Ground wire micro-power-consumption intelligent deicing method and system

Abstract

The invention discloses a ground wire micro-power consumption intelligent deicing method and system, and relates to the technical field of ground wire intelligent deicing, and the method comprises the following steps: dividing a ground wire into a plurality of regions, and carrying out the real-time monitoring and obtaining the state data of an ice layer covering the ground wire in each region; acquiring ice layer influence data and device energy fluctuation data in the current ice layer state; an electric pulse device energy attenuation model is constructed based on machine learning; acquiring ground wire icing historical data, performing data analysis on the ground wire icing historical data to obtain ground wire icing bonding force, judging whether the energy of the electric pulse deicing device reaches the ground wire icing bonding force by combining the output of the electric pulse device energy attenuation model, and performing adjustment; and obtaining the ice layer thickness of the ground wire after deicing, judging whether a deicing effect is achieved or not, and controlling the device to run and stop according to a judgment result. According to the invention, through reasonable control of the electric pulse deicing energy, the problem of non-uniform energy utilization caused by inconsistent icing thickness on the ground wire is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of ground wire intelligent deicing, and more specifically, to the technical field of a ground wire micro-power consumption intelligent deicing method and system. Background Art

[0002] In cold weather conditions, the ground wire in the power line forms a layer of frost or ice on the surface due to condensation and freezing of moisture in the air. Ground wire icing may affect the safety and stability of the power system, especially in cold areas or during winter when the temperature drops sharply. Ground wire icing is usually de-iced using electric pulses.

[0003] Electric pulse deicing is a method that uses electric pulse technology to remove ice and snow accumulation. It is usually used in aviation, transportation, energy and other fields. It uses short-term, high-intensity current pulses to quickly break or fall off the ice and snow on the surface, thereby achieving the purpose of deicing. Compared with traditional physical or chemical deicing methods, this method has the advantages of being more efficient and more environmentally friendly. The basic principle of electric pulse deicing is to form a strong electric field and current on the surface of an object by applying high-voltage electric pulses. This current will quickly cause thermal expansion, vibration or electric shock effects of the ice layer, causing the ice and snow to fall off the surface of the object.

[0004] The above disclosed technical solutions have at least the following technical problems: During the ground wire electric pulse deicing process, the thickness of ice on the ground wire is different. If the electric pulse energy is too large when the ground wire ice layer is weak, it may cause energy waste and increase power consumption; if the ground wire ice layer is too thick, the electric pulse energy is too small and the ice on the ice wire may not fall off. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a ground wire micro-power consumption intelligent deicing method and system, which solves the problem of uneven energy utilization caused by inconsistent ice thickness on the line by reasonably controlling the electric pulse deicing energy.

[0006] To achieve the above object, the present invention provides the following technical solutions: A method for intelligent deicing of a ground wire with micro-power consumption comprises the following steps: dividing the ground wire into a plurality of areas, monitoring and acquiring in real time data on the state of ice covering the ground wire in each area, wherein the ice state data comprises the thickness of the ice layer and the density of the ice layer; acquiring ice layer influence data and device energy fluctuation data on an electric pulse deicing device under the current ice layer state; training the influence degree on the energy attenuation of the electric pulse device based on machine learning according to the ice layer influence data and the device energy fluctuation data, and constructing an energy attenuation model of the electric pulse device; acquiring historical data on ice covering the ground wire, performing data analysis on the historical data on ice covering the ground wire to obtain the ice covering adhesion of the ground wire, and judging whether the energy of the electric pulse deicing device reaches the ice covering adhesion of the ground wire in combination with the output of the energy attenuation model of the electric pulse device, and making adjustments; acquiring the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, judging whether the deicing effect is achieved, and controlling the operation and stopping of the electric pulse deicing device according to the judgment result.

[0007] In a preferred embodiment, the real-time monitoring and acquisition of ice state data on the ground line of each area are carried out, and the specific steps are as follows: based on a ground ice radar, the round-trip time of the reflected signal from the radar penetrating the ice surface to the bottom of the ice layer and the propagation speed in the ice layer are obtained; the thickness of the ice layer is calculated based on the round-trip time of the reflected signal and the propagation speed in the ice layer based on a preset ice thickness formula; the environmental parameters in the current area are obtained, and the environmental parameters include temperature and pressure; the temperature and pressure are combined with the thickness of the ice layer to calculate the density of the ice layer based on a preset ice density model.

[0008] In a preferred embodiment, the ice layer influence data includes an energy conduction influence coefficient and a device capacitance influence coefficient, and the energy conduction influence coefficient is specifically obtained by the following method: obtain the density and thickness of the ice layer in the current area, the conductivity of the ice layer, and the historical energy transfer data; calculate the resistance of the ice layer based on the conductivity of the ice layer; obtain first energy conduction data, and the first energy conduction data includes a pulse current and a duration of an electric pulse; calculate the total amount of energy transfer based on the resistance of the ice layer combined with the first energy conduction data based on a preset energy transfer formula; perform data processing and feature extraction on the historical energy transfer data, analyze the influence of thickness and density on energy transfer, and obtain the thickness energy transfer influence factor and density energy transfer influence factor based on regression analysis of the influence of thickness and density on energy transfer; calculate the energy conduction influence coefficient based on the thickness energy transfer influence factor and the density energy transfer influence factor combined with the total amount of energy transfer based on a preset energy conduction influence formula.

[0009] In a preferred embodiment, the device capacitance influence coefficient is specifically obtained by the following method: obtain the dielectric constant of the air in the current area, the dielectric constant of the ice layer, the area of ​​the capacitor covered by ice, and the plate area of ​​the capacitor; obtain the standard capacitance value of the standard electric pulse device according to the plate area of ​​the capacitor combined with the standard dielectric constant; calculate the average dielectric constant based on the dielectric constant of the air and the dielectric constant of the ice layer; correct the standard capacitance value of the electric pulse device according to the average dielectric constant to obtain the capacitance value under the ice layer medium; compare and analyze the capacitance value under the ice layer medium with the standard capacitance value to obtain the device capacitance influence coefficient.

[0010] In a preferred embodiment, the energy fluctuation data of the device is specifically obtained by the following method: obtaining the input energy obtained by the electric pulse device through external energy in k time; obtaining the input voltage and input current of the electric pulse device in K time, drawing the voltage fluctuation curve and the current fluctuation curve, and performing regression analysis on the voltage fluctuation curve and the current fluctuation curve to obtain the voltage fluctuation influencing factor and the current fluctuation influencing factor; monitoring and analyzing the power fluctuation caused by the loss of the equipment to obtain the energy lost to the electric pulse device due to the loss of the equipment; obtaining the energy actually used for the electric pulse device based on the energy conversion efficiency according to the voltage fluctuation influencing factor and the current fluctuation influencing factor; calculating the energy actually used for the electric pulse device in combination with the external input energy and the energy lost by the electric pulse device based on a preset device energy fluctuation formula to obtain the device energy fluctuation data.

[0011] In a preferred embodiment, the historical data of ground wire ice coating is analyzed to obtain the ground wire ice coating adhesion force, and combined with the output of the electric pulse device energy attenuation model, it is judged whether the energy of the electric pulse deicing device reaches the ground wire ice coating adhesion force, and adjustments are made. The specific steps are as follows: obtaining the historical data of ground wire ice coating, the historical data of ground wire ice coating includes historical ground wire ice coating thickness and ice coating density and historical weather data; obtaining the ground wire ice coating adhesion force under the ice coating thickness and density by force analysis of the historical ground wire ice coating thickness and ice coating density and historical weather data; obtaining multiple ground wire ice coating adhesion forces under the ice coating thickness and density, and obtaining the ground wire ice coating adhesion force based on the moving average method. The average value and standard deviation of the ice adhesion force are obtained, and the maximum and minimum values ​​of the ground wire ice adhesion force under the current ice thickness and density are set according to the average value and standard deviation of the ice adhesion force. The judgment is made according to the output of the energy attenuation model of the electric pulse device. If the output of the energy attenuation model of the electric pulse device is less than the minimum value of the ground wire ice adhesion force, the deicing effect cannot be achieved, and the electric pulse device needs to be adjusted. If the output of the energy attenuation model of the electric pulse device is greater than the minimum value and less than the maximum value, it is the optimal deicing energy range of the electric pulse device. If the output of the energy attenuation model of the electric pulse device is greater than the maximum value of the ground wire ice adhesion force, the energy released by the electric pulse device is excessive, and it is necessary to automatically adjust to reduce the power output.

[0012] In a preferred embodiment, the method of obtaining the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, judging whether the de-icing effect is achieved, and controlling the operation and stop of the electric pulse de-icing device according to the judgment result, the specific steps are as follows: obtaining the thickness of the ice layer after the electric pulse de-icing device de-ices the ground wire through the method of S1 to judge; if the thickness of the ice layer is less than or equal to the preset minimum ice thickness for safe operation of the ground wire, stopping the electric pulse de-icing; if the thickness of the ice layer is greater than the preset minimum ice thickness for safe operation of the ground wire, the electric pulse de-icing operation needs to be performed again until the thickness of the ice layer is less than or equal to the preset minimum ice thickness for safe operation of the ground wire.

[0013] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By real-time monitoring and analysis of various environmental factors such as ice thickness, density, temperature, pressure, etc., combined with machine learning algorithms, the energy transfer and attenuation process of the electric pulse deicing device can be accurately predicted and optimized, thereby improving deicing efficiency, reducing energy loss, and adapting to complex and changing environmental conditions.

[0014] 2. By combining the historical data of ground wire ice coverage, ice adhesion analysis and the energy attenuation model of the electric pulse device, the energy output of the electric pulse deicing device can be adjusted intelligently and dynamically to ensure efficient and accurate deicing, while avoiding excessive energy waste and ensuring the safe operation of the ground wire. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the structure of a ground wire micro-power consumption intelligent deicing method provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of the structure of a ground-wire micro-power intelligent deicing system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1, Figure 1 A schematic diagram of a ground wire micro-power consumption intelligent deicing method provided in an embodiment of the present application includes the following steps: S1, dividing the ground line into several areas, monitoring and acquiring the ice layer status data covering the ground line in each area in real time, wherein the ice layer status data includes the thickness and density of the ice layer.

[0019] In this example, the ice layer status data refers to data such as the thickness and density of the ice layer on the ground line when it is covered with ice. When real-time monitoring and acquisition of the ice layer status data is performed, sensor measurement methods, image recognition methods, and remote sensing technologies are usually used. The ground line is divided into several areas. It can be understood that the ice layer status data of each area on the entire ground line is different. The specific steps for real-time monitoring and acquisition of the ice layer status data on the ground line in each area are as follows: Based on the ground ice radar, the round-trip time of the reflected signal from the radar penetrating the ice surface to the bottom of the ice layer and the propagation speed in the ice layer are obtained; The thickness of the ice layer is calculated based on a preset ice layer thickness formula using the round trip time of the reflected signal and the propagation speed in the ice layer; Obtaining environmental parameters in the current area, including temperature and pressure; The temperature and pressure are combined with the thickness of the ice layer to calculate the density of the ice layer based on a preset ice density model.

[0020] The thickness of the ice layer is calculated by the following specific formula:

[0021] The specific calculation formula of the ice density model is as follows:

[0022] In the formula, is the density of the ice layer, is the density of ice at standard temperature and pressure, is the thickness of the ice layer, is the cross-sectional area of ​​the ice layer, is the influence coefficient of temperature change on density, is the current temperature under the ice layer, is the standard temperature, is the influence coefficient of pressure change on density, is the current pressure under the ice, is the propagation speed of radar electromagnetic waves in the ice layer, is the round trip time of the reflected signal.

[0023] It should be noted that ground ice radar is an instrument system that uses electromagnetic waves to detect underground objects or structures. It is usually used to detect structures and materials under ice or ice sheets. It acquires underground images or data by emitting high-frequency electromagnetic wave pulses and analyzing the signals reflected by these pulses from underground objects (such as ice, rocks, voids, etc.). The density of ice is affected by temperature, pressure and other environmental factors. Generally, the density of ice decreases as the temperature rises. This is because when the temperature rises, the molecular motion of ice intensifies, causing the volume to expand. As the pressure increases, the molecular structure of ice is compressed and the density increases. Different ice phases have different densities at different pressures.

[0024] S2, obtaining ice layer impact data on the electric pulse deicing device and device energy fluctuation data under the current ice layer state.

[0025] In this example, the ice layer impact data includes the energy conduction impact coefficient and the device capacitance impact coefficient. The energy conduction impact coefficient refers to the degree of influence of the thickness and density of the ice layer on the energy conduction efficiency of the electric pulse deicing device. As the thickness of the ice layer increases, the electric pulse deicing device needs to transfer more energy to break the binding force of the ice layer. Thin ice layers can melt or fall off quickly under the action of less electrical energy, but thick ice layers may require higher electrical energy and longer pulse times to destroy their structure. In addition, thicker ice layers will delay the diffusion of heat, making the effective transfer and concentration of pulse energy more difficult.

[0026] Obtaining the energy conduction influence coefficient has the following advantages for analyzing the energy attenuation of electric pulse devices: Improved accuracy and prediction capability: By obtaining the energy conduction influence coefficient of the ice layer, the thermal conduction characteristics of the ice layer under the action of electric pulses can be more accurately described. The thermal conduction characteristics of the ice layer will affect the attenuation rate of the electric pulse energy in the ice layer, and thus affect the energy distribution during the pulse propagation process and the final attenuation effect. Using these influence coefficients, the behavior of electric pulses in ice layers under different conditions can be better predicted, helping to design more accurate experiments or engineering applications.

[0027] Optimization design and parameter selection: By analyzing the energy conduction characteristics of ice layers, reasonable electric pulse device parameters can be formulated for ice layers of different thicknesses and densities. For example, the appropriate electric pulse frequency and power can be selected to ensure the desired energy transfer efficiency and control the attenuation rate under specific ice conditions. This is of great significance for improving device performance and avoiding excessive or insufficient attenuation.

[0028] Understanding the energy loss mechanism: In practical applications, ice may cause different degrees of energy loss in the electric pulse device. By analyzing the energy conduction influence coefficient, researchers can deeply understand the energy loss mechanism of the ice layer (such as heat diffusion, conduction, reflection, etc.) and find out the key factors affecting energy attenuation. This provides a theoretical basis for improving the design of the device and reducing unnecessary energy waste.

[0029] Adapt to changing environment: In the actual application environment of ice, factors such as temperature and humidity often change, which may affect energy attenuation. By obtaining the energy conduction influence coefficient under different conditions, it is possible to respond to these changes more flexibly and dynamically adjust the working parameters or design of the pulse device. In this way, the stability and effectiveness of the device under different environmental conditions can be ensured.

[0030] The specific method for obtaining the energy conduction influence coefficient is as follows: Obtain the density and thickness of the ice layer under the current area, the conductivity of the ice layer, and historical energy transfer data; Calculating the resistance of the ice layer based on the conductivity of the ice layer; Acquiring first energy conduction data, wherein the first energy conduction data includes a pulse current and a duration of an electric pulse; The total amount of energy transfer is calculated based on the resistance of the ice layer and the first energy conduction data based on a preset energy transfer formula; Processing and feature extraction of historical energy transfer data, analyzing the influence of thickness and density on energy transfer, and obtaining a thickness energy transfer influence factor and a density energy transfer influence factor based on regression analysis of the influence of thickness and density on energy transfer; The energy conduction influence coefficient is calculated based on the preset energy conduction influence formula according to the thickness energy transfer influence factor and the density energy transfer influence factor combined with the total amount of energy transfer.

[0031] The specific calculation formula of the resistance of the ice layer is as follows:

[0032] The specific calculation formula for the total amount of energy transfer is as follows:

[0033] The specific calculation formula of the energy conduction influence coefficient is as follows:

[0034] In the formula, is the energy conduction influence coefficient, is the total amount of energy transferred, is the density energy transfer influencing factor, is the thickness energy transfer influencing factor, is the pulse current, is the duration of the electrical pulse, is the resistance of the ice layer, is the density of the ice layer, is the thickness of the ice layer, is the conductivity of the ice layer, is the area of ​​the ice layer through which the pulse current passes.

[0035] It should be noted that the increase in ice thickness will increase the distance of current propagation, increase resistance, increase energy loss, and reduce energy transfer efficiency. In addition, ice with a higher density absorbs more energy from electric pulses, and has poor heat transfer efficiency, which reduces energy utilization efficiency. Therefore, excessive density and thickness will have a significant impact on the energy release of the electric pulse device for deicing.

[0036] The device capacitance influence coefficient refers to the effect that ice on the ground wire will have on the capacitance value of the electric pulse deicing device. It can be understood that the formation of ice will cause changes in the electrical properties of the surface of the transmission device, especially the capacitance value. The capacitance value is determined by the charge storage capacity between two conductors, and ice will change the surface physical properties (such as thickness, dielectric constant, etc.), thereby affecting the size of the capacitance. If the capacitance of the electric pulse device is affected, the energy released by the electric pulse device will be affected, causing energy attenuation. Obtaining the device capacitance influence coefficient has the following advantages for analyzing the energy attenuation of the electric pulse device: Accurately quantify energy decay: The capacitance influence factor helps us quantify the effect of the device capacitance on energy transfer. By analyzing the change in capacitance value, we can more clearly understand the decay process of electric energy in ice. In a medium such as ice, the conduction characteristics of the electric field are closely related to the device capacitance. The capacitance influence factor helps to more accurately describe the propagation of electric pulses and energy loss in ice.

[0037] Electric field distribution prediction: The capacitance influence coefficient is crucial in simulating and analyzing the electric field distribution. For electric pulse devices, the propagation and energy attenuation of the electric field are closely related to the capacitance of the device. Different capacitance values ​​will lead to different electric field distributions, which is particularly important for predicting the attenuation and transmission process of electric energy under the ice. By obtaining the capacitance influence coefficient, the spatial distribution of the electric field can be modeled more accurately, thereby predicting the attenuation of the pulse in the ice.

[0038] Optimizing design and parameter adjustment: Analyzing the capacitance influence coefficient helps to make more reasonable choices when designing the device. By understanding the relationship between capacitance and energy attenuation, the device's capacitance configuration, material selection, and size design can be optimized to minimize energy loss or enhance the transmission effect of the pulse. For the specific environment under the ice, reasonable capacitance design can improve the efficiency of the device and enhance the energy transmission effect.

[0039] Considering the dielectric properties of ice: The ice itself has certain dielectric properties, which means that the propagation of the electric field in the ice will be affected by the dielectric properties. The capacitance influence coefficient can reflect the interaction between the electric field and the medium, thereby helping to analyze the energy attenuation under different ice conditions. For example, factors such as the thickness, density, and temperature of the ice layer will affect its dielectric constant. The introduction of the capacitance influence coefficient can take these factors into account more accurately, thereby improving the accuracy of the model.

[0040] Assessing the impact of environmental changes: The capacitance coefficient can help assess the impact of different environmental changes (such as temperature changes, ice thickness changes, etc.) on the energy attenuation of electrical pulses. The properties of the ice layer may change with changing environmental conditions, which has an important impact on the propagation of electrical pulses. Through the capacitance coefficient, the energy attenuation of pulses under different conditions can be flexibly assessed, so that timely adjustments can be made in dynamic environments.

[0041] The specific method for obtaining the device capacitance influence coefficient is as follows: Obtain the dielectric constant of the air under the current area, the dielectric constant of the ice layer, the area of ​​the capacitor covered by ice, and the plate area of ​​the capacitor; Obtaining a standard capacitance value of a standard electric pulse device according to the plate area of ​​the capacitor combined with a standard dielectric constant; The average dielectric constant is calculated based on the dielectric constant of air and the dielectric constant of ice layer; Correcting the standard capacitance value of the electric pulse device according to the average dielectric constant to obtain the capacitance value under the ice layer medium; The capacitance influence coefficient of the device is obtained by comparing and analyzing the capacitance value under the ice layer medium with the standard capacitance value.

[0042] The specific calculation formula of the average dielectric constant is as follows:

[0043] The specific calculation formula of the device capacitance influence coefficient is as follows:

[0044] In the formula, is the device capacitance influence coefficient, is the standard dielectric constant, is the average dielectric constant, is the distance between the two plates of a standard capacitor, is the distance between the two plates of the capacitor under the influence of the ice layer, is the dielectric constant of the ice layer, is the dielectric constant of air, is the plate area of ​​the capacitor, is the area of ​​the capacitor covered by ice, is the thickness of the ice layer.

[0045] It should be noted that when ice accumulation causes the capacitance to decrease, it will affect the electric field distribution of the electric pulse, and then affect the energy transfer efficiency of the current pulse. If the capacitance is too small, the transfer efficiency of the pulse current will be reduced, which will affect the de-icing effect and may cause the de-icing time to be extended or the de-icing effect to be poor. If the capacitance value is too low due to ice accumulation, the system may not be able to generate a strong enough electric field and current, thereby reducing the de-icing efficiency. The intensity of the current is directly related to the capacitance. The reduction in capacitance may lead to increased energy loss and weakened de-icing ability.

[0046] The device energy fluctuation data refers to the fluctuation data of the energy stored and collected in the electric pulse deicing device and the additional energy consumption caused by the loss of the device equipment. The acquisition of device energy fluctuation data has the following advantages for analyzing the energy attenuation of the electric pulse device: The specific method for obtaining the energy fluctuation data of the device is as follows: Obtaining input energy obtained by the electric pulse device through external energy at time k; Obtain the input voltage and input current of the electric pulse device within the K time, draw the voltage fluctuation curve and the current fluctuation curve, and perform regression analysis on the voltage fluctuation curve and the current fluctuation curve to obtain the voltage fluctuation influencing factor and the current fluctuation influencing factor; By monitoring and analyzing the power fluctuation caused by the loss of equipment, the energy lost by the electric pulse device due to the loss of equipment can be obtained; Obtaining energy actually used for the electric pulse device based on energy conversion efficiency according to the voltage fluctuation influence factor and the current fluctuation influence factor; The energy actually used for the electric pulse device is combined with the external input energy and the energy lost by the electric pulse device to calculate the device energy fluctuation data based on a preset device energy fluctuation formula.

[0047] The specific calculation formula for the energy fluctuation data of the device is as follows:

[0048] In the formula, is the device energy fluctuation data, is the energy conversion efficiency, is the input current, is the current fluctuation factor, is the input voltage, is the current fluctuation influencing factor, The equipment loses energy. is the external input energy, and k is the energy duration.

[0049] It should be noted that the input energy obtained by the external energy at time k can be understood as the energy released by the power supply pulse device converted by the electric pulse device through external factors such as photovoltaics and wind power. The loss of the equipment may cause the increase of the resistance of the equipment, resulting in the energy used by the equipment to break the ice being used to make up for the loss, resulting in energy attenuation.

[0050] S3, based on the ice layer impact data and the device energy fluctuation data, the degree of impact on the device energy attenuation is trained based on machine learning, and an energy attenuation model of the electric pulse device is constructed.

[0051] In this example, the energy attenuation model of the electric pulse device is constructed based on machine learning through ice layer impact data, which includes energy conduction impact coefficient and device capacitance impact coefficient, and device energy fluctuation data. The specific steps are as follows: Obtain historical ice layer impact data and device energy fluctuation data, preprocess the data and divide them into training sets and test sets; Taking the training set as input, the influence of ice layer impact data and device energy fluctuation data on the energy attenuation of the electric pulse device is trained based on the machine learning algorithm, and automatically iterates and adjusts, assigning influence weights to the ice layer impact data and device energy fluctuation data respectively. The energy attenuation coefficient of the electric pulse device is used as the output item to construct the energy attenuation model of the electric pulse device.

[0052] The specific calculation method of the energy attenuation model of the electric pulse device is as follows:

[0053] In the formula. is the energy attenuation coefficient of the electric pulse device, is the device energy fluctuation data, is the device capacitance influence coefficient, is the energy conduction influence coefficient, is the device energy fluctuation data weight, is the device capacitance influence coefficient weight, is the energy conduction influence coefficient weight.

[0054] S4, obtaining historical data of ground wire ice coverage, performing data analysis on the historical data of ground wire ice coverage to obtain ground wire ice coverage adhesion, and combining the output of the electric pulse device energy attenuation model to determine whether the energy of the electric pulse deicing device reaches the ground wire ice coverage adhesion, and making adjustments.

[0055] In this example, the adhesion force of the ice coating on the ground wire can be understood as the bonding force between the ice coating on the ground wire and the ground wire. The principle of de-icing by the electric pulse device is the stress exerted on the ice-covered ground wire by the energy emitted by the electric pulse device. When the stress exceeds the adhesion force of the ice coating on the ground wire, the ice begins to fall off.

[0056] The data analysis of the historical data of ground wire ice coating is performed to obtain the ground wire ice coating adhesion force, and combined with the output of the electric pulse device energy attenuation model, it is judged whether the energy of the electric pulse deicing device reaches the ground wire ice coating adhesion force, and adjustments are made. The specific steps are as follows: Acquire historical ground line ice coverage data, wherein the historical ground line ice coverage data includes historical ground line ice coverage thickness and ice coverage density and historical weather data; The ice adhesion force of the ground line under the ice thickness and density is obtained by analyzing the historical ground line ice thickness and ice density and historical weather data based on the force analysis; Obtain ice adhesion forces of multiple ground wires under the ice thickness and density, obtain an average value and a standard deviation of the ice adhesion forces of the ground wires based on a moving average method, and set a maximum value and a minimum value of the ice adhesion forces of the ground wires under the current ice thickness and density according to the average value and the standard deviation of the ice adhesion forces of the ground wires; Judging by the output of the energy attenuation model of the electric pulse device, if the output of the energy attenuation model of the electric pulse device is less than the minimum value of the ice adhesion force of the ground wire, the de-icing effect cannot be achieved and the electric pulse device needs to be adjusted. The adjustment methods include increasing the power and energy duration. If the output of the energy attenuation model of the electric pulse device is greater than the minimum value and less than the maximum value, it is the optimal de-icing energy range of the electric pulse device. If the output of the energy attenuation model of the electric pulse device is greater than the maximum value of the ice adhesion force of the ground wire, the energy released by the electric pulse device is excessive and it is necessary to automatically adjust to reduce the power output.

[0057] S5, obtaining the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, judging whether the de-icing effect is achieved, and controlling the operation and stopping of the electric pulse de-icing device according to the judgment result. The specific steps are as follows: The electric pulse deicing device is obtained by the method of S1 to judge the thickness of the ice layer after the ground wire is deiced; If the ice thickness is less than or equal to the preset minimum ice thickness for safe operation of the ground wire, the electric pulse deicing is stopped; If the ice thickness is greater than the preset minimum ice thickness for safe operation of the ground wire, electric pulse de-icing operation must be performed again until the ice thickness is less than and equal to the preset minimum ice thickness for safe operation of the ground wire.

[0058] Embodiment 2, Figure 2 A schematic diagram of the structure of a ground-line micro-power consumption intelligent deicing system provided in an embodiment of the present application includes an ice thickness and density acquisition module, a data acquisition module, an energy attenuation model construction module, a deicing judgment and adjustment module, and a device operation stop control module, and there are connections between the modules: An ice thickness and density acquisition module is used to divide the ground line into several areas, monitor and acquire the ice state data covering the ground line in each area in real time, and the ice state data includes the thickness and density of the ice layer; A data acquisition module, used to acquire ice layer impact data on the electric pulse deicing device and device energy fluctuation data under the current ice layer state; An energy attenuation model building module is used to train the degree of influence on the energy attenuation of the electric pulse device based on ice layer impact data and device energy fluctuation data based on machine learning, and to build an energy attenuation model for the electric pulse device; The deicing judgment and adjustment module is used to obtain the historical data of ground wire ice coating, analyze the historical data of ground wire ice coating to obtain the ground wire ice coating adhesion force, and judge whether the energy of the electric pulse deicing device reaches the ground wire ice coating adhesion force in combination with the output of the energy attenuation model of the electric pulse device, and make adjustments; The device operation and stop control module is used to obtain the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, determine whether the deicing effect is achieved, and control the operation and stop of the electric pulse deicing device according to the judgment result.

[0059] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0060] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0061] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0062] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0063] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0064] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A ground wire micro-power consumption intelligent deicing method, characterized in that: The steps include: Divide the ground line into several areas, monitor and obtain the ice state data covering the ground line in each area in real time, wherein the ice state data includes the thickness and density of the ice layer; Obtain ice layer impact data on the electric pulse deicing device and device energy fluctuation data under the current ice layer state; According to the ice layer impact data and device energy fluctuation data, the influence degree on the energy attenuation of the electric pulse device is trained based on machine learning, and the energy attenuation model of the electric pulse device is constructed; Obtain historical data of ground wire ice coverage, perform data analysis on the historical data of ground wire ice coverage to obtain ground wire ice coverage adhesion, and determine whether the energy of the electric pulse deicing device reaches the ground wire ice coverage adhesion force in combination with the output of the electric pulse device energy attenuation model, and make adjustments; Obtain the thickness of the ice layer after the electric pulse deicing device has deiced the ground wire, determine whether the deicing effect has been achieved, and control the operation and stop of the electric pulse deicing device based on the determination result.

2. A ground wire micro-power consumption intelligent deicing method according to claim 1, characterized in that: The specific steps of real-time monitoring and obtaining the ice state data on the ground wire in each area are as follows: Based on the ground ice radar, the round-trip time of the reflected signal from the radar penetrating the ice surface to the bottom of the ice layer and the propagation speed in the ice layer are obtained; The thickness of the ice layer is calculated based on a preset ice layer thickness formula using the round trip time of the reflected signal and the propagation speed in the ice layer; Obtaining environmental parameters in the current area, including temperature and pressure; The temperature and pressure are combined with the thickness of the ice layer to calculate the density of the ice layer based on a preset ice density model.

3. A ground wire micro-power consumption intelligent deicing method according to claim 1, characterized in that: The ice layer impact data includes the energy conduction impact coefficient and the device capacitance impact coefficient. The energy conduction impact coefficient is specifically obtained as follows: Obtain the density and thickness of the ice layer under the current area, the conductivity of the ice layer, and historical energy transfer data; Calculating the resistance of the ice layer based on the conductivity of the ice layer; Acquiring first energy conduction data, wherein the first energy conduction data includes a pulse current and a duration of an electric pulse; The total amount of energy transfer is calculated based on the resistance of the ice layer and the first energy conduction data based on a preset energy transfer formula; Processing and feature extraction of historical energy transfer data, analyzing the influence of thickness and density on energy transfer, and obtaining a thickness energy transfer influence factor and a density energy transfer influence factor based on regression analysis of the influence of thickness and density on energy transfer; The energy conduction influence coefficient is calculated based on the preset energy conduction influence formula according to the thickness energy transfer influence factor and the density energy transfer influence factor combined with the total amount of energy transfer.

4. A ground wire micro-power consumption intelligent deicing method according to claim 3, characterized in that: The specific method for obtaining the device capacitance influence coefficient is as follows: Obtain the dielectric constant of the air under the current area, the dielectric constant of the ice layer, the area of ​​the capacitor covered by ice, and the plate area of ​​the capacitor; Obtaining a standard capacitance value of a standard electric pulse device according to the plate area of ​​the capacitor combined with a standard dielectric constant; The average dielectric constant is calculated based on the dielectric constant of air and the dielectric constant of ice layer; Correcting the standard capacitance value of the electric pulse device according to the average dielectric constant to obtain the capacitance value under the ice layer medium; The capacitance influence coefficient of the device is obtained by comparing and analyzing the capacitance value under the ice layer medium with the standard capacitance value.

5. The ground wire micro-power consumption intelligent deicing method according to claim 1, characterized in that: The specific method for obtaining the energy fluctuation data of the device is as follows: Obtaining input energy obtained by the electric pulse device through external energy at time k; Obtain the input voltage and input current of the electric pulse device within the K time, draw the voltage fluctuation curve and the current fluctuation curve, and perform regression analysis on the voltage fluctuation curve and the current fluctuation curve to obtain the voltage fluctuation influencing factor and the current fluctuation influencing factor; By monitoring and analyzing the power fluctuation caused by the loss of equipment, the energy lost by the electric pulse device due to the loss of equipment can be obtained; Obtaining energy actually used for the electric pulse device based on energy conversion efficiency according to the voltage fluctuation influence factor and the current fluctuation influence factor; The energy actually used for the electric pulse device is combined with the external input energy and the energy lost by the electric pulse device to calculate the device energy fluctuation data based on a preset device energy fluctuation formula.

6. A ground wire micro-power consumption intelligent deicing method according to claim 1, characterized in that: The data analysis of the historical data of ground wire ice coating is performed to obtain the ground wire ice coating adhesion force, and combined with the output of the electric pulse device energy attenuation model, it is judged whether the energy of the electric pulse deicing device reaches the ground wire ice coating adhesion force, and adjustments are made. The specific steps are as follows: Acquire historical ground line ice coverage data, wherein the historical ground line ice coverage data includes historical ground line ice coverage thickness and ice coverage density and historical weather data; The ice adhesion force of the ground line under the ice thickness and density is obtained by analyzing the historical ground line ice thickness and ice density and historical weather data based on the force analysis; Obtain ice adhesion forces of multiple ground wires under the ice thickness and density, obtain an average value and a standard deviation of the ice adhesion forces of the ground wires based on a moving average method, and set a maximum value and a minimum value of the ice adhesion forces of the ground wires under the current ice thickness and density according to the average value and the standard deviation of the ice adhesion forces of the ground wires; Make judgment based on the output of the energy decay model of the electric pulse device; If the output of the energy attenuation model of the electric pulse device is less than the minimum value of the ice adhesion force of the ground wire, the deicing effect cannot be achieved, and the electric pulse device should be adjusted; If the output of the energy decay model of the electric pulse device is greater than the minimum value and less than the maximum value, it is the optimal deicing energy range of the electric pulse device; If the output of the energy attenuation model of the electric pulse device is greater than the maximum value of the ice adhesion force of the ground wire, the energy released by the electric pulse device is excessive and the power output is automatically adjusted to reduce.

7. A ground wire micro-power consumption intelligent deicing method according to claim 1, characterized in that: The steps of obtaining the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, judging whether the de-icing effect is achieved, and controlling the operation and stopping of the electric pulse de-icing device according to the judgment result are as follows: The electric pulse deicing device is obtained by the method of S1 to judge the thickness of the ice layer after the ground wire is deiced; If the ice thickness is less than or equal to the preset minimum ice thickness for safe operation of the ground wire, the electric pulse deicing is stopped; If the ice thickness is greater than the preset minimum ice thickness for safe operation of the ground wire, electric pulse de-icing operation must be performed again until the ice thickness is less than and equal to the preset minimum ice thickness for safe operation of the ground wire.

8. A ground wire micro-power consumption intelligent deicing method according to claim 3, characterized in that: The specific calculation formula of the resistance of the ice layer is as follows: The specific calculation formula for the total amount of energy transfer is as follows: The specific calculation formula of the energy conduction influence coefficient is as follows: In the formula, is the energy conduction influence coefficient, is the total amount of energy transferred, is the density energy transfer influencing factor, is the thickness energy transfer influencing factor, is the pulse current, is the duration of the electrical pulse, is the resistance of the ice layer, is the density of the ice layer, is the thickness of the ice layer, is the conductivity of the ice layer, is the area of ​​the ice layer through which the pulse current passes.

9. A ground wire micro-power consumption intelligent deicing method according to claim 4, characterized in that: The specific calculation formula of the average dielectric constant is as follows: The specific calculation formula of the device capacitance influence coefficient is as follows: In the formula, is the device capacitance influence coefficient, is the standard dielectric constant, is the average dielectric constant, is the distance between the two plates of a standard capacitor, is the distance between the two plates of the capacitor under the influence of the ice layer, is the dielectric constant of the ice layer, is the dielectric constant of air, is the plate area of ​​the capacitor, is the area of ​​the capacitor covered by ice, is the thickness of the ice layer.

10. A system using a ground wire micro-power consumption intelligent deicing method as claimed in any one of claims 1 to 9, characterized in that: It includes ice thickness and density acquisition module, data acquisition module, energy attenuation model construction module, de-icing judgment and adjustment module and device operation stop control module. There are connections between the modules: An ice thickness and density acquisition module is used to divide the ground line into several areas, monitor and acquire the ice state data covering the ground line in each area in real time, and the ice state data includes the thickness and density of the ice layer; A data acquisition module, used to acquire ice layer impact data on the electric pulse deicing device and device energy fluctuation data under the current ice layer state; An energy attenuation model building module is used to train the degree of influence on the energy attenuation of the electric pulse device based on ice layer impact data and device energy fluctuation data based on machine learning, and to build an energy attenuation model for the electric pulse device; The deicing judgment and adjustment module is used to obtain the historical data of ground wire ice coating, analyze the historical data of ground wire ice coating to obtain the ground wire ice coating adhesion force, and judge whether the energy of the electric pulse deicing device reaches the ground wire ice coating adhesion force in combination with the output of the energy attenuation model of the electric pulse device, and make adjustments; The device operation and stop control module is used to obtain the thickness of the ice layer after the electric pulse deicing device de-ices the ground wire, determine whether the deicing effect is achieved, and control the operation and stop of the electric pulse deicing device according to the judgment result.

Images