediction processing.

[0030] S103: Obtain the current mass data of the ice coating sampling unit through the weighing sensing unit, and obtain the current meteorological data of the ice coating sampling unit through the meteorological sensing unit.

[0031] After the ice coating thickness calculation model is trained, if the ice coating thickness outside the housing of the ice coating sampling unit is known, the ice coating thickness outside the target transmission line can be directly obtained. At this time, it is necessary to obtain the current mass data of the ice coating sampling unit through the weighing sensing unit, and obtain the current meteorological data of the ice coating sampling unit through the meteorological sensing unit. It should be noted that the core component of the weighing sensing unit is a pressure weighing sensor, which is used to record the mass of the ice coating sampling unit, and the initial mass of the ice coating sampling unit is known.

[0032] S104: Determine the current ice coating thickness prediction value of the target transmission line according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient.

[0033] After obtaining the current mass data and current meteorological data of the ice coating sampling unit, the ice coating thickness outside the housing of the ice coating sampling unit can be obtained, and then the current ice coating thickness prediction value of the target transmission line can be determined according to the trained ice coating thickness calculation model.

[0034] In one embodiment, when training the first correction coefficient and the conversion coefficient according to the test data, it is first necessary to obtain the unit parameters of the ice coating sampling unit and the line parameters of the target transmission line. Briefly speaking, that is, to obtain the parameter differences between the ice coating sampling unit and the target transmission line, and then determine the initial correction coefficient and the initial conversion coefficient corresponding to the ice coating sampling unit according to the parameter differences. Then, through the test data, the corresponding relationship between the ice coating thickness of the ice coating sampling unit and the target transmission line is determined. According to the corresponding relationship, the initial correction coefficient and the initial conversion coefficient are adjusted to obtain the first correction coefficient and the conversion coefficient. This process can be regarded as a regression process. Through a large number of test data, the initial correction coefficient and the conversion coefficient are adjusted to obtain correction coefficients and conversion coefficients that better meet the test data.

[0035] In one embodiment, when determining the current ice coating thickness of the target transmission line according to the current quality data, the current meteorological data, and the trained ice coating thickness calculation model, first, it is necessary to determine the change value of the ice coating volume of the ice coating sampling unit according to the quality change value, and this process can be calculated through the density of ice. Then, according to the change value of the ice coating volume, the ice coating thickness outside the ice coating sampling unit is determined. Ideally, after the target transmission line and the outside of the ice coating sampling unit housing are coated with ice, they are still regular circles. Generally speaking, assume that the initial weight of the ice coating sampling unit is M0, and the quality of the ice coating sampling unit changes after ice coating. At this time, the weight of the ice coating sampling unit is M1. At this time, ΔM = M0 - M1, and the volume of the ice coating ΔV = ΔM / ρ. Assume that the radius of the ice coating sampling unit is r and the length is h, then the initial volume is V0 = πr 2 h, and the volume after ice coating is V = ΔV + V0 = πR 2 h. At this time, R is the radius after ice coating. The predicted value of the current ice coating thickness of the target transmission line can be determined according to the following formula based on the ice coating thickness outside the ice coating sampling unit:

[0036] C = KC0 + D1

[0037] Where C is the predicted value of the current ice coating thickness of the target transmission line, K is the conversion coefficient, C0 is the ice coating thickness outside the ice coating sampling unit, and D1 is the first correction coefficient.

[0038] In one embodiment, since the weighing sensing unit determines the quality of the ice coating sampling unit by means of tension or pressure, etc., the quality of the ice coating sampling unit may also change due to external factors such as wind and foreign objects. Therefore, before determining the change value of the ice coating volume of the ice coating sampling unit according to the quality change value, the quality change value can be determined according to the current quality data and the initial quality data of the ice coating sampling unit, and then the preset quality change threshold and meteorological data threshold are determined. If the quality change value exceeds the quality change threshold and the meteorological data exceeds the meteorological data threshold, it is determined that the target transmission line has ice coating conditions. By adding meteorological data, the situation of prediction misjudgment can be excluded.

[0039] In one embodiment, after determining the predicted value of the current ice coating thickness of the target transmission line, the predicted meteorological data at multiple future time points of the ice coating sampling unit can also be obtained, and according to the predicted meteorological data and the current meteorological data, the meteorological data change interval is determined, and then according to the meteorological data change interval and the ice coating thickness, the ice coating risk value of the target transmission line at the future time point is determined.

[0040] Further, according to the variation range of meteorological data and the predicted value of ice coating thickness, determine the ice coating risk value of the target transmission line at a future time point, which specifically includes: According to the variation range of meteorological data and the current meteorological data, determine the variation trend of the meteorological data of the ice coating sampling unit. According to the variation trend of the meteorological data and the variation range of the meteorological data, determine the target time point when the predicted meteorological data exceeds the preset meteorological data threshold. Then obtain the predicted meteorological data set within the preset time range of the target time point, and determine the risk duration and risk extreme value in the predicted meteorological data set that exceed the preset meteorological data threshold. Then, through the following formula, according to the risk duration, risk extreme value and the current predicted value of ice coating thickness, determine the ice coating risk value of the target transmission line at a future time point:

[0041] F = GC + TQ + D2

[0042] Wherein, F is the ice coating risk value, G is the ice coating correction coefficient, which is determined by the prediction duration and the predicted meteorological data set within the prediction duration, C is the current predicted value of ice coating thickness, T is the risk duration, Q is the risk extreme value, and D2 is the second correction coefficient. When the risk value is relatively high, we consider that at this future time point, the target transmission line may be covered with ice.

[0043] In one embodiment, the system further includes an alarm module, a de-icing module, and a communication module; here, the alarm module and the de-icing module are respectively connected to the main control module. And the ice coating sampling unit, the weighing sensing unit, and the meteorological sensing unit are connected to the main control module, and the weighing module is connected to the ice coating sampling unit. And after determining the current predicted value of the ice coating thickness of the target transmission line, if the current predicted value of the ice coating thickness exceeds the warning threshold, an alarm is issued through the alarm module, and the ice on the surface of the target transmission line is removed through the de-icing module.

[0044] In one embodiment, the implementation device of the present solution uses solar photovoltaic power generation and lithium battery energy storage. And the implementation device has low-power control technology and has regular and active telemetry functions. The regular acquisition time can be set. The system-on-chip includes AP + BP (Application Processor, Baseband Processor), integrates radio frequency functions, can perform remote wireless communication, and has 4G functions. At the same time, the embodiment uses an integrated five-element micro-meteorological sensor, which can collect temperature, humidity, wind direction, wind speed, and air pressure. RS-485 communication is used between the system-on-chip and the micro-meteorological sensor to collect meteorological data in real time and judge whether it meets the conditions for ice formation. At the same time, in this embodiment, the weighing sensing unit is a digital sensor that can output a 0-5V signal.

[0045] As Figure 2 shown, the embodiment of the present application also provides a monitoring of the ice coating state of a transmission line, including:

[0046] At least one processor; and,

[0047] A memory communicatively connected to the at least one processor; wherein,

[0048] The memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to:

[0049] The main control module receives icing test data of the icing sampling unit and the target transmission line, where the icing test data includes icing thickness data of the icing sampling unit and icing thickness data of the target transmission line under different meteorological data; according to the icing test data, determine a first correction coefficient and a conversion coefficient of the icing sampling unit and the target transmission line; obtain current mass data of the icing sampling unit through the weighing sensing unit, and obtain current meteorological data of the icing sampling unit through the meteorological sensing unit; according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient, determine a current icing thickness prediction value of the target transmission line.

[0050] An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, and the computer-executable instructions are configured to:

[0051] The main control module receives icing test data of the icing sampling unit and the target transmission line, where the icing test data includes icing thickness data of the icing sampling unit and icing thickness data of the target transmission line under different meteorological data; according to the icing test data, determine a first correction coefficient and a conversion coefficient of the icing sampling unit and the target transmission line; obtain current mass data of the icing sampling unit through the weighing sensing unit, and obtain current meteorological data of the icing sampling unit through the meteorological sensing unit; according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient, determine a current icing thickness prediction value of the target transmission line.

[0052] The embodiments in the present application are all described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the partial description of the method embodiments.

[0053] The devices, media, and methods provided by the embodiments of the present application correspond one-to-one. Therefore, the devices and media also have beneficial technical effects similar to those of their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be elaborated here.

[0054] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0055] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0056] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0057] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0058] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0059] The memory may include non - permanent memory in the form of computer - readable media, random access memory (RAM) and / or non - volatile memory such as read - only memory (ROM) or flash RAM. The memory is an example of computer - readable media.

[0060] Computer - readable media includes permanent and non - permanent, removable and non - removable media that can store information by any method or technology. The information can be computer - readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase - change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read - only memory (ROM), electrically erasable programmable read - only memory (EEPROM), flash memory or other memory technologies, compact disc read - only memory (CD - ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non - transitory media that can be used to store information that can be accessed by a computing device. As defined herein, computer - readable media does not include transitory computer - readable media such as modulated data signals and carrier waves.

[0061] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non - exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising an …" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0062] The above - described are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for monitoring the icing state of a transmission line, characterized in that, Applied to the ice-covered state monitoring system of a transmission line, the system includes: an ice-covered sampling unit, a weighing sensing unit, a meteorological sensing unit, and a main control module. The ice-covered sampling unit is arranged within a preset range of the target transmission line; the method includes: The main control module receives the ice-covered test data of the ice-covered sampling unit and the target transmission line. The ice-covered test data includes the ice-covered thickness data of the ice-covered sampling unit and the ice-covered thickness data of the target transmission line under different meteorological data. According to the ice-covered test data, determine the first correction coefficient and the conversion coefficient of the ice-covered sampling unit and the target transmission line. Obtain the current mass data of the ice-covered sampling unit through the weighing sensing unit, and obtain the current meteorological data of the ice-covered sampling unit through the meteorological sensing unit. According to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient, determine the current ice-covered thickness prediction value of the target transmission line.

2. The method according to claim 1, wherein The step of determining the first correction coefficient and the conversion coefficient of the ice-covered sampling unit and the target transmission line according to the ice-covered test data specifically includes: Obtain the unit parameters of the ice-covered sampling unit and the line parameters of the target transmission line. According to the unit parameters and the line parameters, determine the initial correction coefficient and the initial conversion coefficient corresponding to the ice-covered sampling unit. According to the ice-covered test data, determine the corresponding relationship between the ice-covered thickness of the ice-covered sampling unit and the target transmission line. According to the corresponding relationship, adjust the initial correction coefficient and the initial conversion coefficient to obtain the first correction coefficient and the conversion coefficient.

3. The method according to claim 1, characterized in that, The step of determining the current ice-covered thickness prediction value of the target transmission line according to the current mass data, the current meteorological data, the first correction coefficient, and the conversion coefficient specifically includes: According to the mass change value, determine the ice-covered volume change value of the ice-covered sampling unit. According to the ice-covered volume change value, determine the ice-covered thickness outside the ice-covered sampling unit. Through the following formula, according to the ice-covered thickness outside the ice-covered sampling unit, determine the current ice-covered thickness prediction value of the target transmission line: C = KC0 + D1 Wherein, C is the current ice-covered thickness prediction value of the target transmission line, K is the conversion coefficient, C0 is the ice-covered thickness outside the ice-covered sampling unit, and D1 is the first correction coefficient.

4. The method according to claim 3, wherein Before the step of determining the ice-covered volume change value of the ice-covered sampling unit according to the mass change value, the method further includes: According to the current mass data and the initial mass data of the ice-covered sampling unit, determine the mass change value. Determine the preset mass change threshold and meteorological data threshold. If the mass change value exceeds the mass change threshold and the meteorological data exceeds the meteorological data threshold, it is determined that the target transmission line has ice-covered conditions.

5. The method according to claim 1, wherein After the step of determining the current ice-covered thickness prediction value of the target transmission line, the method further includes: Obtain the predicted meteorological data of the icing sampling unit at multiple future time points, and determine the meteorological data change range according to the predicted meteorological data and the current meteorological data; Determine the icing risk value of the target transmission line at the future time point according to the meteorological data change range and the estimated icing thickness.

6. The method according to claim 5, wherein The determining the icing risk value of the target transmission line at the future time point according to the meteorological data change range and the estimated icing thickness specifically includes: Determine the meteorological data change trend of the icing sampling unit according to the meteorological data change range and the current meteorological data; Determine the target time point at which the predicted meteorological data exceeds the preset meteorological data threshold according to the meteorological data change trend and the meteorological data change range; Obtain the predicted meteorological data set within the preset time range of the target time point; Determine the risk duration and risk extreme value in the predicted meteorological data set that exceed the preset meteorological data threshold; Determine the icing risk value of the target transmission line at the future time point through the following formula according to the risk duration, the risk extreme value, and the current estimated icing thickness: F = GC + TQ + D2 Wherein, F is the icing risk value, G is the icing correction coefficient, which is determined by the prediction duration and the predicted meteorological data set within the prediction duration, C is the current estimated icing thickness, T is the risk duration, Q is the risk extreme value, and D2 is the second correction coefficient.

7. The method according to claim 1, characterized in that The system further includes a warning module, a deicing module, and a communication module, and the warning module and the deicing module are respectively connected to the main control module; the icing sampling unit, the weighing sensing unit, and the meteorological sensing unit are connected to the main control module, and the weighing sensing unit is connected to the icing sampling unit; After determining the current estimated icing thickness of the target transmission line, the method further includes: If it is determined that the current estimated icing thickness exceeds the warning threshold, issue a warning through the warning module and remove the ice on the surface of the target transmission line through the deicing module.

8. The method according to claim 1, characterized in that, The meteorological data at least includes temperature data, humidity data, wind direction data, wind speed data, and air pressure data.

9. A monitoring device for the icing state of a transmission line, characterized in that, Applied to a transmission line icing state monitoring system, the system includes: an icing sampling unit, a weighing sensing unit, a meteorological sensing unit, and a main control module, and the icing sampling unit is arranged within a preset range of the target transmission line; the device includes: At least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute: The main control module receives the icing test data of the icing sampling unit and the target transmission line, and the icing test data includes the icing thickness data of the icing sampling unit and the icing thickness data of the target transmission line under different meteorological data; Determine a first correction factor and a conversion factor between the ice-covered sampling unit and the target transmission line according to the ice-covered test data; Obtain the current mass data of the ice-covered sampling unit through the weighing sensing unit, and obtain the current meteorological data of the ice-covered sampling unit through the meteorological sensing unit; Determine the current predicted value of the ice-covered thickness of the target transmission line according to the current mass data, the current meteorological data, the first correction factor and the conversion factor.

10. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: The main control module receives the ice-covered test data of the ice-covered sampling unit and the target transmission line, and the ice-covered test data includes the ice-covered thickness data of the ice-covered sampling unit and the ice-covered thickness data of the target transmission line under different meteorological data; Determine a first correction factor and a conversion factor between the ice-covered sampling unit and the target transmission line according to the ice-covered test data; Obtain the current mass data of the ice-covered sampling unit through the weighing sensing unit, and obtain the current meteorological data of the ice-covered sampling unit through the meteorological sensing unit; Determine the current predicted value of the ice-covered thickness of the target transmission line according to the current mass data, the current meteorological data, the first correction factor and the conversion factor.

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