Wire icing state monitoring method, system, equipment and medium

Abstract

The invention discloses a wire icing state monitoring method, system and device and a medium. The method comprises the following steps: collecting current environment information and wire structure data through a sensor arranged at a preset position; determining a current wire icing state based on the wire structure data; predicting the icing growth trend of the lead according to the current lead icing state and the current environment information; and determining a lead icing state monitoring result based on the icing growth trend. According to the invention, the accuracy of conductor icing state prediction can be improved, and faults such as strand breakage or fracture of the conductor can be avoided.

Description

Technical Field

[0001] This invention relates to the field of conductor icing condition monitoring technology, and in particular to a method, system, device and medium for conductor icing condition monitoring. Background Technology

[0002] Ice accumulation on transmission line conductors causes a series of mechanical and electrical performance problems, seriously threatening the safe operation of the lines. First, icing increases the specific load on the conductors, leading to overload accidents such as conductor strand breakage or fracture, tower twisting, and foundation subsidence. Second, uneven icing between adjacent spans creates unbalanced tension, causing insulators to skew. Third, the de-icing process generates significant dynamic tension, accompanied by de-icing jumping, which can damage tower structures and cause phase-to-phase short circuits. Finally, iced conductors are prone to galloping, posing a significant threat to the line. Therefore, improving the efficiency of conductor icing monitoring is of great importance. Summary of the Invention

[0003] In view of the aforementioned existing problems, the present invention is proposed.

[0004] Therefore, the present invention provides a method, system, device and medium for monitoring conductor icing status to solve the problem of low efficiency in existing methods of monitoring conductor icing status through meteorological environment prediction.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for monitoring the icing status of a conductor, comprising the following steps: collecting current environmental information and conductor structure data by means of sensors arranged at preset locations; determining the current icing status of the conductor based on the conductor structure data; predicting the icing growth trend of the conductor based on the current icing status and the current environmental information; and determining the monitoring result of the conductor icing status based on the icing growth trend.

[0006] As a preferred embodiment of the conductor icing status monitoring method of the present invention, the step of predicting the icing growth trend of the conductor includes: determining extreme weather information based on the current environmental information and meteorological warning information; determining a test section of the conductor based on the current conductor icing status, and arranging the test section of the conductor according to the conductor structure data; conducting a conductor icing test on the test section of the conductor based on the extreme weather information simulating a real meteorological environment, and monitoring the test results of the test section of the conductor; and determining the icing growth trend of the conductor based on the test results.

[0007] As a preferred embodiment of the conductor icing status monitoring method of the present invention, the steps of conducting conductor icing tests on the test section of conductor include: determining precipitation type, wind direction, wind speed, humidity and conductor current based on the extreme meteorological information; performing environmental simulation based on the precipitation type, wind direction, wind speed, humidity and conductor current to obtain the test environment; monitoring the status information of the test section of conductor in the test environment to obtain the test results of the test section of conductor.

[0008] The beneficial effects of this preferred technical solution are as follows: by simulating extreme weather conditions to conduct physical icing tests on the test section of the conductor, it is possible to more realistically and intuitively predict the icing growth trend of the conductor under severe weather conditions, provide early warning of potential risks, and make the monitoring results more accurate and reliable.

[0009] As a preferred embodiment of the conductor icing status monitoring method of the present invention, the step of determining the icing growth trend of the conductor based on the test results includes: determining the icing growth information of the test section conductor based on the test results; and determining the icing growth trend of the conductor based on the icing growth information.

[0010] As a preferred embodiment of the conductor icing status monitoring method of the present invention, the method further includes: when the conductor icing status monitoring result indicates a risk, emitting microwave pulses to the conductor surface through an installed sensor and receiving reflected waves from the interface between the ice layer and the conductor; determining the conductor ice thickness through the time difference between the reflected waves and the microwave pulses; and determining an ice melting strategy based on the conductor ice thickness.

[0011] The beneficial effects of this preferred technical solution are as follows: it uses microwave pulse non-contact measurement of ice thickness, which overcomes the limitations of traditional methods, and the measurement results are highly accurate, providing key data support for the subsequent formulation of scientific and effective ice melting strategies.

[0012] As a preferred embodiment of the conductor icing status monitoring method of the present invention, the step of determining the de-icing strategy based on the conductor ice thickness includes: comparing the conductor ice thickness with the designed ice thickness to obtain a comparison result; determining whether the meteorological warning information meets the preset icing conditions to obtain a judgment result; acquiring the conductor current of the conductor; and determining the de-icing strategy based on the conductor current, the judgment result, and the comparison result.

[0013] The beneficial effects of this preferred technical solution are as follows: it comprehensively considers multi-dimensional information such as measured ice thickness, meteorological warnings, and conductor current to dynamically determine the ice melting strategy, thereby realizing the intelligent and precise ice melting operation and effectively avoiding resource waste or untimely ice removal.

[0014] In a preferred embodiment of the conductor icing status monitoring method of the present invention, the step of determining the current conductor icing status based on the conductor structure data includes: determining the initial ice-free tension, the measured tension after icing read by the sensor, the conductor self-weight, the conductor sag, and the span based on the conductor structure data; determining the current conductor icing thickness using a preset icing thickness calculation formula based on the initial ice-free tension, the measured tension after icing, the conductor self-weight, the conductor sag, and the span; and determining the current conductor icing status based on the current conductor icing thickness.

[0015] Secondly, the present invention provides a conductor icing status monitoring system, comprising: The data acquisition module is used to collect current environmental information and conductor structure data through sensors placed at preset locations; An icing state determination module is used to determine the current icing state of the conductor based on the conductor structure data; The prediction module is used to predict the icing growth trend of the conductor based on the current icing status of the conductor and the current environmental information. The determination module is used to determine the monitoring results of the conductor icing status based on the icing growth trend.

[0016] Thirdly, the present invention provides an electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the method for monitoring the icing status of conductors.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the wire icing status monitoring method.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: The invention collects current environmental information and conductor structure data through sensors deployed at preset locations; determines the current icing state of the conductor based on the conductor structure data; predicts the icing growth trend of the conductor based on the current icing state and the current environmental information; and determines the conductor icing state monitoring result based on the icing growth trend. Because this application predicts the icing growth trend of the conductor based on the current icing state and current environmental information, and determines the conductor icing state monitoring result based on the icing growth trend, compared to existing methods that only predict conductor icing state based on meteorological conditions, this invention can improve the accuracy of conductor icing state prediction and avoid conductor strand breakage or fracture. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the overall process of a conductor icing status monitoring method according to an embodiment of the present invention. Detailed Implementation

[0021] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0022] Example 1, referring to Figure 1 As an embodiment of the present invention, a method for monitoring the icing status of a conductor is provided, comprising the following steps S100~S400: S100: Collect current environmental information and wire structure data through sensors placed at preset locations.

[0023] S200. Determine the current icing status of the conductor based on the conductor structure data.

[0024] S300. Predict the icing growth trend of the conductor based on the current icing status and current environmental information.

[0025] S400. Determine the monitoring results of conductor icing status based on icing growth trend.

[0026] It should be understood that icing on transmission line conductors is one of the major natural disasters threatening the safe and stable operation of the power grid. Icing significantly increases the mechanical load on conductors, leading to increased sag and even serious accidents such as line breaks and tower collapses. Traditional monitoring methods rely heavily on manual inspections or simple meteorological threshold alarms, which suffer from problems such as long warning delays and inability to predict the development trend of icing, making it difficult to provide forward-looking guidance for de-icing and ice removal decisions.

[0027] Therefore, to address the aforementioned issues of monitoring delay and insufficient predictive capabilities, steps S100-S400 first achieve accurate perception of the current icing status of conductors; then, innovatively, real-time status is combined with environmental information to predict future icing growth trends, achieving a leap from static monitoring to dynamic prediction; finally, monitoring results are provided based on the predicted trends, enabling earlier identification of high-risk lines and gaining valuable time for proactive defensive measures (such as early activation of de-icing devices), thereby improving the power grid's early warning capabilities and intelligence level in responding to icing disasters.

[0028] Example 2, refer to Figure 1 As an embodiment of the present invention, a method for monitoring the icing status of conductors is provided based on the above embodiment.

[0029] In this embodiment of the application, step S100 involves collecting current environmental information and wire structure data using sensors arranged at preset locations.

[0030] It should be noted that the sensors deployed at the preset locations can be sensors for temperature, humidity, wind speed, rainfall, conductor tension, galloping acceleration, etc., installed on transmission line conductors, insulators, towers, etc., to collect environmental and conductor structure data in real time. For example, tilt sensors (dual-axis electronic compasses) installed at the top of the tower head measure the tower's tilt angle; vibration sensors installed at the anchor bolts at the four corners of the tower and on the contact surfaces between the tower base plate and the foundation monitor vibrations caused by frost heave or sudden load changes; soil pressure sensors (embedded strain gauges) installed in the soil around the foundation monitor changes in soil pressure caused by frost expansion or thaw settlement; temperature sensors and partial discharge sensors are installed at joints, etc. Current environmental information can include current temperature, humidity, wind speed, rainfall, etc. Conductor structure data can include collected information on changes in conductor tension, sag, tilt angle, resistance, capacitance, etc.

[0031] In one optional implementation, step S100 involves collecting current environmental information and conductor structure data using sensors positioned at preset locations. This can also be achieved by deploying a high-definition video monitoring device or image acquisition device on the tower. The device continuously captures images or video streams of the conductor and insulator string; it analyzes the collected visual data using image recognition algorithms (such as deep learning-based object detection and segmentation models), identifies the conductor's outline in the image in real time, and compares it with a preset baseline outline of the conductor under ice-free conditions to calculate the equivalent ice thickness of the conductor. This method primarily provides an intuitive, non-contact means of monitoring icing conditions, serving as an effective supplement and verification of mechanical sensor data, and is particularly suitable for areas where inspection is difficult or sensor deployment is inconvenient.

[0032] Step S200: Determine the current icing status of the conductor based on the conductor structure data.

[0033] It should be noted that determining the current icing status of a conductor based on conductor structure data can be based on the mechanical relationship between the increased vertical load due to icing and changes in conductor tension, using the measurement of tension increments to infer the icing thickness; or it can be based on the principle that icing causes increased conductor sag, resulting in a change in the conductor inclination angle at the suspension point, using the change in inclination angle to estimate the ice thickness, and then determining the current icing status based on the ice thickness. The current icing status includes whether the conductor is icy, and if so, the thickness of the icing. Specifically, the inclination sensor method for measuring icing thickness is as follows: the relationship between the inclination angle at the suspension point and the sag is: ; in, The term L is used to characterize the conductor inclination angle at the suspension point, L is used to characterize the span, and f is used to characterize the conductor sag.

[0034] Sag increment after icing The relationship with ice thickness d is as follows: ; in, Used to characterize the sag increment Used to characterize ice density Used to characterize the diameter of a conductor. Used to characterize gravitational acceleration Used to characterize the tension value output by the force sensor. Used to characterize ice thickness.

[0035] Through actual measurement of tilt angle changes The reverse calculation of the icing thickness d is: ; Furthermore, in order to quickly obtain the ice thickness, the sensors include a tension sensor; The steps for determining the current icing status of the conductor based on conductor structure data include: The initial ice-free tension, the measured tension after icing read by the tension sensor, the conductor's self-weight, the conductor's sag, and the span are determined based on the conductor structure data. The current ice thickness of the conductor is determined by a preset ice thickness calculation formula based on the initial ice-free tension, the measured tension after icing, the conductor's self-weight, the conductor's sag, and the span. The current icing status of the conductor is determined based on the current icing thickness.

[0036] It should be noted that the total vertical load W after icing is... total Due to the weight of the conductor W c And Ice Heavy W i The composition can be represented as: ; Where T is used to characterize the measured tension after icing (tension sensor reading), T0 is used to characterize the initial ice-free tension, f is used to characterize the conductor sag, and L is used to characterize the span.

[0037] Ice Heavy W i The relationship with the ice thickness d is as follows: ; in, The density of ice is used to characterize the density of the conductor, and the diameter of the conductor is used to characterize the diameter of the conductor. Used to characterize gravitational acceleration.

[0038] As can be derived from the above formula, the formula for calculating the preset icing thickness can be: ; Furthermore, to obtain a more accurate ice thickness, multi-sensor data fusion calculation can be performed using the tilt sensor method and the tension sensor method. That is, the results measured by the tilt sensor method and the tension sensor method are weighted to obtain the final ice thickness. For example, the weight corresponding to the measurement result of the tilt sensor method is set to 0.4, and the weight corresponding to the measurement result of the tension sensor method is set to 0.6. The final ice thickness is obtained by comprehensive calculation.

[0039] In an optional implementation, the determination of the current icing state of the conductor based on conductor structure data in step S200 can also be achieved through multi-source data fusion and state estimation algorithms. Specifically, tension data measured by a tension sensor, tilt data measured by a tilt sensor, and ice thickness data on the conductor surface directly measured by a microwave radar sensor are fused. The microwave radar sensor directly calculates the ice thickness by emitting electromagnetic waves of a specific frequency onto the conductor surface and analyzing the time difference and intensity of the echo signals. Subsequently, a Kalman filter algorithm is used to fuse and optimally estimate the ice thickness measurements from the three sources, dynamically correcting measurement noise and random errors, and finally outputting an optimal, high-confidence current conductor ice thickness value. This approach is mainly used to comprehensively utilize the advantages of sensors based on different physical principles, improving the accuracy, stability, and reliability of ice thickness measurement through data fusion technology, and reducing the risk of single sensor failure or error.

[0040] In this embodiment of the application, step S300, which involves predicting the icing growth trend of the conductor, includes steps A1 to A4: A1. Determine extreme weather information based on current environmental information and meteorological early warning information.

[0041] It should be noted that weather warnings can be for the next few days or within 24 hours. Determining extreme weather conditions based on current environmental information and weather warnings can be done by selecting the parameters most favorable for icing from the current temperature, humidity, wind speed, and weather conditions provided in the weather warning. For example, the most favorable wind speed (2~10 m / s), temperature (-5℃~0℃), humidity, and weather conditions can be selected as extreme weather information.

[0042] A2. Determine the test section conductor based on the current conductor icing status, and arrange the test section conductor according to the conductor structure data.

[0043] Determining the test section of the conductor based on the current conductor icing status can be done as follows: When the conductor is icy, the test section is determined based on the ice thickness, conductor length, material, and other structural information. In this case, the test section is icy and the ice thickness is consistent with the conductor's overall icing thickness. Alternatively, when the conductor is not icy, the test section is determined based on the conductor's length, material, and other structural information.

[0044] A3. Conduct conductor icing tests on the test section conductor based on extreme meteorological information to simulate real meteorological environment, and monitor the test results of the test section conductor.

[0045] The test results of conducting conductor icing tests on the test section of the conductor can be obtained by simulating the real meteorological environment based on extreme meteorological information, such as precipitation type, wind direction, wind speed, and humidity, and monitoring the icing status of the test section of the conductor in the simulated environment, such as the icing thickness information changing over time.

[0046] Furthermore, since conductor current has a certain inhibitory effect on icing, in order to obtain more accurate prediction results of icing growth trend, step A3 also includes: The precipitation type, wind direction, wind speed, humidity, and conductor current are determined based on extreme weather information.

[0047] The test environment was obtained by simulating the precipitation type, wind direction, wind speed, humidity, and conductor current.

[0048] Monitor the status information of the test section conductor in the test environment to obtain the test results of the test section conductor.

[0049] It should be noted that precipitation-related simulations can be performed by controlling the spray direction, spray height, and nozzle type of the spray vehicle. Monitoring the state information of the test section conductor in the test environment and obtaining the test results of the test section conductor can also include monitoring the measured tension and sag of the test section conductor after icing, so as to determine the measured tension and sag of the conductor at the time of breakage. This information can be used to determine the conductor icing threshold, such as determining the conductor's ultimate tension and ultimate sag.

[0050] A4. Determine the icing growth trend of the conductor based on the test results.

[0051] The icing growth trend corresponding to the test results of the test section of the conductor in the simulated environment is taken as the icing growth trend of the conductor. Determining the icing growth trend of the conductor based on the test results can be done by determining the icing growth information of the test section of the conductor based on the test results; or by determining the icing growth trend of the conductor based on the icing growth information. Here, the icing growth information can be the icing thickness information changing over time, and the icing growth trend can be the change in icing thickness per unit time. The value with the largest change in icing thickness per unit time can be selected as the icing growth trend.

[0052] This embodiment determines extreme weather information based on current environmental information and meteorological warning information; it determines the test section of the conductor based on the current conductor icing state and arranges the test section conductor according to the conductor structure data; it conducts conductor icing tests on the test section conductor based on the extreme weather information to simulate real meteorological environments and monitors the test results; and it determines the icing growth trend of the conductor based on the test results. This embodiment obtains the icing growth trend of the test section conductor under extreme weather conditions by simulating extreme weather, which can predict the icing growth trend of the conductor in advance and reduce the risk of conductor breakage.

[0053] In an optional implementation, step S300, predicting the icing growth trend of the conductor can also be achieved by establishing and solving a physical-mathematical model of the icing process. Specific steps include: First, based on current environmental information (such as temperature, humidity, wind speed, and liquid water content) and conductor structural data (such as diameter and surface characteristics), selecting and parameterizing a suitable icing growth model (e.g., the Macklin model for wet-growth icing and the Goodwin model for dry-growth icing). Then, inputting meteorological warning information as time-varying boundary conditions into the model, solving the model using numerical methods (such as the finite difference method), and calculating the icing mass and thickness increment at each time step over a future period. Finally, using the calculated icing thickness variation sequence over time as the icing growth trend of the conductor. This approach is mainly used when physical experimental conditions are lacking, providing a purely numerical prediction method based on physical mechanisms that can cover any future meteorological scenario, offering advantages such as low cost, high speed, and strong scenario adaptability.

[0054] In another optional implementation, in step S300, predicting the icing growth trend of the conductor can also be achieved by constructing and running the conductor heat balance equation to simulate the dynamic melting and icing process of the conductor. Specific steps include: establishing a conductor energy balance model that considers Joule heating (generated by conductor current), convective heat transfer (related to wind speed), radiative heat transfer, and latent heat of phase change (water / ice conversion). The current conductor icing state (e.g., initial ice thickness, surface temperature) is used as the initial condition, and current environmental information and meteorological warning information (e.g., ambient temperature, wind speed, solar radiation, precipitation rate) are used as dynamic inputs to calculate the conductor surface temperature in real time. When the predicted surface temperature remains below the freezing point and supercooled water is present, it is considered icing growth, with the growth rate determined by parameters such as the collision coefficient and capture coefficient; when the predicted surface temperature is above the freezing point, it is considered melting. Through this model simulation, a dynamic change curve of conductor icing thickness over a future period can be output as the growth trend. This method is mainly used to accurately quantify the inhibitory effect of conductor current (load) on the icing process, providing a precise trend prediction basis for subsequent active melting using dynamic capacity expansion.

[0055] In this embodiment of the application, step S400 is followed by: B1. If the monitoring results of the conductor icing state indicate that there is a risk, microwave pulses are emitted to the surface of the conductor through the installed sensors, and the reflected waves at the interface between the ice layer and the conductor are received.

[0056] It should be noted that the sensor can also be replaced with an ultrasonic sensor installed under the wire.

[0057] B2. Determine the ice thickness on the conductor by the time difference between the reflected wave and the microwave pulse.

[0058] Determining the ice thickness on a conductor based on the time difference between reflected waves and microwave pulses can be achieved by transmitting microwave pulses (typically in the 24 GHz or 77 GHz band) to the conductor surface and then calculating the time difference between transmission and reception by receiving the reflected waves from the ice-conductor interface. Combined with the propagation speed of microwaves in ice (Approximately 0.17 m / ns), calculate the ice thickness d: ; Here, Δt is used to characterize the time difference between transmission and reception, and v is used to characterize the propagation speed of microwaves in ice.

[0059] B3. Determine the ice melting strategy based on the ice thickness on the conductor.

[0060] It should be noted that determining the de-icing strategy based on the ice thickness of the conductor can be as follows: when the ice thickness is less than 10 mm, continue monitoring without de-icing; when the ice thickness is greater than or equal to 10 mm, obtain future weather information; when the temperature in the weather information is less than 0 degrees Celsius, start de-icing; when the temperature in the weather information is greater than or equal to 0 degrees Celsius, wait for the ice to melt naturally. Initiating de-icing can be done by starting DC de-icing.

[0061] Furthermore, in order to improve the de-icing efficiency, determining the de-icing strategy based on the ice thickness of the conductor may include: comparing the ice thickness of the conductor with the designed ice thickness to obtain the comparison results; Determine whether the meteorological warning information meets the preset icing conditions and obtain the judgment result; Obtain the current in the conductor; The de-icing strategy is determined based on the conductor current, the judgment results, and the comparison results.

[0062] It should be noted that the designed ice thickness can be a pre-set maximum ice thickness under the condition of ensuring normal power transmission of the conductor, which can be obtained through experimental calibration. For example, the designed ice thickness can be set to 80% of the limit value under the condition that the conductor cannot transmit power normally. The preset icing conditions can be a temperature below 0 degrees Celsius, humidity greater than or equal to 80%, and weather conditions such as freezing rain, freezing fog, and wet snow, which are not sunny or cloudy. The de-icing strategy is determined based on the conductor current, the judgment result, and the comparison result. If the comparison result is less than the designed ice thickness and does not meet the preset icing conditions, no de-icing is required; if the comparison result is equal to the designed ice thickness, does not meet the preset icing conditions, and the conductor current is greater than 300A, no de-icing is required. If the comparison result is greater than the designed ice thickness, does not meet the preset icing conditions, and the conductor current is greater than 300A, de-icing is performed by applying a DC short-circuit current to the conductor. If the comparison result is greater than the designed ice thickness and meets the preset icing conditions, de-icing is performed by spraying de-icing agent by drone and applying a DC short-circuit current to the conductor.

[0063] In this embodiment, when the monitoring result of conductor icing indicates a risk, a millimeter-wave radar sensor installed beneath the conductor emits microwave pulses towards the conductor surface and receives the reflected waves from the interface between the ice layer and the conductor. The ice thickness on the conductor is determined based on the time difference between the reflected wave and the microwave pulse; a de-icing strategy is then determined based on the ice thickness. This embodiment, by using highly accurate microwave monitoring to detect the ice thickness on the conductor when the monitoring result indicates a risk, and subsequently determining a de-icing strategy, can prevent conductor breakage.

[0064] In one alternative implementation, before determining the de-icing strategy, the critical de-icing current can be calculated by constructing a conductor thermal balance model. Specifically, after monitoring the conductor icing status and determining that there is a risk, the conductor ice thickness, current ambient temperature, wind speed, and solar radiation intensity are obtained; a dynamic thermal balance equation for the conductor-icing system considering Joule heating, convective heat dissipation, radiative heat dissipation, and latent heat of phase change is established; by solving this equation, the minimum continuous current value that can stably maintain the conductor surface temperature above zero degrees Celsius is calculated, i.e., the critical de-icing current. Based on this critical current value, combined with the real-time load conditions of the power grid, a decision is made on whether to adopt a "mild" de-icing method that adjusts the line load (dynamic capacity expansion) or a "forced" de-icing method that must initiate DC short-circuit de-icing. This method is mainly used to achieve precise control of the de-icing process and energy saving, ensuring the de-icing effect while minimizing the impact on the normal operation of the power grid and avoiding damage to the conductor due to overheating.

[0065] In another optional implementation, determining the de-icing strategy based on conductor ice thickness can be achieved by introducing an intelligent decision-making and drone collaborative operation system. Specific steps include: First, generating an icing risk level distribution map based on monitored conductor ice thickness, icing distribution (obtained through image analysis), and tower location information. Then, the de-icing strategy decision module, considering risk level, weather forecasts, and available resources (such as the location of fixed DC de-icing devices and drone base station status), formulates a collaborative operation plan: for line sections with uniform icing and high risk levels, fixed DC de-icing devices are prioritized for processing; for sections with severe localized icing or located in complex terrain difficult to cover, task instructions are automatically generated, dispatching drone formations equipped with de-icing agent nozzles for precise, targeted de-icing. This approach primarily addresses the problem of optimizing de-icing resource allocation in large-scale, uneven icing scenarios, achieving "full coverage and focused strikes" of transmission corridors, and improving overall de-icing efficiency and reliability under complex operating conditions.

[0066] In summary, this method involves collecting current environmental information and conductor structure data using sensors positioned at predetermined locations; determining the current icing state of the conductor based on the conductor structure data; predicting the icing growth trend of the conductor based on the current icing state and current environmental information; and determining the monitoring result of the conductor icing state based on the icing growth trend. Because this application predicts the icing growth trend of the conductor based on the current icing state and current environmental information, and then determines the monitoring result of the conductor icing state based on the icing growth trend, compared to existing methods that only predict conductor icing state based on meteorological conditions, the method described in this application can improve the accuracy of conductor icing state prediction and avoid conductor strand breakage or fracture.

[0067] Example 3 illustrates a schematic scheme for a method of monitoring conductor icing status. It should be noted that the technical solution of this conductor icing status monitoring system belongs to the same concept as the technical solution of the aforementioned conductor icing status monitoring method. Details not described in detail in this embodiment can be found in the description of the aforementioned conductor icing status monitoring method.

[0068] This embodiment also provides a conductor icing status monitoring system, including: The data acquisition module is used to collect current environmental information and conductor structure data through sensors placed at preset locations; The icing status determination module is used to determine the current icing status of the conductor based on the conductor structure data; The prediction module is used to predict the icing growth trend of the conductor based on the current icing status and current environmental information. The determination module is used to determine the monitoring results of conductor icing status based on the icing growth trend.

[0069] This embodiment also provides an electronic device suitable for monitoring the icing status of conductors, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the conductor icing status monitoring method proposed in the above embodiment.

[0070] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the method for monitoring the icing status of conductors as proposed in the above embodiments.

[0071] The storage medium proposed in this embodiment and the method for monitoring the icing status of conductors proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0072] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for monitoring the icing status of a conductor, characterized in that, Includes the following steps: Current environmental information and conductor structure data are collected by sensors placed at preset locations; The current icing status of the conductor is determined based on the conductor structure data; Predict the icing growth trend of the conductor based on the current icing status and the current environmental information; The monitoring results of conductor icing status are determined based on the icing growth trend.

2. The method for monitoring conductor icing status as described in claim 1, characterized in that, The steps for predicting the icing growth trend of a conductor include: Extreme weather information is determined based on the current environmental information and meteorological warning information; The test section of the conductor is determined based on the current icing status of the conductor, and the test section of the conductor is arranged according to the conductor structure data; Based on the extreme meteorological information, a conductor icing test was conducted on the test section of the conductor to simulate the real meteorological environment, and the test results of the test section of the conductor were monitored. The icing growth trend of the conductor was determined based on the test results.

3. The method for monitoring conductor icing status as described in claim 2, characterized in that, The steps for conducting a conductor icing test on the test section of the conductor include: The precipitation type, wind direction, wind speed, humidity, and conductor current are determined based on the extreme weather information. The test environment was obtained by simulating the precipitation type, wind direction, wind speed, humidity, and conductor current. The status information of the test section conductor in the test environment is monitored to obtain the test results of the test section conductor.

4. The method for monitoring conductor icing status as described in claim 3, characterized in that, The steps for determining the icing growth trend of the conductor based on the test results include: The icing growth information of the test section conductor was determined based on the test results; The icing growth trend of the conductor is determined based on the icing growth information.

5. The method for monitoring conductor icing status as described in claim 4, characterized in that, Also includes: If the monitoring result of the conductor icing status indicates a risk, microwave pulses are emitted to the surface of the conductor through the installed sensors, and the reflected waves at the interface between the ice layer and the conductor are received. The ice thickness on the conductor is determined by the time difference between the reflected wave and the microwave pulse. The ice melting strategy is determined based on the ice thickness on the conductor.

6. The method for monitoring conductor icing status as described in claim 5, characterized in that, The steps for determining the ice melting strategy based on the ice thickness on the conductor include: The ice thickness of the conductor was compared with the designed ice thickness to obtain the comparison results; Determine whether the meteorological warning information meets the preset icing conditions and obtain the judgment result; Obtain the conductor current; The de-icing strategy is determined based on the conductor current, the judgment result, and the comparison result.

7. The method for monitoring conductor icing status as described in claim 6, characterized in that, The steps for determining the current icing status of the conductor based on the conductor structure data include: The initial ice-free tension, the measured tension after icing read by the sensor, the conductor weight, the conductor sag, and the span are determined based on the conductor structure data. The current ice thickness of the conductor is determined by a preset ice thickness calculation formula based on the initial ice-free tension, the measured tension after icing, the conductor's self-weight, the conductor's sag, and the span. The current icing status of the conductor is determined based on the current icing thickness of the conductor.

8. A conductor icing status monitoring system, employing the method described in any one of claims 1-7, characterized in that, include: The data acquisition module is used to collect current environmental information and conductor structure data through sensors placed at preset locations; An icing state determination module is used to determine the current icing state of the conductor based on the conductor structure data; The prediction module is used to predict the icing growth trend of the conductor based on the current icing status of the conductor and the current environmental information. The determination module is used to determine the monitoring results of the conductor icing status based on the icing growth trend.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the conductor icing status monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the conductor icing status monitoring method according to any one of claims 1 to 7.

Images