Conducting wire icing strength prediction method, device and equipment of power transmission line and medium

Abstract

The invention discloses a conductor icing intensity prediction method, device and equipment for a power transmission line and a medium, relates to the technical field of computers, is applied to a power grid, and comprises the following steps: based on preset laser imaging equipment, obtaining a particle size distribution spectrum of water drops in icing airflow around a conductor of the power transmission line under a conductor icing environment condition; determining the liquid water content and the water drop median volume diameter in the target air based on the water drop particle size distribution spectrum and laser shooting view volume information of preset laser imaging equipment; determining a wire surface water drop collision coefficient value and a wire surface water drop freezing coefficient value based on the wire diameter data, the water drop median volume diameter, the liquid water content in the target air and the environment information; and based on the wire surface water drop collision coefficient value, the wire surface water drop freezing coefficient value and the environment information, determining a wire icing strength prediction result. According to the method, errors can be effectively avoided, the real-time performance, efficiency, practicability and accuracy of conductor icing strength prediction are improved, and then the user experience feeling is improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method, apparatus, equipment, and medium for predicting the icing intensity of conductors in power transmission lines. Background Technology

[0002] The problem of icing on power transmission lines has a long history. With global climate change and the development of ultra-high voltage and long-distance power transmission technology, the problem of icing disasters on power lines in winter has become increasingly prominent.

[0003] To address this issue, existing solutions involve simulating the trajectory of water droplets outside the conductor and analyzing the impact of different environmental parameters on the icing rate. Alternatively, the finite element method is used to establish a mechanical simulation model of the transmission line, and the effectiveness of the equivalent icing thickness calculation model for straight-line transmission lines under special terrain conditions is analyzed by examining the deformation degree after icing. However, in these existing solutions, the target air liquid water content and the median volume diameter of the water droplets are not easily obtained. Either the influence of these two parameters on conductor icing is not considered, or indirect measurements, similar to those using rotating multi-conductor methods, are necessary instead of direct measurements. This results in measurement errors and delays, which limit and negatively impact the accuracy and speed of conductor icing prediction. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method, apparatus, equipment, and medium for predicting the icing intensity of transmission line conductors. This method effectively avoids errors while ensuring the reliability of the predicted icing intensity, and improves the real-time performance, efficiency, practicality, and accuracy of the prediction, thereby enhancing the user experience. The specific solution is as follows:

[0005] Firstly, this application provides a method for predicting the icing intensity of transmission line conductors, applicable to power grids, including:

[0006] Based on a pre-set laser imaging device, the particle size distribution spectrum of water droplets in the icing airflow around the conductor of a power transmission line is obtained under the condition of conductor icing; the pre-set laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor.

[0007] Based on the droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device, the liquid water content and median volume diameter of the water droplets in the target air in the current icing airflow are determined; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air;

[0008] Based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, the collision coefficient value of water droplets on the conductor surface and the freezing coefficient value of water droplets on the conductor surface are determined.

[0009] Based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, the icing intensity of the conductor is predicted to determine the prediction result of the icing intensity of the conductor.

[0010] Optionally, the step of acquiring the water droplet size distribution spectrum in the icing airflow around the transmission line conductor under icing conditions using a preset laser imaging device includes:

[0011] Based on a preset laser imaging device, images of supercooled water droplets in the icing airflow between the first and second probes are captured under icing conditions on the conductor.

[0012] Image recognition is performed based on the supercooled water droplet images to determine the droplet size distribution spectrum.

[0013] Optionally, the step of performing image recognition based on the supercooled water droplet image to determine the water droplet size distribution spectrum includes:

[0014] Based on the supercooled water droplet image, the number and size of supercooled water droplets in a unit volume of air are identified to obtain the image recognition result;

[0015] Based on the image recognition results, the droplet size distribution spectrum is determined; wherein, the droplet size distribution spectrum includes the volume of supercooled water droplets within several particle size ranges per unit air volume.

[0016] Optionally, determining the water droplet collision coefficient and water droplet freezing coefficient values ​​on the conductor surface based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information includes:

[0017] Obtain the wire diameter data of the wire;

[0018] Based on the conductor diameter data, the wind speed data, the median volume diameter of the water droplets, and the corresponding supercooled water droplet density and air kinematic viscosity, the first parameter is determined.

[0019] Determine whether the value of the first parameter is greater than a first preset threshold to determine the determination result of the first parameter;

[0020] If the result of the first parameter determination is yes, then the collision coefficient of water droplets on the surface of the conductor is determined to be one.

[0021] If the result of the first parameter determination is negative, then the collision coefficient value of water droplets on the surface of the conductor is determined based on the first parameter and the natural constant.

[0022] The water droplet freezing coefficient value on the surface of the conductor is determined based on the collision coefficient value of the water droplets on the conductor surface, the diameter data of the conductor, and the liquid water content in the target air.

[0023] Optionally, determining the water droplet freezing coefficient value on the conductor surface based on the water droplet collision coefficient value on the conductor surface, the conductor diameter data, and the liquid water content in the target air includes:

[0024] Obtain the ambient temperature data at the time of shooting corresponding to the supercooled water droplet image;

[0025] The second parameter is determined based on the water droplet collision coefficient value on the surface of the conductor, the ambient temperature data, the conductor diameter data, and the liquid water content in the target air.

[0026] Determine whether the value of the second parameter is greater than a second preset threshold to determine the determination result of the second parameter;

[0027] If the result of the second parameter is yes, then the freezing coefficient of water droplets on the surface of the conductor is determined based on the second parameter and the natural constant.

[0028] If the result of the second parameter is negative, then the freezing coefficient of water droplets on the surface of the conductor is determined to be one.

[0029] Optionally, the step of predicting the icing intensity of the conductor based on the water droplet collision coefficient value and the water droplet freezing coefficient value on the conductor surface, and the environmental information, to determine the predicted icing intensity of the conductor, includes:

[0030] Get the preset coefficient value;

[0031] Based on the preset coefficient value, the water droplet collision coefficient value on the conductor surface, the water droplet freezing coefficient value on the conductor surface, the wind speed data, and the conductor diameter data, calculations are performed to determine the current predicted result of conductor icing intensity.

[0032] Secondly, this application provides a conductor icing intensity prediction device for transmission lines, applied to power grids, comprising:

[0033] A water droplet size distribution spectrum determination module is used to acquire the water droplet size distribution spectrum in the icing airflow around the conductor of a transmission line under the condition of conductor icing, based on a preset laser imaging device; the preset laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor.

[0034] The distribution spectrum processing module is used to determine the liquid water content and median volume diameter of water droplets in the target air in the current icing airflow based on the water droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air;

[0035] The coefficient value determination module is used to determine the collision coefficient value of water droplets on the surface of the conductor and the freezing coefficient value of water droplets on the surface of the conductor based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air and environmental information.

[0036] The prediction result determination module is used to predict the icing intensity of the conductor based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, so as to determine the prediction result of the icing intensity of the conductor.

[0037] Thirdly, this application provides an electronic device, comprising:

[0038] Memory, used to store computer programs;

[0039] A processor is used to execute the computer program to implement the steps of the aforementioned method for predicting the icing intensity of transmission line conductors.

[0040] Fourthly, this application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the steps of the aforementioned method for predicting the icing intensity of conductors in transmission lines.

[0041] As can be seen, in this application, based on a preset laser imaging device, the droplet size distribution spectrum of water droplets in the icing airflow around the conductor of a transmission line under icing conditions is obtained; the preset laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor; based on the droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device, the liquid water content in the target air and the median volume diameter of the water droplets in the current icing airflow are determined; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air; based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, the water droplet collision coefficient value and the water droplet freezing coefficient value on the conductor surface are determined; based on the water droplet collision coefficient value and the water droplet freezing coefficient value on the conductor surface, and the environmental information, the conductor icing intensity is predicted to determine the conductor icing intensity prediction result. In other words, this application first uses a pre-set laser imaging device to acquire the water droplet size distribution spectrum in the icing airflow around the transmission line conductor under icing conditions. Then, using the water droplet size distribution spectrum and the laser imaging field of view volume information, the liquid water content and median volume diameter of the water droplets in the target air in the current icing airflow are determined. Next, using the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, the water droplet collision coefficient and freezing coefficient values ​​on the conductor surface are determined. Finally, based on the water droplet collision coefficient and freezing coefficient values ​​on the conductor surface, and the environmental information, the predicted icing intensity of the conductor is determined. This approach effectively avoids errors while ensuring the reliability of the predicted icing intensity of the transmission line conductor, and improves the real-time performance, efficiency, practicality, and accuracy of the predicted icing intensity, thereby enhancing the user experience. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 A flowchart of a method for predicting conductor icing intensity of a transmission line provided in this application;

[0044] Figure 2 A flowchart illustrating a specific method for predicting conductor icing intensity in a transmission line, as provided in this application;

[0045] Figure 3 This application provides a schematic diagram of the structure of a pre-set laser imaging device;

[0046] Figure 4 This application provides a schematic diagram illustrating the working principle of a preset laser imaging device.

[0047] Figure 5 This application provides a schematic diagram of a water droplet size distribution spectrum.

[0048] Figure 6 A comparative schematic diagram of the icing intensity of a conductor under different median water droplet volume diameters and wind speeds, provided for this application;

[0049] Figure 7 A schematic diagram of a device for predicting the icing intensity of a power transmission line conductor, provided in this application;

[0050] Figure 8 This application provides a structural diagram of an electronic device. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] The problem of power transmission line icing has existed for a long time. With global climate change and the development of ultra-high voltage and long-distance power transmission technology, the problem of line icing disasters in winter has become increasingly prominent. To solve this problem, existing solutions include simulating the trajectory of water droplets on the outside of the conductor and analyzing the influence of different environmental parameters on the icing rate of the conductor, or using the finite element method to establish a mechanical simulation model of the transmission line and analyzing the effectiveness of the equivalent icing thickness calculation model for straight tower transmission lines under special terrain conditions by analyzing the degree of deformation after icing. However, in these existing solutions, the target air liquid water content and the median volume diameter of water droplets are not easy to obtain. Either the influence of these two parameters on conductor icing is not considered, or only indirect measurement can be performed using a method similar to rotating multi-conductor, rather than direct measurement. The resulting measurement errors and timeliness have limited and adversely affected the accuracy and speed of conductor icing prediction.

[0053] Therefore, this application provides a method for predicting the icing intensity of transmission line conductors, which can effectively avoid errors while ensuring the reliability of the prediction, and improve the real-time performance, efficiency, practicality and accuracy of the prediction, thereby enhancing the user experience.

[0054] See Figure 1As shown, this invention discloses a method for predicting the icing intensity of transmission line conductors, applicable to power grids, including:

[0055] Step S11: Based on a preset laser imaging device, obtain the water droplet size distribution spectrum in the icing airflow around the conductor of the transmission line under the condition of conductor icing environment; the preset laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor.

[0056] Combination Figure 2 As shown, in this embodiment, firstly, based on a preset laser imaging device, the droplet size distribution spectrum of water droplets in the icing airflow around the transmission line conductor under icing conditions is acquired. Specifically: based on the preset laser imaging device, an image of supercooled water droplets in the icing airflow between the first and second probes is captured under icing conditions; image recognition is performed based on the supercooled water droplet image to determine the droplet size distribution spectrum. Regarding image recognition, firstly, based on the supercooled water droplet image, the number of supercooled water droplets and the supercooled water droplet size (also known as supercooled water droplet diameter) per unit volume of air are identified to obtain the image recognition result; then, based on the image recognition result, the droplet size distribution spectrum is determined; wherein, the droplet size distribution spectrum includes the volume of supercooled water droplets within several particle size ranges per unit volume of air.

[0057] It is important to understand that the preset laser imaging equipment can be combined with Figure 3 and Figure 4 As shown, this is a heatable laser imaging device. The device includes a mounting base, laser emission control and signal control circuitry, and two probes 10cm apart. One probe has a laser point source, and the other has an image sensor. For airflow passing between the two probes, one probe uses its laser emitter to emit a reference wave at the laser point source. This wave is then scattered by supercooled water droplets in the airflow, and these are captured by the image sensor on the other probe. In other words, this embodiment specifically uses this device to obtain the water droplet size distribution in an icing airflow under wire icing conditions, and plots a water droplet size distribution spectrum based on this distribution. The laser imaging device uses two probes 10cm apart to capture images of water droplets in the airflow. The two probes are heated by a heating module to prevent icing. One probe has a built-in laser emitter, and the other has a built-in high-resolution image sensor. The captured water droplet images are used to identify the number of water droplets per unit volume of air. The number and size of water droplets are determined, and a droplet size distribution spectrum is plotted based on the image recognition results. The distribution spectrum can be shown as follows: Figure 5 As shown (including the volume of water droplets per unit air volume within each particle size range).

[0058] Step S12: Based on the droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device, determine the liquid water content and median volume diameter of the water droplets in the target air in the current icing airflow; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air.

[0059] In this embodiment, a meteorological sensor is also used to simultaneously measure the wind speed V and ambient temperature T under icing conditions on the conductor. After determining the water droplet size distribution spectrum, the product of the laser imaging field of view volume and the corresponding wind speed is used as a reference to calculate the liquid water content in the air. and the median volume diameter of the water droplet Specifically: The following steps are performed: acquiring the laser imaging field-of-view volume information and imaging frequency of the preset laser imaging device; acquiring wind speed data at the imaging time corresponding to the supercooled water droplet image; determining the average liquid water content in the air within the preset time period based on the water droplet size distribution spectrum, the laser imaging field-of-view volume information, the imaging frequency, the wind speed data, and the preset time period; determining the average liquid water content in the air as the target liquid water content in the air; analyzing the cumulative volume fraction of the supercooled water droplet size from smallest to largest in the spectrum based on the water droplet size distribution spectrum to determine the analysis result; based on the analysis result, acquiring the target supercooled water droplet size when the cumulative volume fraction reaches half of the total cumulative volume corresponding to the water droplet size distribution spectrum; and determining the target supercooled water droplet size as the median volume diameter of the water droplet.

[0060] It is important to understand that we assume the air volume corresponding to the field of view in this shooting is... The shooting frequency is 1 second / shot, the first... The number of water droplets captured in this shot was: (Water droplet size ranges from 5μm to 200μm) The diameters of the water droplets are respectively ( =1,2,3… ), then within 1 minute The average value is:

[0061] .

[0062] In the formula, For the density of water droplets, , Pi is the mathematical constant of a circle.

[0063] Combination Figure 5 As shown, the median volume diameter of the water droplet It is mainly based on the cumulative volume fraction of water droplet size from smallest to largest in the water droplet size spectrum. (%),when When the concentration is 50%, the corresponding droplet size is... .

[0064] Step S13: Based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, determine the water droplet collision coefficient value and the water droplet freezing coefficient value on the conductor surface.

[0065] In this embodiment, it is necessary to determine the water droplet collision coefficient and water droplet freezing coefficient values ​​on the conductor surface based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information. Specifically: the conductor diameter data is obtained; based on the conductor diameter data, the wind speed data, the median volume diameter of the water droplets, and the corresponding supercooled water droplet density and air kinematic viscosity, a first parameter is determined; it is determined whether the value of the first parameter is greater than a first preset threshold to determine the first parameter determination result; if the first parameter determination result is yes, the water droplet collision coefficient value on the conductor surface is determined to be one; if the first parameter determination result is no, the water droplet collision coefficient value on the conductor surface is determined based on the first parameter and the natural constant; the water droplet freezing coefficient value on the conductor surface is determined based on the water droplet collision coefficient value on the conductor surface, the conductor diameter data, and the liquid water content in the target air. The step of determining the water droplet freezing coefficient value on the conductor surface based on the water droplet collision coefficient value on the conductor surface, the conductor diameter data, and the liquid water content in the target air includes: acquiring ambient temperature data at the shooting time corresponding to the supercooled water droplet image; determining a second parameter based on the water droplet collision coefficient value on the conductor surface, the ambient temperature data, the conductor diameter data, and the liquid water content in the target air; determining whether the value of the second parameter is greater than a second preset threshold to determine the second parameter determination result; if the second parameter determination result is yes, then determining the water droplet freezing coefficient value on the conductor surface based on the second parameter and the natural constant; if the second parameter determination result is no, then determining the water droplet freezing coefficient value on the conductor surface to be one.

[0066] It should be understood that in this embodiment, the parameters are first determined based on the conductor diameter D (m), wind speed V (m / s), and median volume diameter of the water droplet. (m) and other parameters are used to calculate the collision coefficient of water droplets on the conductor surface. Assuming parameters The expression for the above parameters:

[0067] .

[0068] In the formula, The kinematic viscosity of air, in units ; It is the density of water droplets, in units of... The collision coefficient of water droplets on the surface of the conductor. It can be calculated using the formula shown below:

[0069] .

[0070] Then, based on the water droplet collision coefficient , wire diameter D, liquid water content in the air ( The freezing coefficient of water droplets on the conductor surface is calculated based on parameters such as ambient temperature T (Kelvin, K). Assuming parameters The expression for the above parameters:

[0071] .

[0072] The freezing coefficient of water droplets on the surface of the conductor The following can be calculated using the formula proposed in this invention:

[0073] .

[0074] Step S14: Based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, predict the icing intensity of the conductor to determine the prediction result of the icing intensity of the conductor.

[0075] In this embodiment, combined with Figure 2 As shown, the obtained water droplet collision coefficient value and water droplet freezing coefficient value on the conductor surface will be used, combined with environmental information, to predict the icing intensity of the conductor. Specifically: a preset coefficient value is obtained; based on the preset coefficient value, the water droplet collision coefficient value on the conductor surface, the water droplet freezing coefficient value on the conductor surface, the wind speed data, and the conductor diameter data, calculations are performed to determine the current predicted result of the conductor icing intensity.

[0076] It should be understood that in this embodiment, the calculated values ​​of the water droplet collision coefficient and freezing coefficient obtained from the aforementioned steps are combined with the wind speed V and the liquid water content in the air. Calculate the icing intensity of the conductor kg / (m·h):

[0077] .

[0078] In addition, combined Figure 6 As shown, the proposed solutions in this embodiment (i.e.) are used respectively. Figure 6 The results of this application and the finite element method for calculating the icing strength of conductors under different median droplet volume diameters and wind speeds are compared as follows: Figure 6 As shown, the calculation method proposed in this embodiment can be seen. The calculated values ​​are close to those of the finite element method (which establishes a mechanical simulation model of the transmission line and analyzes the equivalent ice thickness of a straight tower transmission line under uniform icing by measuring the degree of deformation after the transmission line is covered with ice, and calculates the effectiveness of the model under special terrain). The average error is less than 15%, which can meet the needs of predicting the icing intensity of the conductor.

[0079] Therefore, this application first uses a pre-set laser imaging device to acquire the water droplet size distribution spectrum in the icing airflow around the transmission line conductor under icing conditions. Then, using the water droplet size distribution spectrum and the laser imaging field of view volume information, the liquid water content and median volume diameter of the water droplets in the target air in the current icing airflow are determined. Next, using the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, the water droplet collision coefficient and freezing coefficient values ​​on the conductor surface are determined. Finally, based on the water droplet collision coefficient and freezing coefficient values ​​on the conductor surface, and the environmental information, the predicted icing intensity of the conductor is determined. This approach effectively avoids errors while ensuring the reliability of the predicted icing intensity of the transmission line conductor, and improves the real-time performance, efficiency, practicality, and accuracy of the predicted icing intensity, thereby enhancing the user experience.

[0080] See Figure 7 As shown in the illustration, this application also discloses a conductor icing intensity prediction device for transmission lines, applied to a power grid, comprising:

[0081] The water droplet size distribution spectrum determination module 11 is used to acquire the water droplet size distribution spectrum in the icing airflow around the conductor of the transmission line under the condition of conductor icing environment, based on a preset laser imaging device; the preset laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor.

[0082] The distribution spectrum processing module 12 is used to determine the liquid water content and median volume diameter of water droplets in the target air in the current icing airflow based on the water droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air;

[0083] The coefficient value determination module 13 is used to determine the collision coefficient value of water droplets on the surface of the conductor and the freezing coefficient value of water droplets on the surface of the conductor based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air and environmental information.

[0084] The prediction result determination module 14 is used to predict the icing intensity of the conductor based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, so as to determine the prediction result of the icing intensity of the conductor.

[0085] In some specific embodiments, the water droplet size distribution spectrum determination module 11 can be used to: capture images of supercooled water droplets in the icing airflow between the first probe and the second probe under icing conditions on a wire using a preset laser imaging device; and perform image recognition based on the supercooled water droplet images to determine the water droplet size distribution spectrum.

[0086] In some specific embodiments, the distribution spectrum processing module 12 can be used to: identify the number and size of supercooled water droplets in a unit volume of air based on the supercooled water droplet image to obtain an image recognition result; and determine the water droplet size distribution spectrum based on the image recognition result; wherein the water droplet size distribution spectrum includes the volume of supercooled water droplets in several particle size ranges in a unit volume of air.

[0087] In some specific embodiments, the distribution spectrum processing module 12 can be used to: acquire the laser imaging field-of-view volume information and imaging frequency of the preset laser imaging device; acquire wind speed data at the shooting time corresponding to the supercooled water droplet image; determine the average liquid water content in the air within the preset time period based on the water droplet size distribution spectrum, the laser imaging field-of-view volume information, the imaging frequency, the wind speed data, and the preset time period; determine the average liquid water content in the air as the target liquid water content in the air; analyze the cumulative volume fraction of the supercooled water droplet size from small to large in the spectrum based on the water droplet size distribution spectrum to determine the analysis result; based on the analysis result, acquire the target supercooled water droplet size when the cumulative volume fraction reaches half of the total cumulative volume corresponding to the water droplet size distribution spectrum; and determine the target supercooled water droplet size as the median volume diameter of the water droplet.

[0088] In some specific embodiments, the coefficient value determination module 13 can be used to: acquire the conductor diameter data of the conductor; determine a first parameter based on the conductor diameter data, the wind speed data, the median volume diameter of the water droplets, and the corresponding supercooled water droplet density and air kinematic viscosity; determine whether the value of the first parameter is greater than a first preset threshold to determine the first parameter determination result; if the first parameter determination result is yes, determine the water droplet collision coefficient value on the conductor surface as one; if the first parameter determination result is no, determine the water droplet collision coefficient value on the conductor surface based on the first parameter and the natural constant; and determine the water droplet freezing coefficient value on the conductor surface based on the water droplet collision coefficient value on the conductor surface, the conductor diameter data, and the liquid water content in the target air.

[0089] In some specific embodiments, the coefficient value determination module 13 can be used to: acquire ambient temperature data at the shooting time corresponding to the supercooled water droplet image; determine a second parameter based on the water droplet collision coefficient value on the conductor surface, the ambient temperature data, the conductor diameter data, and the liquid water content in the target air; determine whether the value of the second parameter is greater than a second preset threshold to determine the second parameter determination result; if the second parameter determination result is yes, then determine the water droplet freezing coefficient value on the conductor surface based on the second parameter and the natural constant; if the second parameter determination result is no, then determine the water droplet freezing coefficient value on the conductor surface to be one.

[0090] In some specific embodiments, the prediction result determination module 14 can be used to: obtain a preset coefficient value; and perform calculations based on the preset coefficient value, the water droplet collision coefficient value on the conductor surface, the water droplet freezing coefficient value on the conductor surface, the wind speed data, and the conductor diameter data to determine the current conductor icing intensity prediction result.

[0091] Furthermore, embodiments of this application also disclose an electronic device, Figure 8 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0092] Figure 8 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the method for predicting the conductor icing intensity of transmission lines disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be a computer.

[0093] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0094] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0095] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the method for predicting the conductor icing intensity of a transmission line executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0096] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned method for predicting the conductor icing intensity of transmission lines. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0097] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0098] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0099] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0100] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0101] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for predicting the icing intensity of transmission line conductors, characterized in that, Applied to power grids, including: Based on a pre-set laser imaging device, the particle size distribution spectrum of water droplets in the icing airflow around the conductor of a power transmission line is obtained under the condition of conductor icing; the pre-set laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor. Based on the droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device, the liquid water content and median volume diameter of the water droplets in the target air in the current icing airflow are determined; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air; Based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information, the collision coefficient value of water droplets on the conductor surface and the freezing coefficient value of water droplets on the conductor surface are determined. Based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, the icing intensity of the conductor is predicted to determine the prediction result of the icing intensity of the conductor.

2. The method for predicting conductor icing intensity of transmission lines according to claim 1, characterized in that, The method of acquiring the water droplet size distribution spectrum in the icing airflow around the transmission line conductor under icing conditions using a preset laser imaging device includes: Based on a preset laser imaging device, images of supercooled water droplets in the icing airflow between the first and second probes are captured under icing conditions on the conductor. Image recognition is performed based on the supercooled water droplet images to determine the droplet size distribution spectrum.

3. The method for predicting conductor icing intensity of transmission lines according to claim 2, characterized in that, The step of performing image recognition based on the supercooled water droplet image to determine the water droplet size distribution spectrum includes: Based on the supercooled water droplet image, the number and size of supercooled water droplets in a unit volume of air are identified to obtain the image recognition result; Based on the image recognition results, the droplet size distribution spectrum is determined; wherein, the droplet size distribution spectrum includes the volume of supercooled water droplets within several particle size ranges per unit air volume.

4. The method for predicting conductor icing intensity of transmission lines according to claim 3, characterized in that, The determination of the liquid water content and median volume diameter of water droplets in the target air within the current icing airflow, based on the water droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device, includes: Obtain the laser imaging field of view volume information and imaging frequency of the preset laser imaging device; Obtain wind speed data at the time of shooting corresponding to the supercooled water droplet image; Based on the water droplet size distribution spectrum, the laser imaging field of view volume information, the imaging frequency, the wind speed data, and the preset time period, the average liquid water content in the air within the preset time period is determined; The average liquid water content in the air is determined as the target liquid water content in the air; Based on the droplet size distribution spectrum, the cumulative volume fraction of the supercooled water droplet size from smallest to largest in the spectrum is analyzed to determine the analysis results; Based on the analysis results, the target supercooled water droplet size is obtained when the cumulative volume fraction reaches half of the total cumulative volume corresponding to the water droplet size distribution spectrum. The target supercooled water droplet diameter is determined as the median volume diameter of the water droplet.

5. The method for predicting conductor icing intensity of transmission lines according to claim 4, characterized in that, The determination of the water droplet collision coefficient and water droplet freezing coefficient values ​​on the conductor surface based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air, and environmental information includes: Obtain the wire diameter data of the wire; Based on the conductor diameter data, the wind speed data, the median volume diameter of the water droplets, and the corresponding supercooled water droplet density and air kinematic viscosity, the first parameter is determined. Determine whether the value of the first parameter is greater than a first preset threshold to determine the determination result of the first parameter; If the result of the first parameter determination is yes, then the collision coefficient of water droplets on the surface of the conductor is determined to be one. If the result of the first parameter determination is negative, then the collision coefficient value of water droplets on the surface of the conductor is determined based on the first parameter and the natural constant. The water droplet freezing coefficient value on the surface of the conductor is determined based on the collision coefficient value of the water droplets on the conductor surface, the diameter data of the conductor, and the liquid water content in the target air.

6. The method for predicting conductor icing intensity of transmission lines according to claim 5, characterized in that, The determination of the water droplet freezing coefficient value on the conductor surface based on the water droplet collision coefficient value on the conductor surface, the conductor diameter data, and the liquid water content in the target air includes: Obtain the ambient temperature data at the time of shooting corresponding to the supercooled water droplet image; The second parameter is determined based on the water droplet collision coefficient value on the surface of the conductor, the ambient temperature data, the conductor diameter data, and the liquid water content in the target air. Determine whether the value of the second parameter is greater than a second preset threshold to determine the determination result of the second parameter; If the result of the second parameter is yes, then the freezing coefficient of water droplets on the surface of the conductor is determined based on the second parameter and the natural constant. If the result of the second parameter is negative, then the freezing coefficient of water droplets on the surface of the conductor is determined to be one.

7. The method for predicting conductor icing intensity of transmission lines according to any one of claims 4 to 6, characterized in that, The process of predicting the icing intensity of the conductor based on the water droplet collision coefficient value and the water droplet freezing coefficient value on the conductor surface, and the environmental information, to determine the predicted icing intensity of the conductor, includes: Get the preset coefficient value; Based on the preset coefficient value, the water droplet collision coefficient value on the conductor surface, the water droplet freezing coefficient value on the conductor surface, the wind speed data, and the conductor diameter data, calculations are performed to determine the current predicted result of conductor icing intensity.

8. A device for predicting the icing intensity of transmission line conductors, characterized in that, Applied to power grids, including: A water droplet size distribution spectrum determination module is used to acquire the water droplet size distribution spectrum in the icing airflow around the conductor of a transmission line under the condition of conductor icing, based on a preset laser imaging device; the preset laser imaging device includes a heating component, a first probe with a built-in laser light source emitter, and a second probe with a built-in image sensor. The distribution spectrum processing module is used to determine the liquid water content and median volume diameter of water droplets in the target air in the current icing airflow based on the water droplet size distribution spectrum and the laser imaging field of view volume information of the preset laser imaging device; the liquid water content in the target air is the total mass of liquid water droplets per unit volume of air; The coefficient value determination module is used to determine the collision coefficient value of water droplets on the surface of the conductor and the freezing coefficient value of water droplets on the surface of the conductor based on the conductor diameter data, the median volume diameter of the water droplets, the liquid water content in the target air and environmental information. The prediction result determination module is used to predict the icing intensity of the conductor based on the collision coefficient value of water droplets on the conductor surface, the freezing coefficient value of water droplets on the conductor surface, and the environmental information, so as to determine the prediction result of the icing intensity of the conductor.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the method for predicting conductor icing intensity of transmission lines as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store a computer program, which, when executed by a processor, implements the method for predicting conductor icing intensity of transmission lines as described in any one of claims 1 to 7.

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