A method, apparatus, equipment, and storage medium for assessing the condition of transmission towers and lines based on regional temperature stratification.

Abstract

This invention discloses a method, apparatus, equipment, and storage medium for assessing the condition of transmission towers based on regional temperature stratification, belonging to the field of transmission line technology. The method involves: extracting temperature distribution data of the transmission tower area; dividing the transmission tower area into several temperature zones; and setting temperature loads for each temperature zone; correcting the temperature change property parameters of the steel based on the temperature loads to obtain the corrected temperature change property parameters; constructing a tower-line coupling model of the transmission tower area based on the tower-line topology data, vegetation data, temperature loads of each temperature zone, and the invariant property parameters and corrected temperature change property parameters of each steel material; performing thermo-coupling simulation on the tower-line coupling model to identify vulnerable points in the transmission tower area due to wildfires; and assessing the safety status of the transmission tower area by real-time monitoring of the operating status of these vulnerable points. This invention solves the problem of low accuracy in transmission tower condition assessment in existing technologies.

Description

Technical Field

[0001] This invention relates to the field of power transmission line technology, and in particular to a method, apparatus, equipment and storage medium for assessing the condition of power transmission towers and lines based on regional temperature stratification. Background Technology

[0002] Wildfires are a significant and frequent natural disaster threatening the safe operation of power grids. Transmission towers, as a core component of power lines, are spatial thin-walled truss structures formed by welding and bolting steel members. In the high-temperature environment of large-scale wildfires, the mechanical strength of transmission towers deteriorates, causing them to no longer meet service requirements and even leading to structural instability and tower collapse, resulting in line outages and seriously endangering the safety of overhead transmission lines. Due to the complexity of wildfire environments and the large size of the towers, conducting full-scale tests on transmission towers and lines is challenging. Currently, domestic and international scholars primarily conduct research on the mechanical response and risk assessment of transmission towers and lines under extreme conditions such as icing and strong winds through model simulation. Tower-line simulation has become an important tool for risk research on transmission lines.

[0003] When studying transmission lines under harsh environmental conditions such as icing and strong winds, the tower-to-line temperature is generally considered to be within the normal or low temperature range. Therefore, the temperature field distribution and material property changes with temperature are not considered; only the impact of mechanical loads on the tower-to-line is taken into account. However, the environment of large-scale wildfires differs from conditions such as icing and strong winds. Continuous flame erosion causes a significant decrease in the material properties of steel (elastic modulus, yield strength) with temperature, and the mechanical coupling effect between the tower and the line exacerbates the structural deformation and decrease in mechanical strength. Existing simulation methods for transmission towers and lines under large-scale wildfires do not incorporate the actual temperature distribution characteristics and dynamic decay characteristics of materials, and therefore cannot accurately simulate the thermo-mechanical coupling effect. They fail to fully reveal the tower-to-line behavior under thermo-mechanical coupling, thus affecting the accuracy of risk assessment. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and storage medium for assessing the condition of transmission towers based on regional temperature stratification, which can solve the problem of low accuracy in the assessment of transmission tower conditions in the prior art.

[0005] To address the aforementioned technical problems, this invention provides a method for assessing the condition of transmission towers based on regional temperature stratification, comprising: Extract temperature distribution data in the area of ​​the transmission tower line; wherein, the temperature distribution data is used to characterize the variation of wildfire flame temperature with altitude; Based on the temperature distribution data, the transmission tower area is divided into several temperature zones, and temperature loads are set for each temperature zone based on the temperature distribution data. Based on the temperature characteristic data of each steel material in the transmission tower area, determine the invariant property parameters and temperature-varying property parameters of each steel material; For each type of steel, the temperature change property parameters are corrected based on the temperature load corresponding to the temperature region in which the steel is located, and the corrected temperature change property parameters are obtained. Based on the tower line topology data, vegetation data, temperature loads in each temperature zone, and invariant and corrected temperature change property parameters of each steel material in the transmission tower line area, a tower line coupling model for the transmission tower line area is constructed. Thermo-coupling simulation was performed on the tower-line coupling model to identify the weak points of the transmission tower line in the wildfire. By monitoring the operational status of the vulnerable parts of the wildfire in real time, a safety status assessment is conducted on the power transmission tower area.

[0006] As a preferred embodiment, the extraction of temperature distribution data in the transmission tower area includes: Acquire vegetation type, vegetation density, and vegetation height in the transmission tower area to generate vegetation data; The corresponding experimental vegetation samples were determined based on the vegetation data. Extract several flame images of the experimental vegetation samples during the combustion experiment; Based on several flame images, construct temperature change curves at each preset height; Based on the temperature change curves at each preset height, calculate the average and maximum combustion temperatures at each preset height. Temperature distribution data is generated based on the average and maximum combustion temperatures at each preset height.

[0007] As a preferred embodiment, based on the temperature distribution data, the transmission tower area is divided into several temperature zones, including: Using vertical height as the dividing direction, the temperature difference between the average combustion temperatures of adjacent preset heights is calculated based on the temperature distribution data. The preset height corresponding to a temperature difference value greater than a preset temperature difference threshold is defined as the critical height; The transmission tower area is divided into several temperature zones based on each critical height.

[0008] As a preferred embodiment, temperature loads are set for each temperature region based on the temperature distribution data, including: For each temperature zone, the maximum combustion temperature at each preset height within the temperature zone is determined based on the temperature distribution data; The average value of the maximum combustion temperature at each preset height within the temperature range is obtained by averaging the maximum combustion temperature. The average maximum combustion temperature is set as the temperature load for the corresponding temperature region.

[0009] As a preferred approach, the temperature change property parameters are corrected based on the temperature load corresponding to the temperature range in which the steel is located, resulting in the corrected temperature change property parameters, including: Obtain the temperature change property values ​​corresponding to each temperature change property parameter of the experimental steel under different experimental temperature loads; For each temperature change property parameter, the relationship between temperature and the change in temperature change property parameter is analyzed based on the temperature change property value under different experimental temperature loads, and the temperature decay coefficient is obtained. Based on the temperature load corresponding to the temperature range where the steel is located, the temperature decay coefficient, the preset reference temperature change attribute parameters, and the reference temperature corresponding to the preset reference temperature change attribute parameters, the corrected temperature change attribute parameters are calculated.

[0010] As a preferred embodiment, the step of performing thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in the event of wildfires includes: Thermo-coupling simulation was performed on the tower-line coupling model to obtain the displacement and stress values ​​of various parts of the transmission tower line in the transmission tower line region; The displacement values ​​of each part of the transmission tower are compared with the preset displacement threshold, and the parts with displacement values ​​greater than the preset displacement threshold are identified as parts with excessive deformation. The stress values ​​of each part of the transmission tower are compared with the preset stress threshold, and the parts with stress values ​​greater than the preset stress threshold are identified as stress concentration parts. The deformation-exceeding areas and the stress-concentration areas were identified as the weak points of the transmission tower line affected by wildfires.

[0011] As a preferred embodiment, the step of conducting a safety status assessment of the transmission tower area by real-time monitoring of the operational status of the vulnerable parts of the wildfire includes: For each vulnerable point in the wildfire, the preset reference position coordinates are obtained, and the current position coordinates and current stress values ​​are collected in real time. Calculate the current displacement based on the reference position coordinates and the current position coordinates; Calculate the risk assessment value based on the current displacement and current stress value; Based on the risk assessment values ​​of each vulnerable point in the wildfire, the safety level for operation and maintenance management of the aforementioned power transmission tower area is determined.

[0012] Accordingly, the present invention provides a transmission tower condition assessment device based on regional temperature stratification, comprising: a data extraction module, a regional division module, a temperature change parameter identification module, a temperature change parameter correction module, a model construction module, a model simulation module, and a condition assessment module; The data extraction module is used to extract temperature distribution data in the transmission tower area; wherein, the temperature distribution data is used to characterize the change of wildfire flame temperature with altitude; The region division module is used to divide the transmission tower area into several temperature regions based on the temperature distribution data, and to set temperature loads for each temperature region based on the temperature distribution data. The temperature change parameter identification module is used to determine the constant property parameters and temperature change property parameters of each steel material based on the temperature characteristic data of each steel material in the transmission tower area. The temperature change parameter correction module is used to correct the temperature change attribute parameters for each steel based on the temperature load corresponding to the temperature region where the steel is located, and obtain the corrected temperature change attribute parameters. The model building module is used to construct a tower-line coupling model of the transmission tower area based on the tower-line topology data, vegetation data, temperature load of each temperature zone, and invariant property parameters and corrected temperature change property parameters of each steel material in the transmission tower area. The model simulation module is used to perform thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in wildfires. The status assessment module is used to assess the safety status of the power transmission tower area by detecting the operational status of the vulnerable parts of the wildfire in real time.

[0013] The present invention also provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements the steps of the transmission tower condition assessment method based on regional temperature stratification of the present invention.

[0014] The present invention also provides a computer-readable storage medium item, comprising: a stored computer program, which, when the computer program is executed, controls the device where the computer-readable storage medium is located to perform steps of the transmission tower condition assessment method based on regional temperature stratification of the present invention.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: This invention provides a method for assessing the condition of transmission towers based on regional temperature stratification. It extracts temperature distribution data of wildfire flame temperature variations with altitude, thereby dividing the transmission tower area into several temperature zones, and setting temperature loads for each zone. Based on these temperature loads, the temperature variation properties of steel within each temperature zone are corrected to obtain the corrected temperature variation properties. A tower-line coupling model for the transmission tower area is constructed based on the tower topology data, vegetation data, temperature loads in each temperature zone, and the constant and corrected temperature variation properties of each steel material. Thermo-coupling simulation is performed on the tower-line coupling model to identify vulnerable points in the transmission towers due to wildfires. Finally, the safety status of the transmission tower area is assessed by real-time monitoring of the operational status of these vulnerable points. This invention, based on temperature distribution data obtained from vegetation burning experiments, divides the transmission tower area into multiple temperature zones and sets different temperature loads for each zone, considering the temperature difference between transmission tower areas at different heights, indicating that the impact of wildfire flames varies among temperature zones. Furthermore, it corrects the temperature variation property parameters of steel in the transmission tower area based on each temperature load, considering the influence of temperature on steel material properties. Taking into account the temperature field distribution and the influence of temperature on steel material properties, a tower-line coupling model is constructed, and the safety status assessment of the transmission tower area is achieved through model simulation results, effectively improving the accuracy of transmission tower status assessment. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating an embodiment of the transmission tower condition assessment method based on regional temperature stratification provided by the present invention. Figure 2 A schematic diagram of temperature change curves provided for this invention; Figure 3 A schematic diagram of the temperature range of a transmission tower line provided by the present invention; Figure 4 This is a front view of one embodiment of the power transmission tower model provided by the present invention; Figure 5 A side view of one embodiment of the power transmission tower model provided by the present invention; Figure 6 A top view of one embodiment of the power transmission tower model provided by the present invention; Figure 7A schematic diagram of one embodiment of the tower-line coupling model provided by the present invention; Figure 8 This is a schematic diagram of an embodiment of the transmission tower condition assessment device based on regional temperature stratification provided by the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0020] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0024] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0025] See Figure 1 To address the issue of low accuracy in transmission tower condition assessment in existing technologies, an embodiment of the present invention provides a method for assessing transmission tower condition based on regional temperature stratification. This method includes steps 101 to 107, each step of which is detailed below: Step 101: Extract temperature distribution data of the transmission tower area; wherein the temperature distribution data is used to characterize the change of wildfire flame temperature with altitude.

[0026] In this embodiment of the invention, to consider the impact of wildfire flame temperature on different heights of the transmission tower area, it is necessary to first extract temperature distribution data of the transmission tower area for relevant analysis. Temperature distribution data can characterize the variation of wildfire flame temperature with height, and temperature distribution data can be obtained through combustion experiments.

[0027] As a preferred embodiment, extracting temperature distribution data in the transmission tower area includes: Acquire vegetation type, vegetation density, and vegetation height in the transmission tower area to generate vegetation data; The corresponding experimental vegetation samples were determined based on the vegetation data. Extract several flame images of the experimental vegetation samples during the combustion experiment; Based on several flame images, construct temperature change curves at each preset height; Based on the temperature change curves at each preset height, calculate the average and maximum combustion temperatures at each preset height. Temperature distribution data is generated based on the average and maximum combustion temperatures at each preset height.

[0028] In this embodiment of the invention, temperature distribution data of the transmission tower area is extracted. First, vegetation data is generated based on the vegetation type, density, and height of the area. Then, experimental vegetation samples are determined based on the vegetation data, and combustion experiments are conducted on these samples on a pre-set vegetation combustion platform. During the combustion experiment, multiple flame images are continuously acquired using an infrared camera. Based on this flame data, temperature change curves for each pre-set height can be constructed. The maximum value for each pre-set height is determined based on the highest height of the transmission tower, and the height difference between each pre-set height is the same. For each pre-set height, the average combustion temperature and the maximum combustion temperature can be calculated based on its corresponding temperature change curve. Summarizing the average and maximum combustion temperatures for each pre-set height generates temperature distribution data.

[0029] See Figure 2 This is a schematic diagram of temperature change curves provided by the present invention. The diagram includes temperature change curves at multiple preset heights, each representing the temperature change over time. The preset heights include 0.7m, 1.0m, 1.5m, 2.0m, 2.5m, 3.0m, 3.5m, and 4.0m. Based on the temperature change curves at each height, the average and maximum combustion temperatures at each preset height can be calculated, thereby generating temperature distribution data for the transmission tower line.

[0030] Step 102: Based on the temperature distribution data, the transmission tower area is divided into several temperature zones, and temperature loads are set for each temperature zone based on the temperature distribution data.

[0031] As a preferred embodiment, based on the temperature distribution data, the transmission tower area is divided into several temperature zones, including: Using vertical height as the dividing direction, the temperature difference between the average combustion temperatures of adjacent preset heights is calculated based on the temperature distribution data. The preset height corresponding to a temperature difference value greater than a preset temperature difference threshold is defined as the critical height; The transmission tower area is divided into several temperature zones based on each critical height.

[0032] In this embodiment of the invention, to demonstrate the impact of wildfire flame temperature on different heights of the transmission tower area, the transmission tower area can be divided into multiple temperature zones based on temperature distribution data. Specifically, since the influence of temperature on different heights is considered, the vertical height is used as the dividing direction to divide the transmission tower area into multiple temperature zones at different heights. The temperature distribution data records the average combustion temperature at multiple preset heights. First, the temperature difference between the average combustion temperature at each adjacent preset height is calculated. Each temperature difference is compared with a preset temperature difference threshold, thereby determining the preset height where the temperature difference is greater than the preset temperature difference threshold as the critical height. The preset temperature difference threshold can be set to 10 degrees Celsius to represent the temperature difference between different temperature zones. After determining the critical heights, each critical height is used as the dividing line for the temperature zones, thus dividing the transmission tower area into temperature zones at different heights.

[0033] As an example of an embodiment of the present invention Figure 3 This is a schematic diagram of the temperature range of the transmission tower line provided by the present invention. Figure 3 The transmission tower area is divided into four temperature zones from top to bottom: temperature zone 1, temperature zone 2, temperature zone 3, and temperature zone 4. There are temperature differences between the zones, with the temperature decreasing from bottom to top.

[0034] As a preferred embodiment, temperature loads are set for each temperature region based on the temperature distribution data, including: For each temperature zone, the maximum combustion temperature at each preset height within the temperature zone is determined based on the temperature distribution data; The average value of the maximum combustion temperature at each preset height within the temperature range is obtained by averaging the maximum combustion temperature. The average maximum combustion temperature is set as the temperature load for the corresponding temperature region.

[0035] In this embodiment of the invention, to demonstrate the different effects of wildfire flame temperature on different temperature zones within the transmission tower area, different temperature loads can be set for each temperature zone. To improve realism, the temperature loads set for each temperature zone are related to the temperature data of that zone. Specifically, firstly, for each temperature zone, the maximum combustion temperature at each preset height corresponding to that temperature zone is determined from the temperature distribution data, and the average of the maximum combustion temperature at each preset height is calculated to obtain the average maximum combustion temperature. This average maximum combustion temperature is then set as the temperature load for the corresponding temperature zone.

[0036] Step 103: Based on the temperature characteristic data of each steel material in the transmission tower area, determine the constant property parameters and temperature change property parameters of each steel material.

[0037] In this embodiment of the invention, the steel used in transmission towers exhibits temperature-dependent properties that change with temperature. Wildfire flames can cause these temperature-dependent properties to decay with increasing temperature. Therefore, when conducting a safety assessment of transmission towers, it is also necessary to consider the temperature-dependent changes in the material properties of the steel.

[0038] In this embodiment of the invention, to analyze the temperature decay characteristics of steel, the invariant property parameters and temperature-dependent property parameters of each type of steel are first determined. These parameters can be determined using the temperature characteristic data of the steel. The temperature characteristic data records whether each material property of the steel changes with temperature. Specifically, material properties that do not change with temperature are defined as the invariant property parameters of the steel, and material properties that change with temperature are defined as the temperature-dependent property parameters. The temperature-dependent property parameters of the steel include the elastic modulus and yield strength.

[0039] Step 104: For each type of steel, correct the temperature change property parameters based on the temperature load corresponding to the temperature region where the steel is located, and obtain the corrected temperature change property parameters.

[0040] In this embodiment of the invention, in order to reflect the influence of temperature on the temperature change attribute parameters, the temperature change attribute parameters of each temperature region are corrected to obtain the corrected temperature change attribute parameters for evaluating the safety status of transmission towers.

[0041] As a preferred embodiment, the temperature change property parameters are corrected based on the temperature load corresponding to the temperature region where the steel is located, resulting in corrected temperature change property parameters, including: Obtain the temperature change property values ​​corresponding to each temperature change property parameter of the experimental steel under different experimental temperature loads; For each temperature change property parameter, the relationship between temperature and the change in temperature change property parameter is analyzed based on the temperature change property value under different experimental temperature loads, and the temperature decay coefficient is obtained. Based on the temperature load corresponding to the temperature range where the steel is located, the temperature decay coefficient, the preset reference temperature change attribute parameters, and the reference temperature corresponding to the preset reference temperature change attribute parameters, the corrected temperature change attribute parameters are calculated.

[0042] In this embodiment of the invention, the temperature change property parameters are corrected using a temperature decay coefficient, which can be obtained experimentally. Specifically, different experimental temperature loads are applied to the experimental steel, and the temperature change property values ​​of each temperature change parameter under different experimental temperature loads are recorded. For each temperature change property parameter, the difference in temperature change property values ​​between adjacent experimental temperature loads and the temperature difference between adjacent experimental temperature loads are calculated, thereby obtaining the temperature decay coefficient through curve fitting. The relationship between the difference in temperature change property values ​​between adjacent experimental temperature loads, the temperature difference between adjacent experimental temperature loads, and the temperature decay coefficient can be expressed by the following formula: ΔA = 1 - k⋅ΔT In the formula, ΔA is the difference in temperature change attribute value between adjacent experimental temperature loads; ΔT is the temperature difference between adjacent experimental temperature loads; and k is the temperature decay coefficient.

[0043] In this embodiment of the invention, after calculating the temperature decay coefficient corresponding to each temperature change attribute parameter, the corrected temperature change attribute parameters can be calculated based on the temperature load of each temperature region, the preset reference temperature change attribute parameters, and the reference temperature corresponding to the reference temperature change attribute parameters. The formula for calculating the corrected temperature change attribute parameters is as follows: A(T) = A0−k⋅(T−T0) In the formula, A(T) is the corrected temperature change attribute parameter; T is the temperature load of the temperature region; A0 is the reference temperature change attribute parameter; T0 is the reference temperature corresponding to the reference temperature change attribute parameter; k is the temperature decay coefficient, which has the physical meaning of: the change in temperature change attribute parameter corresponding to each unit temperature change.

[0044] The reference temperature corresponding to the reference temperature change attribute parameter can be set to 25 degrees. The reference temperature change attribute parameter is the temperature change attribute value of the steel at the reference temperature.

[0045] Step 105: Based on the tower-line topology data, vegetation data, temperature loads of each temperature zone, and invariant and corrected temperature change property parameters of each steel material in the transmission tower area, construct the tower-line coupling model of the transmission tower area.

[0046] In this embodiment of the invention, the temperature load of each temperature zone reflects the influence of wildfire flame temperature on the various heights of the transmission tower area, and the corrected temperature change property parameters of each steel reflect the influence of wildfire flame temperature on the temperature change property parameters of the steel. Therefore, based on the temperature load of each temperature zone and the corrected temperature change property parameters of each steel, as well as the tower topology data, vegetation data, and invariant property parameters of each steel in the transmission tower area, a tower-line coupling model of the transmission tower area can be constructed.

[0047] In this embodiment of the invention, the tower-line topology data includes parameters of each component of the tower line. Therefore, based on the tower-line topology data, a three-dimensional refined transmission tower model corresponding to the transmission tower line in the transmission tower line area can be constructed. See also Figures 4 to 6 These are the front view, side view, and top view of an embodiment of the transmission tower model, which contains 2365 nodes and 2981 elements after meshing.

[0048] Regarding power transmission lines, since the length of the conductors and ground wires is much greater than the cross-sectional diameter, their bending, shearing, and torsional forces can usually be neglected. Only tensile force needs to be considered, and the stress between the stranded wires in each layer is not considered. Ignoring their internal structure, the conductors and ground wires can be simulated using a two-node linear three-dimensional truss element T3D2.

[0049] Based on the standards provided for steel-cored aluminum stranded wire, its density is recalculated using the following formula: In the formula, ρ is the transmission line density; W is the weight of the transmission line; A is the cross-sectional area of ​​the transmission line; and L is the length of the transmission line.

[0050] The equation for the catenary of a power transmission line is as follows: In the formula, l is the horizontal distance between the two suspension points; h is the vertical distance between the two suspension points; γ is the ratio of the gravity per unit length of the transmission line to the cross-sectional area of ​​the transmission line; σ0 is the stress at the lowest point of the transmission line, equivalent to the tension per unit cross-section of the transmission line; L h=0 y is the total length of the catenary of the conductor when both ends are at the same height (h=0); y is the vertical coordinate of the transmission conductor at position x; x is the position coordinate along the horizontal direction of the conductor.

[0051] Using the above catenary equations, the coordinates of each discrete node on the catenary can be obtained. By adjusting the values ​​of γ and σ0, the sag of the line can be adjusted. The size of the insulator string is much smaller than that of the tower-line system, therefore it can be simulated using truss elements with tensile and compressive stiffness.

[0052] After assembling the transmission line, insulator, and tower models, a tower-line coupling model is obtained. (See also...) Figure 7 This is a schematic diagram of an embodiment of the tower-line coupling model provided by the present invention. The geometric center of the tension tower is located at the modeling origin, the X direction is parallel to the crossarm direction, the Y direction is the transmission line direction, and the positive Z-axis is vertically upward.

[0053] Step 106: Perform thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in the wildfire.

[0054] As a preferred embodiment, a thermo-coupling simulation is performed on the tower-line coupling model to determine the weak points of the transmission tower line in the event of a wildfire, including: Thermo-coupling simulation was performed on the tower-line coupling model to obtain the displacement and stress values ​​of various parts of the transmission tower line in the transmission tower line region; The displacement values ​​of each part of the transmission tower are compared with the preset displacement threshold, and the parts with displacement values ​​greater than the preset displacement threshold are identified as parts with excessive deformation. The stress values ​​of each part of the transmission tower are compared with the preset stress threshold, and the parts with stress values ​​greater than the preset stress threshold are identified as stress concentration parts. The deformation-exceeding areas and the stress-concentration areas were identified as the weak points of the transmission tower line affected by wildfires.

[0055] In this embodiment of the invention, by combining the actual temperature distribution characteristics of wildfires and the dynamic decay characteristics of materials with the tower-line coupling model, the displacement and stress values ​​of various parts of the transmission tower line are obtained.

[0056] Excessive displacement values ​​indicate that the tower body is tilting or bending under high temperatures, and the conductor sag is abnormally increased, which are signs of structural instability or impending collapse. Excessive stress values ​​indicate that high temperatures have reduced material strength, and the originally safe stress level will exceed the remaining strength, forming stress concentration zones, which are high-risk points for fracture. Therefore, displacement and stress values ​​obtained from model simulations can identify weak points in transmission towers during wildfires.

[0057] Specifically, displacement and stress thresholds are preset. The displacement value of each part of the transmission tower is compared with the displacement threshold, and the stress value of each part of the transmission tower is compared with the stress threshold. Based on the comparison results, parts with displacement values ​​exceeding the displacement threshold are identified as deformation-exceeding parts, and parts with stress values ​​exceeding the stress threshold are identified as stress concentration parts. Excessive displacement or stress values ​​will affect the stability of the transmission tower; therefore, both deformation-exceeding parts and stress concentration parts are identified as weak points in the transmission tower line affected by wildfires.

[0058] Step 107: Conduct a safety status assessment of the power transmission tower area by real-time monitoring of the operational status of the vulnerable parts of the wildfire.

[0059] As a preferred embodiment, a safety status assessment of the transmission tower area is performed by real-time monitoring of the operational status of the vulnerable parts of the wildfire, including: For each vulnerable point in the wildfire, the preset reference position coordinates are obtained, and the current position coordinates and current stress values ​​are collected in real time. Calculate the current displacement based on the reference position coordinates and the current position coordinates; Calculate the risk assessment value based on the current displacement and current stress value; Based on the risk assessment values ​​of each vulnerable point in the wildfire, the safety level for operation and maintenance management of the aforementioned power transmission tower area is determined.

[0060] In this embodiment of the invention, once the vulnerable points of the transmission tower line are identified due to wildfires, the operational status of these vulnerable points can be prioritized during actual operation and maintenance management of the transmission tower line area to determine the current safety status of the area. Specifically, the reference coordinates of each vulnerable point are first determined. During safety status assessment, the current coordinates of each vulnerable point are acquired in real time, along with the current stress value. Based on the reference coordinates and the current coordinates, the current displacement of the corresponding vulnerable point can be calculated.

[0061] For each vulnerable point in the wildfire, a corresponding risk assessment value can be calculated based on its current displacement and stress value: R i =d / d th +s / s th In the formula, R i d represents the risk assessment value of the i-th vulnerable point in the wildfire; d is the current displacement; d th s is the preset displacement threshold; s is the current stress value; s th This is a preset stress threshold.

[0062] Several safety levels are set for the transmission tower and line area. For example, four safety levels can be set: "Safe," "Caution," "Danger," and "High Risk," with different total risk assessment ranges for each safety level. The total risk assessment ranges for "Safe," "Caution," "Danger," and "High Risk" increase progressively.

[0063] After calculating the risk assessment value of each vulnerable point of the wildfire, the risk assessment value of each vulnerable point is compared with the total risk assessment range corresponding to each safety level to determine the safety level of each vulnerable point of the wildfire.

[0064] After obtaining the safety levels of each vulnerable point of the wildfire, the highest safety level among these vulnerable points is determined, and this highest safety level is set as the safety level for the transmission tower area. For example, assuming the safety levels of each vulnerable point on the transmission tower are "Caution," "Caution," and "Danger," then the safety level for the transmission tower area is "Danger."

[0065] Based on the safety level of the transmission tower area, corresponding operation and maintenance control measures can be taken. For example, when the safety level of the transmission tower area is "safe," the operation and maintenance control measures adopted are normal inspections; when the safety level of the transmission tower area is "caution," the operation and maintenance control measures adopted are to increase the frequency of drone inspections; when the safety level of the transmission tower area is "dangerous," the operation and maintenance control measures adopted are to send personnel to the site for duty and prepare for power outages; when the safety level of the transmission tower area is "high risk," the operation and maintenance control measures adopted are to immediately cut off power, organize personnel to extinguish fires, evacuate the line, and strengthen monitoring.

[0066] Implementing the above embodiments has the following effects: This invention provides a method for assessing the condition of transmission towers based on regional temperature stratification. It extracts temperature distribution data of wildfire flame temperature variations with altitude, thereby dividing the transmission tower area into several temperature zones, and setting temperature loads for each zone. Based on these temperature loads, the temperature variation properties of steel within each temperature zone are corrected to obtain the corrected temperature variation properties. A tower-line coupling model for the transmission tower area is constructed based on the tower topology data, vegetation data, temperature loads in each temperature zone, and the constant and corrected temperature variation properties of each steel material. Thermo-coupling simulation is performed on the tower-line coupling model to identify vulnerable points in the transmission towers due to wildfires. Finally, the safety status of the transmission tower area is assessed by real-time monitoring of the operational status of these vulnerable points. This invention, based on temperature distribution data obtained from vegetation burning experiments, divides the transmission tower area into multiple temperature zones and sets different temperature loads for each zone, considering the temperature difference between transmission tower areas at different heights, indicating that the impact of wildfire flames varies among temperature zones. Furthermore, it corrects the temperature variation property parameters of steel in the transmission tower area based on each temperature load, considering the influence of temperature on steel material properties. Taking into account the temperature field distribution and the influence of temperature on steel material properties, a tower-line coupling model is constructed, and the safety status assessment of the transmission tower area is achieved through model simulation results, effectively improving the accuracy of transmission tower status assessment.

[0067] like Figure 8 As shown, based on the above method embodiments, corresponding apparatus embodiments are provided; One embodiment of the present invention provides a transmission tower condition assessment device based on regional temperature stratification, comprising: a data extraction module, a regional division module, a temperature change parameter identification module, a temperature change parameter correction module, a model construction module, a model simulation module, and a condition assessment module; The data extraction module is used to extract temperature distribution data in the transmission tower area; wherein, the temperature distribution data is used to characterize the change of wildfire flame temperature with altitude; The region division module is used to divide the transmission tower area into several temperature regions based on the temperature distribution data, and to set temperature loads for each temperature region based on the temperature distribution data. The temperature change parameter identification module is used to determine the constant property parameters and temperature change property parameters of each steel material based on the temperature characteristic data of each steel material in the transmission tower area. The temperature change parameter correction module is used to correct the temperature change attribute parameters for each steel based on the temperature load corresponding to the temperature region where the steel is located, and obtain the corrected temperature change attribute parameters. The model building module is used to construct a tower-line coupling model of the transmission tower area based on the tower-line topology data, vegetation data, temperature load of each temperature zone, and invariant property parameters and corrected temperature change property parameters of each steel material in the transmission tower area. The model simulation module is used to perform thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in wildfires. The status assessment module is used to assess the safety status of the power transmission tower area by detecting the operational status of the vulnerable parts of the wildfire in real time.

[0068] As a preferred embodiment, extracting temperature distribution data in the transmission tower area includes: Acquire vegetation type, vegetation density, and vegetation height in the transmission tower area to generate vegetation data; The corresponding experimental vegetation samples were determined based on the vegetation data. Extract several flame images of the experimental vegetation samples during the combustion experiment; Based on several flame images, construct temperature change curves at each preset height; Based on the temperature change curves at each preset height, calculate the average and maximum combustion temperatures at each preset height. Temperature distribution data is generated based on the average and maximum combustion temperatures at each preset height.

[0069] As a preferred embodiment, based on the temperature distribution data, the transmission tower area is divided into several temperature zones, including: Using vertical height as the dividing direction, the temperature difference between the average combustion temperatures of adjacent preset heights is calculated based on the temperature distribution data. The preset height corresponding to a temperature difference value greater than a preset temperature difference threshold is defined as the critical height; The transmission tower area is divided into several temperature zones based on each critical height.

[0070] As a preferred embodiment, temperature loads are set for each temperature region based on the temperature distribution data, including: For each temperature zone, the maximum combustion temperature at each preset height within the temperature zone is determined based on the temperature distribution data; The average value of the maximum combustion temperature at each preset height within the temperature range is obtained by averaging the maximum combustion temperature. The average maximum combustion temperature is set as the temperature load for the corresponding temperature region.

[0071] As a preferred embodiment, the temperature change property parameters are corrected based on the temperature load corresponding to the temperature region where the steel is located, resulting in corrected temperature change property parameters, including: Obtain the temperature change property values ​​corresponding to each temperature change property parameter of the experimental steel under different experimental temperature loads; For each temperature change property parameter, the relationship between temperature and the change in temperature change property parameter is analyzed based on the temperature change property value under different experimental temperature loads, and the temperature decay coefficient is obtained. Based on the temperature load corresponding to the temperature range where the steel is located, the temperature decay coefficient, the preset reference temperature change attribute parameters, and the reference temperature corresponding to the preset reference temperature change attribute parameters, the corrected temperature change attribute parameters are calculated.

[0072] As a preferred embodiment, a thermo-coupling simulation is performed on the tower-line coupling model to determine the weak points of the transmission tower line in the event of a wildfire, including: Thermo-coupling simulation was performed on the tower-line coupling model to obtain the displacement and stress values ​​of various parts of the transmission tower line in the transmission tower line region; The displacement values ​​of each part of the transmission tower are compared with the preset displacement threshold, and the parts with displacement values ​​greater than the preset displacement threshold are identified as parts with excessive deformation. The stress values ​​of each part of the transmission tower are compared with the preset stress threshold, and the parts with stress values ​​greater than the preset stress threshold are identified as stress concentration parts. The deformation-exceeding areas and the stress-concentration areas were identified as the weak points of the transmission tower line affected by wildfires.

[0073] As a preferred embodiment, a safety status assessment of the transmission tower area is performed by real-time monitoring of the operational status of the vulnerable parts of the wildfire, including: For each vulnerable point in the wildfire, the preset reference position coordinates are obtained, and the current position coordinates and current stress values ​​are collected in real time. Calculate the current displacement based on the reference position coordinates and the current position coordinates; Calculate the risk assessment value based on the current displacement and current stress value; Based on the risk assessment values ​​of each vulnerable point in the wildfire, the safety level for operation and maintenance management of the aforementioned power transmission tower area is determined.

[0074] Implementing the above embodiments has the following effects: This invention provides a transmission tower condition assessment device based on regional temperature stratification. It extracts temperature distribution data of wildfire flame temperature variations with altitude, thereby dividing the transmission tower area into several temperature zones, and setting temperature loads for each zone. Based on these temperature loads, the temperature variation properties of steel within each temperature zone are corrected to obtain the corrected temperature variation properties. A tower-line coupling model for the transmission tower area is constructed based on the tower topology data, vegetation data, temperature loads in each temperature zone, and the constant and corrected temperature variation properties of each steel material. Thermo-coupling simulation is performed on the tower-line coupling model to identify the vulnerable points of the transmission towers in wildfires. By real-time monitoring of the operational status of these vulnerable points, the safety status of the transmission tower area is assessed. This invention, based on temperature distribution data obtained from vegetation burning experiments, divides the transmission tower area into multiple temperature zones and sets different temperature loads for each zone, considering the temperature difference between transmission tower areas at different heights, indicating that the impact of wildfire flames varies among temperature zones. Furthermore, it corrects the temperature variation property parameters of steel in the transmission tower area based on each temperature load, considering the influence of temperature on steel material properties. Taking into account the temperature field distribution and the influence of temperature on steel material properties, a tower-line coupling model is constructed, and the safety status assessment of the transmission tower area is achieved through model simulation results, effectively improving the accuracy of transmission tower status assessment.

[0075] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can realize the transmission tower condition assessment method based on regional temperature stratification provided by any of the above-described method embodiments of the present invention.

[0076] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0077] Based on the above embodiments of the transmission tower condition assessment method based on regional temperature stratification, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the transmission tower condition assessment method based on regional temperature stratification of any embodiment of the present invention.

[0078] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0079] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0080] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0081] Based on the above-described method embodiments, another embodiment of the present invention provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the transmission tower condition assessment method based on regional temperature stratification as described in any of the above-described method embodiments of the present invention.

[0082] The modules / units integrated in the device / terminal equipment, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0083] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for assessing the condition of transmission towers and lines based on regional temperature stratification, characterized in that, include: Extract temperature distribution data in the area of ​​the transmission tower line; wherein, the temperature distribution data is used to characterize the variation of wildfire flame temperature with altitude; Based on the temperature distribution data, the transmission tower area is divided into several temperature zones, and temperature loads are set for each temperature zone based on the temperature distribution data. Based on the temperature characteristic data of each steel material in the transmission tower area, determine the invariant property parameters and temperature-varying property parameters of each steel material; For each type of steel, the temperature change property parameters are corrected based on the temperature load corresponding to the temperature region in which the steel is located, and the corrected temperature change property parameters are obtained. Based on the tower topology data, vegetation data, temperature loads in each temperature zone, and invariant and corrected temperature change parameters of each steel material in the transmission tower area, a tower-line coupling model for the transmission tower area is constructed. Thermo-coupling simulation was performed on the tower-line coupling model to identify the weak points of the transmission tower line in the wildfire. By monitoring the operational status of the vulnerable parts of the wildfire in real time, a safety status assessment is conducted on the power transmission tower area.

2. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 1, characterized in that, The extraction of temperature distribution data in the transmission tower area includes: Acquire vegetation type, vegetation density, and vegetation height in the transmission tower area to generate vegetation data; The corresponding experimental vegetation samples were determined based on the vegetation data. Extract several flame images of the experimental vegetation samples during the combustion experiment; Based on several flame images, construct temperature change curves at each preset height; Based on the temperature change curves at each preset height, calculate the average and maximum combustion temperatures at each preset height. Temperature distribution data is generated based on the average and maximum combustion temperatures at each preset height.

3. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 2, characterized in that, Based on the temperature distribution data, the transmission tower area is divided into several temperature zones, including: Using vertical height as the dividing direction, the temperature difference between the average combustion temperatures of adjacent preset heights is calculated based on the temperature distribution data. The preset height corresponding to a temperature difference value greater than a preset temperature difference threshold is defined as the critical height; The transmission tower area is divided into several temperature zones based on each critical height.

4. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 3, characterized in that, Based on the temperature distribution data, temperature loads are set for each temperature region, including: For each temperature zone, the maximum combustion temperature at each preset height within the temperature zone is determined based on the temperature distribution data; The average value of the maximum combustion temperature at each preset height within the temperature range is obtained by averaging the maximum combustion temperature. The average maximum combustion temperature is set as the temperature load for the corresponding temperature region.

5. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 4, characterized in that, Based on the temperature load corresponding to the temperature range in which the steel is located, the temperature change property parameters are corrected to obtain the corrected temperature change property parameters, including: Obtain the temperature change property values ​​corresponding to each temperature change property parameter of the experimental steel under different experimental temperature loads; For each temperature change property parameter, the relationship between temperature and the change in temperature change property parameter is analyzed based on the temperature change property value under different experimental temperature loads, and the temperature decay coefficient is obtained. Based on the temperature load corresponding to the temperature range where the steel is located, the temperature attenuation coefficient, the preset reference temperature change attribute parameters, and the reference temperature corresponding to the preset reference temperature change attribute parameters, the corrected temperature change attribute parameters are calculated.

6. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 5, characterized in that, The process of performing thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in wildfires includes: Thermo-coupling simulation was performed on the tower-line coupling model to obtain the displacement and stress values ​​of various parts of the transmission tower line in the transmission tower line region; The displacement values ​​of each part of the transmission tower are compared with the preset displacement threshold, and the parts with displacement values ​​greater than the preset displacement threshold are identified as parts with excessive deformation. The stress values ​​of each part of the transmission tower are compared with the preset stress threshold, and the parts with stress values ​​greater than the preset stress threshold are identified as stress concentration parts. The deformation-exceeding areas and the stress-concentration areas were identified as the weak points of the transmission tower line affected by wildfires.

7. The method for assessing the condition of transmission towers and lines based on regional temperature stratification according to claim 6, characterized in that, The method of assessing the safety status of the transmission tower area by real-time monitoring of the operational status of the vulnerable parts of the wildfire includes: For each vulnerable point in the wildfire, the preset reference position coordinates are obtained, and the current position coordinates and current stress values ​​are collected in real time. Calculate the current displacement based on the reference position coordinates and the current position coordinates; Calculate the risk assessment value based on the current displacement and current stress value; Based on the risk assessment values ​​of each vulnerable point in the wildfire, the safety level for operation and maintenance management of the aforementioned power transmission tower area is determined.

8. A transmission tower condition assessment device based on regional temperature stratification, characterized in that, include: The system includes a data extraction module, a region division module, a temperature change parameter identification module, a temperature change parameter correction module, a model building module, a model simulation module, and a state assessment module. The data extraction module is used to extract temperature distribution data in the transmission tower area; wherein, the temperature distribution data is used to characterize the change of wildfire flame temperature with altitude; The region division module is used to divide the transmission tower area into several temperature regions based on the temperature distribution data, and to set temperature loads for each temperature region based on the temperature distribution data. The temperature change parameter identification module is used to determine the constant property parameters and temperature change property parameters of each steel material based on the temperature characteristic data of each steel material in the transmission tower area. The temperature change parameter correction module is used to correct the temperature change attribute parameters for each steel based on the temperature load corresponding to the temperature region where the steel is located, and obtain the corrected temperature change attribute parameters. The model building module is used to construct a tower-line coupling model of the transmission tower area based on the tower-line topology data, vegetation data, temperature load of each temperature zone, and invariant property parameters and corrected temperature change property parameters of each steel material in the transmission tower area. The model simulation module is used to perform thermo-coupling simulation on the tower-line coupling model to determine the weak points of the transmission tower line in wildfires. The status assessment module is used to assess the safety status of the power transmission tower area by detecting the operational status of the vulnerable parts of the wildfire in real time.

9. A terminal device, characterized in that, The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein, when the processor executes the computer program, it implements the transmission tower condition assessment method based on regional temperature stratification as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, include: A stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the transmission tower condition assessment method based on regional temperature stratification as described in any one of claims 1-7.

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