Icing monitoring method, device and equipment based on real-time wind speed and medium

Abstract

The invention discloses an icing monitoring method, device and equipment based on real-time wind speed and a medium, and relates to the field of power system monitoring, and the method comprises the steps: determining the influence of a current wind load component on the tension of a wire based on the current wind speed, and obtaining the change of the tension of the wire caused by pure icing based on the influence; according to the wire tension change and the current environment temperature and humidity, conducting wire icing thickness and conducting wire icing density are obtained through inversion, and theoretical wire tension is obtained through the conducting wire icing thickness and the conducting wire icing density; determining a target residual error between the theoretical wire tension and the current actual wire tension, if the target residual error is not in a preset residual error range, updating the current inversion parameter and skipping to the step of determining the influence of the current wind load component on the wire tension based on the current wind speed until the target residual error is in the preset residual error range, and obtaining a target result; and determining whether to trigger an alarm based on the target result. According to the invention, the interference of the dynamic wind speed on the wire tension is eliminated, and the precision and real-time performance of icing monitoring are improved.

Description

Technical Field

[0001] The present application relates to the field of power system monitoring, and in particular to a method, device, equipment and medium for monitoring icing based on real-time wind speed. Background Art

[0002] Grid icing is one of the common natural disasters in the power system, especially on ultra-high voltage transmission lines. Icing can cause accidents such as conductor dancing, line breakage, and tower collapse, which greatly threatens the safe operation of the power grid. Existing grid icing monitoring methods usually rely on equipment such as conductor tension, tilt sensors, and temperature sensors, and indirectly judge the icing situation through changes in these physical quantities. However, these methods face the following problems: (1) Environmental interference: Under complex meteorological conditions, such as sudden changes in wind speed, the existing icing monitoring methods based on conductor tension changes have large measurement errors, and their accuracy cannot meet actual needs. (2) Data lag: Existing methods rely on manual inspections or regular inspections, with long monitoring cycles, and cannot capture grid icing changes in real time, resulting in the inability to detect grid icing problems in the first place. (3) Model limitations: Existing icing prediction models ignore the dynamic impact of wind speed and only rely on the static temperature-humidity relationship, resulting in an ice thickness prediction deviation of more than 20%, resulting in poor stability and insufficient reliability of monitoring results. Summary of the Invention

[0003] In view of this, the purpose of this application is to provide a method, device, equipment, and medium for ice monitoring based on real-time wind speed, which can accurately remove the interference effect of dynamic wind speed on conductor tension, significantly improve the accuracy and real-time performance of ice monitoring under complex meteorological conditions, and provide reliable data support for the safe operation of the power grid. The specific solution is as follows:

[0004] In a first aspect, the present application provides a method for monitoring ice cover based on real-time wind speed, comprising:

[0005] Obtain the current wind speed, current actual conductor tension, current ambient temperature, and current ambient humidity within the conductor target area;

[0006] determining an influence of a current wind load component on the conductor tension based on the current wind speed, and removing dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension to obtain conductor tension change data caused by pure icing;

[0007] Inverting the conductor ice thickness and the conductor ice density according to the conductor tension change data, the current ambient temperature and the current ambient humidity, and based on current inversion parameters, and obtaining a theoretical conductor tension using the conductor ice thickness and the conductor ice density;

[0008] determining a target residual between the theoretical conductor tension and the current actual conductor tension; if the target residual is not within a preset residual range, updating the current inversion parameters and jumping to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range, thereby obtaining a target result; the target result includes the current conductor ice thickness and the current conductor ice density;

[0009] A determination is made whether to trigger an alarm based on the target result and the current wind speed.

[0010] Optionally, the real-time wind speed-based ice coverage monitoring method further includes:

[0011] The current wind speed in the target area of the conductor is obtained based on an array wind speed sensor; wherein the array wind speed sensor is deployed on the windward side of the conductor, the leeward side of the conductor and the conductor suspension point according to a grid distribution method, and the array wind speed sensor has an integrated anti-icing heating film.

[0012] Optionally, stripping dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension to obtain conductor tension change data caused by pure icing includes:

[0013] According to the current actual conductor tension and the influence of the current wind load component on the conductor tension, and using the principles of computational fluid dynamics to remove dynamic wind speed interference from the current actual conductor tension, conductor tension change data caused by current pure icing is obtained.

[0014] Optionally, inverting the conductor ice thickness and conductor ice density according to the conductor tension change data, the current ambient temperature and the current ambient humidity, and based on current inversion parameters, includes:

[0015] Assigning different weights to the wire tension change data, current ambient temperature data, and current ambient humidity data respectively;

[0016] Based on multi-source data fusion inversion technology and current inversion parameters, and based on weighted conductor tension change data, current ambient temperature data, and current ambient humidity data, a fusion calculation is performed to obtain the conductor ice thickness and conductor ice density.

[0017] Optionally, assigning different weights to the wire tension change data, the current ambient temperature data, and the current ambient humidity data respectively includes:

[0018] If the current inversion is the first inversion, different weights are assigned to the wire tension change data, the current ambient temperature data, and the current ambient humidity data based on a preset weight assignment rule;

[0019] If the current inversion is not the first inversion, different weights are assigned to the wire tension change data, the current ambient temperature data, and the current ambient humidity data based on the size and positive and negative characteristics of the target residual.

[0020] Optionally, determining whether to trigger an alarm based on the target result and the current wind speed includes:

[0021] Determine a target wind speed threshold range corresponding to the current wind speed from a preset threshold range table, and determine a target ice thickness threshold range and a target ice density threshold range corresponding to the target wind speed threshold range; the preset threshold range table includes wind speed threshold ranges, ice thickness threshold ranges, and ice density threshold ranges corresponding to different risk levels;

[0022] Comparing the current conductor ice coating thickness and the current conductor ice coating density with the corresponding target ice coating thickness threshold range and the target ice coating density threshold range respectively;

[0023] If the current conductor ice coating thickness exceeds the target ice coating thickness threshold range and / or the current conductor ice coating density exceeds the target ice coating density threshold range, a corresponding risk level is determined and a corresponding alarm is triggered.

[0024] Optionally, the preset threshold range table also includes ice growth rate thresholds corresponding to different risk levels;

[0025] Accordingly, the process of determining whether to trigger an alarm based on the target result and the current wind speed further includes:

[0026] Determining a current ice growth rate based on the current conductor ice thickness and the historical conductor ice thickness, and determining a target ice growth rate threshold corresponding to the target wind speed threshold range from the preset threshold range table;

[0027] If the current ice cover growth rate exceeds the target ice cover growth rate threshold, a corresponding risk level is determined and a corresponding alarm is triggered;

[0028] Accordingly, the triggering of the corresponding alarm includes:

[0029] Send an alarm message to the user end and start the corresponding ice melting device for automatic de-icing;

[0030] Among them, the alarm information includes the section location of the ice-covered section in the target area of the conductor, the corresponding risk level and the target parameter value that currently triggers the alarm; the target parameter value is any one or more of the current conductor ice thickness, the current conductor ice density and the current ice growth rate.

[0031] In a second aspect, the present application provides an ice monitoring device based on real-time wind speed, comprising:

[0032] A data acquisition module is used to obtain the current wind speed, current actual conductor tension, current ambient temperature and current ambient humidity in the conductor target area;

[0033] a wind speed stripping module, configured to determine the influence of a current wind load component on the conductor tension based on the current wind speed, and strip the dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension, so as to obtain conductor tension change data caused by pure icing;

[0034] a conductor tension determination module, configured to invert the conductor ice thickness and the conductor ice density based on the conductor tension change data, the current ambient temperature and the current ambient humidity, and the current inversion parameters, and obtain a theoretical conductor tension using the conductor ice thickness and the conductor ice density;

[0035] a result determination module, configured to determine a target residual between the theoretical conductor tension and the current actual conductor tension; if the target residual is not within a preset residual range, updating the current inversion parameters and jumping to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed, until the target residual is within the preset residual range, thereby obtaining a target result; the target result includes the current conductor ice thickness and the current conductor ice density;

[0036] The alarm judgment module is used to determine whether to trigger an alarm based on the target result and the current wind speed.

[0037] In a third aspect, the present application provides an electronic device, comprising:

[0038] Memory, used to store computer programs;

[0039] A processor is used to execute the computer program to implement the aforementioned ice coverage monitoring method based on real-time wind speed.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned ice monitoring method based on real-time wind speed.

[0041] In the present application, the current wind speed, current actual conductor tension, current ambient temperature, and current ambient humidity within a target conductor area are obtained; the influence of the current wind load component on the conductor tension is determined based on the current wind speed; and based on the influence of the current wind load component on the conductor tension, dynamic wind speed interference is removed from the current actual conductor tension to obtain conductor tension change data caused by pure icing; the conductor ice thickness and conductor ice density are inverted based on the conductor tension change data, the current ambient temperature, and the current ambient humidity, and based on current inversion parameters, and a theoretical conductor tension is obtained using the conductor ice thickness and conductor ice density; a target residual between the theoretical conductor tension and the current actual conductor tension is determined; if the target residual is not within a preset residual range, the current inversion parameters are updated, and the process jumps to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range, thereby obtaining a target result; the target result includes the current conductor ice thickness and the current conductor ice density; and whether to trigger an alarm is determined based on the target result and the current wind speed. As can be seen from the above, this application obtains multiple environmental parameters within the target conductor area, including the current wind speed, the current actual conductor tension, the current ambient temperature, and the current ambient humidity. By comprehensively considering these parameters, a more comprehensive understanding of the conductor's environmental conditions can be achieved, providing a rich data foundation for subsequent accurate analysis of icing conditions. The influence of the current wind load component on the conductor tension is determined based on the current wind speed, and the dynamic wind speed interference is stripped from the current actual conductor tension to obtain the conductor tension change data caused by pure icing. This process effectively eliminates the impact of sudden changes in wind speed on conductor tension measurement, thereby improving measurement accuracy and meeting actual needs. Based on real-time data such as current wind speed, conductor tension change data, ambient temperature, and ambient humidity, the conductor ice thickness and ice density are continuously inverted. In this way, by obtaining various environmental parameters in real time and performing calculations and inversions based on these parameters, changes in power grid icing can be captured in a timely manner, avoiding the long monitoring cycles caused by manual inspections or regular testing, and realizing real-time monitoring of power grid icing. At the same time, this application takes into account the dynamic impact of wind speed. Not only is wind speed considered an important parameter when acquiring data, but during the calculation process, the calculation of icing conditions is continuously adjusted and optimized by determining the impact of the current wind load component on the conductor tension and subsequently updating the inversion parameters based on the target residual, thus overcoming the limitations of existing icing prediction models that only rely on static temperature-humidity relationships. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0043] Figure 1 This is a flow chart of an ice monitoring method based on real-time wind speed disclosed in this application;

[0044] Figure 2 This is a schematic diagram of a specific ice monitoring method based on real-time wind speed disclosed in this application;

[0045] Figure 3 This is a schematic diagram of the overall framework of an ice coverage monitoring method based on real-time wind speed disclosed in this application;

[0046] Figure 4 This is a structural schematic diagram of an ice monitoring device based on real-time wind speed disclosed in this application;

[0047] Figure 5 This is a schematic diagram of the structure of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0049] Existing methods for monitoring icing in power grids usually rely on equipment such as conductor tension, inclination sensors, and temperature sensors, and indirectly judge the icing situation through changes in these physical quantities. However, under complex meteorological conditions, the existing icing monitoring methods based on changes in conductor tension have extremely large measurement errors and cannot meet actual needs in terms of accuracy. On the other hand, existing methods rely on manual inspections or regular testing, with long monitoring cycles, and are unable to capture icing changes in the power grid in real time. At the same time, existing icing prediction models ignore the dynamic influence of wind speed, resulting in poor stability and insufficient reliability of monitoring results. To this end, the present application provides an icing monitoring method based on real-time wind speed, which can accurately remove the interference effect of dynamic wind speed on conductor tension, significantly improve the accuracy and real-time performance of icing monitoring under complex meteorological conditions, and provide reliable data support for the safe operation of the power grid.

[0050] See also Figure 1 As shown, the embodiment of the present application discloses a method for monitoring ice cover based on real-time wind speed, comprising:

[0051] Step S11: Acquire the current wind speed, the current actual conductor tension, the current ambient temperature, and the current ambient humidity in the conductor target area.

[0052] In this embodiment, high-precision wind speed sensors, optical fiber tension sensors, temperature sensors, humidity sensors, and inclination sensors deployed on the transmission lines can be used to synchronously collect multi-dimensional meteorological data such as the current wind speed, current actual conductor tension, current ambient temperature, current ambient humidity, and conductor inclination in the target area of the conductor.

[0053] Among them, the current wind speed in the target area of the conductor can be obtained based on the array wind speed sensor. The array wind speed sensor can be deployed on the windward side of the conductor, the leeward side of the conductor and the conductor suspension point according to a grid distribution method to capture three-dimensional wind speed dynamic data in real time. The array wind speed sensor housing is integrated with an anti-icing heating film to prevent ice from blocking the probe and ensure the continuity of data collection in harsh environments. The tension change of the conductor can be accurately measured based on a preset fiber grating tension sensor (such as a range of 0-100kN, a nonlinear error of <0.05%FS; FS, Full Scale). The preset fiber grating tension sensor has an embedded temperature self-compensation chip. By being embedded in the conductor suspension hardware, it can monitor micro-strain signals in real time. Its high resolution and small range characteristics can sensitively sense subtle changes in the force on the conductor. The MEMS gyroscope (such as a range of 30 degrees, with an accuracy of 0.01 degrees; MEMS (Micro Electro Mechanical System) measures the inclination of the wire and dynamically tracks the dancing trajectory of the wire, which is very important for judging the stability of the wire and the impact of ice on the wire posture; it can be based on platinum resistance PT1000 (such as precision 0.1 ) and capacitive humidity sensors (such as 1%RH (Relative Humidity) measures ambient temperature and humidity.

[0054] In this way, by pre-setting fiber Bragg grating tension sensors, MEMS gyroscopes, and temperature and humidity sensors, the mechanical state of the conductor and micrometeorological parameters can be obtained synchronously to build a multi-dimensional data foundation for ice cover inversion.

[0055] Step S12: determining the influence of the current wind load component on the conductor tension based on the current wind speed, and removing the dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension to obtain conductor tension change data caused by pure icing.

[0056] It's understandable that in actual transmission line environments, conductor tension is affected by a combination of factors, with dynamic wind speed and icing being two key factors. Actual conductor tension is the result of these multiple factors. To accurately analyze icing conditions, it's important to isolate the effect of wind speed on conductor tension.

[0057] First, by measuring and analyzing the current wind speed, we can determine the impact of the current wind load component on conductor tension. The magnitude, direction, and variation of wind speed all affect the load imposed by the wind on the conductor, and thus the conductor tension. Determining the impact of the current wind load component on conductor tension is the basis for subsequently stripping away wind speed interference. Then, based on the current actual conductor tension and the impact of the current wind load component on conductor tension, and utilizing computational fluid dynamics (CFD) principles, we can strip away the dynamic wind speed interference from the current actual conductor tension to obtain conductor tension change data caused by pure icing. This conductor tension change data more directly and accurately reflects the impact of icing on conductor tension, providing a key basis for subsequent inversion of parameters such as conductor ice thickness and density.

[0058] It should be noted that wind speed is not stable in the actual environment and may change suddenly. Such sudden changes will cause the conductor tension to fluctuate significantly and interfere with the accurate monitoring of the icing situation. Some instantaneous fluctuations may be difficult to capture. Therefore, a dynamic correction coefficient can be used to quickly adjust the compensation factor by monitoring the wind speed change rate in real time to cope with the non-steady-state changes in wind speed. Among them, the dynamic correction coefficient is a parameter that can be adjusted in real time according to the changes in wind speed, wind direction and other environmental factors monitored in real time. Real-time compensation is performed through the dynamic correction coefficient to further improve the stripping accuracy. For example, when the wind speed suddenly changes, the appropriate dynamic correction coefficient is calculated based on the pre-set algorithm and real-time data. The dynamic correction coefficient is used to adjust and compensate for the changes in the tension signal caused by the sudden change in wind speed, thereby improving the accuracy of monitoring.

[0059] Step S13: Invert the conductor ice thickness and the conductor ice density according to the conductor tension change data, the current ambient temperature and the current ambient humidity, and based on the current inversion parameters, and obtain the theoretical conductor tension using the conductor ice thickness and the conductor ice density.

[0060] In this embodiment, different weights can be first assigned to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data, respectively. Then, based on the multi-source data fusion inversion technology and the current inversion parameters, a fusion calculation is performed based on the weighted conductor tension change data, the current ambient temperature data, and the current ambient humidity data to obtain the conductor ice coating thickness and the conductor ice coating density.

[0061] It can be understood that by combining the conductor tension change data after stripping wind interference, the current ambient temperature data and the current ambient humidity data, and adopting an adaptive weighted fusion algorithm, the conductor ice thickness and conductor ice density can be inverted in real time.

[0062] Step S14: Determine the target residual between the theoretical conductor tension and the current actual conductor tension. If the target residual is not within the preset residual range, update the current inversion parameters and jump to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range, thereby obtaining a target result; the target result includes the current conductor ice coating thickness and the current conductor ice coating density.

[0063] In this embodiment, based on the target residual between the theoretical conductor tension and the current actual conductor tension, and by continuously updating the inversion parameters, the theoretical calculation results can be gradually approached to the actual measurement values, and finally accurate and high-precision conductor ice coating thickness and conductor ice coating density can be obtained.

[0064] It should be noted that in step S13, different weights are assigned to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data, respectively. This may include: if the current inversion is the first inversion, different weights are assigned to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data based on a preset weight assignment rule; if the current inversion is not the first inversion, different weights are assigned to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data, respectively, based on the size and positive and negative characteristics of the target residual.

[0065] In this way, when environmental conditions change, such as sudden changes in wind speed or temperature fluctuations, the iterative process can track the changes in environmental conditions in real time to ensure the timeliness of the results.

[0066] Step S15: Determine whether to trigger an alarm based on the target result and the current wind speed.

[0067] In this embodiment, a target wind speed threshold range corresponding to the current wind speed can be determined from a preset threshold range table, along with a target ice thickness threshold range and a target ice density threshold range corresponding to the target wind speed threshold range. The preset threshold range table includes wind speed threshold ranges, ice thickness threshold ranges, and ice density threshold ranges corresponding to different risk levels. The current conductor ice thickness and current conductor ice density are then compared with the corresponding target ice thickness threshold range and target ice density threshold range, respectively. If the current conductor ice thickness exceeds the target ice thickness threshold range and / or the current conductor ice density exceeds the target ice density threshold range, a corresponding risk level (e.g., Level 1 warning, Level 2 emergency, etc.) is determined, and a corresponding alarm is triggered.

[0068] Among them, the preset threshold range table also includes the corresponding ice growth rate thresholds under different risk levels. Accordingly, the process of determining whether to trigger an alarm based on the target result and the current wind speed may also include: determining the current ice growth rate based on the current conductor ice thickness and the historical conductor ice thickness, and determining the target ice growth rate threshold corresponding to the target wind speed threshold range from the preset threshold range table; if the current ice growth rate exceeds the target ice growth rate threshold, the corresponding risk level is determined and the corresponding alarm is triggered.

[0069] It is understandable that in addition to ice thickness and density, ice growth rate is also an important indicator for determining risk. The current ice growth rate is determined by comparing the current conductor ice thickness with the historical conductor ice thickness. Then, the target ice growth rate threshold corresponding to the current wind speed is found from the preset threshold range table. If the current ice growth rate exceeds the target ice growth rate threshold, the risk level is also determined and an alarm is triggered. This is because even if the current ice thickness and density do not exceed the threshold, if the growth rate is too fast, it means that the ice situation is rapidly deteriorating, which will also pose a threat to the security of the power grid.

[0070] The above-mentioned triggering of the corresponding alarm may include: sending an alarm message to the user end and starting the corresponding ice melting device to perform automatic de-icing; wherein the alarm information includes but is not limited to the segment location of the ice-covered section in the target area of the conductor, the corresponding risk level and the target parameter value for the current triggering of the alarm; the target parameter value is any one or more of the current conductor ice thickness, the current conductor ice density and the current ice growth rate.

[0071] This way, when an alarm is triggered, it can quickly send an alert to the user, informing maintenance personnel of the location of iced sections within the target conductor area, the corresponding risk level, and the target parameter value that triggered the alarm. This allows maintenance personnel to quickly understand the severity and specific location of the icing situation. At the same time, the corresponding ice-melting device is activated to automatically remove ice, minimizing damage to the power grid and ensuring safe and stable power transmission.

[0072] From the above, and see Figure 2As shown, in this embodiment, data collection is first performed. By deploying high-precision wind speed sensors, optical fiber tension sensors, temperature sensors, humidity sensors, and inclination sensors on the transmission lines, multi-dimensional meteorological data such as the current wind speed, the current actual conductor tension, the current ambient temperature, the current ambient humidity, and the conductor inclination in the target area of the conductor are synchronously collected. Then, based on the current wind speed, the influence of the current wind load component on the conductor tension is determined. Based on the influence of the current wind load component on the conductor tension, ice-wind load decoupling is performed to remove dynamic wind speed interference from the current actual conductor tension, and the conductor tension change data caused by pure ice coating is obtained. Furthermore, based on the conductor tension change data and the current ambient temperature, the conductor tension change data is obtained. The current inversion parameters are used to invert the ice thickness and ice density of the conductors. The theoretical conductor tension is then calculated using the ice thickness and ice density. The target residual between the theoretical conductor tension and the actual conductor tension is determined. If the target residual is not within the preset residual range, the current inversion parameters are updated and the process proceeds to the step of determining the effect of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range. The current conductor ice thickness and ice density are then obtained. Finally, an alarm is determined based on the current conductor ice thickness, ice density, and wind speed. The target wind speed threshold range corresponding to the current wind speed is determined from the preset threshold range table. The target ice thickness threshold range and target ice density threshold range corresponding to the target wind speed threshold range are also determined. The current conductor ice thickness and ice density are then compared with the corresponding target ice thickness threshold range and target ice density threshold range, respectively. If the current conductor ice thickness exceeds the target ice thickness threshold range and / or the current conductor ice density exceeds the target ice density threshold range, a corresponding risk level is determined and a corresponding alarm is triggered. If the current conductor ice thickness does not exceed the target ice thickness threshold range and the current conductor ice density does not exceed the target ice density threshold range, continuous monitoring is performed. In this way, this embodiment integrates multi-dimensional meteorological data such as real-time wind speed, temperature, and humidity to determine the impact of the current wind load component on conductor tension based on the current wind speed. Based on the impact of the current wind load component on conductor tension, ice-wind load decoupling is performed to remove dynamic wind speed interference from the current actual conductor tension, significantly optimizing the traditional equivalent ice thickness monitoring algorithm that relies solely on conductor tension. Among them, wind speed data is introduced as the core variable into the dynamic wind interference compensation mechanism, which effectively removes the coupling effect of dynamic wind speed on conductor tension; combined with parameters such as temperature and humidity, through an adaptive weighted fusion algorithm, the ice thickness and density distribution of the conductor are inverted in real time, breaking through the bottleneck of traditional monitoring technology's adaptability to complex meteorological conditions, and realizing millisecond-level dynamic perception and sub-millimeter-level precision estimation of the icing status, providing high-reliability data support for power grid icing disaster warning.

[0073] See also Figure 3As shown, the technical solution in this application is explained below by taking an overall framework diagram of an ice monitoring method based on real-time wind speed as an example.

[0074] In this embodiment, the overall framework of the icing monitoring method based on real-time wind speed is formed based on the wind speed sensing module, the multimodal sensing unit, the dynamic decoupling sensing unit and the intelligent decision-making center.

[0075] The wind speed sensing module uses an array of wind speed sensors to acquire real-time wind speed within the target conductor area. The multimodal sensing unit uses fiber optic tension sensors, temperature sensors, and humidity sensors to acquire real-time, multi-dimensional meteorological data, including the current actual conductor tension, current ambient temperature, and current ambient humidity. The dynamic decoupling sensing unit determines the impact of the current wind load component on conductor tension based on the acquired current wind speed. Ice-wind load decoupling is performed based on the impact of the current wind load component on conductor tension, removing dynamic wind speed interference from the current actual conductor tension and obtaining conductor tension change data caused by pure icing. Based on the conductor tension change data, current ambient temperature, and current humidity, and the current inversion parameters, the conductor ice thickness and density are inverted, and the theoretical conductor tension is derived from these two parameters. Determine the target residual between the theoretical conductor tension and the current actual conductor tension. If the target residual is not within the preset residual range, update the current inversion parameters and jump to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range, and obtain the current conductor ice thickness and the current conductor ice density. The intelligent decision-making center performs alarm and linkage control based on the current conductor ice thickness, the current conductor ice density and the current wind speed. When the alarm is triggered, the operation and maintenance personnel are informed of the section location of the ice section in the target area of the conductor, the corresponding risk level and the target parameter value that currently triggers the alarm, so that the operation and maintenance personnel can quickly understand the severity and specific location of the icing situation.

[0076] From the above, it can be seen that this embodiment is based on the wind speed sensing module, multimodal sensing unit, dynamic decoupling sensing unit and intelligent decision-making center to collect multi-dimensional meteorological data such as ambient wind speed in real time, accurately remove the interference effect of dynamic wind speed on conductor tension, and can significantly improve the accuracy and real-time performance of ice monitoring under complex meteorological conditions, providing reliable data support for the safe operation of the power grid.

[0077] See also Figure 4 As shown, the embodiment of the present application further discloses an ice coverage monitoring device based on real-time wind speed, comprising:

[0078] The data acquisition module 11 is used to obtain the current wind speed, the current actual conductor tension, the current ambient temperature and the current ambient humidity in the conductor target area;

[0079] a wind speed stripping module 12 for determining the influence of a current wind load component on the conductor tension based on the current wind speed, and stripping the dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension, so as to obtain conductor tension change data caused by pure icing;

[0080] a conductor tension determination module 13 for inverting the conductor ice thickness and the conductor ice density based on the conductor tension change data, the current ambient temperature and the current ambient humidity, and the current inversion parameters, and obtaining a theoretical conductor tension using the conductor ice thickness and the conductor ice density;

[0081] A result determination module 14 is configured to determine a target residual between the theoretical conductor tension and the current actual conductor tension. If the target residual is not within a preset residual range, the current inversion parameters are updated, and the process is executed to determine the effect of the current wind load component on the conductor tension based on the current wind speed until the target residual is within the preset residual range, thereby obtaining a target result. The target result includes the current conductor ice thickness and the current conductor ice density.

[0082] The alarm determination module 15 is configured to determine whether to trigger an alarm based on the target result and the current wind speed.

[0083] As can be seen from the above, this application obtains multiple environmental parameters within the target conductor area, including the current wind speed, the current actual conductor tension, the current ambient temperature, and the current ambient humidity. By comprehensively considering these parameters, a more comprehensive understanding of the conductor's environmental conditions can be achieved, providing a rich data foundation for subsequent accurate analysis of icing conditions. The influence of the current wind load component on the conductor tension is determined based on the current wind speed, and the dynamic wind speed interference is stripped from the current actual conductor tension to obtain the conductor tension change data caused by pure icing. This process effectively eliminates the impact of sudden changes in wind speed on conductor tension measurement, thereby improving measurement accuracy and meeting actual needs. Based on real-time data such as current wind speed, conductor tension change data, ambient temperature, and ambient humidity, the conductor ice thickness and ice density are continuously inverted. In this way, by obtaining various environmental parameters in real time and performing calculations and inversions based on these parameters, changes in power grid icing can be captured in a timely manner, avoiding the long monitoring cycles caused by manual inspections or regular testing, and realizing real-time monitoring of power grid icing. At the same time, this application takes into account the dynamic impact of wind speed. Not only is wind speed considered an important parameter when acquiring data, but during the calculation process, the calculation of icing conditions is continuously adjusted and optimized by determining the impact of the current wind load component on the conductor tension and subsequently updating the inversion parameters based on the target residual, thus overcoming the limitations of existing icing prediction models that only rely on static temperature-humidity relationships.

[0084] In some specific embodiments, the real-time wind speed-based ice monitoring device further includes:

[0085] A wind speed acquisition unit is used to obtain the current wind speed in the target area of the conductor based on an array wind speed sensor; wherein the array wind speed sensor is deployed on the windward side of the conductor, the leeward side of the conductor and the conductor suspension point according to a grid distribution method, and the array wind speed sensor has an integrated anti-icing heating film.

[0086] In some specific embodiments, the wind speed stripping module 12 includes:

[0087] The wind speed stripping unit is used to strip the dynamic wind speed interference from the current actual conductor tension based on the current actual conductor tension and the influence of the current wind load component on the conductor tension, and to obtain the conductor tension change data caused by the current pure icing by using the principle of computational fluid dynamics.

[0088] In some specific embodiments, the wire tension determination module 13 includes:

[0089] A weight allocation submodule is used to allocate different weights to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data respectively;

[0090] The data acquisition unit is used to perform fusion calculation based on multi-source data fusion inversion technology and current inversion parameters, and based on weighted conductor tension change data, current ambient temperature data, and current ambient humidity data to obtain the conductor ice coating thickness and conductor ice coating density.

[0091] In some specific implementations, the weight allocation submodule includes:

[0092] a first weight allocation unit, configured to allocate different weights to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data based on a preset weight allocation rule if the current inversion is a first inversion;

[0093] The second weight allocation unit is used to allocate different weights to the wire tension change data, the current ambient temperature data, and the current ambient humidity data based on the size and positive and negative characteristics of the target residual if the current inversion is not the first inversion.

[0094] In some specific implementations, the alarm determination module 15 includes:

[0095] a threshold range determination unit, configured to determine a target wind speed threshold range corresponding to the current wind speed from a preset threshold range table, and determine a target ice thickness threshold range and a target ice density threshold range corresponding to the target wind speed threshold range; the preset threshold range table includes wind speed threshold ranges, ice thickness threshold ranges, and ice density threshold ranges corresponding to different risk levels;

[0096] a data comparison unit, configured to compare the current conductor ice coating thickness and the current conductor ice coating density with the corresponding target ice coating thickness threshold range and the target ice coating density threshold range respectively;

[0097] The first alarm unit is configured to determine a corresponding risk level and trigger a corresponding alarm if the current conductor ice coating thickness exceeds the target ice coating thickness threshold range and / or the current conductor ice coating density exceeds the target ice coating density threshold range.

[0098] In some specific implementations, the preset threshold range table further includes ice growth rate thresholds corresponding to different risk levels;

[0099] Accordingly, the process of determining whether to trigger an alarm based on the target result and the current wind speed further includes:

[0100] a threshold determination unit, configured to determine a current ice growth rate based on a current conductor ice thickness and a historical conductor ice thickness, and determine a target ice growth rate threshold corresponding to the target wind speed threshold range from the preset threshold range table;

[0101] a second alarm unit, configured to determine a corresponding risk level and trigger a corresponding alarm if the current ice cover growth rate exceeds the target ice cover growth rate threshold;

[0102] Accordingly, the triggering of the corresponding alarm includes:

[0103] De-icing unit, used to send alarm information to the user end and start the corresponding ice melting device for automatic de-icing;

[0104] Among them, the alarm information includes the section location of the ice-covered section in the target area of the conductor, the corresponding risk level and the target parameter value that currently triggers the alarm; the target parameter value is any one or more of the current conductor ice thickness, the current conductor ice density and the current ice growth rate.

[0105] Furthermore, the embodiment of the present application also discloses an electronic device, Figure 5 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram should not be considered as any limitation to the scope of application of the present application.

[0106] Figure 5 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps of the real-time wind speed-based icing monitoring method disclosed in any of the aforementioned embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0107] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device. The communication protocol it follows is any communication protocol that can be applied to the technical solution of this application and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world. Its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0108] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or CD, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0109] The operating system 221 is used to manage and control the hardware devices on the electronic device 20 and the computer program 222. The operating system 221 can be Windows Server, NetWare, Unix, Linux, etc. In addition to including a computer program capable of implementing the real-time wind speed-based icing monitoring method disclosed in any of the aforementioned embodiments and executed by the electronic device 20, the computer program 222 can further include computer programs capable of performing other specific tasks.

[0110] Furthermore, this application discloses a computer-readable storage medium for storing a computer program; wherein, when executed by a processor, the computer program implements the aforementioned method for monitoring icing based on real-time wind speed. The specific steps of this method can be found in the corresponding contents disclosed in the aforementioned embodiments and will not be further described here.

[0111] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0112] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0113] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0114] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0115] The above is a detailed introduction to the technical solution provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for those skilled in the art, according to the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for monitoring ice cover based on real-time wind speed, characterized in that: include: Obtain the current wind speed, current actual conductor tension, current ambient temperature, and current ambient humidity within the conductor target area; determining an influence of a current wind load component on the conductor tension based on the current wind speed, and removing dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension to obtain conductor tension change data caused by pure icing; Inverting the conductor ice thickness and the conductor ice density according to the conductor tension change data, the current ambient temperature and the current ambient humidity, and based on current inversion parameters, and obtaining a theoretical conductor tension using the conductor ice thickness and the conductor ice density; determining a target residual between the theoretical conductor tension and the current actual conductor tension; if the target residual is not within a preset residual range, updating the current inversion parameters and jumping to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed, until the target residual is within the preset residual range, thereby obtaining a target result; The target results include the current conductor ice thickness and the current conductor ice density; A determination is made whether to trigger an alarm based on the target result and the current wind speed.

2. The ice coverage monitoring method based on real-time wind speed according to claim 1, characterized in that: Also includes: The current wind speed in the target area of the conductor is obtained based on an array wind speed sensor; wherein the array wind speed sensor is deployed on the windward side of the conductor, the leeward side of the conductor and the conductor suspension point according to a grid distribution method, and the array wind speed sensor has an integrated anti-icing heating film.

3. The ice coverage monitoring method based on real-time wind speed according to claim 1, characterized in that: The step of stripping the dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension to obtain conductor tension change data caused by pure icing includes: According to the current actual conductor tension and the influence of the current wind load component on the conductor tension, and using the principles of computational fluid dynamics to remove dynamic wind speed interference from the current actual conductor tension, conductor tension change data caused by current pure icing is obtained.

4. The ice coverage monitoring method based on real-time wind speed according to claim 1, characterized in that: The inverting the conductor ice thickness and the conductor ice density according to the conductor tension change data, the current ambient temperature and the current ambient humidity, and based on the current inversion parameters, includes: Assigning different weights to the wire tension change data, current ambient temperature data, and current ambient humidity data respectively; Based on multi-source data fusion inversion technology and current inversion parameters, and based on weighted conductor tension change data, current ambient temperature data, and current ambient humidity data, a fusion calculation is performed to obtain the conductor ice thickness and conductor ice density.

5. The ice coverage monitoring method based on real-time wind speed according to claim 4, characterized in that: The method of assigning different weights to the conductor tension change data, the current ambient temperature data, and the current ambient humidity data respectively includes: If the current inversion is the first inversion, different weights are assigned to the wire tension change data, the current ambient temperature data, and the current ambient humidity data based on a preset weight assignment rule; If the current inversion is not the first inversion, different weights are assigned to the wire tension change data, the current ambient temperature data, and the current ambient humidity data based on the size and positive and negative characteristics of the target residual.

6. The ice coverage monitoring method based on real-time wind speed according to any one of claims 1 to 5, characterized in that: The determining whether to trigger an alarm based on the target result and the current wind speed includes: Determine a target wind speed threshold range corresponding to the current wind speed from a preset threshold range table, and determine a target ice thickness threshold range and a target ice density threshold range corresponding to the target wind speed threshold range; the preset threshold range table includes wind speed threshold ranges, ice thickness threshold ranges, and ice density threshold ranges corresponding to different risk levels; Comparing the current conductor ice coating thickness and the current conductor ice coating density with the corresponding target ice coating thickness threshold range and the target ice coating density threshold range respectively; If the current conductor ice coating thickness exceeds the target ice coating thickness threshold range and / or the current conductor ice coating density exceeds the target ice coating density threshold range, a corresponding risk level is determined and a corresponding alarm is triggered.

7. The ice coverage monitoring method based on real-time wind speed according to claim 6, characterized in that: The preset threshold range table also includes ice growth rate thresholds corresponding to different risk levels; Accordingly, the process of determining whether to trigger an alarm based on the target result and the current wind speed further includes: Determining a current ice growth rate based on the current conductor ice thickness and the historical conductor ice thickness, and determining a target ice growth rate threshold corresponding to the target wind speed threshold range from the preset threshold range table; If the current ice cover growth rate exceeds the target ice cover growth rate threshold, a corresponding risk level is determined and a corresponding alarm is triggered; Accordingly, the triggering of the corresponding alarm includes: Send an alarm message to the user end and start the corresponding ice melting device for automatic de-icing; Among them, the alarm information includes the section location of the ice-covered section in the target area of the conductor, the corresponding risk level and the target parameter value that currently triggers the alarm; the target parameter value is any one or more of the current conductor ice thickness, the current conductor ice density and the current ice growth rate.

8. An ice monitoring device based on real-time wind speed, characterized in that: include: A data acquisition module is used to obtain the current wind speed, current actual conductor tension, current ambient temperature and current ambient humidity in the conductor target area; a wind speed stripping module, configured to determine the influence of a current wind load component on the conductor tension based on the current wind speed, and strip the dynamic wind speed interference from the current actual conductor tension based on the influence of the current wind load component on the conductor tension, so as to obtain conductor tension change data caused by pure icing; a conductor tension determination module, configured to invert the conductor ice thickness and the conductor ice density based on the conductor tension change data, the current ambient temperature and the current ambient humidity, and the current inversion parameters, and obtain a theoretical conductor tension using the conductor ice thickness and the conductor ice density; a result determination module, configured to determine a target residual between the theoretical conductor tension and the current actual conductor tension; if the target residual is not within a preset residual range, updating the current inversion parameters and jumping to the step of determining the influence of the current wind load component on the conductor tension based on the current wind speed, until the target residual is within the preset residual range, thereby obtaining a target result; The target results include the current conductor ice thickness and the current conductor ice density; The alarm judgment module is used to determine whether to trigger an alarm based on the target result and the current wind speed.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the ice coverage monitoring method based on real-time wind speed according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Used to store a computer program, which, when executed by a processor, implements the ice coverage monitoring method based on real-time wind speed according to any one of claims 1 to 7.

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