Intelligent interactive simulation and cooperative control method for power transmission line electrified ground wire ice melting system based on multi-source data fusion

Abstract

The invention discloses an intelligent interactive simulation and cooperative control method for a power transmission line electrified ground wire ice melting system based on multi-source data fusion, and relates to the technical field of electrified ground wire ice melting. Therefore, the magnet array is started in advance, the ice melting effect on the electrified ground wire is guaranteed, meanwhile, icing data and environment data of the current electrified ground wire are input into the ground wire ice melting model, the ice melting stage of the current electrified ground wire is obtained, and therefore the optimal ice melting parameters of the current electrified ground wire are obtained. In the first ice melting stage, a large temperature difference occurs inside and outside an ice layer mainly through joule heat generated by current and point voltage, then cracks occur in the ice layer, the subsequent ice melting efficiency is improved, the current and voltage are adjusted in the second ice melting stage, ice melting is conducted on the ice layer with the cracks, and the ice melting efficiency is effectively improved while energy consumption is reduced.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of live ground wire ice melting, and particularly relates to a live ground wire ice melting system intelligent interaction simulation and collaborative control method based on multi-source data fusion. BACKGROUND

[0002] Due to the installation position and environmental factors of the power transmission line, the ice layer thickness on the surface of the live ground wire in each direction may be unevenly distributed, and at this time, using a unified ice melting current and ice melting voltage may result in large energy consumption and unsatisfactory ice melting effect; when the ice layer on the live ground wire of the power transmission line is thick, the traditional ice melting method has high energy consumption and low ice melting efficiency, and therefore the application provides the live ground wire ice melting system intelligent interaction simulation and collaborative control method based on multi-source data fusion.

[0003] The prior art such as the invention application patent with the announcement number CN118336629A discloses a wire non-stop ground wire ice melting system, which comprises an ice melting loop and a direct-current ice melting power supply device; the ice melting loop comprises ground wires between any two of a plurality of base pole towers, the ground wires, a down conductor, a single-pole double-throw grounding knife switch and a direct-current ice melting device form the ice melting loop, a movable end of the single-pole double-throw grounding knife switch is connected with the ground wire through the down conductor, one immovable end of the single-pole double-throw grounding knife switch is connected with the direct-current ice melting device through an ice melting cable, and the other immovable end of the single-pole double-throw grounding knife switch is connected with the base pole tower; the direct-current ice melting power supply device is used for supplying power to the direct-current ice melting device to heat the ice melting loop and realize wire non-stop ground wire ice melting, thereby simplifying the ice melting application process and time and avoiding huge power loss caused by power-off ice melting.

[0004] The prior art such as the invention application patent with the announcement number CN113541035A discloses a precise ice melting system for ground wires and optical cables, a power transmission line is arranged on the same tower in a double-circuit mode, a single-circuit power-off ice melting mode and a double-circuit power-off ice melting mode are adopted to construct an ice melting loop, and an insulating structure is arranged between an OPGW optical cable and a power transmission line tower; the single-circuit power-off ice melting mode adopts a single-side optical cable ice melting connection mode, a fixed ice melting device, a phase conductor of the power transmission line, the OPGW optical cable and a phase conductor of the power transmission line are connected to form a direct-current ice melting current loop; the double-circuit power-off ice melting mode adopts a double-side optical cable simultaneous ice melting connection mode, the fixed ice melting device, a phase conductor on one side of the power transmission line, the OPGW optical cable on one side, the OPGW optical cable on the other side, a phase conductor on the other side of the power transmission line are connected to form a direct-current ice melting current loop, direct-current ice melting is realized, power grid loss caused by OPGW optical cable icing is avoided, the ability of the line to cope with extreme weather such as rain, snow and freezing is effectively improved, and the line operation reliability is improved.

[0005] With respect to the above-mentioned scheme, the inventors of the present application have found at least the following technical problems in the above-mentioned technology: 1. The current technology mainly realizes ice melting of ground wires without power outage by setting up an ice melting circuit, but does not take into account the ice melting efficiency of live ground wires. In most cases, the ice layer on the surface of the live ground wire is unevenly distributed in all directions on the surface of the live ground wire. At this time, using a uniform current and voltage for ice melting may cause the side of the live ground wire surface that is not covered with ice to generate the same amount of heat as the side that is covered with ice, which causes power consumption while failing to achieve the ideal ice melting effect.

[0006] 2. Current technology achieves direct current ice melting by constructing a direct current ice melting circuit. However, current technology does not take into account the low efficiency of traditional ice melting methods in extreme weather conditions when the ice layer covering the live ground wire is thick or the line is too long. Current technology's neglect of this aspect may lead to problems such as uneven ice melting. Summary of the Invention

[0007] The purpose of this application is to provide an intelligent interactive simulation and collaborative control method for a live ground wire ice melting system of a transmission line based on multi-source data fusion, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present application adopts the following technical solutions: The present application provides an intelligent interactive simulation and collaborative control method for the live ground wire de-icing system of a transmission line based on multi-source data fusion, including: Step 1, installing a magnet array on the live ground wire of the target transmission line, and at the same time obtaining historical environmental data, equipment status data, ground wire icing data and ground wire de-icing data of the live ground wire of the target transmission line from the data center, and then predicting the development trend of the ground wire icing, and judging whether to turn on the magnet array based on the prediction results.

[0009] Step 2: Monitor the ice coverage data of the ground wire of the target transmission line, and then determine the ice melting stage of the target transmission line. Establish a ground wire ice melting model based on the historical ground wire ice coverage data and ground wire ice melting data. Then, output the optimal ice melting parameters for the ground wire of the target transmission line corresponding to the ice melting stage based on the ground wire ice melting model. At the same time, adjust the working state of each ice melting electrode according to the ice coverage length of the ground wire of the transmission line.

[0010] Step 3: Monitor the ground wire ice melting process through the human-computer interaction interface and provide feedback on the ground wire ice melting effect.

[0011] The beneficial effects of the present application are: 1. The present application provides an intelligent interactive simulation and collaborative control method for a transmission line live ground wire de-icing system based on multi-source data fusion. By analyzing various types of data of historical target transmission lines, the thickness of the current ground wire ice cover is predicted, thereby turning on the magnet array in advance to ensure the de-icing effect on the live ground wire. At the same time, the de-icing data and environmental data of the current live ground wire are input into the ground wire de-icing model to obtain the de-icing stage of the current live ground wire, thereby obtaining the optimal de-icing parameters of the current live ground wire. In the first de-icing stage, the Joule heat generated mainly by current and point pressure causes a large temperature difference between the inside and outside of the ice layer, thereby causing cracks to appear inside the ice layer, thereby improving the subsequent de-icing efficiency. In the second de-icing stage, the current and voltage are adjusted to melt the cracked ice layer, thereby effectively improving the de-icing efficiency while reducing energy consumption.

[0012] 2. This application installs a magnetic array to change the direction of the magnetic field, thereby changing the distribution uniformity of the ice-melting current in the ground wire. When melting the charged ground wire of the target transmission line, the thickness of the ice layer covering the ground wire surface in various directions is first predicted based on historical data, and then it is determined whether the magnetic array needs to be turned on. After the magnetic array is turned on, the magnetic array works in conjunction with the ice-melting current and ice-melting voltage, which can not only change the direction of the current and magnetic field, but the magnetic field generated by the magnetic array can also enhance the ice-melting current in the ground wire, thereby reducing the energy consumption and load of the equipment while improving the ice-melting efficiency.

[0013] 3. This application analyzes the ice coverage data and environmental data of the live ground wire of the transmission line. When the ice layer is thick, the application first passes a suitable current and voltage through the live ground wire so that the Joule heat energy generated by the current and voltage reaches the inside of the ice layer, causing the internal temperature of the ice layer to increase. When the internal temperature of the ice layer is high and the external temperature of the ice layer surface is low, the heat difference generated will cause cracks to appear inside the ice layer. When cracks appear in the ice layer, the current and voltage passed are changed to increase the Joule heat generated by the conductor, thereby greatly accelerating the melting rate of the ice layer. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0015] Figure 1 The figure is a flowchart of the steps for implementing the application method. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] Reference Figure 1 As shown, the present application provides an intelligent interactive simulation and collaborative control method for a transmission line live ground wire de-icing system based on multi-source data fusion, comprising the following steps: Step 1, installing a magnet array on the live ground wire of the target transmission line, and simultaneously obtaining historical environmental data, equipment status data, ground wire icing data, and ground wire de-icing data of the live ground wire of the target transmission line from a data center, and then predicting the development trend of ground wire icing, and determining whether to turn on the magnet array based on the prediction results.

[0018] It should be noted that when the magnet array is installed on the side of the ground wire covered with ice, when melting ice, the electric charge will move toward the side of the ground wire covered with ice under the action of the Lorentz force, thereby concentrating the generated heat on the side of the ground wire covered with ice, which can effectively improve the ice melting efficiency.

[0019] In a specific example, the environmental data includes hourly change data of temperature, humidity, wind speed, wind direction, air pressure and precipitation; the equipment status data includes the ground wire diameter and ground wire tension; the ground wire icing data includes the ground wire icing length and the ice thickness in all directions of the ground wire surface; the ground wire ice melting data includes the ice melting current, ice melting voltage and ice melting duration.

[0020] In a specific example, the development trend of ground wire icing is predicted, and the specific process is as follows: the environmental data, equipment data, ground wire icing data and ground wire ice melting data of the energized ground wire of the historical target transmission line are normalized, and then aligned based on the timestamp. The LSTM model is selected as the basic architecture of the ground wire icing growth model, and the aligned data is divided into training set, verification level and test level according to a preset ratio. The data is input into the LSTM model for training, verification and optimization to obtain the ground wire icing growth model of the target transmission line.

[0021] The environmental data of the live ground wire of the current target transmission line is obtained from the meteorological center. The environmental data and equipment status data are input into the ground wire icing growth model. The ground wire icing growth model then outputs the ice thickness change curves and ice length change curves in all directions of the ground wire surface for the next 12 hours, 24 hours, and 48 hours, respectively.

[0022] In a specific example, the determination of whether to turn on the magnet array based on the prediction results is as follows: the ice thickness in each direction of the ground surface at each time point is obtained based on the predicted ice thickness change curve in each direction of the ground surface, and then the ice thickness difference between the ground surface in each direction at each time point is obtained, and the ice thickness difference between the ground surface in each direction at each time point is compared with a set ice thickness difference threshold value. If the ice thickness difference in each direction of the ground surface at a certain time point is less than the set ice thickness difference threshold value, the magnet array is not turned on. If the ice thickness difference between the ground surface in each direction at a certain time point is greater than or equal to the ice thickness difference threshold value, the magnet array is turned on at the time point before this time point.

[0023] It should be noted that by predicting the thickness of ice covering the ground wire and then turning on the magnet array in advance, the ground wire can be de-iced in time to prevent damage caused by ice covering and untimely de-icing.

[0024] It should be noted that the ice thickness threshold and ice growth rate threshold are set by relevant staff and are not specifically restricted here. For example, without considering energy consumption, the ice thickness threshold and ice growth rate threshold can both be set to 0.1 mm.

[0025] Step 2: Monitor the ice coverage data of the ground wire of the target transmission line, and then determine the ice melting stage of the target transmission line. Establish a ground wire ice melting model based on the historical ground wire ice coverage data and ground wire ice melting data. Then, output the optimal ice melting parameters for the ground wire of the target transmission line corresponding to the ice melting stage based on the ground wire ice melting model. At the same time, adjust the working state of each ice melting electrode according to the ice coverage length of the ground wire of the transmission line.

[0026] In a specific example, the ice coverage data of the ground wire of the target transmission line is simultaneously monitored to determine the ice melting stage of the target transmission line. The specific process is as follows: an ice coverage image of the live ground wire of the target transmission line is obtained through a monitoring device, and then the ice coverage thickness of the live ground wire is obtained through image processing technology. The ice coverage thickness of the live ground wire is compared with a set ice melting thickness threshold. When the ice coverage thickness of the live ground wire is greater than or equal to the set ice melting thickness threshold, it is determined that the live ground wire is in the first ice melting stage. When the ice coverage thickness of the live ground wire is less than the set ice melting thickness threshold, it is determined that the live ground wire is in the second ice melting stage.

[0027] It should be noted that the image processing technology is an existing technology and will not be described in detail.

[0028] It should be noted that the ice melting thickness threshold is set by relevant staff. For example, the average value of the historical ice thickness of the live ground wire of the target line can be used as the ice melting thickness threshold.

[0029] In a specific example, the ground wire ice melting model is established based on historical ground wire ice coverage data and ground wire ice melting data. The specific process is as follows: S1. First, the dotted ground wire of the target transmission line is simplified into a cylindrical geometric model, and then the basic architecture of the ground wire ice melting model is established based on the cylindrical set model, the current field control equation, the temperature field equation and the phase change heat transfer equation, and the range of the ground wire ice melting data and the environmental data is set.

[0030] It should be noted that the current field control equation, the temperature field equation and the phase change heat transfer equation are existing equations, so they are not described in detail.

[0031] It should be noted that the ranges of the ground wire ice melting data and environmental data are set by relevant staff based on the historical ground wire ice melting data and environmental data of the target transmission line. For example, the current range in the ground wire ice melting data is set to 100-500A, the voltage range is set to 0.1-1.0KV, the ambient temperature range in the environmental data is set to -20-0℃, the ambient humidity is set to 60-100RH, the wind speed is set to 0-10m / s, etc.

[0032] S2. Input the material parameters of the live ground wire of the target transmission line into the basic framework of the ground wire ice melting model, and use the sequential coupling method to solve the current field control equation, temperature field control equation and phase change heat transfer equation respectively to obtain the model parameters.

[0033] S3. Use the orthogonal experimental method and the optimal parameter screening method to screen and optimize the model parameters obtained, and finally verify the model. After successful verification, the ground wire ice melting model of the target transmission line is obtained.

[0034] It should be noted that the orthogonal experimental method and the optimal parameter screening method are both existing technologies and will not be described in detail.

[0035] In a specific example, the working state of each ice-melting electrode is adjusted according to the length of ice coverage on the ground wire of the transmission line. The specific process is as follows: the ground wire ice coverage data and environmental data of the target transmission line obtained by monitoring are input into the ground wire ice melting model of the target transmission line, and the data solved by the model are limited with the minimum energy consumption and maximum crack data as the target, so as to obtain the optimal ice melting parameters of the target transmission line in the first ice melting stage under the current ground wire ice coverage data and environmental data.

[0036] It should be noted that the first ice-melting stage mainly causes more cracks to appear inside the ice layer covering the ground wire under the action of the ice-melting current and ice-melting voltage, thereby improving the subsequent ice-melting efficiency.

[0037] Similarly, the ground wire icing data and icing parameter range of the target transmission line obtained by detection are input into the ground wire de-icing model. The data solved by the model are limited with the goal of minimum energy consumption and fastest de-icing speed, and then the optimal de-icing parameters of the target transmission line in the second de-icing stage under the current ground wire icing data and environmental data are obtained.

[0038] In a specific example, the working state of each ice-melting electrode is adjusted according to the ice-covered length of the ground wire of the transmission line. The specific adjustment process is as follows: based on the ice-covered length of the ground wire of the target transmission line, several groups of sliding electrodes are evenly arranged along the axis of the ground wire, the ice-covered length of the ground wire is identified by the intelligent monitoring unit, and then the segmented ice-melting mode is switched based on the ice-covered length of the ground wire. The ice-covered length of the target transmission line is compared with the total length of the target transmission line to obtain the ratio of the ice-covered length of the target transmission line to the total length of the target transmission line, and then a corresponding number of ice-melting electrodes are turned on according to the ratio of the ice-covered length of the target transmission line to the total length of the target transmission line.

[0039] It should be noted that, for example, if the ratio of the ice-covered length of the ground wire of the target transmission line to the total length of the target transmission line is one-half, and four ice-melting electrodes are arranged on the target transmission line, then two electrodes on the ground wire covered with ice will be turned on.

[0040] Step 3: Monitor the ground wire ice melting process through the human-computer interaction interface and provide feedback on the ground wire ice melting effect.

[0041] In a specific example, the ground wire data ice melting process is monitored, including monitoring the ground wire ice covering data, the ground wire first stage ice melting data and the ground wire second stage ice melting data, and the ground wire ice covering data, the ground wire first stage ice melting data and the ground wire second stage ice melting data are displayed in real time on a visualization terminal, and relevant staff can view them through the visualization terminal.

[0042] In a specific example, the feedback of ice melting effect is specifically carried out as follows: ice melting current, ice melting voltage and ice melting duration of each preset time period within a preset cycle are collected from the visualization terminal, and then the ice melting current, ice melting voltage and ice melting duration of each preset time period are multiplied to obtain the ice melting energy consumption of each preset time period, and the ice melting energy consumption of each preset time period is added to obtain the total ice melting energy consumption of the live ground wire of the target transmission line within the preset cycle, and the total ice melting energy consumption of the live ground wire of the target transmission line within the preset cycle is compared with the average ice melting energy consumption of each historical preset cycle, and the comparison result is fed back to the visualization terminal.

[0043] Meanwhile, the ice thickness of the live ground wire of the target transmission line in a preset period and the corresponding ice melting time are collected from the visualization terminal, the ice melting efficiency of the live ground wire of the target transmission line is obtained by dividing the ice thickness of the live ground wire of the target transmission line by the corresponding ice melting time, the ice melting efficiency of the live ground wire of the target transmission line is obtained in this way, the ice melting efficiency of the live ground wire of the target transmission line in the preset period is compared with the historical ice melting efficiency, and the comparison result is fed back to the visualization terminal.

[0044] It should be noted that the preset period is set by the relevant staff, and is not specifically limited here.

[0045] The power line live ground wire ice melting system intelligent interaction simulation and collaborative control method based on multi-source data fusion provided in the application, by analyzing the various data of the historical target transmission line, the thickness of the current ground wire ice is predicted, so as to start the magnet array in advance, ensure the ice melting effect of the live ground wire, input the current live ground wire ice data and environmental data into the ground wire ice melting model, obtain the current live ground wire ice melting stage, and obtain the best ice melting parameters of the current live ground wire. In the first ice melting stage, the large temperature difference inside and outside the ice layer is generated by the Joule heat generated by the current and point pressure, and then the crack appears in the ice layer, which improves the subsequent ice melting efficiency. In the second ice melting stage, the current and voltage are adjusted to melt the cracked ice layer, which effectively improves the ice melting efficiency while reducing the energy consumption.

[0046] The above content is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the application or exceed the scope defined by the application, which shall belong to the protection scope of the application.

Claims

1. An intelligent interactive simulation and collaborative control method for a live ground wire ice melting system on a transmission line based on multi-source data fusion, characterized in that: include: Step 1: Install a magnet array on the live ground wire of the target transmission line. Simultaneously, obtain historical environmental data, equipment status data, ground wire icing data, and ground wire ice melting data of the live ground wire of the target transmission line from the data center. Then, predict the development trend of ground wire icing and determine whether to activate the magnet array based on the prediction results. Step 2: Monitor the ice coverage data of the ground wire of the target transmission line, and then determine the ice melting stage of the target transmission line. A ground wire ice melting model is established based on the historical ground wire ice coverage data and ground wire ice melting data. Then, based on the ground wire ice melting model, the optimal ice melting parameters for the corresponding ice melting stage of the ground wire of the target transmission line are output. At the same time, the working state of each ice melting electrode is adjusted according to the ice coverage length of the ground wire of the transmission line; Step 3: Monitor the ground wire ice melting process through the human-computer interaction interface and provide feedback on the ground wire ice melting effect.

2. The intelligent interactive simulation and collaborative control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 1 is characterized in that: The environmental data includes hourly change data of temperature, humidity, wind speed, wind direction, air pressure and precipitation; the equipment status data includes the ground wire diameter and ground wire tension; the ground wire icing data includes the ground wire icing length and the ice thickness in all directions on the ground wire surface; the ground wire ice melting data includes the ice melting current, ice melting voltage and ice melting duration.

3. The intelligent interactive simulation and collaborative control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 2 is characterized in that: The specific process of predicting the development trend of ground line icing is as follows: The environmental data, equipment data, ground wire ice coverage data, and ground wire ice melting data of the historical target transmission line are normalized and aligned based on the timestamp. The LSTM model is selected as the basic architecture of the ground wire ice growth model. The aligned data is divided into training, validation, and test levels according to a preset ratio. The data is input into the LSTM model for training, validation, and optimization to obtain the ground wire ice growth model of the target transmission line. The environmental data of the live ground wire of the current target transmission line is obtained from the meteorological center. The environmental data and equipment status data are input into the ground wire icing growth model. The ground wire icing growth model then outputs the ice thickness change curves and ice length change curves in all directions of the ground wire surface for the next 12 hours, 24 hours, and 48 hours, respectively.

4. The intelligent interactive simulation and collaborative control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 3 is characterized in that: The specific process of determining whether to turn on the magnet array according to the prediction result is as follows: The ice thickness in each direction of the ground line surface at each time point is obtained according to the predicted ice thickness change curve in each direction of the ground line surface, and then the ice thickness difference between each direction of the ground line surface at each time point is obtained. The ice thickness difference between each direction of the ground line surface at each time point is compared with a set ice thickness difference threshold value. If the ice thickness difference in each direction of the ground line surface at a certain time point is less than the set ice thickness difference threshold value, the magnet array is not turned on. If the ice thickness difference between each direction of the ground line surface at a certain time point is greater than or equal to the ice thickness difference threshold value, the magnet array is turned on at the time point before this time point.

5. The intelligent interactive simulation and collaborative control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 4 is characterized in that: The method of simultaneously monitoring the ground wire ice coverage data of the target transmission line and then determining the ice melting stage of the target transmission line is as follows: An image of the ice covering the live ground wire of the target transmission line is obtained through monitoring equipment, and then the ice covering thickness of the live ground wire is obtained through image processing technology. The ice covering thickness of the live ground wire is compared with the set ice melting thickness threshold. When the ice covering thickness of the live ground wire is greater than or equal to the set ice melting thickness threshold, it is judged that the live ground wire is in the first ice melting stage. When the ice covering thickness of the live ground wire is less than the set ice melting thickness threshold, it is judged that the live ground wire is in the second ice melting stage.

6. The intelligent interactive simulation and coordinated control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 5 is characterized in that: The ground line ice melting model is established based on the historical ground line ice coverage data and ground line ice melting data. The specific process is as follows: S1. First, simplify the dotted ground wire of the target transmission line into a cylindrical geometric model. Then, based on the cylindrical collective model, the current field control equation, the temperature field equation, and the phase change heat transfer equation, build the basic framework of the ground wire de-icing model, and set the range of the ground wire de-icing data and environmental data. S2. Input the material parameters of the live ground wire of the target transmission line into the basic framework of the ground wire ice melting model, and adopt a sequential coupling method to solve the current field control equation, temperature field control equation and phase change heat transfer equation respectively to obtain the model parameters; S3. Use the orthogonal experimental method and the optimal parameter screening method to screen and optimize the model parameters obtained, and finally verify the model. After successful verification, the ground wire ice melting model of the target transmission line is obtained.

7. The intelligent interactive simulation and coordinated control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 6 is characterized in that: The working state of each ice melting electrode is adjusted according to the ice-covered length of the ground wire of the transmission line. The specific process is as follows: The ground wire icing data and environmental data of the target transmission line obtained by monitoring are input into the ground wire de-icing model of the target transmission line. The data solved by the model is limited with the minimum energy consumption and maximum crack data as the target, thereby obtaining the optimal de-icing parameters of the target transmission line in the first de-icing stage under the current ground wire icing data and environmental data; Similarly, the ground wire icing data and icing parameter range of the target transmission line obtained by detection are input into the ground wire de-icing model. The data solved by the model are limited with the goal of minimum energy consumption and fastest de-icing speed, and then the optimal de-icing parameters of the target transmission line in the second de-icing stage under the current ground wire icing data and environmental data are obtained.

8. The intelligent interactive simulation and coordinated control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 7 is characterized in that: At the same time, the working state of each ice-melting electrode is adjusted according to the ice-covered length of the ground wire of the transmission line. The specific adjustment process is as follows: Based on the ice-covered length of the ground wire of the target transmission line, several groups of sliding electrodes are evenly arranged along the axial direction of the ground wire. The ice-covered length of the ground wire is identified by an intelligent monitoring unit, and then the segmented ice melting mode is switched based on the ice-covered length of the ground wire. The ice-covered length of the target transmission line is compared with the total length of the target transmission line to obtain the ratio of the ice-covered length of the target transmission line to the total length of the target transmission line. Then, the corresponding number of ice melting electrodes are opened according to the ratio of the ice-covered length of the target transmission line to the total length of the target transmission line.

9. The intelligent interactive simulation and coordinated control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 8 is characterized in that: The monitoring of the ground wire data ice melting process includes monitoring the ground wire ice covering data, the ground wire first stage ice melting data and the ground wire second stage ice melting data, and at the same time, the ground wire ice covering data, the ground wire first stage ice melting data and the ground wire second stage ice melting data are displayed in real time on a visualization terminal, and relevant staff can view them through the visualization terminal.

10. The intelligent interactive simulation and coordinated control method for the live ground wire ice melting system of a power transmission line based on multi-source data fusion according to claim 9 is characterized in that: The feedback ice melting effect is specifically processed as follows: Collecting the ice melting current, ice melting voltage, and ice melting duration of each preset time period within a preset cycle from the visualization terminal, then multiplying the ice melting current, ice melting voltage, and ice melting duration of each preset time period to obtain the ice melting energy consumption of each preset time period, adding the ice melting energy consumption of each preset time period to obtain the total ice melting energy consumption of the live ground wire of the target transmission line within the preset cycle, comparing the total ice melting energy consumption of the live ground wire of the target transmission line within the preset cycle with the average ice melting energy consumption of each historical preset cycle, and feeding back the comparison result to the visualization terminal; At the same time, the ice thickness of the live ground wire of the target transmission line within a preset period and the corresponding ice melting time are collected from the visualization terminal, and the ice melting efficiency of the live ground wire of the target transmission line is obtained by dividing the ice thickness of the live ground wire of the target transmission line by the corresponding ice melting time. In this way, the historical ice melting efficiency of the live ground wire of the target transmission line is obtained, and the ice melting efficiency of the live ground wire of the target transmission line within the preset period is compared with the historical ice melting efficiency, and the comparison result is fed back to the visualization terminal.

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