Power transmission line icing monitoring method and device, electronic equipment and storage medium
By using satellite data inversion and mechanical simulation, the problem of high manpower and material resource requirements in power transmission line icing monitoring has been solved, and real-time and accurate calculation and early warning of icing parameters have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- EAST CHINA BRANCH OF STATE GRID CORP
- Filing Date
- 2025-12-16
- Publication Date
- 2026-07-24
AI Technical Summary
Existing methods for monitoring icing on power transmission lines require significant manpower and resources, and real-time monitoring is difficult to achieve in areas with complex terrain.
By acquiring baseline satellite data in the un-iced state and real-time satellite data in the iced state, inversion technology is used to calculate icing parameters, and mechanical simulation is performed to generate early warning information.
It enables real-time icing monitoring without the need for on-site equipment installation, reducing manpower input, improving monitoring efficiency and accuracy, and enabling timely issuance of early warning information to prevent accidents.
Smart Images
Figure CN122067366B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power transmission line safety early warning technology, specifically to a method, device, electronic equipment, and storage medium for monitoring icing on power transmission lines. Background Technology
[0002] As a crucial component of the power system, the safe and stable operation of transmission lines is fundamental to ensuring socio-economic development and people's normal lives. However, in winter or under specific weather conditions, transmission lines are highly susceptible to icing. Icing significantly increases the load on conductors and towers, leading to decreased conductor sag and increased tension, which can, in severe cases, cause strand breakage, wire breakage, or even tower collapse. Furthermore, the transient impacts from uneven de-icing or galloping can cause severe dynamic damage to insulator strings and towers, posing a serious threat to power grid safety. Therefore, early warning of icing on transmission lines and the implementation of corresponding de-icing measures to minimize the impact of icing on line safety are of significant importance for ensuring the stable operation of transmission lines.
[0003] Currently, existing methods for measuring icing mainly involve on-site measurements using monitoring equipment installed on power transmission lines. This involves obtaining meteorological data from sensors on the towers or from weather stations to identify potential icing conditions. Personnel are then deployed to conduct on-site inspections at critical times, and high-definition cameras or drones are used to capture images of the icing to determine parameters such as icing level and thickness. While this method provides effective monitoring of icing, it is extremely time-consuming and manpower-intensive, and effective real-time monitoring is difficult to implement in complex terrain and sparsely populated areas. Summary of the Invention
[0004] In view of this, this application provides a method, device, electronic device and storage medium for monitoring icing on transmission lines. The main purpose is to solve the technical problem that the existing icing measurement methods mainly rely on on-site measurement by installing monitoring equipment on the transmission line. Although this can provide beneficial monitoring of icing, it consumes a lot of manpower and time, and it is difficult to implement effective real-time monitoring in areas with complex terrain and sparse population.
[0005] According to a first aspect of this application, a method for monitoring icing on transmission lines is provided, the method comprising: Acquire baseline satellite data of the target transmission line in an uniced state, and acquire real-time satellite data of the target transmission line in an iced state; By comparing and analyzing the real-time satellite data with the reference satellite data, the icing parameters of the target transmission line are obtained through inversion. Based on the icing parameters, the target transmission line is subjected to mechanical simulation to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The safety status of the target transmission line is assessed based on the mechanical safety assessment parameters and / or the icing parameters, and corresponding early warning information is generated based on the safety status of the target transmission line.
[0006] According to a second aspect of this application, a transmission line icing monitoring device is provided, the device comprising: The acquisition module is used to acquire reference satellite data of the target transmission line in an uniced state, and to acquire real-time satellite data of the target transmission line in an iced state. The comparison module is used to compare and analyze the real-time satellite data with the reference satellite data, and obtain the icing parameters of the target transmission line through inversion. The processing module is used to perform mechanical simulation processing on the target transmission line according to the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The assessment module is used to assess the safety status of the target transmission line based on the mechanical safety assessment parameters and / or the icing parameters, and to generate corresponding early warning information based on the safety status of the target transmission line.
[0007] According to a third aspect of this application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause a computer to execute the transmission line icing monitoring method of the first aspect described above.
[0008] According to a fourth aspect of this application, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the transmission line icing monitoring method of the first aspect described above.
[0009] By employing the above technical solutions, this application provides a method, device, electronic equipment, and storage medium for monitoring icing on transmission lines. Compared with existing technologies, this application can acquire reference satellite data of the target transmission line in an uniced state and real-time satellite data of the target transmission line in an iced state; compare and analyze the real-time satellite data with the reference satellite data, and obtain the icing parameters of the target transmission line through inversion; perform mechanical simulation processing on the target transmission line based on the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line in the current iced state; assess the safety status of the target transmission line based on the mechanical safety assessment parameters and / or the icing parameters, and generate corresponding early warning information based on the safety status of the target transmission line.
[0010] The solution in this application obtains baseline satellite data of the target transmission line in an un-iced state and real-time satellite data in an iced state, eliminating the need to install any monitoring equipment on-site. By using satellites to monitor the transmission line from the air, the application avoids the problem of personnel being unable to reach the site to install equipment due to complex terrain, and greatly reduces manpower input.
[0011] This application compares and analyzes real-time satellite data with reference satellite data, and obtains the icing parameters of the target transmission line through inversion technology. The inversion process is based on the information contained in the satellite data, using specific algorithms and models to quickly and accurately calculate relevant icing parameters, such as ice thickness and ice weight. Compared with existing methods that acquire data through on-site monitoring equipment and then perform analysis and calculation, the satellite data inversion process is more efficient, can obtain icing parameters in a short time, and saves a significant amount of time and costs.
[0012] Based on the obtained icing parameters, this application performs mechanical simulation on the target transmission line to obtain mechanical safety assessment parameters of the target transmission line under the current icing state. Mechanical simulation can comprehensively consider the influence of multiple factors such as the transmission line's structure, material properties, icing parameters, and environmental factors. By simulating the stress and deformation of the transmission line under icing conditions using computer simulation, its mechanical safety status can be assessed more accurately.
[0013] This application assesses the safety status of a target transmission line based on mechanical safety assessment parameters and / or icing parameters, and generates corresponding early warning information based on the safety status. Since satellite data can be acquired in real time, safety assessment results can be quickly obtained after data inversion and mechanical simulation, thus enabling real-time monitoring and rapid early warning of icing conditions on transmission lines. When safety hazards occur on the transmission line, early warning information can be issued promptly, notifying relevant departments to take measures to prevent accidents.
[0014] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description
[0015] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 A flowchart illustrating a method for monitoring icing on transmission lines according to an embodiment of this application is shown. Figure 2 A schematic diagram of the structure of a transmission line icing monitoring device provided in an embodiment of this application is shown. Detailed Implementation
[0018] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0019] The following description, with reference to the accompanying drawings, describes a method, apparatus, electronic device, and storage medium for monitoring icing on power transmission lines according to embodiments of this application.
[0020] To address the limitations of existing icing measurement methods, which primarily rely on on-site measurements using monitoring equipment installed on transmission lines, this approach, while effective in monitoring icing, is labor-intensive and time-consuming. Furthermore, it struggles with effective real-time monitoring in complex terrain and sparsely populated areas. Therefore, this application provides a method for monitoring icing on transmission lines. Figure 1 As shown, the method includes: Step 101: Obtain the baseline satellite data of the target transmission line in the un-iced state, and obtain the real-time satellite data of the target transmission line in the iced state.
[0021] The reference satellite data includes at least optical remote sensing images and synthetic aperture radar data of the target transmission line in its uniced state; the real-time satellite data includes at least optical remote sensing images and synthetic aperture radar data of the target transmission line in its iced state.
[0022] In specific application scenarios, with the advancement of satellite remote sensing technology, high-definition images captured by satellites at high altitudes and microwave feedback can be used to monitor power transmission lines in real time and provide all-weather early warnings. The new detection technology can operate continuously around the clock to acquire line operating parameters and record them back to the data center; it can operate stably under severe weather conditions to obtain accurate parameters; it can perform a series of post-processing processes to provide feedback on the real-time icing status of the lines; and it can analyze the post-processed data to track and provide early warnings for dangerous sections.
[0023] In response to the above, the line detection technology designed in this application combines satellite optical remote sensing and synthetic aperture radar to ensure that the satellite can work normally in low visibility conditions. It compares real-time data with historical data, analyzes suspicious sections, and obtains line icing parameters to detect line icing in real time. When the dangerous value is reached, it issues an early warning in a timely manner to remind maintenance personnel to prepare for subsequent de-icing work and ensure the safe operation of the line.
[0024] Specifically, in this embodiment, under clear weather conditions where the transmission line is not covered by ice, satellites equipped with optical remote sensing and synthetic aperture radar (SAR) can be used to monitor the target transmission line. The optical remote sensing satellite can acquire high-resolution optical remote sensing images of the target transmission line in its uniced state, clearly showing the line's appearance, direction, and surrounding environment, such as the visual characteristics of the line towers, conductors, insulators, and the surrounding environment under normal conditions. The SAR satellite can simultaneously acquire SAR data for the same area, which can penetrate obstacles such as clouds, providing electromagnetic scattering information about the line, such as inherent specular reflection and volume scattering signal strength. Both types of data are recorded and stored as reference satellite data in a data center.
[0025] During subsequent monitoring, the target transmission line is continuously monitored using the same or cooperating satellites. When weather forecasts or preliminary monitoring indicate that the line may be icing-prone, optical remote sensing imagery and synthetic aperture radar (SAR) data of the target transmission line can be acquired again as real-time satellite data. Similarly, optical remote sensing imagery can be used to visually present the appearance of icing on the line when visibility is good, while SAR data can be used to obtain the electromagnetic scattering characteristics of the line under various weather conditions, and can operate normally regardless of visibility.
[0026] Compared with existing technologies, this application achieves all-weather, wide-area, and highly timely automated monitoring, overcoming the bottlenecks of existing technologies. This technology creatively integrates the respective advantages of optical remote sensing and synthetic aperture radar (SAR) satellites to construct a collaborative monitoring network. Optical remote sensing provides intuitive image data, while SAR technology completely solves the technical problem of traditional optical methods failing in severe weather conditions with high icing rates (such as clouds, rain, snow, fog, and nighttime), achieving truly all-weather, all-time monitoring. Through multi-satellite networking, high-frequency, seamless coverage of power transmission corridors over a vast geographical area is achieved, greatly improving the spatiotemporal resolution of monitoring and completely changing the outdated situation of relying on inefficient and high-risk manual inspections.
[0027] Step 102: Compare and analyze real-time satellite data with reference satellite data, and obtain the icing parameters of the target transmission line through inversion.
[0028] In the embodiments of this application, the feedback signal of the transmission line can be processed using reverse remote sensing technology. The dielectric constant of the iced line will change abruptly. By comparing the changes in specular reflection and volume scattering under icing with those under uniced conditions, data difference can be performed to obtain icing characteristic values, and then the icing section, icing type, and icing thickness can be calculated.
[0029] A monitoring network composed of multiple satellites ensures real-time updates of icing-covered railway lines within a valid time interval, acquiring characteristic values and image data of icing changes at each time interval. By comparing icing parameters acquired during specific time periods, the changes in icing thickness and icing intervals of the railway line can be deduced.
[0030] This includes comparing and analyzing real-time satellite data with baseline satellite data, and obtaining the icing parameters of the target transmission line through inversion, which may specifically include: By comparing and analyzing real-time satellite data with baseline satellite data, the changes in electromagnetic scattering characteristics of the target transmission line caused by icing are extracted. The changes in electromagnetic scattering characteristics include at least the changes in specular reflection and volume scattering. Based on the changes in specular reflection and volume scattering of the target transmission line before and after icing, the icing parameters of the target transmission line are obtained by inversion. The icing parameters include at least one of the following: icing section, icing type, and icing thickness.
[0031] Specifically, extracting the changes in the electromagnetic scattering characteristics of the target transmission line caused by icing may include: Using multi-time phase differential technology, the dielectric constant abrupt change caused by icing in the target transmission line can be identified; The changes in specular reflection and volume scattering caused by the abrupt change in dielectric constant are quantified to obtain the changes in electromagnetic scattering characteristics of the circuit.
[0032] In this embodiment, the acquired real-time satellite data and reference satellite data can be imported into the data processing system. First, synthetic aperture radar (SAR) data of the target transmission line at the same location at different times (before and after icing) can be compared and analyzed using multi-temporal differential technology. Since icing causes a sudden change in the dielectric constant of the line, this change leads to alterations in electromagnetic scattering characteristics. By accurately identifying this dielectric constant change, and then quantifying the resulting changes in specular reflection and volume scattering, the changes in the line's electromagnetic scattering characteristics can be obtained. For example, before icing, the line's specular reflection and volume scattering have relatively stable characteristic values. However, after icing, the presence of ice alters the line's electromagnetic properties, causing significant changes in the values of specular reflection and volume scattering. By calculating these changes, the changes in electromagnetic scattering characteristics can be obtained.
[0033] Based on the changes in specular reflection and volume scattering of the target transmission line before and after icing, an inversion calculation can be performed using a pre-established electromagnetic scattering mechanism model. This model comprehensively considers the influence of different icing types, icing thicknesses, and icing sections on electromagnetic scattering characteristics. By inputting the measured changes in specular reflection and volume scattering, the icing parameters of the target transmission line are obtained through inversion, including the icing section (precisely determining the locations of icing on the line), the icing type (distinguishing between different types of icing such as rime and hoarfrost), and the icing thickness (quantifying the thickness of the icing). For example, if the model calculation shows that the changes in specular reflection and volume scattering of a certain section conform to the characteristic pattern of rime icing, then that section can be determined to be rime icing, and the icing thickness can be calculated based on the correspondence in the model.
[0034] This application represents a breakthrough in key technologies for transitioning from qualitative identification to quantitative inversion, significantly improving monitoring accuracy and depth. The core technological contribution lies in proposing a quantitative inversion method for icing parameters based on a multi-temporal differential and electromagnetic scattering mechanism model. By precisely comparing and analyzing the changes in specular reflection and volume scattering of the line before and after icing, it keenly captures the physical characteristic of the abrupt change in dielectric constant caused by icing, thereby achieving accurate identification of icing sections, effective differentiation of icing types, and quantitative inversion of icing thickness. This technological breakthrough solves the long-standing technical dilemma that most existing remote sensing monitoring remains at the qualitative stage of "presence or absence judgment," failing to provide the key parameters required for precise mechanical analysis.
[0035] Step 103: Based on the icing parameters, perform mechanical simulation on the target transmission line to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state.
[0036] In specific application scenarios, the acquired icing parameters can be used to simulate the target transmission line, calculate the tension change of the line after icing, and use this as a benchmark to assess the safety of the line. For lines with tension reaching a certain range, the monitoring time can be shortened and the line can be observed more closely. For lines with icing exceeding a certain limit, an alarm can be issued to remind maintenance personnel to carry out de-icing work.
[0037] In this embodiment of the application, based on the icing parameters, a mechanical simulation is performed on the target transmission line to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. Specifically, these parameters may include: The icing parameters are input into the pre-trained line mechanics simulation model to obtain the mechanical safety assessment parameters of the target transmission line under the current icing condition. The line mechanics simulation model is used to calculate the mechanical response of the target transmission line under the icing parameter conditions, and the mechanical safety assessment parameters are determined based on the mechanical response. The mechanical safety assessment parameters include at least the line tension change parameters.
[0038] In this embodiment, the icing parameters obtained through inversion (such as icing section, icing type, icing thickness, etc.) can be input into a pre-trained line mechanical simulation model. This model is based on the structural characteristics, material parameters, and mechanical principles of the transmission line and can simulate the mechanical response of the line under different icing conditions. For example, the model considers the relationship between key mechanical parameters such as line tension and sag and icing parameters. By inputting the icing parameters, the model can be started to perform calculations.
[0039] The line mechanics simulation model can calculate the mechanical safety assessment parameters of the target transmission line under the current icing state based on the input icing parameters. These parameters include at least the line tension change parameter. This parameter reflects the degree of influence of icing on line tension. By comparing it with the line tension before icing, the tension changes caused by icing can be intuitively understood. For example, if the calculation results show that the tension of a certain section of the line increases significantly after icing, exceeding the normal range, this provides an important basis for subsequent safety assessments.
[0040] This application constructs an integrated "sensing-analysis-early warning" technology chain, achieving a leap from passive response to proactive early warning. This application goes beyond a single monitoring function, constructing a complete intelligent decision support system. By inputting the icing parameters obtained through quantitative inversion into the line mechanical simulation model, it dynamically simulates and calculates the real-time changes of key mechanical parameters such as tension and sag of the line under icing conditions, thereby achieving accurate assessment and advanced prediction of the line's load-bearing safety status. The system can automatically trigger tiered early warnings (such as "key focus" or "emergency de-icing") based on simulation results, providing a scientific basis for operation and maintenance work and realizing a fundamental shift from post-disaster emergency rescue to pre-disaster proactive defense.
[0041] Step 104: Assess the safety status of the target transmission line based on the mechanical safety assessment parameters and / or icing parameters, and generate corresponding early warning information based on the safety status of the target transmission line.
[0042] For embodiments of this application, assessing the safety status of the target transmission line based on mechanical safety assessment parameters and / or icing parameters may specifically include: Compare the line tension variation parameters and / or icing parameters with preset classification thresholds; If the line tension change parameter is greater than the preset classification threshold, the safety status of the target transmission line will be classified as medium risk. If the icing parameter is greater than the preset classification threshold, the safety status of the target transmission line will be classified as high-risk.
[0043] In this embodiment of the application, generating corresponding early warning information based on the safety status of the target transmission line may specifically include: When the safety status of the target transmission line is medium risk, a first-level warning message is generated. The first-level warning message is used to remind operation and maintenance personnel to strengthen the monitoring of the target transmission line. When the safety status of the target transmission line is high-risk, a second-level warning message is generated. The second-level warning message is used to prompt maintenance personnel to immediately prepare for or carry out de-icing operations on the target transmission line.
[0044] In this embodiment, the line tension variation parameter and icing parameter are compared with preset classification thresholds. The preset classification thresholds can be determined comprehensively based on the transmission line design standards, safety operation requirements, and historical experience data. If the line tension variation parameter is greater than the preset corresponding classification threshold, the safety status of the target transmission line is classified as medium-risk, indicating that icing has already had a certain impact on the mechanical safety of the line and requires attention. If the icing parameter (such as icing thickness) is greater than the preset corresponding classification threshold, the safety status of the target transmission line is classified as high-risk, meaning that the icing situation has seriously threatened the safe operation of the line and immediate measures are required.
[0045] When the safety status of the target transmission line is medium risk, a first-level warning message is generated. This message is sent to the terminal devices (such as mobile phones and computers) of maintenance personnel through the communication network, prompting them to strengthen monitoring of the target transmission line, such as increasing the monitoring frequency and focusing on this section. When the safety status of the target transmission line is high risk, a second-level warning message is generated. This message not only prompts maintenance personnel to immediately prepare the equipment and tools needed for de-icing operations, but also requires them to carry out de-icing operations on the target transmission line as soon as possible to eliminate safety hazards and ensure the safe operation of the line.
[0046] This application optimizes resource allocation and enhances the intelligence and precision of power grid disaster prevention and mitigation. Based on real-time inversion and simulation results, it can dynamically adjust the allocation strategy of monitoring resources and automatically implement key monitoring of high-risk sections. This intelligent task scheduling mechanism enables maintenance manpower and resources to be precisely and efficiently deployed to critical sections, significantly improving the economy and safety of maintenance work. Simultaneously, the long-term accumulation of high-precision spatiotemporal distribution data on icing provides irreplaceable data support for power grid planning and design, icing zone delineation, and disaster prevention standard formulation, thereby improving the resilience of the power grid from the source.
[0047] In the above technical solution, the main structure of the monitoring system may include: optical remote sensing satellites and synthetic aperture radar (SAR) satellites. Optical remote sensing satellites are used to acquire images of line icing under good visibility conditions, while SAR satellites are used to acquire line icing parameters under adverse conditions.
[0048] Its core lies in monitoring the electromagnetic scattering response caused by changes in dielectric constant and geometry due to icing, and using algorithms such as change detection and machine learning to extract icing signals from complex backgrounds. Although challenges remain in resolution and high-precision inversion for quantitative monitoring of linear infrastructure, its technological value and application prospects as a large-scale, all-weather macroscopic monitoring and early warning tool have been fully validated.
[0049] This technology monitors the actual operating status of icing lines in real time, and combines meteorological data to increase monitoring efforts during periods when icing may occur, tracking changes in line icing and thus better assisting ground personnel in their inspection work.
[0050] This technology can reverse the actual operating state of the railway line, and combined with simulation, calculate the impact of changes in line tension and ice thickness on line safety. It can issue safety alarms for dangerous lines and provide a theoretical basis for line de-icing operations.
[0051] In summary, the transmission line icing monitoring method provided in this application, compared with existing technologies, can obtain reference satellite data of the target transmission line in an uniced state and real-time satellite data of the target transmission line in an iced state; compare and analyze the real-time satellite data with the reference satellite data, and obtain the icing parameters of the target transmission line through inversion; perform mechanical simulation processing on the target transmission line based on the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line in the current iced state; assess the safety status of the target transmission line based on the mechanical safety assessment parameters and / or the icing parameters, and generate corresponding early warning information based on the safety status of the target transmission line.
[0052] The solution in this application obtains baseline satellite data of the target transmission line in an un-iced state and real-time satellite data in an iced state, eliminating the need to install any monitoring equipment on-site. By using satellites to monitor the transmission line from the air, the application avoids the problem of personnel being unable to reach the site to install equipment due to complex terrain, and greatly reduces manpower input.
[0053] This application compares and analyzes real-time satellite data with reference satellite data, and obtains the icing parameters of the target transmission line through inversion technology. The inversion process is based on the information contained in the satellite data, using specific algorithms and models to quickly and accurately calculate relevant icing parameters, such as ice thickness and ice weight. Compared with existing methods that acquire data through on-site monitoring equipment and then perform analysis and calculation, the satellite data inversion process is more efficient, can obtain icing parameters in a short time, and saves a significant amount of time and costs.
[0054] Based on the obtained icing parameters, this application performs mechanical simulation on the target transmission line to obtain mechanical safety assessment parameters of the target transmission line under the current icing state. Mechanical simulation can comprehensively consider the influence of multiple factors such as the transmission line's structure, material properties, icing parameters, and environmental factors. By simulating the stress and deformation of the transmission line under icing conditions using computer simulation, its mechanical safety status can be assessed more accurately.
[0055] This application assesses the safety status of a target transmission line based on mechanical safety assessment parameters and / or icing parameters, and generates corresponding early warning information based on the safety status. Since satellite data can be acquired in real time, safety assessment results can be quickly obtained after data inversion and mechanical simulation, thus enabling real-time monitoring and rapid early warning of icing conditions on transmission lines. When safety hazards occur on the transmission line, early warning information can be issued promptly, notifying relevant departments to take measures to prevent accidents.
[0056] Based on the above Figure 1 The specific implementation of the method shown in this embodiment provides a transmission line icing monitoring device, such as... Figure 2 As shown, the device includes: an acquisition module 31, a comparison module 32, a processing module 33, and an evaluation module 34; The acquisition module 31 is used to acquire reference satellite data of the target transmission line in an uniced state, and to acquire real-time satellite data of the target transmission line in an iced state. The comparison module 32 is used to compare and analyze the real-time satellite data with the reference satellite data, and obtain the icing parameters of the target transmission line through inversion. Processing module 33 is used to perform mechanical simulation processing on the target transmission line according to the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state; The evaluation module 34 is used to evaluate the safety status of the target transmission line based on the mechanical safety evaluation parameters and / or the icing parameters, and generate corresponding early warning information based on the safety status of the target transmission line.
[0057] In specific application scenarios, the acquisition module 31 can be used to obtain at least the optical remote sensing image and synthetic aperture radar data of the target transmission line in the uniced state from the reference satellite data; and the real-time satellite data can obtain at least the optical remote sensing image and synthetic aperture radar data of the target transmission line in the iced state from the reference satellite data.
[0058] In specific application scenarios, the comparison module 32 can be used to extract the changes in the electromagnetic scattering characteristics of the target transmission line caused by icing by comparing and analyzing the real-time satellite data with the reference satellite data. The changes in electromagnetic scattering characteristics include at least the changes in specular reflection and volume scattering. Based on the changes in specular reflection and volume scattering of the target transmission line before and after icing, the icing parameters of the target transmission line are obtained by inversion. The icing parameters include at least one of the following: icing section, icing type, and icing thickness.
[0059] In specific application scenarios, the comparison module 32 can be used to identify the dielectric constant change of the target transmission line caused by icing through multi-temporal differential technology; The changes in specular reflection and volume scattering caused by the abrupt change in the dielectric constant are quantified to obtain the changes in the electromagnetic scattering characteristics of the circuit.
[0060] In a specific application scenario, the processing module 33 can be used to input the icing parameters into a pre-trained line mechanics simulation model to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The line mechanics simulation model is used to calculate the mechanical response of the target transmission line under the icing parameters and determine the mechanical safety assessment parameters based on the mechanical response. The mechanical safety assessment parameters include at least the line tension change parameters.
[0061] In specific application scenarios, the evaluation module 34 can be used to compare the line tension change parameter and / or the icing parameter with a preset grading threshold. If the line tension change parameter is greater than the preset classification threshold, the safety status of the target transmission line is classified as medium risk. If the icing parameter is greater than the preset classification threshold, the safety status of the target transmission line is classified as high-risk.
[0062] In specific application scenarios, the evaluation module 34 can be used to generate a first-level warning message when the safety status of the target transmission line is a medium-risk status. The first-level warning message is used to prompt the operation and maintenance personnel to strengthen the monitoring of the target transmission line. When the safety status of the target transmission line is high-risk, a second-level warning message is generated. The second-level warning message is used to prompt maintenance personnel to immediately prepare for or carry out de-icing operations on the target transmission line.
[0063] It should be noted that other corresponding descriptions of the functional units involved in the transmission line icing monitoring device provided in this embodiment can be found in [reference needed]. Figure 1 The corresponding descriptions in [the document] will not be repeated here.
[0064] Based on the above, Figure 1 Accordingly, this embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method. Figure 1 The method shown.
[0065] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.
[0066] Based on the above, Figure 1 The method shown, and Figure 2 To achieve the above objectives, the present application also provides an electronic device, comprising a storage medium and a processor; the storage medium for storing a computer program; and the processor for executing the computer program to implement the above-described virtual device embodiments. Figure 1 The method shown.
[0067] Optionally, the aforementioned physical devices may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB interfaces, card reader interfaces, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Wi-Fi interfaces), etc.
[0068] Those skilled in the art will understand that the physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.
[0069] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.
[0070] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms, or it can be implemented by hardware. Compared with the prior art, the technical solution of this application can obtain reference satellite data of the target transmission line in an uniced state and real-time satellite data of the target transmission line in an iced state; compare and analyze the real-time satellite data and the reference satellite data, and obtain the icing parameters of the target transmission line through inversion; perform mechanical simulation on the target transmission line according to the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line in the current iced state; assess the safety status of the target transmission line according to the mechanical safety assessment parameters and / or the icing parameters, and generate corresponding early warning information according to the safety status of the target transmission line.
[0071] The solution in this application obtains baseline satellite data of the target transmission line in an un-iced state and real-time satellite data in an iced state, eliminating the need to install any monitoring equipment on-site. By using satellites to monitor the transmission line from the air, the application avoids the problem of personnel being unable to reach the site to install equipment due to complex terrain, and greatly reduces manpower input.
[0072] This application compares and analyzes real-time satellite data with reference satellite data, and obtains the icing parameters of the target transmission line through inversion technology. The inversion process is based on the information contained in the satellite data, using specific algorithms and models to quickly and accurately calculate relevant icing parameters, such as ice thickness and ice weight. Compared with existing methods that acquire data through on-site monitoring equipment and then perform analysis and calculation, the satellite data inversion process is more efficient, can obtain icing parameters in a short time, and saves a significant amount of time and costs.
[0073] Based on the obtained icing parameters, this application performs mechanical simulation on the target transmission line to obtain mechanical safety assessment parameters of the target transmission line under the current icing state. Mechanical simulation can comprehensively consider the influence of multiple factors such as the transmission line's structure, material properties, icing parameters, and environmental factors. By simulating the stress and deformation of the transmission line under icing conditions using computer simulation, its mechanical safety status can be assessed more accurately.
[0074] This application assesses the safety status of a target transmission line based on mechanical safety assessment parameters and / or icing parameters, and generates corresponding early warning information based on the safety status. Since satellite data can be acquired in real time, safety assessment results can be quickly obtained after data inversion and mechanical simulation, thus enabling real-time monitoring and rapid early warning of icing conditions on transmission lines. When safety hazards occur on the transmission line, early warning information can be issued promptly, notifying relevant departments to take measures to prevent accidents.
[0075] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.
[0076] The above are merely specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to these embodiments, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.
Claims
1. A method for monitoring icing on transmission lines, characterized in that, The method includes: Acquire baseline satellite data of the target transmission line in an uniced state, and acquire real-time satellite data of the target transmission line in an iced state; By comparing and analyzing the real-time satellite data with the reference satellite data, the icing parameters of the target transmission line are obtained through inversion. Based on the icing parameters, the target transmission line is subjected to mechanical simulation to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The safety status of the target transmission line is assessed based on the mechanical safety assessment parameters and / or the icing parameters, and corresponding early warning information is generated based on the safety status of the target transmission line. The comparative analysis of the real-time satellite data and the reference satellite data, through inversion, yields the icing parameters of the target transmission line, including: By comparing and analyzing the real-time satellite data with the reference satellite data, the changes in the electromagnetic scattering characteristics of the target transmission line caused by icing are extracted. The changes in electromagnetic scattering characteristics include at least the changes in specular reflection and volume scattering. Based on the changes in specular reflection and volume scattering of the target transmission line before and after icing, the icing parameters of the target transmission line are obtained by inversion. The icing parameters include at least one of the following: icing section, icing type, and icing thickness. The extraction of the changes in the electromagnetic scattering characteristics of the target transmission line caused by icing includes: The dielectric constant abrupt change caused by icing in the target transmission line was identified using multi-time phase differential technology. The changes in specular reflection and volume scattering caused by the abrupt change in the dielectric constant are quantified to obtain the changes in the electromagnetic scattering characteristics of the circuit. The step of performing mechanical simulation on the target transmission line based on the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state includes: The icing parameters are input into a pre-trained line mechanics simulation model to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The line mechanics simulation model is used to calculate the mechanical response of the target transmission line under the icing parameters and determine the mechanical safety assessment parameters based on the mechanical response. The mechanical safety assessment parameters include at least the line tension change parameters.
2. The method for monitoring icing on transmission lines according to claim 1, characterized in that, The reference satellite data includes at least optical remote sensing images and synthetic aperture radar data of the target transmission line in an uniced state; The real-time satellite data includes at least optical remote sensing images and synthetic aperture radar data of the target power transmission line under icing conditions.
3. The method for monitoring icing on transmission lines according to claim 1, characterized in that, The assessment of the safety status of the target transmission line based on the mechanical safety assessment parameters and / or the icing parameters includes: Compare the line tension variation parameters and / or the icing parameters with preset classification thresholds; If the line tension change parameter is greater than the preset classification threshold, the safety status of the target transmission line is classified as medium risk. If the icing parameter is greater than the preset classification threshold, the safety status of the target transmission line is classified as high-risk.
4. The method for monitoring icing on transmission lines according to claim 3, characterized in that, The step of generating corresponding early warning information based on the safety status of the target transmission line includes: When the safety status of the target transmission line is medium risk, a first-level early warning message is generated. The first-level early warning message is used to prompt the operation and maintenance personnel to strengthen the monitoring of the target transmission line. When the safety status of the target transmission line is high-risk, a second-level warning message is generated. The second-level warning message is used to prompt maintenance personnel to immediately prepare for or carry out de-icing operations on the target transmission line.
5. A transmission line icing monitoring device, characterized in that, include: The acquisition module is used to acquire reference satellite data of the target transmission line in an uniced state, and to acquire real-time satellite data of the target transmission line in an iced state. The comparison module is used to compare and analyze the real-time satellite data with the reference satellite data, and obtain the icing parameters of the target transmission line through inversion. The processing module is used to perform mechanical simulation processing on the target transmission line according to the icing parameters to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The assessment module is used to assess the safety status of the target transmission line based on the mechanical safety assessment parameters and / or the icing parameters, and to generate corresponding early warning information based on the safety status of the target transmission line. The comparison module is used to extract the changes in electromagnetic scattering characteristics of the target transmission line caused by icing by comparing and analyzing the real-time satellite data with the reference satellite data. The changes in electromagnetic scattering characteristics include at least specular reflection changes and volume scattering changes. Based on the changes in specular reflection and volume scattering of the target transmission line before and after icing, the icing parameters of the target transmission line are obtained by inversion. The icing parameters include at least one of icing section, icing type, and icing thickness. The comparison module is used to identify the dielectric constant change of the target transmission line caused by icing through multi-temporal differential technology; quantify the specular reflection change and volume scattering change caused by the dielectric constant change to obtain the electromagnetic scattering characteristic change of the line. The processing module is used to input the icing parameters into a pre-trained line mechanics simulation model to obtain the mechanical safety assessment parameters of the target transmission line under the current icing state. The line mechanics simulation model is used to calculate the mechanical response of the target transmission line under the icing parameters and determine the mechanical safety assessment parameters based on the mechanical response. The mechanical safety assessment parameters include at least the line tension change parameters.
6. An electronic device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the transmission line icing monitoring method according to any one of claims 1 to 4.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the transmission line icing monitoring method according to any one of claims 1 to 4.